In 2023, about 13.6 percent of Georgia's population lived below the poverty line. This accounts for persons or families whose collective income in the preceding 12 months was below the national poverty level of the United States.

Georgia Poverty Headcount Ratio at Societal Poverty Lines: % of Population data was reported at 25.000 % in 2022. This records a decrease from the previous number of 27.100 % for 2021. Georgia Poverty Headcount Ratio at Societal Poverty Lines: % of Population data is updated yearly, averaging 32.400 % from Dec 1996 (Median) to 2022, with 27 observations. The data reached an all-time high of 38.700 % in 2001 and a record low of 25.000 % in 2022. Georgia Poverty Headcount Ratio at Societal Poverty Lines: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Social: Poverty and Inequality. The poverty headcount ratio at societal poverty line is the percentage of a population living in poverty according to the World Bank's Societal Poverty Line. The Societal Poverty Line is expressed in purchasing power adjusted 2017 U.S. dollars and defined as max($2.15, $1.15 + 0.5*Median). This means that when the national median is sufficiently low, the Societal Poverty line is equivalent to the extreme poverty line, $2.15. For countries with a sufficiently high national median, the Societal Poverty Line grows as countries’ median income grows.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Lamar County, GA (S1701ACS013171) from 2012 to 2023 about Lamar County, GA; Atlanta; GA; percent; poverty; 5-year; population; and USA.

The poverty headcount ratio at national poverty lines in Georgia decreased to 15.6 percent compared to the previous year. In 2022, the poverty headcount ratio thereby reached its lowest value in recent years. These figures refer to the share of the population living below the poverty line, based on parameters set by relevant authorities.Find more key insights for the poverty headcount ratio at national poverty lines in countries like Armenia.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Baldwin County, GA (S1701ACS013009) from 2012 to 2023 about Baldwin County, GA; GA; percent; poverty; 5-year; population; and USA.

Poverty headcount ratio at national poverty lines (% of population) in Georgia was reported at 11.8 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Georgia - Poverty headcount ratio at national poverty line (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Historical chart and dataset showing Georgia poverty rate by year from 1996 to 2023.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Clarke County, GA (S1701ACS013059) from 2012 to 2023 about Clarke County, GA; Athens; GA; percent; poverty; 5-year; population; and USA.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Gwinnett County, GA (S1701ACS013135) from 2012 to 2023 about Gwinnett County, GA; Atlanta; GA; percent; poverty; 5-year; population; and USA.

Georgia GE: Proportion of Population Pushed Below the $1.90: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP: % data was reported at 3.070 % in 2013. This records a decrease from the previous number of 3.745 % for 2012. Georgia GE: Proportion of Population Pushed Below the $1.90: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP: % data is updated yearly, averaging 2.485 % from Dec 1997 (Median) to 2013, with 17 observations. The data reached an all-time high of 3.745 % in 2012 and a record low of 1.091 % in 1998. Georgia GE: Proportion of Population Pushed Below the $1.90: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Poverty. Proportion of population pushed below the $1.90 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure, expressed as a percentage of a total population of a country; ; Wagstaff et al. Progress on Impoverishing Health Spending: Results for 122 Countries. A Retrospective Observational Study, Lancet Global Health 2017.; Weighted Average;

Georgia GE: Poverty Headcount Ratio at National Poverty Lines: % of Population data was reported at 21.900 % in 2017. This records a decrease from the previous number of 22.000 % for 2016. Georgia GE: Poverty Headcount Ratio at National Poverty Lines: % of Population data is updated yearly, averaging 32.900 % from Dec 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 38.800 % in 2007 and a record low of 21.600 % in 2015. Georgia GE: Poverty Headcount Ratio at National Poverty Lines: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Poverty. National poverty headcount ratio is the percentage of the population living below the national poverty lines. National estimates are based on population-weighted subgroup estimates from household surveys.; ; World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.; ; This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

This layer shows poverty status by age group. This is shown by tract, county, and state centroids. 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. Poverty status is based on income in past 12 months of survey. This layer is symbolized to show the count and percentage of the population whose income falls below the Federal poverty line. 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): B17020, C17002Data 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.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Lowndes County, GA (S1701ACS013185) from 2012 to 2023 about Lowndes County, GA; Valdosta; GA; percent; poverty; 5-year; population; and USA.

Union Point, Georgia Poverty Rate Statistics for 2023. Analyze over 60 metrics of the Union Point, Georgia poverty database including by age, education, race, gender, work experience and more. In Union Point, Georgia, an estimated 285 of 1,609 people live in poverty, which is 17.7%. Compared to the national average of 12.6%, the poverty rate in Union Point is 40.48% higher.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, GA (S1701ACS013089) from 2012 to 2023 about De Kalb County, GA; Atlanta; GA; percent; poverty; 5-year; population; and USA.

