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 |
Diphtheria - number of reported cases | Asia (WHO GHO)
π 2,066 observations Β· 48 Asia countries Β· 1974β2024 Β· Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 2,066 observations of Diphtheria - number of reported cases data across 48 Asia countries, spanning 1974β2024, covering 1 distinct indicators.
About the source
- Source: WHO Global Health Observatory
- Publisher: World Health Organization
- License: cc-by-4.0
- Topic: Diphtheria - number of reported cases
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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