Graph and download economic data for Civilian Labor Force in Fulton County, GA (GAFULT1LFN) from Jan 1990 to May 2025 about Fulton County, GA; Atlanta; civilian; GA; labor force; labor; and USA.

Graph and download economic data for Employed Persons in Fulton County, GA (LAUCN131210000000005) from Jan 1990 to May 2025 about Fulton County, GA; Atlanta; GA; household survey; employment; persons; and USA.

This dataset contains monthly unemployment rates over the past 14 months for Fulton County, the Atlanta MSA, Georgia and the U.S. Data come from the Bureau of Labor Statistics.

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.

This dataset is derived from the Quarterly Census of Employment & Wages (QCEW) from the U.S. Bureau of Labor Statistics for Fulton County, the Atlanta MSA and the U.S. The dataset includes QCEW data aggregated down to the NAICS Sector (e.g. NAICS 23 Construction, NAICS 31-33 Manufacturing). Information on each quarter, geographic area and industry include total employment, total number of establishments and average wages.

This dataset contains the number of persons employed in Fulton County by industry sector (using the NAICS definitions). Employment figures are given for two time periods: the most recent reported by the U.S. Bureau of Labor Statistics and a reference period 5 years prior to the most recent.

Graph and download economic data for Unemployment Rate in Fulton County, GA (GAFULT1URN) from Jan 1990 to Apr 2025 about Fulton 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 Fulton County. 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 Fulton County, the median income for all workers aged 15 years and older, regardless of work hours, was $61,015 for males and $42,123 for females.

These income figures highlight a substantial gender-based income gap in Fulton County. Women, regardless of work hours, earn 69 cents for each dollar earned by men. This significant gender pay gap, approximately 31%, underscores concerning gender-based income inequality in the county of Fulton County.

- Full-time workers, aged 15 years and older: In Fulton County, among full-time, year-round workers aged 15 years and older, males earned a median income of $89,275, while females earned $67,085, leading to a 25% gender pay gap among full-time workers. This illustrates that women earn 75 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Fulton County.

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 Fulton County median household income by race. You can refer the same here

This dataset contains the average real wages for Fulton County, metro Atlanta and the U.S. calculated semi-annually. Real wages represent actual (nominal) wages adjusted for inflation using the Consumer Price Index (CPI). Real wages are expressed in terms of 1982-1984 dollars. Semi-annual numbers are used because local area wages are reported by the Bureau of Labor Statistics (BLS) quarterly and CPI is reported every two months; therefore, reporting periods coincide twice a year. Real wages are reported as moving 12-month averages in order to better illustrate the general trend over time. Nominal wages and CPI are from the BLS; semi-annual real wages are calculated by the Fulton County Strategy & Performance Management Office.

Graph and download economic data for Unemployed Persons in Fulton County, GA (LAUCN131210000000004) from Jan 1990 to Apr 2025 about Fulton County, GA; Atlanta; GA; household survey; unemployment; persons; and USA.

Graph and download economic data for Number of Private Establishments for All Industries in Fulton County, GA (ENU1312120510) from Q1 1990 to Q4 2024 about Fulton County, GA; Atlanta; establishments; GA; private industries; private; industry; and USA.

This dataset contains the quarterly average weekly wage over all industries for Fulton County, the Atlanta MSA and the U.S. The average weekly wage is calculated as the 12-month moving average of the reported quarterly average weekly wage in order to smooth out large seasonal variations.

This dataset contains the GDP for each county in the U.S. GDP is given as Real GDP (thousands of chained 2012 dollars), Current-dollar GDP (thousands of current dollars) and Chain-type quantity indexes for real GDP for each year from 2001 to the most recent year for which GDP is available. The dataset was retrieved from the Bureau of Labor Statistics website.

This dataset contains historic unemployment statistics for various geographies in the state of Georgia. Geographies include cities, counties and metropolitan areas. Statistics include unemployment rate, number unemployed, number employed and number in labor force. Monthly and annual statistics are provided from 1976 to present.

This dataset contains the percentage of workers who report working from home for each county in the U.S. with a population of over 65,000 for the years 2010 to 2019. The data were taken from the U.S. Census Bureau's American Community Survey, 1-year Summary, Commuting Characteristics by Sex (S0801-C01-13).

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show unemployment numbers and percentages by Regional Commission in the Atlanta region.

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 2013-2017). 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.

Naming conventions:

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)

Suffixes:

None

Change over two periods

_e

Estimate from most recent ACS

_m

Margin of Error from most recent ACS

_00

Decennial 2000

Attributes:

SumLevel

Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

GEOID

Census tract Federal Information Processing Series (FIPS) code

NAME

Name of geographic unit

Planning_Region

Planning region designation for ARC purposes

Acres

Total area within the tract (in acres)

SqMi

Total area within the tract (in square miles)

County

County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

CountyName

County Name

Pop16P_e

# Population 16 years and over, 2017

Pop16P_m

# Population 16 years and over, 2017 (MOE)

InLabForce_e

# In labor force, 2017

InLabForce_m

# In labor force, 2017 (MOE)

pInLabForce_e

% In labor force, 2017

pInLabForce_m

% In labor force, 2017 (MOE)

CivLabForce_e

# In civilian labor force, 2017

CivLabForce_m

# In civilian labor force, 2017 (MOE)

pCivLabForce_e

% In civilian labor force, 2017

pCivLabForce_m

% In civilian labor force, 2017 (MOE)

CivEmployed_e

# Civilian employed, 2017

CivEmployed_m

# Civilian employed, 2017 (MOE)

pCivEmployed_e

% Civilian employed, 2017

pCivEmployed_m

% Civilian employed, 2017 (MOE)

Unemployed_e

# Civilian unemployed, 2017

Unemployed_m

# Civilian unemployed, 2017 (MOE)

pUnemployed_e

% Civilian unemployed, 2017

pUnemployed_m

% Civilian unemployed, 2017 (MOE)

ArmedForce_e

# In armed forces, 2017

ArmedForce_m

# In armed forces, 2017 (MOE)

pArmedForce_e

% In armed forces, 2017

pArmedForce_m

% In armed forces, 2017 (MOE)

NotLabForce_e

# Not in labor force, 2017

NotLabForce_m

# Not in labor force, 2017 (MOE)

pNotLabForce_e

% Not in labor force, 2017

pNotLabForce_m

% Not in labor force, 2017 (MOE)

pUnempOLabForce_e

% Unemployed as part of total labor force (including armed forces), 2017

pUnempOLabForce_m

% Unemployed as part of total labor force (including armed forces), 2017 (MOE)

UnempCivLabForce_e

# Civilian Unemployed, 2017

UnempCivLabForce_m

# Civilian Unemployed, 2017 (MOE)

pUnempCivLabForce_e

% Unemployment Rate, 2017

pUnempCivLabForce_m

% Unemployment Rate, 2017 (MOE)

last_edited_date

Last date the feature was edited by ARC

Source: U.S. Census Bureau, Atlanta Regional Commission

Date: 2013-2017

For additional information, please visit the Census ACS website.