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  3. Richland County, SC
South Carolina (SC)Columbia803839

Richland County, SC

Columbia metro * 407.6K residents

Compare

407.6K

Population

$65.1K

Median income

per household

$235.6K

Home value

17.6%

Poverty rate

What stands out

  • Median household income: $65.1K.
  • Median home value: $235.6K.
  • Poverty rate: 17.6%.

Categories vs U.S.

Economy

0 of 6 metrics better than U.S. benchmarks

Median household income

$65.1K

U.S.

$81K

Median home value

$235.6K

U.S.

$333K

Poverty rate

17.6%

U.S.

12.4%

Housing stress

Rent-burdened renters (≥30%)

57.9%

U.S.

51.1%

Severely rent-burdened (≥50%)

32.3%

U.S.

25.9%

Affordability Ratios

Rent-to-Income

24.1%

Below 30% threshold

Home-Value-to-Income

3.6×

Within typical 3-5x range

Income distribution

Share of households by income bracket (ACS).

< $50k
40.0%
$50–100k
30.5%
$100–200k
21.1%
$200k+
8.4%
See Columbia metro economy →See SC state economy →

Health

2 of 6 available metrics better than U.S.

Obesity

34.7%

U.S.

33.2%

Diabetes

13.0%

U.S.

12.1%

Current smoking

11.2%

U.S.

12.8%

See Columbia metro health data →See SC state health data →

Connectivity

3 of 3 metrics better than U.S.

Best available speed

1,000Mbps

Gigabit speeds reported

100+ Mbps coverage

96.8%

U.S.

85.3%

Gigabit ready

34.0%

U.S.

8.6%

5G available

90.5%

U.S.

77.4%

See Columbia metro connectivity →See SC state connectivity →

Map

Richland County, SC

Population

407.6K

Area

757.3 sq mi

Density

538.2/sq mi

Neighbors

Calhoun County, SCFairfield County, SCKershaw County, SCLexington County, SCNewberry County, SCSumter County, SC
Data Sources & Notes

Data freshness

ACS 5-year
2020–2024
CDC PLACES
2025
BLS (LAUS)
2025-12
Broadband
2020-12
Mobile coverage
2025-11-24
Page updated
2026-02-23

Release schedule and upstream dates: Sources.

Data sources

U.S. Census (ACS 5-year)U.S. Census TIGER/LineCDC PLACESBLS (LAUS)FCC (Form 477 broadband)FCC (Mobile Broadband Data Collection)

Derived statistics

  • ACS county metrics (income, housing, demographics) are sourced directly from Census county-level tables.
  • CDC health metrics are sourced from county-level CDC PLACES data.
  • Unemployment is sourced from the BLS Local Area Unemployment Statistics (LAUS) program.
  • Population density is computed as population ÷ land area.

Data accuracy & methodology

County pages use 2020–2024 ACS 5-year county-level estimates sourced directly from Census county tables. CDC health metrics come from county-level CDC PLACES. Unemployment rates come from the BLS LAUS program. Connectivity metrics use FCC coverage data.