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country_iso3
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year
int64
2.01k
2.02k
Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)
float64
1.52
90.5
Algeria
DZA
2,011
33.286114
Algeria
DZA
2,014
50.475792
Algeria
DZA
2,017
42.776627
Algeria
DZA
2,021
44.097023
Algeria
DZA
2,024
35.290108
Angola
AGO
2,011
39.20354
Angola
AGO
2,014
29.318121
Benin
BEN
2,011
10.463937
Benin
BEN
2,014
16.620834
Benin
BEN
2,017
38.48922
Benin
BEN
2,021
48.60553
Benin
BEN
2,024
51.843204
Botswana
BWA
2,011
30.260014
Botswana
BWA
2,014
51.96457
Botswana
BWA
2,017
51.03245
Botswana
BWA
2,022
58.763195
Botswana
BWA
2,024
61.43847
Burkina Faso
BFA
2,011
13.353092
Burkina Faso
BFA
2,014
14.357596
Burkina Faso
BFA
2,017
43.159992
Burkina Faso
BFA
2,021
36.108536
Burkina Faso
BFA
2,024
51.42749
Burundi
BDI
2,011
7.237985
Burundi
BDI
2,014
7.105759
Cameroon
CMR
2,011
14.809612
Cameroon
CMR
2,014
12.177734
Cameroon
CMR
2,017
34.59079
Cameroon
CMR
2,021
51.65481
Cameroon
CMR
2,024
60.87379
Central African Republic
CAF
2,011
3.300809
Central African Republic
CAF
2,017
13.745947
Chad
TCD
2,011
8.959745
Chad
TCD
2,014
12.433345
Chad
TCD
2,017
21.759193
Chad
TCD
2,022
23.651333
Chad
TCD
2,024
20.89836
Comoros
COM
2,011
21.694674
Comoros
COM
2,022
34.25017
Comoros
COM
2,024
45.459396
Congo
COG
2,011
10.048057
Congo
COG
2,014
17.069597
Congo
COG
2,017
26.092749
Congo
COG
2,021
47.142155
Congo
COG
2,024
55.57604
Cote d'Ivoire
CIV
2,014
34.32202
Cote d'Ivoire
CIV
2,017
41.330956
Cote d'Ivoire
CIV
2,021
50.76229
Cote d'Ivoire
CIV
2,024
57.567627
Democratic Republic of Congo
COD
2,011
3.696726
Democratic Republic of Congo
COD
2,014
17.476984
Democratic Republic of Congo
COD
2,017
25.825676
Democratic Republic of Congo
COD
2,022
27.441132
Democratic Republic of Congo
COD
2,024
39.214012
Djibouti
DJI
2,011
12.273882
Egypt
EGY
2,011
9.71998
Egypt
EGY
2,014
14.126797
Egypt
EGY
2,017
32.78436
Egypt
EGY
2,021
27.444006
Egypt
EGY
2,024
43.113438
Eswatini
SWZ
2,011
28.56944
Eswatini
SWZ
2,022
66.175804
Eswatini
SWZ
2,024
65.11603
Ethiopia
ETH
2,014
21.791582
Ethiopia
ETH
2,017
34.827568
Ethiopia
ETH
2,022
46.48007
Ethiopia
ETH
2,024
48.830276
Gabon
GAB
2,011
18.946518
Gabon
GAB
2,014
33.014183
Gabon
GAB
2,017
58.601997
Gabon
GAB
2,021
66.08997
Gabon
GAB
2,024
68.18126
Gambia
GMB
2,017
28.560482
Gambia
GMB
2,022
33.011017
Gambia
GMB
2,024
38.160904
Ghana
GHA
2,011
29.425354
Ghana
GHA
2,014
40.505795
Ghana
GHA
2,017
57.717525
Ghana
GHA
2,021
68.23039
Ghana
GHA
2,024
81.24303
Guinea
GIN
2,011
3.68785
Guinea
GIN
2,014
6.960017
Guinea
GIN
2,017
23.486034
Guinea
GIN
2,021
30.440336
Guinea
GIN
2,024
36.048023
Kenya
KEN
2,011
42.343456
Kenya
KEN
2,014
74.65783
Kenya
KEN
2,017
81.567566
Kenya
KEN
2,021
79.19516
Kenya
KEN
2,024
90.11992
Lesotho
LSO
2,011
18.497025
Lesotho
LSO
2,017
45.563816
Lesotho
LSO
2,022
63.63491
Lesotho
LSO
2,024
61.571045
Liberia
LBR
2,011
18.801466
Liberia
LBR
2,017
35.71384
Liberia
LBR
2,021
51.631145
Liberia
LBR
2,024
52.213932
Libya
LBY
2,017
65.66752
Libya
LBY
2,024
33.11909
Madagascar
MDG
2,011
5.523222
End of preview. Expand in Data Studio

Account At Financial Institution | Africa (Our World in Data)

🌍 195 observations · 48 Africa countries · 2011–2024 · Repackaged by Electric Sheep Africa

rows countries years license

TL;DR

This dataset contains 195 observations of Account At Financial Institution data across 48 Africa countries, spanning 2011–2024.

About the source

Geographic coverage

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

Country Rows First year Last year
BFA 5 2011 2024
BEN 5 2011 2024
CMR 5 2011 2024
BWA 5 2011 2024
DZA 5 2011 2024
EGY 5 2011 2024
COG 5 2011 2024
COD 5 2011 2024
GAB 5 2011 2024
MLI 5 2011 2024
MRT 5 2011 2024
MUS 5 2011 2024
NER 5 2011 2024
KEN 5 2011 2024
GIN 5 2011 2024
... 33 more countries

Schema

Column Type Description Example
country_name string Algeria
country_iso3 string DZA
year int64 2011
Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) float64 33.286114

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-owid-account-at-financial-institution")
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="Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)")

Citation

@misc{africa_owid_account_at_financial_institution_2024,
  title        = {Account At Financial Institution | Africa (Our World in Data)},
  author       = {Our World in Data},
  year         = {2024},
  url          = {https://ourworldindata.org/grapher/account-at-financial-institution},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-owid-account-at-financial-institution}}
}

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/account-at-financial-institution

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