which because of unavailability of data in the Region, are included not in the calculations for the Regional Innovation Scoreboard for the Southern and Eastern Region are
The data for the Southern and Eastern Region is not available for these indicators; therefore the data for the South East Region is also, most likely, not available.
However, having numbers, or â€oechasing numbers†is one thing but it is a fruitless exercise
Multiple data sources indicate that European conditions are far from ideal for entrepreneurs and fast-growing
the findings in the report have benefitted from data gathered from over 60 structured interviews and eight interactive
hypotheses, the Forum partnered with Research+Data Insights, Junior Achievement-Young Enterprise (JA -YE) Europe,
while data is hard to come by, in recent years the European venture capital segment has seen a number of notable
long-term data indicate Today, non-European investors recognize Europe†s strong development. Take digital as an example.
and evaluating data with a clearly defined process Google Ventures uses algorithms with data from academic literature or from due diligences
As summarized in The New york times: â€oeis it better to invest in someone who started a
be a layer of data, not only on the initiatives themselves but on the interests, needs, preferences and locations of
on the data Partner to realize mutually beneficial relationships. All parties concerned must prepare to open up further from a
-owned data intelligently can also help in this respect the strategy initiated in countries like the United
governments offer access to their data on traffic criminality or available services, for example) and â€oeopengov†(in which collaborating with local citizens
of their data, generate collective value out of them and feel more comfortable about trusting their own
Data and business analytics to improve the quality and delivery of their public services can also be an
drawn on survey data, structured interviews, workshops and expert contributions to present four key ideas elucidated in
Central and Eastern europe (no EVCA data available on Turkey: Bulgaria Croatia, Czech republic, Estonia, Hungary, Latvia, Lithuania, Macedonia, Moldova, Poland, Romania, Slovakia, Slovenia;
Research+Data Insights, a Hill+Knowlton Strategies company David Iannelli, President Amber Ott, Senior Account Supervisor
Full Data Edition  2014 World Economic Forum The Global Competitiveness Report 2014†2015: Full
Data Edition is published by the World Economic Forum within the framework of The Global Competitiveness and
statistical data are maintained on a separate and independent basis World Economic Forum Geneva Copyright  2014
The Report and an interactive data platform are available at www. weforum. org/gcr  2014 World Economic Forum
Data Presentation 97 2. 1 Country/Economy Profiles 99 How to Read the Country/Economy Profiles...
2. 2 Data Tables 393 How to Read the Data Tables...395 Index of Data Tables...
397 Data Tables...399 Technical Notes and Sources 537 About the Authors 547 Contents  2014 World Economic Forum
 2014 World Economic Forum The Global Competitiveness Report 2014†2015 v The World Economic Forum†s Global Competitiveness
and Benchmarking Network is pleased to acknowledge and thank the following organizations as its valued Partner Institutes, without which the realization of
as well as an extensive section of data tables with global rankings covering over 100 indicators. This Report is one
Survey, which provides the foundation data of this Report as well as imparting the results of the Report
comparable data on wages are not available for all countries covered. The thresholds used are shown also
DATA SOURCES To measure these concepts, the GCI uses statistical data such as enrollment rates, government debt, budget
deficit, and life expectancy. These data are obtained from internationally recognized agencies, notably the United nations Educational, Scientific and Cultural
Organization (UNESCO), the International Monetary Fund (IMF), and the World health organization (WHO The descriptions and data sources of all these statistical
variables are summarized in the Technical Notes and Sources at the end of this Report. Furthermore, the GCI uses data from the World Economic Forum†s
annual Executive Opinion Survey (the Survey) to capture concepts that require a more qualitative assessment
or for which internationally comparable statistical data are not available for the entire set of economies.
Survey process and the statistical treatment of data are described in detail in Chapter 1. 3 of this Report
edition, because of data availability issues, we could not include Benin, Bosnia and herzegovina, Brunei Darussalam, Ecuador, or Liberia.
