CoolFace
Datasetpublic

electricsheepasia/asia-owid-inflation-of-consumer-prices

Inflation Of Consumer Prices | Asia (Our World in Data) 🌏 2,076 observations Β· 46 Asia countries Β· 1960–2024 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 2,076 observations of Inflation Of Consumer Prices data across 46 Asia countries, spanning 1960–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Inflation Of Consumer Prices Geographic coverage 46 Asia… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-inflation-of-consumer-prices.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes34downloads
Dataset Card

Inflation Of Consumer Prices | Asia (Our World in Data)

🌏 2,076 observations Β· 46 Asia countries Β· 1960–2024 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 2,076 observations of Inflation Of Consumer Prices data across 46 Asia countries, spanning 1960–2024.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Inflation Of Consumer Prices

Geographic coverage

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

CountryRowsFirst yearLast year
IRN6519602024
CYP6519602024
IDN6519602024
IND6519602024
JPN6519602024
ISR6519602024
PHL6519602024
PAK6519602024
TUR6519602024
MYS6519602024
LKA6519602024
KOR6519602024
THA6419602024
SGP6419612024
SAU6119642024
...31 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Afghanistan
country_iso3stringβ€”AFG
yearint64β€”2005
Inflation, consumer prices (annual %)float64β€”12.686269

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-inflation-of-consumer-prices")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

python
sample = df.sort_values("year")
sample.plot(x="year", y="Inflation, consumer prices (annual %)")

Citation

bibtex
@misc{asia_owid_inflation_of_consumer_prices_2024,
  title        = {Inflation Of Consumer Prices | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/inflation-of-consumer-prices},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-inflation-of-consumer-prices}}
}

License

Released under cc-by-4.0.

Original data Β© 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 2026-06-11 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/inflation-of-consumer-prices