11 datasets found
  1. T

    Baltic Exchange Dry Index - Price Data

    • tradingeconomics.com
    • sv.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated Mar 27, 2025
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    TRADING ECONOMICS (2025). Baltic Exchange Dry Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/baltic
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Mar 27, 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
    Jan 4, 1985 - Mar 26, 2025
    Area covered
    World
    Description

    Baltic Dry increased 637 points or 63.89% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Baltic Exchange Dry Index - values, historical data, forecasts and news - updated on March of 2025.

  2. Monthly Baltic Dry Index value 2018-2024

    • statista.com
    Updated Oct 15, 2024
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    Statista (2024). Monthly Baltic Dry Index value 2018-2024 [Dataset]. https://www.statista.com/statistics/1035941/baltic-dry-index/
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    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Sep 2024
    Area covered
    Worldwide
    Description

    As of September 30, 2024, the Baltic Dry Index amounted to 2,065 points. This was higher than in the previous month, and higher than in May 2020, immediately after the outbreak of COVID-19, when the index stood at 504. The Baltic Dry Index is based on the current freight cost on various shipping routes and is considered a bellwether of the general shipping market.

  3. C

    China Retail Sales Nowcast: YoY: Contribution: Stock Exchange Index: BEISL:...

    • ceicdata.com
    Updated Mar 10, 2025
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    China Retail Sales Nowcast: YoY: Contribution: Stock Exchange Index: BEISL: Baltic Exchange Capesize Index (BCI_2014) [Dataset]. https://www.ceicdata.com/en/china/ceic-nowcast-retail-sales/retail-sales-nowcast-yoy-contribution-stock-exchange-index-beisl-baltic-exchange-capesize-index-bci2014
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    Dataset updated
    Mar 10, 2025
    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
    Dec 23, 2024 - Mar 10, 2025
    Area covered
    China
    Description

    China Retail Sales Nowcast: YoY: Contribution: Stock Exchange Index: BEISL: Baltic Exchange Capesize Index (BCI_2014) data was reported at 0.146 % in 10 Mar 2025. This records an increase from the previous number of 0.144 % for 03 Mar 2025. China Retail Sales Nowcast: YoY: Contribution: Stock Exchange Index: BEISL: Baltic Exchange Capesize Index (BCI_2014) data is updated weekly, averaging 0.000 % from Feb 2021 (Median) to 10 Mar 2025, with 215 observations. The data reached an all-time high of 0.472 % in 11 Nov 2024 and a record low of 0.000 % in 04 Nov 2024. China Retail Sales Nowcast: YoY: Contribution: Stock Exchange Index: BEISL: Baltic Exchange Capesize Index (BCI_2014) data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s China – Table CN.CEIC.NC: CEIC Nowcast: Retail Sales.

  4. m

    BDI and Commodity returns dataset

    • data.mendeley.com
    • narcis.nl
    Updated Oct 5, 2020
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    Arunava Bandyopadhyay (2020). BDI and Commodity returns dataset [Dataset]. http://doi.org/10.17632/52rwzg92f6.1
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    Dataset updated
    Oct 5, 2020
    Authors
    Arunava Bandyopadhyay
    License

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

    Description

    The dataset contains returns data for Baltic Dry Index and commodity spot prices

  5. Chemical Tanker Market Analysis APAC, Middle East and Africa, North America,...

    • technavio.com
    Updated Feb 27, 2023
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    Technavio (2023). Chemical Tanker Market Analysis APAC, Middle East and Africa, North America, South America, Europe - China, US, Saudi Arabia, Norway, Singapore - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/chemical-tanker-market-analysis
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    Dataset updated
    Feb 27, 2023
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Saudi Arabia, United States, Global
    Description

    Snapshot img

    Chemical Tanker Market Size 2024-2028

    The chemical tanker market size is forecast to increase by USD 10.56 billion at a CAGR of 5.54% between 2023 and 2028.

