The dataset contains 41265 observations and 21 variables.
Each row represents a specific observation or data point.
The variables in the dataset include:
hpi_type: Type of housing price index data (e.g., traditional, developmental, distress-free, non-metro).
hpi_flavor: Flavor of the housing price index data (e.g., purchase-only, all-transactions, expanded-data).
frequency: Frequency of the data (e.g., monthly, quarterly).
level: Level of geography (e.g., USA or Census Division, State, MSA, Puerto Rico).
place_name: Name of the place (e.g., region, state, metropolitan area).
place_id: Identifier for the place (e.g., abbreviation, CBSA code).
yr: Year of the data.
period: Period of the data (e.g., month, quarter).
index_nsa: Index, non seasonally adjusted.
index_sa: Index, seasonally adjusted.
Gross domestic product, constant prices: GDP at constant prices in national currency.
Gross domestic product per capita, constant prices: GDP per capita at constant prices.
Gross domestic product per capita, current prices: GDP per capita at current prices.
Gross domestic product based on purchasing-power-parity (PPP) share of world total: GDP based on PPP as a share of world total GDP.
Inflation, average consumer prices: Average consumer price inflation index.
Volume of imports of goods and services: Volume change in imports of goods and services.
Volume of exports of goods and services: Volume change in exports of goods and services.
Unemployment rate: Percentage of total labor force unemployed.
Current account balance: Balance of payments current account balance.
Date: Date of the data.
GSPC.Close: Closing price of the S&P 500 index.