 The greatest data gaps in Africa is to have a precise estimate on the number of people moving out of the country, where they go, what they do, and how long they stay, plus their qualifications. The least known fact about human mobility in Africa is the fact that most migration in Africa takes place within Africa, rather than out of Africa. For instance, in West Africa, 80% of mobility takes place within West Africa. In East Africa, about 60% is only North Africa that a small percentage takes place within North Africa. Most people don't know this. The price doesn't know it. Policy makers are not aware of that. But that, in fact, is the reality. Several innovative ways can be exploited. One is to make data comparable between and within subregions. There are six subregions in Africa. So that's the first challenge. The second challenge is to publish information on migration on a timely basis. The third is to use a variety of sources. One source can provide the appropriate estimates. We have to use a multiplicity of sources, sensors when they are available, vitalization systems, administrative records, and specialized surveys. This has to be innovatively exploited, combining all these various sources to provide continuous estimates, data that are analyzed and made user-friendly. Policy-friendly from time to time. They have to be comparable. They have to be innovatively produced on a timely basis, and they have to be made usable. Because most of the data that we have in Africa are just sitting down where they are, and until they are extracted for specific purposes, they just rot away. So we have to ensure that some of those data are innovatively collected. But more importantly, collection is only one part of it. Dissemination is another for advocacy, for specific uses. And above all, we have to compare between and within regions and between source, African source regions and destination regions. So collaborative research, collaborative data gathering, and comparison will enhance the efficacy of data on migration in Africa.