) Our data also point to improvements in health and primary education, thanks to a higher primary
the data used in our assessment were collected before the most recent developments†including the military
and due to the fact that data on tertiary enrollment are no longer available. At the same time, the country†s
high rates of communicable diseases, although the data point to an improvement this year. However, to move
data suggest a steady improvement across a range of indicators, albeit from low levels. Senegal also benefits
The data used cover the years 2009 through 2013. Further information on these data can be
found at http://legacy. intracen. org/appli1/Tradecom/Documents /Tradecompmap-Trade%20performance%20index-Technical%20
data 23 We have retained the geographical classifications used in past editions of the Report while changing the groupings in the country
data, and use the IMF classifications 24 IMF 2014a 25 World bank 2014 26 Overall, the agricultural sector in GDP remains high at 25
11,2014, is reflected not in the EOS data this year, but might affect the country†s performance in this pillar in the following year
Available at http://data. worldbank. org/products/wdi World Economic Forum. 2009. The India Competitiveness Review 2009
-adjusted data, one can estimate Equation (1) for the 1990†2012 period. The coefficient of the natural
Available at http://data. worldbank. org/products/wdi  2014 World Economic Forum The Global Competitiveness Report 2014†2015 49
of the indicator matches the numbering of the data tables. The number preceding the period indicates to
To combine these data we first take the ratio of each country†s disease incidence rate relative to
Data are normalized then on a 1-to-7 scale. PPP estimates of imports and exports are obtained by taking the product of exports as a
The underlying data are reported in the data tables section (see Tables 10.03,6. 14, and 10.04
l The size of the foreign market is estimated as the natural log of the total value (PPP estimates) of exports of goods and services
The underlying data are reported in the data tables  2014 World Economic Forum  2014 World Economic Forum
The Global Competitiveness Report 2014†2015 53 CHAPTER 1. 2 Assessing Progress toward Sustainable Competitiveness
data centers†that significantly reduce energy demand The relationship between environmental sustainability and competitiveness is multifaceted and
-quality, internationally comparable data that would allow countries to fully understand how they fare in
and availability of key data on social and environmental sustainability, countries will continue to face challenges
The lack of data also renders far-reaching quantitative analysis of the topic impossible and makes it difficult to identify channels of influence and assign
Better data would enable countries to make better decisions in their attempt to identify and implement appropriate policies and measures to
The lack of data is a challenge that is shared by all the frameworks described above as well as by our
incorporate but could not because of the lack of data include access to decent housing and food security
data More generally, the measures captured here and presented in the environmental sustainability pillar are
Although the data in this area are among the most difficult to collect and interpret it is crucial for a country to manage these resources
year by updating a number of indicators because data became available or because improved measurement
country coverage is driven again by data availability: we are able to cover 113 economies this year, a subset of
The country does not report data related to youth unemployment or vulnerable employment; these indicators cannot therefore be assessed.
the issue at hand and important gaps in data, it must be remembered that this is a work in progress and that
country, based on 2012 Households Budget Survey data. In 2012 the relative poverty incidence was equal to 12.7 percent, whereas
the Data say? †Journal of Economic growth 8 (2003: 267†99 Barbier, E. 1997. â€oeenvironmental Kuznets Curve Special Issue
Deininger, K. and L. Squire. 1996. â€oea New Data Set Measuring Income Inequality. †World bank Economic Review 10 (3:
Available at http://www. euro. who. int/data/assets /pdf file/0014/251213/Floods-in-the-Balkans,-Situation-Report-no
by the statistical distribution of the data, so as to ensure that the final data are skewed not.
In the absence of empirical evidence, the selection of the impact limits 0. 8†1. 2) relies on the best judgment of the authors
The data in this Report represent the best available estimates from various national authorities, international agencies, and private sources at the time the Report
It is possible that some data will have been revised or updated by the sources after publication
not available or that the available data are unreasonably outdated or do not come from a reliable source
of Executive Opinion Survey data, the full question and associated answers. If necessary, additional information
available at http://apps. who. int/gho/data/node. main. 606? lang=en retrieved June 27, 2014
available at http://apps. who. int/gho/data/node. main. 606? lang=en retrieved June 27, 2014
overlaying the protected area mask on terrestrial biome data from Olson et al. 2001) for each country.
wri. org/resources/data-sets/aqueduct-country-and-river-basin -rankings S15 Wastewater treatment Percentage of wastewater that receives treatment weighted by
data and reports;(2) values derived from the Organisation of Economic Co-operation and Development (OECD) †s variable
ratio of these statistics in order to spread the data distribution Source: World bank, World Development Indicators database
http://data. worldbank. org (retrieved June 20, 2014 S17 Fish stocks overexploited Fraction of the country†s exclusive economic zone with
spread the data distribution Source: Yale Center for Environmental law & Policy (YCELP) and the Center for International Earth science Information Network
that was parameterized by data on aerosol optical depth (AOD from NASA€ s MODIS, Seawifs, MISR satellite instruments, and
were calculated using population data from the Global Rural Urban Mapping Project (2011) database. For additional details
broad range of topics for which data sources are scarce or, frequently, nonexistent on a global scale.