    The market is experiencing significant growth due to several key trends. One of the primary drivers is the increasing demand for LNG tanker transportation and oil and gas transportation as more countries shift towards cleaner energy sources. Another trend influencing the market is the advancement in propulsion systems such as hybrid electric marine propulsion engines, leading to increased fuel efficiency and reduced emissions.
    Additionally, fluctuations In the Baltic Dry Index (BDI) can impact the market, as it serves as a key indicator of the global economic health and demand for commodities. These factors contribute to the dynamic and evolving nature of the market.
    

    What will be the Size of the Chemical Tanker Market During the Forecast Period?

    Request Free Sample

    The market is a critical segment of the global shipping industry, focusing on the bulk liquid transport of a diverse range of chemicals. This market encompasses the operation of tanker ships specifically designed for chemical cargo, including those transporting hazardous materials. The market's dynamics are influenced by various factors, including cargo handling efficiency, tanker capacity utilization, and the strategic management of tanker routes. Tanker fleet size and maintenance schedules impact the overall supply and demand balance. Tanker loading and unloading processes are essential components of efficient chemical logistics, with safety and environmental considerations playing a significant role. Tanker inspections, certification, and management are crucial for ensuring regulatory compliance and maintaining the highest safety standards.
    Chemical handling and storage equipment, as well as safety and emergency response systems, are integral components of the tanker market. Fuel management systems and environmental protection are increasingly important considerations, with growing emphasis on reducing emissions and minimizing the impact on the marine environment. Overall, the market is characterized by its dynamic nature, driven by the evolving needs of the chemical industry and the global economy.
    

    How is this Chemical Tanker Industry segmented and which is the largest segment?

    The chemical tanker industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Product
    
      Organic chemicals
      Vegetable fats and oils
      Inorganic chemicals
      Others
    
    
    Type
    
      Inland
      Coastal
      Deep sea
    
    
    Geography
    
      APAC
    
        China
        Singapore
    
    
      Middle East and Africa
    
    
    
      North America
    
        US
    
    
      South America
    
    
    
      Europe
    
        Norway
    

    By Product Insights

    The organic chemicals segment is estimated to witness significant growth during the forecast period.
    

    The market experienced significant growth in 2023, with organic chemicals leading the segment due to their extensive usage in various industries such as pharmaceuticals, fertilizers, food and beverages, personal care products, and water treatment. The escalating demand for these chemicals is attributed to their versatility as essential raw materials. The shale gas boom in countries like China and the US has increased the availability of key raw materials, particularly ethylene, leading to enhanced manufacturing capabilities and a broader range of applications. Tanker ships play a crucial role In the shipping industry and LNG infrastructure, facilitating bulk liquid transport, including hazardous materials. Tanker vessels come in various types, including single-hull and double-hull designs, and their construction adheres to stringent safety protocols to ensure cargo containment during transportation.

    Tanker fleets undergo regular inspections, certifications, and maintenance to ensure safe and efficient operations. Cargo handling, loading, and unloading processes are carried out using specialized chemical handling and safety equipment. Tanker vessels are equipped with advanced safety systems, including emergency response and spill prevention measures, navigation and communication systems, and fuel management and environmental protection features. Tanker operations and management involve a skilled crew, adherence to shipping regulations, and robust tanker monitoring systems.

    Get a glance at the Chemical Tanker Industry report of share of various segments. Request Free Sample

    The organic chemicals segment was valued at USD 11.82 billion in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    APAC is estimated to contribute 42% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained

  6. s

    Data from: Compilation of 17 anthropogenic pressure gradients and 18 benthic...

