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South Dakota
Statistics on children, youth and families in South Dakota from the Annie E. Casey Foundation and South Dakota KIDS COUNT
Children age 5 to 17 in poverty (1-year estimates) in South Dakota
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Why This Indicator Matters
Growing up poor has wide-ranging and long-lasting repercussions.
Poverty elevates a child's risk of experiencing behavioral, social and emotional and health challenges. Child poverty also reduces skill-building opportunities and academic outcomes, undercutting a young student's capacity to learn, graduate high school and more.
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Poverty elevates a child's risk of experiencing behavioral, social and emotional and health challenges. Child poverty also reduces skill-building opportunities and academic outcomes, undercutting a young student's capacity to learn, graduate high school and more.
Definition and Source
PROVIDER
Definition
The percent of children age 5 to 17 within the school district who are living in families with incomes below 100% of the federal poverty threshold.
Data Source
U.S. Census Bureau, Small Area Income and Poverty Estimates (SAIPE), https://www.census.gov/programs-surveys/saipe.html
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.
SAIPE uses statistical models to create estimates. The models relate 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.
GEOGRAPHY - Corsica 21-2 and Stickney 01-2 consolidated into Corsica-Stickney 21-3 in 2015 and data is not reported for Corsica and Stickney prior to 2015. Shannon County School District 65-1 changed their district name to Oglala Lakota County School District 65-1 and is only reported under Oglala Lakota in this table. Grant-Deuel School District 25-3 dissolved in 2016 and combined with Milkbank School District 25-4, Deuel School District 19-4, and Waverly-South Shore School Disctrict 14-5. LIMITATIONS - This indicator represents an estimate that is expected to have some level of uncertainty. The U.S. Census Bureau does not publish confidence intervals for school district data, and thus should be interpreted with caution in absence of those.
SAIPE uses statistical models to create estimates. The models relate 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.
GEOGRAPHY - Corsica 21-2 and Stickney 01-2 consolidated into Corsica-Stickney 21-3 in 2015 and data is not reported for Corsica and Stickney prior to 2015. Shannon County School District 65-1 changed their district name to Oglala Lakota County School District 65-1 and is only reported under Oglala Lakota in this table. Grant-Deuel School District 25-3 dissolved in 2016 and combined with Milkbank School District 25-4, Deuel School District 19-4, and Waverly-South Shore School Disctrict 14-5. LIMITATIONS - This indicator represents an estimate that is expected to have some level of uncertainty. The U.S. Census Bureau does not publish confidence intervals for school district data, and thus should be interpreted with caution in absence of those.
Last Updated
December 2024