The AIAN Summary File contains data on population characteristics, such as sex, age, average household size, household type, and relationship to householder. The American Indian and Alaska Native Summary File (AIANSF) contains data on population characteristics, such as sex, age, average household size, household type, and relationship to householder. The file also includes housing characteristics, such as tenure (whether a housing unit is owner-occupied or renter- occupied) and age of householder for occupied housing units. Selected aggregates and medians also are provided. A complete listing of subjects in the AIANSF is found in Chapter 3, Subject Locator. The layout of the tables in the AIANSF is similar to that in Summary File 2 (SF 2). These data are presented in 47 population tables (identified with a "PCT") and 14 housing tables (identified with an "HCT") shown down to the census tract level; and 10 population tables (identified with a "PCO") shown down to the county level, for a total of 71 tables. Each table is iterated for the total population, the total American Indian and Alaska Native population alone, the total American Indian and Alaska Native population alone or in combination, and 1,567 detailed tribes and tribal groupings. Tribes or tribal groupings are included on the iterations list if they met a threshold of at least 100 people in the 2010 Census. In addition, the presentation of AIANSF tables for any of the tribes and tribal groupings is subject to a population threshold of 100 or more people in a given geography. That is, if there are fewer than 100 people in a specific population group in a specific geographic area, their population and housing characteristics data are not available for that geographic area in the AIANSF. See Appendix H, Characteristic Iterations, for more information.

Release Date: 2020-07-23.Release Schedule:.The data in this file were released on July 23, 2020....Key Table Information:.Beginning with reference year 2007, ZBP data are released using the Noise disclosure methodology to protect confidentiality. See Survey Methodology for complete information on the coverage and methodology of the ZIP Code Business Patterns data series..Includes only establishments with payroll..Data by employment size class, shown at the 2-6 digit NAICS code levels only contains data on the number of establishments..Data shown for NAICS code 00 (Total for all sectors) contains data on the number of establishments, total employment, first quarter payroll, and annual payroll...Data Items and Other Identifying Records: .This file contains data classified by employment size category of the establishment .Number of establishments.Annual payroll ($1,000).First-quarter payroll ($1,000).Number of employees ..Geography Coverage:.The data are shown at the 5-digit ZIP Code level only. ..Industry Coverage:.The data are shown at the 2- through 6- digit NAICS code levels for all sectors with published data, and for NAICS code 00 (Total for all sectors)..Footnotes:.Not applicable..FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/cbp/data/2018/CB1800ZBP.zip ..API Information:.ZIP Codes Business Patterns (ZBP) data are housed in the ZIP Codes Business Patterns (ZBP) API. For more information, see Census.gov: Developers: Available APIs, County Business Patterns and Nonemployer Statistics (1986-2018): ZIP Codes Business Patterns (ZBP) APIs...Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. ..To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, see. County Business Patterns Methodology. ..Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals (used prior to 2017).N - Not available or not comparable.S - Withheld because estimate did not meet publication standards. Employment or payroll field set to zero. .G - Low Noise.H - Moderate Noise.J - High Noise.For a complete list of symbols, see County Business Partterns Abbreviations and Symbols Glossary...Source:.U.S. Census Bureau, 2018 ZIP Business Patterns..Contact Information:.U.S. Census Bureau.Economy-Wide Statistics Division.Business Statistics Branch.Tel: (301) 763 - 2580 .Email: ewd.county.business.patterns@census.gov

This dataset presents statistics for Finance and Insurance: Administrative Expenses and Benefits Paid for Life, Health, and Medical Insurance Carriers for the U.S.

