[ARCHIVED] Community Counts data is retained for archival purposes only, such as research, reference and record-keeping. This data has not been maintained or updated. Users looking for the latest information should refer to Statistics Canada’s Census Program (https://www12.statcan.gc.ca/census-recensement/index-eng.cfm?MM=1) for the latest data, including detailed results about Nova Scotia. This table reports the presence of children in private households. This data is sourced from the Census of Population. Geographies available: provinces, counties, communities, municipalities, district health authorities, community health boards, economic regions, police districts, school boards, municipal electoral districts, provincial electoral districts, federal electoral districts, regional development authorities, watersheds

This dataset contains the results of EPAs estimates for domestic water supply in The United States for 2020 census blocks. The file is a comma-delimited text file, which contains records for 2020 census blocks. This data can be used to estimate the number of housing units and populations that are estimated to be using either private water supplies such as domestic wells or connected to a community water system. These results are estimates and should not be used to convey exact counts of well or public water users. For a full description of the data, please refer to the GitHub page: https://github.com/USEPA/ORD_Water_Source_2020/tree/main/outputs.

Graph and download economic data for Total Private Construction Spending: Power in the United States (PRPWRCON) from Jan 1993 to Aug 2025 about expenditures, construction, private, and USA.

Graph and download economic data for Total Private Construction Spending: Residential in the United States (MPCV00XXS) from Feb 2002 to Aug 2025 about residential, expenditures, construction, private, and USA.

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset from the U.S. Census Bureau hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according the amount of data that is brought in. Explore the U.S. Census Bureau using Kaggle and all of the data sources available through the U.S. Census Bureau organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by Samuel Zeller on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Dataset contains occupied and unoccupied private dwelling counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the occupied and unoccupied private dwelling counts between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by statistical area 2.

Map shows the percentage change in number of occupied and unoccupied private dwellings between the 2018 and 2023 Censuses.

Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

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Footnotes

Geographical boundaries

Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

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Caution using time series

Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

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About the 2023 Census dataset

For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

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Data quality

The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

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Quality rating of a variable

The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.

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Dwelling occupancy status quality rating

Dwelling occupancy status is rated as high quality.

Dwelling occupancy status – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Dwelling type quality rating

Dwelling type is rated as moderate quality.

Dwelling type – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Using data for good

Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

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Confidentiality

The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

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Symbol

-998 Not applicable

-999 Confidential

Dataset

This dataset was created by Jawed Ashraf

Contents

Investigator(s): Bureau of Justice Statistics, Office of Juvenile Justice and Delinquency Prevention The Census of Public and Private Juvenile Detention, Correctional, and Shelter Facilities series (formerly called the Juvenile Detention and Correctional Facility Census series and also known as the Children in Custody (CIC) census) was originally designed and sponsored by the Department of Health, Education, and Welfare and the Bureau of Justice Statistics, and the later studies are sponsored by the Office of Juvenile Justice and Delinquency Prevention. The series is conducted by the United States Census Bureau. These data provide information on the population and characteristics of public (through 1984-1985) or public and private (1986-1987 and beyond) juvenile facilities in operation in the United States each February. Annual data for the previous calendar year are included as well. Residential programs and group homes were included in the census if they housed three or more residents, if at least 50 percent of the residents were juveniles, and if accused or adjudicated delinquents and status offenders were at least 1 percent of their average daily population. In California, however, all California Youth Authority Facilities were included in the census. Juvenile facilities operated as part of adult jails were excluded, as were nonresidential facilities, facilities exclusively for drug or alcohol abusers or nonoffenders, and federal juvenile correctional facilities.Years Produced: Annually National Juvenile Corrections Data Summary The Office of Juvenile Justice and Delinquency Prevention sponsored three series of national juvenile corrections data collections:Census of Public and Private Juvenile Detention, Correctional, and Shelter Facilities Series,Census of Juveniles in Residential Placement (CJRP) Series, and theJuvenile Residential Facility Census (JRFC) Series.The CJRP was administered for the first time in 1997. The CJRP replaced the Census of Public and Private Juvenile Detention, Correctional, and Shelter Facilities (formerly called the Juvenile Detention and Correctional Facility Census series and also known as the Children in Custody (CIC) census), which had been conducted since the early 1970s. The CJRP differs fundamentally from CIC in that the CIC collected aggregate data on juveniles held in each facility (e.g., number of juveniles in the facility) and the CJRP collects an individual record on each juvenile held in the residential facility to provide a detailed picture of juveniles in custody. The companion data collection to CJRP, the JRFC, is designed to collect information about the facilities in which juvenile offenders are held.ICPSR merged data from the CJRP series with data from the JRFC series. These studies are included in the Matched Census of Juveniles in Residential Placement (CJRP)/Juvenile Residential Facility Census (JRFC) Series.

