Graph and download economic data for Zillow Home Value Index (ZHVI) for All Homes Including Single-Family Residences, Condos, and CO-OPs in California (CAUCSFRCONDOSMSAMID) from Jan 2000 to Apr 2025 about 1-unit structures, family, residential, CA, housing, indexes, and USA.

VITAL SIGNS INDICATOR
Housing Permits (LU3)

FULL MEASURE NAME
Permitted housing units

LAST UPDATED
February 2023

DESCRIPTION
Housing growth is measured in terms of the number of units that local jurisdictions permit throughout a given year. A permitted unit is a unit that a city or county has authorized for construction.

DATA SOURCE
California Housing Foundation/Construction Industry Research Board (CIRB) - https://www.cirbreport.org/
Construction Review report (1967-2022)

Association of Bay Area Governments (ABAG) – Metropolitan Transportation Commission (MTC) - https://data.bayareametro.gov/Development/HCD-Annual-Progress-Report-Jurisdiction-Summary/nxbj-gfv7
Housing Permits Database (2014-2021)

Census Bureau Building Permit Survey - https://www2.census.gov/econ/bps/County/
Building permits by county (annual, monthly)

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Bay Area housing permits data by single/multi family come from the California Housing Foundation/Construction Industry Research Board (CIRB). Affordability breakdowns from 2014 to 2021 come from the Association of Bay Area Governments (ABAG) – Metropolitan Transportation Commission (MTC) Housing Permits Database.

Single-family housing units include detached, semi-detached, row house and town house units. Row houses and town houses are included as single-family units when each unit is separated from the adjacent unit by an unbroken ground-to-roof party or fire wall. Condominiums are included as single-family units when they are of zero-lot-line or zero-property-line construction; when units are separated by an air space; or, when units are separated by an unbroken ground-to-roof party or fire wall. Multi-family housing includes duplexes, three-to-four-unit structures and apartment-type structures with five units or more. Multi-family also includes condominium units in structures of more than one living unit that do not meet the single-family housing definition.

Each multi-family unit is counted separately even though they may be in the same building. Total units is the sum of single-family and multi-family units. County data is available from 1967 whereas city data is available from 1990. City data is only available for incorporated cities and towns. All permits in unincorporated cities and towns are included under their respective county’s unincorporated total. Permit data is not available for years when the city or town was not incorporated.

Affordable housing is the total number of permitted units affordable to low and very low income households. Housing affordable to very low income households are households making below 50% of the area median income. Housing affordable to low income households are households making between 50% and 80% of the area median income. Housing affordable to moderate income households are households making below 80% and 120% of the area median income. Housing affordable to above moderate income households are households making above 120% of the area median income.

Permit data is missing for the following cities and years:
Clayton, 1990-2007
Lafayette, 1990-2007
Moraga, 1990-2007
Orinda, 1990-2007
San Ramon, 1990

Building permit data for metropolitan areas for each year is the sum of non-seasonally adjusted monthly estimates from the Census Building Permit Survey. The Bay Area values are the sum of the San Francisco-Oakland-Hayward MSA and the San Jose-Sunnyvale-Santa Clara MSA. The counties included in these areas are: San Francisco, Marin, Contra Costa, Alameda, San Mateo, Santa Clara, and San Benito.

Permit values reflect the number of units permitted in each respective year. Note that the data columns come from difference sources. The columns (SFunits, MFunits, TOTALunits, SF_Share and MF_Share) are sourced from CIRB. The columns (VeryLowunits, Lowunits, Moderateunits, AboveModerateunits, VeryLow_Share, Low_Share, Moderate_Share, AboveModerate_Share, Affordableunits and Affordableunits_Share) are sourced from the ABAG Housing Permits Database. Due to the slightly different methodologies that exist within each of those datasets, the total units from each of the two sources might not be consistent with each other.

As shown, three different data sources are used for this analysis of housing permits issued in the Bay Area. Data from the Construction Industry Research Board (CIRB) represents the best available data source for examining housing permits issued over time in cities and counties across the Bay Area, dating back to 1967. In recent years, Annual Progress Report (APR) data collected by the California Department of Housing and Community Development has been available for analyzing housing permits issued by affordability levels. Since CIRB data is only available for California jurisdictions, the U.S. Census Bureau provides the best data source for comparing housing permits issued across different metropolitan areas. Notably, annual permit totals for the Bay Area differ across these three data sources, reflecting the limitations of needing to use different data sources for different purposes.

