Datasets:
country_name stringclasses 42
values | country_iso3 stringclasses 42
values | year int64 1.99k 2.02k | Absolute deaths from ambient PM2.5 air pollution- State of Global Air int64 100 79.4k |
|---|---|---|---|
Algeria | DZA | 1,990 | 6,800 |
Algeria | DZA | 1,995 | 7,000 |
Algeria | DZA | 2,000 | 7,600 |
Algeria | DZA | 2,005 | 8,000 |
Algeria | DZA | 2,010 | 8,800 |
Algeria | DZA | 2,015 | 12,000 |
Angola | AGO | 1,990 | 8,600 |
Angola | AGO | 1,995 | 8,900 |
Angola | AGO | 2,000 | 9,700 |
Angola | AGO | 2,005 | 9,000 |
Angola | AGO | 2,010 | 9,200 |
Angola | AGO | 2,015 | 10,200 |
Benin | BEN | 1,990 | 4,100 |
Benin | BEN | 1,995 | 4,500 |
Benin | BEN | 2,000 | 4,700 |
Benin | BEN | 2,005 | 4,100 |
Benin | BEN | 2,010 | 4,300 |
Benin | BEN | 2,015 | 4,300 |
Botswana | BWA | 1,990 | 400 |
Botswana | BWA | 1,995 | 500 |
Botswana | BWA | 2,000 | 600 |
Botswana | BWA | 2,005 | 700 |
Botswana | BWA | 2,010 | 600 |
Botswana | BWA | 2,015 | 700 |
Burkina Faso | BFA | 1,990 | 7,700 |
Burkina Faso | BFA | 1,995 | 7,900 |
Burkina Faso | BFA | 2,000 | 8,200 |
Burkina Faso | BFA | 2,005 | 7,400 |
Burkina Faso | BFA | 2,010 | 7,300 |
Burkina Faso | BFA | 2,015 | 6,700 |
Burundi | BDI | 1,990 | 5,000 |
Burundi | BDI | 1,995 | 5,200 |
Burundi | BDI | 2,000 | 4,700 |
Burundi | BDI | 2,005 | 3,900 |
Burundi | BDI | 2,010 | 3,700 |
Burundi | BDI | 2,015 | 4,600 |
Cameroon | CMR | 1,990 | 10,000 |
Cameroon | CMR | 1,995 | 11,600 |
Cameroon | CMR | 2,000 | 13,500 |
Cameroon | CMR | 2,005 | 12,800 |
Cameroon | CMR | 2,010 | 12,800 |
Cameroon | CMR | 2,015 | 12,900 |
Cape Verde | CPV | 1,990 | 200 |
Cape Verde | CPV | 1,995 | 200 |
Cape Verde | CPV | 2,000 | 200 |
Cape Verde | CPV | 2,005 | 200 |
Cape Verde | CPV | 2,010 | 200 |
Cape Verde | CPV | 2,015 | 200 |
Central African Republic | CAF | 1,990 | 3,000 |
Central African Republic | CAF | 1,995 | 3,300 |
Central African Republic | CAF | 2,000 | 3,600 |
Central African Republic | CAF | 2,005 | 3,700 |
Central African Republic | CAF | 2,010 | 3,800 |
Central African Republic | CAF | 2,015 | 4,100 |
Chad | TCD | 1,990 | 4,900 |
Chad | TCD | 1,995 | 5,600 |
Chad | TCD | 2,000 | 7,000 |
Chad | TCD | 2,005 | 7,200 |
Chad | TCD | 2,010 | 8,100 |
Chad | TCD | 2,015 | 7,800 |
Comoros | COM | 1,990 | 200 |
Comoros | COM | 1,995 | 200 |
Comoros | COM | 2,000 | 200 |
Comoros | COM | 2,005 | 100 |
Comoros | COM | 2,010 | 100 |
Comoros | COM | 2,015 | 100 |
Congo | COG | 1,990 | 1,800 |
Congo | COG | 1,995 | 2,100 |
Congo | COG | 2,000 | 2,400 |
Congo | COG | 2,005 | 2,100 |
Congo | COG | 2,010 | 2,100 |
Congo | COG | 2,015 | 2,400 |
Cote d'Ivoire | CIV | 1,990 | 6,100 |
Cote d'Ivoire | CIV | 1,995 | 8,000 |
Cote d'Ivoire | CIV | 2,000 | 8,700 |
Cote d'Ivoire | CIV | 2,005 | 7,700 |
Cote d'Ivoire | CIV | 2,010 | 7,800 |
Cote d'Ivoire | CIV | 2,015 | 7,700 |
Djibouti | DJI | 1,990 | 300 |
Djibouti | DJI | 1,995 | 300 |
Djibouti | DJI | 2,000 | 400 |
Djibouti | DJI | 2,005 | 400 |
Djibouti | DJI | 2,010 | 400 |
Djibouti | DJI | 2,015 | 400 |
Egypt | EGY | 1,990 | 52,300 |
Egypt | EGY | 1,995 | 47,600 |
