Dataset Viewer
Auto-converted to Parquet Duplicate
indicator_code
stringclasses
1 value
country_iso3
stringclasses
47 values
who_region
stringclasses
1 value
year
int64
2k
2.02k
dim1_type
stringclasses
1 value
dim1
stringclasses
1 value
dim2_type
stringclasses
1 value
dim2
stringclasses
2 values
value_numeric
float64
0
254
value_low
null
value_high
null
value_display
stringlengths
1
5
last_updated
stringclasses
1 value
MDG_0000000003
ETH
AFR
2,014
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
0.626911
null
null
0.6
2025-05-06T16:35:10.26+02:00
MDG_0000000003
MOZ
AFR
2,006
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
8.756031
null
null
8.8
2025-05-06T16:35:10.26+02:00
MDG_0000000003
MUS
AFR
2,010
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
0.485558
null
null
0.5
2025-05-06T16:35:10.26+02:00
MDG_0000000003
MWI
AFR
2,008
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
7.512672
null
null
7.5
2025-05-06T16:35:10.26+02:00
MDG_0000000003
CIV
AFR
2,007
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
120.303864
null
null
120.3
2025-05-06T16:35:10.26+02:00
MDG_0000000003
SEN
AFR
2,015
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
72.038773
null
null
72.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
TZA
AFR
2,004
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
130.59903
null
null
130.6
2025-05-06T16:35:10.26+02:00
MDG_0000000003
SEN
AFR
2,014
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
72.480591
null
null
72.5
2025-05-06T16:35:10.26+02:00
MDG_0000000003
ETH
AFR
2,002
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
3.142167
null
null
3.1
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GIN
AFR
2,008
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
153.980103
null
null
154.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
ZMB
AFR
2,005
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
6.3019
null
null
6.3
2025-05-06T16:35:10.26+02:00
MDG_0000000003
NGA
AFR
2,003
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
21.917072
null
null
21.9
2025-05-06T16:35:10.26+02:00
MDG_0000000003
BFA
AFR
2,014
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
123.755913
null
null
123.8
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GNB
AFR
2,017
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
84.462334
null
null
84.5
2025-05-06T16:35:10.26+02:00
MDG_0000000003
STP
AFR
2,013
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
1.436715
null
null
1.4
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GIN
AFR
2,009
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
17.958332
null
null
18.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
CIV
AFR
2,006
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
120.72506
null
null
120.7
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GHA
AFR
2,018
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
78.017853
null
null
78.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GIN
AFR
2,012
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
147.076935
null
null
147.1
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GHA
AFR
2,002
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
73.66642
null
null
73.7
2025-05-06T16:35:10.26+02:00
MDG_0000000003
LSO
AFR
2,007
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
0.45537
null
null
0.5
2025-05-06T16:35:10.26+02:00
MDG_0000000003
NGA
AFR
2,015
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
5.474481
null
null
5.5
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GAB
AFR
2,008
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
8.452437
null
null
8.5
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GHA
AFR
2,007
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
80.308334
null
null
80.3
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GIN
AFR
2,010
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
15.446062
null
null
15.4
2025-05-06T16:35:10.26+02:00
MDG_0000000003
CPV
AFR
2,011
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
1.195465
null
null
1.2
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GIN
AFR
2,014
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
12.513864
null
null
12.5
2025-05-06T16:35:10.26+02:00
MDG_0000000003
MWI
AFR
2,003
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
8.680347
null
null
8.7
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GIN
AFR
2,006
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
141.487198
null
null
141.5
2025-05-06T16:35:10.26+02:00
MDG_0000000003
SYC
AFR
2,009
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
66.867638
null
null
66.9
2025-05-06T16:35:10.26+02:00
MDG_0000000003
SEN
AFR
2,017
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
70.449608
null
null
70.4
2025-05-06T16:35:10.26+02:00
MDG_0000000003
LSO
AFR
2,011
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
1.13484
null
null
1.1
2025-05-06T16:35:10.26+02:00
MDG_0000000003
LSO
AFR
2,004
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
83.984863
null
null
84.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
SEN
AFR
2,010
