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Data · Legal need

Who may need a lawyer, county by county

The people in each county who are most likely to need a lawyer for a specific kind of problem: older residents who plan estates, noncitizens and people who speak limited English, divorced residents, veterans with a disability rating, people with a disability or on SSI, renters stretched by their rent, uninsured residents and commuters on the road. Every number comes from the Census Bureau's American Community Survey for 2020 to 2024, with its margin of error, for every county, every state and the country.

Checked October 28, 2026 · CC BY 4.0 · Not legal advice

What is in this dataset?

The people in every U.S. county who may need a lawyer, counted from the Census Bureau's American Community Survey 2020 to 2024 5-year estimates: residents aged 65 and over, residents who are not U.S. citizens, foreign-born residents who arrived since 2010, residents who speak English less than very well (and Spanish speakers among them), divorced residents (and, for states, people divorced in the last year), veterans and veterans with a VA disability rating, residents with a disability, households on SSI, renter households and renters paying 30 or 50 percent of income on rent, residents without health insurance, workers who drive to work and median household income. One record per county (3,144, in the 50 states and DC), per state and for the US, each measure with its 90% margin of error and its share of the population it is counted in.

Use it as the denominator of a local market: how many people in a county could need an immigration, family, elder-law, estate-planning, veterans' disability, Social Security disability, landlord-tenant or injury lawyer, and how that compares with the state. Pair it with the law-offices, deserts, fatal-crashes or immigration-courts datasets by county FIPS code. Agents can look up a state's counties, compare states, or search a county by name and measure.

Records
3,196
Look up by
52
state
Primary source
3,196

The letters are explained in what P, S, D and U mean.

Where does the data come from?

Read from the Census Bureau's ACS 2020-2024 5-year table-based Summary File (one .dat file per table): each measure is one table line or the sum of several lines, with the margin of error of a sum approximated as the root of the summed squares; shares divide by the table's own universe. Every state's counties sum exactly to the state row and the states to the US row; a gate re-checks every total and re-reads sample values from the raw files on each release.

Period covered
January 1, 2020 to December 31, 2024
Places
The whole US, states and counties
How often we refresh it
Once a year
The source's next release
December 2026
Records read
October 28, 2026

Official sources

The sources the records cite most

What does a record look like?

The full records add the dates, the quoted source text and every field in the CSV and JSON files below.

