Income data at the county level reveals patterns that state and national averages obscure. In Georgia, median household income ranges from below 40,000 USD in rural south Georgia counties to over 100,000 USD in Atlanta suburbs. The 2020 U.S. median household income stood at 67,521 USD, a 2.9 percent decline from 2019 driven largely by COVID-19 disruptions to employment and business operations. Stacker compiled a ranking of Georgia’s highest-earning counties using 2020 five-year estimate data from the U.S. Census Bureau. Understanding which counties top the list and why provides insight for home builders, property developers, and families making location decisions. For comparison, similar patterns emerge when examining Pennsylvania counties with the highest life expectancy and what their infrastructure teaches us, where income and health outcomes cluster around the same metropolitan centers.
How the Data Is Collected and What It Means
The U.S. Census Bureau’s American Community Survey provides five-year estimates for median household income at the county level. These estimates aggregate survey responses collected over a 60-month period, giving more reliable data for smaller counties where annual survey samples would be too small to produce statistically valid figures. The 2020 five-year estimates cover 2016 through 2020 and reflect conditions before and during the first year of the pandemic. Income data depends heavily on educational attainment, occupation mix, commuting patterns, and local industry composition. Counties with large populations of remote workers, professionals in law and healthcare, or technology sector employees tend to show higher median incomes. Those examining counties in Arkansas with the highest life expectancy where residents live longest will recognize that the same factors driving higher incomes also correlate with better health outcomes and longer life spans.
Limitations of Median Income as a Metric
Median household income provides a useful snapshot but does not capture the full economic picture. A county can have a high median income while still containing significant poverty. The gap between households earning over 100,000 USD and those earning under 15,000 USD is larger in high-income counties than in low-income ones. Georgia’s high-income counties show a spread of 60,000 to 85,000 USD between these two measures, compared to 30,000 to 45,000 USD in lower-income rural counties. This spread indicates greater economic stratification in wealthier areas. The percentage of households earning under 15,000 USD per year in several top-earning Georgia counties remains above 8 percent, showing that high medians do not equal universal prosperity.
Profile of Georgia’s Middle-Tier High-Earning Counties
The counties ranked 30 through 50 on Georgia’s list offer a representative sample of what drives household income growth outside the major metropolitan cores. These counties include a mix of exurban communities, military-adjacent areas, and agricultural hubs with diversified economies. Fayette County, consistently among Georgia’s wealthiest, benefits from its position along the Atlanta southern growth corridor. The county posted a median household income well above the state average, supported by professional services, healthcare, and logistics employment. Home builders operating in these exurban counties have seen steady demand for single-family housing as remote work enables longer commutes. A Georgia timber frame home can be found in projects throughout these areas, where buyers prioritize space and land over proximity to city centers.
County-by-County Data Snapshot (Ranks 40-50)
| County | Median Household Income | vs. State Avg | Households Over 100k | Households Under 15k |
|---|---|---|---|---|
| White County | 55,788 | -8.9% | 19.2% | 8.3% |
| Glynn County | 56,952 | -7.0% | 26.6% | 10.3% |
| Gilmer County | 57,376 | -6.3% | 24.5% | 8.7% |
| Habersham County | 54,147 | -11.6% | 19.0% | 12.9% |
| Putnam County | 52,910 | -13.6% | 22.9% | 11.1% |
| Haralson County | 52,021 | -15.0% | 24.1% | 13.3% |
| Madison County | 51,142 | -16.5% | 18.1% | 11.1% |
White County, with a median income of 55,788 USD, sits 8.9 percent below the state average but maintains a relatively low poverty rate with only 8.3 percent of households earning under 15,000 USD per year. Glynn County, home to Brunswick and the Golden Isles, shows the highest percentage of households earning over 100,000 USD in this tier at 26.6 percent, driven by tourism, port operations, and coastal development. Gilmer County in north Georgia benefits from second-home development and tourism in the Blue Ridge Mountains. Counties in this tier generally fall 6 to 16 percent below the state median but offer lower costs of living and more land per dollar than metro Atlanta. Patterns from Texas counties with the highest household incomes and what drives their economies show similar dynamics where suburban and exurban rings around major cities capture most of the growth.