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
90.76709
null
null
90.8
2025-05-06T16:35:10.26+02:00
MDG_0000000003
CIV
AFR
2,020
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
95.988129
null
null
96.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
SSD
AFR
2,002
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
176.911179
null
null
176.9
2025-05-06T16:35:10.26+02:00
MDG_0000000003
MOZ
AFR
2,002
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
178.654739
null
null
178.7
2025-05-06T16:35:10.26+02:00
MDG_0000000003
SLE
AFR
2,014
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
137.628174
null
null
137.6
2025-05-06T16:35:10.26+02:00
MDG_0000000003
CPV
AFR
2,018
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
65.471298
null
null
65.5
2025-05-06T16:35:10.26+02:00
MDG_0000000003
SWZ
AFR
2,012
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
1.635521
null
null
1.6
2025-05-06T16:35:10.26+02:00
MDG_0000000003
NGA
AFR
2,019
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
2.750451
null
null
2.8
2025-05-06T16:35:10.26+02:00
MDG_0000000003
BFA
AFR
2,008
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
1.217246
null
null
1.2
2025-05-06T16:35:10.26+02:00
MDG_0000000003
SLE
AFR
2,014
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
11.202815
null
null
11.2
2025-05-06T16:35:10.26+02:00
MDG_0000000003
RWA
AFR
2,011
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
0.11372
null
null
0.1
2025-05-06T16:35:10.26+02:00
MDG_0000000003
MUS
AFR
2,022
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
0.744515
null
null
0.7
2025-05-06T16:35:10.26+02:00
MDG_0000000003
ZMB
AFR
2,016
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
135.900864
null
null
135.9
2025-05-06T16:35:10.26+02:00
MDG_0000000003
ZMB
AFR
2,006
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
5.071466
null
null
5.1
2025-05-06T16:35:10.26+02:00
MDG_0000000003
MLI
AFR
2,003
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
24.762999
null
null
24.8
2025-05-06T16:35:10.26+02:00
MDG_0000000003
CPV
AFR
2,015
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
1.148337
null
null
1.1
2025-05-06T16:35:10.26+02:00
MDG_0000000003
CPV
AFR
2,012
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
68.682381
null
null
68.7
2025-05-06T16:35:10.26+02:00
MDG_0000000003
ZAF
AFR
2,012
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
1.035862
null
null
1.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GAB
AFR
2,016
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
97.891167
null
null
97.9
2025-05-06T16:35:10.26+02:00
MDG_0000000003
COM
AFR
2,008
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
74.699455
null
null
74.7
2025-05-06T16:35:10.26+02:00
MDG_0000000003
BEN
AFR
2,010
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
94
null
null
94.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
ZAF
AFR
2,006
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
88.149345
null
null
88.1
2025-05-06T16:35:10.26+02:00
MDG_0000000003
ETH
AFR
2,009
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
94.553391
null
null
94.6
2025-05-06T16:35:10.26+02:00
MDG_0000000003
TGO
AFR
2,016
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
78.966515
null
null
79.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
MUS
AFR
2,011
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
0.512681
null
null
0.5
2025-05-06T16:35:10.26+02:00
MDG_0000000003
NAM
AFR
2,011
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
2.264406
null
null
2.3
2025-05-06T16:35:10.26+02:00
MDG_0000000003
SEN
AFR
2,005
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
4.640753
null
null
4.6
2025-05-06T16:35:10.26+02:00
MDG_0000000003
KEN
AFR
2,018
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
1.343889
null
null
1.3
2025-05-06T16:35:10.26+02:00
MDG_0000000003
RWA
AFR
2,015
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
0.292385
null
null
0.3
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GHA
AFR
2,003
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
73.254555
null
null
73.3
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GAB
AFR
2,007
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
7.520197
null
null
7.5
2025-05-06T16:35:10.26+02:00
MDG_0000000003
NGA
AFR
2,005
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
11.114876
null
null
11.1
2025-05-06T16:35:10.26+02:00
MDG_0000000003
UGA
AFR
2,013
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
0.589224
null
null
0.6
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GIN
AFR
2,009
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
152.208221
null
null
152.2
2025-05-06T16:35:10.26+02:00
MDG_0000000003
SYC
AFR
2,014
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
2
null
null
2.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
NAM
AFR
2,016
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
63.914902
null
null
63.9
2025-05-06T16:35:10.26+02:00
MDG_0000000003
ZWE
AFR
2,016
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
1.165601
null
null
1.2
2025-05-06T16:35:10.26+02:00
MDG_0000000003
BFA
AFR
2,004