than hard data can provide. Thus it is an indispensable complement to the sources of data made available by
international organizations and national statistical offices The indicators derived from the Survey are used in the calculation of the Global Competitiveness Index
A truly unique source of data, the Survey has also long been used by a number of international
data for the elaboration of their Corruption Perceptions Index and the Bribe Payers Index. Institutions such
Forum†s Survey data in their publications, as do a number of academic publications. Finally, an increasing
or refer to the Survey data THE SURVEY IN NUMBERS The 2014 edition of the Survey captured the opinions of
because of data issues out of the 148 economies surveyed, 144 are included in the GCI this year (please see the data treatment
section below for further details. Figureâ 1 presents some key descriptive statistics. The Survey is available
*Following data treatment. See text for details †Based on purchasing power parity estimates  2014 World Economic Forum
of data quality concerns (see â€oetrend analysis and exceptions†below for more detail. The Forum†s Global
All statistics were computed following the edition of the data. See text for details Survey edition (s) used for the computation of economy scores:
data. The report was finalized in November 1979. The Forum†s work on competitiveness and its various indexes
has therefore been including a mix of proprietary survey data and statistics from international organizations since its very
-weight the data using vignettes because of the limited effectiveness of such a procedure and to prevent
introducing additional noise into the data that occurs with such an approach In the context of the GCI revision (see Chapter 1. 1
processes to achieve greater data accuracy and heightened comparability across economies DATA TREATMENT AND SCORE COMPUTATION
This section details the process whereby individual responses are edited and aggregated in order to produce the scores of each economy on each individual
Data editing Prior to aggregation, the respondent-level data are subjected to a thorough editing process.
A first series of tests is run to identify and exclude those surveys whose patterns of answers demonstrate a lack of sufficient
data using the Mahalanobis distance method. This test estimates the probability that an individual survey in a
improves the comparability of data across years 0 20 40 60 80 100 Sub-saharan africa Middle east, North africa
and first quarter of 2014 better aligns the Survey data with many of the data indicators from sources other than
the Survey, which are often year-average data To calculate the moving average, we use a weighting
scheme composed of two overlapping elements. On one hand, we want to give each response an equal weight
the reliability and consistency of the Survey data over  2014 World Economic Forum 1. 3:
analyses, the 2014 Survey data collected in Bosnia and Herzegovina, Ecuador, and Rwanda deviate significantly
of Rwanda, we use only the 2013 Survey data in the computation of the Survey scores (see the Exceptions
reliability of the Survey data in this country Last year, the same analysis resulted in the Survey
data of four countries†Bosnia and herzegovina, Jordan Oman, and United Arab Emirates†being dismissed This year, as an intermediate step toward the re
used a weighted average of the Survey data of 2012 and 2014 for these countries, with the exception of Bosnia
the data, with the aim of reinstating both countries in the near future CONCLUSION Since 1979, the World Economic Forum has been
conducting a survey to gather perception data for its research on competitiveness. Over the years, the
information on a broad range of variables for which data sources are scarce or nonexistent.
no past data exist, the weight applied to the 2013 score is wc 2013=0 and the weight applied to the 2014 score is wc
for which the 2013 data were discarded, we use the Survey data from 2012 instead, and combine them with those of 2014 to
compute the scores. Equation (1) then becomes qi, c 2012†2014=wc 2012 ï¿qi, c
and to one decimal place in the data tables, exact figures are used in all calculations
based on searches in company directories and data gathered through the administration of the Survey in past years
Data Presentation  2014 World Economic Forum  2014 World Economic Forum 2. 1 Country/Economy Profiles
all data in the Key indicators†section are sourced from the April 2014 edition of the International monetary fund
Data for Puerto rico are sourced from Puerto Rico†s national statistics •The chart on the upper right-hand side displays
period for which data are available) for the economy under review (blue line. The gray line plots the
information regarding the classification and the data visit www. imf. org/weo. Data for Puerto rico are not
available Percent of responses GDP (PPP) per capita (int†l $), 1990†2013 Rank Score out of 144)( 1†7
For further analysis, the data tables in the following section of the Report provide ranks, values, and the
ONLINE DATA PORTAL In addition to the analysis presented in this Report an interactive data platform can be accessed via
www. weforum. org/gcr. The platform offers a number of analytical and visualization tools, including sortable
the option of downloading portions of the GCI data set NOTE 1 The IMF refers to this region as â€oemiddle East, North africa
Data Tables  2014 World Economic Forum  2014 World Economic Forum 2. 2: Data Tables
The Global Competitiveness Report 2014†2015 395 EXECUTIVE OPINION SURVEY INDICATORS In the tables, indicators derived from the World
How to Read the Data Tables The following pages provide detailed data for all 144
economies included in The Global Competitiveness Report 2014†2015. The data tables are organized into 13 sections
Key indicators Pillar 1: Institutions Pillar 2: Infrastructure Pillar 3: Macroeconomic environment Pillar 4: Health and primary education
Data Tables 406 The Global Competitiveness Report 2014†2015  2014 World Economic Forum 2. 2:
Data Tables 396 The Global Competitiveness Report 2014†2015 OTHER INDICATORS Indicators not derived from the Survey are presented
, the period when a majority of the data was collected) follows the description. When the year differs
data are not available or are outdated too, n/a is used in lieu of the rank and the value
Because of the nature of data, ties between two or more economies are possible. In such cases, shared
ONLINE DATA PORTAL In addition to the analysis presented in this Report an interactive data platform can be accessed via
www. weforum. org/gcr. The platform offers a number of analytical and visualization tools, including sortable
the option of downloading portions of the GCI data set RANK COUNTRY/ECONOMY VALUE 1 United states...
