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.

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

VITAL SIGNS INDICATOR
Poverty (EQ5)

FULL MEASURE NAME
The share of the population living in households that earn less than 200 percent of the federal poverty limit

LAST UPDATED
January 2023

DESCRIPTION
Poverty refers to the share of the population living in households that earn less than 200 percent of the federal poverty limit, which varies based on the number of individuals in a given household. It reflects the number of individuals who are economically struggling due to low household income levels.

DATA SOURCE
U.S Census Bureau: Decennial Census - http://www.nhgis.org
1980-2000

U.S. Census Bureau: American Community Survey - https://data.census.gov/
2007-2021
Form C17002

CONTACT INFORMATION
vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator)
The U.S. Census Bureau defines a national poverty level (or household income) that varies by household size, number of children in a household, and age of householder. The national poverty level does not vary geographically even though cost of living is different across the United States. For the Bay Area, where cost of living is high and incomes are correspondingly high, an appropriate poverty level is 200% of poverty or twice the national poverty level, consistent with what was used for past equity work at MTC and ABAG. For comparison, however, both the national and 200% poverty levels are presented.

For Vital Signs, the poverty rate is defined as the number of people (including children) living below twice the poverty level divided by the number of people for whom poverty status is determined. The household income definitions for poverty change each year to reflect inflation. The official poverty definition uses money income before taxes and does not include capital gains or non-cash benefits (such as public housing, Medicaid and food stamps).

For the national poverty level definitions by year, see: US Census Bureau Poverty Thresholds - https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-thresholds.html.

For an explanation on how the Census Bureau measures poverty, see: How the Census Bureau Measures Poverty - https://www.census.gov/topics/income-poverty/poverty/guidance/poverty-measures.html.

American Community Survey (ACS) 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

To be consistent across metropolitan areas, the poverty definition for non-Bay Area metros is twice the national poverty level. Data were not adjusted for varying income and cost of living levels across the metropolitan areas.

Households Income Ratio: 10% with High Income to 10% with Low Income: SF: City of Sevastopol data was reported at 8.700 NA in 2023. This stayed constant from the previous number of 8.700 NA for 2022. Households Income Ratio: 10% with High Income to 10% with Low Income: SF: City of Sevastopol data is updated yearly, averaging 10.100 NA from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 11.000 NA in 2018 and a record low of 7.200 NA in 2015. Households Income Ratio: 10% with High Income to 10% with Low Income: SF: City of Sevastopol data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA016: Household Income Ratio: 10% with High Income to 10% with Low Income.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in San Francisco, CA, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 19,470, while the mean income for the highest quintile (20% of households with the highest income) is 552,935. This indicates that the top earners earn 28 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 968,175, which is 175.10% higher compared to the highest quintile, and 4972.65% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for San Francisco median household income. You can refer the same here

Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Republic of Kalmykia data was reported at 8.900 NA in 2023. This records an increase from the previous number of 7.800 NA for 2022. Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Republic of Kalmykia data is updated yearly, averaging 11.300 NA from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 12.600 NA in 2012 and a record low of 7.800 NA in 2022. Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Republic of Kalmykia data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA016: Household Income Ratio: 10% with High Income to 10% with Low Income.

Plan Bay Area 2050 utilized this single data layer to inform the Plan Bay Area 2050 Equity PriorityCommunities (EPC).

This data set was developed using American Community Survey (ACS) 2014-2018 data for eight variables considered.

This data set represents all tracts within the San Francisco Bay Region and contains attributes for the eight Metropolitan Transportation Commission (MTC) Equity Priority Communities tract-level variables for exploratory purposes. These features were formerly referred to as Communities of Concern.

Plan Bay Area 2050 Equity Priority Communities (tract geography) are based on eight ACS 2014-2018 (ACS 2018) tract-level variables:

People of Color (70% threshold) Low-Income (less than 200% of Federal poverty level, 28% threshold) Level of English Proficiency (12% threshold) Seniors 75 Years and Over (8% threshold) Zero-Vehicle Households (15% threshold) Single-Parent Households (18% threshold) People with a Disability (12% threshold) Rent-Burdened Households (14% threshold)

If a tract exceeds both threshold values for Low-Income and People of Color shares OR exceeds thethreshold value for Low-Income AND also exceeds the threshold values for three or more variables, it is a EPC.

