Visualizza wikitesto di Global Gender Gap Report

{{T|inglese|economia|ottobre 2020}}
Il '''Global Gender Gap Report''', introdotto dal [[Forum economico mondiale]] nel 2006, fornisce un quadro che mostra l'ampiezza e la portata della [[divario di genere]] in tutto il mondo. Per ogni nazione l'indice fissa uno standard del divario di genere basandosi su criteri economici, politici, educazione e salute, e fornisce una classifica dei paesi, permettendo un confronto efficace sia tra regioni che gruppi di reddito nel tempo. Le classifiche sono state realizzate per creare maggiore consapevolezza a livello mondiale. La metodologia e l'analisi quantitativa sono destinate a servire come base per la progettazione di misure efficaci per la riduzione delle disparità di genere<ref>{{cita testo|url=http://reports.weforum.org/global-gender-gap-report-2015/the-global-gender-gap-index-2015/|titolo= The Global Gender Gap Index 2015 |autore=World Economic Forum|data=2015}}</ref>.
[[File:Global Gender Gap Report.svg|alt=|miniatura|Mappa dell'Indice globale sul divario di genere del WEF per il 2017<ref name=gap2016/>]]

== Valori limite superiori dell'indice del divario di genere ==
{| style="text-align:center; border-collapse:collapse"
|- style="text-align:left"
! colspan="4" | 1. Partecipazione e opportunità
|- style="background-color:#E6e6Fa"
! style="text-align:left" width="200" | &nbsp;ratio !! width="100" style="text-align:center"| limite<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" | ponderazione<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" | valore
|- 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; || somma || 1.0 ||style="background-color:#FFEBAD; font-weight:bold" | 1.0
|- 
! colspan="4" style="text-align:left" | 2. Educazione
|- style="background-color:#E6e6Fa"
! style="text-align:left" width="300" | &nbsp;ratio !! width="100" style="text-align:center"| limite<ref name="Construction_of_the_Index" /> !! width="100" style="text-align:center" | ponderazione<ref name="Calculation_of_weights" /> !! width="100" style="text-align:center" | valore
|- 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; || somma || 1.0 ||style="background-color:#FFEBAD; font-weight:bold" | 1.0
|- 
! colspan="4" style="text-align:left" | 3. Salute e sopravvivenza
|- style="background-color:#E6e6Fa"
! style="text-align:left"| &nbsp;ratio !! limite<ref name="Construction_of_the_Index" /> !! ponderazione<ref name="Calculation_of_weights" /> !! valore
|- 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"| 0.345
|- 
| &nbsp; || somma || 1.0 || style="background-color:#FFEBAD;font-weight:bold;color:#FF0000" | 1.0
|- 
! colspan="4" style="text-align:left" | 4. Potere politico
|- style="background-color:#E6e6Fa"
! style="text-align:left"| &nbsp;ratio !! limite<ref name="Construction_of_the_Index" /> !! ponderazione<ref name="Calculation_of_weights" /> !! valore
|- 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; || somma || 1.0 ||style="background-color:#FFEBAD; font-weight:bold" | 1.0
|}

{| class="wikitable"
|- 
! colspan="2"style="text-align:left"| Compilation
|- 
|1. Partecipazione ed opportunità || style="text-align:center" | 1.000 
|- 
| 2. Educazione || style="text-align:center" |1.000 
|- 
| 3. Salute e sopravvivenza || style="text-align:center" |1.000
|- 
| 4. Potere politico || style="border-bottom: 1pt black solid; text-align:center" |1.000 
|- 
|style="text-align:right" | somma &nbsp;|| style="background-color:#FFEBAD; font-weight:bold" | 4.000
|}
'''Indice del divario di genere''': 4.0 / 4 = <span style="background:yellow"><u> 1.0 </u> </span>

Questo è il limite superiore dell'indice del divario di genere (limite superiore) per il rapporto ''femmina-maschio'' e per il rapporto ''maschio-femmina''.

== Indice globale sul divario di genere del WEF ==
Il valore massimo possibile è 1.0 (eguale o migliore per la donna, eccetto per la aspettativa di vita (106% o meglio per la donna) e parità di genere alla nascita (94.4% o meglio per la donna<ref>2016 Report, Page 6</ref>) e il più basso possibile è 0.<ref>http://www3.weforum.org/docs/WEF_GenderGap_Report_2012.pdf</ref><ref name="ggr13">{{Cita web|titolo=The Global Gender Gap Report 2013|url=http://www3.weforum.org/docs/WEF_GenderGap_Report_2013.pdf#page=20|editore=World Economic Forum|pp=12–13}}</ref><ref>{{Cita web|url=http://reports.weforum.org/global-gender-gap-report-2014/rankings/|titolo=Global Gender Gap Report 2014 - Reports - World Economic Forum|opera=Global Gender Gap Report 2014}}</ref>

