VITAL SIGNS INDICATOR

Housing Production (LU4)

FULL MEASURE NAME

Produced housing units by unit type

LAST UPDATED

February 2023

DESCRIPTION

Housing production is measured in terms of the number of units that local jurisdictions produces throughout a given year. The annual production count captures housing units added by new construction and annexations, subtracts demolitions and destruction from natural disasters, and adjusts for units lost or gained by conversions.

DATA SOURCE

California Department of Finance, Form E-8 - http://www.dof.ca.gov/Forecasting/Demographics/Estimates/E-8/

1990-2010

California Department of Finance, Form E-5 - http://www.dof.ca.gov/Forecasting/Demographics/Estimates/E-5/

2011-2022

U.S. Census Bureau Population and Housing Unit Estimates - https://www.census.gov/programs-surveys/popest.html

2000-2021

CONTACT INFORMATION

vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)

Single-family housing units include single detached units and single attached units. Multi-family housing includes two to four units and five plus or apartment units.

Housing production data for the region, counties, and cities for each year is the difference of annual housing unit estimates from the California Department of Finance. Housing production data for metropolitan areas for each year is the difference of annual housing unit estimates from the Census Bureau’s Population Estimates Program. CA Department of Finance data uses an annual cycle between January 1 and December 31, whereas U.S. Census Bureau data uses an annual cycle from April 1 to March 31 of the following year.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

The State of California has experienced a series of persistent and destructive wildfires from 2014 to 2024, which have impacted the State’s sub-county population trends and housing. These wildfires have caused significant damage to many structures, resulting in displacement of residents and the demolition of homes. The map provides a detailed visual representation of the extent of housing units lost due to wildfires from 2014 to 2024 across California.From 2014 to 2024, there were 94,397 total wildfires in California resulting in the loss of 36,404 housing structures. Single Family Homes accounted for the most losses with 27,598 structures, followed by Mobile Homes with the loss of 8,289 structures, and Multi-Family Homes with 517 structures.2018 was the most devastating fire year with the loss of 16,596 homes. The total percent loss of California’s housing stock in 2018 was -0.118% of the 14,157,502 homes in the state. The Camp Fire in Paradise accounted for 13,972 of the total loss homes in 2018.While wildfires affected 48 out of the 58 California counties, three counties suffered the most significant housing losses. Butte County experienced the most substantial loss of homes due to wildfires, with a total of 15,899 structures destroyed. Sonoma County ranked second with the loss of 5,824 homes, followed by Lake County, which lost 1,903 homes.

NOTE: This map only includes Single Family, Mobile, and Multi-Family housing structures. This map does not include any housing structures with attached commercial business use. Data for the Fire Perimeter layer was last updated December 21, 2023.For more information about the wildfire data, please visit the CalFire webpage.

To view more data from the State of California Department of Finance, visit the Demographic Research Unit Data Hub.

Because the 2020 Census relationship files released by the Census Bureau did not include population or housing unit percentage allocations, alternative methodologies to allocate population and housing units between 2010 and 2020 Census tracts were tested. The methodology selected by DRU was to use building footprints and residential parcels at the 2020 Census block level to allocate population and housing units.

VITAL SIGNS INDICATOR
Housing Production (LU4)

FULL MEASURE NAME
Produced housing units by unit type

LAST UPDATED
February 2023

DESCRIPTION
Housing production is measured in terms of the number of units that local jurisdictions produces throughout a given year. The annual production count captures housing units added by new construction and annexations, subtracts demolitions and destruction from natural disasters, and adjusts for units lost or gained by conversions.

DATA SOURCE
California Department of Finance, Form E-8 - http://www.dof.ca.gov/Forecasting/Demographics/Estimates/E-8/
1990-2010

California Department of Finance, Form E-5 - http://www.dof.ca.gov/Forecasting/Demographics/Estimates/E-5/
2011-2022

U.S. Census Bureau Population and Housing Unit Estimates - https://www.census.gov/programs-surveys/popest.html
2000-2021

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Single-family housing units include single detached units and single attached units. Multi-family housing includes two to four units and five plus or apartment units.

Housing production data for the region, counties, and cities for each year is the difference of annual housing unit estimates from the California Department of Finance. Housing production data for metropolitan areas for each year is the difference of annual housing unit estimates from the Census Bureau’s Population Estimates Program. CA Department of Finance data uses an annual cycle between January 1 and December 31, whereas U.S. Census Bureau data uses an annual cycle from April 1 to March 31 of the following year.

