6 datasets found
  1. Price change of music festival tickets in the U.S. 2024

    • statista.com
    Updated Jun 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Price change of music festival tickets in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1536500/music-festival-tickets-price-change-us/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    A 2024 analysis looked at how the ticket prices of selected music festivals in the United States changed compared to 2014. Electric Forest, held in Michigan, reported the highest price increase among the events in the ranking, with its admission cost growing by ** percent. Overall, the price change of all the selected festivals was higher than the U.S. national inflation rate over the period considered.

  2. Ticket price at U.S. movie theaters 1971-2022

    • statista.com
    Updated Sep 11, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Ticket price at U.S. movie theaters 1971-2022 [Dataset]. https://www.statista.com/statistics/1400207/average-ticket-price-movie-theater-us/
    Explore at:
    Dataset updated
    Sep 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to a recent report, the cost of a movie ticket in the United States has seen an increase over the years. In 2022, the average ticket price reached 10.53 U.S. dollars, up from 9.16 U.S. dollars in 2019. However, when considering inflation, the average ticket price has remained relatively stable.

  3. Envestnet | Yodlee's De-Identified Spending Data | Row/Aggregate Level | USA...

    • datarade.ai
    .sql, .txt
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Envestnet | Yodlee, Envestnet | Yodlee's De-Identified Spending Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts [Dataset]. https://datarade.ai/data-products/envestnet-yodlee-s-de-identified-spending-data-row-aggreg-envestnet-yodlee
    Explore at:
    .sql, .txtAvailable download formats
    Dataset provided by
    Yodlee
    Envestnethttp://envestnet.com/
    Authors
    Envestnet | Yodlee
    Area covered
    United States of America
    Description

    Envestnet®| Yodlee®'s Spending Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

    Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

    We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

    Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

    Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

    Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

    1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

    2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

    3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

  4. F

    Consumer Price Index for All Urban Consumers: Airline Fares in U.S. City...

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Consumer Price Index for All Urban Consumers: Airline Fares in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUSR0000SETG01
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Airline Fares in U.S. City Average (CUSR0000SETG01) from Jan 1989 to May 2025 about air travel, travel, urban, consumer, CPI, price index, indexes, price, and USA.

  5. Envestnet | Yodlee's De-Identified Food and Grocery Transaction Data |...

    • datarade.ai
    .sql, .txt
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Envestnet | Yodlee, Envestnet | Yodlee's De-Identified Food and Grocery Transaction Data | Row/Aggregate Level | USA Consumer Data covering 3600+ Companies | 90M+ Accts [Dataset]. https://datarade.ai/data-products/envestnet-yodlee-s-de-identified-food-and-grocery-transacti-envestnet-yodlee
    Explore at:
    .sql, .txtAvailable download formats
    Dataset provided by
    Yodlee
    Envestnethttp://envestnet.com/
    Authors
    Envestnet | Yodlee
    Area covered
    United States of America
    Description

    Envestnet®| Yodlee®'s Electronic Payment Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

    Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

    We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

    Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

    Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

    Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

    1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

    2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

    3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

  6. T

    United States Michigan 5-Year Inflation Expectations

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, United States Michigan 5-Year Inflation Expectations [Dataset]. https://tradingeconomics.com/united-states/michigan-5-year-inflation-expectations
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Feb 28, 1979 - Jun 30, 2025
    Area covered
    United States
    Description

    Michigan 5 Year Inflation Expectations in the United States decreased to 4 percent in June from 4.20 percent in May of 2025. This dataset includes a chart with historical data for the United States Michigan 5-Year Inflation Expectations.

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2025). Price change of music festival tickets in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1536500/music-festival-tickets-price-change-us/
Organization logo

Price change of music festival tickets in the U.S. 2024

Explore at:
Dataset updated
Jun 25, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
United States
Description

A 2024 analysis looked at how the ticket prices of selected music festivals in the United States changed compared to 2014. Electric Forest, held in Michigan, reported the highest price increase among the events in the ranking, with its admission cost growing by ** percent. Overall, the price change of all the selected festivals was higher than the U.S. national inflation rate over the period considered.

Search
Clear search
Close search
Google apps
Main menu