Why nearly 20 million American women live below the poverty line — and why the safety net is part of the problem
“Poverty is a policy choice.” — Amy Matsui, Vice President for Income Security and Child Care, National Women’s Law Center (2026)
A Gap That Refuses to Close

In the wealthiest nation in recorded history, nearly 20 million women and girls live below the federal poverty line. That is not a rounding error. It is a structural feature — one built into the architecture of American economic life and reinforced, often unintentionally, by the very policies designed to alleviate it.
The phrase “feminization of poverty” was first coined by sociologist Diana Pearce in a 1978 article documenting that nearly two out of three poor persons over age 16 were women (Pearce, 1978). Nearly five decades later, the gender poverty gap persists with notable stubbornness. According to the U.S. Census Bureau’s 2024 data, 11.6% of all women and girls lived in poverty, compared to 9.6% of males — a two-point differential that translates into millions of lives (U.S. Census Bureau, 2025). Under the more comprehensive Supplemental Poverty Measure (SPM), which accounts for taxes, non-cash benefits, and necessary expenses, the picture darkens further: 13.6% of women and girls lived in poverty in 2024, up dramatically from a record low of 7.9% in 2021 when expanded pandemic-era supports were briefly in effect (National Women’s Law Center [NWLC], 2025).
This article examines the feminization of poverty not as a social grievance but as a structural problem with identifiable mechanisms, measurable data, and testable policy solutions. It draws on U.S. Census Bureau poverty data, Institute for Women’s Policy Research (IWPR) wage analysis, National Academy of Sciences (NAS) poverty measurement research, and a cross-disciplinary body of scholarship on race, class, and intersecting systems of disadvantage.
Historical and Empirical Foundations: Where the Data Begins

The historical record on women’s poverty is both long and contested. While Pearce (1978) identified feminization as an emergent trend, subsequent researchers cautioned against overgeneralization. Fuchs (1986) noted that although feminization of poverty advanced considerably through the 1960s, the share of the poor who were women remained relatively stable through the 1970s and even decreased slightly between 1979 and 1984. Still, long-run trends are unmistakable in their direction.
Using Current Population Survey (CPS) data, Peterson (1987) found that between 1969 and 1978, the number of poor families headed by women with minor children increased by one third — from 1.8 million to 2.7 million — while poor families headed by men declined. By 1983, roughly half of all poor families were headed by women, up from 36% in the early 1970s (as cited in U.S. Census Bureau, n.d.). By 1987, two out of three adults in poverty were women.
Critically, McLanahan et al. (1989) established that the feminization of poverty between 1950 and 1980 resulted not from an absolute decline in women’s economic status but from a relative one. Among working-age adults, the primary driver was the growth of single-parent families. Among elderly women, declining mortality and a greater tendency to live alone — often after the death of a spouse — increased poverty rates relative to men. This distinction matters enormously for policy: it means targeted structural interventions, not simply wage floors, are required.
The empirical baseline today is clear. The U.S. Census Bureau (2025) reports:
- Women’s overall poverty rate (11.6%) consistently exceeds men’s (9.6%).
- Families headed by single women have a poverty rate of 21.8%, compared to 11.0% for single-male-headed families and just 4.3% for married-couple families.
- More than 11.5 million people live below the poverty line in single-mother households, including more than 6.1 million children.
- Adult women living alone face a poverty rate of 20.7%, compared to 16.6% for men living alone.
The data do not speak in whispers. They speak in the voices of 20 million people.
Measuring What We Count: The Official Poverty Measure vs. the Supplemental Poverty Measure

How poverty is measured has direct consequences for who receives help — and for how honestly policymakers and the public can assess progress.
The Official Poverty Measure (OPM), developed in the 1960s under Mollie Orshansky, calculates poverty by comparing pre-tax cash income against a threshold derived from the cost of a minimum food budget multiplied by three. It counts cash income only and excludes non-cash benefits such as SNAP, Medicaid, and housing subsidies (Congress.gov, 2026). This means that government assistance programs are invisible to the OPM when measuring whether they reduce poverty — a methodological flaw with profound political consequences.
