View source for Finance:Global Gender Gap Report

{{short description|Index designed to measure gender equality}}
[[Image:Gender Gap Report 2008 cover.jpg|thumb|200px|Cover of the 2008 report]]

The '''Global Gender Gap Report''' is an [[Index (statistics)|index]] designed to [[Measures of gender equality|measure gender equality]]. It was first published in 2006 by the [[Organization:World Economic Forum|World Economic Forum]].<ref>{{Cite news|url=http://reports.weforum.org/global-gender-gap-report-2017/?doing_wp_cron=1526073649.7157220840454101562500|title=Global Gender Gap Report 2017|access-date=2018-05-11|language=en-US|archive-date=2018-05-12|archive-url=https://web.archive.org/web/20180512044451/http://reports.weforum.org/global-gender-gap-report-2017/?doing_wp_cron=1526073649.7157220840454101562500|url-status=dead}}</ref>

It "assesses countries on how well they are dividing their resources and opportunities among their male and female populations, regardless of the overall levels of these resources and opportunities," the Report says.<ref name="auto">2008 Report, p. 24</ref> "By providing a comprehensible framework for assessing and comparing global gender gaps and by revealing those countries that are role models in dividing these resources equitably between women and men, the Report serves as a catalyst for greater awareness as well as greater exchange between policymakers."<ref name="auto"/>

According to the World Economic Forum's Global Gender Gap Report 2023, it will take exactly 131 years for the gender gap to close.<ref>{{Cite web |title=Global Gender Gap Report 2023 |url=https://www.weforum.org/reports/global-gender-gap-report-2023/digest/ |access-date=2023-08-17 |website=World Economic Forum |language=en}}</ref><ref>{{Cite web |title=To fight climate change, more female leaders are fundamental |url=https://www.eib.org/en/stories/female-leaders-climate |access-date=2023-08-17 |website=European Investment Bank |language=en}}</ref>

== Methodology ==
The report's Gender Gap Index ranks countries according to calculated gender gap between women and men in four key areas: health, education, economy and politics to gauge the state of [[Social:Gender equality|gender equality]] in a country.

The report examines four overall areas of inequality between men and women in 130 economies around the globe, over 93% of the world's population:
* Economic participation and opportunity – outcomes on salaries, participation levels and access to high-skilled employment
* Educational attainment – outcomes on access to basic and [[Social:Higher education|higher-level education]]
* Political [[Social:Empowerment|empowerment]] – outcomes on representation in decision-making structures
* Health and survival – outcomes on life expectancy and sex ratio.  In this case parity is not assumed, there are assumed to be fewer female births than male (944 female for every 1,000 males), and men are assumed to die younger.  Provided that women live at least six percent longer than men, parity is assumed. But if it is less than six percent it counts as a gender gap.<ref>2014 report, page 5</ref>

Thirteen out of the fourteen variables used to create the index are from publicly available "hard data" indicators from international organizations, such as the International Labour Organization, the [[Organization:United Nations Development Programme|United Nations Development Programme]] and the [[Organization:World Health Organization|World Health Organization]].<ref>2008 Report, p. 5</ref>

== Upper limiting value of the Gender Gap Index ==
{| style="text-align:center; border-collapse:collapse"
|- style="text-align:left"
! colspan="4" | 1. Economic participation and opportunity
|- style="background-color:#E6e6Fa"
! style="text-align:left" width="200" | &nbsp;ratio !! width="100" style="text-align:center"| limit<ref name="Construction_of_the_Index">[http://www3.weforum.org/docs/WEF_GGGR_2018.pdf The Global Gender Gap Report 2018] (GGGR), p. 5, Construction of the Index, § 2. Data truncation at equality benchmark: As a second step, these ratios are truncated at the "equality benchmark”. For all indicators, except the two health indicators, this equality benchmark is considered to be 1, meaning equal numbers of women and men.<br /> GGGR 2018, p. 42, Country Score Card: … To calculate the Index, all ratios were truncated at the parity benchmark of 1 and thus the highest score possible is 1.</ref> !! width="100" style="text-align:center" | weight<ref name="Calculation_of_weights">GGGR 2018, p. 6; Table 2: Calculation of weights within each subin-dex</ref> !! width="80" style="text-align:center" | value
|- style="background-color:#F8F9FA"
| style="text-align:left" | * Labour force participation || 1.0 || 0.199 || 0.199
|- style="background-color:#F8F9FA"
| style="text-align:left" | * Wage equality for similar work || 1.0 || 0.310 || 0.310
|- style="background-color:#F8F9FA"
| style="text-align:left" | * Estimated earned income || 1.0 || 0.221 || 0.221
|- style="background-color:#F8F9FA"
| style="text-align:left" | * Legislators, senior officials and managers || 1.0 || 0.149 || 0.149
|- style="background-color:#F8F9FA"
| style="text-align:left" | * Professional and technical workers || 1.0 || style="border-bottom: 1pt black solid"| 0.121 || style="border-bottom: 1pt black solid"| 0.121
|- 
| &nbsp; || sum || 1.0 ||style="background-color:#FFEBAD; font-weight:bold" | 1.0
|- 
! colspan="4" style="text-align:left" | 2. Educational attainment
|- style="background-color:#E6e6Fa"
! style="text-align:left" width="300" | &nbsp;ratio !! width="100" style="text-align:center"| limit<ref name="Construction_of_the_Index" /> !! width="100" style="text-align:center" | weight<ref name="Calculation_of_weights" /> !! width="100" style="text-align:center" | value
|- style="background-color:#F8F9FA"
| style="text-align:left" | * Literacy rate || 1.0 || 0.191 || 0.191
|- style="background-color:#F8F9FA"
| style="text-align:left" | * Enrolment in primary education || 1.0 || 0.459 || 0.459
|- style="background-color:#F8F9FA"
| style="text-align:left" | * Enrolment in secondary education || 1.0 || 0.229 || 0.229
|- style="background-color:#F8F9FA"
| style="text-align:left" | * Enrolment in tertiary education || 1.0 || style="border-bottom: 1pt black solid"| 0.121 || style="border-bottom: 1pt black solid"| 0.121
|- 
| &nbsp; || sum || 1.0 ||style="background-color:#FFEBAD; font-weight:bold" | 1.0
|- 
! colspan="4" style="text-align:left" | 3. Health and survival
|- style="background-color:#E6e6Fa"
! style="text-align:left"| &nbsp;ratio !! limit<ref name="Construction_of_the_Index" /> !! weight<ref name="Calculation_of_weights" /> !! value
|- style="background-color:#F8F9FA"
| style="text-align:left" | * Sex ratio at birth || style="color:#FF0000" | 0.944<ref>GGGR 2018, p. 5, Construction of the Index, § 2. Data truncation at equality benchmark: … In the case of sex ratio at birth, the equality benchmark is set at 0.944,<br /> GGGR 2018, p. 42, Country Score Card: … except for the sex ratio at birth (0.944)</ref> || 0.693 || 0.654
|- style="background-color:#F8F9FA"
| style="text-align:left" | * Healthy life expectancy || style="color:#FF0000" | 1.060<ref>GGGR 2018, p. 5, Construction of the Index, § 2. Data trun-cation at equality benchmark: … the case of healthy life expectancy the equality benchmark is set at 1.06.<br /> GGGR 2018, p. 42, Country Score Card: … and the healthy life expectancy (1.06) indicators.</ref> || style="border-bottom: 1pt black solid" | 0.307 || style="border-bottom: 1pt black solid"| 0.325
|- 
| &nbsp; || sum || 1.0 || style="background-color:#FFEBAD;font-weight:bold;color:#FF0000" | 0.980
|- 
! colspan="4" style="text-align:left" | 4. Political empowerment
|- style="background-color:#E6e6Fa"
! style="text-align:left"| &nbsp;ratio !! limit<ref name="Construction_of_the_Index" /> !! weight<ref name="Calculation_of_weights" /> !! value
|- style="background-color:#F8F9FA"
| style="text-align:left"| * Women in parliament || 1.0 || 0.310 || 0.310
|- style="background-color:#F8F9FA"
| style="text-align:left" | * Women in ministerial positions || 1.0 || 0.247 || 0.247
|- style="background-color:#F8F9FA"
| style="text-align:left"| * Years with female head of state || 1.0 || style="border-bottom: 1pt black solid"| 0.443 || style="border-bottom: 1pt black solid"| 0.443
|- 
| &nbsp; || sum || 1.0 ||style="background-color:#FFEBAD; font-weight:bold" | 1.0
|}

