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.
City Revenues and Expenses from the Operating Budget from 2012 to Present, updated every night from the City's JD Edwards ledger.
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.
U.S. Government Workshttps://www.usa.gov/government-works
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The operating budget portion of Open Budget BR allows users to drill down into spending categories such as department-level and service-specific budgets. Browse the budget based on the fund or department and drill down to each spending category to better understand departmental expenses and revenue sources along with budgeted versus actual expenses incurred throughout the year, which can be viewed in greater detail at checkbook.brla.gov.
This dataset provides additional information about expense and revenue accounts in the City’s annual budget. Use this to supplement the Operating and CIP budget datasets. Read our explanation on how to join the reference datasets to the budget datasets.
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 expenditures dataset includes a listing and description of City-Parish department-level spending. Data is captured from January 1, 2018 to present as any data prior to this date resides in multiple disparate systems in various formats, which were subsequently streamlined through the implementation of the City-Parish's enterprise resource planning system financial module in late 2017. In an effort to protect certain information telephone numbers and account numbers are masked with X's. Also, the Check Number field only includes the last 4 digits of the check number.
The graph shows the world's most expensive cities to live, compared to New York City. Zurich is with a value of 170 the most expensive city to live.
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Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for St. Louis city, MO (MWACL29510) from 2009 to 2023 about St. Louis City, MO; St. Louis; adjusted; MO; average; wages; real; and USA.
The dataset illustrates the breakdown of total pension expenses for New York City into three categories: City Actuarial Systems, Non-City Systems and Non-Actuarial Systems. Data is reported in units of thousands. Updates are posted two times per year, in Financial Plan Detail for January Plan and in Message of the Mayor for Executive Plan.
U.S. Government Workshttps://www.usa.gov/government-works
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Data Description: This data set contains all City of Cincinnati expenses by object code and day. The object code is the descriptor explaining the nature of the expense (personnel; overtime; office supplies; etc.)
Data Creation: This data is pulled directly from the City's financial software; which centralizes all department financial transactions city wide.
Data Created By: The Cincinnati Financial System (CFS)
Refresh Frequency: Daily
CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/City-Spending/cuw9-nu34/
Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.
Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).
Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad
Compared to the overall average of 30 different major cities in the United States, building materials in San Francisco were more expensive than in Chicago. Opposed this is a city like Detroit, Michigian, where the price index of building materials was slightly below the average. What this overview tries to do, then, is compare the major cities against each other and whether one was relatively more expensive than the other when it comes to construction costs. This is especially visible for installation - such as HVAC. The city of New York reached an index of 174 in May 2021, meaning installation costs here were around 74 percent higher than the average cost for the 30 cities combined. Cities found in the state of Texas made up the other end of that spectrum: Installation costs in San Antonio, Houston and Dallas were between 30 to 40 percent lower than the overall average.
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A dataset comparing monthly living costs across major cities in China, including rent, food, transport, and more for ESL teachers.
U.S. Government Workshttps://www.usa.gov/government-works
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2002-03 to 2022-23 City Financial Transactions Report - Expenditures, for the finance application.
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License information was derived automatically
Cost of living data based on food, housing, utilities, transportation, healthcare, and consumer discretionary spending in the United States.
Revenue line item data extracted from the yearly certified budget of Iowa cities.
This dataset is to provide expense categories in Miscellaneous Budget. Amount is in exact dollar. This dataset is updated two times per year after publication of the Executive and Adopted Budget, usually in April and June respectively.
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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.
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Graph and download economic data for Expenditures: Entertainment by Type of Area: Urban: Central City (CXUENTRTAINLB1803M) from 2003 to 2020 about entertainment, expenditures, urban, and USA.
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.