Menginput data dari folder pribadi
edu <- read.csv("C:/Users/yulia/Downloads/Global_Education.csv", header=T); edu
## Countries.and.areas Latitude Longitude
## 1 Afghanistan 33.939110 67.709953
## 2 Albania 41.153332 20.168331
## 3 Algeria 28.033886 1.659626
## 4 Andorra 42.506285 1.521801
## 5 Angola 11.202692 17.873887
## 6 Anguilla 18.220554 63.068615
## 7 Antigua and Barbuda 17.060816 61.796428
## 8 Argentina 38.416097 63.616672
## 9 Armenia 40.069099 45.038189
## 10 Australia 25.274398 133.775136
## 11 Austria 47.516231 14.550072
## 12 Azerbaijan 40.143105 47.576927
## 13 The Bahamas 25.034280 77.396280
## 14 Bahrain 26.066700 50.557700
## 15 Bangladesh 23.684994 90.356331
## 16 Barbados 13.193887 59.543198
## 17 Belarus 53.709807 27.953389
## 18 Belgium 50.503887 4.469936
## 19 Belize 17.189877 88.497650
## 20 Benin 9.307690 2.315834
## 21 Bhutan 27.514162 90.433601
## 22 Bolivia 16.290154 63.588653
## 23 Bosnia and Herzegovina 43.915886 17.679076
## 24 Botswana 22.328474 24.684866
## 25 Brazil 14.235004 51.925280
## 26 British Virgin Islands 18.420695 64.639968
## 27 Brunei 4.535277 114.727669
## 28 Bulgaria 42.733883 25.485830
## 29 Burkina Faso 12.238333 1.561593
## 30 Burundi 3.373056 29.918886
## 31 Cape Verde 16.538800 23.041800
## 32 Cambodia 12.565679 104.990963
## 33 Cameroon 7.369722 12.354722
## 34 Canada 56.130366 106.346771
## 35 Central African Republic 6.611111 20.939444
## 36 Chad 15.454166 18.732207
## 37 Chile 35.675147 71.542969
## 38 China 35.861660 104.195397
## 39 Colombia 4.570868 74.297333
## 40 Comoros 11.645500 43.333300
## 41 Republic of the Congo 0.228021 15.827659
## 42 Cook Islands 21.236736 159.777671
## 43 Costa Rica 9.748917 83.753428
## 44 Ivory Coast 7.539989 5.547080
## 45 Croatia 45.100000 15.200000
## 46 Cuba 21.521757 77.781167
## 47 Cyprus 35.126413 33.429859
## 48 Czech Republic 49.817492 15.472962
## 49 North Korea 40.339852 127.510093
## 50 Democratic Republic of the Congo 4.038333 21.758664
## 51 Denmark 56.263920 9.501785
## 52 Djibouti 11.825138 42.590275
## 53 Dominica 15.414999 61.370976
## 54 Dominican Republic 18.735693 70.162651
## 55 Ecuador 1.831239 78.183406
## 56 Egypt 26.820553 30.802498
## 57 El Salvador 13.794185 88.896530
## 58 Equatorial Guinea 1.650801 10.267895
## 59 Eritrea 15.179384 39.782334
## 60 Estonia 58.595272 25.013607
## 61 Eswatini 26.522503 31.465866
## 62 Ethiopia 9.145000 40.489673
## 63 Fiji 17.713371 178.065032
## 64 Finland 61.924110 25.748151
## 65 France 46.227638 2.213749
## 66 Gabon 0.803689 11.609444
## 67 The Gambia 13.443182 15.310139
## 68 Georgia 42.315407 43.356892
## 69 Germany 51.165691 10.451526
## 70 Ghana 7.946527 1.023194
## 71 Greece 39.074208 21.824312
## 72 Grenada 12.116500 61.679000
## 73 Guatemala 15.783471 90.230759
## 74 Guinea 9.945587 9.696645
## 75 Guinea0Bissau 11.803749 15.180413
## 76 Guyana 4.860416 58.930180
## 77 Haiti 18.971187 72.285215
## 78 Vatican City 41.902916 12.453389
## 79 Honduras 15.199999 86.241905
## 80 Hungary 47.162494 19.503304
## 81 Iceland 64.963051 19.020835
## 82 India 20.593684 78.962880
## 83 Indonesia 0.789275 113.921327
## 84 Iran 32.427908 53.688046
## 85 Iraq 33.223191 43.679291
## 86 Republic of Ireland 53.412910 8.243890
## 87 Israel 31.046051 34.851612
## 88 Italy 41.871940 12.567380
## 89 Jamaica 18.109581 77.297508
## 90 Japan 36.204824 138.252924
## 91 Jordan 31.302848 36.786839
## 92 Kazakhstan 48.019573 66.923684
## 93 Kenya 0.023559 37.906193
## 94 Kiribati 1.836898 157.376832
## 95 Kuwait 29.311660 47.481766
## 96 Kyrgyzstan 41.204380 74.766098
## 97 Laos 19.856270 102.495496
## 98 Latvia 56.879635 24.603189
## 99 Lebanon 33.854721 35.862285
## 100 Lesotho 29.609988 28.233608
## 101 Liberia 6.428055 9.429499
## 102 Libya 26.335100 17.228331
## 103 Liechtenstein 47.141039 9.520935
## 104 Lithuania 55.169438 23.881275
## 105 Luxembourg 49.815273 6.129583
## 106 Madagascar 18.766947 46.869107
## 107 Malawi 13.254308 34.301525
## 108 Malaysia 4.210484 101.975766
## 109 Maldives 3.202778 73.220680
## 110 Mali 17.570692 3.996166
## 111 Malta 35.937496 14.375416
## 112 Marshall Islands 7.131474 171.184478
## 113 Mauritania 21.007890 10.940835
## 114 Mauritius 20.348404 57.552152
## 115 Mexico 23.634501 102.552784
## 116 Federated States of Micronesia 7.425554 150.550812
## 117 Monaco 