    • research.science.eus
    • zenodo.org
    Updated 2025
    + more versions
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    van Denderen, Daniel; Plaza-Morlote, Maider; Vaz, Sandrine; Wijnhoven, Sander; Bellas, Juan; Bolam, Stefan; Borja, Angel; Fernández-Arcaya, Ulla; García-Alegre, Ana; González-Irusta, José M.; Hansen, Jørgen L. S.; Katsiaras, Nikolaos; Muñoz, Pablo Durán; Nygård, Henrik; Pierucci, Andrea; Reizopoulou, Sofia; Riva, Giada; Sacau, Mar; Serrano, Alberto; Sköld, Mattias; Raicevich, Saša; Hiddink, Jan Geert; van Denderen, Daniel; Plaza-Morlote, Maider; Vaz, Sandrine; Wijnhoven, Sander; Bellas, Juan; Bolam, Stefan; Borja, Angel; Fernández-Arcaya, Ulla; García-Alegre, Ana; González-Irusta, José M.; Hansen, Jørgen L. S.; Katsiaras, Nikolaos; Muñoz, Pablo Durán; Nygård, Henrik; Pierucci, Andrea; Reizopoulou, Sofia; Riva, Giada; Sacau, Mar; Serrano, Alberto; Sköld, Mattias; Raicevich, Saša; Hiddink, Jan Geert (2025). Compilation of 17 anthropogenic pressure gradients and 18 benthic indicators in the Baltic Sea, Atlantic Ocean and Mediterranean Sea [Dataset]. https://research.science.eus/documentos/67a9c7cb19544708f8c72c9d
    Explore at:
    Dataset updated
    2025
    Authors
    van Denderen, Daniel; Plaza-Morlote, Maider; Vaz, Sandrine; Wijnhoven, Sander; Bellas, Juan; Bolam, Stefan; Borja, Angel; Fernández-Arcaya, Ulla; García-Alegre, Ana; González-Irusta, José M.; Hansen, Jørgen L. S.; Katsiaras, Nikolaos; Muñoz, Pablo Durán; Nygård, Henrik; Pierucci, Andrea; Reizopoulou, Sofia; Riva, Giada; Sacau, Mar; Serrano, Alberto; Sköld, Mattias; Raicevich, Saša; Hiddink, Jan Geert; van Denderen, Daniel; Plaza-Morlote, Maider; Vaz, Sandrine; Wijnhoven, Sander; Bellas, Juan; Bolam, Stefan; Borja, Angel; Fernández-Arcaya, Ulla; García-Alegre, Ana; González-Irusta, José M.; Hansen, Jørgen L. S.; Katsiaras, Nikolaos; Muñoz, Pablo Durán; Nygård, Henrik; Pierucci, Andrea; Reizopoulou, Sofia; Riva, Giada; Sacau, Mar; Serrano, Alberto; Sköld, Mattias; Raicevich, Saša; Hiddink, Jan Geert
    Area covered
    Atlantic Ocean, Baltic Sea, Mediterranean Sea
    Description

    Compilation of 17 benthic datasets that sampled benthic ecosystems over gradients of commercial bottom trawling intensity (n=14), eutrophication (n=1), oxygen depletion (n=1) and pollution (n=1) (Table 1).

    Compilation of 18 benthic indicators that were calculated for each gradient dataset. The indicators estimated were community biomass, abundance, richness, relative Margalef diversity, Shannon index, Simpson index, Inverse Simpson, AZTI’s Marine Biotic Index (AMBI), Multivariate AMBI (M-AMBI), BENTIX Biotic Index (BENTIX), Danish Quality Index (DKI), Trawling Disturbance Index (TDI), Modified TDI (mTDI), Modified vulnerability index (mT), Median longevity (Lm), Partial TDI (pTDI), Sentinels of Seabed (SoS), Long-lived fraction (Lf).

    The dataset has information on: 1) indicator outputs per sampling station; 2) combined data tables with gradient, station, and species information; 3) individual gradient information with replicate samples and the environmental variables reported in the original study.

    ----------------

    NOTE: The dataset was updated in February 2025 due to incorrect description of units used for two gradients (Silver Pit and Thames) in the "Individual Gradient Studies" folder.

