100+ datasets found
  1. T

    GSCI Commodity Index - Price Data

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +15more
    csv, excel, json, xml
    Updated Jul 15, 2008
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    GSCI Commodity Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/gsci
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jul 15, 2008
    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
    Dec 31, 1969 - Mar 27, 2025
    Area covered
    World
    Description

    GSCI increased 9.31 points or 1.69% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. GSCI Commodity Index - values, historical data, forecasts and news - updated on March of 2025.

  2. UNHCR inventory master commodity/group list and codes

    • data.humdata.org
    • data.amerigeoss.org
    • +1more
    xlsx
    Updated Feb 25, 2025
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    UNHCR - The UN Refugee Agency (2025). UNHCR inventory master commodity/group list and codes [Dataset]. https://data.humdata.org/dataset/1baf96a0-5c29-41f6-b2fd-1cf3d47a39ef?force_layout=desktop
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    xlsx(266755)Available download formats
    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Description

    Master list of names and codes for individual commodities and commodity groups as used by UNHCR, available to other humanitarian actors for applications such as market or needs assessments.

  3. T

    Commodities Prices - Spot - Futures - Scatter

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +3more
    csv, excel, json, xml
    Updated Dec 26, 2024
    + more versions
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    TRADING ECONOMICS (2024). Commodities Prices - Spot - Futures - Scatter [Dataset]. https://tradingeconomics.com/commodities/scatter
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Dec 26, 2024
    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

    The commodity prices displayed in Trading Economics are based on over-the-counter (OTC) and contract for difference (CFD) financial instruments. Our market prices are intended to provide you with a reference only, rather than as a basis for making trading decisions. Trading Economics does not verify any data and disclaims any obligation to do so. This dataset provides a visual chart with the relation between various commodities categorized by type, including Energy, Metals, Agriculture, Industrial, and Livestock. Users can explore these relationships across different time frequencies, providing insights into how commodity prices interact and correlate over time. This dataset provides a visual chart with the relation between various commodities categorized by type, including Energy, Metals, Agriculture, Industrial, and Livestock. Users can explore these relationships across different time frequencies, providing insights into how commodity prices interact and correlate over time.

  4. m

    Data from: Option listing and underlying commodity futures volatility in...

    • data.mendeley.com
    Updated Oct 24, 2024
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    jin Guo (2024). Option listing and underlying commodity futures volatility in China [Dataset]. http://doi.org/10.17632/kysvf67trx.1
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    Dataset updated
    Oct 24, 2024
    Authors
    jin Guo
    License

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

    Area covered
    China
    Description

    This study examines the impact of option listing on the volatility of underlying commodity futures markets in China. We construct the counterfactual volatility for these optioned commodity futures and estimate the average treatment effect of option listing. Using a panel data approach based on Hsiao et al. (2012), referred to as HCW, we incorporate conventional information criteria (including AIC, AICC and BIC) as well as the LASSO (Least Absolute Shrinkage and Selection Operator) method to select optimal control units from a large set of alternatives for the treatment units.

  5. d

    Data from: Is America dematerializing? Trends and tradeoffs in historic...

    • search.dataone.org
    • datadryad.org
    Updated Feb 4, 2025
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    Iddo Wernick (2025). Is America dematerializing? Trends and tradeoffs in historic demand for one hundred commodities in the United States [Dataset]. http://doi.org/10.5061/dryad.k6djh9wfq
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Iddo Wernick
    Area covered
    United States
    Description

