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country_name
stringclasses
35 values
country_iso3
stringclasses
35 values
year
int64
1.97k
2.03k
National estimates
float64
0.05
38.8
Modeled estimates by the ILO
float64
0.6
38.8
Albania
ALB
1,980
5.6
null
Albania
ALB
1,981
5.1
null
Albania
ALB
1,982
3.6
null
Albania
ALB
1,983
4.4
null
Albania
ALB
1,984
5.7
null
Albania
ALB
1,985
6.7
null
Albania
ALB
1,986
6.4
null
Albania
ALB
1,987
6.1
null
Albania
ALB
1,988
7
null
Albania
ALB
1,989
7.3
null
Albania
ALB
1,990
9.5
null
Albania
ALB
1,991
9.1
10.304
Albania
ALB
1,992
26.5
30.007
Albania
ALB
1,993
22.3
25.251
Albania
ALB
1,994
18.4
20.835
Albania
ALB
1,995
12.9
14.607
Albania
ALB
1,996
12.3
13.928
Albania
ALB
1,997
14.9
16.872
Albania
ALB
1,998
17.7
20.042
Albania
ALB
1,999
18.4
20.835
Albania
ALB
2,000
16.8
19.023
Albania
ALB
2,001
16.4
18.57
Albania
ALB
2,002
4.615
17.891
Albania
ALB
2,003
15
16.985
Albania
ALB
2,004
14.4
16.306
Albania
ALB
2,005
6.566
15.966
Albania
ALB
2,006
13.8
15.626
Albania
ALB
2,007
15.966
15.966
Albania
ALB
2,008
13.06
13.06
Albania
ALB
2,009
13.674
13.674
Albania
ALB
2,010
14.086
14.086
Albania
ALB
2,011
13.481
13.481
Albania
ALB
2,012
13.376
13.376
Albania
ALB
2,013
15.866
15.866
Albania
ALB
2,014
18.055
18.055
Albania
ALB
2,015
17.193
17.193
Albania
ALB
2,016
15.418
15.418
Albania
ALB
2,017
13.616
13.616
Albania
ALB
2,018
12.304
12.304
Albania
ALB
2,019
11.466
11.466
Albania
ALB
2,020
11.639
11.639
Albania
ALB
2,021
11.474
11.474
Albania
ALB
2,022
10.785
10.785
Albania
ALB
2,023
10.669
10.669
Albania
ALB
2,024
null
10.689
Albania
ALB
2,025
null
10.926
Austria
AUT
1,969
2.8
null
Austria
AUT
1,970
2.4
null
Austria
AUT
1,971
1.5
null
Austria
AUT
1,972
1.3
null
Austria
AUT
1,973
1.2
null
Austria
AUT
1,974
1.3
null
Austria
AUT
1,975
2
null
Austria
AUT
1,976
2
null
Austria
AUT
1,977
1.8
null
Austria
AUT
1,978
2.1
null
Austria
AUT
1,979
2
null
Austria
AUT
1,980
1.9
null
Austria
AUT
1,981
2.06
null
Austria
AUT
1,982
3.35
null
Austria
AUT
1,983
4.11
null
Austria
AUT
1,984
3.8
null
Austria
AUT
1,985
3.6
null
Austria
AUT
1,986
3.12
null
Austria
AUT
1,987
3.79
null
Austria
AUT
1,988
3.55
null
Austria
AUT
1,989
3.14
null
Austria
AUT
1,990
3.25
null
Austria
AUT
1,991
3.42
3.42
Austria
AUT
1,992
3.59
3.59
Austria
AUT
1,993
4.25
4.25
Austria
AUT
1,994
3.582
3.535
Austria
AUT
1,995
4.345
4.345
Austria
AUT
1,996
5.282
5.282
Austria
AUT
1,997
5.15
5.15
Austria
AUT
1,998
5.483
5.483
Austria
AUT
1,999
4.699
4.699
Austria
AUT
2,000
4.687
4.687
Austria
AUT
2,001
4.007
4.007
Austria
AUT
2,002
4.852
4.852
Austria
AUT
2,003
4.779
4.779
Austria
AUT
2,004
5.969
5.969
Austria
AUT
2,005
5.682
5.682
Austria
AUT
2,006
5.32
5.32
Austria
AUT
2,007
4.909
4.909
Austria
AUT
2,008
4.198
4.198
Austria
AUT
2,009
5.371
5.371
Austria
AUT
2,010
4.883
4.883
Austria
AUT
2,011
4.637
4.637
Austria
AUT
2,012
4.909
4.909
Austria
AUT
2,013
5.367
5.367
Austria
AUT
2,014
5.674
5.674
Austria
AUT
2,015
5.802
5.802
Austria
AUT
2,016
6.064
6.064
Austria
AUT
2,017
5.561
5.561
Austria
AUT
2,018
4.933
4.933
Austria
AUT
2,019
4.56
4.56
Austria
AUT
2,020
5.201
5.201
Austria
AUT
2,021
6.459
6.459
Austria
AUT
2,022
4.992
4.992
End of preview. Expand in Data Studio

Ilo National Vs Modeled Data | Europe (Our World in Data)

🇪🇺 1,721 observations · 42 Europe countries · 1969–2025 · Repackaged by Electric Sheep Europe

rows countries years license

TL;DR

This dataset contains 1,721 observations of Ilo National Vs Modeled Data data across 42 Europe countries, spanning 1969–2025.

About the source

Geographic coverage

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

Country Rows First year Last year
AUT 57 1969 2025
ESP 57 1969 2025
FIN 57 1969 2025
FRA 56 1970 2025
GBR 55 1971 2025
ITA 55 1970 2025
BEL 55 1971 2025
NOR 54 1972 2025
DNK 53 1973 2025
CHE 51 1975 2025
SWE 51 1969 2025
PRT 47 1974 2025
ALB 46 1980 2025
NLD 45 1975 2025
GRC 45 1981 2025
... 27 more countries

Schema

Column Type Description Example
country_name string Albania
country_iso3 string ALB
year int64 1980
National estimates float64 5.6
Modeled estimates by the ILO float64 10.304

Data quality & caveats

  • National estimates column has 6.1% null values (filtered to non-null in this dataset).

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-owid-ilo-national-vs-modeled-data")
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="National estimates")

Citation

@misc{europe_owid_ilo_national_vs_modeled_data_2025,
  title        = {Ilo National Vs Modeled Data | Europe (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/ilo-national-vs-modeled-data},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-ilo-national-vs-modeled-data}}
}

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 2026-06-11 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/ilo-national-vs-modeled-data

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