Overview Image: Estimated Population Densities (152kb)
| Eastern Asia (admin bnd image - 27kb) - (popdens image - 34kb) | |||||||||||||||
| CHN | 156 | China | 2 | 2422 | 87 | 1221462 | 1221462 | 63 | 504 | ||||||
| HKG | 344 | Hong Kong | 0 | 4 | 91 | 5865 | 5865 | 16 | 1466 | ||||||
| JPN | 392 | Japan | 2 | 47 | 88 | 126897 | 125095 | 89 | 2700 | ||||||
| PRK | 408 | Korea, North | 1 | 12 | 87 | 23917 | 23917 | 101 | 1993 | ||||||
| KOR | 410 | Korea, South | 1 | 15 | 90 | 47074 | 44995 | 81 | 3138 | ||||||
| MAC | 446 | Macau | 0 | 1 | 95 | 410 | 410 | 4 | 410 | ||||||
| MNG | 496 | Mongolia | 1 | 18 | 90 | 2369 | 2410 | 295 | 132 | ||||||
| South-Central Asia (admin bnd image - 19kb) - (popdens image - 110kb) | |||||||||||||||
| AFG | 4 | Afghanistan | 1 | 28 | 82 | 20146 | 20141 | 153 | 720 | ||||||
| BGD | 50 | Bangladesh | 3 | 486 | 91 | 119009 | 120433 | 17 | 245 | ||||||
| BTN | 64 | Bhutan | 1 | 19 | 85 | 1638 | 1638 | 50 | 86 | ||||||
| IND | 356 | India | 2 | 465 | 91 | 920469 | 935744 | 83 | 1980 | ||||||
| IRN | 364 | Iran | 1 | 24 | 86 | 66895 | 67283 | 262 | 2787 | ||||||
| KAZ | 398 | Kazakhstan | 1 | 17 | 90 | 17111 | 17111 | 400 | 1007 | ||||||
| KGZ | 417 | Kyrgyzstan | 1 | 3 | 90 | 4745 | 4745 | 257 | 1582 | ||||||
| MDV | 462 | Maldives | 0 | 1 | 95 | 254 | 254 | 17 | 254 | ||||||
| NPL | 524 | Nepal | 2 | 75 | 91 | 21914 | 21918 | 43 | 292 | ||||||
| PAK | 586 | Pakistan | 2 | 70 | 81 | 140486 | 140497 | 107 | 2007 | ||||||
| LKA | 144 | Sri Lanka | 2 | 24 | 92 | 18142 | 18354 | 52 | 756 | ||||||
| TJK | 762 | Tajikistan | 1 | 4 | 90 | 6101 | 6101 | 189 | 1525 | ||||||
| TKM | 795 | Turkmenistan | 1 | 4 | 90 | 4099 | 4099 | 349 | 1025 | ||||||
| UZB | 860 | Uzbekistan | 1 | 11 | 90 | 22843 | 22843 | 202 | 2077 | ||||||
| South-East Asia (admin bnd image - 13kb) - (popdens image - 55kb) | |||||||||||||||
| BRN | 96 | Brunei Darussalam | 1 | 2 | 81 | 276 | 285 | 54 | 138 | ||||||
| KHM | 116 | Cambodia | 1 | 150 | 94 | 9858 | 10251 | 35 | 66 | ||||||
| TMP | n.a. | East Timor | with Indonesia | ||||||||||||
| IDN | 360 | Indonesia | 2 | 293 | 90 | 195597 | 197588 | 81 | 668 | ||||||
| LAO | 418 | Laos | 1 | 133 | 95 | 4581 | 4882 | 42 | 34 | ||||||
| MYS | 458 | Malaysia | 1 | 14 | 90 | 19626 | 20140 | 154 | 1402 | ||||||
| MMR | 104 | Myanmar | 2 | 285 | 83 | 46315 | 46527 | 49 | 163 | ||||||
| PHL | 608 | Philippines | 2 | 74 | 90 | 68033 | 67581 | 64 | 919 | ||||||
| SGP | 702 | Singapore | 0 | 1 | 95 | 2848 | 2848 | 25 | 2848 | ||||||
| THA | 764 | Thailand | 1 | 72 | 90 | 59113 | 58791 | 84 | 821 | ||||||
| VNM | 704 | Viet Nam | 1 | 519 | 92 | 73090 | 74545 | 25 | 141 | ||||||
| Western Asia (admin bnd image - 12kb) - (popdens image - 34kb) | |||||||||||||||
| ARM | 51 | Armenia | 0 | 1 | 90 | 3398 | 3599 | 173 | 3398 | ||||||
| AZE | 31 | Azerbaijan | 1 | 3 | 90 | 8122 | 7558 | 170 | 2707 | ||||||
| BHR | 48 | Bahrain | 0 | 1 | 95 | 564 | 564 | 26 | 564 | ||||||
