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.

De Kalb County, GA - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, GA was 13.50% in January of 2023, according to the United States Federal Reserve. Historically, De Kalb County, GA - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, GA reached a record high of 19.60 in January of 2014 and a record low of 13.40 in January of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for De Kalb County, GA - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, GA - last updated from the United States Federal Reserve on December of 2025.

About this dataset

Context

The dataset tabulates the data for the DeKalb County, IL population pyramid, which represents the DeKalb County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for DeKalb County, IL, is 26.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for DeKalb County, IL, is 19.9.
• Total dependency ratio for DeKalb County, IL is 46.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for DeKalb County, IL is 5.0.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the DeKalb County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the DeKalb County for the selected age group is shown in the following column.
• Population (Female): The female population in the DeKalb County for the selected age group is shown in the following column.
• Total Population: The total population of the DeKalb County for the selected age group is shown in the following column.

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 DeKalb County Population by Age. You can refer the same here

De Kalb County, TN - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, TN was 21.40% in January of 2023, according to the United States Federal Reserve. Historically, De Kalb County, TN - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, TN reached a record high of 22.20 in January of 2016 and a record low of 17.50 in January of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for De Kalb County, TN - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, TN - last updated from the United States Federal Reserve on November of 2025.

De Kalb County, IL - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, IL was 15.90% in January of 2023, according to the United States Federal Reserve. Historically, De Kalb County, IL - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, IL reached a record high of 19.00 in January of 2013 and a record low of 15.40 in January of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for De Kalb County, IL - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, IL - last updated from the United States Federal Reserve on November of 2025.

De Kalb County, IN - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, IN was 10.10% in January of 2023, according to the United States Federal Reserve. Historically, De Kalb County, IN - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, IN reached a record high of 14.60 in January of 2015 and a record low of 10.00 in January of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for De Kalb County, IN - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, IN - last updated from the United States Federal Reserve on November of 2025.

U.S. Census Bureau QuickFacts statistics for DeKalb County, Tennessee. 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.

U.S. Census Bureau QuickFacts statistics for DeKalb County, Illinois. 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.

De Kalb County, MO - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, MO was 8.70% in January of 2023, according to the United States Federal Reserve. Historically, De Kalb County, MO - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, MO reached a record high of 15.00 in January of 2015 and a record low of 8.30 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for De Kalb County, MO - Percent of Population Below the Poverty Level (5-year estimate) in DeKalb County, MO - last updated from the United States Federal Reserve on November of 2025.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Range Relationship File contains the attributes of each address range. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in the TIGER/Line files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist. Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be determined by linking the address range to the All Lines shapefile (edges.shp) using the permanent topological edge identifier (TLID) attribute. Multiple address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each side of a street edge already appears in the All Lines Shapefile (edges.shp). The TIGER/Line files contain potential address ranges, not individual addresses.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in DeKalb County, IL, 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 9,970, while the mean income for the highest quintile (20% of households with the highest income) is 185,920. This indicates that the top earners earn 19 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 283,567, which is 152.52% higher compared to the highest quintile, and 2844.20% higher compared to the lowest quintile.

https://i.neilsberg.com/ch/dekalb-county-il-mean-household-income-by-quintiles.jpeg" alt="Mean household income by quintiles in DeKalb County, IL (in 2022 inflation-adjusted dollars))">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 2022 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 DeKalb County median household income. You can refer the same here

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Range Relationship File contains the attributes of each address range. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in the TIGER/Line files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist. Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be determined by linking the address range to the All Lines shapefile (edges.shp) using the permanent topological edge identifier (TLID) attribute. Multiple address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each side of a street edge already appears in the All Lines Shapefile (edges.shp). The TIGER/Line files contain potential address ranges, not individual addresses.

Graph and download economic data for Homeownership Rate (5-year estimate) for DeKalb County, GA (HOWNRATEACS013089) from 2009 to 2023 about De Kalb County, GA; Atlanta; homeownership; GA; 5-year; housing; rate; and USA.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Census Bureau includes landmarks in the MTS for locating special features and to help enumerators during field operations. Some of the more common landmark types include airports, cemeteries, parks, schools, and churches and other religious institutions. The Census Bureau adds landmark features to MTS on an as-needed basis and does not ensure that all instances of a particular feature are included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration. The Area Landmark shapefile does not include military installations or water bodies because they appear in their own separate shapefiles, mil.shp and areawater.shp respectively.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edges refer to the linear topological primitives that make up the MTS. The All Lines shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines shapefile are available in relationship (.dbf) files that users must download separately. The All Lines shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Range Features shapefile contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. This shapefile contains a record for each address range to street name combination. Address ranges associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that this shapefile includes all unsuppressed address ranges compared to the All Lines shapefile (edges.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefiles contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line shapefiles are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

Graph and download economic data for Single-Parent Households with Children as a Percentage of Households with Children (5-year estimate) in DeKalb County, IL (S1101SPHOUSE017037) from 2009 to 2023 about DeKalb County, IL; single-parent; Chicago; IL; households; 5-year; and USA.

Graph and download economic data for White to Non-White Racial Dissimilarity (5-year estimate) Index for DeKalb County, IL (RACEDISPARITY017037) from 2009 to 2023 about DeKalb County, IL; racial dissimilarity; non-white; white; Chicago; IL; 5-year; and USA.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Census Bureau includes landmarks in the MTS for locating special features and to help enumerators during field operations. Some of the more common landmark types include airports, cemeteries, parks, schools, and churches and other religious institutions. The Census Bureau adds landmark features to MTS on an as-needed basis and does not ensure that all instances of a particular feature are included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration. The Area Landmark shapefile does not include military installations or water bodies because they appear in their own separate shapefiles, mil.shp and areawater.shp respectively.