100+ datasets found
  1. Global supply routes (WFP SDI-T - Logistics Database)

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    • +1more
    geojson, shp, txt
    Updated Mar 16, 2023
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    UN Humanitarian Data Exchange (2023). Global supply routes (WFP SDI-T - Logistics Database) [Dataset]. https://data.amerigeoss.org/es/dataset/global-supply-route
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    geojson, shp, txt(3587)Available download formats
    Dataset updated
    Mar 16, 2023
    Dataset provided by
    United Nationshttp://un.org/
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Description

    Global supply routes for Transportation of Food and Non Food Items - Roads, Railways, Waterway, Airways.

    This layer is built by linking origin/destination locations using the most direct route on main roads. In reality, the supply routes can divert from the ones displayed here depending on many local factors. The routes shown in this dataset are only indicative and have to be used as such.

  2. d

    BoldData - B2B Contact Data & Company Data in Transport and Logistics (1.3M...

    • datarade.ai
    Updated Mar 18, 2021
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    CompanyData.com (BoldData) (2021). BoldData - B2B Contact Data & Company Data in Transport and Logistics (1.3M contacts) [Dataset]. https://datarade.ai/data-products/transport-and-logistics-data-bolddata
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    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Mar 18, 2021
    Dataset authored and provided by
    CompanyData.com (BoldData)
    Area covered
    Libya, Ireland, Slovakia, Denmark, Egypt, Armenia, Qatar, Cyprus, Ecuador, Chile
    Description

    BoldData gives you access to more than 1.3 million high quality contacts in the Logistics industry. Grow your business and target thousands of Transportation companies, Moving companies, Air Transport companies and Couries companies

    We guarantee the most extensive and precise list of Logistics companies in the market. All the Logistics Companies Database we supply can be selected on country, employees and industry. Discover the possibilities in the overview below and request a quote by filling in the contact form.

  3. Global railways (WFP SDI-T - Logistics Database)

    • data.humdata.org
    • cloud.csiss.gmu.edu
    • +2more
    geojson, shp
    Updated Sep 23, 2021
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    WFP - World Food Programme (2021). Global railways (WFP SDI-T - Logistics Database) [Dataset]. https://data.humdata.org/dataset/41e5683d-5ddd-4ee8-b3ea-d37eacd01061?force_layout=desktop
    Explore at:
    shp, geojsonAvailable download formats
    Dataset updated
    Sep 23, 2021
    Dataset provided by
    World Food Programmehttp://da.wfp.org/
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Description

    This layer contains geodata about global railways

  4. Global Airports (WFP SDI-T - Logistics Database)

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    geojson, shp, txt
    Updated Oct 12, 2021
    + more versions
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    UN Humanitarian Data Exchange (2021). Global Airports (WFP SDI-T - Logistics Database) [Dataset]. https://data.amerigeoss.org/ro/dataset/global-logistics
    Explore at:
    txt(4956), geojson, shpAvailable download formats
    Dataset updated
    Oct 12, 2021
    Dataset provided by
    United Nationshttp://un.org/
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Description

    This layer contains airports locations. This dataset brings together various public sources such as OpenStreetMap or ourairports.com with WFP logistics information. It is updated regularly with inputs from WFP aviation unit but also from many partners through the Logistics Cluster and the Logistics Capacity Assessment (LCA: dlca.logcluster.org). The information is compiled at a global level by the Emergency and Preparedness Geospatial Information Unit at the World Food Programme (WFP) Headquarters in Rome, Italy.

    This dataset is at a global scale and is updated country by country. The last update date can be retrieved from the data of the country of interest.

    Feel free to contribute to this dataset by contacting hq.gis@wfp.org.

  5. Global obstacles (WFP SDI-T - Logistics Database)

    • cloud.csiss.gmu.edu
    • data.amerigeoss.org
    • +1more
    geojson, txt +1
    Updated Jun 18, 2019
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    UN Humanitarian Data Exchange (2019). Global obstacles (WFP SDI-T - Logistics Database) [Dataset]. http://cloud.csiss.gmu.edu/uddi/el/dataset/global-obstacles
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    zipped shapefile, txt(3226), geojsonAvailable download formats
    Dataset updated
    Jun 18, 2019
    Dataset provided by
    United Nationshttp://un.org/
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Description

    This layer contains information about obstacles in different countries where WFP operates

  6. p

    Logistics in Massachusetts, United States - 19 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 30, 2025
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    Poidata.io (2025). Logistics in Massachusetts, United States - 19 Verified Listings Database [Dataset]. https://www.poidata.io/report/logistics/united-states/massachusetts
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    csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Massachusetts, United States
    Description

