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.

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

Please refer further to: https://www.numbeo.com/cost-of-living/cpi_explained.jsp for motivation and methodology.

All credits to https://www.numbeo.com .

This dataset would surely help socio-economic researchers to analyse and get deeper insights regarding the life of people country-wise.

Thanks to @andradaolteanu for the motivation! Upwards and onwards...

Kazakhstan Cost of Living: Average per Capita: Region: Karagandinskaya data was reported at 27,666.000 KZT in Oct 2018. This records a decrease from the previous number of 27,737.000 KZT for Sep 2018. Kazakhstan Cost of Living: Average per Capita: Region: Karagandinskaya data is updated monthly, averaging 11,918.000 KZT from Oct 2000 (Median) to Oct 2018, with 217 observations. The data reached an all-time high of 28,240.000 KZT in Aug 2018 and a record low of 4,267.000 KZT in Oct 2000. Kazakhstan Cost of Living: Average per Capita: Region: Karagandinskaya data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.H012: Cost of Living: Average per Capita.

Argentina: Cost of living index, world average = 100: The latest value from 2021 is 61.38 index points, a decline from 93.54 index points in 2017. In comparison, the world average is 79.81 index points, based on data from 165 countries. Historically, the average for Argentina from 2017 to 2021 is 77.46 index points. The minimum value, 61.38 index points, was reached in 2021 while the maximum of 93.54 index points was recorded in 2017.

Find out how Australians feel about the increasing cost of living in our latest survey, as well as the latest data from the Cost of Living Index in 2024.

Malaysia: Cost of living index, world average = 100: The latest value from 2021 is 56.21 index points, a decline from 57.56 index points in 2017. In comparison, the world average is 79.81 index points, based on data from 165 countries. Historically, the average for Malaysia from 2017 to 2021 is 56.89 index points. The minimum value, 56.21 index points, was reached in 2021 while the maximum of 57.56 index points was recorded in 2017.

Russia Living Cost: Average per Month data was reported at 10,213.000 RUB in Dec 2018. This records a decrease from the previous number of 10,451.000 RUB for Sep 2018. Russia Living Cost: Average per Month data is updated quarterly, averaging 3,050.000 RUB from Mar 1992 (Median) to Dec 2018, with 108 observations. The data reached an all-time high of 10,451.000 RUB in Sep 2018 and a record low of 1.423 RUB in Jun 1992. Russia Living Cost: Average per Month 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.

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.

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.

The average for 2021 based on 165 countries was 79.81 index points. The highest value was in Bermuda: 212.7 index points and the lowest value was in Syria: 33.25 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

Living Cost: Average per Month: SF: Republic of Crimea data was reported at 11,074.000 RUB in Dec 2020. This records an increase from the previous number of 10,945.000 RUB for Sep 2020. Living Cost: Average per Month: SF: Republic of Crimea data is updated quarterly, averaging 9,798.500 RUB from Sep 2014 (Median) to Dec 2020, with 26 observations. The data reached an all-time high of 11,074.000 RUB in Dec 2020 and a record low of 5,786.000 RUB in Sep 2014. Living Cost: Average per Month: SF: Republic of Crimea 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.

Living Cost: Average per Month: SF: Republic of Kalmykia data was reported at 10,443.000 RUB in Dec 2020. This records a decrease from the previous number of 10,584.000 RUB for Sep 2020. Living Cost: Average per Month: SF: Republic of Kalmykia data is updated quarterly, averaging 5,341.000 RUB from Dec 2001 (Median) to Dec 2020, with 77 observations. The data reached an all-time high of 10,631.000 RUB in Jun 2020 and a record low of 1,399.000 RUB in Dec 2001. Living Cost: Average per Month: SF: Republic of Kalmykia 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.

Living Cost: Average per Month: FE: Chukotka Area data was reported at 23,999.000 RUB in Dec 2020. This records an increase from the previous number of 23,860.000 RUB for Sep 2020. Living Cost: Average per Month: FE: Chukotka Area data is updated quarterly, averaging 11,724.000 RUB from Jun 2003 (Median) to Dec 2020, with 71 observations. The data reached an all-time high of 23,999.000 RUB in Dec 2020 and a record low of 5,744.000 RUB in Dec 2003. Living Cost: Average per Month: FE: Chukotka Area 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.

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".

Kazakhstan Cost of Living: Average per Capita: City: Almaty data was reported at 32,029.000 KZT in Oct 2018. This records a decrease from the previous number of 32,475.000 KZT for Sep 2018. Kazakhstan Cost of Living: Average per Capita: City: Almaty data is updated monthly, averaging 15,920.000 KZT from Oct 2000 (Median) to Oct 2018, with 217 observations. The data reached an all-time high of 32,640.000 KZT in Aug 2018 and a record low of 4,577.000 KZT in Oct 2000. Kazakhstan Cost of Living: Average per Capita: City: Almaty data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.H012: Cost of Living: Average per Capita.