43.738418 7.424616
## 118 Mongolia 46.862496 103.846656
## 119 Montenegro 42.708678 19.374390
## 120 Montserrat 16.742498 62.187366
## 121 Morocco 31.791702 7.092620
## 122 Mozambique 18.665695 35.529562
## 123 Myanmar 21.916221 95.955974
## 124 Namibia 22.957640 18.490410
## 125 Nauru 0.522778 166.931503
## 126 Nepal 28.394857 84.124008
## 127 Netherlands 52.132633 5.291266
## 128 New Zealand 40.900557 174.885971
## 129 Nicaragua 12.865416 85.207229
## 130 Niger 17.607789 8.081666
## 131 Nigeria 9.081999 8.675277
## 132 Niue 19.054445 169.867233
## 133 North Macedonia 41.608635 21.745275
## 134 Norway 60.472024 8.468946
## 135 Oman 21.473533 55.975413
## 136 Pakistan 30.375321 69.345116
## 137 Palau 7.514980 134.582520
## 138 Panama 8.537981 80.782127
## 139 Papua New Guinea 6.314993 143.955550
## 140 Paraguay 23.442503 58.443832
## 141 Peru 9.189967 75.015152
## 142 Philippines 12.879721 121.774017
## 143 Poland 51.919438 19.145136
## 144 Portugal 39.399872 8.224454
## 145 Qatar 25.354826 51.183884
## 146 South Korea 35.907757 127.766922
## 147 Moldova 47.411631 28.369885
## 148 Romania 45.943161 24.966760
## 149 Russia 61.524010 105.318756
## 150 Rwanda 1.940278 29.873888
## 151 Saint Kitts and Nevis 17.357822 62.782998
## 152 Saint Lucia 13.909444 60.978893
## 153 Saint Vincent and the Grenadines 12.984305 61.287228
## 154 Samoa 13.759029 172.104629
## 155 San Marino 43.942360 12.457777
## 156 S�������\xef\xbf 0.186360 6.613081
## 157 Saudi Arabia 23.885942 45.079162
## 158 Senegal 14.497401 14.452362
## 159 Serbia 44.016521 21.005859
## 160 Seychelles 4.679574 55.491977
## 161 Sierra Leone 8.460555 11.779889
## 162 Singapore 1.352083 103.819836
## 163 Slovakia 48.669026 19.699024
## 164 Slovenia 46.151241 14.995463
## 165 Solomon Islands 9.645710 160.156194
## 166 Somalia 5.152149 46.199616
## 167 South Africa 30.559482 22.937506
## 168 South Sudan 6.876992 31.306979
## 169 Spain 40.463667 3.749220
## 170 Sri Lanka 7.873054 80.771797
## 171 Palestinian National Authority 31.952162 35.233154
## 172 Sudan 12.862807 30.217636
## 173 Suriname 3.919305 56.027783
## 174 Sweden 60.128161 18.643501
## 175 Switzerland 46.818188 8.227512
## 176 Syria 34.802075 38.996815
## 177 Tajikistan 38.861034 71.276093
## 178 Thailand 15.870032 100.992541
## 179 East Timor 8.874217 125.727539
## 180 Togo 8.619543 0.824782
## 181 Tokelau 9.200200 171.848400
## 182 Tonga 21.178986 175.198242
## 183 Trinidad and Tobago 10.691803 61.222503
## 184 Tunisia 33.886917 9.537499
## 185 Turkey 38.963745 35.243322
## 186 Turkmenistan 38.969719 59.556278
## 187 Turks and Caicos Islands 21.694025 71.797928
## 188 Tuvalu 7.109535 177.649330
## 189 Uganda 1.373333 32.290275
## 190 Ukraine 48.379433 31.165580
## 191 United Arab Emirates 23.424076 53.847818
## 192 United Kingdom 55.378051 3.435973
## 193 Tanzania 6.369028 34.888822
## 194 United States 37.090240 95.712891
## 195 Uruguay 32.522779 55.765835
## 196 Uzbekistan 41.377491 64.585262
## 197 Vanuatu 15.376706 166.959158
## 198 Venezuela 6.423750 66.589730
## 199 Vietnam 14.058324 108.277199
## 200 Yemen 15.552727 48.516388
## 201 Zambia 13.133897 27.849332
## 202 Zimbabwe 19.015438 29.154857
## OOSR_Pre0Primary_Age_Male OOSR_Pre0Primary_Age_Female OOSR_Primary_Age_Male
## 1 0 0 0
## 2 4 2 6
## 3 0 0 0
## 4 0 0 0
## 5 31 39 0
## 6 14 0 0
## 7 14 4 4
## 8 2 2 0
## 9 52 50 9
## 10 13 14 0
## 11 0 0 0
## 12 32 19 10
## 13 0 0 0
## 14 31 28 2
## 15 0 0 0
## 16 6 10 1
## 17 0 4 1
## 18 3 2 1
## 19 18 16 1
## 20 15 16 3
## 21 58 59 5
## 22 9 8 5
## 23 72 73 0
## 24 79 78 12
## 25 0 1 1
## 26 9 2 4
## 27 17 18 0
## 28 19 20 13
## 29 81 81 21
## 30 52 50 9
## 31 19 19 6
## 32 48 44 9
## 33 56 57 4
## 34 0 0 0
## 35 0 0 0
## 36 85 87 17
## 37 8 8 1
## 38 0 0 0
## 39 3 1 3
## 40 71 70 18
## 41 71 70 15
## 42 3 0 2
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## 44 78 78 2
## 45 5 5 0
## 46 2 2 1
## 47 1 2 0
## 48 10 10 1
## 49 0 0 0
## 50 0 0 0
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## 53 21 7 4
## 54 7 6 4
## 55 8 3 0
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## 59 73 73 45
## 60 12 12 2
## 61 0 0 15
## 62 62 64 11
## 63 0 1 1
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## 65 0 0 0
## 66 0 0 0
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## 68 0 0 2
