69 datasets found
  1. Groceries price increase in the U.S. 2021-2024, by category

    • statista.com
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    Statista, Groceries price increase in the U.S. 2021-2024, by category [Dataset]. https://www.statista.com/statistics/1301086/grocery-categories-price-increase-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2021 - Dec 2024
    Area covered
    United States
    Description

    Food price increases hit the egg category the hardest between December 2021 and December 2024 in the United States. The price of eggs increased by **** percent in 2024.

  2. Rate of inflation for food in the United Kingdom (UK) 2015-2025

    • statista.com
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    Statista, Rate of inflation for food in the United Kingdom (UK) 2015-2025 [Dataset]. https://www.statista.com/statistics/537050/uk-inflation-rate-food-in-united-kingdom/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2015 - Jul 2025
    Area covered
    United Kingdom
    Description

    In July 2025, the inflation rate for food prices in the United Kingdom was measured at 4.9 percent. A period of continuous deflation between March 2015 and January 2017 preceded a return to a sustained rise in the cost of food from February 2017 onwards. While food prices were deflating between September 2020 and July 2021, they started increasing rapidly from August 2021 to March 2023. The inflation rate started to decline from April 2023, but is picking up again in 2025.Inflation rate and consumer price indexInflation is commonly measured via the consumer price index, which illustrates changes to prices paid by consumers for a representative basket of goods and services. An annualized percentage change in the price index constitutes a measure of inflation. In order to maintain an inflation rate at a stable level, to enable the general public and businesses to plan their spending, the Government set a two percent inflation target for the Bank of England. The discounter boom The increase in food prices in the United Kingdom has shifted shopping behaviors amongst consumers. Value is now key and shoppers are changing their retailer loyalties. Aldi, the German discount supermarket retailer, overtook Morrisons as Great Britain's fourth largest supermarket in September of 2022. Aldi's market share reached double digits for the first time in April 2023. It is yet to be seen if Lidl, Aldi's discounter competitor, can also continue to rise up in the ranks and eventually take over Morrisons as the fifth leading food retailer.

  3. y

    US Consumer Price Index

    • ycharts.com
    html
    Updated Oct 24, 2025
    + more versions
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    Bureau of Labor Statistics (2025). US Consumer Price Index [Dataset]. https://ycharts.com/indicators/us_consumer_price_index
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    htmlAvailable download formats
    Dataset updated
    Oct 24, 2025
    Dataset provided by
    YCharts
    Authors
    Bureau of Labor Statistics
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1947 - Sep 30, 2025
    Area covered
    United States
    Variables measured
    US Consumer Price Index
    Description

    View monthly updates and historical trends for US Consumer Price Index. from United States. Source: Bureau of Labor Statistics. Track economic data with Y…

  4. Data from: Rising food prices in Saudi Arabia

    • figshare.com
    pdf
    Updated May 31, 2023
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    Riyazuddin Qureshi (2023). Rising food prices in Saudi Arabia [Dataset]. http://doi.org/10.6084/m9.figshare.1517808.v1
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    pdfAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Riyazuddin Qureshi
    License

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

    Area covered
    Saudi Arabia
    Description

    ABSTRACT Food prices play a major role in setting inflation rates, and in recent years’ global climatic conditions has worsened a lot while global demand is increasing due to the growth of the middle class in countries such as China and India. Rising food prices remains a key concern for the government of Saudi Arabia. Saudi Arabia remains vulnerable to increases in food prices due to its high dependence on imports. The Saudi economy is an open-market based economy which is reflected by data of foreign trade with trading partners of the Kingdom. High degree of economic openness of a country causes the domestic inflation rate to be affected by change in the prices of goods in the country of origin. Saudi government is facing the challenge of limiting inflation amid a spike in global food prices. Another major challenge to the effectiveness of the Saudi monetary policy is the lack of autonomy due to the pegged exchange rate system with the US dollar. This paper attempts to study the market dynamics of the kingdom of Saudi Arabia, drivers responsible for inflation and measures that has been taken by the government to deal with the situation.

