{
 "generated_at": "2026-10-17T00:37:28+09:00",
 "data_through": {
  "crime": 2025,
  "accident": 2025
 },
 "source": [
  {
   "name": "京都府警察 犯罪オープンデータ",
   "publisher": "京都府警察",
   "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": "e-Stat 令和2年国勢調査 従業地・通学地による人口・就業状態等集計 第1-1表（昼間人口）",
   "publisher": "総務省統計局",
   "url": "https://www.e-stat.go.jp/stat-search/file-download?statInfId=000032214141&fileKind=0",
   "license": "政府標準利用規約（第2.0版）準拠（CC BY 4.0 互換）。出典を明記し、加工した旨を記載する",
   "note": "市区町村の昼間人口。市区町村の人口あたりの件数の分母（夜間人口と昼間人口の大きい方）に使った"
  }
 ],
 "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/26104/",
 "language": "ja",
 "title": "京都府京都市中京区の全国治安指数と犯罪・事故の件数",
 "data": {
  "city_code": "26104",
  "city_name": "京都市中京区",
  "pref_code": "26",
  "pref_name": "京都府",
  "population": 110488,
  "n_units": 506,
  "lat": 35.009878,
  "lon": 135.746935,
  "data_through": {
   "crime": 2025,
   "accident": 2025
  },
  "crime_years": [
   2018,
   2019,
   2020,
   2021,
   2022,
   2023,
   2024,
   2025
  ],
  "crime_totals": {
   "ひったくり": {
    "years": {
     "2018": 9,
     "2019": 7,
     "2020": 5,
     "2021": 1,
     "2022": 2,
     "2023": 0,
     "2024": 0,
     "2025": 0
    },
    "unassigned_share_latest": null
   },
   "車上ねらい": {
    "years": {
     "2018": 49,
     "2019": 64,
     "2020": 38,
     "2021": 35,
     "2022": 24,
     "2023": 34,
     "2024": 42,
     "2025": 31
    },
    "unassigned_share_latest": 1.0
   },
   "部品ねらい": {
    "years": {
     "2018": 23,
     "2019": 24,
     "2020": 17,
     "2021": 10,
     "2022": 4,
     "2023": 6,
     "2024": 7,
     "2025": 1
    },
    "unassigned_share_latest": 1.0
   },
   "自動販売機ねらい": {
    "years": {
     "2018": 10,
     "2019": 22,
     "2020": 3,
     "2021": 4,
     "2022": 3,
     "2023": 0,
     "2024": 0,
     "2025": 1
    },
    "unassigned_share_latest": 1.0
   },
   "自動車盗": {
    "years": {
     "2018": 4,
     "2019": 2,
     "2020": 2,
     "2021": 2,
     "2022": 0,
     "2023": 0,
     "2024": 1,
     "2025": 2
    },
    "unassigned_share_latest": 1.0
   },
   "オートバイ盗": {
    "years": {
     "2018": 22,
     "2019": 15,
     "2020": 3,
     "2021": 13,
     "2022": 9,
     "2023": 17,
     "2024": 12,
     "2025": 13
    },
    "unassigned_share_latest": 1.0
   },
   "自転車盗": {
    "years": {
     "2018": 507,
     "2019": 507,
     "2020": 299,
     "2021": 180,
     "2022": 282,
     "2023": 334,
     "2024": 317,
     "2025": 259
    },
    "unassigned_share_latest": 1.0
   }
  },
  "accident_totals": {
   "years": {
    "2019": {
     "accidents": 284,
     "deaths": 1,
     "injured": 327,
     "person_vs_vehicle": 53,
     "vehicle_vs_vehicle": 222,
     "single_vehicle": 9,
     "pedestrian": 53,
     "bicycle": 112,
     "night": 86
    },
    "2020": {
     "accidents": 230,
     "deaths": 1,
     "injured": 245,
     "person_vs_vehicle": 45,
     "vehicle_vs_vehicle": 174,
     "single_vehicle": 11,
     "pedestrian": 46,
     "bicycle": 88,
     "night": 71
    },
    "2021": {
     "accidents": 184,
     "deaths": 0,
     "injured": 197,
     "person_vs_vehicle": 34,
     "vehicle_vs_vehicle": 141,
     "single_vehicle": 8,
     "pedestrian": 34,
     "bicycle": 62,
     "night": 49
    },
    "2022": {
     "accidents": 226,
     "deaths": 0,
     "injured": 243,
     "person_vs_vehicle": 38,
     "vehicle_vs_vehicle": 183,
     "single_vehicle": 5,
     "pedestrian": 38,
     "bicycle": 95,
     "night": 68
    },
    "2023": {
     "accidents": 177,
     "deaths": 2,
     "injured": 199,
     "person_vs_vehicle": 32,
     "vehicle_vs_vehicle": 140,
     "single_vehicle": 5,
     "pedestrian": 33,
     "bicycle": 62,
     "night": 54
    },
    "2024": {
     "accidents": 180,
     "deaths": 0,
     "injured": 197,
     "person_vs_vehicle": 28,
     "vehicle_vs_vehicle": 147,
     "single_vehicle": 5,
     "pedestrian": 29,
     "bicycle": 78,
     "night": 44
    },
    "2025": {
     "accidents": 146,
     "deaths": 0,
     "injured": 161,
     "person_vs_vehicle": 33,
     "vehicle_vs_vehicle": 108,
     "single_vehicle": 5,
     "pedestrian": 33,
     "bicycle": 42,
     "night": 45
    }
   },
   "latest_provisional": true
  },
  "city_only": true,
  "tokyo": null,
  "n_units_pop": 0,
  "notes": [
   "京都市は住所が通り名で書かれるため、町丁目ではなく区の単位で示しています。"
  ],
  "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/26104/<unit_code>/",
  "index": {
   "score": 24,
   "reason": null,
   "crime_position": 9,
   "accident_position": 81,
   "crime_rate_10k": 31.4,
   "accident_rate_10k": 14.6,
   "crime_last_year": 2025,
   "accident_last_year": 2025,
   "window_years": 3,
   "n_scored": 1753,
   "size_adjusted": false,
   "denominator_population": 131443,
   "night_population": 110488,
   "day_population": 152398
  },
  "index_caveat": "窃盗の7種類（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）と人身事故の、人口あたりの件数から計算した指数です。暴行・傷害・性犯罪・詐欺などは含まれず、治安のすべてを表すものではありません。人口の多い都市の町は件数が多くなりやすく、点数が低く出る傾向があります。市区町村の点数は、昼間に人が多く集まる所に配慮して、夜間人口と昼間人口の平均で計算しています。",
  "index_reading": "index.score は 0〜100（高いほど人口あたりの件数が少ない側。全国の中での位置で、市区町村は夜間人口と昼間人口の平均で割った値）。null のときは index.reason（population_small | no_crime_data）。towns[].idx は町丁目の同じ指数（null は点数なし）",
  "towns": [],
  "pref_url": "https://tokeilab.org/safety/26/",
  "map_url": "https://tokeilab.org/safety/map/?lat=35.009878&lon=135.746935&z=14"
 }
}