electricsheepafrica/africa-worldbank-inflation-consumer-prices-annual-fp-cpi-totl-zg

Inflation, consumer prices (annual %) | Africa (World Bank — Gender Statistics)

🌍 2,413 observations · 52 Africa countries · 1960–2024 · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 2,413 observations of Gender Statistics data across 52 Africa countries, spanning 1960–2024, covering 1 distinct indicators.

About the source

• Source: World Bank — Gender Statistics
• Publisher: World Bank
• License: cc-by-4.0
• Topic: Gender Statistics

Geographic coverage

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

Country	Rows	First year	Last year
BFA	65	1960	2024
EGY	65	1960	2024
MAR	65	1960	2024
KEN	65	1960	2024
ZAF	65	1960	2024
NGA	65	1960	2024
CIV	64	1961	2024
SDN	63	1960	2022
GMB	63	1962	2024
GAB	62	1963	2024
MUS	61	1964	2024
NER	61	1964	2024
LBY	60	1965	2024
GHA	60	1965	2024
MDG	60	1965	2024
...	37 more countries

Indicators (sample)

• FP.CPI.TOTL.ZG — Inflation, consumer prices (annual %)

Schema

Column	Type	Description	Example
indicator_id	string	—	FP.CPI.TOTL.ZG
indicator_name	string	—	Inflation, consumer prices (annual %)
country_iso3	string	—	DZA
country_name	string	—	Algeria
year	int64	—	2024
value	float64	—	4.04611455313434

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-worldbank-inflation-consumer-prices-annual-fp-cpi-totl-zg")
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[df["indicator_id"] == "FP.CPI.TOTL.ZG"]
          .sort_values("year"))
sample.plot(x="year", y="value", title="FP.CPI.TOTL.ZG")

Pivot to country × year matrix

matrix = (df[df["indicator_id"] == "FP.CPI.TOTL.ZG"]
          .pivot_table(index="year", columns="country_iso3", values="value"))
print(matrix.tail())

Citation

@misc{africa_worldbank_inflation_consumer_prices_annual_fp_cpi_totl_zg_2024,
  title        = {Inflation, consumer prices (annual %) | Africa (World Bank — Gender Statistics)},
  author       = {World Bank},
  year         = {2024},
  url          = {https://databank.worldbank.org/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-worldbank-inflation-consumer-prices-annual-fp-cpi-totl-zg}}
}

License

Released under cc-by-4.0.

Original data © World Bank. 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

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Provenance: ingested 2026-06-17 via the Electric Sheep pipeline. Source URL: https://databank.worldbank.org/