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Family Income and Poverty


Children in Poverty (Regions of 20,000 Residents or More), by Race/Ethnicity: 2007-2009 See Source and Notes
(Race/Ethnicity: All)

California Percent
African American/Black 28.6%
Asian American 11.1%
Caucasian/White 8.4%
Hispanic/Latino 25.8%
Native American/Alaska Native 26.7%
Pacific Islander 15.4%
Multiracial 12.4%
Alameda County Percent
African American/Black 32.2%
Asian American 8.4%
Caucasian/White 6.4%
Hispanic/Latino 18.3%
Multiracial 9.0%
Amador County Percent
African American/Black LNE
Asian American LNE
Caucasian/White LNE
Hispanic/Latino LNE
Multiracial LNE
Butte County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 17.0%
Hispanic/Latino 30.4%
Multiracial LNE
Calaveras County Percent
African American/Black LNE
Asian American LNE
Caucasian/White LNE
Hispanic/Latino LNE
Multiracial LNE
Colusa County Percent
African American/Black LNE
Asian American LNE
Caucasian/White LNE
Hispanic/Latino LNE
Multiracial LNE
Contra Costa County Percent
African American/Black 26.1%
Asian American 7.9%
Caucasian/White 6.0%
Hispanic/Latino 19.3%
Multiracial 7.5%
Del Norte County Percent
African American/Black LNE
Asian American LNE
Caucasian/White LNE
Hispanic/Latino LNE
Multiracial LNE
El Dorado County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 7.7%
Hispanic/Latino LNE
Multiracial LNE
Fresno County Percent
African American/Black 46.4%
Asian American 31.5%
Caucasian/White 11.3%
Hispanic/Latino 37.5%
Multiracial 20.3%
Glenn County Percent
African American/Black LNE
Asian American LNE
Caucasian/White LNE
Hispanic/Latino LNE
Multiracial LNE
Humboldt County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 19.4%
Hispanic/Latino LNE
Multiracial LNE
Imperial County Percent
African American/Black LNE
Asian American LNE
Caucasian/White LNE
Hispanic/Latino 30.6%
Multiracial LNE
Kern County Percent
African American/Black 47.0%
Asian American LNE
Caucasian/White 14.4%
Hispanic/Latino 33.7%
Multiracial 14.6%
Kings County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 12.1%
Hispanic/Latino 34.9%
Multiracial LNE
Lake County Percent
African American/Black LNE
Asian American LNE
Caucasian/White LNE
Hispanic/Latino LNE
Multiracial LNE
Lassen County Percent
African American/Black LNE
Asian American LNE
Caucasian/White LNE
Hispanic/Latino LNE
Multiracial LNE
Los Angeles County Percent
African American/Black 28.5%
Asian American 10.9%
Caucasian/White 7.5%
Hispanic/Latino 27.9%
Native American/Alaska Native 22.7%
Pacific Islander LNE
Multiracial 11.7%
Madera County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 5.7%
Hispanic/Latino 33.1%
Multiracial LNE
Marin County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 3.3%
Hispanic/Latino 14.1%
Multiracial LNE
Mendocino County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 18.0%
Hispanic/Latino LNE
Multiracial LNE
Merced County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 20.6%
Hispanic/Latino 34.9%
Multiracial LNE
Monterey County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 9.1%
Hispanic/Latino 24.1%
Multiracial LNE
Napa County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 8.1%
Hispanic/Latino 17.3%
Multiracial LNE
Nevada County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 10.3%
Hispanic/Latino LNE
Multiracial LNE