    We introduce a broad yet detailed data framework to assess the physical basis of modern industrial societies based on trends in their commodity demand. Using the example of the United States from 1900 to 2020, we consider both absolute commodity demand (ABS) and demand indexed to economic activity, otherwise known as intensity of use (IOU), for one hundred commodities that constitute the bulk of the material entering the US economy annually. The commodities selected are generally raw materials that enter the economy as industrial inputs that are further processed and incorporated into intermediate and finished products. The data show that ABS for nearly all the 100 commodities rose steadily until 1970 with IOU consistently rising for many as well. After that time, the trends for different groups of commodities start to diverge. Comparing ABS and IOU for the years 1970 and 2020 brings into focus the divergent trends. We find that for many metals and mineral commodities, domestic consumpt..., The database is an Excel workbook with three tabs. Tab 1 - Table S1 (Historical Data)  - Contains the reported data on apparent consumption of 100 commodities in the United States generally denominated in metric tons. These data were not generated, or calculated, but taken directly from were collected online from US government natural resources agencies. No processing of the data took place other than normalization. Table S1 also includes a times series from 1900 to 2020 on US Gross Domestic Product. Tab 2  - Table S2 (Technical notes) - Gives the source of data for each of the commodities listed in Table S1 as well as technical notes regarding the data as necessary. Tab 3 - ABS-IOU – Presents the calculated values for the variables IOU2020/1970 and ASB2020/1970 as shown in Figure 3 of the paper. These calculated values are based directly on data from Table S1., , # Data from: Is America dematerializing? Trends and tradeoffs in historic demand for one hundred commodities in the United States https://doi.org/10.5061/dryad.k6djh9wfq

    Reported Consumption Data for 100 commodities in the United States for the years 1900-2020 (coverage subject to data availability)

    Description of the data and file structure

    Simple excel file. Worksheet 1 includes the historical data by commodity. Worksheet 2 contains the technical notes for each commodity including the data sources. Worksheet 3 contains the calculated values for ABS and IOU, which are shown in Figure 3. of the paper.

    Sharing/Access information

    Links to other publicly accessible locations of the data:

    Data was derived from the following ...

  6. F

    Producer Price Index by Commodity: Publishing Sales, Excluding Software:...

    • fred.stlouisfed.org
    json
    Updated Jan 18, 2023
    + more versions
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    (2023). Producer Price Index by Commodity: Publishing Sales, Excluding Software: Directory, Mailing List, and Related Compilations Publishing Sales [Dataset]. https://fred.stlouisfed.org/series/WPU33210101
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    jsonAvailable download formats
    Dataset updated
    Jan 18, 2023
    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: Publishing Sales, Excluding Software: Directory, Mailing List, and Related Compilations Publishing Sales (WPU33210101) from Dec 2008 to Dec 2022 about postal, software, printing, sales, commodities, PPI, inflation, price index, indexes, price, and USA.

  7. Commodity futures and options: contracts traded globally 2005-2019, by...

    • statista.com
    Updated Jan 11, 2022
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    Statista (2022). Commodity futures and options: contracts traded globally 2005-2019, by commodity type [Dataset]. https://www.statista.com/statistics/535471/commodity-futures-and-options-contracts-traded-globally/
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    Dataset updated
    Jan 11, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    This statistic shows the number of commodity contracts - futures and options - traded globally from 2005 to 2019, listed by type of commodity. The number of agricultural futures and options traded in 2019 amounted to nearly 1.8 billion.

  8. Global Commodities buyers list and Global importers directory of Commodities...

    • volza.com
    csv
    Updated Mar 22, 2025
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    Volza FZ LLC (2025). Global Commodities buyers list and Global importers directory of Commodities [Dataset]. https://www.volza.com/p/commodities/buyers/buyers-in-united-states/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of import value, 2014-01-01/2021-09-30
    Description

    16328 Active Global Commodities buyers list and Global Commodities importers directory compiled from actual Global import shipments of Commodities.

  9. N

    Vendor List by Commodity

    • data.cityofnewyork.us
    • datasets.ai
    • +2more
    application/rdfxml +5
    Updated May 5, 2020
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    Mayor's Office of Contract Services (MOCS) (2020). Vendor List by Commodity [Dataset]. https://data.cityofnewyork.us/w/irs3-wn2g/25te-f2tw?cur=UG_stFkZ6Lx
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    application/rssxml, json, csv, tsv, application/rdfxml, xmlAvailable download formats
    Dataset updated
    May 5, 2020
    Dataset authored and provided by
    Mayor's Office of Contract Services (MOCS)
    Description

    This list will include commodity enrollments by Passport-enrolled vendors.

