100+ datasets found
  1. T

    Cotton - Price Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 11, 2025
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    TRADING ECONOMICS (2025). Cotton - Price Data [Dataset]. https://tradingeconomics.com/commodity/cotton
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    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Jul 11, 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
    Sep 1, 1913 - Jul 15, 2025
    Area covered
    World
    Description

    Cotton rose to 66.47 USd/Lbs on July 15, 2025, up 0.22% from the previous day. Over the past month, Cotton's price has risen 1.55%, but it is still 4.88% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Cotton - values, historical data, forecasts and news - updated on July of 2025.

  2. Data from: Cotton Irrigation Tool

    • catalog.data.gov
    Updated Apr 21, 2025
    + more versions
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    Agricultural Research Service (2025). Cotton Irrigation Tool [Dataset]. https://catalog.data.gov/dataset/cotton-irrigation-tool-0202a
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Agricultural Research Servicehttps://www.ars.usda.gov/
    Description

    Dropping Ogallala aquifer levels and changing commodity prices and energy costs make irrigation management an important but uncertain issue to west Texas cotton producers. For example, is deficit or full irrigation more profitable under the current lint price and pumping cost conditions? Also, what is the best way to divide production into dryland and irrigated acreage with limited well capacity? To help producers answer these questions this web application estimates the effects of irrigation on the profitability of center pivot cotton production on the Southern High Plains. It's main purpose is to show the impact of irrigation on yield and the related effects on both profits per acre and profits over a center pivot area with combined dryland and irrigated production. Resources in this dataset:Resource Title: Cotton Irrigation Tool. File Name: Web Page, url: https://www.ars.usda.gov/research/software/download/?softwareid=486&modecode=30-96-05-00 download page

  3. u

    Growth and Yield Data for the Bushland, Texas, Cotton Datasets

    • agdatacommons.nal.usda.gov
    • s.cnmilf.com
    • +1more
    xlsx
    Updated Apr 30, 2025
    + more versions
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    Steven R. Evett; Gary W. Marek; Karen S. Copeland; Terry A. Sr. Howell; Paul D. Colaizzi; David K. Brauer; Brice B. Ruthardt (2025). Growth and Yield Data for the Bushland, Texas, Cotton Datasets [Dataset]. http://doi.org/10.15482/USDA.ADC/1529408
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    xlsxAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset provided by
    Ag Data Commons
    Authors
    Steven R. Evett; Gary W. Marek; Karen S. Copeland; Terry A. Sr. Howell; Paul D. Colaizzi; David K. Brauer; Brice B. Ruthardt
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Bushland
    Description

    This dataset consists of growth and yield data for each season when upland cotton [Gossympium hirsutum (L.)] was grown for lint and seed at the USDA-ARS Conservation and Production Research Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). In the 2000 through 2004, 2008, 2010, 2012, and 2020 seasons, cotton was grown on from one to four large, precision weighing lysimeters, each in the center of a 4.44 ha square field also planted to cotton. The square fields were themselves arranged in a larger square with four fields in four adjacent quadrants of the larger square. Fields and lysimeters within each field were thus designated northeast (NE), southeast (SE), northwest (NW), and southwest (SW). Cotton was grown on different combinations of fields in different years. When irrigated, irrigation was by linear move sprinkler system years before 2014, and by both sprinkler and subsurface drip irrigation in 2020. Irrigation protocols described as full were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. Irrigation protocols described as deficit typically involved irrigation at rates established as percentages of full irrigation ranging from 33% to 75% depending on the year. The growth and yield data typically include plant population density, height, plant row width, leaf area index, growth stage, total above-ground biomass, leaf and stem biomass, boll mass (when present), lint mass, seed mass, final yield, and lint quality. Data are from replicate samples in the field and non-destructive (except for final harvest) measurements on the weighing lysimeters. In most cases yield data are available from only manual sampling on replicate plots in each field and lysimeters. These datasets originate from research aimed at determining crop water use (ET), crop coefficients for use in ET-based irrigation scheduling based on a reference ET, crop growth, yield, harvest index, and crop water productivity as affected by irrigation method, timing, amount (full or some degree of deficit), agronomic practices, cultivar, and weather. Prior publications have focused on cotton ET, crop coefficients, crop water productivity, and simulation modeling of crop water use, growth, and yield. Crop coefficients have been used by ET networks. The data have utility for testing simulation models of crop ET, growth, and yield and have been used for testing, and calibrating models of ET that use satellite and/or weather data. See the README for descriptions of each data file.