Graph and download economic data for Housing Inventory: Active Listing Count in California (ACTLISCOUCA) from Jul 2016 to May 2025 about active listing, CA, listing, and USA.

Graph and download economic data for All-Transactions House Price Index for California (CASTHPI) from Q1 1975 to Q1 2025 about appraisers, CA, HPI, housing, price index, indexes, price, and USA.

VITAL SIGNS INDICATOR
Housing Permits (LU3)

FULL MEASURE NAME
Permitted housing units

LAST UPDATED
February 2023

DESCRIPTION
Housing growth is measured in terms of the number of units that local jurisdictions permit throughout a given year. A permitted unit is a unit that a city or county has authorized for construction.

DATA SOURCE
California Housing Foundation/Construction Industry Research Board (CIRB) - https://www.cirbreport.org/
Construction Review report (1967-2022)

Association of Bay Area Governments (ABAG) – Metropolitan Transportation Commission (MTC) - https://data.bayareametro.gov/Development/HCD-Annual-Progress-Report-Jurisdiction-Summary/nxbj-gfv7
Housing Permits Database (2014-2021)

Census Bureau Building Permit Survey - https://www2.census.gov/econ/bps/County/
Building permits by county (annual, monthly)

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Bay Area housing permits data by single/multi family come from the California Housing Foundation/Construction Industry Research Board (CIRB). Affordability breakdowns from 2014 to 2021 come from the Association of Bay Area Governments (ABAG) – Metropolitan Transportation Commission (MTC) Housing Permits Database.

Single-family housing units include detached, semi-detached, row house and town house units. Row houses and town houses are included as single-family units when each unit is separated from the adjacent unit by an unbroken ground-to-roof party or fire wall. Condominiums are included as single-family units when they are of zero-lot-line or zero-property-line construction; when units are separated by an air space; or, when units are separated by an unbroken ground-to-roof party or fire wall. Multi-family housing includes duplexes, three-to-four-unit structures and apartment-type structures with five units or more. Multi-family also includes condominium units in structures of more than one living unit that do not meet the single-family housing definition.

Each multi-family unit is counted separately even though they may be in the same building. Total units is the sum of single-family and multi-family units. County data is available from 1967 whereas city data is available from 1990. City data is only available for incorporated cities and towns. All permits in unincorporated cities and towns are included under their respective county’s unincorporated total. Permit data is not available for years when the city or town was not incorporated.

Affordable housing is the total number of permitted units affordable to low and very low income households. Housing affordable to very low income households are households making below 50% of the area median income. Housing affordable to low income households are households making between 50% and 80% of the area median income. Housing affordable to moderate income households are households making below 80% and 120% of the area median income. Housing affordable to above moderate income households are households making above 120% of the area median income.

Permit data is missing for the following cities and years:
Clayton, 1990-2007
Lafayette, 1990-2007
Moraga, 1990-2007
Orinda, 1990-2007
San Ramon, 1990

Building permit data for metropolitan areas for each year is the sum of non-seasonally adjusted monthly estimates from the Census Building Permit Survey. The Bay Area values are the sum of the San Francisco-Oakland-Hayward MSA and the San Jose-Sunnyvale-Santa Clara MSA. The counties included in these areas are: San Francisco, Marin, Contra Costa, Alameda, San Mateo, Santa Clara, and San Benito.

Permit values reflect the number of units permitted in each respective year. Note that the data columns come from difference sources. The columns (SFunits, MFunits, TOTALunits, SF_Share and MF_Share) are sourced from CIRB. The columns (VeryLowunits, Lowunits, Moderateunits, AboveModerateunits, VeryLow_Share, Low_Share, Moderate_Share, AboveModerate_Share, Affordableunits and Affordableunits_Share) are sourced from the ABAG Housing Permits Database. Due to the slightly different methodologies that exist within each of those datasets, the total units from each of the two sources might not be consistent with each other.

As shown, three different data sources are used for this analysis of housing permits issued in the Bay Area. Data from the Construction Industry Research Board (CIRB) represents the best available data source for examining housing permits issued over time in cities and counties across the Bay Area, dating back to 1967. In recent years, Annual Progress Report (APR) data collected by the California Department of Housing and Community Development has been available for analyzing housing permits issued by affordability levels. Since CIRB data is only available for California jurisdictions, the U.S. Census Bureau provides the best data source for comparing housing permits issued across different metropolitan areas. Notably, annual permit totals for the Bay Area differ across these three data sources, reflecting the limitations of needing to use different data sources for different purposes.

