Report · Money

Local government budget management gets low marks

Reading

In a Verasight survey of 1,000 U.S. adults conducted Oct. 1 to 11, 2024, 63% of Americans said their local government is managing its budget poorly or very poorly.

About four-in-ten gave positive marks, including 33% who said their local government is managing its budget well and 4% who said very well.

Topline

single choice

Topline distribution

63% of Americans say their local government manages its budget poorly or very poorly.

How do you think your local government is managing its budget?

  • Poorly 40.1%
  • Well 32.9%
  • Very poorly 23.1%
  • Very well 3.8%

2024 · base n 1,000 · +/- 3.4%

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Methodology

Full methodology
Mode
Verasight panel recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting
Field dates
2024-10-01 → 2024-10-11
Base (unweighted)
1,000
Margin of error
+/- 3.4%
Module
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Source

  • 01
    Local government budget management gets low marksreports.verasight.io/reports/verasight-apsa-omnibus-survey-2024-103

Citation

Verasight APSA Omnibus Survey #2024-103, fielded October 1-11, 2024, N=1,000 US adults age 18+, +/- 3.4%.

https://reports.verasight.io/reports/verasight-apsa-omnibus-survey-2024-103#q-media_fin-9

Verasight survey methodology

How Verasight conducts surveys.

This page describes the Verasight general survey contract, separate from how the Data Library packages it. Each wave's specific field dates, sample sizes, and module breakdown are listed in that wave's 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
Every wave is published as a standalone report at verasight.io/reports with full instrument and methodology.
Transparency
AAPOR transparency standards.

Wave-specific methodology, full weighting variable lists, and verbatim instrument text live in each report at verasight.io/reports.