{| class="wikitable"
|- 
! colspan="2"style="text-align:left"| Compilation
|- 
|1. Economic participation and opportunity || style="text-align:center" | 1.000 
|- 
| 2. Educational attainment || style="text-align:center" |1.000 
|- 
| 3. Health and survival || style="text-align:center" |0.980
|- 
| 4. Political empowerment || style="border-bottom: 1pt black solid; text-align:center" |1.000 
|- 
|style="text-align:right" | sum &nbsp;|| style="background-color:#FFEBAD; font-weight:bold" | 3.980
|}
'''Gender Gap Index''': 3.98 / 4 = <span style="background:yellow"><u> 0.9949 </u> </span>

This is the upper limiting value of the Gender Gap Index (limes superior) for the ''female-to-male ratio'' and for the ''male-to-female ratio''.

==WEF Global Gender Gap Index rankings==
The highest possible score is 1.0 (equality or better for women, except for lifespan (106% or better for women) and gender parity at birth (94.4% or better for women<ref>2016 Report, Page 6</ref>) and the lowest possible score is 0.  Data for some countries are unavailable.<ref>http://www3.weforum.org/docs/WEF_GenderGap_Report_2012.pdf {{Bare URL PDF|date=March 2022}}</ref><ref name="ggr13">{{cite web|title=The Global Gender Gap Report 2013|url=http://www3.weforum.org/docs/WEF_GenderGap_Report_2013.pdf#page=20|publisher=World Economic Forum|pages=12–13}}</ref><ref>{{cite web|url=http://reports.weforum.org/global-gender-gap-report-2014/rankings/|title=Global Gender Gap Report 2014 - Reports - World Economic Forum|work=Global Gender Gap Report 2014}}</ref> The three highest-ranking countries have closed over 84% of their gender gaps, while the lowest-ranking country has closed only a little over 50% of its gender gap.
[[File:Global Gender Gap Report 2020.png|thumb|506x506px|Global Gender Gap Report 2020]]
{| class="wikitable sortable" 
! colspan=2 | Location 
! colspan="16" | Year <ref group=note>Years of report publication. Values may reflect data collected the previous year.</ref>
|- 
! Country 
! Region 
!2006
!2007
!2008
!2009
!2010
!2011
!2012
!2013
!2014
!2015<ref name="gggr2015">{{cite web | url=http://reports.weforum.org/global-gender-gap-report-2015/rankings/ | title=Global Gender Gap Report 2015 - Rankings | publisher=World Economic Forum | access-date=28 April 2016|archive-url=https://web.archive.org/web/20160417125436/http://reports.weforum.org/global-gender-gap-report-2015/rankings/|archive-date=17 April 2016|url-status=live}}</ref>
!2016<ref name="gap2016">{{cite web|url=http://time.com/5028384/gender-gap-united-states-world-economic-forum/|title=Global Gender Gap Report 2017 - Rankings|date=17 November 2017 |publisher=World Economic Forum|access-date=17 November 2017}}</ref>
!2017
!2018
!2020<ref name="GGGR2020">{{cite web|url=http://www3.weforum.org/docs/WEF_GGGR_2020.pdf|title=Global Gender Gap Report 2020|publisher=World Economic Forum|access-date=18 December 2019}}</ref>
!2021<ref name="GGGR2021">{{cite web|url=http://www3.weforum.org/docs/WEF_GGGR_2021.pdf|title=Global Gender Gap Report 2021|publisher=World Economic Forum|access-date=30 March 2021}}</ref>
!2022
|-
| {{flag|Afghanistan}} || South Asia || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A
|N/A
|N/A
|N/A
|0.444
|0.435
|-
| {{flag|Albania}} || Europe || 0.6607 || 0.6685 || 0.6591 || 0.6601 || 0.6726 || 0.6748 || 0.6655 || 0.6412 || 0.6869 || 0.701 || 0.704
|0.728
|0.734
|0.769
|0.770
|0.787
|-
| {{flag|Algeria}} || Africa || 0.6018 || 0.6068 || 0.6111 || 0.6119 || 0.6052 || 0.5991 || 0.6112 || 0.5966 || 0.6182 || 0.632 || 0.642
|0.629
|0.629
|0.634
|0.633
|0.602
|-
| {{flag|Angola}} || Africa || 0.6039 || 0.6034 || 0.6032 || 0.6353 || 0.6712 || 0.6624 || N/A || 0.6659 || 0.6311 || 0.637 || 0.643
|0.640
|0.633
|0.660
|0.657
|0.638
|-
| {{flag|Argentina}} || South America || 0.6829 || 0.6982 || 0.7209 || 0.7211 || 0.7187 || 0.7236 || 0.7212 || 0.7195 || 0.7317 || 0.734 || 0.735
|0.732
|0.733
|0.746
|0.752
|0.756
|-
| {{flag|Armenia}} || West Asia || N/A || 0.6651 || 0.6677 || 0.6619 || 0.6669 || 0.6654 || 0.6636 || 0.6634 || 0.6622 || 0.668 || 0.669
|0.677
|0.678
|0.684
|0.673
|0.698
|-
| {{flag|Australia}} || Oceania || 0.7163 || 0.7204 || 0.7241 || 0.7282 || 0.7271 || 0.7291 || 0.7294 || 0.7390 || 0.7409 || 0.733 || 0.721
|0.731
|0.730
|0.731
|0.731
|0.738
|-
| {{flag|Austria}} || Europe || 0.6986 || 0.7060 || 0.7153 || 0.7031 || 0.7091 || 0.7165 || 0.7391 || 0.7437 || 0.7266 || 0.733 || 0.716
|0.709
|0.718
|0.744
|0.777
|0.781
|-
| {{flag|Azerbaijan}} || West Asia || N/A || 0.6781 || 0.6856 || 0.6626 || 0.6446 || 0.6577 || 0.6546 || 0.6582 || 0.6753 || 0.675 || 0.684
|0.676
|0.680
|0.687
|0.688
|0.687
|-
| {{flag|Bahamas}} || Central America || N/A || N/A || N/A || 0.7179 || 0.7128 || 0.7340 || 0.7156 || 0.7128 || 0.7269 || 0.728 || 0.729
|0.743
|0.741
|0.720
|0.725
|N/A
|-
| {{flag|Bahrain}} || West Asia || 0.5894 || 0.5931 || 0.5927 || 0.6136 || 0.6217 || 0.6232 || 0.6298 || 0.6334 || 0.6261 || 0.644 || 0.615
|0.632
|0.627
|0.629
|0.632
|0.632
|-
| {{flag|Bangladesh}} || South Asia || 0.6270 || 0.6314 || 0.6531 || 0.6526 || 0.6702 || 0.6812 || 0.6684 || 0.6848 || 0.6973 || 0.704 || 0.698
|0.719
|0.721
|0.726
|0.719
|0.714
|-
| {{flag|Barbados}} || Central America || N/A || N/A || 0.7188 || 0.7236 || 0.7176 || 0.7170 || 0.7232 || 0.7301 || 0.7289 || 0.744 || 0.739
|0.750
|0.753
|0.749
|0.769
|0.765
|-
| {{flag|Belarus}} || Europe || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || 0.734 || 0.737
|0.744
|0.747
|0.746
|0.758
|0.750
|-
| {{flag|Belgium}} || Europe || 0.7078 || 0.7198 || 0.7163 || 0.7165 || 0.7509 || 0.7531 || 0.7652 || 0.7684 || 0.7809 || 0.753 || 0.745
|0.739
|0.738
|0.750
|0.789
|0.793
|-
| {{flag|Belize}} ||Central America || N/A || 0.6426 || 0.6610 || 0.6636 || 0.6536 || 0.6489 || 0.6465 || 0.6449 || 0.6701 || 0.668 || 0.676
|0.692
|0.662
|0.671
|0.699
|0.695
|-
| {{flag|Benin}} || Africa || 0.5780 || 0.5656 || 0.5582 || 0.5643 || 0.5719 || 0.5832 || 0.6258 || 0.5885 || N/A || 0.625 || 0.636
|0.652
|0.654
|0.658
|0.653
