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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. CityHealth Rating cities on nine evidence-based policies that affect health
Nine policies
By City
By Policy
Data Deep Dive
Codebook
Data
Evidence
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.

10. 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.
City
Interactive
Health Variable

11. Milwaukee’s binge drinking map from the 500 Cities Project
Census tracts in Milwaukee range from 4.8% % 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

12. 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 – This measure is self-assessed.
Data source: 500 Cities data

13. 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

14. MKE Community Database - Background
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.

15. MKE Community Database - Use Case
Do you need a water filter?
{link here}

16. Your Turn– How can YOU USE this?
Explore one of the three sites
with-lead-service-lines/resource/f949a93c-a78f-404a-a3ee-e81782ee36df Or
Talk with others about how this information can be used in your work.

17. 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.

18. SAVE THE DATE DATA DAY May 31, 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

19. Thank you for your time and feedback. Supported by: