diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
deleted file mode 100644
index e224006..0000000
--- a/.github/workflows/ci.yml
+++ /dev/null
@@ -1,94 +0,0 @@
-name: CI
-
-on:
-  push:
-    branches: [main]
-  pull_request:
-    branches: [main]
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.ref }}
-  cancel-in-progress: true
-
-jobs:
-  python:
-    name: Python (lint + test)
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-
-      - uses: astral-sh/setup-uv@v4
-        with:
-          enable-cache: true
-
-      - name: Install dependencies
-        run: uv sync
-
-      - name: Ruff check
-        run: uv run ruff check .
-
-      - name: Deptry (unused dependencies)
-        run: uv run deptry .
-
-      - name: Tests
-        run: |
-          uv run pytest pipeline/utils/test_haversine.py
-          uv run pytest pipeline/utils/test_poi_counts.py
-          uv run pytest pipeline/transform/postcode_boundaries/test_postcode_boundaries.py
-
-  frontend:
-    name: Frontend (lint + typecheck)
-    runs-on: ubuntu-latest
-    defaults:
-      run:
-        working-directory: frontend
-    steps:
-      - uses: actions/checkout@v4
-
-      - uses: actions/setup-node@v4
-        with:
-          node-version: 22
-          cache: npm
-          cache-dependency-path: frontend/package-lock.json
-
-      - name: Install dependencies
-        run: npm ci
-
-      - name: ESLint
-        run: npm run lint
-
-      - name: Prettier check
-        run: npm run format:check
-
-      - name: TypeScript typecheck
-        run: npm run typecheck
-
-  rust:
-    name: Rust (lint + test)
-    runs-on: ubuntu-latest
-    defaults:
-      run:
-        working-directory: server-rs
-    steps:
-      - uses: actions/checkout@v4
-
-      - uses: dtolnay/rust-toolchain@stable
-
-      - uses: Swatinem/rust-cache@v2
-        with:
-          workspaces: server-rs
-
-      - name: Clippy
-        run: cargo clippy -- -D warnings
-
-      - name: Format check
-        run: cargo fmt --check
-
-      - name: Install cargo-machete
-        run: cargo install cargo-machete
-
-      - name: Unused dependencies check
-        run: cargo machete
-
-      - name: Tests
-        run: cargo test
diff --git a/.github/workflows/docker-publish.yml b/.github/workflows/docker-publish.yml
deleted file mode 100644
index 08578c6..0000000
--- a/.github/workflows/docker-publish.yml
+++ /dev/null
@@ -1,72 +0,0 @@
-name: Build and publish Docker image
-
-on:
-  push:
-    branches: [main]
-    tags: ["v*"]
-  workflow_dispatch:
-
-env:
-  REGISTRY: ghcr.io
-  IMAGE_NAME: ${{ github.repository }}
-
-jobs:
-  build-and-push:
-    runs-on: ubuntu-latest
-    permissions:
-      contents: read
-      packages: write
-
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-
-      - name: Set up uv
-        uses: astral-sh/setup-uv@v4
-
-      - name: Download map assets (fonts, sprites, twemoji)
-        run: uv run python -m pipeline.download.map_assets --output frontend/public/assets
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Log in to GitHub Container Registry
-        uses: docker/login-action@v3
-        with:
-          registry: ${{ env.REGISTRY }}
-          username: ${{ github.actor }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Extract metadata (tags, labels)
-        id: meta
-        uses: docker/metadata-action@v5
-        with:
-          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
-          tags: |
-            type=sha
-            type=raw,value=latest,enable={{is_default_branch}}
-            type=semver,pattern={{version}}
-            type=semver,pattern={{major}}.{{minor}}
-
-      - name: Build and push
-        uses: docker/build-push-action@v6
-        with:
-          context: .
-          push: true
-          tags: ${{ steps.meta.outputs.tags }}
-          labels: ${{ steps.meta.outputs.labels }}
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
-
-      - name: Build and push screenshot service
-        uses: docker/build-push-action@v6
-        with:
-          context: ./screenshot
-          push: true
-          tags: |
-            ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}-screenshot:latest
-            ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}-screenshot:sha-${{ github.sha }}
-          labels: ${{ steps.meta.outputs.labels }}
-          cache-from: type=gha,scope=screenshot
-          cache-to: type=gha,mode=max,scope=screenshot
-
diff --git a/Makefile.data b/Makefile.data
index 207865a..ff21f76 100644
--- a/Makefile.data
+++ b/Makefile.data
@@ -22,6 +22,7 @@ POIS_RAW        := $(DATA_DIR)/uk_pois.parquet
 POIS_FILTERED   := $(DATA_DIR)/filtered_uk_pois.parquet
 POI_PROXIMITY   := $(DATA_DIR)/poi_proximity.parquet
 EPC_PP          := $(DATA_DIR)/epc_pp.parquet
+POSTCODES_RAW   := $(DATA_DIR)/gb-postcodes-v5
 POSTCODES_PQ    := $(DATA_DIR)/postcode.parquet
 PROPERTIES_PQ   := $(DATA_DIR)/properties.parquet
 MERGE_STAMP     := $(DATA_DIR)/.merge_done
@@ -80,7 +81,7 @@ download-naptan:              $(NAPTAN)
 download-pois:                $(POIS_RAW)
 download-ofsted:              $(OFSTED)
 download-broadband:           $(BROADBAND)
-download-postcodes:           $(POSTCODES)
+download-postcodes:           $(POSTCODES_RAW)
 download-rental-prices:       $(RENTAL)
 download-noise:               $(NOISE)
 download-inspire:             $(INSPIRE_STAMP)
@@ -154,7 +155,7 @@ $(OFSTED):
 $(BROADBAND):
 	uv run python -m pipeline.download.broadband --output $@
 
-$(POSTCODES):
+$(POSTCODES_RAW):
 	uv run python -m pipeline.download.postcodes --output $@
 
 $(NOISE): $(ARCGIS)
diff --git a/Taskfile.yml b/Taskfile.yml
index 25b403d..41aebe8 100644
--- a/Taskfile.yml
+++ b/Taskfile.yml
@@ -26,6 +26,7 @@ tasks:
     cmds:
       - uv run pytest pipeline/utils/test_haversine.py
       - uv run pytest pipeline/utils/test_poi_counts.py
+      - uv run pytest pipeline/download/test_naptan.py
       - uv run pytest pipeline/transform/postcode_boundaries/test_postcode_boundaries.py
 
   test:python:fuzzy-join:
diff --git a/frontend/package-lock.json b/frontend/package-lock.json
index b0b734a..7cbef45 100644
--- a/frontend/package-lock.json
+++ b/frontend/package-lock.json
@@ -34,6 +34,7 @@
         "@babel/preset-react": "^7.28.5",
         "@babel/preset-typescript": "^7.28.5",
         "@pmmmwh/react-refresh-webpack-plugin": "^0.6.2",
+        "@testing-library/react": "^16.3.2",
         "@types/react": "^18.2.0",
         "@types/react-dom": "^18.2.0",
         "@typescript-eslint/eslint-plugin": "^7.0.0",
@@ -48,6 +49,7 @@
         "favicons": "^7.2.0",
         "favicons-webpack-plugin": "^6.0.1",
         "html-webpack-plugin": "^5.6.0",
+        "jsdom": "^29.1.1",
         "mini-css-extract-plugin": "^2.9.0",
         "postcss": "^8.4.0",
         "postcss-loader": "^8.0.0",
@@ -58,6 +60,7 @@
         "tailwindcss": "^3.4.0",
         "ts-loader": "^9.5.0",
         "typescript": "^5.4.0",
+        "vitest": "^4.1.5",
         "webpack": "^5.90.0",
         "webpack-cli": "^5.1.0",
         "webpack-dev-server": "^5.0.0"
@@ -76,6 +79,57 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/@asamuzakjp/css-color": {
+      "version": "5.1.11",
+      "resolved": "https://registry.npmjs.org/@asamuzakjp/css-color/-/css-color-5.1.11.tgz",
+      "integrity": "sha512-KVw6qIiCTUQhByfTd78h2yD1/00waTmm9uy/R7Ck/ctUyAPj+AEDLkQIdJW0T8+qGgj3j5bpNKK7Q3G+LedJWg==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@asamuzakjp/generational-cache": "^1.0.1",
+        "@csstools/css-calc": "^3.2.0",
+        "@csstools/css-color-parser": "^4.1.0",
+        "@csstools/css-parser-algorithms": "^4.0.0",
+        "@csstools/css-tokenizer": "^4.0.0"
+      },
+      "engines": {
+        "node": "^20.19.0 || ^22.12.0 || >=24.0.0"
+      }
+    },
+    "node_modules/@asamuzakjp/dom-selector": {
+      "version": "7.1.1",
+      "resolved": "https://registry.npmjs.org/@asamuzakjp/dom-selector/-/dom-selector-7.1.1.tgz",
+      "integrity": "sha512-67RZDnYRc8H/8MLDgQCDE//zoqVFwajkepHZgmXrbwybzXOEwOWGPYGmALYl9J2DOLfFPPs6kKCqmbzV895hTQ==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@asamuzakjp/generational-cache": "^1.0.1",
+        "@asamuzakjp/nwsapi": "^2.3.9",
+        "bidi-js": "^1.0.3",
+        "css-tree": "^3.2.1",
+        "is-potential-custom-element-name": "^1.0.1"
+      },
+      "engines": {
+        "node": "^20.19.0 || ^22.12.0 || >=24.0.0"
+      }
+    },
+    "node_modules/@asamuzakjp/generational-cache": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/@asamuzakjp/generational-cache/-/generational-cache-1.0.1.tgz",
+      "integrity": "sha512-wajfB8KqzMCN2KGNFdLkReeHncd0AslUSrvHVvvYWuU8ghncRJoA50kT3zP9MVL0+9g4/67H+cdvBskj9THPzg==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": "^20.19.0 || ^22.12.0 || >=24.0.0"
+      }
+    },
+    "node_modules/@asamuzakjp/nwsapi": {
+      "version": "2.3.9",
+      "resolved": "https://registry.npmjs.org/@asamuzakjp/nwsapi/-/nwsapi-2.3.9.tgz",
+      "integrity": "sha512-n8GuYSrI9bF7FFZ/SjhwevlHc8xaVlb/7HmHelnc/PZXBD2ZR49NnN9sMMuDdEGPeeRQ5d0hqlSlEpgCX3Wl0Q==",
+      "dev": true,
+      "license": "MIT"
+    },
     "node_modules/@babel/code-frame": {
       "version": "7.29.0",
       "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.29.0.tgz",
@@ -1718,6 +1772,159 @@
         "node": ">=6.9.0"
       }
     },
+    "node_modules/@bramus/specificity": {
+      "version": "2.4.2",
+      "resolved": "https://registry.npmjs.org/@bramus/specificity/-/specificity-2.4.2.tgz",
+      "integrity": "sha512-ctxtJ/eA+t+6q2++vj5j7FYX3nRu311q1wfYH3xjlLOsczhlhxAg2FWNUXhpGvAw3BWo1xBcvOV6/YLc2r5FJw==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "css-tree": "^3.0.0"
+      },
+      "bin": {
+        "specificity": "bin/cli.js"
+      }
+    },
+    "node_modules/@csstools/color-helpers": {
+      "version": "6.0.2",
+      "resolved": "https://registry.npmjs.org/@csstools/color-helpers/-/color-helpers-6.0.2.tgz",
+      "integrity": "sha512-LMGQLS9EuADloEFkcTBR3BwV/CGHV7zyDxVRtVDTwdI2Ca4it0CCVTT9wCkxSgokjE5Ho41hEPgb8OEUwoXr6Q==",
+      "dev": true,
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/csstools"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/csstools"
+        }
+      ],
+      "license": "MIT-0",
+      "engines": {
+        "node": ">=20.19.0"
+      }
+    },
+    "node_modules/@csstools/css-calc": {
+      "version": "3.2.0",
+      "resolved": "https://registry.npmjs.org/@csstools/css-calc/-/css-calc-3.2.0.tgz",
+      "integrity": "sha512-bR9e6o2BDB12jzN/gIbjHa5wLJ4UjD1CB9pM7ehlc0ddk6EBz+yYS1EV2MF55/HUxrHcB/hehAyt5vhsA3hx7w==",
+      "dev": true,
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/csstools"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/csstools"
+        }
+      ],
+      "license": "MIT",
+      "engines": {
+        "node": ">=20.19.0"
+      },
+      "peerDependencies": {
+        "@csstools/css-parser-algorithms": "^4.0.0",
+        "@csstools/css-tokenizer": "^4.0.0"
+      }
+    },
+    "node_modules/@csstools/css-color-parser": {
+      "version": "4.1.0",
+      "resolved": "https://registry.npmjs.org/@csstools/css-color-parser/-/css-color-parser-4.1.0.tgz",
+      "integrity": "sha512-U0KhLYmy2GVj6q4T3WaAe6NPuFYCPQoE3b0dRGxejWDgcPp8TP7S5rVdM5ZrFaqu4N67X8YaPBw14dQSYx3IyQ==",
+      "dev": true,
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/csstools"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/csstools"
+        }
+      ],
+      "license": "MIT",
+      "dependencies": {
+        "@csstools/color-helpers": "^6.0.2",
+        "@csstools/css-calc": "^3.2.0"
+      },
+      "engines": {
+        "node": ">=20.19.0"
+      },
+      "peerDependencies": {
+        "@csstools/css-parser-algorithms": "^4.0.0",
+        "@csstools/css-tokenizer": "^4.0.0"
+      }
+    },
+    "node_modules/@csstools/css-parser-algorithms": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/@csstools/css-parser-algorithms/-/css-parser-algorithms-4.0.0.tgz",
+      "integrity": "sha512-+B87qS7fIG3L5h3qwJ/IFbjoVoOe/bpOdh9hAjXbvx0o8ImEmUsGXN0inFOnk2ChCFgqkkGFQ+TpM5rbhkKe4w==",
+      "dev": true,
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/csstools"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/csstools"
+        }
+      ],
+      "license": "MIT",
+      "engines": {
+        "node": ">=20.19.0"
+      },
+      "peerDependencies": {
+        "@csstools/css-tokenizer": "^4.0.0"
+      }
+    },
+    "node_modules/@csstools/css-syntax-patches-for-csstree": {
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/@csstools/css-syntax-patches-for-csstree/-/css-syntax-patches-for-csstree-1.1.3.tgz",
+      "integrity": "sha512-SH60bMfrRCJF3morcdk57WklujF4Jr/EsQUzqkarfHXEFcAR1gg7fS/chAE922Sehgzc1/+Tz5H3Ypa1HiEKrg==",
+      "dev": true,
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/csstools"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/csstools"
+        }
+      ],
+      "license": "MIT-0",
+      "peerDependencies": {
+        "css-tree": "^3.2.1"
+      },
+      "peerDependenciesMeta": {
+        "css-tree": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@csstools/css-tokenizer": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/@csstools/css-tokenizer/-/css-tokenizer-4.0.0.tgz",
+      "integrity": "sha512-QxULHAm7cNu72w97JUNCBFODFaXpbDg+dP8b/oWFAZ2MTRppA3U00Y2L1HqaS4J6yBqxwa/Y3nMBaxVKbB/NsA==",
+      "dev": true,
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/csstools"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/csstools"
+        }
+      ],
+      "license": "MIT",
+      "engines": {
+        "node": ">=20.19.0"
+      }
+    },
     "node_modules/@deck.gl/core": {
       "version": "9.2.6",
       "resolved": "https://registry.npmjs.org/@deck.gl/core/-/core-9.2.6.tgz",
@@ -1888,11 +2095,35 @@
         "node": ">=10.0.0"
       }
     },
-    "node_modules/@emnapi/runtime": {
-      "version": "1.8.1",
-      "resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.8.1.tgz",
-      "integrity": "sha512-mehfKSMWjjNol8659Z8KxEMrdSJDDot5SXMq00dM8BN4o+CLNXQ0xH2V7EchNHV4RmbZLmmPdEaXZc5H2FXmDg==",
+    "node_modules/@emnapi/core": {
+      "version": "1.10.0",
+      "resolved": "https://registry.npmjs.org/@emnapi/core/-/core-1.10.0.tgz",
+      "integrity": "sha512-yq6OkJ4p82CAfPl0u9mQebQHKPJkY7WrIuk205cTYnYe+k2Z8YBh11FrbRG/H6ihirqcacOgl2BIO8oyMQLeXw==",
       "dev": true,
+      "license": "MIT",
+      "optional": true,
+      "dependencies": {
+        "@emnapi/wasi-threads": "1.2.1",
+        "tslib": "^2.4.0"
+      }
+    },
+    "node_modules/@emnapi/runtime": {
+      "version": "1.10.0",
+      "resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.10.0.tgz",
+      "integrity": "sha512-ewvYlk86xUoGI0zQRNq/mC+16R1QeDlKQy21Ki3oSYXNgLb45GV1P6A0M+/s6nyCuNDqe5VpaY84BzXGwVbwFA==",
+      "dev": true,
+      "license": "MIT",
+      "optional": true,
+      "dependencies": {
+        "tslib": "^2.4.0"
+      }
+    },
+    "node_modules/@emnapi/wasi-threads": {
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/@emnapi/wasi-threads/-/wasi-threads-1.2.1.tgz",
+      "integrity": "sha512-uTII7OYF+/Mes/MrcIOYp5yOtSMLBWSIoLPpcgwipoiKbli6k322tcoFsxoIIxPDqW01SQGAgko4EzZi2BNv2w==",
+      "dev": true,
+      "license": "MIT",
       "optional": true,
       "dependencies": {
         "tslib": "^2.4.0"
@@ -3508,6 +3739,25 @@
         "@math.gl/core": "4.1.0"
       }
     },
+    "node_modules/@napi-rs/wasm-runtime": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/@napi-rs/wasm-runtime/-/wasm-runtime-1.1.4.tgz",
+      "integrity": "sha512-3NQNNgA1YSlJb/kMH1ildASP9HW7/7kYnRI2szWJaofaS1hWmbGI4H+d3+22aGzXXN9IJ+n+GiFVcGipJP18ow==",
+      "dev": true,
+      "license": "MIT",
+      "optional": true,
+      "dependencies": {
+        "@tybys/wasm-util": "^0.10.1"
+      },
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/Brooooooklyn"
+      },
+      "peerDependencies": {
+        "@emnapi/core": "^1.7.1",
+        "@emnapi/runtime": "^1.7.1"
+      }
+    },
     "node_modules/@noble/hashes": {
       "version": "1.4.0",
       "resolved": "https://registry.npmjs.org/@noble/hashes/-/hashes-1.4.0.tgz",
@@ -3559,6 +3809,16 @@
         "node": ">= 8"
       }
     },
+    "node_modules/@oxc-project/types": {
+      "version": "0.127.0",
+      "resolved": "https://registry.npmjs.org/@oxc-project/types/-/types-0.127.0.tgz",
+      "integrity": "sha512-aIYXQBo4lCbO4z0R3FHeucQHpF46l2LbMdxRvqvuRuW2OxdnSkcng5B8+K12spgLDj93rtN3+J2Vac/TIO+ciQ==",
+      "dev": true,
+      "license": "MIT",
+      "funding": {
+        "url": "https://github.com/sponsors/Boshen"
+      }
+    },
     "node_modules/@peculiar/asn1-cms": {
       "version": "2.6.0",
       "resolved": "https://registry.npmjs.org/@peculiar/asn1-cms/-/asn1-cms-2.6.0.tgz",
@@ -4358,6 +4618,344 @@
       "integrity": "sha512-HPwpGIzkl28mWyZqG52jiqDJ12waP11Pa1lGoiyUkIEuMLBP0oeK/C89esbXrxsky5we7dfd8U58nm0SgAWpVw==",
       "license": "MIT"
     },
+    "node_modules/@rolldown/binding-android-arm64": {
+      "version": "1.0.0-rc.17",
+      "resolved": "https://registry.npmjs.org/@rolldown/binding-android-arm64/-/binding-android-arm64-1.0.0-rc.17.tgz",
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+      "integrity": "sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A==",
       "dev": true,
       "license": "MIT",
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@@ -13925,6 +15370,36 @@
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       "license": "ISC"
     },
+    "node_modules/tinyrainbow": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/tinyrainbow/-/tinyrainbow-3.1.0.tgz",
+      "integrity": "sha512-Bf+ILmBgretUrdJxzXM0SgXLZ3XfiaUuOj/IKQHuTXip+05Xn+uyEYdVg0kYDipTBcLrCVyUzAPz7QmArb0mmw==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=14.0.0"
+      }
+    },
+    "node_modules/tldts": {
+      "version": "7.0.30",
+      "resolved": "https://registry.npmjs.org/tldts/-/tldts-7.0.30.tgz",
+      "integrity": "sha512-ELrFxuqsDdHUwoh0XxDbxuLD3Wnz49Z57IFvTtvWy1hJdcMZjXLIuonjilCiWHlT2GbE4Wlv1wKVTzDFnXH1aw==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "tldts-core": "^7.0.30"
+      },
+      "bin": {
+        "tldts": "bin/cli.js"
+      }
+    },
+    "node_modules/tldts-core": {
+      "version": "7.0.30",
+      "resolved": "https://registry.npmjs.org/tldts-core/-/tldts-core-7.0.30.tgz",
+      "integrity": "sha512-uiHN8PIB1VmWyS98eZYja4xzlYqeFZVjb4OuYlJQnZAuJhMw4PbKQOKgHKhBdJR3FE/t5mUQ1Kd80++B+qhD1Q==",
+      "dev": true,
+      "license": "MIT"
+    },
     "node_modules/to-regex-range": {
       "version": "5.0.1",
       "resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz",
@@ -13948,6 +15423,32 @@
         "node": ">=0.6"
       }
     },
+    "node_modules/tough-cookie": {
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-6.0.1.tgz",
+      "integrity": "sha512-LktZQb3IeoUWB9lqR5EWTHgW/VTITCXg4D21M+lvybRVdylLrRMnqaIONLVb5mav8vM19m44HIcGq4qASeu2Qw==",
+      "dev": true,
+      "license": "BSD-3-Clause",
+      "dependencies": {
+        "tldts": "^7.0.5"
+      },
+      "engines": {
+        "node": ">=16"
+      }
+    },
+    "node_modules/tr46": {
+      "version": "6.0.0",
+      "resolved": "https://registry.npmjs.org/tr46/-/tr46-6.0.0.tgz",
+      "integrity": "sha512-bLVMLPtstlZ4iMQHpFHTR7GAGj2jxi8Dg0s2h2MafAE4uSWF98FC/3MomU51iQAMf8/qDUbKWf5GxuvvVcXEhw==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "punycode": "^2.3.1"
+      },
+      "engines": {
+        "node": ">=20"
+      }
+    },
     "node_modules/tree-changes": {
       "version": "0.11.3",
       "resolved": "https://registry.npmjs.org/tree-changes/-/tree-changes-0.11.3.tgz",
@@ -14223,6 +15724,16 @@
         "url": "https://github.com/sponsors/ljharb"
       }
     },
+    "node_modules/undici": {
+      "version": "7.25.0",
+      "resolved": "https://registry.npmjs.org/undici/-/undici-7.25.0.tgz",
+      "integrity": "sha512-xXnp4kTyor2Zq+J1FfPI6Eq3ew5h6Vl0F/8d9XU5zZQf1tX9s2Su1/3PiMmUANFULpmksxkClamIZcaUqryHsQ==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=20.18.1"
+      }
+    },
     "node_modules/undici-types": {
       "version": "7.16.0",
       "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-7.16.0.tgz",
@@ -14430,6 +15941,200 @@
         "node": ">= 0.8"
       }
     },
+    "node_modules/vite": {
+      "version": "8.0.10",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-8.0.10.tgz",
+      "integrity": "sha512-rZuUu9j6J5uotLDs+cAA4O5H4K1SfPliUlQwqa6YEwSrWDZzP4rhm00oJR5snMewjxF5V/K3D4kctsUTsIU9Mw==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "lightningcss": "^1.32.0",
+        "picomatch": "^4.0.4",
+        "postcss": "^8.5.10",
+        "rolldown": "1.0.0-rc.17",
+        "tinyglobby": "^0.2.16"
+      },
+      "bin": {
+        "vite": "bin/vite.js"
+      },
+      "engines": {
+        "node": "^20.19.0 || >=22.12.0"
+      },
+      "funding": {
+        "url": "https://github.com/vitejs/vite?sponsor=1"
+      },
+      "optionalDependencies": {
+        "fsevents": "~2.3.3"
+      },
+      "peerDependencies": {
+        "@types/node": "^20.19.0 || >=22.12.0",
+        "@vitejs/devtools": "^0.1.0",
+        "esbuild": "^0.27.0 || ^0.28.0",
+        "jiti": ">=1.21.0",
+        "less": "^4.0.0",
+        "sass": "^1.70.0",
+        "sass-embedded": "^1.70.0",
+        "stylus": ">=0.54.8",
+        "sugarss": "^5.0.0",
+        "terser": "^5.16.0",
+        "tsx": "^4.8.1",
+        "yaml": "^2.4.2"
+      },
+      "peerDependenciesMeta": {
+        "@types/node": {
+          "optional": true
+        },
+        "@vitejs/devtools": {
+          "optional": true
+        },
+        "esbuild": {
+          "optional": true
+        },
+        "jiti": {
+          "optional": true
+        },
+        "less": {
+          "optional": true
+        },
+        "sass": {
+          "optional": true
+        },
+        "sass-embedded": {
+          "optional": true
+        },
+        "stylus": {
+          "optional": true
+        },
+        "sugarss": {
+          "optional": true
+        },
+        "terser": {
+          "optional": true
+        },
+        "tsx": {
+          "optional": true
+        },
+        "yaml": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/vite/node_modules/picomatch": {
+      "version": "4.0.4",
+      "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.4.tgz",
+      "integrity": "sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/jonschlinkert"
+      }
+    },
+    "node_modules/vitest": {
+      "version": "4.1.5",
+      "resolved": "https://registry.npmjs.org/vitest/-/vitest-4.1.5.tgz",
+      "integrity": "sha512-9Xx1v3/ih3m9hN+SbfkUyy0JAs72ap3r7joc87XL6jwF0jGg6mFBvQ1SrwaX+h8BlkX6Hz9shdd1uo6AF+ZGpg==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@vitest/expect": "4.1.5",
+        "@vitest/mocker": "4.1.5",
+        "@vitest/pretty-format": "4.1.5",
+        "@vitest/runner": "4.1.5",
+        "@vitest/snapshot": "4.1.5",
+        "@vitest/spy": "4.1.5",
+        "@vitest/utils": "4.1.5",
+        "es-module-lexer": "^2.0.0",
+        "expect-type": "^1.3.0",
+        "magic-string": "^0.30.21",
+        "obug": "^2.1.1",
+        "pathe": "^2.0.3",
+        "picomatch": "^4.0.3",
+        "std-env": "^4.0.0-rc.1",
+        "tinybench": "^2.9.0",
+        "tinyexec": "^1.0.2",
+        "tinyglobby": "^0.2.15",
+        "tinyrainbow": "^3.1.0",
+        "vite": "^6.0.0 || ^7.0.0 || ^8.0.0",
+        "why-is-node-running": "^2.3.0"
+      },
+      "bin": {
+        "vitest": "vitest.mjs"
+      },
+      "engines": {
+        "node": "^20.0.0 || ^22.0.0 || >=24.0.0"
+      },
+      "funding": {
+        "url": "https://opencollective.com/vitest"
+      },
+      "peerDependencies": {
+        "@edge-runtime/vm": "*",
+        "@opentelemetry/api": "^1.9.0",
+        "@types/node": "^20.0.0 || ^22.0.0 || >=24.0.0",
+        "@vitest/browser-playwright": "4.1.5",
+        "@vitest/browser-preview": "4.1.5",
+        "@vitest/browser-webdriverio": "4.1.5",
+        "@vitest/coverage-istanbul": "4.1.5",
+        "@vitest/coverage-v8": "4.1.5",
+        "@vitest/ui": "4.1.5",
+        "happy-dom": "*",
+        "jsdom": "*",
+        "vite": "^6.0.0 || ^7.0.0 || ^8.0.0"
+      },
+      "peerDependenciesMeta": {
+        "@edge-runtime/vm": {
+          "optional": true
+        },
+        "@opentelemetry/api": {
+          "optional": true
+        },
+        "@types/node": {
+          "optional": true
+        },
+        "@vitest/browser-playwright": {
+          "optional": true
+        },
+        "@vitest/browser-preview": {
+          "optional": true
+        },
+        "@vitest/browser-webdriverio": {
+          "optional": true
+        },
+        "@vitest/coverage-istanbul": {
+          "optional": true
+        },
+        "@vitest/coverage-v8": {
+          "optional": true
+        },
+        "@vitest/ui": {
+          "optional": true
+        },
+        "happy-dom": {
+          "optional": true
+        },
+        "jsdom": {
+          "optional": true
+        },
+        "vite": {
+          "optional": false
+        }
+      }
+    },
+    "node_modules/vitest/node_modules/picomatch": {
+      "version": "4.0.4",
+      "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.4.tgz",
+      "integrity": "sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/jonschlinkert"
+      }
+    },
     "node_modules/void-elements": {
       "version": "3.1.0",
       "resolved": "https://registry.npmjs.org/void-elements/-/void-elements-3.1.0.tgz",
@@ -14450,6 +16155,19 @@
         "pbf": "^3.2.1"
       }
     },
+    "node_modules/w3c-xmlserializer": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/w3c-xmlserializer/-/w3c-xmlserializer-5.0.0.tgz",
+      "integrity": "sha512-o8qghlI8NZHU1lLPrpi2+Uq7abh4GGPpYANlalzWxyWteJOCsr/P+oPBA49TOLu5FTZO4d3F9MnWJfiMo4BkmA==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "xml-name-validator": "^5.0.0"
+      },
+      "engines": {
+        "node": ">=18"
+      }
+    },
     "node_modules/watchpack": {
       "version": "2.5.1",
       "resolved": "https://registry.npmjs.org/watchpack/-/watchpack-2.5.1.tgz",
@@ -14480,6 +16198,16 @@
       "integrity": "sha512-U9VIlNRrq94d1xxR9JrCEAx5Gv/2W7ERSv8oWRoNe/QYbfccS0V3h/H6qeNeCRJxXGMhhnkqvwNrvPAYeuP9VA==",
       "dev": true
     },
+    "node_modules/webidl-conversions": {
+      "version": "8.0.1",
+      "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-8.0.1.tgz",
+      "integrity": "sha512-BMhLD/Sw+GbJC21C/UgyaZX41nPt8bUTg+jWyDeg7e7YN4xOM05YPSIXceACnXVtqyEw/LMClUQMtMZ+PGGpqQ==",
+      "dev": true,
+      "license": "BSD-2-Clause",
+      "engines": {
+        "node": ">=20"
+      }
+    },
     "node_modules/webpack": {
       "version": "5.104.1",
       "resolved": "https://registry.npmjs.org/webpack/-/webpack-5.104.1.tgz",
@@ -14756,6 +16484,49 @@
       "integrity": "sha512-BQWBIsOn411M+ffBxmA6QRLvAOVbuz3Uk4NusxnqC1H7aeQcVLhdA3k2k/EFFFtqVjhz3z7JOOZF1a9hj2tv4Q==",
       "license": "MIT"
     },
+    "node_modules/whatwg-mimetype": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/whatwg-mimetype/-/whatwg-mimetype-5.0.0.tgz",
+      "integrity": "sha512-sXcNcHOC51uPGF0P/D4NVtrkjSU2fNsm9iog4ZvZJsL3rjoDAzXZhkm2MWt1y+PUdggKAYVoMAIYcs78wJ51Cw==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=20"
+      }
+    },
+    "node_modules/whatwg-url": {
+      "version": "16.0.1",
+      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-16.0.1.tgz",
+      "integrity": "sha512-1to4zXBxmXHV3IiSSEInrreIlu02vUOvrhxJJH5vcxYTBDAx51cqZiKdyTxlecdKNSjj8EcxGBxNf6Vg+945gw==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@exodus/bytes": "^1.11.0",
+        "tr46": "^6.0.0",
+        "webidl-conversions": "^8.0.1"
+      },
+      "engines": {
+        "node": "^20.19.0 || ^22.12.0 || >=24.0.0"
+      }
+    },
+    "node_modules/whatwg-url/node_modules/@exodus/bytes": {
+      "version": "1.15.0",
+      "resolved": "https://registry.npmjs.org/@exodus/bytes/-/bytes-1.15.0.tgz",
+      "integrity": "sha512-UY0nlA+feH81UGSHv92sLEPLCeZFjXOuHhrIo0HQydScuQc8s0A7kL/UdgwgDq8g8ilksmuoF35YVTNphV2aBQ==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": "^20.19.0 || ^22.12.0 || >=24.0.0"
+      },
+      "peerDependencies": {
+        "@noble/hashes": "^1.8.0 || ^2.0.0"
+      },
+      "peerDependenciesMeta": {
+        "@noble/hashes": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/which": {
       "version": "4.0.0",
       "resolved": "https://registry.npmjs.org/which/-/which-4.0.0.tgz",
@@ -14867,6 +16638,23 @@
         "url": "https://github.com/sponsors/ljharb"
       }
     },
+    "node_modules/why-is-node-running": {
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/why-is-node-running/-/why-is-node-running-2.3.0.tgz",
+      "integrity": "sha512-hUrmaWBdVDcxvYqnyh09zunKzROWjbZTiNy8dBEjkS7ehEDQibXJ7XvlmtbwuTclUiIyN+CyXQD4Vmko8fNm8w==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "siginfo": "^2.0.0",
+        "stackback": "0.0.2"
+      },
+      "bin": {
+        "why-is-node-running": "cli.js"
+      },
+      "engines": {
+        "node": ">=8"
+      }
+    },
     "node_modules/wildcard": {
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/wildcard/-/wildcard-2.0.1.tgz",
@@ -14946,6 +16734,16 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/xml-name-validator": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/xml-name-validator/-/xml-name-validator-5.0.0.tgz",
+      "integrity": "sha512-EvGK8EJ3DhaHfbRlETOWAS5pO9MZITeauHKJyb8wyajUfQUenkIg2MvLDTZ4T/TgIcm3HU0TFBgWWboAZ30UHg==",
+      "dev": true,
+      "license": "Apache-2.0",
+      "engines": {
+        "node": ">=18"
+      }
+    },
     "node_modules/xml2js": {
       "version": "0.6.2",
       "resolved": "https://registry.npmjs.org/xml2js/-/xml2js-0.6.2.tgz",
@@ -14968,6 +16766,13 @@
         "node": ">=4.0"
       }
     },
+    "node_modules/xmlchars": {
+      "version": "2.2.0",
+      "resolved": "https://registry.npmjs.org/xmlchars/-/xmlchars-2.2.0.tgz",
+      "integrity": "sha512-JZnDKK8B0RCDw84FNdDAIpZK+JuJw+s7Lz8nksI7SIuU3UXJJslUthsi+uWBUYOwPFwW7W7PRLRfUKpxjtjFCw==",
+      "dev": true,
+      "license": "MIT"
+    },
     "node_modules/y18n": {
       "version": "5.0.8",
       "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz",
diff --git a/frontend/package.json b/frontend/package.json
index 9d04b54..0989539 100644
--- a/frontend/package.json
+++ b/frontend/package.json
@@ -6,6 +6,7 @@
     "build": "webpack --mode production && node scripts/prerender.mjs",
     "build:no-prerender": "webpack --mode production",
     "prerender": "node scripts/prerender.mjs",
+    "test": "vitest run --environment jsdom",
     "typecheck": "tsc --noEmit",
     "lint": "eslint src --ext .ts,.tsx",
     "lint:fix": "eslint src --ext .ts,.tsx --fix",
@@ -39,6 +40,7 @@
     "@babel/preset-react": "^7.28.5",
     "@babel/preset-typescript": "^7.28.5",
     "@pmmmwh/react-refresh-webpack-plugin": "^0.6.2",
+    "@testing-library/react": "^16.3.2",
     "@types/react": "^18.2.0",
     "@types/react-dom": "^18.2.0",
     "@typescript-eslint/eslint-plugin": "^7.0.0",
@@ -53,6 +55,7 @@
     "favicons": "^7.2.0",
     "favicons-webpack-plugin": "^6.0.1",
     "html-webpack-plugin": "^5.6.0",
+    "jsdom": "^29.1.1",
     "mini-css-extract-plugin": "^2.9.0",
     "postcss": "^8.4.0",
     "postcss-loader": "^8.0.0",
@@ -63,6 +66,7 @@
     "tailwindcss": "^3.4.0",
     "ts-loader": "^9.5.0",
     "typescript": "^5.4.0",
+    "vitest": "^4.1.5",
     "webpack": "^5.90.0",
     "webpack-cli": "^5.1.0",
     "webpack-dev-server": "^5.0.0"
diff --git a/frontend/src/components/map/AreaPane.tsx b/frontend/src/components/map/AreaPane.tsx
index cba4960..29d4959 100644
--- a/frontend/src/components/map/AreaPane.tsx
+++ b/frontend/src/components/map/AreaPane.tsx
@@ -9,16 +9,21 @@ import type {
 } from '../../types';
 import type { TravelTimeEntry } from '../../hooks/useTravelTime';
 import type { HexagonLocation } from '../../lib/external-search';
-import { formatValue, formatFilterValue, calculateHistogramMean } from '../../lib/format';
+import {
+  formatValue,
+  formatFilterValue,
+  calculateHistogramMean,
+  roundedPercentages,
+} from '../../lib/format';
 import { groupFeaturesByCategory } from '../../lib/features';
-import { STACKED_GROUPS, STACKED_ENUM_GROUPS } from '../../lib/consts';
+import { PARTY_FEATURE_COLORS, STACKED_GROUPS, STACKED_ENUM_GROUPS } from '../../lib/consts';
 import { DualHistogram, LoadingSkeleton } from './DualHistogram';
 import EnumBarChart from './EnumBarChart';
 import StackedBarChart from './StackedBarChart';
 import StackedEnumChart from './StackedEnumChart';
 import PriceHistoryChart from './PriceHistoryChart';
 import ExternalSearchLinks from './ExternalSearchLinks';
-import { InfoIcon } from '../ui/icons';
+import { FilterIcon, InfoIcon } from '../ui/icons';
 import { CollapsibleGroupHeader } from '../ui/CollapsibleGroupHeader';
 import { FeatureInfoPopup } from '../ui/FeatureInfoPopup';
 import { EmptyState } from '../ui/EmptyState';
@@ -35,14 +40,26 @@ interface AreaPaneProps {
   isPostcode?: boolean;
   postcodeData?: PostcodeFeature | null;
   onViewProperties: () => void;
+  onClearFilters?: () => void;
   hexagonLocation: HexagonLocation | null;
   filters: FeatureFilters;
+  unfilteredCount?: number | null;
   onNavigateToSource?: (slug: string, featureName: string) => void;
   travelTimeEntries?: TravelTimeEntry[];
   isGroupExpanded: (name: string) => boolean;
   onToggleGroup: (name: string) => void;
 }
 
+function normalizePercentageSegments<T extends { value: number }>(segments: T[]): T[] {
+  const total = segments.reduce((sum, segment) => sum + segment.value, 0);
+  const normalizedValues = roundedPercentages(
+    segments.map((segment) => segment.value),
+    total,
+    1
+  );
+  return segments.map((segment, index) => ({ ...segment, value: normalizedValues[index] }));
+}
+
 export default function AreaPane({
   stats,
   globalFeatures,
@@ -51,8 +68,10 @@ export default function AreaPane({
   isPostcode = false,
   postcodeData,
   onViewProperties,
+  onClearFilters,
   hexagonLocation,
   filters,
+  unfilteredCount,
   onNavigateToSource,
   travelTimeEntries,
   isGroupExpanded,
@@ -60,6 +79,8 @@ export default function AreaPane({
 }: AreaPaneProps) {
   const { t } = useTranslation();
   const propertyCount = isPostcode && postcodeData ? postcodeData.properties.count : stats?.count;
+  const activeFilterCount = Object.keys(filters).length + (travelTimeEntries?.length ?? 0);
+  const hasFilteredOutArea = activeFilterCount > 0 && stats?.count === 0;
   const featureGroups = useMemo(() => groupFeaturesByCategory(globalFeatures), [globalFeatures]);
   const [infoFeature, setInfoFeature] = useState<FeatureMeta | null>(null);
 
@@ -119,8 +140,36 @@ export default function AreaPane({
                 ? t('common.postcode').toLowerCase()
                 : t('common.area').toLowerCase(),
             })}
-            {Object.keys(filters).length > 0 ? t('areaPane.matchingFilters') : ''}
           </p>
+          <div className="mt-2 flex gap-2 rounded border border-teal-200 bg-teal-50 px-2.5 py-2 text-xs leading-snug text-teal-800 dark:border-teal-800/70 dark:bg-teal-950/40 dark:text-teal-200">
+            <FilterIcon className="mt-0.5 h-3.5 w-3.5 shrink-0" />
+            <p>
+              {activeFilterCount > 0
+                ? t('areaPane.filtersAffectStats', { count: activeFilterCount })
+                : t('areaPane.noFiltersAffectStats')}
+            </p>
+          </div>
+          {hasFilteredOutArea && (
+            <div className="mt-2 rounded border border-amber-200 bg-amber-50 px-2.5 py-2 text-xs leading-snug text-amber-900 dark:border-amber-800/70 dark:bg-amber-950/40 dark:text-amber-100">
+              <p className="font-semibold">{t('areaPane.noFilteredMatches')}</p>
+              <p className="mt-1">
+                {unfilteredCount != null && unfilteredCount > 0
+                  ? t('areaPane.unfilteredAreaCount', { count: unfilteredCount })
+                  : unfilteredCount === 0
+                    ? t('areaPane.noUnfilteredAreaProperties')
+                    : t('areaPane.relaxFiltersHint')}
+              </p>
+              {onClearFilters && (
+                <button
+                  type="button"
+                  onClick={onClearFilters}
+                  className="mt-2 rounded bg-amber-600 px-2 py-1 text-xs font-medium text-white hover:bg-amber-700 dark:bg-amber-500 dark:text-amber-950 dark:hover:bg-amber-400"
+                >
+                  {t('filters.clearAll')}
+                </button>
+              )}
+            </div>
+          )}
           {stats && stats.count > 0 && (
             <button
               onClick={onViewProperties}
@@ -149,7 +198,7 @@ export default function AreaPane({
         ) : stats ? (
           <div>
             {hexagonLocation && <StreetViewEmbed location={hexagonLocation} />}
-            <HistogramLegend />
+            {stats.count > 0 && <HistogramLegend />}
             {stats.price_history &&
               (() => {
                 const uniqueYears = new Set(stats.price_history.map((p) => Math.floor(p.year)));
@@ -190,148 +239,170 @@ export default function AreaPane({
                   {expanded && (
                     <div className="px-3 py-2 space-y-3">
                       {stackedCharts?.map((chart) => {
-                            const segments = chart.components
-                              .map((name) => ({
-                                name,
-                                value: numericByName.get(name)?.mean ?? 0,
-                              }))
-                              .filter((s) => s.value > 0);
+                        const segments = chart.components
+                          .map((name) => ({
+                            name,
+                            value: numericByName.get(name)?.mean ?? 0,
+                          }))
+                          .filter((s) => s.value > 0);
 
-                            const aggregateStats = chart.feature
-                              ? numericByName.get(chart.feature)
-                              : undefined;
-                            const total = aggregateStats
-                              ? aggregateStats.mean
-                              : segments.reduce((sum, s) => sum + s.value, 0);
+                        const isPercentageComposition = chart.unit === '%' && !chart.feature;
+                        const displaySegments = isPercentageComposition
+                          ? normalizePercentageSegments(segments)
+                          : segments;
 
-                            // Use rateFeature (e.g. per-1k) for display if available
-                            const rateStats = chart.rateFeature
-                              ? numericByName.get(chart.rateFeature)
-                              : undefined;
-                            const displayValue = rateStats ? rateStats.mean : total;
+                        const aggregateStats = chart.feature
+                          ? numericByName.get(chart.feature)
+                          : undefined;
+                        const total = aggregateStats
+                          ? aggregateStats.mean
+                          : displaySegments.reduce((sum, s) => sum + s.value, 0);
 
-                            // Use rateFeature for info popup and national average when available
-                            const infoFeatureName = chart.rateFeature ?? chart.feature;
-                            const featureMeta = infoFeatureName
-                              ? globalFeatureByName.get(infoFeatureName)
-                              : undefined;
+                        // Use rateFeature (e.g. per-1k) for display if available
+                        const rateStats = chart.rateFeature
+                          ? numericByName.get(chart.rateFeature)
+                          : undefined;
+                        const displayValue = isPercentageComposition
+                          ? 100
+                          : rateStats
+                            ? rateStats.mean
+                            : total;
 
-                            const globalMean =
-                              featureMeta?.histogram
-                                ? calculateHistogramMean(featureMeta.histogram)
-                                : undefined;
+                        // Use rateFeature for info popup and national average when available
+                        const infoFeatureName = chart.rateFeature ?? chart.feature;
+                        const featureMeta = infoFeatureName
+                          ? globalFeatureByName.get(infoFeatureName)
+                          : undefined;
 
-                            if (total === 0) return null;
+                        const globalMean = featureMeta?.histogram
+                          ? calculateHistogramMean(featureMeta.histogram)
+                          : undefined;
 
