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Census Data for GIS and Planning Professionals GIS in Action April 15, 2014

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Census Data for GIS and Planning Professionals GIS in Action April 15, 2014. Charles Rynerson Census State Data Center Coordinator Population Research Center College of Urban and Public Affairs. Topics. Accessing Census Data Tabular Data Data for GIS projects Understanding Census Data

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slide1

Census Data for GIS and Planning Professionals

GIS in Action

April 15, 2014

Charles Rynerson

Census State Data Center CoordinatorPopulation Research Center

College of Urban and Public Affairs

topics
Topics
  • Accessing Census Data
    • Tabular Data
    • Data for GIS projects
    • Understanding Census Data
    • Cautionary Tales
slide13

100% Count and Sample Data

  • Sampling Error
  • Non-Sampling Error
  • ACS Population Controls
slide16

259 ÷1893 = 0.137

13.7% of households sampled

example 3 the published tables are but one representation of reality
Example 3 – The Published Tables Are But One Representation of Reality
  • The following example shows the large sampling variability in the block group data using % rental households of all single family households.
  • The universe of households was recreated from the 100% data from the 1990.
  • 20 random samples were drawn on a 1 in 6 basis.
  • Choropleth maps were draw for each sample?
  • Which map is the right one, the best representation of reality?

NACIS 2008

here are 20 might have been samples for 1990 sf3 sample data
Here are 20 “might have been” samples for 1990 SF3 sample data
  • The following sequence shows 20 possible sets of data that might have been obtained in the sampling process.
  • Note the considerable local variation but also the persistence of some of the high values
  • The lesson: Be cautious about interpreting small area sample census data.

Which of these 20 representations of reality is closest to the truth?

NACIS 2008

what is non sampling error
What is Non-Sampling Error?

Definition

Any error affecting a survey or census estimate apart from sampling error

Occurs in complete censuses as well as in sample surveys

types of non sampling error
Types of Non-Sampling Error
  • Non-Response Error
  • Response Error
  • Processing Error
  • Coverage Error
slide21

1241 ÷1888 = 0.657

Income imputed for 34.3% of households

slide23

271 ÷5180 = 0.052

5.2% of housing units sampled

slide24

3931 ÷4196 = 0.937

Income imputed for 6.3% of households

population controls
Population Controls
  • Independent information used to increase the precision of the ACS estimates
  • Reduces sampling and non-sampling errors in the ACS estimates
  • Time series of population estimates are revised annually but the ACS estimates for previous years are not.

25

slide26

Census Geography Hierarchy

(with 2010 Statistical Area Criteria)

Revised 10-29-11

Central axis describes a nesting relationship

  • Cities and towns -- incorporated
  • Census Designated Places (CDPs)
  • 1,200 to 8,000 population (optimum 4,000)
  • 480 to 3,200 housing units

Blocks are not defined by population

and are the smallest geographic level at which data are ever released (Decennial Census, not the ACS)

  • 600 to 3,000 population
  • 240 to 1,200 housing units
2010 census race and ethnicity
2010 Census: Race and Ethnicity
  • Use decennial censuses for race and ethnic population counts, not ACS
  • Changes between 1990 and 2000
  • Consistent reporting between 2000 and 2010
  • Two questions: 1. Hispanic/Latino? 2. Race? One or more boxes
slide34

Census Data for GIS and Planning Professionals

GIS in Action

April 15, 2014

Charles Rynerson

Census State Data Center CoordinatorPopulation Research Center

College of Urban and Public Affairs

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