country_name stringlengths 4 11 | country_iso3 stringlengths 3 3 | year int64 2k 2.02k | Adequacy of social insurance programs (% of total welfare of beneficiary households) float64 0.24 93 |
|---|---|---|---|
Afghanistan | AFG | 2,007 | 15.695031 |
Armenia | ARM | 2,008 | 26.948698 |
Armenia | ARM | 2,009 | 33.28939 |
Armenia | ARM | 2,010 | 33.568714 |
Armenia | ARM | 2,011 | 33.250126 |
Armenia | ARM | 2,012 | 34.19257 |
Armenia | ARM | 2,013 | 31.665161 |
Armenia | ARM | 2,014 | 32.642776 |
Armenia | ARM | 2,015 | 33.26404 |
Armenia | ARM | 2,016 | 33.56815 |
Armenia | ARM | 2,017 | 35.859528 |
Armenia | ARM | 2,018 | 36.579746 |
Armenia | ARM | 2,019 | 39.302307 |
Armenia | ARM | 2,020 | 44.59567 |
Armenia | ARM | 2,021 | 40.581085 |
Armenia | ARM | 2,022 | 37.510902 |
Azerbaijan | AZE | 2,015 | 0.242614 |
Bangladesh | BGD | 2,005 | 49.452328 |
Bangladesh | BGD | 2,010 | 34.35872 |
Bangladesh | BGD | 2,016 | 23.440714 |
Bangladesh | BGD | 2,022 | 22.95783 |
Bhutan | BTN | 2,012 | 27.636494 |
Bhutan | BTN | 2,022 | 16.872305 |
Cambodia | KHM | 2,008 | 6.394549 |
Cambodia | KHM | 2,013 | 12.538815 |
China | CHN | 2,013 | 55.345345 |
India | IND | 2,011 | 4.543356 |
Iraq | IRQ | 2,006 | 15.31107 |
Iraq | IRQ | 2,012 | 19.635462 |
Jordan | JOR | 2,006 | 36.4881 |
Jordan | JOR | 2,010 | 33.106125 |
Kazakhstan | KAZ | 2,007 | 10.524757 |
Kazakhstan | KAZ | 2,010 | 22.932228 |
Kazakhstan | KAZ | 2,014 | 4.530132 |
Kazakhstan | KAZ | 2,015 | 49.857285 |
Kazakhstan | KAZ | 2,017 | 52.119137 |
Kazakhstan | KAZ | 2,018 | 53.525566 |
Kazakhstan | KAZ | 2,019 | 56.566723 |
Kazakhstan | KAZ | 2,020 | 57.37217 |
Kazakhstan | KAZ | 2,021 | 54.724148 |
Kyrgyzstan | KGZ | 2,006 | 29.955978 |
Kyrgyzstan | KGZ | 2,011 | 34.67935 |
Kyrgyzstan | KGZ | 2,012 | 43.980125 |
Kyrgyzstan | KGZ | 2,013 | 44.369488 |
Kyrgyzstan | KGZ | 2,014 | 45.94671 |
Kyrgyzstan | KGZ | 2,015 | 46.144165 |
Kyrgyzstan | KGZ | 2,016 | 45.30881 |
Kyrgyzstan | KGZ | 2,017 | 44.733475 |
Kyrgyzstan | KGZ | 2,018 | 43.55467 |
Kyrgyzstan | KGZ | 2,019 | 43.637203 |
Kyrgyzstan | KGZ | 2,020 | 43.264362 |
Laos | LAO | 2,007 | 29.84061 |
Laos | LAO | 2,018 | 90.856705 |
Malaysia | MYS | 2,008 | 30.276123 |
Malaysia | MYS | 2,012 | 11.246481 |
Malaysia | MYS | 2,014 | 30.909916 |
Malaysia | MYS | 2,016 | 31.390291 |
Maldives | MDV | 2,004 | 3.913121 |
Maldives | MDV | 2,009 | 11.036323 |
Maldives | MDV | 2,016 | 10.551655 |
Maldives | MDV | 2,019 | 16.396406 |
Mongolia | MNG | 2,007 | 26.807219 |
Mongolia | MNG | 2,009 | 29.191082 |
Mongolia | MNG | 2,010 | 22.969202 |
Mongolia | MNG | 2,011 | 24.940874 |
Mongolia | MNG | 2,012 | 23.399538 |
Mongolia | MNG | 2,014 | 29.745512 |
Mongolia | MNG | 2,016 | 40.16289 |
Mongolia | MNG | 2,018 | 40.74457 |
Mongolia | MNG | 2,020 | 45.562214 |
Myanmar | MMR | 2,017 | 16.418188 |