Data Tables 400 The Global Competitiveness Report 2014†2015  2014 World Economic Forum 2. 2:
Data Tables The Global Competitiveness Report 2014†2015 397 Index of Data Tables Key indicators...
399 0. 01 Gross domestic product...400 0. 02 Population...401 0. 03 GDP per capita...402 0. 04 GDP as a share of world GDP...
Data Tables 398 The Global Competitiveness Report 2014†2015 Pillar 10: Market size...513 10.01 Domestic market size index...
Data Tables  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 United states...16,799. 7
Data Tables 400 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 401  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables 402 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 403  2014 World Economic Forum  2014 World Economic Forum
Data Tables  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 2 7
Data Tables 406 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 8 7
Data Tables The Global Competitiveness Report 2014†2015 407  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 5 7
Data Tables 408 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 1 7
Data Tables The Global Competitiveness Report 2014†2015 409  2014 World Economic Forum 1. 05 Irregular payments and bribes
Data Tables 410 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 9 7
Data Tables The Global Competitiveness Report 2014†2015 411  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 2 7
Data Tables 412 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 2 7
Data Tables The Global Competitiveness Report 2014†2015 413  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 4 7
Data Tables 414 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 8 7
Data Tables The Global Competitiveness Report 2014†2015 415  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 4 7
Data Tables 416 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 0 7
Data Tables The Global Competitiveness Report 2014†2015 417  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 5. 1 7
Data Tables 418 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 4 7
Data Tables The Global Competitiveness Report 2014†2015 419  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 8 7
Data Tables 420 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 2 7
Data Tables The Global Competitiveness Report 2014†2015 421  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 2 7
Data Tables 422 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 6 7
Data Tables The Global Competitiveness Report 2014†2015 423  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 6 7
Data Tables 424 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 1 7
Data Tables The Global Competitiveness Report 2014†2015 425  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables 426 The Global Competitiveness Report 2014†2015  2014 World Economic Forum Pillar 2
Data Tables  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 2 7
Data Tables 428 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 0 7
Data Tables The Global Competitiveness Report 2014†2015 429  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 3 7
Data Tables 430 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 1 7
Data Tables The Global Competitiveness Report 2014†2015 431  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 4 7
Data Tables 432 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 433  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 5 7
Data Tables 434 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 435  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables 436 The Global Competitiveness Report 2014†2015  2014 World Economic Forum Pillar 3
Data Tables  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 Timor-Leste...36.1
Data Tables 438 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 439  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables 440 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 441  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables 442 The Global Competitiveness Report 2014†2015  2014 World Economic Forum Pillar 4
Data Tables  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 Egypt...0. 0
Data Tables 444 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 7 7
Data Tables The Global Competitiveness Report 2014†2015 445  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables 446 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 5. 4 7
Data Tables The Global Competitiveness Report 2014†2015 447  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables 448 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 5. 3 7
Data Tables The Global Competitiveness Report 2014†2015 449  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables 450 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 451  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 9 7
Data Tables 452 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 453  2014 World Economic Forum  2014 World Economic Forum
Data Tables  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 Australia...135.5 2 Spain...