Detailed documentation on the production of this feature set can be found in the MTC Equity Priority Communities project documentation.

Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Volgograd Region data was reported at 10.100 NA in 2023. This records an increase from the previous number of 9.500 NA for 2022. Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Volgograd Region data is updated yearly, averaging 10.200 NA from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 12.000 NA in 2006 and a record low of 6.000 NA in 1995. Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Volgograd Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA016: Household Income Ratio: 10% with High Income to 10% with Low Income.

San Francisco County/city, CA - Estimate of Median Household Income for San Francisco County/City, CA was 125456.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, San Francisco County/city, CA - Estimate of Median Household Income for San Francisco County/City, CA reached a record high of 135366.00000 in January of 2022 and a record low of 30166.00000 in January of 1989. Trading Economics provides the current actual value, an historical data chart and related indicators for San Francisco County/city, CA - Estimate of Median Household Income for San Francisco County/City, CA - last updated from the United States Federal Reserve on July of 2025.

VITAL SIGNS INDICATOR
Poverty (EQ5)

FULL MEASURE NAME
The share of the population living in households that earn less than 200 percent of the federal poverty limit

LAST UPDATED
January 2023

DESCRIPTION
Poverty refers to the share of the population living in households that earn less than 200 percent of the federal poverty limit, which varies based on the number of individuals in a given household. It reflects the number of individuals who are economically struggling due to low household income levels.

DATA SOURCE
U.S Census Bureau: Decennial Census - http://www.nhgis.org
1980-2000

U.S. Census Bureau: American Community Survey - https://data.census.gov/
2007-2021
Form C17002

CONTACT INFORMATION
vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator)
The U.S. Census Bureau defines a national poverty level (or household income) that varies by household size, number of children in a household, and age of householder. The national poverty level does not vary geographically even though cost of living is different across the United States. For the Bay Area, where cost of living is high and incomes are correspondingly high, an appropriate poverty level is 200% of poverty or twice the national poverty level, consistent with what was used for past equity work at MTC and ABAG. For comparison, however, both the national and 200% poverty levels are presented.

For Vital Signs, the poverty rate is defined as the number of people (including children) living below twice the poverty level divided by the number of people for whom poverty status is determined. The household income definitions for poverty change each year to reflect inflation. The official poverty definition uses money income before taxes and does not include capital gains or non-cash benefits (such as public housing, Medicaid and food stamps).

For the national poverty level definitions by year, see: US Census Bureau Poverty Thresholds - https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-thresholds.html.

For an explanation on how the Census Bureau measures poverty, see: How the Census Bureau Measures Poverty - https://www.census.gov/topics/income-poverty/poverty/guidance/poverty-measures.html.

American Community Survey (ACS) 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

To be consistent across metropolitan areas, the poverty definition for non-Bay Area metros is twice the national poverty level. Data were not adjusted for varying income and cost of living levels across the metropolitan areas.

This data set represents all urbanized tracts within the San Francisco Bay Region, and contains attributes for the eight Metropolitan Transportation Commission (MTC) Equity Priority Communities (EPC) tract-level variables for exploratory purposes. These features were formerly referred to as Communities of Concern (CoC).MTC 2018 Equity Priority Communities (tract geography) is based on eight ACS 2012-2016 tract-level variables: Persons of Color (70% threshold) Low-Income (less than 200% of Fed. poverty level, 30% threshold) Level of English Proficiency (12% threshold) Elderly (10% threshold) Zero-Vehicle Households (10% threshold) Single Parent Households (20% threshold)Disabled (12% threshold) Rent-Burdened Households (15% threshold) If a tract exceeds both threshold values for Low-Income and Person of Color shares OR exceeds the threshold value for Low-Income AND also exceeds the threshold values for three or more variables, it is a EPC.Detailed documentation on the production of this feature set can be found in the MTC Equity Priority Communities project documentation.

Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Rostov Region data was reported at 14.000 NA in 2023. This records an increase from the previous number of 12.900 NA for 2022. Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Rostov Region data is updated yearly, averaging 13.200 NA from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 14.300 NA in 2018 and a record low of 7.100 NA in 1995. Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Rostov Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA016: Household Income Ratio: 10% with High Income to 10% with Low Income.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in San Francisco Township, Minnesota, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 41,348, while the mean income for the highest quintile (20% of households with the highest income) is 370,661. This indicates that the top earners earn 9 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 675,807, which is 182.32% higher compared to the highest quintile, and 1634.44% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for San Francisco township median household income. You can refer the same here

Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Krasnodar Territory data was reported at 15.700 NA in 2023. This records an increase from the previous number of 15.100 NA for 2022. Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Krasnodar Territory data is updated yearly, averaging 14.700 NA from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 16.600 NA in 2014 and a record low of 10.900 NA in 1998. Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Krasnodar Territory data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA016: Household Income Ratio: 10% with High Income to 10% with Low Income.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in San Francisco County. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in San Francisco County. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in San Francisco County, householders within the 25 to 44 years age group have the highest median household income at $199,547, followed by those in the 45 to 64 years age group with an income of $136,501. Meanwhile householders within the under 25 years age group report the second lowest median household income of $92,681. Notably, householders within the 65 years and over age group, had the lowest median household income at $67,161.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for San Francisco County median household income by age. You can refer the same here

Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Astrakhan Region data was reported at 10.600 NA in 2023. This records an increase from the previous number of 9.000 NA for 2022. Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Astrakhan Region data is updated yearly, averaging 11.000 NA from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 14.900 NA in 2013 and a record low of 4.800 NA in 1995. Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Astrakhan Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA016: Household Income Ratio: 10% with High Income to 10% with Low Income.

Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Republic of Crimea data was reported at 8.200 NA in 2022. This records a decrease from the previous number of 9.700 NA for 2021. Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Republic of Crimea data is updated yearly, averaging 9.000 NA from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 9.800 NA in 2018 and a record low of 7.500 NA in 2015. Households Income Ratio: 10% with High Income to 10% with Low Income: SF: Republic of Crimea data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA016: Household Income Ratio: 10% with High Income to 10% with Low Income.

This data set represents American Community Survey (ACS) 2014-2018 tract information related to Equity Priority Communities (EPCs) for Plan Bay Area 2050+.The Plan Bay Area 2050+ Equity Priority Communities incorporate EPCs identified with 2014-2018 ACS data, as well as EPCs identified with 2018-2022 ACS data into a single consolidated map of Plan Bay Area 2050+ Equity Priority Communities.This data set was developed using American Community Survey 2014-2018 data for eight variables considered.This data set represents all tracts within the San Francisco Bay Region, and contains attributes for the eight Metropolitan Transportation Commission (MTC) Equity Priority Communities tract-level variables for exploratory purposes. Equity Priority Communities are defined by MTC Resolution No. 4217-Equity Framework for Plan Bay Area 2040.As part of the development of the [DRAFT] Equity Priority Communities - Plan Bay Area 2050+ features, the source Census tracts had portions that overlapped either the Pacific Ocean or San Francisco Bay removed. The result is this feature set has fewer Census tracts than the unclipped tract source data.Plan Bay Area 2050+ Equity Priority Communities (tract geography) are based on eight ACS 2014-2018 (ACS 2018) tract-level variables:People of Color (70% threshold)Low-Income (less than 200% of Federal poverty level, 28% threshold)Level of English Proficiency (12% threshold)Seniors 75 Years and Over (8% threshold)Zero-Vehicle Households (15% threshold)Single-Parent Households (18% threshold)People with a Disability (12% threshold)Rent-Burdened Households (14% threshold)If a tract exceeds both threshold values for Low-Income and People of Color shares OR exceeds the threshold value for Low-Income AND also exceeds the threshold values for three or more variables, it is a EPC.Detailed documentation on the production of this feature set can be found in the MTC Equity Priority Communities project documentation.

