Bedford County
Pennsylvania · County seat: Bedford · Active county or equivalent
FIPS code 42009 is Bedford County, Pennsylvania. With a population of 47,613 (2022 ACS estimate), it ranks #45 in Pennsylvania and #1035 nationally. The state FIPS code for Pennsylvania is 42. This code is used in Census Bureau, BLS, EPA, HUD, and USDA federal datasets to identify this county.
County FIPS
42009
Population
47,613
2022 ACS · #1035 nationally
Density
47.0/mi²
people per sq mile
Land Area
1,012
sq miles
Urban/Rural
Nonmetro — rural, adjacent to metro
RUCC 8
How This FIPS Code Works
The 5-digit FIPS code 42009 is formed by combining the 2-digit state identifier 42 (Pennsylvania) with the 3-digit county identifier 009. Together they uniquely identify Bedford County in every US federal dataset. No two counties share the same 5-digit FIPS code.
Census ACS Data for FIPS 42009
From the 2022 ACS 5-year estimates — the same values you'd retrieve by querying the Census API with county FIPS 42009.
Median Household Income
$58,337
ACS B19013_001E
Poverty Rate
10.8%
ACS B17001 (below poverty level)
Median Age
47.3
ACS B01002_001E
Adjacent Counties (6)
Counties that share a border with Bedford County. Useful for regional analysis — these are the geographies you'd typically include when studying labor markets, commuting zones, or environmental spillovers around FIPS 42009.
Federal Datasets Using Code 42009
FIPS code 42009 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 42009 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:009",
"in": "state:42",
"key": "YOUR_CENSUS_API_KEY",
}
r = requests.get(url, params=params)
data = r.json() # [[header...], [Bedford County, Pennsylvania, income, pop, ...]-- 5-digit combined FIPS (state + county)
SELECT * FROM your_table WHERE county_fips = '42009';
-- Some datasets store state and county separately
SELECT * FROM your_table
WHERE state_fips = '42'
AND county_fips = '009';
-- ⚠ Never cast to integer — leading zeros are lost:
-- county_fips = 42009 is WRONG for this countylibrary(tidycensus)
get_acs(
geography = "county",
variables = c(income = "B19013_001E", pop = "B01003_001E"),
state = "42",
county = "009",
year = 2022
)ZIP Codes in Bedford 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 Bedford County. Why FIPS ≠ ZIP →
| ZIP Code | % in county |
|---|---|
| 17211 | 100.0% |
| 15522 | 100.0% |
| 15550 | 100.0% |
| 15554 | 100.0% |
| 16633 | 100.0% |
| 16650 | 100.0% |
| 16659 | 100.0% |
| 16664 | 100.0% |
| 16667 | 100.0% |
| 16670 | 100.0% |
| 16672 | 100.0% |
| 16679 | 100.0% |
| 16695 | 100.0% |
| 15521 | 100.0% |
| 15535 | 100.0% |
| 15537 | 100.0% |
| 15539 | 100.0% |
| 15559 | 99.9% |
| 15534 | 99.1% |
| 16655 | 97.9% |
| 15533 | 94.0% |
| 15545 | 58.2% |
| 16678 | 55.3% |
| 16625 | 41.9% |
| 16673 | 37.8% |
| 16662 | 15.1% |
| 16694 | 14.1% |
| 15946 | 9.4% |
| 16657 | 2.0% |