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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.
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.
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This layer contains geodata about global railways
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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.
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This layer contains information about obstacles in different countries where WFP operates
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.
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This layer contains information about global station of bus, train and ferry
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This layer contains information about bridges
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?
Comprehensive Contact Information
Global Reach Across the Logistics Sector
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Logistics Decision-Maker Profiles
Operational Firmographics and Insights
Advanced Filters for Precision Targeting
AI-Driven Enrichment
Strategic Use Cases:
Sales and Business Development
Market Research and Competitive Analysis
Partnership and Network Building
Recruitment and Talent Acquisition
Why Choose Success.ai?
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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.
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.
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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;
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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.
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.
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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;
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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.
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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.
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This layer contains information about Global Border Crossing Points used for humanitarian operations.
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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;
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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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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.