Frequently Asked Questions

What do the ADI values mean? The ADI values on this website are provided in national percentile rankings from 1 to 100 at the census block group level. The percentiles are constructed by ranking the ADI from low to high for the nation and categorizing the census block groups/neighborhoods into groups corresponding to each 1% range of the ADI. Group 1 is the lowest ADI (least disadvantaged) and group 100 is the highest ADI (most disadvantaged). A census block group/neighborhood with a ranking of 1 indicates the lowest level of disadvantage within the nation (lowest exposure to adverse social exposome) and an ADI with a ranking of 100 indicates the highest level of disadvantage (highest exposure to adverse social exposome).

ADI values are also available in deciles from 1 to 10 for each individual state. The state deciles are constructed by ranking the ADI from low to high for each state alone without consideration of national ADIs. Again, group 1 is the lowest ADI and 10 is the highest ADI.

What methodology was used to create these ADI datasets? The following article explains the underlying methodology that was used to create the ADI datasets:

See the ADI changelog for notations of additional minor, validated changes in ADI calculation methods made in response to evolutions in ACS data.

Why are some block groups missing ADI ranks? When a census block group has less than 100 people, less than 30 housing units, more than 33% of the population living in group quarters, or census data labeled as N/A or missing in the core component variables, the ADI rank is replaced with a code describing the suppression reason. Three possible codes will appear in the ADI field: "PH" for suppression due to low population and/or housing, "GQ" for suppression due to a high group quarters population, and "PH-GQ" for suppression due to both types of suppression criteria. A code of "QDI" designates block groups without an ADI due to Questionable Data Integrity, stemming from missing data in the source ACS data.

How is the ADI used in research publications? Use of the ADI is widespread in research. The following is a sampling of current papers using the ADI:

How is the ADI used across the US? See the ADI Use Case map (coming soon!) detailing uses of the ADI across the US.

What is the difference between a percentile and a decile? A percentile splits the ADI scores into 100 equal sections, categorizing the individual block group/neighborhood, with those in the first percentile having the lowest exposure to adverse social exposome, and those in the hundredth having the most. A decile groups the ADI scores into 10 equal sections.

Percentiles are created using the ADI scores for the entire nation, and deciles are created for each state individually.

Do you have a 5-digit ZIP Code dataset available, or a ZCTA-level dataset? No. 5-digit ZIP Codes are primarily used for mail delivery. Multiple studies demonstrate the substantial loss of exposome measure precision introduced when using 5-digit ZIP code geographies as opposed to core Census geographies. Such 5-digit ZIP code or ZCTA approaches may be convenient, but they introduce substantial error and the large geographic areas they represent do not align well with Census block groups. The ADI should not be used at any levels other than the core Census geographies for which it is validated, specifically the Census block group.

Those with interest in using a ZIP-based methodology may still employ the 9-digit ZIP Code crosswalk, which was built by our team to correspond directly to census block groups and accompanies the census block group level ADI. 9-digit ZIP Codes represent smaller geographic areas that can be more precisely matched to Census block groups.

"Employment of ZIP Code Tabulation Areas to link geographic data is a convenient but, ultimately, inferior method for this sort of assessment1. It results in relatively large geographic zones with linkages that can lead to less precise estimates, especially in areas in which concentrated poverty abuts more wealthy regions." – Excerpt drawn directly from Kind et al., Health Affairs, Sept 15, 2016.

Why are some 9-digit ZIP Codes missing ADI ranks? When a nine-digit ZIP Code file does not include ADI values, it is due to one of three conditions: A "P" indicates that the ZIP Code is a post office box and not geographically representative nor included within ACS metrics. A "U" indicates a unique ZIP Code, often assigned to businesses or large footprint entities that have large volumes of mail delivery and would also be omitted from the ACS. Lastly, a blank ADI value indicates that the conversion of the block group ADI score to ZIP+4 did not produce a match. These are most common in coastal areas where a generalized ZIP+4 may be outside of a block group or offshore.

What versions of the ADI are available? The 2022 vintage ADI, constructed exclusively using the v4 methodology, the 2020 vintage ADI updated with the v4 methodologies, and the 2015 vintage ADI updated with the v4 methodologies are the only versions of the ADI currently available on the Neighborhood Atlas.

Can I request a different version of the ADI? If you have a research question or need a different version of the ADI please fill out this form.

Who do I contact if I need help? Please contact the Neighborhood Atlas team using our contact form.

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