This table contains data on income inequality. The primary measure is the Gini index – a measure of the extent to which the distribution of income among families/households within a community deviates from a perfectly equal distribution. The index ranges from 0.0, when all families (households) have equal shares of income (implies perfect equality), to 1.0 when one family (household) has all the income and the rest have none (implies perfect inequality). Index data is provided for California and its counties, regions, and large cities/towns. The data is from 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. Income is linked to acquiring resources for healthy living. Both household income and the distribution of income across a society independently contribute to the overall health status of a community. On average Western industrialized nations with large disparities in income distribution tend to have poorer health status than similarly advanced nations with a more equitable distribution of income. Approximately 119,200 (5%) of the 2.4 million U.S. deaths in 2000 are attributable to income inequality. The pathways by which income inequality act to increase adverse health outcomes are not known with certainty, but policies that provide for a strong safety net of health and social services have been identified as potential buffers. More information about the data table and a data dictionary can be found in the About/Attachments section.

Graph and download economic data for Income Inequality in Orange County, CA (2020RATIO006059) from 2010 to 2023 about Orange County, CA; inequality; Los Angeles; CA; income; and USA.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in California, 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 18,110, while the mean income for the highest quintile (20% of households with the highest income) is 346,847. This indicates that the top earners earn 19 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 627,250, which is 180.84% higher compared to the highest quintile, and 3463.56% 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 California median household income. You can refer the same here

Income Inequality in Monterey County, CA was 13.93021 Ratio in January of 2023, according to the United States Federal Reserve. Historically, Income Inequality in Monterey County, CA reached a record high of 13.93021 in January of 2023 and a record low of 12.47945 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for Income Inequality in Monterey County, CA - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Income Inequality in Santa Cruz County, CA (2020RATIO006087) from 2010 to 2023 about Santa Cruz County, CA; Santa Cruz; inequality; CA; income; and USA.

Income Inequality in Sacramento County, CA was 14.19395 Ratio in January of 2023, according to the United States Federal Reserve. Historically, Income Inequality in Sacramento County, CA reached a record high of 15.11999 in January of 2016 and a record low of 12.04339 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Income Inequality in Sacramento County, CA - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Income Inequality in Humboldt County, CA (2020RATIO006023) from 2010 to 2023 about Humboldt County, CA; inequality; CA; income; and USA.

Income Inequality in Los Angeles County, CA was 19.65721 Ratio in January of 2023, according to the United States Federal Reserve. Historically, Income Inequality in Los Angeles County, CA reached a record high of 19.65721 in January of 2023 and a record low of 16.80820 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Income Inequality in Los Angeles County, CA - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Income Inequality in Sierra County, CA (2020RATIO006091) from 2010 to 2023 about Sierra County, CA; inequality; CA; income; and USA.

New York was the state with the greatest gap between rich and poor, with a Gini coefficient score of 0.52 in 2023. Although not a state, District of Columbia was among the highest Gini coefficients in the United States that year.

Income Inequality in San Bernardino County, CA was 13.19162 Ratio in January of 2023, according to the United States Federal Reserve. Historically, Income Inequality in San Bernardino County, CA reached a record high of 13.90303 in January of 2016 and a record low of 11.66686 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Income Inequality in San Bernardino County, CA - last updated from the United States Federal Reserve on June of 2025.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Orange County, 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 23,564, while the mean income for the highest quintile (20% of households with the highest income) is 380,227. This indicates that the top earners earn 16 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 663,324, which is 174.45% higher compared to the highest quintile, and 2814.99% 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 Orange County median household income. You can refer the same here

Graph and download economic data for Income Inequality in Lake County, CA (2020RATIO006033) from 2010 to 2023 about Lake County, CA; inequality; CA; income; and USA.

Income Inequality in San Diego County, CA was 15.20577 Ratio in January of 2023, according to the United States Federal Reserve. Historically, Income Inequality in San Diego County, CA reached a record high of 15.84577 in January of 2014 and a record low of 13.71198 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Income Inequality in San Diego County, CA - last updated from the United States Federal Reserve on June of 2025.

Graph and download economic data for Income Inequality in Nevada County, CA (2020RATIO006057) from 2010 to 2023 about Nevada County, CA; inequality; CA; income; and USA.

Graph and download economic data for Income Inequality in Mono County, CA (2020RATIO006051) from 2010 to 2023 about Mono County, CA; inequality; CA; income; and USA.

Income Inequality in Santa Barbara County, CA was 18.04523 Ratio in January of 2023, according to the United States Federal Reserve. Historically, Income Inequality in Santa Barbara County, CA reached a record high of 18.04523 in January of 2023 and a record low of 14.97874 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Income Inequality in Santa Barbara County, CA - last updated from the United States Federal Reserve on July of 2025.

This article provides an overview of wealth inequality in Germany during 1300-1850, introducing a novel database. We document four alternating phases of inequality decline and growth. The Black Death (1347-1352) led to inequality decline, until about 1450. Thereafter, inequality rose steadily. The Thirty Years’ War (1618-1648) and the 1627-1629 plague triggered a second phase of inequality reduction. This distinguishes Germany from other European areas where inequality grew monotonically. Inequality growth resumed from about 1700, well before the Industrial Revolution. Our findings offer new material to current debates on the determinants of inequality change in western societies, past and present

Income Inequality in Ventura County, CA was 13.51773 Ratio in January of 2023, according to the United States Federal Reserve. Historically, Income Inequality in Ventura County, CA reached a record high of 13.51773 in January of 2023 and a record low of 12.30313 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Income Inequality in Ventura County, CA - last updated from the United States Federal Reserve on June of 2025.

Graph and download economic data for Income Inequality in Butte County, CA (2020RATIO006007) from 2010 to 2023 about Butte County, CA; Chico; inequality; CA; income; and USA.