Orange County Percent
African American/Black 14.6%
Asian American 9.9%
Caucasian/White 4.1%
Hispanic/Latino 22.0%
Multiracial 5.2%
Placer County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 6.6%
Hispanic/Latino 7.3%
Multiracial LNE
Plumas County Percent
African American/Black LNE
Asian American LNE
Caucasian/White LNE
Hispanic/Latino LNE
Multiracial LNE
Riverside County Percent
African American/Black 22.2%
Asian American 11.2%
Caucasian/White 7.8%
Hispanic/Latino 22.5%
Multiracial 12.1%
Sacramento County Percent
African American/Black 31.7%
Asian American 21.1%
Caucasian/White 11.1%
Hispanic/Latino 26.4%
Multiracial 19.1%
San Benito County Percent
African American/Black LNE
Asian American LNE
Caucasian/White LNE
Hispanic/Latino 21.0%
Multiracial LNE
San Bernardino County Percent
African American/Black 28.7%
Asian American 12.6%
Caucasian/White 13.2%
Hispanic/Latino 22.8%
Multiracial 16.7%
San Diego County Percent
African American/Black 24.9%
Asian American 7.8%
Caucasian/White 7.1%
Hispanic/Latino 24.8%
Multiracial 10.3%
San Francisco County Percent
African American/Black LNE
Asian American 10.5%
Caucasian/White 2.6%
Hispanic/Latino 17.5%
Multiracial 8.7%
San Joaquin County Percent
African American/Black 33.0%
Asian American 23.5%
Caucasian/White 9.9%
Hispanic/Latino 25.0%
Multiracial 16.9%
San Luis Obispo County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 8.0%
Hispanic/Latino 16.9%
Multiracial LNE
San Mateo County Percent
African American/Black LNE
Asian American 4.2%
Caucasian/White 4.0%
Hispanic/Latino 18.4%
Multiracial 5.1%
Santa Barbara County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 8.0%
Hispanic/Latino 20.6%
Multiracial LNE
Santa Clara County Percent
African American/Black 16.2%
Asian American 5.7%
Caucasian/White 4.3%
Hispanic/Latino 20.4%
Multiracial 7.2%
Santa Cruz County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 5.3%
Hispanic/Latino 24.6%
Multiracial LNE
Shasta County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 21.8%
Hispanic/Latino LNE
Multiracial LNE
Siskiyou County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 15.9%
Hispanic/Latino LNE
Multiracial LNE
Solano County Percent
African American/Black 26.2%
Asian American 5.3%
Caucasian/White 7.1%
Hispanic/Latino 15.6%
Multiracial 13.7%
Sonoma County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 5.4%
Hispanic/Latino 20.8%
Multiracial 14.7%
Stanislaus County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 12.5%
Hispanic/Latino 27.9%
Multiracial LNE
Sutter County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 9.4%
Hispanic/Latino 33.0%
Multiracial LNE
Tehama County Percent
African American/Black LNE
Asian American LNE
Caucasian/White LNE
Hispanic/Latino LNE
Multiracial LNE
Tulare County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 15.2%
Hispanic/Latino 39.1%
Multiracial LNE
Tuolumne County Percent
African American/Black LNE
Asian American LNE
Caucasian/White LNE
Hispanic/Latino LNE
Multiracial LNE
Ventura County Percent
African American/Black LNE
Asian American 4.1%
Caucasian/White 5.3%
Hispanic/Latino 20.2%
Multiracial 6.6%
Yolo County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 6.2%
Hispanic/Latino 21.7%
Multiracial LNE
Yuba County Percent
African American/Black LNE
Asian American LNE
Caucasian/White 22.6%
Hispanic/Latino LNE
Multiracial LNE

