In 2023, the average annual pay of employees in Georgia totaled to 68,612 U.S. dollars. This is both an increase from the previous year, and from 2001 levels, when this figure stood at 35,136 U.S. dollars.

Wages in Georgia increased to 2217.50 GEL/Month in the fourth quarter of 2024 from 2056.68 GEL/Month in the third quarter of 2024. This dataset provides - Georgia Average Monthly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2023, the median household income in Georgia amounted to 72,420 U.S. dollars. This is an increase from the previous year, when the median household income in the state was 67,730 U.S. dollars. Data for the median household income in the United States as a whole may be accessed here.

Georgia Monthly Average Gross Salary: Annual data was reported at 999.134 GEL in 2017. This records an increase from the previous number of 940.010 GEL for 2016. Georgia Monthly Average Gross Salary: Annual data is updated yearly, averaging 277.872 GEL from Dec 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 999.134 GEL in 2017 and a record low of 13.500 GEL in 1995. Georgia Monthly Average Gross Salary: Annual data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.G010: Monthly Average Gross Salary.

Graph and download economic data for Estimate of Median Household Income for Georgia (MHIGA13000A052NCEN) from 1989 to 2023 about GA, households, median, income, and USA.

U.S. Census Bureau QuickFacts statistics for Georgia. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Georgia Monthly Average Gross Salary: Annual: NACE 1.1: Transport and Communications data was reported at 1,288.857 GEL in 2017. This records an increase from the previous number of 1,201.528 GEL for 2016. Georgia Monthly Average Gross Salary: Annual: NACE 1.1: Transport and Communications data is updated yearly, averaging 579.975 GEL from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 1,288.857 GEL in 2017 and a record low of 77.600 GEL in 1998. Georgia Monthly Average Gross Salary: Annual: NACE 1.1: Transport and Communications data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.G010: Monthly Average Gross Salary.

Georgia Monthly Average Gross Salary: Annual: NACE 1.1: Manufacturing data was reported at 857.105 GEL in 2017. This records an increase from the previous number of 777.279 GEL for 2016. Georgia Monthly Average Gross Salary: Annual: NACE 1.1: Manufacturing data is updated yearly, averaging 402.837 GEL from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 857.105 GEL in 2017 and a record low of 52.800 GEL in 1998. Georgia Monthly Average Gross Salary: Annual: NACE 1.1: Manufacturing data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.G010: Monthly Average Gross Salary.

Georgia Monthly Average Gross Salary: NACE 1.1: Health Care and Social Services data was reported at 998.573 GEL in Jun 2018. This records an increase from the previous number of 968.060 GEL for Mar 2018. Georgia Monthly Average Gross Salary: NACE 1.1: Health Care and Social Services data is updated quarterly, averaging 612.615 GEL from Mar 2007 (Median) to Jun 2018, with 46 observations. The data reached an all-time high of 1,038.023 GEL in Dec 2017 and a record low of 161.218 GEL in Mar 2007. Georgia Monthly Average Gross Salary: NACE 1.1: Health Care and Social Services data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.G010: Monthly Average Gross Salary.

Georgia Monthly Average Gross Salary: Male: NACE 2: Administrative & Support Service Activities data was reported at 887.114 GEL in Mar 2018. This records a decrease from the previous number of 961.867 GEL for Dec 2017. Georgia Monthly Average Gross Salary: Male: NACE 2: Administrative & Support Service Activities data is updated quarterly, averaging 845.303 GEL from Mar 2014 (Median) to Mar 2018, with 17 observations. The data reached an all-time high of 1,046.115 GEL in Dec 2015 and a record low of 668.943 GEL in Mar 2014. Georgia Monthly Average Gross Salary: Male: NACE 2: Administrative & Support Service Activities data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.G010: Monthly Average Gross Salary.

Georgia Monthly Average Gross Salary: Annual: NACE 1.1: Agriculture, Hunting and Forestry data was reported at 620.024 GEL in 2017. This records an increase from the previous number of 575.332 GEL for 2016. Georgia Monthly Average Gross Salary: Annual: NACE 1.1: Agriculture, Hunting and Forestry data is updated yearly, averaging 224.456 GEL from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 620.024 GEL in 2017 and a record low of 15.800 GEL in 1998. Georgia Monthly Average Gross Salary: Annual: NACE 1.1: Agriculture, Hunting and Forestry data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.G010: Monthly Average Gross Salary.

Georgia Monthly Average Gross Salary: Male: NACE 1.1: Restaurant and Hotel Services data was reported at 1,001.287 GEL in Jun 2018. This records an increase from the previous number of 996.075 GEL for Mar 2018. Georgia Monthly Average Gross Salary: Male: NACE 1.1: Restaurant and Hotel Services data is updated quarterly, averaging 617.357 GEL from Mar 2007 (Median) to Jun 2018, with 46 observations. The data reached an all-time high of 1,141.946 GEL in Dec 2016 and a record low of 281.899 GEL in Mar 2007. Georgia Monthly Average Gross Salary: Male: NACE 1.1: Restaurant and Hotel Services data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.G010: Monthly Average Gross Salary.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Georgia, Vermont, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 24,664, while the mean income for the highest quintile (20% of households with the highest income) is 237,813. This indicates that the top earners earn 10 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 389,400, which is 163.74% higher compared to the highest quintile, and 1578.82% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Georgia town median household income. You can refer the same here

About this dataset

Context

The dataset illustrates the median household income in Gordon County, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Gordon County increased by $4,512 (7.85%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

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 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Gordon County median household income. You can refer the same here

The Average Salary chart presents a clear visualization of the salary progression for graduates from Georgia Southwestern State University from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Georgia Southwestern State University’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Georgia Southwestern State University.

The Average Salary chart presents a clear visualization of the salary progression for graduates from Georgia State University-Perimeter College from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Georgia State University-Perimeter College’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Georgia State University-Perimeter College.

The Average Salary chart presents a clear visualization of the salary progression for graduates from Georgia Military College from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Georgia Military College’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Georgia Military College.

Georgia Monthly Average Gross Salary: Male: NACE 2: Information & Communication data was reported at 1,836.832 GEL in Mar 2018. This records a decrease from the previous number of 1,873.798 GEL for Dec 2017. Georgia Monthly Average Gross Salary: Male: NACE 2: Information & Communication data is updated quarterly, averaging 1,502.461 GEL from Mar 2014 (Median) to Mar 2018, with 17 observations. The data reached an all-time high of 1,873.798 GEL in Dec 2017 and a record low of 1,297.213 GEL in Mar 2014. Georgia Monthly Average Gross Salary: Male: NACE 2: Information & Communication data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.G010: Monthly Average Gross Salary.

About this dataset

Context

The dataset illustrates the median household income in Lithonia, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Lithonia increased by $12,334 (33.24%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 9 years and declined for 4 years.

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 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Lithonia median household income. You can refer the same here

This layer shows median household income by race and by age of householder. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey. This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.