|0.612
|-
| {{flag|Bhutan}} || South Asia || N/A || N/A || N/A || N/A || N/A || N/A || N/A || 0.6651 || 0.6364 || 0.646 || 0.642
|0.638
|0.638
|0.635
|0.639
|0.637
|-
| {{flag|Bolivia}} || South America || 0.6335 || 0.6574 || 0.6667 || 0.6693 || 0.6751 || 0.6862 || 0.7222 || 0.7340 || 0.7049 || 0.749 || 0.746
|0.758
|0.748
|0.734
|0.722
|0.734
|-
| {{flag|Bosnia and Herzegovina}} || Europe || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A
|N/A
|N/A
|N/A
|0.713
|0.710
|-
| {{flag|Botswana}} || Africa || 0.6897 || 0.6797 || 0.6839 || 0.7071 || 0.6876 || 0.6832 || 0.6744 || 0.6752 || 0.7129 || 0.710 || 0.715
|0.720
|0.715
|0.709
|0.716
|0.719
|-
| {{flag|Brazil}} || South America || 0.6543 || 0.6637 || 0.6737 || 0.6695 || 0.6655 || 0.6679 || 0.6909 || 0.6949 || 0.6941 || 0.686 || 0.687
|0.684
|0.681
|0.691
|0.695
|0.696
|-
| {{flag|Brunei Darussalam}} || Southeast Asia || N/A || N/A || 0.6392 || 0.6524 || 0.6748 || 0.6787 || 0.6750 || 0.6730 || 0.6719 || 0.684 || 	0.669
|0.671
|0.686
|0.686
|0.678
|0.680
|-
| {{flag|Bulgaria}} || Europe || 0.6870 || 0.7085 || 0.7077 || 0.7072 || 0.6983 || 0.6987 || 0.7021 || 0.7097 || 0.7444 || 0.722 || 	0.726
|0.756
|0.756
|0.727
|0.746
|0.740
|-
| {{flag|Burkina Faso}} || Africa || 0.5854 || 0.5912 || 0.6029 || 0.6081 || 0.6162 || 0.6153 || 0.6455 || 0.6513 || 0.6500 || 0.651 || 	0.64
|0.646
|0.629
|0.635
|0.651
|0.659
|-
| {{flag|Burundi}} || Africa || N/A || N/A || N/A || N/A || N/A || 0.7270 || 0.7338 || 0.7397 || 0.7565 || 0.748 || 0.768
|0.755
|0.741
|0.745
|0.769
|0.777
|-
| {{flag|Cambodia}} || Southeast Asia || 0.6291 || 0.6353 || 0.6469 || 0.6410 || 0.6482 || 0.6464 || 0.6457 || 0.6509 || 0.6520 || 0.662 || 	0.658
|0.676
|0.683
|0.694
|0.685
|0.690
|-
| {{flag|Cameroon}} || Africa || 0.5865 || 0.5919 || 0.6017 || 0.6108 || 0.6110 || 0.6073 || 0.6291 || 0.6560 || N/A || 0.682 || 0.684
|0.689
|0.714
|0.686
|0.692
|0.692
|-
| {{flag|Canada}} || North America || 0.7165 || 0.7198 || 0.7136 || 0.7196 || 0.7372 || 0.7407 || 0.7381 || 0.7425 || 0.7464 || 0.740 || 0.731
|0.769
|0.771
|0.772
|0.772
|0.772
|-
| {{flag|Cape Verde}} || Africa || N/A || N/A || N/A || N/A || N/A || N/A || 0.7180 || 0.7122 || 0.7133 || 0.717 || 0.729
|0.686
|0.702
|0.725
|0.716
|0.736
|-
| {{flag|Chad}} || Africa || 0.5247 || 0.5381 || 0.5290 || 0.5417 || 0.5330 || 0.5334 || 0.5594 || 0.5588 || 0.5764 || 0.580 || 0.587
|0.575
|0.580
|0.596
|0.593
|0.579
|-
| {{flag|Chile}} || South America || 0.6455 || 0.6482 || 0.6818 || 0.6884 || 0.7013 || 0.7030 || 0.6676 || 0.6670 || 0.6975 || 0.698 || 0.699
|0.704
|0.717
|0.723
|0.716
|0.736
|-
| {{flag|China}} || East Asia || 0.6561 || 0.6643 || 0.6878 || 0.6907 || 0.6881 || 0.6866 || 0.6853 || 0.6908 || 0.6830 || 0.682 || 0.676
|0.674
|0.673
|0.676
|0.682
|0.682
|-
| {{flag|Colombia}} || South America || 0.7049 || 0.7090 || 0.6944 || 0.6939 || 0.6927 || 0.6714 || 0.6901 || 0.7171 || 0.7122 || 0.725 || 0.727
|0.731
|0.729
|0.758
|0.725
|0.710
|-
|{{Flag|Comoros}}
|Africa
|N/A
|N/A
|N/A
|N/A
|N/A
|N/A
|N/A
|N/A
|N/A
|N/A
|N/A
|N/A
|N/A
|N/A
|N/A
|0.631
|-
| {{flag|Costa Rica}} || Central America || 0.6936 || 0.7014 || 0.7111 || 0.7180 || 0.7194 || 0.7266 || 0.7225 || 0.7241 || 0.7165 || 0.732 || 0.736
|0.727
|0.749
|0.782
|0.786
|0.796
|-
| {{flag|Côte d'Ivoire}} || Africa || N/A || N/A || N/A || N/A || 0.5691 || 0.5773 || 0.5785 || 0.5814 || 0.5874 || 0.606 || 0.597
|0.611
|0.627
|0.606
|0.637
|0.632
|-
| {{flag|Croatia}} || Europe || 0.7145 || 0.7210 || 0.6967 || 0.6944 || 0.6939 || 0.7006 || 0.7053 || 0.7069 || 0.7075 || 0.708 || 0.7
|0.711
|0.712
|0.720
|0.733
|N/A
|-
| {{flag|Cuba}} || Central America|| N/A || 0.7169 || 0.7195 || 0.7176 || 0.7253 || 0.7394 || 0.7417 || 0.7540 || 0.7317 || 0.740 || 0.74
|0.745
|0.749
|0.746
|0.746
|N/A
|-
| {{flag|Cyprus}} || West Asia || 0.6430 || 0.6522 || 0.6694 || 0.6706 || 0.6642 || 0.6567 || 0.6732 || 0.6801 || 0.6741 || 0.671 || 0.684
|0.684
|0.684
|0.692
|0.707
|0.696
|-
| {{flag|Czech Republic}} || Europe || 0.6712 || 0.6718 || 0.6770 || 0.6789 || 0.6850 || 0.6789 || 0.6767 || 0.6770 || 0.6737 || 0.687 || 0.69
|0.688
|0.693
|0.706
|0.711
|0.710
|-
| {{flag|Democratic Republic of the Congo}} || Africa || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A
|N/A
|N/A
|N/A
|0.576
|0.575
|-
| {{flag|Denmark}} || Europe || 0.7462 || 0.7519 || 0.7538 || 0.7628 || 0.7719 || 0.7778 || 0.7777 || 0.7779 || 0.8025 || 0.767 || 0.754
|0.776
|0.778
|0.782
|0.768
|0.764
|-
| {{flag|Dominican Republic}} || Central America || 0.6639 || 0.6705 || 0.6744 || 0.6859 || 0.6774 || 0.6682 || 0.6659 || 0.6867 || 0.6906 || 0.686 || 0.676
|0.697
|0.701
|0.700
|0.699
|0.703
|-
| {{flag|Ecuador}} || South America || 0.6433 || 0.6881 || 0.7091 || 0.7220 || 0.7072 || 0.7035 || 0.7206 || 0.7389 || 0.7455 || 0.738 || 0.726
|0.724
|0.729
|0.729
|0.739
|0.743
|-
| {{flag|Egypt}} || Africa || 0.5786 || 0.5809 || 0.5832 || 0.5862 || 0.5899 || 0.5933 || 0.5975 || 0.5935 || 0.6064 || 0.599 || 0.614
|0.608
|0.614
|0.629
|0.639
|0.635
|-
| {{flag|El Salvador}} || Central America || 0.6837 || 0.6853 || 0.6875 || 0.6939 || 0.6596 || 0.6567 || 0.6630 || 0.6609 || 0.6863 || 0.706 || 0.702
|0.705
|0.690
|0.706
|0.738
|0.727
|-
| {{flag|Estonia}} || Europe || 0.6944 || 0.7008 || 0.7076 || 0.7094 || 0.7018 || 0.6983 || 0.6977 || 0.6997 || 0.7017 || 0.749 || 0.747
|0.731
|0.734
|0.751
|0.733
|0.733
|-
| {{flag|Eswatini}}|| Africa || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || 0.670 || 0.665
|0.670
|N/A
|N/A
|0.729
|0.728
|-
| {{flag|Ethiopia}} || Africa || 0.5946 || 0.5991 || 0.5867 || 0.5948 || 0.6019 || 0.6136 || 0.6200 || 0.6198 || 0.6144 || 0.640 || 0.662
|0.656
|0.656
|0.705
|0.691
|0.710
|-
| {{flag|Fiji}} || Oceania || N/A || N/A || N/A || 0.6414 || 0.6256 || 0.6255 || 0.6285 || 0.6286 || 0.6286 || 0.645 || N/A
|N/A
|0.669
|0.678
|0.674
|0.676
|-
| {{flag|Finland}} || Europe || 0.7958 || 0.8044 || 0.8195 || 0.8252 || 0.8260 || 0.8383 || 0.8451 || 0.8421 || 0.8453 || 0.850 || 0.845
|0.823
|0.821
|0.832
|0.861
|0.860
|-
