{
 "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/23427/",
 "language": "ja",
 "title": "愛知県飛島村の町丁目ごとの犯罪・事故の件数",
 "data": {
  "city_code": "23427",
  "city_name": "飛島村",
  "pref_code": "23",
  "pref_name": "愛知県",
  "population": 4575,
  "n_units": 12,
  "lat": 35.081205,
  "lon": 136.793077,
  "data_through": {
   "crime": null,
   "accident": 2025
  },
  "crime_years": [],
  "crime_totals": null,
  "accident_totals": {
   "years": {
    "2019": {
     "accidents": 103,
     "deaths": 1,
     "injured": 122,
     "person_vs_vehicle": 3,
     "vehicle_vs_vehicle": 96,
     "single_vehicle": 4,
     "pedestrian": 3,
     "bicycle": 6,
     "night": 24
    },
    "2020": {
     "accidents": 80,
     "deaths": 1,
     "injured": 94,
     "person_vs_vehicle": 7,
     "vehicle_vs_vehicle": 69,
     "single_vehicle": 4,
     "pedestrian": 7,
     "bicycle": 2,
     "night": 17
    },
    "2021": {
     "accidents": 91,
     "deaths": 1,
     "injured": 119,
     "person_vs_vehicle": 2,
     "vehicle_vs_vehicle": 84,
     "single_vehicle": 5,
     "pedestrian": 2,
     "bicycle": 1,
     "night": 27
    },
    "2022": {
     "accidents": 59,
     "deaths": 1,
     "injured": 80,
     "person_vs_vehicle": 4,
     "vehicle_vs_vehicle": 53,
     "single_vehicle": 2,
     "pedestrian": 4,
     "bicycle": 1,
     "night": 14
    },
    "2023": {
     "accidents": 77,
     "deaths": 0,
     "injured": 109,
     "person_vs_vehicle": 4,
     "vehicle_vs_vehicle": 72,
     "single_vehicle": 1,
     "pedestrian": 4,
     "bicycle": 2,
     "night": 18
    },
    "2024": {
     "accidents": 65,
     "deaths": 1,
     "injured": 79,
     "person_vs_vehicle": 2,
     "vehicle_vs_vehicle": 61,
     "single_vehicle": 2,
     "pedestrian": 2,
     "bicycle": 3,
     "night": 12
    },
    "2025": {
     "accidents": 67,
     "deaths": 1,
     "injured": 94,
     "person_vs_vehicle": 1,
     "vehicle_vs_vehicle": 62,
     "single_vehicle": 4,
     "pedestrian": 3,
     "bicycle": 1,
     "night": 18
    }
   },
   "latest_provisional": true
  },
  "city_only": false,
  "tokyo": null,
  "n_units_pop": 5,
  "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/23427/<unit_code>/",
  "towns": [
   {
    "unit_code": "234270010",
    "name": "大字服岡",
    "population": 634,
    "crime": {},
    "accidents_latest": 0,
    "accidents_total": 6
   },
   {
    "unit_code": "234270020",
    "name": "大字三福",
    "population": 106,
    "crime": {},
    "accidents_latest": 2,
    "accidents_total": 7
   },
   {
    "unit_code": "234270030",
    "name": "大字渚",
    "population": 566,
    "crime": {},
    "accidents_latest": 5,
    "accidents_total": 31
   },
   {
    "unit_code": "234270041",
    "name": "大宝",
    "population": 629,
    "crime": {},
    "accidents_latest": 6,
    "accidents_total": 37
   },
   {
    "unit_code": "234270042",
    "name": "大字重宝",
    "population": 24,
    "crime": {},
    "accidents_latest": 0,
    "accidents_total": 3
   },
   {
    "unit_code": "234270050",
    "name": "大字松之郷",
    "population": 384,
    "crime": {},
    "accidents_latest": 3,
    "accidents_total": 15
   },
   {
    "unit_code": "234270060",
    "name": "元起",
    "population": 445,
    "crime": {},
    "accidents_latest": 2,
    "accidents_total": 11
   },
   {
    "unit_code": "234270070",
    "name": "竹之郷",
    "population": 545,
    "crime": {},
    "accidents_latest": 11,
    "accidents_total": 89
   },
   {
    "unit_code": "234270080",
    "name": "大字梅之郷",
    "population": 173,
    "crime": {},
    "accidents_latest": 14,
    "accidents_total": 111
   },
   {
    "unit_code": "234270090",
    "name": "大字古政成",
    "population": 469,
    "crime": {},
    "accidents_latest": 0,
    "accidents_total": 8
   },
   {
    "unit_code": "234270100",
    "name": "大字新政成",
    "population": 548,
    "crime": {},
    "accidents_latest": 6,
    "accidents_total": 38
   },
   {
    "unit_code": "234270110",
    "name": "木場",
    "population": 52,
    "crime": {},
    "accidents_latest": 17,
    "accidents_total": 177
   }
  ],
  "pref_url": "https://tokeilab.org/safety/23/",
  "map_url": "https://tokeilab.org/safety/map/?lat=35.081205&lon=136.793077&z=14"
 }
}