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indicator_code
stringclasses
1 value
country_iso3
stringclasses
47 values
who_region
stringclasses
1 value
year
int64
1.99k
2.02k
dim1_type
stringclasses
1 value
dim1
stringclasses
3 values
dim2_type
stringclasses
1 value
dim2
stringclasses
3 values
value_numeric
float64
0.8
674
value_low
float64
0
575
value_high
float64
1.12
792
value_display
stringlengths
13
19
last_updated
stringclasses
1 value
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
End of preview. Expand in Data Studio

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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