United States Construction VIP: saar: Private: Warehouse: Mini Storage data was reported at 5.593 USD bn in May 2018. This records a decrease from the previous number of 5.761 USD bn for Apr 2018. United States Construction VIP: saar: Private: Warehouse: Mini Storage data is updated monthly, averaging 0.903 USD bn from Jan 1993 (Median) to May 2018, with 305 observations. The data reached an all-time high of 5.761 USD bn in Apr 2018 and a record low of 0.000 USD bn in Apr 1993. United States Construction VIP: saar: Private: Warehouse: Mini Storage data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.EA002: Value of Construction Put in Place (VIP): Current Price: Seasonally Adjusted Annual Rate.

Graph and download economic data for New Privately-Owned Housing Units Completed: Total Units (COMPUTSA) from Jan 1968 to Aug 2025 about new, private, housing, and USA.

Dataset contains counts and measures for households from the 2013, 2018, and 2023 Censuses. Data is available by statistical area 2.

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The variables included in this dataset are for households in occupied private dwellings (unless otherwise stated). All data is for level 1 of the classification (unless otherwise stated):

• Count of households in occupied private dwellings
• Access to telecommunication systems (total responses)
• Household crowding index for levels 1 and 2
• Household composition
• Number of usual residents in household
• Average number of usual residents in household
• Number of motor vehicles
• Sector of landlord for households in rented occupied private dwellings
• Tenure of household
• Total household income
• Median ($) total household income
• Weekly rent paid by household for households in rented occupied private dwellings
• Median ($) weekly rent paid by household for households in rented occupied private dwellings.

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Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

​

Footnotes

Geographical boundaries

Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

​

Caution using time series

Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

​

About the 2023 Census dataset

For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

​

Data quality

The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

​

Concept descriptions and quality ratings

Data quality ratings for 2023 Census variables has additional details about variables found within totals by topic, for example, definitions and data quality.

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Household crowding

Household crowding is based on the Canadian National Occupancy Standard (CNOS). It calculates the number of bedrooms needed based on the demographic composition of the household. The household crowding index methodology for 2023 Census has been updated to use gender instead of sex. Household crowding should be used with caution for small geographical areas due to high volatility between census years as a result of population change and urban development. There may be additional volatility in areas affected by the cyclone, particularly in Gisborne and Hawke's Bay. Household crowding index – 2023 Census has details on how the methodology has changed, differences from 2018 Census, and more.

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Using data for good

Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

​

Confidentiality

The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

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Measures

Measures like averages, medians, and other quantiles are calculated from unrounded counts, with input noise added to or subtracted from each contributing value during measures calculations. Averages and medians based on less than six units (e.g. individuals, dwellings, households, families, or extended families) are suppressed. This suppression threshold changes for other quantiles. Where the cells have been suppressed, a placeholder value has been used.

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Percentages

To calculate percentages, divide the figure for the category of interest by the figure for 'Total stated' where this applies.

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Symbol

-997 Not available

-999 Confidential

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Inconsistencies in definitions

Please note that there may be differences in definitions between census classifications and those used for other data collections.

