The average monthly rent in California for a two-bedroom apartment was 2,464 U.S. dollars in 2024, while a one-bedroom unit cost 1,989 U.S. dollars. Only renters who earn the area median income (AMI) can afford two-bedroom housing in California. Rent affordable to renters with full-time jobs at mean renter wage, or 30 percent area median income, was lower than the fair market rent of a two-bedroom and one-bedroom apartment in California, making this housing in this state not affordable for them. The rent in California ranked highest among all other states in the United States for a two bedroom apartment in 2024.
In 2023, Alaska reported the highest rent for public housing among all the states in the United States. The average monthly rent in Alaska amounted to 715 U.S. dollars for government-subsidized housing. California, New York, and Hawaii were some of the states with the highest average rent, with rental costs above 550 U.S. dollars. On the other hand, Puerto Rico offered the most affordable public housing with the lowest rent among all states, coming in at just 121 U.S. dollars. Some other affordable states for low-income families were Arkansas, Alabama, Oklahoma, and Ohio, all costing less than 320 U.S. dollars.
This table contains data on the living wage and the percent of families with incomes below the living wage for California, its counties, regions and cities/towns. Living wage is the wage needed to cover basic family expenses (basic needs budget) plus all relevant taxes; it does not include publicly provided income or housing assistance. The percent of families below the living wage was calculated using data from the Living Wage Calculator and the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. The living wage is the wage or annual income that covers the cost of the bare necessities of life for a worker and his/her family. These necessities include housing, transportation, food, childcare, health care, and payment of taxes. Low income populations and non-white race/ethnic have disproportionately lower wages, poorer housing, and higher levels of food insecurity. More information about the data table and a data dictionary can be found in the About/Attachments section.
More information is available on Ottawa Public Health's food insecurity webpage.Accuracy:Food affordability monitoring is done in accordance with the Monitoring Food Affordability Reference Document, 2018 and a standardized protocol developed by Public Health Ontario and Ontario Dietitians in Public Health.The local cost of the Nutritious Food Basket and the cost of rent are compared with various individual and family incomes to determine how affordable food is in Ottawa. In 2024, 10 urban/suburban and 2 rural grocery stores were selected in the costing sample across Ottawa to conduct the Nutritious Food Basket survey. A mixture of in-person and online costing was used. The 61 food items comprised in the Nutritious Food Basket is based on Canada’s food guide. Canada’s food guide is not inclusive of all religious and cultural groups, and they do not include traditional Indigenous foods and food procurement practices. OPH acknowledges that this is a significant limitation of the data collection.In 2024, there were 2 sources of housing used. Presented are 1) rental rates from the Canada Mortgage and Housing Corporation (CMHC) Ontario Rental Market Report, providing an average of current rental costs paid by tenants including purpose-built rental apartments and rental townhouses; and 2) rental rates from the 2024 Rentals.ca Annual Report, based on available units from both primary and secondary rental markets including basement apartments, condominiums, townhouses, semi-detached and single houses. The Rentals.ca data are based on the asking rates of available (vacant) units only and reflect ongoing trends in the rental market. Update Frequency: Annual Attributes:Refer to the references found in Document 1 (2024 Income Scenarios using CMHC Housing Cost Data) and Document 2 (2024 Income Scenarios using Rentals.ca Housing Cost Data). Contact: Karina Kwong
Shelter cost by tenure including presence of mortgage payments and subsidized housing for Canada, provinces and territories, census metropolitan areas and census agglomerations. Includes shelter-cost-to-income ratio, household total income groups and household type including census family structure, off reserve.