-                            return (
-                              <div
-                                key={ts(chart.label)}
-                                className="bg-warm-50 dark:bg-warm-800 rounded p-2"
-                              >
-                                <div className="flex justify-between items-baseline mb-1.5">
-                                  {featureMeta ? (
-                                    <FeatureLabel
-                                      feature={{ ...featureMeta, name: ts(chart.label) }}
-                                      onShowInfo={setInfoFeature}
-                                      className="mr-2"
-                                    />
-                                  ) : (
-                                    <span className="text-xs text-warm-700 dark:text-warm-300 truncate mr-2">
-                                      {ts(chart.label)}
-                                    </span>
-                                  )}
-                                  <div className="text-right shrink-0">
-                                    <span className="text-xs font-semibold text-teal-700 dark:text-teal-400 whitespace-nowrap">
-                                      {formatValue(displayValue)}
-                                      {chart.unit ? ` ${chart.unit}` : ''}
-                                    </span>
-                                    {globalMean != null && (
-                                      <div className="text-[10px] text-warm-400 dark:text-warm-500 whitespace-nowrap">
-                                        {t('areaPane.nationalAvg')}: {formatValue(globalMean)}
-                                      </div>
-                                    )}
+                        if (total === 0) return null;
+
+                        return (
+                          <div
+                            key={ts(chart.label)}
+                            className="bg-warm-50 dark:bg-warm-800 rounded p-2"
+                          >
+                            <div className="flex justify-between items-baseline mb-1.5">
+                              {featureMeta ? (
+                                <FeatureLabel
+                                  feature={{ ...featureMeta, name: ts(chart.label) }}
+                                  onShowInfo={setInfoFeature}
+                                  className="mr-2"
+                                />
+                              ) : (
+                                <span className="text-xs text-warm-700 dark:text-warm-300 truncate mr-2">
+                                  {ts(chart.label)}
+                                </span>
+                              )}
+                              <div className="text-right shrink-0">
+                                <span className="text-xs font-semibold text-teal-700 dark:text-teal-400 whitespace-nowrap">
+                                  {formatValue(displayValue)}
+                                  {chart.unit ? ` ${chart.unit}` : ''}
+                                </span>
+                                {globalMean != null && (
+                                  <div className="text-[10px] text-warm-400 dark:text-warm-500 whitespace-nowrap">
+                                    {t('areaPane.nationalAvg')}: {formatValue(globalMean)}
                                   </div>
-                                </div>
-                                <StackedBarChart segments={segments} total={total} />
+                                )}
                               </div>
-                            );
-                          })}
+                            </div>
+                            <StackedBarChart
+                              segments={displaySegments}
+                              total={total}
+                              colorMap={
+                                chart.label === 'Political vote share'
+                                  ? PARTY_FEATURE_COLORS
+                                  : undefined
+                              }
+                            />
+                          </div>
+                        );
+                      })}
                       {(() => {
                         const stackedFeatureNames = new Set<string>(
                           stackedCharts?.flatMap((c) =>
-                            [c.feature, c.rateFeature, ...c.components].filter((s): s is string => Boolean(s))
+                            [c.feature, c.rateFeature, ...c.components].filter((s): s is string =>
+                              Boolean(s)
+                            )
                           ) ?? []
                         );
                         return group.features
-                            .filter((f) => !stackedFeatureNames.has(f.name) && !stackedEnumFeatureNames.has(f.name))
-                            .map((feature) => {
-                              const numericStats = numericByName.get(feature.name);
-                              const enumStats = enumByName.get(feature.name);
+                          .filter(
+                            (f) =>
+                              !stackedFeatureNames.has(f.name) &&
+                              !stackedEnumFeatureNames.has(f.name)
+                          )
+                          .map((feature) => {
+                            const numericStats = numericByName.get(feature.name);
+                            const enumStats = enumByName.get(feature.name);
 
-                              if (numericStats) {
-                                const globalFeature = globalFeatureByName.get(feature.name);
-                                const globalHistogram = globalFeature?.histogram;
-                                const globalMean = globalHistogram
-                                  ? calculateHistogramMean(globalHistogram)
-                                  : undefined;
+                            if (numericStats) {
+                              const globalFeature = globalFeatureByName.get(feature.name);
+                              const globalHistogram = globalFeature?.histogram;
+                              const globalMean = globalHistogram
+                                ? calculateHistogramMean(globalHistogram)
+                                : undefined;
 
-                                return (
-                                  <div
-                                    key={feature.name}
-                                    className="bg-warm-50 dark:bg-warm-800 rounded p-2"
-                                  >
-                                    <div className="flex justify-between items-baseline">
-                                      <FeatureLabel
-                                        feature={feature}
-                                        onShowInfo={setInfoFeature}
-                                        className="mr-2"
-                                      />
-                                      <span className="text-xs font-semibold text-teal-700 dark:text-teal-400 whitespace-nowrap">
-                                        {formatValue(numericStats.mean, feature)}
-                                      </span>
-                                    </div>
-                                    {numericStats.histogram &&
-                                      (globalHistogram ? (
-                                        <DualHistogram
-                                          localCounts={numericStats.histogram.counts}
-                                          globalCounts={globalHistogram.counts}
-                                          p1={numericStats.histogram.p1}
-                                          p99={numericStats.histogram.p99}
-                                          globalMean={globalMean}
-                                          formatLabel={(v) => formatFilterValue(v, feature.raw)}
-                                        />
-                                      ) : (
-                                        <DualHistogram
-                                          localCounts={numericStats.histogram.counts}
-                                          globalCounts={numericStats.histogram.counts}
-                                          p1={numericStats.histogram.p1}
-                                          p99={numericStats.histogram.p99}
-                                          formatLabel={(v) => formatFilterValue(v, feature.raw)}
-                                        />
-                                      ))}
-                                  </div>
-                                );
-                              }
-
-                              if (enumStats) {
-                                const globalFeature = globalFeatureByName.get(feature.name);
-                                return (
-                                  <div
-                                    key={feature.name}
-                                    className="bg-warm-50 dark:bg-warm-800 rounded p-2"
-                                  >
-                                    <FeatureLabel feature={feature} onShowInfo={setInfoFeature} />
-                                    <EnumBarChart
-                                      counts={enumStats.counts}
-                                      globalCounts={globalFeature?.counts}
-                                      featureName={feature.name}
+                              return (
+                                <div
+                                  key={feature.name}
+                                  className="bg-warm-50 dark:bg-warm-800 rounded p-2"
+                                >
+                                  <div className="flex justify-between items-baseline">
+                                    <FeatureLabel
+                                      feature={feature}
+                                      onShowInfo={setInfoFeature}
+                                      className="mr-2"
                                     />
+                                    <span className="text-xs font-semibold text-teal-700 dark:text-teal-400 whitespace-nowrap">
+                                      {formatValue(numericStats.mean, feature)}
+                                    </span>
                                   </div>
-                                );
-                              }
+                                  {numericStats.histogram &&
+                                    (globalHistogram ? (
+                                      <DualHistogram
+                                        localCounts={numericStats.histogram.counts}
+                                        globalCounts={globalHistogram.counts}
+                                        p1={numericStats.histogram.p1}
+                                        p99={numericStats.histogram.p99}
+                                        globalMean={globalMean}
+                                        formatLabel={(v) => formatFilterValue(v, feature.raw)}
+                                      />
+                                    ) : (
+                                      <DualHistogram
+                                        localCounts={numericStats.histogram.counts}
+                                        globalCounts={numericStats.histogram.counts}
+                                        p1={numericStats.histogram.p1}
+                                        p99={numericStats.histogram.p99}
+                                        formatLabel={(v) => formatFilterValue(v, feature.raw)}
+                                      />
+                                    ))}
+                                </div>
+                              );
+                            }
 
-                              return null;
-                            });
+                            if (enumStats) {
+                              const globalFeature = globalFeatureByName.get(feature.name);
+                              return (
+                                <div
+                                  key={feature.name}
+                                  className="bg-warm-50 dark:bg-warm-800 rounded p-2"
+                                >
+                                  <FeatureLabel feature={feature} onShowInfo={setInfoFeature} />
+                                  <EnumBarChart
+                                    counts={enumStats.counts}
+                                    globalCounts={globalFeature?.counts}
+                                    featureName={feature.name}
+                                  />
+                                </div>
+                              );
+                            }
+
+                            return null;
+                          });
                       })()}
                       {stackedEnumCharts?.map((chart) => {
                         const featureMeta = chart.feature
diff --git a/frontend/src/components/map/Filters.tsx b/frontend/src/components/map/Filters.tsx
index d168f5f..c0f5348 100644
--- a/frontend/src/components/map/Filters.tsx
+++ b/frontend/src/components/map/Filters.tsx
@@ -604,6 +604,7 @@ export default memo(function Filters({
                         <FeatureActions
                           feature={feature}
                           isPinned={isPinned}
+                          isPreviewing={isActive}
                           onTogglePin={onTogglePin}
                           onShowInfo={setActiveInfoFeature}
                           onRemove={onRemoveFilter}
diff --git a/frontend/src/components/map/LocationSearch.tsx b/frontend/src/components/map/LocationSearch.tsx
index cd2b176..0d9bf88 100644
--- a/frontend/src/components/map/LocationSearch.tsx
+++ b/frontend/src/components/map/LocationSearch.tsx
@@ -34,10 +34,12 @@ const ZOOM_FOR_TYPE: Record<string, number> = {
 export default function LocationSearch({
   onFlyTo,
   onLocationSearched,
+  onCurrentLocationFound,
   onMouseEnter,
 }: {
   onFlyTo: (lat: number, lng: number, zoom: number) => void;
   onLocationSearched?: (postcode: SearchedLocation | null) => void;
+  onCurrentLocationFound?: (lat: number, lng: number) => void;
   onMouseEnter?: () => void;
 }) {
   const { t } = useTranslation();
@@ -131,27 +133,8 @@ export default function LocationSearch({
         });
       });
       const { latitude, longitude } = position.coords;
-      const res = await fetch(
-        `/api/nearest-postcode?lat=${latitude}&lng=${longitude}`,
-        authHeaders()
-      );
-      if (!res.ok) {
-        setError(t('locationSearch.lookupFailed'));
-        return;
-      }
-      const json: {
-        postcode: string;
-        latitude: number;
-        longitude: number;
-        geometry: PostcodeGeometry;
-      } = await res.json();
-      onFlyTo(json.latitude, json.longitude, 16);
-      onLocationSearched?.({
-        postcode: json.postcode,
-        geometry: json.geometry,
-        latitude: json.latitude,
-        longitude: json.longitude,
-      });
+      onFlyTo(latitude, longitude, 17);
+      onCurrentLocationFound?.(latitude, longitude);
       search.clear();
       if (isMobile) setExpanded(false);
     } catch {
@@ -159,7 +142,7 @@ export default function LocationSearch({
     } finally {
       setLocating(false);
     }
-  }, [onFlyTo, onLocationSearched, isMobile, search, t]);
+  }, [onFlyTo, onCurrentLocationFound, isMobile, search, t]);
 
   // Mobile collapsed state: search icon + locate button
   if (isMobile && !expanded) {
diff --git a/frontend/src/components/map/Map.tsx b/frontend/src/components/map/Map.tsx
index e3e9fa5..33ae908 100644
--- a/frontend/src/components/map/Map.tsx
+++ b/frontend/src/components/map/Map.tsx
@@ -56,6 +56,8 @@ interface MapProps {
   filters?: FeatureFilters;
   selectedPostcodeGeometry?: PostcodeGeometry | null;
   onLocationSearched?: (location: SearchedLocation | null) => void;
+  onCurrentLocationFound?: (lat: number, lng: number) => void;
+  currentLocation?: { lat: number; lng: number } | null;
   bounds?: Bounds | null;
   hideLegend?: boolean;
   travelTimeEntries?: TravelTimeEntry[];
@@ -114,6 +116,8 @@ export default memo(function Map({
   filters = {},
   selectedPostcodeGeometry,
   onLocationSearched,
+  onCurrentLocationFound,
+  currentLocation,
   bounds: viewportBounds,
   hideLegend = false,
   travelTimeEntries = EMPTY_TRAVEL_ENTRIES,
@@ -225,6 +229,7 @@ export default memo(function Map({
     onHexagonHover,
     theme,
     selectedPostcodeGeometry,
+    currentLocation,
     bounds: viewportBounds,
     travelTimeEntries,
   });
@@ -307,6 +312,7 @@ export default memo(function Map({
             <LocationSearch
               onFlyTo={handleFlyTo}
               onLocationSearched={onLocationSearched}
+              onCurrentLocationFound={onCurrentLocationFound}
               onMouseEnter={handleMouseLeave}
             />
             {!hideLegend &&
diff --git a/frontend/src/components/map/MapLegend.tsx b/frontend/src/components/map/MapLegend.tsx
index 170b7cf..e037e44 100644
--- a/frontend/src/components/map/MapLegend.tsx
+++ b/frontend/src/components/map/MapLegend.tsx
@@ -2,10 +2,10 @@ import { useTranslation } from 'react-i18next';
 import { formatValue } from '../../lib/format';
 import { ts } from '../../i18n/server';
 import {
-  FEATURE_GRADIENT,
   DENSITY_GRADIENT,
   DENSITY_GRADIENT_DARK,
   getEnumPaletteForFeature,
+  getFeatureGradient,
 } from '../../lib/consts';
 import { gradientToCss } from '../../lib/utils';
 import { CloseIcon } from '../ui/icons/CloseIcon';
@@ -95,7 +95,9 @@ export default function MapLegend({
   const enumPalette = getEnumPaletteForFeature(featureName ?? null, enumValues);
   const densityGradient = theme === 'dark' ? DENSITY_GRADIENT_DARK : DENSITY_GRADIENT;
   const gradientStyle =
-    mode === 'density' ? gradientToCss(densityGradient) : gradientToCss(FEATURE_GRADIENT);
+    mode === 'density'
+      ? gradientToCss(densityGradient)
+      : gradientToCss(getFeatureGradient(featureName));
 
   const fmt = raw ? { raw: true } : undefined;
 
diff --git a/frontend/src/components/map/MapPage.tsx b/frontend/src/components/map/MapPage.tsx
index afedb0b..50ebc04 100644
--- a/frontend/src/components/map/MapPage.tsx
+++ b/frontend/src/components/map/MapPage.tsx
@@ -1,5 +1,6 @@
 import { useState, useEffect, useMemo, useCallback, useRef } from 'react';
 import { useTranslation } from 'react-i18next';
+import { cellToLatLng } from 'h3-js';
 import type {
   FeatureMeta,
   FeatureFilters,
@@ -17,7 +18,7 @@ import { PropertiesPane } from './PropertiesPane';
 import AreaPane from './AreaPane';
 import MobileDrawer from './MobileDrawer';
 import MapLegend from './MapLegend';
-import { TabButton } from '../ui/TabButton';
+import { MapPageSelectionPane } from './MapPageSelectionPane';
 import { useMapData } from '../../hooks/useMapData';
 import { usePOIData } from '../../hooks/usePOIData';
 import { useFilters } from '../../hooks/useFilters';
@@ -42,7 +43,6 @@ import { trackEvent } from '../../lib/analytics';
 import { INITIAL_VIEW_STATE } from '../../lib/consts';
 import { useLicense } from '../../hooks/useLicense';
 import UpgradeModal from '../ui/UpgradeModal';
-import { CloseIcon } from '../ui/icons/CloseIcon';
 import { SpinnerIcon } from '../ui/icons/SpinnerIcon';
 import { MapPinIcon } from '../ui/icons/MapPinIcon';
 import { BookmarkIcon } from '../ui/icons/BookmarkIcon';
@@ -125,6 +125,7 @@ export default function MapPage({
 
   const [mobileDrawerOpen, setMobileDrawerOpen] = useState(false);
   const [poiPaneOpen, setPoiPaneOpen] = useState(false);
+  const [currentLocation, setCurrentLocation] = useState<{ lat: number; lng: number } | null>(null);
 
   const [showBookmarkToast, setShowBookmarkToast] = useState(false);
   const bookmarkToastDismissed = useRef(localStorage.getItem('bookmark_toast_dismissed') === '1');
@@ -249,7 +250,14 @@ export default function MapPage({
         }
       }
     },
-    [fetchAiFilters, handleSetFilters, handleSetEntries, activeEntries, filters, mapData.currentView?.zoom]
+    [
+      fetchAiFilters,
+      handleSetFilters,
+      handleSetEntries,
+      activeEntries,
+      filters,
+      mapData.currentView?.zoom,
+    ]
   );
 
   const handleClearAll = useCallback(() => {
@@ -304,6 +312,7 @@ export default function MapPage({
     loadingProperties,
     areaStats,
     loadingAreaStats,
+    unfilteredAreaCount,
     hoveredHexagon,
     rightPaneTab,
     setRightPaneTab,
@@ -315,25 +324,38 @@ export default function MapPage({
     handleCloseSelection,
     selectedPostcodeGeometry,
     handleLocationSearch,
+    handleCurrentLocationSearch,
   } = useHexagonSelection({
     filters,
     features,
     resolution: mapData.resolution,
+    usePostcodeView: mapData.usePostcodeView,
     journeyDest,
   });
 
   const handleLocationSearchResult = useCallback(
     (result: SearchedLocation | null) => {
       if (result) {
+        setCurrentLocation(null);
         handleLocationSearch(result.postcode, result.geometry, result.latitude, result.longitude);
         if (isMobile) setMobileDrawerOpen(true);
       } else {
+        setCurrentLocation(null);
         handleCloseSelection();
       }
     },
     [handleLocationSearch, handleCloseSelection, isMobile]
   );
 
+  const handleCurrentLocationFound = useCallback(
+    (lat: number, lng: number) => {
+      setCurrentLocation({ lat, lng });
+      handleCurrentLocationSearch(lat, lng);
+      if (isMobile) setMobileDrawerOpen(true);
+    },
+    [handleCurrentLocationSearch, isMobile]
+  );
+
   const handleZoomToFreeZone = useCallback(() => {
     mapFlyToRef.current?.(
       INITIAL_VIEW_STATE.latitude,
@@ -428,20 +450,19 @@ export default function MapPage({
       const [lon, lat] = postcodeFeature.properties.centroid;
       return { lat, lon, resolution: mapData.resolution, postcode: hexId, isPostcode: true };
     } else {
-      // For hexagons, get lat/lon from hexagon data; central postcode comes from stats
-      const hex = hexId ? mapData.data.find((d) => d.h3 === hexId) : null;
-      if (!hex || typeof hex.lat !== 'number' || typeof hex.lon !== 'number') return null;
+      if (!hexId) return null;
+      const [lat, lon] = cellToLatLng(hexId);
       return {
-        lat: hex.lat as number,
-        lon: hex.lon as number,
-        resolution: mapData.resolution,
+        lat,
+        lon,
+        resolution: selectedHexagon?.resolution ?? mapData.resolution,
         postcode: areaStats?.central_postcode,
       };
     }
   }, [
     selectedHexagon?.id,
+    selectedHexagon?.resolution,
     selectedHexagon?.type,
-    mapData.data,
     mapData.postcodeData,
     mapData.resolution,
     areaStats?.central_postcode,
@@ -487,6 +508,7 @@ export default function MapPage({
   }, [mapData.licenseRequired]);
 
   const densityLabel = t('mapLegend.historicalMatches');
+  const hasActiveFilters = Object.keys(filters).length > 0 || activeEntries.length > 0;
 
   const mobileLegendMeta = useMemo(
     () => (viewFeature ? features.find((f) => f.name === viewFeature) || null : null),
@@ -607,8 +629,10 @@ export default function MapPage({
           : null
       }
       onViewProperties={handleViewPropertiesFromArea}
+      onClearFilters={hasActiveFilters ? handleClearAll : undefined}
       hexagonLocation={hexagonLocation}
       filters={filters}
+      unfilteredCount={unfilteredAreaCount}
       travelTimeEntries={activeEntries}
       isGroupExpanded={isAreaGroupExpanded}
       onToggleGroup={toggleAreaGroup}
@@ -695,10 +719,7 @@ export default function MapPage({
           </div>
         )}
 
-        <div
-          ref={mobileMapRef}
-          className="relative overflow-hidden"
-        >
+        <div ref={mobileMapRef} className="relative overflow-hidden">
           <Map
             data={mapData.data}
             postcodeData={mapData.postcodeData}
@@ -721,6 +742,8 @@ export default function MapPage({
             filters={filters}
             selectedPostcodeGeometry={selectedPostcodeGeometry}
             onLocationSearched={handleLocationSearchResult}
+            onCurrentLocationFound={handleCurrentLocationFound}
+            currentLocation={currentLocation}
             bounds={mapData.bounds}
             hideLegend
             travelTimeEntries={entries}
@@ -907,10 +930,12 @@ export default function MapPage({
           filters={filters}
           selectedPostcodeGeometry={selectedPostcodeGeometry}
           onLocationSearched={handleLocationSearchResult}
+          onCurrentLocationFound={handleCurrentLocationFound}
+          currentLocation={currentLocation}
           bounds={mapData.bounds}
           travelTimeEntries={entries}
           densityLabel={densityLabel}
-          totalCount={filterCounts.total || undefined}
+          totalCount={hasActiveFilters ? filterCounts.total : undefined}
         />
         {mapData.loading && (
           <div className="absolute inset-0 flex items-center justify-center pointer-events-none">
@@ -940,47 +965,16 @@ export default function MapPage({
       </div>
 
       {selectedHexagon && (
-        <div
-          data-tutorial="right-pane"
-          className="flex bg-white dark:bg-navy-950 shadow-lg z-10"
-          style={{ width: rightPaneWidth }}
-        >
-          <div
-            className="w-3 cursor-col-resize flex items-center justify-center group bg-warm-100 dark:bg-navy-800 hover:bg-warm-200 dark:hover:bg-navy-700 border-x border-warm-200 dark:border-navy-700"
-            {...rightPaneHandlers}
-          >
-            <div className="flex flex-col gap-1.5">
-              <div className="w-1 h-1 rounded-full bg-warm-300 dark:bg-navy-600 group-hover:bg-warm-400 dark:group-hover:bg-navy-500" />
-              <div className="w-1 h-1 rounded-full bg-warm-300 dark:bg-navy-600 group-hover:bg-warm-400 dark:group-hover:bg-navy-500" />
-              <div className="w-1 h-1 rounded-full bg-warm-300 dark:bg-navy-600 group-hover:bg-warm-400 dark:group-hover:bg-navy-500" />
-            </div>
-          </div>
-          <div className="flex-1 flex flex-col overflow-hidden">
-            <div className="flex border-b border-warm-200 dark:border-navy-700 text-sm">
-              <TabButton
-                label="Area"
-                isActive={rightPaneTab === 'area'}
-                onClick={() => setRightPaneTab('area')}
-              />
-              <TabButton
-                label="Properties"
-                isActive={rightPaneTab === 'properties'}
-                onClick={handlePropertiesTabClick}
-              />
-              <button
-                onClick={handleCloseSelection}
-                className="px-2 flex items-center text-warm-400 hover:text-warm-700 dark:hover:text-warm-300"
-                title="Close pane"
-              >
-                <CloseIcon className="w-4 h-4" />
-              </button>
-            </div>
-
-            <div className="flex-1 overflow-hidden">
-              {rightPaneTab === 'properties' ? renderPropertiesPane() : renderAreaPane()}
-            </div>
-          </div>
-        </div>
+        <MapPageSelectionPane
+          width={rightPaneWidth}
+          resizeHandlers={rightPaneHandlers}
+          tab={rightPaneTab}
+          onAreaTabClick={() => setRightPaneTab('area')}
+          onPropertiesTabClick={handlePropertiesTabClick}
+          onClose={handleCloseSelection}
+          renderAreaPane={renderAreaPane}
+          renderPropertiesPane={renderPropertiesPane}
+        />
       )}
 
       {bookmarkToast}
diff --git a/frontend/src/components/map/TravelTimeCard.tsx b/frontend/src/components/map/TravelTimeCard.tsx
index 79aed0c..36d9d2d 100644
--- a/frontend/src/components/map/TravelTimeCard.tsx
+++ b/frontend/src/components/map/TravelTimeCard.tsx
@@ -90,10 +90,10 @@ export function TravelTimeCard({
           {slug && (
             <IconButton
               onClick={onTogglePin}
-              active={isPinned}
+              active={isPinned || isActive}
               title={isPinned ? t('travel.stopPreviewing') : t('travel.previewOnMap')}
             >
-              <EyeIcon className="w-3.5 h-3.5" filled={isPinned} />
+              <EyeIcon className="w-3.5 h-3.5" filled={isPinned || isActive} />
             </IconButton>
           )}
           <IconButton onClick={() => onRemove()} title={t('travel.removeTravelTime')}>
diff --git a/frontend/src/components/ui/FeatureIcons.tsx b/frontend/src/components/ui/FeatureIcons.tsx
index f07fbb0..2cac2dc 100644
--- a/frontend/src/components/ui/FeatureIcons.tsx
+++ b/frontend/src/components/ui/FeatureIcons.tsx
@@ -5,6 +5,7 @@ import { IconButton } from './IconButton';
 interface FeatureActionsProps {
   feature: FeatureMeta;
   isPinned: boolean;
+  isPreviewing?: boolean;
   onTogglePin: (name: string) => void;
   onShowInfo?: (feature: FeatureMeta) => void;
   onRemove?: (name: string) => void;
@@ -14,11 +15,14 @@ interface FeatureActionsProps {
 export function FeatureActions({
   feature,
   isPinned,
+  isPreviewing = false,
   onTogglePin,
   onShowInfo,
   onRemove,
   onAdd,
 }: FeatureActionsProps) {
+  const isEyeActive = isPinned || isPreviewing;
+
   return (
     <div className="flex items-center gap-0.5 shrink-0">
       {feature.detail && onShowInfo && (
@@ -29,10 +33,10 @@ export function FeatureActions({
       <IconButton
         onClick={() => onTogglePin(feature.name)}
         title={isPinned ? 'Unpin colour view' : 'Colour map by this feature'}
-        active={isPinned}
+        active={isEyeActive}
         size="md"
       >
-        <EyeIcon filled={isPinned} className="w-5 h-5 md:w-3.5 md:h-3.5" />
+        <EyeIcon filled={isEyeActive} className="w-5 h-5 md:w-3.5 md:h-3.5" />
       </IconButton>
       {onAdd && (
         <button
diff --git a/frontend/src/hooks/useDeckLayers.ts b/frontend/src/hooks/useDeckLayers.ts
index be7bc10..181b38b 100644
--- a/frontend/src/hooks/useDeckLayers.ts
+++ b/frontend/src/hooks/useDeckLayers.ts
@@ -1,8 +1,7 @@
 import { useCallback, useRef, useState, useMemo, useEffect } from 'react';
 import { H3HexagonLayer } from '@deck.gl/geo-layers';
-import { GeoJsonLayer, IconLayer, TextLayer, ScatterplotLayer } from '@deck.gl/layers';
+import { GeoJsonLayer, TextLayer, ScatterplotLayer } from '@deck.gl/layers';
 import { cellToBoundary } from 'h3-js';
-import Supercluster from 'supercluster';
 import type { PickingInfo } from '@deck.gl/core';
 import type {
   HexagonData,
@@ -16,16 +15,12 @@ import type {
 import {
   DENSITY_GRADIENT,
   DENSITY_GRADIENT_DARK,
-  POI_GROUP_COLORS,
-  POI_DEFAULT_COLOR,
-  MINOR_POI_CATEGORIES,
-  MINOR_POI_ZOOM_THRESHOLD,
-  POI_CLUSTER_RADIUS,
-  POI_CLUSTER_MAX_ZOOM,
   getEnumPaletteForFeature,
+  getFeatureGradient,
 } from '../lib/consts';
-import { emojiToTwemojiUrl, getFeatureFillColor } from '../lib/map-utils';
+import { getFeatureFillColor } from '../lib/map-utils';
 import type { TravelTimeEntry } from './useTravelTime';
+import { usePoiLayers } from './usePoiLayers';
 import { MarchingAntsExtension } from '../lib/MarchingAntsExtension';
 import { PieHexExtension } from '../lib/PieHexExtension';
 
@@ -45,29 +40,11 @@ interface UseDeckLayersProps {
   onHexagonHover: (h3: string | null, x?: number, y?: number) => void;
   theme: 'light' | 'dark';
   selectedPostcodeGeometry?: PostcodeGeometry | null;
+  currentLocation?: { lat: number; lng: number } | null;
   bounds?: Bounds | null;
   travelTimeEntries?: TravelTimeEntry[];
 }
 
-interface PopupInfo {
-  x: number;
-  y: number;
-  name: string;
-  category: string;
-  group: string;
-  emoji: string;
-  id: string;
-  isCluster?: boolean;
-  clusterCount?: number;
-}
-
-interface ClusterPoint {
-  lng: number;
-  lat: number;
-  count: number;
-  clusterId: number;
-}
-
 /** Normalize a distribution count array to [0..1] ratios, padded to 10 values. */
 function distToRatios(dist: unknown): number[] {
   if (!Array.isArray(dist) || dist.length === 0) return [1, 0, 0, 0, 0, 0, 0, 0, 0, 0];
@@ -95,10 +72,10 @@ export function useDeckLayers({
   onHexagonHover,
   theme,
   selectedPostcodeGeometry,
+  currentLocation,
   bounds: viewportBounds,
   travelTimeEntries = [],
 }: UseDeckLayersProps) {
-  const [popupInfo, setPopupInfo] = useState<PopupInfo | null>(null);
   const [hoverPosition, setHoverPosition] = useState<{ x: number; y: number } | null>(null);
   const [hoveredPostcode, setHoveredPostcode] = useState<string | null>(null);
 
@@ -114,6 +91,7 @@ export function useDeckLayers({
 
   const isDark = theme === 'dark';
   const densityGradient = isDark ? DENSITY_GRADIENT_DARK : DENSITY_GRADIENT;
+  const { poiLayers, popupInfo, clearPopupInfo } = usePoiLayers({ pois, zoom, isDark });
 
   // --- Refs for deck.gl accessors ---
   const viewFeatureRef = useRef(viewFeature);
@@ -126,6 +104,8 @@ export function useDeckLayers({
   isDarkRef.current = isDark;
   const densityGradientRef = useRef(densityGradient);
   densityGradientRef.current = densityGradient;
+  const featureGradientRef = useRef(getFeatureGradient(viewFeature));
+  featureGradientRef.current = getFeatureGradient(viewFeature);
   const selectedHexagonIdRef = useRef(selectedHexagonId);
   selectedHexagonIdRef.current = selectedHexagonId;
   const hoveredHexagonIdRef = useRef(hoveredHexagonId);
@@ -148,9 +128,7 @@ export function useDeckLayers({
       : 0;
 
   // Per-feature color palette (uses overrides when defined)
-  const enumPaletteRef = useRef(
-    getEnumPaletteForFeature(viewFeature, colorFeatureMeta?.values)
-  );
+  const enumPaletteRef = useRef(getEnumPaletteForFeature(viewFeature, colorFeatureMeta?.values));
   enumPaletteRef.current = getEnumPaletteForFeature(viewFeature, colorFeatureMeta?.values);
 
   const countRange = useMemo(() => {
@@ -231,52 +209,6 @@ export function useDeckLayers({
     }
   }, []);
 
-  const handlePoiHover = useCallback((info: PickingInfo<POI>) => {
-    if (info.object && info.x !== undefined && info.y !== undefined) {
-      setPopupInfo({
-        x: info.x,
-        y: info.y,
-        name: info.object.name,
-        category: info.object.category,
-        group: info.object.group,
-        emoji: info.object.emoji,
-        id: info.object.id,
-      });
-    } else {
-      setPopupInfo(null);
-    }
-  }, []);
-
-  const handlePoiHoverRef = useRef(handlePoiHover);
-  handlePoiHoverRef.current = handlePoiHover;
-  const stablePoiHover = useCallback((info: PickingInfo<POI>) => {
-    handlePoiHoverRef.current(info);
-  }, []);
-
-  const handleClusterHover = useCallback((info: PickingInfo<ClusterPoint>) => {
-    if (info.object && info.x !== undefined && info.y !== undefined) {
-      setPopupInfo({
-        x: info.x,
-        y: info.y,
-        name: `${info.object.count} places`,
-        category: 'Zoom in to see details',
-        group: '',
-        emoji: '',
-        id: '',
-        isCluster: true,
-        clusterCount: info.object.count,
-      });
-    } else {
-      setPopupInfo(null);
-    }
-  }, []);
-
-  const handleClusterHoverRef = useRef(handleClusterHover);
-  handleClusterHoverRef.current = handleClusterHover;
-  const stableClusterHover = useCallback((info: PickingInfo<ClusterPoint>) => {
-    handleClusterHoverRef.current(info);
-  }, []);
-
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
   const handlePostcodeClick = useCallback((info: PickingInfo<any>) => {
     const pc = info.object?.properties?.postcode;
@@ -380,7 +312,10 @@ export function useDeckLayers({
               0,
               densityGradientRef.current,
               dark,
-              255
+              255,
+              0,
+              undefined,
+              featureGradientRef.current
             );
           }
 
@@ -399,7 +334,8 @@ export function useDeckLayers({
               dark,
               255,
               enumCountRef.current,
-              enumPaletteRef.current
+              enumPaletteRef.current,
+              featureGradientRef.current
             );
           }
         }
@@ -481,7 +417,10 @@ export function useDeckLayers({
               0,
               densityGradientRef.current,
               dark,
-              180
+              180,
+              0,
+              undefined,
+              featureGradientRef.current
             );
           }
 
@@ -501,7 +440,8 @@ export function useDeckLayers({
               dark,
               180,
               enumCountRef.current,
-              enumPaletteRef.current
+              enumPaletteRef.current,
+              featureGradientRef.current
             );
           }
         }
@@ -576,148 +516,6 @@ export function useDeckLayers({
     [postcodeData, theme]
   );
 
-  // --- POI clustering ---
-  const clusterIndex = useMemo(() => {
-    if (pois.length === 0) return null;
-    const index = new Supercluster<POI>({
-      radius: POI_CLUSTER_RADIUS,
-      maxZoom: POI_CLUSTER_MAX_ZOOM,
-    });
-    const features: Supercluster.PointFeature<POI>[] = pois.map((poi) => ({
-      type: 'Feature',
-      geometry: { type: 'Point', coordinates: [poi.lng, poi.lat] },
-      properties: poi,
-    }));
-    index.load(features);
-    return index;
-  }, [pois]);
-
-  const clusterZoom = Math.floor(zoom);
-  const showMinorPois = zoom >= MINOR_POI_ZOOM_THRESHOLD;
-
-  const { visiblePois, clusters } = useMemo(() => {
-    if (!clusterIndex || pois.length === 0) {
-      return { visiblePois: [] as POI[], clusters: [] as ClusterPoint[] };
-    }
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    const allFeatures = clusterIndex.getClusters([-180, -85, 180, 85], clusterZoom) as any[];
-    const individual: POI[] = [];
-    const clusterPoints: ClusterPoint[] = [];
-    for (const feature of allFeatures) {
-      if (feature.properties.cluster) {
-        clusterPoints.push({
-          lng: feature.geometry.coordinates[0],
-          lat: feature.geometry.coordinates[1],
-          count: feature.properties.point_count,
-          clusterId: feature.properties.cluster_id,
-        });
-      } else {
-        const poi = feature.properties as POI;
-        if (!showMinorPois && MINOR_POI_CATEGORIES.has(poi.category)) continue;
-        individual.push(poi);
-      }
-    }
-    return { visiblePois: individual, clusters: clusterPoints };
-  }, [clusterIndex, clusterZoom, showMinorPois, pois]);
-
-  // --- Individual POI layers (shadow → background → emoji) ---
-  const poiShadowLayer = useMemo(
-    () =>
-      new ScatterplotLayer<POI>({
-        id: 'poi-shadow',
-        data: visiblePois,
-        getPosition: (d) => [d.lng, d.lat],
-        getRadius: 16,
-        radiusUnits: 'pixels',
-        getFillColor: isDark ? [0, 0, 0, 50] : [0, 0, 0, 25],
-        pickable: false,
-        transitions: { getRadius: { duration: 300, enter: () => [0] } },
-      }),
-    [visiblePois, isDark]
-  );
-
-  const poiBackgroundLayer = useMemo(
-    () =>
-      new ScatterplotLayer<POI>({
-        id: 'poi-background',
-        data: visiblePois,
-        getPosition: (d) => [d.lng, d.lat],
-        getRadius: 14,
-        radiusUnits: 'pixels',
-        getFillColor: isDark ? [41, 37, 36, 255] : [255, 255, 255, 255],
-        getLineColor: (d) => {
-          const c = POI_GROUP_COLORS[d.group] || POI_DEFAULT_COLOR;
-          return [c[0], c[1], c[2], 255] as [number, number, number, number];
-        },
-        getLineWidth: 2.5,
-        lineWidthUnits: 'pixels',
-        stroked: true,
-        pickable: true,
-        onHover: stablePoiHover,
-        transitions: { getRadius: { duration: 300, enter: () => [0] } },
-      }),
-    [visiblePois, isDark, stablePoiHover]
-  );
-
-  const poiIconLayer = useMemo(
-    () =>
-      new IconLayer<POI>({
-        id: 'poi-icons',
-        data: visiblePois,
-        getPosition: (d) => [d.lng, d.lat],
-        getIcon: (d) => ({
-          url: emojiToTwemojiUrl(d.emoji),
-          width: 72,
-          height: 72,
-        }),
-        getSize: 18,
-        sizeUnits: 'pixels',
-        pickable: false,
-        transitions: { getSize: { duration: 300, enter: () => [0] } },
-      }),
-    [visiblePois]
-  );
-
-  // --- Cluster layers ---
-  const clusterCircleLayer = useMemo(
-    () =>
-      new ScatterplotLayer<ClusterPoint>({
-        id: 'poi-clusters',
-        data: clusters,
-        getPosition: (d) => [d.lng, d.lat],
-        getRadius: (d) => Math.min(30, 14 + Math.sqrt(d.count) * 2),
-        radiusUnits: 'pixels',
-        getFillColor: isDark ? [5, 129, 114, 220] : [20, 184, 166, 220],
-        getLineColor: [255, 255, 255, isDark ? 60 : 120],
-        getLineWidth: 2,
-        lineWidthUnits: 'pixels',
-        stroked: true,
-        pickable: true,
-        onHover: stableClusterHover,
-        transitions: { getRadius: { duration: 300, enter: () => [0] } },
-      }),
-    [clusters, isDark, stableClusterHover]
-  );
-
-  const clusterTextLayer = useMemo(
-    () =>
-      new TextLayer<ClusterPoint>({
-        id: 'poi-cluster-text',
-        data: clusters,
-        getPosition: (d) => [d.lng, d.lat],
-        getText: (d) => (d.count >= 1000 ? `${(d.count / 1000).toFixed(1)}k` : String(d.count)),
-        getSize: 12,
-        getColor: [255, 255, 255, 255],
-        fontWeight: 700,
-        fontFamily: 'Inter, system-ui, sans-serif',
-        getTextAnchor: 'middle',
-        getAlignmentBaseline: 'center',
-        sizeUnits: 'pixels',
-        pickable: false,
-      }),
-    [clusters]
-  );
-
   // Marching ants highlight layer for selected hexagon or postcode
   const marchingAntsLayer = useMemo(() => {
     let geometry: PostcodeGeometry | null = null;
@@ -748,10 +546,25 @@ export function useDeckLayers({
     });
   }, [selectedPostcodeGeometry, selectedHexagonId, marchTime]);
 
-  const poiLayers = useMemo(
-    () => [poiShadowLayer, poiBackgroundLayer, poiIconLayer, clusterCircleLayer, clusterTextLayer],
-    [poiShadowLayer, poiBackgroundLayer, poiIconLayer, clusterCircleLayer, clusterTextLayer]
-  );
+  const currentLocationLayer = useMemo(() => {
+    if (!currentLocation) return null;
+    return new ScatterplotLayer<{ lat: number; lng: number; kind: 'ring' | 'dot' }>({
+      id: 'current-location-dot',
+      data: [
+        { ...currentLocation, kind: 'ring' },
+        { ...currentLocation, kind: 'dot' },
+      ],
+      getPosition: (d) => [d.lng, d.lat],
+      getRadius: (d) => (d.kind === 'ring' ? 16 : 5),
+      radiusUnits: 'pixels',
+      getFillColor: (d) => (d.kind === 'ring' ? [20, 184, 166, 45] : [220, 38, 38, 255]),
+      getLineColor: (d) => (d.kind === 'ring' ? [20, 184, 166, 240] : [255, 255, 255, 240]),
+      getLineWidth: 2,
+      lineWidthUnits: 'pixels',
+      stroked: true,
+      pickable: false,
+    });
+  }, [currentLocation]);
 
   const layers = useMemo(() => {
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
@@ -761,6 +574,7 @@ export function useDeckLayers({
         : [postcodeLayer, ...poiLayers]
       : [hexLayer, ...poiLayers];
     if (marchingAntsLayer) baseLayers.push(marchingAntsLayer);
+    if (currentLocationLayer) baseLayers.push(currentLocationLayer);
     return baseLayers;
   }, [
     usePostcodeView,
@@ -770,16 +584,15 @@ export function useDeckLayers({
     postcodeLabelsLayer,
     poiLayers,
     marchingAntsLayer,
+    currentLocationLayer,
   ]);
 
   const handleMouseLeave = useCallback(() => {
     setHoverPosition(null);
     setHoveredPostcode(null);
-    setPopupInfo(null);
+    clearPopupInfo();
     onHexagonHoverRef.current(null);
-  }, []);
-
-  const clearPopupInfo = useCallback(() => setPopupInfo(null), []);
+  }, [clearPopupInfo]);
 
   return {
     layers,
diff --git a/frontend/src/hooks/useFilters.ts b/frontend/src/hooks/useFilters.ts
index 826e0c4..f3ddaf6 100644
--- a/frontend/src/hooks/useFilters.ts
+++ b/frontend/src/hooks/useFilters.ts
@@ -96,6 +96,7 @@ export function useFilters({ initialFilters, features }: UseFiltersOptions) {
       const meta = features.find((f) => f.name === name);
       if (meta?.type === 'enum') return;
       pendingDragRef.current = name;
+      setActiveFeature(name);
     },
     [features]
   );
@@ -112,8 +113,9 @@ export function useFilters({ initialFilters, features }: UseFiltersOptions) {
 
   const handleDragEnd = useCallback(() => {
     if (pendingDragRef.current) {
-      // Click without drag — no state was changed, just clear the ref
+      // Click without drag — no filter value was changed, just clear preview state.
       pendingDragRef.current = null;
+      setActiveFeature(null);
       return;
     }
     const af = dragActiveRef.current;
@@ -131,6 +133,7 @@ export function useFilters({ initialFilters, features }: UseFiltersOptions) {
   const handleDragEndNoCommit = useCallback((): [number, number] | null => {
     if (pendingDragRef.current) {
       pendingDragRef.current = null;
+      setActiveFeature(null);
       return null;
     }
     const dv = dragValueRef.current;
diff --git a/frontend/src/hooks/useHexagonSelection.ts b/frontend/src/hooks/useHexagonSelection.ts
index 2a5118c..e850c1d 100644
--- a/frontend/src/hooks/useHexagonSelection.ts
+++ b/frontend/src/hooks/useHexagonSelection.ts
@@ -1,5 +1,5 @@
 import { useState, useCallback, useEffect, useMemo, useRef } from 'react';
-import { latLngToCell } from 'h3-js';
+import { cellToLatLng, cellToParent, latLngToCell } from 'h3-js';
 import { trackEvent } from '../lib/analytics';
 import type {
   FeatureMeta,
@@ -11,10 +11,13 @@ import type {
 } from '../types';
 import { buildFilterString, apiUrl, assertOk, logNonAbortError, authHeaders } from '../lib/api';
 
+const CURRENT_LOCATION_HEX_RESOLUTION = 12;
+
 interface SelectedHexagon {
   id: string;
   type: 'hexagon' | 'postcode';
   resolution: number;
+  lockedResolution?: boolean;
 }
 
 interface JourneyDest {
@@ -22,10 +25,18 @@ interface JourneyDest {
   slug: string;
 }
 
+interface PostcodeLookupResponse {
+  postcode: string;
+  latitude: number;
+  longitude: number;
+  geometry: PostcodeGeometry;
+}
+
 interface UseHexagonSelectionOptions {
   filters: FeatureFilters;
   features: FeatureMeta[];
   resolution: number;
+  usePostcodeView: boolean;
   /** First transit destination — used to pick the best central_postcode for journey display. */
   journeyDest?: JourneyDest | null;
 }
@@ -34,6 +45,7 @@ export function useHexagonSelection({
   filters,
   features,
   resolution,
+  usePostcodeView,
   journeyDest,
 }: UseHexagonSelectionOptions) {
   const [selectedHexagon, setSelectedHexagon] = useState<SelectedHexagon | null>(null);
@@ -42,6 +54,7 @@ export function useHexagonSelection({
   const [propertiesOffset, setPropertiesOffset] = useState(0);
   const [loadingProperties, setLoadingProperties] = useState(false);
   const [areaStats, setAreaStats] = useState<HexagonStatsResponse | null>(null);
+  const [unfilteredAreaCount, setUnfilteredAreaCount] = useState<number | null>(null);
   const [loadingAreaStats, setLoadingAreaStats] = useState(false);
   const [hoveredHexagon, setHoveredHexagon] = useState<string | null>(null);
   const [rightPaneTab, setRightPaneTab] = useState<'properties' | 'area'>('area');
@@ -50,12 +63,18 @@ export function useHexagonSelection({
   );
 
   const fetchHexagonStats = useCallback(
-    async (h3: string, res: number, signal?: AbortSignal, fields?: string[]) => {
+    async (
+      h3: string,
+      res: number,
+      signal?: AbortSignal,
+      fields?: string[],
+      includeFilters = true
+    ) => {
       const params = new URLSearchParams({
         h3,
         resolution: res.toString(),
       });
-      const filterStr = buildFilterString(filters, features);
+      const filterStr = includeFilters ? buildFilterString(filters, features) : '';
       if (filterStr) params.append('filters', filterStr);
       if (fields) {
         params.set('fields', fields.join(';;'));
@@ -72,9 +91,9 @@ export function useHexagonSelection({
   );
 
   const fetchPostcodeStats = useCallback(
-    async (postcode: string, signal?: AbortSignal) => {
+    async (postcode: string, signal?: AbortSignal, includeFilters = true) => {
       const params = new URLSearchParams({ postcode });
-      const filterStr = buildFilterString(filters, features);
+      const filterStr = includeFilters ? buildFilterString(filters, features) : '';
       if (filterStr) params.append('filters', filterStr);
       const response = await fetch(apiUrl('postcode-stats', params), authHeaders({ signal }));
       assertOk(response, 'postcode-stats');
@@ -83,6 +102,47 @@ export function useHexagonSelection({
     [filters, features]
   );
 
