62 datasets found
  1. Cost of living index in the U.S. 2024, by state

    • statista.com
    Updated May 27, 2025
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    Statista (2025). Cost of living index in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1240947/cost-of-living-index-usa-by-state/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    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.

  2. Cost of Living Index 2022

    • kaggle.com
    Updated May 28, 2022
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    Ankan Hore (2022). Cost of Living Index 2022 [Dataset]. https://www.kaggle.com/datasets/ankanhore545/cost-of-living-index-2022
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 28, 2022
    Dataset provided by
    Kaggle
    Authors
    Ankan Hore
    Description

    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...

  3. Cost of living in selected cities worldwide 2025, by price index

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Cost of living in selected cities worldwide 2025, by price index [Dataset]. https://www.statista.com/statistics/262806/worldwide-exclusive-rent-index/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    World
    Description

    Zurich, Lausanne, and Geneva were ranked as the most expensive cities worldwide with indices of ************************ Almost half of the 11 most expensive cities were in Switzerland.

  4. U.S. Consumer Price Index for selected U.S. cities 2024

    • statista.com
    Updated Mar 5, 2025
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    Statista (2025). U.S. Consumer Price Index for selected U.S. cities 2024 [Dataset]. https://www.statista.com/statistics/245014/consumer-price-index-for-selected-us-cities/
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    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In 2024, the CPI in U.S. cities averaged at 313.7. However, the CPI for the New York-Newark-Jersey City metropolitan area amounted to about 334.21. Prices in New York City were significantly higher than the U.S. average. Nonetheless, the San Diego-Carlsbad area ranked first with a CPI of 373.32.The monthly inflation rate for the United States can be found here.

  5. G

    Cost of living in | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 13, 2024
    + more versions
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    Globalen LLC (2024). Cost of living in | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/cost_of_living_wb/1000/
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    xml, excel, csvAvailable download formats
    Dataset updated
    Jan 13, 2024
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2017 - Dec 31, 2021
    Area covered
    World
    Description

    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.

  6. Cost of living index in India 2024, by city

    • statista.com
    Updated Jun 23, 2025
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    Cost of living index in India 2024, by city [Dataset]. https://www.statista.com/statistics/1399330/india-cost-of-living-index-by-city/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    As of September 2024, Mumbai had the highest cost of living among other cities in the country, with an index value of ****. Gurgaon, a satellite city of Delhi and part of the National Capital Region (NCR) followed it with an index value of ****.  What is cost of living? The cost of living varies depending on geographical regions and factors that affect the cost of living in an area include housing, food, utilities, clothing, childcare, and fuel among others. The cost of living is calculated based on different measures such as the consumer price index (CPI), living cost indexes, and wage price index. CPI refers to the change in the value of consumer goods and services. The wage price index, on the other hand, measures the change in labor services prices due to market pressures. Lastly, the living cost indexes calculate the impact of changing costs on different households. The relationship between wages and costs determines affordability and shifts in the cost of living. Mumbai tops the list Mumbai usually tops the list of most expensive cities in India. As the financial and entertainment hub of the country, Mumbai offers wide opportunities and attracts talent from all over the country. It is the second-largest city in India and has one of the most expensive real estates in the world.

  7. F

    Estimated Mean Real Household Wages Adjusted by Cost of Living for Salt Lake...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Estimated Mean Real Household Wages Adjusted by Cost of Living for Salt Lake County, UT [Dataset]. https://fred.stlouisfed.org/series/MWACL49035
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    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Salt Lake County, Utah
    Description

    Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Salt Lake County, UT (MWACL49035) from 2009 to 2023 about Salt Lake County, UT; Salt Lake City; UT; adjusted; average; wages; real; and USA.

  8. Thailand's Cost of living index, by major city 2023

    • statista.com
    Updated Nov 12, 2024
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    Statista (2024). Thailand's Cost of living index, by major city 2023 [Dataset]. https://www.statista.com/statistics/1535689/thailand-cost-of-living-index-by-major-city/
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    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Thailand
    Description

    In 2023, Bangkok led among major cities in Thailand with the highest cost of living index score at nearly 50 points. In that same year, Thailand's cost of living index scored 40.7 points.