Nepal | NPL | 2,010 | 18.24554 |
Pakistan | PAK | 2,007 | 25.830048 |
Pakistan | PAK | 2,009 | 19.444584 |
Pakistan | PAK | 2,013 | 30.428846 |
Pakistan | PAK | 2,015 | 32.47232 |
Pakistan | PAK | 2,018 | 38.998463 |
Palestine | PSE | 2,016 | 20.813135 |
Philippines | PHL | 2,006 | 18.972357 |
Philippines | PHL | 2,013 | 29.598925 |
Philippines | PHL | 2,015 | 10.365789 |
Philippines | PHL | 2,018 | 21.453161 |
Sri Lanka | LKA | 2,006 | 36.550106 |
Sri Lanka | LKA | 2,009 | 34.936695 |
Sri Lanka | LKA | 2,012 | 32.09821 |
Sri Lanka | LKA | 2,016 | 34.76023 |
Sri Lanka | LKA | 2,019 | 33.552193 |
Syria | SYR | 2,003 | 67.62899 |
Tajikistan | TJK | 2,011 | 7.998573 |
Thailand | THA | 2,006 | 3.771905 |
Thailand | THA | 2,009 | 65.69184 |
Thailand | THA | 2,011 | 81.81837 |
Thailand | THA | 2,013 | 76.20813 |
Thailand | THA | 2,017 | 79.26374 |
Thailand | THA | 2,019 | 83.87239 |
Thailand | THA | 2,021 | 92.99584 |
Adequacy Of Social Insurance Programs | Asia (Our World in Data)
🌏 121 observations · 29 Asia countries · 2003–2022 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 121 observations of Adequacy Of Social Insurance Programs data across 29 Asia countries, spanning 2003–2022.
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
29 Asia countries · top rows shown below, sorted by row count:
| Country | Rows | First year | Last year |
|---|---|---|---|
TUR |
16 | 2004 | 2019 |
ARM |
15 | 2008 | 2022 |
KGZ |
11 | 2006 | 2020 |
MNG |
9 | 2007 | 2020 |
KAZ |
9 | 2007 | 2021 |
THA |
7 | 2006 | 2021 |
VNM |
6 | 2006 | 2020 |
LKA |
5 | 2006 | 2019 |
PAK |
5 | 2007 | 2018 |
MDV |
4 | 2004 | 2019 |
PHL |
4 | 2006 | 2018 |
BGD |
4 | 2005 | 2022 |
MYS |
4 | 2008 | 2016 |
BTN |
2 | 2012 | 2022 |
YEM |
2 | 2005 | 2014 |
| ... | 14 more countries |
Schema
| Column | Type | Description | Example |
|---|---|---|---|
country_name |
string |
— | Afghanistan |
country_iso3 |
string |
— | AFG |
year |
int64 |
— | 2007 |
Adequacy of social insurance programs (% of total welfare of beneficiary households) |
float64 |
— | 15.695031 |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepasia/asia-owid-adequacy-of-social-insurance-programs")
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="Adequacy of social insurance programs (% of total welfare of beneficiary households)")
Citation
@misc{asia_owid_adequacy_of_social_insurance_programs_2022,
title = {Adequacy Of Social Insurance Programs | Asia (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 Asia},
howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-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 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 2026-06-02 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/adequacy-of-social-insurance-programs
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