This interactive tool analyzes 25 years of demographic and economic trends for single-parent households across race, gender, and geography. Would you like a quick tour to learn how to use all the features?
The Federal Poverty Level (FPL) is used to determine eligibility for many assistance programs. Programs use different percentage thresholds (e.g., 130% FPL for SNAP, 185% FPL for WIC).
| Household Size | 100% FPL | 130% FPL (SNAP Eligible) |
138% FPL (Medicaid Eligible) |
185% FPL (WIC Eligible) |
|---|---|---|---|---|
| 1 person | $15,060 | $19,578 | $20,783 | $27,861 |
| 2 people | $20,440 | $26,572 | $28,207 | $37,814 |
| 3 people | $25,820 | $33,566 | $35,632 | $47,767 |
| 4 people | $31,200 | $40,560 | $43,056 | $57,720 |
| 5 people | $36,580 | $47,554 | $50,480 | $67,673 |
| 6 people | $41,960 | $54,548 | $57,905 | $77,626 |
*Guidelines shown are for the 48 contiguous states and District of Columbia. Alaska and Hawaii have higher thresholds. Updated annually by the Department of Health and Human Services.
Note on Medicaid Expansion: Medicaid expansion is a provision of the Affordable Care Act (ACA) that allows states to extend Medicaid eligibility to nearly all low-income adults with incomes up to 138% of the federal poverty level. As of 2024, 40 states and D.C. have adopted expansion, while 10 states have not.
This dashboard examines trends over a 25-year period to distinguish long-term structural changes from short-term fluctuations. A multi-decade view captures shifts in family formation, labor markets, and social policy implementation, allowing users to assess whether observed changes reflect persistent trends or temporary shocks. This timeframe also spans multiple economic cycles and policy regimes, providing critical context for understanding how single parents' economic security and program participation have evolved over time.
This dashboard uses data from the U.S. Census Bureau Current Population Survey Annual Social and Economic Supplement (CPS ASEC), accessed through IPUMS CPS (Integrated Public Use Microdata Series). The dataset covers survey years 2000–2025, representing income and poverty reference years 1999–2024.
Note on Data Years: CPS ASEC interviews are conducted each spring and ask about income, poverty, and program participation from the prior calendar year. All years displayed in this dashboard reflect the reference year (when income was earned and programs were used), which is the standard convention used by the Census Bureau and other research organizations.
Citation: Sarah Flood, Miriam King, Renae Rodgers, Steven Ruggles, J. Robert Warren, Daniel Backman, Annie Chen, Grace Cooper, Stephanie Richards, Megan Schouweiler, and Michael Westberry. IPUMS CPS: Version 11.0 [dataset]. Minneapolis, MN: IPUMS, 2023. https://doi.org/10.18128/D030.V11.0
Single Parents: Adults aged 15–50 who are unmarried (separated, divorced, widowed, or never married) and have at least one minor child (under age 18) in the household.
Single parent status is determined using marital status, number of children in household, relationship to household head, and parent identifiers to verify custodial status.
Eligibility rates shown on program charts are income-based estimates calculated from family income relative to the Federal Poverty Level (FPL). These estimates capture who would likely qualify based on income alone:
Important: These are simplified income-based estimates. Actual program eligibility may be more restrictive due to asset tests, work requirements, time limits, immigration status, state-specific rules, and categorical requirements not captured in survey data. The gap between eligibility and participation may reflect administrative barriers, lack of awareness, stigma, or policy restrictions beyond income thresholds.
All estimates use ASEC supplement weights to produce nationally and state-representative statistics. For 2014, weights were adjusted by 50% to correct for Census Bureau overweighting in that survey year.
Population counts represent weighted totals. Rates (poverty, employment, program participation) are calculated as weighted averages. Median income is computed using weighted percentiles.
While all dashboard metrics are derived from the Women’s Institute for Science, Equity and Race analysis of the CPS ASEC (2000–2025) via IPUMS, the data is processed through two distinct lenses to maximize statistical reliability across different demographic scales.
Annual Snapshots (Socioeconomic Mode): When filtering by Income, Education, or Marital Status, the dashboard utilizes discrete annual data points. This mode provides a high-resolution look at the current economic landscape. Because these views rely on single-year survey samples, a “Data Caution” banner is triggered if the unweighted respondent count is low ($n < 50$), signaling that the annual estimate should be interpreted as suggestive.
Averaged Trends (Age & Generation Mode): When filtering by Age Group or Generation, the dashboard utilizes 5-year pooled averages (e.g., 2020–2024). Smaller age cohorts, such as parents aged 18–24, can show significant year-to-year survey volatility. By averaging five years of data together, the Women’s Institute for Science, Equity and Race smooths out annual sampling “noise” to provide a more stable and accurate trend. In this mode, population counts reflect the average annual number of individuals in that category over that 5-year span.
The dashboard uses Chart.js for interactive visualizations and PapaParse for CSV data processing. JavaScript dynamically filters and aggregates pre-computed statistics based on user-selected demographics.
Chart Creation: Each chart displays time trends (1999–2024) for the selected demographic group. Charts update automatically when filters change.
Text Interpretations: Narrative text is generated dynamically based on actual data patterns. For small samples (< 2,000 population or < 10 years of data), text focuses on factual observations. For larger samples, text provides policy-relevant analysis.
Disaggregation: Clicking chart titles reveals race/ethnicity breakdowns. Users can compare 1-2 racial/ethnic groups at a time.
Several statistics displayed in the dashboard are derived estimates calculated from multiple data fields rather than measured directly in the CPS.
Estimated Children in Single-Parent Households: Calculated as the weighted single parent population multiplied by the average number of children per parent (population × avg_children). This reflects the number of children living in households headed by the selected single parent population.
Estimated Children in Poverty: Calculated as population × avg_children × poverty_rate. This estimate assumes that children share the poverty status of their parent household — a reasonable proxy, as child poverty is defined at the household level in CPS. However, this is an approximation; the CPS captures the parent's poverty status directly, not each child's independently. Interpret as an order-of-magnitude estimate rather than a precise count.
The Population by Race & Ethnicity and Marital Status Distribution charts display aggregated data across the full 1999–2024 study period rather than a single year. This approach provides more stable estimates, particularly for smaller demographic groups or geographic areas where single-year samples may be unreliable.
Percentages represent the share of total single parent person-years observed across all survey years. For example, if a state shows "60% Black," this means 60% of all single parent observations in that state over 25 years were Black single parents. This method smooths year-to-year sampling variation while accurately reflecting the demographic composition of the population studied.
To ensure data transparency and proper attribution, please use the following citation for any data or visualizations used from this tool:
Primary Data Source: U.S. Census Bureau, Current Population Survey ASEC (2000–2025) via IPUMS CPS, available at www.ipums.org.
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For other inquiries, contact the Women's Institute for Science, Equity and Race (WISER) at wiserpolicy.org