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 population in poverty by Georgia House 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

PopPovDet_e

# Population for whom poverty status is determined, 2017

PopPovDet_m

# Population for whom poverty status is determined, 2017 (MOE)

PopPov_e

# Population below poverty, 2017

PopPov_m

# Population below poverty, 2017 (MOE)

pPopPov_e

% Population below poverty, 2017

pPopPov_m

% Population below poverty, 2017 (MOE)

PopPovU18Det_e

# Population under 18 years for whom poverty status is determined, 2017

PopPovU18Det_m

# Population under 18 years for whom poverty status is determined, 2017 (MOE)

PopPovU18_e

# Population under 18 years below poverty, 2017

PopPovU18_m

# Population under 18 years below poverty, 2017 (MOE)

pPopPovU18_e

% Population under 18 years below poverty, 2017

pPopPovU18_m

% Population under 18 years below poverty, 2017 (MOE)

PopPov18_64Det_e

# Population 18 to 64 years for whom poverty status is determined, 2017

PopPov18_64Det_m

# Population 18 to 64 years for whom poverty status is determined, 2017 (MOE)

PopPov18_64_e

# Population 18 to 64 years below poverty, 2017

PopPov18_64_m

# Population 18 to 64 years below poverty, 2017 (MOE)

pPopPov18_64_e

% Population 18 to 64 years below poverty, 2017

pPopPov18_64_m

% Population 18 to 64 years below poverty, 2017 (MOE)

PopPov65PDet_e

# Population 65 years and over for whom poverty status is determined, 2017

PopPov65PDet_m

# Population 65 years and over for whom poverty status is determined, 2017 (MOE)

PopPov65P_e

# Population 65 years and over below poverty, 2017

PopPov65P_m

# Population 65 years and over below poverty, 2017 (MOE)

pPopPov65P_e

% Population 65 years and over below poverty, 2017

pPopPov65P_m

% Population 65 years and over below poverty, 2017 (MOE)

FamWChildPovStat_e

# Families with related children, 2017

FamWChildPovStat_m

# Families with related children, 2017 (MOE)

FamWChild150Pov_e

# Families with related children below 150 percent of the poverty line, 2017

FamWChild150Pov_m

# Families with related children below 150 percent of the poverty line, 2017 (MOE)

pFamWChild150Pov_e

% Families with related children below 150 percent of the poverty line, 2017

pFamWChild150Pov_m

% Families with related children below 150 percent of the poverty line, 2017 (MOE)

ChildPovStatRatio_e

# Children for whom poverty status is determined, 2017

ChildPovStatRatio_m

# Children for whom poverty status is determined, 2017 (MOE)

ChildInFam200Pov_e

# Children in families below 200 percent of the poverty line, 2017

ChildInFam200Pov_m

# Children in families below 200 percent of the poverty line, 2017 (MOE)

pChildInFam200Pov_e

% Children in families below 200 percent of the poverty line, 2017

pChildInFam200Pov_m

% Children in families below 200 percent of the poverty line, 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.

Fulton County, Georgia Poverty Rate Statistics for 2023. Analyze over 60 metrics of the Fulton County, Georgia poverty database including by age, education, race, gender, work experience and more. 12.7% Poverty Rate in Fulton County, Georgia

Georgia GE: Number of People Pushed Below the $3.10: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP data was reported at 201,000.000 Person in 2013. This records an increase from the previous number of 192,000.000 Person for 2012. Georgia GE: Number of People Pushed Below the $3.10: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP data is updated yearly, averaging 147,000.000 Person from Dec 1997 (Median) to 2013, with 17 observations. The data reached an all-time high of 247,000.000 Person in 2009 and a record low of 67,000.000 Person in 1997. Georgia GE: Number of People Pushed Below the $3.10: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Poverty. Number of people pushed below the $3.10 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure; ; Wagstaff et al. Progress on Impoverishing Health Spending: Results for 122 Countries. A Retrospective Observational Study, Lancet Global Health 2017.; Sum;

These data were 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 2018-2022 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. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e22Estimate from 2018-22 ACS_m22Margin of Error from 2018-22 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_22Change, 2010-22 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLineStatistical (buffer)BeltLineStatisticalSub (subareas)Census Tract (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 Statistical Areas (City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)HSSA = High School Statistical Area (11 county region)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)State of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)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 2018-2022). 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 CommissionDate: 2018-2022Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/3b86ee614e614199ba66a3ff1ebfe3b5/about

Percent of Population Below the Poverty Level (5-year estimate) in Glynn County, GA was 16.30% in January of 2023, according to the United States Federal Reserve. Historically, Percent of Population Below the Poverty Level (5-year estimate) in Glynn County, GA reached a record high of 19.70 in January of 2014 and a record low of 16.30 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Percent of Population Below the Poverty Level (5-year estimate) in Glynn County, GA - last updated from the United States Federal Reserve on June of 2025.