Headline Wholesale & Retail Trade
Data as of Feb 2024Overall performance of the wholesale & retail trade subsectors, covering sales value and volume.
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How is this data produced?
Statistics on the wholesale and retail trade subsectors are produced using data collected through the Monthly Survey of Wholesale & Retail Trade. The data covers all establishments registered with relevant regulatory bodies which are engaged in wholesale and retail trade activities, and is reported based on the establishments' profit and loss accounts, financial statements, and other valid supporting documents. For a full description of the methodology, please refer to the Technical Notes.
What caveats I should bear in mind when using this data?
In cases where proper financial statements for an establishment are incomplete or unavailable, the data is reported based on the best available estimates.
Publication(s) using this data
Wholesale & Retail Trade, Feb 2024, the latest edition of the monthly wholesale and retail trade statistics published by DOSM. OpenDOSM also features a dashboard on wholesale and retail trade.
Metadata
Dataset description
Overall performance of the wholesale & retail trade subsectors, covering sales value and volume.
Variable definitions
- Series Type
- Date
- Sales Value
- Volume Index
- Volume Index (sa)
Name in Dataset | Variable | Definition |
|---|---|---|
series (String) | Series Type | Series type, either absolute values ('abs'), year-on-year growth ('growth_yoy') or month-on-month growth ('growth_mom') |
date (Date) | Date | The date in YYYY-MM-DD format, with DD set to 01 as the data is at monthly frequency |
sales (Float, RM mil) | Sales Value | The total sum paid by customers, in RM millions |
volume (Float) | Volume Index | Quantity of items sold, expressed as an index with base 2015 = 100 |
volume_sa (Float) | Volume Index (sa) | Quantity of items sold, expressed as a seasonally adjusted index with base 2015 = 100 |
Last updated:
08 Apr 2024, 12:00
Next update:
09 May 2024, 12:00
Data source(s)
- DOSM
URLs to dataset
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
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Full Dataset (Parquet)
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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.dosm.gov.my/iowrt/iowrt.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)Sample OpenAPI query
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=iowrt&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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