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Gridded Population of the World - v3
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Asia - Bangladesh Summary
Population 2000
(NSO-Based Estimate '000)
Population 2000
(UN '000)
Area
(km2)
Avg. Input Resolution (km) Number of Administrative Units Population Per Administrative Unit
( '000)
Number of Urban Extents Number of Settlement Points
121,798
137,439
136,305
17
486
251 130 157
 
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Names | Administrative Classifications | National Population Estimates | National Spatial Estimates |
Settlement Points | Urban Areal Extents | Urban Areal Extents, by Source | Notes

 
Names
ISO3-Code
BGD
Continent
Asia
Country Name
Bangladesh
Administrative Classifications
Level Used
3
Leve1 Type
Division
Level2 Type
Zila
Level3 Type
Thana
Number of Units
486
Population Per Unit ('000) (2000, estimate)
251
National Population Estimates
Last Year of Reference
2001
NSO-Based Estimated Population, 1990 ('000)
104,013
NSO-Based Estimated Population, 1995 ('000)
112,476
NSO-Based Estimated Population, 2000 ('000)
121,798
UN Population, 1990 ('000)
110,025
UN Population, 1995 ('000)
123,612
UN Population, 2000 ('000)
137,439
National Spatial Estimates
Area (km2)
136,305
Average Input Resolution (km)
17
Settlement Points
Number of Settlement Points
157
Largest Settlement, by Population (2000, estimate)
5,418,584
Smallest Settlement, by Population (2000, estimate)
9,473
Mean Settlement, by Population (2000, estimate)
116,303
Urban Areal Extents
Number of Urban Extents
130
Largest Urban Extent (km2)
1,282
Smallest Urban Extent (km2)
6
Mean Urban Extent (km2)
78
Total for All Urban Extent (km2)
10,185
Largest Urban Extent (population, 2000)
9,804,932
Smallest Urban Extent (population, 2000)
8,458
Mean Urban Extent (population, 2000)
236,065
Total for All Urban Extent (population, 2000)
30,688,443
% Total Land Area in Urban Extents (km2)
7%
% Total Population in Urban Extents (2000, estimate)
25%
% Total Population that is Urban (2001, UN World Urbanization Prospects)
26%
Urban Areal Extents, by Source
Nighttime Lights Data
86
Regression-estimated Extents
44
Digital Chart of the World
0
Other
0
Notes
Administrative Population Source Data: "2001 census, Population Census 2001 Preliminary Report, http://www.bbsgov.org/ .Bangladesh Central Statistical Office, Census of 1991, digital data obtained from the UNSD/POPMAP Project.."
Administrative Boundary Source Data: "UNEP/GRID-WRI-NCGIA Asia Population Database: http://grid2.cr.usgs.gov .The original database was produced by the National Statistical Office of Bangladesh in collaboration with the UNSD/POPMAP Project. "
Settlement Point Population Source Data: Bangladesh Population Census 1991, Vol. 3: Urban Area Report, www.bbsgov.org/; Bangladesh Population Census 2001 Preliminary Report, Census Bureau; City Population, www.citypopulation.de; World Gazetteer, www.gazetteer.de
Settlement Point Coordinate Source Data: ASCities, Getty, NIMA, Times Atlas of the World, 1999, UNSD, World Gazetteer
Urban Criteria for Settlements (UN): Places having a municipality (Pourashava), a town committee (Shahar commit?tee) or a cantonment board. In general, urban areas are a concentration of at least 5,000 persons in con?tinuous collection of houses where the community sense is well developed and the community main?tains public utilities, such as, roads, street lighting, water supply, sanitary arrangements etc. These places are generally centres of trade and com?merce where the labour force is mostly non?agricultural and literacy levels are high. An area that has urban characteristics but has fewer than 5,000 inhabitants may, in special cases, be consid?ered urban.
Administrative Population Edits and Notes: "The 2001 Census data assigned four Zila units (Hobiganh, Moulavibazar, Sylhet, and Sunamganj) to the new Sylhet Division. These units split from the Chittagong Divison.Population data were extrapolated to target years of 1990, 1995 and 2000 using Zila (administrative level 2) inter-censal growth rates applied to the 1991 Thana (administrative level 3) population data."
Administrative Spatial Edits and Notes: The original data were compiled in POPMAP which at that time did not support true geo-referencing. Source map scale and projection were unknown. The data were first transformed into Transverse Mercator Projection (which resulted in the lowest error among several possible projections evaluated) and then projected into lat/long (ie, geographic) coordinates. Rubbersheeting was then performed on the resulting coverage to improve the match with the country and coastal outline from the Digital Chart of the World (DCW). Thus, the coverage is suitable for regional and continental scale applications as well as for visualization of spatial pattern using census data. It should not be used for high resolution applications at the sub-national level.
 

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