{
 "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/23424/",
 "language": "ja",
 "title": "愛知県大治町の町丁目ごとの犯罪・事故の件数",
 "data": {
  "city_code": "23424",
  "city_name": "大治町",
  "pref_code": "23",
  "pref_name": "愛知県",
  "population": 32399,
  "n_units": 12,
  "lat": 35.173672,
  "lon": 136.821628,
  "data_through": {
   "crime": null,
   "accident": 2025
  },
  "crime_years": [],
  "crime_totals": null,
  "accident_totals": {
   "years": {
    "2019": {
     "accidents": 174,
     "deaths": 0,
     "injured": 217,
     "person_vs_vehicle": 18,
     "vehicle_vs_vehicle": 156,
     "single_vehicle": 0,
     "pedestrian": 18,
     "bicycle": 33,
     "night": 44
    },
    "2020": {
     "accidents": 103,
     "deaths": 1,
     "injured": 126,
     "person_vs_vehicle": 9,
     "vehicle_vs_vehicle": 92,
     "single_vehicle": 2,
     "pedestrian": 9,
     "bicycle": 26,
     "night": 26
    },
    "2021": {
     "accidents": 97,
     "deaths": 0,
     "injured": 118,
     "person_vs_vehicle": 3,
     "vehicle_vs_vehicle": 94,
     "single_vehicle": 0,
     "pedestrian": 3,
     "bicycle": 31,
     "night": 23
    },
    "2022": {
     "accidents": 120,
     "deaths": 0,
     "injured": 147,
     "person_vs_vehicle": 12,
     "vehicle_vs_vehicle": 108,
     "single_vehicle": 0,
     "pedestrian": 12,
     "bicycle": 30,
     "night": 34
    },
    "2023": {
     "accidents": 135,
     "deaths": 2,
     "injured": 170,
     "person_vs_vehicle": 11,
     "vehicle_vs_vehicle": 121,
     "single_vehicle": 3,
     "pedestrian": 11,
     "bicycle": 42,
     "night": 40
    },
    "2024": {
     "accidents": 95,
     "deaths": 0,
     "injured": 114,
     "person_vs_vehicle": 8,
     "vehicle_vs_vehicle": 85,
     "single_vehicle": 2,
     "pedestrian": 8,
     "bicycle": 24,
     "night": 28
    },
    "2025": {
     "accidents": 102,
     "deaths": 0,
     "injured": 121,
     "person_vs_vehicle": 14,
     "vehicle_vs_vehicle": 88,
     "single_vehicle": 0,
     "pedestrian": 14,
     "bicycle": 24,
     "night": 30
    }
   },
   "latest_provisional": true
  },
  "city_only": false,
  "tokyo": null,
  "n_units_pop": 12,
  "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/23424/<unit_code>/",
  "towns": [
   {
    "unit_code": "234240010",
    "name": "大字西條",
    "population": 9141,
    "crime": {},
    "accidents_latest": 34,
    "accidents_total": 267
   },
   {
    "unit_code": "234240020",
    "name": "大字中島",
    "population": 537,
    "crime": {},
    "accidents_latest": 4,
    "accidents_total": 34
   },
   {
    "unit_code": "234240030",
    "name": "大字花常",
    "population": 3210,
    "crime": {},
    "accidents_latest": 6,
    "accidents_total": 83
   },
   {
    "unit_code": "234240040",
    "name": "大字馬島",
    "population": 998,
    "crime": {},
    "accidents_latest": 4,
    "accidents_total": 45
   },
   {
    "unit_code": "234240050",
    "name": "大字三本木",
    "population": 3395,
    "crime": {},
    "accidents_latest": 20,
    "accidents_total": 154
   },
   {
    "unit_code": "234240060",
    "name": "大字砂子",
    "population": 5222,
    "crime": {},
    "accidents_latest": 10,
    "accidents_total": 65
   },
   {
    "unit_code": "234240070",
    "name": "大字鎌須賀",
    "population": 1882,
    "crime": {},
    "accidents_latest": 3,
    "accidents_total": 13
   },
   {
    "unit_code": "234240080",
    "name": "大字八ツ屋",
    "population": 717,
    "crime": {},
    "accidents_latest": 6,
    "accidents_total": 44
   },
   {
    "unit_code": "234240090",
    "name": "大字長牧",
    "population": 2028,
    "crime": {},
    "accidents_latest": 4,
    "accidents_total": 46
   },
   {
    "unit_code": "234240100",
    "name": "大字東條",
    "population": 1142,
    "crime": {},
    "accidents_latest": 6,
    "accidents_total": 21
   },
   {
    "unit_code": "234240110",
    "name": "大字北間島",
    "population": 2126,
    "crime": {},
    "accidents_latest": 2,
    "accidents_total": 32
   },
   {
    "unit_code": "234240120",
    "name": "大字堀之内",
    "population": 2001,
    "crime": {},
    "accidents_latest": 3,
    "accidents_total": 22
   }
  ],
  "pref_url": "https://tokeilab.org/safety/23/",
  "map_url": "https://tokeilab.org/safety/map/?lat=35.173672&lon=136.821628&z=14"
 }
}