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indicator_code
stringclasses
1 value
country_iso3
stringclasses
48 values
who_region
stringclasses
4 values
year
int64
1.97k
2.02k
value_numeric
float64
0
39.2k
value_low
null
value_high
null
value_display
stringlengths
1
6
last_updated
stringclasses
1 value
WHS3_41
SGP
WPR
1,980
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
QAT
EMR
2,006
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
THA
SEAR
2,003
9
null
null
9
2025-07-14T16:36:19.017+02:00
WHS3_41
BTN
SEAR
2,015
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
MNG
WPR
2,001
6
null
null
6
2025-07-14T16:36:19.017+02:00
WHS3_41
BRN
WPR
2,000
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
LKA
SEAR
2,007
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
PHL
WPR
2,001
73
null
null
73
2025-07-14T16:36:19.017+02:00
WHS3_41
OMN
EMR
1,990
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
ARE
EMR
2,002
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
NPL
SEAR
1,986
11
null
null
11
2025-07-14T16:36:19.017+02:00
WHS3_41
IRN
EMR
1,985
143
null
null
143
2025-07-14T16:36:19.017+02:00
WHS3_41
ISR
EUR
2,019
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
MMR
SEAR
1,979
764
null
null
764
2025-07-14T16:36:19.017+02:00
WHS3_41
PRK
SEAR
2,012
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
IRQ
EMR
1,988
415
null
null
415
2025-07-14T16:36:19.017+02:00
WHS3_41
PHL
WPR
1,981
819
null
null
819
2025-07-14T16:36:19.017+02:00
WHS3_41
LAO
WPR
1,980
11
null
null
11
2025-07-14T16:36:19.017+02:00
WHS3_41
IRN
EMR
1,993
32
null
null
32
2025-07-14T16:36:19.017+02:00
WHS3_41
LAO
WPR
1,993
4
null
null
4
2025-07-14T16:36:19.017+02:00
WHS3_41
IRN
EMR
2,002
10
null
null
10
2025-07-14T16:36:19.017+02:00
WHS3_41
SGP
WPR
2,009
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
JOR
EMR
2,004
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
SYR
EMR
2,006
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
KWT
EMR
1,998
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
MNG
WPR
1,976
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
KHM
WPR
2,016
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
SAU
EMR
2,016
2
null
null
2
2025-07-14T16:36:19.017+02:00
WHS3_41
QAT
EMR
1,998
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
TKM
EUR
2,012
1
null
null
1
2025-07-14T16:36:19.017+02:00
WHS3_41
SYR
EMR
1,993
16
null
null
16
2025-07-14T16:36:19.017+02:00
WHS3_41
PHL
WPR
1,997
138
null
null
138
2025-07-14T16:36:19.017+02:00
WHS3_41
PAK
EMR
2,012
98
null
null
98
2025-07-14T16:36:19.017+02:00
WHS3_41
LAO
WPR
1,983
64
null
null
64
2025-07-14T16:36:19.017+02:00
WHS3_41
TLS
SEAR
2,007
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
LKA
SEAR
2,008
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
THA
SEAR
1,995
19
null
null
19
2025-07-14T16:36:19.017+02:00
WHS3_41
BRN
WPR
1,990
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
YEM
EMR
1,988
310
null
null
310
2025-07-14T16:36:19.017+02:00
WHS3_41
LAO
WPR
2,016
3
null
null
3
2025-07-14T16:36:19.017+02:00
WHS3_41
BHR
EMR
2,016
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
YEM
EMR
1,991
1
null
null
1
2025-07-14T16:36:19.017+02:00
WHS3_41
KHM
WPR
1,981
1,231
null
null
1231
2025-07-14T16:36:19.017+02:00
WHS3_41
PRK
SEAR
2,003
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
SAU
EMR
2,017
1
null
null
1
2025-07-14T16:36:19.017+02:00
WHS3_41
MDV
SEAR
1,984
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
SAU
EMR
2,009
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
CHN
WPR
2,008
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
LBN
EMR
2,012
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
MYS
WPR
1,998
5
null
null
5
2025-07-14T16:36:19.017+02:00
WHS3_41
PRK
SEAR
1,979
70
null
null
70
2025-07-14T16:36:19.017+02:00
WHS3_41
JPN
WPR
2,001
1
null
null
1
2025-07-14T16:36:19.017+02:00
WHS3_41
TLS
SEAR
2,006
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
IRQ
EMR
1,978
915
null
null
915
2025-07-14T16:36:19.017+02:00
WHS3_41
ARE
EMR
2,008
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
SYR
EMR
1,990
80
null
null
80
2025-07-14T16:36:19.017+02:00
WHS3_41
BRN
WPR
1,988
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
ARE
EMR
1,986
26
null
null
26
2025-07-14T16:36:19.017+02:00
WHS3_41
BGD
SEAR
2,023
9
null
null
9
2025-07-14T16:36:19.017+02:00
WHS3_41
OMN
EMR
1,977
40
null
null
40
2025-07-14T16:36:19.017+02:00
WHS3_41
PHL
WPR
2,022
88
null
null
88
2025-07-14T16:36:19.017+02:00
WHS3_41
CHN
WPR
1,974
25,859
null
null
25 859
2025-07-14T16:36:19.017+02:00
WHS3_41
SGP
WPR
1,997
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
MNG
WPR
1,985
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
TKM
EUR
1,999
49
null
null
49
2025-07-14T16:36:19.017+02:00
WHS3_41
KHM
WPR
2,021
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
BTN
SEAR
2,011
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
IND
SEAR
1,979
31,345
null
null
31 345
2025-07-14T16:36:19.017+02:00
WHS3_41
UZB
EUR
2,023
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
OMN
EMR
2,000
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
KWT
EMR
1,992
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
CYP
EUR
2,021
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
IRN
EMR
1,990
373
null
null
373
2025-07-14T16:36:19.017+02:00
WHS3_41
TJK
EUR
2,016
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
LBN
EMR
1,999
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
PHL
WPR
1,986
1,630
null
null
1630
2025-07-14T16:36:19.017+02:00
WHS3_41
LAO
WPR
2,024
26
null
null
26
2025-07-14T16:36:19.017+02:00
WHS3_41
LAO
WPR
2,005
9
null
null
9
2025-07-14T16:36:19.017+02:00
WHS3_41
CHN
WPR
1,985
1,423
null
null
1423
2025-07-14T16:36:19.017+02:00
WHS3_41
MNG
WPR
1,995
128
null
null
128
2025-07-14T16:36:19.017+02:00
WHS3_41
JPN
WPR
1,981
47
null
null
47
2025-07-14T16:36:19.017+02:00
WHS3_41
CYP
EUR
1,992
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
IRQ
EMR
2,009
13
null
null
13
2025-07-14T16:36:19.017+02:00
WHS3_41
GEO
EUR
2,023
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
ISR
EUR
1,983
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
GEO
EUR
1,997
286
null
null
286
2025-07-14T16:36:19.017+02:00
WHS3_41
BGD
SEAR
2,017
5
null
null
5
2025-07-14T16:36:19.017+02:00
WHS3_41
SGP
WPR
2,017
1
null
null
1
2025-07-14T16:36:19.017+02:00
WHS3_41
KHM
WPR
1,996
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
BTN
SEAR
1,983
4
null
null
4
2025-07-14T16:36:19.017+02:00
WHS3_41
GEO
EUR
2,006
14
null
null
14
2025-07-14T16:36:19.017+02:00
WHS3_41
SGP
WPR
1,995
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
THA
SEAR
1,976
2,345
null
null
2345
2025-07-14T16:36:19.017+02:00
WHS3_41
IND
SEAR
2,021
1,768
null
null
1768
2025-07-14T16:36:19.017+02:00
WHS3_41
MYS
WPR
1,997
1
null
null
1
2025-07-14T16:36:19.017+02:00
WHS3_41
LAO
WPR
1,988
23
null
null
23
2025-07-14T16:36:19.017+02:00
WHS3_41
AZE
EUR
2,016
0
null
null
0
2025-07-14T16:36:19.017+02:00
WHS3_41
MMR
SEAR
2,018
127
null
null
127
2025-07-14T16:36:19.017+02:00
WHS3_41
AFG
EMR
1,977
480
null
null
480
2025-07-14T16:36:19.017+02:00
WHS3_41
THA
SEAR
2,004
13
null
null
13
2025-07-14T16:36:19.017+02:00
End of preview. Expand in Data Studio

