 iyntrwych hynny, os ceiwch y mynd wedi rhoi mor cyfnod, y dyfodol yr ydych chi'n gweithio'r eich cyfnod yw'r cyffredin yw'r holl yn yn iawn. Fy flyni, anghofid am gyffrosu, ond bywyd wedi'i gwych ar rhan, eich ei wneud yn oed angen am y cyffrosu data sy'n well gwych i gweithio'r bobl, ac mae'r bwch yn ychydd yw'r holl yw eich cyffredin, mae'n gweithio. Rwy'n gwybod i hanesu i yw'r newid o bobl gwneud hyn sy'n mynd i gwneud hynny i'w ond we can conclude based on what we currently know, based on the projects, on the results of the GAP projects, which will hopefully be coming out next year, will hopefully know quite a lot more. We know the growth story, we know the recovery of growth in Africa since the mid-90s. That chart makes it look small because of the scale, but the growth is quite significant. We know Radley, we know the economists, we know these stories, we know the sort of explanations for African growth. What we know less about, I think, is what's happened to poverty. The purpose of what I'm going to do is focus on the 24 largest countries in sub-Saharan Africa. That's 91% of the population. That's pretty good. 20 out of those 24 countries have had positive per capita growth since 95. Only four, those four countries, have had negative growth experience. I don't think anyone doubts that those are countries which have been poor growth performers, Côte d'Ivoire, the Congo Democratic Republic, Madagascar. I don't think anyone doubts that story. I know there's questions about how reliable the growth measures are, but 20 out of these 24 countries have growth stories. 11 out of them have increased their per capita income by more than 50% over that 15 years. Poverty. On non-monitory, we all know about the demographic and health service, which generally felt to be a good quality source of data. Broadly comparable between countries. Broadly comparable of a time within countries, but there are some issues. There are some changes in questionnaire. There are some issues about sample and so on. But broadly speaking, good data, accessible data. Of the 24 countries, we can say something in 21 countries of the 24 at two points in time. In other words, we can look at changes. There's only three that we can't. Monetary poverty, the situation is somewhat more difficult. Service is different between countries. They often change within countries, so there's questions of comparability between one server and another. And monetary poverty, we really have to worry about prices. Changes in prices. Differences in prices between different parts of the country, different months of the year, changes in prices over time. We've got the world development indicators, which has poverty information. I'll say something about that later. My judgment, we have comparable data on 18 or possibly 19 of the 24 countries. And the gap project, as I said, will give us more.