FIPS code 55025 is Dane County, Wisconsin. With a population of 559,891 (2022 ACS estimate), it ranks #2 in Wisconsin and #121 nationally. Dane County is part of the Madison, WI. The state FIPS code for Wisconsin is 55. This code is used in Census Bureau, BLS, EPA, HUD, and USDA federal datasets to identify this county.
County FIPS
55025
Population
559,891
2022 ACS · #121 nationally
Density
467.7/mi²
people per sq mile
Land Area
1,197
sq miles
Urban/Rural
Metro — 250K–1M population
RUCC 2
How This FIPS Code Works
The 5-digit FIPS code 55025 is formed by combining the 2-digit state identifier 55 (Wisconsin) with the 3-digit county identifier 025. Together they uniquely identify Dane County in every US federal dataset. No two counties share the same 5-digit FIPS code.
Census ACS Data for FIPS 55025
From the 2022 ACS 5-year estimates — the same values you'd retrieve by querying the Census API with county FIPS 55025.
Median Household Income
$84,297
ACS B19013_001E
Poverty Rate
10.9%
ACS B17001 (below poverty level)
Median Age
35.5
ACS B01002_001E
Metropolitan Area
Adjacent Counties (7)
Counties that share a border with Dane County. Useful for regional analysis — these are the geographies you'd typically include when studying labor markets, commuting zones, or environmental spillovers around FIPS 55025.
Federal Datasets Using Code 55025
FIPS code 55025 appears as the county identifier in the following federal datasets. Analysts joining data across these sources use this code as the common geographic key.
Using FIPS Code 55025 in Code
Common patterns for querying federal datasets by this county's FIPS code. The leading zeros are significant — always treat FIPS codes as strings, not integers.
import requests
url = "https://api.census.gov/data/2022/acs/acs5"
params = {
"get": "NAME,B19013_001E,B01003_001E",
"for": "county:025",
"in": "state:55",
"key": "YOUR_CENSUS_API_KEY",
}
r = requests.get(url, params=params)
data = r.json() # [[header...], [Dane County, Wisconsin, income, pop, ...]-- 5-digit combined FIPS (state + county)
SELECT * FROM your_table WHERE county_fips = '55025';
-- Some datasets store state and county separately
SELECT * FROM your_table
WHERE state_fips = '55'
AND county_fips = '025';
-- ⚠ Never cast to integer — leading zeros are lost:
-- county_fips = 55025 is WRONG for this countylibrary(tidycensus)
get_acs(
geography = "county",
variables = c(income = "B19013_001E", pop = "B01003_001E"),
state = "55",
county = "025",
year = 2022
)ZIP Codes in Dane County
ZIP codes do not align perfectly with county boundaries — a single ZIP code can span multiple counties, and a county can contain parts of many ZIP codes. The ratios below (from the Census 2020 ZCTA relationship file) show the land area share of each ZCTA that falls within Dane County. Why FIPS ≠ ZIP →
| ZIP Code | % in county |
|---|---|
| 53713 | 100.0% |
| 53571 | 100.0% |
| 53575 | 100.0% |
| 53590 | 100.0% |
| 53593 | 100.0% |
| 53597 | 100.0% |
| 53598 | 100.0% |
| 53703 | 100.0% |
| 53704 | 100.0% |
| 53705 | 100.0% |
| 53706 | 100.0% |
| 53711 | 100.0% |
| 53714 | 100.0% |
| 53715 | 100.0% |
| 53716 | 100.0% |
| 53717 | 100.0% |
| 53718 | 100.0% |
| 53719 | 100.0% |
| 53726 | 100.0% |
| 53792 | 100.0% |
| 53515 | 100.0% |
| 53527 | 100.0% |
| 53528 | 100.0% |
| 53529 | 100.0% |
| 53531 | 100.0% |
| 53558 | 100.0% |
| 53562 | 100.0% |
| 53572 | 99.3% |
| 53559 | 99.3% |
| 53589 | 97.9% |
Showing top 30 of 46 ZIP codes by residential address share.