The average single-family house in the United States has overall increased in size since 2000. It reached its peak of 2,467 square feet in 2015 before falling to 2,299 square feet by 2022. Single-family house A single family home is defined as a dwelling designed to house a single family only. This means there are no common walls with other dwellings, the house has been built on its own parcel of land, and that it has its own private entry and exit to a street or thoroughfare. This definition excludes apartments, which are significantly smaller, and have actually been reducing in size over the same time period. Housing in the U.S. In 2022, there were over 85 million owner-occupied and 44 million renter occupied housing units in the United States. Single-family homes are by far the most common type of residential property purchased in the United States.

This map shows the predominant structure type of housing units, and number of housing units in structure, by tract for 2015-2019. Data from American Community Survey.This map helps illustrated where there are predominantly higher or lower density housing structures in a given area.Single-family detached houses are single-family detached homes (90% confidence). 1-unit structure detached from any other house, that is, with open space on all four sides. Such structures are considered detached even if they have an adjoining shed or garage. A one-family house that contains a business is considered detached as long as the building has open space on all four sides. A housing unit may be a house, an apartment, a mobile home, or rooms which have direct access from outside the building or through a common hall. Boats, recreational vehicles (RVs), vans, tents, railroad cars, and the like are included only if they are occupied as someone's current place of residence.Low-Density Multifamily Attached houses are comprised of single-family attached houses, and multifamily housing that are 2-9 units in a structure such as townhomes/row houses, apartments, double houses, or houses attached to nonresidential structures, each house is a separate, attached structure if the dividing or common wall goes from ground to roof.Medium-Density Multifamily Attached are comprised of multifamily housing that are 10-49 units in a structure, such as many med rise apartments.High-Density Multifamily Attached are comprised of multifamily housing that are 50+ units in a structure, generally considered high-rise apartments.Mobile homes are a prefabricated structure, built in a factory on a permanently attached chassis before being transported to site.

In 2022, three quarters of assisted living residents in the United States needed help with bathing. This was the most common type of activity of daily living (ADLs) a resident needed help with, followed by walking and dressing.

China Service Charges: 36 City Avg: Property Management Fee: Common Residence: Monthly Fee data was reported at 1.230 RMB/sq m in Jan 2025. This stayed constant from the previous number of 1.230 RMB/sq m for Dec 2024. China Service Charges: 36 City Avg: Property Management Fee: Common Residence: Monthly Fee data is updated monthly, averaging 0.770 RMB/sq m from Jan 2001 (Median) to Jan 2025, with 286 observations. The data reached an all-time high of 1.230 RMB/sq m in Jan 2025 and a record low of 0.380 RMB/sq m in Feb 2003. China Service Charges: 36 City Avg: Property Management Fee: Common Residence: Monthly Fee data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PA: Price Monitoring Center, NDRC: 36 City Monthly Avg: Service Charges.

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

This is part 1 (containing: Property Characteristics; Heating and Cooling; Water Heating; Tenant Appliances; Lighting; and Common Areas) of 2; part 2 (https://data.ny.gov/d/hc4z-b2p5) contains: Purchasing Decisions; Washer and Dryer; and Miscellaneous. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes data from 219 completed Multifamily owner and manager surveys. The types of data collected during the survey cover property characteristics, heating and cooling equipment, water heating equipment, tenant appliances, lighting, purchasing decision, common areas, clothes washing and drying, and miscellaneous equipment. The data is segmented to cover both common space equipment and, to the degree possible, tenant-unit equipment, such as refrigerators or clothes washers that are included in the rental by the building ownership.

Single-family houses and apartments in large residential buildings with five or more units were the most popular structure type for American renters in 2023. About 39 percent of the population who lived in rental accommodation occupied an apartment in a multifamily building. The share of households renting such apartments was even higher, at about 47 percent. In 2023, the average asking rent for an unfurnished apartment in the U.S. declined slightly, after surging for three years in a row.