## 69 1 1 1
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## 71 6 5 2
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## 75 0 0 0
## 76 0 0 0
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## 85 0 0 0
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## 93 0 0 0
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## 102 0 0 0
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## 105 1 1 1
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## 107 0 0 0
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## 111 0 5 0
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## 113 0 0 25
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## 117 0 0 0
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## 120 19 14 15
## 121 31 39 2
## 122 0 0 1
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## 124 33 30 0
## 125 11 3 0
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## 127 1 0 1
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## 129 0 0 0
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## 131 0 0 0
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## 136 0 14 0
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## 139 28 29 4
## 140 31 30 0
## 141 1 1 0
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## 162 0 0 0
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## 164 5 6 1
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## 166 0 0 0
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## 168 78 81 58
## 169 5 5 3
## 170 0 0 2
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## 173 12 10 14
## 174 0 0 0
## 175 1 0 0
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## 177 87 88 1
## 178 1 1 0
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## 180 1 7 2
## 181 20 0 0
## 182 0 0 0
## 183 0 0 0
## 184 0 0 0
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## 186 0 0 0
## 187 19 0 0
## 188 13 9 13
## 189 0 0 6
## 190 0 0 9
## 191 0 0 8
## 192 3 0 1
## 193 45 42 15
## 194 12 8 1
## 195 2 1 3
## 196 53 55 0
## 197 38 38 8
## 198 14 14 10
## 199 0 0 0
## 200 96 96 10
## 201 0 0 17
## 202 60 58 0
## OOSR_Primary_Age_Female OOSR_Lower_Secondary_Age_Male
## 1 0 0
## 2 3 6
## 3 0 0
## 4 0 0
## 5 0 0
## 6 0 0
## 7 1 1
## 8 0 0
## 9 9 11
## 10 0 2
## 11 0 1
## 12 7 0
## 13 0 23
## 14 3 7
## 15 0 0
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## 17 2 1
## 18 0 1
## 19 1 9
## 20 10 27
## 21 2 18
## 22 5 13
## 23 0 0
## 24 10 0
## 25 1 2
## 26 3 8
## 27 0 0
## 28 13 12
## 29 22 48
## 30 6 36
## 31 7 14
## 32 9 12
## 33 13 33
## 34 0 0
## 35 0 0
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## 37 2 5
## 38 0 0
## 39 2 6
## 40 18 20
## 41 16 0
## 42 2 4
## 43 3 3
## 44 8 41
## 45 0 3
## 46 1 10
## 47 1 2
## 48 0 1
## 49 0 0
## 50 0 0
## 51 0 0
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## 53 3 3
## 54 4 6
## 55 0 6
## 56 0 3
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## 58 55 0
## 59 50 32
## 60 2 2
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## 63 1 0
## 64 1 1
## 65 0 1
## 66 0 0
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## 68 2 1
## 69 0 6
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## 71 1 3
## 72 0 0
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## 74 29 43
## 75 0 0
## 76 0 0
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## 78 0 0
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## 80 5 3
## 81 1 1
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## 83 8 19
## 84 0 3
## 85 0 0
## 86 0 0
## 87 0 0
## 88 3 2
## 89 0 19
## 90 0 0
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## 92 9 0
## 93 0 0
## 94 0 0
## 95 1 9
## 96 0 2
## 97 9 27
## 98 1 1
## 99 0 0
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## 101 21 17
## 102 0 0
## 103 2 1
## 104 0 0
## 105 1 4
## 106 0 31
## 107 0 19
## 108 0 15
## 109 1 0
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## 111 0 2
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## 114 1 6
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## 117 0 0
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## 124 0 0
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## 131 0 0
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## 140 0 0
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## 148 13 9
## 149 0 2
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## 151 0 0