Note: For information on data collection, confidentiality protection, nonsampling error, subject definitions, and guidance on using the data, visit the 2020 Census Demographic and Housing Characteristics File (DHC) Technical Documentation webpage..To protect respondent confidentiality, data have undergone disclosure avoidance methods which add "statistical noise" - small, random additions or subtractions - to the data so that no one can reliably link the published data to a specific person or household. The Census Bureau encourages data users to aggregate small populations and geographies to improve accuracy and diminish implausible results..A household that has at least one member of the household related to the householder by birth, marriage, or adoption is a "Family household." "Nonfamily households" consist of people living alone and households which do not have any members related to the householder..Source: U.S. Census Bureau, 2020 Census Demographic and Housing Characteristics File (DHC)

Designed to facilitate analysis of the status of Blacks around the turn of the century, this oversample of Black-headed households in the United States was drawn from the 1910 manuscript census schedules. The sample complements the 1/250 Public Use Sample of the 1910 census manuscripts collected by Samuel H. Preston at the University of Pennsylvania: CENSUS OF POPULATION, 1910 [UNITED STATES]: PUBLIC USE SAMPLE (ICPSR 9166). Part 1, Household Records, contains a record for each household selected in the sample and supplies variables describing the location, type, and composition of the households. Part 2, Individual Records, contains a record for each individual residing in the sampled households and includes information on demographic characteristics, occupation, literacy, nativity, ethnicity, and fertility.

ABS Census data extract - G01 SELECTED PERSON CHARACTERISTICS BY SEX providing a breakdown of population at Suburb level and by:age groupsaboriginal and/or Torres Strait Islander persons (a)birthplace (b) and (c)language used at home (d)age of persons attending an education institution (e)highest year of school completed (f)count of persons in occupied private dwellings (g)Count of persons in other dwellings (g) (h)This data is based on place of usual residence unless otherwise stated.(a) Applicable to persons who are of both Aboriginal and Torres Strait Islander origin.(b) Includes 'Australia', 'Australia (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec'.(c) Includes 'Inadequately described', and 'At sea'. Excludes not stated.(d) Includes 'Inadequately described' and 'Non-verbal, so described'. Excludes not stated.(e) Comprises 'Preschool', 'Primary' (including Government, Catholic, Other non-Government, Primary not further defined), 'Secondary' (including Government, Catholic, Other non-Government, Secondary not further defined) and 'Tertiary' (including vocational education (including TAFE and private training providers), university or other higher education, Tertiary not further defined). Excludes persons who did not state which type of education institution they were attending.(f) Applicable to persons aged 15 years and over.(g) Data is based on place of enumeration. Excludes overseas visitors.(h) Includes 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings' and 'Migratory, off-shore and shipping' SA1s.Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.

1850 Agricultural Production in Pennsylvania Created with data compiled from 1850 U.S. Census, Schedule 4 & shapefile from Atlas of Historical County Boundaries. Methodology: http://bit.ly/2n8qHXO

This dataset contains Iowa households with and without adults 65 years and over by household type for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B11007.

Household type includes All Households Types, 1 Person Household, 2 or More Person Households, 2 or More Person Family Households, and 2 or More Person Nonfamily Households.

A family household is a household maintained by a householder who is in a family. A family group is defined as any two or more people residing together, and related by birth, marriage, or adoption.

The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

These data were originally collected by the Censuses of Population for England and Wales, and for Scotland. They were computerised by the Great Britain Historical GIS Project and its collaborators.

In 1961, the Census of Population gathered data on housing tenure as well as density and amenities. The data in this study summarise the resulting tabulations, providing counts of numbers of households in each tenure type for all districts in Great Britain; the original tabulations also give counts by numbers of persons, and for some districts include cross-tabulations against numbers of rooms.

How many households are in the U.S.?

In 2023, there were 131.43 million households in the United States. This is a significant increase from 1960, when there were 52.8 million households in the U.S.

What counts as a household?

According to the U.S. Census Bureau, a household is considered to be all persons living within one housing unit. This includes apartments, houses, or single rooms, and consists of both related and unrelated people living together. For example, two roommates who share a living space but are not related would be considered a household in the eyes of the Census. It should be noted that group living quarters, such as college dorms, are not counted as households in the Census.

