The Area Deprivation Index (ADI) is a score that measures how socioeconomically disadvantaged a neighborhood is, based on factors like income, education, housing quality, and employment. Developed and maintained by researchers at the University of Wisconsin-Madison, it ranks every neighborhood in the United States on a scale from 1 (least deprived) to 100 (most deprived) at the national level. The ADI is widely used in healthcare, public health research, and federal policy to identify communities that face the greatest barriers to good health outcomes.
What the ADI Measures
The ADI draws on data from the American Community Survey, a large ongoing survey conducted by the U.S. Census Bureau. It combines roughly 17 socioeconomic indicators into a single composite score. These indicators span several dimensions of neighborhood disadvantage: poverty rates, median household income, educational attainment, employment levels, housing conditions, and family structure. Rather than looking at any one factor in isolation, the ADI blends them together to capture the overall level of disadvantage in a given area.
What makes the ADI distinctive is its geographic precision. It operates at the census block group level, which typically covers 600 to 3,000 people. That’s a much smaller area than the census tracts used by many other indices, which average around 4,000 people. This granularity matters because disadvantage can vary dramatically from one block to the next, especially in cities. A tract-level measure might average together a wealthy neighborhood and a struggling one, masking the real conditions in each.
How ADI Scores Work
The ADI provides two types of rankings. At the national level, every block group receives a percentile ranking from 1 to 100, where higher numbers indicate greater deprivation. A neighborhood at the 90th percentile nationally is more disadvantaged than 90% of all neighborhoods in the country. At the state level, block groups are ranked into deciles from 1 to 10, so you can see how a neighborhood compares to others within the same state.
These two rankings can tell different stories. A neighborhood in Mississippi that sits in the 5th state decile (middle of the pack for Mississippi) might still rank in the 70th or 80th national percentile because Mississippi as a whole has higher deprivation than most states. Conversely, researchers have found that some block groups in New York City with high poverty, low educational attainment, and challenging family structures still land in the least-deprived national deciles. This paradox likely stems from how the index weights housing and other variables that look different in dense urban environments. Understanding which ranking you’re looking at, national or state, is essential for interpreting the score correctly.
Why ADI Matters for Health
Living in a high-deprivation neighborhood is independently linked to worse health outcomes, even after accounting for individual risk factors. The ADI helps quantify that relationship. In a study published in the Journal of the American Heart Association, patients living in the most deprived neighborhoods (top ADI quintile) were 25% more likely to die within a year compared to those in the least deprived neighborhoods. The pattern held across multiple heart conditions: patients with heart failure in the highest quintile had a 25% higher risk of hospital readmission within a year, and patients with heart attacks faced more than double the readmission risk.
These aren’t small differences. A person recovering from a heart attack in a highly deprived neighborhood is roughly twice as likely to end up back in the hospital within a year as someone with the same condition in a wealthier area. The reasons are complex and overlapping: limited access to healthy food, fewer nearby healthcare providers, higher stress, less stable housing, and reduced ability to afford medications or follow-up care. The ADI doesn’t explain why these disparities exist, but it reliably identifies where they’re concentrated.
How It’s Used in Policy and Healthcare
The ADI has moved well beyond academic research into active use by federal agencies. The Centers for Medicare and Medicaid Services (CMS) incorporates neighborhood-level deprivation data into its ACO REACH payment model, which adjusts financial benchmarks based on how disadvantaged a patient’s community is. Under this model, healthcare organizations receive additional funding (up to $30 per beneficiary per month) for patients whose equity scores fall at or above the 90th percentile, with smaller adjustments at the 70th and 80th percentiles. Organizations caring for patients below the 30th percentile see a $10 per month reduction. The goal is to direct more resources toward providers serving the most disadvantaged populations.
Health systems also use ADI scores internally to identify patients who may need extra support after discharge, such as help with transportation, medication costs, or follow-up scheduling. Public health departments use the data to target interventions like mobile health clinics, food assistance programs, and community health worker outreach to the neighborhoods that need them most.
ADI vs. the Social Vulnerability Index
The ADI is not the only neighborhood disadvantage measure available. The CDC’s Social Vulnerability Index (SVI) is another widely used tool, but the two differ in important ways. The SVI operates at the census tract level rather than the block group level, making it less granular. It also incorporates a broader set of factors organized into four themes: socioeconomic status, household composition and disability, minority status and language, and housing type and transportation. The ADI focuses more narrowly on socioeconomic deprivation.
Research comparing the two indices has found that their rankings can diverge, particularly at smaller geographic scales. Two neighborhoods might look similarly deprived under one index but quite different under the other, depending on which factors dominate locally. Neither index is universally “better.” The right choice depends on the question being asked. For health equity research focused on socioeconomic disadvantage at a hyperlocal level, the ADI’s block group precision is a significant advantage.
How to Look Up Your Neighborhood’s Score
ADI data is publicly available through the Neighborhood Atlas, a free tool hosted by the University of Wisconsin-Madison. You can search by address to see both the national percentile and state decile for any block group in the United States, including Puerto Rico. The current version uses 2018 to 2022 American Community Survey data. Block groups with very small populations (fewer than 100 people, fewer than 30 housing units, or with a large share of residents in group quarters like prisons or nursing homes) are excluded from the rankings because their data isn’t statistically reliable.
The tool was originally developed by Amy Kind, MD, PhD, and her research team at UW-Madison over 15 years ago. It has since become one of the most cited neighborhood-level deprivation measures in health research and is updated as new Census Bureau data becomes available.