Logistics performance index: Overall (1=low to 5=high) - Country Ranking

Definition: 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).

Source: 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

See also: Thematic map, Time series comparison

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Rank Country Value Year
1 Germany 4.20 2018
2 Sweden 4.05 2018
3 Belgium 4.04 2018
4 Japan 4.03 2018
4 Austria 4.03 2018
6 Netherlands 4.02 2018
7 Singapore 4.00 2018
8 United Kingdom 3.99 2018
8 Denmark 3.99 2018
10 Finland 3.97 2018
11 United Arab Emirates 3.96 2018
12 Hong Kong SAR, China 3.92 2018
13 Switzerland 3.90 2018
14 United States 3.89 2018
15 New Zealand 3.88 2018
16 France 3.84 2018
17 Spain 3.83 2018
18 Australia 3.75 2018
19 Italy 3.74 2018
20 Canada 3.73 2018
21 Norway 3.70 2018
22 Czech Republic 3.68 2018
23 Portugal 3.64 2018
24 Luxembourg 3.63 2018
25 Korea 3.61 2018
25 China 3.61 2018
27 Poland 3.54 2018
28 Ireland 3.51 2018
29 Qatar 3.47 2018
30 Hungary 3.42 2018
31 Thailand 3.41 2018
32 South Africa 3.38 2018
33 Chile 3.32 2018
34 Israel 3.31 2018
34 Estonia 3.31 2018
34 Slovenia 3.31 2018
37 Panama 3.28 2018
38 Vietnam 3.27 2018
39 Iceland 3.23 2018
40 Malaysia 3.22 2018
41 Oman 3.20 2018
41 Greece 3.20 2018
43 India 3.18 2018
44 Cyprus 3.15 2018
44 Turkey 3.15 2018
44 Indonesia 3.15 2018
47 Romania 3.12 2018
48 Croatia 3.10 2018
49 Côte d'Ivoire 3.08 2018
50 Mexico 3.05 2018
51 Botswana 3.05 2016
52 Bulgaria 3.03 2018
52 Slovak Republic 3.03 2018
54 Lithuania 3.02 2018
55 Saudi Arabia 3.01 2018
56 Tanzania 2.99 2016
57 Brazil 2.99 2018
58 Rwanda 2.97 2018
59 Colombia 2.94 2018
60 Bahrain 2.93 2018
61 Philippines 2.90 2018
62 Argentina 2.89 2018
63 Ecuador 2.88 2018
64 Kuwait 2.86 2018
65 Iran 2.85 2018
66 Serbia 2.84 2018
67 Ukraine 2.83 2018
68 Egypt 2.82 2018
69 Bosnia and Herzegovina 2.81 2018
69 Kenya 2.81 2018
69 Malta 2.81 2018
69 Kazakhstan 2.81 2018
69 Latvia 2.81 2018
74 Costa Rica 2.79 2018
75 Paraguay 2.78 2018
76 Russia 2.76 2018
77 Benin 2.75 2018
77 Montenegro 2.75 2018
79 Namibia 2.74 2016
80 Mauritius 2.73 2018
81 Lebanon 2.72 2018
82 Brunei 2.71 2018
83 Lao PDR 2.70 2018
83 North Macedonia 2.70 2018
85 Peru 2.69 2018
85 Jordan 2.69 2018
85 Uruguay 2.69 2018
88 Mozambique 2.68 2016
89 Dominican Republic 2.66 2018
89 Albania 2.66 2018
91 São Tomé and Principe 2.65 2018
92 Djibouti 2.63 2018
93 Burkina Faso 2.62 2018
94 Armenia 2.61 2018
95 Sri Lanka 2.60 2018
95 Cameroon 2.60 2018
95 Honduras 2.60 2018
98 Malawi 2.59 2018
98 Mali 2.59 2018
100 Bangladesh 2.58 2018
100 Uzbekistan 2.58 2018
100 Cambodia 2.58 2018
100 El Salvador 2.58 2018
100 Uganda 2.58 2018
105 Tunisia 2.57 2018
105 Solomon Islands 2.57 2018
105 Ghana 2.57 2018
105 Belarus 2.57 2018
109 Comoros 2.56 2018
110 Kyrgyz Republic 2.55 2018
111 Morocco 2.54 2018
112 Nicaragua 2.53 2016
113 Zambia 2.53 2018
113 Nigeria 2.53 2018
113 The Bahamas 2.53 2018
116 Jamaica 2.52 2018
117 Nepal 2.51 2018
118 Congo 2.49 2018
119 Moldova 2.46 2018
120 Algeria 2.45 2018
120 Togo 2.45 2018
122 Azerbaijan 2.45 2014
123 Georgia 2.44 2018
124 Sudan 2.43 2018
124 Dem. Rep. Congo 2.43 2018
126 Pakistan 2.42 2018
126 Chad 2.42 2018
126 Trinidad and Tobago 2.42 2018
129 Guatemala 2.41 2018
129 Turkmenistan 2.41 2018
131 The Gambia 2.40 2018
132 Guinea-Bissau 2.39 2018
132 Madagascar 2.39 2018
134 Ethiopia 2.38 2016
135 Mongolia 2.37 2018
136 Guyana 2.36 2018
136 Bolivia 2.36 2018
138 Fiji 2.35 2018
139 Tajikistan 2.34 2018
140 Mauritania 2.33 2018
141 Equatorial Guinea 2.32 2018
142 Myanmar 2.30 2018
142 Syrian Arab Republic 2.30 2018
144 Lesotho 2.28 2018
145 Yemen 2.27 2018
146 Senegal 2.25 2018
147 Liberia 2.23 2018
147 Venezuela 2.23 2018
149 Somalia 2.21 2018
150 Guinea 2.20 2018
150 Cuba 2.20 2018
152 Iraq 2.18 2018
153 Bhutan 2.17 2018
153 Papua New Guinea 2.17 2018
155 Gabon 2.16 2018
156 Central African Republic 2.15 2018
157 Zimbabwe 2.12 2018
158 Libya 2.11 2018
158 Haiti 2.11 2018
160 Eritrea 2.09 2018
161 Sierra Leone 2.08 2018
162 Niger 2.07 2018
163 Burundi 2.06 2018
164 Angola 2.05 2018
165 Afghanistan 1.95 2018
166 Timor-Leste 1.71 2007