  4. i

    CoSEV: A cotton disease dataset for detection and classification of severity...

    • ieee-dataport.org
    Updated Jul 8, 2024
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    Serosh Noon (2024). CoSEV: A cotton disease dataset for detection and classification of severity stages and multiple disease occurrence [Dataset]. https://ieee-dataport.org/documents/cosev-cotton-disease-dataset-detection-and-classification-severity-stages-and-multiple
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    Dataset updated
    Jul 8, 2024
    Authors
    Serosh Noon
    License

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

    Description

    In agriculture

  5. T

    COTTON by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 16, 2018
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    TRADING ECONOMICS (2018). COTTON by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/cotton
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    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Aug 16, 2018
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for COTTON reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  6. E

    Cotton prices, May, 2025 - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
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    Globalen LLC, Cotton prices, May, 2025 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/world/cotton_prices/
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    excel, csv, xmlAvailable download formats
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Jan 31, 1960 - May 31, 2025
    Description

    Cotton prices in , May, 2025 For that commodity indicator, we provide data from January 1960 to May 2025. The average value during that period was 1.47 USD per kilogram with a minimum of 0.6 USD per kilogram in August 1969 and a maximum of 5.06 USD per kilogram in March 2011. | TheGlobalEconomy.com

  7. F

    Global price of Cotton

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
    + more versions
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    (2025). Global price of Cotton [Dataset]. https://fred.stlouisfed.org/series/PCOTTINDUSDM
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    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Global price of Cotton (PCOTTINDUSDM) from Jan 1990 to May 2025 about cotton, World, and price.

  8. cotton-leaf-infection

    • kaggle.com
    Updated Jun 10, 2021
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    Palash S (2021). cotton-leaf-infection [Dataset]. https://www.kaggle.com/datasets/raaavan/cottonleafinfection
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 10, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Palash S
    License

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

    Description

    Dataset

    This dataset was created by Palash S

    Released under CC0: Public Domain

    Contents

  9. M

    Global Cotton Prices | Data | 1990-2025

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). Global Cotton Prices | Data | 1990-2025 [Dataset]. https://www.macrotrends.net/datasets/5558/global-cotton-prices
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1990 - 2025
    Area covered
    United States
    Description

    Global Cotton Prices: 35 years of historical data from 1990 to 2025.

  10. M

    Cotton Prices | Data | 1969-2025

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). Cotton Prices | Data | 1969-2025 [Dataset]. https://www.macrotrends.net/datasets/2533/cotton-prices-historical-chart-data
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    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1969 - 2025
    Area covered
    United States
    Description

    Cotton Prices: 56 years of historical data from 1969 to 2025.

  11. B

    Brazil Agricultural Prices: Average Weekly Prices: Producer: Feather Cotton:...

    • ceicdata.com
    Updated Jun 26, 2021
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    CEICdata.com (2021). Brazil Agricultural Prices: Average Weekly Prices: Producer: Feather Cotton: 15 Kg: Maranhão [Dataset]. https://www.ceicdata.com/en/brazil/agricultural-prices-conab-average-weekly-prices-producer-cotton-seed
    Explore at:
    Dataset updated
    Jun 26, 2021
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jan 1, 2016 - Apr 1, 2016
    Area covered
    Brazil
    Variables measured
    Agricultural
    Description

