{ "generated_at": "2026-10-16T11:05:14+09:00", "data_through": { "crime": 2025, "accident": 2025 }, "source": [ { "name": "千葉県警察 犯罪オープンデータ", "publisher": "千葉県警察", "url": "https://www.npa.go.jp/toukei/seianki/hanzaiopendatalink.html", "license": "商用可・出典明記", "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/12106/", "language": "ja", "title": "千葉県千葉市美浜区の町丁目ごとの犯罪・事故の件数", "data": { "city_code": "12106", "city_name": "千葉市美浜区", "pref_code": "12", "pref_name": "千葉県", "population": 148944, "n_units": 52, "lat": 35.63391, "lon": 140.065478, "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": 3, "2019": 0, "2020": 0, "2021": 2, "2022": 0, "2023": 0, "2024": 0, "2025": 2 }, "unassigned_share_latest": 0.0 }, "車上ねらい": { "years": { "2018": 31, "2019": 29, "2020": 24, "2021": 21, "2022": 11, "2023": 39, "2024": 33, "2025": 14 }, "unassigned_share_latest": 0.0 }, "部品ねらい": { "years": { "2018": 26, "2019": 39, "2020": 18, "2021": 14, "2022": 25, "2023": 40, "2024": 30, "2025": 25 }, "unassigned_share_latest": 0.0 }, "自動販売機ねらい": { "years": { "2018": 2, "2019": 5, "2020": 6, "2021": 8, "2022": 3, "2023": 4, "2024": 1, "2025": 2 }, "unassigned_share_latest": 0.0 }, "自動車盗": { "years": { "2018": 3, "2019": 3, "2020": 5, "2021": 12, "2022": 7, "2023": 15, "2024": 15, "2025": 10 }, "unassigned_share_latest": 0.0 }, "オートバイ盗": { "years": { "2018": 17, "2019": 20, "2020": 12, "2021": 10, "2022": 19, "2023": 10, "2024": 20, "2025": 11 }, "unassigned_share_latest": 0.0 }, "自転車盗": { "years": { "2018": 418, "2019": 386, "2020": 288, "2021": 232, "2022": 267, "2023": 277, "2024": 328, "2025": 370 }, "unassigned_share_latest": 0.0081 } }, "accident_totals": { "years": { "2019": { "accidents": 347, "deaths": 4, "injured": 438, "person_vs_vehicle": 45, "vehicle_vs_vehicle": 297, "single_vehicle": 5, "pedestrian": 45, "bicycle": 109, "night": 127 }, "2020": { "accidents": 246, "deaths": 1, "injured": 299, "person_vs_vehicle": 39, "vehicle_vs_vehicle": 201, "single_vehicle": 6, "pedestrian": 39, "bicycle": 82, "night": 79 }, "2021": { "accidents": 337, "deaths": 3, "injured": 397, "person_vs_vehicle": 41, 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"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/12106//", "towns": [ { "unit_code": "12106001001", "name": "磯辺一丁目", "population": 1831, "crime": { "自転車盗": [ 0, 0.0, null, null, 0, null, null, null, null, 0 ], "車上ねらい": [ 0, 0.0, null, null, 0, null, null, null, null, 0 ], "部品ねらい": [ 1, 5.5, 9, 4, 0, null, null, null, null, 0 ] }, "accidents_latest": 7, "accidents_total": 22 }, { "unit_code": "12106001002", "name": "磯辺二丁目", "population": 846, "crime": { "オートバイ盗": [ 0, 0.0, null, null, 0, null, null, null, null, 0 ], "自転車盗": [ 1, 11.8, 34, 14, 0, null, null, null, null, 0 ], "車上ねらい": [ 0, 0.0, null, null, 0, null, null, null, null, 0 ] }, "accidents_latest": 5, "accidents_total": 29 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