Dataset 1203

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Facts

NOTES: .
Metadata
  • Title:
  • Publisher:
  • Description:
  • Keywords:
  • Homepage:
  • Source:
  • Parent Dataset:
RDF data
  • number of triples:
  • number of entries:
  • RDF Raw Data:
  • Linked Data Starting Point:
  • SPARQL Endpoint:
Links
  • Demos:
Facts about Dataset 1203RDF feed
92/agencyDepartment of Veterans Affairs  +
92/agency program pagehttp://www.va.gov/vetdata/  +
92/applicable agency information quality guideline designationVA
92/categoryNational Security and Veterans Affairs  +
92/citationHttp://www.va.gov/vetdata/docs/Datagov/DataGov GDX FY06 Technical Notes.doc  +
92/csv txt access pointhttp://www.va.gov/vetdata/docs/Datagov/DataGov_VetPop_State_County_Projections.csv  +
92/csv txt file size21,548K  +
92/data collection instrumenthttp://www.va.gov/vetdata/docs/Datagov/DataGov_GDX_FY06_Technical_Notes.doc
92/data dictionary variable listhttp://www.va.gov/vetdata/docs/Datagov/DataGov_GDX_FY06_Technical_Notes.doc  +
92/data gov data category typeRaw Data Catalog  +
92/data quality certificationYes  +
92/date released30-Sep-2006  +
92/descriptionVetPop2007 is VA's latest official estimat VetPop2007 is VA's latest official estimate and projection of the veteran population and their characteristics from 4/1/2000 to 9/30/2036, projected as of 9/30/2006. This dataset contains the estimate and projection at the county level by gender and 4 year age group. There is one record for each unique combination of county, gender and age group with the corresponding number of veterans estimated or projected for each of the years from 4/1/2000 to 9/30/2036. h of the years from 4/1/2000 to 9/30/2036.
92/frequencybi-annually  +
92/geographic coverageUnited States + Puerto Rico
92/granularityCounty  +
92/keywordsVeteran, Population
92/privacy and confidentialityYes  +
92/specialized data category designationAdministrative
92/technical documentationhttp://www.va.gov/vetdata/docs/Datagov/DataGov_GDX_FY06_Technical_Notes.doc
92/time periodFY00-FY36
92/titleVeterans Affairs Veteran Population Model - County Level Estimates and Projections  +
92/unique id1203  +
92/unit of analysisState and County
92/urlhttp://www.data.gov/details/1203  +
Datagov id1203  +
Dc:identifierdgtwc1203  +
Dcterms:identifierdgtwc1203, and datagov1203
Dcterms:relationURLSHA1/274aec680cf1e948ae5db73eed5c11e4ae5b6767  +
Dcterms:sourcehttp://data-gov.tw.rpi.edu/raw/92/data-92.rdf#entry1203  +
Dgtwc:complete datahttp://data-gov.tw.rpi.edu/raw/1203/data-1203.nt.gz  +
Dgtwc:link dataHttp://data-gov.tw.rpi.edu/raw/1203/link00001.rdf  +
Dgtwc:linked data entry pointhttp://data-gov.tw.rpi.edu/vocab/Dataset_1203  +
Dgtwc:number of entries65,536  +
Dgtwc:number of properties37  +
Dgtwc:number of triples2,491,369  +
Dgtwc:uses property1202/num9 30 2007  +, 1202/age group  +, 1202/state  +, 1202/num9 30 2026  +, 1202/num9 30 2005  +, 1202/num9 30 2024  +, 1202/num9 30 2003  +, 1202/num9 30 2030  +, 1202/num9 30 2019  +, 1202/num9 30 2022  +, 1202/num9 30 2001  +, 1202/num9 30 2017  +, 1202/county  +, 1202/num4 1 2000  +, 1202/num9 30 2015  +, 1202/num9 30 2029  +, 1202/num9 30 2013  +, 1202/num9 30 2021  +, 1202/num9 30 2027  +, 1202/num9 30 2011  +, 1202/num9 30 2025  +, 1202/num9 30 2023  +, 1202/num9 30 2018  +, 1202/gender  +, 1202/num9 30 2016  +, 1202/num9 30 2014  +, 1202/num9 30 2012  +, 1202/num9 30 2010  +, 1202/num9 30 2008  +, 1202/num9 30 2006  +, 1202/fips  +, 1202/num9 30 2004  +, 1202/num9 30 2002  +, 1202/num9 30 2000  +, 1202/num9 30 2009  +, 1202/num9 30 2020  +, and 1202/num9 30 2028  +
Dgtwc id1203  +
Rdfs:seeAlsoHttp://data-gov.tw.rpi.edu/raw/1203/index.rdf  +
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