The Census Bureau released revised delineations for urban areas on December 29, 2022. The new criteria (contained in this Federal Register Notice) is based primarily on housing unit density measured at the census block level. The minimum qualifying threshold for inclusion as an urban area is an area that contains at least 2,000 housing units or has a population of at least 5,000 persons. It also eliminates the classification of areas as “urban clusters/urbanized areas”. This represents a change from 2010, where urban areas were defined as areas consisting of 50,000 people or more and urban clusters consisted of at least 2,500 people but less than 50,000 people with at least 1,500 people living outside of group quarters. Due to the new population thresholds for urban areas, 36 urban clusters in California are no longer considered urban areas, leaving California with 193 urban areas after the new criteria was implemented.

The State of California experienced an increase of 1,885,884 in the total urban population, or 5.3%. However, the total urban area population as a percentage of the California total population went down from 95% to 94.2%. For more information about the mapped data, download the Excel spreadsheet here.

Please note that some of the 2020 urban areas have different names or additional place names as a result of the inclusion of housing unit counts as secondary naming criteria.

Please note there are four urban areas that cross state boundaries in Arizona and Nevada. For 2010, only the parts within California are displayed on the map; however, the population and housing estimates represent the entirety of the urban areas. For 2020, the population and housing unit estimates pertains to the areas within California only.

Data for this web application was derived from the 2010 and 2020 Censuses (2010 and 2020 Census Blocks, 2020 Urban Areas, and Counties) and the 2016-2020 American Community Survey (2010 -Urban Areas) and can be found at data.census.gov.

For more information about the urban area delineations, visit the Census Bureau's Urban and Rural webpage and FAQ.

To view more data from the State of California Department of Finance, visit the Demographic Research Unit Data Hub.

Graph and download economic data for All-Transactions House Price Index for Oakland-Berkeley-Livermore, CA (MSAD) (ATNHPIUS36084Q) from Q2 1975 to Q3 2025 about Oakland, appraisers, CA, HPI, housing, price index, indexes, price, and USA.

Graph and download economic data for All-Transactions House Price Index for Los Angeles-Long Beach-Glendale, CA (MSAD) (ATNHPIUS31084Q) from Q1 1975 to Q3 2025 about Los Angeles, appraisers, CA, HPI, housing, price index, indexes, price, and USA.

The once-a-decade count, known as the Census, has significant and long-lasting consequences. An accurate census count is essential as it determines congressional representation, realigns legislative and congressional districts, and informs the allocation of hundreds of billions of dollars in federal funding. The Census Count Question Resolution (CQR) provides an opportunity for local governments to request a review of their jurisdiction’s census counts and boundaries. This review helps to ensure that housing and population counts are allocated to the correct tabulation blocks.

In support of the 2020 CQR operation, the California Department of Finance, Demographic Research Unit has produced a tool to help identify areas of concern. In 2010, California submitted responses from 23 jurisdictions across eight counties. We hope to increase participation in the 2020 CQR operation by empowering jurisdictions that may lack the time, technology, or staff to research potential CQR cases and provide them with pre-generated cases and supplementary material. Please visit the 2020 California CQR Explorer Hub Page to find out more.

When owners or developers subdivide their land in certain zoning areas, they can pay a fee instead of providing MIHU units. This data reveals the subdivisions that paid fees on how many lots in which zoned areas.

Graph and download economic data for All-Transactions House Price Index for San Francisco-San Mateo-Redwood City, CA (MSAD) (ATNHPIUS41884Q) from Q3 1975 to Q3 2025 about San Francisco, appraisers, CA, HPI, housing, price index, indexes, price, and USA.

The Financial Information Return captures detailed financial data from municipalities. This includes data on

• revenue (including taxation)
• expenses (for both operating and capital)
• reserves
• development charges

The data is collected on an annual basis.

"https://efis.fma.csc.gov.on.ca/fir/index.php/open-data/fir-by-schedule-and-year/">Financial Information Return

VITAL SIGNS INDICATOR

Population (LU1)

FULL MEASURE NAME

Population estimates

LAST UPDATED

February 2023

DESCRIPTION

Population is a measurement of the number of residents that live in a given geographical area, be it a neighborhood, city, county or region.