+  const filterStr = useMemo(() => buildFilterString(filters, features), [filters, features]);
+
+  const fetchUnfilteredAreaCount = useCallback(
+    async (selection: SelectedHexagon, signal?: AbortSignal) => {
+      if (!filterStr) {
+        setUnfilteredAreaCount(null);
+        return;
+      }
+
+      const stats =
+        selection.type === 'postcode'
+          ? await fetchPostcodeStats(selection.id, signal, false)
+          : await fetchHexagonStats(selection.id, selection.resolution, signal, undefined, false);
+      setUnfilteredAreaCount(stats.count);
+    },
+    [filterStr, fetchHexagonStats, fetchPostcodeStats]
+  );
+
+  const refreshUnfilteredAreaCount = useCallback(
+    (selection: SelectedHexagon, filteredCount: number, signal?: AbortSignal) => {
+      if (!filterStr || filteredCount > 0) {
+        setUnfilteredAreaCount(null);
+        return;
+      }
+
+      fetchUnfilteredAreaCount(selection, signal).catch((error) =>
+        logNonAbortError('Failed to fetch unfiltered area count', error)
+      );
+    },
+    [filterStr, fetchUnfilteredAreaCount]
+  );
+
+  const fetchPostcodeLookup = useCallback(async (postcode: string, signal?: AbortSignal) => {
+    const response = await fetch(
+      `/api/postcode/${encodeURIComponent(postcode)}`,
+      authHeaders({ signal })
+    );
+    assertOk(response, 'postcode lookup');
+    return (await response.json()) as PostcodeLookupResponse;
+  }, []);
+
   const fetchHexagonProperties = useCallback(
     async (h3: string, res: number, offset = 0) => {
       setLoadingProperties(true);
@@ -156,33 +216,42 @@ export function useHexagonSelection({
         setSelectedHexagon(null);
         setProperties([]);
         setAreaStats(null);
+        setUnfilteredAreaCount(null);
         setSelectedPostcodeGeometry(null);
       } else {
-        const type = isPostcode ? 'postcode' : 'hexagon';
+        const type: SelectedHexagon['type'] = isPostcode ? 'postcode' : 'hexagon';
+        const selection = { id, type, resolution };
         trackEvent('Hexagon Click', { type });
-        setSelectedHexagon({ id, type, resolution });
+        setSelectedHexagon(selection);
         setSelectedPostcodeGeometry(isPostcode && geometry ? geometry : null);
         setProperties([]);
         setPropertiesTotal(0);
         setPropertiesOffset(0);
+        setUnfilteredAreaCount(null);
         setRightPaneTab('area');
 
         if (isPostcode) {
           setLoadingAreaStats(true);
           fetchPostcodeStats(id)
-            .then((stats) => setAreaStats(stats))
+            .then((stats) => {
+              setAreaStats(stats);
+              refreshUnfilteredAreaCount(selection, stats.count);
+            })
             .catch((error) => logNonAbortError('Failed to fetch postcode stats', error))
             .finally(() => setLoadingAreaStats(false));
         } else {
           setLoadingAreaStats(true);
           fetchHexagonStats(id, resolution)
-            .then((stats) => setAreaStats(stats))
+            .then((stats) => {
+              setAreaStats(stats);
+              refreshUnfilteredAreaCount(selection, stats.count);
+            })
             .catch((error) => logNonAbortError('Failed to fetch area stats', error))
             .finally(() => setLoadingAreaStats(false));
         }
       }
     },
-    [selectedHexagon, resolution, fetchHexagonStats, fetchPostcodeStats]
+    [selectedHexagon, resolution, fetchHexagonStats, fetchPostcodeStats, refreshUnfilteredAreaCount]
   );
 
   const handleHexagonHover = useCallback((h3: string | null) => {
@@ -232,11 +301,111 @@ export function useHexagonSelection({
     setSelectedHexagon(null);
     setProperties([]);
     setAreaStats(null);
+    setUnfilteredAreaCount(null);
     setSelectedPostcodeGeometry(null);
   }, []);
 
+  // Keep the selected area aligned with the active map view as zoom changes.
+  useEffect(() => {
+    if (!selectedHexagon) return;
+    const selection = selectedHexagon;
+    const shouldSync =
+      (usePostcodeView &&
+        selection.type === 'hexagon' &&
+        !selection.lockedResolution &&
+        areaStats?.central_postcode != null) ||
+      (!usePostcodeView && selection.type === 'postcode') ||
+      (!usePostcodeView &&
+        selection.type === 'hexagon' &&
+        !selection.lockedResolution &&
+        selection.resolution !== resolution);
+    if (!shouldSync) return;
+
+    let cancelled = false;
+    const controller = new AbortController();
+
+    const refreshProperties = (selection: SelectedHexagon) => {
+      if (rightPaneTab !== 'properties') return;
+      if (selection.type === 'postcode') {
+        fetchPostcodeProperties(selection.id, 0);
+      } else {
+        fetchHexagonProperties(selection.id, selection.resolution, 0);
+      }
+    };
+
+    async function syncSelection() {
+      let nextSelection: SelectedHexagon | null = null;
+      let nextGeometry: PostcodeGeometry | null = null;
+      let nextStats: HexagonStatsResponse | null = null;
+
+      if (usePostcodeView && selection.type === 'hexagon' && !selection.lockedResolution) {
+        if (!areaStats?.central_postcode) return;
+        const lookup = await fetchPostcodeLookup(areaStats.central_postcode, controller.signal);
+        nextSelection = { id: lookup.postcode, type: 'postcode', resolution };
+        nextGeometry = lookup.geometry;
+        nextStats = await fetchPostcodeStats(lookup.postcode, controller.signal);
+      } else if (!usePostcodeView && selection.type === 'postcode') {
+        const lookup = await fetchPostcodeLookup(selection.id, controller.signal);
+        const nextId = latLngToCell(lookup.latitude, lookup.longitude, resolution);
+        nextSelection = { id: nextId, type: 'hexagon', resolution };
+        nextStats = await fetchHexagonStats(nextId, resolution, controller.signal);
+      } else if (
+        !usePostcodeView &&
+        selection.type === 'hexagon' &&
+        !selection.lockedResolution &&
+        selection.resolution !== resolution
+      ) {
+        const nextId =
+          resolution < selection.resolution
+            ? cellToParent(selection.id, resolution)
+            : latLngToCell(...cellToLatLng(selection.id), resolution);
+        nextSelection = { id: nextId, type: 'hexagon', resolution };
+        nextStats = await fetchHexagonStats(nextId, resolution, controller.signal);
+      } else {
+        return;
+      }
+
+      if (cancelled || !nextSelection || !nextStats) return;
+      setSelectedHexagon(nextSelection);
+      setSelectedPostcodeGeometry(nextGeometry);
+      setAreaStats(nextStats);
+      refreshUnfilteredAreaCount(nextSelection, nextStats.count, controller.signal);
+      refreshProperties(nextSelection);
+    }
+
+    setProperties([]);
+    setPropertiesTotal(0);
+    setPropertiesOffset(0);
+    setUnfilteredAreaCount(null);
+    setLoadingAreaStats(true);
+
+    syncSelection()
+      .catch((error) => {
+        if (!cancelled) logNonAbortError('Failed to sync selected area with map view', error);
+      })
+      .finally(() => {
+        if (!cancelled) setLoadingAreaStats(false);
+      });
+
+    return () => {
+      cancelled = true;
+      controller.abort();
+    };
+  }, [
+    selectedHexagon,
+    resolution,
+    usePostcodeView,
+    areaStats?.central_postcode,
+    fetchHexagonStats,
+    fetchPostcodeStats,
+    fetchPostcodeLookup,
+    fetchHexagonProperties,
+    fetchPostcodeProperties,
+    refreshUnfilteredAreaCount,
+    rightPaneTab,
+  ]);
+
   // Re-fetch stats when filters change while a hexagon is selected
-  const filterStr = useMemo(() => buildFilterString(filters, features), [filters, features]);
   const prevFilterStr = useRef(filterStr);
 
   useEffect(() => {
@@ -261,19 +430,14 @@ export function useHexagonSelection({
     fetchStats
       .then((stats) => {
         if (cancelled) return;
-        if (stats.count === 0) {
-          setSelectedHexagon(null);
-          setAreaStats(null);
-          setSelectedPostcodeGeometry(null);
-        } else {
-          setAreaStats(stats);
-          // Re-fetch properties if the properties tab is active
-          if (rightPaneTab === 'properties') {
-            if (selectedHexagon.type === 'postcode') {
-              fetchPostcodeProperties(selectedHexagon.id, 0);
-            } else {
-              fetchHexagonProperties(selectedHexagon.id, selectedHexagon.resolution, 0);
-            }
+        setAreaStats(stats);
+        refreshUnfilteredAreaCount(selectedHexagon, stats.count);
+        // Re-fetch properties if the properties tab is active and the filtered area still has matches.
+        if (rightPaneTab === 'properties' && stats.count > 0) {
+          if (selectedHexagon.type === 'postcode') {
+            fetchPostcodeProperties(selectedHexagon.id, 0);
+          } else {
+            fetchHexagonProperties(selectedHexagon.id, selectedHexagon.resolution, 0);
           }
         }
       })
@@ -296,6 +460,7 @@ export function useHexagonSelection({
     rightPaneTab,
     fetchHexagonProperties,
     fetchPostcodeProperties,
+    refreshUnfilteredAreaCount,
   ]);
 
   const handleLocationSearch = useCallback(
@@ -304,6 +469,7 @@ export function useHexagonSelection({
       setProperties([]);
       setPropertiesTotal(0);
       setPropertiesOffset(0);
+      setUnfilteredAreaCount(null);
       setRightPaneTab('area');
       setLoadingAreaStats(true);
 
@@ -311,18 +477,22 @@ export function useHexagonSelection({
       fetchPostcodeStats(postcode)
         .then(async (stats) => {
           if (stats.count > 0) {
-            setSelectedHexagon({ id: postcode, type: 'postcode', resolution });
+            const selection = { id: postcode, type: 'postcode' as const, resolution };
+            setSelectedHexagon(selection);
             setSelectedPostcodeGeometry(geometry);
             setAreaStats(stats);
+            refreshUnfilteredAreaCount(selection, stats.count);
             return;
           }
 
           // No properties in this postcode — fall back to hexagons
           if (lat == null || lng == null) {
             // No coordinates available, show empty postcode anyway
-            setSelectedHexagon({ id: postcode, type: 'postcode', resolution });
+            const selection = { id: postcode, type: 'postcode' as const, resolution };
+            setSelectedHexagon(selection);
             setSelectedPostcodeGeometry(geometry);
             setAreaStats(stats);
+            refreshUnfilteredAreaCount(selection, stats.count);
             return;
           }
 
@@ -332,9 +502,11 @@ export function useHexagonSelection({
             const h3 = latLngToCell(lat, lng, res);
             const hexStats = await fetchHexagonStats(h3, res);
             if (hexStats.count > 1) {
-              setSelectedHexagon({ id: h3, type: 'hexagon', resolution: res });
+              const selection = { id: h3, type: 'hexagon' as const, resolution: res };
+              setSelectedHexagon(selection);
               setSelectedPostcodeGeometry(null);
               setAreaStats(hexStats);
+              refreshUnfilteredAreaCount(selection, hexStats.count);
               return;
             }
           }
@@ -342,14 +514,47 @@ export function useHexagonSelection({
           // Even the coarsest hexagon has ≤1 property — show whatever the finest has
           const h3 = latLngToCell(lat, lng, 9);
           const fallbackStats = await fetchHexagonStats(h3, 9);
-          setSelectedHexagon({ id: h3, type: 'hexagon', resolution: 9 });
+          const selection = { id: h3, type: 'hexagon' as const, resolution: 9 };
+          setSelectedHexagon(selection);
           setSelectedPostcodeGeometry(null);
           setAreaStats(fallbackStats);
+          refreshUnfilteredAreaCount(selection, fallbackStats.count);
         })
         .catch((error) => logNonAbortError('Failed to fetch postcode stats', error))
         .finally(() => setLoadingAreaStats(false));
     },
-    [resolution, fetchPostcodeStats, fetchHexagonStats]
+    [resolution, fetchPostcodeStats, fetchHexagonStats, refreshUnfilteredAreaCount]
+  );
+
+  const handleCurrentLocationSearch = useCallback(
+    (lat: number, lng: number) => {
+      const h3 = latLngToCell(lat, lng, CURRENT_LOCATION_HEX_RESOLUTION);
+      const selection = {
+        id: h3,
+        type: 'hexagon' as const,
+        resolution: CURRENT_LOCATION_HEX_RESOLUTION,
+        lockedResolution: true,
+      };
+
+      trackEvent('Current Location Search');
+      setSelectedHexagon(selection);
+      setSelectedPostcodeGeometry(null);
+      setProperties([]);
+      setPropertiesTotal(0);
+      setPropertiesOffset(0);
+      setUnfilteredAreaCount(null);
+      setRightPaneTab('area');
+      setLoadingAreaStats(true);
+
+      fetchHexagonStats(h3, CURRENT_LOCATION_HEX_RESOLUTION)
+        .then((stats) => {
+          setAreaStats(stats);
+          refreshUnfilteredAreaCount(selection, stats.count);
+        })
+        .catch((error) => logNonAbortError('Failed to fetch current location hex stats', error))
+        .finally(() => setLoadingAreaStats(false));
+    },
+    [fetchHexagonStats, refreshUnfilteredAreaCount]
   );
 
   return {
@@ -359,6 +564,7 @@ export function useHexagonSelection({
     loadingProperties,
     areaStats,
     loadingAreaStats,
+    unfilteredAreaCount,
     hoveredHexagon,
     rightPaneTab,
     setRightPaneTab,
@@ -370,5 +576,6 @@ export function useHexagonSelection({
     handleCloseSelection,
     selectedPostcodeGeometry,
     handleLocationSearch,
+    handleCurrentLocationSearch,
   };
 }
diff --git a/frontend/src/i18n/descriptions.ts b/frontend/src/i18n/descriptions.ts
index d5763f4..d55fab4 100644
--- a/frontend/src/i18n/descriptions.ts
+++ b/frontend/src/i18n/descriptions.ts
@@ -38,6 +38,14 @@ const descriptions: Record<string, Record<string, string>> = {
       'Écoles primaires notées Bien ou Excellent par Ofsted dans un rayon de 5 km',
     'Good+ secondary schools within 5km':
       'Collèges/lycées notés Bien ou Excellent par Ofsted dans un rayon de 5 km',
+    'Outstanding primary schools within 2km':
+      'Écoles primaires notées Excellent par Ofsted dans un rayon de 2 km',
+    'Outstanding secondary schools within 2km':
+      'Collèges/lycées notés Excellent par Ofsted dans un rayon de 2 km',
+    'Outstanding primary schools within 5km':
+      'Écoles primaires notées Excellent par Ofsted dans un rayon de 5 km',
+    'Outstanding secondary schools within 5km':
+      'Collèges/lycées notés Excellent par Ofsted dans un rayon de 5 km',
     'Education, Skills and Training Score':
       'Score de qualité éducative du secteur (plus élevé = meilleur)',
     'Income Score (rate)': 'Taux de précarité de revenu, inversé (plus élevé = moins précaire)',
@@ -121,6 +129,14 @@ const descriptions: Record<string, Record<string, string>> = {
       'Von Ofsted mit Gut oder Hervorragend bewertete Grundschulen im Umkreis von 5 km',
     'Good+ secondary schools within 5km':
       'Von Ofsted mit Gut oder Hervorragend bewertete weiterführende Schulen im Umkreis von 5 km',
+    'Outstanding primary schools within 2km':
+      'Von Ofsted mit Hervorragend bewertete Grundschulen im Umkreis von 2 km',
+    'Outstanding secondary schools within 2km':
+      'Von Ofsted mit Hervorragend bewertete weiterführende Schulen im Umkreis von 2 km',
+    'Outstanding primary schools within 5km':
+      'Von Ofsted mit Hervorragend bewertete Grundschulen im Umkreis von 5 km',
+    'Outstanding secondary schools within 5km':
+      'Von Ofsted mit Hervorragend bewertete weiterführende Schulen im Umkreis von 5 km',
     'Education, Skills and Training Score': 'Bildungsqualitätsscore der Gegend (höher = besser)',
     'Income Score (rate)':
       'Einkommensbenachteiligungsrate, invertiert (höher = weniger benachteiligt)',
@@ -202,6 +218,10 @@ const descriptions: Record<string, Record<string, string>> = {
     'Good+ secondary schools within 2km': 'Ofsted评为良好或优秀的2公里内中学',
     'Good+ primary schools within 5km': 'Ofsted评为良好或优秀的5公里内小学',
     'Good+ secondary schools within 5km': 'Ofsted评为良好或优秀的5公里内中学',
+    'Outstanding primary schools within 2km': 'Ofsted评为优秀的2公里内小学',
+    'Outstanding secondary schools within 2km': 'Ofsted评为优秀的2公里内中学',
+    'Outstanding primary schools within 5km': 'Ofsted评为优秀的5公里内小学',
+    'Outstanding secondary schools within 5km': 'Ofsted评为优秀的5公里内中学',
     'Education, Skills and Training Score': '当地教育质量得分（越高越好）',
     'Income Score (rate)': '收入贫困率，反向指标（越高越不贫困）',
     'Employment Score (rate)': '就业贫困率，反向指标（越高越不贫困）',
@@ -275,6 +295,14 @@ const descriptions: Record<string, Record<string, string>> = {
       'Ofsted által Jó vagy Kiváló minősítésű általános iskolák 5 km-en belül',
     'Good+ secondary schools within 5km':
       'Ofsted által Jó vagy Kiváló minősítésű középiskolák 5 km-en belül',
+    'Outstanding primary schools within 2km':
+      'Ofsted által Kiváló minősítésű általános iskolák 2 km-en belül',
+    'Outstanding secondary schools within 2km':
+      'Ofsted által Kiváló minősítésű középiskolák 2 km-en belül',
+    'Outstanding primary schools within 5km':
+      'Ofsted által Kiváló minősítésű általános iskolák 5 km-en belül',
+    'Outstanding secondary schools within 5km':
+      'Ofsted által Kiváló minősítésű középiskolák 5 km-en belül',
     'Education, Skills and Training Score':
       'A környék oktatási minőségi pontszáma (magasabb = jobb)',
     'Income Score (rate)': 'Jövedelmi deprivációs ráta, invertálva (magasabb = kevésbé hátrányos)',
diff --git a/frontend/src/i18n/details.ts b/frontend/src/i18n/details.ts
index 2d59883..85f6684 100644
--- a/frontend/src/i18n/details.ts
+++ b/frontend/src/i18n/details.ts
@@ -45,6 +45,14 @@ export const details: Record<string, Record<string, string>> = {
       "Écoles primaires financées par l'État dans un rayon de 5km ayant une note Ofsted actuelle de Bon ou Exceptionnel. Les écoles n'ayant pas encore été inspectées sont exclues.",
     'Good+ secondary schools within 5km':
       "Lycées et collèges financés par l'État dans un rayon de 5km ayant une note Ofsted actuelle de Bon ou Exceptionnel. Les établissements n'ayant pas encore été inspectés sont exclus.",
+    'Outstanding primary schools within 2km':
+      "Écoles primaires financées par l'État dans un rayon de 2km ayant une note Ofsted actuelle d'Exceptionnel. Les écoles n'ayant pas encore été inspectées sont exclues.",
+    'Outstanding secondary schools within 2km':
+      "Lycées et collèges financés par l'État dans un rayon de 2km ayant une note Ofsted actuelle d'Exceptionnel. Les établissements n'ayant pas encore été inspectés sont exclus.",
+    'Outstanding primary schools within 5km':
+      "Écoles primaires financées par l'État dans un rayon de 5km ayant une note Ofsted actuelle d'Exceptionnel. Les écoles n'ayant pas encore été inspectées sont exclues.",
+    'Outstanding secondary schools within 5km':
+      "Lycées et collèges financés par l'État dans un rayon de 5km ayant une note Ofsted actuelle d'Exceptionnel. Les établissements n'ayant pas encore été inspectés sont exclus.",
     'Education, Skills and Training Score':
       "Provient des Indices de Déprivation anglais (inversé afin que plus le score est élevé, meilleur est le résultat). Couvre les résultats scolaires, l'accès à l'enseignement supérieur, les qualifications des adultes et la maîtrise de la langue anglaise. Des scores plus élevés indiquent moins de déprivation.",
     'Income Score (rate)':
@@ -177,6 +185,14 @@ export const details: Record<string, Record<string, string>> = {
       'Staatlich geförderte Grundschulen innerhalb von 5 km mit einer aktuellen Ofsted-Bewertung von „Good" oder „Outstanding". Noch nicht inspizierte Schulen sind ausgeschlossen.',
     'Good+ secondary schools within 5km':
       'Staatlich geförderte weiterführende Schulen innerhalb von 5 km mit einer aktuellen Ofsted-Bewertung von „Good" oder „Outstanding". Noch nicht inspizierte Schulen sind ausgeschlossen.',
+    'Outstanding primary schools within 2km':
+      'Staatlich geförderte Grundschulen innerhalb von 2 km mit einer aktuellen Ofsted-Bewertung von „Outstanding". Noch nicht inspizierte Schulen sind ausgeschlossen.',
+    'Outstanding secondary schools within 2km':
+      'Staatlich geförderte weiterführende Schulen innerhalb von 2 km mit einer aktuellen Ofsted-Bewertung von „Outstanding". Noch nicht inspizierte Schulen sind ausgeschlossen.',
+    'Outstanding primary schools within 5km':
+      'Staatlich geförderte Grundschulen innerhalb von 5 km mit einer aktuellen Ofsted-Bewertung von „Outstanding". Noch nicht inspizierte Schulen sind ausgeschlossen.',
+    'Outstanding secondary schools within 5km':
+      'Staatlich geförderte weiterführende Schulen innerhalb von 5 km mit einer aktuellen Ofsted-Bewertung von „Outstanding". Noch nicht inspizierte Schulen sind ausgeschlossen.',
     'Education, Skills and Training Score':
       'Aus den englischen Deprivationsindizes (invertiert, sodass höher = besser bedeutet). Umfasst Schulleistungen, Hochschulzugang, Qualifikationen Erwachsener und Englischsprachkenntnisse. Höhere Werte weisen auf geringere Benachteiligung hin.',
     'Income Score (rate)':
@@ -309,6 +325,14 @@ export const details: Record<string, Record<string, string>> = {
       '5km范围内Ofsted评级为"Good"或"Outstanding"的公立小学数量。尚未接受评估的学校不计入。',
     'Good+ secondary schools within 5km':
       '5km范围内Ofsted评级为"Good"或"Outstanding"的公立中学数量。尚未接受评估的学校不计入。',
+    'Outstanding primary schools within 2km':
+      '2km范围内Ofsted评级为"Outstanding"的公立小学数量。尚未接受评估的学校不计入。',
+    'Outstanding secondary schools within 2km':
+      '2km范围内Ofsted评级为"Outstanding"的公立中学数量。尚未接受评估的学校不计入。',
+    'Outstanding primary schools within 5km':
+      '5km范围内Ofsted评级为"Outstanding"的公立小学数量。尚未接受评估的学校不计入。',
+    'Outstanding secondary schools within 5km':
+      '5km范围内Ofsted评级为"Outstanding"的公立中学数量。尚未接受评估的学校不计入。',
     'Education, Skills and Training Score':
       '来自英格兰剥夺指数（取反后越高越好）。涵盖学校成绩、高等教育入学率、成人学历和英语水平。分数越高表示剥夺程度越低。',
     'Income Score (rate)':
@@ -439,6 +463,14 @@ export const details: Record<string, Record<string, string>> = {
       '5 km-en belüli állami fenntartású általános iskolák, amelyek aktuális Ofsted besorolása Jó vagy Kiemelkedő. A még nem vizsgált iskolák ki vannak zárva.',
     'Good+ secondary schools within 5km':
       '5 km-en belüli állami fenntartású középiskolák, amelyek aktuális Ofsted besorolása Jó vagy Kiemelkedő. A még nem vizsgált iskolák ki vannak zárva.',
+    'Outstanding primary schools within 2km':
+      '2 km-en belüli állami fenntartású általános iskolák, amelyek aktuális Ofsted besorolása Kiemelkedő. A még nem vizsgált iskolák ki vannak zárva.',
+    'Outstanding secondary schools within 2km':
+      '2 km-en belüli állami fenntartású középiskolák, amelyek aktuális Ofsted besorolása Kiemelkedő. A még nem vizsgált iskolák ki vannak zárva.',
+    'Outstanding primary schools within 5km':
+      '5 km-en belüli állami fenntartású általános iskolák, amelyek aktuális Ofsted besorolása Kiemelkedő. A még nem vizsgált iskolák ki vannak zárva.',
+    'Outstanding secondary schools within 5km':
+      '5 km-en belüli állami fenntartású középiskolák, amelyek aktuális Ofsted besorolása Kiemelkedő. A még nem vizsgált iskolák ki vannak zárva.',
     'Education, Skills and Training Score':
       'Az Angol Nélkülözési Indexekből (megfordítva, így magasabb = jobb). Az iskolai teljesítményt, a felsőoktatásba való bejutást, a felnőttkori képesítéseket és az angol nyelvi jártasságot foglalja magában. A magasabb pontszámok kisebb mértékű nélkülözést jeleznek.',
     'Income Score (rate)':
diff --git a/frontend/src/i18n/locales/de.ts b/frontend/src/i18n/locales/de.ts
index d62bc46..21d3dac 100644
--- a/frontend/src/i18n/locales/de.ts
+++ b/frontend/src/i18n/locales/de.ts
@@ -259,6 +259,16 @@ const de: Translations = {
     areaStatistics: 'Gebietsstatistiken',
     statsFor: 'Statistiken für alle Immobilien in diesem {{type}}',
     matchingFilters: ', die allen aktiven Filtern entsprechen',
+    filtersAffectStats:
+      'Filter im linken Bereich werden hier angewendet: Werte, Diagramme und Immobilienzahlen nutzen die {{count}} aktiven Filter.',
+    noFiltersAffectStats:
+      'Filter im linken Bereich aktualisieren diesen Bereich: Fügen Sie Filter hinzu, um diese Werte für passende Immobilien neu zu berechnen.',
+    noFilteredMatches: 'Keine Immobilien in diesem Gebiet entsprechen Ihren Filtern.',
+    unfilteredAreaCount:
+      '{{count}} Immobilien gibt es hier vor den Filtern; der Ort ist gültig, wird aber herausgefiltert.',
+    noUnfilteredAreaProperties:
+      'In diesem ausgewählten Gebiet wurden auch vor den Filtern keine Immobilien gefunden.',
+    relaxFiltersHint: 'Lockern oder löschen Sie Filter, um Immobilien in diesem Gebiet zu sehen.',
     viewProperties: '{{count}} Immobilien ansehen',
     priceHistory: 'Preisentwicklung',
     journeysFrom: 'Verbindungen ab {{label}}',
@@ -742,6 +752,12 @@ const de: Translations = {
     'Good+ secondary schools within 2km': 'Gute+ weiterführende Schulen im Umkreis von 2 km',
     'Good+ primary schools within 5km': 'Gute+ Grundschulen im Umkreis von 5 km',
     'Good+ secondary schools within 5km': 'Gute+ weiterführende Schulen im Umkreis von 5 km',
+    'Outstanding primary schools within 2km': 'Hervorragende Grundschulen im Umkreis von 2 km',
+    'Outstanding secondary schools within 2km':
+      'Hervorragende weiterführende Schulen im Umkreis von 2 km',
+    'Outstanding primary schools within 5km': 'Hervorragende Grundschulen im Umkreis von 5 km',
+    'Outstanding secondary schools within 5km':
+      'Hervorragende weiterführende Schulen im Umkreis von 5 km',
     'Education, Skills and Training Score': 'Score für Bildung, Kompetenzen und Ausbildung',
 
     // ─ Feature names (Deprivation) ─
diff --git a/frontend/src/i18n/locales/en.ts b/frontend/src/i18n/locales/en.ts
index de65b40..faf073a 100644
--- a/frontend/src/i18n/locales/en.ts
+++ b/frontend/src/i18n/locales/en.ts
@@ -256,6 +256,15 @@ const en = {
     areaStatistics: 'Area Statistics',
     statsFor: 'Stats for all properties in this {{type}}',
     matchingFilters: ' matching all active filters',
+    filtersAffectStats:
+      'Left-pane filters are applied here: values, charts, and property counts use the {{count}} active filters.',
+    noFiltersAffectStats:
+      'Left-pane filters update this pane: add filters to recalculate these values for matching properties.',
+    noFilteredMatches: 'No properties match your filters in this area.',
+    unfilteredAreaCount:
+      '{{count}} properties exist here before filters, so the location is valid but filtered out.',
+    noUnfilteredAreaProperties: 'No properties were found in this selected area before filters.',
+    relaxFiltersHint: 'Relax or clear filters to see properties in this area.',
     viewProperties: 'View {{count}} Properties',
     priceHistory: 'Price History',
     journeysFrom: 'Journeys from {{label}}',
@@ -729,6 +738,10 @@ const en = {
     'Good+ secondary schools within 2km': 'Good+ secondary schools within 2km',
     'Good+ primary schools within 5km': 'Good+ primary schools within 5km',
     'Good+ secondary schools within 5km': 'Good+ secondary schools within 5km',
+    'Outstanding primary schools within 2km': 'Outstanding primary schools within 2km',
+    'Outstanding secondary schools within 2km': 'Outstanding secondary schools within 2km',
+    'Outstanding primary schools within 5km': 'Outstanding primary schools within 5km',
+    'Outstanding secondary schools within 5km': 'Outstanding secondary schools within 5km',
     'Education, Skills and Training Score': 'Education, Skills and Training Score',
 
     // ─ Feature names (Deprivation) ─
diff --git a/frontend/src/i18n/locales/fr.ts b/frontend/src/i18n/locales/fr.ts
index efb71ff..eabe668 100644
--- a/frontend/src/i18n/locales/fr.ts
+++ b/frontend/src/i18n/locales/fr.ts
@@ -263,6 +263,16 @@ const fr: Translations = {
     areaStatistics: 'Statistiques de la zone',
     statsFor: 'Statistiques pour toutes les propriétés de ce/cette {{type}}',
     matchingFilters: ' correspondant à tous les filtres actifs',
+    filtersAffectStats:
+      'Les filtres du panneau de gauche sont appliqués ici : valeurs, graphiques et nombres de propriétés utilisent les {{count}} filtres actifs.',
+    noFiltersAffectStats:
+      'Les filtres du panneau de gauche mettent ce panneau à jour : ajoutez des filtres pour recalculer ces valeurs pour les propriétés correspondantes.',
+    noFilteredMatches: 'Aucune propriété de cette zone ne correspond à vos filtres.',
+    unfilteredAreaCount:
+      '{{count}} propriétés existent ici avant les filtres ; le lieu est valide, mais filtré.',
+    noUnfilteredAreaProperties:
+      'Aucune propriété n’a été trouvée dans cette zone sélectionnée avant les filtres.',
+    relaxFiltersHint: 'Assouplissez ou effacez les filtres pour voir les propriétés de cette zone.',
     viewProperties: 'Voir {{count}} propriétés',
     priceHistory: 'Historique des prix',
     journeysFrom: 'Trajets depuis {{label}}',
@@ -745,6 +755,10 @@ const fr: Translations = {
     'Good+ secondary schools within 2km': 'Collèges/lycées Bien+ dans un rayon de 2 km',
     'Good+ primary schools within 5km': 'Écoles primaires Bien+ dans un rayon de 5 km',
     'Good+ secondary schools within 5km': 'Collèges/lycées Bien+ dans un rayon de 5 km',
+    'Outstanding primary schools within 2km': 'Écoles primaires Excellent dans un rayon de 2 km',
+    'Outstanding secondary schools within 2km': 'Collèges/lycées Excellent dans un rayon de 2 km',
+    'Outstanding primary schools within 5km': 'Écoles primaires Excellent dans un rayon de 5 km',
+    'Outstanding secondary schools within 5km': 'Collèges/lycées Excellent dans un rayon de 5 km',
     'Education, Skills and Training Score': 'Score éducation, compétences et formation',
 
     // ─ Feature names (Deprivation) ─
diff --git a/frontend/src/i18n/locales/hu.ts b/frontend/src/i18n/locales/hu.ts
index fc0e599..fbe66ab 100644
--- a/frontend/src/i18n/locales/hu.ts
+++ b/frontend/src/i18n/locales/hu.ts
@@ -257,6 +257,16 @@ const hu: Translations = {
     areaStatistics: 'Területi statisztikák',
     statsFor: 'Statisztikák a(z) {{type}} összes ingatlanáról',
     matchingFilters: ' az összes aktív szűrőnek megfelelően',
+    filtersAffectStats:
+      'A bal oldali panel szűrői itt is érvényesek: az értékek, diagramok és ingatlanszámok a(z) {{count}} aktív szűrőt használják.',
+    noFiltersAffectStats:
+      'A bal oldali panel szűrői frissítik ezt a panelt: adjon hozzá szűrőket, hogy ezek az értékek az illeszkedő ingatlanokra számolódjanak újra.',
+    noFilteredMatches: 'Ezen a területen egyetlen ingatlan sem felel meg a szűrőknek.',
+    unfilteredAreaCount:
+      '{{count}} ingatlan található itt szűrők nélkül, tehát a hely érvényes, csak a szűrők kizárják.',
+    noUnfilteredAreaProperties:
+      'A kiválasztott területen szűrők nélkül sem található ingatlan.',
+    relaxFiltersHint: 'Lazítson vagy törölje a szűrőket, hogy lássa a terület ingatlanjait.',
     viewProperties: '{{count}} ingatlan megtekintése',
     priceHistory: 'Ártörténet',
     journeysFrom: 'Utazások innen: {{label}}',
@@ -737,6 +747,10 @@ const hu: Translations = {
     'Good+ secondary schools within 2km': 'Jó+ középiskolák 2 km-en belül',
     'Good+ primary schools within 5km': 'Jó+ általános iskolák 5 km-en belül',
     'Good+ secondary schools within 5km': 'Jó+ középiskolák 5 km-en belül',
+    'Outstanding primary schools within 2km': 'Kiemelkedő általános iskolák 2 km-en belül',
+    'Outstanding secondary schools within 2km': 'Kiemelkedő középiskolák 2 km-en belül',
+    'Outstanding primary schools within 5km': 'Kiemelkedő általános iskolák 5 km-en belül',
+    'Outstanding secondary schools within 5km': 'Kiemelkedő középiskolák 5 km-en belül',
     'Education, Skills and Training Score': 'Oktatás, készségek és képzés pontszám',
 
     // ─ Feature names (Deprivation) ─
diff --git a/frontend/src/i18n/locales/zh.ts b/frontend/src/i18n/locales/zh.ts
index a748d27..8436f19 100644
--- a/frontend/src/i18n/locales/zh.ts
+++ b/frontend/src/i18n/locales/zh.ts
@@ -254,6 +254,14 @@ const zh: Translations = {
     areaStatistics: '区域统计',
     statsFor: '该{{type}}内所有房产的统计数据',
     matchingFilters: '，满足所有当前筛选条件',
+    filtersAffectStats:
+      '左侧面板的筛选条件会应用到这里：数值、图表和房产数量都会使用 {{count}} 个当前筛选条件。',
+    noFiltersAffectStats:
+      '左侧面板的筛选条件会更新此面板：添加筛选条件后，这些值会按匹配的房产重新计算。',
+    noFilteredMatches: '该区域没有房产符合当前筛选条件。',
+    unfilteredAreaCount: '筛选前这里有 {{count}} 处房产；位置有效，但被筛选条件排除了。',
+    noUnfilteredAreaProperties: '筛选前该选定区域内也没有找到房产。',
+    relaxFiltersHint: '放宽或清除筛选条件即可查看该区域的房产。',
     viewProperties: '查看 {{count}} 处房产',
     priceHistory: '价格历史',
     journeysFrom: '从 {{label}} 出发的路线',
@@ -661,7 +669,7 @@ const zh: Translations = {
       '设置预算、通勤上限、学校质量、犯罪门槛。您关心的一切。只有符合条件的区域会保持高亮。使用眼睛图标按任意特征着色。',
     step2Title: '或者直接描述',
     step2Content:
-      '用中文输入您的需求，例如“安静的地区，靠近好学校，£400k 以下”，我们会为您设置筛选。',
+      '用中文输入您的需求，例如“安静的地区，靠近好学校，£40万 以下”，我们会为您设置筛选。',
     step3Title: '探索现有住宅',
     step3Content:
       '在英格兰各地平移和缩放。点击任何彩色区域查看犯罪、学校、价格、宽带、噪音等信息。',
@@ -712,6 +720,10 @@ const zh: Translations = {
     'Good+ secondary schools within 2km': '2公里内良好+中学数量',
     'Good+ primary schools within 5km': '5公里内良好+小学数量',
     'Good+ secondary schools within 5km': '5公里内良好+中学数量',
+    'Outstanding primary schools within 2km': '2公里内优秀小学数量',
+    'Outstanding secondary schools within 2km': '2公里内优秀中学数量',
+    'Outstanding primary schools within 5km': '5公里内优秀小学数量',
+    'Outstanding secondary schools within 5km': '5公里内优秀中学数量',
     'Education, Skills and Training Score': '教育、技能和培训得分',
 
     // ─ Feature names (Deprivation) ─
diff --git a/frontend/src/lib/consts.ts b/frontend/src/lib/consts.ts
index 31387b7..26df3a1 100644
--- a/frontend/src/lib/consts.ts
+++ b/frontend/src/lib/consts.ts
@@ -44,6 +44,46 @@ export const FEATURE_GRADIENT: { t: number; color: [number, number, number] }[]
   { t: 1, color: [142, 68, 173] },
 ];
 
+export type GradientStop = { t: number; color: [number, number, number] };
+
+function partyGradient(color: [number, number, number]): GradientStop[] {
+  return [
+    { t: 0, color: [255, 255, 255] },
+    {
+      t: 0.5,
+      color: [
+        Math.round(255 + (color[0] - 255) * 0.45),
+        Math.round(255 + (color[1] - 255) * 0.45),
+        Math.round(255 + (color[2] - 255) * 0.45),
+      ],
+    },
+    { t: 1, color },
+  ];
+}
+
+/** UK party colours for the 2024 General Election vote-share map layers. */
+export const PARTY_FEATURE_GRADIENTS: Record<string, GradientStop[]> = {
+  '% Labour': partyGradient([228, 0, 59]), // Labour red
+  '% Conservative': partyGradient([0, 135, 220]), // Conservative blue
+  '% Liberal Democrat': partyGradient([255, 100, 0]), // Liberal Democrat orange
+  '% Reform UK': partyGradient([18, 182, 207]), // Reform UK cyan
+  '% Green': partyGradient([106, 176, 35]), // Green Party green
+  '% Other parties': partyGradient([107, 114, 128]), // neutral fallback for grouped parties
+};
+
+export const PARTY_FEATURE_COLORS: Record<string, string> = Object.fromEntries(
+  Object.entries(PARTY_FEATURE_GRADIENTS).map(([featureName, gradient]) => {
+    const color = gradient[gradient.length - 1].color;
+    return [featureName, `rgb(${color[0]}, ${color[1]}, ${color[2]})`];
+  })
+);
+
+export function getFeatureGradient(featureName: string | null | undefined): GradientStop[] {
+  return featureName
+    ? (PARTY_FEATURE_GRADIENTS[featureName] ?? FEATURE_GRADIENT)
+    : FEATURE_GRADIENT;
+}
+
 /** Number of properties gradient — light mode (cream → orange) */
 export const DENSITY_GRADIENT: { t: number; color: [number, number, number] }[] = [
   { t: 0, color: [255, 255, 255] },
diff --git a/frontend/src/lib/external-search.ts b/frontend/src/lib/external-search.ts
index f8f1c43..0290234 100644
--- a/frontend/src/lib/external-search.ts
+++ b/frontend/src/lib/external-search.ts
@@ -122,6 +122,16 @@ export function buildPropertySearchUrls({
       ? (tenureFilter as string[])
       : [];
 
+  const habitableRoomsFilter = filters['Number of bedrooms & living rooms'];
+  const minBedrooms =
+    Array.isArray(habitableRoomsFilter) && typeof habitableRoomsFilter[0] === 'number'
+      ? Math.max(0, habitableRoomsFilter[0] - 1)
+      : undefined;
+  const maxBedrooms =
+    Array.isArray(habitableRoomsFilter) && typeof habitableRoomsFilter[1] === 'number'
+      ? Math.max(0, habitableRoomsFilter[1] - 1)
+      : undefined;
+
   // Rightmove — requires locationIdentifier from typeahead API
   let rightmove: string | null = null;
   if (rightmoveLocationId) {
@@ -134,6 +144,8 @@ export function buildPropertySearchUrls({
       rmParams.set('minPrice', String(snapToAllowed(minPrice, RIGHTMOVE_PRICES, 'floor')));
     if (maxPrice !== undefined)
       rmParams.set('maxPrice', String(snapToAllowed(maxPrice, RIGHTMOVE_PRICES, 'ceil')));
+    if (minBedrooms !== undefined) rmParams.set('minBedrooms', String(minBedrooms));
+    if (maxBedrooms !== undefined) rmParams.set('maxBedrooms', String(maxBedrooms));
     if (selectedTypes.length > 0) {
       const rmTypes = [
         ...new Set(
@@ -161,6 +173,8 @@ export function buildPropertySearchUrls({
     otmParams.set('min-price', String(snapToAllowed(minPrice, OTM_PRICES, 'floor')));
   if (maxPrice !== undefined)
     otmParams.set('max-price', String(snapToAllowed(maxPrice, OTM_PRICES, 'ceil')));
+  if (minBedrooms !== undefined) otmParams.set('min-bedrooms', String(minBedrooms));
+  if (maxBedrooms !== undefined) otmParams.set('max-bedrooms', String(maxBedrooms));
   if (selectedTypes.length > 0) {
     const otmTypes = [
       ...new Set(selectedTypes.map((t) => PROPERTY_TYPE_MAP[t]?.onthemarket).filter(Boolean)),
@@ -181,6 +195,8 @@ export function buildPropertySearchUrls({
     zParams.set('price_min', String(snapToAllowed(minPrice, ZOOPLA_PRICES, 'floor')));
   if (maxPrice !== undefined)
     zParams.set('price_max', String(snapToAllowed(maxPrice, ZOOPLA_PRICES, 'ceil')));
+  if (minBedrooms !== undefined) zParams.set('beds_min', String(minBedrooms));
+  if (maxBedrooms !== undefined) zParams.set('beds_max', String(maxBedrooms));
   if (selectedTypes.length > 0) {
     const zTypes = [
       ...new Set(selectedTypes.map((t) => PROPERTY_TYPE_MAP[t]?.zoopla).filter(Boolean)),
diff --git a/frontend/src/lib/feature-icons.tsx b/frontend/src/lib/feature-icons.tsx
index 73782a3..da249bd 100644
--- a/frontend/src/lib/feature-icons.tsx
+++ b/frontend/src/lib/feature-icons.tsx
@@ -129,6 +129,19 @@ const FEATURE_ICON_PATHS: Record<string, ReactNode> = {
       <path d="M6 12v5c0 2.5 3 4 6 4s6-1.5 6-4v-5" />
     </>
   ),
+  'Outstanding primary schools within 5km': (
+    <>
+      <path d="M4 19V9l8-6 8 6v10" />
+      <path d="M9 19v-6h6v6" />
+      <line x1="4" y1="19" x2="20" y2="19" />
+    </>
+  ),
+  'Outstanding secondary schools within 5km': (
+    <>
+      <path d="M22 10v6M2 10l10-5 10 5-10 5z" />
+      <path d="M6 12v5c0 2.5 3 4 6 4s6-1.5 6-4v-5" />
+    </>
+  ),
   'Good+ primary schools within 2km': (
     <>
       <path d="M4 19V9l8-6 8 6v10" />
@@ -142,6 +155,19 @@ const FEATURE_ICON_PATHS: Record<string, ReactNode> = {
       <path d="M6 12v5c0 2.5 3 4 6 4s6-1.5 6-4v-5" />
     </>
   ),
+  'Outstanding primary schools within 2km': (
+    <>
+      <path d="M4 19V9l8-6 8 6v10" />
+      <path d="M9 19v-6h6v6" />
+      <line x1="4" y1="19" x2="20" y2="19" />
+    </>
+  ),
+  'Outstanding secondary schools within 2km': (
+    <>
+      <path d="M22 10v6M2 10l10-5 10 5-10 5z" />
+      <path d="M6 12v5c0 2.5 3 4 6 4s6-1.5 6-4v-5" />
+    </>
+  ),
 
   // ── Deprivation ──────────────────────────────
   'Income Score (rate)': (
diff --git a/frontend/src/lib/format.ts b/frontend/src/lib/format.ts
index 394a604..27a2496 100644
--- a/frontend/src/lib/format.ts
+++ b/frontend/src/lib/format.ts
@@ -1,3 +1,5 @@
+import i18n from 'i18next';
+
 interface ValueFormat {
   prefix?: string;
   suffix?: string;
@@ -5,10 +7,31 @@ interface ValueFormat {
   raw?: boolean;
 }
 
