Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Baltimore city, MD (S1701ACS024510) from 2012 to 2023 about Baltimore City, MD; Baltimore; MD; poverty; percent; 5-year; population; and USA.

Percent of family households living below the poverty line measures the percentage of households, out of all households in an area, whose income fell below the poverty threshold. Federal and state governments use such estimates to allocate funds to local communities. Local communities use these estimates to identify the number of individuals or families eligible for various programs. Source: American Community Survey Years Available: 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2017-2021, 2018-2022, 2019-2023

Baltimore City, MD - Percent of Population Below the Poverty Level (5-year estimate) in Baltimore city, MD was 20.10% in January of 2023, according to the United States Federal Reserve. Historically, Baltimore City, MD - Percent of Population Below the Poverty Level (5-year estimate) in Baltimore city, MD reached a record high of 24.20 in January of 2014 and a record low of 19.60 in January of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Baltimore City, MD - Percent of Population Below the Poverty Level (5-year estimate) in Baltimore city, MD - last updated from the United States Federal Reserve on November of 2025.

Percent of children living below the poverty line measures the percentage of persons under the age of 18, out of all persons under the age of 18 in an area, where total household income fell below the poverty threshold. Federal and state governments use such estimates to allocate funds to local communities. Local communities use these estimates to identify the number of individuals or families eligible for various programs. Source: American Community Survey Years Available: 2010-2014, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022, 2019-2023

U.S. Census Bureau QuickFacts statistics for Baltimore city, Maryland. 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.

Percent of Population Below the Poverty Level (5-year estimate) in Baltimore County, MD was 10.00% in January of 2023, according to the United States Federal Reserve. Historically, Percent of Population Below the Poverty Level (5-year estimate) in Baltimore County, MD reached a record high of 10.20 in January of 2022 and a record low of 8.50 in January of 2012. 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 Baltimore County, MD - last updated from the United States Federal Reserve on November of 2025.

Graph and download economic data for Estimate of People of All Ages in Poverty in Baltimore County, MD (PEAAMD24005A647NCEN) from 1989 to 2023 about Baltimore County, MD; Baltimore; MD; child; poverty; persons; and USA.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Harford County, MD (S1701ACS024025) from 2012 to 2023 about Harford County, MD; Baltimore; MD; poverty; percent; 5-year; population; and USA.

A food desert in Baltimore City is an area where: 1) The distance to a supermarket or supermarket alternative is more than ¼ mile, 2) The median household income is at or below 185% of the Federal Poverty Level, 3) Over 30% of households have no vehicle available, and 4) The average Healthy Food Availability Index score for all food stores is low.

Data source: Johns Hopkins Center for a Livable Future; City of Baltimore; United States Census Bureau, American Community Survey, 2009 – 2013 5-year estimates

Date: 2015

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Carroll County, MD (S1701ACS024013) from 2012 to 2023 about Carroll County, MD; Baltimore; MD; poverty; percent; 5-year; population; and USA.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Anne Arundel County, MD (S1701ACS024003) from 2012 to 2023 about Anne Arundel County, MD; Baltimore; MD; poverty; percent; 5-year; population; and USA.

Educational Youth Indicators

School Enrollment, Attendance, Achievement, and Engagement

By City of Baltimore [source]

About this dataset

This dataset from the Baltimore Neighborhood Indicators Alliance-Jacob France Institute (BNIA-JFI) gathers information about education and youth across Baltimore. Through tracking 27 indicators grouped into seven categories - student enrollment and demographics, dropout rate and high school completion, student attendance, suspensions and expulsions, elementary and middle school student achievement, high school performance, youth labor force participation, and youth civic engagement - BNIA-JFI paints a comprehensive picture of education trends within the city limits. Data sourced from the Baltimore City Public School System (BCPSS), American Community Survey (ACS), as well as Maryland Department of Education allows for cross program comparison to better map connections between educational outcomes affected by neighborhood context. The 2009-2010 school year was used based on readily available data with an approximated 3.4% of address unable to be matched or geocoded and therefore not included in these calculations. Leveraging this data provides perspective to help guide decisions made at local government level that could impact thousands of lives in years ahead

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How to use the dataset

This dataset contains valuable information about the educational performance and youth engagement in Baltimore City. It provides data on 27 indicators, grouped into seven categories: student enrollment and demographics; dropout rate and high school completion; student attendance, suspensions and expulsions; elementary and middle school student achievement; high school performance; youth labor force participation; and youth civic engagement. This dataset can be used to answer important questions about education in Baltimore, such as examining the relationship between community conditions and educational outcomes.