Household changes

While the population of the United States has been increasing, the average size of households in the U.S. has decreased since 1960. In 1960, there was an average of 3.33 people per household, but in 2023, this figure had decreased to 2.51 people per household. Additionally, two person households make up the majority of American households, followed closely by single-person households.

Projected Deaths by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2014-2060 // Source: U.S. Census Bureau, Population Division // Note: Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. // For detailed information about the methods used to create the population projections, see https://www.census.gov/population/projections/methodology. // The population projections for the United States are produced by the Census Bureau's Population Estimates and Projections Program. Population projections are estimates of the population for future dates. They are typically based on an estimated population consistent with the most recent decennial census and are produced using the cohort-component method. Projections illustrate possible courses of population change based on assumptions about future births, deaths, net international migration, and domestic migration. The Population Estimates and Projections Program provides additional information on its website: https://www.census.gov/population/projections.

Chemical concentration, exposure, and health risk data for U.S. census tracts from National Scale Air Toxics Assessment (NATA).

This dataset is associated with the following publication: Huang, H., R. Tornero-Velez, and T. Barzyk. Associations between socio-demographic characteristics and chemical concentrations contributing to cumulative exposures in the United States. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 27(6): 544-550, (2017).

The data comprising the Puerto Rico Census Project, 1910 contain individual and household records drawn from the 1910 Puerto Rican Population Census. The data include variables containing basic demographic information such as age, sex, race, marital status, number of children born and surviving, family size, place of birth, immigration status, county and neighborhood of residence, urban/rural status, and citizenship. The data also describe language proficiency, literacy, school attendance, and disabilities (blind or deaf) of the individuals. Other variables provide data on occupation, industry, ownership of residence, status of mortgage, and farm ownership. There are four classifications of variables belonging to this dataset: original input variables, coded variables, constructed variables, and quality flag variables. The original input variables contain the raw data collected by the enumerators. The coded variables are variables that were recoded by the University of Wisconsin Survey Center (UWSC) as part of the Puerto Rico Census Project. Constructed variables were produced by UWSC to capture additional relevant information. For example, one constructed variable measures literacy by combining separate variables containing data on whether the individual could read and if they could write. Finally, quality flag variables were created by UWSC to indicate whether it could be logically deduced that individual records had been hand edited by the Census Office.

Abstract

The main objectives of a census are: - to provide current information on demographic and related socio-economic characteristics of the population at national and sub-national levels. Such information facilitates effective planning and evaluation of development programmes; - to provide and maintain a time series of demographic data at national and sub-national levels. These data enhance appraisal of the past, assessment of the present and estimation of future trends; - to develop the national capabilities to produce, coordinate and disseminate relevant, accurate and timely statistics to meet the information needs of various users; - to improve the capability to advise other users and producers of statistics; and - to develop and maintain an efficient sampling frame for surveys.

Geographic coverage

The geographical frame for the 2012 Census followed the spatially defined structure of provinces, administrative districts and wards. In an effort to ensure that the whole country was covered during the enumeration period, the whole country was demarcated into small areas known as enumeration areas (EAs). Each one of these EAs was covered by one enumerator. The identified boundaries of the EAs were such that they did not cut across existing provincial, district, or ward boundaries.

There were also special population categories which, by definition, did not belong to any defined area, or for some reason, required special arrangements in order to be enumerated. The special population categories included among others, the homeless, vagrants, persons who were travelling on trains or buses on the census night, persons in camping sites, prisons, hotels and in other unstable population situations.

