View monthly updates and historical trends for Atlanta, GA Unemployment Rate. Source: Bureau of Labor Statistics. Track economic data with YCharts analyti…

Graph and download economic data for Unemployment Rate in Atlanta-Sandy Springs-Roswell, GA (MSA) (ATLA013URN) from Jan 1990 to Aug 2025 about Atlanta, GA, unemployment, rate, and USA.

Graph and download economic data for All Employees: Total Nonfarm in Atlanta-Sandy Springs-Roswell, GA (MSA) (ATLA013NA) from Jan 1990 to Aug 2025 about Atlanta, payrolls, GA, nonfarm, employment, and USA.

Graph and download economic data for Unemployment Rate in Fulton County, GA (GAFULT1URN) from Jan 1990 to Aug 2025 about Fulton County, GA; Atlanta; GA; unemployment; rate; and USA.

Graph and download economic data for Unemployment Rate in Fayette County, GA (GAFAYE3URN) from Jan 1990 to Aug 2025 about Fayette County, GA; Atlanta; GA; unemployment; rate; and USA.

View monthly updates and historical trends for Atlanta, DeKalb County, GA Unemployment Rate. Source: Bureau of Labor Statistics. Track economic data with …

Atlanta-Sandy Springs-Alpharetta, GA - Unemployment Rate in Atlanta-Sandy Springs-Roswell, GA (MSA) was 3.50% in August of 2025, according to the United States Federal Reserve. Historically, Atlanta-Sandy Springs-Alpharetta, GA - Unemployment Rate in Atlanta-Sandy Springs-Roswell, GA (MSA) reached a record high of 12.30 in April of 2020 and a record low of 2.50 in April of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Atlanta-Sandy Springs-Alpharetta, GA - Unemployment Rate in Atlanta-Sandy Springs-Roswell, GA (MSA) - last updated from the United States Federal Reserve on October of 2025.

This map shows a visual comparison of unemployment and diversity in Atlanta, Georgia. The Diversity Index represents the likelihood that two people, chosen at random from the same area, belong to different race or ethnic groups. Areas range from 0 (no diversity) to 100 (completely diverse).Both color and size are used to allow both attributes to be shown at once. The color shows the diversity in an area, with yellow showing the most diversity and blue showing areas with less diversity. The size of the circles shows the unemployment rate relative to the size, with larger circles showing areas of higher unemployment.This data was created using Esri's ArcGIS Online data enrichment with the Block Group Areas Living Atlas Analysis layer. The vintage of the data is 2015.

Graph and download economic data for Unemployment Rate in Cobb County, GA (GACOBB0URN) from Jan 1990 to Aug 2025 about Cobb County, GA; Atlanta; GA; unemployment; rate; and USA.

ARC’s long-range, regional control forecasts were developed using the Regional Economic Models, Incorporated (REMI) econometric model. Additionally, the ARC regional forecast was steered and endorsed by a Technical Advisory Committee (TAC). The TAC comprised of 26 regional economists and policy advisors who reviewed and recommended model calibration, modeling assumptions, and forecast outcomes through 2050.The forecasting model relates change in the region’s population and jobs to national expectations. The model is carefully calibrated based on historical data for the Atlanta Region and the nation. The forecast series is developed from a 2015 baseline and runs to a 2050 horizon year. Methods, inputs, and outputs are reviewed not only by the TAC but also by an internal planning advisory group. The internal planning advisory group consists of 7 members. Members of the group bring specific specialties with experiences and knowledge in natural resources, community development and planning, workforce solutions, transportation, and aging and independent services to collaborate on the preliminary forecast providing feedback from a regional planning perspective. Within any forecast model there are key assumptions underlying the forecasts. ARC and the TAC made assumptions concerning survival rates, birth rates, labor force, employment base forecast, unemployment rates, special populations, and migration patterns. Incorporation of these assumptions insures that the resulting regional forecast is consistent with reasonable expectations of change in the entire Region and United States economy.Additional details: Employment refers to the number of jobs available in a geographic area. Households and Population are derived from two different universes, and therefore it is not possible to use this dataset to determine residents per household.For more information, visit https://atlantaregional.org/atlanta-region/population-employment-forecasts/.

Graph and download economic data for Unemployment Rate in DeKalb County, GA (GADEKA9URN) from Jan 1990 to Aug 2025 about De Kalb County, GA; Atlanta; GA; unemployment; rate; and USA.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Atlanta. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Atlanta, the median income for all workers aged 15 years and older, regardless of work hours, was $58,419 for males and $33,000 for females.

These income figures highlight a substantial gender-based income gap in Atlanta. Women, regardless of work hours, earn 56 cents for each dollar earned by men. This significant gender pay gap, approximately 44%, underscores concerning gender-based income inequality in the city of Atlanta.

- Full-time workers, aged 15 years and older: In Atlanta, among full-time, year-round workers aged 15 years and older, males earned a median income of $83,750, while females earned $53,438, leading to a 36% gender pay gap among full-time workers. This illustrates that women earn 64 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Atlanta, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Atlanta median household income by race. You can refer the same here

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable.

For a deep dive into the data model including every specific metric, see the ACS 2016-2020 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.

Prefixes:

None

Count

p

Percent

r

Rate

m

Median

a

Mean (average)

t

Aggregate (total)

ch

Change in absolute terms (value in t2 - value in t1)

pch

Percent change ((value in t2 - value in t1) / value in t1)

chp

Change in percent (percent in t2 - percent in t1)

s

Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed

Suffixes:

_e20

Estimate from 2016-20 ACS

_m20

Margin of Error from 2016-20 ACS

_e10

2006-10 ACS, re-estimated to 2020 geography

_m10

Margin of Error from 2006-10 ACS, re-estimated to 2020 geography

_e10_20

Change, 2010-20 (holding constant at 2020 geography)

Geographies

AAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)

ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)

Census Tracts (statewide)

CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)

City (statewide)

City of Atlanta Council Districts (City of Atlanta)

City of Atlanta Neighborhood Planning Unit (City of Atlanta)

City of Atlanta Neighborhood Planning Unit STV (subarea of City of Atlanta)

City of Atlanta Neighborhood Statistical Areas (City of Atlanta)

County (statewide)

Georgia House (statewide)

Georgia Senate (statewide)

MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)

Regional Commissions (statewide)

State of Georgia (statewide)

Superdistrict (ARC region)

US Congress (statewide)

UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)

WFF = Westside Future Fund (subarea of City of Atlanta)

ZIP Code Tabulation Areas (statewide)

The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2016-2020). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

For further explanation of ACS estimates and margin of error, visit Census ACS website.

Source: U.S. Census Bureau, Atlanta Regional Commission Date: 2016-2020 Data License: Creative Commons Attribution 4.0 International (CC by 4.0)

Link to the manifest: https://opendata.atlantaregional.com/documents/GARC::acs-2020-data-manifest/about

Graph and download economic data for Unemployment Rate in Clayton County, GA (GACLAY5URN) from Jan 1990 to Aug 2025 about Clayton County, GA; Atlanta; GA; unemployment; rate; and USA.

Comprehensive demographic dataset for Rivers Station, Atlanta, GA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Graph and download economic data for Unemployment Rate in Fulton County, GA (LAUCN131210000000003A) from 1990 to 2024 about Fulton County, GA; Atlanta; GA; unemployment; rate; and USA.

Graph and download economic data for Unemployment Rate in Rockdale County, GA (GAROCK7URN) from Jan 1990 to Aug 2025 about Rockdale County, GA; Atlanta; GA; unemployment; rate; and USA.

Graph and download economic data for Unemployment Rate in Paulding County, GA (GAPAUL3URN) from Jan 1990 to Aug 2025 about Paulding County, GA; Atlanta; GA; unemployment; rate; and USA.

Graph and download economic data for Employed Persons in Gwinnett County, GA (LAUCN131350000000005) from Jan 1990 to Aug 2025 about Gwinnett County, GA; Atlanta; GA; household survey; persons; employment; and USA.

Graph and download economic data for Unemployment Rate in Coweta County, GA (GACOWE7URN) from Jan 1990 to Aug 2025 about Coweta County, GA; Atlanta; GA; unemployment; rate; and USA.