Graph and download economic data for Homeownership Rate in the United States (RHORUSQ156N) from Q1 1965 to Q1 2025 about homeownership, housing, rate, and USA.

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. The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).

The Public Use Database (PUDB) is released annually to meet FHFA’s requirement under 12 U.S.C. 4543 and 4546(d) to publicly disclose data about the Enterprises’ single-family and multifamily mortgage acquisitions. The datasets supply mortgage lenders, planners, researchers, policymakers, and housing advocates with information concerning the flow of mortgage credit in America’s neighborhoods. Beginning with data for mortgages acquired in 2018, FHFA has ordered that the PUDB be expanded to include additional data that is the same as the data definitions used by the regulations implementing the Home Mortgage Disclosure Act, as required by 12 U.S.C. 4543(a)(2) and 4546(d)(1).The PUDB single-family datasets include loan-level records that include data elements on the income, race, and sex of each borrower as well as the census tract location of the property, loan-to-value (LTV) ratio, age of mortgage note, and affordability of the mortgage. New for 2018 are the inclusion of the borrower’s debt-to-income (DTI) ratio and detailed LTV ratio data at the census tract level. The PUDB multifamily property-level datasets include information on the unpaid principal balance and type of seller/servicer from which the Enterprise acquired the mortgage. New for 2018 is the inclusion of property size data at the census tract level. The multifamily unit-class files also include information on the number and affordability of the units in the property. Both the single-family and multifamily datasets include indicators of whether the purchases are from “underserved” census tracts, as defined in terms of median income and minority percentage of population.Prior to 2010 the single-family PUDB consisted of three files: Census Tract, National A, and National B files. With the 2010 PUDB a fourth file, National C, was added to provide information on high-cost mortgages acquired by the Enterprises. The single-family Census Tract file includes information on the location of the property based on the 2010 Census for acquisition years 2012 through 2021, and the 2020 Census beginning with the 2022 acquisition year. The National files contain other information but lack detailed geographic information in order to protect Enterprise proprietary data. The multifamily datasets also consist of a Census Tract file, and a National file without detailed geographic information.Several dashboards are available to analyze the data:Enterprise Multifamily Public Use Database DashboardThe Enterprise Multifamily Public Use Database (PUDB) Dashboard provides users an interactive way to generate and visualize Enterprise PUDB data of multifamily mortgage acquisitions by Fannie Mae and Freddie Mac. It shows characteristics about multifamily loans, properties and units at the national level, and characteristics about multifamily loans and properties at the state level. It includes key statistics, time series charts, and state maps of multifamily housing characteristics such as median loan amount, number of properties, average number of units per property, and unit affordability. The underlying aggregate statistics presented in the dashboard come from three multifamily data files in the Enterprise PUDB, updated annually since 2008, including two property-level datasets and a data file on the size and affordability of individual units.Enterprise Multifamily Public Use DashboardPress Release - FHFA Releases Data Visualization Dashboard for Enterprises’ Multifamily Mortgage AcquisitionsMortgage Loan and Natural Disaster DashboardFHFA published an interactive Mortgage Loan and Natural Disaster Dashboard that combines FHFA’s PUDB reports on single-family and multifamily acquisitions for the regulated entities, FEMA’s National Risk Index (NRI), and FHFA’s Duty to Serve 2023 High-Needs rural areas. Desired geographies can be exported to .pdf and Excel from the Public Use Database and National Risk Index Dashboard.Mortgage Loan and Natural Disaster DashboardMortgage Loan and Natural Disaster Dashboard FAQs

Analysis of ‘NYSERDA Low- to Moderate-Income New York State Census Population Analysis Dataset: Average for 2013-2015’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8bd0ae94-40d3-4c9b-8a6b-de032e07929f on 12 February 2022.

--- Dataset description provided by original source is as follows ---

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.

The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015.

Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population.

The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight.

The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).