+function usesChineseNumberUnits(): boolean {
+  return i18n.language?.toLowerCase().startsWith('zh') ?? false;
+}
+
+function formatChineseCompactNumber(value: number): string | null {
+  const abs = Math.abs(value);
+  if (abs >= 100_000_000) return `${trimFixed(value / 100_000_000)}亿`;
+  if (abs >= 10_000) return `${trimFixed(value / 10_000)}万`;
+  return null;
+}
+
+function trimFixed(value: number): string {
+  return value.toFixed(1).replace(/\.0$/, '');
+}
+
 export function formatValue(value: number, fmt?: ValueFormat): string {
   const p = fmt?.prefix ?? '';
   const s = fmt?.suffix ?? '';
   if (fmt?.raw) return `${p}${Math.round(value)}${s}`;
+  if (usesChineseNumberUnits()) {
+    const chineseCompactValue = formatChineseCompactNumber(value);
+    if (chineseCompactValue) return `${p}${chineseCompactValue}${s}`;
+    if (Number.isInteger(value)) return `${p}${value.toLocaleString()}${s}`;
+    return `${p}${value.toFixed(1)}${s}`;
+  }
   if (Math.abs(value) >= 1_000_000) return `${p}${(value / 1_000_000).toFixed(1)}M${s}`;
   if (Math.abs(value) >= 1_000) return `${p}${(value / 1_000).toFixed(1)}k${s}`;
   if (Number.isInteger(value)) return `${p}${value.toLocaleString()}${s}`;
@@ -17,6 +40,12 @@ export function formatValue(value: number, fmt?: ValueFormat): string {
 
 export function formatFilterValue(value: number, raw?: boolean): string {
   if (raw) return Math.round(value).toString();
+  if (usesChineseNumberUnits()) {
+    const chineseCompactValue = formatChineseCompactNumber(value);
+    if (chineseCompactValue) return chineseCompactValue;
+    if (Number.isInteger(value)) return value.toString();
+    return value.toFixed(2);
+  }
   if (Math.abs(value) >= 1_000_000) return `${(value / 1_000_000).toFixed(1)}M`;
   if (Math.abs(value) >= 1_000) return `${(value / 1_000).toFixed(1)}k`;
   if (Number.isInteger(value)) return value.toString();
@@ -31,14 +60,17 @@ export function parseInputValue(
   let s = text.trim();
   if (opts?.prefix) s = s.replace(new RegExp(`^\\${opts.prefix}`), '');
   if (opts?.suffix) s = s.replace(new RegExp(`${opts.suffix.trim()}$`), '');
-  s = s.trim().replace(/,/g, '');
-  const m = s.match(/^(-?\d+\.?\d*)\s*([kKmM]?)$/);
+  s = s.trim().replace(/[,，]/g, '');
+  const m = s.match(/^(-?\d+\.?\d*)\s*([kKmM万亿億]?)$/);
   if (!m) return null;
   let val = parseFloat(m[1]);
   if (isNaN(val)) return null;
-  const unit = m[2].toLowerCase();
+  const unit = m[2];
   if (unit === 'k') val *= 1_000;
-  else if (unit === 'm') val *= 1_000_000;
+  else if (unit === 'K') val *= 1_000;
+  else if (unit === 'm' || unit === 'M') val *= 1_000_000;
+  else if (unit === '万') val *= 10_000;
+  else if (unit === '亿' || unit === '億') val *= 100_000_000;
   if (opts?.step) val = Math.round(val / opts.step) * opts.step;
   return val;
 }
@@ -102,9 +134,7 @@ export function roundedPercentages(values: number[], total: number, decimals = 0
   const floors = raw.map((r) => Math.floor(r));
   const result = floors.slice();
   let diff = targetSum - floors.reduce((a, b) => a + b, 0);
-  const order = raw
-    .map((r, i) => ({ i, frac: r - floors[i] }))
-    .sort((a, b) => b.frac - a.frac);
+  const order = raw.map((r, i) => ({ i, frac: r - floors[i] })).sort((a, b) => b.frac - a.frac);
   for (let k = 0; k < order.length && diff > 0; k++) {
     result[order[k].i] += 1;
     diff -= 1;
diff --git a/frontend/src/lib/map-utils.ts b/frontend/src/lib/map-utils.ts
index 0a18a18..8bc8b60 100644
--- a/frontend/src/lib/map-utils.ts
+++ b/frontend/src/lib/map-utils.ts
@@ -9,6 +9,7 @@ import {
   TWEMOJI_BASE,
   BUFFER_MULTIPLIER,
   ENUM_PALETTE,
+  type GradientStop,
 } from './consts';
 const ROAD_OPACITY = 0.4;
 
@@ -64,8 +65,6 @@ export function getMapStyle(theme: 'light' | 'dark'): StyleSpecification {
   } as StyleSpecification;
 }
 
-type GradientStop = { t: number; color: [number, number, number] };
-
 // Oklab color space for perceptually uniform interpolation
 function srgbToLinear(c: number): number {
   const v = c / 255;
@@ -131,8 +130,11 @@ function interpolateGradient(t: number, gradient: GradientStop[]): [number, numb
   return gradient[gradient.length - 1].color;
 }
 
-function normalizedToColor(t: number): [number, number, number] {
-  return interpolateGradient(t, FEATURE_GRADIENT);
+function normalizedToColor(
+  t: number,
+  gradient: GradientStop[] = FEATURE_GRADIENT
+): [number, number, number] {
+  return interpolateGradient(t, gradient);
 }
 
 function countToColor(
@@ -220,7 +222,8 @@ export function getFeatureFillColor(
   isDark: boolean,
   alpha: number,
   enumCount: number = 0,
-  enumPalette?: [number, number, number][]
+  enumPalette?: [number, number, number][],
+  featureGradient: GradientStop[] = FEATURE_GRADIENT
 ): [number, number, number, number] {
   if (colorRange) {
     if (value == null)
@@ -244,9 +247,9 @@ export function getFeatureFillColor(
 
     const range = colorRange[1] - colorRange[0];
     if (range === 0)
-      return [...FEATURE_GRADIENT[0].color, alpha] as [number, number, number, number];
+      return [...featureGradient[0].color, alpha] as [number, number, number, number];
     const t = ((value as number) - colorRange[0]) / range;
-    const rgb = normalizedToColor(Math.max(0, Math.min(1, t)));
+    const rgb = normalizedToColor(Math.max(0, Math.min(1, t)), featureGradient);
     return [...rgb, alpha] as [number, number, number, number];
   }
   return [...countToColor(Math.max(0, Math.min(1, countNormalized)), densityGradient), alpha] as [
diff --git a/pipeline/download/naptan.py b/pipeline/download/naptan.py
index 0503044..094cbef 100644
--- a/pipeline/download/naptan.py
+++ b/pipeline/download/naptan.py
@@ -22,6 +22,92 @@ STOP_TYPES = {
 }
 
 
+OUTPUT_COLUMNS = ["id", "name", "category", "lat", "lng"]
+
+
+def canonical_station_name_expr(name_col: str = "name") -> pl.Expr:
+    """Normalize station names so entrances/transport-mode variants collapse."""
+    expr = pl.col(name_col).str.to_lowercase()
+    expr = expr.str.replace_all(r"\([^)]*\)", " ")
+    expr = expr.str.replace_all(r"['’`]", "")
+    expr = expr.str.replace_all(r"&", " and ")
+    expr = expr.str.replace_all(r"[^a-z0-9]+", " ")
+    expr = expr.str.replace_all(r"\s+", " ").str.strip_chars()
+    expr = expr.str.replace_all(
+        r"\s+(underground|tube|dlr|metro|rail|railway)\s+station$", ""
+    )
+    expr = expr.str.replace_all(r"\s+tram\s+stop$", "")
+    expr = expr.str.replace_all(r"\s+(station|stop)$", "")
+    return expr.str.strip_chars()
+
+
+def _has_locality() -> pl.Expr:
+    return pl.col("locality").is_not_null() & (pl.col("locality") != "")
+
+
+def _deduplicate_tube_partition(
+    df: pl.DataFrame, group_cols: list[str]
+) -> pl.DataFrame:
+    if len(df) == 0:
+        return pl.DataFrame(
+            {
+                "id": pl.Series([], dtype=pl.String),
+                "name": pl.Series([], dtype=pl.String),
+                "category": pl.Series([], dtype=pl.String),
+                "lat": pl.Series([], dtype=pl.Float64),
+                "lng": pl.Series([], dtype=pl.Float64),
+            }
+        )
+
+    name_len = pl.col("name").str.len_chars()
+    return (
+        df.group_by(group_cols)
+        .agg(
+            pl.col("id").sort_by(name_len).first(),
+            pl.col("name").sort_by(name_len).first(),
+            pl.col("category").first(),
+            pl.col("lat").mean(),
+            pl.col("lng").mean(),
+        )
+        .select(OUTPUT_COLUMNS)
+    )
+
+
+def deduplicate_naptan(df: pl.DataFrame) -> pl.DataFrame:
+    """Deduplicate NaPTAN stops, with stricter station-level merging for Tube POIs."""
+    has_loc = df.filter(_has_locality())
+    no_loc = df.filter(~_has_locality())
+    cols_with_locality = [*OUTPUT_COLUMNS, "locality"]
+
+    # First pass: one record per exact stop name/category/locality.
+    deduped_has_loc = (
+        has_loc.group_by("name", "category", "locality")
+        .agg(
+            pl.col("id").first(),
+            pl.col("lat").mean(),
+            pl.col("lng").mean(),
+        )
+        .select(cols_with_locality)
+    )
+    df = pl.concat([deduped_has_loc, no_loc.select(cols_with_locality)])
+
+    tube = df.filter(pl.col("category") == "Tube station").with_columns(
+        canonical_station_name_expr().alias("_station_key")
+    )
+    other = df.filter(pl.col("category") != "Tube station")
+
+    tube_with_loc = tube.filter(_has_locality())
+    tube_no_loc = tube.filter(~_has_locality())
+    deduped_tube = pl.concat(
+        [
+            _deduplicate_tube_partition(tube_with_loc, ["_station_key", "locality"]),
+            _deduplicate_tube_partition(tube_no_loc, ["_station_key"]),
+        ]
+    )
+
+    return pl.concat([other.select(OUTPUT_COLUMNS), deduped_tube])
+
+
 def download_naptan(output: Path) -> None:
     output.parent.mkdir(parents=True, exist_ok=True)
 
@@ -50,24 +136,12 @@ def download_naptan(output: Path) -> None:
     )
 
     before = len(df)
+    df = deduplicate_naptan(df)
 
-    # Deduplicate: one record per name+category+locality
-    # (merges entrances, bus stop pairs on opposite sides of the road, etc.)
-    has_loc = df.filter(
-        pl.col("locality").is_not_null() & (pl.col("locality") != "")
+    print(
+        f"Deduplicated {before:,} → {len(df):,} stops "
+        "(by name+category+locality; tube stations by normalized station name)"
     )
-    no_loc = df.filter(
-        pl.col("locality").is_null() | (pl.col("locality") == "")
-    )
-    cols = ["id", "name", "category", "lat", "lng"]
-    deduped = has_loc.group_by("name", "category", "locality").agg(
-        pl.col("id").first(),
-        pl.col("lat").mean(),
-        pl.col("lng").mean(),
-    )
-    df = pl.concat([deduped.select(cols), no_loc.select(cols)])
-
-    print(f"Deduplicated {before:,} → {len(df):,} stops (by name+category+locality)")
 
     df.write_parquet(output)
     size_mb = output.stat().st_size / (1024 * 1024)
diff --git a/pipeline/download/test_naptan.py b/pipeline/download/test_naptan.py
new file mode 100644
index 0000000..14f0ced
--- /dev/null
+++ b/pipeline/download/test_naptan.py
@@ -0,0 +1,71 @@
+import polars as pl
+import pytest
+
+from pipeline.download.naptan import canonical_station_name_expr, deduplicate_naptan
+
+
+def test_canonical_station_name_expr_normalizes_transport_suffixes():
+    df = pl.DataFrame(
+        {
+            "name": [
+                "Bank",
+                "Bank Underground Station",
+                "Bank DLR Station",
+                "Pleasure Beach (Blackpool Tramway)",
+                "Earl's Court Tube Station",
+            ]
+        }
+    )
+
+    result = df.select(canonical_station_name_expr().alias("key"))["key"].to_list()
+
+    assert result == [
+        "bank",
+        "bank",
+        "bank",
+        "pleasure beach",
+        "earls court",
+    ]
+
+
+def test_deduplicate_naptan_merges_tube_station_variants_by_locality():
+    df = pl.DataFrame(
+        {
+            "id": ["bank", "bank-lu", "bank-dlr", "other-bank"],
+            "name": [
+                "Bank",
+                "Bank Underground Station",
+                "Bank DLR Station",
+                "Bank Underground Station",
+            ],
+            "category": ["Tube station"] * 4,
+            "lat": [51.5129, 51.5134, 51.5132, 55.0140],
+            "lng": [-0.0889, -0.0890, -0.0885, -1.6781],
+            "locality": ["LOC1", "LOC1", "LOC1", "LOC2"],
+        }
+    )
+
+    result = deduplicate_naptan(df).sort("lat")
+
+    assert len(result) == 2
+    assert result["name"].to_list() == ["Bank", "Bank Underground Station"]
+    assert result["lat"].to_list()[0] == pytest.approx(
+        (51.5129 + 51.5134 + 51.5132) / 3
+    )
+
+
+def test_deduplicate_naptan_does_not_merge_missing_locality_bus_stops():
+    df = pl.DataFrame(
+        {
+            "id": ["a", "b"],
+            "name": ["High Street", "High Street"],
+            "category": ["Bus stop", "Bus stop"],
+            "lat": [51.5, 52.5],
+            "lng": [-0.1, -1.1],
+            "locality": [None, None],
+        }
+    )
+
+    result = deduplicate_naptan(df)
+
+    assert len(result) == 2
diff --git a/pipeline/download/transit_network.py b/pipeline/download/transit_network.py
index 55f67ca..94dd5f5 100644
--- a/pipeline/download/transit_network.py
+++ b/pipeline/download/transit_network.py
@@ -19,6 +19,8 @@ Output directory: property-data/transit/
 """
 
 import argparse
+import csv
+import io
 import json
 import os
 import shutil
@@ -108,6 +110,30 @@ def download_bods_gtfs(output_dir: Path) -> Path:
     return dest
 
 
+def _parse_csv_line(line: bytes | str) -> list[str]:
+    """Parse a single GTFS CSV record."""
+    if isinstance(line, bytes):
+        line = line.decode("utf-8", errors="replace")
+    line = line.rstrip("\r\n")
+    if not line:
+        return []
+    return next(csv.reader([line]))
+
+
+def _format_csv_row(parts: list[str]) -> bytes:
+    """Serialize one GTFS CSV row with stable LF line endings."""
+    output = io.StringIO()
+    csv.writer(output, lineterminator="\n").writerow(parts)
+    return output.getvalue().encode("utf-8")
+
+
+def _format_csv_rows(rows: list[list[str]]) -> str:
+    output = io.StringIO()
+    writer = csv.writer(output, lineterminator="\n")
+    writer.writerows(rows)
+    return output.getvalue()
+
+
 def clean_gtfs(src: Path, dst: Path) -> None:
     """Fix R5-incompatible entries in GTFS.
 
@@ -128,8 +154,7 @@ def clean_gtfs(src: Path, dst: Path) -> None:
                 dropped = 0
                 with zin.open(info) as f:
                     header = f.readline()
-                    header_str = header.decode("utf-8").strip()
-                    cols = header_str.split(",")
+                    cols = _parse_csv_line(header)
                     arr_idx = (
                         cols.index("arrival_time") if "arrival_time" in cols else -1
                     )
@@ -143,10 +168,9 @@ def clean_gtfs(src: Path, dst: Path) -> None:
                     tmp.write(header)
 
                     for line in f:
-                        line_str = line.decode("utf-8", errors="replace").strip()
-                        if not line_str:
+                        parts = _parse_csv_line(line)
+                        if not parts:
                             continue
-                        parts = line_str.split(",")
                         skip = False
                         for idx in [arr_idx, dep_idx]:
                             if 0 <= idx < len(parts):
@@ -171,12 +195,13 @@ def clean_gtfs(src: Path, dst: Path) -> None:
 
             elif info.filename == "feed_info.txt":
                 data = zin.read(info).decode("utf-8")
-                lines = data.strip().split("\n")
-                header_line = lines[0]
-                feed_cols = header_line.split(",")
-                fixed_lines = [header_line]
-                for line in lines[1:]:
-                    parts = line.split(",")
+                rows = list(csv.reader(io.StringIO(data)))
+                if not rows:
+                    zout.writestr("feed_info.txt", data)
+                    continue
+                feed_cols = rows[0]
+                fixed_rows = [feed_cols]
+                for parts in rows[1:]:
                     for i, col_name in enumerate(feed_cols):
                         if "end_date" in col_name.lower() and i < len(parts):
                             date_val = parts[i].strip('"')
@@ -187,8 +212,8 @@ def clean_gtfs(src: Path, dst: Path) -> None:
                                     print(
                                         f"  feed_info: capped end_date {date_val} → 20991231"
                                     )
-                    fixed_lines.append(",".join(parts))
-                zout.writestr("feed_info.txt", "\n".join(fixed_lines) + "\n")
+                    fixed_rows.append(parts)
+                zout.writestr("feed_info.txt", _format_csv_rows(fixed_rows))
             else:
                 zout.writestr(info, zin.read(info))
 
@@ -237,12 +262,11 @@ def convert_high_freq_to_frequency_based(
         # Step 1: Find metro/tram route IDs
         target_route_ids: set[str] = set()
         with zin.open("routes.txt") as f:
-            header = f.readline().decode("utf-8").strip()
-            cols = header.split(",")
+            cols = _parse_csv_line(f.readline())
             route_id_idx = cols.index("route_id")
             rt_idx = cols.index("route_type")
             for line in f:
-                parts = line.decode("utf-8", errors="replace").strip().split(",")
+                parts = _parse_csv_line(line)
                 if not parts:
                     continue
                 route_type = parts[rt_idx].strip('"')
@@ -259,14 +283,13 @@ def convert_high_freq_to_frequency_based(
         # Step 2: Map target trips to grouping keys
         trip_group_key: dict[str, tuple[str, str, str]] = {}
         with zin.open("trips.txt") as f:
-            header = f.readline().decode("utf-8").strip()
-            cols = header.split(",")
+            cols = _parse_csv_line(f.readline())
             trip_id_idx = cols.index("trip_id")
             route_id_idx = cols.index("route_id")
             dir_idx = cols.index("direction_id") if "direction_id" in cols else -1
             service_idx = cols.index("service_id")
             for line in f:
-                parts = line.decode("utf-8", errors="replace").strip().split(",")
+                parts = _parse_csv_line(line)
                 if not parts:
                     continue
                 route_id = parts[route_id_idx].strip('"')
@@ -282,14 +305,13 @@ def convert_high_freq_to_frequency_based(
         trip_first_dep: dict[str, int] = {}
         trip_first_stop: dict[str, str] = {}
         with zin.open("stop_times.txt") as f:
-            header = f.readline().decode("utf-8").strip()
-            cols = header.split(",")
+            cols = _parse_csv_line(f.readline())
             trip_id_idx = cols.index("trip_id")
             dep_idx = cols.index("departure_time")
             seq_idx = cols.index("stop_sequence")
             stop_id_idx = cols.index("stop_id")
             for line in f:
-                parts = line.decode("utf-8", errors="replace").strip().split(",")
+                parts = _parse_csv_line(line)
                 if not parts:
                     continue
                 trip_id = parts[trip_id_idx].strip('"')
@@ -361,8 +383,7 @@ def convert_high_freq_to_frequency_based(
             if info.filename == "trips.txt":
                 with zin.open(info) as f:
                     header = f.readline()
-                    header_str = header.decode("utf-8").strip()
-                    cols = header_str.split(",")
+                    cols = _parse_csv_line(header)
                     trip_id_idx = cols.index("trip_id")
 
                     tmp = tempfile.NamedTemporaryFile(
@@ -370,9 +391,7 @@ def convert_high_freq_to_frequency_based(
                     )
                     tmp.write(header)
                     for line in f:
-                        parts = (
-                            line.decode("utf-8", errors="replace").strip().split(",")
-                        )
+                        parts = _parse_csv_line(line)
                         if not parts:
                             continue
                         if parts[trip_id_idx].strip('"') not in trips_to_remove:
@@ -384,8 +403,7 @@ def convert_high_freq_to_frequency_based(
             elif info.filename == "stop_times.txt":
                 with zin.open(info) as f:
                     header = f.readline()
-                    header_str = header.decode("utf-8").strip()
-                    cols = header_str.split(",")
+                    cols = _parse_csv_line(header)
                     trip_id_idx = cols.index("trip_id")
 
                     tmp = tempfile.NamedTemporaryFile(
@@ -393,9 +411,7 @@ def convert_high_freq_to_frequency_based(
                     )
                     tmp.write(header)
                     for line in f:
-                        parts = (
-                            line.decode("utf-8", errors="replace").strip().split(",")
-                        )
+                        parts = _parse_csv_line(line)
                         if not parts:
                             continue
                         if parts[trip_id_idx].strip('"') not in trips_to_remove:
@@ -535,25 +551,23 @@ def clean_national_rail_gtfs(src: Path, dst: Path) -> None:
     with zipfile.ZipFile(src, "r") as zin:
         # Load valid stop IDs
         with zin.open("stops.txt") as f:
-            header = f.readline().decode("utf-8").strip()
-            stop_id_idx = header.split(",").index("stop_id")
-            lat_idx = header.split(",").index("stop_lat")
+            cols = _parse_csv_line(f.readline())
+            stop_id_idx = cols.index("stop_id")
             for line in f:
-                parts = line.decode("utf-8", errors="replace").strip().split(",")
+                parts = _parse_csv_line(line)
                 if parts:
                     stop_ids.add(parts[stop_id_idx])
 
         # Find trips with backwards travel times
         with zin.open("stop_times.txt") as f:
-            st_header = f.readline().decode("utf-8").strip()
-            st_cols = st_header.split(",")
+            st_cols = _parse_csv_line(f.readline())
             trip_id_idx = st_cols.index("trip_id")
             dep_idx = st_cols.index("departure_time")
 
             prev_trip = ""
             prev_dep_secs = -1
             for line in f:
-                parts = line.decode("utf-8", errors="replace").strip().split(",")
+                parts = _parse_csv_line(line)
                 if not parts:
                     continue
                 trip_id = parts[trip_id_idx].strip('"')
@@ -594,8 +608,7 @@ def clean_national_rail_gtfs(src: Path, dst: Path) -> None:
             if info.filename == "stop_times.txt":
                 with zin.open(info) as f:
                     header = f.readline()
-                    header_str = header.decode("utf-8").strip()
-                    cols = header_str.split(",")
+                    cols = _parse_csv_line(header)
                     trip_id_idx = cols.index("trip_id")
                     stop_id_idx = cols.index("stop_id")
                     seq_idx = cols.index("stop_sequence")
@@ -614,10 +627,9 @@ def clean_national_rail_gtfs(src: Path, dst: Path) -> None:
                     prev_trip = ""
                     seq_counter = 0
                     for line in f:
-                        line_str = line.decode("utf-8", errors="replace").strip()
-                        if not line_str:
+                        parts = _parse_csv_line(line)
+                        if not parts:
                             continue
-                        parts = line_str.split(",")
                         trip_id = parts[trip_id_idx].strip('"')
                         stop_id = parts[stop_id_idx].strip('"')
 
@@ -651,7 +663,7 @@ def clean_national_rail_gtfs(src: Path, dst: Path) -> None:
                         if old_seq != str(seq_counter):
                             seqs_renumbered += 1
 
-                        tmp.write((",".join(parts) + "\n").encode("utf-8"))
+                        tmp.write(_format_csv_row(parts))
 
                     tmp.close()
                     zout.write(tmp.name, "stop_times.txt")
@@ -660,8 +672,7 @@ def clean_national_rail_gtfs(src: Path, dst: Path) -> None:
             elif info.filename == "stops.txt":
                 with zin.open(info) as f:
                     header = f.readline()
-                    header_str = header.decode("utf-8").strip()
-                    cols = header_str.split(",")
+                    cols = _parse_csv_line(header)
                     lat_idx = cols.index("stop_lat")
                     lon_idx = cols.index("stop_lon")
 
@@ -671,10 +682,9 @@ def clean_national_rail_gtfs(src: Path, dst: Path) -> None:
                     tmp.write(header)
 
                     for line in f:
-                        line_str = line.decode("utf-8", errors="replace").strip()
-                        if not line_str:
+                        parts = _parse_csv_line(line)
+                        if not parts:
                             continue
-                        parts = line_str.split(",")
                         try:
                             lat = float(parts[lat_idx])
                             # Fix bogus Irish CIE coordinates (South Atlantic)
@@ -685,7 +695,7 @@ def clean_national_rail_gtfs(src: Path, dst: Path) -> None:
                                 coords_fixed += 1
                         except ValueError:
                             pass
-                        tmp.write((",".join(parts) + "\n").encode("utf-8"))
+                        tmp.write(_format_csv_row(parts))
 
                     tmp.close()
                     zout.write(tmp.name, "stops.txt")
@@ -694,8 +704,7 @@ def clean_national_rail_gtfs(src: Path, dst: Path) -> None:
             elif info.filename == "routes.txt":
                 with zin.open(info) as f:
                     header = f.readline()
-                    header_str = header.decode("utf-8").strip()
-                    cols = header_str.split(",")
+                    cols = _parse_csv_line(header)
                     rt_idx = cols.index("route_type")
 
                     tmp = tempfile.NamedTemporaryFile(
@@ -704,14 +713,13 @@ def clean_national_rail_gtfs(src: Path, dst: Path) -> None:
                     tmp.write(header)
 
                     for line in f:
-                        line_str = line.decode("utf-8", errors="replace").strip()
-                        if not line_str:
+                        parts = _parse_csv_line(line)
+                        if not parts:
                             continue
-                        parts = line_str.split(",")
                         if parts[rt_idx].strip('"') == "714":
                             parts[rt_idx] = "3"
                             route_types_fixed += 1
-                        tmp.write((",".join(parts) + "\n").encode("utf-8"))
+                        tmp.write(_format_csv_row(parts))
 
                     tmp.close()
                     zout.write(tmp.name, "routes.txt")
@@ -721,8 +729,7 @@ def clean_national_rail_gtfs(src: Path, dst: Path) -> None:
                 # Remove trips that have backwards travel times
                 with zin.open(info) as f:
                     header = f.readline()
-                    header_str = header.decode("utf-8").strip()
-                    cols = header_str.split(",")
+                    cols = _parse_csv_line(header)
                     trip_id_idx = cols.index("trip_id")
 
                     tmp = tempfile.NamedTemporaryFile(
@@ -731,10 +738,9 @@ def clean_national_rail_gtfs(src: Path, dst: Path) -> None:
                     tmp.write(header)
 
                     for line in f:
-                        line_str = line.decode("utf-8", errors="replace").strip()
-                        if not line_str:
+                        parts = _parse_csv_line(line)
+                        if not parts:
                             continue
-                        parts = line_str.split(",")
                         if parts[trip_id_idx].strip('"') not in bad_trip_ids:
                             tmp.write(line)
 
@@ -746,8 +752,7 @@ def clean_national_rail_gtfs(src: Path, dst: Path) -> None:
                 # Cap end_date year to 2099
                 with zin.open(info) as f:
                     header = f.readline()
-                    header_str = header.decode("utf-8").strip()
-                    cols = header_str.split(",")
+                    cols = _parse_csv_line(header)
                     end_idx = cols.index("end_date")
 
                     tmp = tempfile.NamedTemporaryFile(
@@ -756,10 +761,9 @@ def clean_national_rail_gtfs(src: Path, dst: Path) -> None:
                     tmp.write(header)
 
                     for line in f:
-                        line_str = line.decode("utf-8", errors="replace").strip()
-                        if not line_str:
+                        parts = _parse_csv_line(line)
+                        if not parts:
                             continue
-                        parts = line_str.split(",")
                         date_val = parts[end_idx].strip('"')
                         if len(date_val) == 8:
                             try:
@@ -768,7 +772,7 @@ def clean_national_rail_gtfs(src: Path, dst: Path) -> None:
                                     parts[end_idx] = "20991231"
                             except ValueError:
                                 pass
-                        tmp.write((",".join(parts) + "\n").encode("utf-8"))
+                        tmp.write(_format_csv_row(parts))
 
                     tmp.close()
                     zout.write(tmp.name, "calendar.txt")
diff --git a/pipeline/transform/merge.py b/pipeline/transform/merge.py
index 00c0f8a..8d5a447 100644
--- a/pipeline/transform/merge.py
+++ b/pipeline/transform/merge.py
@@ -60,6 +60,10 @@ _AREA_COLUMNS = [
     "Good+ secondary schools within 5km",
     "Good+ primary schools within 2km",
     "Good+ secondary schools within 2km",
+    "Outstanding primary schools within 5km",
+    "Outstanding secondary schools within 5km",
+    "Outstanding primary schools within 2km",
+    "Outstanding secondary schools within 2km",
     # Demographics
     "Median age",
     # Politics
@@ -351,6 +355,10 @@ def _build(
                 "good_secondary_5km": "Good+ secondary schools within 5km",
                 "good_primary_2km": "Good+ primary schools within 2km",
                 "good_secondary_2km": "Good+ secondary schools within 2km",
+                "outstanding_primary_5km": "Outstanding primary schools within 5km",
+                "outstanding_secondary_5km": "Outstanding secondary schools within 5km",
+                "outstanding_primary_2km": "Outstanding primary schools within 2km",
+                "outstanding_secondary_2km": "Outstanding secondary schools within 2km",
                 "max_download_speed": "Max available download speed (Mbps)",
                 "serious_crime_avg_yr": "Serious crime (avg/yr)",
                 "minor_crime_avg_yr": "Minor crime (avg/yr)",
diff --git a/pipeline/transform/school_proximity.py b/pipeline/transform/school_proximity.py
index 71ea943..8faab45 100644
--- a/pipeline/transform/school_proximity.py
+++ b/pipeline/transform/school_proximity.py
@@ -1,4 +1,4 @@
-"""Compute good-rated school proximity counts per postcode."""
+"""Compute Ofsted-rated school proximity counts per postcode."""
 
 import argparse
 from pathlib import Path
@@ -8,14 +8,16 @@ import polars as pl
 from pipeline.utils.poi_counts import count_pois_per_postcode
 
 SCHOOL_GROUPS = {
-    "good_primary": ["good_primary"],
-    "good_secondary": ["good_secondary"],
+    "good_primary": ["good_primary", "outstanding_primary"],
+    "good_secondary": ["good_secondary", "outstanding_secondary"],
+    "outstanding_primary": ["outstanding_primary"],
+    "outstanding_secondary": ["outstanding_secondary"],
 }
 
 
 def main():
     parser = argparse.ArgumentParser(
-        description="Count good+ primary/secondary schools within 2km per postcode"
+        description="Count good+ and outstanding primary/secondary schools near each postcode"
     )
     parser.add_argument(
         "--ofsted", type=Path, required=True, help="Ofsted inspection parquet"
@@ -39,12 +41,25 @@ def main():
     )
 
     print(f"Good+ schools: {len(ofsted):,}")
+    print(
+        "Outstanding schools: "
+        f"{ofsted.filter(pl.col('Latest OEIF overall effectiveness') == '1').height:,}"
+    )
 
-    # Assign category based on phase
+    # Assign category based on phase and rating. Good+ groups include both
+    # category variants; outstanding groups count grade 1 only.
     ofsted = ofsted.with_columns(
         pl.when(pl.col("Ofsted phase") == "Primary")
-        .then(pl.lit("good_primary"))
-        .otherwise(pl.lit("good_secondary"))
+        .then(
+            pl.when(pl.col("Latest OEIF overall effectiveness") == "1")
+            .then(pl.lit("outstanding_primary"))
+            .otherwise(pl.lit("good_primary"))
+        )
+        .otherwise(
+            pl.when(pl.col("Latest OEIF overall effectiveness") == "1")
+            .then(pl.lit("outstanding_secondary"))
+            .otherwise(pl.lit("good_secondary"))
+        )
         .alias("category")
     ).select(
         pl.col("Postcode").alias("postcode"),
diff --git a/screenshot/package.json b/screenshot/package.json
index 7c8b961..a103db2 100644
--- a/screenshot/package.json
+++ b/screenshot/package.json
@@ -4,6 +4,7 @@
   "private": true,
   "scripts": {
     "build": "tsc",
+    "test": "npm run build && node --test dist/**/*.test.js",
     "start": "node dist/server.js",
     "dev": "tsc --watch & node --watch dist/server.js"
   },
diff --git a/screenshot/src/server.ts b/screenshot/src/server.ts
index 050c6b0..c801259 100644
--- a/screenshot/src/server.ts
+++ b/screenshot/src/server.ts
@@ -1,10 +1,14 @@
-import express from 'express';
+import express, { type Request } from 'express';
 import { ScreenshotCache } from './cache.js';
 import { takeScreenshot, checkWebGL, closeBrowser, initialize } from './screenshot.js';
+import { buildScreenshotRequest, ValidationError } from './validation.js';
 
 const PORT = parseInt(process.env.PORT || '8002', 10);
 const APP_URL = process.env.APP_URL;
 const CACHE_DIR = process.env.CACHE_DIR;
+const SCREENSHOT_CONCURRENCY = parsePositiveIntEnv('SCREENSHOT_CONCURRENCY', 3);
+const RATE_LIMIT_WINDOW_MS = parsePositiveIntEnv('SCREENSHOT_RATE_WINDOW_MS', 60_000);
+const RATE_LIMIT_MAX = parsePositiveIntEnv('SCREENSHOT_RATE_LIMIT', 30);
 
 if (!APP_URL) {
   console.error('Error: APP_URL environment variable is required');
@@ -18,6 +22,58 @@ if (!CACHE_DIR) {
 
 const cache = new ScreenshotCache(CACHE_DIR);
 const app = express();
+app.set('trust proxy', true);
+
+let activeScreenshots = 0;
+let lastRateLimitPrune = 0;
+const rateLimitBuckets = new Map<string, { count: number; resetAt: number }>();
+
+function parsePositiveIntEnv(name: string, fallback: number): number {
+  const value = Number.parseInt(process.env[name] || '', 10);
+  return Number.isFinite(value) && value > 0 ? value : fallback;
+}
+
+function acquireScreenshotSlot(): (() => void) | null {
+  if (activeScreenshots >= SCREENSHOT_CONCURRENCY) {
+    return null;
+  }
+  activeScreenshots += 1;
+  let released = false;
+  return () => {
+    if (released) return;
+    released = true;
+    activeScreenshots = Math.max(0, activeScreenshots - 1);
+  };
+}
+
+function rateLimitKey(req: Request): string {
+  const forwardedFor = req.get('x-forwarded-for')?.split(',')[0]?.trim();
+  return forwardedFor || req.ip || req.socket.remoteAddress || 'unknown';
+}
+
+function allowScreenshotRequest(req: Request): boolean {
+  const now = Date.now();
+  if (now - lastRateLimitPrune > RATE_LIMIT_WINDOW_MS) {
+    lastRateLimitPrune = now;
+    for (const [key, bucket] of rateLimitBuckets) {
+      if (bucket.resetAt <= now) {
+        rateLimitBuckets.delete(key);
+      }
+    }
+  }
+
+  const key = rateLimitKey(req);
+  let bucket = rateLimitBuckets.get(key);
+  if (!bucket || bucket.resetAt <= now) {
+    bucket = { count: 0, resetAt: now + RATE_LIMIT_WINDOW_MS };
+    rateLimitBuckets.set(key, bucket);
+  }
+  if (bucket.count >= RATE_LIMIT_MAX) {
+    return false;
+  }
+  bucket.count += 1;
+  return true;
+}
 
 app.get('/health', (_req, res) => {
   res.status(200).send('ok');
@@ -33,28 +89,9 @@ app.get('/debug', async (_req, res) => {
 });
 
 app.get('/screenshot', async (req, res) => {
+  let releaseSlot: (() => void) | null = null;
   try {
-    const qs = new URLSearchParams();
-    for (const key of ['lat', 'lon', 'zoom', 'tab', 'og']) {
-      const val = req.query[key];
-      if (typeof val === 'string' && val) {
-        qs.set(key, val);
-      }
-    }
-    // Repeated params: filter, poi, tt (travel time)
-    for (const key of ['filter', 'poi', 'tt']) {
-      const val = req.query[key];
-      if (typeof val === 'string' && val) {
-        qs.append(key, val);
-      } else if (Array.isArray(val)) {
-        for (const v of val) {
-          if (typeof v === 'string' && v) qs.append(key, v);
-        }
-      }
-    }
-
-    // Extract path param (used for non-root pages like /invite/CODE)
-    const pagePath = typeof req.query.path === 'string' && req.query.path ? req.query.path : '/';
+    const { pagePath, qs } = buildScreenshotRequest(req.query as Record<string, unknown>);
     if (pagePath !== '/') qs.set('path', pagePath);
 
     // Include auth status in cache key so authenticated screenshots
@@ -75,6 +112,17 @@ app.get('/screenshot', async (req, res) => {
       return;
     }
 
+    if (!allowScreenshotRequest(req)) {
+      res.status(429).json({ error: 'Screenshot rate limit exceeded' });
+      return;
+    }
+
+    releaseSlot = acquireScreenshotSlot();
+    if (!releaseSlot) {
+      res.status(503).json({ error: 'Screenshot service busy' });
+      return;
+    }
+
     // Build the URL for the frontend in screenshot mode
     qs.set('screenshot', '1');
     const url = `${APP_URL}${pagePath}?${qs}`;
@@ -90,8 +138,14 @@ app.get('/screenshot', async (req, res) => {
     res.setHeader('X-Cache', 'MISS');
     res.send(jpeg);
   } catch (err) {
+    if (err instanceof ValidationError) {
+      res.status(err.status).json({ error: err.message });
+      return;
+    }
     console.error('Screenshot failed:', err);
     res.status(500).json({ error: 'Screenshot failed' });
+  } finally {
+    releaseSlot?.();
   }
 });
 
@@ -99,6 +153,8 @@ const server = app.listen(PORT, () => {
   console.log(`Screenshot service listening on port ${PORT}`);
   console.log(`  APP_URL: ${APP_URL}`);
   console.log(`  CACHE_DIR: ${CACHE_DIR}`);
+  console.log(`  SCREENSHOT_CONCURRENCY: ${SCREENSHOT_CONCURRENCY}`);
+  console.log(`  SCREENSHOT_RATE_LIMIT: ${RATE_LIMIT_MAX}/${RATE_LIMIT_WINDOW_MS}ms`);
 
