17-Mar-2021 with us. We also hope to empower our peers in their pursuit of carbon neutrality and engage investors in our pursuit.
08-Jul-2019 60 per cent of its trade involves exchanges among GVCs. ... US$ billion. Annual percentage change %. 782. 158. 135. 123.
123. 180. 122. El Salvador. 911. England. 112 999. Equatorial Guinea local numbers only. Eritrea local numbers only. Estonia.
A. International migration and inequality among countries The share of income going to the richest 1 per cent of the global population.
and put us back on track towards the Several species of trees with richly-hued hardwoods suitable for furniture ... the same trafficking group to move.
123 Mauritania. 150. 0. 150. 124 Mauritius. 10500 202 USA. 1280000. 3180000. 4460000. 203 Uruguay. 570. 30. 600. 204 Uzbekistan ... 207 Vietnam. 5000.
social shifts that often don't go under the umbrella of ideology but Will the Us be able to work with new partners to reinvent the international system?
We invite business and governments to join the Platform for the New Economy and Society to collabo- rate with us and with each other to hasten progress on this.
https://www.govinfo.gov/content/pkg/CHRG-92shrg83605/pdf/CHRG-92shrg83605.pdf
02-Mar-2021 evolution of gender-based gaps among four key ... East Asia and the Pacific two in North America
48_4WEF_GGGR_2020.pdf
Global Gender Gap
Report 2020
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may be reproduced, stored in a retrieval sys - tem, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise without the prior permission of the
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ISBN-13: 978-2-940631-03-2The Report and an interactive data platform are available at http:// reports.weforum.org/global-gender-gap-report-2020/dataexplorer.
The analysis presented in the
Global Gender Gap Report
2020
(herein: "Report") is based on a methodology integrating the latest statistics from international organizations and a survey of executives. The findings, interpretations and conclusions expressed in this work do not necessarily reflect the views of the World Economic Forum. The Report presents information and data that were compiled and/or collected by the World Economic Forum (all information and data referred herein as "Data"). Data in this Report is subject to change without notice. The terms country and nation as used in this Report do not in all cases refer to a territorial entity that is a state as understood by international law and practice. The terms cover well- defined, geographically self-contained economic areas that may not be states but for which statistical data are maintained on a separate and independent basis. Although the World Economic Forum takes every reasonable step to ensure that the Data thus compiled and/or collected is accurately reflected in this Report, the World Economic Forum, its agents, officers and employees: (i) provide the Data "as is, as available" and without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose and non-infringement; (ii) make no representations, express or implied, as to the accuracy of the Data contained in this Report or its suitability for any particular purpose; (iii) accept
no liability for any use of the said Data or reliance placed on it, in particular, for any interpretation, decisions, or actions based on the Data in this Report. Other parties may have ownership interests in some of the Data contained in this Report. The World Economic Forum in no way represents or warrants that it owns or controls all rights in all Data, and the World Economic Forum will not be liable to users for any claims brought against users by third parties in connection with their use of any Data. The World Economic Forum, its agents, officers and employees do not endorse or in any respect warrant any third-party products or services by virtue of any Data, material or content referred to or included in this Report. Users shall not infringe upon the integrity of the Data and in particular shall refrain from any act of alteration of the Data that intentionally affects its nature or accuracy. If the Data is materially transformed by the user, this must be stated explicitly along with the required source citation. For Data compiled by parties other than the World Economic Forum, users must refer to these parties' terms of use, in particular concerning the attribution, distribution, and reproduction of the Data. When Data for which the World Economic Forum is the source (herein "World Economic Forum"), is distributed or reproduced, it must appear accurately and be attributed to the World Economic Forum. This source attribution requirement is attached to any use of Data, whether obtained directly from the World Economic Forum or from a user. Users who make World Economic Forum Data available to other users through any type of distribution or download environment agree to make reasonable efforts to communicate and promote compliance by their end users with these terms. Users who intend to sell World Economic Forum Data as part of a database or as a stand-alone product must first obtain the permission from the World Economic Forum (CNES@weforum.org).
