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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.
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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.
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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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|C||Without contacting the respondent, the analyst corrects data provided in an inappropriate item code or individual unit, corrects data so detail adds to total, corrects other reported minor reporting errors that prevents the use of the original data provided by the respondent.|
1) Data item is reported directly by the respondent.
2) Respondent does not complete the survey form, but provides additional information which is compiled and used to complete the form, i.e., annual report, Website, etc.
|T||Respondent reports totals and these data are prorated based on the prior year distribution.|
|U||Analyst obtains correct data from the respondent via telephone, e-mail, or fax.|
|V||1) Analyst verifies the data with the respondent via telephone, e-mail, or fax.
2) Analyst corrects improperly keyed data and replaces with the reported values from the questionnaire.
|A||Missing or inappropriate data fixed by computer calculations are based on prior year factors or prior year state averages.|
|B||Analyst obtains information from a report or other administrative source without prior respondent contact and there exists documentation verifying that these data sources are comparable to reported data.|
|D||Analyst obtains information from a Website without prior respondent contact and there exists documentation verifying that these data sources are comparable to reported data.|
|G||The prior year data were adjusted by a growth rate that was determined by the growth of responding units that were similar to the nonrespondent in size, geography and type of government.|
|I||For Regional Occupational Programs (ROP) units, zeroes were imputed since the prior year data consisted of all zeroes.|
|J||The unit contained partially reported data sufficient to determine unit totals at the total employee/total pay level. Data were imputed using pro-rated values based on prior year or cell median ratios. Flag J differs from Flag T in that Flag T implies that the unit total for that variable was reported, e.g., if full-time pay is reported, then full-time pay for each item code of that unit will receive a flag of T. While Flag J implies that the unit total for that variable was not reported, e.g., if total employees are reported, but neither full-time nor part-time employees are reported, then full-time employees will be pro--rated and full-time employees for each item code of that unit will receive a flag of J.|
|P||Data were from a donor that was randomly selected from units similar to the nonrespondent. A per capita adjustment based on population enrollment was made.|
|Q||A growth rate was applied to the prior year that carried a flag of P.|
|S||This flag is used for imputed values of part-time hours. Part-time hours are imputed as the value of the item code's part-time employees multiplied by the unit's average part-time hours per employee for the given item code in the prior year. If the given item code in the prior year is not available, then the median average part-time hours per employee for the given item code is used instead. The median is calculated for the current year data in the unit’s imputation cell.|
|Z||Data are the summation of multiple individual state agencies (i.e., state level data) or the summation of multiple data function codes (i.e., total data function code of "000").|
|X||The analyst creates a value missing entry, an erroneous reported entry, or an imputed value without contacting the respondent.|