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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.
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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Developer portal to access services and documentation for the Census Bureau's APIs.
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How we provide the best mix of timeliness, relevancy, quality, and cost for the data we collect.
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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During the past ten years, in an effort to improve data quality, there has been an increase in the use of questionnaire pretesting, prior to implementation. Various questionnaire evaluation techniques have been evaluated and the associated strengths and weaknesses have been identified (DeMaio et al, 1993; Esposito et al, 1992; Oksenberg et al, 1991; Presser and Blair, 1994). Some limited research has been conducted about the effectiveness of cognitive interviews in actually reducing questionnaire problems (Willis, 1996, Lessler et al, 1989). The objective of our research is to determine how well various question pretesting methods predict the types of problems that will actually be experienced in the field and to what extent the laboratory testing contributes to improved questions. In this research, multiple researchers in three research organizations conducted expert reviews, cognitive appraisals, and cognitive interviews on three survey instruments. A classification scheme was developed to code problems identified through all three methods. The questions identified as the most problematic were revised. Both the original and the revised questions were tested in an omnibus CATI/RDD survey conducted by the U.S. Census Bureau. Analysis of the field results are being evaluated using independent outcome quality measures. Comparing the results from pretesting with the results of the field study will determine how well the various pretesting methods identified the types of problems which surfaced during field testing. Comparing the results of the independent outcome quality measures from the field study for both the original and revised question wordings will tell us whether the revised question wording actually improved data quality.