This table contains 52 series, with data for years 1947 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: United States ...) Components (15 items: Total gross national product; Total gross domestic product; Gross domestic product; business; Gross domestic product; business; non-farm ...) Prices (4 items: Current prices; 1992 constant prices; Chained (2000) dollars; Chained (1996) dollars ...).

Dataset Overview

This dataset provides historical housing price indices for the United States, covering a span of 20 years from January 2000 onwards. The data includes housing price trends at the national level, as well as for major metropolitan areas such as San Francisco, Los Angeles, New York, and more. It is ideal for understanding how housing prices have evolved over time and exploring regional differences in the housing market.

Why This Dataset?

The U.S. housing market has experienced significant shifts over the last two decades, influenced by economic booms, recessions, and post-pandemic recovery. This dataset allows data enthusiasts, economists, and real estate professionals to analyze long-term trends, make forecasts, and derive insights into regional housing markets.

What’s Included?

Time Period: January 2000 to the latest available data (specific end date depends on the dataset). Frequency: Monthly data. Regions Covered: 20+ U.S. cities, states, and aggregates.

Columns Description

Each column represents the housing price index for a specific region or aggregate, starting with a date column:

Date: Represents the date of the housing price index measurement, recorded with a monthly frequency. U.S. National: The national-level housing price index for the United States. 20-City Composite: The aggregate housing price index for the top 20 metropolitan areas in the U.S. CA-San Francisco: The housing price index for San Francisco, California. CA-Los Angeles: The housing price index for Los Angeles, California. WA-Seattle: The housing price index for Seattle, Washington. NY-New York: The housing price index for New York City, New York. Additional Columns: The dataset includes more columns with housing price indices for various U.S. cities, which can be viewed in the full dataset preview.

Potential Use Cases

Time-Series Analysis: Investigate long-term trends and patterns in housing prices. Forecasting: Build predictive models to forecast future housing prices using historical data. Regional Comparisons: Analyze how housing prices have grown in different cities over time. Economic Insights: Correlate housing prices with economic factors like interest rates, GDP, and inflation.

Who Can Use This Dataset?

This dataset is perfect for:

Data scientists and machine learning practitioners looking to build forecasting models. Economists and policymakers analyzing housing market dynamics. Real estate investors and analysts studying regional trends in housing prices.

Example Questions to Explore

Which cities have experienced the highest housing price growth over the last 20 years? How do housing price trends in coastal cities (e.g., Los Angeles, Miami) compare to midwestern cities (e.g., Chicago, Detroit)? Can we predict future housing prices using time-series models like ARIMA or Prophet?

Annual Provincial and Territorial Gross Domestic Product (GDP) at basic prices, by North American Industry Classification aggregates, in percentage share, in current dollars.

Key information about United States Government Debt: % of GDP

• United States Government debt accounted for 124.0 % of the country's Nominal GDP in Dec 2024, compared with the ratio of 123.1 % in the previous quarter.
• US government debt to GDP ratio data is updated quarterly, available from Mar 1969 to Dec 2024.
• The data reached an all-time high of 130.4 % in Mar 2021 and a record low of 31.8 % in Sep 1974.

CEIC calculates quarterly Government Debt as % of Nominal GDP from monthly Government Debt and rolling sum of quarterly Nominal GDP. The Bureau of the Fiscal Service provides Government Debt in USD. The Bureau of Economic Analysis provides Nominal GDP in USD. Government Debt covers Central Government only.


Related information about United States Government Debt: % of GDP

• In the latest reports, US National Government Debt reached 36,220.2 USD bn in Jan 2025.
• The country's Nominal GDP reached 6,632.4 USD bn in Mar 2023.

This table contains 89 series, with data for years 1947 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: United States ...) Components (32 items: Gross national product; Total personal consumption expenditures; durable goods; Total personal consumption expenditures; Gross domestic product ...) Prices (4 items: Current prices; Chained (1996) dollars; Chained (2000) dollars; 1992 constant prices ...).

This table contains 31 series, with data for years 1947 - 1995 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: United States ...) Prices (3 items: 1972 constant dollars; 1982 constant dollars; 1986 constant dollars ...) Components (15 items: Total gross national product; Total gross domestic product; business; Total gross domestic product; business; non-farm; Total gross domestic product ...).

This table contains 909 series, with data for years 1981 - 2012 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) Seasonal adjustment (2 items: Seasonally adjusted at annual rates; Trading-day adjusted ...) Prices (2 items: Chained (2002) dollars; 2002 constant prices ...) North American Industry Classification System (NAICS) (303 items: All industries; Business sector industries; Business sector; goods; Business sector; services ...).

The value added in exports database provides data on the exports and imports of industries, as well as on the direct and indirect impact of each industry’s production for exports on industry and on total gross domestic product and jobs. Industry impacts can be viewed from the perspective of their incidence on other industries or from the perspective of an industry’s dependence on other industries. The data rely on the supply and use tables, which provide the basis for the calculations. Beginning with reference year 2013, a provincial and territorial dimension has been added to the measures. Imports embodied in exports have also been expanded to show their United States (US) and non-US origins.

Comprehensive demographic dataset for Pacific Palisades, Los Angeles, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Canada CA: Gross Domestic Product (GDP): Volume: 2015 Exchange Rates: USD: Double Hit Scenario data was reported at 1,580.000 USD bn in Dec 2021. This records an increase from the previous number of 1,560.000 USD bn for Sep 2021. Canada CA: Gross Domestic Product (GDP): Volume: 2015 Exchange Rates: USD: Double Hit Scenario data is updated quarterly, averaging 876.000 USD bn from Mar 1961 (Median) to Dec 2021, with 244 observations. The data reached an all-time high of 1,690.000 USD bn in Dec 2019 and a record low of 277.000 USD bn in Mar 1961. Canada CA: Gross Domestic Product (GDP): Volume: 2015 Exchange Rates: USD: Double Hit Scenario data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.EO: GDP by Expenditure: Volume: Forecast: OECD Member: Quarterly. GDPV_USD-Gross domestic product, US $, volume, constant exchange rates, EO base yearExpenditure approach OECD calculation, see OECD Economic Outlook, Database Inventory OECD Economic Outlook, Database Inventory:https://www.oecd.org/eco/outlook/Database_Inventory.pdf

Economic Forecasts, including 2011 actual values, 2012 estimated values, and 2013 through 2017 forecast values: Major Economic Assumptions for British Columbia; GDP, Industrial Production, Housing Starts, Consumer Price Index, Cdn interest rates, US interest rates and exchange rates, Export Price Deflator