In 2023, about 12.8 percent of North Carolina'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. . The poverty rate of the United States can be accessed here.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Rutherford County, NC (S1701ACS037161) from 2012 to 2023 about Rutherford County, NC; NC; percent; poverty; 5-year; population; and USA.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in New Hanover County, NC (S1701ACS037129) from 2012 to 2023 about New Hanover County, NC; Wilmington; NC; percent; poverty; 5-year; population; and USA.

Percentage of Poverty data for North Carolina and all counties.

Geospatial data about Forsyth County, North Carolina Percent of Households with Income Below Poverty Level. Export to CAD, GIS, PDF, CSV and access via API.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Wayne County, NC (S1701ACS037191) from 2012 to 2023 about Wayne County, NC; Goldsboro; NC; percent; poverty; 5-year; population; and USA.

These data identify persistent poverty counties for 10|20|30 funding formulas. In these counties, at least 20% of the population had incomes below poverty in 1997, 2007, 2017, and 2020 as estimated by the Small Area Income & Poverty Estimates (SAIPE) from the US Census Bureau. These data also indicate how many times a county met this threshold for these 4 periods (from 0 to 4). In addition, these data include the total number of census tracts and tracts consisting of 20% or more of the population with incomes below poverty (considered "high poverty" tracts) based on the 2015-2019 American Community Survey estimates. The data also include the percent in poverty and the population in poverty for these four periods. Please note that LINC also includes historical data on poverty from the American Community Survey and the 2000 and before decennial census. These estimates may differ. In addition, the choice of different time periods may lead to different results regarding persistent poverty counties and numbers of high poverty census tracts.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Scotland County, NC (S1701ACS037165) from 2012 to 2023 about Scotland County, NC; NC; percent; poverty; 5-year; population; and USA.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in McDowell County, NC (S1701ACS037111) from 2012 to 2023 about McDowell County, NC; NC; percent; poverty; 5-year; population; and USA.

Population Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Rowan County, North Carolina by age, education, race, gender, work experience and more.

Population 25 years and over Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Whiteville, North Carolina by age, education, race, gender, work experience and more.

Black or African American Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Chapel Hill, North Carolina by age, education, race, gender, work experience and more.

Spatial Dataset used to display Census Tracts for the year 2011-2015 in Mecklenburg County, North Carolina. This dataset includes attributes such as census tracts and block groups.The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Halifax County, NC (S1701ACS037083) from 2012 to 2023 about Halifax County, NC; NC; percent; poverty; 5-year; population; and USA.

On the U.S. Census Block Group level, the data for Poverty and Race and Ethnicity were overlaid on the map of North Carolina. If the NC DEQ definition of Underserved Communities was met (meaning the following criteria was present in the block group), the block group was selected. This criteria for the block group was compared to both the County and the State. It is selected as a potentially underserved block group if it meets the following criteria for Race/Ethnicity and Poverty: Racial/Ethnic composition: Share of nonwhites and Hispanic or Latino (of any race) is over fifty percent OR Share of nonwhites and Hispanic or Latino (of any race) is at least ten percent higher than County or State share. AND Poverty rate: Share of population experiencing poverty is over twenty percent AND Share of households in poverty is at least five percent higher than the County or State share.

Poverty Status in the Past 12 Months of Families By Family Type by Presence of Related Children Under 18 Years by Age of Related Children.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Durham County, NC (S1701ACS037063) from 2012 to 2023 about Durham County, NC; Durham; NC; percent; poverty; 5-year; population; and USA.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Beaufort County, NC (S1701ACS037013) from 2012 to 2023 about Beaufort County, NC; NC; percent; poverty; 5-year; population; and USA.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Mitchell County, NC (S1701ACS037121) from 2012 to 2023 about Mitchell County, NC; NC; percent; poverty; 5-year; population; and USA.

This study was undertaken to enable cross-community analysis of gang trends in all areas of the United States. It was also designed to provide a comparative analysis of social, economic, and demographic differences among non-metropolitan jurisdictions in which gangs were reported to have been persistent problems, those in which gangs had been more transitory, and those that reported no gang problems. Data were collected from four separate sources and then merged into a single dataset using the county Federal Information Processing Standards (FIPS) code as the attribute of common identification. The data sources included: (1) local police agency responses to three waves (1996, 1997, and 1998) of the National Youth Gang Survey (NYGS), (2) rural-urban classification and county-level measures of primary economic activity from the Economic Research Service (ERS) of the United States Department of Agriculture, (3) county-level economic and demographic data from the County and City Data Book, 1994, and from USA Counties, 1998, produced by the United States Department of Commerce, and (4) county-level data on access to interstate highways provided by Tom Ricketts and Randy Randolph of the University of North Carolina at Chapel Hill. Variables include the FIPS codes for state, county, county subdivision, and sub-county, population in the agency jurisdiction, type of jurisdiction, and whether the county was dependent on farming, mining, manufacturing, or government. Other variables categorizing counties include retirement destination, federal lands, commuting, persistent poverty, and transfer payments. The year gang problems began in that jurisdiction, number of youth groups, number of active gangs, number of active gang members, percent of gang members who migrated, and the number of gangs in 1996, 1997, and 1998 are also available. Rounding out the variables are unemployment rates, median household income, percent of persons in county below poverty level, percent of family households that were one-parent households, percent of housing units in the county that were vacant, had no telephone, or were renter-occupied, resident population of the county in 1990 and 1997, change in unemployment rates, land area of county, percent of persons in the county speaking Spanish at home, and whether an interstate highway intersected the county.