--- Original source retains full ownership of the source dataset ---

Existing Home Sales in the United States increased to 4030 Thousand in May from 4000 Thousand in April of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This data collection is one in a series of financial surveys of consumers conducted annually since 1946. In a nationally representative sample, the head of each spending unit (usually the husband, the main earner, or the owner of the home) was interviewed. The basic unit of reference in the study was the spending unit, but some family data are also available. The questions in the 1955 survey covered the respondent's attitudes toward national economic conditions and price activity, as well as the respondent's own financial situation. Other questions examined the spending unit head's occupation, and the nature and amount of the spending unit's income, debts, liquid assets, changes in liquid assets, savings, and actual and expected purchases of cars and other major durables. In addition, the survey explored in detail the subject of housing, e.g., previous and present home ownership, value of respondent's dwelling, satisfaction with home and space, expected duration of tenure there, mortgage information, budgeting, handling of family finances, use of installment plans, and changes in liquid assets. Personal data include number of people in the spending unit, age, sex, and education of the head, and the race and sex of the respondent. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR03600.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

This dataset includes one dataset which was custom ordered from Statistics Canada.The table includes information on housing suitability and shelter-cost-to-income ratio by number of bedrooms, housing tenure, status of primary household maintainer, household type, and income quartile ranges for census subdivisions in British Columbia.

The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website:
https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only).
For information on how to use Beyond 20/20, please see:
http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf
https://wiki.ubc.ca/Library:Beyond_20/20_Guide

Custom order from Statistics Canada includes the following dimensions and variables:

Geography:
Non-reserve CSDs in British Columbia - 299 geographies
The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. All the geographies requested for this tabulation have been cleared for the release of income data and have a GNR under 50%.

Housing Tenure Including Presence of Mortgage (5)
1. Total – Private non-band non-farm off-reserve households with an income greater than zero by housing tenure
2. Households who own
3. With a mortgage1
4. Without a mortgage
5. Households who rent
Note: 1) Presence of mortgage - Refers to whether the owner households reported mortgage or loan payments for their dwelling.

2015 Before-tax Household Income Quartile Ranges (5)
1. Total – Private households by quartile ranges1, 2, 3
2. Count of households under or at quartile 1
3. Count of households between quartile 1 and quartile 2 (median) (including at quartile 2)
4. Count of households between quartile 2 (median) and quartile 3 (including at quartile 3)
5. Count of households over quartile 3
Notes: 1) A private household will be assigned to a quartile range depending on its CSD-level location and depending on its tenure (owned and rented). Quartile ranges for owned households in a specific CSD are delimited by the 2015 before-tax income quartiles of owned households with an income greater than zero and residing in non-farm off-reserve dwellings in that CSD. Quartile ranges for rented households in a specific CSD are delimited by the 2015 before-tax income quartiles of rented households with an income greater than zero and residing in non-farm off-reserve dwellings in that CSD.
2) For the income quartiles dollar values (the delimiters) please refer to Table 1.
3) Quartiles 1 to 3 are suppressed if the number of actual records used in the calculation (not rounded or weighted) is less than 16. For cases in which the renters’ quartiles or the owners’ quartiles (figures from Table 1) of a CSD are suppressed the CSD is assigned to a quartile range depending on the provincial renters’ or owners’ quartile figures.

Number of Bedrooms (Unit Size) (6)
1. Total – Private households by number of bedrooms1
2. 0 bedrooms (Bachelor/Studio)
3. 1 bedroom
4. 2 bedrooms
5. 3 bedrooms
6. 4 bedrooms
Note: 1) Dwellings with 5 bedrooms or more included in the total count only.

Housing Suitability (6)
1. Total - Housing suitability
2. Suitable
3. Not suitable
4. One bedroom shortfall
5. Two bedroom shortfall
6. Three or more bedroom shortfall
Note: 1) 'Housing suitability' refers to whether a private household is living in suitable accommodations according to the National Occupancy Standard (NOS); that is, whether the dwelling has enough bedrooms for the size and composition of the household. A household is deemed to be living in suitable accommodations if its dwelling has enough bedrooms, as calculated using the NOS.
'Housing suitability' assesses the required number of bedrooms for a household based on the age, sex, and relationships among household members. An alternative variable, 'persons per room,' considers all rooms in a private dwelling and the number of household members.
Housing suitability and the National Occupancy Standard (NOS) on which it is based were developed by Canada Mortgage and Housing Corporation (CMHC) through consultations with provincial housing agencies.