  5. T

    Natural gas - Price Data

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 3, 2025
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    TRADING ECONOMICS (2025). Natural gas - Price Data [Dataset]. https://tradingeconomics.com/commodity/natural-gas
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Dec 3, 2025
    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
    Apr 3, 1990 - Dec 3, 2025
    Area covered
    World
    Description

    Natural gas rose to 4.94 USD/MMBtu on December 3, 2025, up 2.04% from the previous day. Over the past month, Natural gas's price has risen 13.71%, and is up 62.29% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on December of 2025.

  6. T

    Gold - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Gold - Price Data [Dataset]. https://tradingeconomics.com/commodity/gold
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    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Dec 2, 2025
    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
    Jan 3, 1968 - Dec 2, 2025
    Area covered
    World
    Description

    Gold fell to 4,199.97 USD/t.oz on December 2, 2025, down 0.75% from the previous day. Over the past month, Gold's price has risen 4.93%, and is up 58.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on December of 2025.

  7. Simon-Ehrlich bet

    • kaggle.com
    zip
    Updated Jan 6, 2025
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    willian oliveira (2025). Simon-Ehrlich bet [Dataset]. https://www.kaggle.com/datasets/willianoliveiragibin/simon-ehrlich-bet
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    zip(2930 bytes)Available download formats
    Dataset updated
    Jan 6, 2025
    Authors
    willian oliveira
    License

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

    Description

    In 1980, the biologist Paul Ehrlich agreed to a bet with the economist Julian Simon on how the prices of five materials would change over the next decade.

    Paul Ehrlich had a clear expectation. He thought population growth would quickly deplete the planet’s resources.1 As a consequence, he expected that the cost of resources — including minerals — would rise steeply as they became more scarce.2

    This claim got the attention of Julian Simon, who expected the opposite. Simon thought that human innovation and ingenuity would overcome resource shortages, and the price of resources would, therefore, not rise but fall. In the pages of the Social Science Quarterly, he challenged Ehrlich to put money on the line.

    Simon offered Ehrlich the chance to choose any resource he wanted for the bet. Ehrlich chose five: chromium, copper, nickel, tin, and tungsten. The two bet $1,000 — $200 on each metal — on whether inflation-adjusted prices of these resources in September 1990 would be higher or lower than they were in September 1980.3 If prices had increased, Ehrlich would win. If they had fallen, victory would go to Simon. The chart below shows us the change in the price of the five materials in 1990 compared to 1980. Note that this is based on the average prices that year, not necessarily the price in September of each year. But the final results of the bet are the same, regardless of whether you take annual average prices or those specifically in September.

    All five had become cheaper, so Simon won the bet (and Ehrlich did mail him the check).

    The cost of tungsten and tin was more than 60% lower. Copper was around 20% cheaper. Nickel and chromium were only slightly cheaper than a decade before. None of them had increased in price, contrary to Ehrlich’s prediction.

  8. Housing Prices Dataset

    • kaggle.com
    zip
    Updated Jan 12, 2022
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    M Yasser H (2022). Housing Prices Dataset [Dataset]. https://www.kaggle.com/datasets/yasserh/housing-prices-dataset
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    zip(4740 bytes)Available download formats
    Dataset updated
    Jan 12, 2022
    Authors
    M Yasser H
    License

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

    Description

    https://raw.githubusercontent.com/Masterx-AI/Project_Housing_Price_Prediction_/main/hs.jpg" alt="">

    Description:

    A simple yet challenging project, to predict the housing price based on certain factors like house area, bedrooms, furnished, nearness to mainroad, etc. The dataset is small yet, it's complexity arises due to the fact that it has strong multicollinearity. Can you overcome these obstacles & build a decent predictive model?

    Acknowledgement:

    Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81–102. Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.

