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Valdosta, GA Metro Area

Valdosta, GA · Metro Area

150,188Population

A metropolitan statistical area of 4 counties (1 central, 3 outlying). The counties are tied together by commuting: people live in one and work in another.

Median household income
$57,085
Median home value
$201,300
Land area
1,607 sq mi
93 people per sq mi

Market now

Counties in this metro area

Central counties hold the urban core; outlying counties are linked to it by commuting.

CountyRolePopulationMedian incomeMedian home value
Lowndes County, GACentral119,965$58,541$215,600
Brooks County, GAOutlying16,293$46,807$139,200
Lanier County, GAOutlying10,221$47,186$162,300
Echols County, GAOutlying3,709$59,489$124,100

Largest cities and towns

12 places in our city pages lie in this area.

PlaceTypePopulationMedian income
Valdosta, GACity55,252$45,925
Quitman, GACity4,062$19,324
Echols County, GA—3,709$59,489
Hahira, GACity3,451$70,966
Lakeland, GACity2,968$31,147
Remerton, GACity1,280$26,824
Lake Park, GACity1,234$51,813
Dasher, GATown944$65,703
Pavo, GACity901$52,708
Morven, GACity553$36,389
Moody AFB, GACDP512—
Barwick, GACity369$32,778

Demographic Rates

Poverty Rate
20.2%
Unemployment
4.9%
College Educated
25.5%
Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S1701, S2301, S1501

Race & Ethnicity

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table B02001, B03003

Income Profile

Median Household Income
$57,085
Mean Household Income
$77,155

Income Distribution

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S1901, S1902, S1903, B19013, B19113

Sex Distribution

Male
48.1%
Female
51.9%

Population Split

Male48.1%
Female51.9%

The sex distribution of a population provides insight into the demographic balance of a community. Significant skews in this ratio can be influenced by local industries (e.g., military bases, mining, or tech hubs), educational institutions, or migration patterns. Understanding this balance is essential for planning public health initiatives and social services.

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S0101

Ancestry

English9.3%
Irish6.8%
German5.6%
Mexican3.7%
Italian1.8%
Scottish1.7%
French1.1%
Polish0.7%
African0.7%
Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table B04006

Immigration & Nativity

Nativity Status

4.1%Foreign Born
95.9%Native Born

Citizenship Status

Naturalized43.9%
Non-Citizen56.1%

Period of Entry

2010 or Later34.3%
Before 201065.7%
Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table B05001, B05002

Housing Characteristics

Total Housing Units
64,334
Median Rent
$1,025/mo
Median Home Value
$201,300
Median Year Built
1992

Housing Tenure

Housing Types

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table DP04

Education Enrollment

Total Enrolled
42,579
College Enrollment
27.4%
High School
20.3%
College Educated
25.5%

K-12 Enrollment

Higher Education

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S1401, S1501

Transportation & Commute

Mean Commute Time
20.6 min
Drive Alone Rate
80.9%
Public Transit
0.3%
Work From Home
6.3%

Commute Mode

Vehicle Ownership

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S0801, B08141

Age Distribution

Under 18
24.1%
18-34 Years
28.3%
35-64 Years
33.3%
65+ Years
14.3%

Population Composition

Under 1824.1%
18-3428.3%
35-6433.3%
65+14.3%

The age distribution of a community impacts local services, school requirements, and the labor market. A higher percentage of youth suggests a need for schools and family services, while a larger senior population may indicate a retirement destination or a need for healthcare services.

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S0101

Household Composition

Married Couples
43.1%
Single Parent
8.8%
Living Alone
30.9%
Avg Size
2.55

Household Types

Married Couples43.1%
Single Parent8.8%
Living Alone30.9%

Household composition offers insights into the social fabric of a community. A high percentage of married couples often correlates with stability and higher household incomes, while a significant number of single-person households may indicate a younger transient population or an aging community.

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S1101

Economic Profile

Per Capita Income
$30,036
SNAP Usage
16.9%
Health Insurance
85.1%

Household Income Breakdown

Under $25k24.7%
$25k - $50k19.7%
$50k - $100k31.1%
$100k+24.7%

Key Industries

Manufacturing
9.0%
Retail Trade
14.0%
Education & Health Care
24.0%
Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S1901, S2201, DP03

Health & Disability

Disability Rate

13.9%With Disability

Percentage of the civilian noninstitutionalized population with a disability.

Health Insurance Coverage

85.1%With Coverage

Percentage of the civilian noninstitutionalized population with health insurance coverage.

Why this matters: High disability rates may indicate a need for accessible infrastructure and specialized healthcare services. Health insurance coverage is a key indicator of a community's access to preventative care and financial resilience against medical emergencies.

Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S1810, S2701

Technology Access

Broadband Internet
83.5%vs ~90% National Avg
Computer Ownership
94.2%vs ~95% National Avg
Source: U.S. Census Bureau, ACS 5-Year Estimates (2020–2024) • Table S2801

Cost of Living & Housing

Cost of Living Scale

Lower is better
88.3
0130
Below average< 97
Near average97 - 103
Above average> 103

Prices compared with the US average (100). 105 means about 5% more expensive than average.

Housing Affordability

Higher is better
150.5
0200
Hard to Afford< 80
Moderate80 - 100
Affordable> 100

100 means a family earning the median family income just qualifies to buy the median-value home (20% down, 30-year loan at 6.72%).

Source: BEA Regional Price Parities · NAR affordability formula with Census ACS 2020–2024 incomes and home values and the Freddie Mac 30-year rate (2024)