BGRLv1 | |
Data format: Shapefile File or table name: BGRLv1 Coordinate system: Geographic Theme keywords: CIESIN > Human Attitudes, Preferences, and Behavior > Consumer Behavior > Poverty |
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Abstract:
The Small Area Estimates of Poverty and Inequality dataset consists of spatially referenced consumption-based measures of poverty and inequality for subnational administrative areas of various countries throughout Africa, Asia, Europe, North America and South America. These measures are derived, on a country-level basis, from a combination of census and survey data using small area estimation techniques developed for poverty mapping. The collection of data sets have been compiled, integrated and standardized from the original data providers into a unified, spatially referenced and globally consistent dataset. The data products include shapefiles (vector data), tabular datasets (in comma seperated values format) and centroids (comma seperated values file with latitude and longitude of a geographic unit and associated poverty estimates). Additionally, a data catalog (in Excel format) contains detailed information and documentation on each data set in the collection. The collection is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with a number of external data providers. |
Metadata elements shown with blue text are defined in the Federal Geographic Data Committee's (FGDC) Content Standard for Digital Geospatial Metadata (CSDGM). Elements shown with green text are defined in the ESRI Profile of the CSDGM. Elements shown with a green asterisk (*) will be automatically updated by ArcCatalog. ArcCatalog adds hints indicating which FGDC elements are mandatory; these are shown with gray text.
The Small Area Estimates of Poverty and Inequality dataset consists of spatially referenced consumption-based measures of poverty and inequality for subnational administrative areas of various countries throughout Africa, Asia, Europe, North America and South America. These measures are derived, on a country-level basis, from a combination of census and survey data using small area estimation techniques developed for poverty mapping. The collection of data sets have been compiled, integrated and standardized from the original data providers into a unified, spatially referenced and globally consistent dataset. The data products include shapefiles (vector data), tabular datasets (in comma seperated values format) and centroids (comma seperated values file with latitude and longitude of a geographic unit and associated poverty estimates). Additionally, a data catalog (in Excel format) contains detailed information and documentation on each data set in the collection. The collection is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with a number of external data providers.
To provide highly resolved subnational estimates of poverty and inequality for use by a wide user community for interdisciplinary studies of poverty, inequality and the environment.
This is the first version (Version 1.0) of the Small Area Estimates data set. If you discover any errors or have any comments regarding the dataset please contact ciesin.info@ciesin.columbia.edu
The nominal year of reference for the poverty estimate, based on the input Census year.
The Trustees of Columbia University in the City of New York hold the copyright of this dataset. Users are prohibited from any commercial, non-free resale, or redistribution without explicit written permission from CIESIN. Users should acknowledge CIESIN as the source used in the creation of any reports, publications, new data sets, derived products, or services resulting from the use of this data set. CIESIN also requests reprints of any publications and notification of any redistributing efforts. Additional Restrictions from original data set provider: Spatial data an be redistributed, unchanged only, with citation.
CIESIN, Columbia University, 61 Route 9W, P.O. Box 1000
http://www.ciesin.columbia.edu/povmap/ds_info.html
Spatial Data: Second Administrative Level Boundaries (SALB), United Nations, http://www3.who.int/whosis/gis/salb/salb_home.htm Attribute Data: Ivaschenko O. (2004). Poverty and Inequality Mapping in Bulgaria: Final Report, pp. 69.
Changes made to the original data are noted in the Small Area Estimates datasets catalog available for download at http://www.ciesin.columbia.edu/povmap/ds_info.html
Country name (in English)
Name of the administrative unit
Numeric key of the administrative unit
Numeric key of the administrative unit's parent, or higher-leve (larger) administrative unit in which it falls
Code for administrative level
Numeric key used to link attribute data to spatial features
Internal feature number.
ESRI
Area of the surrounding spatial feature as measured in square kilometers
The nominal year of reference of the poverty estimate, based on the input Census year
Feature geometry.
ESRI
For a description of additional poverty and inequality attribute fields available, for a given country and administrative level, please see the Small Area Estimate catalog available at http://www.ciesin.columbia.edu/povmap/ds_info.html
CIESIN, Columbia University, 61 Route 9W, P.O. Box 1000
CIESIN follows procedures designed to ensure that data disseminated by CIESIN are of reasonable quality. If, despite these procedures, users encounter apparent errors or misstatements in the data, they should contact SEDAC User Services at +1 845 365-8920 or via email at ciesin.info@ciesin.columbia.edu. Neither CIESIN nor NASA verifies or guarantees the accuracy, reliability, or completeness of any data provided. CIESIN provides this data without warranty of any kind whatsoever, either express or implied. CIESIN shall not be liable for incidental, consequential, or special damages arising out of the use of any data provided by CIESIN.
The data are available from the Socioeconomic Data and Applications Center (SEDAC) in comma separated values (CSV) and ESRI Shapefile (SHP) formats via direct download at http://www.ciesin.columbia.edu/povmap/ds_nat_all.html.
CIESIN, Columbia University, P.O. Box 1000, 61 Route 9W