IntroductionThis metadata is broken up into different sections that provide both a high-level summary of the Housing Element and more detailed information about the data itself with links to other resources. The following is an excerpt from the Executive Summary from the Housing Element 2021 – 2029 document:The County of Los Angeles is required to ensure the availability of residential sites, at adequate densities and appropriate development standards, in the unincorporated Los Angeles County to accommodate its share of the regional housing need--also known as the Regional Housing Needs Allocation (RHNA). Unincorporated Los Angeles County has been assigned a RHNA of 90,052 units for the 2021-2029 Housing Element planning period, which is subdivided by level of affordability as follows:Extremely Low / Very Low (<50% AMI) - 25,648Lower (50 - 80% AMI) - 13,691Moderate (80 - 120% AMI) - 14,180Above Moderate (>120% AMI) - 36,533Total - 90,052NOTES - Pursuant to State law, the projected need of extremely low income households can be estimated at 50% of the very low income RHNA. Therefore, the County’s projected extremely low income can be estimated at 12,824 units. However, for the purpose of identifying adequate sites for RHNA, no separate accounting of sites for extremely low income households is required. AMI = Area Median IncomeDescriptionThe Sites Inventory (Appendix A) is comprised of vacant and underutilized sites within unincorporated Los Angeles County that are zoned at appropriate densities and development standards to facilitate housing development. The Sites Inventory was developed specifically for the County of Los Angeles, and has built-in features that filter sites based on specific criteria, including access to transit, protection from environmental hazards, and other criteria unique to unincorporated Los Angeles County. Other strategies used within the Sites Inventory analysis to accommodate the County’s assigned RHNA of 90,052 units include projected growth of ADUs, specific plan capacity, selected entitled projects, and capacity or planned development on County-owned sites within cities. This accounts for approximately 38 percent of the RHNA. The remaining 62 percent of the RHNA is accommodated by sites to be rezoned to accommodate higher density housing development (Appendix B).Caveats:This data is a snapshot in time, generally from the year 2021. It contains information about parcels, zoning and land use policy that may be outdated. The Department of Regional Planning will be keeping an internal tally of sites that get developed or rezoned to meet our RHNA goals, and we may, in the future, develop some public facing web applications or dashboards to show the progress. There may even be periodic updates to this GIS dataset as well, throughout this 8-year planning cycle.Update History:1/7/25 - Following the completion of the annexation to the City of Whittier on 11/12/24, 27 parcels were removed along Whittier Blvd which contained 315 Very Low Income units and 590 Above Moderate units. Following a joint County-City resolution of the RHNA transfer to the city, 247 Very Low Income units and 503 Above Moderate units were taken on by Whittier. 10/16/24 - Modifications were made to this layer during the updates to the South Bay and Westside Area Plans following outreach in these communities. In the Westside Planning area, 29 parcels were removed and no change in zoning / land use policy was proposed; 9 Mixed Use sites were added. In the South Bay, 23 sites were removed as they no longer count towards the RHNA, but still partially changing to Mixed Use.5/31/22 – Los Angeles County Board of Supervisors adopted the Housing Element on 5/17/22, and it received final certification from the State of California Department of Housing and Community Development (HCD) on 5/27/22. Data layer published on 5/31/22.Links to other resources:Department of Regional Planning Housing Page - Contains Housing Element and it's AppendicesHousing Element Update - Rezoning Program Story Map (English, and Spanish)Southern California Association of Governments (SCAG) - Regional Housing Needs AssessmentCalifornia Department of Housing and Community Development Housing Element pageField Descriptions:OBJECTID - Internal GIS IDAIN - Assessor Identification Number*SitusAddress - Site Address (Street and Number) from Assessor Data*Use Code - Existing Land Use Code (corresponds to Use Type and Use Description) from Assessor Data*Use Type - Existing Land Use Type from Assessor Data*Use Description - Existing Land Use Description from Assessor Data*Vacant / Nonvacant – Parcels that are vacant or non-vacant per the Use Code from the Assessor Data*Units Total - Total Existing Units from Assessor Data*Max Year - Maximum Year Built from Assessor Data*Supervisorial District (2021) - LA County Board of Supervisor DistrictSubmarket Area - Inclusionary Housing Submarket AreaPlanning Area - Planning Areas from the LA County Department of Regional Planning General Plan 2035Community Name - Unincorporated Community NamePlan Name - Land Use Plan Name from the LA County Department of Regional Planning (General Plan and Area / Community Plans)LUP - 1 - Land Use Policy from Dept. of Regional Planning - Primary Land Use Policy (in cases where there are more than one Land Use Policy category present)*LUP - 1 (% area) - Land Use Policy from Dept. of Regional Planning - Primary Land Use Policy (% of parcel covered in cases where there are more than one Land Use Policy category present)*LUP - 2 - Land Use Policy from Dept. of Regional Planning - Secondary Land Use Policy (in cases where there are more than one Land Use Policy category present)*LUP - 2 (% area) - Land Use Policy from Dept. of Regional Planning - Secondary Land Use Policy (% of parcel covered in cases where there are more than one Land Use Policy category present)*LUP - 3 - Land Use Policy from Dept. of Regional Planning - Tertiary Land Use Policy (in cases where there are more than one Land Use Policy category present)*LUP - 3 (% area) - Land Use Policy from Dept. of Regional Planning - Tertiary Land Use Policy (% of parcel covered in cases where there are more than one Land Use Policy category present)*Current LUP (Description) – This is a brief description of the land use category. In the case of multiple land uses, this would be the land use category that covers the majority of the parcel*Current LUP (Min Density - net or gross) - Minimum density for this category (as net or gross) per the Land Use Plan for this areaCurrent LUP (Max Density - net or gross) - Maximum density for this category (as net or gross) per the Land Use Plan for this areaProposed LUP – Final – The proposed land use category to increase density.Proposed LUP (Description) – Brief description of the proposed land use policy.Prop. LUP – Final (Min Density) – Minimum density for the proposed land use category.Prop. LUP – Final (Max Density) – Maximum density for the proposed land use category.Zoning - 1 - Zoning from Dept. of Regional Planning - Primary Zone (in cases where there are more than one zone category present)*Zoning - 1 (% area) - Zoning from Dept. of Regional Planning - Primary Zone (% of parcel covered in cases where there are more than one zone category present)*Zoning - 2 - Zoning from Dept. of Regional Planning - Secondary Zone (in cases where there are more than one zone category present)*Zoning - 2 (% area) - Zoning from Dept. of Regional Planning - Secondary Zone (% of parcel covered in cases where there are more than one zone category present)*Zoning - 3 - Zoning from Dept. of Regional Planning - Tertiary Zone (in cases where there are more than one zone category present)*Zoning - 3 (% area) - Zoning from Dept. of Regional Planning - Tertiary Zone (% of parcel covered in cases where there are more than one zone category present)*Current Zoning (Description) - This is a brief description of the zoning category. In the case of multiple zoning categories, this would be the zoning that covers the majority of the parcel*Proposed Zoning – Final – The proposed zoning category to increase density.Proposed Zoning (Description) – Brief description of the proposed zoning.Acres - Acreage of parcelMax Units Allowed - Total Proposed Land Use Policy UnitsRHNA Eligible? – Indicates whether the site is RHNA Eligible or not. NOTE: This layer only shows those that are RHNA Eligible, but internal versions of this layer also show sites that were not-RHNA eligible, or removed during the development of this layer in 2020 – 2022.Very Low Income Capacity - Total capacity for the Very Low Income level as defined in the Housing ElementLow Income Capacity - Total capacity for the Low Income level as defined in the Housing ElementModerate Income Capacity - Total capacity for the Moderate Income level as defined in the Housing ElementAbove Moderate Income Capacity - Total capacity for the Above Moderate Income level as defined in the Housing ElementRealistic Capacity - Total Realistic Capacity of parcel (totaling all income levels). Several factors went into this final calculation. See the Housing Element (Links to Other Resources above) in the following locations - "Sites Inventory - Lower Income RHNA" (p. 223), and "Rezoning - Very Low / Low Income RHNA" (p231).Income Categories - Income Categories assigned to the parcel (relates to income capacity units)Lot Consolidation ID - Parcels with a unique identfier for consolidation potential (based on parcel ownership)Lot Consolidation Notes - Specific notes for consolidationConsolidation - Adjacent Parcels - All adjacent parcels that are tied to each lot consolidation IDsShape_Length - Perimeter (feet)Shape_Area - Area (sq feet)*As it existed in 2021

This month's Map of the Month shows the locations and number of households that receive housing aid through a United States Department of Housing and Urban Affairs (HUD) program known as the Section 8 Project-Based Rental Assistance Program. Funding that goes to families within these households has expired or is set to expire by the end of February 2019. Under the program, rental assistance contracts provide housing aid to seniors or individuals with disabilities with average incomes typically below the federal poverty limit. Due to the government shutdown, roughly 1,150 contracts between HUD and private owners of multi-tenant buildings are in limbo across the United States. Another 500 contracts are set to expire in January, with another 550 contracts to follow in February. According to the National Low-Income Housing Coalition, should the shutdown persist into February, an estimated 1,500 Bay Area households could face the real prospect of eviction.