Notes
Slide Show
Outline
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Data Collection
  • Overview of Data Collection Methods for Neighborhood Planning
  • “The power to label people deficient and declare them in need is the basic tool of . . . oppression in modern industrialized societies . . . .”: John McKnight
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Census Geography
Neighborhood Scale
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Sizes of Census Units
  • Census Tract
    • 1,500 to 8,000 persons / 4,000 optimal.  Relatively stable over time.  Relatively homogeneous when established.
  • Census Block Group
    • 600 to 3,000 persons / 1,500 optimal.  Within a Census Tract
  • Census Block
    • Bounded on all sides by visible features
  • Public Use Microsample (PUMS)
  • Individual Census Forms (1930 or older)




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Identifying Census Units
  • Census Block – 4 digit number within Tract
  • Census Block Groups - same 1st digit of Block number
  • Census Tracts –  with same number: 4 digits to left  2 to right


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Census Data Elements
  • STF – 1 (100% sample – short form.)
    • Age, Sex, Race, Hispanic, Household type (e.g. single person hh with children), Relationship of householders, Tenure (owned or rented), Vacancy status.
    • Information reported by average or median values and in tabular form.
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Census Data Elements
  • STF – 3 (17% sample – long form)
    • Also - Ancestry, Language, Citizenship, Disability, Education, Employment status, Income, Poverty status, Industry, Occupation, Journey to work, Marital status, Value of home, Rent per month, Vehicles, Age of structure, Year moved into residence, Number of units in residence, Etc.
    • Information reported by average or median values and in tabular form.
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Census Data Elements
  • Census Tracts.  STF-1 and STF 3 data
  • Census Block Groups.  STF-1 and STF 3 data
  • Census Blocks.  Selected STF-1 data
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Census Data Elements
  • Public Use Microsample Data
    • 1% - 5% samples with virtually all data elements.
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Population Forecasts
  •  P = B - D + M, where
    • P equals population
    • B equals births
    • D equals deaths
    • M equals migration
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“Cohort-Component”
Population Forecasts
    • Starting population in study area obtained from Census
    • Births are based on women’s age specific live birth rates in 5 year increments from 15 to 49 years of age
    • Deaths are obtained from “life tables” - age specific death rates per 100,000
    • Migration based on net difference between increase in local labor force and number of jobs in local economy



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City-Wide
Population Forecasts
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Trumbull Population Forecast
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Neighborhood Population Forecast
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Neighborhood Population Forecast
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Trumbull Population Forecast
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Neighborhood Population Change
  • Age existing population
  • Add new single family homes and apartments
  • Reduce population of young adults
  • Replace those passing away
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Survey Research
  • Represent conditions of whole group through information from a carefully selected part
  • Survey sample data generally more accurate than enumerations
  • Each member of the sample has the same probability of selection (or a known one)
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Survey Research
Asking Questions
  • Closed ended
  • Open ended (convert to closed ended for coding)
  • One issue at a time
  • Clear and Unambiguous
  • Short
  • Respondent able to answer question
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Survey Research
Asking Questions
  • Salient to respondent
  • Avoid
    • Negatives in the question
    • Biased items and terms
    • Socially restricted items
    • Use of titles
  • Ask more interesting and less controversial questions at start of survey
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Oral History
  • Short questions, one at a time
  • Start with non-controversial issues
  • Never “lead” respondent
  • Probe – “Why?” “How?”
  • Never interrupt



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Types of Surveys
  • Unbiased sample assumes that everyone selected in sample completed survey
  • Mail survey
    • 50% response rate is good and 70% very good
  • Direct interviews (person-to-person & telephone)
    • 80-85% completion rate objective
    • Avoid interviewing small % of selected sample in telephone survey


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GIS Analysis
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GIS Analysis
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GIS Analysis
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GIS Analysis
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GIS Analysis
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GIS Analysis
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GIS Analysis
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Employment Forecasts
  • Constant Share
  • Simple Regression
  • OBERS – Shift-Share
  • From Greenberg, Krueckeberg, and Michaelson
  • Local Population and Employment Projection Techniques
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Employment Forecasts
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Employment Forecasts
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Employment Forecasts