OpenDOSM
CPI by State: Pahang
Data as of 30 Apr 2023, 23:59Index with base 2010 = 100, showing the CPI value for Pahang by category of consumption.
How is this data produced?
The index is compiled based on the average price change for goods and services collected according to price collection centers in the state.
What caveats I should bear in mind when using this data?
This index is compiled based on Classification of Individual Consumption According to Purpose (COICOP).
Publication(s) using this data
Consumer Price Index, April 2023, the latest edition of the monthly consumer price statistics published by DOSM. OpenDOSM also features a dashboard on consumer prices.
Metadata
Dataset description
Malaysia's Consumer Price Index (CPI) is a monthly publication which presents statistics covering 12 main groups of goods and services. This is consistent with the classification according to the United Nations "Classification of Individual Consumption According to Purpose (COICOP)".
Variable definitions
- CPI by State: Pahang
- Date
- Category
- CPI by State: Johor
- CPI by State: Kedah
- CPI by State: Kelantan
- CPI by State: Melaka
- CPI by State: Negeri Sembilan
- CPI by State: Perak
- CPI by State: Perlis
- CPI by State: Pulau Pinang
- CPI by State: Sabah
- CPI by State: Sarawak
- CPI by State: Selangor
- CPI by State: Terengganu
- CPI by State: W.P. Kuala Lumpur
- CPI by State: W.P. Labuan
- CPI by State: W.P. Putrajaya
Last updated
26 May 2023, 12:00
Next update
23 Jun 2023, 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 human-readable copy of the license is available Here.
Download
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.googleapis.com/dosm-public-economy/cpi_state.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)Department of Statistics Malaysia
© 2023 Department of Statistics Malaysia (DOSM)