New Data For Better Neighborhood Health Friday March 10, 2017 Zilber School of Public Health Convened by DATA YOU CAN USE

AGENDA Welcome and Introductions Health and Wealth- what’s the connection? New Data sets Healthy Cities Healthy Neighborhoods Healthy Homes How can you USE this? What’s next? Intro-- participant name, organization/neighborhood, primarily identify as a neighborhood person or a health person, name a health asset in your neighborhood

Health and Wealth: What’s the connection? Q. In African countries that experienced strong economic growth from mineral revenue: a. Overall health and nutrition improved b. Overall health conditions declined c. There was no relationship between economic growth and health. Source: World Bank Answer: b. Overall health conditions declined

Health and Wealth: What’s the connection? Q. In Asian countries that experienced strong economic growth: a. Overall health and nutrition improved b. Overall health conditions declined c. There is no relationship between economic growth and health. Source: World Bank Answer: a. Overall health and nutrition improved

Health and Wealth: What’s the connection? Q. On a macro level, investments in health and nutrition: a. Are highly cost effective for people’s health b. Are good for improved productivity and economic development. c. Both a and b are true Source: World Bank Answer: c. Both a and b are true

Health and Wealth: What’s the connection? On the individual level People with lower incomes report poorer health (both physical and mental) 36% of those living in poverty get the recommended level of aerobic exercise 60% of those on the upper end of the income scale get the recommended level of aerobic exercise People living in poverty are more than 3 times as likely to have activity limitations due to chronic illness People with lower incomes have a higher risk of disease (heart disease, diabetes, stroke) People with lower incomes live shorter lives Poor people (over age 25) have a life expectancy of 74 People at upper end of the income scale have a life expectancy of 81 People with higher incomes experience place-based health benefits Source: Urban Institute Source: Urban Institute, Center on Society and Health, 2015

How do Neighborhood Conditions affect the health of Individuals? Access to healthy foods Built environment Advertising Housing Transportation School systems Jobs and Health Care Environmental pollution Disinvestment Source: Urban Institute

Three New Resources CityHealth, de Beaumont Foundation Policies that affect Health 500 Cities, Robert Wood Johnson Foundation Health data at census tract level Community Data Base, data resource for lead in Milwaukee

CityHealth Rating cities on nine evidence-based policies that affect health Nine policies http://cityhealth.org/#jump-to-policy By City http://cityhealth.org/city/Milwaukee By Policy http://cityhealth.org/policy/40-cities-complete-streets Data Deep Dive Codebook Data Evidence http://cityhealth.org/download/CityHealth_CompleteStreets.pdf CityHealth A new resource from the de Beaumont Foundation a tool to provide context, policy guidance in your planning What policies actually affect health? helpful resource in identifying evidence based practices and making the case for the approaches you undertake to improve health outcomes see criteria for rating. not intended to “rate and run” but can point out places to emulate. use complete streets as example--- scroll down to data deep dive. Policy sheets are really useful The recommendations they made are: Are based on clear, scientific evidence Are typically under the purview of municipalities Can be addressed through policy change Show a history of bipartisan support It is the intention of CityHealth to revisit this project in three years and update the assessment, with new policies.

500 Cities Local data for better health https://www.cdc.gov/500cities/ 500 Cities’ website offers three ways to explore the data (City, Health Variable and Interactive) City: Cities included are the 500 largest cities in the US, and data is available at the census tract level. Health Variables are organized into three categories, with 28 variables: Health Outcomes (13) Prevention (10) Unhealthy behaviors (5) Interactive example on the next slide. https://www.cdc.gov/500cities/ City Interactive Health Variable

Milwaukee’s binge drinking map from the 500 Cities Project Census tracts in Milwaukee range from 4.8% - 35.3% prevalence This is an example of one of the interactive maps available on the 500 Cities project website. Data caution: scales don’t start at 0, so be cautious when looking between maps. Data source: 500 Cities, interactive mapping section

to Milwaukee Neighborhoods: Applying 500 Cities data to Milwaukee Neighborhoods: Model-based estimates for no leisure-time physical activity among adults aged >=18 years One of the exciting things that the data release on March 1st allows us to do is calculate the health data by neighborhood, much like the neighborhood data portraits available on our website. Full name of measure is: Model-based estimates for no leisure-time physical activity among adults aged >=18 years – 2014. This measure is self-assessed. Data source: 500 Cities data

to Milwaukee Neighborhoods: Applying 500 Cities data to Milwaukee Neighborhoods: Physical Activity* in Clarke Square and Northwest Side One of the exciting things that the data release on March 1st allows us to do is calculate the health data by neighborhood, much like the neighborhood data portraits available on our website. Full name of measure is: no leisure-time physical activity among adults aged >=18 years – 2014 within the past month. This measure is self-assessed. Clarke Square (Census tracts 158, 159) has a prevalence of 37.3% Northwest Side (Census tracts: 11, 12, 14, 19, 20, 21, 24, 25 and 28) has a prevalence of 33.8% City of Milwaukee’s rate is 27.5% Nationwide in 2011 rather than 2014, this was 25.4% . Data source: 500 Cities data

MKE Community Database - Background HTTP://MKECOMMUNITYDATA.COM The Milwaukee Community Database is a tool that makes it easier for data storytellers to find, use and share data. Born out of a partnership between The Milwaukee Neighborhood News Service HackMKE/Milwaukee Data Initiative Marquette University Diedrich School of Communication More than 40 organizations were interviewed to provide their perspective on how data can be made easier to use.

MKE Community Database - Use Case HTTP://MKECOMMUNITYDATA.COM Do you need a water filter? {link here}

Your Turn– How can YOU USE this? Explore one of the three sites http://cityhealth.org/ https://www.cdc.gov/500cities/ http://www.mkecommunitydata.com/dataset/milwaukee-city-properties- with-lead-service-lines/resource/f949a93c-a78f-404a-a3ee-e81782ee36df Or Talk with others about how this information can be used in your work.

What’s Next? Sharing uses of these fresh data sets, and how the data is applied Follow up with attendees to see if these health data sets have been used for decision making, or other applications Streamlining of large data efforts, announcements of new data Hold United Way community opportunity on health data New blog post on neighborhood asset identification Tool for identifying neighborhood assets Workshop on Crime/ Safety Data in the neighborhoods And... Notes in blue were suggestions from attendees during the presentation.

SAVE THE DATE DATA DAY May 31, 2017 Join us for a look at data at the intersection of Public Health, Criminal Justice and Community Development Brought to you by DATA YOU CAN USE

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