Universe

A population census can be taken either on a de facto or de jure basis. The latter involves enumerating people at their place of usual residence. The 2012 census however, was conducted on a de facto basis, relating to the night of the17th of August. This means that all those people who spent the night of the 17th /18th of August in Zimbabwe were counted, irrespective of their citizenship, nationality or residence status. Consequently, Zimbabweans who were out of the country on t

It should be noted that the main objects of the enumeration are i) the individual and ii) the household. A household, as defined for the 2012 Population census, is a person or group of persons who stayed the census night i.e. Friday night of the 17-18th of August, 2012, together in a dwelling unit, whether or not they were related by blood or marriage. he census night were not counted.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

Census information was collected using a pre-coded questionnaire (see copy in Appendix 1a). The questionnaire was made up of the following sections: A. Identification of enumeration area and household B. Socio-economic and demographic characteristics of household members. Disability was included here. C. School attendance and level of education attained by all household members age 3 years and above. Current attendance for those age 3 - 24 years. D. Labour force characteristics for those age 10 years and above E. Fertility questions for women age 15-49 years F. Living conditions G. Deaths in the household in the past 12 months H. Total number of people in the household by sex

A simplified version of the questionnaire was used for some special population categories, e.g. the vagrants and those in prison.

Note: For information on data collection, confidentiality protection, nonsampling error, subject definitions, and guidance on using the data, visit the 2020 Census Demographic and Housing Characteristics File (DHC) Technical Documentation webpage..To protect respondent confidentiality, data have undergone disclosure avoidance methods which add "statistical noise" - small, random additions or subtractions - to the data so that no one can reliably link the published data to a specific person or household. The Census Bureau encourages data users to aggregate small populations and geographies to improve accuracy and diminish implausible results..Source: U.S. Census Bureau, 2020 Census Demographic and Housing Characteristics File (DHC)

Data includes: board and school information, grade 3 and 6 EQAO student achievements for reading, writing and mathematics, and grade 9 mathematics EQAO and OSSLT. Data excludes private schools, Education and Community Partnership Programs (ECPP), summer, night and continuing education schools.

How Are We Protecting Privacy?

Results for OnSIS and Statistics Canada variables are suppressed based on school population size to better protect student privacy. In order to achieve this additional level of protection, the Ministry has used a methodology that randomly rounds a percentage either up or down depending on school enrolment. In order to protect privacy, the ministry does not publicly report on data when there are fewer than 10 individuals represented.

* Percentages depicted as 0 may not always be 0 values as in certain situations the values have been randomly rounded down or there are no reported results at a school for the respective indicator. * Percentages depicted as 100 are not always 100, in certain situations the values have been randomly rounded up.

The information in the School Information Finder is the most current available to the Ministry of Education at this time, as reported by schools, school boards, EQAO and Statistics Canada. The information is updated as frequently as possible.

This information is also available on the Ministry of Education's School Information Finder website by individual school.

Descriptions for some of the data types can be found in our glossary.

School/school board and school authority contact information are updated and maintained by school boards and may not be the most current version. For the most recent information please visit: https://data.ontario.ca/dataset/ontario-public-school-contact-information.

The data comprise a long-term study of alpine plant community dynamics in the Gunnison National Forest of Colorado. The data comprise annual census data for all plants (including seedlings) in each of 50 2x2m plots, including information on size, reproduction, life stage, and mortality, with all plants identified and geo-located. These data are also made available transformed to provide individual-level estimates of growth, survival, fecundity, and recruitment. The dataset covers several thousand individuals of approximately twenty species, and highlights an apparent pattern of demographic decline. The data also include information on microenvironment / microedaphic variation at 2 m resolution covering the entire research site, including information on temperatures, topography, soil chemistry, soil texture, and other variables. The data also include information on the functional traits of many of the species present at the site, including information on biomass allocation, leaf traits, root traits, seed traits, and floral traits.

Del 31 de mayo al 25 de junio se realizó el Censo de Población y Vivienda 2010 en el que más de 106 mil entrevistadores, recorrieron todo el país con el propósito de visitar cada vivienda y hacer algunas preguntas sobre éstas y sus ocupantes.
Nota: Derivado de la sentencia emitida por el Pleno de la Suprema Corte de Justicia de la Nación respecto a la Controversia Constitucional 41/2011, se publican, con fecha 26 de junio de 2013, todos los resultados del Censo de Población y Vivienda 2010 para los municipios de Tultepec, Nextlalpan y Tultitlán, estado de México.