| CYP | 196 | Cyprus | 1 | 6 | 92 | 744 | 742 | 39 | 124 | ||||||
| GEO | 268 | Georgia | 1 | 4 | 90 | 5630 | 5457 | 132 | 1408 | ||||||
| IRQ | 368 | Iraq | 1 | 18 | 85 | 20588 | 20449 | 156 | 1144 | ||||||
| ISR | 376 | Israel | 1 | 7 | 90 | 6011 | 5629 | 54 | 859 | ||||||
| JOR | 400 | Jordan | 1 | 8 | 95 | 4431 | 5439 | 110 | 554 | ||||||
| KWT | 414 | Kuwait | 0 | 1 | 95 | 1547 | 1547 | 156 | 1547 | ||||||
| LBN | 422 | Lebanon | 0 | 1 | 95 | 3009 | 3009 | 102 | 3009 | ||||||
| OMN | 512 | Oman | 2 | 49 | 93 | 2196 | 2163 | 74 | 45 | ||||||
| PAL | 275 | Palestine | 1 | 2 | 93 | 2389 | n.a. | 14 | 1195 | ||||||
| QAT | 634 | Qatar | 0 | 1 | 95 | 551 | 551 | 107 | 551 | ||||||
| SAU | 682 | Saudi Arabia | 1 | 14 | 92 | 17879 | 17880 | 414 | 1277 | ||||||
| SYR | 760 | Syria | 1 | 13 | 88 | 14210 | 14661 | 120 | 1093 | ||||||
| TUR | 792 | Turkey | 1 | 73 | 90 | 63422 | 61945 | 103 | 869 | ||||||
| ARE | 784 | United Arab Emirates | 1 | 8 | 91 | 2129 | 1904 | 97 | 266 | ||||||
| YEM | 887 | Yemen | 1 | 8 | 86 | 14034 | 14501 | 244 | 1754 | ||||||
| Other countries included | |||||||||||||||
| RUS | 643 | Russia | 2 | 70 | 90 | 148146 | 148146 | 494 | 2116 | ||||||
| PNG | 598 | Papua New Guinea | 0 | 1 | 95 | 4302 | 4302 | 680 | 4302 | ||||||
| Sum | Avg | Sum | Avg | Avg | Avg | ||||||||||
| 5583 | 90 | 3594486 | 3608799 | 117 | 1148 | ||||||||||
Boundary data source:
Pop data sources:
1) Federal Statistical Office of Germany, Laenderbericht: Afghanistan 1989, J.B. Metzler & C.E. Poeschel, Wiesbaden, 1989.
Population for 1984 from (1) and for 1982 from (2). The growth rate 82-84 by province was adjusted by a constant (1.329) to yield a total pop 95 equal to
UN World Population Prospects national total for 1995.
The original database was produced by the National Statistical
Office of Bangladesh in collaboration with the
UNSTAT/POPMAP Project
The original data were compiled in
POPMAP which so far does not support true georeferencing.
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). The likely
positional error is estimated (= guesstimated) to lie between 500m
and 1km (the RMS error in the transformation was below 1000m and
rubbersheeting should have improved the fit further). 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
subnational level.
Pop data sources: 1) Bangladesh Central Statistical Office, Census of 1981
1) Bangladesh Central Statistical Office, Census of 1991
digital data obtained from UNSTAT/POPMAP Project
Pop figures computed using the average annual 81-91 growth rate calculated from 1) and 2). In cases where boundaries changed between 1981 and 1991, one of two approaches was taken:
a) if it was clear which district was split into which new districts, the growth rate was assumed uniform for all new districts.
b) if the disaggregation was not clear, the combined growth rate for the entire second level administrative unit was calculated and applied to all new third level units within that second level unit.
