Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Barrow County, GA (S1701ACS013013) from 2012 to 2023 about Barrow County, GA; Atlanta; GA; poverty; percent; 5-year; population; and USA.

Yearly (annual) dataset of the Georgia Poverty Rate, including historical data, latest releases, and long-term trends from 1996-12-31 to 2023-12-31. Available for free download in CSV format.

11.8 (%) 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.

Historical 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 Muscogee County, GA (S1701ACS013215) from 2012 to 2023 about Muscogee County, GA; Columbus; GA; poverty; percent; 5-year; population; and USA.

In Georgia, the poverty rate is 13.5% and the uninsured rate is 12.6%. Percent of people below the federal poverty line and the share without health insurance. Source: ACS 5-year estimates (derived).

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 Gwinnett County, GA (S1701ACS013135) from 2012 to 2023 about Gwinnett County, GA; Atlanta; GA; poverty; percent; 5-year; population; and USA.

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;

0.8 (%) in 2019. Poverty gap at $1.90 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $1.90 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.

Census Tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity that are updated by local participants prior to each decennial census as part of the Census Bureau's Participant Statistical Areas Program. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. To determine a person's poverty status, one compares the person's total family income in the last 12 months with the poverty threshold appropriate for that person's family size and composition (see example below). If the total income of that person's family is less than the threshold appropriate for that family, then the person is considered "below the poverty level," together with every member of his or her family. If a person is not living with anyone related by birth, marriage, or adoption, then the person's own income is compared with his or her poverty threshold. The total number of people below the poverty level is the sum of people in families and the number of unrelated individuals with incomes in the last 12 months below the poverty threshold.Since ACS is a continuous survey, people respond throughout the year. Because the income questions specify a period covering the last 12 months, the appropriate poverty thresholds are determined by multiplying the base-year poverty thresholds (1982) by the average of the monthly inflation factors for the 12 months preceding the data collection. See the table in Appendix A titled "Poverty Thresholds in 1982, by Size of Family and Number of Related Children Under 18 Years (Dollars)," for appropriate base thresholds. See the table "The 2012 Poverty Factors" in Appendix A for the appropriate adjustment based on interview month.Poverty status was determined for all people except institutionalized people, people in military group quarters, people in college dormitories, and unrelated individuals under 15 years old. These groups were excluded from the numerator and denominator when calculating poverty rates.

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.

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;

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.

Block Groups (BGs) are statistical divisions of census tracts, are generally defined to contain between 600 and 3,000 people, and are used to present data and control block numbering. A block group consists of clusters of blocks within the same census tract that have the same first digit of their four-digit census block number.This map is necessary for the CDBG team within DCA.About Poverty Data from the American Community Survey explained by SocialExplorer:Poverty statistics in American Community Survey products adhere to the standards specified by the Office of Management and Budget in Statistical Policy Directive 14. The Census Bureau uses a set of dollar value thresholds that vary by family size and composition to determine who is in poverty. Further, poverty thresholds for people living alone or with nonrelatives (unrelated individuals) vary by age (under 65 years or 65 years and older). The poverty thresholds for two-person families also vary by the age of the householder. If a family's total income is less than the dollar value of the appropriate threshold, then that family and every individual in it are considered to be in poverty. Similarly, if an unrelated individual's total income is less than the appropriate threshold, then that individual is considered to be in poverty.In determining the poverty status of families and unrelated individuals, the Census Bureau uses thresholds (income cutoffs) arranged in a two-dimensional matrix. The matrix consists of family size (from one person to nine or more people) cross-classified by presence and number of family members under 18 years old (from no children present to eight or more children present). Unrelated individuals and two-person families are further differentiated by age of reference person (householder) (under 65 years old and 65 years old and over).

To determine a person's poverty status, one compares the person's total family income in the last 12 months with the poverty threshold appropriate for that person's family size and composition (see example below). If the total income of that person's family is less than the threshold appropriate for that family, then the person is considered "below the poverty level," together with every member of his or her family. If a person is not living with anyone related by birth, marriage, or adoption, then the person's own income is compared with his or her poverty threshold. The total number of people below the poverty level is the sum of people in families and the number of unrelated individuals with incomes in the last 12 months below the poverty threshold.

Since ACS is a continuous survey, people respond throughout the year. Because the income questions specify a period covering the last 12 months, the appropriate poverty thresholds are determined by multiplying the base-year poverty thresholds (1982) by the average of the monthly inflation factors for the 12 months preceding the data collection. See the table in Appendix A titled "Poverty Thresholds in 1982, by Size of Family and Number of Related Children Under 18 Years (Dollars)," for appropriate base thresholds. See the table "The 2012 Poverty Factors" in Appendix A for the appropriate adjustment based on interview month.

For example, consider a family of three with one child under 18 years of age, interviewed in July 2013 and reporting a total family income of $14,000 for the last 12 months (July 2012 to June 2013). The base year (1982) threshold for such a family is $7,765, while the average of the 12 inflation factors is 2.35795. Multiplying $7,765 by 2.35795 determines the appropriate poverty threshold for this family type, which is $18,309. Comparing the family's income of $14,000 with the poverty threshold shows that the family and all people in the family are considered to have been in poverty. The only difference for determining poverty status for unrelated individuals is that the person's individual total income is compared with the threshold rather than the family's income.Poverty status was determined for all people except institutionalized people, people in military group quarters, people in college dormitories, and unrelated individuals under 15 years old. These groups were excluded from the numerator and denominator when calculating poverty rates.

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;

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.

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; poverty; percent; 5-year; population; and USA.

Poverty 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.

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.