For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This dataset includes 18 tables which draw upon data from the 2016 Census of Canada. The tables are a custom order and contains data pertaining to core housing need and characteristics of households. 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 last 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. Included alongside the data tables is a guide to HART's housing need assessment methodology. This guide is intended to support independent use of HART's custom data both to allow for transparent verification of our analysis, as well as supporting efforts to utilize the data for analysis beyond what HART did. There are many data fields in the data order that we did not use that may be of value for others. 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 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. Universe: Full 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: Note: Certain data fields from the original .ivt files were not included in the .csv extracts. Those data fields have been marked with an asterisk () below. 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* Tenure Including Presence of Mortgage and Subsidized Housing; Household size (13) 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* 8. Total - Household size 9. 1 person 10. 2 persons 11. 3 persons 12. 4 persons 13. 5 or more persons household Shelter costs groups/statistics (20) 1. Total – Private households by household income proportion to AMHI_1 2. Households with income 20% or under of area median household income (AMHI) 3. Households with income 21% to 50% of AMHI 4. Households with income 51% to 80% of AMHI 5. Households with income 81% to 120% of AMHI 6. Households with income 121% or more of AMHI 7. Total – Private households by household income proportion to AMHI_2* 8. Households with income 30% and under of AMHI* 9. Households with income 31% to 60% of AMHI* 10. Households with income 61% or more of AMHI* 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* 17. Total – Private households by shelter cost proportion to AMHI_2* 18. Households with shelter cost 0.75% or under of AMHI* 19. Households with shelter cost 0.76% to 1.5% of AMHI* 20. Households with shelter cost 1.6% or more of AMHI* Selected characteristics of the households (61) 1. Total - Private households by presence of at least one or of the combined activity limitations (Q11a, Q11b, Q11c or Q11f or combined) 2. Household has at least one person who had at least one or of combined activity limitations reported for Q11a, Q11b, Q11c or Q11f 3. Total – Private households by presence of at least one or of the combined activity limitations (Q11d or Q11e or combined) 4. Household has at least one person with activity limitations reported for Q11d and Q11e or combined Q11d and Q11e health issues 5.Total - Private households by household type including census family structure* 6. Census family households* 7. One-census-family households without additional persons* 8. One couple census family without other persons in the household* 9. Without children* 10. With children* 11. One lone-parent census family without other persons in the household* 12. One-census-family households with additional persons* 13. One couple census family with other persons in the household* 14. Without children* 15. With children* 16. One lone-parent census family with other persons in the household* 17. Multiple-family households* 18. Non-census-family households* 19. Non-family households: One person only* 20. Two-or-more person non-census-family household* 21. Total - Private households by Aboriginal household status* 22. Aboriginal household status* 23. Total - Private households by visible minority households 24. Visible Minority households 25.Total - Sex of the primary household maintainer (PHM) 26. PHM is male* 27. PHM is female 28. Total - Private households by Aboriginal identity of the primary household maintainer (PHM) 29. PHM is Aboriginal 30. Total - Visible minority status of the primary household maintainer (PHM) 31. PHM is a visible minority* 32. PHM is Chinese* 33. PHM is South Asian* 34. PHM is Black 35. PHM is a Filipino* 36. PHM is Latin American* 37. PHM is Southeast Asian* 38. PHM is an Arab* 39. PHM is West Asian* 40. PHM is Korean* 41. PHM is Japanese* 42. PHM is a visible minority*, n.i.e. The abbreviation 'n.i.e.' means 'not included elsewhere.' Includes persons with a write-in response such as 'Guyanese,' 'West Indian,' 'Tibetan,' 'Polynesian,' 'Pacific Islander,' etc. 43. PHM is multiple visible minorities* 44. PHM is not a visible minority* 45. Total - Private households by immigrant status and period of immigration of the primary household maintainer (PHM) 46. PHM is an immigrant* 47. PHM is a recent immigrant (immigrated between 2011 and 2016) 48. Total – Immigrant status and admission category of the primary household maintainer (PHM) 49. PHM immigrated between 1980 and 2016* 50. PHM immigrated with a refugee status 51. Total – Private households by admission category and recent immigration status of the primary household maintainer (PHM)* 52. PHM is admitted with a refugee status between 2011 and 2016 period of immigration* 53. Total - Private households by household family type of the primary household maintainer (PHM) 54. PHM is a female lone-parent 55. Total – Private households by age group of the primary household maintainer (PHM) 56. PHM is under 24 years 57. PHM is between 15 to 19 years* 58. PHM is between 20 to 24 years* 59. PHM is between 65 years and over 60. PHM is between 65 to 84 years* 61. PHM is between 85 years and over 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 2015 dollars. File list (38 total): Original data files (18): 1. ORD-05563-K2P1Y6_CT.1 (Canada)_revised.ivt 2. ORD-05563-K2P1Y6_CT.2 (CDs)_revised.ivt 3. ORD-05563-K2P1Y6_CT.3 (BC_CSDs)_revised.ivt 4. ORD-05563-K2P1Y6_CT.4 (Ontario_CSDs_2016)_revised.ivt 5. ORD-05563-K2P1Y6_CT.9 (AB_CSDs) 6. ORD-05563-K2P1Y6_CT.10 (Manitoba & CSDs) 7. ORD-05563-K2P1Y6_CT.11 (Sask_CSDs)_2016_revised 8. ORD-05563-K2P1Y6_CT.12.1 (Quebec & CSDs (2401023 to 2434135) 9. ORD-05563-K2P1Y6_CT.12.2 (Quebec & CSDs (2435005-2466107) 10. ORD-05563-K2P1Y6_CT.12.3 (Quebec & CSDs (2466112 to 2499140) 11. ORD-05563-K2P1Y6_CT.13 (NFL_CSDs) 12. ORD-05563-K2P1Y6_CT.14 (PEI_CSDs) 13. ORD-05563-K2P1Y6_CT.15 (NS_CSDs) 14. ORD-05563-K2P1Y6_CT.16 (NB_CSDs) 15. ORD-05563-K2P1Y6_CT.17 (YT_CSDs) 16. ORD-05563-K2P1Y6_CT.18 (NWT_CSDs) 17. ORD-05563-K2P1Y6_CT.19 (NU_CSDs) 18. 2016 Median income_all geographies.ivt Excel
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This table contains data on the living wage and the percent of families with incomes below the living wage for California, its counties, regions and cities/towns. Living wage is the wage needed to cover basic family expenses (basic needs budget) plus all relevant taxes; it does not include publicly provided income or housing assistance. The percent of families below the living wage was calculated using data from the Living Wage Calculator and the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. The living wage is the wage or annual income that covers the cost of the bare necessities of life for a worker and his/her family. These necessities include housing, transportation, food, childcare, health care, and payment of taxes. Low income populations and non-white race/ethnic have disproportionately lower wages, poorer housing, and higher levels of food insecurity. More information about the data table and a data dictionary can be found in the About/Attachments section.