In the United States, Hawaii was the state with the most expensive housing, with the typical value of single-family homes in the 35th to 65th percentile range exceeding 981,000 U.S. dollars. Unsurprisingly, Hawaii also ranked top as the state with the highest cost of living. Meanwhile, a property was the least expensive in West Virginia, where it cost under 167,000 U.S. dollars to buy the typical single-family home. Single-family home prices increased across most states in the United States between December 2023 and December 2024, except in Louisiana, Florida, and the District of Colombia. According to the Federal Housing Association, house appreciation in 13 states exceeded nine percent in 2023.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Households

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: Yes - Households: Yes - Individuals: Yes - Group quarters: Yes

UNIT DESCRIPTIONS: - Dwellings: A housing unit is a structurally separate and independent place of abode which, by the way it has been constructed, converted or arranged is intended for habitation by one or more households. Structures or parts of structures not intended for habitation such as commercial, industrial, and agricultural buildings, or natural and man-made shelters such as caves, boats, abandoned trucks, culverts, etc., but used as living quarters by households are also considered as housing units. - Households: A household is a social unit consisting of a person living alone or a group of persons who (1) sleep in the same housing unit and (2) have a common arrangement for the preparation and consumption of food. - Group quarters: Institutional population comprises persons who are found living in institutional living quarters. They may have their own families or households elsewhere but at the time of the census they are committed or confined in institutions, or they live in institutional living quarters and are usually subject to a common authority or management, or are bound by either a common public objective or a common personal interest.

Universe

Filipino nationals regardless of whether they are residing in Philipines at the time of the census and citizens of other countires having their usual residence in the Phillipines or those whose temporary residence will exceed a year from the time of their arrival.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Statistics Office

SAMPLE DESIGN: Systematic cluster sampling

SAMPLE UNIT: Household

SAMPLE FRACTION: 10%

SAMPLE UNIVERSE: Microdata are available for 100% samples

SAMPLE SIZE (person records): 7,417,810

Mode of data collection

Face-to-face [f2f]

Research instrument

Three used: CPH Form 2- Common Household Questionnaire; 3- Sample Household questionnaire;and 4 - Instituttional Population Questionnaire

Response rate

COVERAGE: 100%

Newly married persons by number of common children, place of residence, sex and age group. before marriage in consensual union (1994–2016).

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Individuals, households, and housing units

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes - Special populations: Homeless people, temporarily absent persons, and temporary residents

UNIT DESCRIPTIONS: - Dwellings: The totality of all living quarters, regardless of ownership and employment at the time of the census, including residential buildings, special houses (like hostels, houses for lonely and old people, children's homes, boarding houses for disabled, school hostels and boarding school), flats, service housings, holiday homes, hotels, other living accomodations in other buildings suited for living whether or not they are intended for living. - Households: A group of people sharing the same housing unit (or one person living alone), jointly keeping the house, i.e. fully or partially pooling their individual budgets for common expenditures for food and daily living needs or having a common budget who may or may not be related by kinship. - Group quarters: Groups of people living at the same institution (housing unit), sharing meals, without having individual budgets or common consumer expenditures, subject to the same general rules, and usually unrelated by kinship.

Universe

The entire population of the country, including private and institutional households, their accommodation and living conditions

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Statistical Committee of the Kyrgyz Republic

SAMPLE DESIGN: 20% sample drawn by the country: systematic sample of every 5th household or every 5th individual in collective household 10% sample drawn by MPC from the 20% sample: systematic sample of every 2nd household

SAMPLE UNIT: Households

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 564,986

Mode of data collection

Face-to-face [f2f]

Research instrument

Three census forms: List of Residents (Form 1), Census Questionnaire - Population (Form 2), and Census Questionnaire - Housing Fund (Form 3)

Response rate

COVERAGE: 100%

ACS DEMOGRAPHIC AND HOUSING ESTIMATES TOTAL HOUSING UNITS - DP05 Universe - Total housing units Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 A housing unit may be a house, an apartment, a mobile home, a group of rooms or a single room that is occupied (or, if vacant, intended for occupancy) as separate living quarters. Separate living quarters are those in which the occupants live separately from any other individuals in the building and which have direct access from outside the building or through a common hall. For vacant units, the criteria of separateness and direct access are applied to the intended occupants whenever possible. If that information cannot be obtained, the criteria are applied to the previous occupants. Both occupied and vacant housing units are included in the housing unit inventory. Boats, recreational vehicles (RVs), vans, tents, railroad cars, and the like are included only if theyare occupied as someone's current place of residence.