| {{flag|France}} || Europe || 0.6520 || 0.6824 || 0.7341 || 0.7331 || 0.7025 || 0.7018 || 0.6984 || 0.7089 || 0.7588 || 0.761 || 0.755
|0.778
|0.779
|0.781
|0.784
|0.791
|-
| {{flag|Gambia, The}} || Africa || 0.6448 || 0.6421 || 0.6622 || 0.6752 || 0.6762 || 0.6763 || 0.6630 || N/A || N/A || 0.674 || 0.667
|0.649
|0.642
|0.628
|0.644
|0.641
|-
| {{flag|Georgia}} || West Asia || 0.6700 || 0.6665 || 0.6654 || 0.6680 || 0.6598 || 0.6624 || 0.6691 || 0.6750 || 0.6855 || 0.687 || 0.681
|0.679
|0.677
|0.708
|0.732
|0.731
|-
| {{flag|Germany}} || Europe || 0.7524 || 0.7618 || 0.7394 || 0.7449 || 0.7530 || 0.7590 || 0.7629 || 0.7583 || 0.7780 || 0.779 || 0.766
|0.778
|0.776
|0.787
|0.796
|0.801
|-
| {{flag|Ghana}} || Africa || 0.6653 || 0.6725 || 0.6679 || 0.6704 || 0.6782 || 0.6811 || 0.6778 || 0.6811 || 0.6661 || 0.704 || 0.705
|0.695
|0.688
|0.673
|0.666
|0.672
|-
| {{flag|Greece}} || Europe || 0.6540 || 0.6648 || 0.6727 || 0.6662 || 0.6908 || 0.6916 || 0.6716 || 0.6782 || 0.6784 || 0.685 || 0.68
|0.692
|0.696
|0.701
|0.689
|0.689
|-
| {{flag|Guatemala}} || Central America || 0.6067 || 0.6144 || 0.6072 || 0.6209 || 0.6238 || 0.6229 || 0.6260 || 0.6304 || 0.6821 || 0.667 || 0.666
|0.667
|0.668
|0.666
|0.655
|0.664
|-
| {{flag|Guinea}} || Africa || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || 0.618 || 0.64
|0.659
|0.656
|0.642
|0.660
|0.647
|-
| {{flag|Guyana}} || South America || N/A || N/A || N/A || 0.7108 || 0.7090 || 0.7084 || 0.7119 || 0.7085 || 0.7010 || 0.702 || N/A
|N/A
|N/A
|N/A
|0.728
|0.752
|-
| {{flag|Honduras}} || Central America || 0.6483 || 0.6661 || 0.6960 || 0.6893 || 0.6927 || 0.6945 || 0.6763 || 0.6773 || 0.6935 || 0.688 || 0.69
|0.711
|0.706
|0.722
|0.716
|0.705
|-
| {{flag|Hungary}} || Europe || 0.6698 || 0.6731 || 0.6867 || 0.6879 || 0.6720 || 0.6642 || 0.6718 || 0.6742 || 0.6759 || 0.672 || 0.669
|0.670
|0.674
|0.677
|0.688
|0.699
|-
| {{flag|Iceland}} || Europe || 0.7813 || 0.7836 || 0.7999 || 0.8276 || 0.8496 || 0.8530 || 0.8640 || 0.8731 || 0.8594 || 0.881 || 0.874
|0.878
|0.858
|0.877
|0.892
|0.908
|-
| {{flag|India}} || South Asia || 0.6011 || 0.5936 || 0.6060 || 0.6151 || 0.6155 || 0.6190 || 0.6442 || 0.6551 || 0.6455 || 0.664 || 0.683
|0.669
|0.665
|0.668
|0.625
|0.629
|-
| {{flag|Indonesia}} || Southeast Asia || 0.6541 || 0.6550 || 0.6473 || 0.6580 || 0.6615 || 0.6594 || 0.6591 || 0.6613 || 0.6725 || 0.681 || 0.682
|0.691
|0.691
|0.700
|0.688
|0.697
|-
| {{flag|Iran}} || West Asia || 0.5803 || 0.5903 || 0.6021 || 0.5839 || 0.5933 || 0.5894 || 0.5927 || 0.5842 || 0.5811 || 0.580 || 0.587
|0.583
|0.589
|0.584
|0.582
|0.576
|-
| {{flag|Iraq}} || West Asia || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A
|N/A
|N/A
|N/A
|0.535
|N/A
|-
| {{flag|Ireland}} || Europe || 0.7335 || 0.7457 || 0.7518 || 0.7597 || 0.7773 || 0.7830 || 0.7839 || 0.7823 || 0.7850 || 0.807 || 0.797
|0.794
|0.796
|0.798
|0.800
|0.804
|-
| {{flag|Israel}} || West Asia || 0.6889 || 0.6965 || 0.6900 || 0.7019 || 0.6957 || 0.6926 || 0.6989 || 0.7032 || 0.7005 || 0.712 || 	0.719
|0.721
|0.722
|0.718
|0.724
|0.727
|-
| {{flag|Italy}} || Europe || 0.6456 || 0.6498 || 0.6788 || 0.6798 || 0.6765 || 0.6796 || 0.6729 || 0.6885 || 0.6973 || 0.726 || 0.719
|0.692
|0.706
|0.707
|0.721
|0.720
|-
| {{flag|Jamaica}} || Central America || 0.7014 || 0.6925 || 0.6980 || 0.7013 || 0.7037 || 0.7028 || 0.7035 || 0.7085 || 0.7128 || 0.703 || 0.724
|0.717
|0.724
|0.735
|0.741
|0.749
|-
| {{flag|Japan}} || East Asia || 0.6447 || 0.6455 || 0.6434 || 0.6447 || 0.6524 || 0.6514 || 0.6530 || 0.6498 || 0.6584 || 0.670 || 0.66
|0.657
|0.662
|0.652
|0.656
|0.650
|-
| {{flag|Jordan}} || West Asia || 0.6109 || 0.6203 || 0.6275 || 0.6182 || 0.6048 || 0.6117 || 0.6103 || 0.6093 || 0.5968 || 0.593 || 0.603
|0.604
|0.605
|0.623
|0.683
|0.639
|-
| {{flag|Kazakhstan}} || Central Asia || 0.6928 || 0.6983 || 0.6976 || 0.7013 || 0.7055 || 0.7010 || 0.7213 || 0.7218 || 0.7210 || 0.719 || 0.718
|0.713
|0.712
|0.710
|0.710
|0.719
|-
| {{flag|Kenya}} || Africa || 0.6486 || 0.6508 || 0.6547 || 0.6512 || 0.6499 || 0.6493 || 0.6768 || 0.6803 || 0.7258 || 0.719 || 0.702
|0.694
|0.700
|0.671
|0.692
|0.729
|-
| {{flag|Korea, Rep.}} || East Asia || 0.6157 || 0.6409 || 0.6154 || 0.6146 || 0.6342 || 0.6281 || 0.6356 || 0.6351 || 0.6403 || 0.651 || 0.649
|0.650
|0.657
|0.672
|0.687
|0.689
|-
| {{flag|Kuwait}} || West Asia || 0.6341 || 0.6409 || 0.6358 || 0.6356 || 0.6318 || 0.6322 || 0.6320 || 0.6292 || 0.6457 || 0.646 || 0.624
|0.679
|0.630
|0.650
|0.621
|0.632
|-
| {{flag|Kyrgyz Republic}}  || Central Asia || 0.6742 || 0.6653 || 0.7045 || 0.7058 || 0.6973 || 0.7036 || 0.7013 || 0.6948 || 0.6974 || 0.693 || 0.687
|0.691
|0.691
|0.689
|0.681
|0.700
|-
| {{flag|Laos}} || Southeast Asia || N/A || N/A || N/A || N/A || N/A || N/A || N/A || 0.6993 || 0.7044 || 0.713 || N/A
|0.703
|0.748
|0.731
|0.750
|0.733
|-
| {{flag|Latvia}} || Europe || 0.7091 || 0.7333 || 0.7397 || 0.7416 || 0.7429 || 0.7399 || 0.7572 || 0.7610 || 0.7691 || 0.752 || 0.755
|0.756
|0.758
|0.785
|0.778
|0.771
|-
| {{flag|Lebanon}} || West Asia || N/A || N/A || N/A || N/A || 0.6084 || 0.6083 || 0.6030 || 0.6028 || 0.5923 || 0.598 || 0.598
|0.596
|0.595
|0.599
|0.638
|0.644
|-
| {{flag|Lesotho}} || Africa || 0.6807 || 0.7078 || 0.7320 || 0.7495 || 0.7678 || 0.7666 || 0.7608 || 0.7530 || 0.7255 || 0.706 || 0.706
|0.695
|0.693
|0.695
|0.698
|0.700
|-
| {{flag|Liberia}} || Africa || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || 0.652 || 0.652
|0.669
|0.681
|0.685
|0.693
|0.709
|-
| {{flag|Lithuania}} || Europe || 0.7077 || 0.7234 || 0.7222 || 0.7175 || 0.7132 || 0.7131 || 0.7191 || 0.7308 || 0.7208 || 0.740 || 0.744
|0.742
|0.749
|0.745
|0.804
|0.799
|-
| {{flag|Luxembourg}} || Europe || 0.6671 || 0.6786 || 0.6802 || 0.6889 || 0.7231 || 0.7216 || 0.7439 || 0.7410 || 0.7333 || 0.738 || 0.734
|0.706
|0.712
|0.725
|0.726
|0.736
|-
| {{flag|North Macedonia}}|| Europe || 0.6983 || 0.6967 || 0.6914 || 0.6950 || 0.6996 || 0.6966 || 0.6968 || 0.7013 || 0.6943 || 0.701 || 0.696
|0.702
