country_name stringlengths 6 22 | country_iso3 stringlengths 3 3 | year int64 2.01k 2.02k | Adequacy of social insurance programs (% of total welfare of beneficiary households) float64 16.7 89.1 |
|---|---|---|---|
Albania | ALB | 2,008 | 29.186346 |
Albania | ALB | 2,012 | 33.232056 |
Belarus | BLR | 2,008 | 52.57943 |
Belarus | BLR | 2,009 | 53.59666 |
Belarus | BLR | 2,010 | 53.93382 |
Belarus | BLR | 2,012 | 54.700058 |
Belarus | BLR | 2,013 | 61.08942 |
Belarus | BLR | 2,014 | 59.29379 |
Belarus | BLR | 2,015 | 61.33467 |
Belarus | BLR | 2,016 | 63.070564 |
Belarus | BLR | 2,017 | 61.57378 |
Belarus | BLR | 2,018 | 60.044224 |
Belarus | BLR | 2,019 | 64.621284 |
Bosnia and Herzegovina | BIH | 2,007 | 16.686983 |
Bosnia and Herzegovina | BIH | 2,015 | 34.084507 |
Bulgaria | BGR | 2,007 | 36.38156 |
Croatia | HRV | 2,008 | 36.447273 |
Croatia | HRV | 2,010 | 42.776104 |
Croatia | HRV | 2,011 | 47.589523 |
Croatia | HRV | 2,014 | 47.224365 |
Hungary | HUN | 2,007 | 61.2359 |
Latvia | LVA | 2,008 | 34.296898 |
Latvia | LVA | 2,009 | 47.822815 |
Lithuania | LTU | 2,008 | 51.43149 |
Moldova | MDA | 2,010 | 37.24888 |
Moldova | MDA | 2,012 | 38.698074 |
Moldova | MDA | 2,013 | 38.85174 |
Moldova | MDA | 2,017 | 44.287495 |
Moldova | MDA | 2,018 | 53.76023 |
Montenegro | MNE | 2,011 | 55.119102 |
Montenegro | MNE | 2,012 | 54.01652 |
Montenegro | MNE | 2,013 | 59.010517 |
Montenegro | MNE | 2,014 | 53.664337 |
Poland | POL | 2,005 | 71.753944 |
Poland | POL | 2,006 | 71.457726 |
Poland | POL | 2,007 | 69.74261 |
Poland | POL | 2,008 | 68.41161 |
Poland | POL | 2,009 | 70.62649 |
Poland | POL | 2,010 | 71.55571 |
Poland | POL | 2,011 | 72.79593 |
Poland | POL | 2,012 | 74.27561 |
Poland | POL | 2,015 | 78.675224 |
Poland | POL | 2,016 | 76.04756 |
Poland | POL | 2,017 | 67.07925 |
Poland | POL | 2,019 | 86.87361 |
Romania | ROU | 2,008 | 61.661854 |
Romania | ROU | 2,011 | 69.637024 |
Romania | ROU | 2,012 | 67.69727 |
Romania | ROU | 2,016 | 79.53267 |
Romania | ROU | 2,019 | 82.92043 |
Romania | ROU | 2,020 | 89.103294 |
Romania | ROU | 2,021 | 87.999374 |
Russia | RUS | 2,014 | 25.755125 |
Russia | RUS | 2,015 | 26.798374 |
Russia | RUS | 2,016 | 26.260971 |
Russia | RUS | 2,017 | 32.946682 |
Serbia | SRB | 2,007 | 48.47638 |
Serbia | SRB | 2,010 | 58.027843 |
Serbia | SRB | 2,013 | 56.479557 |
Serbia | SRB | 2,015 | 57.146355 |
Adequacy Of Social Insurance Programs | Europe (Our World in Data)
🇪🇺 75 observations · 16 Europe countries · 2005–2022 · Repackaged by Electric Sheep Europe
TL;DR
This dataset contains 75 observations of Adequacy Of Social Insurance Programs data across 16 Europe countries, spanning 2005–2022.
About the source
- Source: Our World in Data
- Publisher: Our World in Data
- License: cc-by-4.0
- Topic: Adequacy Of Social Insurance Programs
Geographic coverage
16 Europe countries · top rows shown below, sorted by row count:
| Country | Rows | First year | Last year |
|---|---|---|---|
POL |
12 | 2005 | 2019 |
BLR |
11 | 2008 | 2019 |
UKR |
10 | 2006 | 2020 |
SRB |
8 | 2007 | 2022 |
ROU |
7 | 2008 | 2021 |
MDA |
5 | 2010 | 2018 |
MNE |
4 | 2011 | 2014 |
HRV |
4 | 2008 | 2014 |
RUS |
4 | 2014 | 2017 |
BIH |
2 | 2007 | 2015 |
ALB |
2 | 2008 | 2012 |
LVA |
2 | 2008 | 2009 |
LTU |
1 | 2008 | 2008 |
HUN |
1 | 2007 | 2007 |
BGR |
1 | 2007 | 2007 |
| ... | 1 more countries |
Schema
| Column | Type | Description | Example |
|---|---|---|---|
country_name |
string |
— | Albania |
country_iso3 |
string |
— | ALB |
year |
int64 |
— | 2008 |
Adequacy of social insurance programs (% of total welfare of beneficiary households) |
float64 |
— | 29.186346 |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepeurope/europe-owid-adequacy-of-social-insurance-programs")
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="Adequacy of social insurance programs (% of total welfare of beneficiary households)")
Citation
@misc{europe_owid_adequacy_of_social_insurance_programs_2022,
title = {Adequacy Of Social Insurance Programs | Europe (Our World in Data)},
author = {Our World in Data},
year = {2022},
url = {https://ourworldindata.org/grapher/adequacy-of-social-insurance-programs},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-adequacy-of-social-insurance-programs}}
}
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 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/adequacy-of-social-insurance-programs
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