Boundary data source:
Database obtained from UNEP/GRID Tsukuba, Japan, based originally on World Data Bank II
Population data source:
District boundaries have changed in a number of instances since. However, no data or detailed boundaries were available for the new units.
POPEST95 estimated assuming constant growth rates across districts and using the
UN World Population Prospects figure as the control total. Basis for estimation were the estimated totals for '85 (based on the 82 census) published in 1).
Boundary data source:
No subnational boundaries available. National boundaries for the two parts of Brunei were taken from the Digital Chart of the World.
Pop data source:
Pop Data by district for 1981 only. However, no subnational boundaries available. Only the aggregate total for the 3 districts in the Western part:
Muara 114231 Seria/Belait 50768 Tutong 21615and the remaining total for the disjoint Eastern part
Temburong 6218 (Eastern part)were used. could be used. Total pop for 1995 from
UN World Population Prospects. These were split in proportion to the 1981 shares for the two regions.
Boundaries were obtained from the Mekong River Commission Project in Vientiane, Laos (Thomas Hoesli). Approximate scale 1:250,000. The coverage was converted from UTM (Zone 48) into Latlong. The district names were taken from a map produced by the UNITAC Cartographic Unit which had been digitized by the Cambodia National Institute of Statistics for a POPMAP application.
Pop data source:
Population data for 1994 are from the Cambodia National Institute of Statistics and have been obtained in digital form from the UNSTAT/POPMAP Project.
POPEST95 estimated by using the national-level average growth rate for 1990-95 available from the UN World Population Prospects.
For the following three districts no population figures were available Figures for these were estimated assuming the same density as the average for the neighboring districts (this is a highly unreliable estimate!):
Mongkol Borey Kiri Sakor Mondul SemaFor three provinces, no second level pop figures were available for any district:
Stoen Treng Mondol Kiri TakeoFor these provinces, the 1981 province pop totals from
Department of the Army, Cambodia: a Country Study. U.S. Government, Secretary of the Army: Washington D.C., 1990.
were projected to 1995 using national-level average annual growth rates for Cambodia from the UN World Population Prospects. Growth rate: 3.039 % p.a.
The following districts contained in the POPMAP database were aggregated to form Phnom Penh (DC) district:
Chamkar Mon, Prampi Makara, Don Penh, and Toul Kok.For Don Penh, no pop figure was available. It was therefore estimated assuming the same density as neighboring Toul Kok district (resulting in 86169 people for Don Penh).
Boundary data source:
Coverage of counties for 1980 obtained from National Geographic Society, Washington, D.C. (scale unknown) - see July 1991 issue of NGS Magazine. Coverage was converted from Albers projection into latlong coordinates.
Pop data sources:
1) Estimated 1987 population densities and areas from NGS coverage
Poston, D. & Yaukey, D., The Population of Modern China , Plenum Press, New York: 1992.
Densities were converted into total population and uniformly adjusted in each province to match the published 1990 province totals from 2). The resulting county level estimates were projected to 1995 using national growth rates. The resulting estimates are likely to have limited accuracy.
Potential users of these data are encouraged to contact the Consortium for International Earth Science Information Network (CIESIN) which will soon make a high quality China county coverage for the 1990 available.
Boundary data source:
First Book, Oblast-level digital database for the former Soviet Union, 1:10mio., New World Demographics, P.O. Box 866, Shady Side, MD 20764-0866.
Pop data source:
1) New World Demographics, Baseline Demographics for the Republics of the Former Soviet Union, Maryland, 1992.
Pop data available for 1992 only. POPEST95 derived by using national annual growth rates for each former republic from UN World Population Prospects.
Boundary data source:
Pop data source:
1) US Census Bureau Int'l Database
POPEST95 derived using average annual growth rates for 1973 from 1) and 1992 from 2).