The Supplemental Poverty Measure (SPM), developed through a National Academy of Sciences recommendation process and formally adopted by the Census Bureau in 2011, addresses these limitations (Citro & Michael, 1995). The SPM accounts for:
- Non-cash government benefits (SNAP, housing subsidies, school lunches)
- Tax credits (Earned Income Tax Credit, Child Tax Credit)
- Work-related expenses (childcare, transportation, payroll taxes)
- Medical out-of-pocket costs
- Variation in housing costs across geographic areas
Under the SPM, the pandemic-era expansions of 2020–2021 reduced SPM poverty rates to historic lows — women’s SPM poverty reached 7.9% in 2021 — demonstrating that policy interventions can produce measurable, rapid reductions in poverty when adequately funded. The rebound following the expiration of those programs was equally dramatic: poverty rates jumped by the largest single-year increase in more than 50 years between 2021 and 2022, and have remained elevated since (NWLC, 2025).
Both measures confirm the same structural disparity: women, particularly women of color and single mothers, bear a disproportionate poverty burden. The SPM is simply more honest about why — and about what works.
The Single-Parenthood Trap: Structural Risk, Not Moral Failure

No structural factor is more consistently predictive of poverty for women than single parenthood. The data here are unambiguous. According to the NWLC (2025), nearly one in three (30.6%) families headed by single women with children were poor in 2024. This is not primarily a behavioral outcome; it is a structural one.
Consider the arithmetic. A single mother with two children working full-time at median women’s wages ($45,380; U.S. Census Bureau, 2025) must cover childcare, housing, food, healthcare, and transportation with no second income, no shared expenses, and no leave coverage for illness or a child’s school emergency. Childcare alone can exceed $1,000 per month for an infant in many U.S. markets (National Women’s Law Center, 2025). At that income level, with no childcare subsidy and no refundable tax credit sufficient to cover the gap, a single mother may qualify for various means-tested benefits — but face punishing disincentives if her income rises even modestly (discussed in Section 7).
The risk of single-mother poverty is not evenly distributed across race. The feminization of poverty is inseparable from its racialization. Data from the NWLC (2025) show that in 2024:
- 17.8% of Black women lived in poverty
- 19.4% of Native women lived in poverty
- 15.2% of Latinas lived in poverty
- White non-Hispanic women had notably lower rates
Black female-headed households and Hispanic female-headed households face layered disadvantages: occupational segregation into lower-wage industries, greater exposure to housing instability, lower intergenerational wealth due to historical exclusion from asset-building programs such as the GI Bill and homeownership subsidies, and higher rates of medical debt. The single-parenthood vulnerability amplifies every other structural disadvantage a woman of color already carries.
The rise in single-parent households is itself partly a policy outcome. Welfare rules historically penalized marriage — benefit eligibility thresholds created financial disincentives for low-income couples to formalize partnerships — while doing little to expand the affordable housing or childcare infrastructure that makes dual-earner or co-parenting arrangements feasible (Loprest & Nichols, 2011). Policy shaped family structure as much as culture did.
The Persistent Wage Gap: Compounding Loss Over a Lifetime

The gender wage gap is one of the most thoroughly documented phenomena in labor economics. IWPR (2025) reported that in 2024, women who worked full-time year-round earned just 80.9 cents for every dollar earned by men — a decline from 82.7 cents in 2023 and 84 cents in 2022, marking the second consecutive year of deterioration and the largest drop since 1966 (IWPR, 2025). Median annual earnings for women in 2024 were $45,380, compared to $60,020 for men (U.S. Census Bureau, 2025).
The gap widens dramatically along racial lines. IWPR’s analysis shows that in 2024:
- Latina women earned the equivalent of 57.8% of White men’s earnings — $33,620 less per year
- Black women earned the equivalent of approximately 65.4% of White men’s earnings — $28,340 less per year
- White women earned approximately 79.6% of White men’s earnings — $15,500 less per year
- Asian women fared better at approximately 94.2% — still $4,430 less per year (IWPR, 2024)
The wage gap is not adequately explained by education, occupation choice, or hours worked. Research by Levanon et al. (2009) found that when women enter a previously male-dominated occupation in large numbers, wages in that occupation tend to decline — suggesting that the market devalues work precisely because women perform it, a phenomenon termed “occupational feminization and pay devaluation.” Controlling for occupation and industry reduces but does not eliminate the gap, indicating that within-job pay discrimination remains a contributing factor.
