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American Real Estate Market Trends Data
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About
Key supply and demand indicators that shape the housing market in the United States over the last two decades are provided in this data collection. It is structured into two main files, one focusing on supply-side factors and the other on demand-side factors, offering a multi-faceted view for analysing trends and influences on home prices.
Columns
Supply File
- DATE: The date of the record.
- PERMIT: The total number of new privately-owned housing units authorised by building permits, presented in thousands of units at a seasonally adjusted annual rate.
- MSACSR: The monthly supply of new houses available in the United States, seasonally adjusted.
- TLRESCONS: Total spending on residential construction in the United States, measured in millions of dollars at a seasonally adjusted annual rate.
- EVACANTUSQ176N: An estimate of the number of vacant housing units in the United States, provided in thousands of units and not seasonally adjusted.
- CSUSHPISA: The S&P/Case-Shiller U.S. National Home Price Index, with a base of 100 as of January 2000, seasonally adjusted.
Demand File
- DATE: The date of the record.
- INTDSRUSM193N: The discount interest rates for the United States, measured in billions of dollars at a seasonally adjusted annual rate.
- UMCSENT: The University of Michigan's Consumer Sentiment Index.
- GDP: The Gross Domestic Product of the United States, presented in billions of dollars at a seasonally adjusted annual rate.
- MORTGAGE15US: The average rate for a 30-year fixed-rate mortgage in the United States, shown as a percentage and not seasonally adjusted.
- CSUSHPISA: The S&P/Case-Shiller U.S. National Home Price Index, with a base of 100 as of January 2000, seasonally adjusted.
- MSPUS: The median sales price for houses sold in the United States, not seasonally adjusted.
Distribution
The dataset is distributed in two separate CSV files:
supply.csv and demand.csv. The demand.csv file has a size of 5.38 kB and contains 7 columns.Usage
This data is ideal for economic analysis, market research, and predictive modelling related to the US housing sector. It can be used to understand the relationship between economic indicators and home prices, analyse market trends, and develop investment strategies.
Coverage
The dataset covers the United States over a period of approximately 20 years, from 2003 to 2023.
License
CC0: Public Domain
Who Can Use It
- Economists: To study macroeconomic influences on the housing market.
- Data Scientists: For building predictive models to forecast housing prices.
- Real Estate Analysts: To assess market conditions and inform investment decisions.
Dataset Name Suggestions
- US Housing Market Supply and Demand Indicators
- US Home Price Influencers Dataset (2003-2023)
- Economic Factors of the US Housing Market
- American Real Estate Market Trends Data
Attributes
Original Data Source:American Real Estate Market Trends Data
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