West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

New Orleans was the most affordable city for backpackers in the United States as of January 2025. According to the source, backpackers could expect to spend around 94.93 U.S. dollars per day in the city. This figure includes a dorm bed at a cheap hostel, three budget meals, two public transportation rides, one paid cultural attraction, and three cheap beers (as an “entertainment fund”).

Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

A comprehensive dataset of average residential, commercial, and combined electricity rates in cents per kWh for all 50 U.S. states.

The statistic represents the states with the lowest average retail electricity prices to residential customers in the United States as of December 2019. Arkansas had an average residential electricity price of 9.84 U.S. cents per kilowatt hour.

A ranking of the global electricity prices in select countries can be found here.

Key information about House Prices Growth

• US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
• House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

Monthly average retail electricity prices by state from EIA (Residential, Commercial, All Sectors).

Graph and download economic data for Residential Property Prices for United States (QUSN368BIS) from Q1 1971 to Q1 2025 about residential, housing, price, and USA.

In 2024, the western island state of Hawaii offered the most affordable homeowners' insurance in the United States. Homeowners in Hawaii paid an annual average of *** U.S. dollars for insurance coverage. On the other hand, Oklahoma, Texas, and Nebraska were among the least affordable states for homeowners insurance. Who are the leading providers of homeowners insurance in the United States? State Farm, headquartered in Bloomington, Illinois, maintained its position as a market leader in home insurance due to its extensive network of agents, strong financial stability, and consistently high customer satisfaction ratings. Other leading providers of homeowners insurance in the United States included Allstate Corporation and Liberty Mutual. These companies dominate the market by offering comprehensive coverage options, competitive pricing, and reliable claims services, making them the preferred choice for millions of homeowners. How has U.S. homeownership changed since the financial crisis? Since the global financial crisis, the homeownership rate in the United States has seen a significant decline. Before the crisis, homeownership peaked at approximately ** percent in the mid-2000s. Following the downturn, it dropped significantly, reaching lows around ** percent by the mid-2010s. In recent years, homeownership has seen a modest recovery, but levels remain below the pre-crisis peak, as rising costs and market constraints continue to pose challenges for many.

Average House Prices in the United States decreased to 487300 USD in July from 505300 USD in June of 2025. This dataset includes a chart with historical data for the United States New Home Average Sales Price.

Single Family Home Prices in the United States decreased to 422400 USD in July from 432700 USD in June of 2025. This dataset provides - United States Existing Single Family Home Prices- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Gasoline Prices in the United States remained unchanged at 0.83 USD/Liter in August. This dataset provides the latest reported value for - United States Gasoline Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

Graph and download economic data for Index of Wholesale Prices for United States (M0448BUSM336NNBR) from Jan 1890 to Dec 1914 about wholesale, price index, indexes, price, and USA.

Residential Property Prices in the United States increased 2.50 percent in March of 2025 over the same month in the previous year. This dataset includes a chart with historical data for the United States Residential Property Prices.

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?

Chanel web scraped data

  About the website

The global luxury goods industry, specifically the high-end fashion sector, is a competitive marketplace where brands like Chanel thrive. The American market, especially the United States, plays a critical role in this industry, as it is one of the worlds biggest consumers of luxury products. With its affluent consumers propensity for luxury and up-scale products, the US market is a major driver of growth in this sector. The… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Chanel.Product.prices.United.States.

Graph and download economic data for Commercial Real Estate Prices for United States (COMREPUSQ159N) from Q1 2005 to Q3 2024 about real estate, commercial, rate, and USA.

The National Database of Childcare Prices (NDCP) provides childcare prices at the county level in the United States. The NDCP is a new data source, and the most comprehensive federal source of childcare prices at the county level in the United States. The NDCP was developed to fill a need for local-level childcare price data, standardized across U.S. states. Most existing sources of childcare price data provide prices at the state level, yet parents must choose childcare providers that are in close proximity to their homes or workplaces. Therefore, state averages are unlikely to be good estimates of the prices parents encounter in the market. State average prices do not reflect the substantial variation in prices from one locale to the next within a state and underestimate prices in urban areas. The NDCP provides data on the price of childcare by children's age groups and care setting (home-based or center-based) at the median and 75th percentile over an 11-year period (2008-2018, inclusive) at the county level. The data were obtained from state Lead Agencies responsible for conducting market rate surveys (MRS) according to Child Care and Development Fund regulations. A MRS is the collection and analysis of prices charged by childcare providers for services in the priced market. All state Lead Agencies must conduct a survey and develop a report on local childcare prices in their state every three years. The Women's Bureau contracted with ICF to obtain reports and data from previously conducted surveys to develop the NDCP. The NDCP standardizes and harmonizes data across years and geographies for about 200 previously-conducted MRS. The NDCP also provides county-level demographic and economic data from the American Community Survey. The accompanying User Guide (U.S. Department of Labor, Women's Bureau National Database of Childcare Prices: Final Report) provides detailed information about the data sources, data collection strategy, standardization and imputation of the data, and data limitations to inform and assist researchers who may be interested in using the data for future analyses. The following items are provided in the User Guide as appendices. Appendix A: Data Collection Protocol and Decisions Made During Data Entry Process, Including State Nuances Appendix B: List of Imputations Performed for Each State and Year Appendix C: Initial Price Modes per States' MRS Reports Appendix D: Data Dictionary and Additional Imputation Methodology Appendix E: Making the Database Accessible

SB: PR: CS: Prices Paid: Large Increase data was reported at 42.100 % in 11 Apr 2022. This records an increase from the previous number of 41.300 % for 04 Apr 2022. SB: PR: CS: Prices Paid: Large Increase data is updated weekly, averaging 42.500 % from Feb 2022 (Median) to 11 Apr 2022, with 9 observations. The data reached an all-time high of 46.100 % in 14 Mar 2022 and a record low of 36.000 % in 21 Feb 2022. SB: PR: CS: Prices Paid: Large Increase data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S055: Small Business Pulse Survey: by State: US Territory (Discontinued).