RAND Center for Population Health and Health Disparities Data Core Series

In order to advance the understanding of the links between environment, behavior, and health, the National Institutes of Health established eight Centers for Population Health and Health Disparities; of which, the RAND Center is one. The RAND Center for Population Health and Health Disparities (CPHHD), along with the other centers, shares an overall goal: to support cutting-edge research to understand and reduce differences in health outcomes, access, and care.

The CPHHD is a part of RAND Health and has five basic objectives:

  1. (1) Study the effects of neighborhoods on health throughout the life cycle and the pathways by which these effects are felt.

  2. (2) Develop a rich data resource that can be used to enhance understanding of how neighborhoods influence health.

  3. (3) Develop robust community-based participatory research partnerships within each of the three cities in which RAND is located (Santa Monica, California; the Washington, D.C. area; and Pittsburgh, Pennsylvania).

  4. (4) Foster a community of interdisciplinary researchers - particularly biological and social scientists - focused on the social determinants of health, specifically the role of neighborhoods.

  5. (5) Inform public policies aimed at improving population health.

The CPHHD Data Core Series is a dynamic collection composed of a wide selection of analytical measures, encompassing a variety of domains, all derived from a number of disparate data sources. The purpose of the CPHHD Data Core series is to provide projects with the data tools necessary to conduct quality, population-based, health-relevant research. There are currently seven studies derived for a variety of substantive areas including: Cost-of-Living, Disability, Pollution, Segregation Indices, Street Connectivity, an Index of Neighborhood Socioeconomic Status, and an Abridged Decennial Census. The CPHHD Data Core's central focus is on geographic measures for census tracts, counties, and Metropolitan Statistical Areas (MSAs) from two distinct geo-reference points, 1990 and 2000. The number and comprehensiveness of the measures derived within each data set vary according to the expansiveness of the substantive area. Generally speaking, the time periods for which these data are available is the 1990-2000 time period, though data are available for years before and after this time frame, depending upon the data set.

