1. population distribution & Service Access in Philadelphia
Lauren Ring
Planning & Research Analyst
Philadelphia Corporation for Aging

2. Neighborhood / Community
Levels of Influence
Individual
Household / Family
Neighborhood / Community

3. Emerging Populations (all ages)

4. Emerging Populations (all ages)

5. Isolation at the Neighborhood Level
Linguistic / Cultural
No reliable bridge to health and social services information outside of immediate community
Difficulties in outreach
Not always depend on traditional media
Word of mouth / Trusted local “bridge” organizations
Income / Poverty
Transportation
Location of services and other resources
Crime

6. Linguistically Isolated Household
Example of linguistic/cultural isolation at the neighborhood level:
Cambodian, Vietnamese & Chinese migrants all have a higher % of individuals that don’t speak English than Dominicans
However, fewer percentages of those groups live in linguistically isolated households than Dominicans
Assuming that these migrant groups are equally likely to live in multi-generational households (where the children may pick up English more quickly), why are the Dominicans more isolated at the household level?
Not Fluent in English
Linguistically Isolated Household

7. A large proportion of the Dominican population lives in areas where the neighborhood is linguistically isolated
Low-income Latinos are currently the most geographically segregated minority group in Philadelphia

8. Limitations of Neighborhood Level Data in Philly
Data We Have
Data We’d Like
Age & sex
Language
Disability status
Self-care & independent living difficulties
Income / Poverty
Household type / living alone
Geocoded locations (crime, hospitals, senior centers, etc.)
Location of community based organizations outside the aging network (churches, civic associations, etc.)
Age combined with additional socio-demographic & health information
Location & other info for the many small, but growing populations of elderly and/or their families**
**including elderly LGBT populations, who exist in large numbers but are not often identified in survey data

9. Thank you