HSUG-West, Berkeley, 9/25/03
Presented by
Andrew Ruppenstein
September 25th, 2003
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 Public Use Microdata Sample (PUMS)
Files
 American Community Survey (ACS)
Microdata Files
 Metropolitan Areas – Old and New
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 Decennial Census data comes from both the short-form (100%) and the long-form questionnaires (~1-6 households sample).
 With regard to housing, the short form yields only tenure and occupancy data.
 The long form has 21 (some are multi-part) questions concerning housing.
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Summary
File 1
17
Summary
File 2
9
Summary
File 3
146
Summary
File 4
93
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 Public Use Microdata Sample files contain a sample of individual housing unit and person records from the census, along with sample weights.
 There are two released PUMS samples –
1% and 5%. The 1% file has more detailed characteristics. The 5% offers more geographic detail.
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Tenure
Units in Structure
Occupancy Status
Housing Value
Gross Rent
Rooms, Bedrooms
Age of Structure
Plumbing, Kitchen
Facilities, Vehicular, and
Telephone Availability
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 Year Householder
Moved into Unit
Property Taxes Paid
Cost of Utilities
Cost of Fuels
Acreage
Rent
Mortgage Status
Second Mortgage Status
Property Insurance
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 Summary vs. detail information
 Predefined tables vs. custom tabulations
 Restricted variables vs. full range of available responses
 Greatest possible detail while still ensuring confidentiality
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 1960 Census - 1% sample created as a prototype
 1970 Census - 1% sample introduced as a standard product
 1980 Census – 1% and 5% samples
 1990 Census - 1% and 5% samples
 2000 Census – 1% and 5% samples
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PUMS data is available only for a specially delineated set of geographies, PUMAs (5%) and super-PUMAs (1%).
PUMAs have a minimum of 100,000 population, super-PUMAs 400,000.
Super-PUMA and PUMA boundaries do not cross state lines.
PUMAs fit within super-PUMAs.
Boundaries are drawn with some input from the states and local area.
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HSUG-West, Berkeley, 9/25/03
California has 62 super-PUMAs and
235 PUMAs.
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 In California, PUMA boundaries were constructed to follow city lines, where possible.
Example: PUMA 07000 = Fullerton City in
Orange County.
 This holds less true for San Diego County and the San Francisco Bay Area Counties, as local input often chose to use tract boundaries.
 Super-PUMA/PUMA boundaries and county boundaries frequently coincide.
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HSUG-West, Berkeley, 9/25/03
 We are in PUMA
02403
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 Super-PUMAs (1%) have a 5 digit code, with the first 2 digits as the state FIPS code. Example:
06050 (Solano and Napa Counties)
(California’s
FIPS Code = ’06’ ). Range is 06010 – 06705.
 PUMAs (5%) also have a 5-digit code. In
California , PUMA (5%) codes are lowest in the north, and highest in the southern part of the state. Range is 00100 – 08116. PUMA codes are unique within the state, but may be repeated in other states.
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 PUMS data is available free of charge in downloadable form from the US Census Bureau: http://www.census.gov/main/www/pums.html
 A DVD of the data will be available from the
Census Bureau in Fall, 2003. In addition to the data it will include the Beyond 20/20 software for accessing the data.
 DataFerret also provides online access to PUMS data: http://dataferrett.census.gov/TheDataWeb/index.html
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Microdata sample files are also currently available for the 1996-1998 and 2000-2001 ACS data. The technical documentation, record layout, geographies, and content will not be same! But the same principles for generating custom tabulations will hold true.
ACS sample sizes are much smaller. Expect a tradeoff in accuracy vs. timeliness when deciding whether to use decennial or ACS PUMS data.
When using PUMS, please be sure to cite both the census source (decennial or ACS) and the data year.
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ACS coverage has slowly expanded over time.
The first tabulations available are for 1996. 2005 should be the first year for which ACS has complete coverage of the US.