This web map contains layers that contain some of the more commonly used variables from the General Community Profile information from the Australian Bureau of Statistics 2021 census. Data is available for Country, Greater Capital City Statistical Area (GCCSA), Local Government Area (LGA), Statistical Area Level 1 (SA1) and 2 (SA2), and Suburb and Localities (SAL) boundaries.The General Community Profile contains a series of tables showing the characteristics of persons, families and dwellings in a selected geographic area. The data is based on place of usual residence (that is, where people usually live, rather than where they were counted on Census night). Community Profiles are excellent tools for researching, planning and analysing geographic areas for a number of social, economic and demographic characteristics.Download the data here.Data and Geography notes:View the Readme files located in the DataPacks and GeoPackages zip files.To access the 2021 DataPacks, visit https://www.abs.gov.au/census/find-census-data/datapacksGlossary terms and definitions of classifications can be found in the 2021 Census DictionaryMore information about Census data products is available at https://www.abs.gov.au/census/guide-census-data/about-census-tools/datapacksDetailed geography information: https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/main-structure-and-greater-capital-city-statistical-areas: 2021 Statistical Area Level 1 (SA1), 2021 Statistical Area Level 2 (SA2), 2021 Greater Capital City Statistical Areas (GCCSA), 2021 Australia (AUS)https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures: 2021 Suburbs and Localities (SAL), 2021 Local Government Areas (LGA)Please note that there are data assumptions that should be considered when analysing the ABS Census data. These are detailed within the Census documents referenced above. These include:Registered Marital StatusIn December 2017, amendments to the Marriage Act 1961 came into effect enabling marriage equality for all couples. For 2021, registered marriages include all couples.Core Activity Need for AssistanceMeasures the number of people with a profound or severe core activity limitation. People with a profound or severe core activity limitation are those needing assistance in their day to day lives in one or more of the three core activity areas of self-care, mobility and communication because of a long-term health condition (lasting six months or more), a disability (lasting six months or more), or old age. Number of Motor VehiclesExcludes motorbikes, motor scooters and heavy vehicles.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.Source: Australian Bureau of Statistics

Sample of women between the ages of 18 to 55 years

Newly married persons by number of common children, place of residence, sex and age group (1992–2016).

Residence situation of engaged couples before and after marriage. Topics: 1. Housing conditions before marriage: length of residence,residential furnishings and rent; size of residence; building size aswell as number of persons in residence. 2. Housing conditions after marriage: rent; number of rooms; size ofresidence; building size; age, location and equipment of residence;length of house-hunting; influence of economic situation andhouse-hunting on setting the wedding date. If a common residence is not yet available: house-hunting andresidence desire. Demography: age; marital status; school education; vocationaltraining; occupation; employment; household income.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Dwelling

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: No

UNIT DESCRIPTIONS: - Dwellings: Living quarters have been defined for census purposes as places of abode, which are structurally separate and independent. The terms separate and independent mean the following: Separate: A structure is considered separate if it is surrounded by walls, fence, etc., and is covered by roof. Independent: A structure is said to be independent if it has direct access via a public staircase, communal passageway or landing (that is, occupants can come in or go out of their living quarters without passing through someone else?s premises). In general, living quarters can be classified into two categories, that is: (i) Built or converted for living (e.g. house, flat, apartment, shophouse, makeshift hut, hotel, hostels, etc.) (ii) Not meant for living but used for this purpose on Census Day (e.g. in a building such as office, shop, barn, community hall, etc.) Living quarters built or converted for living can be further classified into housing units and collective living quarters. Housing units are classified into six main types, namely: House; Flat/apartment/condominium; Shop house, office; Room (with direct access to the outside); improvised/temporary hut; and others. House can be further classified into Detached house; and Semi-detached house. - Households: Household is a group of persons who: - Usually live together - Make common provisions for food and other essentials of living - Group quarters: --