The lifetime consequences are enormous. Lower earnings translate directly into lower Social Security benefits — because Social Security payments are calculated on lifetime earnings records — lower retirement savings, lower ability to absorb economic shocks, and lower credit access. IWPR (2024) found that by age 65, 10.4% of women live in poverty compared to 7.4% of men, and 20.1% of women live near the poverty line. The gender wage gap is not merely a workplace injustice; it is a poverty pipeline with a decades-long lag.
The Caregiving Exit: When Leaving the Workforce Becomes Permanent

The labor market understands caregiving as a private choice. The data suggest otherwise.
American women perform a disproportionate share of unpaid caregiving labor — for children, for aging parents, and for ill or disabled family members. IWPR’s analysis of 2023 American Time Use Survey data found persistent and significant gender gaps in time spent on child and elder care, even after controlling for employment status (IWPR, 2025). When paid employment becomes incompatible with caregiving demands — due to inflexible schedules, unaffordable childcare, lack of paid family leave, or a family member’s sudden health crisis — women are far more likely than men to reduce hours, take leave, or exit the workforce entirely.
This “caregiving exit” has compounding consequences:
- Earnings gaps: Interrupted work histories directly reduce lifetime earnings. Each year out of the workforce is a year without contributions to Social Security and employer-sponsored retirement plans.
- Human capital erosion: Skills atrophy during extended workforce absence, reducing re-entry wages.
- Benefit gaps: Part-time and contingent workers — the categories many caregiving women occupy — are disproportionately excluded from employer-sponsored health insurance, retirement plans, and paid leave.
- Poverty in old age: IWPR (2024) found that women’s comparatively higher risk of poverty at age 65 and beyond is directly traceable to caregiving-related workforce interruptions and lower lifetime earnings.
A 2025 report from the National Partnership for Women & Families estimated that if Americans were compensated for unpaid caregiving, the total value would exceed $1.1 trillion annually — a figure that reveals both the scale of this invisible economic contribution and its systematic exclusion from the wages, benefits, and retirement security women receive (Gallagher Robbins & Mason, 2025).
The United States is one of the only wealthy nations without a universal paid family and medical leave policy, a gap that imposes disproportionate costs on women in low-wage jobs, who cannot afford to take unpaid leave and whose employers are least likely to offer paid alternatives.
Benefit Cliffs: How the Safety Net Becomes a Snare

Perhaps the most counterintuitive dimension of the feminization of poverty is the way in which anti-poverty programs themselves can trap low-income women — particularly single mothers — in cycles of economic fragility through what researchers call “benefit cliffs” or the “cliff effect.”
A benefit cliff occurs when a modest increase in income — a small raise, an extra shift, a promotion — pushes a household over the eligibility threshold for one or more means-tested programs, resulting in a net reduction in total resources. The programs most involved in this phenomenon include SNAP (food assistance), TANF (Temporary Assistance for Needy Families), Medicaid, childcare subsidies through the Child Care and Development Fund, and housing assistance (APHSA, 2026).
The mechanics create a perverse incentive structure. As the American Enterprise Institute (2025) analysis illustrates, the simultaneous phase-out ranges of multiple programs — SNAP, EITC, childcare subsidies — overlap at income levels common for single mothers, producing effective marginal tax rates that can exceed 50% or even 80% on additional earnings. In practice, this means that for a single mother of two earning $25,000, a pay raise to $30,000 may eliminate childcare subsidies worth $8,000–$12,000 annually, producing a net loss.
Research by the National Community Reinvestment Coalition (NCRC, 2025), analyzing benefit cliff dynamics for single mothers across six states, found that this trap is not an edge case — it is a routine feature of the safety net as designed. The analysis was conducted specifically for single mothers because they are the primary demographic navigating this terrain (NCRC, 2025).
The cliff is gendered for structural reasons:
- Single mothers are disproportionately the adults in benefit-receiving households.
- Women are overrepresented in the low-wage service jobs — home health aides, childcare workers, retail workers, food service workers — where income volatility is highest and raises are most likely to trigger cliff effects.
- The loss of childcare subsidies in particular falls on the parent who provides primary caregiving — overwhelmingly mothers.
As one benefit recipient described in a Federal Reserve Bank oral history: “The moment I felt stable, they snatched [the benefits] out from under me” (Federal Reserve Communities, 2026).