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## 153 0 1
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## 157 3 0
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## 159 2 2
## 160 0 0
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## 162 0 0
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## 168 67 49
## 169 3 1
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## 174 0 0
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## 177 2 0
## 178 0 0
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## 181 0 0
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## 189 3 0
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## 191 5 2
## 192 1 2
## 193 12 0
## 194 1 3
## 195 3 1
## 196 2 0
## 197 7 2
## 198 10 15
## 199 0 0
## 200 21 23
## 201 13 0
## 202 0 0
## OOSR_Lower_Secondary_Age_Female OOSR_Upper_Secondary_Age_Male
## 1 0 44
## 2 1 21
## 3 0 0
## 4 0 0
## 5 0 0
## 6 0 0
## 7 2 14
## 8 0 15
## 9 9 16
## 10 3 10
## 11 0 10
## 12 0 0
## 13 21 29
## 14 0 18
## 15 0 41
## 16 3 7
## 17 1 6
## 18 1 1
## 19 11 38
## 20 43 46
## 21 6 33
## 22 14 22
## 23 0 22
## 24 0 0
## 25 3 16
## 26 7 24
## 27 0 19
## 28 13 10
## 29 44 67
## 30 31 67
## 31 13 29
## 32 14 0
## 33 40 50
## 34 0 6
## 35 0 0
## 36 70 71
## 37 6 5
## 38 0 0
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## 40 18 52
## 41 0 0
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## 43 1 7
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## 45 1 16
## 46 10 20
## 47 2 6
## 48 2 3
## 49 0 0
## 50 0 0
## 51 1 11
## 52 48 66
## 53 1 19
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## 55 3 20
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## 57 17 33
## 58 0 0
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## 60 0 1
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## 63 0 0
## 64 0 3
## 65 1 5
## 66 0 0
## 67 0 0
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## 69 4 12
## 70 8 28
## 71 5 4
## 72 0 8
## 73 35 57
## 74 60 59
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 0
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## 80 3 12
## 81 0 15
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## 83 14 23
## 84 6 25
## 85 0 0
## 86 0 2
## 87 0 0
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## 89 17 25
## 90 0 0
## 91 30 48
## 92 0 0
## 93 0 0
## 94 0 0
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## 96 3 30
## 97 28 42
## 98 1 5
## 99 0 0
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## 101 26 20
## 102 0 0
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## 109 0 0
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## 111 1 10
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## 124 0 0
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## 131 0 0
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## 140 0 33
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## 149 1 3
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## 157 3 3
## 158 0 0
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## 162 1 0
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## 164 1 2
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## 169 1 2
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## 174 0 1
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## 189 0 0
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## 193 0 84
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## 195 0 15
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## 197 4 41
## 198 13 28
## 199 0 0
## 200 34 46
## 201 0 0
## 202 0 45
## OOSR_Upper_Secondary_Age_Female Completion_Rate_Primary_Male
## 1 69 67
## 2 15 94
## 3 0 93
## 4 0 0
## 5 0 63
## 6 0 0
## 7 12 0
## 8 7 91
## 9 4 99
## 10 6 0
## 11 9 0
## 12 0 0
## 13 24 0
## 14 6 0
## 15 36 76
## 16 3 99
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## 18 2 0
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## 20 66 51
## 21 22 67
## 22 22 0
## 23 19 99
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## 30 62 46
## 31 24 0
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## 34 6 0
## 35 0 54
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## 37 5 96
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## 41 0 78
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## 43 5 98
