Sudan Transportation
Sudan SD: Air Transport: Freight
SD: Air Transport: Freight data was reported at 5.667 Ton-km mn in 2017. This records an increase from the previous number of 5.148 Ton-km mn for 2016. SD: Air Transport: Freight data is updated yearly, averaging 13.769 Ton-km mn from Dec 1970 to 2017, with 48 observations. The data reached an all-time high of 52.600 Ton-km mn in 1995 and a record low of 1.700 Ton-km mn in 1972. SD: Air Transport: Freight data remains active status in CEIC and is reported by World Bank. The data is categorized under World Trend Plus’s Association: Aviation Sector – Table SD.World Bank.WDI: Transportation. Air freight is the volume of freight, express, and diplomatic bags carried on each flight stage (operation of an aircraft from takeoff to its next landing), measured in metric tons times kilometers traveled.; ; International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 5.67 2017 | yearly | 1970 - 2017 |
View Sudan's Sudan SD: Air Transport: Freight from 1970 to 2017 in the chart:
Sudan SD: Air Transport: Passengers Carried
SD: Air Transport: Passengers Carried data was reported at 328,741.000 Person in 2017. This records an increase from the previous number of 292,843.000 Person for 2016. SD: Air Transport: Passengers Carried data is updated yearly, averaging 430,200.000 Person from Dec 1970 to 2017, with 48 observations. The data reached an all-time high of 947,031.456 Person in 2011 and a record low of 124,700.000 Person in 1970. SD: Air Transport: Passengers Carried data remains active status in CEIC and is reported by World Bank. The data is categorized under World Trend Plus’s Association: Aviation Sector – Table SD.World Bank: Transportation. Air passengers carried include both domestic and international aircraft passengers of air carriers registered in the country.; ; International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 328,741.00 2017 | yearly | 1970 - 2017 |
View Sudan's Sudan SD: Air Transport: Passengers Carried from 1970 to 2017 in the chart:
Sudan SD: Air Transport: Registered Carrier Departures Worldwide
SD: Air Transport: Registered Carrier Departures Worldwide data was reported at 3,265.000 Unit in 2017. This records an increase from the previous number of 3,165.000 Unit for 2016. SD: Air Transport: Registered Carrier Departures Worldwide data is updated yearly, averaging 8,767.000 Unit from Dec 1970 to 2017, with 48 observations. The data reached an all-time high of 16,727.088 Unit in 2011 and a record low of 3,165.000 Unit in 2016. SD: Air Transport: Registered Carrier Departures Worldwide data remains active status in CEIC and is reported by World Bank. The data is categorized under World Trend Plus’s Association: Aviation Sector – Table SD.World Bank.WDI: Transportation. Registered carrier departures worldwide are domestic takeoffs and takeoffs abroad of air carriers registered in the country.; ; International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.; Sum;
| Last | Frequency | Range |
|---|---|---|
| 3,265.00 2017 | yearly | 1970 - 2017 |
View Sudan's Sudan SD: Air Transport: Registered Carrier Departures Worldwide from 1970 to 2017 in the chart:
Sudan SD: Container Port Traffic: TEU (20 Foot Equivalent Units)
SD: Container Port Traffic: TEU (20 Foot Equivalent Units) data was reported at 551,900.000 TEU in 2017. This records an increase from the previous number of 538,000.000 TEU for 2016. SD: Container Port Traffic: TEU (20 Foot Equivalent Units) data is updated yearly, averaging 441,000.000 TEU from Dec 2007 to 2017, with 11 observations. The data reached an all-time high of 551,900.000 TEU in 2017 and a record low of 342,152.000 TEU in 2007. SD: Container Port Traffic: TEU (20 Foot Equivalent Units) data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Transportation. Port container traffic measures the flow of containers from land to sea transport modes., and vice versa, in twenty-foot equivalent units (TEUs), a standard-size container. Data refer to coastal shipping as well as international journeys. Transshipment traffic is counted as two lifts at the intermediate port (once to off-load and again as an outbound lift) and includes empty units.; ; UNCTAD (http://unctad.org/en/Pages/statistics.aspx); Sum;
| Last | Frequency | Range |
|---|---|---|
| 551,906.00 2016 | yearly | 2007 - 2016 |
View Sudan's Sudan SD: Container Port Traffic: TEU (20 Foot Equivalent Units) from 2007 to 2016 in the chart:
Sudan SD: Liner Shipping Connectivity Index: Maximum Value In 2004 = 100
