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|---|---|---|---|---|---|---|---|---|---|---|---|---|
MORTADO | COG | AFR | 2,015 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-19 | 9.196871 | 5.09702 | 14.610093 | 9.2 [5.1-14.6] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | STP | AFR | 2,023 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-14 | 2.041929 | 1.56614 | 2.645231 | 2.0 [1.6-2.6] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | ZAF | AFR | 2,006 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS15-19 | 10.017684 | 9.378091 | 10.6376 | 10.0 [9.4-10.6] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | SYC | AFR | 2,016 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-14 | 1.616832 | 0.516136 | 3.075571 | 1.6 [0.5-3.1] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | UGA | AFR | 2,002 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 7.414843 | 4.289064 | 10.688495 | 7.4 [4.3-10.7] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | GNB | AFR | 2,020 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS15-19 | 12.326861 | 8.594068 | 16.979832 | 12.3 [8.6-17.0] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | UGA | AFR | 2,002 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-14 | 7.540145 | 4.368575 | 10.79421 | 7.5 [4.4-10.8] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | KEN | AFR | 2,020 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-19 | 8.379597 | 5.352892 | 12.29786 | 8.4 [5.4-12.3] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | GNB | AFR | 2,010 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS15-19 | 14.012053 | 10.051464 | 19.229268 | 14.0 [10.1-19.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | BFA | AFR | 2,008 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-19 | 15.675163 | 11.098388 | 20.905944 | 15.7 [11.1-20.9] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | COG | AFR | 1,992 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS15-19 | 23.200588 | 13.934565 | 35.215548 | 23.2 [13.9-35.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | GIN | AFR | 1,992 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS15-19 | 16.271406 | 12.564616 | 20.783047 | 16.3 [12.6-20.8] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | BDI | AFR | 2,003 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS15-19 | 19.373287 | 15.481009 | 24.228987 | 19.4 [15.5-24.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | GHA | AFR | 2,017 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-19 | 12.659928 | 8.753854 | 17.423248 | 12.7 [8.8-17.4] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | MRT | AFR | 1,993 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-19 | 11.079931 | 7.32867 | 15.208649 | 11.1 [7.3-15.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | ETH | AFR | 2,004 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-19 | 27.207656 | 21.673573 | 33.380823 | 27.2 [21.7-33.4] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | GAB | AFR | 1,994 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-19 | 16.826345 | 10.73339 | 24.180954 | 16.8 [10.7-24.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | DZA | AFR | 2,016 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 1.592995 | 1.509932 | 1.679094 | 1.6 [1.5-1.7] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | COD | AFR | 2,017 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-19 | 27.225367 | 18.139994 | 38.718023 | 27.2 [18.1-38.7] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | NGA | AFR | 1,998 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-19 | 23.673994 | 18.295039 | 29.501968 | 23.7 [18.3-29.5] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | MLI | AFR | 2,009 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS15-19 | 9.958059 | 7.940506 | 12.431595 | 10.0 [7.9-12.4] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | BDI | AFR | 2,001 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 21.450971 | 10.205228 | 34.666134 | 21.5 [10.2-34.7] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | LSO | AFR | 1,999 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-19 | 20.338483 | 16.941913 | 24.1378 | 20.3 [16.9-24.1] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | CAF | AFR | 1,998 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-14 | 11.066556 | 4.001407 | 18.39101 | 11.1 [4.0-18.4] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | DZA | AFR | 2,009 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS15-19 | 3.451148 | 3.355053 | 3.547718 | 3.5 [3.4-3.5] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | KEN | AFR | 2,010 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS15-19 | 6.887141 | 5.139521 | 9.034914 | 6.9 [5.1-9.0] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | CPV | AFR | 2,007 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS15-19 | 4.119044 | 3.675069 | 4.574487 | 4.1 [3.7-4.6] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | LSO | AFR | 1,995 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS15-19 | 13.96935 | 10.700036 | 18.177869 | 14.0 [10.7-18.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | ZAF | AFR | 2,012 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-19 | 12.389523 | 11.6129 | 13.219329 | 12.4 [11.6-13.