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## 48 3 0
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## 50 0 67
## 51 9 0
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## 53 17 0
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## 55 18 98
## 56 24 91
## 57 35 84
## 58 0 0
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## 60 2 0
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## 62 75 47
## 63 0 0
## 64 5 0
## 65 4 0
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## 71 6 0
## 72 7 0
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## 74 76 52
## 75 0 29
## 76 0 96
## 77 0 49
## 78 0 0
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## 80 12 0
## 81 11 0
## 82 48 92
## 83 22 91
## 84 27 0
## 85 0 78
## 86 1 0
## 87 0 0
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## 89 22 99
## 90 0 0
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## 92 0 100
## 93 0 77
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## 97 46 84
## 98 4 0
## 99 0 0
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## 101 31 36
## 102 0 0
## 103 22 0
## 104 2 0
## 105 17 0
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## 107 76 43
## 108 32 0
## 109 0 0
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## 112 41 0
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## 116 0 0
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## 119 10 95
## 120 0 0
## 121 30 0
## 122 73 44
## 123 38 82
## 124 0 75
## 125 60 0
## 126 13 81
## 127 1 0
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## 129 0 0
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## 131 0 71
## 132 0 0
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## 136 0 64
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## 139 51 0
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## 143 4 0
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## 145 0 0
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## 149 3 0
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## 151 5 0
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## 180 66 83
## 181 30 0
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## 194 3 0
## 195 9 96
## 196 15 0
## 197 46 0
## 198 19 0
## 199 0 96
## 200 68 70
## 201 0 71
## 202 50 86
## Completion_Rate_Primary_Female Completion_Rate_Lower_Secondary_Male
## 1 40 49
## 2 96 98
## 3 93 49
## 4 0 0
## 5 57 42
## 6 0 0
## 7 0 0
## 8 94 70
## 9 99 95
## 10 0 0
## 11 0 0
## 12 0 0
## 13 0 0
## 14 0 0
## 15 89 59
## 16 99 98
## 17 100 100
## 18 0 0
## 19 96 55
## 20 44 25
## 21 71 41
## 22 0 0
## 23 100 97
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## 25 97 81
## 26 0 0
## 27 0 0
## 28 0 0
## 29 29 13
## 30 54 26
## 31 0 0
## 32 79 41
## 33 74 52
## 34 0 0
## 35 33 16
## 36 24 18
## 37 97 94
## 38 97 93
## 39 95 74
## 40 77 47
## 41 82 56
## 42 0 0
## 43 99 70
## 44 53 36
## 45 0 0
## 46 98 95
## 47 0 0
## 48 0 0
## 49 100 100
## 50 66 58
## 51 0 0
## 52 0 0
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## 56 92 79
## 57 89 73
## 58 0 0
## 59 0 0
## 60 0 0
## 61 77 47
## 62 48 19
## 63 0 0
## 64 0 0
## 65 0 0
## 66 75 32
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## 70 73 45
## 71 0 0
## 72 0 0
## 73 76 52
## 74 39 33
## 75 25 18
## 76 99 80
## 77 58 32
## 78 0 0
## 79 87 46
## 80 0 0
## 81 0 0
## 82 91 82
## 83 92 64
## 84 0 0
## 85 73 46
## 86 0 0
## 87 0 0
## 88 0 0
## 89 100 97
## 90 0 0
## 91 97 86
## 92 100 100
## 93 82 61
## 94 96 69
## 95 0 0
## 96 100 99
## 97 83 54
## 98 0 0
## 99 0 0
## 100 92 33
## 101 33 29
## 102 0 0
## 103 0 0
## 104 0 0
## 105 0 0
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## 108 0 0
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## 112 0 0
## 113 58 53
## 114 0 0
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## 116 0 0
## 117 0 0
## 118 98 87
## 119 98 93
## 120 0 0
## 121 0 0
## 122 39 15
## 123 84 45
## 124 86 48
## 125 0 0
## 126 83 71
## 127 0 0
## 128 0 0
## 129 0 0
## 130 24 10
## 131 71 66
## 132 0 0
## 133 100 93
## 134 0 0
## 135 0 0
## 136 55 55
## 137 0 0
## 138 96 75
## 139 0 0
## 140 96 81
## 141 95 83
## 142 95 75
## 143 0 0
## 144 0 0
## 145 0 0
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## 147 99 95
