Coffee fell to 303.60 USd/Lbs on July 18, 2025, down 1.17% from the previous day. Over the past month, Coffee's price has fallen 4.35%, but it is still 27.46% higher than a year ago, 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 July of 2025.

In 2024, 67 percent of survey respondents in the United States stated that they drank coffee within the last day. About 26 percent of U.S. respondents had drunk espresso-based beverages instead. Coffee brands in the U.S. In 2020, Folgers produced over one billion U.S. dollars’ worth of sales in the United States, making it the leading brand of regular ground coffee by a significant margin. Total sales numbers generated by private coffee labels amounted to some 424 million U.S. dollars. Folgers Coffee was first introduced in 1850, and by 2020, had the largest ground coffee market share in the United States. The coffee giant was followed by other well-known brands, such as Maxwell House, Starbucks, and Dunkin’ Donuts. Arabica vs. Robusta In the commercial coffee industry, there are two main types of coffee species: Arabica and Robusta. Coffee beans of the Arabica variety are slightly larger, produce a smooth and aromatic taste, and are the most commonly produced coffee bean variety: in 2023/24, just over 97 million bags (60 kilograms each) of Arabica coffee were produced worldwide. Robusta beans are generally smaller and rounder, cheaper to cultivate, and taste quite bitter. Just over 74 million bags of this coffee type were produced during the same marketing year.

The statistic highlights the results of an online survey conducted by the National Coffee Association (NCA) as of January 2024. U.S. survey respondents were interviewed if they had consumed traditional specialty coffee the day before. The survey results revealed that 17 percent of African-American respondents drank a specialty coffee beverage the day before.

Use Cases for the USK-Coffee Project

1. Quality Assurance in Coffee Production

The model can be implemented to automate the process of checking coffee beans during sorting. By identifying DEFECT, LONGBERRY, PEABERRY, and PREMIUM beans, it ensures high standards in quality control. This enhances the efficiency of the sorting process, minimizes manual errors, and maintains consistent product quality.

2. Coffee Trade and Retail

Online coffee retailers can use this model to validate the type of coffee beans being sold on their platforms. This ensures that customers receive exactly what they are expecting when purchasing coffee beans. It can also assist sellers in categorizing their inventory accurately, improving customer satisfaction and trust.

3. Agriculture Research

Researchers studying coffee plants can leverage this model to visually classify different types of coffee beans. This aids in their research by speeding up the categorization process and providing more reliable data for studies related to coffee genetics, cultivation, and quality improvement.

4. Coffee Education

The model can be integrated into interactive educational platforms designed for coffee enthusiasts, baristas, and industry professionals. It helps learners distinguish between different coffee classes, enhancing their knowledge and expertise seamlessly.

5. Automated Coffee Grading

By using this model within machines designed for automated coffee grading, producers and processors can improve the efficiency and accuracy of the grading process. This automation reduces the reliance on manual inspections while maintaining or exceeding current grading standards.

Dataset File Framework

The dataset, USK-Coffee, is organized as follows:

USK-Coffee
|-- test 1600
|  |-- defect (400 Images)
|  |-- longberry (400 Images)
|  |-- peaberry (400 Images)
|  |-- premium (400 Images)
|-- train 4800
|  |-- defect (1200 Images)
|  |-- longberry (1200 Images)
|  |-- peaberry (1200 Images)
|  |-- premium (1200 Images)
|-- val 1600
|  |-- defect (400 Images)
|  |-- longberry (400 Images)
|  |-- peaberry (400 Images)
|  |-- premium (400 Images)

Dataset Annotation Team

The dataset annotations were contributed by the following team members: - Imam Sayuti, S.Tr.Kom., M.T. - Fatimah, S.T - Dr. Ir. Kahlil, S.T., M.Eng (Supervisor)

Data Source and Base

The dataset is provided by the Computer Vision Research Group (https://comvis.unsyiah.ac.id/usk-coffee/) and is based on the research paper:

Febriana, A., Muchtar, K., Dawood, R., Lin, CY. (2022, June). "USK-COFFEE Dataset: A Multi-class Green Arabica Coffee Bean Dataset for Deep Learning." In 2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom). IEEE.