    Agricultural Prices: Average Weekly Prices: Producer: Feather Cotton: 15 Kg: Maranhão data was reported at 72.000 BRL in 01 Apr 2016. This records a decrease from the previous number of 72.800 BRL for 25 Mar 2016. Agricultural Prices: Average Weekly Prices: Producer: Feather Cotton: 15 Kg: Maranhão data is updated daily, averaging 56.400 BRL from Sep 2014 (Median) to 01 Apr 2016, with 77 observations. The data reached an all-time high of 76.000 BRL in 11 Mar 2016 and a record low of 52.000 BRL in 10 Oct 2014. Agricultural Prices: Average Weekly Prices: Producer: Feather Cotton: 15 Kg: Maranhão data remains active status in CEIC and is reported by National Supply Company. The data is categorized under Brazil Premium Database’s Prices – Table BR.PA140: Agricultural Prices: CONAB: Average Weekly Prices: Producer: Cotton Seed.

  12. United States cotton production and area 1790-1988

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). United States cotton production and area 1790-1988 [Dataset]. https://www.statista.com/statistics/1070570/us-cotton-output-area-historical/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Annual cotton production in the United States grew from just a few thousand tons at the turn of the 19th century, to fluctuating between 1.6 million and 4.3 million tons throughout most of the 20th century. The amount of space used to produce cotton also grew from three to almost 18 million hectares of land between 1866 and the 1920s, before dropping to around four or five million hectares between the 1960s and 1980s. Despite this drop in land usage, advancements in agricultural technology meant that output remained relatively constant in the 20th century, meaning that output per hectare actually increased significantly.

    The mechanical cotton gin's invention in 1793 revolutionized the U.S. cotton industry, which grew exponentially in the early 19th century. Cotton was the U.S.' primary export in these years, and its production was driven by slave labor in the southern states (particularly South Carolina). For the first time, output exceeded one million tons in 1859, and again in 1861, however, the disruption of the American Civil War caused cotton output to drop by over 93 percent in the next three years, to just 68 thousand tons by 1864. Production resumed upon its previous trajectory following the war's end, and many of the former-slaves forced to work on cotton plantations continued to work in the cotton industry, but as sharecroppers who worked the land in exchange for a share of the harvest, as well as housing and facilities (this was similar to tenant farming, although sharecroppers received a smaller share of the crop and had fewer legal protections).

  13. Cotton, Wool, and Textile Data

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +2more
    Updated Apr 21, 2025
    + more versions
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    Economic Research Service, Department of Agriculture (2025). Cotton, Wool, and Textile Data [Dataset]. https://catalog.data.gov/dataset/cotton-wool-and-textile-data
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Description

    This data product contains data on U.S. cotton and wool supply, demand, and prices, as well as U.S. cotton and textile trade data, maintained by the Economic Research Service to support related commodity market analysis and research.

  14. Data from: Site-specific management of cotton root rot using airborne and...

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    Updated Apr 21, 2025
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    Agricultural Research Service (2025). Data from: Site-specific management of cotton root rot using airborne and high resolution satellite imagery and variable rate technology [Dataset]. https://catalog.data.gov/dataset/data-from-site-specific-management-of-cotton-root-rot-using-airborne-and-high-resolution-s-9a191
    Explore at:
    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Agricultural Research Servicehttps://www.ars.usda.gov/
    Description

