53033 FipsDecoder
County equivalent — District of Columbia is not technically a "county" but functions as one in federal datasets. Learn about county equivalents →
11001 County FIPS Code

District of Columbia

District of Columbia · County equivalent (e.g. borough in AK, parish in LA)

View on CensusDepth ↗

FIPS code 11001 is District of Columbia, District of Columbia. With a population of 670,587 (2022 ACS estimate), it ranks #1 in District of Columbia and #98 nationally. District of Columbia is part of the Washington-Arlington-Alexandria, DC-VA-MD-WV. The state FIPS code for District of Columbia is 11. This code is used in Census Bureau, BLS, EPA, HUD, and USDA federal datasets to identify this county.

County FIPS

11001

State FIPS

11

DC

Population

670,587

2022 ACS · #98 nationally

Density

10,984.2/mi²

people per sq mile

Land Area

61

sq miles

Urban/Rural

Metro — 1M+ population

RUCC 1

How This FIPS Code Works

11 001
11 = State FIPS (District of Columbia)
001 = County FIPS

The 5-digit FIPS code 11001 is formed by combining the 2-digit state identifier 11 (District of Columbia) with the 3-digit county identifier 001. Together they uniquely identify District of Columbia in every US federal dataset. No two counties share the same 5-digit FIPS code.

Census ACS Data for FIPS 11001

From the 2022 ACS 5-year estimates — the same values you'd retrieve by querying the Census API with county FIPS 11001.

Median Household Income

$101,722

ACS B19013_001E

Poverty Rate

15.1%

ACS B17001 (below poverty level)

Median Age

34.8

ACS B01002_001E

Metropolitan Area

Adjacent Counties (5)

Counties that share a border with District of Columbia. Useful for regional analysis — these are the geographies you'd typically include when studying labor markets, commuting zones, or environmental spillovers around FIPS 11001.

Federal Datasets Using Code 11001

FIPS code 11001 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 11001 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.

Census ACS API — Python 11001
import requests

url = "https://api.census.gov/data/2022/acs/acs5"
params = {
    "get":  "NAME,B19013_001E,B01003_001E",
    "for":  "county:001",
    "in":   "state:11",
    "key":  "YOUR_CENSUS_API_KEY",
}
r = requests.get(url, params=params)
data = r.json()  # [[header...], [District of Columbia, District of Columbia, income, pop, ...]
SQL — filtering by county FIPS 11001
-- 5-digit combined FIPS (state + county)
SELECT * FROM your_table WHERE county_fips = '11001';

-- Some datasets store state and county separately
SELECT * FROM your_table
WHERE state_fips = '11'
  AND county_fips = '001';

-- ⚠ Never cast to integer — leading zeros are lost:
-- county_fips = 11001 is WRONG for this county
R — tidycensus 11001
library(tidycensus)

get_acs(
  geography = "county",
  variables = c(income = "B19013_001E", pop = "B01003_001E"),
  state     = "11",
  county    = "001",
  year      = 2022
)
Zero-padding reminder: FIPS codes must always be stored and compared as zero-padded strings. 11 (not 11) and 001 (not 1) — losing the leading zeros is one of the most common data-join bugs in federal datasets. Full guide →

ZIP Codes in District of Columbia

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 District of Columbia. Why FIPS ≠ ZIP →

ZIP Code % in county
20001 100.0%
20002 100.0%
20003 100.0%
20004 100.0%
20005 100.0%
20006 100.0%
20007 100.0%
20008 100.0%
20009 100.0%
20010 100.0%
20011 100.0%
20012 100.0%
20015 100.0%
20016 100.0%
20017 100.0%
20018 100.0%
20019 100.0%
20020 100.0%
20024 100.0%
20032 100.0%
20036 100.0%
20037 100.0%
20045 100.0%
20052 100.0%
20057 100.0%
20059 100.0%
20064 100.0%
20204 100.0%
20220 100.0%
20230 100.0%

Showing top 30 of 57 ZIP codes by residential address share.