Factors Driving Higher Incomes in Georgia Counties
Georgia’s income distribution follows predictable geographic and economic patterns. The five highest-earning counties in Georgia are all located in the Atlanta metropolitan area or its immediate exurban ring. These counties benefit from proximity to the state’s primary job center, which concentrates professional services, technology, healthcare administration, and corporate headquarters employment. Forsyth County, consistently Georgia’s wealthiest, posted a median household income roughly 50 to 60 percent above the state average. Fulton County, home to Atlanta’s business district, shows the highest concentration of households earning over 200,000 USD annually.
Economic Drivers by Region
Beyond metro Atlanta, distinct economic engines push county incomes upward. Chatham County benefits from Savannah’s port and manufacturing sector. Columbia County, near Augusta, draws income from healthcare, the Savannah River Site nuclear facility, and Army presence at Fort Eisenhower. Harris County, adjacent to Columbus, benefits from Fort Moore military operations and textile-related manufacturing. Coastal counties Glynn and Camden see income support from port activity, tourism, and military bases. The structural engineering behind major Georgia infrastructure such as the Savannah Harbor Expansion Project supports high-paying construction and engineering jobs in coastal counties. These lessons from structural elements of the highest bridge in the US apply equally to bridge, port, and transportation projects that anchor regional employment in Georgia.
Education and Income Correlation
Education attainment correlates strongly with county-level income in Georgia. Counties where 40 percent or more of adults hold a bachelor’s degree or higher show median household incomes averaging 75,000 to 95,000 USD. Counties where fewer than 15 percent of adults hold degrees show medians averaging 40,000 to 50,000 USD. The Georgia Department of Economic Development reports that each percentage point increase in bachelor’s degree attainment in a county correlates with an approximately 1,200 USD increase in median household income. This relationship reinforces the pattern where higher-income counties invest more in education infrastructure, creating a cycle that attracts employers and raises property values.
Implications for Home Builders and Property Developers
County income data directly affects housing market demand. Higher-income counties support higher home prices, larger floor plans, and more premium finishes. Builders targeting Georgia’s top-earning counties typically focus on homes priced between 350,000 and 650,000 USD, with custom builds exceeding 1 million USD in the wealthiest suburbs. In middle-tier counties with median incomes between 50,000 and 65,000 USD, the sweet spot for new construction sits between 220,000 and 380,000 USD. Land acquisition costs vary accordingly. A developed residential lot in Forsyth County costs 80,000 to 150,000 USD. A comparable lot in White County runs 30,000 to 60,000 USD.
- Top-tier metro counties (Forsyth, Fulton, Cobb): Entry-level new home 400,000+ USD. Land 80,000 to 200,000 USD per acre.
- Second-ring suburbs (Gwinnett, Paulding, Henry): Entry-level 280,000 to 380,000 USD. Land 40,000 to 90,000 USD per acre.
- Exurban and coastal counties (White, Glynn, Columbia): Entry-level 220,000 to 320,000 USD. Land 20,000 to 60,000 USD per acre.
- Rural counties (Towns, Haralson, Madison): Entry-level 150,000 to 240,000 USD. Land 8,000 to 25,000 USD per acre.
Mortgage debt levels follow income patterns. Home builders in higher-income counties see buyers carrying larger mortgage balances relative to loan counts, reflecting the higher home prices in those areas. Builders who understand these dynamics can better predict the financing profiles of their target buyers. Examining 10 states where mortgage debt runs highest and what it means for home builders reveals that Georgia’s higher-income counties track national patterns where median mortgage debt per homeowner rises with county income levels.
Looking Beyond the Median
County median income data provides a starting point for understanding local housing markets, but builders and buyers should dig deeper. Income distribution within a county matters more than the median. A county with a 60,000 USD median and 30 percent of households earning over 100,000 USD supports a different housing mix than a county with the same median but only 15 percent above 100,000 USD. The first county has enough high-income households to support premium product tiers. The second requires a focus on entry-level and move-up homes. Local economic development pipelines, new employer announcements, and infrastructure investments also shift income trajectories. A county that lands a major manufacturing plant can see median income rise 5 to 10 percent within three to five years as new jobs come online. Home builders studying highest mortgage debt by state what the data reveals about housing markets across America will find that county-level income data paired with mortgage application records gives a more complete picture of market capacity than either metric alone.