United States Private Housing Units Authorized: Mississippi data was reported at 799.000 Unit in Jun 2018. This records an increase from the previous number of 677.000 Unit for May 2018. United States Private Housing Units Authorized: Mississippi data is updated monthly, averaging 773.500 Unit from Jan 1995 (Median) to Jun 2018, with 282 observations. The data reached an all-time high of 2,307.000 Unit in Mar 2007 and a record low of 247.000 Unit in Dec 2011. United States Private Housing Units Authorized: Mississippi data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.EA011: Private Housing Units: Authorized: By States.

United States Private Housing Units Authorized: District of Columbia data was reported at 799.000 Unit in Jun 2018. This records an increase from the previous number of 112.000 Unit for May 2018. United States Private Housing Units Authorized: District of Columbia data is updated monthly, averaging 57.500 Unit from Jan 1995 (Median) to Jun 2018, with 282 observations. The data reached an all-time high of 1,395.000 Unit in Oct 2017 and a record low of 0.000 Unit in Jun 2010. United States Private Housing Units Authorized: District of Columbia data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.EA011: Private Housing Units: Authorized: By States.

United States Private Housing Units Authorized: 1 Unit: Montana data was reported at 339.000 Unit in Jun 2018. This records an increase from the previous number of 259.000 Unit for May 2018. United States Private Housing Units Authorized: 1 Unit: Montana data is updated monthly, averaging 164.500 Unit from Jan 1995 (Median) to Jun 2018, with 282 observations. The data reached an all-time high of 702.000 Unit in Apr 2004 and a record low of 44.000 Unit in Jan 2011. United States Private Housing Units Authorized: 1 Unit: Montana data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.EA011: Private Housing Units: Authorized: By States.

Dataset contains occupied and unoccupied private dwelling counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the occupied and unoccupied private dwelling counts between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by regional council.

Map shows the percentage change in number of occupied and unoccupied private dwellings between the 2018 and 2023 Censuses.

Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

​

Footnotes

Geographical boundaries

Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

​

Caution using time series

Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

​

About the 2023 Census dataset

For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

​

Data quality

The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

​

Quality rating of a variable

The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.

​

Dwelling occupancy status quality rating

Dwelling occupancy status is rated as high quality.

Dwelling occupancy status – 2023 Census: Information by concept has more information, for example, definitions and data quality.

​

Dwelling type quality rating

Dwelling type is rated as moderate quality.

Dwelling type – 2023 Census: Information by concept has more information, for example, definitions and data quality.

​

Using data for good

Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

​

Confidentiality

The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

​

Number of Private for All Industries in Nome Census Area, AK was 200.00000 Establishments in January of 2025, according to the United States Federal Reserve. Historically, Number of Private for All Industries in Nome Census Area, AK reached a record high of 207.00000 in October of 1999 and a record low of 159.00000 in January of 1991. Trading Economics provides the current actual value, an historical data chart and related indicators for Number of Private for All Industries in Nome Census Area, AK - last updated from the United States Federal Reserve on October of 2025.

These data provide information on the population and characteristics of public and private juvenile facilities in operation in the United States on February 15, 1995. Annual data for the 1994 calendar year are included as well. Questions designed to categorize each facility were asked of facility administrators concerning the number of adults held, the juvenile majority's custodial authority, reason for custody, and access to the community, as well as the facility's security arrangements, capacity, age, plans for renovation, type of administration, and setting. Extensive data on the total juvenile residential population of each facility were also gathered. The total population is broken down by admission type, legal status, type of offense, race, and age. The collection also contains information on the population's movement and average length of stay, as well as each facility's average daily population, personnel by race, number, and staff position, educational, treatment, and medical programs available, annual expenditures, court orders and consent decrees, and number of juvenile deaths that year.

Graph and download economic data for New Private Housing Structures Authorized by Building Permits for Denver-Aurora-Lakewood, CO (MSA) (DENV708BPPRIVSA) from Jan 1988 to Aug 2025 about Denver, CO, permits, buildings, new, private, housing, and USA.

View monthly updates and historical trends for US Private Nonresidential Construction Spending. from United States. Source: Census Bureau. Track economic …