Gender Development Index (GDI)
The Gender Development Index (GDI) measures gender inequalities
across three basic dimensions: health, knowledge, and living
standards.
# Load the required data
library(genderstat)
data(real_data_GDI)
# Compute the GDI
gdi_results <- gender_development_index(real_data_GDI)
print(gdi_results)
## country GDI female_hdi male_hdi
## 1 Afghanistan 0.4555789 0.4038910 0.4826536
## 2 Albania 0.5083293 0.8462988 0.8185645
## 3 Algeria 0.4811433 0.7000308 0.7549012
## 4 Andorra NA NA NA
## 5 Angola 0.4632897 0.5425995 0.6285888
## 6 Antigua and Barbuda NA NA NA
## 7 Argentina 0.5063904 0.8454865 0.8241473
## 8 Armenia 0.5058769 0.8215929 0.8025035
## 9 Australia 0.5000904 0.9314586 0.9311217
## 10 Austria 0.4981551 0.9097618 0.9165004
## 11 Azerbaijan 0.4989974 0.7850723 0.7882271
## 12 Bahamas 0.5062660 0.8781539 0.8564163
## 13 Bahrain 0.4899338 0.8374295 0.8718411
## 14 Bangladesh 0.4802119 0.6544770 0.7084150
## 15 Barbados 0.5112886 0.8080541 0.7723726
## 16 Belarus 0.5090666 0.8606856 0.8300277
## 17 Belgium 0.5013840 0.9174195 0.9123546
## 18 Belize 0.5048443 0.7308264 0.7168009
## 19 Benin 0.4610178 0.4839404 0.5657814
## 20 Bhutan 0.4778506 0.5889875 0.6435891
## 21 Bolivia (Plurinational State of) 0.4938062 0.7238583 0.7420169
## 22 Bosnia and Herzegovina 0.4868770 0.7896570 0.8322248
## 23 Botswana 0.5033230 0.7585312 0.7485154
## 24 Brazil 0.5070884 0.7427448 0.7219796
## 25 Brunei Darussalam 0.5008444 0.8104818 0.8077490
## 26 Bulgaria 0.5059645 0.8409751 0.8211477
## 27 Burkina Faso 0.4566084 0.3697699 0.4400486
## 28 Burundi 0.4660367 0.4165147 0.4772233
## 29 Cabo Verde 0.4972036 0.6527536 0.6600961
## 30 Cambodia 0.4790844 0.5658275 0.6152326
## 31 Cameroon 0.4637832 0.5499703 0.6358646
## 32 Canada 0.5025960 0.9542254 0.9443681
## 33 Central African Republic 0.4531161 0.4327629 0.5223189
## 34 Chad 0.4239227 0.3394367 0.4612675
## 35 Chile 0.4987568 0.8435738 0.8477791
## 36 China 0.4960511 0.7339313 0.7456166
## 37 Colombia 0.5056499 0.7627873 0.7457412
## 38 Comoros 0.4644840 0.5191360 0.5985257
## 39 Congo 0.4848963 0.5838320 0.6202026
## 40 Congo (Democratic Republic of the) 0.4675343 0.5469045 0.6228588
## 41 Costa Rica 0.5048312 0.7841154 0.7691075
## 42 Croatia 0.4998319 0.8792730 0.8798644
## 43 Cuba 0.5002827 0.8311849 0.8302454
## 44 Cyprus 0.5002603 0.9063657 0.9054226
## 45 Czechia 0.5012207 0.9049644 0.9005566
## 46 Denmark 0.5037823 0.9401790 0.9260618
## 47 Djibouti NA NA NA
## 48 Dominica NA NA NA
## 49 Dominican Republic 0.5092555 0.7870126 0.7584054
## 50 Ecuador 0.5029583 0.7517692 0.7429256
## 51 Egypt 0.4931331 0.7405816 0.7612067
## 52 El Salvador 0.4954582 0.6763161 0.6887154
## 53 Equatorial Guinea 0.4506272 0.5497540 0.6702213
## 54 Eritrea NA NA NA
## 55 Estonia 0.5090747 0.9320489 0.8988196
## 56 Eswatini (Kingdom of) 0.5111391 0.5977236 0.5716716
## 57 Ethiopia 0.4506511 0.4299906 0.5241634
## 58 Fiji 0.4974082 0.7706162 0.7786471
## 59 Finland 0.5049694 0.9353980 0.9169874
## 60 France 0.5006477 0.8958184 0.8935004
## 61 Gabon 0.4762044 0.6989327 0.7687831
## 62 Gambia 0.4661223 0.4998611 0.5725207
## 63 Georgia 0.5078759 0.8640509 0.8372525
## 64 Germany 0.4999077 0.9515440 0.9518952
## 65 Ghana 