MDA historical Coverage (.csv) ============================== :download:`Download original .csv file from GitHub ` ==== ============= ======== ====== =============== ============== ================= ======================================================================== .. District Region Year Coverage PSAC Coverage SAC Coverage Adults Reference ==== ============= ======== ====== =============== ============== ================= ======================================================================== 0 Blantyre Southern 2015 0 0.78 0 data 1 Blantyre Southern 2016 0 0.85 0.44 interpolated, mean of 2015 and 2017 2 Blantyre Southern 2017 0 0.92 0.88 data 3 Blantyre Southern 2018 0 0.87 0.88 data 4 Chiradzulu Southern 2015 0 0.73 0.02 data 5 Chiradzulu Southern 2016 0 0.8 0.155 interpolated, mean of 2015 and 2017 6 Chiradzulu Southern 2017 0 0.87 0.29 value over 100% in the data for SAC so instead we use 2018 value 7 Chiradzulu Southern 2018 0 0.87 0.9 data 8 Mulanje Southern 2015 0 0.48 0.96 data 9 Mulanje Southern 2016 0 0.605 0.96 interpolated, mean of 2015 and 2017 10 Mulanje Southern 2017 0 0.73 0.96 values over 100% in the data so instead we used values from 2018 11 Mulanje Southern 2018 0 0.73 0.96 value over 100% in the data for Adults so instead we use value for 2015 12 Nkhotakota Central 2015 0 0.5 0.01 value over 100% in the data for SAC so instead we used 0.5 13 Nkhotakota Central 2016 0 0.675 0.22 interpolated, mean of 2015 and 2017 14 Nkhotakota Central 2017 0 0.85 0.43 value over 100% in the data for SAC so instead we used 2018 value 15 Nkhotakota Central 2018 0 0.85 0.89 data 16 Nsanje Southern 2015 0 0.75 0 data 17 Nsanje Southern 2016 0 0.795 0.41 interpolated, mean of 2015 and 2017 18 Nsanje Southern 2017 0 0.84 0.82 data 19 Nsanje Southern 2018 0 0.9 0.88 data 20 Phalombe Southern 2015 0 0.92 0.04 data 21 Phalombe Southern 2016 0 0.88 0.445 interpolated, mean of 2015 and 2017 22 Phalombe Southern 2017 0 0.84 0.85 data 23 Phalombe Southern 2018 0 0.86 0.92 data 24 Balaka Southern 2015 0 0.43 0 data 25 Balaka Southern 2016 0 0.65 0.44 interpolated, mean of 2015 and 2017 26 Balaka Southern 2017 0 0.87 0.88 data 27 Balaka Southern 2018 0 0.83 0.89 data 28 Blantyre City Southern 2015 0 0.78 0 data 29 Blantyre City Southern 2016 0 0.85 0.44 interpolated, mean of 2015 and 2017 30 Blantyre City Southern 2017 0 0.92 0.88 data 31 Blantyre City Southern 2018 0 0.87 0.88 data 32 Chikwawa Southern 2015 0 0.65 0 data 33 Chikwawa Southern 2016 0 0.765 0.49 interpolated, mean of 2015 and 2017 34 Chikwawa Southern 2017 0 0.88 0.98 data 35 Chikwawa Southern 2018 0 0.74 0.52 data 36 Chitipa Northern 2015 0 0.62 0 data 37 Chitipa Northern 2016 0 0.74 0.345 interpolated, mean of 2015 and 2017 38 Chitipa Northern 2017 0 0.86 0.69 errors in the data so instead we use2018 data 39 Chitipa Northern 2018 0 0.86 0.69 data 40 Dedza Central 2015 0 0.72 0 data 41 Dedza Central 2016 0 0.81 0.445 interpolated, mean of 2015 and 2017 42 Dedza Central 2017 0 0.9 0.89 data 43 Dedza Central 2018 0 0.95 0.95 data 44 Dowa Central 2015 0 0.85 0.02 data 45 Dowa Central 2016 0 0.85 0.435 interpolated, mean of 2015 and 2017 46 Dowa Central 2017 0 0.85 0.85 data 47 Dowa Central 2018 0 0.8 0.77 data 48 Karonga Northern 2015 0 0.97 0 data 49 Karonga Northern 2016 0 0.91 0.435 interpolated, mean of 2015 and 2017 50 Karonga Northern 2017 0 0.85 0.87 data 51 Karonga Northern 2018 0 0.89 0.84 data 52 Kasungu Central 2015 0 0.89 0 data 53 Kasungu Central 2016 0 0.88 0.35 interpolated, mean of 2015 and 2017 54 Kasungu Central 2017 0 0.87 0.7 data 55 Kasungu Central 2018 0 0.82 0.86 data 56 Likoma Northern 2015 0 0.52 0.26 data 57 Likoma Northern 2016 0 0.685 0.615 interpolated, mean of 2015 and 2017 58 Likoma Northern 2017 0 0.85 0.97 no data so we used Lilongwe data for 2017 and 2018 59 Likoma Northern 2018 0 0.83 0.9 no data, random 60 Lilongwe Central 2015 0 0.88 0.04 data 61 Lilongwe Central 2016 0 0.865 0.505 interpolated, mean of 2015 and 2017 