100+ datasets found
  1. Real Commodity Trade Weighted Exchange Rates

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Real Commodity Trade Weighted Exchange Rates [Dataset]. https://www.johnsnowlabs.com/marketplace/real-commodity-trade-weighted-exchange-rates/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    1970 - 2024
    Area covered
    United States
    Description

    This dataset contains real trade-weighted exchange rate indices for many commodities and aggregations important to U.S. agriculture. The data covers information from 1970 to 2024.

  2. T

    CRB Commodity Index - Price Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated May 27, 2017
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    TRADING ECONOMICS (2017). CRB Commodity Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/crb
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    May 27, 2017
    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 3, 1994 - Jul 21, 2025
    Area covered
    World
    Description

    CRB Index fell to 375.35 Index Points on July 21, 2025, down 0.40% from the previous day. Over the past month, CRB Index's price has risen 0.25%, and is up 12.61% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on July of 2025.

  3. Commodities Data | Financial Data

    • lseg.com
    Updated Nov 19, 2023
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    LSEG (2023). Commodities Data | Financial Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/commodities-data
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    Dataset updated
    Nov 19, 2023
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Search LSEG's Commodities Data, and find global pricing, exchanges, and fundamentals for energy, agriculture, and metals.

  4. Data from: Monetary Policy and Commodity Futures

    • icpsr.umich.edu
    Updated Nov 28, 2005
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    Armesto, Michelle T.; Gavin, William T. (2005). Monetary Policy and Commodity Futures [Dataset]. http://doi.org/10.3886/ICPSR01315.v1
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    Dataset updated
    Nov 28, 2005
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Armesto, Michelle T.; Gavin, William T.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1315/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1315/terms

    Description

    This paper constructs daily measures of the real interest rate and expected inflation using commodity futures prices and the term structure of Treasury yields. We find that commodity futures markets respond to surprise increases in the federal funds rate target by raising the inflation rate expected over the next three to nine months. There is no evidence that the real interest rate responds to surprises in the federal funds target. The data from the commodity futures markets are highly volatile. We show that one can substantially reduce the noise using limited information estimators such as the median change. Nevertheless, the basket of commodities actually traded daily is quite narrow and we do not know whether our observable rates are closely connected to the unobservable inflation and real rates that affect economy-wide consumption and investment decisions.

  5. T

    Natural gas - Price Data

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS (2017). Natural gas - Price Data [Dataset]. https://tradingeconomics.com/commodity/natural-gas
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    csv, json, excel, xmlAvailable download formats
    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
    Apr 3, 1990 - Jul 22, 2025
    Area covered
    World
    Description

    Natural gas fell to 3.25 USD/MMBtu on July 22, 2025, down 2.13% from the previous day. Over the past month, Natural gas's price has fallen 14.59%, but it is still 48.80% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on July of 2025.

  6. F

    Real Gross Domestic Product: Securities, Commodity Contracts, and Other...

    • fred.stlouisfed.org
    json
    Updated Sep 27, 2024
    + more versions
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    (2024). Real Gross Domestic Product: Securities, Commodity Contracts, and Other Financial Investments and Related Activities (523) in Oregon [Dataset]. https://fred.stlouisfed.org/series/ORSECCOMINVRGSP
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    jsonAvailable download formats
    Dataset updated
    Sep 27, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Real Gross Domestic Product: Securities, Commodity Contracts, and Other Financial Investments and Related Activities (523) in Oregon (ORSECCOMINVRGSP) from 1997 to 2023 about contracts, OR, leases, finance, insurance, rent, real estate, investment, GSP, private industries, securities, commodities, private, real, industry, GDP, and USA.

  7. T

    Corn - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2012). Corn - Price Data [Dataset]. https://tradingeconomics.com/commodity/corn
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 15, 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
    May 1, 1912 - Jul 23, 2025
    Area covered
    World
    Description

    Corn rose to 399.78 USd/BU on July 23, 2025, up 0.13% from the previous day. Over the past month, Corn's price has fallen 3.96%, and is down 4.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on July of 2025.

  8. F

    Real Gross Domestic Product: Securities, Commodity Contracts, and Other...