  10. 2012 Economic Surveys: CF1200A09 | Geographic Area Series: Shipment...

    • data.census.gov
    + more versions
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    ECN, 2012 Economic Surveys: CF1200A09 | Geographic Area Series: Shipment Characteristics by Origin Geography by Commodity by Shipment Weight: 2012 (ECNSVY Commodity Flow Survey Commodity Flow Survey - Geographic Area Data) [Dataset]. https://data.census.gov/table/CFSAREA2012.CF1200A09?q=Zhi%20Wei%20Shen%20MD
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

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

    Time period covered
    2012
    Description

    Release Date: 2014-12-09...Table Name. Geographic Area Series: Shipment Characteristics by Origin Geography by Commodity by Shipment Weight: 2012 ....ReleaseSchedule. The data in this file are scheduled for release in December 2014.....Key TableInformation.None.....Universe. The 2012 Commodity Flow Survey (CFS) covers business establishments with paid employees that are located in the United States and are classified using the 2007 North American Industry Classification System (NAICS) in mining, manufacturing, wholesale trade, and selected retail trade and services industries, namely, electronic shopping and mail-order houses, fuel dealers, and publishers. Establishments classified in transportation, construction, and all other retail and services industries are excluded from the survey. Farms, fisheries, foreign establishments, and most government-owned establishments are also excluded.The survey also covers auxiliary establishments (i.e., warehouses and managing offices) of multi-establishments companies..For the 2012 CFS, an advance survey (pre-canvass) of approximately 100,000 establishments was conducted to identify establishments with shipping activity and to try and obtain. an accurate measure of their shipping activity. Surveyed establishments that indicated undertaking shipping activities and the non-respondents to the pre-canvass were included in the. CFS sample universe....GeographyCoverage. The data are shown at the U.S., region, division, state, and CFS metropolitan area levels.....IndustryCoverage.None.....Data ItemsandOtherIdentifyingRecords. This file contains data on:..Value ($ Millions).Tons (Thousands).Ton-miles (Millions).Average miles per shipment (number).Coefficient of variation or standard error for all above data items. .The data are shown by commodity code (COMM) and shipment weight (SHIPWT). .....Sort Order.Data are presented in ascending geography (GEO_ID) by COMM by SHIPWT sequence.....FTP Download. Download the entire table at Table 9 FTP. ....ContactInformation.U.S. Census Bureau.Commodity Flow Survey.Tel: (301)763-2108.Email: erd.cfs@census.gov...The estimates presented are based on data from the 2012 Commodity Flow Surveys (CFS) and supersede data previously released in the 2012 CFS Preliminary Report. These estimates only cover businesses with paid employees. All dollar values are expressed in current dollars, i.e., they are based on price levels in effect at the time of the sample. Estimates may not be additive due to rounding. ...For information on Commodity Flow Survey geographies, including changes for 2012, see Census Geographies. .Symbols:.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..Z - Rounds to Zero..X - Not Applicable..For a complete list of all economic programs symbols, see the Symbols Glossary..Commodity Code changes for 2012 CFS.. (CFS10) 07-R - Prior to the 2012 CFS, oils and fats treated for use as biodiesel were included in Commodity Code 07. In the 2012 CFS, oils and fats treated for use as biodiesel moved to Commodity Code 18. . (CFS20) 08-R - Prior to the 2012 CFS, alcohols intended for use as fuel such as ethanol, although not specifically identified, were included in Commodity Code 08. In the 2012 CFS, ethanol moved to Commodity Code 17. . (CFS30) 17-R - Prior to the 2012 CFS, fuel alcohols such as ethanol were included in Commodity Code 08, although not specifically identified. Also, kerosene was included in Commodity Code 19. In the 2012 CFS, ethanol, fuel alcohols and kerosene moved to Commodity Code 17. . (CFS40) 18-R - Prior to the 2012 CFS, biodiesel, although not specifically identified, was included in Commodity Code 07. In the 2012 CFS, biodiesel moved to Commodity Code 18. .Source: U.S. Department of Transportation, Bureau of Transportation Statistics and U.S. Census Bureau, 2012 Commodity Flow Survey. .Note: The noise infusion data protection method has been applied to prevent data disclosure, and to protect respondent's confidentiality. Estimates are based on a sample of establishments and are subject to both sampling and nonsampling error. Estimated measures of sampling variability are provided in the tables. For information on confidentiality protection, sampling error, and nonsampling error see Survey Methodology.

