FACTOID # 8: Train spotters should go to Australia - Australians have more railway per capita than anyone else on the globe.
 
 Home   Encyclopedia   Statistics   Countries A-Z   Flags   Maps   Education   Forum   FAQ   About 
 
 
 

NEW VISUALISATIONS

Notify me when new visualisations appear on NationMaster.


TOP STATS
Which countries have the most:
More Top Stats »
WHAT'S NEW
RECENT UPDATES
More Recent Updates »
 

SEARCH ALL

FACTS & STATISTICS    Advanced view

Search encyclopedia, statistics and forums:

 

 

(* = Graphable)

 

 


Transportation Statistics > Liner shipping connectivity index > maximum value in 2004 = 100 (most recent) by country

VIEW DATA:   Totals  
Definition     Source      Printable version   
    Bar Graph   Map  

Showing latest available data. Select another time period:
Rank   Countries  Amount  Date  
# 1     China: 132.47   2009 Time series
# 2     Singapore: 99.47   2009 Time series
# 3     Netherlands: 88.66   2009 Time series
# 4     United Kingdom: 84.82   2009 Time series
# 5     Germany: 84.3   2009 Time series
# 6     Belgium: 82.8   2009 Time series
# 7     United States: 82.43   2009 Time series
# 8     Malaysia: 81.21   2009 Time series
# 9     Spain: 70.22   2009 Time series
# 10     Italy: 69.97   2009 Time series
# 11     France: 67.01   2009 Time series
# 12     Japan: 66.33   2009 Time series
# 13     United Arab Emirates: 60.45   2009 Time series
# 14     Saudi Arabia: 47.3   2009 Time series
# 15     Oman: 45.32   2009 Time series
# 16     Greece: 41.91   2009 Time series
# 17     Canada: 41.34   2009 Time series
# 18     India: 40.97   2009 Time series
# 19     Morocco: 38.4   2009 Time series
# 20     Malta: 37.71   2009 Time series
# 21     Thailand: 36.78   2009 Time series
# 22     Sri Lanka: 34.74   2009 Time series
# 23     Portugal: 32.97   2009 Time series
# 24     Panama: 32.66   2009 Time series
# 25     South Africa: 32.07   2009 Time series
# 26     Turkey: 31.98   2009 Time series
# 27     Mexico: 31.89   2009 Time series
# 28     Sweden: 31.34   2009 Time series
# 29     Brazil: 31.08   2009 Time series
# 30     Lebanon: 29.55   2009 Time series
# 31     Australia: 28.8   2009 Time series
# 32     Denmark: 27.68   2009 Time series
# 33     Pakistan: 26.58   2009 Time series
# 34     Vietnam: 26.39   2009 Time series
# 35     Argentina: 25.99   2009 Time series
# 36     Indonesia: 25.68   2009 Time series
# 37     Jordan: 23.71   2009 Time series
# 38     Romania: 23.34   2009 Time series
# 39     Colombia: 23.18   2009 Time series
# 40     Ukraine: 22.81   2009 Time series
# 41     Uruguay: 22.28   2009 Time series
# 42     Dominican Republic: 21.61   2009 Time series
# 43     Russia: 20.64   2009 Time series
# 44     Venezuela: 20.43   2009 Time series
# 45     Nigeria: 19.89   2009 Time series
# 46     Slovenia: 19.81   2009 Time series
# 47     Jamaica: 19.56   2009 Time series
# 48     Côte d'Ivoire: 19.39   2009 Time series
# 49     Ghana: 19.33   2009 Time series
# 50     Bahamas, The: 19.26   2009 Time series
# 51     Chile: 18.84   2009 Time series
# 52     Israel: 18.65   2009 Time series
# 53     Djibouti: 17.98   2009 Time series
# 54     Ecuador: 17.09   2009 Time series
# 55     Peru: 16.96   2009 Time series
# 56     Philippines: 15.9   2009 Time series
# 57     Trinidad and Tobago: 15.88   2009 Time series
# 58     Senegal: 14.96   2009 Time series
# 59     Mauritius: 14.76   2009 Time series
# 60     Guatemala: 14.73   2009 Time series
# 61     Costa Rica: 14.61   2009 Time series
# 62     Togo: 14.42   2009 Time series
# 63     Namibia: 13.61   2009 Time series
# 64     Benin: 13.52   2009 Time series
# 65     Cyprus: 13.31   2009 Time series
# 66     Kenya: 12.83   2009 Time series
# 67     Cameroon: 11.6   2009 Time series
# 68     Congo, Republic of the: 11.37   2009 Time series
# 69     Syria: 11.03   2009 Time series
# 70     Puerto Rico: 10.92   2009 Time series
# 71     Honduras: 10.68   2009 Time series
# 72     New Zealand: 10.59   2009 Time series
# 73     Nicaragua: 10.58   2009 Time series
# 74     El Salvador: 10.34   2009 Time series
# 75     Finland: 10.15   2009 Time series
# 76     Tanzania: 9.54   2009 Time series
# 77     Libya: 9.43   2009 Time series
# 78     Mozambique: 9.38   2009 Time series
# 79     Sudan: 9.28   2009 Time series
# 80     Poland: 9.21   2009 Time series
# 81     Gabon: 9.16   2009 Time series
= 82     New Caledonia: 8.74   2009 Time series
