Healthy People, Healthy Places
UNST 234--Spring 2013, Portland State University
Steven Reed Johnson, Ph.D.
Healthy People, Healthy Places
UNST 234--Spring 2013, Portland State University
Steven Reed Johnson, Ph.D.
Data Required for each neighborhood
Healthy People, Healthy Places, Spring, 2013
A map showing where in Portland
More detailed map of the neighborhood
Brief over-all description, including notable natural and man-made elements
History
Basic Demographic
Name
Census tracks all or in part within boundaries
Size (acres)
Population
Population density
Race/Ethnicity
Household breakdown
House occupancy (owned or rented)
Housing type (e.g. single family, apartments etc)
Family type breakdown
Age breakdown
Educational Attainment
Household income
Poverty, percent
Occupation type (blue/white collar)
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For Data
Table(s)
At least 3 graphs/charts
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Zoning, Land Use type
Crime rate
Sources of Data for Neighborhood Projects and Guidelines for Using Data
Guide to the Goose Hollow Neighborhood in Portland Oregon
CDC unveils national obesity rates: Where does your state rank? - HealthPop - CBS News
Portland (city) QuickFacts from the US Census Bureau
Portland Neighborhoods | Walk Score
Zoning Code | The City of Portland, Oregon
6. Population and Demographics
Metropolitan Knowledge Network
Educational Attainment | Greater Portland Pulse
PDX_Hoods.jpg 4,224×3,264 pixels
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Guidelines for Using Data
Source including date. Reader should be able to retrieve the same data.
Always compare to some larger universe, e.g. City of Portland
Select and use categories that make the most sense, which might mean combining information
Use percents rather than whole numbers in most cases, especially small areas
Use appropriate charts and graphs
For neighborhoods the importance of housing
Not all old data is bad
Use what you have and make reliability clear—Pdx Pulse data
Be familiar with definitions, e.g. below poverty level...
Understand bias or limitations of data, e.g. real estate brokers, census (house prices and rents)
Additional Neighborhood Data