{
 "generated_at": "2026-10-16T12:59:50+09:00",
 "data_through": {
  "crime": 2025,
  "accident": 2025
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 "source": [
  {
   "name": "警視庁 犯罪オープンデータ",
   "publisher": "警視庁",
   "url": "https://www.npa.go.jp/toukei/seianki/hanzaiopendatalink.html",
   "license": "CC BY 4.0",
   "note": "窃盗7手口。tokeilab が町丁目単位に集計・加工した"
  },
  {
   "name": "警察庁 交通事故統計情報のオープンデータ",
   "publisher": "警察庁",
   "url": "https://www.npa.go.jp/publications/statistics/koutsuu/opendata/index_opendata.html",
   "license": "公共データ利用規約 第1.0版（PDL1.0）。警察庁ウェブサイト利用規約に従い、編集・加工した旨を記載する",
   "note": "人身事故のみ。tokeilab が町丁目・50m格子に集計・加工した"
  },
  {
   "name": "e-Stat 国勢調査 2020年 小地域（町丁・字等）境界・人口",
   "publisher": "総務省統計局",
   "url": "https://www.e-stat.go.jp/gis/statmap-search?page=1&type=2&aggregateUnitForBoundary=A&toukeiCode=00200521&toukeiYear=2020",
   "license": "政府標準利用規約（第2.0版）。出典を明記し、加工した旨を記載する",
   "note": "町丁目の人口・世帯数・重心"
  },
  {
   "name": "警視庁 区市町村の町丁別、罪種別及び手口別認知件数",
   "publisher": "警視庁",
   "url": "https://www.keishicho.metro.tokyo.lg.jp/about_mpd/jokyo_tokei/jokyo/ninchikensu.html",
   "license": "東京都オープンデータ利用規約（CC BY 4.0。出典の記載と、加工した旨の記載が必要）。公表当時の暫定値",
   "note": "東京都のみ。県警オープンデータとは別系列"
  }
 ],
 "license": "CC-BY-4.0",
 "license_notice": "CC BY 4.0, tokeilab。都道府県警察の犯罪オープンデータ、警察庁の交通事故統計情報のオープンデータ、警視庁の町丁別集計表、e-Stat 国勢調査を tokeilab が加工して作成。",
 "schema_url": "https://tokeilab.org/schema/safety/",
 "canonical_url": "https://tokeilab.org/safety/13205/",
 "language": "ja",
 "title": "東京都青梅市の町丁目ごとの犯罪・事故の件数",
 "data": {
  "city_code": "13205",
  "city_name": "青梅市",
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  "lon": 139.279481,
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   "accident": 2025
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     "person_vs_vehicle": 54,
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     "single_vehicle": 5,
     "pedestrian": 54,
     "bicycle": 97,
     "night": 93
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     "deaths": 4,
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     "person_vs_vehicle": 56,
     "vehicle_vs_vehicle": 235,
     "single_vehicle": 19,
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     "deaths": 2,
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     "person_vs_vehicle": 39,
     "vehicle_vs_vehicle": 212,
     "single_vehicle": 8,
     "pedestrian": 39,
     "bicycle": 66,
     "night": 49
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    "2022": {
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     "injured": 314,
     "person_vs_vehicle": 35,
     "vehicle_vs_vehicle": 211,
     "single_vehicle": 17,
     "pedestrian": 36,
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    "2023": {
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     "deaths": 2,
     "injured": 299,
     "person_vs_vehicle": 43,
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     "single_vehicle": 11,
     "pedestrian": 44,
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     "night": 61
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    "2024": {
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     "deaths": 1,
     "injured": 337,
     "person_vs_vehicle": 50,
     "vehicle_vs_vehicle": 203,
     "single_vehicle": 31,
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    "2025": {
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     "deaths": 3,
     "injured": 303,
     "person_vs_vehicle": 54,
     "vehicle_vs_vehicle": 178,
     "single_vehicle": 33,
     "pedestrian": 55,
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   "latest_provisional": true
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  "city_only": false,
  "tokyo": {
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   "provisional": true,
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   "totals": {
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     "unassigned_share_latest": 0.0
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    "その他/その他知能犯": {
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      "2013": 0,
      "2014": 4,
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    "その他/占有離脱物横領": {
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    "その他/詐欺": {
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    "侵入窃盗/事務所荒し": {
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    "侵入窃盗/空き巣": {
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     "unassigned_share_latest": 0.0
    },
    "非侵入窃盗/車上ねらい": {
     "years": {
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      "2011": 84,
      "2012": 60,
      "2013": 57,
      "2014": 55,
      "2015": 49,
      "2016": 40,
      "2017": 41,
      "2018": 39,
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     "unassigned_share_latest": 0.0
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  },
  "n_units_pop": 99,
  "notes": [],
  "crime_types": [
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   "車上ねらい",
   "部品ねらい",
   "自動販売機ねらい",
   "自動車盗",
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  "crime_columns": [
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  "ranks_note": "rank_count の母数は n_units、rank_per_10k の母数は n_units_pop。rank_shown=1 のときだけ順位を出す、evaluable=1 のときだけ増減を出す",
  "town_page_template": "https://tokeilab.org/safety/13205/<unit_code>/",
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}