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Development Relevance: The LPI measures on-the-ground trade logistics performance, helping national leaders, key policymakers, and private sector traders understand the challenges they and their trading partners face in reducing logistical barriers to international commerce. As the backbone of international trade, logistics encompasses freight transportation, warehousing, border clearance, payment systems, and many other functions. These functions are performed mostly by private service providers for private traders and owners of goods, but logistics is also important for the public policies of national governments and regional and international organizations. Because global supply chains are so varied and complex, the efficiency of logistics depends on government services, investments, and policies. Building infrastructure, developing a regulatory regime for transport services, and designing and implementing efficient customs clearance procedures are all areas where governments play an important role. The improvements in global logistics over the past two decades have been driven by innovation and a great increase in global trade. While policies and investments that enable good logistics practices help modernize the best-performing countries, logistics still lags in many developing countries. Indeed, the "logistics gap" evident in the first two editions of this report remains. The tremendous importance of logistics performance for economic growth, diversification, and poverty reduction has long been widely recognized. National governments can facilitate trade through investments in both "hard" and "soft" infrastructure. Countries have improved their logistics performance by implementing strategic and sustained interventions, mobilizing actors across traditional sector silos, and involving the private sector. Logistics is also increasingly important for sustainability. A focus on the environmental impacts of logistics practices was recently included in the LPI.

Limitations and Exceptions: The Logistics Performance Index is an interactive benchmarking tool created to help countries identify the challenges and opportunities they face in their performance on trade logistics and what they can do to improve their performance. Feedback from operators is supplemented with quantitative data on the performance of key components of the logistics chain in the country of work. Thus, the LPI consists of both qualitative and quantitative measures. In addition, despite being the most comprehensive data source for country logistics and trade facilitation, the LPI has two important limitations. First, the experience of international freight forwarders might not represent the broader logistics environment in poor countries, which often rely on traditional operators. And the international and traditional operators might differ in their interactions with government agencies - and in their service levels. Second, for landlocked countries and small-island states, the LPI might reflect access problems outside the country assessed, such as transit difficulties. The low rating of a landlocked country might not adequately reflect its trade facilitation efforts, which depend on the workings of complex international transit systems. Landlocked countries cannot eliminate transit inefficiencies with domestic reforms.

Statistical Concept and Methodology: The indicator presents data from Logistics Performance Surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. The Logistics Performance Index (LPI) uses a structured online survey of logistics professionals at multinational freight forwarders and at the main express carriers. The 2012 LPI data are based on the 2011 survey, which was administered to nearly 1,000 respondents at international logistics companies in 143 countries (domestic performance indicators). The international LPI covers 155 countries. The LPI assesses both large companies and small and medium enterprises. Most of the responses are from small and medium enterprises, with large companies (those with 250 employees or more) accounting for roughly 18 percent of responses. The respondents include groups of professionals who are directly involved in day-today operations, from company headquarters and from country offices such as senior executives, area or country managers, and department managers. Many of the respondents are at corporate or regional headquarters or at country branch offices. The rest are at local branch offices or independent firms. The majority of respondents are involved in providing most logistics services as their main line of work such as warehousing and distribution, customer-tailored logistics solutions, courier services, bulk or break bulk cargo transport, and less-than-full container, full-container, or full-trailer load transport. Each survey respondent rates eight overseas markets on six core components of logistics performance (the efficiency of customs and border management clearance, the quality of trade and transport infrastructure, the ease of arranging competitively priced shipments, the competence and quality of logistics services, the ability to track and trace consignments, and the frequency shipments reach consignees within scheduled or expected delivery times). The components are rated on a scale (lowest score to highest score) from 1 to 5. The eight countries are chosen based on the most important export and import markets of the country where the respondent is located, on random selection, and - for landlocked countries - on neighboring countries that form part of the land bridge connecting them with international markets. The method used to select the group of countries rated by each respondent varies by the characteristics of the country where the respondent is located. If respondents did not provide information for all six components, interpolation is used to fill in missing values. The missing values are replaced with the country mean response for each question, adjusted by the respondent's average deviation from the country mean in the answered questions. The LPI is constructed from the six indicators using principal component analysis (PCA), a standard statistical technique used to reduce the dimensionality of a dataset. In the LPI, the inputs for PCA are country scores on questions 10-15, averaged across all respondents providing data on a given overseas market. Scores are normalized by subtracting the sample mean and dividing by the standard deviation before conducting PCA. The output from PCA is a single indicator - the LPI - that is a weighted average of those scores. The weights are chosen to maximize the percentage of variation in the LPI's original six indicators. To construct the international LPI, normalized scores for each of the six original indicators are multiplied by their component loadings and then summed. The component loadings represent the weight given to each original indicator in constructing the international LPI. Since the loadings are similar for all six, the international LPI is close to a simple average of the indicators. To account for the sampling error created by the LPI's survey-based dataset, LPI scores are presented with approximate 80 percent confidence intervals.

Aggregation method: Unweighted average

Periodicity: Annual