Poverty in a Rising Africa : Africa Poverty Report

This report first evaluates Africa's data perspective to monitor poverty. It closely evaluates the availability and quality of the data necessary to track monetary poverty (expenditure, price, gross domestic product) and reflects the governance and political processes that support the current situation . Will you evaluate if poverty statistics in Africa seems to be different if you start with the first chapter and seriously consider data comparability, data quality, and statistical methods? Have you further examined the use of household surveys regularly collected to measure alternatives to monetary poverty? This is two major issues mentioned in Chapter 2 "Evolution of Currency Poverty in SSA".

"Beagle, Kathleen, Christian Sen, Luc, Davalen, Andrew, Gadis, Isis. Poverty in the rise of Africa: poverty report in Africa Washington DC: World Bank © World Bank.https: // openknowledge .worldbank.org / Handle / 10986/22575 License: CC BY 0 IGO. "

The report concluded with a call for strengthening poverty data in Africa. While tracking the availability of non-monetary poverty data, comparability and quality improved, but in 2012, 25 out of 48 countries in sub-Saharan Africa had at least two household surveys over the past 10 years And tracked the currency. Poverty, many of which are the same. It can not be compared over time. On 15th October, the World Bank and its partners have been working on a global household survey every three years in the world's poorest countries, including several African countries, to deal with the large data gap that had hitherto prevented poverty Announced that it will expand its support to carry out.

This report first evaluates Africa's data perspective to monitor poverty. It closely evaluates the availability and quality of the data necessary to track monetary poverty (expenditure, price, gross domestic product) and reflects the governance and political processes that support the current situation . Will you evaluate if poverty statistics in Africa seems to be different if you start with the first chapter and seriously consider data comparability, data quality, and statistical methods? Have you further examined the use of household surveys regularly collected to measure alternatives to monetary poverty? This is two major issues mentioned in Chapter 2 "Evolution of Currency Poverty in SSA".