## 148 0 0
## 149 0 0
## 150 61 25
## 151 0 0
## 152 99 85
## 153 0 0
## 154 0 0
## 155 0 0
## 156 86 32
## 157 0 0
## 158 50 27
## 159 100 99
## 160 0 0
## 161 65 47
## 162 0 0
## 163 0 0
## 164 0 0
## 165 0 0
## 166 0 0
## 167 98 85
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## 169 0 0
## 170 99 94
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## 172 64 49
## 173 90 41
## 174 0 0
## 175 0 0
## 176 0 0
## 177 98 95
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## 179 85 63
## 180 76 55
## 181 0 0
## 182 99 65
## 183 0 0
## 184 97 68
## 185 98 96
## 186 100 99
## 187 0 0
## 188 0 0
## 189 43 27
## 190 99 100
## 191 0 0
## 192 0 0
## 193 84 31
## 194 0 0
## 195 98 66
## 196 0 0
## 197 0 0
## 198 0 0
## 199 97 81
## 200 55 55
## 201 73 54
## 202 92 45
## Completion_Rate_Lower_Secondary_Female Completion_Rate_Upper_Secondary_Male
## 1 26 32
## 2 97 76
## 3 65 22
## 4 0 0
## 5 32 24
## 6 0 0
## 7 0 0
## 8 79 46
## 9 99 69
## 10 0 0
## 11 0 0
## 12 0 0
## 13 0 0
## 14 0 0
## 15 71 32
## 16 98 91
## 17 100 91
## 18 0 0
## 19 66 48
## 20 13 12
## 21 38 25
## 22 0 0
## 23 97 92
## 24 92 55
## 25 89 65
## 26 0 0
## 27 0 0
## 28 0 0
## 29 6 6
## 30 19 4
## 31 0 0
## 32 39 20
## 33 43 26
## 34 0 0
## 35 8 8
## 36 10 15
## 37 97 83
## 38 93 63
## 39 81 69
## 40 45 24
## 41 45 28
## 42 0 0
## 43 76 56
## 44 22 17
## 45 0 0
## 46 98 85
## 47 0 0
## 48 0 0
## 49 100 100
## 50 52 36
## 51 0 0
## 52 0 0
## 53 0 0
## 54 89 48
## 55 92 78
## 56 81 43
## 57 74 34
## 58 0 0
## 59 0 0
## 60 0 0
## 61 54 31
## 62 22 11
## 63 0 0
## 64 0 0
## 65 0 0
## 66 33 14
## 67 48 33
## 68 98 79
## 69 0 0
## 70 50 12
## 71 0 0
## 72 0 0
## 73 45 27
## 74 20 22
## 75 16 14
## 76 88 49
## 77 38 17
## 78 0 0
## 79 52 29
## 80 0 0
## 81 0 0
## 82 79 46
## 83 59 40
## 84 0 0
## 85 47 45
## 86 0 0
## 87 0 0
## 88 0 0
## 89 97 80
## 90 0 0
## 91 88 49
## 92 100 95
## 93 69 44
## 94 88 13
## 95 0 0
## 96 99 89
## 97 53 32
## 98 0 0
## 99 0 0
## 100 55 27
## 101 23 18
## 102 0 0
## 103 0 0
## 104 0 0
## 105 0 0
## 106 27 16
## 107 21 15
## 108 0 0
## 109 0 0
## 110 25 23
## 111 0 0
## 112 0 0
## 113 40 31
## 114 0 0
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## 116 0 0
## 117 0 0
## 118 93 60
## 119 97 83
## 120 0 0
## 121 0 0
## 122 11 8
## 123 45 14
## 124 62 33
## 125 0 0
## 126 75 27
## 127 0 0
## 128 0 0
## 129 0 0
## 130 4 4
## 131 59 57
## 132 0 0
## 133 95 86
## 134 0 0
## 135 0 0
## 136 45 24
## 137 0 0
## 138 81 57
## 139 0 0
## 140 79 60
## 141 83 78
## 142 88 74
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 98 63
## 148 0 0
## 149 0 0
## 150 30 19
## 151 0 0
## 152 98 70
## 153 0 0
## 154 0 0
## 155 0 0
## 156 36 4
## 157 0 0
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## 159 99 71
## 160 0 0
## 161 42 27
## 162 0 0
## 163 0 0
## 164 0 0
## 165 0 0
## 166 0 0
## 167 91 45
## 168 10 12
## 169 0 0
## 170 96 32
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## 172 52 33
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## 174 0 0
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## 179 70 49
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## 183 0 0
## 184 80 40
## 185 92 51
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## 187 0 0
## 188 0 0
## 189 23 18
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## 191 0 0
## 192 0 0
## 193 27 32
## 194 0 0
## 195 73 48
## 196 0 0
## 197 0 0
## 198 0 0
## 199 87 50
## 200 39 37
## 201 50 33
## 202 53 17
## Completion_Rate_Upper_Secondary_Female Grade_2_3_Proficiency_Reading
## 1 14 22
## 2 80 0
## 3 37 0
## 4 0 0
## 5 15 0
## 6 0 0
## 7 0 0
## 8 53 76
## 9 79 0
## 10 0 94
## 11 0 0
## 12 0 0
## 13 0 0
## 14 0 69
## 15 27 47
## 16 97 0
## 17 94 0
## 18 0 0
## 19 51 0
## 20 5 9
## 21 18 0
## 22 0 0
## 23 92 0
## 24 66 0
## 25 75 80
## 26 0 0
## 27 0 0
## 28 0 0
## 29 2 36
## 30 3 79
## 31 0 0
## 32 20 0
## 33 21 30
## 34 0 96
## 35 6 0
## 36 6 18
## 37 88 94
## 38 67 82
## 39 78 79
## 40 32 0
## 41 19 38
## 42 0 0
## 43 60 89
## 44 15 17
## 45 0 0
## 46 86 0
## 47 0 0
## 48 0 97
## 49 100 94
## 50 27 0
## 51 0 97
## 52 0 0
## 53 0 0
## 54 66 44
## 55 79 74
## 56 41 0
## 57 36 0
## 58 0 0
## 59 0 0
## 60 0 0
## 61 33 0
## 62 14 0
## 63 0 0
## 64 0 98
## 65 0 0
## 66 14 0
## 67 28 5
## 68 83 86
## 69 0 0
## 70 9 0
## 71 0 0
## 72 0 0
## 73 25 68
## 74 13 0
## 75 8 0
## 76 64 0
## 77 16 0
## 78 0 0
## 79 35 70
## 80 0 0
## 81 0 0
## 82 40 47
## 83 37 0
## 84 0 66
## 85 43 0
## 86 0 98
## 87 0 91
## 88 0 98
## 89 83 0
## 90 0 0
## 91 63 0
## 92 96 0
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## 94 20 0