Definition: Estimated percentage of children ages 0-17 living in families with incomes below the federal poverty level, by race/ethnicity (e.g., in 2007-09, 28.6% of African American children ages 0-17 in California lived in poverty). In 2009, a family of two adults and two children was considered in poverty if their annual income fell below $21,756.

Data Source: U.S. Census Bureau, American Community Survey, http://factfinder.census.gov/home/saff/main.html?_lang=en (Apr. 2011).

Footnote: Three-year estimates from ACS are only available for geographic areas with at least 20,000 people. These estimates are based on a survey of the population and are subject to both sampling and nonsampling error. LNE (Low Number Event) refers to estimates that have been suppressed because the confidence interval around the percentage was greater than 10 percentage points. N/A means that data are not available. Some regions listed among the cities under the "Choose Counties, Cities and School Districts" menu are Census Designated Places (CDPs), such as East Los Angeles; CDPs are communities within the unincorporated part of a county.

Learn More About this Topic

Measures of Family Income and Poverty on Kidsdata.org

On kidsdata.org, measures of income and poverty include:

  • Percentage of children ages 0-17 in poverty (i.e., living below the Federal Poverty Level) in general, as well as by race/ethnicity
  • Percentage of children living above and below the poverty level, which was $22,113 for a family of two adults and two children in 2010, by income level and family type
  • Median income (the income level at which half of families earn more, and half earn less), adjusted for inflation

These data are estimates based on the U.S. Census Bureau's American Community Survey (ACS). Depending on the indicator, breakdowns may include:

  1. by City and County (250,000 residents or more), as single-year estimates
  2. by City, School District, and County (20,000 residents or more), as 3-year estimates 
  3. by City, School District, and County (10,000 residents or more), as 5-year estimates
  4. by Legislative District (10,000 residents or more), as 5-year estimates

In addition, Self-Sufficiency Standard data for common types of households with children in California is available. This measure takes into account household composition and county-level variations in the costs of child care, health care, food, housing, out-of-pocket medical expenses, transportation, and other necessary spending.

Adequacy of household income to meet children's basic needs, according to parent reports, are available for the state as a whole, the Bay Area, and Los Angeles County, and are broken out by race/ethnicity for California.

Why This Topic Is Important

Family economic status is closely tied to child health and well being. Low family income can affect the ability of the family to provide the environment and experiences a child needs for optimal cognitive and emotional development, and can contribute to behavioral and social problems, and compound poor physical health (1, 2). Children who experience economic hardship when they are young, or who experience extreme and prolonged hardship, are at greatest risk for poor outcomes (1). Not only does poverty affect health, but there is a health gradient along the economic spectrum, so that health status improves as income levels increase. For example, the health of those in the middle-income range tends to be inferior to the health of those in higher income groups (3). The effects of poverty and the stress associated with it can extend to later life, contributing to an increased risk for dropping out of school, poor adult health, poor employment outcomes, and low income (1, 2).

Households headed by single parents or parents with low education levels generally have lower earning capacity and are more likely to be low income than other households (1, 2). African American/Black, Latino, and American Indian children experience economic hardship at higher rates than white or Asian children, due in large part to a higher prevalence of risk factors such as single parenthood and low parent education (1). It is estimated that family economic hardship costs the U.S. up to $500 billion annually in health care spending, lost labor productivity, and criminal justice spending (1).

For more information on Family Income and Poverty please see kidsdata.org’s Research & Links section.

Sources for this narrative:

  1. National Center for Children in Poverty. (2009). Ten important questions about children and economic hardship. Retrieved from: http://www.nccp.org/publications/pub_829.html#question7
  2. Redd, Z., Karver, T. S., Murphey, D., Moore, K. A., & Knewstrub, D. (2011). Two generations in poverty: Status and trends among parents and children in the United States, 2000-2010 (Child Trends Research Brief No. 2011-25). Retrieved from: http://www.childtrends.org/Files//Child_Trends-2011_11_28_RB_PovertyStatusTrends.pdf
  3. World Health Organization. (2008). Commission on social determinants of health, final report. Retrieved from: http://www.who.int/social_determinants/thecommission/finalreport/en/index.html

Policy Implications

Family poverty has many causes and dimensions, many of which public policy can address. Maintaining a public safety net for children whose parents do not have the resources to provide adequate food, clothing, health care, and shelter can mitigate some of the effects of poverty. Parental education and employment strategies, as well as tax policy and child support enforcement, have the potential to help lift families out of poverty. Preventing a child from growing up in poverty requires a broad policy strategy targeting diverse root causes.

According to research and subject experts, policies that could influence family income and poverty include:

  • Restoring and maintaining CalWORKS/Temporary Assistance to Needy Families cash assistance and work support to families, so that benefits support an adequate living standard and families can successfully transition from welfare to work (1)
  • Reforming state budget, taxation, and revenue policy, which would put less pressure on social services during lean budget years (2, 3)
  • Preserving public health insurance coverage for children, including immigrant children (4)
  • Boosting CalFresh (Food Stamps) enrollment for eligible families, through outreach and elimination of administrative barriers (1, 5)
  • Maintaining state and federal funding for subsidized child care and early childhood programs for low-income working families (6)
  • Strengthening child support enforcement programs that work effectively with non-custodial parents and ensure that support reaches the families that need it (7)
  • Providing tax incentives and funding to enhance job training and economic development programs, targeting higher-wage jobs and industries that pay workers enough to support a family (6)

For more policy ideas and information on this topic see kidsdata.org’s Research & Links section or visit the Urban Institute, California Budget Project, Center for Law and Social Policy, or the Center on Budget and Policy Priorities. Also see Policy Implications on kidsdata.org under Unemployment, Housing Affordability, and Homelessness.