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If you’re a senior with low income, you may qualify for monthly Guaranteed Annual Income System payments.
The guaranteed income levels for July 1, 2024 to June 30, 2025 are:
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
In 2022, San Mateo, San Francisco, and Santa Clara were the most expensive districts for housing in the San Francisco Bay Area. In San Francisco, the average square footage price of single-family homes exceeded 1,000 U.S. dollars per square foot. Housing in Solano, on the other hand, was most affordable, with the average square footage price for single family homes at 370 U.S. dollars.
How expensive is buying a home in San Francisco? Few metros in the U.S. are more expensive than San Francisco, CA. In 2022, the median sales price of existing single-family homes in San Francisco was about 1.4 million U.S. dollars, making it the second priciest market in the U.S. House prices in the Golden City, were not always so high: in 2014, a two-bedroom house in the Bay Area would sell for less than 500,000 U.S. dollars but since then, the median price has more than doubled.
How much does renting an apartment cost? Despite rents falling in 2020, renting in San Francisco is still far from cheap. Renting a two-bedroom apartment cost close to 4,000 U.S. dollars in 2021. California is one of the least affordable states for renters. In fact, to afford to rent such an apartment, a household needs approximately three full time jobs at minimum wage or two full time jobs at mean wage.
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For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This dataset includes 18 tables which draw upon data from the 2006 Census of Canada. The tables are a custom order and contains data pertaining to core housing need and characteristics of households. 16 of the tables each cover a different geography in Canada: one for Canada as a whole, one for all Canadian census divisions (CD), and 14 for all census subdivisions (CSD) across Canada. The last two tables 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 variables within the Shelter Costs/Household Income dimension. Included alongside the data tables is a guide to HART's housing need assessment methodology. This guide is intended to support independent use of HART's custom data both to allow for transparent verification of our analysis, as well as supporting efforts to utilize the data for analysis beyond what HART did. There are many variables in the data order that we did not use that may be of value for others. 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: - 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 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. Universe: Full 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. Variables: Housing indicators in Core Housing Universe (3) 1. Total - Private Households by core housing need status 2. Households examined for core housing need 3. Households in core housing need Tenure Including Presence of Mortgage and Subsidized Housing; Household size (11) 1. Total - Household tenure and mortgage status 2. Owners 3. With mortgage 4. Without mortgage 5. Renters 6. Total - Household size 7. 1 person 8. 2 persons 9. 3 persons 10. 4 persons 11. 5 or more persons Shelter costs groups/statistics (20) 1. Total – Private households by household income proportion to AMHI_1 2. Households with income 20% or under of area median household income (AMHI) 3. Households with income 21% to 50% of AMHI 4. Households with income 51% to 80% of AMHI 5. Households with income 81% to 120% of AMHI 6. Households with income 121% or over of AMHI 7. Total – Private households by household income proportion to AMHI_2 8. Households with income 30% and under of AMHI 9. Households with income 31% to 60% of AMHI 10. Households with income 61% or more of AMHI 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 over of AMHI 17. Total – Private households by shelter cost proportion to AMHI_2 18. Households with shelter cost 0.75% or under of AMHI 19. Households with shelter cost 0.76% to 1.5% of AMHI 20. Households with shelter cost greater than or equal to 1.6% of AMHI Selected characteristics of the households (47) 1.Total - Household type 2. Census-family households 3. One-census-family households 4. Couple-family households 5. With children 6. Without children 7. Lone-parent-family households 8. Multiple-family households...
