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National Longitudinal Land Use Survey (NLLUS)

The National Longitudinal Land Use Survey is a survey that was conducted in 1994, 2003, and 2019. It covers land use planning practices in jurisdictions across the United States. These datasets make available the results of all three survey iterations.

The NLLUS Longitudinal Land Use Dataset includes information from the 2019, 2003, and 1994 Land Use Datasets. The dataset includes data on land use planning empowered jurisdictions in the areas surrounding 52 large US cities that had qualified as the top 25-50 largest population Core Based Statistical Areas (CBSAs), metropolitan statistical areas (MSAs) or Combined Metropolitan Statistical Areas (CMSAs) in 1990, 2000, or 2014. The dataset contains 3144 jurisdictions. Respondent's answers to the survey can be traced over the course of the three iterations–732 responded in both 2003 and 1994; 1,108 responded in both 2003 and 2019; and 439 responded in all three years. The dataset includes both a comparable set of variables that have been standardized across all years as well as the original variables from all three survey datasets. Both wide and long versions of the dataset are provided. Comparable variables have a letter grade according to the degree of wording and context similarity between the original instruments: A is most comparable and C is least.

The NLLUS 2019 Land Use Dataset includes information collected by the Urban Institute in collaboration with Rolf Pendall in 2019. The dataset includes data on land use planning empowered jurisdictions with populations over 10,000 within the top 50 Core Based Statistical Areas (CBSA) (as of 2014) and a sample of land use planning empowered jurisdictions with populations under 10,000 for select CBSAs where jurisdictions with population over 10,000 represented less than 60% of the CBSA’s land area. It also includes jurisdictions who responded to the survey in 1994 or 2003. The survey was sent to 2,873 eligible jurisdictions and 1,704 responded.

The NLLUS 2003 Land Use Dataset includes information collected by Rolf Pendall and Jake Wegman . The 2003 survey modified some of the questions and expanded the sample to include the largest 50 MSAs and CMSAs as of 2000. It also expanded to include jurisdictions with fewer than 10,000 residents in metropolitan areas where jurisdictions with more than 10,000 people covered less than 60% of the total MSA land area. The survey was sent to 2,365 jurisdictions and 1,820 responded.

The NLLUS 1994 Land Use Dataset includes information collected by Rolf Pendall as part of his dissertation at the Institute for Urban and Regional Development at the University of California at Berkeley in 1994. The dataset includes data on land use planning empowered jurisdictions in the 25 most populous metropolitan statistical areas (MSAs) or Combined Metropolitan Statistical Areas (CMSAs) as of 1990. The survey was sent to planning directors in 1,530 jurisdictions with populations over 10,000 that have land use planning power, and 1,168 jurisdictions responded.

These fields are compatible with DCAT, an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.
FieldValue
Modified
2020-02-23
Release Date
2019-09-30
Frequency
Irregularly
Identifier
500cb90d-0cb4-4b48-8620-f32e25a3ad70
Temporal Coverage
1994-04-01 00:00 to 2019-02-15 00:00
License
Granularity
Jurisdiction
Author
Urban Institute
Contact Name
Lydia Lo
Data Dictionary Type
pdf
Contact Email
Public Access Level
Public
These fields are specific to Urban Institute.
FieldValue
Data Dictionary Files
Project Code
101899-0001-001
Related Documents
Geographic Level
Data Value
Units of Observation
Data Quality or Limitations

See NLLUS User Guide

Citation Requirements

Lydia Lo, Megan Gallagher, Rolf Pendall, Ananya Hariharan, Christopher Davis. National Longitudinal Land Use Survey: Beta Version. The Urban Institute: Washington, DC, 2019. Accessible from: https://datacatalog.urban.org/dataset/national-longitudinal-land-use-sur.... Data developed at the Urban Institute, and made available under the ODC-BY 1.0 Attribution License.