Sources for this narrative:

  1. Pavetti, et al. (2010). Creating a safety net that works when the economy doesn’t: The role of the food stamp and TANF programs. Center on Budget and Policy Priorities. Retrieved from:  http://www.urban.org/uploadedpdf/412068_food_stamps_tanf.pdf
  2. Bedsworth, et al. (2010). California 2025: Planning for a better future. Public Policy Institute of California. Retrieved from: http://www.ppic.org/content/pubs/report/R_610TGR.pdf            
  3. California Budget Project. (2010). Searching for balance: The social and economic context of the Governor’s proposed 2010-11 budget. Retrieved from: http://www.cbp.org/pdfs/2010/100202_Searching_for_Balance.pdf
  4. 100% Campaign. (2009). The importance of providing health coverage to all children. Retrieved from: http://www.100percentcampaign.org/fs/resource:id/_a_/disposition=attachment/_a_/xkozkudej1hlrk/xy51tm9qkvlrna?_c=zcq00pv753hsfd
  5. California Budget Project. (2009). Food within reach: Strategies for increasing participation in the food stamp program in California. Retrieved from: http://cbp.org/pdfs/2009/091221_Food_Stamps.pdf
  6. Edelman, et al. (2010). Reducing poverty and economic distress after ARRA: Next steps for short-term recovery and long-term economic security. Urban Institute. Retrieved from: http://www.urban.org/uploadedpdf/412150-next-steps-ARRA.pdf
  7. Wheaton, et al. (2007). The potential impact of increasing child support payments to TANF families. Urban Institute. Retrieved from: http://www.urban.org/UploadedPDF/411595_child_support.pdf

How Children Are Faring

In 2010, an estimated 22% of California children lived below the Federal Poverty Level (FPL) of $22,113 annually for a family of four with two children. The percentage of California children living below FPL had declined from 2003 to 2007, but increased between 2008 and 2010. This measure underestimates the extent of poverty, however, as the Federal Poverty Level does not take into account regional variations in the cost of living or the relative costs of basic needs like housing, health care, and child care. Therefore, families may earn more than the poverty level and still struggle to make ends meet.

Another measure related to income and poverty is the Family Economic Self-Sufficiency Standard, which represents the estimated amount of money needed to adequately meet basic needs. It takes into account a range of costs that a family faces on a daily basis, as well as household composition and county-level variations in costs. In 2011, the Self-Sufficiency Standard for a family of two adults and one infant ranged from $41,611 in Tulare County to $76,588 in Marin County. Between 2008 and 2011, the Self-Sufficiency Standard increased in the vast majority of counties for the household types shown on kidsdata.org. (Self-sufficiency data for 156 household types in each California county are available at Insight Center for Community Economic Development.)

A child's likelihood of living in poverty varies by race/ethnicity and family structure. For example, in 2009 in California, 30.7% of Native American children, 29.4% of African American/Black children, and 27.5% of Latino/Hispanic children lived below the Federal Poverty Level, compared to 9.0% of Caucasian/White children and 11.7% of Asian American children. Among California children living in single-parent vs. two-parent households, more than one-third (37.2%) of children in single-parent families lived below the FPL in 2010, compared to 13.6% of children living with two parents.

In California, the median family income in 2009 was $67,038, and ranged at the county level from $102,620 in San Mateo County to $44,543 in Tulare County. Among large cities, median family income was highest in San Francisco ($86,713) and lowest in Fresno ($48,518).

About one in four children (26%) in California has parents who believe their household income is “not quite enough” or “not nearly enough” to pay for their child’s basic needs, such as food, clothing, and shelter. Parents of African American/Black children are more likely (43%) to report their household income is “not quite enough” or “not nearly enough” to pay for their children’s basic needs than parents of Latino/Hispanic (32%), Asian/Pacific Islander (20%), and White (13%) children.

Research and Links

Websites with Related Information

Key Reports

County/Regional Reports