The first California counties covered by the program were San Francisco and Tulare in 1999.
2000 has tabulations for 21 California counties.
2001 has tabulations for 24. More counties were sampled than tabulated, however.
The 2000 and 2001 ACS microdata files for
California have no county-level detail.
For more information, please see: http://www.census.gov/acs/www/Products/PUMS/index.htm
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Metropolitan Statistical Area: “A geographic entity, defined by the Federal
OMB for use by Federal statistical agencies, based on the concept of a core area with a large population nucleus, plus adjacent communities having a high degree of economic and social integration with that core.”
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The standards have changed 6 times since 1950, and so the definitions (lists of areas) for presenting metropolitan area statistics have changed 10 times since 1950.
The June 30, 1999 definition is used for Census
2000 products.
There is a new definition as of June 6, 2003, which will be applied to future Census Bureau products.
The changes over time in areas defined as
“Metropolitan” mostly reflect population growth, not changes in the defined concept.
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Core Based Statistical Area (CBSA) Classification
A CBSA consists of the county or counties associated with at least one core of 10,000 or greater population, plus adjacent counties having a high degree of social and economic integration with the core(s) as measured by commuting ties.
Core Based Statistical Areas
Metropolitan Statistical Areas
Population in a Core
50,000 or more
Micropolitan Statistical Areas 10,000 to 49,999
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CBSA Building Blocks
Counties and equivalent entities throughout the United States and Puerto Rico
Why?
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CBSA Cores
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Census Bureau-defined urbanized areas (UAs)
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Census Bureau-defined urban clusters (UCs)—a new geographic entity for Census 2000
Cores identify central counties of CBSAs
Central counties are those counties that:
• have at least 50% of their population in urban areas (UAs or UCs) of at least 10,000 population; or
• have within their boundaries a population of at least 5,000 that is located in a single urban area of at least 10,000 population
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Aggregating Counties
Commuting data are used to qualify outlying counties.
A county qualifies as an outlying county if:
• at least 25 percent of the employed residents of the county work in the CBSA’s central county or counties, or
• at least 25 percent of the jobs in the county are accounted for by workers residing in the CBSA’s central county or counties
Measures of settlement structure, such as population density and the percentage of population that is urban, are not used to qualify outlying counties.
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Divisions of Metropolitan Statistical Areas
Metropolitan Statistical Areas containing at least one core with a population of 2.5 million or greater may be subdivided to form
Metropolitan Divisions
A county will be identified as a main county of a Metropolitan
Division if:
 65 percent or more of its employed residents work within the county, and
 the ratio of the number of jobs located within that county to its number of employed residents is at least 0.75.
A main county automatically serves as the basis for forming a
Metropolitan Division.
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HSUG-West, Berkeley, 9/25/03
 33 CBSAs, of which:
 7 Micropolitan Areas and
 26 Metropolitan
Areas, of which:
 6 are multi-county.
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 CENSUS 2000 Main Page: http://www.census.gov/main/www.cen2000.html
 CENSUS 2000 Support Pages: http://www.census.gov/support/cen2000.html
 CENSUS Electronic Products Support Pages: http://www.census.gov/tech/techtalk.html
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 CENSUS Metropolitan Areas Intro Page: http://www.census.gov/population/www/estimates/metro area.htm.
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For more information contact me via e-mail or phone:
– Andrew.Ruppenstein@dof.ca.gov
– (916) 327-0103, x2526
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1) Slides 5 and 8 were adapted with permission from
“Tabulating Data from the PUMS Files Using Beyond
20/20 Software” by Bill Savino, Electronic Products
Development Branch, US Census Bureau
2) Slides 21-24 were borrowed with permission from
“Metropolitan and Micropolitan Statistical Area Standards” by Colleen Joyce, Geography Division, US Census Bureau
3) The maps on slides 10, 12 and 25 were created by Cynthia
Singer, Demographic Research Unit, California State
Department of Finance
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HSUG-West, Berkeley, 9/25/03