US county socioeconomic intelligence (annual)
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Census Bureau ACS 5-year estimates (keyless official bulk .dat, U.S. public domain): one row per county-equivalent (50 states + DC + Puerto Rico) for the 2024 vintage with median household and per-capita income (+MOEs), poverty rate, bachelor's-plus share, median home value and gross rent (+MOEs), owner-occupancy and uninsured shares recomputed from table cells, year-over-year change vs the 2023 vintage, national z-scores, a documented 0-100 prosperity_score (30% income + 25% inverse poverty + 20% college + 15% inverse uninsured + 10% home value, percentile ranks) ranked nationally and within-state with p1-p4 tiers, plus high-poverty, income-decline and insurance-gap flags. Primary key: (county_fips, acs_year). Cadence: yearly (upstream publishes one 5-year vintage per December). Caveats: MOEs only for direct estimates (derived shares carry none); vintages are in own-year dollars so YoY $ changes are not real terms; 5-year figures are period estimates. Sample use: join customers/orders/leads by county FIPS (or ZIP->county) to enrich demand, churn and lead-scoring models with income, poverty, education, housing and insurance signals.
- Rows
- 3,222
- Columns
- 38
- Source cadence
- Yearly
- Last refreshed
- Sep 29, 2026
- Theme
- economy
| Column | Type | Description |
|---|---|---|
| as_of | string | Fixed vintage stamp: the ACS 5-year vintage year (identical input yields an identical content hash). (unit: year) |
| vintage | integer | ACS 5-year vintage year. (unit: year) |
| acs_year | integer | Reference vintage year of the row. (unit: year) |
| county_fips | string | 5-digit FIPS (state 2 + county 3); stable primary key with acs_year. (unit: id) |
| county_name | string | County-equivalent name (county, parish, borough, municipio, independent city). |
| state_fips | string | 2-digit state FIPS code. (unit: id) |
| state_code | string | USPS two-letter state/District code (PR for Puerto Rico). (unit: code) |
| state_name | string | State/District/Commonwealth name. |
| country_code | string | Constant USA join key. (unit: code) |
| median_hh_income | integer | Median household income, past 12 months, in vintage inflation-adjusted dollars (B19013_001). (unit: USD) |
| median_hh_income_moe | integer | Margin of error, 90% confidence, for median_hh_income. (unit: USD) |
| per_capita_income | integer | Per-capita income, past 12 months (B19301_001). (unit: USD) |
| per_capita_income_moe | integer | Margin of error for per_capita_income. (unit: USD) |
| poverty_rate_pct | float | Share of the poverty universe below the poverty line: B17001_002/B17001_001*100. (unit: percent) |
| college_plus_share_pct | float | Share of population 25+ with a bachelor's degree or higher: (B15003_022+023+024+025)/B15003_001*100. (unit: percent) |
| median_home_value | integer | Median value of owner-occupied housing units (B25077_001). (unit: USD) |
| median_home_value_moe | integer | Margin of error for median_home_value. (unit: USD) |
| median_gross_rent | integer | Median gross rent of renter-occupied units (B25064_001). (unit: USD) |
| median_gross_rent_moe | integer | Margin of error for median_gross_rent. (unit: USD) |
| owner_share_pct | float | Owner-occupied share of occupied units: B25003_002/B25003_001*100. (unit: percent) |
| uninsured_share_pct | float | Share of the civilian noninstitutionalized population with no health insurance: sum of the 18 B27001 'No health insurance coverage' cells / B27001_001*100. (unit: percent) |
| income_yoy_pct | float | Year-over-year change of median_hh_income vs the prior vintage, percent (own-year dollars, not real terms). (unit: percent) |
| poverty_yoy_pp | float | Year-over-year change of poverty_rate_pct vs the prior vintage, percentage points. (unit: percentage points) |
| home_value_yoy_pct | float | Year-over-year change of median_home_value vs the prior vintage, percent. (unit: percent) |
| rent_yoy_pct | float | Year-over-year change of median_gross_rent vs the prior vintage, percent. (unit: percent) |
| income_z | float | National z-score of median_hh_income across counties (sample std). (unit: z-score) |
| poverty_z | float | National z-score of poverty_rate_pct. (unit: z-score) |
| college_z | float | National z-score of college_plus_share_pct. (unit: z-score) |
| uninsured_z | float | National z-score of uninsured_share_pct. (unit: z-score) |
| prosperity_score | float | Documented 0-100 score = 100*(0.30*pct_rank (income) + 0.25*pct_rank(-poverty) + 0.20*pct_rank(college) + 0.15*pct_rank (-uninsured) + 0.10*pct_rank(home value)); null when any component is null. (unit: score) |
| prosperity_rank | integer | National prosperity rank (1 = most prosperous; ties broken by county_fips asc). (unit: rank) |
| prosperity_tier | string | Rank-quartile tier: p1 (top 25%) .. p4. (unit: tier) |
| state_prosperity_rank | integer | Prosperity rank within the county's state. (unit: rank) |
| high_poverty_flag | integer | 1 when poverty_rate_pct >= 20. (unit: flag) |
| income_decline_flag | integer | 1 when income_yoy_pct < 0. (unit: flag) |
| insurance_gap_flag | integer | 1 when uninsured_share_pct >= 12. (unit: flag) |
| source_url | string | Canonical URL of the official ACS 5-year bulk table directory for the vintage. (unit: URL) |
| row_hash | string | SHA-256 (16 hex) over the row's content fields; identical input yields an identical hash. (unit: hash) |
First 10 sample rows — a preview, not the complete dataset.
