{
  "version": 2,
  "publishDate": "2026-11-12",
  "production": {
    "servesRelease": null
  },
  "methodology": {
    "countryPopulation": "Indexable records: primary name present, first address country present and trimmed length two; country key lowercased as in the shard inventory. No confidence filter.",
    "categoryPopulation": "The same indexable population, exact basic_category; null becomes unknown.",
    "confidencePopulation": "The same indexable population; source scores, not audited accuracy.",
    "cityPopulation": "All source records whose bbox.xmin/bbox.ymin is inside each inclusive rectangle, confidence >= 0.6; no name or country filter. Frames are not municipal boundaries and include water.",
    "minimumCountrySize": 100000,
    "countryRankingRule": "Both releases meet the size floor; top five absolute/percent gains plus every decline in the chart and deduplicated table. Percent denominator is the previous release; zero has null percent.",
    "rounding": "Counts exact; table/chart percentages rounded to two decimals, headline country percentages to the nearest whole percent."
  },
  "current": {
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    "schemaVersion": "2.0.0",
    "stacUrl": "https://stac.overturemaps.org/2026-09-23.0/catalog.json",
    "previousRelease": null,
    "source": "s3://overturemaps-us-west-2/release/2026-09-23.0/theme=places/type=place/*",
    "releaseNotes": "https://docs.overturemaps.org/blog/2026/09/23/release-notes/",
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      "LY": 26500,
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      "MO": 12611,
      "TW": 927563,
      "KR": 506434,
      "JP": 2914402,
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      "AI": 550,
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      "CC": 27,
      "SB": 644,
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      "XQ": 2,
      "TF": 32,
      "EH": 3,
      "XH": 3,
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      "arcade": 29999,
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      "smoothie_juice_bar": 65585,
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      "specialized_medical_facility": 47766,
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    "confidence": {
      "0.9_to_1": 24705646,
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    "cities": [
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        "slug": "tokyo",
        "name": "Tokyo",
        "country": "JP",
        "frame": "Shibuya to Ueno",
        "bbox": [
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        "slug": "manhattan",
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          40.79
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        "slug": "london",
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        "frame": "Westminster to Shoreditch",
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          51.54
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        "slug": "saopaulo",
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        "frame": "Centro and Pinheiros",
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      {
        "slug": "nairobi",
        "name": "Nairobi",
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        "frame": "CBD and Westlands",
        "bbox": [
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      },
      {
        "slug": "paris",
        "name": "Paris",
        "country": "FR",
        "frame": "Central Paris",
        "bbox": [
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          48.82,
          2.4,
          48.9
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        "count": 82063
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      {
        "slug": "lagos",
        "name": "Lagos",
        "country": "NG",
        "frame": "Lagos Island and mainland",
        "bbox": [
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          6.43,
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        "count": 9641
      },
      {
        "slug": "cairo",
        "name": "Cairo",
        "country": "EG",
        "frame": "Central Cairo",
        "bbox": [
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          29.99,
          31.3,
          30.1
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      {
        "slug": "capetown",
        "name": "Cape Town",
        "country": "ZA",
        "frame": "City bowl and waterfront",
        "bbox": [
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          -33.88
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      },
      {
        "slug": "mumbai",
        "name": "Mumbai",
        "country": "IN",
        "frame": "South Mumbai",
        "bbox": [
          72.79,
          18.89,
          72.88,
          19.02
        ],
        "count": 16699
      },
      {
        "slug": "singapore",
        "name": "Singapore",
        "country": "SG",
        "frame": "Central Singapore",
        "bbox": [
          103.78,
          1.25,
          103.9,
          1.37
        ],
        "count": 41693
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      {
        "slug": "jakarta",
        "name": "Jakarta",
        "country": "ID",
        "frame": "Central Jakarta",
        "bbox": [
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          -6.13
        ],
        "count": 42021
      },
      {
        "slug": "sydney",
        "name": "Sydney",
        "country": "AU",
        "frame": "CBD and inner suburbs",
        "bbox": [
          151.14,
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          151.25,
          -33.83
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        "count": 46290
      },
      {
        "slug": "seoul",
        "name": "Seoul",
        "country": "KR",
        "frame": "Central Seoul",
        "bbox": [
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          37.49,
          127.06,
          37.61
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        "count": 51954
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      {
        "slug": "mexicocity",
        "name": "Mexico City",
        "country": "MX",
        "frame": "Centro, Roma and Condesa",
        "bbox": [
          -99.2,
          19.38,
          -99.1,
          19.46
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        "count": 48064
      },
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  "publisherNotes": {
    "url": "https://docs.overturemaps.org/blog/2026/09/23/release-notes/",
    "httpStatus": 200,
    "placesText": "Places grew 10.6% this release, driven by the expansion of BrightQuery coverage beyond the United States.\n\nRemoved the deprecated categories property in favor of taxonomy and basic_category.\n\nPlace count grew from 73,631,092 to 81,455,425, an increase of 10.63%.\n\nExpanded BrightQuery from United States-only coverage to coverage in the United States, Germany, Italy, and Denmark. Added additional US places under the services_and_business category. BrightQuery places grew from 2,289,171 to 10,255,071, an increase of 348%.\n\nOperating status coverage improved: places marked open grew 66.2%, from 11,047,288 to 18,361,914.\n\nBrightQuery place density, August vs. September: new coverage appears across Germany, Denmark, and Italy.",
    "paragraphs": [
      "Places grew 10.6% this release, driven by the expansion of BrightQuery coverage beyond the United States.",
      "Removed the deprecated categories property in favor of taxonomy and basic_category.",
      "Place count grew from 73,631,092 to 81,455,425, an increase of 10.63%.",
      "Expanded BrightQuery from United States-only coverage to coverage in the United States, Germany, Italy, and Denmark. Added additional US places under the services_and_business category. BrightQuery places grew from 2,289,171 to 10,255,071, an increase of 348%.",
      "Operating status coverage improved: places marked open grew 66.2%, from 11,047,288 to 18,361,914.",
      "BrightQuery place density, August vs. September: new coverage appears across Germany, Denmark, and Italy."
    ],
    "sha256": "34f5b3270a913e7c4d5fcad3a5666f474441ceaef030a340dbb4fb3517ebcd36"
  },
  "visuals": {
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      "source": [
        "https://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-0-details/",
        "https://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-0-countries/",
        "https://www.naturalearthdata.com/downloads/110m-cultural-vectors/110m-admin-0-countries/"
      ],
      "method": "Planar centroid of exterior country polygons, area weighted with antimeridian unwrapping; approximate map positions, not place coordinates. Coastline: Natural Earth 1:110m. Technical source codes are unlocated.",
      "centroids": {
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}