    • fred.stlouisfed.org
    json
    Updated Sep 27, 2024
    + more versions
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    (2024). Real Gross Domestic Product: Securities, Commodity Contracts, and Other Financial Investments and Related Activities (523) in California [Dataset]. https://fred.stlouisfed.org/series/CASECCOMINVRGSP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 27, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Real Gross Domestic Product: Securities, Commodity Contracts, and Other Financial Investments and Related Activities (523) in California (CASECCOMINVRGSP) from 1997 to 2023 about contracts, leases, finance, insurance, rent, real estate, investment, GSP, private industries, securities, CA, commodities, private, real, industry, GDP, and USA.

  9. T

    Wheat - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 22, 2016
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    TRADING ECONOMICS (2025). Wheat - Price Data [Dataset]. https://tradingeconomics.com/commodity/wheat
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Oct 22, 2016
    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 21, 1977 - Jul 22, 2025
    Area covered
    World
    Description

    Wheat rose to 549.54 USd/Bu on July 22, 2025, up 1.34% from the previous day. Over the past month, Wheat's price has fallen 0.58%, but it is still 1.25% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Wheat - values, historical data, forecasts and news - updated on July of 2025.

  10. J

    Commodity Price Volatility and the Sources of Growth (replication data)

    • journaldata.zbw.eu
    pdf, txt
    Updated Dec 7, 2022
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    Tiago Cavalcanti; Kamiar Mohaddes; Mehdi Raissi; Tiago Cavalcanti; Kamiar Mohaddes; Mehdi Raissi (2022). Commodity Price Volatility and the Sources of Growth (replication data) [Dataset]. http://doi.org/10.15456/jae.2022321.0723566018
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    pdf(167711), txt(1130), txt(809843)Available download formats
    Dataset updated
    Dec 7, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Tiago Cavalcanti; Kamiar Mohaddes; Mehdi Raissi; Tiago Cavalcanti; Kamiar Mohaddes; Mehdi Raissi
    License

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

    Description

    This paper studies the impact of the growth and volatility of commodity terms of trade (CToT) on economic growth, total factor productivity, physical capital accumulation and human capital acquisition. We use the standard system generalized methods of moments (GMM) approach as well as the dynamic common correlated effects pooled mean group (CCEPMG) methodology for estimation to account for cross-country heterogeneity, cross-sectional dependence and feedback effects. Using both annual data for 1970-2007 and 5?year non-overlapping observations, we find that while CToT growth enhances real output per capita, CToT volatility exerts a negative impact on economic growth operating mainly through lower accumulation of physical and human capital. Productivity, however, is not affected by either the growth or the volatility of CToT. Our results also indicate that the negative growth effects of CToT volatility offset the positive impact of commodity booms. Therefore, we argue that volatility, rather than abundance per se, drives the resource curse paradox.

  11. r

    Agricultural commodities: March quarter 2016

    • researchdata.edu.au
    Updated Jul 2, 2018
    + more versions
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    Australian Bureau of Agricultural and Resource Economics and Sciences (2018). Agricultural commodities: March quarter 2016 [Dataset]. https://researchdata.edu.au/agricultural-commodities-march-quarter-2016/1437277
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    Dataset updated
    Jul 2, 2018
    Dataset provided by
    data.gov.au
    Authors
    Australian Bureau of Agricultural and Resource Economics and Sciences
    License