    Cotton root rot is a century-old cotton disease that now can be effectively controlled with Topguard Terra fungicide. Because this disease tends to occur in the same general areas within fields in recurring years, site-specific application of the fungicide only to infested areas can be as effective as and considerably more economical than uniform application. The overall objective of this research was to demonstrate how site-specific fungicide application could be implemented based on historical remote sensing imagery and using variable-rate technology. Procedures were developed for creating binary prescription maps from historical airborne and high-resolution satellite imagery. Two different variable-rate liquid control systems were adapted to two existing cotton planters, respectively, for site-specific fungicide application at planting. One system was used for site-specific application on multiple fields in 2015 and 2016 near Edroy, Texas, and the other system was used on multiple fields in both years near San Angelo, Texas. Airborne multispectral imagery taken during the two growing seasons was used to monitor the performance of the site-specific treatments. Results based on prescription maps derived from historical airborne and satellite imagery of two fields in 2015 and one field in 2016 are reported in this article. Two years of field experiments showed that the prescription maps and the variable-rate systems performed well and that site-specific fungicide treatments effectively controlled cotton root rot. Reduction in fungicide use was 41%, 43%, and 63% for the three fields, respectively. The methodologies and results of this research will provide cotton growers, crop consultants, and agricultural dealers with practical guidelines for implementing site-specific fungicide application using historical imagery and variable-rate technology for effective management of cotton root rot. Resources in this dataset: Resource Title: A ground picture of cotton root rot File Name: IMG_0124.JPG Resource Description: A cotton root rot-infested area in a cotton field near Edroy, TX. Resource Title: An aerial image of a cotton field File Name: Color-infrared image of a field.jpg Resource Description: Aerial color-infrared (CIR) image of a cotton field infested with cotton root rot. Resource Title: As-applied fungicide application data File Name: Jim Ermis-Farm 1-Field 11 Fungicide Application.csv Resource Description: As-applied fungicide application rates for variable rate application of Topguard to a cotton field infested with cotton rot

  15. F

    Producer Price Index by Commodity: Farm Products: Raw Cotton

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
    + more versions
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    (2025). Producer Price Index by Commodity: Farm Products: Raw Cotton [Dataset]. https://fred.stlouisfed.org/series/WPU01510101
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 12, 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: Farm Products: Raw Cotton (WPU01510101) from Jan 1947 to May 2025 about cotton, agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.

  16. F

    Global price of Cotton

    • fred.stlouisfed.org
    json
    Updated Apr 10, 2025
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    (2025). Global price of Cotton [Dataset]. https://fred.stlouisfed.org/series/PCOTTINDUSDQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Global price of Cotton (PCOTTINDUSDQ) from Q1 1990 to Q1 2025 about cotton, World, and price.

  17. Cotton Crop and Weather Relationship Dataset

    • kaggle.com
    Updated Oct 5, 2024
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    chen rich (2024). Cotton Crop and Weather Relationship Dataset [Dataset]. https://www.kaggle.com/datasets/chenrich/cotton-crop-and-weather-relationship-dataset/discussion?sort=undefined
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 5, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    chen rich
    License

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

    Description

    Cotton Crop and Weather Relationship Dataset

    This comprehensive dataset explores the intricate relationship between weather conditions and cotton crop growth over a decade (2013-2023). With over 80,000 records, it provides valuable insights into how various climatic factors influence cotton production throughout its growth cycle.

    Dataset Overview:

    The dataset includes the following key fields:

    1. Farm identification and temporal data:

      • Farm_ID
      • Planting_Date, Harvest_Date
      • Growth_Cycle, Harvest_Year
    2. Cotton yield information:

      • Yield (measured in standard units)
    3. Weather conditions:

      • Sunlight_Hours
      • Precipitation
      • Average_Temperature
      • Drought_Days, Flood_Days
      • CO2_Concentration
    4. Soil characteristics:

      • Soil_Moisture
      • Soil_pH
    5. Calculated environmental levels:

      • Sunlight_Level
      • Flood_Level
      • Drought_Level

    This rich dataset allows for in-depth analysis of how various environmental factors affect cotton growth and yield. It captures both daily weather variations and extreme events, making it valuable for studying climate change impacts on cotton farming.

    Potential applications include predictive modeling of cotton yields, optimization of planting and harvesting schedules, analysis of soil condition impacts, and development of climate-resilient cotton farming strategies.

    Whether you're an agronomist, data scientist, or climate researcher, this dataset provides a comprehensive resource for exploring the complex interplay between weather patterns and cotton crop performance.

  18. B

    Brazil Agricultural Prices: Average Weekly Prices: Producer: Cotton Seed: 15...

