electricsheepafrica/africa-fewsnet-staple-food-price-data-for-mauritania-weekly-1506

Mauritania Weekly FEWS NET Staple Food Price Data

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

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Abstract

Mauritania Weekly staple food price data collected by FEWS NET since 2002.

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

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)	61,061
Columns	17 (3 numeric, 13 categorical, 1 datetime)
Train split	48,848 rows
Test split	12,212 rows
Geographic scope	MRT
Publisher	FEWS NET
HDX last updated	2026-04-01

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Variables

Geographic — country (Mauritania), admin_1 (Brakna, Hodh ech Chargui, Adrar), longitude (range -17.0382–-7.0234), latitude (range 15.6651–20.9457), price_type (Retail) and 2 others.

Temporal — period_date.

Outcome / Measurement — value (range 1.0–75000.0).

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

Other — market (Adel Bagrou, Boghé, Magta-lahjar), cpcv2 (R01112AA, P23110AA, R01142AN), product (Wheat Grain, Wheat Flour, Sorghum (Taghalit, Mixed)), unit (kg, ea, 50_kg).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-fewsnet-staple-food-price-data-for-mauritania-weekly-1506")
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%	Mauritania
market	object	0.0%	Adel Bagrou, Boghé, Magta-lahjar
admin_1	object	0.0%	Brakna, Hodh ech Chargui, Adrar
longitude	float64	0.0%	-17.0382 – -7.0234 (mean -12.5862)
latitude	float64	0.0%	15.6651 – 20.9457 (mean 17.4155)
cpcv2	object	0.0%	R01112AA, P23110AA, R01142AN
product	object	0.0%	Wheat Grain, Wheat Flour, Sorghum (Taghalit, Mixed)
source_document	object	0.0%	Famine Early Warning Systems Network (FEWS NET), Mauritania, Price
period_date	datetime64[ns]	0.0%
price_type	object	0.0%	Retail
product_source	object	0.0%	Local, Import
unit	object	0.0%	kg, ea, 50_kg
unit_type	object	0.0%	Weight, Item, Volume
currency	object	0.0%
value	float64	28.2%	1.0 – 75000.0 (mean 2135.7188)
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
longitude	-17.0382	-7.0234	-12.5862	-13.0916
latitude	15.6651	20.9457	17.4155	16.6185
value	1.0	75000.0	2135.7188	73.29

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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.
• The following columns have >20% missing values and should be treated with caution in modelling: value.
• 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_mauritania_weekly_1506,
  title     = {Mauritania Weekly FEWS NET Staple Food Price Data},
  author    = {FEWS NET},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/fewsnet_staple_food_price_data_for_mauritania_weekly_1506},
  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.