The Annie E. Casey Foundation
Locations

Illinois

Statistics on children, youth and families in Illinois from the Annie E. Casey Foundation and YWCA Metropolitan Chicago

Location

Choose location type
  • Choose locations
Choose location comparison

Choose one:

  • Choose time frame
    To view all years at one time, download raw data.

Choose one:

Choose data type
YWCA Metropolitan Chicago

Change Indicator

Children in poverty in Illinois

Children in poverty

Downloading image...

loading...

Why This Indicator Matters

show more

Definition and Source

PROVIDER

Definition

The number and percent of children under age 18 (0-17) who are living in families with incomes below 100% of the federal poverty threshold.

Data Source

U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) program, SAIPE State and County Estimates, available here.

Notes

The federal poverty thresholds are updated each year by the U.S. Census Bureau and were established in 1964 using guidelines set by the Social Security Administration. Current poverty thresholds can be found here.

NOTE - SAIPE uses statistical models to create estimates. The models relate state and county estimates of income and poverty from the American Community Survey (ACS) to other indicators of income and poverty, including federal income tax returns, SNAP benefits data, the most recent decennial census, intercensal population estimates, Supplemental Security Income data, and economic data from the Bureau of Economic Analysis. These estimates are then combined with direct estimates from the ACS sample to provide figures which are more precise than either data set alone, thus providing consistent and reliable single-year estimates. These model-based single-year estimates are more reflective of current conditions than multi-year survey estimates.
LIMITATIONS - Measures of uncertainty for the poverty estimates are provided in SAIPE in the form of 90% confidence intervals. These intervals were constructed from estimated standard errors. For the model-based estimates, the standard error depends mainly on the uncertainty about the model and the ACS sampling variance. Estimates are considered unreliable if the relative standard error is greater than 30%, and unreliable estimates are reported as N.A.

Last Updated

December 2023