electricsheepasia/asia-employment-employment-labour-force-participation-un

Türkiye: Employment rate, Labour Force Participation and Unemployment statistics

Publisher: UN in Türkiye · Source: HDX · License: cc-by · Updated: 2025-05-05

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Abstract

Employment Rate (%) Labour Force Participation Rate (%) Unemployment Rate (%)

Each row in this dataset represents time-series observations. Temporal coverage is indicated by the date_of_dataset column(s). Geographic scope: TUR.

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	Time-series observations
Rows (total)	198
Columns	12 (2 numeric, 9 categorical, 1 datetime)
Train split	158 rows
Test split	39 rows
Geographic scope	TUR
Publisher	UN in Türkiye
HDX last updated	2025-05-05

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Variables

Geographic — sex (Total, Female, Male), year (range 2014.0–2021.0), expected_update_frequency (Yearly), location (Turkiye).

Temporal — date_of_dataset.

Demographic — age_group ( 15+, 15-24, 15-64).

Outcome / Measurement — value (range 9.0–78.6).

Identifier / Metadata — source (TurkStat), esa_source (HDX), esa_processed (2026-05-04).

Other — indicator (Employment Rate (%), Labour Force Participation Rate (%), Unemployment Rate (%)), unit (%).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-employment-all")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
indicator	object	0.0%	Employment Rate (%), Labour Force Participation Rate (%), Unemployment Rate (%)
sex	object	0.0%	Total, Female, Male
age_group	object	0.0%	15+, 15-24, 15-64
unit	object	0.0%	%
year	int64	0.0%	2014.0 – 2021.0 (mean 2017.2273)
value	float64	0.0%	9.0 – 78.6 (mean 35.952)
source	object	0.0%	TurkStat
date_of_dataset	datetime64[ns]	0.0%
expected_update_frequency	object	0.0%	Yearly
location	object	0.0%	Turkiye
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-05-04

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Numeric Summary

Column	Min	Max	Mean	Median
year	2014.0	2021.0	2017.2273	2017.0
value	9.0	78.6	35.952	32.35

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Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 1 column(s) with >80% missing values were removed: breakdown1. 1 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

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Limitations

• Data originates from UN in Türkiye and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_asia_employment_all,
  title     = {Türkiye: Employment rate, Labour Force Participation and  Unemployment statistics},
  author    = {UN in Türkiye},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/employment-labour-force-participation-unemployment},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.