  11. Commodity hierarchy

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Apr 16, 2018
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    Office for National Statistics (2018). Commodity hierarchy [Dataset]. https://www.ons.gov.uk/economy/nationalaccounts/balanceofpayments/datasets/commodityhierarchy
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    xlsxAvailable download formats
    Dataset updated
    Apr 16, 2018
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The Standard International Trade Classification (SITC) hierarchy used in the trade in goods country by commodity experimental dataset.

  12. c

    Views of Hosts: Reporting the Alien Commodity Trade, 1440-1445

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 28, 2024
    + more versions
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    Davies, M., University of London, Institute of Historical Research; Bradley, H., University of London, Institute of Historical Research; Merry, M., University of London, Institute of Historical Research (2024). Views of Hosts: Reporting the Alien Commodity Trade, 1440-1445 [Dataset]. http://doi.org/10.5255/UKDA-SN-5297-1
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Centre for Metropolitan History
    Authors
    Davies, M., University of London, Institute of Historical Research; Bradley, H., University of London, Institute of Historical Research; Merry, M., University of London, Institute of Historical Research
    Time period covered
    Apr 1, 2004 - Sep 30, 2005
    Area covered
    England
    Variables measured
    Text units (documents/chapters/words), National
    Measurement technique
    Transcription of existing materials, Compilation or synthesis of existing material
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    The project aimed to make widely accessible the data gathered on the alien commodity trade as a result of an act of parliament in 1439, which required the formal pairing of alien merchants with English hosts who kept registers of alien business activities. Copies of these registers (or views) were ordered to be returned to the exchequer. The original documents, in Anglo-Norman French and Latin written up in 15th century hands, are available to the public at The National Archives, but the linguistic and palaeographical skills necessary to read them have proven a considerable obstacle to their use, except by a handful of professional scholars who have used the source to provide occasional illustrations of particular points. The project was designed to make the source readily and easily available to a broader readership in the form of a full transcript, as well as an English translation, and a database. The project further examined the antecedents and context of the 1439 legislation, and sought to identify the social, political and economic forces driving this early effort to isolate and control alien communities. It explored the data in terms of the contemporary good and bad alien stereotypes. It also assessed the mechanics of the administrative system employed for data collection, its adequacy to the task, and the methods used by aliens to evade it.
    Main Topics:

    The database contains 6 related tables which record the names and commodity descriptions from some 2,300 individual business transactions which took place between alien and English merchants during the early 1440s. It includes exact dates of the transaction, where given in the original; the forename and surname of the alien in a standardised spelling, together with his role as supplier or client, and the description of his status as given in the preamble to the original document. The forename and surname of the merchant with whom he dealt is also entered in a standardised spelling, together with his or her role as supplier or client, and a note of his or her trade affiliation or social status where it is known. A description of the commodity is entered, including any specification as to its colour or quality, the commodity then being assigned to an appropriate category of goods (spice, fabric, food, drink household, manufacture, personal, military, construction, fur). The weight, measurement or number of the commodity as given in the original is entered, with the price paid in sterling (sd) and an automatically generated equivalent price in pence (d) to facilitate calculation. Additionally, an indication is given as to whether the price applies only to one particular commodity, or represents an overall price for a transaction covering several listed commodities.

