Williedaanalyst/wfp-nigeria-food-prices2

---
language:
- en
license: other
tags:
- food security
- economics
- markets
- wfp
- nigeria
- food prices
size_categories:
- 10K<n<100K
pretty_name: Nigeria - Food Prices
dataset_info:
features:
- name: date
dtype: timestamp[ns]
- name: admin1
dtype: string
- name: admin2
dtype: string
- name: market
dtype: string
- name: market_id
dtype: int64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: category
dtype: string
- name: commodity
dtype: string
- name: commodity_id
dtype: int64
- name: unit
dtype: string
- name: priceflag
dtype: string
- name: pricetype
dtype: string
- name: currency
dtype: string
- name: price
dtype: float64
- name: usdprice
dtype: float64
splits:
- name: train
num_bytes: 4000000
num_examples: 54883
---

# Nigeria - Food Prices

## Dataset Description

This dataset contains Food Prices data for Nigeria, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data.

**Source**: FEWSNET via FAO: GIEWS, FPMA, Nigeria, SIMA - Niger, WFP
**Contributor**: WFP - World Food Programme
**Reference Period**: 2002-01-15 to 2025-11-15

## Data Structure

The dataset consists of a single `train` split in Parquet format.

### Columns

- `date`: Date of the price observation
- `admin1`: Administrative Region Level 1 (State)
- `admin2`: Administrative Region Level 2 (LGA)
- `market`: Market name
- `market_id`: WFP Market ID
- `latitude`: Market latitude
- `longitude`: Market longitude
- `category`: Food category (e.g., cereals and tubers)
- `commodity`: Commodity name (e.g., Maize, Rice)
- `commodity_id`: WFP Commodity ID
- `unit`: Unit of measurement (e.g., KG, 100 KG)
- `priceflag`: Price flag (actual/aggregate)
- `pricetype`: Price type (Retail/Wholesale)
- `currency`: Currency code (NGN)
- `price`: Price in local currency
- `usdprice`: Price in USD

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("electricsheepafrica/wfp-nigeria-food-prices")
print(dataset['train'][0])
```

## Methodology

Data is collected through the WFP Registry system.

## Caveats

Although the frequency of updates is set to every month, updates may occur more or less frequently.