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
126.708847
null
null
126.7
2025-05-06T16:35:10.26+02:00
MDG_0000000003
CAF
AFR
2,003
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
133.344849
null
null
133.3
2025-05-06T16:35:10.26+02:00
MDG_0000000003
MRT
AFR
2,007
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
125.997749
null
null
126.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GIN
AFR
2,006
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
19.107601
null
null
19.1
2025-05-06T16:35:10.26+02:00
MDG_0000000003
CIV
AFR
2,015
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
4.951
null
null
5.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
RWA
AFR
2,005
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
0.442784
null
null
0.4
2025-05-06T16:35:10.26+02:00
MDG_0000000003
COM
AFR
2,002
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
7.660958
null
null
7.7
2025-05-06T16:35:10.26+02:00
MDG_0000000003
LSO
AFR
2,017
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
90.7705
null
null
90.8
2025-05-06T16:35:10.26+02:00
MDG_0000000003
MWI
AFR
2,011
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
1.888143
null
null
1.9
2025-05-06T16:35:10.26+02:00
MDG_0000000003
STP
AFR
2,007
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
133.59372
null
null
133.6
2025-05-06T16:35:10.26+02:00
MDG_0000000003
MDG
AFR
2,011
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
16.74299
null
null
16.7
2025-05-06T16:35:10.26+02:00
MDG_0000000003
ERI
AFR
2,008
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
75.973183
null
null
76.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
CAF
AFR
2,012
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
182.641769
null
null
182.6
2025-05-06T16:35:10.26+02:00
MDG_0000000003
CPV
AFR
2,016
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
0.894745
null
null
0.9
2025-05-06T16:35:10.26+02:00
MDG_0000000003
SYC
AFR
2,001
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
1
null
null
1.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
ZWE
AFR
2,012
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
0.559319
null
null
0.6
2025-05-06T16:35:10.26+02:00
MDG_0000000003
CAF
AFR
2,017
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
11.522906
null
null
11.5
2025-05-06T16:35:10.26+02:00
MDG_0000000003
MDG
AFR
2,006
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
9.456204
null
null
9.5
2025-05-06T16:35:10.26+02:00
MDG_0000000003
NAM
AFR
2,020
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
40.798016
null
null
40.8
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GMB
AFR
2,018
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
64.784584
null
null
64.8
2025-05-06T16:35:10.26+02:00
MDG_0000000003
CAF
AFR
2,015
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
19.020761
null
null
19.0
2025-05-06T16:35:10.26+02:00
MDG_0000000003
ZWE
AFR
2,014
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
1.119834
null
null
1.1
2025-05-06T16:35:10.26+02:00
MDG_0000000003
ZMB
AFR
2,003
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
6.088158
null
null
6.1
2025-05-06T16:35:10.26+02:00
MDG_0000000003
COD
AFR
2,006
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
9.384544
null
null
9.4
2025-05-06T16:35:10.26+02:00
MDG_0000000003
LBR
AFR
2,005
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
10.288589
null
null
10.3
2025-05-06T16:35:10.26+02:00
MDG_0000000003
CPV
AFR
2,007
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
1.595307
null
null
1.6
2025-05-06T16:35:10.26+02:00
MDG_0000000003
DZA
AFR
2,018
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
9.1
null
null
9.1
2025-05-06T16:35:10.26+02:00
MDG_0000000003
TCD
AFR
2,010
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
17.588417
null
null
17.6
2025-05-06T16:35:10.26+02:00
MDG_0000000003
GNB
AFR
2,012
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS15-19
106.389481
null
null
106.4
2025-05-06T16:35:10.26+02:00
MDG_0000000003
NAM
AFR
2,009
SEX
SEX_FMLE
AGEGROUP
AGEGROUP_YEARS10-14
1.54498
null
null
1.5
2025-05-06T16:35:10.26+02:00
End of preview. Expand in Data Studio

Africa — WHO GHO: Adolescent birth rate (per 1000 women)

Indicator code: MDG_0000000003 HuggingFace slug: electricsheepafrica/africa-who-adolescent-birth-rate 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 birth rate (per 1000 women)" (MDG_0000000003) across African nations, spanning 2000–2023. 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 2000 – 2023
Total rows 1,279
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_FMLE

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., MDG_0000000003)
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-birth-rate")
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_mdg_0000000003,
  title     = {WHO Global Health Observatory: Adolescent birth rate (per 1000 women)},
  author    = {World Health Organization},
  year      = {2023},
  url       = {https://www.who.int/data/gho/data/indicators/indicator-details/GHO/MDG_0000000003},
  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.

Downloads last month
20