  13. G

    Mining Companies and Commodities

    • ouvert.canada.ca
    • datasets.ai
    • +1more
    csv, html
    Updated Jul 24, 2024
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    Government of Newfoundland and Labrador (2024). Mining Companies and Commodities [Dataset]. https://ouvert.canada.ca/data/dataset/b21db2f1-774a-314d-1d82-de0aebad03cb
    Explore at:
    csv, htmlAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    Government of Newfoundland and Labrador
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    A listing of mining companies (past and present) in Newfoundland and Labrador complete with production status, relevant mineral commodities, company profiles and contact information.

  14. Global Commodities buyers list and Global importers directory of Commodities...

    • volza.com
    csv
    Updated Oct 3, 2025
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    Volza.LLC (2025). Global Commodities buyers list and Global importers directory of Commodities [Dataset]. https://www.volza.com/p/commodities/buyers/buyers-in-india/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 3, 2025
    Dataset provided by
    Volza
    License

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

    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of import value, 2014-01-01/2021-09-30
    Description

    1217 Active Global Commodities buyers list and Global Commodities importers directory compiled from actual Global import shipments of Commodities.

  15. F

    Producer Price Index by Commodity: Pulp, Paper, and Allied Products: Catalog...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). Producer Price Index by Commodity: Pulp, Paper, and Allied Products: Catalog and Directory Printing [Dataset]. https://fred.stlouisfed.org/series/WPU094703
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 13, 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: Pulp, Paper, and Allied Products: Catalog and Directory Printing (WPU094703) from Jun 1982 to Feb 2025 about printing, paper, commodities, PPI, inflation, price index, indexes, price, and USA.

  16. Harvested area in Sub-Saharan Africa 2017-2029, by commodity group

    • statista.com
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    Statista, Harvested area in Sub-Saharan Africa 2017-2029, by commodity group [Dataset]. https://www.statista.com/statistics/1258650/area-harvested-by-commodity-group-in-africa/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Africa
    Description

    From 2017 to 2019, most of the harvested agricultural land in Sub-Saharan Africa was for cereal production, with close to 94.78 billion hectares. Pulses, roots, and tubers followed with 62.36 billion hectares of harvested land. Moreover, it is forecast that in 2029 the harvested area for all the listed commodity groups would increase. The exception, however, was with land dedicated to all other commodities.

  17. d

    Commodity Category Assignments - Appendix B2 of PhD Thesis - Tracing marine...

    • catalogue.data.govt.nz
    Updated Nov 9, 2022
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    (2022). Commodity Category Assignments - Appendix B2 of PhD Thesis - Tracing marine biosecurity risks using multi-region input-output analysis - Dataset - data.govt.nz - discover and use data [Dataset]. https://catalogue.data.govt.nz/dataset/oai-figshare-com-article-20499021
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    Dataset updated
    Nov 9, 2022
    License

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

    Description

    The United Nations Statistics Division collects international trade data for 6,357 commodities. The commodities list is arranged in order by tangible products of primary industries (agriculture, fisheries, mining, forestry, etc.), tangible products of secondary industries (beginning with primary form metals and non-metals, basic chemicals, etc. and ending with processed foods, fabricated goods, etc.), and the products of tertiary industries which are mostly services and location-based assets (land, buildings, etc.) Each item in the commodities list was assigned to one of 39 commodity categories, based on type of commodity and types of cargo vessels that are typically used to transport them.

  18. USDA Report on Productivity Growth in Farm Sectors Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). USDA Report on Productivity Growth in Farm Sectors Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/usda-report-on-productivity-growth-in-farm-sectors-data-package/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    The data package consists of total farm output, input and total factor productivity and location of farmer markets in the united states. It also provides data on U.S. price indices and quantities of farm output and input and real commodity trade weighted exchange rates.

