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electricsheepeurope/europe-who-tobacco-mpower-overview-monitor

Tobacco MPOWER overview: Monitor, Protect people, Offer help, Warn of dangers, Enforce bans, Raise taxes | Europe (WHO GHO) ๐Ÿ‡ช๐Ÿ‡บ 2,856 observations ยท 42 Europe countries ยท 2007โ€“2024 ยท Repackaged by Electric Sheep Europe TL;DR This dataset contains 2,856 observations of Tobacco MPOWER overview: Monitor, Protect people, Offer help, Warn of dangers, Enforce bans, Raise taxes data across 42 Europe countries, spanning 2007โ€“2024, covering 1 distinct indicators.โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-tobacco-mpower-overview-monitor.

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Dataset Card

Tobacco MPOWER overview: Monitor, Protect people, Offer help, Warn of dangers, Enforce bans, Raise taxes | Europe (WHO GHO)

๐Ÿ‡ช๐Ÿ‡บ 2,856 observations ยท 42 Europe countries ยท 2007โ€“2024 ยท Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 2,856 observations of Tobacco MPOWER overview: Monitor, Protect people, Offer help, Warn of dangers, Enforce bans, Raise taxes data across 42 Europe countries, spanning 2007โ€“2024, covering 1 distinct indicators.

About the source

  • โ€”Source: WHO Global Health Observatory
  • โ€”Publisher: World Health Organization
  • โ€”License: cc-by-4.0
  • โ€”Topic: Tobacco MPOWER overview: Monitor, Protect people, Offer help, Warn of dangers, Enforce bans, Raise taxes

Geographic coverage

42 Europe countries ยท top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ALB6820072024
AND6820072024
AUT6820072024
BEL6820072024
BGR6820072024
BIH6820072024
BLR6820072024
CHE6820072024
CZE6820072024
DEU6820072024
DNK6820072024
ESP6820072024
EST6820072024
FIN6820072024
FRA6820072024
...27 more countries

Indicators (sample)

  • โ€”TOBACCO_MPOWER_OVERVIEW

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”TOBACCO_MPOWER_OVERVIEW
country_iso3objectโ€”ALB
who_regionobjectโ€”EUR
yearint64โ€”2007
dim1_typeobjectโ€”TOBACCO_INDICATOR
dim1objectโ€”TOBACCO_INDICATOR_E_Group
value_numericfloat64โ€”5.0
value_lowobjectโ€”โ€”
value_highobjectโ€”โ€”
value_displayobjectโ€”5
last_updatedobjectโ€”2025-07-04T09:43:32.187+02:00

Disaggregation dimensions

The following columns provide disaggregation dimensions:

  • โ€”`dim1_type` (1 unique values): TOBACCO_INDICATOR
  • โ€”`dim1` (7 unique values): TOBACCO_INDICATOR_E_Group, TOBACCO_INDICATOR_M_Group, TOBACCO_INDICATOR_O_Group, TOBACCO_INDICATOR_P_Group, TOBACCO_INDICATOR_R_Group

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-tobacco-mpower-overview-monitor")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
germany = df[df["country_iso3"] == "DEU"]

Time-series for a single indicator

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

Pivot to country ร— year matrix

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

Citation

bibtex
@misc{europe_who_tobacco_mpower_overview_monitor_2024,
  title        = {Tobacco MPOWER overview: Monitor, Protect people, Offer help, Warn of dangers, Enforce bans, Raise taxes | Europe (WHO GHO)},
  author       = {World Health Organization},
  year         = {2024},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-tobacco-mpower-overview-monitor}}
}

License

Released under cc-by-4.0.

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

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe 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/electricsheepeurope


Provenance: ingested 2026-05-29 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho