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.

We adjust SNAP maximum allotments, deductions, and income eligibility standards at the beginning of each Federal fiscal year. The changes are based on changes in the cost of living. COLAs take effect on October 1 each year. Maximum allotments are calculated from the cost of a market basket based on the Thrifty Food Plan for a family of four, priced in June that year. The maximum allotments for households larger and smaller than four persons are determined using formulas that account for economies of scale. Smaller households get slightly more per person than the four-person household. Larger households get slightly less. Income eligibility standards are set by law. Gross monthly income limits are set at 130 percent of the poverty level for the household size. Net monthly income limits are set at 100 percent of poverty.

Dataset showing monthly living costs in seven categories: food, housing, health care, transportation, child care, other necessities and net taxes.

Information about sample sizes, response rates, household characteristics, and expenditure uncertainty metrics for the Living Costs and Food Survey.

Cost of Living Index data was reported at 7,726.308 1913=1 in 2017. This records an increase from the previous number of 7,642.160 1913=1 for 2016. Cost of Living Index data is updated yearly, averaging 5.167 1913=1 from Dec 1861 (Median) to 2017, with 157 observations. The data reached an all-time high of 7,726.308 1913=1 in 2017 and a record low of 0.766 1913=1 in 1865. Cost of Living Index data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.I030: Cost of Living Index: 1913=1.

The ACCRA Cost of Living Index (COLI) is a measure of living cost differences among urban areas compiled by the Council for Community and Economic Research. Conducted quarterly, the index compares the price of goods and services among approximately 300 communities in the United States and Canada. This Microsoft Excel file contains the average prices of goods and services published in the ACCRA Cost of Living Index since 1990.

People in Great Britain's experiences of and actions following increases in their costs of living, and how these differed by a range of personal characteristics.

Cost of living indices are relative to New York City (NYC) which means that for New York City, each index should be 100. If another city has, for example, rent index of 120, it means that on an average in that city rents are 20% more expensive than in New York City. If a city has rent index of 70, that means on an average in that city rents are 30% less expensive than in New York City.

Cost of Living Index (Excl. Rent) is a relative indicator of consumer goods prices, including groceries, restaurants, transportation and utilities. Cost of Living Index doesn't include accommodation expenses such as rent or mortgage. If a city has a Cost of Living Index of 120, it means Numbeo estimates it is 20% more expensive than New York (excluding rent).

Rent Index is an estimation of prices of renting apartments in the city compared to New York City. If Rent index is 80, Numbeo estimates that price of rents in that city is on an average 20% less than the price in New York.

Groceries Index is an estimation of grocery prices in the city compared to New York City. To calculate this section, Numbeo uses weights of items in the "Markets" section for each city.

Restaurants Index is a comparison of prices of meals and drinks in restaurants and bars compared to NYC.

Cost of Living Plus Rent Index is an estimation of consumer goods prices including rent comparing to New York City.

Local Purchasing Power shows relative purchasing power in buying goods and services in a given city for the average wage in that city. If domestic purchasing power is 40, this means that the inhabitants of that city with the average salary can afford to buy on an average 60% less goods and services than New York City residents with an average salary.

This dataset contains data on monthly cost of living index in Estonia in 1919-1939. Dataset "Monthly Cost of Living Index in Estonia, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".

This is a comparison of the cost of living in various cities, as gathered by popular site numbeo. All data belongs to them and has been shared with permission

Currency is Euro

Ireland: Cost of living index, world average = 100: The latest value from 2021 is 175.68 index points, an increase from 157.19 index points in 2017. In comparison, the world average is 79.81 index points, based on data from 165 countries. Historically, the average for Ireland from 2017 to 2021 is 166.44 index points. The minimum value, 157.19 index points, was reached in 2017 while the maximum of 175.68 index points was recorded in 2021.

This dataset contains information about the cost of living in almost 5000 cities across the world. The data were gathered by scraping Numbeo's website (https://www.numbeo.com).

Data dictionary

This table contains data on the living wage and the percent of families with incomes below the living wage for California, its counties, regions and cities/towns. Living wage is the wage needed to cover basic family expenses (basic needs budget) plus all relevant taxes; it does not include publicly provided income or housing assistance. The percent of families below the living wage was calculated using data from the Living Wage Calculator and the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. The living wage is the wage or annual income that covers the cost of the bare necessities of life for a worker and his/her family. These necessities include housing, transportation, food, childcare, health care, and payment of taxes. Low income populations and non-white race/ethnic have disproportionately lower wages, poorer housing, and higher levels of food insecurity. More information about the data table and a data dictionary can be found in the About/Attachments section.

In a survey about factors contributing to cost of living pressures in Australia during the second quarter of 2022, ** percent of respondents identified groceries as the biggest contributor. Additionally, ** percent mentioned transport as a key contributor.

This dataset contains data on the monthly cost of living in Lithuania in 1913 and 1919-1939.