DATA SOURCE

California Department of Finance: Population and Housing Estimates - http://www.dof.ca.gov/Forecasting/Demographics/Estimates/

Table E-6: County Population Estimates (1960-1970)

Table E-4: Population Estimates for Counties and State (1970-2021)

Table E-8: Historical Population and Housing Estimates (1990-2010)

Table E-5: Population and Housing Estimates (2010-2021)

Bay Area Jurisdiction Centroids (2020) - https://data.bayareametro.gov/Boundaries/Bay-Area-Jurisdiction-Centroids-2020-/56ar-t6bs

Computed using 2020 US Census TIGER boundaries

U.S. Census Bureau: Decennial Census Population Estimates - http://www.s4.brown.edu/us2010/index.htm- via Longitudinal Tract Database Spatial Structures in the Social Sciences, Brown University

1970-2020

U.S. Census Bureau: American Community Survey (5-year rolling average; tract) - https://data.census.gov/

2011-2021

Form B01003

Priority Development Areas (Plan Bay Area 2050) - https://opendata.mtc.ca.gov/datasets/MTC::priority-development-areas-plan-bay-area-2050/about

CONTACT INFORMATION

vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)

All historical data reported for Census geographies (metropolitan areas, county, city and tract) use current legal boundaries and names. A Priority Development Area (PDA) is a locally-designated area with frequent transit service, where a jurisdiction has decided to concentrate most of its housing and jobs growth for development in the foreseeable future. PDA boundaries are current as of December 2022.

Population estimates for Bay Area counties and cities are from the California Department of Finance, which are as of January 1st of each year. Population estimates for non-Bay Area regions are from the U.S. Census Bureau. Decennial Census years reflect population as of April 1st of each year whereas population estimates for intercensal estimates are as of July 1st of each year. Population estimates for Bay Area tracts are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Estimates of population density for tracts use gross acres as the denominator.

Population estimates for Bay Area tracts and PDAs are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Population estimates for PDAs are allocated from tract-level Census population counts using an area ratio. For example, if a quarter of a Census tract lies with in a PDA, a quarter of its population will be allocated to that PDA. Estimates of population density for PDAs use gross acres as the denominator. Note that the population densities between PDAs reported in previous iterations of Vital Signs are mostly not comparable due to minor differences and an updated set of PDAs (previous iterations reported Plan Bay Area 2040 PDAs, whereas current iterations report Plan Bay Area 2050 PDAs).

The following is a list of cities and towns by geographical area:

Big Three: San Jose, San Francisco, Oakland

Bayside: Alameda, Albany, Atherton, Belmont, Belvedere, Berkeley, Brisbane, Burlingame, Campbell, Colma, Corte Madera, Cupertino, Daly City, East Palo Alto, El Cerrito, Emeryville, Fairfax, Foster City, Fremont, Hayward, Hercules, Hillsborough, Larkspur, Los Altos, Los Altos Hills, Los Gatos, Menlo Park, Mill Valley, Millbrae, Milpitas, Monte Sereno, Mountain View, Newark, Pacifica, Palo Alto, Piedmont, Pinole, Portola Valley, Redwood City, Richmond, Ross, San Anselmo, San Bruno, San Carlos, San Leandro, San Mateo, San Pablo, San Rafael, Santa Clara, Saratoga, Sausalito, South San Francisco, Sunnyvale, Tiburon, Union City, Vallejo, Woodside

Inland, Delta and

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Record level information on various "green" initiatives for rental housing projects, belonging to the Investment in Affordable Housing (IAH) program of the IA-Extension program. For example, this dataset indicates whether a new rental housing unit is an energy efficient build. The case number can be linked back to the Grants Ontario - Affordable Housing Information Management System dataset for further project information, including funding and location.

*[IA]: Investment in Affordable Housing

On May 1, the California Department of Finance released population estimates updated through the end of year 2016, which include detailed data on housing production for the San Francisco Bay Region. While a single year is just one data point and may not necessarily be indicative of long-term trends, this data set is still useful to understand how the robust regional economy is affecting housing production trends in recent months.The June 2017 map of the month highlights how 2016 housing production compares to the annualized housing forecast from the Draft Plan Bay Area 2040 by identifying how many years it will take cities, at the current rate, to reach the year 2040 forecast. While some cities are on pace or even ahead of schedule to meet the forecast, numerous jurisdictions are way behind – many by centuries.

This dataset measures satisfaction with the services provided to municipalities through MMAH's regional offices.

Dataset includes the following information (where available)

• Line of Business
• Year
• Region
• Overall Satisfaction
• Service 1 - Service 11
• Frequency
• Value 1 - Value 14
• Accessibility
• Time
• Information
• Knowledge
• Courtesy
• Fair
• Follow through
• Accuracy
• Current
• Extra Mile
• Engaged
• Professional
• In Person
• Online
• Association
• Email
• Meeting
• Mail
• Telephone
• Web

• Teleconference

  *[MMAH]: Ministry of Municipal Affairs and Housing

The U.S. Constitution mandates that the federal government count all persons living in the United States every ten years. The census is critical to states because its results are used to reapportion seats in the U.S. House of Representatives; guide redistricting; and form the basis for allocating federal funds, such as those used for schools, health services, child care, highways, and emergency services.

