Census 2000 Margin Of Error
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Census Acs Margin Of Error
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Census Margin Of Error
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Use Migration/Geographic Mobility Population Estimates Population Projections Race Veterans The U.S. Census Bureau is the official source of statistical data tracking the national economy. Economy Main Economy Videos News Classification Codes (i.e., NAICS) Economic Census Economic Indicators Economic Studies Industry Statistics Portal Other Economic Programs Business is a large part a compass for understanding and using acs data of America's diverse economy. This section provides key information about businesses in your community. Business Main Business Videos News Business Characteristics Classification Codes (i.e., NAICS) Construction Get Help with Your Form Manufacturing Mining Retail Trade Services Wholesale Trade This section provides information on a range of educational topics, from educational attainment and school enrollment to school districts, costs and financing. Education Main About Data Education Videos News Publications Related Sites Surveys/Programs Visualizations Educational Attainment Educational Services Public School System Finances School Districts School Enrollment Teaching about Statistics Emergency Preparedness Employment Families & Living Arrangements Health We measure the state of the nation's workforce, including employment and unemployment levels, weeks and hours worked, occupations, and commuting. Employment Main About Data News Publications Related Sites Surveys/Programs Visualizations Working Papers Commuting (Journey to Work) County Business Patterns (CBP) Disability Employment Tabulation Employers: Public Sector Equal Employment Opportunity T
All Pubs Browse All Pubs Pubs by Country Browse PSC Reports PSC Report Series News & Events Connect with PSC Brown Bags PSC in the News acs compass Honors & Awards Features Media Contacts Training Overview Predoctoral Postdoctoral International acs coefficient of variation Courses Faculty Jobs Placements On Job Market Small Funds Freedman Hermalin Mueller Weinberg Alumni Award PSC Initiatives american factfinder Data Overview Restricted Data Census ACS Geography Search Info Services NIH Publication Reporting Literature & Bibliography Grants & Publishing About Center Overview Giving Director's Message Ways to Give Alumni https://www.census.gov/support/USACdataMOE.html Fund Freedman Fund Hermalin Fund Mueller Fund Weinberg Fund PSC at 50 U-M Affiliations Employment Directions Home > Data Services > Catalog . Restricted Data . Census . ACS Search Data Services Meta Searchsearch across all the following databases: Data CatalogData and documentation KnowledgeBaseCommon questions and answers. ResourcesEntire collection of data resources. Latest Data News ICPSR Data http://www.psc.isr.umich.edu/dis/acs/aggregator/ Fair 2016: Navigating the Data (R)Evolution Mapping the Spread of Obesity Data Mining and Predictors of Physical Activity in Older Urban Adults IRS Migration Data Report Tool Census Bureau Retires Easy Stats Data Quality Issues with the American Community Survey (ACS) The American Community Survey is a replacement for the census long-form. One major difference between the census long-form and the ACS data is that ACS data are released on an annual basis rather than once every 10 years. This means that users get fresh socioeconomic data every year, including for small geographies like census tracts. The data for geographic units of less than 65,000 are based on multi-year estimates. 1 However, there are some data quality issues with the ACS data. The ACS data are noisier than data from the census long-form. This means that users should be prepared to either collapse cells or combine geographies to improve data metrics. The PSC ACS Aggregator Tool can help with these procedures. Background The census long-form data is sample data
Health Search databasePMCAll DatabasesAssemblyBioProjectBioSampleBioSystemsBooksClinVarCloneConserved DomainsdbGaPdbVarESTGeneGenomeGEO DataSetsGEO ProfilesGSSGTRHomoloGeneMedGenMeSHNCBI Web SiteNLM CatalogNucleotideOMIMPMCPopSetProbeProteinProtein ClustersPubChem BioAssayPubChem CompoundPubChem SubstancePubMedPubMed HealthSNPSRAStructureTaxonomyToolKitToolKitAllToolKitBookToolKitBookghUniGeneSearch termSearch Advanced Journal list Help Journal ListHHS Author ManuscriptsPMC4232960 Appl Geogr. Author manuscript; http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232960/ available in PMC 2014 Nov 15.Published in final edited form as:Appl Geogr. 2014 Jan; 46: 147–157. doi: 10.1016/j.apgeog.2013.11.002PMCID: PMC4232960NIHMSID: NIHMS599617Patterns and causes of uncertainty in the American Community SurveySeth E. Spielman,a,b David Folch,b and Nicholas NaglecaGeography Department, University of Colorado, 110 Guggenheim Hall, Box 260 UCB, Boulder, CO 80309, USAbInstitute of Behavioral Science, University of Colorado, 110 Guggenheim Hall, Box margin of 260 UCB, Boulder, CO 80309, USAcDepartment of Geography, University of Tennessee, USAAuthor information ► Copyright and License information ►Copyright notice and DisclaimerSee other articles in PMC that cite the published article.AbstractIn 2010 the American Community Survey (ACS) replaced the long form of the United States decennial census. The ACS is now the principal source of high-resolution geographic information about the U.S. margin of error population. The margins of error on ACS census tract-level data are on average 75 percent larger than those of the corresponding 2000 long-form estimate. The practical implications of this increase is that data are sometimes so imprecise that they are difficult to use. This paper explains why the ACS tract and block group estimates have large margins of error. Statistical concepts are explained in plain English. ACS margins of error are attributed to specific methodological decisions made by the Census Bureau. These decisions are best seen as compromises that attempt to balance financial constraints against concerns about data quality, timeliness, and geographic precision. In addition, demographic and geographic patterns in ACS data quality are identified. These patterns are associated with demographic composition of census tracts. Understanding the fundamental causes of uncertainty in the survey suggests a number of geographic strategies for improving the usability and quality ACS.Keywords: American Community Survey, Census Tract, Small Area Estimation, Margin of Error, UncertaintyIntroductionIn 2010 the American Community Survey (ACS) replaced the long form of the United States decennial census as the principal so