{"data":{"id":"10.7807/microm:kinder:v1","type":"dois","attributes":{"doi":"10.7807/microm:kinder:v1","prefix":"10.7807","suffix":"microm:kinder:v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"RWI – Leibniz Institute for Economic Research","nameType":"Organizational","givenName":null,"familyName":null,"affiliation":[],"nameIdentifiers":[{"schemeUri":"https://ror.org","nameIdentifier":"https://ror.org/02pse8162","nameIdentifierScheme":"ROR"}]}],"titles":[{"lang":"de","title":"Sozioökonomische Daten auf Rasterebene (Welle 1). Kinder","titleType":null},{"lang":"en","title":"Socio-Economic Data on grid level (Wave 1). Children","titleType":null}],"publisher":"RWI – Leibniz Institute for Economic Research","container":{"type":"DataRepository","title":"RWI-GEO-GRID"},"publicationYear":2014,"subjects":[{"lang":"de","subject":"Kinder","subjectScheme":""},{"lang":"de","subject":"Rasterdaten","subjectScheme":""}],"contributors":[],"dates":[{"date":"2005","dateType":"Collected","dateInformation":null},{"date":"2009","dateType":"Collected","dateInformation":null},{"date":"2010","dateType":"Collected","dateInformation":null},{"date":"2014","dateType":"Issued","dateInformation":null}],"language":"de","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"schemeUri":null,"schemeType":null,"relationType":"IsSupplementedBy","relatedIdentifier":"10.7807/microm:pkwmarken:v1","resourceTypeGeneral":null,"relatedIdentifierType":"DOI","relatedMetadataScheme":null},{"schemeUri":null,"schemeType":null,"relationType":"IsSupplementedBy","relatedIdentifier":"10.7807/microm:pkwseg:v1","resourceTypeGeneral":null,"relatedIdentifierType":"DOI","relatedMetadataScheme":null},{"schemeUri":null,"schemeType":null,"relationType":"IsSupplementedBy","relatedIdentifier":"10.7807/microm:kaufkraft:v1","resourceTypeGeneral":null,"relatedIdentifierType":"DOI","relatedMetadataScheme":null},{"schemeUri":null,"schemeType":null,"relationType":"IsSupplementedBy","relatedIdentifier":"10.7807/microm:haustyp:v1","resourceTypeGeneral":null,"relatedIdentifierType":"DOI","relatedMetadataScheme":null},{"schemeUri":null,"schemeType":null,"relationType":"IsSupplementedBy","relatedIdentifier":"10.7807/microm:auslaender:v1","resourceTypeGeneral":null,"relatedIdentifierType":"DOI","relatedMetadataScheme":null},{"schemeUri":null,"schemeType":null,"relationType":"IsSupplementedBy","relatedIdentifier":"10.7807/microm:hstruktur:v1","resourceTypeGeneral":null,"relatedIdentifierType":"DOI","relatedMetadataScheme":null},{"schemeUri":null,"schemeType":null,"relationType":"IsSupplementedBy","relatedIdentifier":"10.7807/microm:alq:v1","resourceTypeGeneral":null,"relatedIdentifierType":"DOI","relatedMetadataScheme":null},{"schemeUri":null,"schemeType":null,"relationType":"IsSupplementedBy","relatedIdentifier":"10.7807/microm:einwohner:v1","resourceTypeGeneral":null,"relatedIdentifierType":"DOI","relatedMetadataScheme":null},{"schemeUri":null,"schemeType":null,"relationType":"IsSupplementedBy","relatedIdentifier":"10.7807/microm:ethno:v1","resourceTypeGeneral":null,"relatedIdentifierType":"DOI","relatedMetadataScheme":null},{"schemeUri":null,"schemeType":null,"relationType":"IsSupplementedBy","relatedIdentifier":"10.7807/microm:zahlindex:v1","resourceTypeGeneral":null,"relatedIdentifierType":"DOI","relatedMetadataScheme":null},{"schemeUri":null,"schemeType":null,"relationType":"IsContinuedBy","relatedIdentifier":"10.7807/microm:kinder:v2","resourceTypeGeneral":null,"relatedIdentifierType":"DOI","relatedMetadataScheme":null},{"schemeUri":null,"schemeType":null,"relationType":"IsOriginalFormOf","relatedIdentifier":"10.7807/microm:kinder:suf:v1","resourceTypeGeneral":null,"relatedIdentifierType":"DOI","relatedMetadataScheme":null},{"schemeUri":null,"schemeType":null,"relationType":"IsDocumentedBy","relatedIdentifier":null,"resourceTypeGeneral":"Text","relatedIdentifierType":"DOI","relatedMetadataScheme":null}],"relatedItems":[],"sizes":[],"formats":[],"version":"1","rightsList":[{"lang":"de","rights":"microm Micromarketing-Systeme und Consult GmbH"},{"lang":"en","rights":"microm Micromarketing-Systeme