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Americans look to the government to care for older adults with no family

Overview

About six-in-ten adults (59.9%) say the government should primarily help an older adult who has no family. Charities and religious organizations come next at 21.1%, followed by friends and neighbors (11.9%) and private companies (7.1%).


The preference for public support extends to family caregivers. Direct payments to help with caregiving costs are the most-favored federal policy, at 46.3%.

Topline

59.9% say the government should primarily help an older adult who has no family; 21.1% name charities and religious organizations.

Who do you think should primarily provide help to an older adult who does not have any family?

  • Government 59.9%
  • Charities/religious organizations/ non-profit 21.1%
  • Friends/neighbors 11.9%
  • Private companies 7.1%

2026 · base n 1,000 · +/- 3.1%

Verasight PAA Omnibus Survey #2026-051

View source data

Government is the clear first choice

Asked who should primarily help an older adult who does not have any family, 59.9% of adults say the government.

Charities, religious organizations and nonprofits come second at 21.1%, followed by friends and neighbors (11.9%) and private companies (7.1%).

Topline

46.3% most favor direct federal payments to help with caregiving costs, ahead of tax credits at 25.2%.

Which of the following policies would you most favor for the federal government to implement for people who are providing care for an aging family member?

  • Giving direct payments to help with caregiving costs 46.3%
  • Giving tax credits to help pay for caregiving 25.2%
  • Paying for short-term care for aging adults to give family caregivers a break 16.7%
  • Requiring employers to provide paid family leave 11.9%

2026 · base n 1,000 · +/- 3.1%

Verasight PAA Omnibus Survey #2026-051

View source data

Direct payments lead the caregiving asks

For people caring for an aging family member, 46.3% of adults most favor the federal government giving direct payments to help with caregiving costs.

Tax credits follow at 25.2%, paid short-term respite care at 16.7% and requiring employers to provide paid family leave at 11.9%. Adults 18-29 favor mandated paid family leave far more than adults 65 and older (18.1% vs 5.2%).

No clear side on immigration as a demographic fix

On using immigration to address the economic effects of aging populations and falling birth rates, the largest group of adults (42.8%) is neutral.

The rest divide almost evenly: 29.8% disagree with using immigration this way and 27.4% agree.

Methodology

Full methodology
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Population
US adults age 18+
Field dates
2026-06-03 → 2026-06-08
Base (unweighted)
1,000
Margin of error
+/- 3.1%
Module
A
Sponsor
Verasight
Weight variable
weight
Weighting targets
age, race/ethnicity, sex, income, education, region, metropolitan status

Sources

[3]

Citation

Verasight PAA Omnibus Survey #2026-051, fielded June 3-8, 2026, N=1,000 US adults age 18+, +/- 3.1%.

https://reports.verasight.io/r/paa-2026#q-7

Verasight survey methodology

How Verasight conducts surveys.

This page describes the Verasight general survey contract, separate from how the Data Library packages it. When a wave report is published, its field dates, sample sizes, and module breakdown are listed in that report.

Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting.
Population
US adults age 18+.
Sample design
Surveys are run as omnibus or single-topic waves. Omnibus waves are split into modules with their own respondent set, typically around one thousand respondents per module.
Field window
Each wave specifies its own field dates. Most omnibus waves field across roughly two weeks.
Weighting
Per-module weighting to CPS targets including age, race and ethnicity, sex, income, education, region, and metropolitan status.
Partisanship benchmark
Pew Research Center's NPORS benchmarking surveys, three-year running average.
Vote benchmark
2024 presidential vote population benchmarks.
Margin of error
Typically about plus or minus 3.4 to 3.6 percent per module at standard module sizes. Question-level MoE is recomputed when a base shrinks materially below the module baseline.
Reporting
The canonical report hub is reports.verasight.io. Verified legacy reports remain on their original hosts, and unpublished reports are marked pending.
Transparency
Verasight is a member of the American Association for Public Opinion Research Transparency Initiative.

The canonical report hub is reports.verasight.io; older reports may remain on verified legacy hosts.