{
 "generated_at": "2026-10-16T12:59:50+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/32209/",
 "language": "ja",
 "title": "島根県雲南市の町丁目ごとの犯罪・事故の件数",
 "data": {
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  "city_name": "雲南市",
  "pref_code": "32",
  "pref_name": "島根県",
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  "n_units": 93,
  "lat": 35.295375,
  "lon": 132.912554,
  "data_through": {
   "crime": null,
   "accident": 2025
  },
  "crime_years": [],
  "crime_totals": null,
  "accident_totals": {
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     "accidents": 34,
     "deaths": 3,
     "injured": 37,
     "person_vs_vehicle": 8,
     "vehicle_vs_vehicle": 20,
     "single_vehicle": 6,
     "pedestrian": 8,
     "bicycle": 1,
     "night": 7
    },
    "2020": {
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     "deaths": 2,
     "injured": 54,
     "person_vs_vehicle": 8,
     "vehicle_vs_vehicle": 33,
     "single_vehicle": 4,
     "pedestrian": 8,
     "bicycle": 3,
     "night": 13
    },
    "2021": {
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     "deaths": 0,
     "injured": 44,
     "person_vs_vehicle": 5,
     "vehicle_vs_vehicle": 23,
     "single_vehicle": 1,
     "pedestrian": 5,
     "bicycle": 2,
     "night": 4
    },
    "2022": {
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     "deaths": 0,
     "injured": 25,
     "person_vs_vehicle": 4,
     "vehicle_vs_vehicle": 20,
     "single_vehicle": 0,
     "pedestrian": 4,
     "bicycle": 0,
     "night": 5
    },
    "2023": {
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     "deaths": 0,
     "injured": 48,
     "person_vs_vehicle": 3,
     "vehicle_vs_vehicle": 33,
     "single_vehicle": 0,
     "pedestrian": 3,
     "bicycle": 1,
     "night": 9
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    "2024": {
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     "person_vs_vehicle": 7,
     "vehicle_vs_vehicle": 18,
     "single_vehicle": 2,
     "pedestrian": 7,
     "bicycle": 3,
     "night": 2
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    "2025": {
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     "deaths": 0,
     "injured": 37,
     "person_vs_vehicle": 3,
     "vehicle_vs_vehicle": 26,
     "single_vehicle": 0,
     "pedestrian": 3,
     "bicycle": 6,
     "night": 5
    }
   },
   "latest_provisional": true
  },
  "city_only": false,
  "tokyo": null,
  "n_units_pop": 21,
  "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",
   "オートバイ盗",
   "自転車盗"
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  "crime_columns": [
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   "per_10k_latest",
   "rank_count",
   "rank_per_10k",
   "rank_shown",
   "change_2018_diff",
   "change_2018_ratio",
   "change_3y_diff",
   "change_3y_ratio",
   "evaluable"
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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/32209/<unit_code>/",
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    "name_arabic": "木次町木次"
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   {
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    "name_arabic": "木次町新市"
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   {
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    "name_arabic": "木次町里方"
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    "name_arabic": "木次町山方"
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