SD: Liner Shipping Connectivity Index: Maximum Value In 2004 = 100 data was reported at 18.410 NA in 2016. This records an increase from the previous number of 14.580 NA for 2015. SD: Liner Shipping Connectivity Index: Maximum Value In 2004 = 100 data is updated yearly, averaging 9.280 NA from Dec 2004 to 2016, with 13 observations. The data reached an all-time high of 18.410 NA in 2016 and a record low of 5.380 NA in 2008. SD: Liner Shipping Connectivity Index: Maximum Value In 2004 = 100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Transportation. The Liner Shipping Connectivity Index captures how well countries are connected to global shipping networks. It is computed by the United Nations Conference on Trade and Development (UNCTAD) based on five components of the maritime transport sector: number of ships, their container-carrying capacity, maximum vessel size, number of services, and number of companies that deploy container ships in a country's ports. For each component a country's value is divided by the maximum value of each component in 2004, the five components are averaged for each country, and the average is divided by the maximum average for 2004 and multiplied by 100. The index generates a value of 100 for the country with the highest average index in 2004. . The underlying data come from Containerisation International Online.; ; United Nations Conference on Trade and Development, Review of Maritime Transport 2010.; ;
| Last | Frequency | Range |
|---|---|---|
| 18.41 2016 | yearly | 2004 - 2016 |
View Sudan's Sudan SD: Liner Shipping Connectivity Index: Maximum Value In 2004 = 100 from 2004 to 2016 in the chart:
Sudan SD: Logistics Performance Index: 1=Low To 5=High: Ability to Track and Trace Consignments
SD: Logistics Performance Index: 1=Low To 5=High: Ability to Track and Trace Consignments data was reported at 2.485 NA in 2016. This records an increase from the previous number of 2.416 NA for 2014. SD: Logistics Performance Index: 1=Low To 5=High: Ability to Track and Trace Consignments data is updated yearly, averaging 2.416 NA from Dec 2007 to 2016, with 5 observations. The data reached an all-time high of 2.920 NA in 2007 and a record low of 1.890 NA in 2012. SD: Logistics Performance Index: 1=Low To 5=High: Ability to Track and Trace Consignments data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: 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 ability to track and trace consignments when shipping to the market, 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;
| Last | Frequency | Range |
|---|---|---|
| 2.49 2016 | yearly | 2007 - 2016 |
View Sudan's Sudan SD: Logistics Performance Index: 1=Low To 5=High: Ability to Track and Trace Consignments from 2007 to 2016 in the chart:
Sudan SD: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services
SD: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services data was reported at 2.361 NA in 2016. This records an increase from the previous number of 2.180 NA for 2014. SD: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services data is updated yearly, averaging 2.330 NA from Dec 2007 to 2016, with 5 observations. The data reached an all-time high of 2.830 NA in 2007 and a record low of 2.150 NA in 2010. SD: 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 Sudan – Table SD.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;
| Last | Frequency | Range |
|---|---|---|
| 2.36 2016 | yearly | 2007 - 2016 |
View Sudan's Sudan SD: Logistics Performance Index: 1=Low To 5=High: Competence and Quality of Logistics Services from 2007 to 2016 in the chart:
Sudan SD: Logistics Performance Index: 1=Low To 5=High: Ease of Arranging Competitively Priced Shipments
SD: Logistics Performance Index: 1=Low To 5=High: Ease of Arranging Competitively Priced Shipments data was reported at 2.568 NA in 2016. This records an increase from the previous number of 2.231 NA for 2014. SD: Logistics Performance Index: 1=Low To 5=High: Ease of Arranging Competitively Priced Shipments data is updated yearly, averaging 2.231 NA from Dec 2007 to 2016, with 5 observations. The data reached an all-time high of 2.670 NA in 2007 and a record low of 1.930 NA in 2012. SD: Logistics Performance Index: 1=Low To 5=High: Ease of Arranging Competitively Priced Shipments data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.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 assessed the ease of arranging competitively priced shipments to markets, on a rating ranging from 1 (very difficult) to 5 (very easy). 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;
| Last | Frequency | Range |
|---|---|---|
| 2.57 2016 | yearly | 2007 - 2016 |
View Sudan's Sudan SD: Logistics Performance Index: 1=Low To 5=High: Ease of Arranging Competitively Priced Shipments from 2007 to 2016 in the chart:
