Demand for Population-Based Data in PRS(P)s Richard Leete Chief, Population and Development Branch...

Demand for Population-Based

Data in PRS(P)s

Richard LeeteChief, Population and Development Branch

Improving Statistics for MeasuringDevelopment OutcomesWashington, 4-5 June, 2003

MDGs as Platform for Policy and Programmatic Focus in

PRS(P)s

•MDGs squarely at forefront of global development agenda and unifying tool for the UN System

•MDG targets combined with ICPD RH goal a natural platform and entry point for UN engagement in PRS(P)s

– capture multidimensionality of poverty – support rights-based approach to development

Demand for Population-Based Data in PRS(P)s


Challenges in Operationalising MDGs in

PRS(P)s•Weak statistical systems

–Capacity constraints and–Ad hoc nature of data collection

•Localising targets and broading ownership–Translating global targets into national targets

•Disaggregating and ‘en-gendering’ indicators–Sex; urban/rural and poor/rich, etc–Gender important for each MDG

•Building partnerships for data collection–Broad participation of primary stakeholders and pooling resources


UNFPA Review of 27 PRSPs (i)

•Unrealistic target setting, incl. MMR targets including in all 27 PRSPs

– Slowly changing indicator

– Difficult to detect changes because of infrequency of event

– Lack of appreciation of resources needed (financial/non-financial) to meet targets


UNFPA Review of 27 PRSPs (ii)

• Use of indicators that are not readily measurable or interpreted including in relation to HIV/AIDS eg

–Condom use at last high risk sex based on data collected in DHS type surveys

• Lack of focus on poor in target setting

–Focus almost exclusively on national averages

–Limited use of poverty mapping: population based indicators combined with physical facilities

• Huge poor-rich differentials in population and social outcomes– differentials in access and quality of basic social services

• Resource gaps, financial and human, to supply basic social services

• Lack of political will – an artificial ‘north’ in South, akin to North: affluent urban

elites and institutional resistance towards pro-poor resource allocations

• Need pro-poor social sector budgets and to target interventions towards poor


Equality and Non-Discrimination

0 10 20 30 40 50 60 70

Nicaragua

Yemen

Philippines

India

Bangladesh

Indonesia

Vietnam

Mozambique

Niger

Ghana

Kenya

Richest quintilePoorest quintile

Proportion Currently Married Women Using Modern Contraception

Contraceptive Prevalence Rates

richest and poorest quintiles, 11 Countries mid-1990s to 2000



Good Example of Use of Population Data in PRSPs -

AzerbaijanHousehold Poverty Incidence

(%)Absolute Poverty

Line

Poverty Incidence (%)Relative Poverty Line

Higher education

Secondary

Lower than secondary

42

51

54

12

18

20

Household with no children

Household with 1 child

Household with 2 children

Household with 3 children

Household with 4+ children

38

49

51

55

63

12

15

18

19

25

Head 18-29 years

Head 30-39 years

Head 40-49 years

Head 50-59 years

Head 60+ years

38

46

49

48

53

11

15

15

15

20

Head of household male

Head of household female

49

49

17

17

- 80

- 60

- 40

- 20

0

20

40

60

80

- 50 - 40 - 30 - 20 - 10 0 10 20 30 40 50

More equal access

Less equal access

Improvement access for poorest

x axis: % change in access of poorest 20% to skilled attendantsy axis: % change in ratio of access between richest and poorest 20% to skilled attendants

Deterioration access for poorest

1 outlier

4 outliers


Have Health Outcomes Improved for the Poorest Quintile

and Become More Equitable over the 1990s?Skilled Birth Attendants, DHS in 21 countries

Morocco

Egypt

Improvement for poorest but less equal access

Dominican Rep.Guatemala

Indonesia

Colombia

Brazil NE

Bolivia

Zimbabwe

Zambia

Togo

Senegal

Cameroon

Burkina Faso

Improvement for poorest and more equal access

Kazakhstan

Bangladesh

Peru

Tanzania

Kenya

Deterioration for poorest and less equal access

Uganda

Mali

Deterioration for poorest but more equal access

In absolute terms,average access increased in 13 of 21 countries: in 14 poorest quintile gained .


A Way Forward

• Increasing common ground in aim to eradicate poverty and consensus around MDGs provide new partnership opportunities for jointly addressing statistical capacity challenges

– centralising and mainstreaming data collection within NSOs

– meeting demand for poverty data through pooling of national and donor resources and ensuring continuity of support

Demand for Population-Based Data in PRS(P)s Richard Leete Chief, Population and Development Branch...

Documents

Transcript of Demand for Population-Based Data in PRS(P)s Richard Leete Chief, Population and Development Branch...