  9. Cost of living in the least expensive cities worldwide 2023, by price index

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Cost of living in the least expensive cities worldwide 2023, by price index [Dataset]. https://www.statista.com/statistics/1419125/worldwide-least-expensive-cities/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 16, 2023 - Sep 16, 2023
    Area covered
    World
    Description

    Damascus in Syria was ranked as the least expensive city worldwide in 2023, with an index score of ** out of 100. The country has been marred by civil war over the last decade, hitting the country's economy hard. Other cities in the Middle East and North Africa, such as Tehran, Tripoli, and Tunis, are also present on the list. On the other hand, Singapore and Zurich were ranked the most expensive cities in the world.

  10. Inter-city indexes of price differentials of consumer goods and services,...

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Dec 16, 2020
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    Government of Canada, Statistics Canada (2020). Inter-city indexes of price differentials of consumer goods and services, annual [Dataset]. http://doi.org/10.25318/1810000301-eng
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    Dataset updated
    Dec 16, 2020
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Annual indexes of price differences between 15 cities in all provinces and territories, as of October of the previous year, for a selection of products (goods and services) from the Consumer Price Index (CPI) purchased by consumers in each of the 15 cities. The combined city average index is 100.

  11. Cost of living indices Singapore 2024, by category

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Cost of living indices Singapore 2024, by category [Dataset]. https://www.statista.com/statistics/1551867/singapore-cost-of-living-index-by-category/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Singapore
    Description

    In 2024, Singapore's cost of living index was at ****, compared to that of New York City as a base of 100. This meant that Singapore was about ** percent more affordable than New York City. With a local purchasing power index of ***, residents with an average salary in Singapore are able to afford more goods and services compared to the base city of New York City. In that year, Singapore had the highest cost of living index in Asia.

  12. Latin America & Caribbean: cities with the highest cost of living index 2024...

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Latin America & Caribbean: cities with the highest cost of living index 2024 [Dataset]. https://www.statista.com/statistics/1154574/cost-of-living-index-latin-american-caribbean-cities/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Latin America, Americas
    Description

    As of mid-2024, Montevideo ranked as the second Latin American and Caribbean metropolis with the highest cost of living index. The Uruguayan capital obtained an index score of ****, only second to Port of Spain, in Trinidad and Tobago, with **** points. Monterrey and Panama City were the third and fourth most expensive cities to live in Latin America and the Caribbean that year, with scores surpassing ** points each.

  13. Consumer Price Index by geography, all-items, monthly, percentage change,...

    • www150.statcan.gc.ca
    Updated Jun 24, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Consumer Price Index by geography, all-items, monthly, percentage change, not seasonally adjusted, Canada, provinces, Whitehorse, Yellowknife and Iqaluit [Dataset]. http://doi.org/10.25318/1810000401-eng
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    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Monthly indexes and percentage changes for all components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.

  14. Vital Signs: Poverty - by city

    • data.bayareametro.gov
    • open-data-demo.mtc.ca.gov
    application/rdfxml +5
    Updated Dec 12, 2018
    + more versions
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    U.S. Census Bureau (2018). Vital Signs: Poverty - by city [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Poverty-by-city/if2n-3uk8
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    application/rdfxml, xml, tsv, csv, application/rssxml, jsonAvailable download formats
    Dataset updated
    Dec 12, 2018
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau
    Description

    VITAL SIGNS INDICATOR Poverty (EQ5)

    FULL MEASURE NAME The share of the population living in households that earn less than 200 percent of the federal poverty limit

    LAST UPDATED December 2018

    DESCRIPTION Poverty refers to the share of the population living in households that earn less than 200 percent of the federal poverty limit, which varies based on the number of individuals in a given household. It reflects the number of individuals who are economically struggling due to low household income levels.

    DATA SOURCE U.S Census Bureau: Decennial Census http://www.nhgis.org (1980-1990) http://factfinder2.census.gov (2000)

    U.S. Census Bureau: American Community Survey Form C17002 (2006-2017) http://api.census.gov

    METHODOLOGY NOTES (across all datasets for this indicator) The U.S. Census Bureau defines a national poverty level (or household income) that varies by household size, number of children in a household, and age of householder. The national poverty level does not vary geographically even though cost of living is different across the United States. For the Bay Area, where cost of living is high and incomes are correspondingly high, an appropriate poverty level is 200% of poverty or twice the national poverty level, consistent with what was used for past equity work at MTC and ABAG. For comparison, however, both the national and 200% poverty levels are presented.

