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electricsheepasia/asia-ilo-lap-2gdp-noc-rt-labour-income-share-as-a-percent-of-gdp-ilo-modell

Labour income share as a percent of GDP -- ILO modelled estimates, Nov. 2025 (%) | Asia (ILOSTAT) 🌏 1,120 observations · 49 Asia countries · 2004–2026 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,120 observations of Income and pay inequality data across 49 Asia countries, spanning 2004–2026, covering 1 distinct indicators. About the source ILOSTAT is the ILO's central statistics database, the leading global source for… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-ilo-lap-2gdp-noc-rt-labour-income-share-as-a-percent-of-gdp-ilo-modell.

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Dataset Card

Labour income share as a percent of GDP -- ILO modelled estimates, Nov. 2025 (%) | Asia (ILOSTAT)

🌏 1,120 observations · 49 Asia countries · 2004–2026 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 1,120 observations of Income and pay inequality data across 49 Asia countries, spanning 2004–2026, covering 1 distinct indicators.

About the source

ILOSTAT is the ILO's central statistics database, the leading global source for labour statistics. It compiles indicators across employment, unemployment, wages, working time, child labour, informal economy, social protection, occupational injuries, and SDG decent work targets — drawing on national labour force surveys, household income surveys, establishment surveys, and administrative records. Coverage spans 200+ economies, with the ILO's Department of Statistics responsible for harmonisation.

  • —Source: ILOSTAT
  • —Publisher: International Labour Organization (ILO)
  • —License: cc-by-4.0
  • —Topic: Income and pay inequality

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=LAP_2GDP_NOC_RT and filtered to Asia ISO3 country codes. ILOSTAT harmonises raw survey microdata using ICLS (International Conference of Labour Statisticians) definitions; sources are flagged in the source.label column for traceability.

Geographic coverage

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

CountryRowsFirst yearLast year
AFG2320042026
ARE2320042026
ARM2320042026
AZE2320042026
BGD2320042026
BHR2320042026
BRN2320042026
BTN2320042026
CHN2320042026
CYP2320042026
GEO2320042026
IDN2320042026
IND2320042026
IRN2320042026
IRQ2320042026
...34 more countries

Indicators (sample)

  • —LAP_2GDP_NOC_RT — Labour income share as a percent of GDP -- ILO modelled estimates, Nov. 2025 (%)

Schema

ColumnTypeDescriptionExample
ref_areastringISO 3166-1 alpha-3 country codeAFG
ref_area.labelstringCountry name in EnglishAfghanistan
sourcestringILOSTAT source code (e.g. labour force survey)XA:2198
source.labelstringSource name in EnglishILO - Modelled Estimates
indicatorstringILOSTAT indicator codeLAP_2GDP_NOC_RT
indicator.labelstringIndicator name in EnglishLabour income share as a percent of G…
timeint64Observation year2026
obs_valuefloat64Observed indicator value (unit varies — see indicator definition)40.749
obs_statusstringObservation status flag (e.g. provisional, unreliable)I
obs_status.labelstring—Imputation

Data quality & caveats

  • —Data is annual frequency. Some indicators also publish monthly or quarterly series — those are not included here.
  • —When an indicator has multiple sources for the same country×year, the ILO-selected 'best source' is used.
  • —Disaggregation columns (sex, classif1, classif2) are non-null only when the indicator publishes that breakdown.

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-ilo-lap-2gdp-noc-rt-labour-income-share-as-a-percent-of-gdp-ilo-modell")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

python
sample = (df[df["indicator"] == "LAP_2GDP_NOC_RT"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="LAP_2GDP_NOC_RT")

Pivot to country × year matrix

python
matrix = (df[df["indicator"] == "LAP_2GDP_NOC_RT"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

bibtex
@misc{asia_ilo_lap_2gdp_noc_rt_labour_income_share_as_a_percent_of_gdp_ilo_modell_2026,
  title        = {Labour income share as a percent of GDP -- ILO modelled estimates, Nov. 2025 (%) | Asia (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2026},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=LAP_2GDP_NOC_RT},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-ilo-lap-2gdp-noc-rt-labour-income-share-as-a-percent-of-gdp-ilo-modell}}
}

License

Released under cc-by-4.0.

Original data © International Labour Organization (ILO). 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 2026-05-28 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=LAP2GDPNOCRT_