|0.707
|0.711
|0.715
|0.716
|-
| {{flag|Madagascar}} || Africa || 0.6385 || 0.6461 || 0.6736 || 0.6732 || 0.6713 || 0.6797 || 0.6982 || 0.7016 || 0.7214 || 0.698 || 0.704
|0.692
|0.691
|0.719
|0.725
|0.735
|-
| {{flag|Malawi}} || Africa || 0.6437 || 0.6480 || 0.6664 || 0.6738 || 0.6824 || 0.6850 || 0.7166 || 0.7139 || 0.7281 || 0.701 || 0.7
|0.672
|0.662
|0.664
|0.671
|0.632
|-
| {{flag|Malaysia}} || Southeast Asia || 0.6509 || 0.6444 || 0.6442 || 0.6467 || 0.6479 || 0.6525 || 0.6539 || 0.6518 || 0.6520 || 0.655 || 0.666
|0.670
|0.676
|0.677
|0.676
|0.681
|-
| {{flag|Maldives}} || South Asia || N/A || 0.6350 || 0.6501 || 0.6482 || 0.6452 || 0.6480 || 0.6616 || 0.6604 || 0.6557 || 0.652 || .65
|0.669
|0.662
|0.646
|0.642
|0.648
|-
| {{flag|Mali}} || Africa || 0.5996 || 0.6019 || 0.6117 || 0.5860 || 0.5680 || 0.5752 || 0.5842 || 0.5872 || 0.5779 || 0.599 || 0.591
|0.583
|0.582
|0.621
|0.591
|0.601
|-
| {{flag|Malta}} || Europe || 0.6518 || 0.6615 || 0.6634 || 0.6635 || 0.6695 || 0.6658 || 0.6666 || 0.6761 || 0.6707 || 0.668 || 0.664
|0.682
|0.686
|0.693
|0.703
|0.703
|-
| {{flag|Mauritania}} || Africa || 0.5835 || 0.6022 || 0.6117 || 0.6103 || 0.6152 || 0.6164 || 0.6129 || 0.5810 || 0.6029 || 0.613 || 0.624
|0.614
|0.607
|0.614
|0.606
|N/A
|-
| {{flag|Mauritius}} || Africa || 0.6328 || 0.6487 || 0.6466 || 0.6513 || 0.6520 || 0.6529 || 0.6547 || 0.6599 || 0.6541 || 0.646 || 0.652
|0.664
|0.663
|0.665
|0.679
|0.679
|-
| {{flag|Mexico}} || North America || 0.6462 || 0.6441 || 0.6441 || 0.6503 || 0.6577 || 0.6604 || 0.6712 || 0.6917 || 0.6900 || 0.699 || 0.7
|0.692
|0.721
|0.754
|0.757
|0.764
|-
| {{flag|Moldova}} || Europe || 0.7128 || 0.7172 || 0.7244 || 0.7104 || 0.7160 || 0.7083 || 0.7101 || 0.7037 || 0.7405 || 0.742 || 0.741
|0.740
|0.733
|0.757
|0.768
|0.788
|-
| {{flag|Mongolia}} || East Asia || 0.6821 || 0.6731 || 0.7049 || 0.7221 || 0.7194 || 0.7140 || 0.7111 || 0.7204 || 0.7212 || 0.709 || 0.705
|0.713
|0.714
|0.706
|0.716
|0.715
|-
| {{flag|Montenegro}} || Europe || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || 0.689 || 0.681
|0.693
|0.706
|0.710
|0.732
|0.732
|-
| {{flag|Morocco}} || Africa || 0.5827 || 0.5676 || 0.5757 || 0.5926 || 0.5767 || 0.5804 || 0.5833 || 0.5845 || 0.5988 || 0.593 || 0.597
|0.598
|0.607
|0.605
|0.612
|0.624
|-
| {{flag|Mozambique}} || Africa || N/A || 0.6883 || 0.7266 || 0.7195 || 0.7329 || 0.7251 || 0.7350 || 0.7349 || 0.7370 || 0.741 || 0.75
|0.741
|0.721
|0.723
|0.758
|0.752
|-
| {{flag|Myanmar}} || Southeast Asia || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || 0.691 
|0.690
|0.665
|0.681
|0.677
|-
| {{flag|Namibia}} || Africa || 0.6864 || 0.7012 || 0.7141 || 0.7167 || 0.7238 || 0.7177 || 0.7121 || 0.7094 || 0.7219 || 0.760 || 0.765
|0.777
|0.789
|0.784
|0.809
|0.807
|-
| {{flag|Nepal}} || South Asia || 0.5478 || 0.5575 || 0.5942 || 0.6213 || 0.6084 || 0.5888 || 0.6026 || 0.6053 || 0.6458 || 0.658 || 0.661
|0.664
|0.671
|0.680
|0.683
|0.692
|-
| {{flag|Netherlands}} || Europe || 0.7250 || 0.7383 || 0.7399 || 0.7490 || 0.7444 || 0.7470 || 0.7659 || 0.7608 || 0.7730 || 0.776 || 0.756
|0.737
|0.747
|0.736
|0.762
|0.767
|-
| {{flag|New Zealand}} || Oceania || 0.7509 || 0.7649 || 0.7859 || 0.7880 || 0.7808 || 0.7810 || 0.7805 || 0.7799 || 0.7772 || 0.782 || 0.781
|0.791
|0.801
|0.799
|0.840
|0.841
|-
| {{flag|Nicaragua}} || Central America || 0.6566 || 0.6458 || 0.6747 || 0.7002 || 0.7176 || 0.7245 || 0.7697 || 0.7715 || 0.7894 || 0.776 || 0.78
|0.814
|0.809
|0.804
|0.796
|0.810
|-
| {{flag|Niger}} || Africa || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A
|N/A
|N/A
|N/A
|0.629
|0.635
|-
| {{flag|Nigeria}} || Africa || 0.6104 || 0.6122 || 0.6339 || 0.6280 || 0.6055 || 0.6011 || 0.6315 || 0.6469 || 0.6391 || 0.638 || 0.643
|0.641
|0.621
|0.635
|0.627
|0.639
|-
| {{flag|Norway}} || Europe || 0.7994 || 0.8059 || 0.8239 || 0.8227 || 0.8404 || 0.8404 || 0.8403 || 0.8417 || 0.8374 || 0.850 || 0.842
|0.830
|0.835
|0.842
|0.849
|0.845
|-
| {{flag|Oman}} || West Asia || N/A || 0.5903 || 0.5960 || 0.5938 || 0.5950 || 0.5873 || 0.5986 || 0.6053 || 0.6091 || 0.604 || 0.612
|N/A
|0.605
|0.602
|0.608
|0.609
|-
| {{flag|Pakistan}} || South Asia || 0.5434 || 0.5509 || 0.5549 || 0.5458 || 0.5465 || 0.5583 || 0.5478 || 0.5459 || 0.5522 || 0.559 || 0.556
|0.546
|0.550
|0.564
|0.556
|0.564
|-
| {{flag|Panama}} || Central America || 0.6935 || 0.6954 || 0.7095 || 0.7024 || 0.7072 || 0.7042 || 0.7122 || 0.7164 || 0.7195 || 0.772 || 0.721
|0.722
|0.722
|0.730
|0.737
|0.743
|-
| {{flag|Papua New Guinea}} || Oceania || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A
|N/A
|N/A
|N/A
|0.635
|N/A
|-
| {{flag|Paraguay}} || South America || 0.6556 || 0.6659 || 0.6379 || 0.6868 || 0.6804 || 0.6818 || 0.6714 || 0.6724 || 0.6890 || 0.666 || 0.676
|0.678
|0.672
|0.683
|0.702
|0.707
|-
| {{flag|Peru}} || South America || 0.6619 || 0.6624 || 0.6959 || 0.7024 || 0.6895 || 0.6796 || 0.6742 || 0.6787 || 0.7198 || 0.683 || 0.687
|0.719
|0.720
|0.714
|0.721
|0.749
|-
| {{flag|Philippines}} || Southeast Asia || 0.7516 || 0.7629 || 0.7568 || 0.7579 || 0.7654 || 0.7685 || 0.7757 || 0.7832 || 0.7814 || 0.790 || 0.786
|0.790
|0.799
|0.781
|0.784
|0.783
|-
| {{flag|Poland}} || Europe || 0.6802 || 0.6756 || 0.6951 || 0.6998 || 0.7037 || 0.7038 || 0.7015 || 0.7031 || 0.7051 || 0.715 || 0.727
|0.728
|0.728
|0.736
|0.713
|0.709
|-
| {{flag|Portugal}} || Europe || 0.6922 || 0.6959 || 0.7051 || 0.7013 || 0.7171 || 0.7144 || 0.7071 || 0.7056 || 0.7243 || 0.731 || 0.737
|0.734
|0.732
|0.744
|0.775
|0.766
|-
| {{flag|Qatar}} || West Asia || N/A || 0.6041 || 0.5948 || 0.5907 || 0.6059 || 0.6230 || 0.6264 || 0.6299 || 0.6403 || 0.645 || 0.643
|0.626
|0.629
|0.629
|0.624
|0.617
|-
| {{flag|Romania}} || Europe || 0.6797 || 0.6859 || 0.6763 || 0.6805 || 0.6826 || 0.6812 || 0.6859 || 0.6908 || 0.6936 || 0.693 || 0.69
|0.708
|0.711
|0.724
|0.700
|0.698
|-
| {{flag|Russia}} || Europe || 0.6770 || 0.6866 || 0.6994 || 0.6987 || 0.7036 || 0.7037 || 0.6980 || 0.6983 || 0.6927 || 0.694 || 0.691
|0.696