und Consult GmbH"}],"descriptions":[{"lang":"de","description":"Aus Felicitas, Adressen \u0026amp; Services GmbH und aus der Datei der\n Privatkonsumenten des Verbandes der Vereine Creditreform erhält microm die Daten für die\n Variable \"Kinder\". Die Variable weist den Anteil der Kinder an allen Personen in einem\n Privathaushalt aus (microm 2014, S. 81). Dabei handelt es sich hier um die\n durchschnittliche Anzahl der Kinder je Haushalt.","descriptionType":"Abstract"},{"lang":"de","description":"RWI-GEO-GRID","descriptionType":"SeriesInformation"},{"lang":"en","description":"RWI-GEO-GRID","descriptionType":"SeriesInformation"},{"lang":"de","description":"Die Bezugsgröße der microm Informationen ist, wenn nicht anders ausgewiesen,\n die Anzahl an Haushalten in der geographischen Einheit. Die Sachdaten werden jedoch\n nicht für die einzelnen Haushalte, sondern zunächst für die rund 19,7 Millionen Häuser\n in Deutschland berechnet (microm 2014, Seite 1). Da als Bezugsgröße definiert, dient\n dann die Anzahl an Haushalten in der Einheit als Gewichtungsfaktor. Aus\n datenschutzrechtlichen Gründen werden Häuser, die zu einem Wohnumfeld gehören, zu\n einem „virtuellen“ mikrogeografischen Segment (sog. Mikrozelle) gebündelt, das\n durchschnittlich acht, mindestens aber fünf Haushalte umfasst. Die berechneten\n Sachinformationen werden von der Hausebene auf die Ebene der Mikrozelle aggregiert und\n von dort auf die Hausebene zurückgeschrieben, sodass alle Häuser in einer Mikrozelle\n den gleichen Datenwert haben. Je nach Sachdatum wird die sozialräumliche Struktur der\n Merkmalsverteilung aus, für die BRD repräsentativen, externen Basisdaten modelliert\n und auf die microm Hausdatenbank angewandt. Wann immer amtliche Referenzdaten auf\n Aggregatebene zur Verfügung stehen, werden die berechneten Daten mit diesen\n abgeglichen (microm 2014, S. 2). Über eine von der microm erstellte Georeferenz \n werden die Sachdaten von der Hausebene in jede gewünschte geographische Ebene, hier\n das 1km Raster, hinein aggregiert. (microm/RWI)","descriptionType":"Methods"}],"geoLocations":[{"geoLocationPlace":"Germany"}],"fundingReferences":[],"xml":"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","url":"https://www.rwi-essen.de/forschung-beratung/weitere/forschungsdatenzentrum-ruhr/datenangebot/rwi-geo-grid-socio-economic-data-on-grid-level","contentUrl":[],"metadataVersion":18,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"fabricaForm","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":10,"citationCount":11,"citationsOverTime":[{"year":"2025","total":11}],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2014-10-27T10:29:20.000Z","registered":"2014-10-27T10:29:21.000Z","published":"2014","updated":"2025-09-24T13:26:08.000Z"},"relationships":{"client":{"data":{"id":"zbw.rwi","type":"clients"}},"provider":{"data":{"id":"jjuz","type":"providers"}},"media":{"data":{"id":"10.7807/microm:kinder:v1","type":"media"}},"references":{"data":[{"id":"10.7807/microm:pkwmarken:v1","type":"dois"},{"id":"10.7807/microm:pkwseg:v1","type":"dois"},{"id":"10.7807/microm:kaufkraft:v1","type":"dois"},{"id":"10.7807/microm:haustyp:v1","type":"dois"},{"id":"10.7807/microm:auslaender:v1","type":"dois"},{"id":"10.7807/microm:hstruktur:v1","type":"dois"},{"id":"10.7807/microm:alq:v1","type":"dois"},{"id":"10.7807/microm:einwohner:v1","type":"dois"},{"id":"10.7807/microm:ethno:v1","type":"dois"},{"id":"10.7807/microm:zahlindex:v1","type":"dois"}]},"citations":{"data":[{"id":"10.7807/microm:zahlindex:v1","type":"dois"},{"id":"10.7807/microm:ethno:v1","type":"dois"},{"id":"10.7807/microm:auslaender:v1","type":"dois"},{"id":"10.7807/microm:hstruktur:v1","type":"dois"},{"id":"10.7807/microm:einwohner:v1","type":"dois"},{"id":"10.7807/microm:haustyp:v1","type":"dois"},{"id":"10.7807/microm:alq:v1","type":"dois"},{"id":"10.7807/microm:pkwmarken:v1","type":"dois"},{"id":"10.7807/microm:pkwseg:v1","type":"dois"},{"id":"10.7807/microm:kaufkraft:v1","type":"dois"},{"id":"10.7807/microm:einwgeal:v1","type":"dois"}]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}