Datasets:

electricsheepafrica
/

africa-owid-air-trips-per-capita

country_name string	country_iso3 string	year int64	Air travel trips per capita float64
Algeria	DZA	2,018	0.18
Algeria	DZA	2,019	0.19
Angola	AGO	2,018	0.04
Angola	AGO	2,019	0.04
Benin	BEN	2,018	0.02
Benin	BEN	2,019	0.02
Botswana	BWA	2,018	0.16
Botswana	BWA	2,019	0.17
Burkina Faso	BFA	2,018	0.01
Burkina Faso	BFA	2,019	0.01
Burundi	BDI	2,018	0.01
Burundi	BDI	2,019	0.01
Cameroon	CMR	2,018	0.03
Cameroon	CMR	2,019	0.03
Cape Verde	CPV	2,018	1.35
Cape Verde	CPV	2,019	1.4
Central African Republic	CAF	2,018	0.02
Central African Republic	CAF	2,019	0.02
Chad	TCD	2,018	0.01
Chad	TCD	2,019	0.01
Comoros	COM	2,018	0.17
Comoros	COM	2,019	0.17
Congo	COG	2,018	0.1
Congo	COG	2,019	0.1
Cote d'Ivoire	CIV	2,018	0.04
Cote d'Ivoire	CIV	2,019	0.04
Democratic Republic of Congo	COD	2,018	0.01
Democratic Republic of Congo	COD	2,019	0.01
Djibouti	DJI	2,018	0.22
Djibouti	DJI	2,019	0.23
Egypt	EGY	2,018	0.15
Egypt	EGY	2,019	0.16
Equatorial Guinea	GNQ	2,018	0.16
Equatorial Guinea	GNQ	2,019	0.16
Eritrea	ERI	2,018	0.04
Eritrea	ERI	2,019	0.04
Eswatini	SWZ	2,018	0.03
Eswatini	SWZ	2,019	0.03
Ethiopia	ETH	2,018	0.03
Ethiopia	ETH	2,019	0.03
Gabon	GAB	2,018	0.31
Gabon	GAB	2,019	0.32
Gambia	GMB	2,018	0.06
Gambia	GMB	2,019	0.06
Ghana	GHA	2,018	0.04
Ghana	GHA	2,019	0.05
Guinea	GIN	2,018	0.02
Guinea	GIN	2,019	0.02
Guinea-Bissau	GNB	2,018	0.04
Guinea-Bissau	GNB	2,019	0.04
Kenya	KEN	2,018	0.1
Kenya	KEN	2,019	0.11
Lesotho	LSO	2,018	0.02
Lesotho	LSO	2,019	0.02
Liberia	LBR	2,018	0.02
Liberia	LBR	2,019	0.02
Libya	LBY	2,018	0.15
Libya	LBY	2,019	0.17
Madagascar	MDG	2,018	0.06
Madagascar	MDG	2,019	0.06
Malawi	MWI	2,018	0.01
Malawi	MWI	2,019	0.01
Mali	MLI	2,018	0.02
Mali	MLI	2,019	0.02
Mauritania	MRT	2,018	0.04
Mauritania	MRT	2,019	0.04
Mauritius	MUS	2,018	1.28
Mauritius	MUS	2,019	1.36
Morocco	MAR	2,018	0.28
Morocco	MAR	2,019	0.29
Mozambique	MOZ	2,018	0.03
Mozambique	MOZ	2,019	0.03
Niger	NER	2,018	0.01
Niger	NER	2,019	0.01
Nigeria	NGA	2,018	0.03
Nigeria	NGA	2,019	0.03
Rwanda	RWA	2,018	0.03
Rwanda	RWA	2,019	0.04
Sao Tome and Principe	STP	2,018	0.38
Sao Tome and Principe	STP	2,019	0.39
Senegal	SEN	2,018	0
Senegal	SEN	2,019	0
Seychelles	SYC	2,018	6.82
Seychelles	SYC	2,019	7.2

Air Trips Per Capita | Africa (Our World in Data)

🌍 106 observations · 53 Africa countries · 2018–2019 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 106 observations of Air Trips Per Capita data across 53 Africa countries, spanning 2018–2019.

About the source

Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Air Trips Per Capita

Geographic coverage

53 Africa countries · top rows shown below, sorted by row count:

Country	Rows	First year	Last year
`AGO`	2	2018	2019
`BDI`	2	2018	2019
`BEN`	2	2018	2019
`BFA`	2	2018	2019
`BWA`	2	2018	2019
`CAF`	2	2018	2019
`CIV`	2	2018	2019
`CMR`	2	2018	2019
`COD`	2	2018	2019
`COG`	2	2018	2019
`COM`	2	2018	2019
`CPV`	2	2018	2019
`DJI`	2	2018	2019
`DZA`	2	2018	2019
`EGY`	2	2018	2019
...	38 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Algeria`
`country_iso3`	`string`	—	`DZA`
`year`	`int64`	—	`2018`
`Air travel trips per capita`	`float64`	—	`0.18`

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-air-trips-per-capita")
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="Air travel trips per capita")

Citation

@misc{africa_owid_air_trips_per_capita_2019,
  title        = {Air Trips Per Capita | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2019},
  url          = {https://ourworldindata.org/grapher/air-trips-per-capita},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-air-trips-per-capita}}
}

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/air-trips-per-capita

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