PUMA identifies individuals usage Microdata room (PUMA) where in fact the housing device was actually positioned

PUMA identifies individuals usage Microdata room (PUMA) where in fact the housing device was actually positioned

Your computer data extract

  • Description
  • Rules
  • Comparability
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  • Availability
  • Questionnaire Book
  • Flags
  • Source Factors
  • Editing Treatment

Outline

In the 1990 county test, PUMAs typically stick to the boundaries of region teams, unmarried counties, or census-defined “places”. If these places meet or exceed 200,000 residents, they’re divided in to as much PUMAs of 100,000+ residents as it can. Not one for the 1990 county sample PUMAs cross condition contours. For the 1990 Metro sample, PUMAs generally proceed with the boundaries of whole main metropolises, city Statistical avenues, Major Metropolitan Statistical locations, or non-metropolitan spots (discover METAREA for definitions of these terminology). If these segments go beyond 200,000 owners, they might be divided in to as much PUMAs of 100,000+ residents as you are able to. 1990 Metro trial PUMAs sometimes get across county lines; if they would, STATEFIP and STATEICP requirements aren’t designed for families when it comes to those PUMAs. PUMAs during the 2000 census, 2010 census, and the 2005-onward ACS/PRCS furthermore contains 100,000+ citizens, plus they usually do not cross county lines.

Observe that PUMA was state-dependent. The requirements need to be browse in combination with among the STATE variables (STATEFIP or STATEICP). PUMAs tend to be grouped by means (e.g., metropolitan, blended metro/nonmetro, non-metropolitan) during the changeable PUMATYPE. PUMA is similar to the district cluster variables, CNTYGP97 (1970) and CNTYGP98 (1980), plus the condition Economic neighborhood adjustable (ocean) for 1940 and 1950.

Note With regards to Multi-Year examples: The Census agency redraws PUMA boundaries every several years considering inhabitants info accumulated from the newest ples incorporate this new PUMAs within a few years from the Decennial Census. Understand comparability report to see which PUMAs are utilized in each test. In Multi-Year ACS data files, PUMA boundaries be determined by the original season the respondent ended up being questioned (see MULTYEAR). As an example inside 2010-2012 3-year ACS trial, respondents from 2010 and 2011 correspond to the Census 2000 situated PUMAs, while participants from 2012 correspond to the Census 2010 based PUMAs.

PUMA is actually a 5-digit numeric variable determining anyone utilize Microdata location (PUMA) where in fact the property device got operating. PUMAs are categorized by type (elizabeth.g., metropolitan, mixed metro/nonmetro, non-metropolitan) into the variable PUMATYPE. PUMA is similar to the state team variables, CNTYGP97 (1970) and CNTYGP98 (1980), additionally the county Economic location changeable (water) for 1940 and 1950. PUMA specific adjustable requirements for lacking, modified, or unknown findings, findings maybe not appropriate (N/A), findings not in world (NIU), leading and bottom part value programming, etc. are offered below by Census year (and data test if specified).

User notice: PUMAs become driven and coded in different ways your 1990 condition and Metro examples. During the 1990 State sample, PUMAs typically proceed with the limits of categories of counties, single counties, or census-defined “places”. If these locations meet or exceed 200,000 citizens, they’re divided in to as numerous PUMAs of 100,000+ owners as you can. Not one with the 1990 State test PUMAs cross condition traces. From inside the 1990 Metro sample, PUMAs normally follow the boundaries of entire central metropolitan areas, Metropolitan Statistical Places, biggest city Statistical Areas, or non-metropolitan spots (See METAREA for descriptions among these terminology). If these markets exceed 200,000 owners, these are typically divided into as numerous PUMAs of 100,000+ customers as you are able to. 1990 Metro test PUMAs often get across state contours; when they do, STATEFIP and STATEICP codes aren’t readily available for families when it comes to those PUMAs. PUMAs inside the 2000 census, 2010 census, while the 2005-onward ACS/PRCS in addition include 100,000+ residents, as well as don’t cross condition contours.

Consumer Note: PUMA try state-dependent, which means rules needs to be review in combination with one of the COUNTY variables: STATEFIP or STATEICP.

User Note: During The 2006-2011 ACS, people residing Louisiana PUMAs 01801, 01802, and 01905 were all coded as residing Louisiana PUMA 77777. For the reason http://www.datingperfect.net/dating-sites/twoo-reviews-comparison/ that these three PUMAs not any longer have sufficient inhabitants becoming integrated as individual entities due the effects of hurricane Katrina.

Comparability

This varying isn’t similar across age. PUMAs couldn’t always retain the exact same limitations or PUMA codes between 1990 and 2000. The borders and PUMA requirements are identical for 2000 census while the 2005-2011 ACS/PRCS examples, with one distinguished exception in Louisiana: due to people displacement appropriate Hurricane Katrina, three PUMA’s (01801, 01802, and 01905) include combined into rule 77777 for 2006-onward ACS as well as all covers from inside the 2005-2007 ACS 3-Year document. They don’t had sufficient population are incorporated as split organizations.

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