|0.701
|0.706
|0.708
|N/A
|-
| {{flag|Rwanda}} || Africa || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || 0.794 || 0.8
|0.822
|0.804
|0.791
|0.805
|0.811
|-
| {{flag|Saudi Arabia}} || West Asia || 0.5242 || 0.5647 || 0.5537 || 0.5651 || 0.5713 || 0.5753 || 0.5731 || 0.5879 || 0.6059 || 0.605 || 0.583
|0.584
|0.590
|0.599
|0.603
|0.636
|-
| {{flag|Senegal}} || Africa || N/A || N/A || N/A || 0.6427 || 0.6414 || 0.6573 || 0.6657 || 0.6923 || 0.6912 || 0.698 || 0.685
|0.684
|0.682
|0.684
|0.684
|0.668
|-
| {{flag|Serbia}} || Europe || N/A || N/A || N/A || N/A || N/A || N/A || 0.7037 || 0.7116 || 0.7086 || 0.720 || 0.72
|0.727
|0.730
|0.736
|0.780
|0.779
|-
| {{flag|Sierra Leone}} || Africa || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A
|N/A
|N/A
|N/A
|0.655
|0.672
|-
| {{flag|Singapore}} || Southeast Asia || 0.6550 || 0.6609 || 0.6625 || 0.6664 || 0.6914 || 0.6914 || 0.6989 || 0.7000 || 0.7046 || 0.711 || 0.712
|0.702
|0.707
|0.724
|0.727
|0.734
|-
| {{flag|Slovakia}} || Europe || 0.6757 || 0.6797 || 0.6824 || 0.6845 || 0.6778 || 0.6797 || 0.6824 || 0.6857 || 0.6806 || 0.675 || 0.679
|0.694
|0.693
|0.718
|0.712
|0.717
|-
| {{flag|Slovenia}} || Europe || 0.6745 || 0.6842 || 0.6937 || 0.6982 || 0.7047 || 0.7041 || 0.7132 || 0.7155 || 0.7443 || 0.784 || 0.786
|0.805
|0.784
|0.743
|0.741
|0.744
|-
| {{flag|South Africa}} || Africa || 0.7125 || 0.7194 || 0.7232 || 0.7709 || 0.7535 || 0.7478 || 0.7496 || 0.7510 || 0.7527 || 0.759 || 0.764
|0.756
|0.755
|0.780
|0.781
|0.782
|-
| {{flag|Spain}} || Europe || 0.7319 || 0.7444 || 0.7281 || 0.7345 || 0.7554 || 0.7580 || 0.7266 || 0.7266 || 0.7325 || 0.742 || 0.738
|0.746
|0.746
|0.795
|0.788
|0.788
|-
| {{flag|Sri Lanka}} || South Asia || 0.7199 || 0.7230 || 0.7371 || 0.7402 || 0.7458 || 0.7212 || 0.7122 || 0.7019 || 0.6903 || 0.686 || 0.673
|0.669
|0.676
|0.680
|0.670
|0.670
|-
| {{flag|Suriname}} || South America || N/A || 0.6794 || 0.6674 || 0.6726 || 0.6407 || 0.6395 || 0.6409 || 0.6369 || 0.6504 || 0.670 || 0.679
|0.689
|0.695
|0.707
|0.729
|0.737
|-
| {{flag|Sweden}} || Europe || 0.8133 || 0.8146 || 0.8139 || 0.8139 || 0.8024 || 0.8044 || 0.8159 || 0.8129 || 0.8165 || 0.823 || 0.815
|0.816
|0.822
|0.820
|0.823
|0.822
|-
| {{flag|Switzerland}} || Europe || 0.6997 || 0.6924 || 0.7360 || 0.7426 || 0.7562 || 0.7627 || 0.7672 || 0.7736 || 0.7798 || 0.785 || 0.776
|0.755
|0.755
|0.779
|0.798
|0.795
|-
| {{flag|Syria}} || West Asia || N/A || 0.6216 || 0.6181 || 0.6072 || 0.5926 || 0.5896 || 0.5626 || 0.5661 || 0.5775 || 0.568 || 0.567
|0.568
|0.568
|0.567
|0.568
|N/A
|-
| {{flag|Tajikistan}} || Central Asia || N/A || 0.6578 || 0.6541 || 0.6661 || 0.6598 || 0.6526 || 0.6608 || 0.6682 || 0.6654 || 0.675 || 0.679
|0.678
|0.638
|0.626
|0.650
|0.663
|-
| {{flag|Tanzania}} || Africa || 0.7038 || 0.6969 || 0.7068 || 0.6797 || 0.6829 || 0.6904 || 0.7091 || 0.6928 || 0.7182 || 0.718 || 0.716
|0.700
|0.704
|0.713
|0.707
|0.719
|-
| {{flag|Thailand}} || Southeast Asia || 0.6831 || 0.6815 || 0.6917 || 0.6907 || 0.6910 || 0.6892 || 0.6893 || 0.6928 || 0.7027 || 0.706 || 0.699
|0.694
|0.702
|0.708
|0.710
|0.709
|-
| {{flag|Timor-Leste}} || Southeast Asia || N/A || N/A || N/A || N/A || N/A || N/A || 0.6855 || N/A || N/A || N/A || 0.637
|0.628
|0.638
|0.662
|0.720
|0.730
|-
| {{flag|Togo}} || Africa || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A
|N/A
|N/A
|N/A
|0.683
|0.697
|-
| {{flag|Trinidad and Tobago}} || Central America || 0.6797 || 0.6859 || 0.7245 || 0.7298 || 0.7353 || 0.7372 || 0.7116 || 0.7166 || 0.7154 || 0.720 || 0.723
|N/A
|N/A
|0.756
|0.749
|N/A
|-
| {{flag|Tunisia}} || Africa || 0.6288 || 0.6283 || 0.6295 || 0.6233 || 0.6266 || 0.6255 || N/A || N/A || 0.6272 || 0.634 || 0.636
|0.651
|0.648
|0.644
|0.649
|0.643
|-
| {{flag|Turkey}} || West Asia || 0.5850 || 0.5768 || 0.5853 || 0.5828 || 0.5876 || 0.5954 || 0.6015 || 0.6081 || 0.6183 || 0.624 || 0.623
|0.625
|0.628
|0.635
|0.638
|0.639
|-
| {{flag|Uganda}} || Africa || 0.6797 || 0.6833 || 0.6981 || 0.7067 || 0.7169 || 0.7220 || 0.7228 || 0.7086 || 0.6821 || 0.708 || 0.704
|0.721
|0.724
|0.717
|0.717
|0.724
|-
| {{flag|Ukraine}} || Europe || 0.6797 || 0.6790 || 0.6856 || 0.6896 || 0.6869 || 0.6861 || 0.6894 || 0.6935 || 0.7056 || 0.702 || 0.7
|0.705
|0.708
|0.721
|0.714
|0.707
|-
| {{flag|United Arab Emirates}} || West Asia || 0.5919 || 0.6184 || 0.6220 || 0.6198 || 0.6397 || 0.6454 || 0.6392 || 0.6372 || 0.6436 || 0.646 || 0.639
|0.649
|0.642
|0.655
|0.716
|0.716
|-
| {{flag|United Kingdom}} || Europe || 0.7365 || 0.7441 || 0.7366 || 0.7402 || 0.7460 || 0.7462 || 0.7433 || 0.7440 || 0.7383 || 0.758 || 0.752
|0.770
|0.744
|0.767
|0.775
|0.780
|-
| {{flag|United States}} || North America || 0.7042 || 0.7002 || 0.7179 || 0.7173 || 0.7411 || 0.7412 || 0.7373 || 0.7392 || 0.7463 || 0.740 || 0.722
|0.718
|0.720
|0.724
|0.763
|0.769
|-
| {{flag|Uruguay}} || South America || 0.6549 || 0.6608 || 0.6907 || 0.6936 || 0.6897 || 0.6907 || 0.6745 || 0.6803 || 0.6871 || 0.679 || 0.681
|0.710
|0.715
|0.737
|0.702
|0.711
|-
| {{flag|Vanuatu}} || Oceania || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A || N/A
|N/A
|N/A
|N/A
|0.625
|0.670
|-
| {{flag|Venezuela}} || South America || 0.6664 || 0.6797 || 0.6875 || 0.6839 || 0.6863 || 0.6861 || 0.7060 || 0.7060 || 0.6851 || 0.691 || 0.694
|0.706
|0.709
|0.713
|0.699
|N/A
|-
| {{flag|Vietnam}} || Southeast Asia || N/A || 0.6889 || 0.6778 || 0.6802 || 0.6776 || 0.6732 || 0.6867 || 0.6863 || 0.6915 || 0.687 || 0.7
|0.698
|0.698
|0.700
|0.701
|0.705
|-
| {{flag|Yemen}} || West Asia || 0.4595 || 0.4510 || 0.4664 || 0.4609 || 0.4603 || 0.4873 || 0.5054 || 0.5128 || 0.5145 || 0.484 || 0.516
|0.516
|0.499
|0.494
|0.492
|N/A
|-
| {{flag|Zambia}} || Africa || 0.6360 || 0.6288 || 0.6205 || 0.6310 || 0.6293 || 0.6300 || 0.6279 || 0.6312 || 0.6364 || 0.650 || N/A
|N/A
|N/A
|0.731
|0.726
|0.723
|-
| {{flag|Zimbabwe}} || Africa || 0.6461 || 0.6464 || 0.6485 || 0.6518 || 0.6574 || 0.6607 || N/A || N/A || 0.7013 || 0.709 || 0.71
|0.717
|0.721
|0.730
|0.732
|0.734
|}

