Datasets:

electricsheepasia
/

asia-owid-youth-not-in-education-employment-training

country_name stringclasses 32 values	country_iso3 stringclasses 32 values	year int64 2k 2.02k	Share of youth not in education, employment or training float64 2.97 53.8
Afghanistan	AFG	2,014	35.06
Afghanistan	AFG	2,017	42.84
Afghanistan	AFG	2,020	53.76
Afghanistan	AFG	2,021	43.77
Armenia	ARM	2,007	38.67
Armenia	ARM	2,008	38.14
Armenia	ARM	2,009	38.54
Armenia	ARM	2,010	38.29
Armenia	ARM	2,011	37.22
Armenia	ARM	2,012	34.62
Armenia	ARM	2,013	34.89
Armenia	ARM	2,014	38.03
Armenia	ARM	2,015	35.56
Armenia	ARM	2,016	36.58
Armenia	ARM	2,017	36.59
Armenia	ARM	2,018	24.75
Armenia	ARM	2,019	25.46
Armenia	ARM	2,020	25.98
Armenia	ARM	2,021	21.89
Azerbaijan	AZE	2,009	9.4
Azerbaijan	AZE	2,010	9.64
Bangladesh	BGD	2,005	30.99
Bangladesh	BGD	2,006	32.26
Bangladesh	BGD	2,010	30.06
Bangladesh	BGD	2,013	32.04
Bangladesh	BGD	2,016	28.88
Bangladesh	BGD	2,017	27.39
Bangladesh	BGD	2,022	14.96
Bhutan	BTN	2,018	15.19
Bhutan	BTN	2,019	10.41
Bhutan	BTN	2,020	11.97
Bhutan	BTN	2,021	9.56
Bhutan	BTN	2,022	18.62
Bhutan	BTN	2,023	19.72
Brunei	BRN	2,014	17.11
Brunei	BRN	2,017	19.97
Brunei	BRN	2,018	20.72
Brunei	BRN	2,019	20.09
Brunei	BRN	2,020	21.43
Brunei	BRN	2,021	18.68
Brunei	BRN	2,022	20
Brunei	BRN	2,023	16.52
Cambodia	KHM	2,000	10.34
Cambodia	KHM	2,001	6.13
Cambodia	KHM	2,003	10.32
Cambodia	KHM	2,007	8.05
Cambodia	KHM	2,008	8.63
Cambodia	KHM	2,009	7.13
Cambodia	KHM	2,010	5.31
Cambodia	KHM	2,011	5.1
Cambodia	KHM	2,012	12.72
Cambodia	KHM	2,013	6.34
Cambodia	KHM	2,014	6.32
Cambodia	KHM	2,015	6.59
Cambodia	KHM	2,016	6.41
Cambodia	KHM	2,017	6.46
Cambodia	KHM	2,019	11.38
Cambodia	KHM	2,020	5.69
Cambodia	KHM	2,021	6.19
China	CHN	2,000	12.69
Cyprus	CYP	2,000	10.05
Cyprus	CYP	2,001	7.77
Cyprus	CYP	2,002	8.38
Cyprus	CYP	2,003	8.93
Cyprus	CYP	2,004	21.79
Cyprus	CYP	2,005	19.52
Cyprus	CYP	2,006	10.73
Cyprus	CYP	2,007	8.99
Cyprus	CYP	2,008	9.65
Cyprus	CYP	2,009	9.9
Cyprus	CYP	2,010	11.68
Cyprus	CYP	2,011	14.64
Cyprus	CYP	2,012	15.98
Cyprus	CYP	2,013	18.67
Cyprus	CYP	2,014	17.01
Cyprus	CYP	2,015	15.3
Cyprus	CYP	2,016	16.02
Cyprus	CYP	2,017	16.09
Cyprus	CYP	2,018	13.21
Cyprus	CYP	2,019	13.66
Cyprus	CYP	2,020	14.36
Cyprus	CYP	2,021	13.77
Cyprus	CYP	2,022	14.72
Cyprus	CYP	2,023	13.64
East Timor	TLS	2,007	25.89
East Timor	TLS	2,010	19.04
East Timor	TLS	2,013	16.72
East Timor	TLS	2,015	21
East Timor	TLS	2,016	20.95
East Timor	TLS	2,021	31.17
East Timor	TLS	2,022	29.12
Georgia	GEO	2,012	32.56
Georgia	GEO	2,013	30.95
Georgia	GEO	2,014	28.77
Georgia	GEO	2,015	27.44
Georgia	GEO	2,016	26.82
Georgia	GEO	2,017	24.76
Georgia	GEO	2,018	26.85
Georgia	GEO	2,019	26
Georgia	GEO	2,020	24.91

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Youth Not In Education Employment Training | Asia (Our World in Data)

🌏 410 observations · 40 Asia countries · 2000–2023 · Repackaged by Electric Sheep Asia

TL;DR

This dataset contains 410 observations of Youth Not In Education Employment Training data across 40 Asia countries, spanning 2000–2023.

About the source

Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Youth Not In Education Employment Training

Geographic coverage

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

Country	Rows	First year	Last year
`IDN`	24	2000	2023
`TUR`	24	2000	2023
`CYP`	24	2000	2023
`PSE`	22	2000	2022
`IRN`	19	2005	2023
`MNG`	18	2003	2023
`KHM`	17	2000	2021
`PHL`	17	2006	2022
`THA`	17	2000	2023
`KAZ`	16	2001	2016
`VNM`	16	2007	2023
`PAK`	15	2005	2021
`ARM`	15	2007	2021
`KGZ`	13	2010	2022
`LKA`	12	2010	2022
...	25 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Afghanistan`
`country_iso3`	`string`	—	`AFG`
`year`	`int64`	—	`2014`
`Share of youth not in education, employment or training`	`float64`	—	`35.06`

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-youth-not-in-education-employment-training")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

sample = df.sort_values("year")
sample.plot(x="year", y="Share of youth not in education, employment or training")

Citation

@misc{asia_owid_youth_not_in_education_employment_training_2023,
  title        = {Youth Not In Education Employment Training | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2023},
  url          = {https://ourworldindata.org/grapher/youth-not-in-education-employment-training},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-youth-not-in-education-employment-training}}
}

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 2026-06-13 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/youth-not-in-education-employment-training

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