    For Vital Signs, the poverty rate is defined as the number of people (including children) living below twice the poverty level divided by the number of people for whom poverty status is determined. Poverty rates do not include unrelated individuals below 15 years old or people who live in the following: institutionalized group quarters, college dormitories, military barracks, and situations without conventional housing. The household income definitions for poverty change each year to reflect inflation. The official poverty definition uses money income before taxes and does not include capital gains or noncash benefits (such as public housing, Medicaid, and food stamps). For the national poverty level definitions by year, see: https://www.census.gov/hhes/www/poverty/data/threshld/index.html For an explanation on how the Census Bureau measures poverty, see: https://www.census.gov/hhes/www/poverty/about/overview/measure.html

    For the American Community Survey datasets, 1-year data was used for region, county, and metro areas whereas 5-year rolling average data was used for city and census tract.

    To be consistent across metropolitan areas, the poverty definition for non-Bay Area metros is twice the national poverty level. Data were not adjusted for varying income and cost of living levels across the metropolitan areas.

  15. Cost of living index score of megacities APAC 2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Cost of living index score of megacities APAC 2024 [Dataset]. https://www.statista.com/statistics/915112/asia-pacific-cost-of-living-index-in-megacities/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Asia, Asia–Pacific
    Description

    South Korea's capital Seoul had the highest cost of living among megacities in the Asia-Pacific region in 2024, with an index score of ****. Japan's capital Tokyo followed with a cost of living index score of ****. AffordabilityIn terms of housing affordability, Chinese megacity Shanghai had the highest rent index score in 2024. Affordability has become an issue in certain megacities across the Asia-Pacific region, with accommodation proving expensive. Next to Shanghai, Japanese capital Tokyo and South Korean capital Seoul boast some of the highest rent indices in the region. Increased opportunities in megacitiesAs the biggest region in the world, it is not surprising that the Asia-Pacific region is home to 28 megacities as of January 2024, with expectations that this number will dramatically increase by 2030. The growing number of megacities in the Asia-Pacific region can be attributed to raised levels of employment and living conditions. Cities such as Tokyo, Shanghai, and Beijing have become economic and industrial hubs. Subsequently, these cities have forged a reputation as being the in-trend places to live among the younger generations. This reputation has also pushed them to become enticing to tourists, with Tokyo displaying increased numbers of tourists throughout recent years, which in turn has created more job opportunities for inhabitants. As well as Tokyo, Shanghai has benefitted from the increased tourism, and has demonstrated an increasing population. A big factor in this population increase could be due to the migration of citizens to the city, seeking better employment possibilities.

  16. Consumer Price Index, 1913-1992

    • icpsr.umich.edu
    • search.datacite.org
    ascii
    Updated Dec 18, 1993
    + more versions
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    United States Department of Labor. Bureau of Labor Statistics (1993). Consumer Price Index, 1913-1992 [Dataset]. http://doi.org/10.3886/ICPSR08166.v3
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    asciiAvailable download formats
    Dataset updated
    Dec 18, 1993
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Labor. Bureau of Labor Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8166/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8166/terms

    Time period covered
    1913 - 1992
    Area covered
    United States
    Description

    The Consumer Price Index (CPI) measures over time the prices of goods and services in major expenditure categories typically purchased by urban consumers. The expenditure categories include food, housing, apparel, transportation, and medical care. Essentially, the Index measures consumer purchasing power by comparing the cost of a fixed set of goods and services (called a market basket) in a specific month relative to the cost of the same market basket in an earlier reference period, designated as the base period. The CPI is calculated for two population groups: urban wage earners and clerical workers (CPI-W) and all urban consumers (CPI-U). The CPI-W population includes those urban families with clerical workers, sales workers, craft workers, operatives, service workers, or laborers in the family unit and is representative of the prices paid by about 40 percent of the United States population. The CPI-U population consists of all urban households (including professional and salaried workers, part-time workers, the self-employed, the unemployed, and retired persons) and is representative of the prices paid by about 80 percent of the United States population. Both populations specifically exclude persons in the military, in institutions, and all persons living outside of urban areas (such as farm families). National indexes for both populations are available for about 350 consumer items and groups of items. In addition, over 100 of the indexes have been adjusted for seasonality. The indexes are monthly with some beginning in 1913. Area indexes are available for 27 urban places. For each area, indexes are presented for about 65 items and groups. The area indexes are produced monthly for 5 areas, bimonthly for 10 areas, and semiannually for 12 urban areas. Regional indexes are available for four regions with about 95 items and groups per region. Beginning with January 1987, regional indexes are monthly, with some beginning as early as 1966. City-size indexes are available for four size classes with about 95 items and groups per class. Beginning with January 1987, these indexes are monthly and most begin in 1977. Regional and city-size indexes are available cross-classified by region and city-size class. For each of the 13 cross-classifications, about 60 items and groups are available. Beginning with January 1987, these indexes are monthly and most begin in 1977. Each index record includes a series identification code that specifies the sample (either all urban consumers or urban wage earners and clerical workers), seasonality (either seasonally adjusted or unadjusted), periodicity (either semiannual or regular), geographic area, index base period, and item number of the index.

