By EDOARDO PIZZOLI (ISTAT)

NAMAN KEITA (FAO)

ICAS-V

Fifth International Conference on Agriculture Statistics

Kampala, Uganda - October 12-15, 2010

Agricultural and Rural Households Income Statistics in Countries in Less-Than-Ideal Conditions: an Insight Thinking to African Countries

Outlines

I. Introduction

II. Indicators and Tools to Calculate Rural Households Income Statistics

III. Data Availability in African Countries

IV.Analysis of indicators calculated on available data (WDI database)

V. Study Cases in M&E Sourcebook

VI.Concluding remarks

ICAS-V

Kampala, 12-15 October 2010

I. Introduction

• Agricultural and rural household income indicators:• key indicators, among the economic indicators• to monitor and evaluate the results of

development Policies

• Problems:• Technical difficulties• limited availability of data

• Investigation in African countries: • real data availability• some technical difficulties (less-than-ideal

conditions)

ICAS-V

Kampala, 12-15 October 2010

II. Indicators and Tools

• Core indicators are suggested at international level for M&E in ARD programmes in less-than-ideal conditions (FAO at al.,2008)

• Subset of 19 indicators is considered “priority”

• Extended menu of 86 indicators is a reference list

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Kampala, 12-15 October 2010

III. Data Availability in African Countries

• Data

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Kampala, 12-15 October 2010

IV. Analysis of indicators

• Analysis

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Kampala, 12-15 October 2010

V. Study Cases in M&E Sourcebook

• Study cases

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Concluding remarksICAS-V

Kampala, 12-15 October 2010

• Calculate household income indicators for statistics is a difficult task and international comparability with countries at different levels of development, as it is in Africa, is more complicate. Anyway statistical capability and data availability is growing in most African countries that, with an appropriate use of statistical tools, could regularly produce income indicators. Even if only aggregated data are available, a disaggregation at territorial level (for example regions) combined with partial micro-data at household/population level could be enough to produce concentration indicators on income.

Kampala, 12-15 October 2010

Agricultural and Rural Households Income Statistics

Agricultural and Rural Households Income Statistics in Countries in Less-

Than-Ideal Conditions

An Insight Thinking to African Countries

Edoardo PizzoliNational Accounts

ISTAT - Italian National Institute of Statisticswww.istat.it

Edoardo Pizzoli (ISTAT), Naman Keita (FAO)