0.4903510 0.6726220 0.6990935
## 66 Greece 0.4976902 0.8641971 0.8722186
## 67 Grenada NA NA NA
## 68 Guatemala 0.4846296 0.6077574 0.6463085
## 69 Guinea 0.4275897 0.3484378 0.4664503
## 70 Guinea-Bissau 0.4428150 0.4239563 0.5334554
## 71 Guyana 0.5042062 0.7387380 0.7264126
## 72 Haiti 0.4716826 0.5489501 0.6148623
## 73 Honduras 0.4946228 0.6603521 0.6747098
## 74 Hong Kong, China (SAR) 0.4965011 0.9245010 0.9375311
## 75 Hungary 0.5020320 0.8747225 0.8676414
## 76 Iceland 0.5018951 0.9582711 0.9510345
## 77 India 0.4775754 0.6166271 0.6745346
## 78 Indonesia 0.4926236 0.7103370 0.7316099
## 79 Iran (Islamic Republic of) 0.4893305 0.7765891 0.8104548
## 80 Iraq 0.4720823 0.6542494 0.7316305
## 81 Ireland 0.5035339 0.9131419 0.9003247
## 82 Israel 0.5022713 0.9381663 0.9296814
## 83 Italy 0.4978087 0.8671339 0.8747680
## 84 Ivory Coast 0.4819224 0.5450777 0.5859711
## 85 Jamaica 0.5117942 0.7576469 0.7227273
## 86 Japan 0.5006400 0.9442218 0.9418077
## 87 Jordan 0.4864272 0.7642715 0.8069227
## 88 Kazakhstan 0.5062251 0.8544831 0.8334678
## 89 Kenya 0.4893864 0.6088616 0.6352711
## 90 Kiribati NA NA NA
## 91 Korea (Republic of) 0.4921629 0.9054403 0.9342764
## 92 Kuwait 0.5108866 0.7788521 0.7456587
## 93 Kyrgyzstan 0.5059878 0.7829593 0.7644284
## 94 Lao People's Democratic Republic 0.4901257 0.5999608 0.6241349
## 95 Latvia 0.5115755 0.9112633 0.8700248
## 96 Lebanon 0.4880373 0.7234205 0.7588853
## 97 Lesotho 0.5117927 0.5821402 0.5553128
## 98 Liberia 0.4596612 0.4903629 0.5764290
## 99 Libya 0.5125482 0.7398802 0.7036527
## 100 Liechtenstein NA NA NA
## 101 Lithuania 0.5107530 0.9209309 0.8821537
## 102 Luxembourg 0.5019035 0.9507628 0.9435512
## 103 Madagascar 0.4964454 0.5473065 0.5551440
## 104 Malawi 0.4941148 0.5137122 0.5259494
## 105 Malaysia 0.5007569 0.8289442 0.8264382
## 106 Maldives 0.4863241 0.7060053 0.7457122
## 107 Mali 0.5042266 0.4195187 0.4124856
## 108 Malta 0.4984982 0.9064885 0.9119504
## 109 Marshall Islands NA NA NA
## 110 Mauritania 0.4819032 0.5507829 0.5921497
## 111 Mauritius 0.4944915 0.8021022 0.8199726
## 112 Mexico 0.5022483 0.7657888 0.7589327
## 113 Micronesia (Federated States of) NA NA NA
## 114 Moldova (Republic of) 0.5082774 0.8312857 0.8042103
## 115 Mongolia 0.5170560 0.7797104 0.7282701
## 116 Montenegro 0.4978421 0.8602586 0.8677160
## 117 Morocco 0.4661035 0.5994131 0.6865954
## 118 Mozambique 0.4621233 0.4183926 0.4869775
## 119 Myanmar 0.4936671 0.6139872 0.6297401
## 120 Namibia 0.5141884 0.6645986 0.6279210
## 121 Nepal 0.4711151 0.5535418 0.6214192
## 122 Netherlands 0.4981427 0.9190406 0.9258940
## 123 New Zealand 0.5005066 0.9279119 0.9260334
## 124 Nicaragua 0.5066025 0.6880047 0.6700713
## 125 Niger 0.4559616 0.3709258 0.4425766
## 126 Nigeria 0.4723607 0.5711361 0.6379740
## 127 North Macedonia 0.4907565 0.7836621 0.8131830
## 128 Norway 0.5022641 0.9464419 0.9379091
## 129 Oman 0.4945043 0.8245758 0.8429039
## 130 Pakistan 0.4691659 0.5162000 0.5840504
## 131 Palau NA NA NA
## 132 Palestine, State of 0.4890783 0.7400109 0.7730616
## 133 Panama 0.5089803 0.8454171 0.8155847
## 134 Papua New Guinea 0.4817615 0.5430424 0.5841592
## 135 Paraguay 0.5028128 0.7474686 0.7391058
## 136 Peru 0.4915821 0.7641186 0.7902883
