Sugar consumption in the United States has been on the rise in the past decade. Since 2019/2020, Americans consumed over ** million metric tons of sugar, up from about ** million metric tons in 2009/2010. Sugar retail in the United States Sugar is readily available and affordable in the United States, which perhaps explains why sugar consumption has increased over the last several years. The average retail price per pound of granulated sugar in the U.S. was just above ** cents in 2021. The price of sugar in the U.S. peaked in 2012 at ** cents per pound. U.S. sugar production Sugar is generally derived from two distinct crops, sugar cane and sugar beets. The United States grows both crops in large amounts. In 2022, about **** million tons of sugar cane were grown and harvested in the United States. The two U.S. states with the highest production volume of sugar cane in that year were Florida and Louisiana. In that same year, about **** million tons of sugar beets were produced.

Sugar fell to 16.46 USd/Lbs on July 30, 2025, down 0.78% from the previous day. Over the past month, Sugar's price has risen 4.89%, but it is still 13.39% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Sugar - values, historical data, forecasts and news - updated on July of 2025.

BackgroundCarbohydrates are the major contributor to the energy intake of worldwide population. There is established evidence of links of carbohydrate quality with human health. Knowledge of specific carbohydrate in packaged food, such as added and free sugars, could help further investigate this link, however this information is generally not available.ObjectiveTo develop an algorithm to predict the content of free sugars in a global database of packaged foods and beverages; and test the applicability of the algorithm to assess carbohydrate quality in packaged food products from different countries and monitor the evolution over time. Carbohydrate quality was defined using a 10:1|1:2 ratio for carbohydrate, fibers and free sugar, i.e., for every 10 g of total carbohydrates in a diet or product, there is at least 1 g of dietary fibers, and less than 2 g of free sugars for every 1 g of dietary fibers.MethodsWe used a machine learning approach to predict added and free sugars, which enabled us to predict the carbohydrate quality of products from a global database of packaged food. Our predictions were tested by splitting the dataset into training, validation, and test sets, using US data.ResultsWe were able to predict free sugars and carbohydrate quality for 424,543 products in the U.S. and in 14 countries. The overall mean absolute error on the test set was 0.96 g/100 g of product. The predictions generalized with a high accuracy to non-US countries, and we were able to effectively predict the proportion of products meeting the 10:1|1:2 criteria in the food supply of 15 countries.ConclusionOur methodology achieved high accuracy and is fully automated; it may be applied to other databases of packaged products and can be easily applied for continuous monitoring of the carbohydrate quality of the global supply of packaged food.

This dataset shows a comparison of the production of staple grains, green coffee, and sugar in El Salvador, Guatemala, Honduras, and Nicaragua. Units of measurement are: staple grains in thousands of metric tons (1,000 MT), coffee in thousands of 60-kilogram bags (K.60Kg Bags), and sugar in thousands of hectares (K.HA). The data are from the United States Department of Agriculture (USDA) database.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Two datasets in the EOS-WEBSTER US County Data Collection provide county-level data for crop acreage, production and yield statistics. Crop data for 22 different field crops were acquired from the National Agricultural Statistical Service (NASS) for 1972 through 1998. One dataset provides data for individual varieties/types of each crop while the second dataset provides summary data by crop only. Data can be subset by irrigated and non-irrigated areas. Sucrose content, where applicable, is also included.

EOS-WEBSTER provides seven datasets which provide county-level data on agricultural management, crop production, livestock, soil properties, geography and population. These datasets were assembled during the mid-1990's to provide driving variables for an assessment of greenhouse gas production from US agriculture using the DNDC agro-ecosystem model [see, for example, Li et al. (1992), J. Geophys. Res., 97:9759-9776; Li et al. (1996) Global Biogeochem. Cycles, 10:297-306]. The data (except nitrogen fertilizer use) were all derived from publicly available, national databases. Each dataset has a separate DIF.

The US County data has been divided into seven datasets.

 US County Data Datasets:

 1) Agricultural Management
 2) Crop Data (NASS Crop data)
 3) Crop Summary (NASS Crop data)
 4) Geography and Population
 5) Land Use
 6) Livestock Populations
 7) Soil Properties

Comparison of mean overall added sugar intake across interaction of age and gender.

Ghana Exports of sugars and sugar confectionery was US$2.5 Million during 2023, according to the United Nations COMTRADE database on international trade. Ghana Exports of sugars and sugar confectionery - data, historical chart and statistics - was last updated on July of 2025.

Rwanda Imports of Sugars and sugar confectionery was US$194.82 Million during 2022, according to the United Nations COMTRADE database on international trade. Rwanda Imports of Sugars and sugar confectionery - data, historical chart and statistics - was last updated on July of 2025.