53033 FipsDecoder
45061 County FIPS Code

Lee County

South Carolina · County seat: Bishopville · Active county or equivalent

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FIPS code 45061 is Lee County, South Carolina. With a population of 16,557 (2022 ACS estimate), it ranks #42 in South Carolina and #2060 nationally. The state FIPS code for South Carolina is 45. This code is used in Census Bureau, BLS, EPA, HUD, and USDA federal datasets to identify this county.

County FIPS

45061

State FIPS

45

SC

Population

16,557

2022 ACS · #2060 nationally

Density

40.4/mi²

people per sq mile

Land Area

410

sq miles

Urban/Rural

Nonmetro — rural, adjacent to metro

RUCC 8

How This FIPS Code Works

45 061
45 = State FIPS (South Carolina)
061 = County FIPS

The 5-digit FIPS code 45061 is formed by combining the 2-digit state identifier 45 (South Carolina) with the 3-digit county identifier 061. Together they uniquely identify Lee County in every US federal dataset. No two counties share the same 5-digit FIPS code.

Census ACS Data for FIPS 45061

From the 2022 ACS 5-year estimates — the same values you'd retrieve by querying the Census API with county FIPS 45061.

Median Household Income

$39,099

ACS B19013_001E

Poverty Rate

27.8%

ACS B17001 (below poverty level)

Median Age

41.5

ACS B01002_001E

Adjacent Counties (4)

Counties that share a border with Lee County. Useful for regional analysis — these are the geographies you'd typically include when studying labor markets, commuting zones, or environmental spillovers around FIPS 45061.

Federal Datasets Using Code 45061

FIPS code 45061 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 45061 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 45061
import requests

url = "https://api.census.gov/data/2022/acs/acs5"
params = {
    "get":  "NAME,B19013_001E,B01003_001E",
    "for":  "county:061",
    "in":   "state:45",
    "key":  "YOUR_CENSUS_API_KEY",
}
r = requests.get(url, params=params)
data = r.json()  # [[header...], [Lee County, South Carolina, income, pop, ...]
SQL — filtering by county FIPS 45061
-- 5-digit combined FIPS (state + county)
SELECT * FROM your_table WHERE county_fips = '45061';

-- Some datasets store state and county separately
SELECT * FROM your_table
WHERE state_fips = '45'
  AND county_fips = '061';

-- ⚠ Never cast to integer — leading zeros are lost:
-- county_fips = 45061 is WRONG for this county
R — tidycensus 45061
library(tidycensus)

get_acs(
  geography = "county",
  variables = c(income = "B19013_001E", pop = "B01003_001E"),
  state     = "45",
  county    = "061",
  year      = 2022
)
Zero-padding reminder: FIPS codes must always be stored and compared as zero-padded strings. 45 (not 45) and 061 (not 61) — losing the leading zeros is one of the most common data-join bugs in federal datasets. Full guide →

ZIP Codes in Lee 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 Lee County. Why FIPS ≠ ZIP →

ZIP Code % in county
29046 100.0%
29010 99.3%
29080 55.7%
29104 51.6%
29040 38.6%
29069 21.6%
29032 21.2%
29153 12.7%
29128 11.7%
29020 5.9%
29009 2.6%
29550 2.2%

Other Counties in South Carolina