{
 "generated_at": "2026-10-16T11:05:14+09:00",
 "data_through": {
  "crime": 2025,
  "accident": 2025
 },
 "source": [
  {
   "name": "静岡県警察 犯罪オープンデータ",
   "publisher": "静岡県警察",
   "url": "https://www.npa.go.jp/toukei/seianki/hanzaiopendatalink.html",
   "license": "政府標準利用規約2.0",
   "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"
  }
 ],
 "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/22134/",
 "language": "ja",
 "title": "静岡県浜松市南区の町丁目ごとの犯罪・事故の件数",
 "data": {
  "city_code": "22134",
  "city_name": "浜松市南区",
  "pref_code": "22",
  "pref_name": "静岡県",
  "population": 99769,
  "n_units": 59,
  "lat": 34.6862,
  "lon": 137.742757,
  "data_through": {
   "crime": 2025,
   "accident": 2025
  },
  "crime_years": [
   2021,
   2022,
   2023,
   2024,
   2025
  ],
  "crime_totals": {
   "ひったくり": {
    "years": {
     "2021": 0,
     "2022": 0,
     "2023": 0,
     "2024": 0,
     "2025": 0
    },
    "unassigned_share_latest": null
   },
   "車上ねらい": {
    "years": {
     "2021": 8,
     "2022": 13,
     "2023": 14,
     "2024": 7,
     "2025": 9
    },
    "unassigned_share_latest": 0.0
   },
   "部品ねらい": {
    "years": {
     "2021": 18,
     "2022": 8,
     "2023": 4,
     "2024": 0,
     "2025": 6
    },
    "unassigned_share_latest": 0.0
   },
   "自動販売機ねらい": {
    "years": {
     "2021": 2,
     "2022": 6,
     "2023": 1,
     "2024": 1,
     "2025": 3
    },
    "unassigned_share_latest": 0.0
   },
   "自動車盗": {
    "years": {
     "2021": 6,
     "2022": 7,
     "2023": 3,
     "2024": 0,
     "2025": 5
    },
    "unassigned_share_latest": 0.0
   },
   "オートバイ盗": {
    "years": {
     "2021": 4,
     "2022": 1,
     "2023": 2,
     "2024": 0,
     "2025": 0
    },
    "unassigned_share_latest": null
   },
   "自転車盗": {
    "years": {
     "2021": 59,
     "2022": 68,
     "2023": 106,
     "2024": 59,
     "2025": 70
    },
    "unassigned_share_latest": 0.0
   }
  },
  "accident_totals": {
   "years": {
    "2019": {
     "accidents": 754,
     "deaths": 2,
     "injured": 987,
     "person_vs_vehicle": 39,
     "vehicle_vs_vehicle": 699,
     "single_vehicle": 16,
     "pedestrian": 39,
     "bicycle": 92,
     "night": 164
    },
    "2020": {
     "accidents": 694,
     "deaths": 2,
     "injured": 918,
     "person_vs_vehicle": 40,
     "vehicle_vs_vehicle": 632,
     "single_vehicle": 22,
     "pedestrian": 40,
     "bicycle": 81,
     "night": 163
    },
    "2021": {
     "accidents": 643,
     "deaths": 3,
     "injured": 791,
     "person_vs_vehicle": 46,
     "vehicle_vs_vehicle": 581,
     "single_vehicle": 16,
     "pedestrian": 49,
     "bicycle": 106,
     "night": 152
    },
    "2022": {
     "accidents": 628,
     "deaths": 3,
     "injured": 836,
     "person_vs_vehicle": 32,
     "vehicle_vs_vehicle": 579,
     "single_vehicle": 17,
     "pedestrian": 33,
     "bicycle": 84,
     "night": 149
    },
    "2023": {
     "accidents": 583,
     "deaths": 0,
     "injured": 740,
     "person_vs_vehicle": 47,
     "vehicle_vs_vehicle": 523,
     "single_vehicle": 13,
     "pedestrian": 47,
     "bicycle": 101,
     "night": 152
    },
    "2024": {
     "accidents": 632,
     "deaths": 1,
     "injured": 803,
     "person_vs_vehicle": 48,
     "vehicle_vs_vehicle": 579,
     "single_vehicle": 5,
     "pedestrian": 48,
     "bicycle": 86,
     "night": 167
    },
    "2025": {
     "accidents": 575,
     "deaths": 1,
     "injured": 713,
     "person_vs_vehicle": 48,
     "vehicle_vs_vehicle": 515,
     "single_vehicle": 12,
     "pedestrian": 48,
     "bicycle": 84,
     "night": 127
    }
   },
   "latest_provisional": true
  },
  "city_only": false,
  "tokyo": null,
  "n_units_pop": 47,
  "notes": [
   "静岡県の犯罪のデータは2021年からです。2018年と比べた増減は出していません。"
  ],
  "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/22134/<unit_code>/",
  "towns": [
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    "unit_code": "221340010",
    "name": "三島町",
    "population": 6235,
    "crime": {
     "オートバイ盗": [
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      0.0,
      null,
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     ],
     "自動車盗": [
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      0
     ],
     "自転車盗": [
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      null,
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     ],
     "部品ねらい": [
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     ]
    },
    "accidents_latest": 25,
    "accidents_total": 202
   },
   {
    "unit_code": "221340020",
    "name": "寺脇町",
    "population": 3075,
    "crime": {
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     ],
     "車上ねらい": [
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    },
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    "accidents_total": 120
   },
   {
    "unit_code": "221340030",
    "name": "福塚町",
    "population": 196,
    "crime": {
     "自動販売機ねらい": [
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    },
    "accidents_latest": 9,
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   },
   {
    "unit_code": "221340040",
    "name": "中田島町",
    "population": 1852,
    "crime": {
     "自動販売機ねらい": [
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     "車上ねらい": [
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    "accidents_latest": 27,
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   },
   {
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     "自転車盗": [
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   },
   {
    "unit_code": "221340060",
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   {
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    "crime": {
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     "自転車盗": [
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   },
   {
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    "crime": {
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     "自転車盗": [
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     "部品ねらい": [
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    },
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   },
   {
    "unit_code": "221340090",
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    "crime": {
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     "自動車盗": [
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     "自転車盗": [
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    },
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   },
   {
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    "crime": {
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   },
   {
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   },
   {
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    "population": 2248,
    "crime": {
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   },
   {
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   },
   {
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   },
   {
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    "name": "渡瀬町",
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     "自転車盗": [
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     ]
    },
    "accidents_latest": 5,
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   },
   {
    "unit_code": "221340170",
    "name": "三和町",
    "population": 2476,
    "crime": {
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    },
    "accidents_latest": 7,
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   },
   {
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    "crime": {
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    },
    "accidents_latest": 53,
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   },
   {
    "unit_code": "221340190",
    "name": "下飯田町",
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    "crime": {
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   },
   {
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