==Limits and criticisms==
The report measures women's disadvantage compared to men, and is not a measure of equality of the gender gap. Gender imbalances to the advantage of women do not affect the score.<ref name=":0">{{cite web|url=http://www3.weforum.org/docs/WEF_GenderGap_Report_2009.pdf |author=Ricardo Hausmann, Harvard University, Laura D. Tyson, University of California, Berkeley, Saadia Zahidi, World Economic Forum, Editors |year=2009 |title=The Global Gender Gap Report 2009 |publisher=World Economic Forum, Geneva, Switzerland |access-date=2009-11-02 |quote=(...) the Index rewards countries that reach the point where outcomes for women equal those for men, but it neither rewards nor penalizes cases in which women are outperforming men in particular variables |page=4 |url-status=dead |archive-url=https://web.archive.org/web/20130405044225/http://www3.weforum.org/docs/WEF_GenderGap_Report_2009.pdf |archive-date=April 5, 2013 }}</ref> So, for example, the indicator "number of years of a female head of state (last 50 years) over male value" would score 1 if the number of years was 25, but would still score 1 if the number of years was 50. Due to this methodology, gender gaps that favor women over men are reported as equality and would not cause deficits of equality in other areas to become less visible in the score, excepted for life expectancy. To put it more simply: women could be better off in all areas and still the index would deem that country perfectly equal.