   // Pre-warm browser and populate network cache in background.
   // The health endpoint is available immediately; screenshot requests
diff --git a/server-rs/logs/server.log.2026-04-04 b/server-rs/logs/server.log.2026-04-04
index 48a18de..9f47bc1 100644
--- a/server-rs/logs/server.log.2026-04-04
+++ b/server-rs/logs/server.log.2026-04-04
@@ -1953,3 +1953,6 @@
 2026-04-04T21:54:19.870055Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
 2026-04-04T21:54:22.182709Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15203393
 2026-04-04T22:00:48.160218Z  INFO property_map_server: Prometheus metrics initialized
+2026-04-04T22:12:50.835405Z  INFO property_map_server: Prometheus metrics initialized
+2026-04-04T22:13:40.021088Z  INFO property_map_server: Prometheus metrics initialized
+2026-04-04T22:14:09.136995Z  INFO property_map_server: Prometheus metrics initialized
diff --git a/server-rs/logs/server.log.2026-05-04 b/server-rs/logs/server.log.2026-05-04
new file mode 100644
index 0000000..1f641a0
--- /dev/null
+++ b/server-rs/logs/server.log.2026-05-04
@@ -0,0 +1,1315 @@
+2026-05-04T12:51:54.299296Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T12:51:54.299470Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T12:51:54.299479Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T12:51:54.399081Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T12:51:54.399094Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T12:51:56.991776Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T12:51:56.991808Z  INFO property_map_server::data::property: Feature columns from config numeric=59 enums=6 total=65
+2026-05-04T12:51:58.691248Z  INFO property_map_server::data::property: Combined data selected rows=15268176
+2026-05-04T12:51:58.880744Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T12:51:59.306116Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T12:52:00.487273Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T12:52:01.932732Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T12:52:03.150703Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T12:52:06.054483Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1833881
+2026-05-04T12:52:06.054492Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T12:52:06.955063Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T12:52:17.563487Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T12:52:17.563649Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T12:52:17.563658Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T12:52:17.627898Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T12:52:17.627907Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T12:52:19.921551Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T12:52:19.921584Z  INFO property_map_server::data::property: Feature columns from config numeric=59 enums=6 total=65
+2026-05-04T12:52:20.891880Z  INFO property_map_server::data::property: Combined data selected rows=15268176
+2026-05-04T12:52:21.055515Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T12:52:21.442079Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T12:52:22.672016Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T12:52:24.017673Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T12:52:25.233745Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T12:52:28.250017Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1833881
+2026-05-04T12:52:28.250026Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T12:52:29.092973Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T12:52:34.404228Z  INFO property_map_server::data::property: Transposing to row-major layout (spatially sorted, quantized to u16)
+2026-05-04T12:52:37.077568Z  INFO property_map_server::data::property: Data loading complete
+2026-05-04T12:52:38.149745Z  INFO property_map_server: Property data loaded rows=15268176 features=65 enums=6
+2026-05-04T12:52:38.149754Z  INFO property_map_server: Building spatial grid index (0.01° cells)
+2026-05-04T12:52:38.244960Z  INFO property_map_server: Precomputing H3 cells at resolution 12
+2026-05-04T12:52:38.244968Z  INFO property_map_server::data::property: Precomputing H3 cells at resolution 12
+2026-05-04T12:52:38.611843Z  INFO property_map_server::data::property: H3 precomputation complete (15268176 cells)
+2026-05-04T12:52:38.611904Z  INFO property_map_server: Loading POI data from /app/data/filtered_uk_pois.parquet
+2026-05-04T12:52:38.611916Z  INFO property_map_server::data::poi: Loading POI data from "/app/data/filtered_uk_pois.parquet"...
+2026-05-04T12:52:38.644304Z  INFO property_map_server::data::poi: Loaded 552015 POIs
+2026-05-04T12:52:38.732308Z  INFO property_map_server::data::poi: POI string columns interned category_unique=74 group_unique=11 emoji_unique=71
+2026-05-04T12:52:38.732779Z  INFO property_map_server::data::poi: POI data loading complete.
+2026-05-04T12:52:38.762111Z  INFO property_map_server: POI data loaded pois=552015
+2026-05-04T12:52:38.762119Z  INFO property_map_server: Building POI spatial grid index
+2026-05-04T12:52:38.766741Z  INFO property_map_server: Loading place data from /app/data/places.parquet
+2026-05-04T12:52:38.766756Z  INFO property_map_server::data::places: Loading place data from "/app/data/places.parquet"...
+2026-05-04T12:52:38.776708Z  INFO property_map_server::data::places: Loaded 3474 places
+2026-05-04T12:52:38.777464Z  INFO property_map_server::data::places: Place data loaded places=3474 types=2 with_population=71 with_city=3392
+2026-05-04T12:52:38.777525Z  INFO property_map_server: Place data loaded places=3474
+2026-05-04T12:52:38.777546Z  INFO property_map_server: Loading postcode boundaries from /app/data/postcode_boundaries
+2026-05-04T12:52:38.777551Z  INFO property_map_server::data::postcodes: Loading postcode boundaries from "/app/data/postcode_boundaries"
+2026-05-04T12:52:38.785369Z  INFO property_map_server::data::postcodes: Found GeoJSON files to process files=2361
+2026-05-04T12:52:45.693685Z  INFO property_map_server::data::postcodes: Postcode boundary data ready postcodes=1490140
+2026-05-04T12:52:45.926784Z  INFO property_map_server: Postcode boundaries loaded postcodes=1490140
+2026-05-04T12:52:46.062735Z  INFO property_map_server::data::postcodes: Outcode data derived from postcodes outcodes=2361
+2026-05-04T12:52:46.062790Z  INFO property_map_server: Loading PMTiles from /app/data/uk.pmtiles
+2026-05-04T12:52:46.063005Z  INFO property_map_server: PMTiles loaded successfully
+2026-05-04T12:52:46.098049Z  INFO property_map_server: No --dist provided; static serving and OG injection disabled
+2026-05-04T12:52:46.123884Z  INFO property_map_server: Screenshot service configured: http://screenshot:8002
+2026-05-04T12:52:46.124028Z  INFO property_map_server: Precomputed features response groups=8
+2026-05-04T12:52:46.124046Z  INFO property_map_server: PocketBase configured: http://pocketbase:8090
+2026-05-04T12:52:46.284801Z  INFO property_map_server::pocketbase: PocketBase users collection already has all required fields
+2026-05-04T12:52:46.300423Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_searches' API rules updated
+2026-05-04T12:52:46.333934Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_properties' API rules updated
+2026-05-04T12:52:48.292798Z  INFO property_map_server::pocketbase: PocketBase meta.appURL set to https://perfect-postcodes.co.uk/pb
+2026-05-04T12:52:48.307894Z  INFO property_map_server::pocketbase: PocketBase OAuth configured on users collection
+2026-05-04T12:52:48.307946Z  INFO property_map_server: Gemini configured (model: gemini-3-flash-preview)
+2026-05-04T12:52:48.307965Z  INFO property_map_server: Loading travel time data from /app/data/travel-times
+2026-05-04T12:52:48.342530Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="bicycle" destinations=2753
+2026-05-04T12:52:48.364756Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="walking" destinations=2753
+2026-05-04T12:52:48.384592Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="car" destinations=2753
+2026-05-04T12:52:48.438429Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="transit" destinations=2752
+2026-05-04T12:52:48.450094Z  INFO property_map_server: Travel time store loaded modes=4
+2026-05-04T12:52:48.450146Z  INFO property_map_server: Precomputed AI filters system prompt
+2026-05-04T12:52:53.687355Z  INFO property_map_server: All memory pages locked (mlockall)
+2026-05-04T12:52:53.687401Z  INFO property_map_server: Server listening on 0.0.0.0:8001
+2026-05-04T12:57:19.816376Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T12:57:19.816536Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T12:57:19.816546Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T12:57:19.880067Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T12:57:19.880079Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T12:57:22.177645Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T12:57:22.177683Z  INFO property_map_server::data::property: Feature columns from config numeric=59 enums=6 total=65
+2026-05-04T12:57:23.211707Z  INFO property_map_server::data::property: Combined data selected rows=15268176
+2026-05-04T12:57:23.383759Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T12:57:23.757383Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T12:57:24.952119Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T12:57:26.300478Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T12:57:27.509253Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T12:57:30.316335Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1833881
+2026-05-04T12:57:30.316344Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T12:57:31.178507Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T12:57:36.575081Z  INFO property_map_server::data::property: Transposing to row-major layout (spatially sorted, quantized to u16)
+2026-05-04T12:57:39.220220Z  INFO property_map_server::data::property: Data loading complete
+2026-05-04T12:57:40.328129Z  INFO property_map_server: Property data loaded rows=15268176 features=65 enums=6
+2026-05-04T12:57:40.328139Z  INFO property_map_server: Building spatial grid index (0.01° cells)
+2026-05-04T12:57:40.422304Z  INFO property_map_server: Precomputing H3 cells at resolution 12
+2026-05-04T12:57:40.422311Z  INFO property_map_server::data::property: Precomputing H3 cells at resolution 12
+2026-05-04T12:57:40.805392Z  INFO property_map_server::data::property: H3 precomputation complete (15268176 cells)
+2026-05-04T12:57:40.805427Z  INFO property_map_server: Loading POI data from /app/data/filtered_uk_pois.parquet
+2026-05-04T12:57:40.805439Z  INFO property_map_server::data::poi: Loading POI data from "/app/data/filtered_uk_pois.parquet"...
+2026-05-04T12:57:40.823723Z  INFO property_map_server::data::poi: Loaded 552015 POIs
+2026-05-04T12:57:40.917268Z  INFO property_map_server::data::poi: POI string columns interned category_unique=74 group_unique=11 emoji_unique=71
+2026-05-04T12:57:40.917715Z  INFO property_map_server::data::poi: POI data loading complete.
+2026-05-04T12:57:40.952279Z  INFO property_map_server: POI data loaded pois=552015
+2026-05-04T12:57:40.952287Z  INFO property_map_server: Building POI spatial grid index
+2026-05-04T12:57:40.957145Z  INFO property_map_server: Loading place data from /app/data/places.parquet
+2026-05-04T12:57:40.957160Z  INFO property_map_server::data::places: Loading place data from "/app/data/places.parquet"...
+2026-05-04T12:57:40.957595Z  INFO property_map_server::data::places: Loaded 3474 places
+2026-05-04T12:57:40.958354Z  INFO property_map_server::data::places: Place data loaded places=3474 types=2 with_population=71 with_city=3392
+2026-05-04T12:57:40.958419Z  INFO property_map_server: Place data loaded places=3474
+2026-05-04T12:57:40.958428Z  INFO property_map_server: Loading postcode boundaries from /app/data/postcode_boundaries
+2026-05-04T12:57:40.958432Z  INFO property_map_server::data::postcodes: Loading postcode boundaries from "/app/data/postcode_boundaries"
+2026-05-04T12:57:40.959290Z  INFO property_map_server::data::postcodes: Found GeoJSON files to process files=2361
+2026-05-04T12:57:47.597879Z  INFO property_map_server::data::postcodes: Postcode boundary data ready postcodes=1490140
+2026-05-04T12:57:47.813811Z  INFO property_map_server: Postcode boundaries loaded postcodes=1490140
+2026-05-04T12:57:47.950679Z  INFO property_map_server::data::postcodes: Outcode data derived from postcodes outcodes=2361
+2026-05-04T12:57:47.950734Z  INFO property_map_server: Loading PMTiles from /app/data/uk.pmtiles
+2026-05-04T12:57:47.950985Z  INFO property_map_server: PMTiles loaded successfully
+2026-05-04T12:57:47.985584Z  INFO property_map_server: No --dist provided; static serving and OG injection disabled
+2026-05-04T12:57:48.010443Z  INFO property_map_server: Screenshot service configured: http://screenshot:8002
+2026-05-04T12:57:48.010592Z  INFO property_map_server: Precomputed features response groups=8
+2026-05-04T12:57:48.010604Z  INFO property_map_server: PocketBase configured: http://pocketbase:8090
+2026-05-04T12:57:48.060891Z  INFO property_map_server::pocketbase: PocketBase users collection already has all required fields
+2026-05-04T12:57:48.064222Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_searches' API rules updated
+2026-05-04T12:57:48.067247Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_properties' API rules updated
+2026-05-04T12:57:48.143703Z  INFO property_map_server::pocketbase: PocketBase meta.appURL set to https://perfect-postcodes.co.uk/pb
+2026-05-04T12:57:48.147295Z  INFO property_map_server::pocketbase: PocketBase OAuth configured on users collection
+2026-05-04T12:57:48.147320Z  INFO property_map_server: Gemini configured (model: gemini-3-flash-preview)
+2026-05-04T12:57:48.147337Z  INFO property_map_server: Loading travel time data from /app/data/travel-times
+2026-05-04T12:57:48.148793Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="bicycle" destinations=2753
+2026-05-04T12:57:48.149997Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="walking" destinations=2753
+2026-05-04T12:57:48.151273Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="car" destinations=2753
+2026-05-04T12:57:48.152376Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="transit" destinations=2752
+2026-05-04T12:57:48.152390Z  INFO property_map_server: Travel time store loaded modes=4
+2026-05-04T12:57:48.152427Z  INFO property_map_server: Precomputed AI filters system prompt
+2026-05-04T12:57:49.549557Z  INFO property_map_server: All memory pages locked (mlockall)
+2026-05-04T12:57:49.549595Z  INFO property_map_server: Server listening on 0.0.0.0:8001
+2026-05-04T12:58:49.973793Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T12:58:49.973949Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T12:58:49.973962Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T12:58:50.039388Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T12:58:50.039399Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T12:58:52.337564Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T12:58:52.337596Z  INFO property_map_server::data::property: Feature columns from config numeric=59 enums=6 total=65
+2026-05-04T12:58:53.362969Z  INFO property_map_server::data::property: Combined data selected rows=15268176
+2026-05-04T12:58:53.538150Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T12:58:53.918606Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T12:58:55.144004Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T12:58:56.529429Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T12:58:57.738180Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T12:59:00.591500Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1833881
+2026-05-04T12:59:00.591509Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T12:59:03.939893Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T12:59:30.967286Z  INFO property_map_server::data::property: Transposing to row-major layout (spatially sorted, quantized to u16)
+2026-05-04T13:00:11.386277Z  INFO property_map_server::data::property: Data loading complete
+2026-05-04T13:00:12.601271Z  INFO property_map_server: Property data loaded rows=15268176 features=65 enums=6
+2026-05-04T13:00:12.601280Z  INFO property_map_server: Building spatial grid index (0.01° cells)
+2026-05-04T13:00:12.710986Z  INFO property_map_server: Precomputing H3 cells at resolution 12
+2026-05-04T13:00:12.710997Z  INFO property_map_server::data::property: Precomputing H3 cells at resolution 12
+2026-05-04T13:00:13.132610Z  INFO property_map_server::data::property: H3 precomputation complete (15268176 cells)
+2026-05-04T13:00:13.132655Z  INFO property_map_server: Loading POI data from /app/data/filtered_uk_pois.parquet
+2026-05-04T13:00:13.132670Z  INFO property_map_server::data::poi: Loading POI data from "/app/data/filtered_uk_pois.parquet"...
+2026-05-04T13:00:13.152977Z  INFO property_map_server::data::poi: Loaded 552015 POIs
+2026-05-04T13:00:13.245086Z  INFO property_map_server::data::poi: POI string columns interned category_unique=74 group_unique=11 emoji_unique=71
+2026-05-04T13:00:13.245674Z  INFO property_map_server::data::poi: POI data loading complete.
+2026-05-04T13:00:13.279310Z  INFO property_map_server: POI data loaded pois=552015
+2026-05-04T13:00:13.279321Z  INFO property_map_server: Building POI spatial grid index
+2026-05-04T13:00:13.284977Z  INFO property_map_server: Loading place data from /app/data/places.parquet
+2026-05-04T13:00:13.284986Z  INFO property_map_server::data::places: Loading place data from "/app/data/places.parquet"...
+2026-05-04T13:00:13.285521Z  INFO property_map_server::data::places: Loaded 3474 places
+2026-05-04T13:00:13.286462Z  INFO property_map_server::data::places: Place data loaded places=3474 types=2 with_population=71 with_city=3392
+2026-05-04T13:00:13.286526Z  INFO property_map_server: Place data loaded places=3474
+2026-05-04T13:00:13.286539Z  INFO property_map_server: Loading postcode boundaries from /app/data/postcode_boundaries
+2026-05-04T13:00:13.286552Z  INFO property_map_server::data::postcodes: Loading postcode boundaries from "/app/data/postcode_boundaries"
+2026-05-04T13:00:13.287401Z  INFO property_map_server::data::postcodes: Found GeoJSON files to process files=2361
+2026-05-04T13:00:20.403636Z  INFO property_map_server::data::postcodes: Postcode boundary data ready postcodes=1490140
+2026-05-04T13:00:20.625816Z  INFO property_map_server: Postcode boundaries loaded postcodes=1490140
+2026-05-04T13:00:20.763245Z  INFO property_map_server::data::postcodes: Outcode data derived from postcodes outcodes=2361
+2026-05-04T13:00:20.763311Z  INFO property_map_server: Loading PMTiles from /app/data/uk.pmtiles
+2026-05-04T13:00:20.763609Z  INFO property_map_server: PMTiles loaded successfully
+2026-05-04T13:00:20.798105Z  INFO property_map_server: No --dist provided; static serving and OG injection disabled
+2026-05-04T13:00:20.822916Z  INFO property_map_server: Screenshot service configured: http://screenshot:8002
+2026-05-04T13:00:20.823064Z  INFO property_map_server: Precomputed features response groups=8
+2026-05-04T13:00:20.823077Z  INFO property_map_server: PocketBase configured: http://pocketbase:8090
+2026-05-04T13:00:20.870827Z  INFO property_map_server::pocketbase: PocketBase users collection already has all required fields
+2026-05-04T13:00:20.873223Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_searches' API rules updated
+2026-05-04T13:00:20.877129Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_properties' API rules updated
+2026-05-04T13:00:20.960856Z  INFO property_map_server::pocketbase: PocketBase meta.appURL set to https://perfect-postcodes.co.uk/pb
+2026-05-04T13:00:20.967763Z  INFO property_map_server::pocketbase: PocketBase OAuth configured on users collection
+2026-05-04T13:00:20.967783Z  INFO property_map_server: Gemini configured (model: gemini-3-flash-preview)
+2026-05-04T13:00:20.967797Z  INFO property_map_server: Loading travel time data from /app/data/travel-times
+2026-05-04T13:00:20.977614Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="bicycle" destinations=2753
+2026-05-04T13:00:20.996128Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="walking" destinations=2753
+2026-05-04T13:00:21.005922Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="car" destinations=2753
+2026-05-04T13:00:21.026987Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="transit" destinations=2752
+2026-05-04T13:00:21.027020Z  INFO property_map_server: Travel time store loaded modes=4
+2026-05-04T13:00:21.027073Z  INFO property_map_server: Precomputed AI filters system prompt
+2026-05-04T13:00:22.476387Z  INFO property_map_server: All memory pages locked (mlockall)
+2026-05-04T13:00:22.476426Z  INFO property_map_server: Server listening on 0.0.0.0:8001
+2026-05-04T13:01:14.389067Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T13:01:14.389217Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T13:01:14.389227Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T13:01:14.457100Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T13:01:14.457110Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T13:01:16.821701Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T13:01:16.821734Z  INFO property_map_server::data::property: Feature columns from config numeric=59 enums=6 total=65
+2026-05-04T13:01:17.872493Z  INFO property_map_server::data::property: Combined data selected rows=15268176
+2026-05-04T13:01:18.032071Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T13:01:18.435137Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T13:01:19.617346Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T13:01:20.974878Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T13:01:22.196822Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T13:01:24.899604Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1833881
+2026-05-04T13:01:24.899612Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T13:01:25.745555Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T13:01:31.018488Z  INFO property_map_server::data::property: Transposing to row-major layout (spatially sorted, quantized to u16)
+2026-05-04T13:01:33.565804Z  INFO property_map_server::data::property: Data loading complete
+2026-05-04T13:01:34.682628Z  INFO property_map_server: Property data loaded rows=15268176 features=65 enums=6
+2026-05-04T13:01:34.682637Z  INFO property_map_server: Building spatial grid index (0.01° cells)
+2026-05-04T13:01:34.775608Z  INFO property_map_server: Precomputing H3 cells at resolution 12
+2026-05-04T13:01:34.775617Z  INFO property_map_server::data::property: Precomputing H3 cells at resolution 12
+2026-05-04T13:01:35.156061Z  INFO property_map_server::data::property: H3 precomputation complete (15268176 cells)
+2026-05-04T13:01:35.156088Z  INFO property_map_server: Loading POI data from /app/data/filtered_uk_pois.parquet
+2026-05-04T13:01:35.156094Z  INFO property_map_server::data::poi: Loading POI data from "/app/data/filtered_uk_pois.parquet"...
+2026-05-04T13:01:35.178565Z  INFO property_map_server::data::poi: Loaded 552015 POIs
+2026-05-04T13:01:35.267553Z  INFO property_map_server::data::poi: POI string columns interned category_unique=74 group_unique=11 emoji_unique=71
+2026-05-04T13:01:35.268020Z  INFO property_map_server::data::poi: POI data loading complete.
+2026-05-04T13:01:35.300867Z  INFO property_map_server: POI data loaded pois=552015
+2026-05-04T13:01:35.300875Z  INFO property_map_server: Building POI spatial grid index
+2026-05-04T13:01:35.305730Z  INFO property_map_server: Loading place data from /app/data/places.parquet
+2026-05-04T13:01:35.305745Z  INFO property_map_server::data::places: Loading place data from "/app/data/places.parquet"...
+2026-05-04T13:01:35.306229Z  INFO property_map_server::data::places: Loaded 3474 places
+2026-05-04T13:01:35.307093Z  INFO property_map_server::data::places: Place data loaded places=3474 types=2 with_population=71 with_city=3392
+2026-05-04T13:01:35.307151Z  INFO property_map_server: Place data loaded places=3474
+2026-05-04T13:01:35.307162Z  INFO property_map_server: Loading postcode boundaries from /app/data/postcode_boundaries
+2026-05-04T13:01:35.307173Z  INFO property_map_server::data::postcodes: Loading postcode boundaries from "/app/data/postcode_boundaries"
+2026-05-04T13:01:35.308228Z  INFO property_map_server::data::postcodes: Found GeoJSON files to process files=2361
+2026-05-04T13:01:41.949607Z  INFO property_map_server::data::postcodes: Postcode boundary data ready postcodes=1490140
+2026-05-04T13:01:42.174459Z  INFO property_map_server: Postcode boundaries loaded postcodes=1490140
+2026-05-04T13:01:42.313171Z  INFO property_map_server::data::postcodes: Outcode data derived from postcodes outcodes=2361
+2026-05-04T13:01:42.313227Z  INFO property_map_server: Loading PMTiles from /app/data/uk.pmtiles
+2026-05-04T13:01:42.313457Z  INFO property_map_server: PMTiles loaded successfully
+2026-05-04T13:01:42.349807Z  INFO property_map_server: No --dist provided; static serving and OG injection disabled
+2026-05-04T13:01:42.375184Z  INFO property_map_server: Screenshot service configured: http://screenshot:8002
+2026-05-04T13:01:42.375324Z  INFO property_map_server: Precomputed features response groups=8
+2026-05-04T13:01:42.375336Z  INFO property_map_server: PocketBase configured: http://pocketbase:8090
+2026-05-04T13:01:42.421986Z  INFO property_map_server::pocketbase: PocketBase users collection already has all required fields
+2026-05-04T13:01:42.424365Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_searches' API rules updated
+2026-05-04T13:01:42.428391Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_properties' API rules updated
+2026-05-04T13:01:42.495005Z  INFO property_map_server::pocketbase: PocketBase meta.appURL set to https://perfect-postcodes.co.uk/pb
+2026-05-04T13:01:42.498898Z  INFO property_map_server::pocketbase: PocketBase OAuth configured on users collection
+2026-05-04T13:01:42.498918Z  INFO property_map_server: Gemini configured (model: gemini-3-flash-preview)
+2026-05-04T13:01:42.498930Z  INFO property_map_server: Loading travel time data from /app/data/travel-times
+2026-05-04T13:01:42.500404Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="bicycle" destinations=2753
+2026-05-04T13:01:42.501646Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="walking" destinations=2753
+2026-05-04T13:01:42.503085Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="car" destinations=2753
+2026-05-04T13:01:42.504250Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="transit" destinations=2752
+2026-05-04T13:01:42.504268Z  INFO property_map_server: Travel time store loaded modes=4
+2026-05-04T13:01:42.504309Z  INFO property_map_server: Precomputed AI filters system prompt
+2026-05-04T13:01:43.910431Z  INFO property_map_server: All memory pages locked (mlockall)
+2026-05-04T13:01:43.910470Z  INFO property_map_server: Server listening on 0.0.0.0:8001
+2026-05-04T13:02:14.973154Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T13:02:14.973328Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T13:02:14.973342Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T13:02:15.040480Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T13:02:15.040490Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T13:02:17.364303Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T13:02:17.364333Z  INFO property_map_server::data::property: Feature columns from config numeric=59 enums=6 total=65
+2026-05-04T13:02:18.386739Z  INFO property_map_server::data::property: Combined data selected rows=15268176
+2026-05-04T13:02:18.554113Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T13:02:18.936093Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T13:02:20.130714Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T13:02:21.467247Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T13:02:22.691007Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T13:02:25.522672Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1833881
+2026-05-04T13:02:25.522679Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T13:02:26.395689Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T13:02:32.134352Z  INFO property_map_server::data::property: Transposing to row-major layout (spatially sorted, quantized to u16)
+2026-05-04T13:02:34.707433Z  INFO property_map_server::data::property: Data loading complete
+2026-05-04T13:02:35.788590Z  INFO property_map_server: Property data loaded rows=15268176 features=65 enums=6
+2026-05-04T13:02:35.788599Z  INFO property_map_server: Building spatial grid index (0.01° cells)
+2026-05-04T13:02:35.885076Z  INFO property_map_server: Precomputing H3 cells at resolution 12
+2026-05-04T13:02:35.885084Z  INFO property_map_server::data::property: Precomputing H3 cells at resolution 12
+2026-05-04T13:02:36.272028Z  INFO property_map_server::data::property: H3 precomputation complete (15268176 cells)
+2026-05-04T13:02:36.272053Z  INFO property_map_server: Loading POI data from /app/data/filtered_uk_pois.parquet
+2026-05-04T13:02:36.272060Z  INFO property_map_server::data::poi: Loading POI data from "/app/data/filtered_uk_pois.parquet"...
+2026-05-04T13:02:36.289853Z  INFO property_map_server::data::poi: Loaded 552015 POIs
+2026-05-04T13:02:36.379352Z  INFO property_map_server::data::poi: POI string columns interned category_unique=74 group_unique=11 emoji_unique=71
+2026-05-04T13:02:36.379819Z  INFO property_map_server::data::poi: POI data loading complete.
+2026-05-04T13:02:36.410997Z  INFO property_map_server: POI data loaded pois=552015
+2026-05-04T13:02:36.411003Z  INFO property_map_server: Building POI spatial grid index
+2026-05-04T13:02:36.415679Z  INFO property_map_server: Loading place data from /app/data/places.parquet
+2026-05-04T13:02:36.415686Z  INFO property_map_server::data::places: Loading place data from "/app/data/places.parquet"...
+2026-05-04T13:02:36.416161Z  INFO property_map_server::data::places: Loaded 3474 places
+2026-05-04T13:02:36.416893Z  INFO property_map_server::data::places: Place data loaded places=3474 types=2 with_population=71 with_city=3392
+2026-05-04T13:02:36.416947Z  INFO property_map_server: Place data loaded places=3474
+2026-05-04T13:02:36.416957Z  INFO property_map_server: Loading postcode boundaries from /app/data/postcode_boundaries
+2026-05-04T13:02:36.416960Z  INFO property_map_server::data::postcodes: Loading postcode boundaries from "/app/data/postcode_boundaries"
+2026-05-04T13:02:36.417749Z  INFO property_map_server::data::postcodes: Found GeoJSON files to process files=2361
+2026-05-04T13:02:42.887641Z  INFO property_map_server::data::postcodes: Postcode boundary data ready postcodes=1490140
+2026-05-04T13:02:43.118870Z  INFO property_map_server: Postcode boundaries loaded postcodes=1490140
+2026-05-04T13:02:43.258789Z  INFO property_map_server::data::postcodes: Outcode data derived from postcodes outcodes=2361
+2026-05-04T13:02:43.258842Z  INFO property_map_server: Loading PMTiles from /app/data/uk.pmtiles
+2026-05-04T13:02:43.259031Z  INFO property_map_server: PMTiles loaded successfully
+2026-05-04T13:02:43.294179Z  INFO property_map_server: No --dist provided; static serving and OG injection disabled
+2026-05-04T13:02:43.319055Z  INFO property_map_server: Screenshot service configured: http://screenshot:8002
+2026-05-04T13:02:43.319207Z  INFO property_map_server: Precomputed features response groups=8
+2026-05-04T13:02:43.319218Z  INFO property_map_server: PocketBase configured: http://pocketbase:8090
+2026-05-04T13:02:43.365975Z  INFO property_map_server::pocketbase: PocketBase users collection already has all required fields
+2026-05-04T13:02:43.369699Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_searches' API rules updated
+2026-05-04T13:02:43.372755Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_properties' API rules updated
+2026-05-04T13:02:43.437831Z  INFO property_map_server::pocketbase: PocketBase meta.appURL set to https://perfect-postcodes.co.uk/pb
+2026-05-04T13:02:43.441613Z  INFO property_map_server::pocketbase: PocketBase OAuth configured on users collection
+2026-05-04T13:02:43.441643Z  INFO property_map_server: Gemini configured (model: gemini-3-flash-preview)
+2026-05-04T13:02:43.441660Z  INFO property_map_server: Loading travel time data from /app/data/travel-times
+2026-05-04T13:02:43.442974Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="bicycle" destinations=2753
+2026-05-04T13:02:43.444237Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="walking" destinations=2753
+2026-05-04T13:02:43.445668Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="car" destinations=2753
+2026-05-04T13:02:43.446789Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="transit" destinations=2752
+2026-05-04T13:02:43.446810Z  INFO property_map_server: Travel time store loaded modes=4
+2026-05-04T13:02:43.446857Z  INFO property_map_server: Precomputed AI filters system prompt
+2026-05-04T13:02:44.885081Z  INFO property_map_server: All memory pages locked (mlockall)
+2026-05-04T13:02:44.885122Z  INFO property_map_server: Server listening on 0.0.0.0:8001
+2026-05-04T13:31:57.100493Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T13:31:57.100828Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T13:31:59.023461Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=112745 parallel=true cells_before_filter=400 cells_after_filter=353 truncated=false bounds=51.4958,-0.1756,51.5342,-0.0844 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=6.8 json_ms=0.2 total_ms=7.1
+2026-05-04T13:32:20.059848Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T13:32:20.059865Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T13:32:56.666128Z  INFO property_map_server::routes::invites: Created invite code=9ih0z6ogb99k invite_type="referral" user_id=pyja9yzzek267px
+2026-05-04T13:33:00.645401Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=112745 parallel=true cells_before_filter=400 cells_after_filter=353 truncated=false bounds=51.4958,-0.1756,51.5342,-0.0844 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=3.4 json_ms=0.2 total_ms=3.6
+2026-05-04T13:33:20.947504Z  INFO property_map_server::routes::pois: GET /api/pois results=55 candidates=14100 categories=1 categories_raw="Tube station" ms=0.4
+2026-05-04T13:33:21.677477Z  INFO property_map_server::routes::pois: GET /api/pois results=195 candidates=44919 categories=1 categories_raw="Tube station" ms=1.4
+2026-05-04T13:33:21.684537Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=781975 parallel=true cells_before_filter=3323 cells_after_filter=3192 truncated=false bounds=51.4529,-0.3082,51.5814,-0.0037 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=6.9 json_ms=2.5 total_ms=9.5
+2026-05-04T13:33:22.737902Z  INFO property_map_server::routes::pois: GET /api/pois results=186 candidates=43941 categories=1 categories_raw="Tube station" ms=1.3
+2026-05-04T13:33:22.744579Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=806492 parallel=true cells_before_filter=3367 cells_after_filter=3166 truncated=false bounds=51.4225,-0.2849,51.5510,0.0196 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=7.1 json_ms=2.6 total_ms=9.7
+2026-05-04T13:33:24.238071Z  INFO property_map_server::routes::pois: GET /api/pois results=39 candidates=9775 categories=1 categories_raw="Tube station" ms=0.5
+2026-05-04T13:33:24.239194Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=69481 parallel=true cells_before_filter=258 cells_after_filter=214 truncated=false bounds=51.4846,-0.1532,51.5125,-0.0870 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.6 json_ms=0.1 total_ms=1.7
+2026-05-04T13:33:25.453709Z  INFO property_map_server::routes::pois: GET /api/pois results=51 candidates=13216 categories=1 categories_raw="Tube station" ms=0.5
+2026-05-04T13:33:25.454560Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=123645 parallel=true cells_before_filter=449 cells_after_filter=379 truncated=false bounds=51.4784,-0.1630,51.5189,-0.0671 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.1 json_ms=0.2 total_ms=1.4
+2026-05-04T13:33:26.256653Z  INFO property_map_server::routes::pois: GET /api/pois results=31 candidates=8863 categories=1 categories_raw="Tube station" ms=0.3
+2026-05-04T13:33:26.257597Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=110838 parallel=true cells_before_filter=408 cells_after_filter=376 truncated=false bounds=51.4613,-0.1627,51.5017,-0.0668 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.1 json_ms=0.2 total_ms=1.3
+2026-05-04T13:33:26.822962Z  INFO property_map_server::routes::pois: GET /api/pois results=207 candidates=46873 categories=1 categories_raw="Tube station" ms=1.2
+2026-05-04T13:33:26.831403Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=989280 parallel=true cells_before_filter=4956 cells_after_filter=4907 truncated=false bounds=51.3626,-0.3250,51.5274,0.0650 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=6.6 json_ms=3.0 total_ms=9.6
+2026-05-04T13:33:27.729697Z  INFO property_map_server::routes::pois: GET /api/pois results=100 candidates=28949 categories=1 categories_raw="Tube station" ms=0.6
+2026-05-04T13:33:27.738332Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=889036 parallel=true cells_before_filter=4950 cells_after_filter=4753 truncated=false bounds=51.3356,-0.3152,51.5005,0.0747 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=6.9 json_ms=3.0 total_ms=9.9
+2026-05-04T13:33:29.270200Z  INFO property_map_server::routes::pois: GET /api/pois results=64 candidates=21033 categories=1 categories_raw="Tube station" ms=0.6
+2026-05-04T13:33:29.277507Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=667630 parallel=true cells_before_filter=4479 cells_after_filter=4457 truncated=false bounds=51.3127,-0.3184,51.4777,0.0716 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=5.3 json_ms=2.6 total_ms=7.9
+2026-05-04T13:33:30.024877Z  INFO property_map_server::routes::pois: GET /api/pois results=358 candidates=107186 categories=1 categories_raw="Tube station" ms=2.3
+2026-05-04T13:33:30.033631Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=2915619 parallel=true cells_before_filter=1275 cells_after_filter=1275 truncated=false bounds=51.0969,-0.7016,51.6494,0.6039 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=10.5 json_ms=0.6 total_ms=11.1
+2026-05-04T13:33:31.642663Z  INFO property_map_server::routes::pois: GET /api/pois results=358 candidates=107463 categories=1 categories_raw="Tube station" ms=2.4
+2026-05-04T13:33:31.652754Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=2936405 parallel=true cells_before_filter=1281 cells_after_filter=1281 truncated=false bounds=51.0969,-0.7262,51.6494,0.5794 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=11.8 json_ms=0.6 total_ms=12.5
+2026-05-04T13:33:33.487141Z  INFO property_map_server::routes::pois: GET /api/pois results=64 candidates=19203 categories=1 categories_raw="Tube station" ms=0.4
+2026-05-04T13:33:33.491396Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=588430 parallel=true cells_before_filter=3592 cells_after_filter=3486 truncated=false bounds=51.3313,-0.3022,51.4726,0.0319 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=4.4 json_ms=2.5 total_ms=6.9
+2026-05-04T13:33:34.526891Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=189132 parallel=true cells_before_filter=1092 cells_after_filter=1007 truncated=false bounds=51.3771,-0.2593,51.4478,-0.0919 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.8 json_ms=0.8 total_ms=2.6
+2026-05-04T13:33:34.527896Z  INFO property_map_server::routes::pois: GET /api/pois results=28 candidates=5013 categories=1 categories_raw="Tube station" ms=0.1
+2026-05-04T13:33:35.231529Z  INFO property_map_server::routes::pois: GET /api/pois results=19 candidates=3448 categories=1 categories_raw="Tube station" ms=0.1
+2026-05-04T13:33:35.231862Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=142421 parallel=true cells_before_filter=793 cells_after_filter=677 truncated=false bounds=51.3860,-0.2451,51.4420,-0.1126 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.5 json_ms=0.6 total_ms=2.0
+2026-05-04T13:33:47.381036Z  INFO property_map_server::routes::pois: GET /api/pois results=19 candidates=3448 categories=1 categories_raw="Tube station" ms=0.1
+2026-05-04T13:33:48.487044Z  INFO property_map_server::routes::pois: GET /api/pois results=14 candidates=2073 categories=1 categories_raw="Tube station" ms=0.1
+2026-05-04T13:33:48.487895Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=64849 parallel=true cells_before_filter=359 cells_after_filter=328 truncated=false bounds=51.3976,-0.2209,51.4344,-0.1338 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=0.9 json_ms=0.2 total_ms=1.1
+2026-05-04T13:33:53.103234Z  INFO property_map_server::routes::pois: GET /api/pois results=78 candidates=19629 categories=1 categories_raw="Tube station" ms=0.6
+2026-05-04T13:33:53.107969Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=572882 parallel=true cells_before_filter=2836 cells_after_filter=2667 truncated=false bounds=51.3746,-0.3342,51.4938,-0.0521 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=3.7 json_ms=1.7 total_ms=5.4
+2026-05-04T13:33:54.179347Z  INFO property_map_server::routes::pois: GET /api/pois results=18 candidates=4852 categories=1 categories_raw="Tube station" ms=0.2
+2026-05-04T13:33:54.181576Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=197863 parallel=true cells_before_filter=974 cells_after_filter=892 truncated=false bounds=51.3948,-0.2606,51.4606,-0.1051 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=2.0 json_ms=0.5 total_ms=2.4
+2026-05-04T13:34:44.265941Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89194ada8cbffff resolution=9 total_count=540 filters=0 filters_raw="-" ms=0.3
+2026-05-04T13:34:44.642142Z  INFO property_map_server::routes::pois: GET /api/pois results=18 candidates=3932 categories=1 categories_raw="Tube station" ms=0.2
+2026-05-04T13:34:44.643806Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=162297 parallel=true cells_before_filter=751 cells_after_filter=688 truncated=false bounds=51.3948,-0.2395,51.4606,-0.1262 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.5 json_ms=0.5 total_ms=1.9
+2026-05-04T13:34:48.258461Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89194ada87bffff resolution=9 total_count=229 filters=0 filters_raw="-" ms=0.2
+2026-05-04T13:34:49.020563Z  INFO property_map_server::routes::pois: GET /api/pois results=286 candidates=70330 categories=1 categories_raw="Tube station" ms=1.9
+2026-05-04T13:34:49.025229Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=1763707 parallel=true cells_before_filter=2161 cells_after_filter=2149 truncated=false bounds=51.2559,-0.3872,51.5802,0.1718 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=5.6 json_ms=1.0 total_ms=6.6
+2026-05-04T13:34:49.575667Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=88194ad111fffff resolution=8 total_count=2002 filters=0 filters_raw="-" ms=0.8
+2026-05-04T13:34:50.242133Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=88194ad187fffff resolution=8 total_count=569 filters=0 filters_raw="-" ms=0.4
+2026-05-04T13:34:54.017928Z  INFO property_map_server::routes::pois: GET /api/pois results=300 candidates=72466 categories=1 categories_raw="Tube station" ms=1.6
+2026-05-04T13:34:54.020899Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=1794663 parallel=true cells_before_filter=2118 cells_after_filter=2115 truncated=false bounds=51.3074,-0.2905,51.6314,0.2686 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=6.1 json_ms=1.0 total_ms=7.2
+2026-05-04T13:34:54.333516Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=88194e69a3fffff resolution=8 total_count=1711 filters=0 filters_raw="-" ms=0.7
+2026-05-04T13:34:55.089268Z  INFO property_map_server::routes::pois: GET /api/pois results=266 candidates=63697 categories=1 categories_raw="Tube station" ms=1.6
+2026-05-04T13:34:55.092662Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=1457596 parallel=true cells_before_filter=1343 cells_after_filter=1342 truncated=false bounds=51.3604,-0.2378,51.6117,0.1960 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=4.3 json_ms=0.7 total_ms=5.0
+2026-05-04T13:34:56.107033Z  INFO property_map_server::routes::pois: GET /api/pois results=188 candidates=41187 categories=1 categories_raw="Tube station" ms=1.1
+2026-05-04T13:34:56.112661Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=705465 parallel=true cells_before_filter=3119 cells_after_filter=2980 truncated=false bounds=51.4887,-0.2116,51.6142,0.0860 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=4.7 json_ms=2.0 total_ms=6.7
+2026-05-04T13:34:56.698120Z  INFO property_map_server::routes::pois: GET /api/pois results=360 candidates=109676 categories=1 categories_raw="Tube station" ms=1.9
+2026-05-04T13:34:56.703955Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=3083264 parallel=true cells_before_filter=1271 cells_after_filter=1271 truncated=false bounds=51.2423,-0.7308,51.7904,0.5684 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=7.0 json_ms=0.6 total_ms=7.7
+2026-05-04T13:34:57.830284Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194e6b2ffffff resolution=7 total_count=2731 filters=0 filters_raw="-" ms=1.0
+2026-05-04T13:34:58.217874Z  INFO property_map_server::routes::pois: GET /api/pois results=357 candidates=98274 categories=1 categories_raw="Tube station" ms=1.8
+2026-05-04T13:34:58.222832Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=2686836 parallel=true cells_before_filter=947 cells_after_filter=947 truncated=false bounds=51.2423,-0.5547,51.7904,0.3922 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=6.1 json_ms=0.6 total_ms=6.7
+2026-05-04T13:35:02.847078Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ad2dffffff resolution=7 total_count=3860 filters=0 filters_raw="-" ms=1.4
+2026-05-04T13:35:04.267736Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ad5dffffff resolution=7 total_count=61 filters=0 filters_raw="-" ms=0.1
+2026-05-04T13:35:04.372806Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1796967 parallel=true cells_before_filter=952 cells_after_filter=952 truncated=false bounds=50.9769,-0.5547,51.5282,0.3922 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=8.1 json_ms=0.5 total_ms=8.6
+2026-05-04T13:35:05.286093Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ac0cffffff resolution=7 total_count=5360 filters=0 filters_raw="-" ms=2.4
+2026-05-04T13:35:05.938510Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ace4ffffff resolution=7 total_count=1840 filters=0 filters_raw="-" ms=0.7
+2026-05-04T13:35:07.024847Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194acd0ffffff resolution=7 total_count=27 filters=0 filters_raw="-" ms=0.1
+2026-05-04T13:35:07.127864Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1406489 parallel=true cells_before_filter=931 cells_after_filter=931 truncated=false bounds=50.9372,-0.7810,51.4889,0.1659 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=4.2 json_ms=0.5 total_ms=4.7
+2026-05-04T13:35:07.636723Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ace2ffffff resolution=7 total_count=4128 filters=0 filters_raw="-" ms=1.9
+2026-05-04T13:35:08.866720Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ace0ffffff resolution=8 total_count=0 filters=0 filters_raw="-" ms=0.1
+2026-05-04T13:35:08.976021Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=264483 parallel=true cells_before_filter=1335 cells_after_filter=1332 truncated=false bounds=51.0861,-0.4152,51.3619,0.0583 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=2.8 json_ms=0.9 total_ms=3.7
+2026-05-04T13:35:09.583460Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=88194ace27fffff resolution=8 total_count=487 filters=0 filters_raw="-" ms=0.3
+2026-05-04T13:35:10.431102Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=459958 parallel=true cells_before_filter=1971 cells_after_filter=1970 truncated=false bounds=51.0521,-0.4759,51.3966,0.1154 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=2.6 json_ms=1.2 total_ms=3.8
+2026-05-04T13:35:10.749788Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=88194ace59fffff resolution=8 total_count=16 filters=0 filters_raw="-" ms=0.1
+2026-05-04T13:35:12.459426Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1105405 parallel=true cells_before_filter=719 cells_after_filter=719 truncated=false bounds=50.9869,-0.6426,51.4692,0.1854 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=3.1 json_ms=0.3 total_ms=3.4
+2026-05-04T13:35:13.401256Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1381454 parallel=true cells_before_filter=729 cells_after_filter=729 truncated=false bounds=51.0125,-0.4626,51.4945,0.3654 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=3.4 json_ms=0.4 total_ms=3.8
+2026-05-04T13:35:14.699791Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194a896ffffff resolution=7 total_count=127 filters=0 filters_raw="-" ms=0.1
+2026-05-04T13:35:15.568561Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ac71ffffff resolution=7 total_count=1376 filters=0 filters_raw="-" ms=0.5
+2026-05-04T13:35:16.283030Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ac62ffffff resolution=7 total_count=121 filters=0 filters_raw="-" ms=0.1
+2026-05-04T13:35:16.911530Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ac60ffffff resolution=7 total_count=100 filters=0 filters_raw="-" ms=0.1
+2026-05-04T13:35:17.450345Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ad5cffffff resolution=7 total_count=846 filters=0 filters_raw="-" ms=0.4
+2026-05-04T13:35:18.186038Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ad59ffffff resolution=7 total_count=548 filters=0 filters_raw="-" ms=0.2
+2026-05-04T13:37:31.860156Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ad59ffffff resolution=7 total_count=368 filters=1 filters_raw="Number of bedrooms & living rooms:1:inf" ms=0.2
+2026-05-04T13:37:32.015897Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1381454 parallel=true cells_before_filter=728 cells_after_filter=728 truncated=false bounds=51.0125,-0.4626,51.4945,0.3654 filters=1 filters_raw="Number of bedrooms & living rooms:1:inf" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=6.2 json_ms=0.4 total_ms=6.5
+2026-05-04T13:37:32.289683Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=1381454 filters=1 travel=0 total=992001 filters_raw="Number of bedrooms & living rooms:1:inf" ms=30.5
+2026-05-04T13:37:33.937517Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1381454 parallel=true cells_before_filter=729 cells_after_filter=729 truncated=false bounds=51.0125,-0.4626,51.4945,0.3654 filters=0 filters_raw="-" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=6.5 json_ms=0.5 total_ms=7.1
+2026-05-04T13:37:34.067557Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ad59ffffff resolution=7 total_count=357 filters=1 filters_raw="Number of bedrooms & living rooms:3:inf" ms=0.2
+2026-05-04T13:37:34.223391Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1381454 parallel=true cells_before_filter=728 cells_after_filter=728 truncated=false bounds=51.0125,-0.4626,51.4945,0.3654 filters=1 filters_raw="Number of bedrooms & living rooms:3:inf" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=6.2 json_ms=0.4 total_ms=6.6
+2026-05-04T13:37:34.498149Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=1381454 filters=1 travel=0 total=854740 filters_raw="Number of bedrooms & living rooms:3:inf" ms=30.2
+2026-05-04T13:37:35.039387Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1381454 parallel=true cells_before_filter=729 cells_after_filter=729 truncated=false bounds=51.0125,-0.4626,51.4945,0.3654 filters=0 filters_raw="-" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=6.2 json_ms=0.5 total_ms=6.7
+2026-05-04T13:37:35.191323Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1381454 parallel=true cells_before_filter=728 cells_after_filter=728 truncated=false bounds=51.0125,-0.4626,51.4945,0.3654 filters=1 filters_raw="Number of bedrooms & living rooms:3:inf" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=6.3 json_ms=0.5 total_ms=6.8
+2026-05-04T13:37:36.028720Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ad59ffffff resolution=7 total_count=247 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.3
+2026-05-04T13:37:36.189180Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1381454 parallel=true cells_before_filter=718 cells_after_filter=718 truncated=false bounds=51.0125,-0.4626,51.4945,0.3654 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=5.8 json_ms=0.3 total_ms=6.1
+2026-05-04T13:37:36.460353Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=1381454 filters=1 travel=0 total=635338 filters_raw="Number of bedrooms & living rooms:3:5" ms=30.7
+2026-05-04T13:37:39.273306Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1381454 parallel=true cells_before_filter=729 cells_after_filter=729 truncated=false bounds=51.0125,-0.4626,51.4945,0.3654 filters=0 filters_raw="-" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=6.5 json_ms=0.6 total_ms=7.1
+2026-05-04T13:37:39.425398Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1381454 parallel=true cells_before_filter=718 cells_after_filter=718 truncated=false bounds=51.0125,-0.4626,51.4945,0.3654 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=6.5 json_ms=0.6 total_ms=7.1
+2026-05-04T13:37:39.509011Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ad59ffffff resolution=7 total_count=323 filters=1 filters_raw="Number of bedrooms & living rooms:3:7" ms=0.2
+2026-05-04T13:37:39.665177Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1381454 parallel=true cells_before_filter=727 cells_after_filter=727 truncated=false bounds=51.0125,-0.4626,51.4945,0.3654 filters=1 filters_raw="Number of bedrooms & living rooms:3:7" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=6.3 json_ms=0.3 total_ms=6.6
+2026-05-04T13:37:39.939347Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=1381454 filters=1 travel=0 total=794448 filters_raw="Number of bedrooms & living rooms:3:7" ms=29.9
+2026-05-04T13:37:40.764623Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1381454 parallel=true cells_before_filter=729 cells_after_filter=729 truncated=false bounds=51.0125,-0.4626,51.4945,0.3654 filters=0 filters_raw="-" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=6.3 json_ms=0.6 total_ms=6.9
+2026-05-04T13:37:40.917286Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1381454 parallel=true cells_before_filter=727 cells_after_filter=727 truncated=false bounds=51.0125,-0.4626,51.4945,0.3654 filters=1 filters_raw="Number of bedrooms & living rooms:3:7" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=6.1 json_ms=0.5 total_ms=6.6
+2026-05-04T13:37:41.269176Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ad59ffffff resolution=7 total_count=247 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.2
+2026-05-04T13:37:41.425942Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=1381454 parallel=true cells_before_filter=718 cells_after_filter=718 truncated=false bounds=51.0125,-0.4626,51.4945,0.3654 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=6.0 json_ms=0.3 total_ms=6.4
+2026-05-04T13:37:41.702843Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=1381454 filters=1 travel=0 total=635338 filters_raw="Number of bedrooms & living rooms:3:5" ms=32.3
+2026-05-04T13:37:42.522234Z  INFO property_map_server::routes::properties: GET /api/hexagon-properties h3=87194ad59ffffff resolution=7 total=247 returned=100 offset=0 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.6
+2026-05-04T13:39:09.200678Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194aceaffffff resolution=7 total_count=2184 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=1.0
+2026-05-04T13:39:11.646640Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ac28ffffff resolution=7 total_count=755 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.4
+2026-05-04T13:39:12.199523Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ac65ffffff resolution=7 total_count=8 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:12.679800Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ac6bffffff resolution=7 total_count=14 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:13.266201Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=3475464 parallel=true cells_before_filter=2135 cells_after_filter=2135 truncated=false bounds=50.8928,-0.8841,51.7497,0.5899 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=22.7 json_ms=1.0 total_ms=23.8
+2026-05-04T13:39:14.173736Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194a950ffffff resolution=7 total_count=108 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:14.202953Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=2579526 parallel=true cells_before_filter=1773 cells_after_filter=1773 truncated=false bounds=50.8838,-0.2291,51.7409,1.2449 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=10.0 json_ms=0.8 total_ms=10.9
+2026-05-04T13:39:14.530599Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=2579526 filters=1 travel=0 total=1216179 filters_raw="Number of bedrooms & living rooms:3:5" ms=59.7
+2026-05-04T13:39:14.817290Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194a820ffffff resolution=7 total_count=3142 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=1.6
+2026-05-04T13:39:15.308971Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194a824ffffff resolution=7 total_count=2807 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=1.4
+2026-05-04T13:39:15.673631Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194a816ffffff resolution=7 total_count=13 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:16.123666Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194a990ffffff resolution=7 total_count=2 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:16.608403Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194e6ddffffff resolution=7 total_count=631 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.4
+2026-05-04T13:39:16.999707Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194a8b0ffffff resolution=7 total_count=87 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:18.417737Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=2578308 parallel=true cells_before_filter=1987 cells_after_filter=1987 truncated=false bounds=50.4409,-0.6832,51.5251,1.1682 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" fields=0 travel_entries=0 grid_ms=0.1 agg_ms=11.4 json_ms=1.1 total_ms=12.6
+2026-05-04T13:39:18.730325Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=2578308 filters=1 travel=0 total=1189584 filters_raw="Number of bedrooms & living rooms:3:5" ms=61.6
+2026-05-04T13:39:18.734185Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194a150ffffff resolution=7 total_count=76 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:19.127321Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194a015ffffff resolution=7 total_count=17 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:19.574466Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194a18cffffff resolution=7 total_count=129 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:19.926142Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194a195ffffff resolution=7 total_count=2 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.0
+2026-05-04T13:39:21.425128Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ad2cffffff resolution=7 total_count=3286 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=1.5
+2026-05-04T13:39:21.516570Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=4132595 parallel=true cells_before_filter=3124 cells_after_filter=3124 truncated=false bounds=51.0226,-0.7947,52.0934,1.0568 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" fields=0 travel_entries=0 grid_ms=0.1 agg_ms=20.3 json_ms=1.4 total_ms=21.8
+2026-05-04T13:39:21.904543Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194e696ffffff resolution=7 total_count=4371 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=1.8
+2026-05-04T13:39:21.938806Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=4132595 filters=1 travel=0 total=1885406 filters_raw="Number of bedrooms & living rooms:3:5" ms=95.5
+2026-05-04T13:39:22.384233Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194e798ffffff resolution=7 total_count=24 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:22.815724Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194e7a5ffffff resolution=7 total_count=2 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.0
+2026-05-04T13:39:23.240875Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195db64ffffff resolution=7 total_count=109 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:23.649706Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195db0bffffff resolution=7 total_count=2098 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.9