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | NAM | AFR | 2,023 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-19 | 11.079872 | 7.572294 | 17.947441 | 11.1 [7.6-17.9] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | NER | AFR | 1,996 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-19 | 33.598959 | 24.586952 | 43.784502 | 33.6 [24.6-43.8] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | GIN | AFR | 2,011 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-14 | 7.712219 | 3.48153 | 12.213902 | 7.7 [3.5-12.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | CPV | AFR | 2,014 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 1.040441 | 0.798697 | 1.312131 | 1.0 [0.8-1.3] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | BFA | AFR | 1,993 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-19 | 27.031697 | 20.56864 | 34.232424 | 27.0 [20.6-34.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | TGO | AFR | 1,998 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-14 | 7.648252 | 2.475037 | 14.49672 | 7.6 [2.5-14.5] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | MWI | AFR | 2,003 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-14 | 7.670461 | 5.096666 | 10.249494 | 7.7 [5.1-10.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | COG | AFR | 2,002 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 5.328794 | 1.784922 | 9.328508 | 5.3 [1.8-9.3] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | STP | AFR | 2,018 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS15-19 | 6.332962 | 3.266889 | 10.605056 | 6.3 [3.3-10.6] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | SYC | AFR | 2,020 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-19 | 3.054946 | 1.919765 | 4.69581 | 3.1 [1.9-4.7] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | CPV | AFR | 2,018 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS15-19 | 1.641903 | 1.17085 | 2.229236 | 1.6 [1.2-2.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | NER | AFR | 1,997 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS15-19 | 17.574893 | 13.957032 | 21.895118 | 17.6 [14.0-21.9] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | SYC | AFR | 1,990 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 1.24214 | 0.483553 | 2.188794 | 1.2 [0.5-2.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | GNB | AFR | 2,015 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-14 | 6.712523 | 1.718233 | 13.433647 | 6.7 [1.7-13.4] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | GIN | AFR | 2,016 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS15-19 | 14.698987 | 9.946134 | 21.020914 | 14.7 [9.9-21.0] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | ZWE | AFR | 2,000 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS15-19 | 10.846989 | 9.225001 | 12.489794 | 10.8 [9.2-12.5] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | MWI | AFR | 1,994 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-14 | 10.039625 | 6.297368 | 14.157589 | 10.0 [6.3-14.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | CAF | AFR | 2,007 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS15-19 | 15.540148 | 9.303656 | 24.8631 | 15.5 [9.3-24.9] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | GMB | AFR | 2,001 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS15-19 | 13.312969 | 9.790018 | 17.933078 | 13.3 [9.8-17.9] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | MOZ | AFR | 2,000 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS15-19 | 18.377722 | 14.787731 | 22.808106 | 18.4 [14.8-22.8] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | BWA | AFR | 2,011 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS15-19 | 7.466447 | 5.835007 | 9.428179 | 7.5 [5.8-9.4] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | SYC | AFR | 2,000 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 1.151343 | 0.647433 | 1.694303 | 1.2 [0.6-1.7] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | NGA | AFR | 1,994 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-14 | 11.900632 | 6.442151 | 17.875642 | 11.9 [6.4-17.9] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | BEN | AFR | 2,013 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-14 | 7.731281 | 4.110321 | 11.664159 | 7.7 [4.1-11.7] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | KEN | AFR | 1,996 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-14 | 5.796267 | 2.737305 | 9.587683 | 5.8 [2.7-9.6] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | STP | AFR | 2,021 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS15-19 | 8.130192 | 3.720241 | 14.275049 | 8.1 [3.7-14.3] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | NAM | AFR | 2,016 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS15-19 | 8.396122 | 6.830209 | 10.252843 | 8.4 [6.8-10.3] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | ZMB | AFR | 2,023 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-19 | 7.76848 | 4.625723 | 13.268139 | 7.8 [4.6-13.3] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | SLE | AFR | 1,996 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS15-19 | 26.0578 | 18.030753 | 36.380707 | 26.1 [18.0-36.4] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | TZA | AFR | 1,999 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-14 | 6.156052 | 2.951153 | 9.646348 | 6.2 [3.0-9.6] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | NER | AFR | 2,015 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-14 | 13.854107 | 6.042708 | 22.237772 | 13.9 [6.0-22.