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  3. Murray County, GA
Georgia (GA)Dalton706762

Murray County, GA

Dalton metro * 37.6K residents

Compare

37.6K

Population

$69.3K

Median income

per household

$184.4K

Home value

14.2%

Poverty rate

What stands out

  • Median household income: $69.3K.
  • Median home value: $184.4K.
  • Poverty rate: 14.2%.

Categories vs U.S.

Economy

1 of 6 metrics better than U.S. benchmarks

Median household income

$69.3K

U.S.

$81K

Median home value

$184.4K

U.S.

$333K

Poverty rate

14.2%

U.S.

12.4%

Housing stress

Rent-burdened renters (≥30%)

42.7%

U.S.

51.1%

Severely rent-burdened (≥50%)

18.5%

U.S.

25.9%

Affordability Ratios

Rent-to-Income

14.7%

Below 30% threshold

Home-Value-to-Income

2.7×

Within typical 3-5x range

Income distribution

Share of households by income bracket (ACS).

< $50k
39.2%
$50–100k
33.6%
$100–200k
22.5%
$200k+
4.7%
See Dalton metro economy →See GA state economy →

Health

1 of 6 available metrics better than U.S.

Obesity

41.5%

U.S.

33.2%

Diabetes

13.3%

U.S.

12.1%

Current smoking

17.0%

U.S.

12.8%

See Dalton metro health data →See GA state health data →

Connectivity

2 of 3 metrics better than U.S.

Best available speed

1,000Mbps

Gigabit speeds reported

100+ Mbps coverage

97.2%

U.S.

85.3%

Gigabit ready

23.0%

U.S.

8.6%

5G available

73.7%

U.S.

77.4%

See Dalton metro connectivity →See GA state connectivity →

Map

Murray County, GA

Population

37.6K

Area

344.5 sq mi

Density

109.1/sq mi

Neighbors

Fannin County, GAGilmer County, GAGordon County, GAWhitfield County, GABradley County, TNPolk County, TN
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.