The table below provides a preview of the full dataset, which contains over a million prices. We recommend that you download and work with the data in a coding environment. This data should be used in conjuction with the Item Lookup and Premise Lookup tables.
Prices are collected and verified by groundstaff on a daily basis, with over 2 million prices collected every month.
This data is collected for the purpose of price surveillance, and is excellent for high-frequency analysis of specific items in specific locations. Inflation surveillance requires a different approach, in particular to ensure proper representativeness. Inflation analysis should be conducted using DOSM's CPI data.
PriceCatcher is a mobile app developed by the Ministry of Domestic Trade and Cost of Living (KPDNKSH, formerly KPDNHEP) to help users compare the prices of key items in their area. Prices are collected and verified by groundstaff on a daily basis, with over 2 million prices collected every month. This dataset makes that wealth of data available to you for analysis.
01 Oct 2022, 12:00
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.
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-pricecatcher/pricecatcher_2022-09.parquet' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)