Boundary data source:
Pop data source:
1991 Population for four parts of HKG (HKG Island, Kowloon and New Kowloon, Marine, and New Territories) from 1). Uniformly adjusted to match the 1995 total for HKG from the UN World Population Prospects.
Boundary data source:
The original database was produced by the National Statistical
Office of Indonesia in collaboration with the
UNSTAT/POPMAP Project
The original data were compiled in
POPMAP which so far does not support true georeferencing.
Source map scale and projection were unknown. The data were
first transformed into a standard projection (chosen as the
one with 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).
Based on the RMS error in the transformation,
the positional error introduced by these processing steps is
estimated (= guesstimated) to lie between 500m and 1km. 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
subnational level.
Pop data source:
Population data from the National Statistical Office of Indonesia, Census of 1990, were also provided by the UNSTAT/POPMAP Project in digital form.
No pop figures available for the following districts in Kalimantan Tengah:
Gunung Mas, Katingan, Barito Timur, and Murung Raya.Their population was estimated as their area times the average population density of the neighboring districts (12.04 p/sqkm). The accuracy of this estimate is likely to be limited.
POPEST95 derived by using '90 district totals and the district level population growth rate for 1990 as recorded in the Indonesian Census Office/UNSTAT-POPMAP database.
Boundary data source:
Coverage of district boundaries for the 1981 census obtained from Birkbeck College, London, Department of Geography. This coverage was updated to correct labeling errors and missing information and to incorporate changes between the 1981 and 1991 census. Various published sources were used for this purpose including:
India. Office of the Registrar General. Census atlas : national volume : Census of India 1981, series 1, part XII / direction, B.K. Roy, general direction, V.S. Verma. New Delhi : Controller of Publications, Civil Lines, c1988.
Surya Kant. Administrative geography of India, Jaipur : Rawat Publications, 1988.
Also used for reference was Indiamap, a comprehensive georeferenced database distributed by Demosphere International, 4300 Fair Lakes Court, Suite 300, Fairfax, VA 22033-4232, Fax: 703-802-0102.
Treatment of disputed areas:
Disputed areas were labeled separately using the following country identifiers: Areas disputed with Pakistan indicated by COUNTRY identifier of IN1, those disputed with China have a COUNTRY code of IN2.
Pop data sources:
1) Controller of Publications, Census of India 1981, series by state, Delhi, 1982; Data for 1981 (as well as '61 and '71 data) available in digital form via ftp from the University of Maryland.
2) Director of Census Operations, Census of India, 1991, Provisional population totals. series by state, Delhi, 1992.
IndiaMap (see above), was used as a secondary source.
POPEST95 estimated using district level growth rates for the 1981-1991 period. In cases where districts were split between the censuses, the same growth rate was assumed the resulting new districts. The following 1991 districts were created from a single 1981 district:
Arunachal Pradesh: Tirap & Changlang West Kamang & Tawang Assam:No district level estimates for 1981 available for Assam State - used state level growth rates.
Bihar: Dumka & Sahibganj & Godda & Deoghar <- Santhal Parg (Dumka) Gumla & Lohardaga & Ranchi Munger & Khagaria Saharsa & Madhepura Pashimi Singhhbum & Purbi Singhbhum Gaya & Jehanabad Jammu & Kashmir:Using state level growth rate (2.54) for those districts for which '81 figures were available. For the areas disputed with / occupied by Pakistan: Gilgit, figure from Europa Publications (statistics for Pakistan, "Northern Areas") for 1981 projected using avg J&K growth rate. Similarly for Chilas, Mirpur ("Azad Kashmir"). Accuracy of the resulting estimates is VERY uncertain!
The Pakistani-held parts of this region are known as Azad ("Free") Kashmir, with an area of 4,494 sq miles (11,639 sqkm) and a population of 1,980,000 in 1981, and Northern Areas (including Gilgit and Baltistan), with and area of 28,000 sq miles (72,520 sq km) and a population of 562,000 in 1981.Europa World Yearbook (information for Pakistan).
Haryana: Panipat & Karnal Kethal & Kurutshretra Kerala: Kollan & Pathanamithitta Kannur & Kasaragod Karnataka: Bangalore Urban & Rural Maharashtra: Aurangabad & Jalna Latur & Osmanabad Chandrapur and Garhchiroli Ratnagiri & Sindhudurg Manipur: Imphal & Bishnupur & Thoubal Rajasthan: Bharatpur & Daulpur Tamil Nadu: North Arcot & Tiruvannamalai Kamarajar & Pasumpon & Ramanathapuram Tirunelveli & Chidambaranar Madurai & Quaide Milleth Uttar Pradesh: Siddharthnagar & Basti Kandur Nagar & Kandur Dehat Firozabad & Mainpuri Maharajganj & Gorakhpur Maij & Azamgarh Saharanpur & Hardwar Sondbhadra & Mirzapur West Bengal: North & South 24 Panganas Goa: North and South Goa
Boundary data source:
Pop Data Source:
1) Statistical Centre of Iran, A Staticstical Reflection of The Islamic Republic of Iran. Plan and Budget Organization: Islamic Republic of Iran: 1990.
2) US Census Bureau Int'l Database
POPEST95 based on the average annual province-level growth rate between 1976 (from 2) and 1986 (from 1).
Boundary data source:
Coverage includes Iraq/Saudi Arabia Neutral Zone, with a COUNTRY identifier of 'IY' (as in WBDII), an ADMINID of 999000000, and a population of 0.
Pop Data Source:
1) Federal Statistical Office of Germany, Laenderbericht: Irak 1988, J.B. Metzler & C.E. Poeschel, Wiesbaden, 1988.
POPEST95 based on average annual province-level growth rates between 1977 (census totals) and 1985 (mid-year official estimates) from 1).
Boundary data source:
Coverage includes Israeli-occupied Golan Heights.
Pop Data Source:
1) Central Bureau of Statistics (1991), Statistical Abstract of Israel 1991, no. 42, Jerusalem 1991.
POPEST95 based on average annual province-level growth rates between 1989 and 1990 from 1).
Boundary data source:
Database obtained from UNEP/GRID Tsukuba, Japan, based originally on World Data Bank II
Pop Data Source:
1) Federal Statistical Office of Germany, Laenderbericht: Japan 1990, J.B. Metzler & C.E. Poeschel Verlag, Wiesbaden, 1990.
2) Asahi Shimbun Publishing Company, Japan Almanac 1993, Tokyo, 1992.
POPEST95 based on average annual prefecture-level growth rates between 1988 from 1) and 1990 from 2).
Boundary data source:
Pop data source:
1) Federal Statistical Office of Germany, Laenderbericht: Jordanien 1992, J.B. Metzler & C.E. Poeschel Wiesbaden, 1992.
POPEST95 based on average annual growth rates between 1985 and 1990 from 1).
Boundary data source:
Database obtained from UNEP/GRID Tsukuba, Japan, based originally on World Data Bank II
Pop Data Source:
1) Eberstatdt, Nichola and Banister, Judith, The Population of North Korea, Institute of East Asian Studies: Center for Korean Studies, Berkeley, CA, 1992.
Only 1987 population available from 1).: No other pop figures were available. Province level figures were thus uniformly inflated using the 1995 total pop estimate for PRK from UN World Population Prospects.
Boundary data source:
Database obtained from UNEP/GRID Tsukuba, Japan, based originally on World Data Bank II
Pop Data Source:
1) The Korean Statistical Association, Korea Statistical Yearbook Seoul, Korea, 1992.
POPEST95 based on average annual province-level growth rates between 1985 and 1990 from 1). For 1985, no separate figures were available for the municpalities of Taejon (included in Chungnam) and Kwangju (included in Chonnam). For these, 1985 figures were estimated assuming the same proportion of people in the municipal and the surrounding province as in 1990. The 1995 estimate thus assumes a constant growth rate in these cases.
Boundary data source:
The original database was produced by the National Statistical
Office of Laos in collaboration with the
UNSTAT/POPMAP Project
The original data were compiled in
POPMAP which so far does not support true georeferencing.
Source map scale and projection were unknown. The data were
first transformed into a standard projection (chosen as the
one with 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).
The positional error resulting from this procedure is
estimated (= guesstimated) to lie between 500m
and 1km. 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
subnational level.
