Commercial Real Estate Prices
Get the quarterly Commercial Real Estate Price Index for the United States from FRED (sourced from the IMF’s Financial Soundness Indicators).
This tracks commercial (office, retail, industrial, apartment) property prices, as distinct from residential house prices (see get_house_prices, which tracks a completely different asset class/market). It is a transaction-based index rather than the appraisal-smoothed methodology used by institutional benchmarks like the NCREIF Property Index – which is not freely available anywhere – so expect more volatility and less autocorrelation than an appraisal-based series would show.
Requires a free FRED API key, see the fred_api_key parameter of the Economics class.
See definition: https://fred.stlouisfed.org/series/COMREPUSQ159N
Also known as: commercial property price index, CRE price index.
Commercial Real Estate Prices in Python
get_commercial_real_estate_prices is part of the Economics module of the open-source Finance Toolkit. Install it with:
pip install financetoolkit -U
Then call get_commercial_real_estate_prices as shown below.
from financetoolkit import Economics
economics = Economics(start_date='2015-01-01', fred_api_key='FRED_API_KEY')
economics.get_commercial_real_estate_prices()
Which returns:
| Date | United States |
|---|---|
| 2024-04-01 | -0.1067 |
| 2024-07-01 | -0.1058 |
| 2024-10-01 | -0.0273 |
| 2025-01-01 | -0.0301 |
| 2025-04-01 | -0.0701 |
Parameters
get_commercial_real_estate_prices accepts the following parameters:
- 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. 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.