The available data collection compiles the most important price indices of living costs published in official price statistics. The price indices for the standard of living are to show, in which measure the haouseholds’ standard of living increased or decreased in price due to price alteration, but unaffected by changes by consumers’ behaviour. Therefore, the consumer price indices are to measure the pure price development, isolated from changes in quantity or quality. Basis of the index is the supposition, that the structure of private households’ consumer expenditures doesn’t have changed since the basis-year (Laspeyres-Index). The consumer price index covers groups of goods, which are bought and/or used by the private households. The private households’ expenditure structure is the basis of this price index, therefore the index is to be regarded as a “purchase price index” for private ultimate consumer. Aim of the consumer price statistics is – as it is the aim of the whole official price statistics – the registration of price changes. Therefore their most important results are price indices to a certain base year and not average prices in absolute height. Furthermore, living-cost price indices informs about the percental increas or decrease of the goods’ and achievments’ prices (in relation to a base year). Topics List of data-tables in the search- and downloadsystem HISTAT: A. Living-cost price index of all private households and living-cost price index by household-types (1948-2001). B. Living-cost price index by consumption-groups and main groups; structure by goods, achievements and use of dwellings; structuring by COICOP; housing rents, motorist-price index (1948-2001); C. Consumer prices since 1881; Cost of living since 1924; Price index for nutrition (1881-1913); Realm index figures for living-cost: blue-colour-worker-households with 5 persons by consumption groups (1924-1944); D. Monthly values: Living-cost-price index of all private households (1962-2001); Living-cost-price index of a 4-persons-household with middle income (1950-2001), base years: 1913/14, 1938 = 100 (1948-1994); E. Living-cost price index: international tables (1960-2001).

In 2023, the U.S. Consumer Price Index was 309.42, and is projected to increase to 352.27 by 2029. The base period was 1982-84. The monthly CPI for all urban consumers in the U.S. can be accessed here. After a time of high inflation, the U.S. inflation rateis projected fall to two percent by 2027. United States Consumer Price Index ForecastIt is projected that the CPI will continue to rise year over year, reaching 325.6 in 2027. The Consumer Price Index of all urban consumers in previous years was lower, and has risen every year since 1992, except in 2009, when the CPI went from 215.30 in 2008 to 214.54 in 2009. The monthly unadjusted Consumer Price Index was 296.17 for the month of August in 2022. The U.S. CPI measures changes in the price of consumer goods and services purchased by households and is thought to reflect inflation in the U.S. as well as the health of the economy. The U.S. Bureau of Labor Statistics calculates the CPI and defines it 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." The BLS records the price of thousands of goods and services month by month. They consider goods and services within eight main categories: food and beverage, housing, apparel, transportation, medical care, recreation, education, and other goods and services. They aggregate the data collected in order to compare how much it would cost a consumer to buy the same market basket of goods and services within one month or one year compared with the previous month or year. Given that the CPI is used to calculate U.S. inflation, the CPI influences the annual adjustments of many financial institutions in the United States, both private and public. Wages, social security payments, and pensions are all affected by the CPI.

Abstract

The Consumer price surveys primarily provide the following: Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure. Statistics needed for decision-makers, planners and those who are interested in the national economy. Contribution to the preparation of quarterly and annual national accounts data.

Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows: Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs. To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups. Price index numbers are widely used to measure inflation rates and economic recession. Price indices are used by the public as a guide for the family with regard to its budget and its constituent items. Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs. It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.

Geographic coverage

Palestine West Bank Gaza Strip Jerusalem

Analysis unit

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Universe

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Kind of data

Sample survey data [ssd]

Sampling procedure

A non-probability purposive sample of sources from which the prices of different goods and services are collected was updated based on the establishment census 2017, in a manner that achieves full coverage of all goods and services that fall within the Palestinian consumer system. These sources were selected based on the availability of the goods within them. It is worth mentioning that the sample of sources was selected from the main cities inside Palestine: Jenin, Tulkarm, Nablus, Qalqiliya, Ramallah, Al-Bireh, Jericho, Jerusalem, Bethlehem, Hebron, Gaza, Jabalia, Dier Al-Balah, Nusseirat, Khan Yunis and Rafah. The selection of these sources was considered to be representative of the variation that can occur in the prices collected from the various sources. The number of goods and services included in the CPI is approximately 730 commodities, whose prices were collected from 3,200 sources. (COICOP) classification is used for consumer data as recommended by the United Nations System of National Accounts (SNA-2008).

Sampling deviation

Not apply

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely: First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number. Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection. Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability. Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs. Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).

In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.

Cleaning operations

The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.

At the end of the data collection process in all governorates, the data will be edited using the following process: Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction. Mathematical revision of the average prices for items in governorates and the general average in all governorates. Field revision of prices through selecting a sample of the prices collected from the items.

Response rate

Not apply

Sampling error estimates

The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights. Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include: Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019. Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following: More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy. Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire. Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys. A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%): Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs. Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%. The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates. Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.

Data appraisal

Other technical procedures to improve data quality: Seasonal adjustment processes and estimations of non-available items' prices: Under each category, a number of common items are used in Palestine to calculate the price levels and to represent the commodity within the commodity group. Of course, it is

Consumer Price Index CPI in the United States increased to 321.47 points in May from 320.80 points in April of 2025. This dataset provides the latest reported value for - United States Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Turkey: Cost of living index, world average = 100: The latest value from 2021 is 44.31 index points, a decline from 64.7 index points in 2017. In comparison, the world average is 79.81 index points, based on data from 165 countries. Historically, the average for Turkey from 2017 to 2021 is 54.51 index points. The minimum value, 44.31 index points, was reached in 2021 while the maximum of 64.7 index points was recorded in 2017.