HUMAN WELFARE Poverty Carlo Azzarri WHaT are THeSe maPS TellInG uS? Almost half of the population of Africa south of the Sahara (SSA) lives in extreme poverty, on less than $1�25 per cap- ita per day�1 Map 1 shows the distribution of the poor and highlights areas where over 80 percent of the population is extremely poor (for example, parts of Liberia, Nigeria, Tanzania, and Zambia)� Map 2 shows the density of extremely poor across the continent, highlighting regions that are home to more than 100 extremely poor people per square kilome- ter� Moderate poverty is defined as living on a daily per cap- ita expenditure between $1�25 and $2�00� Map 3 shows the distribution of poor using the $2�00 per day threshold, thus including both the moderately and extremely poor� This map shows a more even distribution of poor across Africa and consistently higher shares of the total population� Map 4 rein- forces that the most densely populated poor areas are con- centrated along the coast of western Africa, in much of Nigeria, in Malawi, in Ethiopia, and in the countries bordering or near Lake Victoria� Figure 1 shows that extreme poverty is also highly correlated with certain agroecological zones (p� 34)� For example, poverty levels are highest in the warm semiarid and subhumid tropical areas immediately south of the Sahara and in the tropical warm humid forests of the Democratic Republic of the Congo� And, overall, poverty lev- els are lower in the subtropical zones of southern Africa (for example, Namibia and South Africa)� WHY IS THIS ImPOrTanT? Poverty prevalence (Maps 1 and 3) is crucial information for policymakers and international donors who are setting priorities for intervention and investment� Poverty density complements prevalence by showing the number of poor people per square kilometer (Maps 2 and 4)� These maps together answer two important questions: Where is poverty a serious problem? Where might investments have the great- est impact on the highest number of people? Combining insights on both prevalence and density allows policymakers to more effectively target interventions to reach the great- est number of the poorest people� Once target populations are identified, information on the dominant types of exist- ing livelihoods and agriculture-related opportunities can be helpful in formulating appropriate interventions� WHaT aBOuT THe unDerlYInG DaTa? Subnational poverty rates were extracted from 24 nationally representative household surveys conducted in various years� For countries without survey data, national average poverty prevalence extracted from PovcalNet (World Bank 2012) for the closest year to 2005 was uniformly applied to the entire country� As such, subnational poverty rate distributions reflect the relative ranking in the actual survey year, although all val- ues are expressed in terms of 2005 average purchasing power parity exchange rates� Poverty ratios are therefore compara- ble across countries� Not all current data points refer to 2005, with a maximum variance of plus or minus two years for a limited number of countries (HarvestChoice 2012)� WHere Can I learn mOre? Poverty analysis at the World Bank: www�worldbank�org/en/topic/poverty “Poverty Comparisons over Time and Across Countries in Africa�” Sahn and Stifel 2000� “Where Will the World’s Poor Live?: An Update on Global Poverty and the New Bottom Billion�” Sumner 2012� FIGURE 1 Poverty headcount ratio by agroecological zone Warm arid Cool subhumid Cool semiarid Warm semiarid Warm subhumid Cool arid Warm humid Cool humid Warm semiarid Warm subhumid Warm humid Cool subhumid Cool humid Cool semiarid Warm arid Cool arid Tr op ic Su bt ro pi c 0 20 Poverty headcount ratio (%) 40 60 Data source: HarvestChoice 2012 and HarvestChoice 2011. Note: Poverty headcount ratio=the percentage of a population living in house- holds where consumption or income per person is below the poverty line. 1 The $1.25 and $2.00 poverty lines are the level of total household per capita consumption expenditure (a synthetic indicator of household welfare) expressed in terms of 2005 average purchasing power parity exchange rates. 76 http://www.worldbank.org/en/topic/poverty Data source (all maps): HarvestChoice 2012. Note: All values are expressed in terms of average 2005 purchasing power parity rates. HUMAN WELFARE ATLAS OF AFRICAN AGRICULTURE RESEARCH & DEVELOPMENT 1 10 20 30 40 50 60 70 80 90 100 No data Outside focus area Prevalence (percent) 1 10 20 30 40 50 60 70 80 90 100 No data Outside focus area Prevalence (percent) 0 5 10 25 50 100 500 ≤ No data Number of poor/km² Outside focus area 0 5 10 25 50 100 500 ≤ No data Number of poor/km² Outside focus area INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE IFPRI MAP 1 Share of population living at ≤ $1.25/day (extremely poor) MAP 2 Poverty density at ≤ $1.25/day (extremely poor) MAP 3 Share of population living at ≤ $2.00/day (includes moderately and extremely poor) MAP 4 Poverty density at ≤ $2.00/day (includes moderately and extremely poor) 77