MKE Indicators | Data, Resources, Archives

Background

Data You Can Use, in collaboration with the Community Development Alliance, is pleased to host indicator maps for Milwaukee’s neighborhoods. These indicators are intended to help community members, planners, policy makers, and neighborhood organizations to plan, document and explore key pieces of information about their neighborhoods. The indicators have been chosen based on a review of best practice, their importance, and interest to users. Selection followed some defined principles. (Indicator Principles)

In 2013, the city released a map stemming from a market value analysis and including indicators of important market conditions. The MKE Indicators builds on that work but expands beyond physical structures to include other important aspects of a neighborhood. Initially published as a series of ‘flat’ maps, all indicators are now available in interactive formats. An archive of the ‘flat’ maps, released in 2018-2019, can be found at the bottom of this page. In addition, the maps and data from the 2020 and 2024 interactive map releases are located on this page. 

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We value your opinion. If you have questions or suggestions about the MKE Indicators project, please contact us at [email protected]   

 

2024 Map Data

Below are the individual data files for all 28 indicators. To view all the data in one spot, check out our Summary Data file. This file combines all indicators, as well as some supplementary data. A data dictionary, containing information about each indicator’s definition and source, can also be accessed via the Summary Data File. 

 Equitable Housing

 

Population

 

Market Value

 

Equity & Access

 

Health

 

A note about the data: For the PLACES Data, the Center for Disease Control used a multi-level statistical modeling technique to produce small area estimations (SAE). Small area estimations use supplemental data when the sample size of a  small geographical area is too small to generate accurate estimates. Specifically, CDC used a peer-reviewed multi-level regression and postratification (MRP) approach that links geo-coded health surveys and high spatial resolution population demographic and socioeconomic data. Additional information about the methodology can be found on the website

2020 Interactive Maps and Data

 Equitable Housing

 

Population

 

Health

 

  • Housing Units Built Prior to 1950  Percent of housing units built prior to 1950
  • Asthma  Asthma prevalence* among adults ages 18 and over
  • Obesity  Obesity prevalence* among adults ages 18 and over
  • Mental Health  Prevalence* of adults ages 18 and over who reported mental
    health was not good for 14 or more days
  • Visits to Dentist or Dental Clinic  Prevalence* of adults ages 18 and over who reported visiting a
    dentist or dental clinic in the last year
  • A note about the data: For the 500 Cities Data, the Center for Disease Control used a multi-level statistical modeling technique to produce small area estimations (SAE). Small area estimations use supplemental data when the sample size of a  small geographical area is too small to generate accurate estimates. Specifically, CDC used a peer-reviewed multi-level regression and postratification (MRP) approach that links geo-coded health surveys and high spatial resolution population demographic and socioeconomic data. Additional information about the methodology can be found on the website

Market Value

 

Equity & Access