    ---------------

    Table 1. Overview of anthropogenic gradient datasets

    Location Sampling method Pressure gradient

    Adriatic Sea – Italian EEZ (sand) Rapido trawl Bottom trawling

    Adriatic Sea – Italian EEZ (mud) Rapido trawl Bottom trawling

    North Sea - Dutch EEZ Box core Bottom trawling

    North Sea - Dogger Bank Hamon grab Bottom trawling

    North Sea - Fladen Ground Day grab Bottom trawling

    North Sea - Long Forties Hamon grab Bottom trawling

    North Sea - Silver Pit Box core Bottom trawling

    North Sea – Thames Box core Bottom trawling

    Northern Iberian Coast (sand) Otter trawl Bottom trawling

    Northern Iberian Coast (mud) Otter trawl Bottom trawling

    Baltic Sea - Gotland van Veen grab Bottom trawling

    Baltic Sea – Polish EEZ Box core Bottom trawling

    NW Atlantic - Flemish Cap Otter trawl Bottom trawling

    Irish Sea - Sellafield Day grab Bottom trawling

    Gulf of Finland van Veen grab Oxygen depletion

    Saronikos Gulf Box core Eutrophication

    Vigo Estuary Box core Contaminants

  7. New Baltic Barometer II, 1995

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2010
    + more versions
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    R. Rose (2010). New Baltic Barometer II, 1995 [Dataset]. http://doi.org/10.5255/ukda-sn-6490-1
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    Dataset updated
    2010
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    DataCitehttps://www.datacite.org/
    Authors
    R. Rose
    Description

    The New Baltic Barometer (NBB) was launched in 1993 to reflect opinions in three multi-ethnic societies, Estonia, Latvia and Lithuania, incorporated into the Soviet Union as a consequence of the Second World War. There were six NBB surveys conducted from 1993 to 2004, with many questions repeated to show trends. From 2001, the NBB was merged with the New Democracies Barometer to form New Europe Barometer (available from the UK Data Archive under GN 33355). Therefore the last two NBB surveys are available under SN 5242 and SN 5243 which are part of the New Europe Barometer series.

    Whereas political rhetoric often describes all people of a given nationality as thinking alike, election results show differences of opinion. The NBB documents differences within every nationality in the region along lines of age, education, economic circumstances and gender. Differences within each nationality may be paralleled by similarities between nationalities. Comparisons with the Russians in Russia can be made through the New Russia Barometer (available at the Archive under GN 33374) survey.

    Further information about the NBB survey series is available on the Baltic Voices web site. Additional information about all the Barometer survey series managed by the CSPP can be found on the CSPP Barometer Surveys web site.
    New Baltic Barometer II, 1995 is the second study in the series. The survey was conducted in April 1995 as a systematic comparative analysis of the Baltic population. The questionnaire collected a large amount of data about language, identity and political demands, including the rights and obligations of citizenship, and about the possible impact of Russian actions on the population of Baltic states. It also collected large amounts of information about household economic conditions, economic evaluations and expectations, attitudes toward the old Soviet system and the future, and social and demographic data.

  8. New Baltic Barometer IV, 2000

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2010
    Share
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    R. Rose (2010). New Baltic Barometer IV, 2000 [Dataset]. http://doi.org/10.5255/ukda-sn-6492-1
    Explore at:
    Dataset updated
    2010
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    DataCitehttps://www.datacite.org/
    Authors
    R. Rose
    Description

    The New Baltic Barometer (NBB) was launched in 1993 to reflect opinions in three multi-ethnic societies, Estonia, Latvia and Lithuania, incorporated into the Soviet Union as a consequence of the Second World War. There were six NBB surveys conducted from 1993 to 2004, with many questions repeated to show trends. From 2001, the NBB was merged with the New Democracies Barometer to form New Europe Barometer (available from the UK Data Archive under GN 33355). Therefore the last two NBB surveys are available under SN 5242 and SN 5243 which are part of the New Europe Barometer series.