Shelter-cost-to-income-ratio (4)
1. Total – Private non-band non-farm off-reserve households with an income greater than zero
2. Spending less than 30% of households total income on shelter costs
3. Spending 30% or more of households total income on shelter costs
4. Spending 50% or more of households total income on shelter costs
Note: 'Shelter-cost-to-income ratio' refers to the proportion of average total income of household which is spent on shelter costs.

Household Statistics (8)
1. Total – Private non-band non-farm off-reserve households with an income greater than zero1
2. Average household income in 2015 ($)2
3. Median household income in 2015 ($)3
4. Quartile 1 of household income in 2015 ($)4
5. Quartile 2 (median) of household income in 2015 ($)4
6. Quartile 3 of household income in 2015 ($)4
7. Average monthly shelter costs ($)2,5
8. Median monthly shelter costs ($)3,5
Notes: 1) All households statistics are calculated based on the distribution of private households in non-farm off-reserve non-band occupied private dwellings with a before-tax household income greater than zero.
2) The average is suppressed if the number of actual records used in the calculation (not rounded or weighted) is less than 4.
3) The median is suppressed if the number of actual records used in the calculation (not rounded or weighted) is less than 8.
4) Quartiles 1 to 3 are suppressed if the number of actual records used in the calculation (not rounded or weighted) is less than 16.
5) Shelter costs for owner households include, where applicable, mortgage payments, property taxes and condominium fees, along with the costs of electricity, heat, water and other municipal services. For renter households, shelter costs include, where applicable, the rent and the costs of electricity, heat, water and other municipal services.

Status of Primary Household Maintainer (11)
1. Total – Private households by Aboriginal identity of the primary household maintainer
2. PHM is Aboriginal2
3. PHM is not Aboriginal
4. Total – Private households by immigration status of the primary household maintainer
5. PHM is a non-immigrant3
6. PHM is an immigrant or a non-permanent resident
7. PHM is a non-permanent resident4
8. PHM is an immigrant5,6
9. Officially landed in Canada between 2011 and 2016 7
10. Officially landed in Canada between 2006 and 2010
11. Officially landed in Canada before 2006

Notes: 1) The Primary Household Maintainer is the first person in the household identified as someone who pays the rent or the mortgage, or the taxes, or the electricity bill, and so on, for the dwelling.
In the case of a household where two or more people are listed as household maintainers, the first person listed is chosen as the primary household maintainer.
2) 'Aboriginal identity' includes persons who are First Nations (North American Indian), Métis or Inuk (Inuit) and/or those who are Registered or Treaty Indians (that is, registered under the Indian Act of Canada) and/or those who have membership in a First Nation or Indian band. Aboriginal peoples of Canada are defined in the Constitution Act, 1982, section 35 (2) as including the Indian, Inuit and Métis peoples of Canada.
3) 'Non-immigrants' includes persons who are Canadian citizens by birth.
4) 'Non-permanent residents' includes persons from another country who have a work or study permit or who are refugee claimants, and their family members sharing the same permit and living in Canada with them.
5) 'Immigrants' includes persons who are, or who have ever been, landed immigrants or permanent residents. Such persons have been granted the right to live in Canada permanently by immigration authorities. Immigrants who have obtained Canadian citizenship by naturalization are included in this category. In the 2016 Census of Population, 'Immigrants' includes immigrants who landed in Canada on or prior to May 10, 2016.
6) Immigrants may not have a complete year of applicable income. The income data for the 2016 Census of Population are for the year 2015.
7) Includes immigrants who landed in Canada on or prior to May 10, 2016.

Original file name: CRO0163850_CT.5 (BC_Cultural),ivt

These National Statistics provide monthly estimates of the number of residential and non-residential property transactions in the UK and its constituent countries. National Statistics are accredited official statistics.