| as_of | vintage | acs_year | county_fips | county_name | state_fips | state_code | state_name | country_code | median_hh_income | median_hh_income_moe | per_capita_income | per_capita_income_moe | poverty_rate_pct | college_plus_share_pct | median_home_value | median_home_value_moe | median_gross_rent | median_gross_rent_moe | owner_share_pct | uninsured_share_pct | income_yoy_pct | poverty_yoy_pp | home_value_yoy_pct | rent_yoy_pct | income_z | poverty_z | college_z | uninsured_z | prosperity_score | prosperity_rank | prosperity_tier | state_prosperity_rank | high_poverty_flag | income_decline_flag | insurance_gap_flag | source_url | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | 2,024 | 2,024 | 51610 | Falls Church city | 51 | VA | Virginia | USA | 143,262 | 15,432 | 88,790 | 6,035 | 4.02 | 80.53 | 1,055,600 | 60,266 | 2,190 | 104 | 52.53 | 1.7 | -7.41 | 0.38 | 4.99 | -0.68 | 0.024 | -1.451 | 5.466 | -1.476 | 99.79 | 1 | p1 | 1 | 0 | 1 | 0 | https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/ | d947d69a2c8bc970 |
| 2024 | 2,024 | 2,024 | 35028 | Los Alamos County | 35 | NM | New Mexico | USA | 147,139 | 10,556 | 74,704 | 4,431 | 3.53 | 69.74 | 495,800 | 24,607 | 1,375 | 119 | 74.83 | 2.49 | 2.76 | 0.6 | 9.57 | 5.12 | 0.024 | -1.516 | 4.409 | -1.314 | 99.28 | 2 | p1 | 1 | 0 | 0 | 0 | https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/ | 2bc7925257915fc1 |
| 2024 | 2,024 | 2,024 | 25007 | Dukes County | 25 | MA | Massachusetts | USA | 125,786 | 14,169 | 79,756 | 15,344 | 4.43 | 51.9 | 1,165,800 | 68,458 | 1,277 | 413 | 82.08 | 2.15 | 22.9 | -0.95 | 5.59 | -6.86 | 0.023 | -1.396 | 2.662 | -1.385 | 98.93 | 3 | p1 | 1 | 0 | 0 | 0 | https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/ | 47d2b7106fe54ae1 |
| 2024 | 2,024 | 2,024 | 34019 | Hunterdon County | 34 | NJ | New Jersey | USA | 141,715 | 3,618 | 72,227 | 2,148 | 3.99 | 57.38 | 517,200 | 12,844 | 1,687 | 51 | 85.14 | 2.8 | 1.62 | 0.15 | 3.69 | -1.17 | 0.024 | -1.454 | 3.199 | -1.251 | 98.93 | 4 | p1 | 1 | 0 | 0 | 0 | https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/ | 30e3f1997339bc7b |
| 2024 | 2,024 | 2,024 | 08035 | Douglas County | 08 | CO | Colorado | USA | 149,594 | 2,519 | 69,608 | 1,168 | 3.77 | 62.02 | 713,600 | 5,715 | 2,193 | 33 | 77.39 | 3.87 | 2.65 | 0.54 | 5.88 | 4.68 | 0.025 | -1.485 | 3.654 | -1.034 | 98.58 | 5 | p1 | 1 | 0 | 0 | 0 | https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/ | 6eb7bdca88f8d86a |
| 2024 | 2,024 | 2,024 | 27019 | Carver County | 27 | MN | Minnesota | USA | 125,946 | 3,700 | 60,893 | 1,598 | 4.42 | 50.44 | 453,600 | 7,396 | 1,514 | 76 | 81.48 | 2.15 | 2.28 | 0.2 | 6.25 | 4.85 | 0.023 | -1.397 | 2.52 | -1.384 | 98.27 | 6 | p1 | 1 | 0 | 0 | 0 | https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/ | a80970a60dc1f3d8 |
| 2024 | 2,024 | 2,024 | 25021 | Norfolk County | 25 | MA | Massachusetts | USA | 130,739 | 2,551 | 71,758 | 887 | 6.69 | 58.78 | 683,900 | 5,690 | 2,149 | 29 | 68.75 | 1.87 | 3.35 | 0.06 | 5.31 | 3.72 | 0.023 | -1.097 | 3.336 | -1.441 | 98.01 | 7 | p1 | 2 | 0 | 0 | 0 | https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/ | 6742c90e7428a4bd |