    Whereas political rhetoric often describes all people of a given nationality as thinking alike, election results show differences of opinion. The NBB documents differences within every nationality in the region along lines of age, education, economic circumstances and gender. Differences within each nationality may be paralleled by similarities between nationalities. Comparisons with the Russians in Russia can be made through the New Russia Barometer (available at the Archive under GN 33374) survey.

    Further information about the NBB survey series is available on the Baltic Voices web site. Additional information about all the Barometer survey series managed by the CSPP can be found on the CSPP Barometer Surveys web site.
    New Baltic Barometer IV, 2000 is the fourth study in the series. The survey asks representative samples of each nationality similar sets of questions about their multiple identities, language use, political attitudes, economic behaviour and social structural conditions. A special feature of the fourth NBB survey is a set of questions about language use at work and the usefulness of learning different languages.

  9. d

    SeaDataNet - Physical oceanography from German Oceanographic Datacentre...

    • b2find.dkrz.de
    Updated Mar 7, 2014
    + more versions
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    (2014). SeaDataNet - Physical oceanography from German Oceanographic Datacentre (PointOfContact; Data Distributor), Federal Research Centre for Fisheries Institute for Baltic Sea Fishery (Data Custodian), point observations - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/0b531e95-17ba-58bb-a10c-5d9d6ced0f47
    Explore at:
    Dataset updated
    Mar 7, 2014
    Description

    SeaDataNet is the Pan-European infrastructure for marine and ocean data management and delivery services. It is supported by the EU under its Research Infrastructures programme. It connects 40 National Oceanographic Data Centres (NODC's) and 50 other data centres from 35 countries, bordering the European seas and Atlantic Ocean. The centres are mostly part of major marine management and research organisations that are acquiring and managing a large collection of marine and ocean data from various disciplines. This includes major international organisations, ICES and IOC-IODE. The overall objective is provide overview and access to marine and oceanographic data and data-products from government and research institutes in Europe. SeaDataNet contributes to the implementation of the EU INSPIRE and Marine Strategy Framework Directives. It also plays a key role in the development and operation of the EU EMODNet initiative. The SeaDataNet infrastructure is fully operational and INSPIRE compliant. It includes a versatile SeaDataNet portal (https://www.seadatanet.org) that provides users with a range of metadata, data and data product access services as well as standards, tools and guides for good marine data management. The Common Data Index (CDI) data discovery and access service provides harmonised access to the large volumes of datasets that are managed by the connected data centres. The CDI service contains already references and gives access to more than 1,5 milllion marine and oceanographic datasets as managed by 90 data centres. These numbers are increasing regularly because of further data population and more connected data centres as part of SeaDataNet II, EMODnet and other EU projects. For inclusion in the SeaDataNet INSPIRE compliant CSW service, the CDI records (at granule level) have been aggregated into CDI collections by a combination of Discipline, Data Centre, and geometric type. Each CSW XML record therefore represents a large collection of individual metadata records and associated datasets. By following the specified URL to the SeaDataNet portal users can evaluate these metadata in detail and request access by downloading of interesting datasets via the shopping cart transaction system that is integrated in the SeaDataNet portal.

  10. E

    SDC_BalticSea_Climatology_TS_V2_monthly

    • erddap.emodnet-physics.eu
    • erddap.ifremer.fr
    Updated Nov 16, 2020
    + more versions
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    SDC_BalticSea_Climatology_TS_V2_monthly [Dataset]. https://erddap.emodnet-physics.eu/erddap/info/SDC_BAL_CLIM_TS_V2_m/index.html
    Explore at:
    Dataset updated
    Nov 16, 2020
    Dataset authored and provided by
    Swedish Meteorological and Hydrological Institute
    Time period covered
    Jan 16, 1959 - Dec 16, 2011
    Area covered
    Variables measured
    time, depth, latitude, longitude, Water_body_salinity, Water_body_salinity_L1, Water_body_salinity_L2, ITS_90_water_temperature, Water_body_salinity_relerr, ITS_90_water_temperature_L1, and 2 more
    Description

