Socioeconomic Theme

 
Socioeconomic data are those related to combined social and economic conditions. It includes aspects of present day or historical human society, such as population and economic data from the Bureau of the Census.
 Population dynamics and distribution are key elements in understanding not only how and where people make their living, but how human interactions with the environment affect environmental change. The National Research Council has identified population dynamics as a priority area of research for the US Global Change Research Program. It points out the key role of georeferenced social data in improving our understanding of land use change and assessing impacts, vulnerability, and adaptation to global change (NRC 1994).

US Census data in Atlas GIS, Arc/Info, and MapInfo format can be obtained from CIESIN. More population and global change data sets are available from the Socioeconomic Data and Application Center (SEDAC).

For more information about how the Catalog Theme pages work, descriptions of download file formats, and so on refer to the Catalog Tips.
You will find that not everything works for every data layer in these listings. Our efforts at documenting, indexing, and distributing data are a work in progress. Although we cannot currently provide all the information you need to locate all data on this server, we will try to provide as much as possible at any given stage of a project.

The availability of the buttons on this page is a function of

1. The state of completion of documentation and data packaging for any given layer. The Catalog and the Clearinghouse will probably never be complete, but as we finish documentation for existing data sets, and for those that result from ongoing research projects we will add as much information to these pages as we can at various stages.
2. Our ability to distribute the data or the documentation. CAST does not 'own' all the data sets that reside in our warehouse. However we want to provide as much information to the public about these data sets as we can.

Themes