The index is designed to "measure gender-based gaps in access to resources and opportunities in countries rather than the actual level of the available resources and opportunities in those countries."<ref name=gap2016 />

In an academic publication from 2010, Beneria and Permanyer criticized the Global Gender Gap Index for only capturing inequality in certain aspects of women's lives therefore making it an incomplete measure of gender inequality.<ref name=BP>Beneria, L., Permanyer, I.,(2010). ''The Measurement of Socio-economic Gender Inequality Revisited'', Development and Change, 41:3, pp.375-399</ref>

In an academic publication from 2019, Stoet and Geary argued that the Global Gender Gap Index has limitations as a measure of gender equality, because of the way it caps scores and because it ignores specific issues on which men are known to fall behind (e.g., risks of working in hazardous jobs).<ref name=GS>Stoet, G. & Geary, D.C. (2019). ''A simplified approach to measuring national gender inequality'', PLOS ONE 14(1): e0205349. https://doi.org/10.1371/journal.pone.0205349</ref> According to the Global Gender Gap Report 2021, the index do not penalize a country where women outperform men in certain aspect  and consider that parity is achieved in life expectancy only if women live five years longer than men.<ref name="GGGR2021" />

==See also==
* Gender Empowerment Measure 
* Gender Inequality Index
* Gender-Related Development Index
* Social Institutions and Gender Index
* [[Finance:Female labor force in the Muslim world|Female labour force in the Muslim world]]
* [[Social:Gender pay gap|Gender pay gap]]
* Women's rights in 2014
* Women Peace and Security Index

==Notes==
{{reflist|group=note}}

==References==
{{reflist}}

==External links==
* {{cite web | url = http://www.weforum.org/en/Communities/Women%20Leaders%20and%20Gender%20Parity/index.htm | title = Women Leaders and Gender Parity | work = World Economic Forum | location = Geneva, Switzerland | access-date = 2008-11-19 | url-status = dead | archive-url = https://web.archive.org/web/20081113001001/http://www.weforum.org/en/Communities/Women%20Leaders%20and%20Gender%20Parity/index.htm | archive-date = 2008-11-13 }}
* [https://www.economist.com/blogs/graphicdetail/2013/10/daily-chart-18 Daily chart: Sex and equality], The Economist, Oct 25th 2013

===Reports===
* {{Cite book|url=http://www3.weforum.org/docs/GGGR14/GGGR_CompleteReport_2014.pdf|title=The Global Gender Gap Index 2014|author1=Ricardo Hausmann |author2=Laura D. Tyson |author3=Yasmina Bekhouche |author4=Saadia Zahidi |date=2014| publisher = World Economic Forum, Geneva, Switzerland|access-date=2014-11-26}}
* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2013.pdf| author= Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors | year = 2013 | title = The Global Gender Gap Report 2013| publisher = World Economic Forum, Geneva, Switzerland|access-date=2013-10-26}}
* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2012.pdf| author= Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors | year = 2012 | title = The Global Gender Gap Report 2012| publisher = World Economic Forum, Geneva, Switzerland|access-date=2012-10-26}}
* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2011.pdf| title = The Global Gender Gap Report 2010}}
* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2010.pdf| author= Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors | year = 2010 | title = The Global Gender Gap Report 2010| publisher = World Economic Forum, Geneva, Switzerland|access-date=2010-10-20}}
* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2009.pdf| author = Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors| year = 2009| title = The Global Gender Gap Report 2009| publisher = World Economic Forum, Geneva, Switzerland| access-date = 2009-11-02| url-status = dead| archive-url = https://web.archive.org/web/20130405044225/http://www3.weforum.org/docs/WEF_GenderGap_Report_2009.pdf| archive-date = 2013-04-05}}
* {{Cite book| url =  http://www3.weforum.org/docs/WEF_GenderGap_Report_2008.pdf| author= Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors | year = 2008 | title = The Global Gender Gap Report 2008| publisher = World Economic Forum, Geneva, Switzerland|access-date=2008-11-19}}
* {{Cite book| url =  http://www3.weforum.org/docs/WEF_GenderGap_Report_2007.pdf| author= Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors | year = 2007 | title = The Global Gender Gap Report 2007| publisher = World Economic Forum, Geneva, Switzerland|access-date=2008-11-19}}
* {{Cite book| url =  http://www3.weforum.org/docs/WEF_GenderGap_Report_2006.pdf| author= Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors | year = 2006 | title = The Global Gender Gap Report 2006| publisher = World Economic Forum, Geneva, Switzerland|access-date=2008-11-19}}

{{Population country lists}}

[[Category:Economic indicators]]

{{Sourceattribution|Global Gender Gap Report}}