    Objective:

    • Understand the Dataset & cleanup (if required).
    • Build Regression models to predict the sales w.r.t a single & multiple feature.
    • Also evaluate the models & compare thier respective scores like R2, RMSE, etc.
  9. c

    Infinity Rising Price Prediction Data

    • coinbase.com
    Updated Nov 20, 2025
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    (2025). Infinity Rising Price Prediction Data [Dataset]. https://www.coinbase.com/en-ar/price-prediction/infinity-rising-base-0xf25620f89d0e23a8ba7b11ab3235b66268794196
    Explore at:
    Dataset updated
    Nov 20, 2025
    Variables measured
    Growth Rate, Predicted Price
    Measurement technique
    User-defined projections based on compound growth. This is not a formal financial forecast.
    Description

    This dataset contains the predicted prices of the asset Infinity Rising over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

  10. o

    Replication data for: Credit Supply and the Price of Housing

    • openicpsr.org
    • doi.org
    Updated Oct 12, 2019
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    Giovanni Favara; Jean Imbs (2019). Replication data for: Credit Supply and the Price of Housing [Dataset]. http://doi.org/10.3886/E112894V1
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    Dataset updated
    Oct 12, 2019
    Dataset provided by
    American Economic Association
    Authors
    Giovanni Favara; Jean Imbs
    Time period covered
    1994 - 2005
    Area covered
    U.S. states, U.S. counties
    Description

    An exogenous expansion in mortgage credit has significant effects on house prices. This finding is established using US branching deregulations between 1994 and 2005 as instruments for credit. Credit increases for deregulated banks, but not in placebo samples. Such differential responses rule out demand-based explanations, and identify an exogenous credit supply shock. Because of geographic diversification, treated banks expand credit: housing demand increases, house prices rise, but to a lesser extent in areas with elastic housing supply, where the housing stock increases instead. In an instrumental variable sense, house prices are well explained by the credit expansion induced by deregulation. (JEL G21, G28, R21, R31)

  11. c

    Rising Phoenix Price Prediction Data

    • coinbase.com
    Updated Oct 20, 2025
    + more versions
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    (2025). Rising Phoenix Price Prediction Data [Dataset]. https://www.coinbase.com/en-es/price-prediction/base-rising-phoenix-bae4
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    Dataset updated
    Oct 20, 2025
    Variables measured
    Growth Rate, Predicted Price
    Measurement technique
    User-defined projections based on compound growth. This is not a formal financial forecast.
    Description

    This dataset contains the predicted prices of the asset Rising Phoenix over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

  12. Food & Drink Wholesaling in Greece - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Oct 19, 2025
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    IBISWorld (2025). Food & Drink Wholesaling in Greece - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/greece/industry/food-drink-wholesaling/200227
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    Dataset updated
    Oct 19, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Greece
    Description

    The Food and Beverage Wholesaling revenue is forecast to climb at a compound annual rate of 1.4% over the five years through 2025 to reach a valuation of €1,964.7 billion, including an estimated rise of 0.5% in 2025, while the average industry profit margin is expected to reach 4.8%. Wholesalers across the industry are dealing with rising costs because of supply chain disruptions, inflation, and higher prices set by manufacturers. Countries such as France, Italy, and Spain have experienced significant increases in food prices, particularly for chicken and eggs. Larger wholesalers continue to outpace smaller wholesalers by negotiating better deals with suppliers and operating more efficiently. While the sector is still fragmented, big players are steadily expanding their reach, making it harder for smaller companies to survive on tight profit. Intense competition forces wholesalers to pass these rising costs on to retailers, but profit growth remains limited since manufacturers keep raising their own prices. Wholesalers are enhancing their e-commerce operations to adapt to rising online shopping trends, particularly in the Netherlands, Denmark and Ireland. This is necessary to meet the fast delivery demands of online consumers, requiring better logistics and warehousing plans. Meanwhile, younger generations are choosing to drink less alcohol as interest in health and wellness grows. In response, retailers are reducing their alcohol orders, which may lower sales for wholesalers who mainly sell beer, wine, or spirits. Major wholesalers such as Metro AG and Booker are adapting quickly by supplying these healthier products and partnering with shops that have wellness sections. This strategic move is boosting their revenue and establishing them as dependable suppliers of health-focused drinks. The Food and Beverage Wholesaling revenue is forecast to grow at a compound annual rate of 4.3% over the five years through 2030 to reach a valuation of €2,425.7 billion. Wholesalers face potential threats as retailers and manufacturers aim to cut costs by bypassing them. Major UK supermarkets (like Morrisons and Asda) are sourcing locally, bypassing wholesalers. EIT Food, a food innovation community, draws attention to the increasing consumer demand for meat substitute food products across Europe due to rising health awareness. According to the Good Food Institute Europe, over 60% of consumers in France, Spain, Germany and Italy actively seek alternatives to traditional animal farming in 2023. Therefore, wholesalers must improve their services and offer more value to maintain relevance.