This study was conducted under the auspices of the Center for Studies in Demography and Ecology at the University of Washington. It is a nationally representative sample of the population of the United States in 1900, drawn from the manuscript returns of individuals enumerated in the 1900 United States Census. Household variables include region, state and county of household, size of household, and type and ownership of dwelling. Individual variables for each household member include relationship to head of household, race, sex, age, marital status, number of children, and birthplace. Immigration variables include parents' birthplace, year of immigration and number of years in the United States. Occupation variables include occupation, coded by both the 1900 and 1950 systems, and number of months unemployed. Education variables include number of months in school, whether respondents could read or write a language, and whether they spoke English.

Abstract (en): Summary File 4 (SF 4) from the United States 2000 Census contains the sample data, which is the information compiled from the questions asked of a sample of all people and housing units. Population items include basic population totals: urban and rural, households and families, marital status, grandparents as caregivers, language and ability to speak English, ancestry, place of birth, citizenship status, year of entry, migration, place of work, journey to work (commuting), school enrollment and educational attainment, veteran status, disability, employment status, industry, occupation, class of worker, income, and poverty status. Housing items include basic housing totals: urban and rural, number of rooms, number of bedrooms, year moved into unit, household size and occupants per room, units in structure, year structure built, heating fuel, telephone service, plumbing and kitchen facilities, vehicles available, value of home, monthly rent, and shelter costs. In Summary File 4, the sample data are presented in 213 population tables (matrices) and 110 housing tables, identified with "PCT" and "HCT" respectively. Each table is iterated for 336 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), 39 Hispanic or Latino groups, and 86 ancestry groups. The presentation of SF4 tables for any of the 336 population groups is subject to a population threshold. That is, if there are fewer than 100 people (100-percent count) in a specific population group in a specific geographic area, and there are fewer than 50 unweighted cases, their population and housing characteristics data are not available for that geographic area in SF4. For the ancestry iterations, only the 50 unweighted cases test can be performed. See Appendix H: Characteristic Iterations, for a complete list of characteristic iterations. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.. All persons in housing units in the District of Columbia in 2000. 2013-05-25 Multiple Census data file segments were repackaged for distribution into a single zip archive per dataset. No changes were made to the data or documentation.2006-01-12 All files were removed from dataset 342 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 341 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 340 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 339 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 338 and flagged as study-level files, so that they will accompany all downloads. Because of the number of files per state in Summary File 4, ICPSR has given each state its own ICPSR study number in the range ICPSR 13512-13563. The study number for the national file is 13570. Data for each state are being released as they become available.The data are provided in 38 segments (files) per iteration. These segments are PCT1-PCT4, PCT5-PCT16, PCT17-PCT34, PCT35-PCT37, PCT38-PCT45, PCT46-PCT49, PCT50-PCT61, PCT62-PCT67, PCT68-PCT71, PCT72-PCT76, PCT77-PCT78, PCT79-PCT81, PCT82-PCT84, PCT85-PCT86 (partial), PCT86 (partial), PCT87-PCT103, PCT104-PCT120, PCT121-PCT131, PCT132-PCT137, PCT138-PCT143, PCT144, PCT145-PCT150, PCT151-PCT156, PCT157-PCT162, PCT163-PCT208, PCT209-PCT213, HCT1-HCT9, HCT10-HCT18, HCT19-HCT22, HCT23-HCT25, HCT26-HCT29, HCT30-HCT39, HCT40-HCT55, HCT56-HCT61, HCT62-HCT70, HCT71-HCT81, HCT82-HCT86, and HCT87-HCT110. The iterations are Parts 1-336, the Geographic Header File is Part 337. The Geographic Header File is in fixed-format ASCII and the table files are in comma-delimited ASCII format. A merged iteration will have 7,963 variables.For Parts 251-336, the part names contain numbers within parentheses that refer to the Ancestry Code List (page G1 of the codebook).