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Bureau of Census – Definition

Bureau of Census Definition

The Bureau of Census is a principal division of the Department of Commerce primarily responsible for conducting the U.S. Census every ten years. The bureau is also known as the United States Census Bureau helps the government and businesses make informed decisions related to the bureau’s data.

A Little More on What is the Bureau of Census

The bureau stores data that over the years has been used by policymakers to govern the country and also make good economic decisions. The Bureau of Census stores information on the balance of trade, foreign import, and export. This data is available to the government and the public. For example, economic and foreign trade indicators released by the federal government contain data produced by the Census Bureau.

The Census

The first census was in 1970 conducted by marshals on horseback. They recorded that 3,929,214 lived in the U.S, with three states being the most populous: Virginia (747,610), Pennsylvania (434,373), North Carolina (393,751). A decennial census dominated the nineteenth century.

The bureau noted that the decennial census had collected information on hundreds of topics by the turn of the century. Processing all these data kept the temporary Census office open for almost a  decade following the 1880 and 1890 census respectively. In respect to this, the US Congress enacted the legislation to create a permanent census office within the Department of Interior on March 6, 1902. William Rush Merriam was director of the Census Bureau when it became a permanent agency within the Department of the Interior in 1902.

In 1903, the Census Office became a part of the Department of Commerce and labor. Following the division of the department into an independent department, the bureau is associated with Commerce.

The Bureau conducts surveys of two types: Demographic and Economic surveys. Demographic surveys revolve around the decennial census of population, the American Community Survey, the current population, income and program participation, housing survey, etc.

The economic survey revolves around the economy ranging from business, production, construction, finances, insurance, real estate to foreign trade. It also involves the collection of Internal Revenue Service data about households and businesses.

Reference for “Bureau of Census”

https://en.wikipedia.org/wiki/United_States_Census_Bureau

www.businessdictionary.com/definition/Census-Bureau.html

https://www.investopedia.com › Insights › Politics & Money

https://www.census.gov/

https://www.commerce.gov/doc/us-census-bureau?page=5

Academics research on “Bureau of Census”

Estimating the response variance components of the US Bureau of the Census‘ survey model, Bailar, B. A., & Dalenius, T. (1969). Estimating the response variance components of the US Bureau of the Census’ survey model. Sankhyā: The Indian Journal of Statistics, Series B, 341-360.

Color statistical mapping by the US Bureau of the Census, Meyer, M. A., Broome, F. R., & Schweitzer Jr, R. H. (1975). Color statistical mapping by the US Bureau of the Census. The American Cartographer2(2), 101-117. In recent years the U.S. Bureau of the Census has produced a number of thematic maps in color. These maps, appearing in various publication series, utilize predominantly the choropleth method. A variation in the use of this method is the two-variable “cross” map on which the distributions are mixed to represent category combinations. An important technological development that has enabled the production of color maps, specifically those in the Urban A1lases, has been the use of computer output on microfilm.

Illusion and Reality in the Measurement of Poverty, Beeghley, L. (1984). Illusion and Reality in the Measurement of Poverty. Social Problems31(3), 322-333. This paper analyzes the argument that in-kind public assistance benefits reduce the level of poverty. I show that the poverty line in the United States is a subjective and nonscientific attempt to count the number of poor people. Then I demonstrate that the poverty line is an absolute and realistic measure of improverishment. Against this backdrop, I evaluate the poverty reduction literature and show that it (1) misunderstands the nature of public assistance; (2) counts income twice; (3) produces unrealistic and illogical results; and (4) uses two different definitions of income.

Census Bureau guideline for the translation of data collection instruments and supporting materials: Documentation on how the guideline was developed, Pan, Y., & de La Puente, M. (2005). Census Bureau guideline for the translation of data collection instruments and supporting materials: Documentation on how the guideline was developed. Survey Methodology6. The Census Bureau developed guidelines for the translation of data collection instruments and supporting materials in order to ensure that such documents translated from a source language into a target language are reliable, complete, accurate, and culturally appropriate. In addition to meeting these criteria, guidelines were developed to ensure that translated Census Bureau data collection instruments also have semantic, conceptual, and normative equivalence. The guideline recommends that the translation of data collection instruments from a source language into a target language be conducted using a translation team. The guideline relies on the cross-cultural and survey methodology research literature and specifies and describes five steps that comprise the translation process. These steps are: Prepare, Translate, Pretest, Revise, and Document.

Bureau of the Census, Patterns, C. B. (1985). Bureau of the Census. US Department of.

Estimating measurement error in SIPP annual job earnings: a comparison of Census Bureau survey and SSA administrative data, Abowd, J. M., & Harrison Stinson, M. (2011). Estimating measurement error in SIPP annual job earnings: a comparison of Census Bureau survey and SSA administrative data. US Census Bureau Center for Economic Studies Paper No. CES-WP-11-20. We quantify sources of variation in annual job earnings data collected by the Survey of Income and Program Participation (SIPP) to determine how much of the variation is the result of measurement error. Jobs reported in the SIPP are linked to jobs reported in an administrative database, the Detailed Earnings Records (DER) drawn from the Social Security Administration’s Master Earnings File, a universe file of all earnings reported on W-2 tax forms. As a result of the match, each job potentially has two earnings observations per year: survey and administrative. Unlike previous validation studies, both of these earnings measures are viewed as noisy measures of some underlying true amount of annual earnings. While the existence of survey error resulting from respondent mistakes or misinterpretation is widely accepted, the idea that administrative data are also error-prone is new. Possible sources of employer reporting error, employee under-reporting of compensation such as tips, and general differences between how earnings may be reported on tax forms and in surveys, necessitates the discarding of the assumption that administrative data are a true measure of the quantity that the survey was designed to collect. In addition, errors in matching SIPP and DER jobs, a necessary task in any use of administrative data, also contribute to measurement error in both earnings variables. We begin by comparing SIPP and DER earnings for different demographic and education groups of SIPP respondents. We also calculate different measures of changes in earnings for individuals switching jobs. We estimate a standard earnings equation model using SIPP and DER earnings and compare the resulting coefficients. Finally exploiting the presence of individuals with multiple jobs and shared employers over time, we estimate an econometric model that includes random person and firm effects, a common error component shared by SIPP and DER earnings, and two independent error components that represent the variation unique to each earnings measure. We compare the variance components from this model and consider how the DER and SIPP differ across unobservable components.

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