Datasets:

electricsheepafrica
/

africa-faostat-food-prices-for-togo

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
  - tgo
pretty_name: Togo - Food Prices
dataset_info:
  splits:
    - name: train
      num_examples: 350
    - name: test
      num_examples: 87

Togo - Food Prices

Publisher: Food and Agriculture Organization (FAO) of the United Nations · Source: HDX · License: cc-by-igo · Updated: 2026-03-30

Abstract

Food Prices for Togo.

Contains data from the FAOSTAT bulk data service 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: TGO.

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)	438
Columns	17 (6 numeric, 9 categorical, 2 datetime)
Train split	350 rows
Test split	87 rows
Geographic scope	TGO
Publisher	Food and Agriculture Organization (FAO) of the United Nations
HDX last updated	2026-03-30

Variables

Geographic — iso3 (TGO), year_code (range 1970.0–2024.0), year (range 1970.0–2024.0).

Temporal — startdate, enddate.

Outcome / Measurement — value (range 5.1618–174.9819).

Identifier / Metadata — area_code (range 217.0–217.0), area_code_m49 ('768), item_code (range 22024.0–22028.0), element_code (range 6179.0–62250.0), esa_source (HDX) and 1 others.

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

Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-faostat-food-prices-for-togo")
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%	TGO
`startdate`	datetime64[ns]	0.0%
`enddate`	datetime64[ns]	0.0%
`area_code`	int64	0.0%	217.0 – 217.0 (mean 217.0)
`area_code_m49`	object	0.0%	'768
`area`	object	0.0%	Togo
`item_code`	int64	0.0%	22024.0 – 22028.0 (mean 22025.7397)
`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 34214.5)
`element`	object	0.0%	Value Standard Local Currency, 2015 prices, Value US$, 2015 prices
`year_code`	int64	0.0%	1970.0 – 2024.0 (mean 1996.8767)
`year`	int64	0.0%	1970.0 – 2024.0 (mean 1996.8767)
`unit`	object	0.0%	SLC, USD
`value`	float64	0.0%	5.1618 – 174.9819 (mean 71.14)
`flag`	object	0.0%	X, E
`esa_source`	object	0.0%	HDX
`esa_processed`	object	0.0%	2026-04-06

Numeric Summary

Column	Min	Max	Mean	Median
`area_code`	217.0	217.0	217.0	217.0
`item_code`	22024.0	22028.0	22025.7397	22025.0
`element_code`	6179.0	62250.0	34214.5	34214.5
`year_code`	1970.0	2024.0	1996.8767	1997.0
`year`	1970.0	2024.0	1996.8767	1997.0
`value`	5.1618	174.9819	71.14	72.3837

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 for the publisher's own methodology notes and caveats.

Citation

@dataset{hdx_africa_faostat_food_prices_for_togo,
  title     = {Togo - Food Prices},
  author    = {Food and Agriculture Organization (FAO) of the United Nations},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/faostat-food-prices-for-togo},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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