Sudan SD: Logistics Performance Index: 1=Low To 5=High: Efficiency of Customs Clearance Process
SD: Logistics Performance Index: 1=Low To 5=High: Efficiency of Customs Clearance Process data was reported at 2.234 NA in 2016. This records an increase from the previous number of 1.867 NA for 2014. SD: Logistics Performance Index: 1=Low To 5=High: Efficiency of Customs Clearance Process data is updated yearly, averaging 2.140 NA from Dec 2007 to 2016, with 5 observations. The data reached an all-time high of 2.360 NA in 2007 and a record low of 1.867 NA in 2014. SD: Logistics Performance Index: 1=Low To 5=High: Efficiency of Customs Clearance Process data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.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 efficiency of customs clearance processes (i.e. speed, simplicity and predictability of formalities), 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;
| Last | Frequency | Range |
|---|---|---|
| 2.23 2016 | yearly | 2007 - 2016 |
View Sudan's Sudan SD: Logistics Performance Index: 1=Low To 5=High: Efficiency of Customs Clearance Process from 2007 to 2016 in the chart:
Sudan SD: Logistics Performance Index: 1=Low To 5=High: Frequency with which Shipments Reach Consignee within Scheduled or Expected Time
SD: Logistics Performance Index: 1=Low To 5=High: Frequency with which Shipments Reach Consignee within Scheduled or Expected Time data was reported at 3.276 NA in 2016. This records an increase from the previous number of 2.330 NA for 2014. SD: Logistics Performance Index: 1=Low To 5=High: Frequency with which Shipments Reach Consignee within Scheduled or Expected Time data is updated yearly, averaging 3.090 NA from Dec 2007 to 2016, with 5 observations. The data reached an all-time high of 3.276 NA in 2016 and a record low of 2.310 NA in 2012. SD: Logistics Performance Index: 1=Low To 5=High: Frequency with which Shipments Reach Consignee within Scheduled or Expected Time data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.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 assessed how often the shipments to assessed markets reach the consignee within the scheduled or expected delivery time, on a rating ranging from 1 (hardly ever) to 5 (nearly always). 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;
| Last | Frequency | Range |
|---|---|---|
| 3.28 2016 | yearly | 2007 - 2016 |
View Sudan's Sudan SD: Logistics Performance Index: 1=Low To 5=High: Frequency with which Shipments Reach Consignee within Scheduled or Expected Time from 2007 to 2016 in the chart:
Sudan SD: Logistics Performance Index: 1=Low To 5=High: Overall
SD: Logistics Performance Index: 1=Low To 5=High: Overall data was reported at 2.530 NA in 2016. This records an increase from the previous number of 2.161 NA for 2014. SD: Logistics Performance Index: 1=Low To 5=High: Overall data is updated yearly, averaging 2.210 NA from Dec 2007 to 2016, with 5 observations. The data reached an all-time high of 2.710 NA in 2007 and a record low of 2.100 NA in 2012. SD: 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 Sudan – Table SD.World Bank: Transportation. Logistics Performance Index overall score reflects perceptions of a country's logistics based on 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 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. 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 in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010).; ; 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;
| Last | Frequency | Range |
|---|---|---|
| 2.53 2016 | yearly | 2007 - 2016 |
View Sudan's Sudan SD: Logistics Performance Index: 1=Low To 5=High: Overall from 2007 to 2016 in the chart:
Sudan SD: Logistics Performance Index: 1=Low To 5=High: Quality of Trade and Transport-Related Infrastructure
SD: Logistics Performance Index: 1=Low To 5=High: Quality of Trade and Transport-Related Infrastructure data was reported at 2.202 NA in 2016. This records an increase from the previous number of 1.898 NA for 2014. SD: Logistics Performance Index: 1=Low To 5=High: Quality of Trade and Transport-Related Infrastructure data is updated yearly, averaging 2.010 NA from Dec 2007 to 2016, with 5 observations. The data reached an all-time high of 2.360 NA in 2007 and a record low of 1.780 NA in 2010. SD: 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 Sudan – Table SD.World Bank: 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 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.; ; 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;