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## 97 31 0
## 98 0 99
## 99 0 0
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## 101 9 0
## 102 0 0
## 103 0 0
## 104 0 0
## 105 0 0
## 106 15 13
## 107 13 0
## 108 0 0
## 109 0 0
## 110 12 0
## 111 0 73
## 112 0 0
## 113 23 0
## 114 0 0
## 115 60 78
## 116 0 0
## 117 0 0
## 118 73 44
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## 120 0 0
## 121 0 36
## 122 5 0
## 123 19 0
## 124 39 0
## 125 0 0
## 126 28 0
## 127 0 99
## 128 0 90
## 129 0 61
## 130 1 9
## 131 44 0
## 132 0 0
## 133 79 0
## 134 0 99
## 135 0 59
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## 137 0 0
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## 139 0 0
## 140 67 61
## 141 72 80
## 142 83 0
## 143 0 98
## 144 0 97
## 145 0 66
## 146 0 0
## 147 71 0
## 148 0 0
## 149 0 0
## 150 16 0
## 151 0 0
## 152 90 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 8 0
## 157 0 63
## 158 10 29
## 159 81 0
## 160 0 0
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## 162 0 97
## 163 0 0
## 164 0 96
## 165 0 0
## 166 0 0
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## 168 4 0
## 169 0 97
## 170 43 0
## 171 73 0
## 172 28 0
## 173 26 30
## 174 0 98
## 175 0 0
## 176 0 0
## 177 63 0
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## 179 55 0
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## 182 56 0
## 183 0 80
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## 185 44 0
## 186 95 0
## 187 0 0
## 188 0 0
## 189 15 33
## 190 97 0
## 191 0 68
## 192 0 0
## 193 27 0
## 194 0 0
## 195 29 80
## 196 0 0
## 197 0 0
## 198 0 0
## 199 61 0
## 200 23 0
## 201 27 0
## 202 14 20
## Grade_2_3_Proficiency_Math Primary_End_Proficiency_Reading
## 1 25 13
## 2 0 0
## 3 0 0
## 4 0 0
## 5 0 0
## 6 0 0
## 7 0 0
## 8 71 46
## 9 0 0
## 10 70 0
## 11 0 98
## 12 0 81
## 13 0 0
## 14 40 0
## 15 34 44
## 16 0 0
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## 18 0 0
## 19 0 0
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## 21 0 0
## 22 0 0
## 23 0 0
## 24 0 0
## 25 71 53
## 26 0 0
## 27 0 0
## 28 0 95
## 29 59 21
## 30 97 7
## 31 0 0
## 32 0 50
## 33 57 24
## 34 69 0
## 35 0 0
## 36 48 3
## 37 90 70
## 38 85 0
## 39 64 55
## 40 0 0
## 41 72 17
## 42 0 0
## 43 84 68
## 44 33 22
## 45 0 0
## 46 0 0
## 47 74 0
## 48 78 0
## 49 0 0
## 50 0 0
## 51 80 0
## 52 0 0
## 53 0 0
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## 101 0 0
## 102 0 0
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## 104 0 97
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## 107 0 0
## 108 0 0
## 109 0 0
## 110 0 0
## 111 0 0
## 112 0 0
## 113 0 0
## 114 0 88
## 115 77 58
## 116 0 0
## 117 0 0
## 118 0 0
## 119 0 0
## 120 0 0
## 121 16 0
## 122 0 0
## 123 0 0
## 124 0 35
## 125 0 0
## 126 0 0
## 127 83 0
## 128 59 0
## 129 44 31
## 130 27 2
## 131 0 0
## 132 0 0
## 133 0 0
## 134 86 0
## 135 32 0
## 136 0 0
## 137 0 0
## 138 51 36
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## 142 0 0
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## 144 82 0
## 145 36 0
## 146 97 0
## 147 0 0
## 148 0 0
## 149 0 99
## 150 0 0
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 0 0
## 157 16 0
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## 159 0 0
## 160 0 0
## 161 0 0
## 162 93 0
## 163 0 93
## 164 75 0
## 165 0 0
## 166 0 0
## 167 0 0
## 168 0 0
## 169 67 0
## 170 0 0
## 171 0 0
## 172 0 0
## 173 0 0
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## 175 0 0
## 176 0 0
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## 179 0 0
## 180 40 16
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## 183 0 0
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## 185 0 0
## 186 0 0
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## 188 0 0
