electricsheepafrica/africa-faostat-food-prices-for-sudan

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- tabular-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- food-security
- indicators
- sdn
pretty_name: "Sudan - Food Prices"
dataset_info:
splits:
- name: train
num_examples: 228
- name: test
num_examples: 57
---

# Sudan - Food Prices

**Publisher:** Food and Agriculture Organization (FAO) of the United Nations · **Source:** [HDX](https://data.humdata.org/dataset/faostat-food-prices-for-sudan) · **License:** `cc-by-igo` · **Updated:** 2026-04-06

---

## Abstract

Food Prices for Sudan.

Contains data from the FAOSTAT [bulk data service](https://fenixservices.fao.org/faostat/static/bulkdownloads/datasets_E.json) covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices

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

*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)** | 286 |
| **Columns** | 17 (6 numeric, 9 categorical, 2 datetime) |
| **Train split** | 228 rows |
| **Test split** | 57 rows |
| **Geographic scope** | SDN |
| **Publisher** | Food and Agriculture Organization (FAO) of the United Nations |
| **HDX last updated** | 2026-04-06 |

---

## Variables

**Geographic** — `iso3` (SDN), `year_code` (range 1970.0–2024.0), `year` (range 1970.0–2024.0).

**Temporal** — `startdate`, `enddate`.

**Outcome / Measurement** — `value` (range 7.1853–77649.2713).

**Identifier / Metadata** — `area_code` (range 206.0–276.0), `area_code_m49` ('736, '729), `item_code` (range 22024.0–22028.0), `element_code` (range 6179.0–62250.0), `esa_source` (HDX) and 1 others.

**Other** — `area` (Sudan (former), Sudan), `item` (GDP Deflator, Gross Fixed Capital Formation Deflator, Value Added Deflator (Agriculture, forestry and fishery)), `element` (Value US$, 2015 prices, Value Standard Local Currency, 2015 prices), `unit` (USD, SLC), `flag` (X, E).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-faostat-food-prices-for-sudan")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `iso3` | object | 0.0% | SDN |
| `startdate` | datetime64[ns] | 0.0% | |
| `enddate` | datetime64[ns] | 0.0% | |
| `area_code` | int64 | 0.0% | 206.0 – 276.0 (mean 238.7972) |
| `area_code_m49` | object | 0.0% | '736, '729 |
| `area` | object | 0.0% | Sudan (former), Sudan |
| `item_code` | int64 | 0.0% | 22024.0 – 22028.0 (mean 22025.7343) |
| `item` | object | 0.0% | GDP Deflator, Gross Fixed Capital Formation Deflator, Value Added Deflator (Agriculture, forestry and fishery) |
| `element_code` | int64 | 0.0% | 6179.0 – 62250.0 (mean 19314.514) |
| `element` | object | 0.0% | Value US$, 2015 prices, Value Standard Local Currency, 2015 prices |
| `year_code` | int64 | 0.0% | 1970.0 – 2024.0 (mean 2001.3287) |
| `year` | int64 | 0.0% | 1970.0 – 2024.0 (mean 2001.3287) |
| `unit` | object | 0.0% | USD, SLC |
| `value` | float64 | 0.0% | 7.1853 – 77649.2713 (mean 730.7651) |
| `flag` | object | 0.0% | X, E |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-07 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `area_code` | 206.0 | 276.0 | 238.7972 | 206.0 |
| `item_code` | 22024.0 | 22028.0 | 22025.7343 | 22025.0 |
| `element_code` | 6179.0 | 62250.0 | 19314.514 | 6179.0 |
| `year_code` | 1970.0 | 2024.0 | 2001.3287 | 2005.0 |
| `year` | 1970.0 | 2024.0 | 2001.3287 | 2005.0 |
| `value` | 7.1853 | 77649.2713 | 730.7651 | 64.4658 |

---

## 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`. 2 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 Food and Agriculture Organization (FAO) of the United Nations 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/faostat-food-prices-for-sudan) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_faostat_food_prices_for_sudan,
title = {Sudan - Food Prices},
author = {Food and Agriculture Organization (FAO) of the United Nations},
year = {2026},
url = {https://data.humdata.org/dataset/faostat-food-prices-for-sudan},
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.*