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.

Detailed cost of living comparison between United States and United States

Of the most populous cities in the U.S., San Jose, California had the highest annual income requirement at ******* U.S. dollars annually for homeowners to have an affordable and comfortable life in 2024. This can be compared to Houston, Texas, where homeowners needed an annual income of ****** U.S. dollars in 2024.

This map shows how expensive an area is based on a score determined by education, healthcare, housing, food, and transportation spending. A higher score means more is spent on living expenses. Areas in orange-red are more expensive while areas in yellow-blue are less expensive. Data is available from state to tract level from Esri's updated demographics.

Detailed cost of living comparison between United States and Colombia

In the United States, Hawaii was the state with the most expensive housing, with the typical value of single-family homes in the 35th to 65th percentile range exceeding ******* U.S. dollars. Unsurprisingly, Hawaii also ranked top as the state with the highest cost of living. Meanwhile, a property was the least expensive in West Virginia, where it cost under ******* U.S. dollars to buy the typical single-family home. Single-family home prices increased across most states in the United States between December 2023 and December 2024, except in Louisiana, Florida, and the District of Colombia. According to the Federal Housing Association, house appreciation in 13 states exceeded **** percent in 2023.

Detailed cost of living comparison between Taiwan and United States

Detailed cost of living comparison between United States and Eswatini

This layer shows housing costs as a percentage of household income. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Income is based on earnings in past 12 months of survey. This layer is symbolized to show the percent of renter households that spend 30.0% or more of their household income on gross rent (contract rent plus tenant-paid utilities). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B25070, B25091 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

In 2024, the consumer price index (CPI) was 315.61. Data represents U.S. city averages. The monthly inflation rate for the United States can be found here. United States urban Consumer Price Index (CPI) The U.S. Consumer Price Index is a measure of change in the price of consumer goods and services purchased by households. The CPI is defined by the United States Bureau of Labor Statistics as "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services." To calculate the CPI, the Bureau of Labor Statistics considers the price of goods and services from various categories: housing, transportation, apparel, food & beverage, medical care, recreation, education and other/uncategorized. The CPI is a useful measure, as it indicates how the cost of urban living in the United States has changed over time, compared to a base period. CPI is also used to calculate inflation, or change in the purchasing power of money. According to the U.S. Bureau of Labor Statistics, the U.S. urban CPI has been rising steadily since 1992. As of 2023, the CPI was 304.7, up from 233 ten years earlier and up from 184 twenty years earlier. This indicates the extent to which, compared to a base period 1982-1984 = 100, the price of various goods and services has risen.

Detailed cost of living comparison between United States and Norway

Living Cost: Average per Month: NC: Republic of Ingushetia data was reported at 10,353.000 RUB in Dec 2020. This records an increase from the previous number of 10,336.000 RUB for Sep 2020. Living Cost: Average per Month: NC: Republic of Ingushetia data is updated quarterly, averaging 4,872.500 RUB from Mar 2001 (Median) to Dec 2020, with 80 observations. The data reached an all-time high of 10,571.000 RUB in Jun 2020 and a record low of 1,121.000 RUB in Mar 2001. Living Cost: Average per Month: NC: Republic of Ingushetia data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HF001: Living Cost.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for New York County, NY (MWACL36061) from 2009 to 2023 about New York County, NY; adjusted; New York; average; NY; wages; real; and USA.

Breakdown of the employer benefits of the state’s package compared to those of the external labor market. The average cost is calculated based on the employers’ contribution in relation to the respective average state benchmark salary and the average market salary. For dental insurance, the 2012 Survey data not available. 2011 data has been escalated by 4.0% based on trend figures from the Sibson Consulting 2012 Health Plan Cost Trend Survey; for Basic Life Insurance & Disability Insurance, the data comes from the 2010/2011 Towers Watson Survey Report on Employee Benefits Policies & Practices; for sick leave accrual days, the data comes from the 2010/2011 Towers Watson Survey Report on Employee Benefits Policies & Practices; and for the market amount for defined benefit retirement plan, the data comes from the NASRA FY 2011 Public Fund Survey Report.

United States CES: AAE: Housing: Shelter: Owned: Maintenance, Repairs, Ins & Other data was reported at 1,616.000 USD in 2017. This records an increase from the previous number of 1,437.000 USD for 2016. United States CES: AAE: Housing: Shelter: Owned: Maintenance, Repairs, Ins & Other data is updated yearly, averaging 869.000 USD from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 1,616.000 USD in 2017 and a record low of 390.000 USD in 1984. United States CES: AAE: Housing: Shelter: Owned: Maintenance, Repairs, Ins & Other data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H042: Consumer Expenditure Survey. CES: AAE: Housing: Shelter: Owned: Maintenance, Repairs, Insurance & Other Expenses (id 292780401) are owner-occupied shelter expenditures that includes refinancing and prepayment charges, ground rent, expenses for property management and security, homeowners' insurance, fire insurance and extended coverage, expenses for repairs and maintenance contracted out, and expenses of materials for owner-performed repairs and maintenance for dwellings used or maintained by the consumer unit. Maintenance and Repairs included in this series pertain to residential units only and not to electronics/kitchen equipment.

Detailed cost of living comparison between Mexico and United States

Living Cost: Pensioners: Average per Month: CF: Kursk Region data was reported at 8,332.000 RUB in Dec 2020. This records a decrease from the previous number of 8,737.000 RUB for Sep 2020. Living Cost: Pensioners: Average per Month: CF: Kursk Region data is updated quarterly, averaging 4,198.000 RUB from Dec 2001 (Median) to Dec 2020, with 77 observations. The data reached an all-time high of 8,737.000 RUB in Sep 2020 and a record low of 1,201.000 RUB in Dec 2001. Living Cost: Pensioners: Average per Month: CF: Kursk Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HF003: Living Cost: Pensioner.

Detailed cost of living comparison between United States and Togo

Regular butter, sold in sticks, per pound (16 oz.). Includes organic and non-organic butter."

Detailed cost of living comparison between United States and Lesotho