## 137 Philippines 0.5068877 0.7429038 0.7227143
## 138 Poland 0.5064518 0.9115293 0.8883051
## 139 Portugal 0.5050903 0.8335050 0.8167048
## 140 Qatar 0.5116927 0.8871298 0.8465862
## 141 Romania 0.5007055 0.8458737 0.8434900
## 142 Russian Federation 0.5092970 0.8743595 0.8424374
## 143 Rwanda 0.4864421 0.5250964 0.5543668
## 144 Saint Kitts and Nevis NA NA NA
## 145 Saint Lucia 0.5098606 0.7506604 0.7216252
## 146 Saint Vincent and the Grenadines 0.5026248 0.7938577 0.7855663
## 147 Samoa 0.5037477 0.7952008 0.7833689
## 148 San Marino NA NA NA
## 149 Sao Tome and Principe 0.4816185 0.5986697 0.6443676
## 150 Saudi Arabia 0.4869555 0.8365346 0.8813525
## 151 Senegal 0.4132514 0.3911081 0.5553088
## 152 Serbia 0.4973456 0.8299787 0.8388383
## 153 Seychelles NA NA NA
## 154 Sierra Leone 0.4592575 0.4781691 0.5630095
## 155 Singapore 0.4969728 0.9175604 0.9287388
## 156 Slovakia 0.5038586 0.8942693 0.8805724
## 157 Slovenia 0.5037311 0.9204548 0.9068192
## 158 Solomon Islands NA NA NA
## 159 South Africa 0.4839882 0.7401432 0.7891155
## 160 South Sudan 0.4799480 0.4975012 0.5390718
## 161 Spain 0.5010230 0.8668633 0.8633233
## 162 Sri Lanka 0.4982880 0.8098682 0.8154331
## 163 Sudan 0.4779935 0.4948790 0.5404469
## 164 Suriname 0.5046338 0.7734935 0.7592882
## 165 Sweden 0.5050896 0.9363333 0.9174632
## 166 Switzerland 0.4968414 0.9596625 0.9718643
## 167 Syrian Arab Republic 0.4728556 0.5572254 0.6212006
## 168 Tajikistan 0.4910187 0.7657497 0.7937627
## 169 Tanzania (United Republic of) 0.4887357 0.6011899 0.6289021
## 170 Thailand 0.5054607 0.7835557 0.7666254
## 171 Timor-Leste 0.4774808 0.5720078 0.6259626
## 172 Togo 0.4418367 0.4817355 0.6085665
## 173 Tonga 0.5027051 0.7950086 0.7864526
## 174 Trinidad and Tobago 0.5042136 0.8469878 0.8328316
## 175 Tunisia 0.4840948 0.6808470 0.7255861
## 176 Turkiye 0.4856155 0.7549841 0.7997111
## 177 Turkmenistan 0.4976564 0.7965997 0.8041025
## 178 Tuvalu NA NA NA
## 179 Uganda 0.4768562 0.5512129 0.6047183
## 180 Ukraine 0.5137584 0.8290694 0.7846646
## 181 United Arab Emirates 0.4943067 0.8986842 0.9193856
## 182 United Kingdom 0.5014740 0.9345483 0.9290545
## 183 United States 0.5038323 0.9408943 0.9265807
## 184 Uruguay 0.5105581 0.7949252 0.7620479
## 185 Uzbekistan 0.4971211 0.8020665 0.8113563
## 186 Vanuatu NA NA NA
## 187 Venezuela (Bolivarian Republic of) 0.5064210 0.7812478 0.7614366
## 188 Viet Nam 0.5010739 0.7284699 0.7253474
## 189 Yemen 0.4277481 0.4127134 0.5521381
## 190 Zambia 0.5033930 0.6324352 0.6239096
## 191 Zimbabwe 0.4966611 0.6627813 0.6716926
Visualizing Gender Development Index (GDI) and Human Development
Index (HDI)
To gain insights into the gender inequalities across nations, we can
visualize the Gender Development Index (GDI) and Human Development Index
(HDI) for the bottom 15 countries.
# Load necessary libraries
library(genderstat)
library(ggplot2)
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(reshape2)
# Load the example dataset
data(real_data_GDI)
# Plot Gender Development Index (GDI) for Bottom 15 Countries
gdi_plot <- plot_gdi(real_data_GDI)
print(gdi_plot)
# Plot Human Development Index (HDI) for Bottom 15 Countries by Gender
hdi_plot <- plot_hdi(real_data_GDI)
print(hdi_plot)