Data Tables 456 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 457  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 7 7
Data Tables 458 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 0 7
Data Tables The Global Competitiveness Report 2014†2015 459  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 2 7
Data Tables 460 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 3 7
Data Tables The Global Competitiveness Report 2014†2015 461  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 2 7
Data Tables 462 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 0 7
Data Tables The Global Competitiveness Report 2014†2015 463  2014 World Economic Forum  2014 World Economic Forum
Data Tables  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 5. 0 7
Data Tables 466 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 8 7
Data Tables The Global Competitiveness Report 2014†2015 467  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 1 7
Data Tables 468 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 8 7
Data Tables The Global Competitiveness Report 2014†2015 469  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables 470 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 471  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables 472 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 8 7
Data Tables The Global Competitiveness Report 2014†2015 473  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 3 7
Data Tables 474 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
International Trade Centre, Trade Competitiveness Map data 1 2006 2 2007 3 2008 4 2009 5 2010 6 2011 7 2012 8 2014
Data Tables The Global Competitiveness Report 2014†2015 475  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 5 7
Data Tables 476 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 3 7
Data Tables The Global Competitiveness Report 2014†2015 477  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 1 7
Data Tables 478 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 479  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 5 7
Data Tables 480 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 4 7
Data Tables The Global Competitiveness Report 2014†2015 481  2014 World Economic Forum  2014 World Economic Forum
Data Tables  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 4 7
Data Tables 484 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 9 7
Data Tables The Global Competitiveness Report 2014†2015 485  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 8 7
Data Tables 486 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 487  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 7 7
Data Tables 488 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 9 7
Data Tables The Global Competitiveness Report 2014†2015 489  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 2 7
Data Tables 490 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 5 7
Data Tables The Global Competitiveness Report 2014†2015 491  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 5 7
Data Tables 492 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 493  2014 World Economic Forum  2014 World Economic Forum
Data Tables  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 5 7
Data Tables 496 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 2 7
Data Tables The Global Competitiveness Report 2014†2015 497  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 4 7
Data Tables 498 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 2. 9 7
Data Tables The Global Competitiveness Report 2014†2015 499  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 2. 8 7
Data Tables 500 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 8 7
Data Tables The Global Competitiveness Report 2014†2015 501  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 1 7
Data Tables 502 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 503  2014 World Economic Forum  2014 World Economic Forum
Data Tables  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 8 7
Data Tables 506 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 7 7
Data Tables The Global Competitiveness Report 2014†2015 507  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 5 7
Data Tables 508 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 509  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables 510 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 511  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables 512 The Global Competitiveness Report 2014†2015  2014 World Economic Forum Pillar 10
Data Tables  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 United states...7. 0
Data Tables 514 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 515  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables 516 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables The Global Competitiveness Report 2014†2015 517  2014 World Economic Forum  2014 World Economic Forum
Data Tables  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 5 7
Data Tables 520 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 4 7
Data Tables The Global Competitiveness Report 2014†2015 521  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 8 7
Data Tables 522 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 7 7
Data Tables The Global Competitiveness Report 2014†2015 523  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 9 7
Data Tables 524 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 0 7
Data Tables The Global Competitiveness Report 2014†2015 525  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 0 7
Data Tables 526 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 2 7
Data Tables The Global Competitiveness Report 2014†2015 527  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 8 7
Data Tables 528 The Global Competitiveness Report 2014†2015  2014 World Economic Forum Pillar 12
Data Tables  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 9 7
Data Tables 530 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 8 7
Data Tables The Global Competitiveness Report 2014†2015 531  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 3 7
Data Tables 532 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 7 7
Data Tables The Global Competitiveness Report 2014†2015 533  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 3. 5 7
Data Tables 534 The Global Competitiveness Report 2014†2015  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE 1 MEAN 4. 0 7
Data Tables The Global Competitiveness Report 2014†2015 535  2014 World Economic Forum RANK COUNTRY/ECONOMY VALUE
Data Tables 536 The Global Competitiveness Report 2014†2015  2014 World Economic Forum The Global Competitiveness Report 2014†2015 537
This section complements the Data Tables by providing additional information for all indicators used in the
possible that some data will have been updated or revised after publication Key indicators 0. 01 Gross domestic product
via data cards or USB modems. Subscriptions to public mobile data services, private trunked mobile radio, telepoint or radio
paging, and telemetry services are excluded also. It includes all mobile cellular subscriptions that offer voice communications
2012 data Source: International Trade Centre, Trade Competitiveness Map Data 6. 11 Prevalence of foreign ownership
In your country, how prevalent is foreign ownership of companies? 1=extremely rare; 7=highly prevalent 2013†14
Data are based on surveys generally carried out by national statistical offices or estimated based on the number of Internet
Data are normalized then on a 1†7 scale. PPP estimates of imports and exports are obtained by taking the product of
absence of reliable data on PCT applications for Taiwan (China and Hong kong SAR, two advanced economies that are not
and on the analysis of data for the elaboration of various reports. His areas of expertise include international trade
The data used in the Report are obtained from leading international sources as well as from the World Economic Forum†s annual
as well as an extensive section of data tables displaying relative rankings for more than 100 variables The Report and an interactive data platform are available at www. weforum. org/gcr
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