Datasets:
country_name stringlengths 4 12 | country_iso3 stringlengths 3 3 | year int64 2.01k 2.01k | Average per capita alcohol consumption (15-19 year old males) float64 0.1 39.5 | Average per capita alcohol consumption (15-19 year old females) float64 0 8.4 | Population int64 361k 1.35B | World region according to OWID stringclasses 2
values |
|---|---|---|---|---|---|---|
Afghanistan | AFG | 2,010 | 1.2 | 0.1 | 28,284,088 | Asia |
Armenia | ARM | 2,010 | 10.3 | 3.9 | 2,931,083 | Asia |
Azerbaijan | AZE | 2,010 | 7.9 | 4 | 9,146,852 | Asia |
Bahrain | BHR | 2,010 | 0.2 | 0 | 1,213,248 | Asia |
Bangladesh | BGD | 2,010 | 9.7 | 5.5 | 152,201,978 | Asia |
Bhutan | BTN | 2,010 | 3.5 | 0.5 | 701,638 | Asia |
Brunei | BRN | 2,010 | 1.9 | 0.1 | 392,340 | Asia |
Cambodia | KHM | 2,010 | 6.9 | 1.6 | 14,500,730 | Asia |
China | CHN | 2,010 | 5 | 1.1 | 1,351,561,505 | Asia |
Cyprus | CYP | 2,010 | 14.2 | 6 | 1,127,826 | Europe |
East Timor | TLS | 2,010 | 3 | 0.7 | 1,084,688 | Asia |
Georgia | GEO | 2,010 | 14.2 | 3.6 | 3,895,932 | Asia |
India | IND | 2,010 | 3.2 | 0.3 | 1,243,481,565 | Asia |
Indonesia | IDN | 2,010 | 0.3 | 0 | 246,305,327 | Asia |
Iran | IRN | 2,010 | 2.5 | 0.6 | 77,420,851 | Asia |
Iraq | IRQ | 2,010 | 1.3 | 0.1 | 31,045,367 | Asia |
Israel | ISR | 2,010 | 5.9 | 1.9 | 7,336,735 | Asia |
Japan | JPN | 2,010 | 8.7 | 3.7 | 128,185,273 | Asia |
Jordan | JOR | 2,010 | 1.5 | 0.4 | 7,297,046 | Asia |
Kazakhstan | KAZ | 2,010 | 20.7 | 6 | 16,836,808 | Asia |
Kuwait | KWT | 2,010 | 0.5 | 0.1 | 2,943,374 | Asia |
Kyrgyzstan | KGZ | 2,010 | 11.9 | 3.6 | 5,491,763 | Asia |
Laos | LAO | 2,010 | 7.7 | 1.7 | 6,334,198 | Asia |
Lebanon | LBN | 2,010 | 39.5 | 8.4 | 5,041,290 | Asia |
Malaysia | MYS | 2,010 | 3.5 | 0.7 | 28,655,772 | Asia |
Maldives | MDV | 2,010 | 0.3 | 0 | 360,802 | Asia |
Mongolia | MNG | 2,010 | 12.4 | 2 | 2,701,739 | Asia |
Myanmar | MMR | 2,010 | 3.3 | 0.1 | 49,024,376 | Asia |
Nepal | NPL | 2,010 | 13.7 | 0.9 | 27,341,955 | Asia |
North Korea | PRK | 2,010 | 4.9 | 0.4 | 24,987,257 | Asia |
Oman | OMN | 2,010 | 1.9 | 0.7 | 2,757,450 | Asia |
Pakistan | PAK | 2,010 | 0.1 | 0 | 199,239,048 | Asia |
Philippines | PHL | 2,010 | 5.9 | 1.3 | 96,337,127 | Asia |
Qatar | QAT | 2,010 | 9.5 | 2.8 | 1,709,238 | Asia |
Saudi Arabia | SAU | 2,010 | 0.9 | 0.3 | 25,157,134 | Asia |
Singapore | SGP | 2,010 | 2.8 | 0.7 | 5,077,020 | Asia |
South Korea | KOR | 2,010 | 15.8 | 3 | 48,769,329 | Asia |
Alcohol Consumption By 15 19 Year Old Males Vs Females | Asia (Our World in Data)
🌏 47 observations · 47 Asia countries · 2010–2010 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 47 observations of Alcohol Consumption By 15 19 Year Old Males Vs Females data across 47 Asia countries, spanning 2010–2010.
About the source
- Source: Our World in Data
- Publisher: Our World in Data
- License: cc-by-4.0
- Topic: Alcohol Consumption By 15 19 Year Old Males Vs Females
Geographic coverage
47 Asia countries · top rows shown below, sorted by row count:
| Country | Rows | First year | Last year |
|---|---|---|---|
AFG |
1 | 2010 | 2010 |
ARE |
1 | 2010 | 2010 |
ARM |
1 | 2010 | 2010 |
AZE |
1 | 2010 | 2010 |
BGD |
1 | 2010 | 2010 |
BHR |
1 | 2010 | 2010 |
BRN |
1 | 2010 | 2010 |
BTN |
1 | 2010 | 2010 |
CHN |
1 | 2010 | 2010 |
CYP |
1 | 2010 | 2010 |
GEO |
1 | 2010 | 2010 |
IDN |
1 | 2010 | 2010 |
IND |
1 | 2010 | 2010 |
IRN |
1 | 2010 | 2010 |
IRQ |
1 | 2010 | 2010 |
| ... | 32 more countries |
Schema
| Column | Type | Description | Example |
|---|---|---|---|
country_name |
string |
— | Afghanistan |
country_iso3 |
string |
— | AFG |
year |
int64 |
— | 2010 |
Average per capita alcohol consumption (15-19 year old males) |
float64 |
— | 1.2 |
Average per capita alcohol consumption (15-19 year old females) |
float64 |
— | 0.1 |
Population |
int64 |
— | 28284088 |
World region according to OWID |
string |
— | Asia |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepasia/asia-owid-alcohol-consumption-by-15-19-year-old-males-vs-females")
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.sort_values("year")
sample.plot(x="year", y="Average per capita alcohol consumption (15-19 year old males)")
Citation
@misc{asia_owid_alcohol_consumption_by_15_19_year_old_males_vs_females_2010,
title = {Alcohol Consumption By 15 19 Year Old Males Vs Females | Asia (Our World in Data)},
author = {Our World in Data},
year = {2010},
url = {https://ourworldindata.org/grapher/alcohol-consumption-by-15-19-year-old-males-vs-females},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-alcohol-consumption-by-15-19-year-old-males-vs-females}}
}
License
Released under cc-by-4.0.
Original data © Our World in Data. 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 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/alcohol-consumption-by-15-19-year-old-males-vs-females
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