Skip to main content

Cities Transformed Demographic Change and Its Implications in the Developing World (2003) / Chapter Skim
Currently Skimming:

Appendix C: Linking DHS Surveys to United Nations City Data
Pages 487-494

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 487...
... containing the statistical annexes to a recent volume of World Urbanization Prospects, we assembled a composite city database that includes the following: · Raw population counts and estimates for capital cities and agglomerations of 100,000 population and above, taken from four recent volumes of the United Nations Demographic Yearbook · Extrapolated data series from World Urbanization Prospects (United Nations,2001) for cities of 750,000 population and above, covering the period 1950 to 2000 at 5-year intervals · Recent population estimates for capital city urban agglomerations, also taken from United Nations (2001)
Read the entire page →
From page 488...
... THE MATCHING PROCEDURE Faced with these difficulties, the panel undertook to match the DHS data on region and city size, as broadly and qualitatively defined, to the United Nations estimates of the population sizes of specific individual cities.2 Using the available DHS data and reports, together with geographic atlases (e.g., Cohen, 1998b) , we found that we could link the data in two ways.
Read the entire page →
From page 489...
... In deciding among the different United Nations population estimates, we gave first preference to the World Urbanization Prospects estimate, but if this was unavailable turned to the Demographic Yearbook estimate for the urban agglomerations or, if necessary, to the Yearbook estimate for the city proper. For the cases in which a DHS sampling cluster could be linked only to a set of cities, we constructed the weighted average of the 1990 populations for the cities in the set, using the city populations themselves as weights, and assigned this weighted average to the DHS sampling cluster.
Read the entire page →
From page 490...
... TABLE C-2 Urban Definitions in the Countries with a DHS Survey in the Panel's Dataset, as Recorded by the United Nations Country Definition Bangladesh Benin Bolivia Botswana Brazil Burkina Faso Burundi Places having a municipality (pourashava) , a town committee (shahar committee)
Read the entire page →
From page 491...
... Towns (places with municipal corporation, municipal area committee, town committee, notified area committee, or cantonment board) ; and all places having 5,000 or more inhabitants, a density of not fewer than 1,000 persons per square mile or 390 per square kilometer, pronounced urban characteristics, and at least three-fourths of the adult male population employed in pursuits other than agriculture.
Read the entire page →
From page 492...
... Populated centers with 100 or more dwellings grouped contiguously and administrative centers of districts. All cities and municipalities with a density of at least 1,000 persons per square kilometer; administrative centers, barrios of at least 2,000 inhabitants, and those barrios of at least 1,000 inhabitants which are contiguous to the administrative center, in all cities and municipalities with a density of at least 500 persons per square kilometer; and all other administrative centers with at least 2,500 inhabitants.
Read the entire page →
From page 493...
... Yemen SOURCE: United Nations (1998b: 37-55~.
Read the entire page →
From page 494...
... 494 CITIES TRANSFORMED TABLE C-3 Large Cities in the Countries Covered by DHS Surveys in the Panel's Dataset, by Region Population circa 1990 Region North Africa 1 to 5 Million Egypt: Giza, Alexandria; Morocco: Rabat, Casablanca; Tunisia: Tunis Cameroon: Douala; Cole d'Ivoire: Abidjan; Ghana: Accra; Kenya: Nairobi; Mozambique: Maputo; Nigeria: Ibadan; Senegal: Dakar; Sudan: Omdurman, Khartoum; Tanzania: Dar es Salaam; Zimbabwe: Harare Indonesia: Palembang, Tangerang, Medan, Surabaya, Bandung; Philippines: Quezon City Over 5 Million Egypt: Cairo Sub-Saharan Africa Southeast Asia South, Central, West Asia Bangladesh: Chittagong; India: Ludhiana, Varanasi, Kalyan, Visakhapatnam, Bhopal, Ulhasnagar, Madurai, Patna, Coimbatore, Indore, Vadodara, Kochi, Surat, Jaipur, Lucknow, Nagercoil, Napur, Kanpur, Pune, Ahmedabad, Bangalore, Hyderabad; Kazakhstan: Almaty; Pakistan: Multan, Rawalpindi, Peshawar, Gujranwala, Faisalabad, Lahore; Turkey: Konya, Izmir, Ankara; Uzbekistan: Tashkent Bolivia: La Paz; Brazil: Santos, Belem, Campinas, Nova Igua5cu, Brasilia, Curitiba, Fortaleza, Salvador, Recife, Porto Alegre, Belo Horizonte; Colombia: Barranquilla, Cali, Medell~n, Santa Fe de Bogota; Dominican Republic: Santo Domingo; Ecuador: Quito, Guayaquil; El Salvador: San Salvador; Guatemala: Guatemala City; Haiti: Port-au-Prince; Mexico: Ecatepec, Netzahualcoyotl, Puebla de Zaragoza, Monterrey, Guadalajara, Latin America Nigeria: Lagos Indonesia: Jakarta; Philippines: Manila; Thailand: Bangkok Bangladesh: Dhaka; India: Madras, Delhi, Calcutta, Mumbai; Pakistan: Karachi; Turkey: Istanbul Brazil: Rio de Janeiro, Sao Paulo; Mexico: Mexico City; Peru: Lima
Read the entire page →

Key Terms

  • administrative centers
  • demographic yearbook
  • sampling cluster
  • city population
  • city data

  • population estimates
  • dhs data
  • computer file
  • urban agglomerations
  • urbanization prospects

  • square kilometer
  • population data
  • world urbanization
  • dhs program
  • population counts

  • town committee
  • dhs sampling
  • yearbook estimate
  • sampling clusters
  • cantonment board

  • weighted average
  • sri lanka
  • central african
  • capital cities
  • city size

  • health surveys
  • nations demographic
  • latin america
  • west asia
  • burkina faso


    • This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
    More information on Chapter Skim is available.