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

    Area covered
    Description

    Overview \r This report contains ABARES' latest outlook to 2020-21 for Australia's major agricultural commodities. In addition, this publication includes articles titled: • Farm performance: broadacre and dairy farms, 2013-14 to 2015-16 \r • Productivity in Australian broadacre and dairy industries \r • Disaggregating farm performance statistics by size. \r A limited number of printed copies will be available by contacting info.abares@agriculture.gov.au \r \r Key Issues \r Commodity outlook \r • The gross value of farm production is forecast to increase by 2.7 per cent to around $60.3 billion in 2016-17, following a forecast increase of 9.3 per cent to $58.7 billion in 2015-16. \r • The gross value of livestock production is forecast to increase by around 1.8 per cent to $30.8 billion in 2016-17, following a forecast increase of 13.3 per cent in 2015-16. The gross value of crop production is forecast to increase by 3.7 per cent to $29.5 billion in 2016-17, after a forecast increase of 5.3 per cent in 2015-16. \r • In 2020-21, the gross value of farm production is projected to be $58.5 billion (in 2015-16 dollars), 11 per cent higher than the average of $52.6 billion over the five years to 2014-15 in real terms. The gross value of crop production is projected to be $28.0 billion and the gross value of livestock production is projected to reach $30.4 billion (all in 2015-16 dollars). \r • Export earnings from farm commodities are forecast to be around $45.0 billion in 2016-17, slightly lower than the forecast $45.2 billion in 2015-16. \r • The agricultural commodities for which export earnings are forecast to rise in 2016-17 are wool (up 7 per cent), dairy products (4 per cent), sugar (7 per cent), live feeder/slaughter cattle (9 per cent), cotton (22 per cent) and canola (13 per cent). \r • Forecast increases in 2016-17 are expected to be more than offset by expected declines in export earnings for beef and veal (down 4 per cent), wheat (1 per cent), lamb (3 per cent) and mutton (11 per cent). \r • In 2020-21 the value of farm exports is projected to be around $45.3 billion (in 2015-16 dollars), 11 per cent higher than the average of $40.7 billion over the five years to 2014-15 in real terms. \r • Export earnings for fisheries products are forecast to stay at around $1.7 billion in 2016-17, after increasing by a forecast 15.6 per cent in 2015-16. \r \r Economic assumptions underlying the commodity outlook \r • World economic activity is forecast to increase by 3.2 per cent in 2016 and 3.4 per cent in 2017. World economic growth is expected to rise further to around 3.7 per cent in 2018 and 2019 before falling to 3.5 per cent in 2020 and 2021. \r • In Australia, economic growth is assumed to average 2.5 per cent in 2015-16, and 2.8 per cent in 2016-17. Toward 2020-21, economic growth is assumed to average around 2.7 per cent. \r • The Australian dollar is assumed to average around US71 cents in both 2015-16 and 2016-17. It is assumed to gradually appreciate over the medium term, reaching US74 cents towards 2020-21. \r

  12. Arts and Cultural Production Satellite Account, United States, 1998-2019

    • icpsr.umich.edu
    Updated Apr 26, 2021
    + more versions
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    Inter-university Consortium for Political and Social Research [distributor] (2021). Arts and Cultural Production Satellite Account, United States, 1998-2019 [Dataset]. http://doi.org/10.3886/ICPSR36357.v7
    Explore at:
    Dataset updated
    Apr 26, 2021
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36357/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36357/terms

    Time period covered
    1998 - 2019
    Area covered
    United States
    Description

    The Arts and Cultural Production Satellite Account (ACPSA) is produced through the partnership between the United States Bureau of Economic Analysis (BEA) and the National Endowment for the Arts (NEA). Built with the BEA's input-output (I-O) accounts, the ACPSA provides detailed statistics that illustrate the impact of arts and cultural production on the United States economy. Specifically, this account provides an assessment of the arts and cultural sector's contributions to gross domestic product (GDP). For years 1998 to 2019, the ACPSA presents annual statistics about the following items: (1) Output of detailed arts and cultural commodities and the industries producing these commodities; (2) employment and compensation within these industries; (3) arts and cultural value added by industry; and (4) commodity-flow details for arts and cultural production products. In the data tables provided (click on "Other" in the Dataset(s) section), the statistics fall under two broad categories: (1) core arts and cultural production and (2) supporting arts and cultural production. The core category contains the commodities in which the output primarily contributes to arts and culture. Performing arts, museums, design services, and arts education are included in the core category. The supporting category consists of commodities that support the core category through publication, dissemination of the creative process, or other supportive functions. This category contains event promotion, printing, and broadcasting. Six national-level data tables are provided for each year from 1998 to 2019: Table 1. Production of Commodities by Industry Table 2. Output and Value Added by Industry Table 3. Supply and Consumption of Commodities Table 4. Employment and Compensation of Employees by Industry Table 5. Total ACPSA-related Employment by Industry Table 6. Output by ACPSA Commodity For the years 2012 to 2019, an additional seventh data table is added: Table 7. Real Output by Commodity For years 2001-2019 a state-level employment data table is included. It contains estimates for each state annually of employment and compensation by industry, and comparisons with ACPSA employment and compensation by industry the same year. It also includes the annual total of employment in each state across the arts and cultural commodities industries. In addition, estimates of real value added by industry and estimates of real gross output and prices indexes by ACPSA commodity are provided in separate Excel files (click on "Other" in the Dataset(s) section). The industries and commodities presented in the data are based on the 2007 North American Industrial Classification System (NAICS). Users are encouraged to review the Table Guide provided in the Dataset(s) section as it gives important information for all data tables. Also, users should review The NEA Guide to the U.S. Arts and Cultural Production Satellite Account and other related materials available on NEA's Arts and Cultural Sector. The State-Level ACPSA Value added data contains value added by industry by state. The variables contained in this file are year, state, industry code, industry, and value added location quotient.