    • ceicdata.com
    Updated Jun 26, 2021
    + more versions
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    CEICdata.com (2021). Brazil Agricultural Prices: Average Weekly Prices: Producer: Cotton Seed: 15 Kg: Ceará [Dataset]. https://www.ceicdata.com/en/brazil/agricultural-prices-conab-average-weekly-prices-producer-cotton-seed
    Explore at:
    Dataset updated
    Jun 26, 2021
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 6, 2015 - Jun 19, 2015
    Area covered
    Brazil
    Variables measured
    Agricultural
    Description

    Agricultural Prices: Average Weekly Prices: Producer: Cotton Seed: 15 Kg: Ceará data was reported at 23.580 BRL in 19 Jun 2015. This stayed constant from the previous number of 23.580 BRL for 12 Jun 2015. Agricultural Prices: Average Weekly Prices: Producer: Cotton Seed: 15 Kg: Ceará data is updated daily, averaging 25.430 BRL from Jan 2014 (Median) to 19 Jun 2015, with 72 observations. The data reached an all-time high of 26.000 BRL in 15 Aug 2014 and a record low of 23.580 BRL in 19 Jun 2015. Agricultural Prices: Average Weekly Prices: Producer: Cotton Seed: 15 Kg: Ceará data remains active status in CEIC and is reported by National Supply Company. The data is categorized under Brazil Premium Database’s Prices – Table BR.PA140: Agricultural Prices: CONAB: Average Weekly Prices: Producer: Cotton Seed.

  19. R

    Desease Cotton Plant Dataset

    • universe.roboflow.com
    zip
    Updated Jul 20, 2022
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    Quandong Qian (2022). Desease Cotton Plant Dataset [Dataset]. https://universe.roboflow.com/quandong-qian/desease-cotton-plant/dataset/2
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    zipAvailable download formats
    Dataset updated
    Jul 20, 2022
    Dataset authored and provided by
    Quandong Qian
    License

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

    Variables measured
    Dc Bounding Boxes
    Description

    Here are a few use cases for this project:

    1. Agricultural Monitoring and Disease Management: Farmers and agricultural organizations can use the "disease cotton plant" computer vision model to monitor large-scale cotton fields for any signs of disease. Early detection and management can help in controlling the spread and minimizing the impact of diseases on the cotton crop.

    2. Smart Crop Insurance: Insurance companies can provide policyholders with tailored protection by using the computer vision model to assess the health of cotton plants in a certain area. By identifying affected plants, they can offer insurance plans that accurately reflect the risk posed by diseases and other factors.

    3. Agricultural Consultancy Services: Expert consultants can use the "disease cotton plant" computer vision model to advise farmers on the best methods to prevent, manage, and treat diseases affecting their cotton crops. The model can also be used for training and capacity building in disease management among extension officers and local community.

    4. Research and Development: Researchers can use the model as a tool to study various aspects of cotton plant diseases, their patterns, and their impact on crop yield. This information can be valuable for creating new treatment strategies and understanding how diseases spread to improve future prevention measures.

    5. Supply Chain Management: Companies dealing with cotton production can use the computer vision model to ensure the quality of sourced raw cotton material. By identifying diseased plants earlier in the supply chain, businesses can maintain a high-quality product and prevent the spread of diseases to other areas of production.

  20. Cotton Market Analysis APAC, Middle East and Africa, North America, South...

    • technavio.com
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    Technavio, Cotton Market Analysis APAC, Middle East and Africa, North America, South America, Europe - Pakistan, India, Bangladesh, China, US, Turkey, Canada, Germany, UK, France - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/cotton-market-industry-analysis
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    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Canada, United States, Global
    Description

    Snapshot img

    Cotton Market Size 2025-2029

    The cotton market size is forecast to increase by USD 8.69 billion, at a CAGR of 3.2% between 2024 and 2029.