  19. T

    United States - Producer Price Index by Commodity: Publishing Sales,...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jan 1, 2009
    + more versions
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    TRADING ECONOMICS (2009). United States - Producer Price Index by Commodity: Publishing Sales, Excluding Software: Directory, Mailing List, and Related Compilations Publishing Sales [Dataset]. https://tradingeconomics.com/united-states/producer-price-index-by-commodity-for-publishing-sales-excluding-software-directory-mailing-list-and-related-compilations-publishing-sales-index-dec-2008-100-fed-data.html
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jan 1, 2009
    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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Producer Price Index by Commodity: Publishing Sales, Excluding Software: Directory, Mailing List, and Related Compilations Publishing Sales was 126.67900 Index Dec 2008=100 in March of 2022, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Publishing Sales, Excluding Software: Directory, Mailing List, and Related Compilations Publishing Sales reached a record high of 135.48500 in January of 2022 and a record low of 97.70000 in October of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Publishing Sales, Excluding Software: Directory, Mailing List, and Related Compilations Publishing Sales - last updated from the United States Federal Reserve on March of 2025.

  20. D

    Commodity Chemicalsastast Market Research Report 2032

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 18, 2023
    + more versions
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    Dataintelo (2023). Commodity Chemicalsastast Market Research Report 2032 [Dataset]. https://dataintelo.com/report/commodity-chemicalsastast-market
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Sep 18, 2023
    Dataset authored and provided by
    Dataintelo
    License

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    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    The global market size of Commodity Chemicalsastast is $XX million in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million by the end of 2024 with a CAGR of XX% from 2019 to 2024.
    Global Commodity Chemicalsastast Market Report 2019 - Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global Commodity Chemicalsastast industry. The key insights of the report:
    1.The report provides key statistics on the market status of the Commodity Chemicalsastast manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
    2.The report provides a basic overview of the industry including its definition, applications and manufacturing technology.
    3.The report presents the company profile, product specifications, capacity, production value, and 2013-2018 market shares for key vendors.
    4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
    5.The report estimates 2019-2024 market development trends of Commodity Chemicalsastast industry.
    6.Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out
    7.The report makes some important proposals for a new project of Commodity Chemicalsastast Industry before evaluating its feasibility.
    There are 4 key segments covered in this report: competitor segment, product type segment, end use/application segment and geography segment.
    For competitor segment, the report includes global key players of Commodity Chemicalsastast as well as some small players.
    The information for each competitor includes:
    * Company Profile
    * Main Business Information
    * SWOT Analysis
    * Sales, Revenue, Price and Gross Margin
    * Market Share

    For product type segment, this report listed main product type of Commodity Chemicalsastast market
    * Product Type I
    * Product Type II
    * Product Type III

    For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.
    * Application I
    * Application II
    * Application III

    For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023. This report covers following regions:
    * North America
    * South America
    * Asia & Pacific
    * Europe
    * MEA (Middle East and Africa)
    The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.

    Reasons to Purchase this Report:
    * Analyzing the outlook of the market with the recent trends and SWOT analysis
    * Market dynamics scenario, along with growth opportunities of the market in the years to come
    * Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects
    * Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
    * Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
    * Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
    * Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
    * 1-year analyst support, along with the data support in excel format.
    We also can offer customized report to fulfill special requirements of our clients. Regional and Countries report can be provided as well.

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Cite
GSCI Commodity Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/gsci

GSCI Commodity Index - Price Data

GSCI Commodity Index - Historical Dataset (1969-12-31/2025-03-27)

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3 scholarly articles cite this dataset (View in Google Scholar)
xml, json, csv, excelAvailable download formats
Dataset updated
Jul 15, 2008
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
Dec 31, 1969 - Mar 27, 2025
Area covered
World
Description

GSCI increased 9.31 points or 1.69% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. GSCI Commodity Index - values, historical data, forecasts and news - updated on March of 2025.

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