The dataset titled "Overview of affordable housing indicators" is a comprehensive resource that provides insights into the affordability of housing across OECD member countries. The data spans from 2010 to 2020 and is updated annually. The dataset, published by the Organisation for Economic Co-operation and Development (OECD) on May 27, 2021, is available in PDF format and can be accessed openly. However, the OECD restricts the posting of its material on the internet, although linking, sharing, and embedding are permitted. The dataset does not contain data about individuals or identifiable individuals. The metadata for this dataset was created on November 15, 2023, and last modified on April 8, 2025. The dataset provides a range of economic indicators related to housing affordability, including house-price-to-income and housing-expenditure-to-income ratio measures. It also includes more data-intensive indicators such as residual income measures, which focus on the income households have left after paying for housing. The dataset is tagged with keywords such as Affordability, Affordable Housing, Economic Indicators, Expenditure, Housing Potential, Income, and Indicator. The dataset is owned by the OECD, and they can be contacted via telephone or fax for any queries. The dataset is available in English and the description of the dataset is provided. The dataset's source and location are provided, but the license is not specified.

Note: April 22, 2025: Updates to "CHN by income and HH size_v3". --------------------------------------------------------------------------------------------------------------------------------- Note: April 16, 2025: Updates to the following files have been made on April 9th and 16th: "CHN by income and HH size_v2", "cd_hh_projections_v2", "csd_hh_projections_v2", and "CMAs_all data_v3". --------------------------------------------------------------------------------------------------------------------------------- Note: March 31, 2025 files "Data_Element_1a" & "...1b" updated to v3 to include additional geographies (CDs and PTs) in the calculation of households close to rail transit. --------------------------------------------------------------------------------------------------------------------------------- Note: This dataset as of March 31st, 2025 now contains data on all 12 data elements, including core housing need among "gender diverse" households (formerly called "2SLGBTQ+" households) in table "Data_Element_ 3". That table (i.e. Data_Element_3) now also includes core housing need data on those priority populations reported in HART's HNA Tool. Two other outputs were migrated from that HNA Tool into this Federal HNA Template dataset: Income Categories and Affordable Shelter Costs, Percentage of Households in Core Housing Need by Income Category and Household Size, and 2021 Affordable Housing Deficit. (HICC Section 3.6), and Projected Households by Household Size and Income Category (HICC Section 6.1.1) This Borealis dataset has been updated accordingly to include that data: "AMHI.csv" (2021 AMHI and dollar ranges of income and shelter cost categories) "cd_hh_projections.csv" (Projected households in 2031 for CDs) "csd_hh_projections.csv" (Projected households in 2031 for CSDs) "CHN by income and HH size.csv" (2021 core housing need by income and household size) The geographical scope of the dataset has also been expanded. Before March 31st, only CSDs were included. As of March 31st, data on CDs, provinces/territories, the country of Canada, and CMA/CAs has been added. Not all data is available for all geographies: Data from CMHC's Rental Market Survey and Starts and Completions Survey are reported at the CSD level within CMAs/CAs. Results for provinces/territories/Canada are reported, but data for CDs is not. Since these surveys may not include all CSDs within a given CD, we have not attempted to aggregate this CSD data into CDs. Data from any custom census order by HART does not include CMA/CAs. We are able to aggregate the data by CSD into CMA/CAs, but all income and shelter cost data had been categorized based on the AMHI of the CSD as part of the original order (i.e. whether a household is "Very Low" income or "Low" income depends on the median household income of the CSD that the household lives in). This will lead to some inaccuracy and ambiguity of interpretation for the income or shelter cost data reported for CMAs. Data on "gender diverse" households is only available from Statistics Canada for geographies with a population count greater than 50,000 as of the 2021 census. This represents a total of 239 geographies (incl. Canada and the provinces/territories). Due to the low number of CSDs with this data, we have not attempted to aggregated this to the CMA/CA level. Data for CMAs/CAs will be added to the tool by mid-April 2025, but the source data has been summarized and included in this dataset: "CMAs_all data.csv" (All available data for CMAs and CAs) --------------------------------------------------------------------------------------------------------------------------------- Update (March 14, 2025): Tables "Data_Element_1a" and "...1b" have been updated to exclude some non-rail rapid transit stops that were erroneous included, notably in Winnipeg. --------------------------------------------------------------------------------------------------------------------------------- For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This database was created to accompany the dashboard on HART's website called the "Federal Housing Needs Assessment Template." URL: https://hart.ubc.ca/federal-hna-template/. This dashboard presents housing-related data to help communities complete the Housing Needs Assessment template requested by the Government of Canada as a requirement for certain funding applications. For more information on that template, please visit the Government of Canada's website (https://housing-infrastructure.canada.ca/housing-logement/hna-ebml/template-modele-eng.html). This dataset represents the underlying data used to populate HART's dashboard. The data contains some public and custom data from Canada's Census of Population (author: Statistics Canada), public data from the Canada Mortgage and Housing Corporation (CMHC) regarding it's Rental Market Survey as well as it's Starts and Completions Survey, private...

