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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.

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Dataset Card

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

DomainFood security and nutrition
Unit of observationCountry-level aggregates
Rows (total)278
Columns17 (6 numeric, 9 categorical, 2 datetime)
Train split222 rows
Test split55 rows
Geographic scopeKAZ
PublisherFood and Agriculture Organization (FAO) of the United Nations
HDX last updated2026-05-04

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

python
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

ColumnTypeNull %Range / Sample Values
iso3object0.0%KAZ
startdatedatetime64[ns]0.0%
enddatedatetime64[ns]0.0%
area_codeint640.0%108.0 – 108.0 (mean 108.0)
area_code_m49object0.0%'398
areaobject0.0%Kazakhstan
item_codeint640.0%22024.0 – 22028.0 (mean 22025.7338)
itemobject0.0%GDP Deflator, Gross Fixed Capital Formation Deflator, Value Added Deflator (Agriculture, forestry and fishery)
element_codeint640.0%6179.0 – 62250.0 (mean 34214.5)
elementobject0.0%Value Standard Local Currency, 2015 prices, Value US$, 2015 prices
year_codeint640.0%1990.0 – 2024.0 (mean 2006.8777)
yearint640.0%1990.0 – 2024.0 (mean 2006.8777)
unitobject0.0%SLC, USD
valuefloat640.0%0.0003 – 247.6567 (mean 71.0561)
flagobject0.0%X, E
esa_sourceobject0.0%HDX
esa_processedobject0.0%2026-05-05

Numeric Summary

ColumnMinMaxMeanMedian
area_code108.0108.0108.0108.0
item_code22024.022028.022025.733822025.0
element_code6179.062250.034214.534214.5
year_code1990.02024.02006.87772007.0
year1990.02024.02006.87772007.0
value0.0003247.656771.056161.0626

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

bibtex
@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.