The LandScan Global Population Database (2011) contains population counts at 30 arc second resolution (1 km. or finer). "Using an innovative approach with Geographic Information System and Remote Sensing, ORNL's LandScan™ is the community standard for global population distribution. At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 20, 2012. There is also a layer file (lspop2011.lyr) for ArcGIS. This dataset is part of the LandScan 2011 Global Population Database.
The LandScan Global Population Database was developed by the Oak Ridge National Laboratory (ORNL) for the U.S. Department of Defense (DoD). This dataset allows for quick and easy assessment, estimation, and visualization of populations-at-risk.

A subdirectory containing the ArcGIS grid (world_admin1) of the countries/sub-countries. These are the standard Level 1 Administrative Boundaries. The data table (VAT) contains the cell areas in the field: [Area]. The units are square kilometers. The Value Field simply represents a row numberfor a specific Latitude. All cells on the same row have the same area. Cell areas are largest at the equator and smallest at the poles. Each year the models incorporate administrative boundary changes, refine the spatial precision of international and sub-national administrative boundaries, and reconcile temporal census information and administrative boundary inconsistencies. The administrative unit level by which the census data is distributed varies considerably in size and spatial precision from country to country. The number of administrative units per nation and spatial fidelity of the boundaries are considered in the model parameterization process. Nations with few, but very large administrative areas require different weights in the model parameters to allocate representative populations to their appropriate locations. Generally, smaller administrative boundaries lead to better population distribution – if the boundaries are spatially accurate. However, small administrative areas that are poorly geo-referenced or spatially characterized actually induce population distribution errors. To mitigate these errors, where possible, analysts will merge poor sub-province boundaries to the province level and distribute the entire province population according to the population likelihood locations determined by the model rather than constrict population distributions to incorrect locations. Very small administrative or enumeration areas equivalent to US census blocks or block groups have unintended consequences for modeling an ambient population. Since the populations associated with census tables are places of residence, commercial and industrial areas may have zero or very low populations associated with them. Thus the output would be reflective of a residential only population distribution instead of an ambient population distribution. This dataset is part of the LandScan 2011 Global Population Database.
Accurate administrative boundary attributes are essential to the LandScan models since the population projections are joined to the boundaries which act as spatial controls for the population totals. The LandScan 2011 Global Population Database was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD).

This raster dataset contains areas of 30 second cells. The data table (VAT) contains the cell areas in the field: [Area]. The units are square kilometers. The Value Field represents a row number for a specific latitude. All cells on the same row have the same area. Cell areas are largest at the equator and smallest at the poles. This dataset is part of the LandScan 2011 Global Population Database.
The LandScan 2011 Global Population Database was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD). The data allows for quick and easy assessment, estimation, and visualization of populations-at-risk.

This raster dataset is a grid of world countries. These are the standard country boundaries. This dataset also contains a DBF (countries.dbf) giving the country name for each country "number" in the grid and has demographic factors similar to the Admin1 table. This dataset is part of the LandScan 2011 Global Population Database.
The LandScan 2011 Global Population Database was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD). This dataset contains boundary information for understanding and analyzing population statistics.