    The market is a significant contributor to economic growth and a crucial source of livelihood for numerous communities worldwide. Key drivers propelling the market include the adoption of new technologies by companies to enhance productivity and efficiency. However, challenges persist, including the overconsumption of water due to poor management and water pollution. These issues not only pose environmental risks but also threaten the sustainability of cotton production. companies are increasingly investing in advanced technologies such as genetically modified cotton seeds, Precision Farming, and automation to improve yields and reduce costs. These innovations enable farmers to optimize resource utilization and minimize waste.
    However, the market faces a substantial challenge in addressing the environmental impact of cotton production, particularly water usage and pollution. Inefficient drip irrigation systems and the use of excessive water for cotton cultivation have led to water scarcity in several regions, threatening both agricultural productivity and food security. Additionally, the discharge of untreated cotton processing wastewater into water bodies contributes to water pollution, posing health risks to local populations and negatively impacting the environment. To capitalize on market opportunities and navigate these challenges effectively, companies must focus on implementing sustainable farming practices and investing in water management technologies.
    

    What will be the Size of the Cotton Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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    The market continues to evolve, with dynamic interplay between various sectors shaping its landscape. Cotton trade is a vital component, influenced by global supply and demand trends. Weaving transforms raw cotton into fabric, with organic cotton gaining prominence due to increasing consumer demand for sustainable textiles. The cotton supply chain encompasses spinning, flannel, plaid, voile, and various other types, each with unique applications. Research and innovation are at the forefront of the industry, driving advancements in cotton twill, blends, recycling, and regulations. Policies and certifications shape the cotton production process, focusing on sustainability and agricultural practices. Apparel, home textiles, and industrial textiles, including denim, quilting, broadcloth, and medical textiles, showcase the versatility of cotton.

    Cotton's continuous evolution is further highlighted in the emergence of technologies, such as cotton derivatives, printing, and dyeing. Market volatility influences pricing, while waste reduction and innovation in finishing processes contribute to the industry's ongoing growth. The market's intricate web of interconnected components ensures a dynamic and ever-evolving industry landscape

    How is this Cotton Industry segmented?

    The cotton industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Application
    
      Cotton fiber
      Cotton seed oil
      Cotton seed
    
    
    Distribution Channel
    
      Offline
      Online
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        UK
    
    
      Middle East and Africa
    
        Turkey
    
    
      APAC
    
        Bangladesh
        China
        India
        Pakistan
    
    
      Rest of World (ROW). 
    

    By Application Insights

    The cotton fiber segment is estimated to witness significant growth during the forecast period.

    Cotton, a natural fiber grown in tropical and subtropical regions, is a significant player in the global textile industry. India, as the world's leading cotton producer, contributes substantially to the market. The textile and apparel sectors' expansion fueled the cotton industry's growth. Consumer preferences and trends shape the demand for cotton fibers, which accounts for approximately one-third of all fibers produced globally. Despite being an export crop, most processing occurs in major producing countries, such as China and India. Cotton's versatility is evident in its various applications, including industrial textiles, denim, home textiles, quilting, broadcloth, medical textiles, and more. Organic cotton, recycled cotton, and cotton blends are gaining popularity due to sustainability concerns.

    The cotton supply chain involves various processes, from harvesting and certifications to spinning, weaving, dyeing, and finishing. Cotton agriculture faces challenges such as regulations, production volatility, and sustainability concerns. To address these issues, re

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TRADING ECONOMICS (2025). Cotton - Price Data [Dataset]. https://tradingeconomics.com/commodity/cotton

Cotton - Price Data

Cotton - Historical Dataset (1913-09-01/2025-07-15)

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66 scholarly articles cite this dataset (View in Google Scholar)
csv, excel, xml, jsonAvailable download formats
Dataset updated
Jul 11, 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
Sep 1, 1913 - Jul 15, 2025
Area covered
World
Description

Cotton rose to 66.47 USd/Lbs on July 15, 2025, up 0.22% from the previous day. Over the past month, Cotton's price has risen 1.55%, but it is still 4.88% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Cotton - values, historical data, forecasts and news - updated on July of 2025.

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