The Arlington Profile combines countywide data sources and provides a comprehensive outlook of the most current data on population, housing, employment, development, transportation, and community services. These datasets are used to obtain an understanding of community, plan future services/needs, guide policy decisions, and secure grant funding. A PDF Version of the Arlington Profile can be accessed on the Arlington County website.
In 2021, there were about 83.91 million family households counted in the United States. Of those households, approximately 12.62 million had a female householder with children.
In 2023, there were approximately 7.96 million households in the United Kingdom composed of a couple with no children, which was the most common type of household arrangement in this year. The second-most common type of household were couples living with one or two dependent children, at around 5.21 million.
The most common type of household in Sweden in 2023 was the single-person household without children, which amounted to more than two million. The second most common household type was cohabiting or married couples living without children. The number of households in Sweden in 2023 amounted to nearly 4.9 million. Different age distribution for men and women in single-person households The age distribution for single-person households in Sweden looks very different between men and women. The most common age for people living in single-person households among women was from 75 to 84 years, followed by the age group 65 to 74 years. The highest number of single-person households among men was found among men from 25 to 34 years. Increasing number of single-person households The number of single-person households increased annually from 2012 to 2022. Within this time period, the number of single-person households grew from around 1.7 million, up to over two million.
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The data on relationship to householder were derived from answers to Question 2 in the 2015 American Community Survey (ACS), which was asked of all people in housing units. The question on relationship is essential for classifying the population information on families and other groups. Information about changes in the composition of the American family, from the number of people living alone to the number of children living with only one parent, is essential for planning and carrying out a number of federal programs.
The responses to this question were used to determine the relationships of all persons to the householder, as well as household type (married couple family, nonfamily, etc.). From responses to this question, we were able to determine numbers of related children, own children, unmarried partner households, and multi-generational households. We calculated average household and family size. When relationship was not reported, it was imputed using the age difference between the householder and the person, sex, and marital status.
Household – A household includes all the people who occupy a housing unit. (People not living in households are classified as living in group quarters.) A housing unit is a house, an apartment, a mobile home, a group of rooms, or a single room that is occupied (or if vacant, is intended for occupancy) as separate living quarters. Separate living quarters are those in which the occupants live separately from any other people in the building and which have direct access from the outside of the building or through a common hall. The occupants may be a single family, one person living alone, two or more families living together, or any other group of related or unrelated people who share living arrangements.
Average Household Size – A measure obtained by dividing the number of people in households by the number of households. In cases where people in households are cross-classified by race or Hispanic origin, people in the household are classified by the race or Hispanic origin of the householder rather than the race or Hispanic origin of each individual.
Average household size is rounded to the nearest hundredth.
Comparability – The relationship categories for the most part can be compared to previous ACS years and to similar data collected in the decennial census, CPS, and SIPP. With the change in 2008 from “In-law” to the two categories of “Parent-in-law” and “Son-in-law or daughter-in-law,” caution should be exercised when comparing data on in-laws from previous years. “In-law” encompassed any type of in-law such as sister-in-law. Combining “Parent-in-law” and “son-in-law or daughter-in-law” does not represent all “in-laws” in 2008.
The same can be said of comparing the three categories of “biological” “step,” and “adopted” child in 2008 to “Child” in previous years. Before 2008, respondents may have considered anyone under 18 as “child” and chosen that category. The ACS includes “foster child” as a category. However, the 2010 Census did not contain this category, and “foster children” were included in the “Other nonrelative” category. Therefore, comparison of “foster child” cannot be made to the 2010 Census. Beginning in 2013, the “spouse” category includes same-sex spouses.
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Labour Force Survey (LFS) estimates including measures of uncertainty of the number of households by types of household and families, for regions of England and also Scotland and Wales.
Table from the American Community Survey (ACS) 5-year series on household types and population related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B11003 Family Type by Presence and Age of Own Children under 18 Years, B11005 Households by Presence of People Under 18 Years by Household Type, B11007 Households by Presence of People 65 Years and Over by Household Type, B11001 Household Type (Including Living Alone), B11002 Household Type by Relatives and Nonrelatives for Population in Households, B25003 Tenure, B25008 Total Population in Occupied Housing Units by Tenure, B09019 Household Type (Including Living Alone) by Relationship. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.Table created for and used in the Neighborhood Profiles application.Vintages: 2023ACS Table(s): B11003, B11005, B11007, B11001, B11002, B25003, B25008, B09019Data downloaded from: Census Bureau's Explore Census Data The United States Census Bureau's American Community Survey (ACS):<a href='https://www.census.gov/programs-surveys/acs/about.html' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='_blank' rel=
Single person households were the most common type of household in Denmark at the beginning of 2024, with nearly 1.3 million. Of these, 735,000 were female households. The second most common type of household was married couples, counting 938,000. In Denmark, the total number of households in Denmark increased by over 210,000 over the past decade. Households with children In 2023, most households in Denmark were without children, reaching roughly two million. The largest number of households with children had two children, amounting to around 332,000. It was closely followed by households with one child. There were 4,000 households with five children or more in 2023. Marriages and divorces While the number of single person households in Denmark has increased over the past decade, the number of marriages and partnerships have fallen over the past 20 years, even though there was an increase from 2013 to 2018. Moreover, the number of divorces decreased from 2014 to 2019, but increased again in 2020, before stabilizing after that.
