Richard M. Fairbanks Foundation Releases Community Data Snapshot One-Stop Shop for Data

This tool provides education, health, and vitality data about Indianapolis and the state

Did you know: 
•    Fentanyl was present in 86% of fatal Marion County drug poisonings (overdoses) in 2022?
•    15% of Marion County residents lived in poverty in 2023?
•    21% of Marion County eighth graders passed the ILEARN math assessment in 2024?

    
All of this data – and more – is available on a tool called the Community Data Snapshot (CDS), which offers a comprehensive view of local education, health, and vitality data. Built by the Richard M. Fairbanks Foundation, the CDS compiles information from a variety of trusted sources, with updates added as they become available.

The CDS is designed to help grantees, other foundations, civic leaders, and anyone living in Marion County better understand the critical issues impacting our city and state. Whether you are working to improve local conditions or seeking to understand the challenges and opportunities in Indianapolis, the CDS can provide the information necessary to make data-informed decisions.

Each month, this newsletter features a key data point from a recently updated graph, similar to what you see below. Also, keep an eye out for CDS data in the media, including a recent article from MirrorIndy.

Do you have questions about the Community Data Snapshot? Would you like a demonstration on how to use the tool? Email CommunityDataSnapshot@RMFF.org to get in touch with the Fairbanks Foundation’s learning and evaluation team.

Community Data Snapshot: Per capita income

In Marion County, the per capita income for white individuals in 2023 was $48,397. This is about 1.8 times the per capita income for Black or African American individuals ($26,990) and nearly 2.5 times the per capita income for Hispanic or Latino individuals ($19,437).

View more details about per capita income in the vitality section of our Community Data Snapshot, where you can also view other recently updated graphs, including:

• Labor force participation  
• Unemployment  
• Median earnings Household income  
• Poverty rate  
• Home rental and ownership 
• Owner housing costs
• Rent burden 
• Location of employment 
• Mode of transportation to work 
• Travel time to work 
• Computer and internet access