Crop Production by District

Data as of 2022

Production of crops by district, broken down by crop type and species. The table shows a preview of the dataset using the first 100 rows only, as the full dataset is over 10,000 rows in size.

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How is this data produced?

Data on crops in Malaysia is collected via establishment-level surveys and censuses conducted by the Department of Statistics Malaysia (DOSM) in collaboration with the Department of Agriculture (DOA). This data is then used both for the production of agricultural statistics, as well as in the compilation of Malaysia's Gross Domestic Product (GDP) data.

For this dataset specifically, the following classifications are helpful to understand (note: paddy, coconut, and flowers are considered self-explanatory):

  • Cash crops are crops that can provide quick return (within 1 year) to farmers. They include sweet corn, groundnuts, cassava, yam, sweet potato and sugarcane (juice).
  • Industrial crops are crops grown to manufacture raw industrial materials. They are divided into several groups such as fats (coconut), and groups that produce fresheners (coffee and tea). Industrial crops are grown in large quantities with a relatively long period of planting, ranging from one year to many years.
  • Herbs refer to shrubs that usually have soft stems and contain plenty of water. This generally means all plants which have value to medicine, food (health and supplements), perfumes, fragrance and cosmetics.
  • Spices are aromatic crops used as coloring and flavoring for culinary purposes such as nutmeg and ginger.
  • Fruits and Vegetables refer specifically to the tropical species grown in Malaysia, which has an equatorial climate. Examples of tropical fruits are banana, mango, papaya, pineapple, durian, rambutan and jackfruit, while examples of tropical vegetables are spinach, okra, eggplant, water spinach, long beans, loofah and bitter gourd.

What caveats I should bear in mind when using this data?

Values for breakdowns may be slightly different to totals when summed, due to rounding.

Publication(s) using this data

This data was also published as part of the Ministry of Agriculture and Food Security's annual Agrofood Statistics report.

Metadata

Dataset description

Production of crops by district, broken down by crop type and species. The table shows a preview of the dataset using the first 100 rows only, as the full dataset is over 10,000 rows in size.

Variable definitions
  • Date
  • State
  • Administrative District
  • Crop Type
  • Crop Species
  • Production
Last updated:

31 Dec 2023, 12:00

Next update:

31 Dec 2024, 12:00

Data source(s)
  • MAFS
  • DOA
  • DOSM
License

This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.

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Data
Full Dataset (CSV)

Full Dataset (CSV)

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Full Dataset (Parquet)

Full Dataset (Parquet)

Recommended for data scientists seeking to work with data via code.

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Code

Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = 'https://storage.data.gov.my/agriculture/crops_district_production.parquet' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)

Sample OpenAPI query

The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.

import requests import pprint url = "https://api.data.gov.my/data-catalogue?id=crops_district_production&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)