This dataset contains Iowa households with and without children under 18 years old 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 B11005. Household type includes Total Households, Family - All Types, Family - Married Couple, Family - All Single Householders, Family - Male Householder - No Wife Present, Family - Female Householder - No Husband Present, Nonfamily - All Types, Nonfamily - Male Householder, Nonfamily - Female Householder, Total Households w/Minors, and Total Households w/o Minors. 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. Householder refers to the person (or one of the people) in whose name the housing unit is owned or rented (maintained) or, if there is no such person, any adult member, excluding roomers, boarders, or paid employees. If the house is owned or rented jointly by a married couple, the householder may be either the husband or the wife.
As of 2019, two-parent households were the most prevalent household formation in Sub-Saharan Africa. This family type made up ** percent of households in the region. The second most common household type was extended families, accounting for ** percent of the households.
Household patterns vary widely across Sub-Saharan Africa. On average, Sub-Saharan Africans live in the world's biggest households, with an average of *** members per household. Muslims live in more expansive arrangements than Christians. Within the Sub-Saharan region, the nations with the largest households tend to be in West Africa and have majority Muslim populations. In contrast, the smallest households are found in countries with a Christian majority. However, there are also exceptions to these patterns, such as Muslims in Madagascar living in smaller households than Christians.
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The indicator gives for each type of household the percentage of the total population.
In 2023 over five million private households were counted in Belgium, of which 1.81 million were single-person households. Approximately 969,000 households consisted of married couples with children living at home, whereas another 940,000 married couples had no children living at home. Relatively few households consisted of unmarried couples without children living at home. As this statistic shows, the number of households in Belgium is constantly increasing, from 4.7 million in 2011 to over 5.1 million according to the most recent numbers. This number is therefore expected to slowly increase further in the near future, with ever more single-person households forming in Belgium. Because of the ageing population, the number of collective households could also increase in the future.
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.
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SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES HOUSEHOLDS BY TYPE - DP02 Universe - Total households Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 The responses to this question were used to determine the relationships of all persons to the householder, as well as household type (married couple family, nonfamily, etc.). From responses to this question, we were able to determine numbers of related children, own children, unmarried partner households, and multigenerational households. We calculated average household and family size. When relationship was not reported, it was imputed using the age difference between the householder and the person, sex, and marital status.
In 2022, the most common family type in Finland was a married couple without children. The number of married couples with children has decreased for several decades, while the number of married couples without children has been on the rise.
After the amendment to the Marriage Act in March 2017, many registered partners changed their partnership into a marriage and new registered partnerships can no longer be formed.
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Hungary - Distribution of population by household types: Three or more adults was 11.30% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Hungary - Distribution of population by household types: Three or more adults - last updated from the EUROSTAT on July of 2025. Historically, Hungary - Distribution of population by household types: Three or more adults reached a record high of 14.00% in December of 2009 and a record low of 10.70% in December of 2022.
This dataset contains Iowa households 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 B11001. A household includes all the persons who occupy a housing unit as their usual place of residence. A housing unit is a house, an apartment, a mobile home, a group of rooms, or a single room that is occupied as separate living quarters. Household type includes All, All Family, Family - Married Couple, Family - All Single Householders, Family - Male Householder - No Wife Present, Family - Female Householder - No Husband Present, All Nonfamily, Nonfamily - Householder Living Alone, and Nonfamily - Householder Not Living Alone 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. Householder refers to the person (or one of the people) in whose name the housing unit is owned or rented (maintained) or, if there is no such person, any adult member, excluding roomers, boarders, or paid employees. If the house is owned or rented jointly by a married couple, the householder may be either the husband or the wife.
This layer shows Households by Type. This is shown by state and county boundaries. This service contains the 2018-2022 release of data from the American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show Average Household Size and the Total Households in a bi-variate map. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): B11001, B25010, B25044, DP02, DP04Data downloaded from: Census Bureau's API for American Community Survey Date of API call: January 18, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:Boundaries come from the Cartographic Boundaries via US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates, and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico. The Counties (and equivalent) layer contains 3221 records - all counties and equivalent, Washington D.C., and Puerto Rico municipios. See Areas Published. Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes. All of these are rendered in this dataset as null (blank) values.
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Quarterly and historical data on people living in UK households by type of household and combined economic activity status of household members.
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Distribution of households by household type and income level
The Arlington Profile combines countywide data sources and provides a comprehensive outlook of the most current data on population, housing, employment, development, transportation, and community services. These datasets are used to obtain an understanding of community, plan future services/needs, guide policy decisions, and secure grant funding. A PDF Version of the Arlington Profile can be accessed on the Arlington County website.