Universe

All persons including foreigners who had stayed or intended to stay in Malaysia for six months or more in the Census year were covered. Apart from Malaysians, the following categories were also included provided they had stayed or intended to stay for 6 months or more in Malaysia: (a) Persons commuting across the Malaysian border (e.g. Singapore and Thailand) for work or studies but maintaining usual residence within Malaysia; (b) Malaysians who were away overseas as tourists, on short-term study or attending conferences/seminars or on business; (c) Expatriates and other foreign workers (including housemaids) as well as their family members; (d) Foreign long-term visitors and students; (e) Foreign military, naval and diplomatic personnel and their families staying in the country except for those who had diplomatic immunity and wished to be excluded; and (f) Persons without permanent homes and were found along footways, etc; The following categories were excluded from the Census count on the basis that they were staying in the country for less than six months in the Census year:- (a) Malaysian citizens and permanent residents who were away or intended to be away from the country for six months or more in the Census year because of work, studies etc.; (b) Malaysian military, naval and diplomatic personnel and their families who were staying outside Malaysia; and (c) Foreigners such as tourists, businessman and the like who stayed or intended to be in Malayisa for less than six months.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Department of Statistics Malaysia

SAMPLE DESIGN: With 2 per cent as the sampling fraction, or a sample interval of 50, the sample was selected using the living quarters serial number starting from 1, 51, 101, 151, 201 ??. N.

SAMPLE UNIT: household

SAMPLE FRACTION: 2%

SAMPLE SIZE (person records): 435,300

Mode of data collection

Face-to-face [f2f]

Research instrument

In the 2000 Population and Housing Census, three main schedules were used namely, Documents 1, 2 and 3/3a. Document 1, which is the Listing Book, was used to list all living quarters and obtain some related information. Document 2, which represented the main questionnaire, was divided into three sections. It collected information on living quarters, households and persons. Document 3/3a, which was an abbreviated version of Document 2, was used for institutions.

Response rate

UNDERCOUNT: 100%

In a survey conducted in Japan among sales representatives of housing developers in fiscal year 2023, around 85 percent of the respondents stated that customers who purchased custom-built detached houses equipped their new homes with solar panels. The share of representatives who said their customers equipped their homes with specific types of energy-efficient water heaters totaled 50 percent.

Newly married persons by number of common children, place of residence, sex and age group. before marriage in consensual union. administrative division as at 01.01.2018.

The NOAA Southeast Fisheries Science Center conducted surveys within the southern North Carolina estuarine system from 2018-01-08 to 2018-01-26 to provide an updated estimate of abundance for the Southern North Carolina Estuarine System Stock (SNCESS) of common bottlenose dolphins (Tursiops truncatus) using photographic-identification capture-mark-recapture (photo-ID) techniques. The surveys were strategically planned for winter when little overlap in distribution with the Northern North Carolina Estuarine System Stock (NNCESS) or coastal migratory stocks of bottlenose dolphins was expected. Because the sighting histories of individual dolphins have been an important tool for identifying or confirming stock membership, we also compared dolphins that were photo-identified during the 2018 surveys to dolphins that were included in a long-term photo-ID catalog dating back to 1995-07-10. Using the 2018 photographs and the long-term photo-ID catalog, we also evaluated the use of differences in Xenobalanus globicipitis infestation captured in photographs among individuals and groups as support for stock definition. This dataset contains the spatiotemporal sighting histories, photographs, observations of Xenobalanus globicipitis presence/absence, and environmental data for common bottlenose dolphin groups observed during the 2018 surveys. Data for individual dolphins observed during the 2018 surveys that were previously included in the long-term photo-ID catalog were provided as a subset with corresponding photographic matches. The sighting history and photographs of individuals matching from the long-term catalog are included with the exception of those dates indicated as capture events, as such photographs were not digitized.

China Land Supply: Year to Date: Residential: Common data was reported at 97,133.410 ha in Dec 2010. This records an increase from the previous number of 32,604.450 ha for Jun 2010. China Land Supply: Year to Date: Residential: Common data is updated quarterly, averaging 32,893.720 ha from Dec 2006 (Median) to Dec 2010, with 10 observations. The data reached an all-time high of 97,133.410 ha in Dec 2010 and a record low of 18,713.120 ha in Jun 2009. China Land Supply: Year to Date: Residential: Common data remains active status in CEIC and is reported by Ministry of Natural Resources. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKL: Land Supply.