  13. F

    Chain-Type Quantity Index for Real GDP: Securities, Commodity Contracts, and...

    • fred.stlouisfed.org
    json
    Updated Sep 27, 2024
    + more versions
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    (2024). Chain-Type Quantity Index for Real GDP: Securities, Commodity Contracts, and Other Financial Investments and Related Activities (523) in Illinois [Dataset]. https://fred.stlouisfed.org/series/ILSECCOMINVQGSP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 27, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Illinois
    Description

    Graph and download economic data for Chain-Type Quantity Index for Real GDP: Securities, Commodity Contracts, and Other Financial Investments and Related Activities (523) in Illinois (ILSECCOMINVQGSP) from 1997 to 2023 about contracts, quantity index, leases, finance, insurance, rent, real estate, IL, investment, GSP, private industries, securities, commodities, private, industry, GDP, and USA.

  14. F

    Chain-Type Quantity Index for Real GDP: Securities, Commodity Contracts, and...

    • fred.stlouisfed.org
    json
    Updated Sep 27, 2024
    + more versions
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    (2024). Chain-Type Quantity Index for Real GDP: Securities, Commodity Contracts, and Other Financial Investments and Related Activities (523) in Idaho [Dataset]. https://fred.stlouisfed.org/series/IDSECCOMINVQGSP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 27, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Idaho
    Description

    Graph and download economic data for Chain-Type Quantity Index for Real GDP: Securities, Commodity Contracts, and Other Financial Investments and Related Activities (523) in Idaho (IDSECCOMINVQGSP) from 1997 to 2023 about contracts, quantity index, ID, leases, finance, insurance, rent, real estate, investment, GSP, private industries, securities, commodities, private, industry, GDP, and USA.

  15. Global import data of Commodities

    • volza.com
    csv
    Updated Jan 7, 2025
    + more versions
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    Volza FZ LLC (2025). Global import data of Commodities [Dataset]. https://www.volza.com/imports-united-states/united-states-import-data-of-commodities
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 7, 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 importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    423157 Global import shipment records of Commodities with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  16. d

    Agricultural commodities: March quarter 2017

    • data.gov.au
    • cloud.csiss.gmu.edu
    microsoft excel, pdf +1
    Updated Aug 11, 2023
    + more versions
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    Australian Bureau of Agricultural and Resource Economics and Sciences (2023). Agricultural commodities: March quarter 2017 [Dataset]. https://data.gov.au/data/dataset/pb_agcomd9abcc20170307_0s6mp
    Explore at:
    microsoft excel, pdf, xmlAvailable download formats
    Dataset updated
    Aug 11, 2023
    Dataset authored and provided by
    Australian Bureau of Agricultural and Resource Economics and Sciences
    License

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

    Description

    Overview
    The March edition of Agricultural commodities contains ABARES' latest outlook for Australia's key agricultural commodities to 2021-22. The outlook will be an important focal point at the conference and underpin many presentations delivered by ABARES speakers at the conference. The report provides updated commodity forecasts, as well as articles on the EU sheep meat industry; farm performance of broadacre and dairy farms; productivity in Australia's broadacre and dairy industries; and disaggregating farm performance by size.

