By EDOARDO PIZZOLI (ISTAT) NAMAN KEITA (FAO) ICAS-V Fifth International Conference on Agriculture Statistics Kampala, Uganda - October 12-15, 2010 Agricultural.

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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, 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, 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 ICAS-V Kampala, October 2010

III. Data Availability in African Countries Data ICAS-V Kampala, October 2010

IV. Analysis of indicators Analysis ICAS-V Kampala, October 2010

V. Study Cases in M&E Sourcebook Study cases ICAS-V Kampala, October 2010

Concluding remarks ICAS-V Kampala, 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, 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 Pizzoli National Accounts ISTAT - Italian National Institute of Statistics Edoardo Pizzoli (ISTAT), Naman Keita (FAO)