Pop data source:
Population data from the National Statistical Office of Laos Census of 1995, were also provided by the UNSTAT/POPMAP Project in digital form.
Boundary data source:
Pop data sources:
POPEST95 estimated using average annual growth rates between 1980 from 1) and 1991 from 2).
Boundary data source:
Database obtained from UNEP/GRID Tsukuba, Japan, based originally on World Data Bank II
Pop data sources:
POPEST95 based on 1981 figures from 1) - these seem to be rough estimates rounded to the nearest 10000 - and 1990 figures from 2).
Boundary data source:
Pop data source:
1) The Socialist Republic of the Union of Burma 1983 Population Census, Ministry of Home and Religious Affairs, Immigration and Manpower Department, October, 1987, (publications by state)
2) US Census Bureau Int'l Database
Population for 1983 census from 1) by townships (2nd level).
Publications for Arakan (Rakhine) and Chin State provided by Dr. Griffith Feeney (East West Center, Hawaii).
POPEST95 estimated based on '83 township figures and state level growth rates between 1973 (from 2) and 1983 (from 1). The resulting estimates were very low when compared to the total estimated pop in the UN World Population Prospects suggesting an increasing growth rate after 1983. The 73-83 growth rates were therefore uniformly inflated by 1.3 to produce a population total close to the UN estimated figure -> this assumes that the growth rates increased uniformly throughout the country!
Problems: Arakan (Rakhine) State: No township polygon for Rathedaung township (14th township). Pop for this township was therefore added to Ponnagyun into which the town of Rathedaung falls.
Sagaing State: In the coverage, two townships were labeled Sagaing. In comparing with a Myanmar map, one of them was identified to be Sagaing township as it was located around the town with the same name. The other one, further north, was determined to be located around the town of Tantabin and was assigned that label. However, the census pub for this state did not list this township and all other townships were accounted for. But the total population listed for the state minus the total for the townships listed was not the same, and the residual - 32980 - was therefore assigned to Tantabin.
Shan State: Five townships - all located at the North-Eastern border with China - were not listed in the census publication most likely because of security reason - see note from the census publication provided by Griffith Feeney:
"Shan state covers ... and consists of 52 townships. In these townships there are 304 wards and 1632 village tracts. In carrying out the enumeration, 304 wards were fully covered. Out of the total of 1632 village tracts, 1142 were completely covered, 55 were partially covered and 435 were uncovered for security reasons."
Therefore, the residual population between the state total and the total for the 47 listed townships was distributed evenly to the 5 townships which are of approximately even size.
Boundary data source:
Digital map produced by Royce Jones, Geographic Decisions Int'l, 2800 Woodlawn Drive #244, Honolulu, HI 96822. Source map from Topographic Survey Branch, Survey of Nepal, scale: 1:500,000, date unknown.
Pop data source:
1) Central Bureau of Statistics, Statistical Yearbook of Nepal 1993, Kathmandu, Nepal, 1993.
Data for Development regions, zones, districts.
POPEST95 estimated using average annual district-level growth rates between 1981 and 1991. The resulting estimates were adjusted uniformly to better match the national total given by the UN World Population Prospects.
Boundary data source:
Boundaries do not represent administrative units! Subnational administrative boundaries were unavailable. Instead the main town corresponding to each of the Walayat (2nd subnational level) units was identified, and Thiessen polygons were constructed to derive regions. The resulting coverage provides a crude approximation of political subdivisions and gives a rough idea of population distribution in the country only.
Pop data source:
1) Sultanate of Oman, Preliminary results of the General Census of Population, Housing and Establishments, Muscat, 1993.
A few towns (6 and all in Al Wusta Governate/Region) could not be identified. All of these had a very low population of about 10k or less. Their population was distributed proportionately to the remaining towns in the Governate/Region. 1993 figures were extrapolated using national growth rate from the UN World Population Prospects. (4.23% for 1990-95). Population includes Omani (74% of national total) and non-Omani.
Map Name: Pakistan: Administrative Regions (1983) Map Location: Unviversity of Texas, Map Room, General Library Call Number: G 7641 P7 1983 S9 PCL MAP Map Projection: Lambert Conical Orthomorphic Map Scale: 1:2,500,000 Comments: Map includes international boarder with interior provinces. tic1: 24N, 62E tic2: 36N, 63E tic3: 36N, 78E tic4: 24N, 78E Digitized at NCGIA.