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This dataset includes two tables which were custom ordered from Statistics Canada. One table includes information on shelter cost to income ratio and total shelter cost by tenure, household type, and household income. The other table includes variables on housing characteristics (total number of bedrooms, structural type, and tenure), and households (household size, household type, and age of primary household maintainer). 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 TABLE 1 includes the following dimensions and variables: Geography: Toronto CMA & Vancouver CMA to the census tract level Tenure: Owner (with and without mortgage), renter, subsidized, not subsidized Shelter Cost to Income Ratio: less than 15%, 15-30%, 30-50%, 50% or more, not applicable Household Type: -Census-family households -One-census family households without additional persons -One couple census family without other persons in the household -With children -Without children -One lone-parent census family without other persons in the household -One-census-family households with additional persons -One couple census family household with additional persons -One lone-parent census family with additional persons in the household -With children -Without children -One lone-parent census family with other persons in the household -Multiple census-family households -Non-census family household -One person households -Two or more person non-census households Total Shelter Cost: under $500 to over $3000 in intervals of $250 and $500 Household Income: in intervals of $10,000 up to $100,000 or more TABLE 2 includes the following dimensions and variables: Geography: Toronto CMA & Vancouver CMA to the census tract level Total number of bedrooms: No bedrooms to 4 or more bedrooms Tenure: Owner, renter Structural type: -Single detached house -Apartment with 5 or more stories -Other attached dwelling -Semi-detached house -Row house -Apartment or flat in a duplex -Apartment, building with fewer than 5 stories -Other single attached house -Movable dwelling Age of Household Maintainer: Begins at 15 and continues in 9 year intervals until 75 and over. Condominium Status: Condominium, not a condominium Household Type: -Census-family households -With children -Without children -Multiple census-family households -Non-census family household Household Size: One person up to 5 or more persons Original file names: EO2969 - Table 1 (Part 1) Cost income household _Toronto and Vancouver 2016.ivt EO2969 - Table 2 Tenure and dwelling_Toronto and Vancouver 2016.ivt
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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, age 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. 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 Notes: 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....
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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...
https://borealisdata.ca/api/datasets/:persistentId/versions/2.3/customlicense?persistentId=doi:10.5683/SP2/YFY6RYhttps://borealisdata.ca/api/datasets/:persistentId/versions/2.3/customlicense?persistentId=doi:10.5683/SP2/YFY6RY
This dataset includes three tables which were custom ordered from Statistics Canada. There is a table each for Vancouver CMA, Montreal CMA, and Toronto CMA, and the tables contain variables regarding dwelling characteristics, tenure, and shelter cost. 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: Montreal CMA, Vancouver CMA, Toronto CMA to the census tract level Total Shelter Cost: Under $500 to over $3000 in $500 intervals Shelter Cost to-Income Ratio: Spending less than 15%, 15-30%, 30-50%, 50% or more Tenure: Owner (including presence of mortgage), renter Condominium Status: Condominium, not a condominium Household Size: 1 person, 2 persons, 3 or more people Number of Bedrooms: No bedroom or 1 bedroom, 2 or more bedrooms Structural Type: -Single detached house -Apartment with 5 or more stories -Semi-detached house, row house or other single detached house -Apartment or flat in a duplex -Apartment, building with fewer than 5 stories Household Income: Median income and average income only Original file names: EO3091_Table2_Montreal.ivt EO3091_Table2_Toronto.ivt EO3091_Table2_Vancouver.ivt
In 2024, households in California needed an hourly wage of over 47 U.S. dollars to afford the rent of a two-bedroom apartment. Massachusetts had the second-least affordable two-bedroom apartments, as a household would have to earn at least around 45 U.S. dollars per hour in order to afford rent payments. These figures are considerably higher than the average minimum wage in place in many states. There was no state in which a minimum wage worker could afford rent for the average two-bedroom apartment, if they only worked 40 hours a week. Where are the least affordable counties and metros? The least affordable rents were predominately in Californian counties and metropolitan areas in 2024. District of Columbia has one of the highest minimum wages in the country, which stood at 17 U.S. dollars per hour as of January 2024. Thus, the affordability of two-bedroom apartments highlights how disproportionately high housing costs are in the state.