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | BDI | AFR | 2,001 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-19 | 45.091287 | 32.951857 | 59.462771 | 45.1 [33.0-59.5] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | BWA | AFR | 1,996 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-19 | 18.147682 | 12.536597 | 24.244817 | 18.1 [12.5-24.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | TGO | AFR | 2,022 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-19 | 13.592106 | 7.970216 | 21.178875 | 13.6 [8.0-21.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | ZAF | AFR | 2,004 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 4.66294 | 3.698569 | 5.734135 | 4.7 [3.7-5.7] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | KEN | AFR | 1,998 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-14 | 5.776484 | 2.705123 | 9.366434 | 5.8 [2.7-9.4] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | LSO | AFR | 2,005 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 5.396842 | 3.455032 | 7.498634 | 5.4 [3.5-7.5] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | BFA | AFR | 2,009 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS15-19 | 9.163439 | 7.780185 | 10.692448 | 9.2 [7.8-10.7] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | STP | AFR | 2,000 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-19 | 14.062074 | 10.825718 | 18.770828 | 14.1 [10.8-18.8] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | AGO | AFR | 1,998 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-19 | 44.104604 | 34.389528 | 56.187184 | 44.1 [34.4-56.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | MDG | AFR | 2,017 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 5.435841 | 2.218548 | 9.380423 | 5.4 [2.2-9.4] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | DZA | AFR | 2,002 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-14 | 2.553662 | 2.428553 | 2.683762 | 2.6 [2.4-2.7] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | SLE | AFR | 1,997 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 12.42416 | 3.029439 | 27.36683 | 12.4 [3.0-27.4] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | GNQ | AFR | 1,998 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 11.31006 | 8.643104 | 14.810685 | 11.3 [8.6-14.8] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | RWA | AFR | 2,005 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 11.853954 | 7.100865 | 17.374786 | 11.9 [7.1-17.4] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | AGO | AFR | 2,022 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 5.759749 | 4.330913 | 7.57102 | 5.8 [4.3-7.6] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | MWI | AFR | 2,006 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-14 | 7.334505 | 4.897764 | 9.836107 | 7.3 [4.9-9.8] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | KEN | AFR | 2,010 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-19 | 14.084661 | 10.975303 | 17.712147 | 14.1 [11.0-17.7] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | TCD | AFR | 1,994 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-19 | 31.95726 | 23.174283 | 41.772135 | 32.0 [23.2-41.8] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | GIN | AFR | 1,998 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 10.834534 | 5.738712 | 16.225236 | 10.8 [5.7-16.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | CIV | AFR | 2,018 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-19 | 15.610004 | 10.707201 | 21.346096 | 15.6 [10.7-21.3] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | SLE | AFR | 2,003 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-14 | 10.453629 | 4.879752 | 16.457626 | 10.5 [4.9-16.5] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | CAF | AFR | 2,020 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-19 | 33.024477 | 16.008362 | 57.917463 | 33.0 [16.0-57.9] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | ZMB | AFR | 1,994 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-14 | 8.509614 | 4.093666 | 13.218383 | 8.5 [4.1-13.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | STP | AFR | 1,993 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-19 | 19.814599 | 12.348501 | 29.703132 | 19.8 [12.3-29.7] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | LSO | AFR | 2,009 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-19 | 16.970225 | 13.943275 | 20.45072 | 17.0 [13.9-20.5] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | DZA | AFR | 2,014 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-14 | 2.119614 | 2.014539 | 2.229717 | 2.1 [2.0-2.