electricsheepasia/asia-ilo-sdg-b552-noc-rt-sdg-indicator-5-5-2-proportion-of-women-in-senior

SDG indicator 5.5.2 - Proportion of women in senior and middle management positions -- 19t | Asia (ILOSTAT)

🌏 88 observations · 19 Asia countries · 2013–2025 · Repackaged by Electric Sheep Asia

TL;DR

This dataset contains 88 observations of Employment data across 19 Asia countries, spanning 2013–2025, 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: Employment

Methodology

Data pulled directly from the ILOSTAT REST API at https://rplumber.ilo.org/data/indicator?id=SDG_B552_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

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

Country	Rows	First year	Last year
CYP	11	2014	2024
ISR	11	2014	2024
JPN	10	2014	2023
MNG	6	2019	2024
JOR	6	2017	2023
ARE	5	2017	2022
GEO	5	2020	2024
VNM	5	2020	2024
BRN	4	2014	2024
SGP	4	2021	2024
KHM	4	2019	2023
MMR	4	2017	2020
BGD	3	2022	2024
TLS	3	2013	2022
LAO	2	2017	2022
...	4 more countries

Indicators (sample)

• SDG_B552_NOC_RT — SDG indicator 5.5.2 - Proportion of women in senior and middle management positions -- 19th ICLS (%)

Schema

Column	Type	Description	Example
ref_area	string	ISO 3166-1 alpha-3 country code	ARE
ref_area.label	string	Country name in English	United Arab Emirates
source	string	ILOSTAT source code (e.g. labour force survey)	BA:716
source.label	string	Source name in English	LFS - Labour Force Survey
indicator	string	ILOSTAT indicator code	SDG_B552_NOC_RT
indicator.label	string	Indicator name in English	SDG indicator 5.5.2 - Proportion of w…
time	int64	Observation year	2022
obs_value	float64	Observed indicator value (unit varies — see indicator definition)	23.464
obs_status	string	Observation status flag (e.g. provisional, unreliable)	B
obs_status.label	string	—	Break in series
note_indicator	string	—	I11:264
note_indicator.label	string	—	Break in series: Methodology revised
note_source	string	—	R1:3513
note_source.label	string	—	Repository: ILO-STATISTICS - Micro da…

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

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-ilo-sdg-b552-noc-rt-sdg-indicator-5-5-2-proportion-of-women-in-senior")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

sample = (df[df["indicator"] == "SDG_B552_NOC_RT"]
          .sort_values("time"))
sample.plot(x="time", y="obs_value", title="SDG_B552_NOC_RT")

Pivot to country × year matrix

matrix = (df[df["indicator"] == "SDG_B552_NOC_RT"]
          .pivot_table(index="time", columns="ref_area", values="obs_value"))
print(matrix.tail())

Citation

@misc{asia_ilo_sdg_b552_noc_rt_sdg_indicator_5_5_2_proportion_of_women_in_senior_2025,
  title        = {SDG indicator 5.5.2 - Proportion of women in senior and middle management positions -- 19t | Asia (ILOSTAT)},
  author       = {International Labour Organization (ILO)},
  year         = {2025},
  url          = {https://www.ilo.org/shinyapps/bulkexplorer/?id=SDG_B552_NOC_RT},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-ilo-sdg-b552-noc-rt-sdg-indicator-5-5-2-proportion-of-women-in-senior}}
}

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

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Provenance: ingested 2026-05-25 via the Electric Sheep pipeline. Source URL: https://www.ilo.org/shinyapps/bulkexplorer/?id=SDG_B552_NOC_RT