62 Lilongwe Central 2017 0 0.85 0.97 data 63 Lilongwe Central 2018 0 0.83 0.9 data 64 Lilongwe City Central 2015 0 0.88 0.04 data 65 Lilongwe City Central 2016 0 0.865 0.505 interpolated, mean of 2015 and 2017 66 Lilongwe City Central 2017 0 0.85 0.97 data 67 Lilongwe City Central 2018 0 0.83 0.9 data 68 Machinga Southern 2015 0 0.45 0 data 69 Machinga Southern 2016 0 0.68 0.46 interpolated, mean of 2015 and 2017 70 Machinga Southern 2017 0 0.91 0.92 data 71 Machinga Southern 2018 0 0.93 0.97 data 72 Mangochi Southern 2015 0 0.82 0.01 data 73 Mangochi Southern 2016 0 0.85 0.49 interpolated, mean of 2015 and 2017 74 Mangochi Southern 2017 0 0.88 0.97 data 75 Mangochi Southern 2018 0 0.73 0.75 data 76 Mchinji Central 2015 0 0.77 0 data 77 Mchinji Central 2016 0 0.815 0.435 interpolated, mean of 2015 and 2017 78 Mchinji Central 2017 0 0.86 0.87 data 79 Mchinji Central 2018 0 0.83 0.82 data 80 Mwanza Southern 2015 0 0.5 0 errors in the data for SAC so instead we used 0.5 81 Mwanza Southern 2016 0 0.675 0.415 interpolated, mean of 2015 and 2017 82 Mwanza Southern 2017 0 0.85 0.83 data 83 Mwanza Southern 2018 0 0.75 0.72 data 84 Mzimba Northern 2015 0 0.41 0.03 data for Mzimba South 85 Mzimba Northern 2016 0 0.7 0.48 interpolated, mean of 2015 and 2017 86 Mzimba Northern 2017 0 0.99 0.93 value over 100% in the data for Adults so instead we used value for 2018 87 Mzimba Northern 2018 0 0.78 0.93 data for Mzimba South 88 Mzuzu City Northern 2015 0 0.83 0 no data, so copied from another Northern with data, Rumphi 89 Mzuzu City Northern 2016 0 0.855 0.435 no data, so copied from another Northern with data, Rumphi 90 Mzuzu City Northern 2017 0 0.88 0.87 no data, so copied from another Northern with data, Rumphi 91 Mzuzu City Northern 2018 0 0.92 0.89 no data, so copied from another Northern with data, Rumphi 92 Neno Southern 2015 0 0.8 0 data 93 Neno Southern 2016 0 0.82 0.395 interpolated, mean of 2015 and 2017 94 Neno Southern 2017 0 0.84 0.79 data 95 Neno Southern 2018 0 0.87 0.87 data 96 Nkhata Bay Northern 2015 0 0.5 0.76 value over 100% in the data for SAC so instead we used 0.5 97 Nkhata Bay Northern 2016 0 0.66 0.765 interpolated, mean of 2015 and 2017 98 Nkhata Bay Northern 2017 0 0.82 0.77 data 99 Nkhata Bay Northern 2018 0 0.81 0.8 data 100 Ntcheu Central 2015 0 0.91 0 data 101 Ntcheu Central 2016 0 0.865 0.415 interpolated, mean of 2015 and 2017 102 Ntcheu Central 2017 0 0.82 0.83 data 103 Ntcheu Central 2018 0 0.84 0.87 data 104 Ntchisi Central 2015 0 0.5 0 value over 100% in the data for SAC so instead we used 0.5 105 Ntchisi Central 2016 0 0.66 0.45 interpolated, mean of 2015 and 2017 106 Ntchisi Central 2017 0 0.82 0.9 data 107 Ntchisi Central 2018 0 0.87 0.83 data 108 Rumphi Northern 2015 0 0.83 0 data 109 Rumphi Northern 2016 0 0.855 0.435 interpolated, mean of 2015 and 2017 110 Rumphi Northern 2017 0 0.88 0.87 data 111 Rumphi Northern 2018 0 0.92 0.89 data 112 Salima Central 2015 0 0.5 0.33 value over 100% in the data for SAC so instead we used 0.5 113 Salima Central 2016 0 0.675 0.6 interpolated, mean of 2015 and 2017 114 Salima Central 2017 0 0.85 0.87 data 115 Salima Central 2018 0 0.85 0.78 value over 100% in the data for SAC so instead we used 2017 value 116 Thyolo Southern 2015 0 0.63 0.04 data 117 Thyolo Southern 2016 0 0.745 0.395 interpolated, mean of 2015 and 2017 118 Thyolo Southern 2017 0 0.86 0.75 data 119 Thyolo Southern 2018 0 0.88 0.85 data 120 Zomba Southern 2015 0 0.71 0 data 121 Zomba Southern 2016 0 0.81 0.39 interpolated, mean of 2015 and 2017 122 Zomba Southern 2017 0 0.91 0.78 data 123 Zomba Southern 2018 0 0.91 0.87 data 124 Zomba City Southern 2015 0 0.71 0 data 125 Zomba City Southern 2016 0 0.81 0.39 interpolated, mean of 2015 and 2017 126 Zomba City Southern 2017 0 0.91 0.78 data 127 Zomba City Southern 2018 0 0.91 0.87 data ==== ============= ======== ====== =============== ============== ================= ========================================================================