The dataset titled "Measures supporting affordable housing development" is a comprehensive collection of data pertaining to the affordability and development of housing. It is categorized under the domain of Housing and is tagged with keywords such as Affordability, Affordable Housing, Construction, Development, Finance, Housing Potential, Indicator, and property boundary. The dataset is available in PDF and Excel formats and was published on May 29, 2021. The data spans from January 1, 2019, to December 31, 2021, and covers OECD member countries. The dataset is open for access with certain usage limitations set by the OECD. The dataset is owned and published by the OECD and can be contacted via phone or fax for access-related queries. The dataset is in English and was last accessed on November 26, 2023. It does not contain data about individuals or identifiable individuals. The dataset is updated annually and covers OECD member countries in terms of geospatial resolution. It consists of 67 rows, 15 columns, and 516 data cells. The dataset is owned by The Organisation for Economic Co-operation and Development (OECD) and provides an overview of measures to property developers to finance the construction of new affordable housing. The dataset does not specify a license and was created on November 26, 2023, and last modified on March 28, 2025.

West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

The dataset titled "Housing suitability and dwelling condition, by tenure including social and affordable housing" is a comprehensive collection of data that spans from 2018 to 2022 and covers the geographical area of Canada. It is tagged with keywords such as Housing Potential, Society and Culture, dwelling characteristics, housing, and table. The dataset is owned and published by Statistics Canada, with the contact email being infostats@statcan.gc.ca. The data is updated on a yearly basis and is broken down by province for geospatial resolution. The dataset provides information on housing suitability (suitable or not suitable) and dwelling condition (regular maintenance, minor repairs, major repairs), by tenure including social and affordable housing, Canada, provinces, population centres, select census metropolitan areas (CMAs) and census agglomerations (CAs). The dataset was published on September 10, 2024, and the metadata was created on October 1, 2024, and last modified on April 7, 2025. The source of the dataset is provided, and it is licensed under the Open Government Licence - Canada. The resources available in the dataset include multiple datasets and supporting documents. The dataset is a valuable resource for those interested in housing potential and dwelling characteristics in Canada, and it is made accessible under the Open Government Licence - Canada, which allows for open access and use of the data.

This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Prince Edward Island; Nova Scotia; Newfoundland and Labrador ...), Housing estimates (3 items: Housing starts; Housing under construction; Housing completions ...), Type of unit (6 items: Total units; Semi-detached; Single-detached; Multiples ...).

If you’re a senior with low income, you may qualify for monthly Guaranteed Annual Income System payments.

Maximum payment and allowable private income amounts for the period from July 1, 2025 to June 30, 2026 are:

• $90 monthly for single seniors (maximum monthly payment amount), your annual private income must be less than $4,320
• $180 monthly for senior couples (maximum monthly payment amount), your annual private income must be less than $8,640

The data is organized by private income levels. GAINS payments are provided on top of the Old Age Security (OAS) pension and the Guaranteed Income Supplement (GIS) payments you may receive from the federal government.

Learn more about the Ontario Guaranteed Annual Income System

This data is related to The Retirement Income System in Canada