RAND Center for Population Health and Health Disparities Data Core Series

collection: series

Studies

7

Variables

8,114

Publications

13

About this Collection

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.

Studies

7 results

RAND Center for Population Health and Health Disparities (CPHHD) Data Core Series: Pollution, 1988-2004 [United States]

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.

RAND Center for Population Health and Health Disparities (CPHHD) Data Core Series: Decennial Census Abridged, 1990-2010 [United States]

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).

RAND Center for Population Health and Health Disparities (CPHHD) Data Core Series: Street Connectivity, 1990, 2000 [United States]

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.

Variables

8,114 results