Proposed 2025 federal budget cuts would significantly expand this trap. The Center on Budget and Policy Priorities (2025) warned that women constitute the majority of adult participants in Medicaid and SNAP — both facing potential major reductions — and a large majority of TANF participants. Cutting these programs without reforming the structural disincentives embedded within them does not reduce dependency; it shifts the cost onto women’s bodies and their children’s futures.
Intersectionality: Race, Class, and Compounding Disadvantage

The feminization of poverty cannot be understood in isolation from race. Intersectionality — a framework developed by legal scholar Kimberlé Crenshaw (1989) to describe how multiple systems of oppression (race, gender, class) interact and compound one another — is not merely an ideological lens here; it is an empirical description of what the data show.
Consider:
- The SPM poverty rate for Black women rose from 18.9% to 21.2% between 2023 and 2024, even as overall poverty rates held steady (NWLC, 2026).
- Latina women face a gender wage gap relative to White men that is nearly three times as large as the gap facing White women.
- Native women have the highest poverty rate among all demographic groups analyzed by the NWLC — 19.4% in 2024 — a figure reflecting the compounded legacies of land dispossession, treaty violations, and systematic exclusion from New Deal-era economic programs.
- Women of color are overrepresented in the direct care workforce — nursing assistants, home health aides, childcare workers — sectors that are simultaneously essential, underpaid, and benefit-poor.
Class interacts with race and gender as well. The concept of the feminization of poverty has been appropriately criticized for sometimes homogenizing “women” as a category, obscuring the vast differences between a middle-class divorced professional and a low-income Black single mother in a deindustrialized city (Gimenez, 1999). Poverty is not equally distributed among all women — its concentration among women who occupy multiple disadvantaged positions (low-income, non-White, single parent, caregiving-responsible) demands that policy respond to that specificity.
Intersectionality also reshapes how caregiving burden operates. Research published in the journal Innovation in Aging (Liu et al., 2023) found significant differences in financial, physical, and emotional caregiving burdens across race-gender intersections, with Black male caregivers facing the highest financial burden and White female caregivers facing disproportionate emotional burden — patterns that defy simple gender-only or race-only frameworks.
The policy implication: universal interventions that treat all women as similarly situated will fail to reach those most at risk. Targeted investments must account for the specific geometry of disadvantage that race, class, and gender create together.
Future Implications: Trajectories That Demand Attention


Several structural trends suggest that the feminization of poverty is not a static problem but one poised to intensify without deliberate intervention.
Aging demography. The United States is aging rapidly. Women constitute three in five seniors living in poverty, with a poverty rate for women 65 and older of 10.8% — higher than for men (NWLC, 2025). As the baby boomer generation ages fully into retirement, the population of elderly women with inadequate Social Security income (a direct artifact of lifetime wage gaps and caregiving exits) will grow. The average monthly Social Security benefit for retired women 65 and older was $1,738.86 as of December 2023, compared to $2,136.42 for men — a $4,772 annual gap that, for women near the poverty threshold, can mean the difference between subsistence and destitution (NWLC, 2025).
Erosion of pandemic-era gains. The extraordinary policy experiment of 2020–2021 — expanded Child Tax Credit, emergency SNAP allotments, enhanced unemployment insurance, ACA subsidy expansion — briefly demonstrated that poverty is, in fact, reducible. The SPM poverty rate for women fell to 7.9% in 2021. Its rapid rebound to 13.6% by 2024 following the expiration of those programs is perhaps the clearest natural experiment in modern U.S. poverty policy history (NWLC, 2025). The lesson is as discouraging as it is instructive: temporary measures produce temporary results.
Climate vulnerability. Emerging research links climate disasters disproportionately to economic harm for women, particularly low-income women of color in climate-exposed regions. Housing instability, food system disruption, and healthcare cost spikes from climate events compound existing poverty risks for populations with no savings buffers.
The care economy reckoning. The COVID-19 pandemic exposed, in ways impossible to ignore, the dependence of the entire economy on unpaid and underpaid care work performed primarily by women. Whether this exposure produces durable policy change — affordable childcare, paid leave, a living wage for care workers — or recedes back into invisibility will significantly shape women’s poverty rates over the next decade.
Proposed safety net restructuring. As of 2025–2026, congressional proposals to dramatically reduce Medicaid, SNAP, and TANF funding — programs in which women constitute a large majority of adult participants — represent perhaps the most immediate structural threat to the material conditions of low-income women in a generation (Center on Budget and Policy Priorities, 2025).
