Datasets:

electricsheepeurope
/

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

country_name stringclasses 30 values	country_iso3 stringclasses 30 values	year int64 2k 2.02k	Share of youth not in education, employment or training float64 3.08 64
Austria	AUT	2,000	7.92
Austria	AUT	2,001	8.09
Austria	AUT	2,002	6.09
Austria	AUT	2,003	7.25
Austria	AUT	2,004	9.64
Austria	AUT	2,005	11.84
Austria	AUT	2,006	11.22
Austria	AUT	2,007	10.71
Austria	AUT	2,008	10.37
Austria	AUT	2,009	11.73
Austria	AUT	2,010	10.79
Austria	AUT	2,011	10.56
Austria	AUT	2,012	10.16
Austria	AUT	2,013	10.34
Austria	AUT	2,014	10.76
Austria	AUT	2,015	11.04
Austria	AUT	2,016	10.91
Austria	AUT	2,017	10.45
Austria	AUT	2,018	10.42
Austria	AUT	2,019	11.01
Austria	AUT	2,020	11.42
Austria	AUT	2,021	12.26
Austria	AUT	2,022	12.16
Austria	AUT	2,023	13.12
Belarus	BLR	2,009	12.08
Belarus	BLR	2,016	8.05
Belarus	BLR	2,017	7.11
Belarus	BLR	2,018	6.2
Belarus	BLR	2,019	6.9
Belarus	BLR	2,020	6.79
Belarus	BLR	2,021	5.48
Belarus	BLR	2,022	5.15
Belgium	BEL	2,000	9.04
Belgium	BEL	2,001	9.06
Belgium	BEL	2,002	9.78
Belgium	BEL	2,003	10.33
Belgium	BEL	2,004	8.55
Belgium	BEL	2,005	13.02
Belgium	BEL	2,006	11.25
Belgium	BEL	2,007	11.16
Belgium	BEL	2,008	10.14
Belgium	BEL	2,009	11.08
Belgium	BEL	2,010	10.86
Belgium	BEL	2,011	11.81
Belgium	BEL	2,012	12.35
Belgium	BEL	2,013	12.68
Belgium	BEL	2,014	12.05
Belgium	BEL	2,015	12.18
Belgium	BEL	2,016	9.89
Belgium	BEL	2,017	9.85
Belgium	BEL	2,018	9.8
Belgium	BEL	2,019	9.25
Belgium	BEL	2,020	9.99
Belgium	BEL	2,021	6.65
Belgium	BEL	2,022	7.11
Belgium	BEL	2,023	6.76
Bosnia and Herzegovina	BIH	2,001	32.45
Bosnia and Herzegovina	BIH	2,006	35.49
Bosnia and Herzegovina	BIH	2,007	32.36
Bosnia and Herzegovina	BIH	2,008	27.37
Bosnia and Herzegovina	BIH	2,009	26.63
Bosnia and Herzegovina	BIH	2,010	28.73
Bosnia and Herzegovina	BIH	2,011	28.3
Bosnia and Herzegovina	BIH	2,012	28.92
Bosnia and Herzegovina	BIH	2,013	26.63
Bosnia and Herzegovina	BIH	2,014	27.1
Bosnia and Herzegovina	BIH	2,015	28.35
Bosnia and Herzegovina	BIH	2,016	27.09
Bosnia and Herzegovina	BIH	2,017	25.51
Bosnia and Herzegovina	BIH	2,018	22.61
Bosnia and Herzegovina	BIH	2,019	22.6
Bosnia and Herzegovina	BIH	2,020	21.81
Bosnia and Herzegovina	BIH	2,021	19.3
Bosnia and Herzegovina	BIH	2,022	17.62
Bosnia and Herzegovina	BIH	2,023	15.98
Bulgaria	BGR	2,001	29.69
Bulgaria	BGR	2,002	27.38
Bulgaria	BGR	2,003	28.29
Bulgaria	BGR	2,004	24.37
Bulgaria	BGR	2,005	25.05
Bulgaria	BGR	2,006	22.24
Bulgaria	BGR	2,007	19.15
Bulgaria	BGR	2,008	16.79
Bulgaria	BGR	2,009	19.81
Bulgaria	BGR	2,010	21.14
Bulgaria	BGR	2,011	22.4
Bulgaria	BGR	2,012	21.59
Bulgaria	BGR	2,013	20.95
Bulgaria	BGR	2,014	20.19
Bulgaria	BGR	2,015	18.47
Bulgaria	BGR	2,016	18.2
Bulgaria	BGR	2,017	15.85
Bulgaria	BGR	2,018	13.84
Bulgaria	BGR	2,019	13.55
Bulgaria	BGR	2,020	14.71
Bulgaria	BGR	2,021	13.57
Bulgaria	BGR	2,022	12.55
Bulgaria	BGR	2,023	11.15
Croatia	HRV	2,002	20.37
Croatia	HRV	2,003	18.21

End of preview. Expand in Data Studio

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

🇪🇺 816 observations · 38 Europe countries · 2000–2024 · Repackaged by Electric Sheep Europe

TL;DR

This dataset contains 816 observations of Youth Not In Education Employment Training data across 38 Europe countries, spanning 2000–2024.

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

38 Europe countries · top rows shown below, sorted by row count:

Country	Rows	First year	Last year
`ESP`	25	2000	2024
`AUT`	24	2000	2023
`CHE`	24	2000	2023
`DNK`	24	2000	2023
`DEU`	24	2000	2023
`BEL`	24	2000	2023
`SVN`	24	2000	2023
`SWE`	24	2000	2023
`ROU`	24	2000	2023
`EST`	24	2000	2023
`FRA`	24	2000	2023
`FIN`	24	2000	2023
`GBR`	24	2000	2023
`GRC`	24	2000	2023
`LTU`	24	2000	2023
...	23 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Austria`
`country_iso3`	`string`	—	`AUT`
`year`	`int64`	—	`2000`
`Share of youth not in education, employment or training`	`float64`	—	`7.92`

Usage

from datasets import load_dataset

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

Filter to one country

germany = df[df["country_iso3"] == "DEU"]

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{europe_owid_youth_not_in_education_employment_training_2024,
  title        = {Youth Not In Education Employment Training | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/youth-not-in-education-employment-training},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-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 Europe repackaging.

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe 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/electricsheepeurope

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

Downloads last month: 10