What each of the 73 main columns means
jurisdiction
Two-letter state code (50 states and DC), or US for the national row
county
5-digit county FIPS code (2025 county list, as in the crosswalks dataset); empty on state and US rows
level
county, state or us
name
County and state, state name, or United States
value
Total residents (ACS 2020-2024 5-year estimate, table B01001)
period
The survey years the 5-year estimate pools (2020-2024)
pop_total
Total residents (B01001 line 1)
pop_total_moe90
90% margin of error of pop_total (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
age_65plus
Residents aged 65 and over (B01001 lines 20-25 and 44-49); share of total residents
age_65plus_moe90
90% margin of error of age_65plus (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
age_65plus_pct
age_65plus as a percentage of its universe (pop_total), one decimal
noncitizens
Residents who are not U.S. citizens (B05001 line 6); share of total residents
noncitizens_moe90
90% margin of error of noncitizens (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
noncitizens_pct
noncitizens as a percentage of its universe (pop_total), one decimal
recent_arrivals
Foreign-born residents who entered the U.S. in 2010 or later (B05005 line 4); share of residents born outside the U.S.
recent_arrivals_moe90
90% margin of error of recent_arrivals (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
recent_arrivals_pct
recent_arrivals as a percentage of its universe (born_abroad), one decimal
lep
Residents aged 5+ who speak English less than "very well", any language (B16005, the well / not well / not at all lines); share of residents aged 5+
lep_moe90
90% margin of error of lep (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
lep_pct
lep as a percentage of its universe (pop_5plus), one decimal
spanish_lep
Spanish speakers aged 5+ who speak English less than "very well" (B16005 lines 6-8 and 28-30); share of residents aged 5+
spanish_lep_moe90
90% margin of error of spanish_lep (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
spanish_lep_pct
spanish_lep as a percentage of its universe (pop_5plus), one decimal
divorced
Residents aged 15+ whose current marital status is divorced (B12001 lines 10 and 19); share of residents aged 15+
divorced_moe90
90% margin of error of divorced (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
divorced_pct
divorced as a percentage of its universe (pop_15plus), one decimal
divorced_last_year
Residents aged 15+ divorced in the last 12 months (B12503 lines 5 and 10); the Census Bureau publishes this table for states and the US only, so county rows are empty
divorced_last_year_moe90
90% margin of error of divorced_last_year (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
divorced_last_year_pct
divorced_last_year as a percentage of its universe (pop_15plus), one decimal
veterans
Civilian veterans aged 18+ (B21001 line 2); share of civilians aged 18+
veterans_moe90
90% margin of error of veterans (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
veterans_pct
veterans as a percentage of its universe (civ_pop_18plus), one decimal
va_rated
Civilian veterans with a VA service-connected disability rating, any percentage (B21100 line 3); share of civilian veterans
va_rated_moe90
90% margin of error of va_rated (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
va_rated_pct
va_rated as a percentage of its universe (civ_veterans), one decimal
va_rated_70plus
Civilian veterans rated 70 percent or higher (B21100 line 8); share of civilian veterans
va_rated_70plus_moe90
90% margin of error of va_rated_70plus (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
va_rated_70plus_pct
va_rated_70plus as a percentage of its universe (civ_veterans), one decimal
disability
Civilian noninstitutionalized residents with a disability (B18101, the 12 'with a disability' lines); share of that population
disability_moe90
90% margin of error of disability (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
disability_pct
disability as a percentage of its universe (civ_noninst_pop), one decimal
ssi_households
Households with Supplemental Security Income (B19056 line 2); share of households
ssi_households_moe90
90% margin of error of ssi_households (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
ssi_households_pct
ssi_households as a percentage of its universe (households), one decimal
renter_households
Renter-occupied housing units (B25003 line 3); share of occupied housing units
renter_households_moe90
90% margin of error of renter_households (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
renter_households_pct
renter_households as a percentage of its universe (occupied_units), one decimal
rent_burdened
Renter households paying 30 percent or more of household income on gross rent (B25070 lines 7-10); share of renter households whose rent share is computed
rent_burdened_moe90
90% margin of error of rent_burdened (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
rent_burdened_pct
rent_burdened as a percentage of its universe (renter_units), one decimal
rent_severe
Renter households paying 50 percent or more (B25070 line 10); same universe
rent_severe_moe90
90% margin of error of rent_severe (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
rent_severe_pct
rent_severe as a percentage of its universe (renter_units), one decimal
uninsured
Civilian noninstitutionalized residents with no health insurance coverage (B27010 lines 17, 33, 50 and 66); share of that population (B27010 line 1)
uninsured_moe90
90% margin of error of uninsured (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
uninsured_pct
uninsured as a percentage of its universe (B27010 line 1), one decimal
median_household_income
Median household income in the past 12 months, in 2024 inflation-adjusted dollars (B19013 line 1); not a count, so not summed
median_household_income_moe90
90% margin of error of median_household_income (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
commute_vehicle
Workers aged 16+ who commute by car, truck or van, driving alone or carpooling (B08301 line 2); share of workers aged 16+
commute_vehicle_moe90
90% margin of error of commute_vehicle (a sum of lines: root of the summed squares, the Census Bureau's approximation); 0 where the estimate is controlled
commute_vehicle_pct
commute_vehicle as a percentage of its universe (workers_16plus), one decimal
born_abroad
Universe: residents born outside the United States (B05005 line 1)
pop_5plus
Universe: residents aged 5 and over (B16005 line 1)
pop_15plus
Universe: residents aged 15 and over (B12001 line 1)
civ_pop_18plus
Universe: civilians aged 18 and over (B21001 line 1)
civ_veterans
Universe: civilian veterans aged 18 and over (B21100 line 1)
civ_noninst_pop
Universe: civilian noninstitutionalized residents (B18101 line 1)
households
Universe: households (B19056 line 1)
occupied_units
Universe: occupied housing units (B25003 line 1)
renter_units
Universe: renter-occupied units whose rent share of income is computed (B25070 line 1 minus line 11)
workers_16plus
Universe: workers aged 16 and over (B08301 line 1)
noisy
Measures whose 90% margin of error is more than half the estimate (or whose estimate is 0 with a margin above 0): read them as rough
suppressedMeasures
Measures the Census Bureau did not publish for this place (sample too small); their value is empty