    Comprehensive dataset of 19 Logistics in Massachusetts, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  7. A

    Global stations (WFP SDI-T - Logistics Database)

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    • +1more
    geojson, shp, txt
    Updated Mar 16, 2023
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    UN Humanitarian Data Exchange (2023). Global stations (WFP SDI-T - Logistics Database) [Dataset]. https://data.amerigeoss.org/de/dataset/global-stations
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    txt(3431), geojson, shpAvailable download formats
    Dataset updated
    Mar 16, 2023
    Dataset provided by
    UN Humanitarian Data Exchange
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Description

    This layer contains information about global station of bus, train and ferry

  8. Global bridges (WFP SDI-T - Logistics Database)

    • cloud.csiss.gmu.edu
    • data.amerigeoss.org
    • +1more
    geojson, txt +1
    Updated Jun 18, 2019
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    UN Humanitarian Data Exchange (2019). Global bridges (WFP SDI-T - Logistics Database) [Dataset]. http://cloud.csiss.gmu.edu/uddi/pl/dataset/global-bridges
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    txt(5813), geojson, zipped shapefileAvailable download formats
    Dataset updated
    Jun 18, 2019
    Dataset provided by
    United Nationshttp://un.org/
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Description

    This layer contains information about bridges

  9. Transport and Logistics Data | B2B Contact Data for Global Logistics Sector...

    • datarade.ai
    + more versions
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    Success.ai, Transport and Logistics Data | B2B Contact Data for Global Logistics Sector | Verified Profiles with Operational Insights | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/transport-and-logistics-data-b2b-contact-data-for-global-lo-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Marshall Islands, Greenland, Sint Eustatius and Saba, Algeria, Germany, Guam, Austria, Swaziland, Saint Helena, Mali
    Description

    Success.ai’s Transport and Logistics Data provides comprehensive, verified B2B contact and company information tailored for the global logistics sector. Drawing from a database of over 170 million verified professional profiles and 30 million company profiles, this dataset delivers accurate contact details, firmographic insights, and operational data on logistics service providers, freight forwarders, trucking companies, 3PLs, and supply chain management firms worldwide. Whether you’re targeting key decision-makers for partnerships, offering freight optimization technology, or conducting market research, Success.ai ensures your outreach and strategic planning are anchored in reliable, continuously updated, and AI-validated data.

    Why Choose Success.ai’s Transport and Logistics Data?

    1. Comprehensive Contact Information

      • Access verified work emails, direct phone numbers, and LinkedIn profiles of logistics leaders, operations managers, procurement officers, and supply chain directors.
      • AI-driven validation ensures 99% accuracy, allowing confident communication and reducing wasted outreach efforts.
    2. Global Reach Across the Logistics Sector

      • Includes profiles from freight carriers, warehousing solutions, customs brokers, freight forwarders, and last-mile delivery companies.
      • Covers regions including North America, Europe, Asia-Pacific, South America, and the Middle East, giving you a panoramic view of logistics networks worldwide.
    3. Continuously Updated Datasets

      • Real-time updates ensure your data remains current, reflecting changes in leadership, service offerings, and operational expansions in the rapidly evolving logistics industry.
    4. Ethical and Compliant

      • Adheres to GDPR, CCPA, and other global data privacy regulations, guaranteeing that your outreach and data usage align with legal and ethical standards.

    Data Highlights:

    • 170M+ Verified Professional Profiles: Connect with logistics professionals, key decision-makers, and operational leaders.
    • 50M Work Emails: AI-validated for seamless communication with minimized bounce rates.
    • 30M Company Profiles: In-depth firmographic and operational insights on logistics companies worldwide.
    • 700M Global Professional Profiles: Enriched datasets to support competitive analysis, market entry strategies, and global expansion.

    Key Features of the Dataset:

    1. Logistics Decision-Maker Profiles

      • Identify and connect with CEOs, COOs, logistics managers, route planners, and procurement specialists influencing transportation strategies, warehousing decisions, and supply chain optimization.
    2. Operational Firmographics and Insights

      • Access data on fleet size, service areas, warehouse locations, technology adoption, and shipping volumes to refine targeting and tailor your value propositions.
      • Utilize detailed operational insights to understand capacity constraints, specialization areas, and strategic priorities.
    3. Advanced Filters for Precision Targeting

      • Filter contacts by mode of transportation (road, rail, air, sea), geographic coverage, company size, or industry specialization.
      • Align campaigns with unique market conditions, regulatory environments, and customer demands.
    4. AI-Driven Enrichment

      • Profiles are enriched with actionable data, enabling personalized messaging, highlighting value-add solutions, and improving engagement outcomes with logistics stakeholders.