+2026-05-04T13:39:24.061836Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195da28ffffff resolution=7 total_count=16 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:25.168849Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=4166960 parallel=true cells_before_filter=3121 cells_after_filter=3121 truncated=false bounds=51.2743,-1.1936,52.3392,0.6578 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=21.3 json_ms=1.5 total_ms=22.8
+2026-05-04T13:39:25.523193Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195d840ffffff resolution=7 total_count=16 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:25.559888Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=4166960 filters=1 travel=0 total=1886566 filters_raw="Number of bedrooms & living rooms:3:5" ms=107.2
+2026-05-04T13:39:25.883105Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194e49effffff resolution=7 total_count=1693 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.8
+2026-05-04T13:39:26.218403Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195db86ffffff resolution=7 total_count=153 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:26.593638Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195db9affffff resolution=7 total_count=1 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:26.950436Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195da31ffffff resolution=7 total_count=1550 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.8
+2026-05-04T13:39:27.307613Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195db2bffffff resolution=7 total_count=1530 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.7
+2026-05-04T13:39:27.665871Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194e4f3ffffff resolution=7 total_count=70 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:28.032904Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194e48cffffff resolution=7 total_count=3 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.0
+2026-05-04T13:39:28.390308Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195d843ffffff resolution=7 total_count=1 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:28.762285Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195daa5ffffff resolution=7 total_count=1051 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.6
+2026-05-04T13:39:29.128858Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195daa8ffffff resolution=7 total_count=79 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:29.469791Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195d8cdffffff resolution=7 total_count=29 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:29.828391Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195d841ffffff resolution=7 total_count=7 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.0
+2026-05-04T13:39:30.228889Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194e496ffffff resolution=7 total_count=222 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.2
+2026-05-04T13:39:30.544702Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195db30ffffff resolution=7 total_count=2 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.0
+2026-05-04T13:39:30.896707Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195da06ffffff resolution=7 total_count=620 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.3
+2026-05-04T13:39:31.258359Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195dae3ffffff resolution=7 total_count=2023 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=1.4
+2026-05-04T13:39:31.691097Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195dad2ffffff resolution=7 total_count=219 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.2
+2026-05-04T13:39:32.025740Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195db80ffffff resolution=7 total_count=4 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.1
+2026-05-04T13:39:32.407765Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195d845ffffff resolution=7 total_count=4 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" ms=0.0
+2026-05-04T13:39:47.631460Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T13:39:47.633167Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T13:39:47.918971Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=4166960 parallel=true cells_before_filter=3121 cells_after_filter=3121 truncated=false bounds=51.2743,-1.1936,52.3392,0.6578 filters=1 filters_raw="Number of bedrooms & living rooms:3:5" fields=0 travel_entries=0 grid_ms=0.1 agg_ms=17.4 json_ms=1.6 total_ms=19.1
+2026-05-04T13:39:48.244646Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=4166960 filters=1 travel=0 total=1886566 filters_raw="Number of bedrooms & living rooms:3:5" ms=95.1
+2026-05-04T13:39:59.839762Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195d845ffffff resolution=7 total_count=4 filters=2 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other" ms=0.0
+2026-05-04T13:40:00.017768Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=4166960 parallel=true cells_before_filter=3121 cells_after_filter=3121 truncated=false bounds=51.2743,-1.1936,52.3392,0.6578 filters=2 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=19.1 json_ms=1.7 total_ms=20.8
+2026-05-04T13:40:00.298024Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=4166960 filters=2 travel=0 total=1886566 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other" ms=52.3
+2026-05-04T13:40:01.703148Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195d845ffffff resolution=7 total_count=4 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:12976.594:inf" ms=0.1
+2026-05-04T13:40:01.881414Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=4166960 parallel=true cells_before_filter=3121 cells_after_filter=3121 truncated=false bounds=51.2743,-1.1936,52.3392,0.6578 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:12976.594:inf" fields=0 travel_entries=0 grid_ms=0.1 agg_ms=25.3 json_ms=1.6 total_ms=26.9
+2026-05-04T13:40:02.159421Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=4166960 filters=3 travel=0 total=1886561 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:12976.594:inf" ms=56.6
+2026-05-04T13:40:02.954534Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=4166960 parallel=true cells_before_filter=3121 cells_after_filter=3121 truncated=false bounds=51.2743,-1.1936,52.3392,0.6578 filters=2 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=17.4 json_ms=2.3 total_ms=19.8
+2026-05-04T13:40:03.092445Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=4166960 parallel=true cells_before_filter=3121 cells_after_filter=3121 truncated=false bounds=51.2743,-1.1936,52.3392,0.6578 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:12976.594:inf" fields=1 travel_entries=0 grid_ms=0.1 agg_ms=15.6 json_ms=2.2 total_ms=17.8
+2026-05-04T13:40:03.106688Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=310 cells_after_filter=260 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=2 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=0.9 json_ms=0.2 total_ms=1.1
+2026-05-04T13:40:03.183936Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195d845ffffff resolution=7 total_count=3 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:inf" ms=0.1
+2026-05-04T13:40:03.334999Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=310 cells_after_filter=260 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:inf" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.0 json_ms=0.2 total_ms=1.1
+2026-05-04T13:40:03.585769Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=87992 filters=3 travel=0 total=33277 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:inf" ms=1.3
+2026-05-04T13:40:05.930723Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=310 cells_after_filter=260 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=2 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=0.9 json_ms=0.2 total_ms=1.1
+2026-05-04T13:40:06.082869Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=310 cells_after_filter=260 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:inf" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.1 json_ms=0.2 total_ms=1.3
+2026-05-04T13:40:06.430051Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195d845ffffff resolution=7 total_count=3 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.0
+2026-05-04T13:40:06.581002Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=284 cells_after_filter=237 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.0 json_ms=0.1 total_ms=1.1
+2026-05-04T13:40:06.829845Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=87992 filters=3 travel=0 total=18406 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Semi-Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=1.3
+2026-05-04T13:40:07.011032Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87195d845ffffff resolution=7 total_count=2 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.0
+2026-05-04T13:40:07.164480Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=284 cells_after_filter=237 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.0 json_ms=0.1 total_ms=1.2
+2026-05-04T13:40:07.429768Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=87992 filters=3 travel=0 total=18395 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=1.7
+2026-05-04T13:40:08.503494Z  INFO property_map_server::routes::properties: GET /api/hexagon-properties h3=87195d845ffffff resolution=7 total=2 returned=2 offset=0 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.0
+2026-05-04T13:40:12.659371Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da499bffff resolution=9 total_count=118 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.2
+2026-05-04T13:40:13.476085Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=1289966 parallel=true cells_before_filter=1056 cells_after_filter=1056 truncated=false bounds=51.3961,-0.2920,51.6141,0.0845 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=6.0 json_ms=0.5 total_ms=6.6
+2026-05-04T13:40:13.809495Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=1289966 filters=3 travel=0 total=460490 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=17.6
+2026-05-04T13:40:14.188080Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=88194ad025fffff resolution=8 total_count=301 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.3
+2026-05-04T13:40:15.349942Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=3939570 parallel=true cells_before_filter=2481 cells_after_filter=2481 truncated=false bounds=51.1815,-0.9718,52.1304,0.6725 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=15.4 json_ms=1.4 total_ms=16.8
+2026-05-04T13:40:16.324644Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ac40ffffff resolution=7 total_count=1 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.1
+2026-05-04T13:40:16.403879Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=3804218 parallel=true cells_before_filter=2508 cells_after_filter=2508 truncated=false bounds=50.8745,-0.8892,51.8297,0.7551 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=15.5 json_ms=1.2 total_ms=16.8
+2026-05-04T13:40:16.756860Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=3804218 filters=3 travel=0 total=1157117 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=60.5
+2026-05-04T13:40:17.073715Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194acedffffff resolution=7 total_count=8 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.0
+2026-05-04T13:40:17.507764Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194acd1ffffff resolution=7 total_count=6 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.1
+2026-05-04T13:40:17.961358Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194a98affffff resolution=7 total_count=353 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.2
+2026-05-04T13:40:18.854000Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=5 rows=13734545 parallel=true cells_before_filter=591 cells_after_filter=591 truncated=false bounds=48.9101,-6.4599,54.2741,2.8361 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.8 agg_ms=78.1 json_ms=0.3 total_ms=79.2
+2026-05-04T13:40:19.292838Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=13734545 filters=3 travel=0 total=2626682 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=250.9
+2026-05-04T13:40:20.742956Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=6 rows=4941995 parallel=true cells_before_filter=730 cells_after_filter=730 truncated=false bounds=49.9329,-2.0335,51.7180,1.0049 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.1 agg_ms=18.2 json_ms=0.3 total_ms=18.6
+2026-05-04T13:40:21.052172Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=4941995 filters=3 travel=0 total=1437556 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=77.1
+2026-05-04T13:40:21.737715Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=5 rows=14525100 parallel=true cells_before_filter=680 cells_after_filter=680 truncated=false bounds=47.6440,-11.8151,57.1675,5.0515 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=1.2 agg_ms=77.4 json_ms=0.4 total_ms=79.1
+2026-05-04T13:40:22.311664Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=6 rows=1351447 parallel=true cells_before_filter=330 cells_after_filter=330 truncated=false bounds=50.0785,-1.3960,51.3374,0.7412 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.1 agg_ms=5.2 json_ms=0.2 total_ms=5.4
+2026-05-04T13:40:22.577284Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=1351447 filters=3 travel=0 total=341191 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=21.2
+2026-05-04T13:40:23.304030Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=86194a0afffffff resolution=6 total_count=79 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.1
+2026-05-04T13:40:23.980370Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=6 rows=5962106 parallel=true cells_before_filter=1067 cells_after_filter=1067 truncated=false bounds=49.1089,-2.9215,51.8051,1.6327 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.3 agg_ms=20.8 json_ms=0.5 total_ms=21.6
+2026-05-04T13:40:24.305533Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=86194a407ffffff resolution=6 total_count=134 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.2
+2026-05-04T13:40:24.337106Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=5962106 filters=3 travel=0 total=1685745 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=93.5
+2026-05-04T13:40:25.663676Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=6 rows=10634700 parallel=true cells_before_filter=2866 cells_after_filter=2866 truncated=false bounds=49.1437,-4.4067,53.2985,2.7308 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.4 agg_ms=60.1 json_ms=1.3 total_ms=61.8
+2026-05-04T13:40:26.085658Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=10634700 filters=3 travel=0 total=2336049 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=191.2
+2026-05-04T13:40:26.297051Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=86195d3afffffff resolution=6 total_count=1090 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.6
+2026-05-04T13:40:26.829321Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=8619598afffffff resolution=6 total_count=21 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.1
+2026-05-04T13:40:27.681730Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=5 rows=14525100 parallel=true cells_before_filter=680 cells_after_filter=680 truncated=false bounds=47.2724,-10.5960,56.7831,6.1034 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=1.0 agg_ms=80.9 json_ms=0.3 total_ms=82.2
+2026-05-04T13:40:27.980107Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=8519416ffffffff resolution=5 total_count=650 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.5
+2026-05-04T13:40:28.172748Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=14525100 filters=3 travel=0 total=2674851 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=264.9
+2026-05-04T13:40:30.144887Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=6 rows=13393037 parallel=true cells_before_filter=3371 cells_after_filter=3371 truncated=false bounds=50.2480,-4.5290,53.9724,1.9951 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.3 agg_ms=67.4 json_ms=1.5 total_ms=69.2
+2026-05-04T13:40:30.684577Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=6 rows=5783676 parallel=true cells_before_filter=1023 cells_after_filter=1023 truncated=false bounds=51.3248,-2.2406,52.8598,0.4456 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.1 agg_ms=19.7 json_ms=0.5 total_ms=20.3
+2026-05-04T13:40:31.018801Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=5783676 filters=3 travel=0 total=1368317 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=103.7
+2026-05-04T13:40:33.223439Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=6 rows=5574893 parallel=true cells_before_filter=1047 cells_after_filter=1047 truncated=false bounds=50.9530,-1.8661,52.5005,0.8201 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.1 agg_ms=20.2 json_ms=0.5 total_ms=20.8
+2026-05-04T13:40:33.511242Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=5574893 filters=3 travel=0 total=1474666 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=89.6
+2026-05-04T13:40:33.823361Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=6 rows=7718491 parallel=true cells_before_filter=1606 cells_after_filter=1606 truncated=false bounds=50.7823,-2.2768,52.7453,1.1335 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.1 agg_ms=27.3 json_ms=0.7 total_ms=28.2
+2026-05-04T13:40:34.181037Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=7718491 filters=3 travel=0 total=1855340 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=130.1
+2026-05-04T13:40:35.169083Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=5 rows=14525100 parallel=true cells_before_filter=680 cells_after_filter=680 truncated=false bounds=48.3706,-7.9280,55.9761,5.4460 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.9 agg_ms=74.7 json_ms=0.3 total_ms=75.9
+2026-05-04T13:40:35.614995Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=14525100 filters=3 travel=0 total=2674851 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=267.4
+2026-05-04T13:40:36.796318Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=6 rows=6805756 parallel=true cells_before_filter=1441 cells_after_filter=1441 truncated=false bounds=50.9200,-2.0466,52.7662,1.1662 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.1 agg_ms=40.3 json_ms=0.7 total_ms=41.1
+2026-05-04T13:40:37.128382Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=6805756 filters=3 travel=0 total=1645309 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=124.6
+2026-05-04T13:40:37.594282Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=6 rows=7163519 parallel=true cells_before_filter=1554 cells_after_filter=1554 truncated=false bounds=50.8883,-2.1219,52.8088,1.2209 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.2 agg_ms=40.7 json_ms=0.7 total_ms=41.5
+2026-05-04T13:40:37.941673Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=7163519 filters=3 travel=0 total=1699669 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=132.3
+2026-05-04T13:40:38.211400Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=86194e40fffffff resolution=6 total_count=38 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.1
+2026-05-04T13:40:39.150774Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=3135418 parallel=true cells_before_filter=1605 cells_after_filter=1605 truncated=false bounds=51.3661,-0.7240,52.1190,0.5831 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=12.4 json_ms=0.8 total_ms=13.1
+2026-05-04T13:40:39.435136Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=3135418 filters=3 travel=0 total=989196 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=46.3
+2026-05-04T13:40:40.347500Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=513089 parallel=true cells_before_filter=1559 cells_after_filter=1559 truncated=false bounds=51.5957,-0.3062,51.9709,0.3457 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=3.3 json_ms=0.7 total_ms=4.0
+2026-05-04T13:40:40.857293Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=240788 parallel=true cells_before_filter=1227 cells_after_filter=1227 truncated=false bounds=51.6825,-0.3062,52.0569,0.3457 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=2.9 json_ms=0.7 total_ms=3.6
+2026-05-04T13:40:41.166908Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=240788 filters=3 travel=0 total=65837 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=4.1
+2026-05-04T13:40:41.719333Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=857108 parallel=true cells_before_filter=864 cells_after_filter=864 truncated=false bounds=51.5924,-0.4989,52.1451,0.4634 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=4.6 json_ms=0.4 total_ms=5.1
+2026-05-04T13:40:41.979157Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=857108 filters=3 travel=0 total=248089 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=13.6
+2026-05-04T13:40:43.528033Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194e408ffffff resolution=7 total_count=12 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.2
+2026-05-04T13:40:47.419735Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=362988 parallel=true cells_before_filter=1600 cells_after_filter=1599 truncated=false bounds=51.6458,-0.3699,52.0647,0.3591 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=3.4 json_ms=1.3 total_ms=4.7
+2026-05-04T13:40:47.680017Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=362988 filters=3 travel=0 total=103811 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=6.1
+2026-05-04T13:40:47.861833Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=88194e4511fffff resolution=8 total_count=20 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" ms=0.3
+2026-05-04T13:42:45.803861Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=88194e4511fffff resolution=8 total_count=20 filters=4 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" ms=0.1
+2026-05-04T13:42:45.957776Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=362988 parallel=true cells_before_filter=1600 cells_after_filter=1599 truncated=false bounds=51.6458,-0.3699,52.0647,0.3591 filters=4 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=3.0 json_ms=0.8 total_ms=3.8
+2026-05-04T13:42:46.210140Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=362988 filters=4 travel=0 total=103811 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" ms=6.4
+2026-05-04T13:42:48.724320Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=362988 parallel=true cells_before_filter=1600 cells_after_filter=1599 truncated=false bounds=51.6458,-0.3699,52.0647,0.3591 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=3.0 json_ms=1.0 total_ms=4.0
+2026-05-04T13:42:48.878730Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=362988 parallel=true cells_before_filter=1600 cells_after_filter=1599 truncated=false bounds=51.6458,-0.3699,52.0647,0.3591 filters=4 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=3.4 json_ms=1.0 total_ms=4.4
+2026-05-04T13:42:50.280108Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=362988 parallel=true cells_before_filter=1600 cells_after_filter=1599 truncated=false bounds=51.6458,-0.3699,52.0647,0.3591 filters=4 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=3.0 json_ms=0.7 total_ms=3.8
+2026-05-04T13:42:50.527447Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=362988 filters=4 travel=0 total=103811 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" ms=5.9
+2026-05-04T13:42:51.138668Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=11609 parallel=false cells_before_filter=161 cells_after_filter=150 truncated=false bounds=51.8485,-0.1783,51.9152,-0.0621 filters=4 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=0.4 json_ms=0.1 total_ms=0.5
+2026-05-04T13:42:51.437032Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=11609 filters=4 travel=0 total=4346 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" ms=0.3
+2026-05-04T13:42:52.248121Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89194e4d643ffff resolution=9 total_count=1 filters=4 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" ms=0.0
+2026-05-04T13:42:52.967593Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=19 postcodes_after_filter=5 filtered_out=14 truncated=false bounds=51.876437,-0.153837,51.888408,-0.132989 filters=4 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" fields=0 travel_entries=0 agg_ms=0.0 json_ms=0.0 total_ms=0.1
+2026-05-04T13:42:54.208037Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=19 postcodes_after_filter=9 filtered_out=10 truncated=false bounds=51.876437,-0.160521,51.888408,-0.139673 filters=4 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" fields=0 travel_entries=0 agg_ms=0.0 json_ms=0.0 total_ms=0.1
+2026-05-04T13:42:54.458795Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=359 filters=4 travel=0 total=108 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" ms=0.0
+2026-05-04T13:42:54.634223Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=19 postcodes_after_filter=9 filtered_out=10 truncated=false bounds=51.876437,-0.160521,51.888408,-0.139673 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=1 travel_entries=0 agg_ms=0.0 json_ms=0.0 total_ms=0.1
+2026-05-04T13:42:54.787083Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=19 postcodes_after_filter=9 filtered_out=10 truncated=false bounds=51.876437,-0.160521,51.888408,-0.139673 filters=4 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" fields=1 travel_entries=0 agg_ms=0.1 json_ms=0.1 total_ms=0.1
+2026-05-04T13:42:56.155673Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T13:42:56.155846Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T13:42:56.156002Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=19 postcodes_after_filter=9 filtered_out=10 truncated=false bounds=51.876437,-0.160521,51.888408,-0.139673 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=1 travel_entries=0 agg_ms=0.1 json_ms=0.0 total_ms=0.1
+2026-05-04T13:42:56.220641Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=359 parallel=false cells_before_filter=12 cells_after_filter=12 truncated=false bounds=51.8764,-0.1605,51.8884,-0.1397 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=0.0 json_ms=0.0 total_ms=0.1
+2026-05-04T13:42:56.222821Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=19 postcodes_after_filter=9 filtered_out=10 truncated=false bounds=51.876437,-0.160521,51.888408,-0.139673 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=1 travel_entries=0 agg_ms=0.0 json_ms=0.1 total_ms=0.1
+2026-05-04T13:42:56.234072Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=19 postcodes_after_filter=9 filtered_out=10 truncated=false bounds=51.876437,-0.160521,51.888408,-0.139673 filters=3 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000" fields=1 travel_entries=0 agg_ms=0.0 json_ms=0.0 total_ms=0.1
+2026-05-04T13:42:56.385794Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=19 postcodes_after_filter=9 filtered_out=10 truncated=false bounds=51.876437,-0.160521,51.888408,-0.139673 filters=4 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" fields=1 travel_entries=0 agg_ms=0.1 json_ms=0.0 total_ms=0.1
+2026-05-04T13:42:56.636837Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=359 filters=4 travel=0 total=108 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" ms=0.1
+2026-05-04T13:42:57.297686Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=19 postcodes_after_filter=9 filtered_out=10 truncated=false bounds=51.876437,-0.160521,51.888408,-0.139673 filters=4 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" fields=0 travel_entries=0 agg_ms=0.0 json_ms=0.0 total_ms=0.1
+2026-05-04T13:42:57.546730Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=359 filters=4 travel=0 total=108 filters_raw="Number of bedrooms & living rooms:3:5;;Property type:Detached|Terraced|Flats/Maisonettes|Other;;Estimated current price:250000:940000;;Number of parks within 1km:0:261" ms=0.0
+2026-05-04T13:44:49.261099Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=112745 parallel=true cells_before_filter=400 cells_after_filter=353 truncated=false bounds=51.4958,-0.1756,51.5342,-0.0844 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.0 json_ms=0.2 total_ms=1.2
+2026-05-04T13:44:50.347721Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da499bffff resolution=9 total_count=467 filters=0 filters_raw="-" ms=0.3
+2026-05-04T13:44:50.711966Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=321 cells_after_filter=269 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=0.9 json_ms=0.2 total_ms=1.0
+2026-05-04T13:44:51.997117Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=250891 parallel=true cells_before_filter=852 cells_after_filter=772 truncated=false bounds=51.4774,-0.1839,51.5471,-0.0636 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.6 json_ms=0.4 total_ms=2.0
+2026-05-04T13:44:52.807772Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=560282 parallel=true cells_before_filter=2080 cells_after_filter=1933 truncated=false bounds=51.4478,-0.2187,51.5610,-0.0231 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=3.0 json_ms=1.0 total_ms=4.0
+2026-05-04T13:44:53.635787Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=807566 parallel=true cells_before_filter=3303 cells_after_filter=3219 truncated=false bounds=51.4220,-0.2488,51.5731,0.0121 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=5.3 json_ms=1.7 total_ms=7.0
+2026-05-04T13:44:54.798823Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=1105492 parallel=true cells_before_filter=5230 cells_after_filter=5113 truncated=false bounds=51.3929,-0.2828,51.5867,0.0517 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=7.1 json_ms=3.1 total_ms=10.3
+2026-05-04T13:44:55.395784Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=88195da499fffff resolution=8 total_count=1870 filters=0 filters_raw="-" ms=0.7
+2026-05-04T13:44:55.661551Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=1538003 parallel=true cells_before_filter=1378 cells_after_filter=1374 truncated=false bounds=51.3565,-0.3255,51.6038,0.1014 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=7.4 json_ms=0.7 total_ms=8.1
+2026-05-04T13:44:57.193263Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da4983ffff resolution=9 total_count=229 filters=0 filters_raw="-" ms=0.2
+2026-05-04T13:44:58.020688Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=179777 parallel=true cells_before_filter=622 cells_after_filter=549 truncated=false bounds=51.4856,-0.1743,51.5432,-0.0747 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.5 json_ms=0.3 total_ms=1.8
+2026-05-04T13:44:58.881862Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=2345 postcodes_after_filter=962 filtered_out=1383 truncated=false bounds=51.508018,-0.143594,51.522240,-0.119026 filters=0 filters_raw="-" fields=0 travel_entries=0 agg_ms=1.6 json_ms=1.9 total_ms=3.5
+2026-05-04T13:45:00.062761Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=667 postcodes_after_filter=393 filtered_out=274 truncated=false bounds=51.511254,-0.139164,51.519214,-0.125412 filters=0 filters_raw="-" fields=0 travel_entries=0 agg_ms=0.5 json_ms=0.7 total_ms=1.2
+2026-05-04T13:45:00.628155Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=1608 postcodes_after_filter=746 filtered_out=862 truncated=false bounds=51.509410,-0.141687,51.520938,-0.121774 filters=0 filters_raw="-" fields=0 travel_entries=0 agg_ms=1.2 json_ms=1.5 total_ms=2.8
+2026-05-04T13:45:01.397027Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=667 postcodes_after_filter=288 filtered_out=379 truncated=false bounds=51.512070,-0.138270,51.518805,-0.126635 filters=0 filters_raw="-" fields=0 travel_entries=0 agg_ms=0.5 json_ms=0.6 total_ms=1.1
+2026-05-04T13:46:20.506454Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=112745 parallel=true cells_before_filter=400 cells_after_filter=353 truncated=false bounds=51.4958,-0.1756,51.5342,-0.0844 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.2 json_ms=0.2 total_ms=1.4
+2026-05-04T13:46:22.304549Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da49d7ffff resolution=9 total_count=156 filters=0 filters_raw="-" ms=0.2
+2026-05-04T13:46:22.672819Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=321 cells_after_filter=269 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.1 json_ms=0.2 total_ms=1.3
+2026-05-04T13:46:26.117587Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=321 cells_after_filter=269 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=0 filters_raw="-" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.3 json_ms=0.2 total_ms=1.5
+2026-05-04T13:46:29.627324Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=321 cells_after_filter=269 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=0 filters_raw="-" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.3 json_ms=0.3 total_ms=1.6
+2026-05-04T13:46:31.035921Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=321 cells_after_filter=269 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=0 filters_raw="-" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.3 json_ms=0.3 total_ms=1.6
+2026-05-04T13:46:33.389328Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=321 cells_after_filter=269 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=0 filters_raw="-" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.5 json_ms=0.2 total_ms=1.7
+2026-05-04T13:46:34.447908Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=112745 parallel=true cells_before_filter=400 cells_after_filter=353 truncated=false bounds=51.4958,-0.1756,51.5342,-0.0844 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.1 json_ms=0.2 total_ms=1.3
+2026-05-04T13:46:36.494248Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da49c3ffff resolution=9 total_count=238 filters=0 filters_raw="-" ms=0.2
+2026-05-04T13:46:36.813787Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=321 cells_after_filter=269 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=2.1 json_ms=0.2 total_ms=2.3
+2026-05-04T13:46:38.088286Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=321 cells_after_filter=269 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.1 json_ms=0.2 total_ms=1.3
+2026-05-04T13:46:41.614973Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=321 cells_after_filter=269 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.1 json_ms=0.2 total_ms=1.3
+2026-05-04T13:46:50.171562Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=112745 parallel=true cells_before_filter=400 cells_after_filter=353 truncated=false bounds=51.4958,-0.1756,51.5342,-0.0844 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.1 json_ms=0.2 total_ms=1.3
+2026-05-04T13:47:12.829662Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=112745 parallel=true cells_before_filter=400 cells_after_filter=353 truncated=false bounds=51.4958,-0.1756,51.5342,-0.0844 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.1 json_ms=0.2 total_ms=1.3
+2026-05-04T13:47:14.805046Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=112745 parallel=true cells_before_filter=400 cells_after_filter=353 truncated=false bounds=51.4958,-0.1756,51.5342,-0.0844 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.1 json_ms=0.3 total_ms=1.4
+2026-05-04T13:47:27.810231Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=112745 parallel=true cells_before_filter=400 cells_after_filter=353 truncated=false bounds=51.4958,-0.1756,51.5342,-0.0844 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.1 json_ms=0.2 total_ms=1.4
+2026-05-04T13:48:02.163972Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=112745 parallel=true cells_before_filter=400 cells_after_filter=353 truncated=false bounds=51.4958,-0.1756,51.5342,-0.0844 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.0 json_ms=0.2 total_ms=1.2
+2026-05-04T13:48:06.028262Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da4d6fffff resolution=9 total_count=634 filters=0 filters_raw="-" ms=0.5
+2026-05-04T13:48:06.434121Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=87992 parallel=true cells_before_filter=321 cells_after_filter=269 truncated=false bounds=51.4958,-0.1632,51.5342,-0.0968 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.3 json_ms=0.2 total_ms=1.5
+2026-05-04T13:48:40.137723Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T13:48:40.138972Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T13:48:40.386778Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=112745 parallel=true cells_before_filter=400 cells_after_filter=353 truncated=false bounds=51.4958,-0.1756,51.5342,-0.0844 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.0 json_ms=0.2 total_ms=1.3
+2026-05-04T13:48:55.297351Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=112745 parallel=true cells_before_filter=400 cells_after_filter=353 truncated=false bounds=51.4958,-0.1756,51.5342,-0.0844 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.2 json_ms=0.2 total_ms=1.4
+2026-05-04T13:49:44.931917Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T13:49:44.932172Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T13:49:47.823496Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T13:49:47.825102Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T13:50:44.529719Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T13:50:44.529961Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T13:50:44.529971Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T13:50:44.647846Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T13:50:44.647857Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T13:50:47.490388Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T13:50:47.490436Z  INFO property_map_server::data::property: Feature columns from config numeric=59 enums=6 total=65
+2026-05-04T13:50:48.724658Z  INFO property_map_server::data::property: Combined data selected rows=15268176
+2026-05-04T13:50:48.913363Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T13:50:49.330459Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T13:50:50.666878Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T13:50:52.118792Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T13:50:53.345347Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T13:50:56.253047Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1833881
+2026-05-04T13:50:56.253056Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T13:50:57.195604Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T13:51:03.033798Z  INFO property_map_server::data::property: Transposing to row-major layout (spatially sorted, quantized to u16)
+2026-05-04T13:51:05.921508Z  INFO property_map_server::data::property: Data loading complete
+2026-05-04T13:51:07.124198Z  INFO property_map_server: Property data loaded rows=15268176 features=65 enums=6
+2026-05-04T13:51:07.124209Z  INFO property_map_server: Building spatial grid index (0.01° cells)
+2026-05-04T13:51:07.223545Z  INFO property_map_server: Precomputing H3 cells at resolution 12
+2026-05-04T13:51:07.223556Z  INFO property_map_server::data::property: Precomputing H3 cells at resolution 12
+2026-05-04T13:51:07.651039Z  INFO property_map_server::data::property: H3 precomputation complete (15268176 cells)
+2026-05-04T13:51:07.651096Z  INFO property_map_server: Loading POI data from /app/data/filtered_uk_pois.parquet
+2026-05-04T13:51:07.651112Z  INFO property_map_server::data::poi: Loading POI data from "/app/data/filtered_uk_pois.parquet"...
+2026-05-04T13:51:07.674329Z  INFO property_map_server::data::poi: Loaded 552015 POIs
+2026-05-04T13:51:07.768215Z  INFO property_map_server::data::poi: POI string columns interned category_unique=74 group_unique=11 emoji_unique=71
+2026-05-04T13:51:07.768699Z  INFO property_map_server::data::poi: POI data loading complete.
+2026-05-04T13:51:07.813906Z  INFO property_map_server: POI data loaded pois=552015
+2026-05-04T13:51:07.813914Z  INFO property_map_server: Building POI spatial grid index
+2026-05-04T13:51:07.819923Z  INFO property_map_server: Loading place data from /app/data/places.parquet
+2026-05-04T13:51:07.819942Z  INFO property_map_server::data::places: Loading place data from "/app/data/places.parquet"...
+2026-05-04T13:51:07.820462Z  INFO property_map_server::data::places: Loaded 3474 places
+2026-05-04T13:51:07.821307Z  INFO property_map_server::data::places: Place data loaded places=3474 types=2 with_population=71 with_city=3392
+2026-05-04T13:51:07.821431Z  INFO property_map_server: Place data loaded places=3474
+2026-05-04T13:51:07.821442Z  INFO property_map_server: Loading postcode boundaries from /app/data/postcode_boundaries
+2026-05-04T13:51:07.821445Z  INFO property_map_server::data::postcodes: Loading postcode boundaries from "/app/data/postcode_boundaries"
+2026-05-04T13:51:07.822622Z  INFO property_map_server::data::postcodes: Found GeoJSON files to process files=2361
+2026-05-04T13:51:15.031068Z  INFO property_map_server::data::postcodes: Postcode boundary data ready postcodes=1490140
+2026-05-04T13:51:15.277115Z  INFO property_map_server: Postcode boundaries loaded postcodes=1490140
+2026-05-04T13:51:15.425831Z  INFO property_map_server::data::postcodes: Outcode data derived from postcodes outcodes=2361
+2026-05-04T13:51:15.425883Z  INFO property_map_server: Loading PMTiles from /app/data/uk.pmtiles
+2026-05-04T13:51:15.428328Z  INFO property_map_server: PMTiles loaded successfully
+2026-05-04T13:51:15.464401Z  INFO property_map_server: No --dist provided; static serving and OG injection disabled
+2026-05-04T13:51:15.492995Z  INFO property_map_server: Screenshot service configured: http://screenshot:8002
+2026-05-04T13:51:15.493150Z  INFO property_map_server: Precomputed features response groups=8
+2026-05-04T13:51:15.493166Z  INFO property_map_server: PocketBase configured: http://pocketbase:8090
+2026-05-04T13:51:15.552063Z  INFO property_map_server::pocketbase: PocketBase users collection already has all required fields
+2026-05-04T13:51:15.555546Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_searches' API rules updated
+2026-05-04T13:51:15.558796Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_properties' API rules updated
+2026-05-04T13:51:15.789464Z  INFO property_map_server::pocketbase: PocketBase meta.appURL set to https://perfect-postcodes.co.uk/pb
+2026-05-04T13:51:15.794059Z  INFO property_map_server::pocketbase: PocketBase OAuth configured on users collection
+2026-05-04T13:51:15.794099Z  INFO property_map_server: Gemini configured (model: gemini-3-flash-preview)
+2026-05-04T13:51:15.794115Z  INFO property_map_server: Loading travel time data from /app/data/travel-times
+2026-05-04T13:51:15.795606Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="bicycle" destinations=2753
+2026-05-04T13:51:15.796829Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="walking" destinations=2753
+2026-05-04T13:51:15.798127Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="car" destinations=2753
+2026-05-04T13:51:15.799228Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="transit" destinations=2752
+2026-05-04T13:51:15.799247Z  INFO property_map_server: Travel time store loaded modes=4
+2026-05-04T13:51:15.799291Z  INFO property_map_server: Precomputed AI filters system prompt
+2026-05-04T13:51:18.578193Z  INFO property_map_server: All memory pages locked (mlockall)
+2026-05-04T13:51:18.578233Z  INFO property_map_server: Server listening on 0.0.0.0:8001
+2026-05-04T13:53:44.641552Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T13:53:44.641728Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T13:53:44.641734Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T13:53:44.731708Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T13:53:44.731716Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T13:53:54.076915Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T13:53:54.077138Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T13:53:54.077149Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T13:53:54.145174Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T13:53:54.145183Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T13:53:56.759389Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T14:31:10.692075Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T14:31:10.692240Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T14:31:10.692245Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T14:31:10.770532Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T14:31:10.770541Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T14:31:13.301445Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T14:31:13.301488Z  INFO property_map_server::data::property: Feature columns from config numeric=63 enums=6 total=69
+2026-05-04T14:31:14.328175Z  INFO property_map_server::data::property: Combined data selected rows=15268176
+2026-05-04T14:31:14.492406Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T14:31:14.931304Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T14:31:16.230106Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T14:31:17.750814Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T14:31:18.991972Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T14:31:21.744870Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1833881
+2026-05-04T14:31:21.744880Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T14:31:22.588439Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T14:31:27.983422Z  INFO property_map_server::data::property: Transposing to row-major layout (spatially sorted, quantized to u16)
+2026-05-04T14:31:30.723144Z  INFO property_map_server::data::property: Data loading complete
+2026-05-04T14:31:31.783835Z  INFO property_map_server: Property data loaded rows=15268176 features=69 enums=6
+2026-05-04T14:31:31.783844Z  INFO property_map_server: Building spatial grid index (0.01° cells)
+2026-05-04T14:31:31.878503Z  INFO property_map_server: Precomputing H3 cells at resolution 12
+2026-05-04T14:31:31.878511Z  INFO property_map_server::data::property: Precomputing H3 cells at resolution 12
+2026-05-04T14:31:32.244667Z  INFO property_map_server::data::property: H3 precomputation complete (15268176 cells)
+2026-05-04T14:31:32.244690Z  INFO property_map_server: Loading POI data from /app/data/filtered_uk_pois.parquet
+2026-05-04T14:31:32.244696Z  INFO property_map_server::data::poi: Loading POI data from "/app/data/filtered_uk_pois.parquet"...
+2026-05-04T14:31:32.278580Z  INFO property_map_server::data::poi: Loaded 552015 POIs
+2026-05-04T14:31:32.369662Z  INFO property_map_server::data::poi: POI string columns interned category_unique=74 group_unique=11 emoji_unique=71
+2026-05-04T14:31:32.370182Z  INFO property_map_server::data::poi: POI data loading complete.
+2026-05-04T14:31:32.399621Z  INFO property_map_server: POI data loaded pois=552015
+2026-05-04T14:31:32.399629Z  INFO property_map_server: Building POI spatial grid index
+2026-05-04T14:31:32.404166Z  INFO property_map_server: Loading place data from /app/data/places.parquet
+2026-05-04T14:31:32.404180Z  INFO property_map_server::data::places: Loading place data from "/app/data/places.parquet"...
+2026-05-04T14:31:32.405304Z  INFO property_map_server::data::places: Loaded 3474 places
+2026-05-04T14:31:32.406023Z  INFO property_map_server::data::places: Place data loaded places=3474 types=2 with_population=71 with_city=3392
+2026-05-04T14:31:32.406072Z  INFO property_map_server: Place data loaded places=3474
+2026-05-04T14:31:32.406081Z  INFO property_map_server: Loading postcode boundaries from /app/data/postcode_boundaries
+2026-05-04T14:31:32.406084Z  INFO property_map_server::data::postcodes: Loading postcode boundaries from "/app/data/postcode_boundaries"
+2026-05-04T14:31:32.409062Z  INFO property_map_server::data::postcodes: Found GeoJSON files to process files=2361
+2026-05-04T14:31:39.345710Z  INFO property_map_server::data::postcodes: Postcode boundary data ready postcodes=1490140
+2026-05-04T14:31:39.568740Z  INFO property_map_server: Postcode boundaries loaded postcodes=1490140
+2026-05-04T14:31:39.703157Z  INFO property_map_server::data::postcodes: Outcode data derived from postcodes outcodes=2361
+2026-05-04T14:31:39.703207Z  INFO property_map_server: Loading PMTiles from /app/data/uk.pmtiles
+2026-05-04T14:31:39.724884Z  INFO property_map_server: PMTiles loaded successfully
+2026-05-04T14:31:39.760013Z  INFO property_map_server: No --dist provided; static serving and OG injection disabled
+2026-05-04T14:31:39.786139Z  INFO property_map_server: Screenshot service configured: http://screenshot:8002
+2026-05-04T14:31:39.786281Z  INFO property_map_server: Precomputed features response groups=8
+2026-05-04T14:31:39.786295Z  INFO property_map_server: PocketBase configured: http://pocketbase:8090
+2026-05-04T14:31:39.846657Z  INFO property_map_server::pocketbase: PocketBase users collection already has all required fields
+2026-05-04T14:31:39.849446Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_searches' API rules updated
+2026-05-04T14:31:39.853086Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_properties' API rules updated
+2026-05-04T14:31:39.920258Z  INFO property_map_server::pocketbase: PocketBase meta.appURL set to https://perfect-postcodes.co.uk/pb
+2026-05-04T14:31:39.923617Z  INFO property_map_server::pocketbase: PocketBase OAuth configured on users collection
+2026-05-04T14:31:39.923633Z  INFO property_map_server: Gemini configured (model: gemini-3-flash-preview)
+2026-05-04T14:31:39.923647Z  INFO property_map_server: Loading travel time data from /app/data/travel-times
+2026-05-04T14:31:39.932375Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="bicycle" destinations=2753
+2026-05-04T14:31:39.938793Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="walking" destinations=2753
+2026-05-04T14:31:39.946169Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="car" destinations=2753
+2026-05-04T14:31:39.953284Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="transit" destinations=2752
+2026-05-04T14:31:39.953306Z  INFO property_map_server: Travel time store loaded modes=4
+2026-05-04T14:31:39.953349Z  INFO property_map_server: Precomputed AI filters system prompt
+2026-05-04T14:31:46.702254Z  INFO property_map_server: All memory pages locked (mlockall)
+2026-05-04T14:31:46.702301Z  INFO property_map_server: Server listening on 0.0.0.0:8001
+2026-05-04T14:31:51.507147Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T14:31:51.532181Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T14:31:51.717412Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=56189 parallel=true cells_before_filter=241 cells_after_filter=207 truncated=false bounds=51.4958,-0.1549,51.5342,-0.1051 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=5.0 json_ms=0.1 total_ms=5.1
+2026-05-04T14:31:57.248517Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da4903ffff resolution=9 total_count=149 filters=0 filters_raw="-" ms=0.2
+2026-05-04T14:31:57.642670Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=27748 parallel=false cells_before_filter=135 cells_after_filter=121 truncated=false bounds=51.4958,-0.1426,51.5342,-0.1174 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=0.5 json_ms=0.1 total_ms=0.6
+2026-05-04T14:31:58.276708Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=73878 parallel=true cells_before_filter=295 cells_after_filter=258 truncated=false bounds=51.4844,-0.1493,51.5444,-0.1100 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=2.8 json_ms=0.1 total_ms=2.9
+2026-05-04T14:32:01.453197Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=143757 parallel=true cells_before_filter=507 cells_after_filter=459 truncated=false bounds=51.4844,-0.1685,51.5444,-0.0908 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=4.0 json_ms=0.4 total_ms=4.5
+2026-05-04T14:32:09.459548Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da49c3ffff resolution=9 total_count=238 filters=0 filters_raw="-" ms=0.2
+2026-05-04T14:32:09.912728Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=73878 parallel=true cells_before_filter=295 cells_after_filter=258 truncated=false bounds=51.4844,-0.1493,51.5444,-0.1100 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.4 json_ms=0.1 total_ms=1.5
+2026-05-04T14:32:16.916947Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=179777 parallel=true cells_before_filter=622 cells_after_filter=588 truncated=false bounds=51.4844,-0.1814,51.5444,-0.0779 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.8 json_ms=0.4 total_ms=2.2
+2026-05-04T14:32:29.276245Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=164098 parallel=true cells_before_filter=564 cells_after_filter=463 truncated=false bounds=51.4873,-0.1732,51.5415,-0.0861 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.5 json_ms=0.4 total_ms=1.8
+2026-05-04T14:32:37.278425Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=179777 parallel=true cells_before_filter=622 cells_after_filter=588 truncated=false bounds=51.4844,-0.1814,51.5444,-0.0779 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.2 json_ms=0.3 total_ms=1.5
+2026-05-04T14:32:48.595193Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da49c3ffff resolution=9 total_count=238 filters=1 filters_raw="Estimated current price:12976.594:inf" ms=0.2
+2026-05-04T14:32:48.750130Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=179777 parallel=true cells_before_filter=620 cells_after_filter=586 truncated=false bounds=51.4844,-0.1814,51.5444,-0.0779 filters=1 filters_raw="Estimated current price:12976.594:inf" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.7 json_ms=0.3 total_ms=2.0
+2026-05-04T14:32:48.999873Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=179777 filters=1 travel=0 total=179708 filters_raw="Estimated current price:12976.594:inf" ms=3.8
+2026-05-04T14:32:52.684282Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=179777 parallel=true cells_before_filter=622 cells_after_filter=588 truncated=false bounds=51.4844,-0.1814,51.5444,-0.0779 filters=0 filters_raw="-" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.6 json_ms=0.5 total_ms=2.1
+2026-05-04T14:32:52.838429Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=179777 parallel=true cells_before_filter=620 cells_after_filter=586 truncated=false bounds=51.4844,-0.1814,51.5444,-0.0779 filters=1 filters_raw="Estimated current price:12976.594:inf" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.8 json_ms=0.4 total_ms=2.3
+2026-05-04T14:32:53.423498Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da49c3ffff resolution=9 total_count=83 filters=1 filters_raw="Estimated current price:870000:inf" ms=0.2
+2026-05-04T14:32:53.572475Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=179777 parallel=true cells_before_filter=604 cells_after_filter=575 truncated=false bounds=51.4844,-0.1814,51.5444,-0.0779 filters=1 filters_raw="Estimated current price:870000:inf" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.5 json_ms=0.3 total_ms=1.7
+2026-05-04T14:32:53.828525Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=179777 filters=1 travel=0 total=74949 filters_raw="Estimated current price:870000:inf" ms=4.2
+2026-05-04T14:32:54.216219Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=179777 parallel=true cells_before_filter=622 cells_after_filter=588 truncated=false bounds=51.4844,-0.1814,51.5444,-0.0779 filters=0 filters_raw="-" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.6 json_ms=0.4 total_ms=2.0
+2026-05-04T14:32:54.371206Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=179777 parallel=true cells_before_filter=604 cells_after_filter=575 truncated=false bounds=51.4844,-0.1814,51.5444,-0.0779 filters=1 filters_raw="Estimated current price:870000:inf" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.7 json_ms=0.4 total_ms=2.1
+2026-05-04T14:32:54.620982Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da49c3ffff resolution=9 total_count=39 filters=1 filters_raw="Estimated current price:870000:1900000" ms=0.2
+2026-05-04T14:32:54.776298Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=179777 parallel=true cells_before_filter=595 cells_after_filter=566 truncated=false bounds=51.4844,-0.1814,51.5444,-0.0779 filters=1 filters_raw="Estimated current price:870000:1900000" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.7 json_ms=0.3 total_ms=2.0
+2026-05-04T14:32:55.026138Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=179777 filters=1 travel=0 total=47437 filters_raw="Estimated current price:870000:1900000" ms=4.1
+2026-05-04T14:33:15.166790Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da49c3ffff resolution=9 total_count=39 filters=2 filters_raw="Estimated current price:870000:1900000;;Outstanding primary schools within 2km:0:13" ms=0.1
+2026-05-04T14:33:15.318640Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=179777 parallel=true cells_before_filter=595 cells_after_filter=566 truncated=false bounds=51.4844,-0.1814,51.5444,-0.0779 filters=2 filters_raw="Estimated current price:870000:1900000;;Outstanding primary schools within 2km:0:13" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.6 json_ms=0.3 total_ms=1.9
+2026-05-04T14:33:15.569035Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=179777 filters=2 travel=0 total=47437 filters_raw="Estimated current price:870000:1900000;;Outstanding primary schools within 2km:0:13" ms=1.6
+2026-05-04T14:33:17.371167Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da49c3ffff resolution=9 total_count=238 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.2
+2026-05-04T14:33:17.523252Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=179777 parallel=true cells_before_filter=622 cells_after_filter=588 truncated=false bounds=51.4844,-0.1814,51.5444,-0.0779 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.6 json_ms=0.3 total_ms=1.9
+2026-05-04T14:33:17.776356Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=179777 filters=1 travel=0 total=179777 filters_raw="Outstanding primary schools within 2km:0:13" ms=3.9
+2026-05-04T14:33:18.237582Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=179777 parallel=true cells_before_filter=622 cells_after_filter=588 truncated=false bounds=51.4844,-0.1814,51.5444,-0.0779 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.7 json_ms=0.5 total_ms=2.2
+2026-05-04T14:33:18.540811Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=88195da49dfffff resolution=8 total_count=1598 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" ms=1.0
+2026-05-04T14:33:18.822161Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=1602025 parallel=true cells_before_filter=1488 cells_after_filter=1480 truncated=false bounds=51.3754,-0.3056,51.6381,0.1482 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=9.3 json_ms=1.0 total_ms=10.3
+2026-05-04T14:33:19.412747Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=2263942 parallel=true cells_before_filter=3315 cells_after_filter=3312 truncated=false bounds=51.2909,-0.4016,51.7105,0.3228 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=12.7 json_ms=2.3 total_ms=15.0
+2026-05-04T14:33:19.641678Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=2263942 filters=1 travel=0 total=2263942 filters_raw="Outstanding primary schools within 2km:0:13" ms=46.8
+2026-05-04T14:33:20.426369Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=2334757 parallel=true cells_before_filter=3349 cells_after_filter=3349 truncated=false bounds=51.2935,-0.4698,51.7130,0.2546 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=14.4 json_ms=2.4 total_ms=16.8
+2026-05-04T14:33:20.840217Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=2334757 filters=1 travel=0 total=2334757 filters_raw="Outstanding primary schools within 2km:0:13" ms=47.0
+2026-05-04T14:33:23.190164Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=2156194 parallel=true cells_before_filter=3332 cells_after_filter=3319 truncated=false bounds=51.2216,-0.3539,51.6417,0.3705 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=11.6 json_ms=2.2 total_ms=13.8
+2026-05-04T14:33:23.371568Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da49c3ffff resolution=9 total_count=238 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.2
+2026-05-04T14:33:23.751648Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=301975 parallel=true cells_before_filter=2185 cells_after_filter=2155 truncated=false bounds=51.3506,-0.1079,51.4782,0.1121 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=3.7 json_ms=1.8 total_ms=5.5
+2026-05-04T14:33:24.061511Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=301975 filters=1 travel=0 total=301975 filters_raw="Outstanding primary schools within 2km:0:13" ms=8.8