How do I use it in my own tools?

legalneed_lookup
For one two-letter state code (or US): the state row and every county in it, with residents aged 65+, noncitizens, recent arrivals, residents who speak English less than very well, divorced residents, veterans and VA disability ratings, disability, SSI households, renters and rent burden, uninsured residents, drivers to work and median household income, each with its margin of error and share.
legalneed_compare
The same records for up to 10 two-letter state codes, to set one state's counties against another's.
legalneed_search
Records whose text matches the words given, such as a county and a measure ("Harris County divorced"), a county FIPS code ("48201") or a state name.

How to cite this dataset

You can reuse, adapt and republish this data, including commercially, under the Creative Commons Attribution 4.0 license (CC BY 4.0). The only condition is that you credit Probative and link to the source.

Version
1.0.0, released October 28, 2026
Every version
10.5281/zenodo.23741885 (always points to the newest)
License
CC BY 4.0

Download the data

Free, no email or login. The files are hosted on this site and Zenodo, a public research archive.

Suggested citation

Probative. (2026). Legal need by county: who may need a lawyer, from the American Community Survey (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23741886

Credit line for a chart, table or article

Source: Probative, Legal need by county: who may need a lawyer, from the American Community Survey, version 1.0.0, https://doi.org/10.5281/zenodo.23741886, licensed CC BY 4.0.

Add to a reference manager (Zotero, Mendeley, EndNote)

Not legal advice. These are survey estimates of people with a characteristic, not counts of legal problems or cases: a renter, a veteran or a noncitizen does not necessarily need a lawyer. Each estimate has a margin of error, and small counties' estimates are rough.

What changed recently?

  • 2026-10-28 · 3,144 counties, 51 states and DC, and the US from the ACS 2020-2024 5-year estimates: 334,922,499 residents, 22,674,672 not U.S. citizens, 27,139,643 who speak English less than very well, 16,185,883 veterans and 45,017,354 renter households. (source)

The full log is in changes.json.

What are the limits?

  • The American Community Survey is a survey, not a full count. Each number is an estimate pooled over five years of interviews and comes with a ninety percent margin of error. A measure whose margin is more than half the estimate is listed under noisy in its record; read it as rough.
  • A person counted here is not a case. A renter, a veteran or a noncitizen may never need a lawyer; the measures size a market, they do not count legal problems, filings or clients.
  • Ability to speak English is self-reported by the household, and limited English here means speaking English less than very well, the Census Bureau's own line.
  • Small counties are noisy. In counties with a few thousand residents the margins are wide, and the Census Bureau withholds a value when the sample is too small; a withheld value is left empty and marked suppressed, never estimated.
  • Divorces in the last twelve months are published by the Census Bureau for states and the country only, so county rows carry the number of divorced residents instead. Puerto Rico is not included.
  • The estimates describe the years 2020 to 2024 as a whole, not one year. Places that grew fast since then, such as some suburban counties in the Sun Belt, have more residents today than these numbers show.
  • Records older than 400 days since their last check are marked stale in the files until we re-check them. Every confirmed error we fix is listed in the data corrections log.

Found a wrong value? Report an error with the record id and the source that shows the right value.

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