  17. Living Wage

    • data.ca.gov
    • data.chhs.ca.gov
    • +1more
    pdf, xlsx, zip
    Updated Aug 29, 2024
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    California Department of Public Health (2024). Living Wage [Dataset]. https://data.ca.gov/dataset/living-wage
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    pdf, xlsx, zipAvailable download formats
    Dataset updated
    Aug 29, 2024
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  18. Brazil Market Expectation: Price Indices: Consumer Price Index (IPC-FIPE): 1...

    • ceicdata.com
    Updated Jun 28, 2019
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    CEICdata.com (2019). Brazil Market Expectation: Price Indices: Consumer Price Index (IPC-FIPE): 1 Year Ahead: Average [Dataset]. https://www.ceicdata.com/en/brazil/market-expectation-price-indices-consumer-price-index-ipcfipe/market-expectation-price-indices-consumer-price-index-ipcfipe-1-year-ahead-average
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    Dataset updated
    Jun 28, 2019
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 12, 2019 - Jun 28, 2019
    Area covered
    Brazil
    Variables measured
    Economic Expectation Survey
    Description

    Brazil Market Expectation: Price Indices: Consumer Price Index (IPC-FIPE): 1 Year Ahead: Average data was reported at 3.610 % in 28 Jun 2019. This records an increase from the previous number of 3.580 % for 27 Jun 2019. Brazil Market Expectation: Price Indices: Consumer Price Index (IPC-FIPE): 1 Year Ahead: Average data is updated daily, averaging 4.430 % from Aug 2000 (Median) to 28 Jun 2019, with 4736 observations. The data reached an all-time high of 6.520 % in 06 Jan 2003 and a record low of 2.870 % in 11 Apr 2001. Brazil Market Expectation: Price Indices: Consumer Price Index (IPC-FIPE): 1 Year Ahead: Average data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SA018: Market Expectation: Price Indices: Consumer Price Index (IPC-FIPE). Market Expectations System was implemented in November 2001, previous projections were collected from incipient through telephone contacts, transcribed into spreadsheets and consolidated manually. Some empty time points occurred because the Market didn´t have the expectation for those days. Researched in the city of São Paulo, reflects the cost of living of families with income from 1 to 20 minimum wages.

  19. Rent index Thailand, by major city 2023

    • statista.com
    Updated Nov 12, 2024
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    Statista (2024). Rent index Thailand, by major city 2023 [Dataset]. https://www.statista.com/statistics/1535693/thailand-rent-index-by-major-city/
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    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Thailand
    Description

    In 2023, Bangkok led among major cities in Thailand with the highest rent index score at nearly 23 points. In comparison, Chiang Mai, the second-largest city in Thailand located in the north, scored 10.8 points.

  20. Most expensive cities to live in Africa as of 2024

    • ai-chatbox.pro
    • statista.com
    Updated Sep 30, 2024
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    Saifaddin Galal (2024). Most expensive cities to live in Africa as of 2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F12726%2Furbanization-in-africa%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Sep 30, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Saifaddin Galal
    Area covered
    Africa
    Description

    Addis Ababa, in Ethiopia, ranked as the most expensive city to live in Africa as of 2024, considering consumer goods prices. The Ethiopian capital obtained an index score of 46.7, followed by Harare, in Zimbabwe, with 37.4. Morocco and South Africa were the countries with the most representatives among the 15 cities with the highest cost of living in Africa.

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Statista (2025). Cost of living index in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1240947/cost-of-living-index-usa-by-state/
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Cost of living index in the U.S. 2024, by state

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 27, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
United States
Description

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.

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