electricsheepafrica/africa-wfp-food-prices-for-cote-divoire

---
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-classification
- tabular-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- food-security
- health
- hxl
- nutrition
- socioeconomics
- civ
pretty_name: "Cote d'Ivoire - Food Prices"
dataset_info:
splits:
- name: train
num_examples: 4101
- name: test
num_examples: 1025
---

# Cote d'Ivoire - Food Prices

**Publisher:** WFP - World Food Programme · **Source:** [HDX](https://data.humdata.org/dataset/wfp-food-prices-for-cote-divoire) · **License:** `cc-by-igo` · **Updated:** 2024-09-13

---

## Abstract

This dataset contains Food Prices data for Cote d'Ivoire. Food prices data comes from the World Food Programme and covers foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

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

*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Food security and nutrition |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 5,127 |
| **Columns** | 18 (7 numeric, 10 categorical, 1 datetime) |
| **Train split** | 4,101 rows |
| **Test split** | 1,025 rows |
| **Geographic scope** | CIV |
| **Publisher** | WFP - World Food Programme |
| **HDX last updated** | 2024-09-13 |

---

## Variables

**Geographic** — `category` (cereals and tubers, meat, fish and eggs, pulses and nuts), `currency` (XOF, #currency), `country` (Cote d'Ivoire, #country+name).

**Temporal** — `date`.

**Outcome / Measurement** — `price` (range 35.0–3550.0).

**Identifier / Metadata** — `cmname` (Maize - Retail, Rice (denikassia, imported) - Retail, Rice (local) - Retail), `admname` (Montagnes, Vallee Du Bandama, Denguele), `adm1id` (range 1041.0–40692.0), `mktname` (Man, Guiglo, Bouake), `mktid` (range 125.0–1807.0) and 6 others.

**Other** — `unit` (KG, L, #item+unit), `sn` (127_51_15_5, 127_70_15_5, 127_71_15_5).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-wfp-food-prices-for-cote-divoire")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()
```

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `date` | datetime64[ns] | 0.0% | |
| `cmname` | object | 0.0% | Maize - Retail, Rice (denikassia, imported) - Retail, Rice (local) - Retail |
| `unit` | object | 0.0% | KG, L, #item+unit |
| `category` | object | 0.0% | cereals and tubers, meat, fish and eggs, pulses and nuts |
| `price` | float64 | 0.0% | 35.0 – 3550.0 (mean 708.7705) |
| `currency` | object | 0.0% | XOF, #currency |
| `country` | object | 0.0% | Cote d'Ivoire, #country+name |
| `admname` | object | 16.6% | Montagnes, Vallee Du Bandama, Denguele |
| `adm1id` | float64 | 0.0% | 1041.0 – 40692.0 (mean 20650.8701) |
| `mktname` | object | 0.0% | Man, Guiglo, Bouake |
| `mktid` | float64 | 0.0% | 125.0 – 1807.0 (mean 473.2444) |
| `cmid` | float64 | 0.0% | 51.0 – 488.0 (mean 125.8625) |
| `ptid` | float64 | 0.0% | 15.0 – 15.0 (mean 15.0) |
| `umid` | float64 | 0.0% | 5.0 – 15.0 (mean 5.6184) |
| `catid` | float64 | 0.0% | 1.0 – 8.0 (mean 2.1137) |
| `sn` | object | 0.0% | 127_51_15_5, 127_70_15_5, 127_71_15_5 |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-07 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `price` | 35.0 | 3550.0 | 708.7705 | 363.0 |
| `adm1id` | 1041.0 | 40692.0 | 20650.8701 | 16843.0 |
| `mktid` | 125.0 | 1807.0 | 473.2444 | 127.0 |
| `cmid` | 51.0 | 488.0 | 125.8625 | 72.0 |
| `ptid` | 15.0 | 15.0 | 15.0 | 15.0 |
| `umid` | 5.0 | 15.0 | 5.6184 | 5.0 |
| `catid` | 1.0 | 8.0 | 2.1137 | 1.0 |

---

## 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: `default`. 5 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 WFP - World Food Programme 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](https://data.humdata.org/dataset/wfp-food-prices-for-cote-divoire) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_wfp_food_prices_for_cote_divoire,
title = {Cote d'Ivoire - Food Prices},
author = {WFP - World Food Programme},
year = {2024},
url = {https://data.humdata.org/dataset/wfp-food-prices-for-cote-divoire},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
```

---

*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*