| Last | Frequency | Range |
|---|---|---|
| 2.20 2016 | yearly | 2007 - 2016 |
View Sudan's Sudan SD: Logistics Performance Index: 1=Low To 5=High: Quality of Trade and Transport-Related Infrastructure from 2007 to 2016 in the chart:
Sudan SD: Pump Price for Diesel Fuel: USD per Liter
SD: Pump Price for Diesel Fuel: USD per Liter data was reported at 0.610 USD in 2016. This records an increase from the previous number of 0.550 USD for 2014. SD: Pump Price for Diesel Fuel: USD per Liter data is updated yearly, averaging 0.420 USD from Dec 1991 to 2016, with 13 observations. The data reached an all-time high of 0.610 USD in 2016 and a record low of 0.060 USD in 1991. SD: Pump Price for Diesel Fuel: USD per Liter data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Transportation. Fuel prices refer to the pump prices of the most widely sold grade of diesel fuel. Prices have been converted from the local currency to U.S. dollars.; ; German Agency for International Cooperation (GIZ).; Median;
| Last | Frequency | Range |
|---|---|---|
| 0.61 2016 | yearly | 1991 - 2016 |
View Sudan's Sudan SD: Pump Price for Diesel Fuel: USD per Liter from 1991 to 2016 in the chart:
Sudan SD: Pump Price for Gasoline: USD per Liter
SD: Pump Price for Gasoline: USD per Liter data was reported at 0.950 USD in 2016. This records an increase from the previous number of 0.820 USD for 2014. SD: Pump Price for Gasoline: USD per Liter data is updated yearly, averaging 0.580 USD from Dec 1991 to 2016, with 13 observations. The data reached an all-time high of 0.950 USD in 2016 and a record low of 0.070 USD in 1991. SD: Pump Price for Gasoline: USD per Liter data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Transportation. Fuel prices refer to the pump prices of the most widely sold grade of gasoline. Prices have been converted from the local currency to U.S. dollars.; ; German Agency for International Cooperation (GIZ).; Median;
| Last | Frequency | Range |
|---|---|---|
| 0.95 2016 | yearly | 1991 - 2016 |
View Sudan's Sudan SD: Pump Price for Gasoline: USD per Liter from 1991 to 2016 in the chart:
Sudan SD: Rail Lines: Total Route-Km
SD: Rail Lines: Total Route-Km data was reported at 4,313.000 km in 2014. This stayed constant from the previous number of 4,313.000 km for 2013. SD: Rail Lines: Total Route-Km data is updated yearly, averaging 4,774.000 km from Dec 1980 to 2014, with 24 observations. The data reached an all-time high of 5,478.000 km in 2007 and a record low of 4,313.000 km in 2014. SD: Rail Lines: Total Route-Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Transportation. Rail lines are the length of railway route available for train service, irrespective of the number of parallel tracks.; ; Internation Union of Railways (UIC); Sum; Aggregates are based on gap-filled data.
| Last | Frequency | Range |
|---|---|---|
| 4,313.00 2014 | yearly | 1980 - 2014 |
View Sudan's Sudan SD: Rail Lines: Total Route-Km from 1980 to 2014 in the chart:
Sudan SD: Railways: Goods Transported
SD: Railways: Goods Transported data was reported at 879.000 Ton-km mn in 2013. This records an increase from the previous number of 770.000 Ton-km mn for 2012. SD: Railways: Goods Transported data is updated yearly, averaging 884.000 Ton-km mn from Dec 1980 to 2013, with 22 observations. The data reached an all-time high of 1,970.000 Ton-km mn in 1980 and a record low of 646.000 Ton-km mn in 1991. SD: Railways: Goods Transported data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Transportation. Goods transported by railway are the volume of goods transported by railway, measured in metric tons times kilometers traveled.; ; Internation Union of Railways (UIC); Median;
| Last | Frequency | Range |
|---|---|---|
| 879.00 2013 | yearly | 1980 - 2013 |
View Sudan's Sudan SD: Railways: Goods Transported from 1980 to 2013 in the chart:
Sudan SD: Railways: Passengers Carried
SD: Railways: Passengers Carried data was reported at 81.500 Person-km mn in 2014. This records an increase from the previous number of 7.200 Person-km mn for 2013. SD: Railways: Passengers Carried data is updated yearly, averaging 120.000 Person-km mn from Dec 1980 to 2014, with 23 observations. The data reached an all-time high of 1,200.000 Person-km mn in 1982 and a record low of 7.200 Person-km mn in 2013. SD: Railways: Passengers Carried data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank.WDI: Transportation. Passengers carried by railway are the number of passengers transported by rail times kilometers traveled.; ; Internation Union of Railways (UIC); Median;
| Last | Frequency | Range |
|---|---|---|
| 81.50 2014 | yearly | 1980 - 2014 |