| 2024 | 2,024 | 2,024 | 36059 | Nassau County | 36 | NY | New York | USA | 146,202 | 1,472 | 64,198 | 729 | 5.42 | 49.68 | 684,700 | 2,833 | 2,252 | 41 | 81.95 | 3.8 | 1.95 | 0.1 | 3.95 | 2.6 | 0.024 | -1.265 | 2.445 | -1.046 | 97.55 | 8 | p1 | 1 | 0 | 0 | 0 | https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/ | 45bd452570d32584 |
| 2024 | 2,024 | 2,024 | 47187 | Williamson County | 47 | TN | Tennessee | USA | 135,594 | 4,044 | 66,219 | 1,469 | 4.64 | 62.69 | 751,900 | 14,835 | 1,969 | 53 | 78.81 | 4.43 | 3.35 | 0.13 | 11.61 | 3.91 | 0.023 | -1.368 | 3.719 | -0.919 | 97.5 | 9 | p1 | 1 | 0 | 0 | 0 | https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/ | a4555fa0f5aa0ee2 |
| 2024 | 2,024 | 2,024 | 24027 | Howard County | 24 | MD | Maryland | USA | 149,763 | 3,158 | 67,501 | 1,195 | 5.23 | 64.46 | 597,900 | 6,060 | 2,099 | 33 | 71.48 | 4.23 | 1.89 | 0.12 | 3.68 | 2.99 | 0.025 | -1.29 | 3.892 | -0.96 | 97.48 | 10 | p1 | 1 | 0 | 0 | 0 | https://www2.census.gov/programs-surveys/acs/summary_file/2024/table-based-SF/data/5YRData/ | 9ff6252a7dad17b8 |
- Current
20260929T075151Z-a245a46e401b · sha256 a245a46e401b…
3,222 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/census_acs_county_intel/us_county_socioeconomic_annual" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/census_acs_county_intel/us_county_socioeconomic_annual").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/census_acs_county_intel/us_county_socioeconomic_annual
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20260929T075151Z-a245a46e401b and its content hash, so readers get exactly the data you used.
APA
Census ACS County Socioeconomic Intelligence. (2026). US county socioeconomic intelligence (annual) [Data set, snapshot 20260929T075151Z-a245a46e401b, sha256 a245a46e401b]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/en/datasets/census_acs_county_intel/us_county_socioeconomic_annual?snapshot=20260929T075151Z-a245a46e401b
BibTeX
@misc{dz_census_acs_county_intel_us_county_socioe_a245a46e,
title = {{US county socioeconomic intelligence (annual)}},
author = {{Census ACS County Socioeconomic Intelligence}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/census_acs_county_intel/us_county_socioeconomic_annual?snapshot=20260929T075151Z-a245a46e401b}},
note = {Snapshot 20260929T075151Z-a245a46e401b, sha256 a245a46e401bdbef123697d09e32cf1e462a528fe515c6e9b4e62209638a62b8; accessed 2026-09-30}
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<iframe src="https://datazimuts.com/embed/chart?dataset=census_acs_county_intel%2Fus_county_socioeconomic_annual&lang=en&theme=auto&snapshot=20260929T075151Z-a245a46e401b&x=acs_year&y=vintage&agg=avg" title="US county socioeconomic intelligence (annual)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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