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.

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.

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

We reexamine the methods used in estimating comovements among US regional home prices and find that there are insufficient moments to ensure a normal limit necessary for employing the quasi-maximum likelihood estimator. Hence we propose applying the self-weighted quasi-maximum exponential likelihood estimator and a bootstrap method to test and account for the asymmetry of comovements as well as different magnitudes across state pairs. Our results reveal interstate asymmetric tail dependence based on observed house price indices rather than residuals from fitting autoregressive-generalized autoregressive conditional heteroskedasticity (AR-GARCH) models.

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 Q1 2025 about sales, median, housing, and USA.

A table listing the average electricity rates (kWh) of all 50 U.S. states as of March 2025.

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.

Single Family Home Prices in the United States increased to 422800 USD in May from 414000 USD in April of 2025. This dataset provides - United States Existing Single Family Home Prices- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Index of Wholesale Prices for United States (M0448CUSM350NNBR) from Jan 1913 to Dec 1968 about wholesale, price index, indexes, 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 515 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 69 percent in the mid-2000s. Following the downturn, it dropped significantly, reaching lows around 64 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 increased to 522200 USD in May from 511200 USD in April of 2025. This dataset includes a chart with historical data for the United States New Home Average Sales Price.

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

Food Prices for United States of America.

Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices

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

Abstract of associated article: This study examines the cointegration between city-gate and residential retail natural gas prices at the U.S. state level using monthly data from 1989:1 to 2012:12. Both price series are tested for unit roots using the Harris (2009) procedure to endogenously identify structural breaks related to deregulation associated with FERC Order No. 636. The endogenously determined structural breaks are then used in the Saikkonen and Lütkepohl (2000a, 2000b, 2000c) maximum likelihood approach to test cointegration of the series. Tests show cointegration of the two price series for all 50 states. Estimates of the long-run relationship in the pre- and post-structural break periods result in mixed evidence about the degree of perfect market integration induced by deregulation, although the magnitude and variation of parameters indicate increased integration. A vector error correction model is used to infer causality in the short and long-run dynamics for the pre and post-structural break periods for each state. The post-break period exhibits bidirectional causality in both short and long-run dynamics for all states, an indication of greater downstream integration of the natural gas market.

Gasoline prices of United States of America slumped by 6.58% from 0.76 US dollars per liter in 2014 to 0.71 US dollars per liter in 2016. Since the 27.63% surge in 2012, gasoline prices sank by 26.80% in 2016. Fuel prices refer to the pump prices of the most widely sold grade of gasoline. Prices have been converted from the local currency to U.S. dollars.

Hawaii was the state with the highest price of natural gas for industry in 2024, standing at 28.35 U.S. dollars per thousand cubic feet. This was more than double the price in Massachusetts, which ranked second. Meanwhile, the average natural gas price for industry in the U.S. stood at 3.93 U.S. dollars per thousand cubic feet in 2024.

House prices grew year-on-year in most states in the U.S. in the third quarter of 2024. The District of Columbia was the only exception, with a decline of ***** percent. The annual appreciation for single-family housing in the U.S. was **** percent, while in Hawaii—the state where homes appreciated the most—the increase exceeded ** percent. How have home prices developed in recent years? House price growth in the U.S. has been going strong for years. In 2024, the median sales price of a single-family home exceeded ******* U.S. dollars, up from ******* U.S. dollars five years ago. One of the factors driving house prices was the cost of credit. The record-low federal funds effective rate allowed mortgage lenders to set mortgage interest rates as low as *** percent. With interest rates on the rise, home buying has also slowed, causing fluctuations in house prices. Why are house prices growing? Many markets in the U.S. are overheated because supply has not been able to keep up with demand. How many homes enter the housing market depends on the construction output, whereas the availability of existing homes for purchase depends on many other factors, such as the willingness of owners to sell. Furthermore, growing investor appetite in the housing sector means that prospective homebuyers have some extra competition to worry about. In certain metros, for example, the share of homes bought by investors exceeded ** percent in 2024.

Gasoline retail prices weekly average by region dataset provides the weekly average retail gasoline prices for New York State and sixteen New York metropolitan regions in U.S. dollars per gallon. Data is a weekly average from January 2017 through current. Average daily retail gasoline prices are collected from the American Automobile Association (AAA) Daily Fuel Gauge Report. The AAA Daily Fuel Gauge Report prices are averaged to produce a weekly average retail price for New York State and each metropolitan region. The New York State metropolitan regions in the dataset are Albany (Albany-Schenectady-Troy), Batavia, Binghamton, Buffalo (Buffalo-Niagara Falls), Dutchess (Dutchess-Putnam), Elmira, Glens Falls, Ithaca, Kingston, Nassau (Nassau-Suffolk), New York City, Rochester, Syracuse, Utica (Utica-Rome), Watertown (Watertown-Fort Drum), and White Plains. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.