{| class="wikitable sortable"
!rowspan="2"|Nazione
!rowspan="2"|Regione
!colspan="12"|Anno
!
|
|
|-
!2006
!2007
!2008
!2009
!2010
!2011
!2012
!2013
!2014
!2015<ref name="gggr2015">{{Cita web|url=http://reports.weforum.org/global-gender-gap-report-2015/rankings/ |titolo=Global Gender Gap Report 2015 - Rankings |editore=World Economic Forum |accesso=28 aprile 2016|urlarchivio=https://web.archive.org/web/20160417125436/http://reports.weforum.org/global-gender-gap-report-2015/rankings/|dataarchivio=17 aprile 2016|urlmorto=no}}</ref>
!2016<ref name="gap2016">{{Cita web|url=http://time.com/5028384/gender-gap-united-states-world-economic-forum/|titolo=Global Gender Gap Report 2017 - Rankings|editore=World Economic Forum|accesso=17 novembre 2017}}</ref>
!2017
!2018
!2020<ref>http://www3.weforum.org/docs/WEF_GGGR_2020.pdf</ref>
!2021
|-
|{{AFG}}
|Medio oriente
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|0.444
|-
| {{ALB}} || Europa || 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
|0.777
|-
| {{DZA}} || 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
|-
| {{AGO}} || 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
|-
|{{SAU}}
|Medio oriente
|0.5242
|0.5647
|0.5537
|0.5651
|0.5713
|0.5753
|0.5732
|0.5879
|0.6059
|0.605
|0.583
|0.584
|0.590
|0.599
|0.603
|-
| {{ARG}} || America del sud || 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
|-
| {{ARM}} || Europa e Asia centrale || 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
|-
| {{AUS}} || 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
|-
| {{AUT}} || Europa || 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
|-
| {{AZE}} || Europa e Asia centrale || 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
|-
| {{BHS}} || America del nord || 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
|-
| {{BHR}} || Medio oriente || 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
|-
| {{BGD}} || Asia del sud || 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
|-
| {{BRB}} || America centrale || 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
|-
| {{BLR}} || Europa || 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
|0.746
|-
|{{MMR}}
|Sud-est asiatico
|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
|-
| {{BEL}} || Europa || 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
|-
| {{BLZ}} || America centrale || 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
|-
| {{BEN}} || 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
|0.658
|-
| {{BTN}} || Asia del sud || 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
|-
| {{BOL}} || America del sud || 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
|-
| {{BWA}} || 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
|-
|{{Naz/BIH}}
|Europa
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|0.713
|-
| {{BRA}} || America del sud || 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
|-
| {{Bandiera|Brunei Darussalam|nome}} || Sud-est asiatico || 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
|-
| {{BGR}} || Europa || 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
|-
| {{BFA}} || 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
|-
| {{BDI}} || 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
|-
| {{KHM}} || Sud-est asiatico || 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
|0.684
|-
| {{CMR}} || 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
|-
| {{CAN}} || America del nord || 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
|-
| {{CPV}} || 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
|-
| {{TCD}} || 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
|-
| {{CHL}} || America del sud || 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
|-
| {{CHN}} || 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
|-
| {{COL}} || America del sud || 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
|-
| {{CRI}} || America centrale || 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
|-
| {{CIV}} || 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
|-
|{{Bandiera|Korea|nome}}
|Asia orientale
|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
|-
| {{HRV}} || Europa || 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
|-
| {{CUB}} || America centrale || 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
|-
| {{CYP}} || Europa e medio oriente || 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
|-
| {{DNK}} || Europa || 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
|-
| {{ECU}} || America del sud || 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
|-
| {{EGY}} || Medio oriente e 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
|-
| {{SLV}} || America centrale || 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
|-
|{{ARE}}
|Medio oriente
|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
|-
| {{EST}} || Europa || 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
|-
| {{ETH}} || 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
|-
| {{FJI}} || 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
|-
| {{PHL}} || Sud-est asiatico || 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
|-
| {{FIN}} || Europa || 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
|-
| {{FRA}} || Europa || 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
|-
| {{GMB}} || 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
|-
| {{GEO}} || Europa e Asia centrale || 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
|-
| {{DEU}} || Europa || 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
|-
| {{JAM}} || America centrale || 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
|-
| {{JPN}} || Asia orientale || 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
|-
|{{JOR}}
|Medio oriente
|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
|0.638
|-
| {{GHA}} || 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
|-
| {{GRC}} || Europa || 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
|-
| {{GTM}} || America centrale || 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
|-
| {{GIN}} || 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
|-
| {{GUY}} || America del sud || 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
|-
| {{HND}} || Centro 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
|-
| {{ISL}} || Europa || 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
|-
| {{IND}} || Asia meridionale || 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
|-
| {{IDN}} || Sud-est asiatico || 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
|-
| {{IRN}} || Medio oriente || 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
|-
| {{IRL}} || Europa || 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
|-
| {{ISR}} || Medio oriente || 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
|-
| {{ITA}} || Europa || 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
|-
| {{KAZ}} || Asia centrale || 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
|-
| {{KEN}} || 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
|-
| {{KWT}} || Medio oriente || 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
|-
| {{KGZ}}  || Asia centrale || 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
|-
| {{LAO}} || Sud-est asiatico || 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
|-
| {{LVA}} || Europa || 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
|-
| {{LBN}} || Medio oriente || 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
|-
| {{LSO}} || 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
|-
| {{LBR}} || 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
|-
| {{LTU}} || Europa || 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
|-
| {{LUX}} || Europa || 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
|-
| {{MKD}} || Europa || 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
|-
| {{MDG}} || 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
|-
| {{MWI}} || 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
|-
| {{MYS}} || Sud-est asiatico || 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
|-
| {{MDV}} || Asia meridionale || 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
|-
| {{MLI}} || 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
|-
| {{MLT}} || Europa || 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
|-
| {{MRT}} || 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
|-
| {{MUS}} || 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
|-
| {{MEX}} || America del nord || 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
|-
| {{MDA}} || Europa || 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
|-
| {{MNG}} || Asia orientale || 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
|-
| {{MNE}} || Europa || 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
|-
| {{MAR}} || 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
|-
| {{MOZ}} || 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
|-
| {{NAM}} || 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
|-
| {{NPL}} || Asia meridionale || 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
|-
| {{NZL}} || 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
|-
| {{NIC}} || America centrale || 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
|-
| {{NGA}} || 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
|-
| {{NOR}} || Europa || 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
|-
| {{OMN}} || Medio oriente || 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
|-
|{{NLD}}
|Europa
|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
|-
| {{PAK}} || Asia meridionale || 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
|-
| {{PAN}} || America centrale || 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
|-
| {{PRY}} || America del sud || 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
|-
| {{PER}} || America del sud || 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
|-
| {{POL}} || Europa || 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
|-
| {{PRT}} || Europa || 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
|-
| {{QAT}} || Medio oriente || 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
|-
| {{GBR}} || Europa || 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
|-
|{{CZE}}
|Europa
|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
|-
|{{COD}}
|Africa
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|0.576
|-
|{{COG}}
|Africa
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|N/A
|-
|{{DOM}}
|America centrale
|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
|-
| {{ROU}} || Europa || 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
|-
| {{RUS}} || Europa e Asia settentrionale || 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
|-
| {{RWA}} || 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
|-
| {{SEN}} || 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
|-
| {{SRB}} || Europa || 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
|-
| {{SGP}} || Sud-est asiatico || 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
|-
| {{SYR}} || Medio oriente || 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
|-
| {{SVK}} || Europa || 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
|-
| {{SVN}} || Europa || 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
|-
| {{ESP}} || Europa || 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
|-
| {{LKA}} || Asia meridionale || 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
|-
|{{USA}}
|America del nord
|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
|-
| {{ZAF}} || 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
|-
| {{SUR}} || America del sud || 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
|-
| {{SWZ}} || 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
|-
| {{SWE}} || Europa || 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
|-
| {{CHE}} || Europa || 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
|-
| {{TJK}} || Asia centrale || 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
|-
| {{TZA}} || 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
|-
| {{THA}} || Sud-est asiatico || 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
|-
| {{TLS}} || Sud-est asiatico || 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
|-
| {{TTO}} || America centrale || 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
|-
| {{TUN}} || 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
|-
| {{TUR}} || Medio oriente e Europa || 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
|-
| {{UKR}} || Europa || 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
|-
| {{UGA}} || 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
|-
|{{HUN}}
|Europa
|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
|-
| {{URY}} || America del sud || 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
|-
| {{VEN}} || America del sud || 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
|-
| {{VNM}} || Sud-est asiatico || 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
|-
| {{YEM}} || Medio oriente || 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
|-
| {{ZMB}} || 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
|-
| {{ZWE}} || 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
|}