    Key Issues Commodity forecasts
    • The gross value of farm production is forecast to increase by 8.3 per cent to a record $63.8 billion in 2016-17 before easing by 3.9 per cent to a forecast $61.3 billion in 2017-18. Despite the forecast decline, the gross value of farm production in 2017-18 would be 17.3 per cent higher than the average of $52.3 billion over the five years to 2015-16 in nominal terms. • The gross value of livestock production is forecast to increase by around 4.4 per cent to $31.2 billion in 2017-18, following a forecast decrease of 2.6 per cent in 2016-17. If this forecast is realised, the gross value of livestock production in 2017-18 would be around 28 per cent higher than the average of $24.4 billion over the five years to 2015-16 in nominal terms. • The gross value of crop production is forecast to decrease by 11.3 per cent to $30 billion in 2017-18, after a forecast increase of 20.2 per cent in 2016-17. The decrease follows record production of wheat and barley in 2016-17, which resulted from favourable seasonal conditions during winter and spring. If this forecast is realised, the gross value of crop production in 2017-18 would be around 8 per cent higher than the average of $27.9 billion over the five years to 2015-16 in nominal terms. • In 2021-22 the gross value of farm production is projected to be around $59.6 billion (in 2016-17 dollars), 8.6 per cent higher than the average of $54.9 billion over the five years to 2015-16 (also in 2016-17 dollars). In 2021-22 the gross value of crop production is projected to be around $29.0 billion and the gross value of livestock production is projected to be around $30.6 billion (in 2016-17 dollars). • Export earnings from farm commodities are forecast to be around $48.7 billion in 2017-18, higher than the forecast $47.7 billion in 2016-17. • The agricultural commodities for which export earnings are forecast to rise in 2017-18 are beef and veal (up 1 per cent), wool (10 per cent), dairy products (11 per cent), sugar (10 per cent), cotton (35 per cent), wine (5 per cent), lamb (3 per cent), live feeder/slaughter cattle (4 per cent), rock lobster (6 per cent) and mutton (1 per cent). • Forecast increases in 2017-18 are expected to be partly offset by expected declines in export earnings for wheat (down 9 per cent), coarse grains (11 per cent), canola (6 per cent) and chickpeas (42 per cent). • In Australian dollar terms, export prices of wool, dairy products, sugar, wine, lamb, barley, canola, rock lobster and mutton are forecast to increase in 2017-18. Export prices for cotton and chickpeas are forecast to fall. Prices for beef and veal, wheat and live feeder/slaughter cattle are forecast to remain around the same as in 2016-17. • In 2021-22 the value of farm exports is projected to be around $46.6 billion (in 2016-17 dollars), 8 per cent higher than the average of $43.1 billion over the five years to 2015-16 in real terms. • The value of crop exports is projected to be $24.9 billion (in 2016-17 dollars) in 2021-22, 7 per cent higher than the average of $23.2 billion over the five years to 2015-16 in real terms. The value of livestock exports is projected to be $21.8 billion (in 2016-17 dollars) in 2021-22, 10 per cent higher than the average of $19.8 billion over the five years to 2015-16 in real terms. • Export earnings for fisheries products are forecast to increase by 2.3 per cent in 2017-18 to $1.5 billion, after decreasing by a forecast 3.4 per cent in 2016-17.

    Economic assumptions underlying this set of commodity forecasts

    In preparing this set of agricultural commodity forecasts: • World economic growth is assumed to be 3.3 per cent in 2017 and 3.4 per cent in 2018. Growth is expected to rise further to around 3.5 per cent in 2019 before declining to 3.4 per cent in 2021 and 3.3 per cent in 2022. • Economic growth in Australia is assumed to average 2.8 per cent in 2017-18. Over the medium term to 2021-22, economic growth is assumed to average around 3 per cent. • The Australian dollar is assumed to average US73 cents in 2017-18, slightly lower than the forecast average of US75 cents in 2016-17. It is assumed to appreciate slightly over the medium term, reaching US74 cents towards 2021-22.

    Articles on agricultural issues
    The EU sheep meat industry
    • The European Union is one of the world's largest consumers of sheep meat. Imports are controlled by import quotas and prohibitive out-of-quota tariffs. • Australia is the second largest exporter to the European Union, behind New Zealand, although its allocated quota is just 8 per cent that of New Zealand's. • As a high value market for sheep meat, expanding sheep meat exports to the European Union would benefit the Australian industry. However, until the trade outcomes of Brexit are known, opportunities for Australian sheep meat exporters are uncertain.

