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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).
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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; poverty; percent; 5-year; population; and USA.
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TwitterIn 2023, the poverty headcount ratio at national poverty lines in Georgia was 11.8 percent. Between 2006 and 2023, the figure dropped by 25.1 percentage points, though the decline followed an uneven course rather than a steady trajectory.
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Poverty headcount ratio at national poverty lines (% of population) in Georgia was reported at 9.4 % in 2024, 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 October of 2025.
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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; poverty; percent; 5-year; population; and USA.
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Twitter11.8 (%) in 2023. National poverty rate is the percentage of the population living below the national poverty line. National estimates are based on population-weighted subgroup estimates from household surveys.
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Georgia Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data was reported at 4.950 % in 2021. This records an increase from the previous number of 4.920 % for 2020. Georgia Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data is updated yearly, averaging 3.785 % from Dec 1997 (Median) to 2021, with 24 observations. The data reached an all-time high of 5.330 % in 2019 and a record low of 1.440 % in 1998. Georgia Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % 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. This indicator shows the fraction of a country’s population experiencing out-of-pocket health impoverishing expenditures, defined as expenditures without which the household they live in would have been above the 60% median consumption but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).;Global Health Observatory. Geneva: World Health Organization; 2023. (https://www.who.int/data/gho/data/themes/topics/financial-protection);Weighted average;This indicator is related to Sustainable Development Goal 3.8.2 [https://unstats.un.org/sdgs/metadata/].
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Historical dataset showing Georgia poverty rate by year from 1996 to 2023.
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Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Chatham County, GA (S1701ACS013051) from 2012 to 2023 about Chatham County, GA; Savannah; GA; poverty; percent; 5-year; population; and USA.
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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.
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Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Muscogee County, GA (S1701ACS013215) from 2012 to 2023 about Muscogee County, GA; Columbus; GA; poverty; percent; 5-year; population; and USA.
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Georgia GE: Increase in Poverty Gap at $3.20: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: % of Poverty Line data was reported at 2.447 % in 2013. This records a decrease from the previous number of 2.659 % for 2012. Georgia GE: Increase in Poverty Gap at $3.20: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: % of Poverty Line data is updated yearly, averaging 1.820 % from Dec 1997 (Median) to 2013, with 17 observations. The data reached an all-time high of 2.952 % in 2009 and a record low of 0.895 % in 1998. Georgia GE: Increase in Poverty Gap at $3.20: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: % of Poverty Line 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. Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, as a percentage of the $3.20 poverty line. The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending.; ; World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.; Weighted average;
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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; poverty; percent; 5-year; population; and USA.
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Georgia GE: Number of People Pushed Below the $1.90: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP data was reported at 116,000.000 Person in 2013. This records a decrease from the previous number of 143,000.000 Person for 2012. Georgia GE: Number of People Pushed Below the $1.90: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP data is updated yearly, averaging 103,000.000 Person from Dec 1997 (Median) to 2013, with 17 observations. The data reached an all-time high of 143,000.000 Person in 2012 and a record low of 49,000.000 Person in 1998. Georgia GE: Number of People 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.WDI: Poverty. Number of people pushed below the $1.90 ($ 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;
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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.
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Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Bibb County, GA (S1701ACS013021) from 2012 to 2023 about Bibb County, GA; Macon; GA; poverty; percent; 5-year; population; and USA.
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TwitterPoverty ratio at $5.5 a day of Georgia slipped by 1.18% from 42.5 % in 2018 to 42.0 % in 2019. Since the 1.50% improve in 2010, poverty ratio at $5.5 a day sank by 30.92% in 2019. Poverty headcount ratio at $5.50 a day is the percentage of the population living on less than $5.50 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.
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Georgia GE: Proportion of Population Pushed Below the $3.10: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP: % data was reported at 5.327 USD in 2013. This records an increase from the previous number of 5.031 USD for 2012. Georgia GE: Proportion of Population Pushed Below the $3.10: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP: % data is updated yearly, averaging 3.514 USD from Dec 1997 (Median) to 2013, with 17 observations. The data reached an all-time high of 6.213 USD in 2009 and a record low of 1.487 USD in 1997. Georgia GE: Proportion of Population 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: Poverty. Proportion of population pushed below the $3.10 ($ 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;
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Percent of Population Below the Poverty Level (5-year estimate) in Jeff Davis County, GA was 26.60% in January of 2023, according to the United States Federal Reserve. Historically, Percent of Population Below the Poverty Level (5-year estimate) in Jeff Davis County, GA reached a record high of 26.60 in January of 2023 and a record low of 20.40 in January of 2020. 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 Jeff Davis County, GA - last updated from the United States Federal Reserve on October of 2025.
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TwitterIn 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.