Showing 1 to 7 of 7 entries.
Study Title/Investigator
Released/Updated
1.
The RAND Center for Population Health and Health Disparities (CPHHD) Data Core Series is composed of a wide selection of analytical measures, encompassing a variety of domains, all derived from a number of disparate data sources. The CPHHD Data Core's central focus is on geographic measures for census tracts, counties, and Metropolitan Statistical Areas (MSAs) from two distinct geo-reference points, 1990 and 2000. The current study, Cost-of-Living Indices, has four longitudinal datasets containing normalized, annualized cost-of-living indices for MSAs, two of them 1990 geo-referenced, and the other two 2000 geo-referenced. One dataset in each of the geo-reference years includes the higher cost MSAs of Alaska and Hawaii in the estimations and predictions; the other excludes these MSAs.
2011-05-13
2.
The RAND Center for Population Health and Health Disparities (CPHHD) Data Core Series is composed of a wide selection of analytical measures, encompassing a variety of domains, all derived from a number of disparate data sources. The CPHHD Data Core's central focus is on geographic measures for census tracts, counties, and Metropolitan Statistical Areas (MSAs) from two distinct geo-reference points, 1990 and 2000. The current study, Decennial Census Abridged, has two cross-sectional datasets, one longitudinal (interpolated) dataset, and one longitudinal (extrapolated) dataset containing a large number and variety of population and housing characteristics-related measures. These data are summarized at five different geographic levels: tract, county (FIPS), county (Geographic), MSA (Geographic), and state. The following types of measures constructed from the Census Bureau Population and Housing Characteristics data are included in the data for this collection: housing characteristics (stock, quality, ownership, costs, expenditures, occupancy, etc.), crowding (housing and population density), urbanicity, racial and ethnic composition, language, nationality, and citizenship. Further measures cover family/household structure, transportation, educational attainment, labor force, employment status, disabilities, income, poverty, and demographics (e.g., age, gender, and race).
2011-10-21
3.
The RAND Center for Population Health and Health Disparities (CPHHD) Data Core Series is composed of a wide selection of analytical measures, encompassing a variety of domains, all derived from a number of disparate data sources. The CPHHD Data Core's central focus is on geographic measures for census tracts, counties, and Metropolitan Statistical Areas (MSAs) from two distinct geo-reference points, 1990 and 2000. The current study, Disability, contains cross-sectional data from the year 2000. Based on the Decennial Census Special Table Series published by the Administration on Aging, this study contains a large number of disability measures categorized by age (55+), type of disability (sensory, learning, employment, and self-care), and poverty status.
2011-05-13
4.
The RAND Center for Population Health and Health Disparities (CPHHD) Data Core Series is composed of a wide selection of analytical measures, encompassing a variety of domains, all derived from a number of disparate data sources. The central focus of the CPHHD Data Core is on geographic measures for census tracts, counties, and Metropolitan Statistical Areas (MSAs) from two distinct geo-reference points, 1990 and 2000. The current study, Neighborhood Socioeconomic Status Index, has three datasets available, each containing a normalized socioeconomic index of disadvantage for census tracts: two of them 1990 geo-referenced, and the other 2000 geo-referenced. Two of the datasets are cross-sectional and one is longitudinal; each of them contain a normalized, annualized socioeconomic status measure. Currently, the data are summarized only at the census tract level due to the fact that the goal of this study is to provide a measurement at the neighborhood level, and the census tract is the finest geographic level available in the Data Core.
2011-05-13
5.
The RAND Center for Population Health and Health Disparities (CPHHD) Data Core Series is composed of a wide selection of analytical measures, encompassing a variety of domains, all derived from a number of disparate data sources. The CPHHD Data Core's central focus is on geographic measures for census tracts, counties, and Metropolitan Statistical Areas (MSAs) from two distinct geo-reference points, 1990 and 2000. The current study, Pollution, comprises data for three criteria pollutants, Particulate Matter 10 ug3 (PM 10), Particulate Matter 2.5 ug3 (PM 2.5), and Ozone (O3), each with two different geo-references (1990 geo-reference and 2000 geo-reference), with aggregations made either to quarterly/annual (PM*) or monthly/summertime (O3), each at three different geographic levels of summary (tract, county (geographic), and MSA (geographic)). All data sets in the series are longitudinal, though with different periods of coverage, depending upon the pollutant. The specific available measures vary depending upon the geographic level of summarization.
2011-10-21
6.
The RAND Center for Population Health and Health Disparities (CPHHD) Data Core Series is composed of a wide selection of analytical measures, encompassing a variety of domains, all derived from a number of disparate data sources. The CPHHD Data Core's central focus is on geographic measures for census tracts, counties, and Metropolitan Statistical Areas (MSAs) from two distinct geo-reference points, 1990 and 2000. The current study, Segregation Indices, has cross-sectional and longitudinal data sets, containing a number of non-spatially sensitive segregation indices based on the main Decennial Census. These indices are considered non-spatial in that the indices did not take into account any spatial relationships of the geographical entities (i.e., distances apart, clustering within, spatial concentrations, etc.), only association of tracts with either County and/or MSA. In addition, the data are summarized at two different geographic levels: County (Geographic) and MSA (Geographic). The data consist of 11 different segregation indices, with several different binary indicators, and a 5-race indicator. Measures include: Normalized Simpson Interaction Diversity Index, Entropy Diversity Index, Dissimilarity Segregation Index, Gini Segregation Index, Information Theory Segregation Index, Squared Coefficient of Variation Segregation Index, Relative Diversity Segregation Index, N-group Normalized Exposure Segregation Index, Exposure Index, Isolation Index, and 2-group Normalized Exposure Index.
2011-05-13
7.
The RAND Center for Population Health and Health Disparities (CPHHD) Data Core Series is composed of a wide selection of analytical measures, encompassing a variety of domains, all derived from a number of disparate data sources. The CPHHD Data Core's central focus is on geographic measures for census tracts, counties, and Metropolitan Statistical Areas (MSAs) from two distinct geo-reference points, 1990 and 2000. In this collection, Street Connectivity, two datasets are available: one for the 1990 Census and another for the 2000 Census. These files contain one record per census tract and have several measures associated with the street network data based on the TIGER/Line files available for each Census. These measures have been computed using ArcGIS software. At the tract level, the type of measures included are: number of street segments and intersections, average and median block length and block size, ratios of the actual number of complete loops to the maximum number of possible loops given the number of intersections, and ratios of the actual number of street segments to the maximum possible given the number of intersections.
2011-06-03