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Our population statistics cover age, sex, race, Hispanic origin, migration, ancestry, language use, veterans, as well as population estimates and projections.
This section provides information on a range of educational topics, from educational attainment and school enrollment to school districts, costs and financing.
We measure the state of the nations workforce, including employment and unemployment levels, weeks and hours worked, occupations, and commuting.
Our statistics highlight trends in household and family composition, describe characteristics of the residents of housing units, and show how they are related.
Health statistics on insurance coverage, disability, fertility and other health issues are increasingly important in measuring the nation's overall well-being.
We measure the housing and construction industry, track homeownership rates, and produce statistics on the physical and financial characteristics of our homes.
The U.S. Census Bureau is the official source for U.S. export and import statistics and regulations governing the reporting of exports from the U.S.
The U.S. Census Bureau provides data for the Federal, state and local governments as well as voting, redistricting, apportionment and congressional affairs.
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Geography provides the framework for Census Bureau survey design, sample selection, data collection, tabulation, and dissemination.
Geography is central to the work of the Bureau, providing the framework for survey design, sample selection, data collection, tabulation, and dissemination.
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The Geographic Support System Initiative will integrate improved address coverage, spatial feature updates, and enhanced quality assessment and measurement.
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Metropolitan and micropolitan areas are geographic entities used by Federal statistical agencies in collecting, tabulating, and publishing Federal statistics.
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Definitions of geographic terms, why geographic areas are defined, and how the Census Bureau defines geographic areas.
We conduct research on geographic topics such as how to define geographic areas and how geography changes over time.
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Our researchers explore innovative ways to conduct surveys, increase respondent participation, reduce costs, and improve accuracy.
Our surveys provide periodic and comprehensive statistics about the nation, critical for government programs, policies, and decisionmaking.
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The Census Bureau's Director writes on how we measure America's people, places and economy.
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SAHIE continually evaluates its methods and investigates other potential data sources for each release. For these reasons, we revise and improve our methodology with each successive release, as time and resources allow. For a description of the methodology used to create each year of data, refer to the information below. Note that caution should be used when making comparisons across geographies or from year to year. See this FAQ for more guidance.
For 2008-2012, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of:
In addition, estimates for age category 0-18 by the income categories listed above are published.
Each year’s estimates are adjusted so that before rounding the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured.
For 2005-2007, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of:
In addition, estimates for age category 0-18 in the 0-200% IPR income category are published.
Each year's estimates are benchmarked to the national CPS ASEC corresponding to the income year of the estimates. For example, the 2007 SAHIE estimates are adjusted so that before rounding the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national 2008 CPS ASEC (which contains questions about income during calendar year 2007) numbers insured and uninsured.
For 2001, SAHIE publishes experimental STATE estimates of the female population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of:
Estimates are adjusted so that, before rounding, state numbers sum to the national 2002 CPS ASEC (which contains questions about income during calendar year 2001) poverty universe.
Our age model creates state and county estimates of population with and without health insurance coverage by age. Modeling is done at the county level and state estimates are created as aggregates of the county ones. The estimates are adjusted so that, before rounding, county estimates sum to their respective state estimates and ,for key demographics, state estimates sum to the national 2001 CPS ASEC (which contains questions about income during calendar year 2000) civilian, non-institutional estimates. For 2000, SAHIE publishes state and county estimates of the number of people with and without health insurance coverage, along with measures of uncertainty, for children under 18 and the total population.
This section describes the data used to produce SAHIE estimates. It discusses the sources of each dataset, key concepts, and any adjustments made to the data.
The data provided are indirect estimates produced by statistical model-based methods using sample survey, decennial census, and administrative data sources. To maintain confidentiality, the Census Bureau uses procedures to assure that the estimates and related information that are released cannot be used to disclose individual data or violate other confidentiality restrictions applicable to the source data.
The Small Area Health Insurance Estimates (SAHIE) program's methodology and experimental estimates have undergone internal U.S. Census Bureau review as well as external review.