Exports of Primary Prds - Unroasted Coffee in Brazil increased to 719.88 USD Million in December from 570.33 USD Million in November of 2021. This dataset includes a chart with historical data for Brazil Exports of : Primary Prds - Unroasted Coffee.

Imports of Green Coffee in the United States increased to 422.11 USD Million in February from 371.12 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Imports of Green Coffee.

Coffee is one of the most widely consumed beverages in the world. In 2023/24, approximately *** million 60 kilogram bags of coffee were consumed worldwide, a slight increase from about *** million bags in the previous year. Coffee Brewing Innovations The coffee industry is regularly coming up with innovative new methods for brewing coffee and serving it. Single cup brewers are a relatively new innovation which offer a quick and mess-free coffee brewing method for when one only wants a single cup of coffee without the hassle of brewing an entire pot. Cold Brew Coffee Cold brew coffee is made by leaving coffee to brew in cold or room temperature water for 12 to 24 hours and results in a mellower, less acidic tasting coffee. It has become a popular menu item at coffee shops and cafes, but it also easy to make at home. The market for cold brew coffee was valued at *** million U.S. dollars in 2017, and is expected to reach a staggering **** billion U.S. dollars in market value by 2023.

64214 Global import shipment records of Coffee Bean with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Graph and download economic data for Global price of Coffee, Other Mild Arabica (PCOFFOTMUSDM) from Jan 1990 to Apr 2025 about coffee, World, and price.

Colombia CO: Exports: Coffee data was reported at 2.473 USD bn in 2014. This records an increase from the previous number of 1.884 USD bn for 2013. Colombia CO: Exports: Coffee data is updated yearly, averaging 1.069 USD bn from Dec 1948 (Median) to 2014, with 67 observations. The data reached an all-time high of 3.046 USD bn in 1986 and a record low of 225.200 USD mn in 1948. Colombia CO: Exports: Coffee data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Colombia – Table CO.IMF.IFS: Trade Statistics: Annual.

Brazil Exports: Coffee data was reported at 413.683 USD mn in Aug 2020. This records an increase from the previous number of 375.442 USD mn for Jul 2020. Brazil Exports: Coffee data is updated monthly, averaging 194.202 USD mn from Jan 1970 (Median) to Aug 2020, with 608 observations. The data reached an all-time high of 883.821 USD mn in Oct 2011 and a record low of 12.798 USD mn in Oct 1977. Brazil Exports: Coffee data remains active status in CEIC and is reported by Special Secretariat for Foreign Trade and International Affairs. The data is categorized under Global Database’s Brazil – Table BR.JAB014: Exports: Principal Commodities: Value (Discontinued). Foreign Trade Secretariat started to adopt only international product classifications maintained by the UN. Both the Factor Aggregate and Product Group classification do not have a clear methodology, do not have national (IBGE) and international (UN) comparability and do not have revisions, preserving distortions in relation to the Harmonized System and changes in the Brazilian agenda. The related series had been reclassified to Economic Activity classification.

Brazil BR: Exports: Coffee data was reported at 4.843 USD bn in 2016. This records a decrease from the previous number of 5.555 USD bn for 2015. Brazil BR: Exports: Coffee data is updated yearly, averaging 1.382 USD bn from Dec 1948 (Median) to 2016, with 69 observations. The data reached an all-time high of 8.000 USD bn in 2011 and a record low of 490.700 USD mn in 1948. Brazil BR: Exports: Coffee data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Brazil – Table BR.IMF.IFS: Trade Statistics: Annual.

3337 Global export shipment records of Indian Coffee Beans with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Here are a few use cases for this project:

1. Coffee Quality Control: "Semangat Wisudah" can be used by coffee industries to ensure the quality of their coffee beans. By identifying specific classes of coffee beans, they can segregate the damaged or imperfect ones like 'berlubang lebih dari satu' (more than one hole), 'biji pecah' (split bean), and 'berlubang satu' (single hole) to maintain the premium quality and consistency of their products.

2. Agricultural Automation: This computer vision model can be used in automated harvesting machines to separate the quality beans from the damaged ones during the harvesting process, speeding up the harvesting process and reducing labor cost.