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | BDI | AFR | 1,991 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 22.209546 | 8.942003 | 38.43635 | 22.2 [8.9-38.4] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | SLE | AFR | 1,999 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS15-19 | 33.7404 | 24.825685 | 44.700472 | 33.7 [24.8-44.7] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | CPV | AFR | 2,002 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS15-19 | 2.522988 | 2.147595 | 2.919504 | 2.5 [2.1-2.9] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | TZA | AFR | 2,009 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS15-19 | 7.427275 | 6.119175 | 8.886938 | 7.4 [6.1-8.9] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | ZWE | AFR | 2,018 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-19 | 19.029734 | 13.559192 | 25.520039 | 19.0 [13.6-25.5] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | CAF | AFR | 2,022 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-19 | 269.511418 | 134.036064 | 486.596968 | 269.5 [134.0-486.6] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | GAB | AFR | 1,999 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-14 | 8.087993 | 3.230465 | 13.261641 | 8.1 [3.2-13.3] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | RWA | AFR | 1,993 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS15-19 | 41.882067 | 33.321488 | 52.081826 | 41.9 [33.3-52.1] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | AGO | AFR | 2,006 | SEX | SEX_BTSX | AGEGROUP | AGEGROUP_YEARS10-14 | 11.878987 | 9.217337 | 15.225733 | 11.9 [9.2-15.2] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | NER | AFR | 2,021 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS15-19 | 11.041379 | 5.650114 | 18.290511 | 11.0 [5.7-18.3] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | NAM | AFR | 1,993 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_YEARS10-14 | 4.960465 | 1.750879 | 8.302904 | 5.0 [1.8-8.3] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | SLE | AFR | 2,011 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-14 | 9.14119 | 4.870046 | 13.719722 | 9.1 [4.9-13.7] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | LSO | AFR | 2,002 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS10-14 | 6.367376 | 4.057659 | 8.870921 | 6.4 [4.1-8.9] | 2025-04-14T17:51:01.93+02:00 |
MORTADO | GNQ | AFR | 2,007 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_YEARS15-19 | 14.607516 | 10.558244 | 19.615391 | 14.6 [10.6-19.6] | 2025-04-14T17:51:01.93+02:00 |
Africa — WHO GHO: Adolescent mortality rate (per 1 000 age specific cohort)
Indicator code: MORTADO
HuggingFace slug: electricsheepafrica/africa-who-adolescent-mortality-rate-mortado
Source: WHO Global Health Observatory
License: CC BY 4.0 — WHO Open Data
Dataset Description
This dataset contains country-level observations for the WHO GHO indicator "Adolescent mortality rate (per 1 000 age specific cohort)" (MORTADO) across African nations, spanning 1990–2023. It is part of the Electric Sheep Africa collection — a unified, ML-ready repository of African data.
Data is sourced directly from the WHO Global Health Observatory OData API and repackaged as Parquet files with a consistent schema. All values are drawn from NumericValue (the float-precision field), not the display string. Confidence interval bounds (value_low, value_high) are included where available.
Coverage
| Countries | 47 African nations |
| Years | 1990 – 2023 |
| Total rows | 14,382 |
| Region filter | WHO AFRO (ParentLocationCode = 'AFR') |
Countries included: AGO, BDI, BEN, BFA, BWA, CAF, CIV, CMR, COD, COG, COM, CPV, DZA, ERI, ETH, GAB, GHA, GIN, GMB, GNB … and 27 more
Sub-dimensions
- SEX: SEX_BTSX, SEX_FMLE, SEX_MLE
When an indicator is stratified (e.g., by sex or age group), each unique combination of country × year × dimension produces a separate row. Filter on dim1 / dim2 for the stratum you need, or aggregate across strata.
Schema
| Column | Type | Description |
|---|---|---|
indicator_code |
string | GHO indicator code (e.g., MORTADO) |
country_iso3 |
string | ISO 3166-1 alpha-3 country code |
who_region |
string | WHO region code (always AFR here) |
year |
int | Observation year |
value_numeric |
float | Point estimate (primary ML target) |
value_low |
float | Lower confidence bound (if available) |
value_high |
float | Upper confidence bound (if available) |
value_display |
string | Formatted display string, e.g. "58.3 [57.7–59.0]" |
dim1_type |
string | Dimension 1 type, e.g. SEX, RESIDENCEAREATYPE |
dim1 |
string | Dimension 1 value, e.g. SEX_BTSX, RURAL |
dim2_type |
string | Dimension 2 type (if present) |
dim2 |
string | Dimension 2 value (if present) |
last_updated |
string | WHO data last-updated timestamp |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-who-adolescent-mortality-rate-mortado")
df = ds["train"].to_pandas()
# Both-sexes, national level only
national = df[df.get("dim1", "").str.endswith("_BTSX") | df.get("dim1", pd.Series()).isna()]
# Time series for one country
kenya = df[df["country_iso3"] == "KEN"].sort_values("year")
Citation
@misc{who_gho_mortado,
title = {WHO Global Health Observatory: Adolescent mortality rate (per 1 000 age specific cohort)},
author = {World Health Organization},
year = {2023},
url = {https://www.who.int/data/gho/data/indicators/indicator-details/GHO/MORTADO},
note = {Repackaged by Electric Sheep Africa}
}
Repackaged by Electric Sheep Africa from WHO GHO open data. Original data © World Health Organization, licensed CC BY 4.0.
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