electricsheepafrica/africa-fewsnet-staple-food-price-data-for-ethiopia-weekly-6041

Ethiopia Weekly FEWS NET Staple Food Price Data

Publisher: FEWS NET · Source: HDX · License: cc-by · Updated: 2026-03-28

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Abstract

Ethiopia Weekly staple food price data collected by FEWS NET since 2019.

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

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)	106,163
Columns	17 (3 numeric, 13 categorical, 1 datetime)
Train split	84,930 rows
Test split	21,232 rows
Geographic scope	ETH
Publisher	FEWS NET
HDX last updated	2026-03-28

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Variables

Geographic — country (Ethiopia), admin_1 (Oromia, Somali, South Ethiopia), longitude (range 34.3515–45.3418), latitude (range 4.8934–14.0605), price_type (Retail, Wage) and 2 others.

Temporal — period_date.

Outcome / Measurement — value (range 1.0–324202.8).

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

Other — market (Addis Ababa, Merkato, Nazareth, Adama, Bahir Dar), cpcv2 (P23520AA, R01701BD, R01122AC), product (Refined sugar, Beans (Haricot), Maize Grain (White)), unit (kg, ea, L).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-fewsnet-staple-food-price-data-for-ethiopia-weekly-6041")
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%	Ethiopia
market	object	0.0%	Addis Ababa, Merkato, Nazareth, Adama, Bahir Dar
admin_1	object	0.0%	Oromia, Somali, South Ethiopia
longitude	float64	0.0%	34.3515 – 45.3418 (mean 39.5143)
latitude	float64	0.0%	4.8934 – 14.0605 (mean 8.7939)
cpcv2	object	0.0%	P23520AA, R01701BD, R01122AC
product	object	0.0%	Refined sugar, Beans (Haricot), Maize Grain (White)
source_document	object	0.0%	Famine Early Warning Systems Network (FEWS NET), Ethiopia, Price (weekly)
period_date	datetime64[ns]	0.0%
price_type	object	0.0%	Retail, Wage
product_source	object	0.0%	Local, Import
unit	object	0.0%	kg, ea, L
unit_type	object	0.0%	Weight, Item, Volume
currency	object	0.0%
value	float64	24.5%	1.0 – 324202.8 (mean 2096.4237)
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
longitude	34.3515	45.3418	39.5143	39.0367
latitude	4.8934	14.0605	8.7939	8.541
value	1.0	324202.8	2096.4237	65.8

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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_ethiopia_weekly_6041,
  title     = {Ethiopia Weekly FEWS NET Staple Food Price Data},
  author    = {FEWS NET},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/fewsnet_staple_food_price_data_for_ethiopia_weekly_6041},
  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.