  13. Food & Drink Wholesaling in Denmark - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Oct 19, 2025
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    IBISWorld (2025). Food & Drink Wholesaling in Denmark - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/denmark/industry/food-drink-wholesaling/200227
    Explore at:
    Dataset updated
    Oct 19, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Denmark
    Description

    The Food and Beverage Wholesaling revenue is forecast to climb at a compound annual rate of 1.4% over the five years through 2025 to reach a valuation of €1,964.7 billion, including an estimated rise of 0.5% in 2025, while the average industry profit margin is expected to reach 4.8%. Wholesalers across the industry are dealing with rising costs because of supply chain disruptions, inflation, and higher prices set by manufacturers. Countries such as France, Italy, and Spain have experienced significant increases in food prices, particularly for chicken and eggs. Larger wholesalers continue to outpace smaller wholesalers by negotiating better deals with suppliers and operating more efficiently. While the sector is still fragmented, big players are steadily expanding their reach, making it harder for smaller companies to survive on tight profit. Intense competition forces wholesalers to pass these rising costs on to retailers, but profit growth remains limited since manufacturers keep raising their own prices. Wholesalers are enhancing their e-commerce operations to adapt to rising online shopping trends, particularly in the Netherlands, Denmark and Ireland. This is necessary to meet the fast delivery demands of online consumers, requiring better logistics and warehousing plans. Meanwhile, younger generations are choosing to drink less alcohol as interest in health and wellness grows. In response, retailers are reducing their alcohol orders, which may lower sales for wholesalers who mainly sell beer, wine, or spirits. Major wholesalers such as Metro AG and Booker are adapting quickly by supplying these healthier products and partnering with shops that have wellness sections. This strategic move is boosting their revenue and establishing them as dependable suppliers of health-focused drinks. The Food and Beverage Wholesaling revenue is forecast to grow at a compound annual rate of 4.3% over the five years through 2030 to reach a valuation of €2,425.7 billion. Wholesalers face potential threats as retailers and manufacturers aim to cut costs by bypassing them. Major UK supermarkets (like Morrisons and Asda) are sourcing locally, bypassing wholesalers. EIT Food, a food innovation community, draws attention to the increasing consumer demand for meat substitute food products across Europe due to rising health awareness. According to the Good Food Institute Europe, over 60% of consumers in France, Spain, Germany and Italy actively seek alternatives to traditional animal farming in 2023. Therefore, wholesalers must improve their services and offer more value to maintain relevance.

  14. w

    Consumer prices; rent increase for dwellings by landlord

    • data.wu.ac.at
    • data.overheid.nl
    • +2more
    atom feed, json
    Updated Jul 13, 2018
    + more versions
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    Centraal Bureau voor de Statistiek (2018). Consumer prices; rent increase for dwellings by landlord [Dataset]. https://data.wu.ac.at/schema/data_overheid_nl/NTljZDkzMmEtMjAxYi00YzBiLWI4ZTctODAzNmI3MDg3NzI1
    Explore at:
    atom feed, jsonAvailable download formats
    Dataset updated
    Jul 13, 2018
    Dataset provided by
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    70575d592e000715dbdc7cdfcee10df4a5e9cf7b
    Description

    This table includes the average increase of rent paid for dwellings in the Netherlands. It shows a breakdown regarding the rent change in- and excluding rent harmonisation. Another breakdown is for the commercial and non-commercial rent movements of dwellings. The rent change is given on an annual basis and is significant input for the housing price movements in the consumer price index.

    Data available from: 2009

    Status of the figures: All values are definite.

    Frequency: Discontinued on 10 October 2011.

