From: Age and gender trends in insecticide-treated net use in sub-Saharan Africa: a multi-country analysis
Country | Survey | Year | % of households with enough ITNsa | % of de facto population with ITN access | % of de facto population that used an ITN the previous night | Use:access ratio |
---|---|---|---|---|---|---|
Central Africa | ||||||
 Angola | DHS | 2015–16 | 10.9 | 19.7 | 17.6 | 0.89 |
 Burundi | MIS | 2012 | 23.9 | 46.0 | 48.6 | 1.06 |
 Cameroon | DHS | 2011 | 8.5 | 20.9 | 14.8 | 0.71 |
 Chad | DHS | 2014–15 | 40.8 | 61.2 | 33.3 | 0.54 |
 Congo Brazzaville | DHS | 2011–12 | 10.4 | 22.6 | 26.0 | 1.15 |
 Democratic Republic of Congo | DHS | 2013–14 | 24.3 | 46.5 | 50.2 | 1.08 |
 Gabon | DHS | 2012 | 14.5 | 26.9 | 26.7 | 0.99 |
East Africa | ||||||
 Kenya | MIS | 2015 | 40.1 | 52.5 | 47.6 | 0.91 |
 Madagascar | MIS | 2016 | 43.1 | 62.1 | 68.2 | 1.10 |
 Malawi | DHS | 2015–16 | 22.7 | 38.8 | 33.9 | 0.87 |
 Mozambique | DHS | 2015 | 38.4 | 53.8 | 45.4 | 0.84 |
 Rwanda | DHS | 2014–15 | 42.2 | 63.8 | 61.4 | 0.96 |
 Tanzania | DHS | 2015–16 | 37.2 | 55.9 | 49.0 | 0.88 |
 Uganda | MIS | 2014–15 | 62.0 | 78.8 | 68.6 | 0.87 |
 Zambia | DHS | 2013–14 | 25.0 | 65.0 | 56.9 | 0.88 |
 Zimbabwe | DHS | 2015 | 26.1 | 37.2 | 8.5 | 0.23 |
West Africa | ||||||
 Benin | DHS | 2011–12 | 43.3 | 64.0 | 62.6 | 0.98 |
 Burkina Faso | MIS | 2014 | 47.4 | 71.2 | 67.0 | 0.94 |
 Cote D’Ivoire | DHS | 2011 | 30.7 | 49.0 | 33.2 | 0.68 |
 Gambia | DHS | 2013 | 20.1 | 45.3 | 36.9 | 0.82 |
 Ghana | MIS | 2016 | 50.3 | 65.8 | 41.7 | 0.63 |
 Guinea | DHS | 2012 | 9.3 | 25.3 | 18.9 | 0.75 |
 Liberia | MIS | 2016 | 23.5 | 41.5 | 39.2 | 0.94 |
 Mali | MIS | 2015 | 37.6 | 69.5 | 63.8 | 0.92 |
 Niger | DHS | 2012 | 14.4 | 37.3 | 13.8 | 0.37 |
 Nigeria | MIS | 2015 | 34.4 | 54.7 | 37.3 | 0.68 |
 Senegal | cDHS | 2016 | 56.7 | 75.7 | 63.1 | 0.83 |
 Sierra Leone | MIS | 2016 | 14.6 | 37.1 | 38.6 | 1.04 |
 Togo | DHS | 2013–14 | 32.5 | 48.8 | 33.6 | 0.69 |