Int'l boundaries from DCW, except in disputed territory in the North, the boundaries were replaced with the arcs from the Birkbeck College India map. The disputed territories are included with the India coverage. (see India documentation)
Pop data sources:
Data for 1981 from:
1) Federal Bureau of Statistics: Government of Pakistan, Pakistan Statistical Yearbook 1989, Manager of Publications, Karachi 1989.
2) Population Census Organisation, Handbooks of Population Census Data (by province except for NW Frontier Area), Statistics Division, Govt of PAK, Karachi 1987.
POPEST95 estimation: Data were available for 1981 only. Total district totals were thus based on separately estimated urban and rural population shares (since the growth rates will be different depending on the degree of urbanization).
Estimation of urban district population for 1995 using published urban percentage figures from 2) and urban growth rates published in UN World Urbanization Prospects; -> rates for the three 5-year periods prior to 1995 (unavailable for NW Frontier Area). Rural share estimated using average annual rates from UN World Population Prospects.
Boundary data source:
Pop data sources:
1) UN World Population Prospects (Population figure for Gaza).
2) Population for the Westbank from CIA World Factbook (1993 on-line edition) POPEST95 for Westbank estimated using 1993 figure from 1) and growth rate of 2.9% p.a.
Map Name: Philippines Map Location: Berkeley Library Call Number: 16300 Map Projection: Lambert Conformal Conic Map Scale: 1:1,750,000 Comments: Map includes most islands as well as regional and provincial boundries. tic1: 21N, 116E tic2: 21N, 128E tic3: 4N, 127E tic4: 4N, 116E Digitized at NCGIA.
Pop data source:
1) National Statistical Coordination Board, 1990 Philippine Statistical Yearbook, Republic of the Philippines, 1990.
POPEST95 derived using average annual growth rates based on census population figures for 1980 and 1990 from 1).
Boundary data source:
Digitized at NCGIA from 1990 CIA Map at 1:6 mio scale.
Pop data source:
POPEST95 based on 1992 population estimates and national level growth rates from UN World Population Prospects
Boundary data source:
Pop Data Source:
1) Registrar General's Department (1993), Statistical Abstract of Sri Lanka 1993, Dept. of Census and Statistics, Ministry of Planning and Implementation, p. 26 & 35; census figures for 1981, estimated mid-year pop for 89 and 92.
A new district, Kilinochchi, was created in 1986. However, the boundaries for this district were not available. Similarly, the 1981 figures for this new district based on the census were not published. From the location of Kilinochchi town, and an examination of growth rates for the districts in its vicinity, it was judged that the new district was created from Jaffna district rather than from Mullaitivu. The '89 and '92 pop for Kilinochchi (97,000 and 104,000 respectively) were therefore added to Jaffna district total (raising its 81-92 growth rate to 1.49 from 0.47).
POPEST95 estimated using calculated district level growth rates from 1989 to 1992 from 1).
Sri Lanka did not have a census since 1981. All censuses have been cancelled until further notice.
Information provided by Patrick Gerland, UNSTAT/NY.
Boundary data source:
Pop data source:
1) Federal Statistical Office of Germany, Laenderbericht: Syrien 1990, J.B. Metzler & C.E. Poeschel, Wiesbaden, 1990.
POPEST95 based on average annual growth rates between 1980 and 1985 from 1).
Boundary data source:
Pop data sources:
1) National Statistical Office, 1990 Population and Housing Census, Thailand, Pho. So. 2533, Office of the Prime Minister,Bankok, 1990
2) US Census Bureau Int'l Database
POPEST95 based on average annual growth rates calculated using 1990 census figures from 1) and 1980 figures from 2). To account for the very large resulting estimate (possibly due to declining fertility rates = declining growth rates), a deflator of 0.7 was used to adjust the growth rates downward. The deflator was chosen so that the total pop for Thailand matched the total pop estimate for the country published in UN World Population Prospects.
