Small Area Estimates of Poverty and Inequality, v1: Poverty Mapping

Small Area Estimates of Poverty and Inequality, v1 (1990 – 2002)

Purpose:

To provide high spatial resolution subnational estimates of poverty and inequality for use by a wide user community for interdisciplinary studies of poverty, inequality and the environment.

Abstract:

The Poverty Mapping Project: Small Area Estimates of Poverty and Inequality data set consists of consumption-based poverty, inequality and related measures for subnational administrative units in approximately twenty 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 estimates techniques. The collection of data have been compiled, integrated and standardized from the original data providers into a unified spatially referenced and globally consistent data set. The data products include shapefiles (vector data), tabular data sets (csv format), and centroids (csv file with latitude and longitude of a geographic unit and associated poverty estimates). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with a number of external data providers.

Recommended Citation(s)*:

Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Poverty Mapping Project: Small Area Estimates of Poverty and Inequality. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H49P2ZKM. Accessed DAY MONTH YEAR.

ENW (EndNote & RefWorks)†
RIS (Others)

* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.

† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.

Available Formats:

vector, tabular, map