Rent Prices

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.

Rent Prices in Python

get_rent_prices is part of 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:

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.

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