    Strategic Use Cases:

    1. Sales and Business Development

      • Engage with freight forwarders, trucking companies, and 3PL executives to present transportation management systems, visibility tools, or cost-reduction strategies.
      • Build relationships with leaders who control capacity planning, vendor selection, and route optimization.
    2. Market Research and Competitive Analysis

      • Gain insights into emerging logistics hubs, evolving supply chain models, and technology adoption rates.
      • Benchmark against industry leaders to inform product innovation, pricing strategies, and market entry plans.
    3. Partnership and Network Building

      • Identify potential partners for intermodal solutions, joint ventures, or collaborative warehousing arrangements.
      • Target logistics professionals interested in sustainability initiatives, e-commerce integrations, and cross-border trade solutions.
    4. Recruitment and Talent Acquisition

      • Find HR professionals and operations managers seeking qualified drivers, dispatchers, warehouse staff, and logistics analysts.
      • Offer recruitment services or training programs to companies aiming to enhance operational efficiency and workforce quality.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access top-quality verified data at competitive prices, ensuring maximum ROI for your outreach and expansion efforts in the logistics sector.
    2. Seamless Integration

      • Integrate verified contact an...
  10. Global ports (WFP SDI-T - Logistics Database)

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    • +1more
    geojson, txt +1
    Updated Sep 14, 2018
    + more versions
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    WFP - World Food Programme (2018). Global ports (WFP SDI-T - Logistics Database) [Dataset]. https://data.wu.ac.at/schema/data_humdata_org/NzkxMGY0ZDAtMjg0Ni00MzI5LWI3MGYtZDY0YTJjOTE4NjU4
    Explore at:
    txt(4076.0), geojson, zipped shapefileAvailable download formats
    Dataset updated
    Sep 14, 2018
    Dataset provided by
    World Food Programmehttp://da.wfp.org/
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Description

    This layer contains ports locations. This dataset brings together various public sources with WFP logistics information. It is updated regularly with inputs from WFP logistics but also from many partners through the Logistics Cluster and the Logistics Capacity Assessment (LCA: dlca.logcluster.org). The information is compiled at a global level by the Emergency and Preparedness Geospatial Information Unit at the World Food Programme (WFP) Headquarters in Rome, Italy.

    This dataset is at a global scale and is updated country by country. The last update date can be retrieved from the data of the country of interest.

    Feel free to contribute to this dataset by contacting hq.gis@wfp.org.

  11. Transport and Logistics Data | Logistics Professionals Worldwide | Verified...

    • data.success.ai
    Updated Dec 17, 2024
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    Success.ai (2024). Transport and Logistics Data | Logistics Professionals Worldwide | Verified Professional Histories & Contact Details | Best Price Guarantee [Dataset]. https://data.success.ai/products/transport-and-logistics-data-logistics-professionals-worldw-success-ai
    Explore at:
    Dataset updated
    Dec 17, 2024
    Dataset provided by
    Area covered
    Lesotho, Andorra, Bhutan, Uganda, Guinea-Bissau, Libya, Taiwan, Kyrgyzstan, Congo, Saint Kitts and Nevis
    Description

    Access verified Transport and Logistics Data for logistics professionals globally with Success.ai. Includes work emails, phone numbers, and decision-maker insights. Best price guaranteed.

  12. Bulgaria BG: Logistics Performance Index: 1=Low To 5=High: Overall

    • ceicdata.com
    Updated Apr 15, 2023
    + more versions
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    CEICdata.com (2023). Bulgaria BG: Logistics Performance Index: 1=Low To 5=High: Overall [Dataset]. https://www.ceicdata.com/en/bulgaria/transportation/bg-logistics-performance-index-1low-to-5high-overall
    Explore at:
    Dataset updated
    Apr 15, 2023
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2007 - Dec 1, 2018
    Area covered
    Bulgaria
    Variables measured
    Vehicle Traffic
    Description

