6 datasets found
  1. r

    Inflation Forecast Calculator — Euro Area, USA, Italy

    • rivaluta.it
    Updated Sep 3, 2025
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    Rivaluta.it (2025). Inflation Forecast Calculator — Euro Area, USA, Italy [Dataset]. https://www.rivaluta.it/inflation/estimate-inflation.asp
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    Dataset updated
    Sep 3, 2025
    Dataset provided by
    Rivaluta.it
    License

    https://www.dati.gov.it/iodl/2.0/https://www.dati.gov.it/iodl/2.0/

    Time period covered
    Oct 2025 - Nov 2025
    Area covered
    Italy, United States, Euro Area
    Description

    This page provides an educational tool to simulate and forecast consumer price indices for the Euro Area (HICP, Eurostat), the United States (CPI-U, BLS) and Italy (NIC with tobacco, ISTAT). Users can adjust monthly variations and visualize baseline, optimistic and pessimistic scenarios.

  2. UFC revenue and US inflation

    • kaggle.com
    zip
    Updated Aug 18, 2025
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    digitalChaos (2025). UFC revenue and US inflation [Dataset]. https://www.kaggle.com/datasets/digitalchaos666/ufc-revenue-and-us-inflation
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    zip(462 bytes)Available download formats
    Dataset updated
    Aug 18, 2025
    Authors
    digitalChaos
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    UFC revenue by year and US CPI-U (BLS) annual averages.

    Sources (official)

    Bureau of Labor Statistics (BLS) — CPI-U, annual averages (U.S. city average, All items); https://www.bls.gov/regions/mid-atlantic/data/consumerpriceindexannualandsemiannual_table.htm

    US Inflation Calculator – CPI-U 1913–2025 https://www.usinflationcalculator.com/inflation/consumer-price-index-and-annual-percent-changes-from-1913-to-2008/

    UFC revenue

    Wrestlenomics (how WWE and UFC made money in 2024): https://wrestlenomics.com/articles/2025/how-wwe-and-ufc-made-money-in-2024/?utm_source=chatgpt.com

    2015 article (context on business growth): https://www.celebritynetworth.com/articles/sports-news/business-was-very-good-for-the-ufc-in-2015-and-its-only-going-to-get-better/

  3. Monthly USD exchange rate against currency of 55 economies in Big Mac Index...

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Monthly USD exchange rate against currency of 55 economies in Big Mac Index 2025 [Dataset]. https://www.statista.com/statistics/1039342/average-annual-exchange-rates-developed-emerging-countries/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2025
    Area covered
    India, Azerbaijan, Hungary, Ukraine, Norway, Saudi Arabia, Nicaragua, Thailand, Denmark, Brazil
    Description

    One United States dollar was worth over ********* Indonesian rupiah in September 2025, the highest value in a comparison of over 50 different currencies worldwide. All countries and territories shown here are based on the Big Mac Index - a measurement of how much a single Big Mac is worth across different areas in the world. This exchange rate comparison reveals a strong position of the dollar in Asia and Latin America. Note, though, that several of the top currencies shown here do not rank among the most traded. The quarterly U.S. dollar exchange rate against the ten biggest forex currencies only contains the Korean won and the Japanese yen.

  4. Big Mac index worldwide 2025

    • statista.com
    • abripper.com
    Updated Oct 2, 2025
    + more versions
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    Statista (2025). Big Mac index worldwide 2025 [Dataset]. https://www.statista.com/statistics/274326/big-mac-index-global-prices-for-a-big-mac/
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    Dataset updated
    Oct 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    Worldwide
    Description

    At **** U.S. dollars, Switzerland has the most expensive Big Macs in the world, according to the January 2025 Big Mac index. Concurrently, the cost of a Big Mac was **** dollars in the U.S., and **** U.S. dollars in the Euro area. What is the Big Mac index? The Big Mac index, published by The Economist, is a novel way of measuring whether the market exchange rates for different countries’ currencies are overvalued or undervalued. It does this by measuring each currency against a common standard – the Big Mac hamburger sold by McDonald’s restaurants all over the world. Twice a year the Economist converts the average national price of a Big Mac into U.S. dollars using the exchange rate at that point in time. As a Big Mac is a completely standardized product across the world, the argument goes that it should have the same relative cost in every country. Differences in the cost of a Big Mac expressed as U.S. dollars therefore reflect differences in the purchasing power of each currency. Is the Big Mac index a good measure of purchasing power parity? Purchasing power parity (PPP) is the idea that items should cost the same in different countries, based on the exchange rate at that time. This relationship does not hold in practice. Factors like tax rates, wage regulations, whether components need to be imported, and the level of market competition all contribute to price variations between countries. The Big Mac index does measure this basic point – that one U.S. dollar can buy more in some countries than others. There are more accurate ways to measure differences in PPP though, which convert a larger range of products into their dollar price. Adjusting for PPP can have a massive effect on how we understand a country’s economy. The country with the largest GDP adjusted for PPP is China, but when looking at the unadjusted GDP of different countries, the U.S. has the largest economy.

  5. F

    Producer Price Index by Commodity: Pulp, Paper, and Allied Products:...

    • fred.stlouisfed.org
    json
    Updated Nov 25, 2025
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    (2025). Producer Price Index by Commodity: Pulp, Paper, and Allied Products: Packaging and Industrial Converting Paper [Dataset]. https://fred.stlouisfed.org/series/WPU091303
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    jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Commodity: Pulp, Paper, and Allied Products: Packaging and Industrial Converting Paper (WPU091303) from Jun 1981 to Sep 2025 about paper, commodities, PPI, industry, inflation, price index, indexes, price, and USA.

  6. F

    Producer Price Index by Industry: Paperboard Mills: Unbleached Kraft...

    • fred.stlouisfed.org
    json
    Updated Nov 25, 2025
    + more versions
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    (2025). Producer Price Index by Industry: Paperboard Mills: Unbleached Kraft Packaging and Industrial Converting Paperboard [Dataset]. https://fred.stlouisfed.org/series/PCU3221303221301
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Industry: Paperboard Mills: Unbleached Kraft Packaging and Industrial Converting Paperboard (PCU3221303221301) from Dec 1975 to Sep 2025 about paperboard, mills, wood, percent, PPI, industry, inflation, price index, indexes, price, and USA.

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    Learn how you can add new datasets to our index.

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Rivaluta.it (2025). Inflation Forecast Calculator — Euro Area, USA, Italy [Dataset]. https://www.rivaluta.it/inflation/estimate-inflation.asp

Inflation Forecast Calculator — Euro Area, USA, Italy

Explore at:
Dataset updated
Sep 3, 2025
Dataset provided by
Rivaluta.it
License

https://www.dati.gov.it/iodl/2.0/https://www.dati.gov.it/iodl/2.0/

Time period covered
Oct 2025 - Nov 2025
Area covered
Italy, United States, Euro Area
Description

This page provides an educational tool to simulate and forecast consumer price indices for the Euro Area (HICP, Eurostat), the United States (CPI-U, BLS) and Italy (NIC with tobacco, ISTAT). Users can adjust monthly variations and visualize baseline, optimistic and pessimistic scenarios.

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