+2026-05-04T14:33:24.888926Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=52244 parallel=true cells_before_filter=459 cells_after_filter=389 truncated=false bounds=51.3783,-0.0363,51.4272,0.0480 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.0 json_ms=0.3 total_ms=1.3
+2026-05-04T14:33:25.067179Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=52244 filters=1 travel=0 total=52244 filters_raw="Outstanding primary schools within 2km:0:13" ms=1.2
+2026-05-04T14:33:26.723712Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=88195da49dfffff resolution=8 total_count=1598 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.8
+2026-05-04T14:33:26.992552Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=1558206 parallel=true cells_before_filter=1688 cells_after_filter=1688 truncated=false bounds=51.3034,-0.2613,51.5918,0.2362 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=9.0 json_ms=1.1 total_ms=10.2
+2026-05-04T14:33:27.323082Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=1558206 filters=1 travel=0 total=1558206 filters_raw="Outstanding primary schools within 2km:0:13" ms=39.0
+2026-05-04T14:33:28.721780Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da49c3ffff resolution=9 total_count=238 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.2
+2026-05-04T14:33:29.038229Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=100651 parallel=true cells_before_filter=797 cells_after_filter=766 truncated=false bounds=51.3768,-0.0602,51.4478,0.0622 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.6 json_ms=0.5 total_ms=2.1
+2026-05-04T14:33:29.296078Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=100651 filters=1 travel=0 total=100651 filters_raw="Outstanding primary schools within 2km:0:13" ms=2.3
+2026-05-04T14:33:30.167958Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=25448 parallel=false cells_before_filter=204 cells_after_filter=163 truncated=false bounds=51.3934,-0.0199,51.4212,0.0281 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.1 json_ms=0.1 total_ms=1.2
+2026-05-04T14:33:30.338111Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=25448 filters=1 travel=0 total=25448 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.6
+2026-05-04T14:33:35.577099Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=17074 parallel=false cells_before_filter=130 cells_after_filter=118 truncated=false bounds=51.3951,-0.0175,51.4192,0.0241 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=0.8 json_ms=0.1 total_ms=0.9
+2026-05-04T14:33:35.743827Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=17074 filters=1 travel=0 total=17074 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.6
+2026-05-04T14:33:36.299182Z  INFO property_map_server::routes::postcodes: GET /api/postcode/W1U 2LR postcode=W1U 2LR
+2026-05-04T14:33:36.341268Z  INFO property_map_server::routes::postcode_stats: GET /api/postcode-stats postcode=W1U 2LR total_count=1 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.2
+2026-05-04T14:33:36.664276Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=449 postcodes_after_filter=196 filtered_out=253 truncated=false bounds=51.401237,-0.008369,51.411859,0.009937 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 agg_ms=0.6 json_ms=0.5 total_ms=1.1
+2026-05-04T14:33:37.141608Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=164 postcodes_after_filter=79 filtered_out=85 truncated=false bounds=51.403465,-0.005049,51.409166,0.004775 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 agg_ms=0.3 json_ms=0.2 total_ms=0.5
+2026-05-04T14:33:37.644049Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=164 postcodes_after_filter=42 filtered_out=122 truncated=false bounds=51.404354,-0.003724,51.408091,0.002716 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 agg_ms=0.3 json_ms=0.1 total_ms=0.4
+2026-05-04T14:33:37.842440Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=2531 filters=1 travel=0 total=2531 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.1
+2026-05-04T14:33:42.478048Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=164 postcodes_after_filter=79 filtered_out=85 truncated=false bounds=51.403364,-0.006206,51.409177,0.003811 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 agg_ms=0.2 json_ms=0.2 total_ms=0.4
+2026-05-04T14:33:42.923293Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=275 postcodes_after_filter=164 filtered_out=111 truncated=false bounds=51.401362,-0.011222,51.411370,0.006025 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 agg_ms=0.5 json_ms=0.4 total_ms=0.8
+2026-05-04T14:33:43.171767Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=4440 filters=1 travel=0 total=4440 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.1
+2026-05-04T14:33:43.762521Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=844 postcodes_after_filter=342 filtered_out=502 truncated=false bounds=51.399198,-0.016690,51.413809,0.008490 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 agg_ms=1.1 json_ms=0.8 total_ms=1.9
+2026-05-04T14:33:43.920897Z  INFO property_map_server::routes::postcodes: GET /api/postcode/W1U 2LR postcode=W1U 2LR
+2026-05-04T14:33:43.957532Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89195da49c3ffff resolution=9 total_count=238 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.2
+2026-05-04T14:33:44.112091Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=17149 parallel=false cells_before_filter=136 cells_after_filter=113 truncated=false bounds=51.3957,-0.0256,51.4178,0.0125 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=0.9 json_ms=0.1 total_ms=1.0
+2026-05-04T14:33:44.601712Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=30992 parallel=false cells_before_filter=242 cells_after_filter=209 truncated=false bounds=51.3905,-0.0387,51.4236,0.0184 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.4 json_ms=0.2 total_ms=1.6
+2026-05-04T14:33:44.857771Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=30992 filters=1 travel=0 total=30992 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.7
+2026-05-04T14:33:45.128264Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=58743 parallel=true cells_before_filter=440 cells_after_filter=365 truncated=false bounds=51.3844,-0.0540,51.4305,0.0253 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.1 json_ms=0.3 total_ms=1.4
+2026-05-04T14:33:45.557365Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=90373 parallel=true cells_before_filter=649 cells_after_filter=600 truncated=false bounds=51.3765,-0.0741,51.4396,0.0346 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.3 json_ms=0.6 total_ms=1.9
+2026-05-04T14:33:45.851696Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=90373 filters=1 travel=0 total=90373 filters_raw="Outstanding primary schools within 2km:0:13" ms=1.9
+2026-05-04T14:33:46.858702Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=124648 parallel=true cells_before_filter=876 cells_after_filter=841 truncated=false bounds=51.3708,-0.0859,51.4455,0.0428 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.9 json_ms=0.6 total_ms=2.5
+2026-05-04T14:33:47.121801Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=58743 parallel=true cells_before_filter=440 cells_after_filter=413 truncated=false bounds=51.3826,-0.0617,51.4328,0.0247 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.3 json_ms=0.3 total_ms=1.6
+2026-05-04T14:33:47.372102Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=58743 filters=1 travel=0 total=58743 filters_raw="Outstanding primary schools within 2km:0:13" ms=1.3
+2026-05-04T14:33:47.675721Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=31768 parallel=false cells_before_filter=246 cells_after_filter=213 truncated=false bounds=51.3907,-0.0450,51.4240,0.0123 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.4 json_ms=0.2 total_ms=1.5
+2026-05-04T14:33:47.963908Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=31768 filters=1 travel=0 total=31768 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.8
+2026-05-04T14:33:48.676909Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89194ad081bffff resolution=9 total_count=278 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.2
+2026-05-04T14:34:07.291746Z  INFO property_map_server::routes::postcodes: GET /api/postcode/BR3 5JY postcode=BR3 5JY
+2026-05-04T14:34:07.337676Z  INFO property_map_server::routes::postcode_stats: GET /api/postcode-stats postcode=BR3 5JY total_count=18 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.2
+2026-05-04T14:34:07.623688Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=591 postcodes_after_filter=333 filtered_out=258 truncated=false bounds=51.399702,-0.030968,51.413517,-0.007161 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 agg_ms=0.9 json_ms=0.8 total_ms=1.7
+2026-05-04T14:34:07.924087Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=9452 filters=1 travel=0 total=9452 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.3
+2026-05-04T14:34:09.293016Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=178 postcodes_after_filter=72 filtered_out=106 truncated=false bounds=51.404221,-0.024351,51.409255,-0.015675 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 agg_ms=0.3 json_ms=0.3 total_ms=0.6
+2026-05-04T14:34:09.455756Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=2920 filters=1 travel=0 total=2920 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.2
+2026-05-04T14:34:10.275828Z  INFO property_map_server::routes::postcodes: GET /api/postcodes postcodes_before_filter=591 postcodes_after_filter=376 filtered_out=215 truncated=false bounds=51.399312,-0.031939,51.414400,-0.005937 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 agg_ms=0.8 json_ms=0.8 total_ms=1.6
+2026-05-04T14:34:10.668283Z  INFO property_map_server::routes::postcodes: GET /api/postcode/BR3 5JY postcode=BR3 5JY
+2026-05-04T14:34:10.687952Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89194ad081bffff resolution=9 total_count=278 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.3
+2026-05-04T14:34:11.040399Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=21245 parallel=false cells_before_filter=178 cells_after_filter=156 truncated=false bounds=51.3928,-0.0420,51.4212,0.0070 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=1.0 json_ms=0.1 total_ms=1.1
+2026-05-04T14:34:11.286312Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=21245 filters=1 travel=0 total=21245 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.4
+2026-05-04T14:34:12.012889Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=161883 parallel=true cells_before_filter=1198 cells_after_filter=1082 truncated=false bounds=51.3649,-0.0851,51.4504,0.0622 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=2.1 json_ms=1.0 total_ms=3.1
+2026-05-04T14:34:12.261721Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=161883 filters=1 travel=0 total=161883 filters_raw="Outstanding primary schools within 2km:0:13" ms=3.5
+2026-05-04T14:34:12.746648Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=470957 parallel=true cells_before_filter=3265 cells_after_filter=3177 truncated=false bounds=51.3272,-0.1433,51.4898,0.1370 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=4.9 json_ms=2.4 total_ms=7.3
+2026-05-04T14:34:13.052992Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=470957 filters=1 travel=0 total=470957 filters_raw="Outstanding primary schools within 2km:0:13" ms=9.4
+2026-05-04T14:34:13.508014Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=88194ad081fffff resolution=8 total_count=1405 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.8
+2026-05-04T14:34:14.440891Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=1862424 parallel=true cells_before_filter=2958 cells_after_filter=2956 truncated=false bounds=51.1865,-0.3462,51.5872,0.3441 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=10.7 json_ms=2.0 total_ms=12.8
+2026-05-04T14:34:14.711749Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=1862424 filters=1 travel=0 total=1862424 filters_raw="Outstanding primary schools within 2km:0:13" ms=38.7
+2026-05-04T14:34:15.156985Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=87194ad08ffffff resolution=7 total_count=7295 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" ms=2.9
+2026-05-04T14:34:15.549940Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=7 rows=2444899 parallel=true cells_before_filter=856 cells_after_filter=856 truncated=false bounds=51.1151,-0.4488,51.6364,0.4489 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=14.1 json_ms=0.6 total_ms=14.6
+2026-05-04T14:34:15.833608Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=2444899 filters=1 travel=0 total=2444899 filters_raw="Outstanding primary schools within 2km:0:13" ms=51.3
+2026-05-04T14:34:16.312869Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=88194ad081fffff resolution=8 total_count=1405 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.6
+2026-05-04T14:34:16.581112Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=8 rows=1270423 parallel=true cells_before_filter=1665 cells_after_filter=1661 truncated=false bounds=51.2543,-0.2492,51.5428,0.2477 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=7.1 json_ms=1.1 total_ms=8.2
+2026-05-04T14:34:16.847353Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=1270423 filters=1 travel=0 total=1270423 filters_raw="Outstanding primary schools within 2km:0:13" ms=26.0
+2026-05-04T14:34:17.416752Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89194ad0803ffff resolution=9 total_count=202 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" ms=0.2
+2026-05-04T14:34:18.201389Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=170779 parallel=true cells_before_filter=1222 cells_after_filter=1144 truncated=false bounds=51.3742,-0.0770,51.4618,0.0741 filters=1 filters_raw="Outstanding primary schools within 2km:0:13" fields=1 travel_entries=0 grid_ms=0.0 agg_ms=2.3 json_ms=1.1 total_ms=3.3
+2026-05-04T14:34:18.400185Z  INFO property_map_server::routes::filter_counts: GET /api/filter-counts rows=170779 filters=1 travel=0 total=170779 filters_raw="Outstanding primary schools within 2km:0:13" ms=3.7
+2026-05-04T14:34:26.482929Z  INFO property_map_server::routes::hexagon_stats: GET /api/hexagon-stats h3=89194ad0803ffff resolution=9 total_count=202 filters=0 filters_raw="-" ms=0.2
+2026-05-04T14:34:26.627227Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=170779 parallel=true cells_before_filter=1222 cells_after_filter=1144 truncated=false bounds=51.3742,-0.0770,51.4618,0.0741 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.8 json_ms=0.6 total_ms=2.4
+2026-05-04T14:38:00.527629Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=68556 parallel=true cells_before_filter=488 cells_after_filter=464 truncated=false bounds=51.3742,-0.0301,51.4618,0.0272 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=0.9 json_ms=0.3 total_ms=1.2
+2026-05-04T14:38:02.040293Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T14:38:02.043451Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T14:38:02.318550Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=128410 parallel=true cells_before_filter=944 cells_after_filter=896 truncated=false bounds=51.3737,-0.0587,51.4622,0.0559 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.5 json_ms=0.5 total_ms=2.0
+2026-05-04T14:40:44.080735Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T14:40:44.080967Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T14:40:44.353028Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=128410 parallel=true cells_before_filter=944 cells_after_filter=896 truncated=false bounds=51.3737,-0.0587,51.4622,0.0559 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=2.1 json_ms=0.5 total_ms=2.6
+2026-05-04T14:43:25.353372Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T14:43:25.353548Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T14:43:25.353561Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T14:43:25.424150Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T14:43:25.424161Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T14:43:27.935972Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T14:43:27.936004Z  INFO property_map_server::data::property: Feature columns from config numeric=63 enums=6 total=69
+2026-05-04T14:43:29.184640Z  INFO property_map_server::data::property: Combined data selected rows=15268176
+2026-05-04T14:43:29.335896Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T14:43:29.748085Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T14:43:30.943285Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T14:43:32.310146Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T14:43:33.521409Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T14:43:36.402602Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1833881
+2026-05-04T14:43:36.402611Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T14:43:37.307204Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T14:43:43.199862Z  INFO property_map_server::data::property: Transposing to row-major layout (spatially sorted, quantized to u16)
+2026-05-04T14:43:47.662961Z  INFO property_map_server::data::property: Data loading complete
+2026-05-04T14:43:48.770921Z  INFO property_map_server: Property data loaded rows=15268176 features=69 enums=6
+2026-05-04T14:43:48.770930Z  INFO property_map_server: Building spatial grid index (0.01° cells)
+2026-05-04T14:43:48.868765Z  INFO property_map_server: Precomputing H3 cells at resolution 12
+2026-05-04T14:43:48.868775Z  INFO property_map_server::data::property: Precomputing H3 cells at resolution 12
+2026-05-04T14:43:49.270467Z  INFO property_map_server::data::property: H3 precomputation complete (15268176 cells)
+2026-05-04T14:43:49.270503Z  INFO property_map_server: Loading POI data from /app/data/filtered_uk_pois.parquet
+2026-05-04T14:43:49.270508Z  INFO property_map_server::data::poi: Loading POI data from "/app/data/filtered_uk_pois.parquet"...
+2026-05-04T14:43:49.291576Z  INFO property_map_server::data::poi: Loaded 552015 POIs
+2026-05-04T14:43:49.386151Z  INFO property_map_server::data::poi: POI string columns interned category_unique=74 group_unique=11 emoji_unique=71
+2026-05-04T14:43:49.386625Z  INFO property_map_server::data::poi: POI data loading complete.
+2026-05-04T14:43:49.421252Z  INFO property_map_server: POI data loaded pois=552015
+2026-05-04T14:43:49.421262Z  INFO property_map_server: Building POI spatial grid index
+2026-05-04T14:43:49.426093Z  INFO property_map_server: Loading place data from /app/data/places.parquet
+2026-05-04T14:43:49.426101Z  INFO property_map_server::data::places: Loading place data from "/app/data/places.parquet"...
+2026-05-04T14:43:49.426566Z  INFO property_map_server::data::places: Loaded 3474 places
+2026-05-04T14:43:49.427303Z  INFO property_map_server::data::places: Place data loaded places=3474 types=2 with_population=71 with_city=3392
+2026-05-04T14:43:49.427358Z  INFO property_map_server: Place data loaded places=3474
+2026-05-04T14:43:49.427367Z  INFO property_map_server: Loading postcode boundaries from /app/data/postcode_boundaries
+2026-05-04T14:43:49.427370Z  INFO property_map_server::data::postcodes: Loading postcode boundaries from "/app/data/postcode_boundaries"
+2026-05-04T14:43:49.434429Z  INFO property_map_server::data::postcodes: Found GeoJSON files to process files=2361
+2026-05-04T14:43:57.689320Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T14:43:57.689487Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T14:43:57.689495Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T14:43:57.756878Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T14:43:57.756888Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T14:44:00.210212Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T14:44:00.210250Z  INFO property_map_server::data::property: Feature columns from config numeric=63 enums=6 total=69
+2026-05-04T14:44:01.218979Z  INFO property_map_server::data::property: Combined data selected rows=15268176
+2026-05-04T14:44:01.363479Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T14:44:01.740585Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T14:44:02.963779Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T14:44:04.340532Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T14:44:05.582283Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T14:44:08.448995Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1833881
+2026-05-04T14:44:08.449004Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T14:44:09.312354Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T14:44:14.627999Z  INFO property_map_server::data::property: Transposing to row-major layout (spatially sorted, quantized to u16)
+2026-05-04T14:44:22.690885Z  INFO property_map_server::data::property: Data loading complete
+2026-05-04T14:44:24.021349Z  INFO property_map_server: Property data loaded rows=15268176 features=69 enums=6
+2026-05-04T14:44:24.021359Z  INFO property_map_server: Building spatial grid index (0.01° cells)
+2026-05-04T14:44:24.127984Z  INFO property_map_server: Precomputing H3 cells at resolution 12
+2026-05-04T14:44:24.127994Z  INFO property_map_server::data::property: Precomputing H3 cells at resolution 12
+2026-05-04T14:44:24.552707Z  INFO property_map_server::data::property: H3 precomputation complete (15268176 cells)
+2026-05-04T14:44:24.552729Z  INFO property_map_server: Loading POI data from /app/data/filtered_uk_pois.parquet
+2026-05-04T14:44:24.552735Z  INFO property_map_server::data::poi: Loading POI data from "/app/data/filtered_uk_pois.parquet"...
+2026-05-04T14:44:24.572951Z  INFO property_map_server::data::poi: Loaded 552015 POIs
+2026-05-04T14:44:24.669847Z  INFO property_map_server::data::poi: POI string columns interned category_unique=74 group_unique=11 emoji_unique=71
+2026-05-04T14:44:24.670324Z  INFO property_map_server::data::poi: POI data loading complete.
+2026-05-04T14:44:24.702559Z  INFO property_map_server: POI data loaded pois=552015
+2026-05-04T14:44:24.702568Z  INFO property_map_server: Building POI spatial grid index
+2026-05-04T14:44:24.707240Z  INFO property_map_server: Loading place data from /app/data/places.parquet
+2026-05-04T14:44:24.707248Z  INFO property_map_server::data::places: Loading place data from "/app/data/places.parquet"...
+2026-05-04T14:44:24.707755Z  INFO property_map_server::data::places: Loaded 3474 places
+2026-05-04T14:44:24.708477Z  INFO property_map_server::data::places: Place data loaded places=3474 types=2 with_population=71 with_city=3392
+2026-05-04T14:44:24.708540Z  INFO property_map_server: Place data loaded places=3474
+2026-05-04T14:44:24.708549Z  INFO property_map_server: Loading postcode boundaries from /app/data/postcode_boundaries
+2026-05-04T14:44:24.708560Z  INFO property_map_server::data::postcodes: Loading postcode boundaries from "/app/data/postcode_boundaries"
+2026-05-04T14:44:24.709358Z  INFO property_map_server::data::postcodes: Found GeoJSON files to process files=2361
+2026-05-04T14:44:31.282327Z  INFO property_map_server::data::postcodes: Postcode boundary data ready postcodes=1490140
+2026-05-04T14:44:31.506259Z  INFO property_map_server: Postcode boundaries loaded postcodes=1490140
+2026-05-04T14:44:31.642818Z  INFO property_map_server::data::postcodes: Outcode data derived from postcodes outcodes=2361
+2026-05-04T14:44:31.642868Z  INFO property_map_server: Loading PMTiles from /app/data/uk.pmtiles
+2026-05-04T14:44:31.689370Z  INFO property_map_server: PMTiles loaded successfully
+2026-05-04T14:44:31.723714Z  INFO property_map_server: No --dist provided; static serving and OG injection disabled
+2026-05-04T14:44:31.759973Z  INFO property_map_server: Screenshot service configured: http://screenshot:8002
+2026-05-04T14:44:31.760116Z  INFO property_map_server: Precomputed features response groups=8
+2026-05-04T14:44:31.760129Z  INFO property_map_server: PocketBase configured: http://pocketbase:8090
+2026-05-04T14:44:31.813314Z  INFO property_map_server::pocketbase: PocketBase users collection already has all required fields
+2026-05-04T14:44:31.828476Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_searches' API rules updated
+2026-05-04T14:44:31.831588Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_properties' API rules updated
+2026-05-04T14:44:38.915084Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T14:44:38.915260Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T14:44:38.915272Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T14:44:38.981199Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T14:44:38.981208Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T14:44:41.363555Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T14:44:41.363588Z  INFO property_map_server::data::property: Feature columns from config numeric=63 enums=6 total=69
+2026-05-04T14:44:42.373496Z  INFO property_map_server::data::property: Combined data selected rows=15268176
+2026-05-04T14:44:42.521912Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T14:44:42.883334Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T14:44:44.153161Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T14:44:45.451485Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T14:44:46.669106Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T14:44:49.452139Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1833881
+2026-05-04T14:44:49.452147Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T14:44:50.299195Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T14:44:55.611183Z  INFO property_map_server::data::property: Transposing to row-major layout (spatially sorted, quantized to u16)
+2026-05-04T14:45:00.089264Z  INFO property_map_server::data::property: Data loading complete
+2026-05-04T14:45:01.132313Z  INFO property_map_server: Property data loaded rows=15268176 features=69 enums=6
+2026-05-04T14:45:01.132322Z  INFO property_map_server: Building spatial grid index (0.01° cells)
+2026-05-04T14:45:01.232930Z  INFO property_map_server: Precomputing H3 cells at resolution 12
+2026-05-04T14:45:01.232940Z  INFO property_map_server::data::property: Precomputing H3 cells at resolution 12
+2026-05-04T14:45:01.644976Z  INFO property_map_server::data::property: H3 precomputation complete (15268176 cells)
+2026-05-04T14:45:01.645007Z  INFO property_map_server: Loading POI data from /app/data/filtered_uk_pois.parquet
+2026-05-04T14:45:01.645013Z  INFO property_map_server::data::poi: Loading POI data from "/app/data/filtered_uk_pois.parquet"...
+2026-05-04T14:45:01.665085Z  INFO property_map_server::data::poi: Loaded 552015 POIs
+2026-05-04T14:45:01.759058Z  INFO property_map_server::data::poi: POI string columns interned category_unique=74 group_unique=11 emoji_unique=71
+2026-05-04T14:45:01.759640Z  INFO property_map_server::data::poi: POI data loading complete.
+2026-05-04T14:45:01.791356Z  INFO property_map_server: POI data loaded pois=552015
+2026-05-04T14:45:01.791365Z  INFO property_map_server: Building POI spatial grid index
+2026-05-04T14:45:01.797608Z  INFO property_map_server: Loading place data from /app/data/places.parquet
+2026-05-04T14:45:01.797618Z  INFO property_map_server::data::places: Loading place data from "/app/data/places.parquet"...
+2026-05-04T14:45:01.798218Z  INFO property_map_server::data::places: Loaded 3474 places
+2026-05-04T14:45:01.799012Z  INFO property_map_server::data::places: Place data loaded places=3474 types=2 with_population=71 with_city=3392
+2026-05-04T14:45:01.799070Z  INFO property_map_server: Place data loaded places=3474
+2026-05-04T14:45:01.799079Z  INFO property_map_server: Loading postcode boundaries from /app/data/postcode_boundaries
+2026-05-04T14:45:01.799082Z  INFO property_map_server::data::postcodes: Loading postcode boundaries from "/app/data/postcode_boundaries"
+2026-05-04T14:45:01.799987Z  INFO property_map_server::data::postcodes: Found GeoJSON files to process files=2361
+2026-05-04T14:45:08.134111Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T14:45:08.134279Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T14:45:08.134289Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T14:45:08.199503Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T14:45:08.199512Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T14:45:10.581458Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T14:45:10.581488Z  INFO property_map_server::data::property: Feature columns from config numeric=63 enums=6 total=69
+2026-05-04T14:45:11.641800Z  INFO property_map_server::data::property: Combined data selected rows=15268176
+2026-05-04T14:45:11.787205Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T14:45:12.165030Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T14:45:13.389884Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T14:45:14.748149Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T14:45:15.977535Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T14:45:18.827895Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1833881
+2026-05-04T14:45:18.827905Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T14:45:19.697239Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T14:45:31.153242Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T14:45:31.153406Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T14:45:31.153422Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T14:45:31.219201Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T14:45:31.219213Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T14:45:33.564270Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T14:45:33.564305Z  INFO property_map_server::data::property: Feature columns from config numeric=63 enums=6 total=69
+2026-05-04T14:45:36.281493Z  WARN property_map_server::data::property: Dropped properties with missing postcode coordinates rows=743076
+2026-05-04T14:45:36.281502Z  INFO property_map_server::data::property: Combined data selected rows=14525100
+2026-05-04T14:45:36.401348Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T14:45:36.758111Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T14:45:37.875216Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T14:45:39.160760Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T14:45:40.659139Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T14:45:42.636440Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1741939
+2026-05-04T14:45:42.636448Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T14:45:43.439562Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T14:45:48.482907Z  INFO property_map_server::data::property: Transposing to row-major layout (spatially sorted, quantized to u16)
+2026-05-04T14:45:51.180179Z  INFO property_map_server::data::property: Data loading complete
+2026-05-04T14:45:52.166085Z  INFO property_map_server: Property data loaded rows=14525100 features=69 enums=6
+2026-05-04T14:45:52.166096Z  INFO property_map_server: Building spatial grid index (0.01° cells)
+2026-05-04T14:45:52.250577Z  INFO property_map_server: Precomputing H3 cells at resolution 12
+2026-05-04T14:45:52.250585Z  INFO property_map_server::data::property: Precomputing H3 cells at resolution 12
+2026-05-04T14:45:52.614701Z  INFO property_map_server::data::property: H3 precomputation complete (14525100 cells)
+2026-05-04T14:45:52.614729Z  INFO property_map_server: Loading POI data from /app/data/filtered_uk_pois.parquet
+2026-05-04T14:45:52.614736Z  INFO property_map_server::data::poi: Loading POI data from "/app/data/filtered_uk_pois.parquet"...
+2026-05-04T14:45:52.642203Z  INFO property_map_server::data::poi: Loaded 552015 POIs
+2026-05-04T14:45:52.731917Z  INFO property_map_server::data::poi: POI string columns interned category_unique=74 group_unique=11 emoji_unique=71
+2026-05-04T14:45:52.732432Z  INFO property_map_server::data::poi: POI data loading complete.
+2026-05-04T14:45:52.762120Z  INFO property_map_server: POI data loaded pois=552015
+2026-05-04T14:45:52.762126Z  INFO property_map_server: Building POI spatial grid index
+2026-05-04T14:45:52.766844Z  INFO property_map_server: Loading place data from /app/data/places.parquet
+2026-05-04T14:45:52.766849Z  INFO property_map_server::data::places: Loading place data from "/app/data/places.parquet"...
+2026-05-04T14:45:52.767351Z  INFO property_map_server::data::places: Loaded 3474 places
+2026-05-04T14:45:52.768147Z  INFO property_map_server::data::places: Place data loaded places=3474 types=2 with_population=71 with_city=3392
+2026-05-04T14:45:52.768200Z  INFO property_map_server: Place data loaded places=3474
+2026-05-04T14:45:52.768209Z  INFO property_map_server: Loading postcode boundaries from /app/data/postcode_boundaries
+2026-05-04T14:45:52.768212Z  INFO property_map_server::data::postcodes: Loading postcode boundaries from "/app/data/postcode_boundaries"
+2026-05-04T14:45:52.769171Z  INFO property_map_server::data::postcodes: Found GeoJSON files to process files=2361
+2026-05-04T14:45:59.458176Z  INFO property_map_server::data::postcodes: Postcode boundary data ready postcodes=1490140
+2026-05-04T14:45:59.677820Z  INFO property_map_server: Postcode boundaries loaded postcodes=1490140
+2026-05-04T14:45:59.810914Z  INFO property_map_server::data::postcodes: Outcode data derived from postcodes outcodes=2361
+2026-05-04T14:45:59.810961Z  INFO property_map_server: Loading PMTiles from /app/data/uk.pmtiles
+2026-05-04T14:45:59.811163Z  INFO property_map_server: PMTiles loaded successfully
+2026-05-04T14:45:59.846852Z  INFO property_map_server: No --dist provided; static serving and OG injection disabled
+2026-05-04T14:45:59.871182Z  INFO property_map_server: Screenshot service configured: http://screenshot:8002
+2026-05-04T14:45:59.871230Z  INFO property_map_server: Precomputed features response groups=8
+2026-05-04T14:45:59.871243Z  INFO property_map_server: PocketBase configured: http://pocketbase:8090
+2026-05-04T14:45:59.917422Z  INFO property_map_server::pocketbase: PocketBase users collection already has all required fields
+2026-05-04T14:45:59.920134Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_searches' API rules updated
+2026-05-04T14:45:59.923261Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_properties' API rules updated
+2026-05-04T14:45:59.988619Z  INFO property_map_server::pocketbase: PocketBase meta.appURL set to https://perfect-postcodes.co.uk/pb
+2026-05-04T14:45:59.991782Z  INFO property_map_server::pocketbase: PocketBase OAuth configured on users collection
+2026-05-04T14:45:59.991803Z  INFO property_map_server: Gemini configured (model: gemini-3-flash-preview)
+2026-05-04T14:45:59.991818Z  INFO property_map_server: Loading travel time data from /app/data/travel-times
+2026-05-04T14:46:00.030486Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="bicycle" destinations=2753
+2026-05-04T14:46:00.044472Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="walking" destinations=2753
+2026-05-04T14:46:00.052703Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="car" destinations=2753
+2026-05-04T14:46:00.064337Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="transit" destinations=2752
+2026-05-04T14:46:00.064370Z  INFO property_map_server: Travel time store loaded modes=4
+2026-05-04T14:46:00.064429Z  INFO property_map_server: Precomputed AI filters system prompt
+2026-05-04T14:46:05.611406Z  INFO property_map_server: All memory pages locked (mlockall)
+2026-05-04T14:46:05.611446Z  INFO property_map_server: Server listening on 0.0.0.0:8001
+2026-05-04T14:47:15.819022Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T14:47:15.819187Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T14:47:15.819197Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T14:47:15.885121Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T14:47:15.885132Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T14:47:18.372381Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T14:47:18.372410Z  INFO property_map_server::data::property: Feature columns from config numeric=63 enums=6 total=69
+2026-05-04T14:47:20.923011Z  WARN property_map_server::data::property: Dropped properties with missing postcode coordinates rows=743076
+2026-05-04T14:47:20.923021Z  INFO property_map_server::data::property: Combined data selected rows=14525100
+2026-05-04T14:47:21.045527Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T14:47:21.392236Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T14:47:22.507594Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T14:47:23.774491Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T14:47:24.936843Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T14:47:26.949732Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1741939
+2026-05-04T14:47:26.949741Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T14:47:27.766362Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T14:47:32.738931Z  INFO property_map_server::data::property: Transposing to row-major layout (spatially sorted, quantized to u16)
+2026-05-04T14:47:35.373238Z  INFO property_map_server::data::property: Data loading complete
+2026-05-04T14:47:36.093547Z  INFO property_map_server: Property data loaded rows=14525100 features=69 enums=6
+2026-05-04T14:47:36.093556Z  INFO property_map_server: Building spatial grid index (0.01° cells)
+2026-05-04T14:47:36.446544Z  INFO property_map_server: Precomputing H3 cells at resolution 12
+2026-05-04T14:47:36.446553Z  INFO property_map_server::data::property: Precomputing H3 cells at resolution 12
+2026-05-04T14:47:36.806465Z  INFO property_map_server::data::property: H3 precomputation complete (14525100 cells)
+2026-05-04T14:47:36.806489Z  INFO property_map_server: Loading POI data from /app/data/filtered_uk_pois.parquet
+2026-05-04T14:47:36.806495Z  INFO property_map_server::data::poi: Loading POI data from "/app/data/filtered_uk_pois.parquet"...
+2026-05-04T14:47:36.825191Z  INFO property_map_server::data::poi: Loaded 552015 POIs
+2026-05-04T14:47:36.915120Z  INFO property_map_server::data::poi: POI string columns interned category_unique=74 group_unique=11 emoji_unique=71
+2026-05-04T14:47:36.915662Z  INFO property_map_server::data::poi: POI data loading complete.
+2026-05-04T14:47:36.945387Z  INFO property_map_server: POI data loaded pois=552015
+2026-05-04T14:47:36.945396Z  INFO property_map_server: Building POI spatial grid index
+2026-05-04T14:47:36.950771Z  INFO property_map_server: Loading place data from /app/data/places.parquet
+2026-05-04T14:47:36.950791Z  INFO property_map_server::data::places: Loading place data from "/app/data/places.parquet"...
+2026-05-04T14:47:36.951334Z  INFO property_map_server::data::places: Loaded 3474 places
+2026-05-04T14:47:36.952410Z  INFO property_map_server::data::places: Place data loaded places=3474 types=2 with_population=71 with_city=3392
+2026-05-04T14:47:36.952485Z  INFO property_map_server: Place data loaded places=3474
+2026-05-04T14:47:36.952496Z  INFO property_map_server: Loading postcode boundaries from /app/data/postcode_boundaries
+2026-05-04T14:47:36.952500Z  INFO property_map_server::data::postcodes: Loading postcode boundaries from "/app/data/postcode_boundaries"
+2026-05-04T14:47:36.953764Z  INFO property_map_server::data::postcodes: Found GeoJSON files to process files=2361
+2026-05-04T14:47:43.377454Z  INFO property_map_server::data::postcodes: Postcode boundary data ready postcodes=1490140
+2026-05-04T14:47:43.612097Z  INFO property_map_server: Postcode boundaries loaded postcodes=1490140
+2026-05-04T14:47:43.750736Z  INFO property_map_server::data::postcodes: Outcode data derived from postcodes outcodes=2361
+2026-05-04T14:47:43.750789Z  INFO property_map_server: Loading PMTiles from /app/data/uk.pmtiles
+2026-05-04T14:47:43.751019Z  INFO property_map_server: PMTiles loaded successfully
+2026-05-04T14:47:43.785502Z  INFO property_map_server: No --dist provided; static serving and OG injection disabled
+2026-05-04T14:47:43.810749Z  INFO property_map_server: Screenshot service configured: http://screenshot:8002
+2026-05-04T14:47:43.810898Z  INFO property_map_server: Precomputed features response groups=8
+2026-05-04T14:47:43.810912Z  INFO property_map_server: PocketBase configured: http://pocketbase:8090
+2026-05-04T14:47:43.857558Z  INFO property_map_server::pocketbase: PocketBase users collection already has all required fields
+2026-05-04T14:47:43.860590Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_searches' API rules updated
+2026-05-04T14:47:43.863548Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_properties' API rules updated
+2026-05-04T14:47:44.082999Z  INFO property_map_server::pocketbase: PocketBase meta.appURL set to https://perfect-postcodes.co.uk/pb
+2026-05-04T14:47:44.086665Z  INFO property_map_server::pocketbase: PocketBase OAuth configured on users collection
+2026-05-04T14:47:44.086686Z  INFO property_map_server: Gemini configured (model: gemini-3-flash-preview)
+2026-05-04T14:47:44.086700Z  INFO property_map_server: Loading travel time data from /app/data/travel-times
+2026-05-04T14:47:44.088081Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="bicycle" destinations=2753
+2026-05-04T14:47:44.089379Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="walking" destinations=2753
+2026-05-04T14:47:44.090629Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="car" destinations=2753
+2026-05-04T14:47:44.091709Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="transit" destinations=2752
+2026-05-04T14:47:44.091724Z  INFO property_map_server: Travel time store loaded modes=4
+2026-05-04T14:47:44.091761Z  INFO property_map_server: Precomputed AI filters system prompt
+2026-05-04T14:47:45.625293Z  INFO property_map_server: All memory pages locked (mlockall)
+2026-05-04T14:47:45.625334Z  INFO property_map_server: Server listening on 0.0.0.0:8001
+2026-05-04T14:50:57.638877Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T14:50:57.640497Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T14:50:57.922811Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=122687 parallel=true cells_before_filter=928 cells_after_filter=889 truncated=false bounds=51.3737,-0.0587,51.4622,0.0559 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=7.1 json_ms=0.6 total_ms=7.7
+2026-05-04T14:52:56.258632Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=122687 parallel=true cells_before_filter=928 cells_after_filter=889 truncated=false bounds=51.3737,-0.0587,51.4622,0.0559 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=4.1 json_ms=0.5 total_ms=4.6
+2026-05-04T14:53:12.185088Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=122687 parallel=true cells_before_filter=928 cells_after_filter=889 truncated=false bounds=51.3737,-0.0587,51.4622,0.0559 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.7 json_ms=0.5 total_ms=2.2
+2026-05-04T14:53:42.884119Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T14:53:42.884271Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T14:53:42.884283Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T14:53:42.946330Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T14:53:42.946339Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T14:53:45.357132Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T14:53:45.357161Z  INFO property_map_server::data::property: Feature columns from config numeric=63 enums=6 total=69
+2026-05-04T14:53:55.036134Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T14:53:55.036295Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T14:53:55.036304Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T14:53:55.101654Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T14:53:55.101664Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T14:53:57.600564Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T14:53:57.600601Z  INFO property_map_server::data::property: Feature columns from config numeric=63 enums=6 total=69
+2026-05-04T14:54:04.972538Z  WARN property_map_server::data::property: Dropped properties with missing postcode coordinates rows=743076
+2026-05-04T14:54:04.972547Z  INFO property_map_server::data::property: Combined data selected rows=14525100
+2026-05-04T14:54:05.102307Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T14:54:05.526039Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T14:54:06.851065Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T14:54:08.168947Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T14:54:09.788800Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T14:54:12.676020Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1741939
+2026-05-04T14:54:12.676028Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T14:54:14.887893Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T14:54:22.970834Z  INFO property_map_server::data::property: Transposing to row-major layout (spatially sorted, quantized to u16)
+2026-05-04T14:54:26.292049Z  INFO property_map_server::data::property: Data loading complete
+2026-05-04T14:54:27.354753Z  INFO property_map_server: Property data loaded rows=14525100 features=69 enums=6
+2026-05-04T14:54:27.354767Z  INFO property_map_server: Building spatial grid index (0.01° cells)
+2026-05-04T14:54:27.455615Z  INFO property_map_server: Precomputing H3 cells at resolution 12
+2026-05-04T14:54:27.455626Z  INFO property_map_server::data::property: Precomputing H3 cells at resolution 12
+2026-05-04T14:54:27.850640Z  INFO property_map_server::data::property: H3 precomputation complete (14525100 cells)
+2026-05-04T14:54:27.850666Z  INFO property_map_server: Loading POI data from /app/data/filtered_uk_pois.parquet
+2026-05-04T14:54:27.850674Z  INFO property_map_server::data::poi: Loading POI data from "/app/data/filtered_uk_pois.parquet"...
+2026-05-04T14:54:27.877285Z  INFO property_map_server::data::poi: Loaded 552015 POIs
+2026-05-04T14:54:27.970257Z  INFO property_map_server::data::poi: POI string columns interned category_unique=74 group_unique=11 emoji_unique=71
+2026-05-04T14:54:27.970733Z  INFO property_map_server::data::poi: POI data loading complete.
+2026-05-04T14:54:28.001753Z  INFO property_map_server: POI data loaded pois=552015
+2026-05-04T14:54:28.001763Z  INFO property_map_server: Building POI spatial grid index
+2026-05-04T14:54:28.007151Z  INFO property_map_server: Loading place data from /app/data/places.parquet
+2026-05-04T14:54:28.007169Z  INFO property_map_server::data::places: Loading place data from "/app/data/places.parquet"...
+2026-05-04T14:54:28.009833Z  INFO property_map_server::data::places: Loaded 3474 places
+2026-05-04T14:54:28.010633Z  INFO property_map_server::data::places: Place data loaded places=3474 types=2 with_population=71 with_city=3392
+2026-05-04T14:54:28.010706Z  INFO property_map_server: Place data loaded places=3474
+2026-05-04T14:54:28.010717Z  INFO property_map_server: Loading postcode boundaries from /app/data/postcode_boundaries
+2026-05-04T14:54:28.010722Z  INFO property_map_server::data::postcodes: Loading postcode boundaries from "/app/data/postcode_boundaries"
+2026-05-04T14:54:28.021635Z  INFO property_map_server::data::postcodes: Found GeoJSON files to process files=2361
+2026-05-04T14:54:35.600631Z  INFO property_map_server::data::postcodes: Postcode boundary data ready postcodes=1490140
+2026-05-04T14:54:35.828192Z  INFO property_map_server: Postcode boundaries loaded postcodes=1490140
+2026-05-04T14:54:35.965637Z  INFO property_map_server::data::postcodes: Outcode data derived from postcodes outcodes=2361
+2026-05-04T14:54:35.965695Z  INFO property_map_server: Loading PMTiles from /app/data/uk.pmtiles
+2026-05-04T14:54:35.981397Z  INFO property_map_server: PMTiles loaded successfully
+2026-05-04T14:54:36.016685Z  INFO property_map_server: No --dist provided; static serving and OG injection disabled
+2026-05-04T14:54:36.054406Z  INFO property_map_server: Screenshot service configured: http://screenshot:8002
+2026-05-04T14:54:36.054564Z  INFO property_map_server: Precomputed features response groups=8
+2026-05-04T14:54:36.054579Z  INFO property_map_server: PocketBase configured: http://pocketbase:8090
+2026-05-04T14:54:36.125619Z  INFO property_map_server::pocketbase: PocketBase users collection already has all required fields
+2026-05-04T14:54:36.130171Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_searches' API rules updated
+2026-05-04T14:54:36.134321Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_properties' API rules updated
+2026-05-04T14:54:36.513738Z  INFO property_map_server::pocketbase: PocketBase meta.appURL set to https://perfect-postcodes.co.uk/pb
+2026-05-04T14:54:36.517029Z  INFO property_map_server::pocketbase: PocketBase OAuth configured on users collection
+2026-05-04T14:54:36.517057Z  INFO property_map_server: Gemini configured (model: gemini-3-flash-preview)
+2026-05-04T14:54:36.517075Z  INFO property_map_server: Loading travel time data from /app/data/travel-times
+2026-05-04T14:54:36.520211Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="bicycle" destinations=2753
+2026-05-04T14:54:36.523065Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="walking" destinations=2753
+2026-05-04T14:54:36.525013Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="car" destinations=2753
+2026-05-04T14:54:36.527299Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="transit" destinations=2752
+2026-05-04T14:54:36.527317Z  INFO property_map_server: Travel time store loaded modes=4
+2026-05-04T14:54:36.527363Z  INFO property_map_server: Precomputed AI filters system prompt
+2026-05-04T14:54:42.237462Z  INFO property_map_server: All memory pages locked (mlockall)
+2026-05-04T14:54:42.237501Z  INFO property_map_server: Server listening on 0.0.0.0:8001
+2026-05-04T14:55:02.185484Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T14:55:02.186180Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T14:55:11.287843Z  INFO property_map_server: Prometheus metrics initialized
+2026-05-04T14:55:11.287997Z  INFO property_map_server: Loading property data from /app/data/properties.parquet, /app/data/postcode.parquet
+2026-05-04T14:55:11.288007Z  INFO property_map_server::data::property: Loading postcode features from "/app/data/postcode.parquet"
+2026-05-04T14:55:11.376260Z  INFO property_map_server::data::property: Postcode features loaded rows=1263786
+2026-05-04T14:55:11.376273Z  INFO property_map_server::data::property: Loading properties from "/app/data/properties.parquet"
+2026-05-04T14:55:13.827818Z  INFO property_map_server::data::property: Properties joined with postcodes rows=15268176
+2026-05-04T14:55:13.827854Z  INFO property_map_server::data::property: Feature columns from config numeric=63 enums=6 total=69
+2026-05-04T14:55:16.429385Z  WARN property_map_server::data::property: Dropped properties with missing postcode coordinates rows=743076
+2026-05-04T14:55:16.429395Z  INFO property_map_server::data::property: Combined data selected rows=14525100
+2026-05-04T14:55:16.568441Z  INFO property_map_server::data::property: Extracting numeric feature columns
+2026-05-04T14:55:16.975936Z  INFO property_map_server::data::property: Computing histograms for numeric features
+2026-05-04T14:55:18.251169Z  INFO property_map_server::data::property: Extracting string columns
+2026-05-04T14:55:19.527096Z  INFO property_map_server::data::property: Building enum features
+2026-05-04T14:55:20.712350Z  INFO property_map_server::data::property: Extracting renovation history
+2026-05-04T14:55:22.823604Z  INFO property_map_server::data::property: Renovation history extracted properties_with_events=1741939
+2026-05-04T14:55:22.823615Z  INFO property_map_server::data::property: Sorting rows by spatial locality
+2026-05-04T14:55:23.891440Z  INFO property_map_server::data::property: Building interned strings
+2026-05-04T14:55:31.505572Z  INFO property_map_server::data::property: Transposing to row-major layout (spatially sorted, quantized to u16)
+2026-05-04T14:55:34.169480Z  INFO property_map_server::data::property: Data loading complete
+2026-05-04T14:55:34.942506Z  INFO property_map_server: Property data loaded rows=14525100 features=69 enums=6
+2026-05-04T14:55:34.942516Z  INFO property_map_server: Building spatial grid index (0.01° cells)
+2026-05-04T14:55:35.294923Z  INFO property_map_server: Precomputing H3 cells at resolution 12
+2026-05-04T14:55:35.294933Z  INFO property_map_server::data::property: Precomputing H3 cells at resolution 12
+2026-05-04T14:55:35.726054Z  INFO property_map_server::data::property: H3 precomputation complete (14525100 cells)
+2026-05-04T14:55:35.726080Z  INFO property_map_server: Loading POI data from /app/data/filtered_uk_pois.parquet
+2026-05-04T14:55:35.726087Z  INFO property_map_server::data::poi: Loading POI data from "/app/data/filtered_uk_pois.parquet"...
+2026-05-04T14:55:35.744824Z  INFO property_map_server::data::poi: Loaded 552015 POIs
+2026-05-04T14:55:35.838137Z  INFO property_map_server::data::poi: POI string columns interned category_unique=74 group_unique=11 emoji_unique=71
+2026-05-04T14:55:35.838638Z  INFO property_map_server::data::poi: POI data loading complete.
+2026-05-04T14:55:35.876768Z  INFO property_map_server: POI data loaded pois=552015
+2026-05-04T14:55:35.876778Z  INFO property_map_server: Building POI spatial grid index
+2026-05-04T14:55:35.881786Z  INFO property_map_server: Loading place data from /app/data/places.parquet
+2026-05-04T14:55:35.881803Z  INFO property_map_server::data::places: Loading place data from "/app/data/places.parquet"...
+2026-05-04T14:55:35.882353Z  INFO property_map_server::data::places: Loaded 3474 places
+2026-05-04T14:55:35.883258Z  INFO property_map_server::data::places: Place data loaded places=3474 types=2 with_population=71 with_city=3392
+2026-05-04T14:55:35.883316Z  INFO property_map_server: Place data loaded places=3474
+2026-05-04T14:55:35.883325Z  INFO property_map_server: Loading postcode boundaries from /app/data/postcode_boundaries
+2026-05-04T14:55:35.883328Z  INFO property_map_server::data::postcodes: Loading postcode boundaries from "/app/data/postcode_boundaries"
+2026-05-04T14:55:35.886822Z  INFO property_map_server::data::postcodes: Found GeoJSON files to process files=2361
+2026-05-04T14:55:42.631313Z  INFO property_map_server::data::postcodes: Postcode boundary data ready postcodes=1490140
+2026-05-04T14:55:42.861921Z  INFO property_map_server: Postcode boundaries loaded postcodes=1490140
+2026-05-04T14:55:43.004963Z  INFO property_map_server::data::postcodes: Outcode data derived from postcodes outcodes=2361
+2026-05-04T14:55:43.005018Z  INFO property_map_server: Loading PMTiles from /app/data/uk.pmtiles
+2026-05-04T14:55:43.005240Z  INFO property_map_server: PMTiles loaded successfully
+2026-05-04T14:55:43.040940Z  INFO property_map_server: No --dist provided; static serving and OG injection disabled
+2026-05-04T14:55:43.066453Z  INFO property_map_server: Screenshot service configured: http://screenshot:8002
+2026-05-04T14:55:43.066611Z  INFO property_map_server: Precomputed features response groups=8
+2026-05-04T14:55:43.066626Z  INFO property_map_server: PocketBase configured: http://pocketbase:8090
+2026-05-04T14:55:43.121000Z  INFO property_map_server::pocketbase: PocketBase users collection already has all required fields
+2026-05-04T14:55:43.126266Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_searches' API rules updated
+2026-05-04T14:55:43.131790Z  INFO property_map_server::pocketbase: PocketBase collection 'saved_properties' API rules updated
+2026-05-04T14:55:43.476085Z  INFO property_map_server::pocketbase: PocketBase meta.appURL set to https://perfect-postcodes.co.uk/pb
+2026-05-04T14:55:43.480666Z  INFO property_map_server::pocketbase: PocketBase OAuth configured on users collection
+2026-05-04T14:55:43.480705Z  INFO property_map_server: Gemini configured (model: gemini-3-flash-preview)
+2026-05-04T14:55:43.480720Z  INFO property_map_server: Loading travel time data from /app/data/travel-times
+2026-05-04T14:55:43.486304Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="bicycle" destinations=2753
+2026-05-04T14:55:43.489899Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="walking" destinations=2753
+2026-05-04T14:55:43.494485Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="car" destinations=2753
+2026-05-04T14:55:43.499714Z  INFO property_map_server::data::travel_time: Travel time mode discovered mode="transit" destinations=2752
+2026-05-04T14:55:43.499735Z  INFO property_map_server: Travel time store loaded modes=4
+2026-05-04T14:55:43.499785Z  INFO property_map_server: Precomputed AI filters system prompt
+2026-05-04T14:55:45.137547Z  INFO property_map_server: All memory pages locked (mlockall)
+2026-05-04T14:55:45.137591Z  INFO property_map_server: Server listening on 0.0.0.0:8001
+2026-05-04T14:55:54.824291Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T14:55:54.825669Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T14:55:55.012652Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=83099 parallel=true cells_before_filter=312 cells_after_filter=300 truncated=false bounds=51.4958,-0.1756,51.5342,-0.0844 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=6.6 json_ms=0.2 total_ms=6.8
+2026-05-04T15:12:24.599195Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=122687 parallel=true cells_before_filter=928 cells_after_filter=889 truncated=false bounds=51.3737,-0.0587,51.4622,0.0559 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=5.4 json_ms=0.5 total_ms=5.9
+2026-05-04T15:13:03.754369Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=122687 parallel=true cells_before_filter=928 cells_after_filter=889 truncated=false bounds=51.3737,-0.0587,51.4622,0.0559 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=2.2 json_ms=0.5 total_ms=2.8
+2026-05-04T15:13:24.272603Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T15:13:24.278421Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T15:13:24.413467Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T15:13:24.414872Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T15:13:24.742082Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=122687 parallel=true cells_before_filter=928 cells_after_filter=889 truncated=false bounds=51.3737,-0.0587,51.4622,0.0559 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.8 json_ms=0.5 total_ms=2.2
+2026-05-04T15:14:00.462118Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T15:14:00.462123Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T15:14:00.595786Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T15:14:00.597610Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T15:14:00.899405Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=122687 parallel=true cells_before_filter=928 cells_after_filter=889 truncated=false bounds=51.3737,-0.0587,51.4622,0.0559 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.5 json_ms=0.5 total_ms=2.0
+2026-05-04T15:15:33.019623Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T15:15:33.025700Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T15:15:33.134642Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T15:15:33.136271Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T15:15:33.480486Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=122687 parallel=true cells_before_filter=928 cells_after_filter=889 truncated=false bounds=51.3737,-0.0587,51.4622,0.0559 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.6 json_ms=0.5 total_ms=2.0
+2026-05-04T15:16:08.081958Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T15:16:08.087511Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T15:16:08.294230Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T15:16:08.295412Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T15:16:08.604460Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=122687 parallel=true cells_before_filter=928 cells_after_filter=889 truncated=false bounds=51.3737,-0.0587,51.4622,0.0559 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.5 json_ms=0.5 total_ms=1.9
+2026-05-04T15:17:07.960849Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T15:17:07.968658Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T15:17:08.143457Z  INFO property_map_server::routes::features: GET /api/features
+2026-05-04T15:17:08.144527Z  INFO property_map_server::routes::pois: GET /api/poi-categories count=74 groups=11
+2026-05-04T15:17:08.451792Z  INFO property_map_server::routes::hexagons: GET /api/hexagons resolution=9 rows=122687 parallel=true cells_before_filter=928 cells_after_filter=889 truncated=false bounds=51.3737,-0.0587,51.4622,0.0559 filters=0 filters_raw="-" fields=0 travel_entries=0 grid_ms=0.0 agg_ms=1.6 json_ms=0.5 total_ms=2.1
diff --git a/server-rs/src/data/property.rs b/server-rs/src/data/property.rs
index 2e4533e..d275853 100644
--- a/server-rs/src/data/property.rs
+++ b/server-rs/src/data/property.rs
@@ -514,10 +514,7 @@ pub fn precompute_h3(lat: &[f32], lon: &[f32]) -> anyhow::Result<Vec<u64>> {
 }
 