    Bulgaria BG: Logistics Performance Index: 1=Low To 5=High: Overall data was reported at 3.200 NA in 2022. This records an increase from the previous number of 3.030 NA for 2018. Bulgaria BG: Logistics Performance Index: 1=Low To 5=High: Overall data is updated yearly, averaging 3.030 NA from Dec 2007 (Median) to 2022, with 7 observations. The data reached an all-time high of 3.210 NA in 2012 and a record low of 2.808 NA in 2016. Bulgaria BG: Logistics Performance Index: 1=Low To 5=High: Overall data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bulgaria – Table BG.World Bank.WDI: Transportation. The Logistics Performance Index overall score reflects perceptions of a country's logistics based on the efficiency of customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from the Logistics Performance Index survey conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. The 2023 LPI survey was conducted from September 6 to November 5, 2022. It provided 4,090 country assessments by 652 logistics professionals in 115 countries in all World Bank regions. Respondents evaluate eight countries on six core dimensions on a scale from 1 (worst) to 5 (best). The eight countries are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are included in Appendix 5 of the 2023 LPI report available at: https://lpi.worldbank.org/report.;Data are available online at: https://lpi.worldbank.org/. Summary results are published in World Bank (2023): Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators.;Unweighted average;

  13. C

    China CN: Logistics Industry: Logistics Value

    • ceicdata.com
    Updated Sep 15, 2020
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    CEICdata.com, China CN: Logistics Industry: Logistics Value [Dataset]. https://www.ceicdata.com/en/china/logistics-value/cn-logistics-industry-logistics-value
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    Dataset updated
    Sep 15, 2020
    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 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Vehicle Traffic
    Description

    China Logistics Industry: Logistics Value data was reported at 352,400.000 RMB bn in 2023. This records an increase from the previous number of 347,600.000 RMB bn for 2022. China Logistics Industry: Logistics Value data is updated yearly, averaging 75,228.300 RMB bn from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 352,400.000 RMB bn in 2023 and a record low of 3,029.100 RMB bn in 1991. China Logistics Industry: Logistics Value data remains active status in CEIC and is reported by China Federation of Logistics & Purchasing. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TL: Logistics Value.

  14. p

    Logistics Services in South Dakota, United States - 352 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jul 23, 2025
    + more versions
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    Poidata.io (2025). Logistics Services in South Dakota, United States - 352 Verified Listings Database [Dataset]. https://www.poidata.io/report/logistics-service/united-states/south-dakota
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    csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 23, 2025
    Dataset provided by
    Poidata.io
    Area covered
    South Dakota, United States
    Description

    Comprehensive dataset of 352 Logistics services in South Dakota, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  15. A

    Austria AT: Logistics Performance Index: 1=Low To 5=High: Quality of Trade...

    • ceicdata.com
    + more versions
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    CEICdata.com, Austria AT: Logistics Performance Index: 1=Low To 5=High: Quality of Trade and Transport-Related Infrastructure [Dataset]. https://www.ceicdata.com/en/austria/transportation/at-logistics-performance-index-1low-to-5high-quality-of-trade-and-transportrelated-infrastructure
    Explore at:
    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 1, 2007 - Dec 1, 2022
    Area covered
    Austria
    Variables measured
    Vehicle Traffic
    Description

    Austria AT: Logistics Performance Index: 1=Low To 5=High: Quality of Trade and Transport-Related Infrastructure data was reported at 3.900 NA in 2022. This records a decrease from the previous number of 4.180 NA for 2018. Austria AT: Logistics Performance Index: 1=Low To 5=High: Quality of Trade and Transport-Related Infrastructure data is updated yearly, averaging 4.050 NA from Dec 2007 (Median) to 2022, with 7 observations. The data reached an all-time high of 4.180 NA in 2018 and a record low of 3.636 NA in 2014. Austria AT: Logistics Performance Index: 1=Low To 5=High: Quality of Trade and Transport-Related Infrastructure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Austria – Table AT.World Bank.WDI: Transportation. Data are from the Logistics Performance Index survey conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. Respondents evaluate eight countries on six core dimensions on a scale from 1 (worst) to 5 (best). The eight countries are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. The 2023 LPI survey was conducted from September 6 to November 5, 2022. It provided 4,090 country assessments by 652 logistics professionals in 115 countries in all World Bank regions. Details of the survey methodology and index construction methodology are included in Appendix 5 of the 2023 LPI report available at: https://lpi.worldbank.org/report. Respondents evaluated the quality of trade and transport related infrastructure (e.g. ports, railroads, roads, information technology), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.;Data are available online at: https://lpi.worldbank.org/. Summary results are published in World Bank (2023): Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators.;Unweighted average;

  16. C

    China CN: Logistics Industry: Logistics Value: Imported Good

    • ceicdata.com
    Updated Dec 15, 2020
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    CEICdata.com (2020). China CN: Logistics Industry: Logistics Value: Imported Good [Dataset]. https://www.ceicdata.com/en/china/logistics-value/cn-logistics-industry-logistics-value-imported-good
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    Dataset updated
    Dec 15, 2020
    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 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Vehicle Traffic
    Description

    China Logistics Industry: Logistics Value: Imported Good data was reported at 18,000.000 RMB bn in 2023. This records a decrease from the previous number of 18,100.000 RMB bn for 2022. China Logistics Industry: Logistics Value: Imported Good data is updated yearly, averaging 6,857.000 RMB bn from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 18,100.000 RMB bn in 2022 and a record low of 339.500 RMB bn in 1991. China Logistics Industry: Logistics Value: Imported Good data remains active status in CEIC and is reported by China Federation of Logistics & Purchasing. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TL: Logistics Value.

