{
 "generated_at": "2026-10-16T11:05:14+09:00",
 "data_through": {
  "crime": null,
  "accident": 2025
 },
 "source": [
  {
   "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"
  }
 ],
 "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/23425/",
 "language": "ja",
 "title": "愛知県蟹江町の町丁目ごとの犯罪・事故の件数",
 "data": {
  "city_code": "23425",
  "city_name": "蟹江町",
  "pref_code": "23",
  "pref_name": "愛知県",
  "population": 37338,
  "n_units": 58,
  "lat": 35.133203,
  "lon": 136.786546,
  "data_through": {
   "crime": null,
   "accident": 2025
  },
  "crime_years": [],
  "crime_totals": null,
  "accident_totals": {
   "years": {
    "2019": {
     "accidents": 201,
     "deaths": 0,
     "injured": 259,
     "person_vs_vehicle": 13,
     "vehicle_vs_vehicle": 188,
     "single_vehicle": 0,
     "pedestrian": 13,
     "bicycle": 55,
     "night": 47
    },
    "2020": {
     "accidents": 198,
     "deaths": 1,
     "injured": 246,
     "person_vs_vehicle": 13,
     "vehicle_vs_vehicle": 173,
     "single_vehicle": 12,
     "pedestrian": 13,
     "bicycle": 51,
     "night": 50
    },
    "2021": {
     "accidents": 149,
     "deaths": 1,
     "injured": 179,
     "person_vs_vehicle": 12,
     "vehicle_vs_vehicle": 129,
     "single_vehicle": 8,
     "pedestrian": 12,
     "bicycle": 42,
     "night": 40
    },
    "2022": {
     "accidents": 120,
     "deaths": 1,
     "injured": 141,
     "person_vs_vehicle": 8,
     "vehicle_vs_vehicle": 108,
     "single_vehicle": 4,
     "pedestrian": 8,
     "bicycle": 34,
     "night": 39
    },
    "2023": {
     "accidents": 138,
     "deaths": 0,
     "injured": 165,
     "person_vs_vehicle": 15,
     "vehicle_vs_vehicle": 121,
     "single_vehicle": 2,
     "pedestrian": 15,
     "bicycle": 35,
     "night": 35
    },
    "2024": {
     "accidents": 130,
     "deaths": 0,
     "injured": 156,
     "person_vs_vehicle": 12,
     "vehicle_vs_vehicle": 117,
     "single_vehicle": 1,
     "pedestrian": 13,
     "bicycle": 25,
     "night": 32
    },
    "2025": {
     "accidents": 158,
     "deaths": 2,
     "injured": 191,
     "person_vs_vehicle": 15,
     "vehicle_vs_vehicle": 137,
     "single_vehicle": 6,
     "pedestrian": 15,
     "bicycle": 39,
     "night": 43
    }
   },
   "latest_provisional": true
  },
  "city_only": false,
  "tokyo": null,
  "n_units_pop": 26,
  "notes": [],
  "crime_types": [
   "ひったくり",
   "車上ねらい",
   "部品ねらい",
   "自動販売機ねらい",
   "自動車盗",
   "オートバイ盗",
   "自転車盗"
  ],
  "crime_columns": [
   "count_latest",
   "per_10k_latest",
   "rank_count",
   "rank_per_10k",
   "rank_shown",
   "change_2018_diff",
   "change_2018_ratio",
   "change_3y_diff",
   "change_3y_ratio",
   "evaluable"
  ],
  "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/23425/<unit_code>/",
  "towns": [
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    "name": "大字蟹江本町字川西",
    "population": 434,
    "crime": {},
    "accidents_latest": 6,
    "accidents_total": 30
   },
   {
    "unit_code": "23425001002",
    "name": "大字蟹江本町字栄花野",
    "population": 0,
    "crime": {},
    "accidents_latest": 1,
    "accidents_total": 11
   },
   {
    "unit_code": "234250030",
    "name": "大字須成",
    "population": 3180,
    "crime": {},
    "accidents_latest": 24,
    "accidents_total": 103
   },
   {
    "unit_code": "234250040",
    "name": "大字蟹江新田",
    "population": 2190,
    "crime": {},
    "accidents_latest": 19,
    "accidents_total": 144
   },
   {
    "unit_code": "234250050",
    "name": "大字西之森",
    "population": 909,
    "crime": {},
    "accidents_latest": 0,
    "accidents_total": 12
   },
   {
    "unit_code": "234250060",
    "name": "大字今",
    "population": 2259,
    "crime": {},
    "accidents_latest": 5,
    "accidents_total": 29
   },
   {
    "unit_code": "234250070",
    "name": "大字蟹江新町",
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    "crime": {},
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   },
   {
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    "crime": {},
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   },
   {
    "unit_code": "23425008201",
    "name": "南一丁目",
    "population": 72,
    "crime": {},
    "accidents_latest": 3,
    "accidents_total": 11
   },
   {
    "unit_code": "23425008202",
    "name": "南二丁目",
    "population": 337,
    "crime": {},
    "accidents_latest": 0,
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   },
   {
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    "name": "南三丁目",
    "population": 10,
    "crime": {},
    "accidents_latest": 1,
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   },
   {
    "unit_code": "234250090",
    "name": "大字新千秋",
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    "crime": {},
    "accidents_latest": 1,
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   },
   {
    "unit_code": "234250100",
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    "crime": {},
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   },
   {
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    "crime": {},
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   },
   {
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   },
   {
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   {
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   },
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   {
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   },
   {
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    "crime": {},
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   {
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   {
    "unit_code": "23425019000",
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    "crime": {},
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   {
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   {
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   {
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   {
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   {
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   {
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   {
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   {
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   {
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   {
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   {
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   {
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   {
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   {
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   {
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    "name": "学戸五丁目",
    "population": 382,
    "crime": {},
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   },
   {
    "unit_code": "23425030006",
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   {
    "unit_code": "23425030007",
    "name": "学戸七丁目",
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   },
   {
    "unit_code": "23425031001",
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   },
   {
    "unit_code": "23425031002",
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   {
    "unit_code": "23425031003",
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   {
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   {
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   {
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   {
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   {
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   {
    "unit_code": "23425033000",
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   {
    "unit_code": "23425033002",
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   },
   {
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   },
   {
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   },
   {
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   {
    "unit_code": "23425034002",
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  ],
  "pref_url": "https://tokeilab.org/safety/23/",
  "map_url": "https://tokeilab.org/safety/map/?lat=35.133203&lon=136.786546&z=14"
 }
}