The housing rent price index measures the prices paid for renting residential properties over time. Together with the house price index it is a key input into affordability and house ownership profitability measures such as the price to rent ratio.

This is an index based on 2015 = 100.

See definition: https://data.oecd.org/price/housing-prices.htm

Also known as: rental prices, housing costs, rent index.

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Calculate the Rent Prices in Python

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

pip install financetoolkit -U

Then call get_rent_prices as shown below.

from financetoolkit import Economics

economics = Economics(start_date='2015-01-01', end_date='2023-12-31')

economics.get_rent_prices(
    countries=['Turkey', 'United States', 'United Kingdom'],
    quarterly=False)

Which returns:

  Turkey United States United Kingdom
2015 100 100 100
2016 108.667 103.773 101.725
2017 118.586 107.731 102.699
2018 130.05 111.627 103.174
2019 143.192 115.765 103.924
2020 156.58 119.382 105.399
2021 172.63 122.062 107.148
2022 221.225 129.426 110.897
2023 398.003 139.543 117.179

Parameters

get_rent_prices accepts the following parameters:

  • countries (list[str] | str | None, optional): The countries to include in the data. Defaults to None.
  • quarterly (bool | None, optional): Whether to return the quarterly data or the annual data.
  • 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.
  • lag (int, optional): The number of periods to lag the data by.
  • 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.
Consumer Price Index Inflation Rate Consumer Confidence Index Business Confidence Index Composite Leading Indicator House Prices Share Prices Exchange Rates Producer Price Index Real Effective Exchange Rate Household Savings Rate Household Debt to Income Ratio

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

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