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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.
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Health statistics on insurance coverage, disability, fertility and other health issues are increasingly important in measuring the nation's overall well-being.
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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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Official audio files from the Census Bureau, including "Profile America," a daily series of bite-sized statistics, placing current data in a historical context.
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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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Explore the rich historical background of an organization with roots almost as old as the nation.
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The Census Bureau's Director writes on how we measure America's people, places and economy.
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Profile America is a daily, 60-second feature that uses interesting vignettes for that day to highlight information collected by the Census Bureau.
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Our use of the CPS ASEC implicitly assumes that the counties in the survey sample are representative of those not selected. The CPS was designed so that Primary Sampling Units (PSUs) are representative of their strata, primarily for unemployment, but the degree to which the CPS ASEC sample is representative for health insurance coverage is unknown. The characteristics of some counties guarantee they are included, e.g., most counties in large metropolitan areas and counties with large populations. More generally, while all counties have a nonzero probability of being included in the sample, some have higher probabilities than others. Further, the probability of selecting a county is related to its income and poverty level which, in turn, are related to the level of health insurance coverage. In the related Small Area Income and Poverty Estimates (SAIPE) program, comparison of regression equations based on census data for counties in the CPS ASEC sample and equations based on all counties indicates remarkably similar results, providing some assurance that the CPS ASEC counties are largely representative of all counties for poverty. Unfortunately, the analogous test is unavailable for health insurance coverage, since there are no health insurance questions on the decennial census.
The survey weights used in estimation at the national level are not appropriate for county-level estimates. The CPS ASEC sample design selects some PSUs (usually a county or group of counties) to represent a set of counties in the same stratum. The sum of the weights for sample households from such a county estimates the total population of the entire set of counties it represents. Because we want each county in the CPS ASEC sample to stand for itself, we have adjusted the weights to make the direct estimate for each county approximately unbiased.