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electricsheepasia/asia-owid-ppp-conversion-factor-for-private-consumption

Ppp Conversion Factor For Private Consumption | Asia (Our World in Data) 🌏 1,437 observations · 47 Asia countries · 1990–2024 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,437 observations of Ppp Conversion Factor For Private Consumption data across 47 Asia countries, spanning 1990–2024. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Ppp Conversion Factor For Private… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-ppp-conversion-factor-for-private-consumption.

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Dataset Card

Ppp Conversion Factor For Private Consumption | Asia (Our World in Data)

🌏 1,437 observations · 47 Asia countries · 1990–2024 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 1,437 observations of Ppp Conversion Factor For Private Consumption data across 47 Asia countries, spanning 1990–2024.

About the source

  • —Source: Our World in Data
  • —Publisher: Our World in Data
  • —License: cc-by-4.0
  • —Topic: Ppp Conversion Factor For Private Consumption

Geographic coverage

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

CountryRowsFirst yearLast year
BRN3519902024
BHR3519902024
BGD3519902024
IDN3519902024
CYP3519902024
CHN3519902024
BTN3519902024
IRN3519902024
IND3519902024
MDV3519902024
KOR3519902024
KWT3519902024
JPN3519902024
JOR3519902024
ISR3519902024
...32 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—2004
PPP conversion factor, private consumption (LCU per international $)float64—11.359367

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-ppp-conversion-factor-for-private-consumption")
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="PPP conversion factor, private consumption (LCU per international $)")

Citation

bibtex
@misc{asia_owid_ppp_conversion_factor_for_private_consumption_2024,
  title        = {Ppp Conversion Factor For Private Consumption | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/ppp-conversion-factor-for-private-consumption},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-ppp-conversion-factor-for-private-consumption}}
}

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 2026-06-07 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/ppp-conversion-factor-for-private-consumption