  15. T

    Coffee - Price Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Coffee - Price Data [Dataset]. https://tradingeconomics.com/commodity/coffee
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Dec 2, 2025
    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
    Aug 16, 1972 - Dec 2, 2025
    Area covered
    World
    Description

    Coffee fell to 408.66 USd/Lbs on December 2, 2025, down 0.95% from the previous day. Over the past month, Coffee's price has risen 0.50%, and is up 38.54% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coffee - values, historical data, forecasts and news - updated on December of 2025.

  16. D

    Price Match Automation Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Price Match Automation Market Research Report 2033 [Dataset]. https://dataintelo.com/report/price-match-automation-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Price Match Automation Market Outlook



    According to our latest research, the global price match automation market size reached USD 1.42 billion in 2024, with a robust year-on-year growth trajectory. The market is expected to expand at a CAGR of 16.7% from 2025 to 2033, propelling the industry to a forecasted value of USD 6.12 billion by 2033. This remarkable growth is primarily fueled by the increasing adoption of dynamic pricing strategies, the proliferation of e-commerce channels, and the rising demand for real-time competitive intelligence across various retail and consumer-facing sectors.



    One of the key growth drivers in the price match automation market is the intensifying competition in the retail and e-commerce landscape. As consumers gain more access to price comparison tools and digital marketplaces, retailers and brands are under immense pressure to maintain competitive pricing without sacrificing margins. The advent of advanced price match automation solutions, powered by artificial intelligence and machine learning, enables businesses to monitor competitors’ prices in real-time and adjust their own pricing strategies dynamically. This not only enhances customer retention and acquisition but also significantly improves operational efficiency by automating what was once a labor-intensive process. The ability to instantly match or beat competitors’ prices has become a critical differentiator in a saturated market, driving widespread adoption of these solutions.



    Furthermore, the growing complexity of product assortments and the expansion into omnichannel retailing have contributed to the surging demand for price match automation. Retailers are increasingly dealing with a vast array of SKUs across multiple platforms, making manual price monitoring and adjustment virtually impossible at scale. Automation tools streamline this process by aggregating pricing data from numerous sources, analyzing market trends, and implementing rules-based or algorithmic price changes. This not only ensures price consistency across channels but also supports dynamic promotional strategies that can respond to real-time market shifts. The integration of price match automation with inventory management and customer relationship management systems further amplifies its value proposition, allowing businesses to optimize both pricing and stock levels for maximum profitability.



    Another significant factor propelling market growth is the rising consumer expectation for price transparency and fairness. In an era where shoppers can instantly compare prices online, businesses that fail to offer competitive pricing risk losing customers to more agile rivals. Price match automation empowers retailers and brands to proactively address this challenge by offering instant price adjustments, personalized discounts, and targeted promotions based on real-time market data. This not only enhances customer satisfaction and loyalty but also helps businesses build a reputation for fairness and responsiveness. Additionally, the adoption of price match automation is increasingly seen as a strategic investment, as it provides actionable insights into competitor behavior, market trends, and consumer preferences, enabling data-driven decision-making at all levels of the organization.



    From a regional perspective, North America currently leads the price match automation market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The high penetration of digital retail channels, robust technological infrastructure, and a mature consumer base in North America have accelerated the adoption of price match automation solutions. Meanwhile, Asia Pacific is poised for the fastest growth during the forecast period, driven by rapid e-commerce expansion, increasing smartphone adoption, and a burgeoning middle class seeking value-driven shopping experiences. Europe continues to demonstrate strong growth, particularly in markets with high online retail penetration such as the United Kingdom, Germany, and France. Latin America and the Middle East & Africa are gradually emerging as promising markets, fueled by digital transformation initiatives and growing investments in retail technology.