In his survey about wage development in Germany from 1871 to 1945 Gerhard Bry (1960) composes an overview about different estimations for index series for costs of living for the period from 1871 to 1913. The index series differ in their regional ties (German Empire, Silesia, Bavaria, Ruhr area, Berlin, Essen, Braunschweig, Lübeck, Mannheim, Stuttgart and Prussia) and also in the composition of the different components (food and rent, only food, costs of living). The indices are in general quite similar to each other, as Bry already noticed. To what extent differences in the details are due to local differences is difficult to assess. The only index, which differs significantly compared to other series from 1877 to 1892, is the board of trade for Krupp, Essen. “In order to test Kuczynski’s index, we compared it with the major available independent food cost measures – whether included in his index or not. This comparison is carried through in the table A-11. In spite of differences in detail there is a rather striking similarity in the behavior of all these series – particularly with respect to trends” (Bry, G., 1960, a. a. O., Appendix A-11). Data tables in HISTAT: A.01 Index – Series of costs of living, comparison of estimations (1871-1913) In seiner Untersuchung zur Lohnentwicklung in Deutschland von 1871 bis 1945 hat Gerhard Bry (1960) eine Übersicht zu verschiedenen Schätzungen für Index-Reihen der Lebenshaltungskosten für die Zeit 1871 bis 1913 gegenübergestellt. Die Index-Reihen unterscheiden sich sowohl in dem regionalen Bezug (Deutsches Reich, Schlesien, Bayern, Ruhrgebiet, Berlin, Essen, Braunschweig, Lübeck, Mannheim, Stuttgart und Preußen) als auch in der Zusammensetzung ihrer Komponenten (Ernährung und Miete, lediglich Ernährung, Lebenshaltungskosten). Im Allgemeinen verlaufen die Indices, wie Bry bemerkt, recht ähnlich. Inwiefern Unterschiede im Einzelnen auf lokale Verschiedenheiten zurückzuführen sind ist schwer einzuschätzen. Der einzige Index, der in den Jahren 1877 bis 1892 deutliche Unterschiede im Vergleich zu den übrigen Reihen aufweist, ist der des Board of Trade für Krupp (Essen. „In order to test Kuczynski’s index, we compared it with the major available independent food cost measures – whether included in his index or not. This comparison is carried through in the table A-11. In spite of differences in detail there is a rather striking similarity in the behavior of all these series – particularly with respect to trends” (Bry, G., 1960, a. a. O., Appendix A-11). Datentabellen in HISTAT: A.01 Index – Reihen der Lebenshaltungskosten, Schätzungen im Vergleich (1871-1913)

This dataset contains the predicted prices of the asset Cost of Living Coin over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

The FCA presents the findings from a survey undertaken in January 2024 to understand the financial impact of the increased cost of living on adults across the UK. Key findings include: Since January 2023 there has been an improvement in the number of people finding it hard to manage the higher costs of living, although challenges remain for some groups. The cost of living continues to have an impact on the financial lives of some adults in the UK. In January 2024: 7.4m (14%) felt heavily burdened by their domestic bills and credit commitments 5.5m (11%) had missed any of these bills in the previous 6 months 14.6m (28%) were not coping financially or finding it difficult to cope 5.9m (11%) had no disposable income

Key quality of life indicators - cost index, housing.

This dataset provides an analysis of average monthly prices for four essential food items, namely Eggs, Milk, Bread, and Potatoes, in five different countries: Australia, Japan, Canada, South Africa, and Sweden. The dataset spans a five-year period, from 2018 to 2022, offering a comprehensive overview of how food prices have evolved over time in these nations.

The dataset includes information on the average monthly prices of each food item in the respective countries. This information can be valuable for studying and comparing the cost of living, assessing economic trends, and understanding variations in food price dynamics across different regions.

Use Cases:

Comparative Analysis: Researchers and analysts can compare food prices across the five countries over the five-year period to identify patterns, trends, and variations. This analysis can help understand differences in purchasing power and economic factors impacting food costs.

Cost of Living Studies: The dataset can be used to examine the cost of living in different countries, specifically focusing on the expenses related to basic food items. This information can be beneficial for individuals considering relocation or policymakers aiming to evaluate living standards.

Economic Studies: Economists and policymakers can utilize this dataset to analyze the impact of economic factors, such as inflation or currency fluctuations, on food prices in different countries. It can provide insights into the stability and volatility of food markets in each region.

Forecasting and Planning: Businesses in the food industry can leverage the dataset to forecast future food price trends and plan their operations accordingly. The historical data can serve as a foundation for predictive models and assist in optimizing pricing strategies and supply chain management.

Note: The dataset is based on average monthly prices and does not capture individual variations or specific regions within each country. Further analysis and interpretation should consider additional factors like seasonal influences, local market dynamics, and consumer preferences.