Egypt | EGY | 2,000 | 43,100 |
Egypt | EGY | 2,005 | 48,300 |
Egypt | EGY | 2,010 | 57,400 |
Egypt | EGY | 2,015 | 60,200 |
Equatorial Guinea | GNQ | 1,990 | 400 |
Equatorial Guinea | GNQ | 1,995 | 400 |
Equatorial Guinea | GNQ | 2,000 | 400 |
Equatorial Guinea | GNQ | 2,005 | 300 |
Equatorial Guinea | GNQ | 2,010 | 300 |
Equatorial Guinea | GNQ | 2,015 | 400 |
Eritrea | ERI | 1,990 | 1,900 |
Eritrea | ERI | 1,995 | 1,400 |
Eritrea | ERI | 2,000 | 1,400 |
Eritrea | ERI | 2,005 | 1,600 |
Absolute Number Of Deaths From Ambient Particulate Air Pollution | Africa (Our World in Data)
🌍 308 observations · 52 Africa countries · 1990–2015 · Repackaged by Electric Sheep Africa
TL;DR
This dataset contains 308 observations of Absolute Number Of Deaths From Ambient Particulate Air Pollution data across 52 Africa countries, spanning 1990–2015.
About the source
- Source: Our World in Data
- Publisher: Our World in Data
- License: cc-by-4.0
- Topic: Absolute Number Of Deaths From Ambient Particulate Air Pollution
Geographic coverage
52 Africa countries · top rows shown below, sorted by row count:
| Country | Rows | First year | Last year |
|---|---|---|---|
AGO |
6 | 1990 | 2015 |
BDI |
6 | 1990 | 2015 |
BEN |
6 | 1990 | 2015 |
BFA |
6 | 1990 | 2015 |
BWA |
6 | 1990 | 2015 |
CAF |
6 | 1990 | 2015 |
CIV |
6 | 1990 | 2015 |
CMR |
6 | 1990 | 2015 |
COG |
6 | 1990 | 2015 |
COM |
6 | 1990 | 2015 |
CPV |
6 | 1990 | 2015 |
DJI |
6 | 1990 | 2015 |
DZA |
6 | 1990 | 2015 |
EGY |
6 | 1990 | 2015 |
ERI |
6 | 1990 | 2015 |
| ... | 37 more countries |
Schema
| Column | Type | Description | Example |
|---|---|---|---|
country_name |
string |
— | Algeria |
country_iso3 |
string |
— | DZA |
year |
int64 |
— | 1990 |
Absolute deaths from ambient PM2.5 air pollution- State of Global Air |
int64 |
— | 6800 |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-owid-absolute-number-of-deaths-from-ambient-particulate-air-pollution")
df = ds["train"].to_pandas()
print(df.head())
Filter to one country
kenya = df[df["country_iso3"] == "KEN"]
Time-series for a single indicator
sample = df.sort_values("year")
sample.plot(x="year", y="Absolute deaths from ambient PM2.5 air pollution- State of Global Air")
Citation
@misc{africa_owid_absolute_number_of_deaths_from_ambient_particulate_air_pollution_2015,
title = {Absolute Number Of Deaths From Ambient Particulate Air Pollution | Africa (Our World in Data)},
author = {Our World in Data},
year = {2015},
url = {https://ourworldindata.org/grapher/absolute-number-of-deaths-from-ambient-particulate-air-pollution},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-absolute-number-of-deaths-from-ambient-particulate-air-pollution}}
}
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 Africa repackaging.
About Electric Sheep
Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa 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/electricsheepafrica
Provenance: ingested 2026-06-01 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/absolute-number-of-deaths-from-ambient-particulate-air-pollution
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