England and Northern Ireland statistics are based on information submitted to the HM Revenue and Customs (HMRC) Stamp Duty Land Tax (SDLT) database by taxpayers on SDLT returns.

Land and Buildings Transaction Tax (LBTT) replaced SDLT in Scotland from 1 April 2015 and this data is provided to HMRC by https://www.revenue.scot/" class="govuk-link">Revenue Scotland to continue the time series.

Land Transaction Tax (LTT) replaced SDLT in Wales from 1 April 2018. To continue the time series, the https://gov.wales/welsh-revenue-authority" class="govuk-link">Welsh Revenue Authority (WRA) have provided HMRC with a monthly data feed of LTT transactions since July 2021.

LTT figures for the latest month are estimated using a grossing factor based on data for the most recent and complete financial year. Until June 2021, LTT transactions for the latest month were estimated by HMRC based upon year on year growth in line with other UK nations.

LTT transactions up to the penultimate month are aligned with LTT statistics.

Go to Stamp Duty Land Tax guidance for the latest rates and information.

Go to Stamp Duty Land Tax rates from 1 December 2003 to 22 September 2022 and Stamp Duty: rates on land transfers before December 2003 for historic rates.

The latest release was published 09:30 27 June 2025 and was updated with provisional data from completed transactions during May 2025.

The next release will be published 09:30 31 July 2025 and will be updated with provisional data from completed transactions during June 2025.

https://webarchive.nationalarchives.gov.uk/ukgwa/20240320184933/https://www.gov.uk/government/statistics/monthly-property-transactions-completed-in-the-uk-with-value-40000-or-above" class="govuk-link">Archive versions of the Monthly property transactions completed in the UK with value of £40,000 or above are available via the UK Government Web Archive, from the National Archives.

Note: Data on gender diverse households (formerly "2SLGBTQ+" households) has been added as of March 28th, 2025.

For more information, please visit HART.ubc.ca.

Housing Assessment Resource Tools (HART)

This dataset contains 18 tables which draw upon data from the 2021 Canadian Census of Population. The tables are a custom order and contain data pertaining to core housing need and characteristics of households and dwellings. This custom order was placed in collaboration with Housing, Infrastructure and Communities Canada to fill data gaps in their Housing Needs Assessment Template.

17 of the tables each cover a different geography in Canada: one for Canada as a whole, one for all Canadian census divisions (CD), and 15 for all census subdivisions (CSD) across Canada. The 18th table contains the median income for all geographies. Statistics Canada used these median incomes as the "area median household income (AMHI)," from which they derived some of the data fields within the Shelter Costs/Household Income dimension.

The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide

Custom order from Statistics Canada includes the following dimensions and data fields:

Geography:
- Country of Canada, all CDs & Country as a whole
- All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia), all CSDs & each Province as a whole
- All 3 Territories (Nunavut, Northwest Territories, Yukon), all CSDs & each Territory as a whole
*- Data on gender diverse households is only available for geographies (provinces, territories, CDs, CSDs) with a population count greater than 50,000.

Data Quality and Suppression:
- The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released.

- Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada

- When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts greater than 10 are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Counts less than 10 are rounded to a base of 10, meaning they will be rounded to either 10 or Zero.

Universe:
Private Households in Non-farm Non-band Off-reserve Occupied Private Dwellings with Income Greater than zero.

Households examined for Core Housing Need:
Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances.

Data Fields:

Tenure Including Presence of Mortgage and Subsidized Housing; Household size (7)
1. Total - Private households by tenure including presence of mortgage payments and subsidized housing
2. Owner
3. With mortgage
4. Without mortgage
5. Renter
6. Subsidized housing
7. Not subsidized housing

Housing indicators in Core Housing Universe (12)
1. Total - Private Households by core housing need status
2. Households examined for core housing need
3. Households in core housing need
4. Below one standard only
5. Below affordability standard only
6. Below adequacy standard only
7. Below suitability standard only
8. Below 2 or more standards
9. Below affordability and suitability
10. Below affordability and adequacy
11. Below suitability and adequacy
12. Below affordability, suitability, and adequacy

Period of construction (10)
1. Total – Period of Construction
2. Before 2016
3. 1960 or before
4. 1961 to 1980
5. 1981 to 1990
6. 1991 to 2000
7. 2001 to 2005
8. 2006 to 2010
9. 2011 to 2015
10. 2016 to 2021 (Note 1)
Note 1). Includes data up to May 11, 2021.