3. Coffee Roasters: For coffee roasters, using this model could help in obtaining a consistent coffee roast. By filtering out the beans that have holes or are split, they can ensure that all beans are roasted equally, enhancing the flavor of the final product.

4. Coffee Research: Researchers who study coffee beans and their quality can use this model to quickly identify and categorize the different types of beans they are dealing with, thus supporting their research and analysis process.

5. Coffee Trading: The model can be used by coffee traders or salespersons to ensure the beans they are buying or selling are of high quality. Through quick detection of the imperfect beans, they can establish the true value of the coffee bag they are dealing with.

U.S. consumers demand variety, quality, and convenience in the foods they consume. As Americans have become wealthier and more ethnically diverse, the American food basket reflects a growing share of tropical products, spices, and imported gourmet products. Seasonal and climatic factors drive U.S. imports of popular types of fruits and vegetables and tropical products, such as cocoa and coffee. In addition, a growing share of U.S. imports can be attributed to intra-industry trade, whereby agricultural-processing industries based in the United States carry out certain processing steps offshore and import products at different levels of processing from their subsidiaries in foreign markets. This data set provides import values of edible products (food and beverages) entering U.S. ports and their origin of shipment. Data are from the U.S. Department of Commerce, U.S. Census Bureau. Food and beverage import values are compiled by calendar year into food groups corresponding to major commodities or level of processing. At least 10 years of annual data are included, enabling users to track long-term growth patterns.

The statistic highlights the results of an online survey conducted by the National Coffee Association (NCA) as of January 2024. U.S. survey respondents were interviewed if they had consumed espresso-based beverages the day before. The survey results revealed that 39 percent of African-American respondents drank espresso-based beverages the day before.

Between 2015 and 2022, numerous consuming countries in North America, Europe, and Oceania have proposed or passed legislation aimed to improve the environmental and social sustainability of businesses’ supply chains. These fall into three categories: disclosure-based legislation, mandating that companies report on sustainability-related risks and their approach to reducing it; due diligence legislation, which mandates companies to implement procedures to assess, mitigate, and remediate sustainability-related risks in their supply chains; and trade-based legislation, which prohibits the import of specific types of goods linked to adverse outcomes. We can further distinguish between single-issue legislation on the issues of labor problems (modern slavery/forced labor/child labor) and deforestation in the supply chain, and legislations with broader human rights and environmental scope. This database and the related report aim to provide an overview of the status, scope, and requirements of various laws that are tabled or already in force, with a particular focus on how they are likely to affect the coffee sector and actors within it.

2023 update:
The 2023 version of the database updates the status of the respective regulations and expands the scope of search also to emerging consuming countries (e.g. in Asia) and producing countries (e.g. in Latin America). Please see country scope below. In the 2023 version of the database, we further added the category of "National Strategies, Action Plans, and Guidelines" to refer to soft law approaches that are more common in certain regions (such as Asia) to date. For completeness, we furthermore added select regulations (e.g. the US Uyghur Forced Labor Prevention Act) that have likely low relevance to the coffee sector but indicate a broader trend of the use of due diligence and trade instruments. The risk level of each legislation for coffee actors is described in column AQ. Green highlighted names of legislations highlight new additions to the database, while green highlighted cells indicate changes in criteria of legislations that were already part of the 2022 database.

This database was last updated on 14.09.2023, and contains information that was correct to the best of the authors' knowledge up to that date.

In 2025, Australia's at-home coffee market was worth around 1.5 billion U.S. dollars. In comparison, the out-of-home coffee market revenue amounted to around 11.35 billion U.S. dollars that same year. By 2029, the out-of-home coffee market in the country was expected to be worth around 13.2 billion U.S. dollars.

The revenue of the coffee market in Australia was forecast to continuously increase between 2025 and 2029 by around 2.1 billion U.S. dollars. By 2029, Australia's coffee market revenue is expected to amount to over 14.9 billion U.S. dollars. Roast coffee represents the majority of revenue generated by the Australian coffee market by segment.

In 2025, the average price per unit of instant coffee in Australia was around 29.7 U.S. dollars. In comparison, the average price per unit of roast coffee was around 18.45 U.S. dollars. By 2029, the average price per unit of instant coffee in Australia is expected to have risen to over 32 U.S. dollars.