United States New Listings: Single Family: California data was reported at 30,786.000 Unit th in Jul 2020. This records an increase from the previous number of 27,643.000 Unit th for Jun 2020. United States New Listings: Single Family: California data is updated monthly, averaging 27,572.500 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 36,121.000 Unit th in May 2019 and a record low of 12,138.000 Unit th in Dec 2019. United States New Listings: Single Family: California data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB032: New Homes Listed for Sale: by States.

Data on resident owners who are persons occupying one of their residential properties: sex, age, total income, the type and the assessment value of the owner-occupied property, as well as the number and the total assessment value of residential properties owned.

The number of U.S. home sales in the United States declined in 2024, after soaring in 2021. A total of four million transactions of existing homes, including single-family, condo, and co-ops, were completed in 2024, down from 6.12 million in 2021. According to the forecast, the housing market is forecast to head for recovery in 2025, despite transaction volumes expected to remain below the long-term average. Why have home sales declined? The housing boom during the coronavirus pandemic has demonstrated that being a homeowner is still an integral part of the American dream. Nevertheless, sentiment declined in the second half of 2022 and Americans across all generations agreed that the time was not right to buy a home. A combination of factors has led to house prices rocketing and making homeownership unaffordable for the average buyer. A survey among owners and renters found that the high home prices and unfavorable economic conditions were the two main barriers to making a home purchase. People who would like to purchase their own home need to save up a deposit, have a good credit score, and a steady and sufficient income to be approved for a mortgage. In 2022, mortgage rates experienced the most aggressive increase in history, making the total cost of homeownership substantially higher. Are U.S. home prices expected to fall? The median sales price of existing homes stood at 413,000 U.S. dollars in 2024 and was forecast to increase slightly until 2026. The development of the S&P/Case Shiller U.S. National Home Price Index shows that home prices experienced seven consecutive months of decline between June 2022 and January 2023, but this trend reversed in the following months. Despite mild fluctuations throughout the year, home prices in many metros are forecast to continue to grow, albeit at a much slower rate.

Graph and download economic data for New Private Housing Units Authorized by Building Permits for California (CABPPRIVSA) from Jan 1988 to Apr 2025 about permits, buildings, CA, new, private, housing, and USA.

Housing under construction in Canada 2006-2023 Published by Fernando de Querol Cumbrera, Jun 7, 2024 In 2023, there were approximately 354,730 housing units under construction in population centers of over 10,000 people in Canada. Those numbers for 2023 were lower than the figures a year earlier. However, during most of the period considered the number of homes under construction generally increased, as there were less than 145,000 homes under construction in 2009. Development of residential construction in Canada The number of housing starts overall has developed similarly, but it was somewhat more volatile. Generally, the cities with the largest populations, like Toronto and Montreal experience the highest number of construction starts. The construction industry remains vital to Canada’s economy, providing employment to people across the country and billions in economic output. Types of housing Although many Canadians were living in single-detached houses, their cities have started to embrace multifamily starts quite early and are moving away from single family residential construction. The younger demographics in Canada, including new Canadians and young families are often striving towards homeownership but are also aware of climate change. High energy performance housing often comes with a higher price tag, but efforts are being made nationally in order to enshrine affordability as a core objective within national building codes.

United States Homes Sold: sa: Single Family: Los Angeles, CA data was reported at 3,746.297 Unit th in Jul 2020. This records an increase from the previous number of 2,504.656 Unit th for Jun 2020. United States Homes Sold: sa: Single Family: Los Angeles, CA data is updated monthly, averaging 4,292.734 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 5,635.112 Unit th in Dec 2012 and a record low of 2,124.564 Unit th in May 2020. United States Homes Sold: sa: Single Family: Los Angeles, CA data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB018: Homes Sold: by Metropolitan Areas: Seasonally Adjusted.

Graph and download economic data for Housing Inventory: Active Listing Count in San Diego County, CA (ACTLISCOU6073) from Jul 2016 to Dec 2024 about San Diego County, CA; San Diego; active listing; CA; listing; and USA.

Graph and download economic data for Housing Inventory: Active Listing Count in Los Angeles County, CA (ACTLISCOU6037) from Jul 2016 to Dec 2024 about Los Angeles County, CA; Los Angeles; active listing; CA; listing; and USA.

