FIPS code 39037 is Darke County, Ohio. With a population of 51,751 (2022 ACS estimate), it ranks #49 in Ohio and #975 nationally. Darke County is part of the Greenville, OH. The state FIPS code for Ohio is 39. This code is used in Census Bureau, BLS, EPA, HUD, and USDA federal datasets to identify this county.
County FIPS
39037
Population
51,751
2022 ACS · #975 nationally
Density
86.5/mi²
people per sq mile
Land Area
598
sq miles
Urban/Rural
Nonmetro — urban 2.5K–19.9K, adjacent to metro
RUCC 6
How This FIPS Code Works
The 5-digit FIPS code 39037 is formed by combining the 2-digit state identifier 39 (Ohio) with the 3-digit county identifier 037. Together they uniquely identify Darke County in every US federal dataset. No two counties share the same 5-digit FIPS code.
Census ACS Data for FIPS 39037
From the 2022 ACS 5-year estimates — the same values you'd retrieve by querying the Census API with county FIPS 39037.
Median Household Income
$60,237
ACS B19013_001E
Poverty Rate
11.1%
ACS B17001 (below poverty level)
Median Age
41.7
ACS B01002_001E
Metropolitan Area
Adjacent Counties (8)
Counties that share a border with Darke County. Useful for regional analysis — these are the geographies you'd typically include when studying labor markets, commuting zones, or environmental spillovers around FIPS 39037.
Federal Datasets Using Code 39037
FIPS code 39037 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 39037 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:037",
"in": "state:39",
"key": "YOUR_CENSUS_API_KEY",
}
r = requests.get(url, params=params)
data = r.json() # [[header...], [Darke County, Ohio, income, pop, ...]-- 5-digit combined FIPS (state + county)
SELECT * FROM your_table WHERE county_fips = '39037';
-- Some datasets store state and county separately
SELECT * FROM your_table
WHERE state_fips = '39'
AND county_fips = '037';
-- ⚠ Never cast to integer — leading zeros are lost:
-- county_fips = 39037 is WRONG for this countylibrary(tidycensus)
get_acs(
geography = "county",
variables = c(income = "B19013_001E", pop = "B01003_001E"),
state = "39",
county = "037",
year = 2022
)ZIP Codes in Darke 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 Darke County. Why FIPS ≠ ZIP →
| ZIP Code | % in county |
|---|---|
| 45362 | 100.0% |
| 45303 | 100.0% |
| 45348 | 100.0% |
| 45350 | 100.0% |
| 45351 | 100.0% |
| 45352 | 100.0% |
| 45358 | 100.0% |
| 45390 | 100.0% |
| 45328 | 100.0% |
| 45331 | 100.0% |
| 45332 | 100.0% |
| 45346 | 100.0% |
| 45380 | 98.9% |
| 45304 | 97.9% |
| 45388 | 95.8% |
| 45308 | 72.6% |
| 45337 | 37.1% |
| 45310 | 27.8% |
| 45347 | 25.7% |
| 45382 | 24.0% |
| 45846 | 14.1% |
| 45883 | 2.6% |
| 45309 | 2.4% |
| 45318 | 0.7% |
| 45338 | 0.3% |