Transcript Finding Demographic Data for Watersheds

Using Demographics in Approaches to
Building Communities
UW Baraboo/Sauk County Fall Lecture Series
October 30, 2014
Presented by
Dan Veroff
Extension Demographic Specialist
Applied Population Laboratory, UW-Madison/Extension
About the Applied Population Laboratory
• Demographic Data Provision and Facilitation
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State Data Center & UWEX roles
Training
Web-based data access and mapping
Reports
• Applied Work
– GIS and Spatial Analysis
– Regional Profiles
– Small Area Population Estimates and Forecasts
• Research and Innovation
– Methodological Innovation
– Collaborative Research
About me
Today’s conversation
• A few words about demographic data & using it in
community contexts
• Turning data into useful information
• A few good data resources
• Your questions
The basics of demographics and community work
• Relevant data at the right geographic scale
• Connect data to locations
• Analyze and organize for local use
– Make it consumable for those who need it
– Make it amenable for incorporation of local knowledge
Why is demographic data useful to communities?
• Helps tailor/target effective programs, strategies,
and resource provision
– Trends analysis and issue identification
– Uncover hidden characteristics, assets, or deficits
• Helps with evaluations or assessments that provide
the basis for planning and decision making
• Grant writing and other “making the case” activities
• Helps contextualize people in places of any size
(nation to neighborhood)
• Can provide a framework for community input and
participation
Demographic Data
So, what is demographic data anyway?
Measurables
• Information about the size, growth, density or distribution of
a population or community
Characteristics
• Information that describes the characteristics of a population
or community
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Basic features – age, gender, race/ethnicity
Social features – households/families, education, marital status
Economic features – income, poverty, employment, occupation
Housing features – tenure, type, value
Places
• Information that describes the geographic context of
populations or communities
What are key “places” for community data?
State
School districts
County
Towns, Villages,
Cities
Tribal areas
Zip Codes
Census Tracts
Comparing 2010 Census and the ACS
2010 Census
ACS
• Population counts
• Estimates of population
characteristics
• Short form only
• “long form” questions also
includes 10 q’s on short form
• Point in time – once a decade
• Continuous measurement –
refreshed data annually
• Questions rarely change
• Questions can be added to
reflect timely trends or issues
ACS replaced the Census “long-form”
How to choose between 2010 Census & ACS data
• Use data from the 2010 Census when you need an
accurate count of basic demographic characteristics
 100% counts of the population
• Use data from the ACS when you want detailed
social or economic characteristics
 Estimates based on a relatively small sample
 Have margins of error – caveat emptor
Analyzing Demographic Data
• Visualize it!
• Comparisons – give context and meaning to data
– Geographic – compare communities
– Temporal – compare over time
– Both – compare communities over time
• Apply Local Knowledge
Analysis turns demographic
data into Information
A few examples of analysis:
-Looking at data over time
-Comparing to peers
-Comparing to average or some other standard
-Explain & connect observed data – BRINGING IN LOCAL KNOWLEDGE
-Connect information to location – ACTIVATING LOCAL KNOWLEDGE
Information leads to
engagement, decisions,
planning, policy, and more
Analysis – Looking at data over time
Analysis – Comparing to peers
Analysis – Comparing to an average or a standard
Local Knowledge
How do I activate and incorporate local knowledge?
• Tap working knowledge of area and population
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Events
Anecdotes
Service providers (including schools)
Local survey data
Why draw on local knowledge?
• Ground-truth data
• Enhance or explain observed trends or issues
• Guides more in-depth connections and use
Local Knowledge – Example of Ground Truthing
Grant County: Net Migration by Age
1950s
800
1950s
1960s
1970s 1960s 1980s
2000s
Boscobel supermax prison
opens in 2007
600
400
UW-Platteville became part
of UW System in 1966
200
0
-200
-400
Age
75+
70-74
65-69
60-64
55-59
50-54
45-49
40-44
35-39
30-34
25-29
20-24
15-19
10-14
5-9
-600
0-4
Net Migration Rate, Per 100
2000s
1990s
Local Knowledge – Explain & Connect Observed Data
Local Knowledge – Connect data to location and Take Action
Some great data resources
•
American FactFinder – portal for all census data
http://factfinder2.census.gov
•
GetFacts – data, maps, profiles
http://www.getfacts.wisc.edu
•
County Workforce Profiles – data on employment, jobs
http://dwd.wisconsin.gov/oea/county_profiles/
•
Department of Public Instruction – school district data
http://dpi.state.wi.us/sig/dm-demographics.html
•
County Health Rankings – data on health outcomes & factors
http://www.countyhealthrankings.org/app/wisconsin/2012/r
ankings/outcomes/overall
Questions?
Thanks!
To contact me:
Email: [email protected]
Phone: 608-265-9545
Tapping into your local knowledge (if time allows)
• In looking at data for Sauk County [population pyramid, migration trends,
employment trends], what patterns do you see?
• What do the patterns for mean for communities in Sauk
County?
• How could you use this information?
Population Pyramid
Age
75+
70-74
1990s
65-69
60-64
55-59
50-54
45-49
1980s
40-44
35-39
30-34
25-29
20-24
50
15-19
10-14
5-9
0-4
Net Migration Rate, Per 100
Migration Signature
Sauk County: Net Migration by Age
2000s
40
30
20
10
0
-10
-20
-30
-40
Age
75+
70-74
1990s
65-69
60-64
55-59
50-54
45-49
1980s
40-44
35-39
30-34
25-29
20-24
120
15-19
10-14
5-9
0-4
Net Migration Rate, Per 100
Migration Signature
Dane County: Net Migration by Age
2000s
100
80
60
40
20
0
-20
-40
Unemployment