Before using this dataset, it’s important to understand the source of data for each indicator (e.g., Baltimore City Public School System, American Community Survey) so you can understand potential limitations inherent in each data set. Additionally, keep in mind that this dataset does not include students whose home address cannot be geocoded or matched between datasets due to inconsistency of information or other issues - this means that comparisons between some of these indicators may not be as accurate as is achievable with other datasets available from sources such as the Maryland Department of Education or the Baltimore City Public Schools System.

Once you are familiar with where the data comes from you can use it to answer these questions by exploring different trends within Baltimore city over time:

• How have student enrollment numbers changed over time?
• What has been the overall trend in dropout rates across elementary schools?
• Are there any differences in student attendance based on school type?
• What correlations exist between neighborhood community characteristics (such as crime rates or poverty levels), and academic achievement scores?
• How have rates of labor force participation among adolescents shifted year-over-year?

And more! By looking at trends by geography within this diverse city we can gain valuable insight into what factors may play a role influencing educational outcomes for children growing up in different areas around Baltimore City - an essential step for developing methodologies for successful policy interventions targeting our most vulnerable populations!

Research Ideas

• Analyzing the correlation between student achievement and socio-economic status of the neighborhoods in which students live.
• Creating targeted policies that are tailored to address specific educational issues showcased in each Baltimore neighborhood demographic.
• Using data visualizations to demonstrate to residents and community leaders how their area is performing compared to other communities in terms of education, dropout rates, suspension rates, and more

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. [See Other Information](https://creativecommons.org/public...

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Howard County, MD (S1701ACS024027) from 2012 to 2023 about Howard County, MD; Baltimore; MD; poverty; percent; 5-year; population; and USA.

Graph and download economic data for Estimate of People of All Ages in Poverty in Anne Arundel County, MD (PEAAMD24003A647NCEN) from 1989 to 2023 about Anne Arundel County, MD; Baltimore; MD; child; poverty; persons; and USA.

In Baltimore, benches with the slogan "The Greatest City in America" can be seen throughout the city. This 3D scan is of one near my apartment. While the slogan can be interpreted as being callously ironic, given Baltimore's notoriously high crime and poverty rates, others see it as a message of hope and aspiration.

Scanned with an Artec Leo.

Source: Objaverse 1.0 / Sketchfab

The US Department of Housing and Urban Development (HUD) designates Qualified Census Tracts (QCTs) for purposes of the Low-Income Housing Tax Credit (LIHTC) program. The LIHTC program is defined in Section 42 of the Internal Revenue Code of 1986. The LIHTC is a tax incentive intended to increase the availability of affordable rental housing. The LIHTC statute provides two criteria for QCT eligibility. A census tract must have either: 1) a poverty rate of at least 25 percent; or 2) 50 percent or more of its householders must have incomes below 60 percent of the area median household income. The area corresponds to a metropolitan or a non-metropolitan area. Further, the LIHTC statute requires that no more than 20 percent of the metropolitan area population reside within designated QCTs (This limit also applies collectively to the nonmetropolitan counties in each state). Thus, it is possible for a tract to meet one or both of the above criteria, but not be designated as a QCT. With respect to the census tracts, the Census Bureau defines them in cooperation with local authorities every ten years for the purposes of the decennial census and, following a public comment period, has recently completed defining tract boundaries for the 2010 Census. Note that when census tract boundaries are set, they remain unchanged for the next decade. Thus, tract boundaries will not be changed until the 2020 Decennial Census.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Feature Service Link:https://mdgeodata.md.gov/imap/rest/services/BusinessEconomy/MD_HousingDesignatedAreas/FeatureServer/1

Graph and download economic data for Estimated Percent of People Age 0-17 in Poverty for Howard County, MD (PPU18MD24027A156NCEN) from 1989 to 2023 about Howard County, MD; Baltimore; under 18 years; MD; child; poverty; percent; and USA.

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Queen Anne's County, MD (S1701ACS024035) from 2012 to 2023 about Queen Anne'S County, MD; Baltimore; MD; poverty; percent; 5-year; population; and USA.

Mortality Hazard Ratios and 95% Confidence Intervals for African Americans relative to Whites by Sex and Poverty Status, Healthy Aging in Neighborhoods of Diversity across the Life Span Study, Baltimore, Maryland, 2004–2013 (N = 3675).

Multivariable Cox Regression Analysis on Overall Mortality, Healthy Aging in Neighborhoods of Diversity across the Life Span Study, Baltimore, Maryland, 2004–2013 (N = 3675).