electricsheepasia/asia-food-security-faostat-food-prices-for-kazakhstan
Kazakhstan - Food Prices Publisher: Food and Agriculture Organization (FAO) of the United Nations · Source: HDX · License: cc-by-igo · Updated: 2026-05-04 Abstract Food Prices for Kazakhstan. 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-food-security-faostat-food-prices-for-kazakhstan.
Kazakhstan - Food Prices
Publisher: Food and Agriculture Organization (FAO) of the United Nations · Source: HDX · License: cc-by-igo · Updated: 2026-05-04
Abstract
Food Prices for Kazakhstan.
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: KAZ.
Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).
Dataset Characteristics
Variables
Geographic — iso3 (KAZ), year_code (range 1990.0–2024.0), year (range 1990.0–2024.0).
Temporal — startdate, enddate.
Outcome / Measurement — value (range 0.0003–247.6567).
Identifier / Metadata — area_code (range 108.0–108.0), area_code_m49 ('398), item_code (range 22024.0–22028.0), element_code (range 6179.0–62250.0), esa_source (HDX) and 1 others.
Other — area (Kazakhstan), 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/asia-food-security-faostat-food-prices-for-kazakhstan")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()Schema
Numeric Summary
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_asia_food_security_faostat_food_prices_for_kazakhstan,
title = {Kazakhstan - Food Prices},
author = {Food and Agriculture Organization (FAO) of the United Nations},
year = {2026},
url = {https://data.humdata.org/dataset/faostat-food-prices-for-kazakhstan},
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.