Structural type of dwelling and Household income as proportion to AMHI (16)
1. Total - Structural type of dwelling
2. Single-detached house
3. Apartment in a building that has five or more storeys
4. Other attached dwelling
5. Apartment or flat in a duplex
6. Apartment in a building that has fewer than five storeys
7. Other single-attached house
8. Row house
9. Semi-detached house
10. Movable dwelling
11. Total – Private households by household income proportion to AMHI
12. Households with income 20% or under of area median household income (AMHI)
13. Households with income 21% to 50% of AMHI
14. Households with income 51% to 80% of AMHI
15. Households with income 81% to 120% of AMHI
16. Households with income 121% or more of AMHI

Selected characteristics (12)
1. Total – Private households by presence of activity limitation (Q18e only)
2. HH has at least one person who had an activity limitations reported for Question 18 e) only 1
3. Total – Age of primary household maintainer
4. 18 to 29 years
5. Total – Private households by military service status of the HH members
6. HH includes a person who is currently serving member and/or veteran
11. Total – Private households by shelter cost proportion to AMHI_1
12. Households with shelter cost 0.5% and under of AMHI
13. Households with shelter cost 0.6% to 1.25% of AMHI
14. Households with shelter cost 1.26% to 2% of AMHI
15. Households with shelter cost 2.1% to 3% of AMHI
16. Households with shelter cost 3.1% or more of AMHI*

Median income (2)
1. Number of households
2. Median income of household ($)
The household median income in the custom tabulation were estimates from a 25% sample-based data that have undergone weighting. These weights were applied to the sample data to produce estimates from the census long-form sample. The incomes used were drawn from the previous tax year, and therefore represent 2020 dollars.

[Only in "Census 2021 - Gender Diverse HHs" file] Genderdiversity (2)
1. Total - Gender diversity status of households
2. HH is gender diverse

File list (19 total):

Original data files (18):
1. Census 2021 - Table 1 - Median Incomes.ivt
2. Census 2021 - Table 2 - Canada.ivt
3. Census 2021 - Table 3 - Census Divisions.ivt
4. Census 2021 - Table 4 - Ontario CSDs.ivt
5. Census 2021 - Table 5 - BC CSDs.ivt
6. Census 2021 - Table 6 - Alberta CSDs.ivt
7. Census 2021 - Table 7 - Manitoba CSDs.ivt
8. Census 2021 - Table 8 - Saskatchewan CSDs.ivt
9. Census 2021 - Table 9-1 - Quebec CSDs (Part 1 of 3).ivt
10. Census 2021 - Table 9-2 - Quebec CSDs (Part 2 of 3).ivt
11. Census 2021 - Table 9-3 - Quebec CSDs (Part 3 of 3).ivt
12. Census 2021 - Table 10 - Newfoundland&Labrador CSDs.ivt
13. Census 2021 - Table 11 - PEI CSDs.ivt
14. Census 2021 - Table 12 - Nova Scotia CSDs.ivt
15. Census 2021 - Table 13 - New Brunswick CSDs.ivt
16. Census 2021 - Table 14 - Yukon CSDs.ivt
17. Census 2021 - Table 15 - NWT CSDs.ivt
18. Census 2021 - Table 16 - Nunavut CSDs.ivt
19. Census 2021 - Gender Diverse HHs.ivt

Pour de plus amples renseignements, veuillez visiter HART.ubc.ca.

Outils d'évaluation du logement ("HART")

Cet ensemble de données contient 18 tableaux qui s’appuient sur les données