electricsheepafrica/africa-fewsnet-staple-food-price-data-for-nigeria-weekly-282

Nigeria Weekly FEWS NET Staple Food Price Data

Publisher: FEWS NET · Source: HDX · License: cc-by · Updated: 2026-04-01

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Abstract

Nigeria Weekly staple food price data collected by FEWS NET since 2003.

Each row in this dataset represents country-level aggregates. Temporal coverage is indicated by the period_date column(s). Geographic scope: NGA.

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Food security and nutrition
Unit of observation	Country-level aggregates
Rows (total)	305,288
Columns	17 (3 numeric, 13 categorical, 1 datetime)
Train split	244,230 rows
Test split	61,057 rows
Geographic scope	NGA
Publisher	FEWS NET
HDX last updated	2026-04-01

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Variables

Geographic — country (Nigeria), admin_1 (Kaduna, Borno, Yobe), longitude (range 3.3958–13.265), latitude (range 4.812–13.7273), price_type (Retail, Wholesale) and 2 others.

Temporal — period_date.

Outcome / Measurement — value (range 1.0–799000.0).

Identifier / Metadata — source_document (Famine Early Warning Systems Network (FEWS NET), Nigeria, Price (weekly), Famine Early Warning Systems Network (FEWS NET), Nigeria, Livestock Price (weekly)), product_source (Local, Import), esa_source, esa_processed.

Other — market (Dandume, Ibadan, Bodija, Gombe), cpcv2 (R01122AC, R01142AD, R01709AC), product (Maize Grain (White), Sorghum (White), Cowpeas (White)), unit (kg, 100_kg, L).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-fewsnet-staple-food-price-data-for-nigeria-weekly-282")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
country	object	0.0%	Nigeria
market	object	0.0%	Dandume, Ibadan, Bodija, Gombe
admin_1	object	0.0%	Kaduna, Borno, Yobe
longitude	float64	0.0%	3.3958 – 13.265 (mean 8.5099)
latitude	float64	0.0%	4.812 – 13.7273 (mean 10.4386)
cpcv2	object	0.0%	R01122AC, R01142AD, R01709AC
product	object	0.0%	Maize Grain (White), Sorghum (White), Cowpeas (White)
source_document	object	0.0%	Famine Early Warning Systems Network (FEWS NET), Nigeria, Price (weekly), Famine Early Warning Systems Network (FEWS NET), Nigeria, Livestock Price (weekly)
period_date	datetime64[ns]	0.0%
price_type	object	0.0%	Retail, Wholesale
product_source	object	0.0%	Local, Import
unit	object	0.0%	kg, 100_kg, L
unit_type	object	0.0%	Weight, Volume, Item
currency	object	0.0%
value	float64	18.3%	1.0 – 799000.0 (mean 13108.5953)
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
longitude	3.3958	13.265	8.5099	8.5364
latitude	4.812	13.7273	10.4386	11.28
value	1.0	799000.0	13108.5953	528.63

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Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 1 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

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Limitations

• Data originates from FEWS NET and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_fewsnet_staple_food_price_data_for_nigeria_weekly_282,
  title     = {Nigeria Weekly FEWS NET Staple Food Price Data},
  author    = {FEWS NET},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/fewsnet_staple_food_price_data_for_nigeria_weekly_282},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.