electricsheepafrica/africa-fewsnet-staple-food-price-data-for-djibouti-weekly-269

Djibouti Weekly FEWS NET Staple Food Price Data

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

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Abstract

Djibouti Weekly staple food price data collected by FEWS NET since 2004.

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

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)	1,065
Columns	17 (3 numeric, 13 categorical, 1 datetime)
Train split	852 rows
Test split	213 rows
Geographic scope	DJI
Publisher	FEWS NET
HDX last updated	2026-04-01

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Variables

Geographic — country (Djibouti), longitude (range 43.1485–43.1485), latitude (range 11.59–11.59), price_type (Retail), unit_type (Weight, Volume) and 1 others.

Temporal — period_date.

Outcome / Measurement — value (range 80.0–405.0).

Identifier / Metadata — fnid (DJ0000M005), source_document (Famine Early Warning Systems Network (FEWS NET), Djibouti, Price), product_source (Local, Import), esa_source, esa_processed.

Other — market (Djibouti City), cpcv2 (P33341AA, P23161AA, P23110AA), product (Kerosene, Rice (Milled), Wheat Flour), unit (kg, L).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-fewsnet-staple-food-price-data-for-djibouti-weekly-269")
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%	Djibouti
fnid	object	0.0%	DJ0000M005
market	object	0.0%	Djibouti City
longitude	float64	0.0%	43.1485 – 43.1485 (mean 43.1485)
latitude	float64	0.0%	11.59 – 11.59 (mean 11.59)
cpcv2	object	0.0%	P33341AA, P23161AA, P23110AA
product	object	0.0%	Kerosene, Rice (Milled), Wheat Flour
source_document	object	0.0%	Famine Early Warning Systems Network (FEWS NET), Djibouti, 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, L
unit_type	object	0.0%	Weight, Volume
currency	object	0.0%
value	float64	5.2%	80.0 – 405.0 (mean 148.407)
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
longitude	43.1485	43.1485	43.1485	43.1485
latitude	11.59	11.59	11.59	11.59
value	80.0	405.0	148.407	140.0

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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) with >80% missing values were removed: admin_1. 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_djibouti_weekly_269,
  title     = {Djibouti Weekly FEWS NET Staple Food Price Data},
  author    = {FEWS NET},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/fewsnet_staple_food_price_data_for_djibouti_weekly_269},
  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.