椟 W W W W W b b b b
Preface
W
Klaus Schwab
1. 2. 3.
Key Findings
4. 5. 椟 6. 7. 8. 9. 10. 11.
Country Coverage, 2020
Global Gender Gap Report
The Global Gender Gap
Index 2020
Figure 1
The Global Gender Gap
Index framework
Educational Attainment
Political Empowerment
Health and Survival
Global Results
CHAPTER 1
Notes "-" indicates score or rank is unchanged from the previous year. "n/a" indicates that the country was not covered in previous editions. * New countries in 2020
Eastern Europe
and Central AsiaMiddle Eastand North AfricaEast Asia and the PacificLatin America and the CaribbeanNorth AmericaSouth AsiaSub-SaharanAfricaWestern Europe
RankCountryScoreRank change Score change
0-1201820182006
1Iceland0.877-+0.018+0.095
2Norway0.842-+0.007+0.043
3Finland0.8321+0.012+0.036
4Sweden0.820-1-0.002+0.007
5Nicaragua0.804--0.005+0.147
6New Zealand0.7991-0.002+0.048
7Ireland0.7982+0.002+0.065
8Spain0.79521+0.049+0.063
9Rwanda0.791-3-0.013n/a
10Germany0.7874+0.011+0.034
11Latvia0.7856+0.027+0.076
12Namibia0.784-2-0.005+0.098
13Costa Rica0.7829+0.033+0.089
14Denmark0.782-1+0.004+0.036
15France0.781-3+0.002+0.129
16Philippines0.781-8-0.018+0.029
17South Africa0.7802+0.025+0.068
18Switzerland0.7792+0.024+0.079
19Canada0.772-3+0.001+0.055
20Albania0.76914+0.035+0.108
21United Kingdom0.767-6-0.007+0.031
22Colombia0.75818+0.029+0.053
23Moldova0.75712+0.023+0.044
24Trinidad and Tobago*0.756n/an/a+0.076
25Mexico0.75425+0.034+0.108
26Estonia0.7517+0.017+0.057
27Belgium0.7505+0.012+0.042
28Barbados0.749-7-0.004n/a
29Belarus0.746-1-n/a
30Argentina0.7466+0.014+0.063
31Cuba0.746-8-0.004n/a
32Burundi0.745-1+0.004n/a
33Lithuania0.745-9-0.005+0.037
34Austria0.74419+0.026+0.046
35Portugal0.7442+0.011+0.052
36Slovenia0.743-25-0.041+0.069
37Uruguay0.73719+0.023+0.082
38Netherlands0.736-11-0.010+0.012
39Serbia0.736-1+0.006n/a
40Poland0.7362+0.008+0.056
41Jamaica0.7353+0.012+0.034
42Bolivia0.734-17-0.014+0.101
43Lao PDR0.731-17-0.017n/a
44Australia0.731-5+0.001+0.015
45Zambia*0.731n/an/a+0.095
46Panama0.730-1+0.008+0.037
47Zimbabwe0.730-+0.009+0.084
48Ecuador0.729-7-+0.085
49Bulgaria0.727-31-0.029+0.040
50Bangladesh0.726-2+0.004+0.099
51Luxembourg0.72510+0.013+0.058
52Cape Verde0.72520+0.023n/a
53United States0.724-2+0.004+0.020
54Singapore0.72413+0.017+0.069
55Romania0.7248+0.013+0.044
56Mozambique0.723-7+0.003n/a
57Chile0.723-3+0.006+0.077
58Honduras0.72210+0.016+0.074
59Ukraine0.7216+0.013+0.042
60Croatia0.720-1+0.008+0.006
61Bahamas0.720-31-0.021n/a
62Madagascar0.71922+0.027+0.080
63Slovak Republic0.71820+0.026+0.043
64Israel0.718-18-0.004+0.029
65Uganda0.717-22-0.008+0.037
66