 impl PropertyData {
-    pub fn load(
-        properties_path: &Path,
-        postcode_features_path: &Path,
-    ) -> anyhow::Result<Self> {
+    pub fn load(properties_path: &Path, postcode_features_path: &Path) -> anyhow::Result<Self> {
         // Load postcode.parquet
         tracing::info!(
             "Loading postcode features from {:?}",
@@ -643,11 +640,22 @@ impl PropertyData {
         }
         let df = combined
             .lazy()
+            .filter(col("lat").is_not_null().and(col("lon").is_not_null()))
             .select(select_exprs)
             .collect()
             .context("Failed to select columns from combined data")?;
 
         let row_count = df.height();
+        if row_count == 0 {
+            bail!("No property rows have usable coordinates after joining postcode data");
+        }
+        let dropped_coordinate_rows = total_rows.saturating_sub(row_count);
+        if dropped_coordinate_rows > 0 {
+            tracing::warn!(
+                rows = dropped_coordinate_rows,
+                "Dropped properties with missing postcode coordinates"
+            );
+        }
         tracing::info!(rows = row_count, "Combined data selected");
 
         let lat_series = df
@@ -659,8 +667,8 @@ impl PropertyData {
             .f32()
             .context("Failed to read 'lat' as f32")?
             .into_iter()
-            .map(|value| value.unwrap_or(0.0))
-            .collect();
+            .map(|value| value.context("Missing 'lat' value after coordinate filter"))
+            .collect::<anyhow::Result<Vec<_>>>()?;
 
         let lon_series = df
             .column("lon")
@@ -671,8 +679,14 @@ impl PropertyData {
             .f32()
             .context("Failed to read 'lon' as f32")?
             .into_iter()
-            .map(|value| value.unwrap_or(0.0))
-            .collect();
+            .map(|value| value.context("Missing 'lon' value after coordinate filter"))
+            .collect::<anyhow::Result<Vec<_>>>()?;
+
+        for (row, (&latitude, &longitude)) in lat.iter().zip(&lon).enumerate() {
+            if !(-90.0..=90.0).contains(&latitude) || !(-180.0..=180.0).contains(&longitude) {
+                bail!("Invalid coordinates at row {row}: lat={latitude}, lon={longitude}");
+            }
+        }
 
         tracing::info!("Extracting numeric feature columns");
         let numeric_col_major: Vec<Vec<f32>> = numeric_names
diff --git a/server-rs/src/features.rs b/server-rs/src/features.rs
index 69a3de2..a3b620b 100644
--- a/server-rs/src/features.rs
+++ b/server-rs/src/features.rs
@@ -32,8 +32,7 @@ pub struct FeatureConfig {
 
 /// Features whose histogram bins should be exactly 1 unit wide (one per integer).
 /// p1/p99 are snapped to integer boundaries before binning.
-pub const INTEGER_BIN_FEATURES: &[&str] =
-    &["Number of bedrooms & living rooms"];
+pub const INTEGER_BIN_FEATURES: &[&str] = &["Number of bedrooms & living rooms"];
 
 pub struct EnumFeatureConfig {
     pub name: &'static str,
@@ -302,6 +301,36 @@ pub static FEATURE_GROUPS: &[FeatureGroup] = &[
                 raw: false,
                 absolute: false,
             }),
+            Feature::Numeric(FeatureConfig {
+                name: "Outstanding primary schools within 2km",
+                bounds: Bounds::Fixed {
+                    min: 0.0,
+                    max: 10.0,
+                },
+                step: 1.0,
+                description: "Primary schools rated Outstanding by Ofsted within 2km",
+                detail: "State-funded primary schools within 2km with a current Ofsted rating of Outstanding. Schools not yet inspected are excluded.",
+                source: "ofsted",
+                prefix: "",
+                suffix: "",
+                raw: false,
+                absolute: false,
+            }),
+            Feature::Numeric(FeatureConfig {
+                name: "Outstanding secondary schools within 2km",
+                bounds: Bounds::Fixed {
+                    min: 0.0,
+                    max: 5.0,
+                },
+                step: 1.0,
+                description: "Secondary schools rated Outstanding by Ofsted within 2km",
+                detail: "State-funded secondary schools within 2km with a current Ofsted rating of Outstanding. Schools not yet inspected are excluded.",
+                source: "ofsted",
+                prefix: "",
+                suffix: "",
+                raw: false,
+                absolute: false,
+            }),
             Feature::Numeric(FeatureConfig {
                 name: "Good+ primary schools within 5km",
                 bounds: Bounds::Fixed {
@@ -332,6 +361,36 @@ pub static FEATURE_GROUPS: &[FeatureGroup] = &[
                 raw: false,
                 absolute: false,
             }),
+            Feature::Numeric(FeatureConfig {
+                name: "Outstanding primary schools within 5km",
+                bounds: Bounds::Fixed {
+                    min: 0.0,
+                    max: 30.0,
+                },
+                step: 1.0,
+                description: "Primary schools rated Outstanding by Ofsted within 5km",
+                detail: "State-funded primary schools within 5km with a current Ofsted rating of Outstanding. Schools not yet inspected are excluded.",
+                source: "ofsted",
+                prefix: "",
+                suffix: "",
+                raw: false,
+                absolute: false,
+            }),
+            Feature::Numeric(FeatureConfig {
+                name: "Outstanding secondary schools within 5km",
+                bounds: Bounds::Fixed {
+                    min: 0.0,
+                    max: 15.0,
+                },
+                step: 1.0,
+                description: "Secondary schools rated Outstanding by Ofsted within 5km",
+                detail: "State-funded secondary schools within 5km with a current Ofsted rating of Outstanding. Schools not yet inspected are excluded.",
+                source: "ofsted",
+                prefix: "",
+                suffix: "",
+                raw: false,
+                absolute: false,
+            }),
             Feature::Numeric(FeatureConfig {
                 name: "Education, Skills and Training Score",
                 bounds: Bounds::Percentile {
diff --git a/server-rs/src/main.rs b/server-rs/src/main.rs
index d80e978..d3743bc 100644
--- a/server-rs/src/main.rs
+++ b/server-rs/src/main.rs
@@ -165,10 +165,7 @@ async fn main() -> anyhow::Result<()> {
         cli.properties.display(),
         cli.postcode_features.display(),
     );
-    let property_data = data::PropertyData::load(
-        &cli.properties,
-        &cli.postcode_features,
-    )?;
+    let property_data = data::PropertyData::load(&cli.properties, &cli.postcode_features)?;
     info!(
         rows = property_data.lat.len(),
         features = property_data.num_features,
@@ -450,7 +447,10 @@ async fn main() -> anyhow::Result<()> {
             "/api/postcode-properties",
             get(routes::get_postcode_properties),
         )
-        .route("/api/screenshot", get(routes::get_screenshot))
+        .route(
+            "/api/screenshot",
+            get(routes::get_screenshot).layer(ConcurrencyLimitLayer::new(3)),
+        )
         .route(
             "/api/export",
             get(routes::get_export).layer(ConcurrencyLimitLayer::new(3)),
diff --git a/server-rs/src/routes/ai_filters.rs b/server-rs/src/routes/ai_filters.rs
index dec2d22..7dfed82 100644
--- a/server-rs/src/routes/ai_filters.rs
+++ b/server-rs/src/routes/ai_filters.rs
@@ -281,6 +281,7 @@ pub fn build_system_prompt(
          - \"cheap\" / \"affordable\" = lower price range. \"expensive\" = higher price range.\n\
          - \"low crime\" / \"safe\" = low values on Serious crime and Minor crime summary features. \
            \"quiet\" = low Noise (dB). \"green\" / \"near parks\" = high Number of parks within 1km.\n\
+         - \"good schools\" = Good+ school features. \"outstanding schools\" = Outstanding school features.\n\
          - When the user says a number like \"under 400k\", interpret it as 400000.\n\
          - When the user says \"3 bed\" or \"3 bedroom\", use Number of bedrooms & living rooms \
            (note: this counts bedrooms + living rooms combined, so 3 bed ~ min 4).\n\
@@ -424,6 +425,16 @@ pub fn build_system_prompt(
             .to_string(),
     );
 
+    parts.push(
+        "\nUser: \"quiet area with outstanding schools\"\n\
+         Output: {\"numeric_filters\": [\
+         {\"name\": \"Noise (dB)\", \"bound\": \"max\", \"value\": 55}, \
+         {\"name\": \"Outstanding primary schools within 2km\", \"bound\": \"min\", \"value\": 1}, \
+         {\"name\": \"Outstanding secondary schools within 2km\", \"bound\": \"min\", \"value\": 1}], \
+         \"enum_filters\": [], \"travel_time_filters\": [], \"notes\": \"\"}"
+            .to_string(),
+    );
+
     parts.push(
         "\nUser: \"3 bed flat under 300k with fast broadband near the beach\"\n\
          Output: {\"numeric_filters\": [\
diff --git a/server-rs/src/routes/export.rs b/server-rs/src/routes/export.rs
index bbd735a..d217e0c 100644
--- a/server-rs/src/routes/export.rs
+++ b/server-rs/src/routes/export.rs
@@ -14,6 +14,7 @@ use tracing::{info, warn};
 use crate::auth::OptionalUser;
 use crate::consts::NAN_U16;
 use crate::data::QuantRef;
+use crate::features::INTEGER_BIN_FEATURES;
 use crate::licensing::check_license_bounds;
 use crate::parsing::{parse_field_indices, parse_filters, require_bounds, row_passes_filters};
 use crate::routes::{fetch_screenshot_bytes, FeatureInfo};
@@ -315,6 +316,11 @@ pub async fn get_export(
             })
             .collect();
 
+        let integer_feature_indices: FxHashSet<usize> = INTEGER_BIN_FEATURES
+            .iter()
+            .filter_map(|name| state.feature_name_to_index.get(*name).copied())
+            .collect();
+
         // Build Excel number formats per feature index for unit display
         let mut feat_num_fmts: FxHashMap<usize, Format> = FxHashMap::default();
         for &feat_idx in &all_feature_indices {
@@ -324,6 +330,8 @@ pub async fn get_export(
                 }
                 let num_fmt_str = if !prefix.is_empty() {
                     format!("\"{}\"#,##0", prefix)
+                } else if integer_feature_indices.contains(&feat_idx) {
+                    format!("#,##0\"{}\"", suffix)
                 } else {
                     format!("#,##0.0\"{}\"", suffix)
                 };
@@ -488,7 +496,11 @@ pub async fn get_export(
                     } else {
                         let fc = agg.finite_counts[feat_idx];
                         if fc > 0 {
-                            let mean = (agg.sums[feat_idx] / fc as f64 * 100.0).round() / 100.0;
+                            let mean = if integer_feature_indices.contains(&feat_idx) {
+                                (agg.sums[feat_idx] / fc as f64).round()
+                            } else {
+                                (agg.sums[feat_idx] / fc as f64 * 100.0).round() / 100.0
+                            };
                             if let Some(fmt) = feat_num_fmts.get(&feat_idx) {
                                 sheet
                                     .write_number_with_format(row, col, mean, fmt)
diff --git a/server-rs/src/routes/invites.rs b/server-rs/src/routes/invites.rs
index f71056f..fa7c633 100644
--- a/server-rs/src/routes/invites.rs
+++ b/server-rs/src/routes/invites.rs
@@ -1,4 +1,5 @@
-use std::sync::Arc;
+use std::collections::HashSet;
+use std::sync::{Arc, LazyLock, Mutex};
 
 use axum::extract::{Path, State};
 use axum::http::StatusCode;
@@ -7,9 +8,39 @@ use axum::{Extension, Json};
 use serde::{Deserialize, Serialize};
 use tracing::{info, warn};
 
-use crate::auth::OptionalUser;
+use crate::auth::{OptionalUser, PocketBaseUser};
 use crate::pocketbase::get_superuser_token;
-use crate::state::SharedState;
+use crate::state::{AppState, SharedState};
+
+static INVITE_REDEMPTIONS_IN_PROGRESS: LazyLock<Mutex<HashSet<String>>> =
+    LazyLock::new(|| Mutex::new(HashSet::new()));
+
+struct InviteRedemptionGuard {
+    code: String,
+}
+
+impl InviteRedemptionGuard {
+    fn acquire(code: &str) -> Option<Self> {
+        let mut in_progress = INVITE_REDEMPTIONS_IN_PROGRESS
+            .lock()
+            .unwrap_or_else(|poisoned| poisoned.into_inner());
+        if !in_progress.insert(code.to_string()) {
+            return None;
+        }
+        Some(Self {
+            code: code.to_string(),
+        })
+    }
+}
+
+impl Drop for InviteRedemptionGuard {
+    fn drop(&mut self) {
+        let mut in_progress = INVITE_REDEMPTIONS_IN_PROGRESS
+            .lock()
+            .unwrap_or_else(|poisoned| poisoned.into_inner());
+        in_progress.remove(&self.code);
+    }
+}
 
 #[derive(Serialize)]
 struct InviteResponse {
@@ -87,6 +118,207 @@ fn generate_invite_code() -> String {
     chars.into_iter().collect()
 }
 
+fn current_unix_secs_string() -> String {
+    std::time::SystemTime::now()
+        .duration_since(std::time::UNIX_EPOCH)
+        .unwrap_or_default()
+        .as_secs()
+        .to_string()
+}
+
+async fn lookup_unused_invite(
+    state: &AppState,
+    pb_url: &str,
+    token: &str,
+    code: &str,
+) -> Result<Option<serde_json::Value>, Response> {
+    let filter = format!("code=\"{}\" && used_by_id=\"\"", code);
+    let lookup_url = format!(
+        "{pb_url}/api/collections/invites/records?filter={}&perPage=1",
+        urlencoding::encode(&filter)
+    );
+
+    let res = match state
+        .http_client
+        .get(&lookup_url)
+        .header("Authorization", format!("Bearer {token}"))
+        .send()
+        .await
+    {
+        Ok(resp) => resp,
+        Err(err) => {
+            warn!("Failed to look up invite: {err}");
+            return Err(StatusCode::BAD_GATEWAY.into_response());
+        }
+    };
+
+    if !res.status().is_success() {
+        let status = res.status();
+        let text = res.text().await.unwrap_or_default();
+        warn!("PocketBase invite lookup failed ({status}): {text}");
+        return Err(StatusCode::BAD_GATEWAY.into_response());
+    }
+
+    let body: serde_json::Value = match res.json().await {
+        Ok(value) => value,
+        Err(err) => {
+            warn!("Failed to parse invite lookup response: {err}");
+            return Err(StatusCode::BAD_GATEWAY.into_response());
+        }
+    };
+
+    Ok(body["items"]
+        .as_array()
+        .and_then(|arr| arr.first())
+        .cloned())
+}
+
+async fn mark_invite_used(
+    state: &AppState,
+    pb_url: &str,
+    token: &str,
+    invite_id: &str,
+    user_id: &str,
+) -> Result<(), Response> {
+    let resp = match state
+        .http_client
+        .patch(format!(
+            "{pb_url}/api/collections/invites/records/{invite_id}"
+        ))
+        .header("Authorization", format!("Bearer {token}"))
+        .json(&serde_json::json!({
+            "used_by_id": user_id,
+            "used_at": current_unix_secs_string(),
+        }))
+        .send()
+        .await
+    {
+        Ok(resp) => resp,
+        Err(err) => {
+            warn!("Failed to mark invite as used: {err}");
+            return Err(StatusCode::BAD_GATEWAY.into_response());
+        }
+    };
+
+    if !resp.status().is_success() {
+        let status = resp.status();
+        let text = resp.text().await.unwrap_or_default();
+        warn!("PocketBase invite usage update failed ({status}): {text}");
+        return Err(StatusCode::BAD_GATEWAY.into_response());
+    }
+
+    Ok(())
+}
+
+async fn grant_license_for_invite(
+    state: &AppState,
+    pb_url: &str,
+    token: &str,
+    user_id: &str,
+) -> Result<(), Response> {
+    let update_url = format!("{pb_url}/api/collections/users/records/{user_id}");
+    let resp = match state
+        .http_client
+        .patch(&update_url)
+        .header("Authorization", format!("Bearer {token}"))
+        .json(&serde_json::json!({ "subscription": "licensed" }))
+        .send()
+        .await
+    {
+        Ok(resp) => resp,
+        Err(err) => {
+            warn!("Failed to update user subscription for admin invite: {err}");
+            return Err(StatusCode::BAD_GATEWAY.into_response());
+        }
+    };
+
+    if !resp.status().is_success() {
+        let status = resp.status();
+        let text = resp.text().await.unwrap_or_default();
+        warn!("PocketBase user subscription update failed ({status}): {text}");
+        return Err(StatusCode::BAD_GATEWAY.into_response());
+    }
+
+    state.token_cache.invalidate_by_user_id(user_id);
+    Ok(())
+}
+
+async fn create_referral_checkout(
+    state: &AppState,
+    user: &PocketBaseUser,
+) -> Result<String, Response> {
+    let count = match super::pricing::count_licensed_users(state).await {
+        Ok(count) => count,
+        Err(err) => {
+            warn!("Failed to count licensed users for invite checkout: {err}");
+            return Err(StatusCode::SERVICE_UNAVAILABLE.into_response());
+        }
+    };
+    let price_pence = super::pricing::price_for_count(count);
+
+    let public_url = &state.public_url;
+    let success_url = format!("{public_url}/pricing?license_success=1");
+    let cancel_url = format!("{public_url}/pricing");
+
+    let form_params = vec![
+        ("mode", "payment".to_string()),
+        (
+            "line_items[0][price_data][unit_amount]",
+            price_pence.to_string(),
+        ),
+        ("line_items[0][price_data][currency]", "gbp".to_string()),
+        (
+            "line_items[0][price_data][product_data][name]",
+            "Perfect Postcodes Lifetime License".to_string(),
+        ),
+        ("line_items[0][quantity]", "1".to_string()),
+        ("success_url", success_url),
+        ("cancel_url", cancel_url),
+        ("client_reference_id", user.id.clone()),
+        ("customer_email", user.email.clone()),
+        (
+            "discounts[0][coupon]",
+            state.stripe_referral_coupon_id.clone(),
+        ),
+    ];
+
+    let stripe_res = state
+        .http_client
+        .post("https://api.stripe.com/v1/checkout/sessions")
+        .basic_auth(&state.stripe_secret_key, None::<&str>)
+        .form(&form_params)
+        .send()
+        .await;
+
+    match stripe_res {
+        Ok(resp) if resp.status().is_success() => {
+            let stripe_body: serde_json::Value = match resp.json().await {
+                Ok(value) => value,
+                Err(err) => {
+                    warn!("Failed to parse Stripe checkout response: {err}");
+                    return Err(StatusCode::BAD_GATEWAY.into_response());
+                }
+            };
+            let checkout_url = stripe_body["url"].as_str().unwrap_or_default().to_string();
+            if checkout_url.is_empty() {
+                warn!("Stripe checkout response did not include a URL");
+                return Err(StatusCode::BAD_GATEWAY.into_response());
+            }
+            Ok(checkout_url)
+        }
+        Ok(resp) => {
+            let status = resp.status();
+            let text = resp.text().await.unwrap_or_default();
+            warn!("Failed to create Stripe checkout for referral invite ({status}): {text}");
+            Err(StatusCode::BAD_GATEWAY.into_response())
+        }
+        Err(err) => {
+            warn!("Stripe request error for referral invite: {err}");
+            Err(StatusCode::BAD_GATEWAY.into_response())
+        }
+    }
+}
+
 /// Create an invite. Admins create "admin" invites (free license) by default,
 /// but can explicitly request "referral" type. Licensed non-admin users always create "referral" invites (30% off).
 pub async fn post_invites(
@@ -319,154 +551,80 @@ pub async fn post_redeem_invite(
         }
     };
 
-    // Look up invite
-    let filter = format!("code=\"{}\" && used_by_id=\"\"", req.code);
-    let lookup_url = format!(
-        "{pb_url}/api/collections/invites/records?filter={}&perPage=1",
-        urlencoding::encode(&filter)
-    );
+    let _redemption_guard = match InviteRedemptionGuard::acquire(&req.code) {
+        Some(guard) => guard,
+        None => {
+            return (
+                StatusCode::CONFLICT,
+                "Invite redemption is already in progress",
+            )
+                .into_response()
+        }
+    };
 
-    let res = match state
-        .http_client
-        .get(&lookup_url)
-        .header("Authorization", format!("Bearer {token}"))
-        .send()
-        .await
-    {
-        Ok(r) => r,
-        Err(err) => {
-            warn!("Failed to look up invite: {err}");
+    let invite = match lookup_unused_invite(&state, pb_url, &token, &req.code).await {
+        Ok(Some(invite)) => invite,
+        Ok(None) => {
+            return (StatusCode::NOT_FOUND, "Invalid or already used invite code").into_response()
+        }
+        Err(response) => return response,
+    };
+
+    let invite_id = match invite["id"].as_str().filter(|id| !id.is_empty()) {
+        Some(id) => id,
+        None => {
+            warn!(code = %req.code, "Invite lookup returned record without id");
+            return StatusCode::BAD_GATEWAY.into_response();
+        }
+    };
+    let invite_type = match invite["invite_type"].as_str() {
+        Some("admin") => "admin",
+        Some("referral") => "referral",
+        Some(other) => {
+            warn!(code = %req.code, invite_type = other, "Invite has unsupported type");
+            return StatusCode::BAD_GATEWAY.into_response();
+        }
+        None => {
+            warn!(code = %req.code, "Invite lookup returned record without invite_type");
             return StatusCode::BAD_GATEWAY.into_response();
         }
     };
 
-    let body: serde_json::Value = match res.json().await {
-        Ok(v) => v,
-        Err(_) => return StatusCode::BAD_GATEWAY.into_response(),
-    };
-
-    let invite = match body["items"].as_array().and_then(|arr| arr.first()) {
-        Some(inv) => inv.clone(),
-        None => {
-            return (StatusCode::NOT_FOUND, "Invalid or already used invite code").into_response()
-        }
-    };
-
-    let invite_id = invite["id"].as_str().unwrap_or("");
-    let invite_type = invite["invite_type"].as_str().unwrap_or("");
-
-    // Mark invite as used
-    let now = {
-        let dur = std::time::SystemTime::now()
-            .duration_since(std::time::UNIX_EPOCH)
-            .unwrap_or_default();
-        dur.as_secs().to_string()
-    };
-    let _ = state
-        .http_client
-        .patch(format!(
-            "{pb_url}/api/collections/invites/records/{invite_id}"
-        ))
-        .header("Authorization", format!("Bearer {token}"))
-        .json(&serde_json::json!({
-            "used_by_id": user.id,
-            "used_at": now,
-        }))
-        .send()
-        .await;
-
     if invite_type == "admin" {
-        // Grant license directly
-        let update_url = format!("{pb_url}/api/collections/users/records/{}", user.id);
-        let res = state
-            .http_client
-            .patch(&update_url)
-            .header("Authorization", format!("Bearer {token}"))
-            .json(&serde_json::json!({ "subscription": "licensed" }))
-            .send()
-            .await;
-
-        match res {
-            Ok(resp) if resp.status().is_success() => {
-                state.token_cache.invalidate_by_user_id(&user.id);
-                info!(user_id = %user.id, code = %req.code, "Admin invite redeemed — user licensed");
-                Json(RedeemResponse {
-                    result: "licensed".to_string(),
-                    checkout_url: None,
-                })
-                .into_response()
-            }
-            _ => {
-                warn!("Failed to update user subscription for admin invite");
-                StatusCode::BAD_GATEWAY.into_response()
-            }
+        if let Err(response) = grant_license_for_invite(&state, pb_url, &token, &user.id).await {
+            return response;
         }
-    } else {
-        // Referral invite — create discounted checkout with dynamic pricing
-        let count = match super::pricing::count_licensed_users(&state).await {
-            Ok(c) => c,
-            Err(err) => {
-                warn!("Failed to count licensed users for invite checkout: {err}");
-                return StatusCode::SERVICE_UNAVAILABLE.into_response();
-            }
-        };
-        let price_pence = super::pricing::price_for_count(count);
 
-        let secret_key = &state.stripe_secret_key;
-        let public_url = &state.public_url;
-        let success_url = format!("{public_url}/pricing?license_success=1");
-        let cancel_url = format!("{public_url}/pricing");
-
-        let form_params = vec![
-            ("mode", "payment".to_string()),
-            (
-                "line_items[0][price_data][unit_amount]",
-                price_pence.to_string(),
-            ),
-            ("line_items[0][price_data][currency]", "gbp".to_string()),
-            (
-                "line_items[0][price_data][product_data][name]",
-                "Perfect Postcodes Lifetime License".to_string(),
-            ),
-            ("line_items[0][quantity]", "1".to_string()),
-            ("success_url", success_url),
-            ("cancel_url", cancel_url),
-            ("client_reference_id", user.id.clone()),
-            ("customer_email", user.email.clone()),
-            (
-                "discounts[0][coupon]",
-                state.stripe_referral_coupon_id.clone(),
-            ),
-        ];
-
-        let stripe_res = state
-            .http_client
-            .post("https://api.stripe.com/v1/checkout/sessions")
-            .basic_auth(secret_key, None::<&str>)
-            .form(&form_params)
-            .send()
-            .await;
-
-        match stripe_res {
-            Ok(resp) if resp.status().is_success() => {
-                let stripe_body: serde_json::Value = resp.json().await.unwrap_or_default();
-                let checkout_url = stripe_body["url"].as_str().unwrap_or_default().to_string();
-                info!(user_id = %user.id, code = %req.code, "Referral invite redeemed — checkout created");
-                Json(RedeemResponse {
-                    result: "checkout".to_string(),
-                    checkout_url: Some(checkout_url),
-                })
-                .into_response()
-            }
-            _ => {
-                warn!("Failed to create Stripe checkout for referral invite");
-                StatusCode::BAD_GATEWAY.into_response()
-            }
+        if let Err(response) = mark_invite_used(&state, pb_url, &token, invite_id, &user.id).await {
+            return response;
         }
+
+        info!(user_id = %user.id, code = %req.code, "Admin invite redeemed; user licensed");
+        return Json(RedeemResponse {
+            result: "licensed".to_string(),
+            checkout_url: None,
+        })
+        .into_response();
     }
+
+    let checkout_url = match create_referral_checkout(&state, &user).await {
+        Ok(url) => url,
+        Err(response) => return response,
+    };
+
+    if let Err(response) = mark_invite_used(&state, pb_url, &token, invite_id, &user.id).await {
+        return response;
+    }
+
+    info!(user_id = %user.id, code = %req.code, "Referral invite redeemed; checkout created");
+    Json(RedeemResponse {
+        result: "checkout".to_string(),
+        checkout_url: Some(checkout_url),
+    })
+    .into_response()
 }
 
-/// List invites. Admins see all invites; licensed users see only their own.
+/// List invites. Users only see invites they created, including admins.
 pub async fn get_invites(
     State(shared): State<Arc<SharedState>>,
     Extension(user): Extension<OptionalUser>,
@@ -487,16 +645,9 @@ pub async fn get_invites(
         }
     };
 
-    let filter = if user.is_admin {
-        String::new()
-    } else {
-        format!("created_by=\"{}\"", user.id)
-    };
-
+    let filter = format!("created_by=\"{}\"", user.id);
     let mut url = format!("{pb_url}/api/collections/invites/records?sort=-created&perPage=200");
-    if !filter.is_empty() {
-        url.push_str(&format!("&filter={}", urlencoding::encode(&filter)));
-    }
+    url.push_str(&format!("&filter={}", urlencoding::encode(&filter)));
 
     let res = match state
         .http_client
diff --git a/server-rs/src/routes/pois.rs b/server-rs/src/routes/pois.rs
index db7b617..92cff51 100644
--- a/server-rs/src/routes/pois.rs
+++ b/server-rs/src/routes/pois.rs
@@ -3,14 +3,18 @@ use std::sync::Arc;
 use axum::extract::{Query, State};
 use axum::http::StatusCode;
 use axum::response::Json;
+use rustc_hash::FxHashMap;
 use serde::{Deserialize, Serialize};
 use tracing::info;
 
 use crate::consts::MAX_POIS_PER_REQUEST;
-use crate::data::POICategoryGroup;
+use crate::data::{POICategoryGroup, POIData};
 use crate::parsing::require_bounds;
 use crate::state::SharedState;
 
+const TUBE_STATION_CATEGORY: &str = "Tube station";
+const TUBE_STATION_MERGE_RADIUS_DEGREES: f32 = 0.01;
+
 #[derive(Serialize)]
 #[allow(clippy::upper_case_acronyms)]
 pub struct POI {
@@ -35,6 +39,167 @@ pub struct POIParams {
     categories: Option<String>,
 }
 
+struct SelectedPOIRow {
+    row: usize,
+    id_override: Option<String>,
+    name_override: Option<String>,
+    lat: f32,
+    lng: f32,
+    lat_sum: f32,
+    lng_sum: f32,
+    count: u32,
+    priority: u32,
+}
+
+impl SelectedPOIRow {
+    fn new(data: &POIData, row: usize, override_identity: bool) -> Self {
+        Self {
+            row,
+            id_override: override_identity.then(|| data.id(row).to_string()),
+            name_override: override_identity.then(|| data.name[row].clone()),
+            lat: data.lat[row],
+            lng: data.lng[row],
+            lat_sum: data.lat[row],
+            lng_sum: data.lng[row],
+            count: 1,
+            priority: data.priority[row],
+        }
+    }
+
+    fn merge_tube_station(&mut self, data: &POIData, row: usize) {
+        self.lat_sum += data.lat[row];
+        self.lng_sum += data.lng[row];
+        self.count += 1;
+        self.lat = self.lat_sum / self.count as f32;
+        self.lng = self.lng_sum / self.count as f32;
+        self.priority = self.priority.min(data.priority[row]);
+
+        let current_name = self
+            .name_override
+            .as_deref()
+            .unwrap_or(&data.name[self.row]);
+        let candidate_name = &data.name[row];
+        if tube_station_name_score(candidate_name) < tube_station_name_score(current_name) {
+            self.id_override = Some(data.id(row).to_string());
+            self.name_override = Some(candidate_name.clone());
+        }
+    }
+
+    fn id(&self, data: &POIData) -> String {
+        self.id_override
+            .clone()
+            .unwrap_or_else(|| data.id(self.row).to_string())
+    }
+
+    fn name(&self, data: &POIData) -> String {
+        self.name_override
+            .clone()
+            .unwrap_or_else(|| data.name[self.row].clone())
+    }
+}
+
+fn dedupe_tube_stations(data: &POIData, rows: Vec<usize>) -> Vec<SelectedPOIRow> {
+    let mut selected = Vec::with_capacity(rows.len());
+    let mut tube_groups: FxHashMap<String, Vec<usize>> = FxHashMap::default();
+
+    for row in rows {
+        if data.category.get(row) != TUBE_STATION_CATEGORY {
+            selected.push(SelectedPOIRow::new(data, row, false));
+            continue;
+        }
+
+        let station_key = canonical_tube_station_name(&data.name[row]);
+        if station_key.is_empty() {
+            selected.push(SelectedPOIRow::new(data, row, false));
+            continue;
+        }
+
+        let existing = tube_groups.get(&station_key).and_then(|indices| {
+            indices.iter().copied().find(|&index| {
+                same_tube_station_area(&selected[index], data.lat[row], data.lng[row])
+            })
+        });
+
+        if let Some(index) = existing {
+            selected[index].merge_tube_station(data, row);
+        } else {
+            let index = selected.len();
+            selected.push(SelectedPOIRow::new(data, row, true));
+            tube_groups.entry(station_key).or_default().push(index);
+        }
+    }
+
+    selected
+}
+
+fn canonical_tube_station_name(name: &str) -> String {
+    let mut normalized = String::with_capacity(name.len());
+    let mut paren_depth = 0u32;
+
+    for ch in name.chars() {
+        match ch {
+            '(' => {
+                paren_depth += 1;
+                normalized.push(' ');
+            }
+            ')' => {
+                paren_depth = paren_depth.saturating_sub(1);
+                normalized.push(' ');
+            }
+            _ if paren_depth > 0 => {}
+            '\'' | '’' | '`' => {}
+            '&' => normalized.push_str(" and "),
+            _ if ch.is_ascii_alphanumeric() => normalized.push(ch.to_ascii_lowercase()),
+            _ => normalized.push(' '),
+        }
+    }
+
+    let mut words: Vec<&str> = normalized.split_whitespace().collect();
+    const SUFFIXES: &[&[&str]] = &[
+        &["underground", "station"],
+        &["tube", "station"],
+        &["dlr", "station"],
+        &["metro", "station"],
+        &["tram", "stop"],
+        &["rail", "station"],
+        &["railway", "station"],
+        &["station"],
+        &["stop"],
+    ];
+
+    loop {
+        let Some(suffix) = SUFFIXES.iter().find(|suffix| words.ends_with(suffix)) else {
+            break;
+        };
+        words.truncate(words.len() - suffix.len());
+    }
+
+    words.join(" ")
+}
+
+fn same_tube_station_area(station: &SelectedPOIRow, lat: f32, lng: f32) -> bool {
+    let dlat = station.lat - lat;
+    let dlng = (station.lng - lng) * station.lat.to_radians().cos();
+    (dlat * dlat + dlng * dlng) <= TUBE_STATION_MERGE_RADIUS_DEGREES.powi(2)
+}
+
+fn tube_station_name_score(name: &str) -> (u8, usize) {
+    let lower = name.to_ascii_lowercase();
+    let suffix_penalty = if lower.ends_with(" underground station")
+        || lower.ends_with(" tube station")
+        || lower.ends_with(" dlr station")
+        || lower.ends_with(" metro station")
+        || lower.ends_with(" tram stop")
+        || lower.ends_with(" station")
+        || lower.ends_with(" stop")
+    {
+        1
+    } else {
+        0
+    };
+    (suffix_penalty, name.len())
+}
+
 pub async fn get_pois(
     State(shared): State<Arc<SharedState>>,
     Query(params): Query<POIParams>,
@@ -68,7 +233,7 @@ pub async fn get_pois(
         let t0 = std::time::Instant::now();
         let row_indices = state.poi_grid.query(south, west, north, east);
 
-        let mut matching_rows: Vec<usize> = row_indices
+        let matching_rows: Vec<usize> = row_indices
             .iter()
             .filter_map(|&row_idx| {
                 let row = row_idx as usize;
@@ -81,27 +246,32 @@ pub async fn get_pois(
             })
             .collect();
 
-        if matching_rows.len() > MAX_POIS_PER_REQUEST {
-            let ratio = (matching_rows.len() / MAX_POIS_PER_REQUEST) as u32;
+        let mut matching_pois = dedupe_tube_stations(&state.poi_data, matching_rows);
+
+        if matching_pois.len() > MAX_POIS_PER_REQUEST {
+            let ratio = (matching_pois.len() / MAX_POIS_PER_REQUEST) as u32;
             let step = ratio.next_power_of_two();
             let mask = step - 1;
-            matching_rows.retain(|&row| state.poi_data.priority[row] & mask == 0);
-            if matching_rows.len() > MAX_POIS_PER_REQUEST {
-                matching_rows.sort_unstable_by_key(|&row| state.poi_data.priority[row]);
-                matching_rows.truncate(MAX_POIS_PER_REQUEST);
+            matching_pois.retain(|poi| poi.priority & mask == 0);
+            if matching_pois.len() > MAX_POIS_PER_REQUEST {
+                matching_pois.sort_unstable_by_key(|poi| poi.priority);
+                matching_pois.truncate(MAX_POIS_PER_REQUEST);
             }
         }
 
-        let pois: Vec<POI> = matching_rows
+        let pois: Vec<POI> = matching_pois
             .iter()
-            .map(|&row| POI {
-                id: state.poi_data.id(row).to_string(),
-                name: state.poi_data.name[row].clone(),
-                category: state.poi_data.category.get(row).to_string(),
-                group: state.poi_data.group.get(row).to_string(),
-                lat: state.poi_data.lat[row],
-                lng: state.poi_data.lng[row],
-                emoji: state.poi_data.emoji.get(row).to_string(),
+            .map(|poi| {
+                let row = poi.row;
+                POI {
+                    id: poi.id(&state.poi_data),
+                    name: poi.name(&state.poi_data),
+                    category: state.poi_data.category.get(row).to_string(),
+                    group: state.poi_data.group.get(row).to_string(),
+                    lat: poi.lat,
+                    lng: poi.lng,
+                    emoji: state.poi_data.emoji.get(row).to_string(),
+                }
             })
             .collect();
 
@@ -143,3 +313,53 @@ pub async fn get_poi_categories(
 
     Json(POICategoriesResponse { groups })
 }
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn canonical_tube_station_name_strips_transport_suffixes() {
+        assert_eq!(canonical_tube_station_name("Bank"), "bank");
+        assert_eq!(
+            canonical_tube_station_name("Bank Underground Station"),
+            "bank"
+        );
+        assert_eq!(canonical_tube_station_name("Bank DLR Station"), "bank");
+        assert_eq!(
+            canonical_tube_station_name("Pleasure Beach (Blackpool Tramway)"),
+            "pleasure beach"
+        );
+        assert_eq!(
+            canonical_tube_station_name("Earl's Court Tube Station"),
+            "earls court"
+        );
+    }
+
+    #[test]
+    fn same_tube_station_area_keeps_distant_names_separate() {
+        let station = SelectedPOIRow {
+            row: 0,
+            id_override: None,
+            name_override: None,
+            lat: 51.5130,
+            lng: -0.0889,
+            lat_sum: 51.5130,
+            lng_sum: -0.0889,
+            count: 1,
+            priority: 0,
+        };
+
+        assert!(same_tube_station_area(&station, 51.5132, -0.0885));
+        assert!(!same_tube_station_area(&station, 55.0140, -1.6781));
+    }
+
+    #[test]
+    fn tube_station_name_score_prefers_plain_station_names() {
+        assert!(tube_station_name_score("Bank") < tube_station_name_score("Bank DLR Station"));
+        assert!(
+            tube_station_name_score("Acton Town")
+                < tube_station_name_score("Acton Town Underground Station")
+        );
+    }
+}
diff --git a/server-rs/src/routes/postcodes.rs b/server-rs/src/routes/postcodes.rs
index 904a2a4..0c44ee3 100644
--- a/server-rs/src/routes/postcodes.rs
+++ b/server-rs/src/routes/postcodes.rs
@@ -13,13 +13,13 @@ use tracing::info;
 use crate::aggregation::{Aggregator, EnumDistConfig};
 use crate::auth::OptionalUser;
 use crate::consts::MAX_CELLS_PER_REQUEST;
-use crate::pocketbase::log_user_location;
 use crate::data::travel_time::TravelData;
 use crate::licensing::check_license_bounds;
 use crate::parsing::{
     bounds_intersect, parse_enum_dist, parse_field_indices, parse_filters, require_bounds,
     row_passes_filters,
 };
+use crate::pocketbase::log_user_location;
 use crate::routes::travel_time::{parse_optional_travel, TravelTimeAgg};
 use crate::state::SharedState;
 use crate::utils::normalize_postcode;