<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#">
    <dcat:Catalog>
        <dcat:dataset>
            <dcat:Dataset>
                <dct:description xml:lang="kr">경찰청이 제공하는 2020년 전국 범죄 발생 및 검거 현황 통계에 따르면, 서울, 경기남부, 부산 지역이 전체 범죄 발생 건수와 검거 인원에서 가장 큰 비중을 차지하며 대도시 집중 현상이 뚜렷하게 나타났습니다. 이는 높은 인구 밀집도와 경제 활동 규모에 비례하는 결과로 해석됩니다.<br/><br/>특히 지능범죄, 절도, 폭력 등 주요 범죄 유형에서 이들 지역의 발생 건수가 두드러지며, 서울이 총 발생 건수 30만 건 이상으로 전국 최다를 기록했습니다. 반면, 강원, 충북, 전북 등은 상대적으로 낮은 총 발생 건수를 보였으나, 세부적으로는 강력범죄(살인, 강도) 등 일부 특정 유형에서 지역별 편차가 관찰되었습니다. 전반적으로 모든 시도에서 높은 검거율을 기록하고 있으나, 지역 특성에 따른 맞춤형 치안 대응 전략이 지속적으로 요구됨을 시사합니다.</dct:description>
                <dct:description xml:lang="en">According to the 2020 nationwide crime and arrest statistics provided by the National Police Agency, Seoul, southern Gyeonggi Province, and Busan accounted for the largest proportion of total crimes and arrests, demonstrating a clear concentration of crimes in metropolitan areas. This is interpreted as a result of their high population density and the scale of economic activity. In particular, major crime types such as intellectual crimes, theft, and violence were significantly more prevalent in these regions, with Seoul recording the highest total of over 300,000 cases nationwide. In contrast, Gangwon Province, North Chungcheong Province, and North Jeolla Province recorded relatively low total crime rates. However, regional differences were observed in some specific crime types, such as murder and robbery. While all cities and provinces recorded high arrest rates overall, this suggests the continued need for customized security response strategies tailored to regional characteristics.</dct:description>
                <dct:title xml:lang="kr">경찰청_전국 범죄 발생 및 검거 현황</dct:title>
                <dct:title xml:lang="en">National Police Agency_Crime occurrence and arrest status (nationwide)</dct:title>
                <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2025-12-11</dct:issued>
                <dct:modified rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2025-12-11</dct:modified>
                <dct:publisher>
                    <foaf:Organization>
                        <foaf:name>경찰청</foaf:name>
                        
                    </foaf:Organization>
                </dct:publisher>
                <dcat:contactPoint>
                    <vcard:Organization>
                        <vcard:organization-unit>수사기획조정관 수사심사정책담당관실</vcard:organization-unit>
                        <vcard:hasTelephone rdf:resource="02-3150-0132"/>
                    </vcard:Organization>
                </dcat:contactPoint>
                <dct:conformsTo ></dct:conformsTo>
                <dcat:theme>공공질서및안전 - 경찰</dcat:theme>
                <dcat:keyword xml:lang="kr">범죄발생및검거,경찰,범죄대분류,발생,검거,검거인원,법인체,범죄유형별분석</dcat:keyword>
                <dcat:keyword xml:lang="en">Crime occurrence and arrest,police,Crime classification,generation,Arrest,Number of arrests,corporate body,Analysis by crime type</dcat:keyword>
                <dct:rights>이용허락범위 제한 없음</dct:rights>
                <dct:accrualPeriodicity>연간</dct:accrualPeriodicity>
                
                <dcat:landingPage rdf:resource="https://www.data.go.kr/data/15064217/fileData.do"/>
                <dcat:distribution>
                    <dcat:Distribution>
                        <dct:accessURL ></dct:accessURL>
                        <dcat:description></dcat:description>
                        <dcat:format>csv</dcat:format>
                        <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2025-12-11</dct:issued>
                        <dcat:title>경찰청_전국 범죄 발생 및 검거 현황_20241231</dcat:title>
                    </dcat:Distribution>
                </dcat:distribution>
                <dct:spatial></dct:spatial>
                <dct:temporal></dct:temporal>
            </dcat:Dataset>
        </dcat:dataset>

        
    </dcat:Catalog>
</rdf:RDF>