In response to long-standing concerns about the accuracy of census data and about a possible undercount, a group of researchers conducted the California Neighborhoods Count (CNC) — the first-ever independent, survey-based enumeration to directly evaluate the accuracy of the U.S. Census Bureau's population totals for a subset of California census blocks.

This 2020 research was intended to produce parallel estimates of the 2020 Census population and housing unit totals at the census block level, employing the same items as the census and using enhanced data collection strategies and exploration of imputation methods. Although the CNC was intended to largely replicate census data collection processes, there were a few methodological differences: For example, much of the address canvassing for the 2020 Census was done in-office, whereas the CNC team undertook a complete in-person address-listing operation that included interviews with residents and door-to-door verification of each structure.

In this report, the researchers detail their methodology and present the enumeration results. They compare the 2020 Census counts with the CNC estimates, describe limitations of their data collection effort, and offer considerations for future data collection.

San Francisco Bay Region housing production accelerated in 2014, reflecting an ongoing recovery of the region’s housing market. Yet this recovery remains uneven, according to an Metropolitan Transportation Commission analysis of California Department of Finance data.In order to get a sense of how actual city housing production compares to the Plan Bay Area forecasts, this map was developed to indicate the year a city would be expected to reach its 2040 housing unit projection in the Plan – assuming that the city’s 2014 housing production rate continues unabated over the coming years. Notably, the region’s two largest cities, San Jose and San Francisco, are on track to produce the level of housing envisioned in Plan Bay Area – if their relatively rapid year 2014 housing production rate continues in the years to come. The results are more mixed in the East Bay. Communities such as Dublin, Brentwood, and Antioch producing housing much faster than envisioned in the Plan; in stark contrast, inner East Bay communities like Oakland and Fremont would not meet their 2040 housing forecast until the mid-to-late-2100s at their current rate of production.

See how mortgage loan limits in Sacramento County have evolved over time. This historical chart shows conventional, FHA, VA, and USDA limits for 1-4 unit properties. See local market trends and understand how loan limit increases have changed what's it like to buy a home in the area.

VITAL SIGNS INDICATOR Daily Miles Traveled (T15)

FULL MEASURE NAME Per-capita vehicle miles traveled

LAST UPDATED July 2017

DESCRIPTION Daily miles traveled, commonly referred to as vehicle miles traveled (VMT), reflects the total and per-person number of miles traveled in personal vehicles on a typical weekday. The dataset includes metropolitan area, regional and county tables for per-capita vehicle miles traveled.

DATA SOURCE California Department of Transportation: California Public Road Data/Highway Performance Monitoring System 2001-2015 http://www.dot.ca.gov/hq/tsip/hpms/datalibrary.php

California Department of Finance: Population and Housing Estimates Forms E-8 and E-5 2001-2015 http://www.dof.ca.gov/research/demographic/reports/estimates/e-8/ http://www.dof.ca.gov/research/demographic/reports/estimates/e-5/2011-20/view.php

U.S. Census Bureau: Summary File 1 2010 http://factfinder2.census.gov

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) Vehicle miles traveled reflects the mileage accrued within the county and not necessarily the residents of that county; even though most trips are due to local residents, additional VMT can be accrued by through-trips. City data was thus discarded due to this limitation and the analysis only examine county and regional data, where through-trips are generally less common.

The metropolitan area comparison was performed by summing all of the urbanized areas within each metropolitan area (9-nine region for the San Francisco Bay Area and the primary MSA for all others). For the metro analysis, no VMT data is available outside of other urbanized areas; it is only available for intraregional analysis purposes.

VMT per capita is calculated by dividing VMT by an estimate of the traveling population. The traveling population does not include people living in institutionalized facilities, which are defined by the Census. Because institutionalized population is not estimated each year, the proportion of people living in institutionalized facilities from the 2010 Census was applied to the total population estimates for all years.

India CA: Disbursements: CE: SS: Housing data was reported at 10,467.000 INR mn in 2020. This records a decrease from the previous number of 12,247.400 INR mn for 2019. India CA: Disbursements: CE: SS: Housing data is updated yearly, averaging 5,476.600 INR mn from Mar 1998 (Median) to 2020, with 23 observations. The data reached an all-time high of 12,647.800 INR mn in 2018 and a record low of 2,240.600 INR mn in 2006. India CA: Disbursements: CE: SS: Housing data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s India – Table IN.FA018: Consolidated Fund of India: Capital Account: Dibursement.