The geolocation feature in DataDirect links National Neighborhood Data Archive (NaNDA) data to a Michigan Medicine patient’s Electronic Health Record (EHR). Patient addresses are mapped to a US Census block group and tract, which in turn can be mapped to various data elements describing respective neighborhoods and geographies.
Census tract boundaries may change every 10 years due to a population increase or decline. AI & Digital Health Innovation provides both 2010 and 2020 census tract values for geolocated addresses, and uses the appropriate boundary years when joining patient addresses with gelocation-based datasets (e.g. NaNDA and ADI).
Census Tract FIPS codes are only available in PHI DataDirect.
Geolocation Data Dictionaries
Area Deprivation Index (ADI)
ICPSR NaNDA Codebooks
Geolocation Glossary: Definitions of common geolocation terminology.
National Neighborhood Data Archive (NaNDA) at the U-M Institute for Social Research
Please review the Terms of Use — ICPSR T42 for NaNDA data, including proper redistribution and citing of data.
Geolocation Data Views
Summary table of Geolocation views, including coverage dates, census tract boundaries, and topic.
*Indicates view is available on PHI DataDirect only.
Gis20NeighborhoodAffluence
This dataset provides neighborhood affluence, disadvantage and ethnic immigrant concentration metrics for patients.
GisActivePatientAddressAreaDeprivationIndex_2015, 2020, 2021
Displays the relative socioeconomic condition of neighborhoods.
GisActivePatientParks
This dataset describes the number and area of parks in each census tract in the United States. Measures include the total number of parks, park area, and proportion of park area within each census tract.
GisActivePatientAddressSES_2018_2022_FIPS10, 20
This dataset describes patient socioeconomic demographics. This includes proportions based on race, education, age and income.
GisNeighborhoodAffluence
This dataset provides neighborhood affluence, disadvantage and ethnic immigrant concentration metrics for patients.
GisActivePatientAddressStreetConnectivity
This dataset contains measures of street connectivity (how well streets connect with one another) within United States census tracts. This includes measures of the number of street segments and intersections per tract, street length within tracts, and indices representing overall connectivity within the tract.
*GisPatientAddressLocationHistory
This dataset contains a full history of patient address records along with respective geolocation information. Most patients will have duplicated address records with differing effective and termination dates. Only Michigan, Ohio and Indiana have been geocoded and other states will be recorded as NULL.
*GisPatientAddressLocationMostRecent
Geolocation data for the most recent home address of each respective patient. If a patient’s most recent address has not been successfully geocoded there will be no data in this table for that patient.
*GisPrimaryPatientAddressLocationByYear
Geolocation data for the patient’s primary address determined for patients starting from the year 2000. The table uses primary address as the address at which the patient has stayed in for a longer period of time during a given calendar year.
GisActivePatientAddressUrbanicity
This dataset contains measures of the urban/rural characteristics of each census tract in the United States. These include proportions of urban and rural population, population density, rural/urban commuting area (RUCA) codes, and RUCA-based four-and seven-category urbanicity scales.
GisPrimaryPatientAddressByYearArtsEntertainment1990_2021_FIPS10, 20
This dataset contains measures of the number and per capita density of arts and entertainment organizations (museums, movie theaters, hotels, etc) from 1990 – 2021.
FIPS10 views use census tract codes from the 2010 census; FIPS20 views use census tract codes from the 2020 census.
GisPrimaryPatientAddressByYearBroadband
This dataset contains measures of broadband internet availability, speed, and adoption per United States census tract in 2014 through 2020. The data is derived from internet service providers’ Form 477 reports to the Federal Communications Commission (FCC).
GisPrimaryPatientAddressByYearEatDrink1990_2021_FIPS10, 20
This dataset contains measures of the number and per capita density of eating and drinking organizations (bars, coffee shops, delis, etc) from 1990 – 2021.
FIPS10 views use census tract codes from the 2010 census; FIPS20 views use census tract codes from the 2020 census.
GisPrimaryPatientAddressByYearGroceries1990_2021_FIPS10, 20
This dataset contains measures of the number and per capita density of grocery organizations (supermarkets, grocery stores, fruit and vegeatble markets, etc) from 1990 – 2021.
FIPS10 views use census tract codes from the 2010 census; FIPS20 views use census tract codes from the 2020 census.
GisPrimaryPatientAddressByYearHealthServices1990_2021_FIPS10, 20
This dataset contains measures of the number and per capita density of health service organizations (physicians, pharmacies, dentists, etc) from 1990 – 2021.
FIPS10 views use census tract codes from the 2010 census; FIPS20 views use census tract codes from the 2020 census.
GisPrimaryPatientAddressByYearLiquorTobacco1990_2021_FIPS10, 20
This dataset contains measures of the number and per capita density of liquor, tobacco, convenience, e-cigarette and marijuana stores from 1990 – 2021.
FIPS10 views use census tract codes from the 2010 census; FIPS20 views use census tract codes from the 2020 census.
GisPrimaryPatientAddressByYearRecreation1990_2021_FIPS10, 20
This dataset contains measures of the number and per capita density of recreational organizations (fitness centers, swimming pools, golf courses, etc) from 1990 – 2021.
FIPS10 views use census tract codes from the 2010 census; FIPS20 views use census tract codes from the 2020 census.