= 82     Fiji: 8.74   2009 Time series
# 84     Madagascar: 8.64   2009 Time series
= 85     Netherlands Antilles: 8.57   2009 Time series
= 85     Guam: 8.57   2009 Time series
# 87     Croatia: 8.48   2009 Time series
# 88     French Polynesia: 8.39   2009 Time series
# 89     Algeria: 8.37   2009 Time series
# 90     Guinea: 8.32   2009 Time series
# 91     Lithuania: 8.11   2009 Time series
# 92     Bahrain: 8.04   2009 Time series
# 93     Norway: 7.93   2009 Time series
# 94     Bangladesh: 7.91   2009 Time series
# 95     Ireland: 7.6   2009 Time series
# 96     Gambia, The: 7.53   2009 Time series
# 97     Mauritania: 7.5   2009 Time series
# 98     Papua New Guinea: 6.58   2009 Time series
# 99     Kuwait: 6.54   2009 Time series
# 100     Tunisia: 6.52   2009 Time series
# 101     Cuba: 5.92   2009 Time series
# 102     Bulgaria: 5.78   2009 Time series
# 103     Estonia: 5.71   2009 Time series
# 104     Sierra Leone: 5.56   2009 Time series
# 105     Liberia: 5.49   2009 Time series
# 106     Maldives: 5.43   2009 Time series
# 107     Latvia: 5.18   2009 Time series
# 108     Cape Verde: 5.13   2009 Time series
# 109     Iraq: 5.11   2009 Time series
# 110     Comoros: 5   2009 Time series
# 111     Seychelles: 4.9   2009 Time series
# 112     Barbados: 4.75   2009 Time series
# 113     Iceland: 4.73   2009 Time series
# 114     Cambodia: 4.67   2009 Time series
# 115     Samoa: 4.62   2009 Time series
# 116     American Samoa: 4.6   2009 Time series
# 117     Haiti: 4.4   2009 Time series
# 118     Guyana: 4.34   2009 Time series
# 119     Saint Lucia: 4.25   2009 Time series
# 120     Vanuatu: 4.22   2009 Time series
# 121     Faroe Islands: 4.2   2009 Time series
# 122     Suriname: 4.16   2009 Time series
= 123     Grenada: 4.13   2009 Time series
= 123     Saint Vincent and the Grenadines: 4.13   2009 Time series
# 125     Tonga: 3.99   2009 Time series
# 126     Solomon Islands: 3.96   2009 Time series
# 127     Brunei: 3.94   2009 Time series
# 128     Georgia: 3.83   2009 Time series
# 129     Congo, Democratic Republic of the: 3.8   2009 Time series
= 130     Palau: 3.79   2009 Time series
= 130     Burma: 3.79   2009 Time series
# 132     Northern Mariana Islands: 3.76   2009 Time series
# 133     Equatorial Guinea: 3.73   2009 Time series
# 134     Virgin Islands: 3.7   2009 Time series
# 135     Guinea-Bissau: 3.54   2009 Time series
# 136     Aruba: 3.52   2009 Time series
# 137     Eritrea: 3.26   2009 Time series
# 138     Saint Kitts and Nevis: 3.08   2009 Time series
= 139     Kiribati: 2.85   2009 Time series
= 139     Marshall Islands: 2.85   2009 Time series
# 141     Somalia: 2.82   2009 Time series
# 142     Switzerland: 2.74   2009 Time series
# 143     Dominica: 2.73   2009 Time series
# 144     Antigua and Barbuda: 2.66   2009 Time series
# 145     São Tomé and Príncipe: 2.38   2009 Time series
= 146     Belize: 2.3   2009 Time series
= 146     Albania: 2.3   2009 Time series
# 148     Greenland: 2.27   2009 Time series
# 149     Qatar: 2.1   2009 Time series
# 150     Cayman Islands: 1.76   2009 Time series
# 151     Bermuda: 1.57   2009 Time series
# 152     Czech Republic: 0.44   2009 Time series
# 153     Paraguay: 0   2009 Time series
Weighted average: 18.9  


DEFINITION: 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."

SOURCE: United Nations Conference on Trade and Development, Transport Newsletter, No. 43.

See also

See this stat for year: 2009 2008 2007 2006 2005 2004

Related links:
 

Compare countries:

Country 1:
Country 2:
Category:

CITATION

"Liner shipping connectivity index > maximum value in 2004 = 100 by country", United Nations Conference on Trade and Development, Transport Newsletter, No. 43.. Retrieved from http://www.NationMaster.com/graph/tra_lin_shi_con_ind_max_val_in_2004_100-index-maximum-value-2004-100

Change citation style: APA MLA MHRA CSE AMA Chicago Bluebook Bluebook/JOLT
TOP TRANSPORTATION STATS
 

COMMENTARY     


Share your thoughts, questions and commentary here
Your name
Your comments

Want to know more?
Search encyclopedia, statistics and forums:
 


Lesson Plans | Student Area | Student FAQ | Reviews | Press Releases |  Feeds | Contact
© Copyright NationMaster.com 2003-2013. All Rights Reserved. Usage implies agreement with terms, 1022, m