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1. Administrative Units with Populations, Pakistan, 1998

1998. Asian Spatial Information and Analysis Network (Australia). Australian Centre. and Griffith University. This polygon shapefile contains the administrative unit boundaries for Pakistan in 1998. Administrative units consist of 4 provinces, one federal c... Asian Spatial Information and Analysis Network (Australia). Australian Centre.

2. Autonomous Republics with Census Populations, Republic of Georgia, 1989

1989. Asian Spatial Information and Analysis Network (Australia). Australian Centre. and Griffith University. This polygon shapefile contains the boundaries for autonomous republics within the Republic of Georgia. Populations from the 1989 Soviet census are... Asian Spatial Information and Analysis Network (Australia). Australian Centre.

3. Cities and Towns with Populations: Kurgan-Tyube Oblast, Tajik Soviet Socialist Republic, 1989

1989. Asian Spatial Information and Analysis Network (Australia). Australian Centre. and Griffith University. This point shapefile contains the cities and towns boundaries in the Kurgan-Tyube oblast of the Tajik Soviet republic. Populations from the 1989 so... Asian Spatial Information and Analysis Network (Australia). Australian Centre.

4. District Boundaries with Populations: Tajikistan, 1989

1989. Asian Spatial Information and Analysis Network (Australia). Australian Centre. and Griffith University. This polygon shapefile contains the district boundaries of the Soviet Socialist Republic of Tajikistan. Populations from the 1989 Soviet census are... Asian Spatial Information and Analysis Network (Australia). Australian Centre.

5. Districts with Census Populations, Pakistan, 1998

1998. Asian Spatial Information and Analysis Network (Australia). Australian Centre. and Griffith University. This polygon shapefile contains the district boundaries for Pakistan in 1998. These are the thrid level administrative divisions (ADM3). Districts ... Asian Spatial Information and Analysis Network (Australia). Australian Centre.

6. Municipalities with Census Populations, Republic of Georgia, 1989

1989. Asian Spatial Information and Analysis Network (Australia). Australian Centre. and Griffith University. This polygon shapefile contains the municipality boundaries for the Republic of Georgia. These are the level 2 administrative divisions (ADM2). Eac... Asian Spatial Information and Analysis Network (Australia). Australian Centre.

7. Region Boundaries with Populations: Tajik Soviet Socialist Republic, 1989

2008. Asian Spatial Information and Analysis Network (Australia). Australian Centre. and Griffith University. This polygon shapefile contains the region boundaries of Tajik Soviet Socialist Republic (later: Tajikistan). These are the level 2 administrative ... Asian Spatial Information and Analysis Network (Australia). Australian Centre.

8. China County Map with 2010 Population Census Comparation Data from Long Form Data

2010. University of Michigan. China Data Center and Beijing Hua tong ren shi chang xin xi you xian ze ren gong si. This polygon shapefile represents the boundaries of counties in China with 2010 Population Census Long Form data. Two types of questionnaires (long... Beijing Hua tong ren shi chang xin xi you xian ze ren gong si.

9. China County Map with 2010 Population Census Comparation Data from Short Form Data

2010. Beijing Hua tong ren shi chang xin xi you xian ze ren gong si and University of Michigan. China Data Center. This polygon shapefile represents the boundaries of counties in China with 2010 Population Census Short Form data. Two types of questionnaires (lon... Beijing Hua tong ren shi chang xin xi you xian ze ren gong si.

10. County/District Locations with 2000 Population Census Data: Beijing Province, China, 2000

2000. University of Michigan. China Data Center and Beijing Hua tong ren shi chang xin xi you xian ze ren gong si. This point shapefile represents the district locations, with 2000 population census data, for the Beijing province of China for 2000. These data ar... Beijing Hua tong ren shi chang xin xi you xian ze ren gong si.