Improving Statistics for Measuring Development Outcomes
This presentation is the property of its rightful owner.
Sponsored Links
1 / 13

UN-HABITAT, Nairobi 26 May, 2003 PowerPoint PPT Presentation


  • 49 Views
  • Uploaded on
  • Presentation posted in: General

Improving Statistics for Measuring Development Outcomes The need to accommodate rapid urbanization in the national statistical plan. UN-HABITAT, Nairobi 26 May, 2003. World Population Growth Will Be Mainly Urban. Almost All Growth Will Take Place in Cities of Poor Countries.

Download Presentation

UN-HABITAT, Nairobi 26 May, 2003

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Un habitat nairobi 26 may 2003

Improving Statistics for Measuring Development OutcomesThe need to accommodate rapid urbanization in the national statistical plan

UN-HABITAT, Nairobi

26 May, 2003


World population growth will be mainly urban

World Population Growth Will Be Mainly Urban


Almost all growth will take place in cities of poor countries

Almost All Growth Will Take Place in Cities of Poor Countries


Especially in their smaller cities

Especially in Their Smaller Cities


Developing country rapid urbanizaton leads to an increase in informal settlements

Developing Country Rapid Urbanizaton Leads to an Increase in Informal Settlements

  • Urban growth in developing countries comes primarily from individuals migrating from the rural areas (Nairobi: 90% of recent arrivals to the slum areas came from rural Kenya).

  • In the cities of developing countries there is restricted access to formal serviced land by the urban poor (limited formal land market activities, and limited access to credit)

  • The urban irregular informal land market meets the demand of the urban poor (and is apparently both more profitable and easier to develop) Smolka, Lincoln Institute, ref Latin America.

  • The result has been a rapid increase in the informal or slum areas. The formal serviced land market is not responding to the demand.


Need to sample the slum areas

Need to sample the slum areas

  • Slum areas are home health risks equivalent to those in the rural areas.

  • National statistical practice and planning has been masking the problems of the urban poor.

  • Poverty is still regarded as a predominantly rural problem.

  • Sample sizes in the urban areas have been too small to disaggregate into slum areas .


Where intra city differentials have been possible the differences are stark

Where intra-city differentials have been possible the differences are stark.

  • In Accra it was estimated that mortality rates were 3 to 5 times higher in high density poor areas (Songsore and McGranahan 1993). However, the perception by national planners is that those living in Accra are uniformly better off.

  • Differentials in malnutrition are consistently larger in urban than in rural areas according to a ten country study using the DHS data.

  • There are similar examples from Bangladesh, Philippines, Kenya.


Un habitat nairobi 26 may 2003

SOCIOECONOMIC DIFFERENTIALS IN CHILD STUNTING ARE CONSISTENTLY LARGER IN URBAN THAN IN RURAL AREASPurnima Menon, Marie T. Ruel, and Saul S. MorrisFood Consumption and Nutrition DivisionInternational Food Policy Research Institute

  • “Our study showed that children living in urban areas might be up to 10 times more at risk of being stunted if they are from poor households compared to children from households of higher socioeconomic status. The fact that there are consistently such strong socioeconomic gradients in urban areas of developing countries implies that reliance on global average statistics to allocate resources between rural and urban areas could be dangerously misleading, a point originally made by Basta (1977). We have previously shown that the “average” urban child is consistently less likely to suffer from stunting than the “average” rural child (Ruel et al. 1998), yet in virtually every case studied in the present analysis, there was a distinct group of highly vulnerable urban children that should be high on the list of national priorities for nutrition-oriented interventions.”

  • “This piece of research demonstrates the dire need for program and policy attention to ameliorate the nutrition situation of the population living in poor urban areas.”


Un habitat nairobi 26 may 2003

Infant Mortality Higher in Dhaka Slum than in Rural Bangladesh, 1991


Un habitat nairobi 26 may 2003

SOME URBAN FACTS OF LIFE: IMPLICATIONS FORRESEARCH AND POLICYMarie T. Ruel, Lawrence Haddad, and James L. Garrett

  • “The prevalence of diarrhea among the urban low SES group was also greater than among the rural low SES group in 7 of the 11 countries studied. Thus, overall diarrhea prevalence rates in urban areas rival those found in rural areas, and poor urban dwellers are often worse off than the rural poor in that regard.”


Un habitat nairobi 26 may 2003

SOME URBAN FACTS OF LIFE: IMPLICATIONS FORRESEARCH AND POLICYMarie T. Ruel, Lawrence Haddad, and James L. Garrett


Rapid urbanization requires that we begin to routinely provide data on intra city differentials

Rapid urbanization requires that we begin to routinely provide data on intra-city differentials

  • Nearly all the projected urban growth for the next decades will be in developing countries. (WUP 2001)

  • The current estimated 924 million slum dwellers could increase to 1.5 billion by 2020. Almost all of the increase in the urban areas of developing countries.

  • The current estimate of the percentage of slum dwellers in Sub-Saharan Africa is more that 70%

  • We have no evidence that this proportion is decreasing; to the contrary the evidence seems to point to an increase in the number of urbanpoor.


Summary

Summary

  • Slum dwellers are paying in lives for urbanization that is not being addressed by national and local authorities. (mortality, morbidity, malnutrition)

  • We need to advocate for and ensure that the urban differentials inform policy.

  • Statistically this means that we must expand urban coverage and include “slum” strata in the sample design and encourage national statistical offices also to do this.

  • Urgent Need for Spatially-Disaggregated Urban Data


  • Login