Policy Synthesis: What the Evidence Supports



Any serious policy response to the feminization of poverty must address the structural mechanisms that produce it — not merely their symptoms. The following synthesis draws on cross-ideological evidence and does not advocate for any single partisan framework, but reflects what empirical research identifies as having demonstrated or high-likelihood effect.
Address the wage gap directly. Pay transparency laws, strengthened enforcement of the Equal Pay Act, salary range disclosure requirements, and support for collective bargaining in female-dominated sectors are among the interventions with evidence of effect. IWPR’s analysis suggests the wage gap could be further reduced by structural changes to occupational segregation — steering women into higher-wage occupations and revaluing care work within wage-setting frameworks.
Redesign the safety net to eliminate cliffs. Several states have pioneered graduated benefit reductions — “glide slopes” rather than cliffs — through mechanisms such as extended CHIP eligibility (Florida), graduated childcare subsidy phase-outs (New York, Ohio), and transitional benefit packages (Washington, D.C.). Federal coordination of benefit phase-outs across SNAP, TANF, Medicaid, and childcare subsidies would reduce the compounding cliff effects that trap single mothers at marginal income levels.
Invest in affordable childcare infrastructure. The Child Care and Development Block Grant remains chronically underfunded relative to need. A universal pre-K system or heavily subsidized childcare would reduce the caregiving exit rate, allow single mothers to maintain stable employment, and address one of the primary pathways through which poverty is transmitted intergenerationally.
Enact paid family and medical leave. The United States remains an outlier among peer nations in its absence of a universal paid leave policy. A federal paid family and medical leave program that covers all workers — including part-time and gig workers, who are disproportionately women — would reduce the caregiving exit penalty and preserve lifetime earnings trajectories.
Modernize Social Security to reflect caregiving contributions. Options include Social Security “credits” for years spent as a primary caregiver, higher minimum benefit levels for long-tenure low earners (primarily women), and reforms to survivor benefit calculations to reduce the income cliff widows face at their spouse’s death.
Invest in targeted interventions for women of color. Universal programs are necessary but not sufficient. Targeted investment in HBCUs, tribal colleges, workforce development in communities of color, and community health infrastructure addresses the specific geometry of intersectional disadvantage that universal programs may miss.
Improve poverty measurement and transparency. The Supplemental Poverty Measure should become the primary federal poverty metric for policy purposes, replacing the deeply outdated OPM. SPM data make the impact of government programs visible — which is precisely why broad adoption matters. Policy accountability requires honest measurement.
The evidence is consistent across ideological lines: when government investments support childcare, healthcare, income stability, and wage floors, women’s poverty falls. When those investments are withdrawn, poverty rises. The feminization of poverty is not an immovable social fact. It is a policy outcome — and therefore a policy choice.
References
- American Enterprise Institute. (2025). Stranded by the safety net: How to fix the benefit cliff problem. https://www.aei.org/research-products/report/stranded-by-the-safety-net-how-to-fix-the-benefit-cliff-problem/
- APHSA. (2026). Benefits cliffs resource hub. https://aphsa.org/benefit-cliff-dashboard/
- Center on Budget and Policy Priorities. (2025, April 30). 2025 budget stakes: Proposals would harm women. https://www.cbpp.org/research/poverty-and-inequality/2025-budget-stakes-proposals-would-harm-women
- Citro, C. F., & Michael, R. T. (Eds.). (1995). Measuring poverty: A new approach. National Academy Press.
- Congress.gov. (2026). Poverty in the United States in 2024. https://www.congress.gov/crs-product/R48854
- Crenshaw, K. (1989). Demarginalizing the intersection of race and sex: A Black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics. University of Chicago Legal Forum, 1989(1), 139–167.
- Federal Reserve Communities. (2026). The benefits cliff, explained. https://fedcommunities.org/the-benefits-cliff-explained/
- Fuchs, V. R. (1986). Women’s quest for economic equality. Harvard University Press.
- Gallagher Robbins, K., & Mason, J. (2025, June). If Americans were paid for their caregiving, they would make more than $1.1 trillion. National Partnership for Women & Families. https://nationalpartnership.org/if-americans-were-paid-for-their-caregiving-they-would-make-more-than-1-1-trillion/
- Gimenez, M. E. (1999). The feminization of poverty: Myth or reality? Social Justice, 26(1).
