electricsheepafrica/africa-fewsnet-staple-food-price-data-for-chad-weekly-124

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- tabular-regression
- other
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- economics
- food-security
- indicators
- markets
- tcd
pretty_name: "Chad Weekly FEWS NET Staple Food Price Data"
dataset_info:
splits:
- name: train
num_examples: 55088
- name: test
num_examples: 13772
---

# Chad Weekly FEWS NET Staple Food Price Data

**Publisher:** FEWS NET · **Source:** [HDX](https://data.humdata.org/dataset/fewsnet_staple_food_price_data_for_chad_weekly_124) · **License:** `cc-by` · **Updated:** 2026-04-01

---

## Abstract

Chad Weekly staple food price data collected by FEWS NET since 2002.

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

*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)** | 68,861 |
| **Columns** | 18 (3 numeric, 14 categorical, 1 datetime) |
| **Train split** | 55,088 rows |
| **Test split** | 13,772 rows |
| **Geographic scope** | TCD |
| **Publisher** | FEWS NET |
| **HDX last updated** | 2026-04-01 |

---

## Variables

**Geographic** — `country` (Chad), `admin_1` (Kanem, N'Djamena, Ouaddai), `longitude` (range 14.7148–20.9267), `latitude` (range 8.5596–17.9287), `price_type` (Retail) and 2 others.

**Temporal** — `period_date`.

**Outcome / Measurement** — `value` (range 25.5–367968.0).

**Identifier / Metadata** — `fnid` (TD0000M010, TD0000M001, TD0000M004), `source_document` (Famine Early Warning Systems Network (FEWS NET), Chad, Price (weekly)), `product_source` (Local, Import), `esa_source`, `esa_processed`.

**Other** — `market` (N'Djamena, Abeche, Bongor), `cpcv2` (R01182AD, R01142AC, R01709AE), `product` (Millet (Pearl), Sorghum (Red), Cowpeas (Mixed)), `unit` (kg, ea, L).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-fewsnet-staple-food-price-data-for-chad-weekly-124")
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% | Chad |
| `fnid` | object | 0.0% | TD0000M010, TD0000M001, TD0000M004 |
| `market` | object | 0.0% | N'Djamena, Abeche, Bongor |
| `admin_1` | object | 0.0% | Kanem, N'Djamena, Ouaddai |
| `longitude` | float64 | 0.0% | 14.7148 – 20.9267 (mean 17.2839) |
| `latitude` | float64 | 0.0% | 8.5596 – 17.9287 (mean 12.1065) |
| `cpcv2` | object | 0.0% | R01182AD, R01142AC, R01709AE |
| `product` | object | 0.0% | Millet (Pearl), Sorghum (Red), Cowpeas (Mixed) |
| `source_document` | object | 0.0% | Famine Early Warning Systems Network (FEWS NET), Chad, Price (weekly) |
| `period_date` | datetime64[ns] | 0.0% | |
| `price_type` | object | 0.0% | Retail |
| `product_source` | object | 0.0% | Local, Import |
| `unit` | object | 0.0% | kg, ea, L |
| `unit_type` | object | 0.0% | |
| `currency` | object | 0.0% | |
| `value` | float64 | 5.8% | 25.5 – 367968.0 (mean 12892.3008) |
| `esa_source` | object | 0.0% | |
| `esa_processed` | object | 0.0% | |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `longitude` | 14.7148 | 20.9267 | 17.2839 | 16.493 |
| `latitude` | 8.5596 | 17.9287 | 12.1065 | 12.1867 |
| `value` | 25.5 | 367968.0 | 12892.3008 | 512.28 |

---

## 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.

---

## 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](https://data.humdata.org/dataset/fewsnet_staple_food_price_data_for_chad_weekly_124) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_fewsnet_staple_food_price_data_for_chad_weekly_124,
title = {Chad Weekly FEWS NET Staple Food Price Data},
author = {FEWS NET},
year = {2026},
url = {https://data.humdata.org/dataset/fewsnet_staple_food_price_data_for_chad_weekly_124},
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.*