  17. T

    United States - Logistics Performance Index: Overall (1=low To 5=high)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 22, 2013
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    TRADING ECONOMICS (2013). United States - Logistics Performance Index: Overall (1=low To 5=high) [Dataset]. https://tradingeconomics.com/united-states/logistics-performance-index-overall-1-low-to-5-high-wb-data.html
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    json, xml, csv, excelAvailable download formats
    Dataset updated
    Jul 22, 2013
    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

    Logistics performance index: Overall (1=low to 5=high) in United States was reported at 3.8 1=low to 5=high in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Logistics performance index: Overall (1=low to 5=high) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  18. Global Border Crossing Points (WFP SDI-T Logistics Database)

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    • +1more
    geojson, shp, txt
    Updated Oct 12, 2021
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    UN Humanitarian Data Exchange (2021). Global Border Crossing Points (WFP SDI-T Logistics Database) [Dataset]. https://data.amerigeoss.org/dataset/global-border-crossing-points
    Explore at:
    geojson, shp, txt(3598)Available download formats
    Dataset updated
    Oct 12, 2021
    Dataset provided by
    United Nationshttp://un.org/
    United Nations Office for the Coordination of Humanitarian Affairshttp://www.unocha.org/
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Description

    This layer contains information about Global Border Crossing Points used for humanitarian operations.

  19. T

    Turkey TR: Logistics Performance Index: 1=Low To 5=High: Competence and...

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Turkey TR: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services [Dataset]. https://www.ceicdata.com/en/turkey/transportation/tr-logistics-performance-index-1low-to-5high-competence-and-quality-of-logistics-services
    Explore at:
    Dataset updated
    Jan 15, 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 1, 2007 - Dec 1, 2016
    Area covered
    Türkiye
    Variables measured
    Vehicle Traffic
    Description

    Turkey TR: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services data was reported at 3.312 NA in 2016. This records a decrease from the previous number of 3.641 NA for 2014. Turkey TR: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services data is updated yearly, averaging 3.312 NA from Dec 2007 (Median) to 2016, with 5 observations. The data reached an all-time high of 3.641 NA in 2014 and a record low of 3.230 NA in 2010. Turkey TR: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Turkey – Table TR.World Bank.WDI: Transportation. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the overall level of competence and quality of logistics services (e.g. transport operators, customs brokers), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.; ; World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.; Unweighted average;

  20. China CN: Logistics Prosperity Index(LPI)

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Logistics Prosperity Index(LPI) [Dataset]. https://www.ceicdata.com/en/china/logistics-prosperity-indexlpi/cn-logistics-prosperity-indexlpi
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    China
    Variables measured
    Vehicle Traffic
    Description

    China Logistics Prosperity Index(LPI) data was reported at 51.500 % in Mar 2025. This records an increase from the previous number of 49.300 % for Feb 2025. China Logistics Prosperity Index(LPI) data is updated monthly, averaging 53.350 % from Dec 2011 (Median) to Mar 2025, with 158 observations. The data reached an all-time high of 59.500 % in Mar 2012 and a record low of 26.200 % in Feb 2020. China Logistics Prosperity Index(LPI) data remains active status in CEIC and is reported by China Federation of Logistics & Purchasing. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TL: Logistics Prosperity Index(LPI).

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UN Humanitarian Data Exchange (2023). Global supply routes (WFP SDI-T - Logistics Database) [Dataset]. https://data.amerigeoss.org/es/dataset/global-supply-route
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Global supply routes (WFP SDI-T - Logistics Database)

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geojson, shp, txt(3587)Available download formats
Dataset updated
Mar 16, 2023
Dataset provided by
United Nationshttp://un.org/
License

http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

Description

Global supply routes for Transportation of Food and Non Food Items - Roads, Railways, Waterway, Airways.

This layer is built by linking origin/destination locations using the most direct route on main roads. In reality, the supply routes can divert from the ones displayed here depending on many local factors. The routes shown in this dataset are only indicative and have to be used as such.

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