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Methodology
Child Population

Notes on Source Data

IMPORTANT NOTE: The following methodology may include references to report features not available on the public site version. On the public site, masking is performed to protect the privacy of individuals served by CDSS and comply with CDSS data de-identification guidelines. Values of 1 to 10 and calculations based on values of 1 to 10 are masked ('M' or '*'). In stratified views of the data, additional values (the lowest available) are masked to prevent calculation of values 1 to 10.

NOTE: As of the Quarter 4, 2023 data extract, the Child Population Report uses the CA Department of Finance Complete P-3 2020-2060 Population Projections Race/Ethnicity and Sex by Age for California and Counties based on the 2020 Census. This file is used for annual counts for the years 2020 forward. Annual counts for the years 2010-2019 are based on the Complete P-3 2010-2060 Population Projections Race/Ethnicity and Sex by Age for California and Counties based on the 2010 Census. Data for years 2010-2019 will be updated once the Department of Finance releases the intercensal population estimates. Until then, users will observe differences in the population trends between the two files.

These reports summarize the California Department of Finance annual population estimates and projection by county and by age, race/ethnicity, and gender. The child abuse allegation rates, investigation rates, substantiation rates, entry rates and foster care caseload in care rates data available in other reports on this website are based on these population data.

The following table details the specific population data sources by year:

YearSourceLocation
2000-2009California and its Counties Population by Age, Race/Hispanics, and Gender: 2000-2010https://dof.ca.gov/forecasting/Demographics/estimates/annual-intercensal-population-estimates-by-race-ethnicity-with-age-and-gender-detail/
2010-2019Report P-3: Population Projections by Race/Ethnicity, Detailed Age, and Gender, 2010-2060 - July 2021 Archived version (awaiting DOF update)
2020-forwardReport P-3: Population Projections by Race/Ethnicity, Detailed Age, and Gender, 2020-2060 - July 2023http://dof.ca.gov/Forecasting/Demographics/Projections/

Please note: due to rounding the sum of categories may not equal the total.

Cells containing a period (".") represent a value of zero. In cells representing quotients, a period may also indicate the indeterminate form 0/0.



Methodology
POVERTY POPULATION ESTIMATES

Notes on Source Data

IMPORTANT NOTE: The following methodology may include references to report features not available on the public site version. On the public site, masking is performed to protect the privacy of individuals served by CDSS and comply with CDSS data de-identification guidelines. Values of 1 to 10 and calculations based on values of 1 to 10 are masked ('M' or '*'). In stratified views of the data, additional values (the lowest available) are masked to prevent calculation of values 1 to 10.

The poverty population estimates are computed using poverty data from the U.S. Census Bureau's American Community Survey (ACS) and population data from The California Department of Finance.

Poverty Data

The U.S. Census Bureau's, American Community Survey (ACS) 2018-2022 5-year Estimates. Series B17020 A - I - Poverty Status in the Past 12 Months by Age. Data were queried for the state and each of the 58 counties for children ages 0-17.

https://data.census.gov

* Based on a pooled sample 5-year ACS estimates are more statistically reliable and can provide data for smaller geographies. However, these estimates are less current and cannot be applied reliably to a specific year.

The American Community Survey (ACS) provides population data for seven different race groups (White, Black, Asian, Native Hawaiian/Pacific Islander, Native American, Other Race, and Two or More Races). The sum of these seven mutually exclusive categories is equal to the total population. Consistent with Census methodology, respondents can also separately describe themselves as Hispanic or Latino. Tables in the ACS B17020 series are also available for Hispanics (of all races) and White, non Hispanics. However, Hispanic and Non-Hispanic breakouts are not provided for the other races.

CCWIP Child Population Data

The California Department of Finance (DOF) provides population estimates for seven different race/ethnic groups. White, Black, Hispanic, Asian, Pacific Islander, American Indian/Alaskan Native and Multi-Race. The sum of these mutually exclusive categories is equal to the total population. Hispanics are broken out separately from the other races/ethnicities. For research purposes Asian and Pacific Islanders are grouped into one category Asian/Pacific Islander.

Methods

Using the ACS data, a poverty multiplier was calculated by dividing the population within a specific race in poverty by the total population count (in poverty and not in poverty) for that race. Separate multipliers were created for the state and each of the 58 counties. This multiplier was then applied to the California Department of Finance Population Estimates in order to estimate a population of children in poverty for the state and each of the 58 counties.

*It is important to note that the race categories for these two data sources are not consistent.

The following diagram details which groups from the ACS survey data were grouped/used to estimate the population in poverty for a specific race/ethnicity in the DOF population. Matching categories are color coded.

American Community Survey CA Department of Finance
B17020-A White White
B17020-B Black Black
B17020-C American Indian / Alaskan Native Hispanic
B17020-D Asian Asian / Pacific Islander
B17020-E Native Hawaiian / Other Pacific Islander American Indian / Alaskan Native
B17020-F Other Race Multi-Race
B17020-G Two or More Races
B17020 TOTAL TOTAL (sum of race/ethnicity categories)
B17020-H White, Not Hispanic or Latino
B17020-I Hispanic or Latino

Please note: These tables are designed to provide an estimate of the population of children (ages 0-17) living in poverty for California and its 58 counties by race/ethnicity. Although the process utilizes the best available data for this purpose, there are limitations associated with this methodology. First, the ACS data are based on a sample and are subject to both sampling and non-sampling variability. Second, although more statistically reliable, multiyear ACS estimates do not provide data regarding specific years, rather only pooled values over a specific period of time. Therefore, the estimates do not capture annual changes in the actual proportions of children in poverty within a specific race/ethnicity group over time. Rather, they represent what would be expected proportionally given changes in the total size of a population of a specific race/ethnic group.

Cells containing a period (".") represent a value of zero. In cells representing quotients, a period may also indicate the indeterminate form 0/0.

Note: Cells containing a period (".") occur when a multiplier is missing because it cannot be calculated using ACS data (due to small sample sizes).