Get the Gross Domestic Product Deflator for a variety of countries over time from the Global Macro Database (GMDB). The GDP deflator is a measure of the price of all domestically produced final goods and services in an economy relative to the price level in a base year which can vary per country.

The deflator is an index, set to 100 in the base year, which can vary per country, and is annual.

Data comes from the Global Macro Database (GMDB), further information about the variable can be found within https://www.globalmacrodata.com/documentation.html

Also known as: GDP deflator, implicit price deflator.

No programming experience? With the Finance Toolkit MCP server, AI assistants such as Claude and ChatGPT can calculate the GDP Deflator for you. Just ask in plain English.

Calculate the GDP Deflator in Python

The GDP Deflator is available in the Economics module of the open-source Finance Toolkit. Install it with:

pip install financetoolkit -U

Then call get_gross_domestic_product_deflator as shown below.

from financetoolkit import Economics

economics = Economics(start_date='2015-01-01')

economics.get_gross_domestic_product_deflator(countries=['United States', 'Canada', 'Russian Federation'])

Which returns:

  United States Canada Russian Federation
2015 97.3159 96.7993 67.6025
2016 98.2406 97.4935 69.5253
2017 100 100 73.2441
2018 102.291 101.651 80.5677
2019 103.979 103.223 83.1968
2020 105.361 104.328 83.9441
2021 110.172 112.325 100
2022 118.026 120.922 115.743
2023 122.273 122.778 123.871
2024 125.195 126.443 136.148
2025 127.469 129.463 142.557

Parameters

get_gross_domestic_product_deflator accepts the following parameters:

  • countries (list[str] | str | None, optional): A list of countries or a single country to include in the results. Defaults to None.
  • rolling (int, optional): The rolling window size to use for smoothing the data (simple moving average). Defaults to None.
  • trailing (int, optional): The trailing window size to use for summing the data over trailing periods (e.g. a trailing-4-quarter sum). Defaults to None.
  • growth (bool, optional): Whether to return the growth data or the actual data. Defaults to False.
  • lag (int, optional): The number of periods to lag the growth data. Defaults to 1.
  • standardize (bool, optional): Whether to standardize (Z-Score) the result. When combined with growth=True, standardizes the growth values instead of the raw values. Defaults to False.
  • rounding (int | None, optional): The number of decimals to round the results to. Defaults to None.
Gross Domestic Product (GDP) Total Consumption Consumption to GDP Total Investment Investment to GDP Total Fixed Investment Fixed Investment to GDP Exports Exports to GDP Imports Imports to GDP Current Account Balance

The Economics module page introduces the module, and the sidebar lists all of its functions.

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