Diphtheria - number of reported cases | Asia (WHO GHO)

🌏 2,066 observations Β· 48 Asia countries Β· 1974–2024 Β· Repackaged by Electric Sheep Asia

rows countries years indicators license

TL;DR

This dataset contains 2,066 observations of Diphtheria - number of reported cases data across 48 Asia countries, spanning 1974–2024, covering 1 distinct indicators.

About the source

Geographic coverage

48 Asia countries Β· top rows shown below, sorted by row count:

Country Rows First year Last year
IND 51 1974 2024
IRN 51 1974 2024
LKA 51 1974 2024
MYS 51 1974 2024
PAK 51 1974 2024
VNM 51 1974 2024
BGD 50 1974 2024
CYP 50 1974 2024
MMR 50 1974 2024
JOR 50 1974 2024
THA 50 1974 2024
TUR 50 1974 2023
IDN 50 1974 2024
BHR 49 1974 2024
ISR 49 1974 2022
... 33 more countries

Indicators (sample)

  • WHS3_41

Schema

Column Type Description Example
indicator_code object β€” WHS3_41
country_iso3 object β€” AFG
who_region object β€” EMR
year int64 β€” 1975
value_numeric float64 β€” 22.0
value_low object β€” β€”
value_high object β€” β€”
value_display object β€” 22
last_updated object β€” 2025-07-14T16:36:19.017+02:00

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-diphtheria-number-of-reported-cases")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

indonesia = df[df["country_iso3"] == "IDN"]

Time-series for a single indicator

sample = (df[df["indicator_code"] == "WHS3_41"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="WHS3_41")

Pivot to country Γ— year matrix

matrix = (df[df["indicator_code"] == "WHS3_41"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

@misc{asia_who_diphtheria_number_of_reported_cases_2024,
  title        = {Diphtheria - number of reported cases | Asia (WHO GHO)},
  author       = {World Health Organization},
  year         = {2024},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-who-diphtheria-number-of-reported-cases}}
}

License

Released under cc-by-4.0.

Original data Β© World Health Organization. When using this dataset, please cite both the original source above and the Electric Sheep Asia repackaging.

About Electric Sheep

Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepasia


Provenance: ingested 2026-05-30 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho

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