Dataset Viewer
Auto-converted to Parquet Duplicate
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
End of preview. Expand in Data Studio

Absolute Number Of Deaths From Ambient Particulate Air Pollution | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)

Size category: n<1K - Formats: parquet - Sector: climate_environment - Engineered by Electric Sheep Africa

size sector downloads license

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.

Dataset context from the existing Hugging Face card: 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-absolute-number-of-deaths-from-ambient-particulate-air-pollution.

Dataset Profile

Field Value
Hugging Face repo electricsheepafrica/africa-owid-absolute-number-of-deaths-from-ambient-particulate-air-pollution
Sector climate_environment
Topic tags tabular, our-world-in-data, absolute-number-of-deaths-from-ambient-particulate-air-pollution, owid, long-run-series, time-series
Modalities tabular, text
Formats parquet
Size category n<1K
Countries Africa-wide or source-defined African coverage
ISO3 coverage not declared
Last modified on HF 2026-06-01 18:30:48+00:00
Inventory snapshot 2026-07-16T16:00:34Z

How To Read This Dataset

  • Start from the repository files and the dataset viewer when available.
  • Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
  • Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
  • Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-absolute-number-of-deaths-from-ambient-particulate-air-pollution")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

  • This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
  • Exact schema, row counts, and source files should be inspected in the repository data files.
  • Metadata gaps from the inventory: country, upstream_publisher.
  • Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Suggested Analyses

  • Inspect schema and missingness before modeling.
  • Profile variables by geography, time, and subgroup columns where present.
  • Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
  • Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_africa_owid_absolute_number_of_deaths_from_ambient_particulate_air_pollution_2026,
  title        = {Absolute Number Of Deaths From Ambient Particulate Air Pollution | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-owid-absolute-number-of-deaths-from-ambient-particulate-air-pollution},
  publisher    = {Hugging Face Datasets, engineered 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 source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

Downloads last month
19