- Institute for Women’s Policy Research. (2024, September). Gender and racial wage gaps worsened in 2023 (Fact Sheet IWPR #C527). https://iwpr.org/wp-content/uploads/2024/09/IWPR-National-Wage-Gap-Fact-Sheet-2024.pdf
- Institute for Women’s Policy Research. (2024, May). Women aged 65+ at higher risk of poverty than men (Quick Figure IWPR #110). https://iwpr.org/wp-content/uploads/2024/05/IWPR-Retirement-Income-Gap-Quick-Figure-2024-1.pdf
- Institute for Women’s Policy Research. (2025, February). Care work after COVID-19 (Quick Figure IWPR #Q114). https://iwpr.org/wp-content/uploads/2025/02/Care-Work-After-COVID-19-quick-figure_February-2025.pdf
- Institute for Women’s Policy Research. (2025, September 10). IWPR’s new national annual women’s wage gap analysis shows second consecutive year of decline. https://iwpr.org/iwprs-new-national-annual-womens-wage-gap-analysis-shows-second-consecutive-year-of-decline-2/
- Levanon, A., England, P., & Allison, P. (2009). Occupational feminization and pay: Assessing causal dynamics using 1950–2000 U.S. Census data. Social Forces, 88(2), 865–891. https://doi.org/10.1353/sof.0.0264
- Liu, R. M., Chi, I., & Wu, S. (2023). Differences in caregiving burden across the intersectionality of race and gender. Innovation in Aging, 7(Suppl 1). https://doi.org/10.1093/geroni/igad104.0801
- Loprest, P., & Nichols, A. (2011). Dynamics of being disconnected from work and TANF. Urban Institute.
- McLanahan, S., Sorenson, A., & Watson, D. (1989). Sex differences in poverty, 1950–1980. Signs: Journal of Women in Culture and Society, 15(1), 102–122.
- National Community Reinvestment Coalition. (2025, November). Trapped by success: How benefits cliffs undermine economic mobility for single mothers. https://ncrc.org/trapped-by-success-how-benefits-cliffs-undermine-economic-mobility-for-single-mothers/
- National Women’s Law Center. (2025). America’s women and the wage gap. https://nationalpartnership.org/wp-content/uploads/2023/02/americas-women-and-the-wage-gap.pdf
- National Women’s Law Center. (2025, September). NWLC resources on poverty, income, and health insurance. https://nwlc.org/resource/nwlc-resources-on-poverty-income-and-health-insurance/
- National Women’s Law Center. (2025). Women in poverty, state by state. https://nwlc.org/resource/women-in-poverty-state-by-state/
- National Women’s Law Center. (2025). National snapshot: Poverty among women and families in 2024. https://nwlc.org/resource/national-snapshot-poverty-among-women-families-in-2024/
- National Women’s Law Center. (2026, March 9). New NWLC data shows poverty rates increased for Black and older women in 2024. https://nwlc.org/press-release/new-nwlc-data-shows-poverty-rates-increased-for-black-and-older-women-in-2024/
- Pearce, D. (1978). The feminization of poverty: Women, work, and welfare. Urban and Social Change Review, 11(1–2), 28–36.
- Peterson, J. (1987). The feminization of poverty. Journal of Economic Issues, 21(1), 329–337.
- U.S. Census Bureau. (n.d.). Changes in poverty measurement: An examination of feminization of poverty. https://www2.census.gov/programs-surveys/popest/about/challenge-program/changesinpovertymeasurement.pdf
- U.S. Census Bureau. (2024). Poverty in the United States: 2023 (P60-283). https://www2.census.gov/library/publications/2024/demo/p60-283.pdf
- U.S. Census Bureau. (2025). Income, poverty, and health insurance coverage in the United States: 2024. https://www.census.gov
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- Women in Academia Report. (2025, October 3). The gender gap in poverty rates in the United States. https://wiareport.com/2025/10/the-gender-gap-in-poverty-rates-in-the-united-states-2/American Enterprise Institute. (2025). Stranded by the safety net: How to fix the benefit cliff problem. https://www.aei.org/research-products/report/stranded-by-the-safety-net-how-to-fix-the-benefit-cliff-problem/
- APHSA. (2026). Benefits cliffs resource hub. https://aphsa.org/benefit-cliff-dashboard/
- Center on Budget and Policy Priorities. (2025, April 30). 2025 budget stakes: Proposals would harm women. https://www.cbpp.org/research/poverty-and-inequality/2025-budget-stakes-proposals-would-harm-women
- Citro, C. F., & Michael, R. T. (Eds.). (1995). Measuring poverty: A new approach. National Academy Press.