    Farm performance: broadacre and dairy farms, 2014-15 to 2016-17
    • In 2016-17 farm cash income for Australian broadacre farms is projected to average $216,000 a farm, the highest recorded in the past 20 years. • Record broadacre farm cash incomes this year are the result of near record winter grain production in most regions and good prices for beef cattle, sheep, lamb and wool. • Average farm cash income is projected to increase for broadacre farms in all states except Tasmania in 2016-17. • Farm cash income for dairy farms is projected to decline by 17 per cent nationally to an average of $105,000 a farm in 2016-17, reflecting lower average farmgate milk prices and reduced milk production.

    Productivity in Australia's broadacre and dairy industries
    • From 1977-78 to 2014-15, productivity in the broadacre industries averaged 1.1 per cent a year as a result of declining input use (down 1 per cent a year) and modest output growth (up 0.1 per cent a year). • In the dairy industry, productivity growth averaged 1.5 per cent a year between 1978-79 and 2014-15. This reflected average annual growth of 1.3 per cent in output and an average annual decline of 0.2 per cent in input use.

    Disaggregating farm performance by size
    • The largest 10 per cent of broadacre farms produced 46 per cent of total output, while the smallest 50 per cent of farms produced 12 per cent of total output. • The average rate of return, including capital appreciation, generated by the largest 10 per cent of broadacre farms was 8.2 per cent, while the smallest 10 per cent generated average returns of -2.8 per cent. • The largest 10 per cent of broadacre farms had the lowest average equity ratio of all farms (79 per cent), while the smallest 10 per cent of farms had the highest average equity ratio (97 per cent).

  17. T

    Iron Ore - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 21, 2015
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    TRADING ECONOMICS (2015). Iron Ore - Price Data [Dataset]. https://tradingeconomics.com/commodity/iron-ore
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Dec 21, 2015
    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
    Oct 22, 2010 - Jul 21, 2025
    Area covered
    World
    Description

    Iron Ore rose to 97.84 USD/T on July 21, 2025, up 0.64% from the previous day. Over the past month, Iron Ore's price has risen 3.26%, but it is still 9.54% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Iron Ore - values, historical data, forecasts and news - updated on July of 2025.

  18. Commodities Energy Pricing Data

    • lseg.com
    Updated Nov 25, 2024
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    LSEG (2024). Commodities Energy Pricing Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/commodities-data/energy-commodities-pricing
    Explore at:
    csv,delimited,gzip,html,json,pcap,pdf,parquet,python,sql,string format,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Nov 25, 2024
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Gain the global energy market information you need with LSEG's energy commodities pricing data. Browse the catalogue.

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

    • volza.com
    csv
    Updated Jul 15, 2025
    + more versions
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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
    Jul 15, 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

    8902 Active Global Commodities buyers list and Global Commodities importers directory compiled from actual Global import shipments of Commodities.

  20. F

    Real Gross Domestic Product: Securities, Commodity Contracts, and Other...

    • fred.stlouisfed.org
    json
    Updated Sep 27, 2024
    + more versions
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    (2024). Real Gross Domestic Product: Securities, Commodity Contracts, and Other Financial Investments and Related Activities (523) in Georgia [Dataset]. https://fred.stlouisfed.org/series/GASECCOMINVRGSP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 27, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Georgia
    Description

    Graph and download economic data for Real Gross Domestic Product: Securities, Commodity Contracts, and Other Financial Investments and Related Activities (523) in Georgia (GASECCOMINVRGSP) from 1997 to 2023 about contracts, leases, finance, insurance, rent, real estate, investment, GSP, GA, private industries, securities, commodities, private, real, industry, GDP, and USA.

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John Snow Labs (2021). Real Commodity Trade Weighted Exchange Rates [Dataset]. https://www.johnsnowlabs.com/marketplace/real-commodity-trade-weighted-exchange-rates/
Organization logo

Real Commodity Trade Weighted Exchange Rates

Explore at:
csvAvailable download formats
Dataset updated
Jan 20, 2021
Dataset authored and provided by
John Snow Labs
Time period covered
1970 - 2024
Area covered
United States
Description

This dataset contains real trade-weighted exchange rate indices for many commodities and aggregations important to U.S. agriculture. The data covers information from 1970 to 2024.

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