== Critiche e limiti ==
Ci sono state critiche in merito all'imparzialità del documento, principalmente riguardo alla scelta di confrontare unicamente i dati delle donne con quelli degli uomini fornendo così una relazione che non riesce a fornire un'interpretazione bilaterale dell'effettiva uguaglianza sociale fra i due sessi. Dati che presentano un'asimmetria positiva nei confronti delle donne non sono rappresentati correttamente e rischiano di tralasciare quei campi dove le donne si trovano in netto vantaggio rispetto agli uomini<ref name=":0">Ricardo Hausmann, Harvard University, Laura D. Tyson, University of California, Berkeley, Saadia Zahidi, World Economic Forum, Editors (2009). "The Global Gender Gap Report 2009" (PDF). A pagina 4, <q>(...) 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</q></ref><ref>{{Cita web|url=https://erikgahner.dk/2018/problems-with-the-global-gender-gap-report/|titolo=Problems with The Global Gender Gap Report}}</ref>. 

Inoltre è necessario notare come siano state sollevate critiche anche verso ciò che riguarda la base teorica della relazione, specie per gli assunti filosofici nelle scelte delle misure di benessere sociale<ref name=":0" />: in particolar modo risulta ancora poco chiaro se queste misure siano un corredo del sottofondo culturale e sociale dei paesi che svolgono le ricerche o dei criteri effettivamente oggettivi tramite i quali analizzare l'ineguaglianza tra i sessi.

== Note ==
<references />

== Altri progetti ==
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{{portale|economia|sociologia}}

[[Categoria:Tipi di economia]]