Datasets:

electricsheepafrica
/

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

annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - en
license: cc-by-4.0
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - tabular-regression
  - other
task_ids: []
tags:
  - africa
  - humanitarian
  - hdx
  - electric-sheep-africa
  - eastern-africa
  - economics
  - food-security
  - indicators
  - markets
  - dji
pretty_name: Djibouti Weekly FEWS NET Staple Food Price Data
dataset_info:
  splits:
    - name: train
      num_examples: 852
    - name: test
      num_examples: 213

Djibouti Weekly FEWS NET Staple Food Price Data

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

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.

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

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).

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()

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%

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

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.

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.

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)}
}

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