Global Coffee Market Size Volume Per Capita by Country, 2023 Discover more data with ReportLinker!

Coffee fell to 373.93 USd/Lbs on October 10, 2025, down 0.83% from the previous day. Over the past month, Coffee's price has fallen 6.53%, but it is still 48.20% 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 October of 2025.

Brazil Agricultural Production: Coffee Beans data was reported at 3,405.267 Ton th in 2023. This records an increase from the previous number of 3,179.176 Ton th for 2022. Brazil Agricultural Production: Coffee Beans data is updated yearly, averaging 2,767.659 Ton th from Dec 1974 (Median) to 2023, with 50 observations. The data reached an all-time high of 4,405.416 Ton th in 1987 and a record low of 751.969 Ton th in 1976. Brazil Agricultural Production: Coffee Beans data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.RIB001: Agricultural Production.

The Coffee Sales Data dataset provides valuable insights into the performance of a coffee chain across various locations.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13090611%2F0f25997ba9b63b33c901471cb874aa83%2Fcisco_blog_canada_coffee.png?generation=1696189849175111&alt=media" alt=""> Key Attributes:

1.Area Code: A unique identifier for different geographical areas or regions where the coffee chain operates.

2.COGS (Cost of Goods Sold): The total cost incurred by the coffee chain in producing or purchasing the products it sells.

3.Difference between Actual and Target Profit: This attribute indicates how well the company performed in terms of profit compared to its target. It reflects the financial performance against predefined goals.

4.Date: The date of sales transactions, which allows for time-based analysis of sales trends and patterns.

5.Inventory Margin: The difference between the cost of maintaining inventory and the revenue generated from selling those inventory items.

6.Margin: The profit margin, which is the percentage of profit earned from sales. It's a critical financial metric.

7.Market Size: Information about the size of the market in each area, helping to understand the potential customer base and market dynamics.

8.Profit: financial gain achieved by the company after deducting the cost of goods sold (COGS) and other expenses from the revenue generated through sales.

9.Sales: represent the revenue generated from the coffee chain's products, reflecting its financial performance and customer demand.

Coffee is grown in more than 60 tropical countries on over 11 million ha by an estimated 25 million farmers, most of whom are smallholders. Several regional studies demonstrate the climate sensitivity of coffee (Coffea arabica) and the likely impact of climate change on coffee suitability, yield, increased pest and disease pressure and farmers’ livelihoods. The objectives of this paper are (i) to quantify the impact of progressive climate change to grow coffee and to produce high quality coffee in Nicaragua and (ii) to develop an adaptation framework across time and space to guide adaptation planning. We used coffee location and cup quality data from Nicaragua in combination with the Maxent and CaNaSTA crop suitability models, the WorldClim historical data and the CMIP3 global circulation models to predict the likely impact of climate change on coffee suitability and quality. We distinguished four different impact scenarios: Very high (coffee disappears), high (large negative changes), medium (little negative changes) and increase (positive changes) in climate suitability. During the Nicaraguan coffee roundtable, most promising adaptation strategies were identified, which we then used to develop a two-dimensional adaptation framework for coffee in time and space. Our analysis indicates that incremental adaptation may occur over short-term horizons at lower altitudes, whereas the same areas may undergo transformative adaptation in the longer term. At higher elevations incremental adaptation may be needed in the long term. The same principle and framework is applicable across coffee growing regions around the world.

This coffee bean dataset can be a valuable resource for any project related to coffee classification, sensory analysis, market trends, environmental impact, and quality control. The dataset includes features like bean size, shape, color, and other attributes, it could be used to classify different types or species of coffee beans (e.g., Arabica, Robusta, Liberica).

Forecast: Instant Coffee Market Size Volume in Denmark 2022 - 2026 Discover more data with ReportLinker!

Forecast: Coffee Market Size Volume in Saudi Arabia 2022 - 2026 Discover more data with ReportLinker!

Here are a few use cases for this project:

1. Coffee Quality Control: This model can be used in the coffee industry for quality control, by analyzing images of coffee beans and determining their roast types, hence ensuring consistency in coffee products.

2. Augmented Reality Shopping Assistant: It could be used in an AR application aimed at helping customers differentiate between various types of coffee at grocery stores or cafes, enhancing the shopping experience.

3. Agricultural Technology: The model can be used in ag-tech applications, helping farmers to identify and classify the state of coffee beans during the harvesting process, thereby increasing productivity and quality.

4. Coffee Machine Integration: The model could be integrated into high-end automatic coffee machines to adjust brewing parameters based on the type of coffee bean detected, thus enhancing the quality of the brewed coffee.

5. Coffee Education Applications: The model can be used in educational apps or websites about coffee, providing visual recognition and explanations about different types of coffee roasts and beans to users who are interested in learning more about coffee.

This data set contains world wide coffee exports from all countries for the years 1990 thru 2019. It was developed using the Excel file "Exports - calendar year" at https://www.ico.org/new_historical.asp . The units are those used in the coffee industry: "thousands of 60 kg bags".

This dataset compares the price of coffee across leading sandwich and bakery chains in the UK. It highlights pricing differences between operators, providing insight into competitive positioning and pricing strategy within the out-of-home coffee market.

Comprehensive dataset containing 37 verified Coffee shop businesses in Long An, Vietnam with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 1 verified Coffee roasters businesses in Long An, Vietnam with complete contact information, ratings, reviews, and location data.

Forecast: Coffee Market Size Volume in Thailand 2022 - 2026 Discover more data with ReportLinker!

With its origin-centric value proposition, the specialty coffee industry seeks to educate consumers about the value of the origin of coffee and how the relationship with farmers ensures quality and makes coffee a premium product. While the industry has widely used stories and visual cues to communicate this added value, research studying whether and how these efforts influence consumers' experiences is scarce. Through three experiments, we explored the effect of images that evoke the terroir of coffee on the perception of premiumness. Our results revealed that online images that resembled the broad origin of coffee (i.e., a farm) could influence premiumness expectations of coffee (Experiment 1). Similarly, a virtual reality environment that depicted this broad origin (vs. a control but not a city atmosphere) could enhance the perception of coffee premiumness for non-expert consumers (Experiment 2) and the enjoyment of the experience for coffee professionals (Experiment 3). Importantly, we found that congruence between the coffee and the virtual reality (VR) atmospheres mediated how much non-experts enjoyed the experience (Experiment 2). VR atmospheres also influenced expectations of sweetness and acidity for non-experts (Experiment 2). These findings serve as a steppingstone for further exploration of the effects of congruence between visual cues and product/brand attributes on premiumness expectations and perception, and more generally on consumer experience. From a practical standpoint, this study provides insights into key aspects for the development of immersive virtual product experiences.

Comprehensive dataset containing 1 verified Coffee stand businesses in Long An, Vietnam with complete contact information, ratings, reviews, and location data.

Forecast: Coffee Market Size Volume Per Capita in Philippines 2022 - 2026 Discover more data with ReportLinker!

Forecast: Coffee Market Size Volume in Malaysia 2022 - 2026 Discover more data with ReportLinker!

Forecast: Coffee Market Size Volume Per Capita in the US 2022 - 2026 Discover more data with ReportLinker!

Forecast: Coffee Market Size Volume Per Capita in Malaysia 2022 - 2026 Discover more data with ReportLinker!