Data on resident owners who are persons occupying one of their residential properties: immigration characteristics (immigration status, period of immigration, admission category, place of birth), age, total family income, the number and the total assessment value of residential properties owned.

This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Newfoundland and Labrador; Prince Edward Island; Atlantic provinces ...), Housing estimates (3 items: Housing starts; Housing under construction; Housing completions ...), Type of unit (6 items: Total units; Multiples; Single-detached; Semi-detached ...), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted at annual rates ...).

Graph and download economic data for Housing Inventory: Active Listing Count in Orange County, CA (ACTLISCOU6059) from Jul 2016 to Dec 2024 about Orange County, CA; Los Angeles; active listing; CA; listing; and USA.

United States New Listings: Single Family: California, MD data was reported at 162.000 Unit th in Jul 2020. This records a decrease from the previous number of 163.000 Unit th for Jun 2020. United States New Listings: Single Family: California, MD data is updated monthly, averaging 136.500 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 227.000 Unit th in May 2019 and a record low of 56.000 Unit th in Dec 2012. United States New Listings: Single Family: California, MD data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB033: New Homes Listed for Sale: by Metropolitan Areas.

This layer provides low utilization results where:A Public Level 2 charger that is located within an eighth of a mile of households, defined as walking distance, can adequately serve 3 EVs that likely lack home charging (2 EVs overnight on separate days and 1 EV during the day)A Public DC fast charger that is located within two miles of households, defined as in the neighborhood, can adequately serve 20 EVs that likely lack home charging during the day (DC fast chargers would not be used for long-duration overnight charging) The quarter-mile hexagons show results that are based off model estimates: The "ev_no_walk" field can be used to identify areas for public Level 2 charging deployment that would capture charging demand within walking distance (1/8th mile) of households with EVs that likely lack home charging and also lack sufficient existing public Level 2 charging within walking distance. The "ev_no_2mi" field can be used to identify areas for public Level 2 and DC fast charging deployment that would capture charging demand within the neighborhood (2 miles) of households with EVs that likely lack home charging and also lack sufficient existing public Level 2 or DC fast charging within the neighborhood.Data dictionary:ObjectID: Unique IDsfh: Number of single-family homes (SFHs) estimated within the selected areamfh: Number of multifamily homes (MFHs) estimated within the selected areaall_veh: Number of 2024 vehicles estimated within the selected areavf_home: Number of electric vehicles (EVs) in a 100% EV future estimated to have home charging within the selected areavf_nohome: Number of electric vehicles (EVs) in a 100% EV future estimated to not have home charging within the selected areaev_home: Number of electric vehicles (EVs) estimated to have home charging within the selected areaev_no_home: Number of electric vehicles (EVs) estimated to not have home charging within the selected areaev_no_walk: Among electric vehicles (EVs) estimated to not have home charging within the selected area, number of EVs that also do not have sufficient public Level 2 charging within an 1/8th of a mile (or walking distance) from home within the selected areasfh_2mi: Number of single-family homes (SFHs) estimated that are 2 miles from the center of the selected areamfh_2mi: Number of multifamily homes (MFHs) estimated that are 2 miles from the center of the selected areaall_veh2mi: Number of 2024 vehicles estimated that are 2 miles from the center of the selected areavf_home2mi: Number of electric vehicles (EVs) in a 100% EV future estimated to have home charging that are 2 miles from the center of the selected areavf_nohome2: Number of electric vehicles (EVs) estimated to not have home charging that are 2 miles from the center of the selected areaev_home2mi: Number of electric vehicles (EVs) estimated to have home charging that are 2 miles from the center of the selected areaev_nohome2: Number of electric vehicles (EVs) estimated to not have home charging that are 2 miles from the center of the selected areaev_no_2mi: Number of electric vehicles (EVs) estimated to not have home charging and also do not have sufficient public Level 2 or direct-current (DC) fast charging within 2 miles from home that are 2 miles from the center of the selected areaShape_Length: Census tract shape area (square meters)Shape_Area: Census tract shape length (square meters)Data sources: Results are based off model estimates. See the 2025 SB 1000 Staff Report for a full description of data sources and methodology.

Data on resident buyers who are persons that purchased a residential property in a market sale and filed their T1 tax return form: number of and incomes of residential property buyers, sale price, price-to-income ratio by the number of buyers as part of a sale, age groups, first-time home buyer status, buyer characteristics (sex, family type, immigration status, period of immigration, admission category).