- Congress.gov. (2026). Poverty in the United States in 2024. https://www.congress.gov/crs-product/R48854
- Crenshaw, K. (1989). Demarginalizing the intersection of race and sex: A Black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics. University of Chicago Legal Forum, 1989(1), 139–167.
- Federal Reserve Communities. (2026). The benefits cliff, explained. https://fedcommunities.org/the-benefits-cliff-explained/
- Fuchs, V. R. (1986). Women’s quest for economic equality. Harvard University Press.
- Gallagher Robbins, K., & Mason, J. (2025, June). If Americans were paid for their caregiving, they would make more than $1.1 trillion. National Partnership for Women & Families. https://nationalpartnership.org/if-americans-were-paid-for-their-caregiving-they-would-make-more-than-1-1-trillion/
- Gimenez, M. E. (1999). The feminization of poverty: Myth or reality? Social Justice, 26(1).
- Institute for Women’s Policy Research. (2024, September). Gender and racial wage gaps worsened in 2023 (Fact Sheet IWPR #C527). https://iwpr.org/wp-content/uploads/2024/09/IWPR-National-Wage-Gap-Fact-Sheet-2024.pdf
- Institute for Women’s Policy Research. (2024, May). Women aged 65+ at higher risk of poverty than men (Quick Figure IWPR #110). https://iwpr.org/wp-content/uploads/2024/05/IWPR-Retirement-Income-Gap-Quick-Figure-2024-1.pdf
- Institute for Women’s Policy Research. (2025, February). Care work after COVID-19 (Quick Figure IWPR #Q114). https://iwpr.org/wp-content/uploads/2025/02/Care-Work-After-COVID-19-quick-figure_February-2025.pdf
- Institute for Women’s Policy Research. (2025, September 10). IWPR’s new national annual women’s wage gap analysis shows second consecutive year of decline. https://iwpr.org/iwprs-new-national-annual-womens-wage-gap-analysis-shows-second-consecutive-year-of-decline-2/
- Levanon, A., England, P., & Allison, P. (2009). Occupational feminization and pay: Assessing causal dynamics using 1950–2000 U.S. Census data. Social Forces, 88(2), 865–891. https://doi.org/10.1353/sof.0.0264
- Liu, R. M., Chi, I., & Wu, S. (2023). Differences in caregiving burden across the intersectionality of race and gender. Innovation in Aging, 7(Suppl 1). https://doi.org/10.1093/geroni/igad104.0801
- Loprest, P., & Nichols, A. (2011). Dynamics of being disconnected from work and TANF. Urban Institute.
- McLanahan, S., Sorenson, A., & Watson, D. (1989). Sex differences in poverty, 1950–1980. Signs: Journal of Women in Culture and Society, 15(1), 102–122.
- National Community Reinvestment Coalition. (2025, November). Trapped by success: How benefits cliffs undermine economic mobility for single mothers. https://ncrc.org/trapped-by-success-how-benefits-cliffs-undermine-economic-mobility-for-single-mothers/
- National Women’s Law Center. (2025). America’s women and the wage gap. https://nationalpartnership.org/wp-content/uploads/2023/02/americas-women-and-the-wage-gap.pdf
- National Women’s Law Center. (2025, September). NWLC resources on poverty, income, and health insurance. https://nwlc.org/resource/nwlc-resources-on-poverty-income-and-health-insurance/
- National Women’s Law Center. (2025). Women in poverty, state by state. https://nwlc.org/resource/women-in-poverty-state-by-state/
- National Women’s Law Center. (2025). National snapshot: Poverty among women and families in 2024. https://nwlc.org/resource/national-snapshot-poverty-among-women-families-in-2024/
- National Women’s Law Center. (2026, March 9). New NWLC data shows poverty rates increased for Black and older women in 2024. https://nwlc.org/press-release/new-nwlc-data-shows-poverty-rates-increased-for-black-and-older-women-in-2024/
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