https://borealisdata.ca/api/datasets/:persistentId/versions/1.4/customlicense?persistentId=doi:10.5683/SP2/QZABKZhttps://borealisdata.ca/api/datasets/:persistentId/versions/1.4/customlicense?persistentId=doi:10.5683/SP2/QZABKZ
This dataset includes six tables which were custom ordered from Statistics Canada. All tables include commuting characteristics (mode of commuting, duration/distance), labour characteristics (employment income groups in 2015, Industry by the North American Industry Classification System 2012), and visible minority groups. 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: Place of Work (POW), Census Tract (CT) within CMA Vancouver. 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. However, it will be provided upon request. GNR values for POR and POW are different for each geography. Universe: The Employed Labour Force having a usual place of work for the population aged 15 years and over in private households that are rented (Tenure rented), full year-full time workers (40-52weeks) Variables: Visible minority (15) 1. Total - Visible minority 2. Total visible minority population 3. South Asian 4. Chinese 5. Black 6. Filipino 7. Latin American 8. Arab 9. Southeast Asian 10. West Asian 11. Korean 12. Japanese 13. Visible minority, n.i.e. 14. Multiple visible minorities 15. Not a visible minority Commuting duration and distance (18) 1. Total - Commuting duration 2. Less than 15 minutes 3. 15 to 29 minutes 4. 30 to 44 minutes 5. 45 to 59 minutes 6. 60 minutes and over 7. Total - Commuting distance 8. Less than 1 km 9. 1 to 2.9 km 10. 3 to 4.9 km 11. 5 to 6.9 km 12. 7 to 9.9 km 13. 10 to 14.9 km 14. 15 to 19.9 km 15. 20 to 24.9 Km 16. 25 to 29.9 km 17. 30 to 34.9 km 18. 35 km or more Main mode of commuting (7) 1. Total - Main mode of commuting 2. Driver, alone 3. 2 or more persons shared the ride to work 4. Public transit 5. Walked 6. Bicycle 7. Other method Employment income groups in 2015 (39) 1. Total – Total Employment income groups in 2015 2. Without employment income 3. With employment income 4. Less than $30,000 (including loss) 5. $30,000 to $79,999 6. $30,000 to $39,999 7. $40,000 to $49,999 8. $50,000 to $59,999 9. $60,000 to $69,999 10. $70,000 to $79,999 11. $80,000 and above 12. Median employment income ($) 13. Average employment income ($) 14. Total – Male Employment income groups in 2015 15. Without employment income 16. With employment income 17. Less than $30,000 (including loss) 18. $30,000 to $79,999 19. $30,000 to $39,999 20. $40,000 to $49,999 21. $50,000 to $59,999 22. $60,000 to $69,999 23. $70,000 to $79,999 24. $80,000 and above 25. Median employment income ($) 26. Average employment income ($) 27. Total – Female Employment income groups in 2015 28. Without employment income 29. With employment income 30. Less than $30,000 (including loss) 31. $30,000 to $79,999 32. $30,000 to $39,999 33. $40,000 to $49,999 34. $50,000 to $59,999 35. $60,000 to $69,999 36. $70,000 to $79,999 37. $80,000 and above 38. Median employment income ($) 39. Average employment income ($) Industry - North American Industry Classification System (NAICS) 2012 (54) 1. Total - Industry - North American Industry Classification System (NAICS) 2012 2. 11 Agriculture, forestry, fishing and hunting 3. 21 Mining, quarrying, and oil and gas extraction 4. 22 Utilities 5. 23 Construction 6. 236 Construction of buildings 7. 237 Heavy and civil engineering construction 8. 238 Specialty trade contractors 9. 31-33 Manufacturing 10. 311 Food manufacturing 11. 41 Wholesale trade 12. 44-45 Retail trade 13. 441 Motor vehicle and parts dealers 14. 442 Furniture and home furnishings stores 15. 443 Electronics and appliance stores 16. 444 Building material and garden equipment and supplies dealers 17. 445 Food and beverage stores 18. 446 Health and personal care stores 19. 447 Gasoline stations 20. 448 Clothing and clothing accessories stores 21. 451 Sporting goods, hobby, book and music stores 22. 452 General merchandise stores 23. 453 Miscellaneous store retailers 24. 454 Non-store retailers 25. 48-49 Transportation and warehousing 26. 481 Air transportation 27. 482 Rail transportation 28. 483 Water...
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The average monthly rent in California for a two-bedroom apartment was 2,464 U.S. dollars in 2024, while a one-bedroom unit cost 1,989 U.S. dollars. Only renters who earn the area median income (AMI) can afford two-bedroom housing in California. Rent affordable to renters with full-time jobs at mean renter wage, or 30 percent area median income, was lower than the fair market rent of a two-bedroom and one-bedroom apartment in California, making this housing in this state not affordable for them. The rent in California ranked highest among all other states in the United States for a two bedroom apartment in 2024.