    Component Analysis



    The price match automation market is segmented by component into software and services. The software segment dominates the market, capturing a significant share in 2024, owing to the increasing demand for robust, scalable, and customizable solutions t

  17. c

    Rise of PNUT Price Prediction Data

    • coinbase.com
    Updated Nov 8, 2025
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    (2025). Rise of PNUT Price Prediction Data [Dataset]. https://www.coinbase.com/price-prediction/base-rise-of-pnut
    Explore at:
    Dataset updated
    Nov 8, 2025
    Variables measured
    Growth Rate, Predicted Price
    Measurement technique
    User-defined projections based on compound growth. This is not a formal financial forecast.
    Description

    This dataset contains the predicted prices of the asset Rise of PNUT over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

  18. T

    Gasoline - Price Data

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Gasoline - Price Data [Dataset]. https://tradingeconomics.com/commodity/gasoline
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Dec 2, 2025
    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
    Oct 3, 2005 - Dec 2, 2025
    Area covered
    World
    Description

    Gasoline fell to 1.86 USD/Gal on December 2, 2025, down 0.53% from the previous day. Over the past month, Gasoline's price has fallen 2.79%, and is down 4.95% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gasoline - values, historical data, forecasts and news - updated on December of 2025.

  19. Levin-Lin-Chu test results.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 8, 2023
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    Marceliano Rodriguez; Domingo Calvo-Dopico; Estefanía Mourelle (2023). Levin-Lin-Chu test results. [Dataset]. http://doi.org/10.1371/journal.pone.0261580.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Marceliano Rodriguez; Domingo Calvo-Dopico; Estefanía Mourelle
    License

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

    Description

    Levin-Lin-Chu test results.

  20. Food & Drink Wholesaling in Italy - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Oct 19, 2025
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    IBISWorld (2025). Food & Drink Wholesaling in Italy - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/italy/industry/food-drink-wholesaling/200227/
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    Dataset updated
    Oct 19, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Italy
    Description

    The Food and Beverage Wholesaling revenue is forecast to climb at a compound annual rate of 1.4% over the five years through 2025 to reach a valuation of €1,964.7 billion, including an estimated rise of 0.5% in 2025, while the average industry profit margin is expected to reach 4.8%. Wholesalers across the industry are dealing with rising costs because of supply chain disruptions, inflation, and higher prices set by manufacturers. Countries such as France, Italy, and Spain have experienced significant increases in food prices, particularly for chicken and eggs. Larger wholesalers continue to outpace smaller wholesalers by negotiating better deals with suppliers and operating more efficiently. While the sector is still fragmented, big players are steadily expanding their reach, making it harder for smaller companies to survive on tight profit. Intense competition forces wholesalers to pass these rising costs on to retailers, but profit growth remains limited since manufacturers keep raising their own prices. Wholesalers are enhancing their e-commerce operations to adapt to rising online shopping trends, particularly in the Netherlands, Denmark and Ireland. This is necessary to meet the fast delivery demands of online consumers, requiring better logistics and warehousing plans. Meanwhile, younger generations are choosing to drink less alcohol as interest in health and wellness grows. In response, retailers are reducing their alcohol orders, which may lower sales for wholesalers who mainly sell beer, wine, or spirits. Major wholesalers such as Metro AG and Booker are adapting quickly by supplying these healthier products and partnering with shops that have wellness sections. This strategic move is boosting their revenue and establishing them as dependable suppliers of health-focused drinks. The Food and Beverage Wholesaling revenue is forecast to grow at a compound annual rate of 4.3% over the five years through 2030 to reach a valuation of €2,425.7 billion. Wholesalers face potential threats as retailers and manufacturers aim to cut costs by bypassing them. Major UK supermarkets (like Morrisons and Asda) are sourcing locally, bypassing wholesalers. EIT Food, a food innovation community, draws attention to the increasing consumer demand for meat substitute food products across Europe due to rising health awareness. According to the Good Food Institute Europe, over 60% of consumers in France, Spain, Germany and Italy actively seek alternatives to traditional animal farming in 2023. Therefore, wholesalers must improve their services and offer more value to maintain relevance.

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Statista, Groceries price increase in the U.S. 2021-2024, by category [Dataset]. https://www.statista.com/statistics/1301086/grocery-categories-price-increase-us/
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Groceries price increase in the U.S. 2021-2024, by category

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Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Dec 2021 - Dec 2024
Area covered
United States
Description

Food price increases hit the egg category the hardest between December 2021 and December 2024 in the United States. The price of eggs increased by **** percent in 2024.

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