Nakhon Phanom province in the Northeastern Region (across the border from Laos (Savannakhet) was split between the 1980 and 1990 census to create the new province Mukdahan. Since the exact new boundary was unavailable, Mukdahan's 1990 pop figures were added to Nakhon Phanom province (ADMINID: 764040400). Mukdahan was assigned a unique identifier.
Boundary data source:
Pop data source:
1) State Institute of Statistics, Statistical Yearbook of Turkey, Prime Ministry Republic of Turkey: 1991.
POPEST95 based on average annual growth rates derived using census figures for 1985 and 1990 from 1)
Boundary data source:
Pop data source:
1) Federal Statistical Office of Germany, Laenderbericht: Vereinigte Arabische Emirate 1990, J.B. Metzler & C.E. Poeschel, Wiesbaden, 1990.
POPEST95 based on average annual growth rates between 1980 and 1985 from 1).
Boundary data source:
The original database was produced by the National Statistical
Office of Vietnam in collaboration with the
UNSTAT/POPMAP Project
The original data were compiled in
POPMAP which so far does not support true georeferencing.
Source map scale and projection were unknown. The data were
first transformed into a standard projection (chosen as the
one with 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).
Based on the RMS error in the transformation, the
positional error is estimated (= guesstimated) to lie between 500m
and 1km. 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
subnational level.
Pop data source:
Official population estimates for 1992 based on the National Statistical Office of Vietnam, Census of 1989, were also provided by the UNSTAT/POPMAP Project in digital form. These were uniformly forecast to 1995 using national level growth rates.
Boundary data source:
Pop data sources:
Governate figures for 1986 for former North Yemen (Aden) from Europa Publications (1995), Middle East and North Africa 1995, 41st ed., London. Figure for 1981 for former South Yemen (Sana) - country-level data available only from Cambridge Gazetteer.
Boundary data source: Digital Chart of the World.
Pop data source: UN World Population Prospects.
Birkbeck College, Department of Geography, London. Based on World Databank II (see below). District names were added at NCGIA.
Defense Mapping Agency, Digital Chart of the World, digital data, 1:1 mio sclae, 1994, Arc/Info version produced by Environmental Systems Research Instititue.
United Nations Population Division, World Urbanization Prospects - The 1992 Revision. Department for Economic and Social Information and Policy Analysis, New York, 1992.
U.S. Government, World Data Bank II - 1:3 million, 1988,
Arc/Info
version produced by
Environmental Systems Research Instititue.
| Position | Item | Description |
| Polygon Attribute Table | ||
| 17 | SQKM | Area of the polygon |
| 21 | ADMSQKM | Area of the admin unit (sum of SQKM) |
| 25 | CODE | L-Land, IS-Island, IW-Inland Waterbody |
| 28 | ADMINID | Administrative Unit Id (see below) |
| 32 | COUNTRY | 3-Letter ISO Country Id |
| 35 | NAME1 | Name of first subnational level unit |
| 60 | NAME2 | Name of first subnational level unit
(N.A. if not available) |
| 85 | NAME3 | Name of first subnational level unit
(N.A. if not available) |
| 110 | FLAG | 1 for the major polygon belonging to the admin unit, 0 elsewhere (see below) |
| 112 | POPEST95 | Total estimated population 1995 |
| 116 | YEAR1 | Reference year upon which POPEST95 was based |
| 118 | POP1 | Published population in YEAR1 |
| Arc Attribute Table | ||
| 29 | FEATURE | 0 - International Boundary
1 - Boundary of first level unit 2 - Boundary of second level unit 3 - Boundary of third level unit 9 - Boundary with "outside polygon" |
ADMINID consisting of
3-digit UNSTAT country code +
2-digit first level unit code +
2-digit second level unit code +
2-digit third level unit code
To produce the subnational codes, the administrative units were
(a) sequentially numbered based on a list of administrative units in an official census publication if available, or
(b) alphabetically ordered otherwise.
FLAG indicates the major (i.e., biggest) polygon in cases where an administrative unit consists of more than one polygon. For all polygons belonging to the same unit, the full attribute information is replicated in the data table. Therefore, for any frequency table construction or summary statistics calculation, one needs to select the polygons with a FLAG value of one first to avoid double counting.
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