    The SDC_BAL_CLIM_TS_V2 product contains Temperature and Salinity Climatologies for Baltic Sea including the seasonal and monthly fields for period 1955-2014 and seasonal fields for 6 decades starting from 1955 to 2014. The climatic fields were computed from the integrated Baltic Sea dataset that combines data extracted from the 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database 2018, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.3.1. area_keywords=Baltic Sea area_keywords_urn=SDN:C19::2 bathymetry_source=The GEBCO Digital Atlas published by the British Oceanographic Data Centre on behalf of IOC and IHO, 2003 cdm_data_type=Grid Conventions=CF-1.6, COARDS, ACDD-1.3 data_access=http://sdn.oceanbrowser.net/data/SeaDataCloud-domains date=2020-11-16T11:30:10 documentation=Link to PIDoc https://dx.doi.org/doi_of_doc doi=https://dx.doi.org/10.12770/110c8c5a-6655-4a39-a4bd-f0f80f849eeb Easternmost_Easting=31.0 file_name=C:\SDC reg coordinator local\TS_v2\update 2019-12-02\aggregation by Reiner\for_DIVA\Julia_notebooks\results\ITS-90_water_temperature_Baltic_monthly_decades_1955-2018_epsilon2_0.2.nc geospatial_lat_max=66.0 geospatial_lat_min=53.0 geospatial_lat_resolution=0.03125 geospatial_lat_units=degrees_north geospatial_lon_max=31.0 geospatial_lon_min=9.0 geospatial_lon_resolution=0.0625 geospatial_lon_units=degrees_east history=Observational data from SeaDataNet infrastructure and CORA 5.2 infoUrl=http://dx.doix.org/10.12770/110c8c5a-6655-4a39-a4bd-f0f80f849eeb institution=SeaDataNet institution_urn=SDN:EDMO::545 keywords_vocabulary=GCMD Science Keywords Northernmost_Northing=66.0 orjan_back_smhi_se=Örjan Bäckorjan.back@smhi.se parameter_keyword=ITS-90 water temperature parameter_keyword_urn=SDN:P35::WATERTEMP product_code=To be provided product_id=b40e347e-27f6-11eb-3e4d-7f69f67d17b3 project=SeaDataCloud search_keywords=Temperature of the water column search_keywords_urn=SDN:P02::TEMP source=Observational data from SeaDataNet infrastructure and CORA 5.2 sourceUrl=(local files) Southernmost_Northing=53.0 standard_name_vocabulary=CF Standard Name Table v70 time_coverage_end=2011-12-16T00:00:00Z time_coverage_start=1959-01-16T00:00:00Z WEB_visualisation=http://sdn.oceanbrowser.net/web-vis/ Westernmost_Easting=9.0

  11. F

    Producer Price Index by Commodity: Lumber and Wood Products: Plywood

    • fred.stlouisfed.org
    json
    Updated Feb 13, 2025
    + more versions
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    (2025). Producer Price Index by Commodity: Lumber and Wood Products: Plywood [Dataset]. https://fred.stlouisfed.org/series/WPU083
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 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: Lumber and Wood Products: Plywood (WPU083) from Jan 1947 to Jan 2025 about wood, commodities, PPI, inflation, price index, indexes, price, and USA.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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TRADING ECONOMICS (2025). Baltic Exchange Dry Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/baltic

Baltic Exchange Dry Index - Price Data

Baltic Exchange Dry Index - Historical Dataset (1985-01-04/2025-03-26)

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28 scholarly articles cite this dataset (View in Google Scholar)
csv, excel, xml, jsonAvailable download formats
Dataset updated
Mar 27, 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
Jan 4, 1985 - Mar 26, 2025
Area covered
World
Description

Baltic Dry increased 637 points or 63.89% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Baltic Exchange Dry Index - values, historical data, forecasts and news - updated on March of 2025.

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