## 189 21 0
## 190 0 0
## 191 42 0
## 192 0 0
## 193 0 0
## 194 0 0
## 195 75 59
## 196 0 0
## 197 0 0
## 198 0 0
## 199 0 55
## 200 0 0
## 201 0 0
## 202 0 0
## Primary_End_Proficiency_Math Lower_Secondary_End_Proficiency_Reading
## 1 11 0
## 2 0 48
## 3 0 21
## 4 0 0
## 5 0 0
## 6 0 0
## 7 0 0
## 8 56 48
## 9 55 0
## 10 64 80
## 11 0 76
## 12 0 0
## 13 0 0
## 14 0 0
## 15 32 54
## 16 0 0
## 17 0 77
## 18 0 79
## 19 0 0
## 20 11 0
## 21 0 56
## 22 0 0
## 23 0 46
## 24 16 0
## 25 52 50
## 26 0 0
## 27 0 48
## 28 75 53
## 29 22 0
## 30 40 0
## 31 0 0
## 32 0 8
## 33 12 0
## 34 0 86
## 35 0 0
## 36 3 0
## 37 75 68
## 38 0 80
## 39 48 50
## 40 0 0
## 41 6 0
## 42 0 0
## 43 60 58
## 44 3 0
## 45 67 78
## 46 0 0
## 47 0 56
## 48 0 79
## 49 0 0
## 50 0 0
## 51 0 84
## 52 0 0
## 53 0 0
## 54 12 21
## 55 48 49
## 56 0 0
## 57 0 0
## 58 0 0
## 59 0 0
## 60 0 89
## 61 0 0
## 62 0 0
## 63 0 0
## 64 0 86
## 65 58 79
## 66 0 0
## 67 0 0
## 68 0 36
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## 70 0 0
## 71 0 69
## 72 0 0
## 73 34 30
## 74 0 0
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 0
## 79 32 30
## 80 75 75
## 81 0 74
## 82 44 0
## 83 0 30
## 84 0 0
## 85 0 0
## 86 0 88
## 87 0 69
## 88 0 77
## 89 0 0
## 90 0 83
## 91 0 59
## 92 80 36
## 93 0 0
## 94 0 0
## 95 0 0
## 96 35 0
## 97 0 0
## 98 0 78
## 99 0 32
## 100 0 0
## 101 0 0
## 102 0 0
## 103 0 0
## 104 81 76
## 105 0 71
## 106 5 0
## 107 0 0
## 108 0 54
## 109 0 0
## 110 0 0
## 111 0 64
## 112 0 0
## 113 0 0
## 114 78 0
## 115 69 55
## 116 0 0
## 117 0 0
## 118 0 0
## 119 0 56
## 120 0 0
## 121 0 27
## 122 0 0
## 123 0 0
## 124 6 0
## 125 0 0
## 126 0 0
## 127 0 76
## 128 0 81
## 129 20 0
## 130 1 0
## 131 0 0
## 132 0 0
## 133 0 45
## 134 70 81
## 135 0 0
## 136 0 0
## 137 0 0
## 138 23 36
## 139 0 0
## 140 23 32
## 141 53 46
## 142 0 19
## 143 0 85
## 144 0 80
## 145 0 49
## 146 0 85
## 147 0 57
## 148 0 59
## 149 89 78
## 150 0 0
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 0 0
## 157 0 48
## 158 29 9
## 159 72 62
## 160 0 0
## 161 0 0
## 162 0 89
## 163 65 69
## 164 0 82
## 165 0 0
## 166 0 0
## 167 13 0
## 168 0 0
## 169 0 84
## 170 0 0
## 171 0 0
## 172 0 0
## 173 0 0
## 174 0 82
## 175 0 76
## 176 0 0
## 177 0 0
## 178 0 40
## 179 0 0
## 180 20 0
## 181 0 0
## 182 0 0
## 183 0 58
## 184 0 28
## 185 57 74
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 0
## 190 0 74
## 191 0 57
## 192 0 83
## 193 0 0
## 194 0 81
## 195 68 58
## 196 0 0
## 197 0 0
## 198 0 0
## 199 51 86
## 200 0 0
## 201 0 5
## 202 0 0
## Lower_Secondary_End_Proficiency_Math Youth_15_24_Literacy_Rate_Male
## 1 0 74
## 2 58 99
## 3 19 98
## 4 0 0
## 5 0 0
## 6 0 0
## 7 0 0
## 8 31 99
## 9 50 0
## 10 78 0
## 11 79 0
## 12 0 0
## 13 0 0
## 14 39 100
## 15 57 94
## 16 0 0
## 17 71 100
## 18 80 0
## 19 0 0
## 20 0 70
## 21 0 0
## 22 0 0
## 23 42 0
## 24 0 0
## 25 32 99
## 26 0 0
## 27 52 100
## 28 56 0
## 29 0 62
## 30 0 0
## 31 0 0
## 32 10 0
## 33 0 88
## 34 84 0
## 35 0 48
## 36 0 0
## 37 28 0
## 38 79 100
## 39 35 99
## 40 0 78
## 41 0 85
## 42 0 0
## 43 40 99
## 44 0 64
## 45 69 0
## 46 0 0
## 47 63 0
## 48 80 0
## 49 0 0
## 50 0 0
## 51 85 0
## 52 0 0
## 53 0 0
## 54 9 0
## 55 29 0
## 56 21 0
## 57 0 98
## 58 0 0
## 59 0 94
## 60 90 0
## 61 0 94
## 62 0 0
## 63 0 0
## 64 85 0
## 65 79 0
## 66 0 88
## 67 0 0
## 68 39 0
## 69 79 0
## 70 0 93
## 71 64 99
## 72 0 0
## 73 11 0
## 74 0 70
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 0
## 79 15 95
## 80 67 0
## 81 79 0
## 82 0 93
## 83 28 100
## 84 34 0
## 85 0 0
## 86 84 0
## 87 66 0
## 88 62 100
## 89 0 0
## 90 89 0
## 91 41 99
## 92 51 100
## 93 0 88
## 94 0 0
## 95 18 99
## 96 0 100
## 97 0 0
## 98 83 100
## 99 35 100
## 100 0 0
## 101 0 0
## 102 0 0
## 103 0 0
## 104 74 0
## 105 73 0
## 106 0 82
## 107 0 0
## 108 59 97
## 109 0 0
## 110 0 58
## 111 62 99
## 112 0 0
## 113 0 0
## 114 0 99
## 115 44 99
## 116 0 0
## 117 0 0
## 118 0 98
## 119 54 99
## 120 0 0
## 121 14 98
## 122 0 0
## 123 0 0
## 124 0 94
## 125 0 0
## 126 0 94
## 127 84 0
## 128 78 0
## 129 0 0
## 130 0 51
## 131 0 82
## 132 0 0
## 133 39 0
## 134 81 0
## 135 23 98
## 136 0 0
## 137 0 0
## 138 19 99
## 139 0 0
## 140 8 98
## 141 40 99
## 142 19 0
## 143 85 0
## 144 77 100
## 145 36 0
## 146 85 0
## 147 50 0
## 148 53 99
## 149 78 100
## 150 0 84
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 99
## 155 0 100
## 156 0 98
## 157 11 0
## 158 8 0
## 159 60 0
## 160 0 99
## 161 0 71
## 162 94 100
## 163 75 0
## 164 84 0
## 165 0 0
## 166 0 0
## 167 0 0
## 168 0 48
## 169 75 100
## 170 0 99
## 171 0 99
## 172 0 73
## 173 0 99
## 174 81 0
## 175 83 0
## 176 0 0
## 177 0 0
## 178 47 98
## 179 0 82
## 180 0 0
## 181 0 0
## 182 0 99
## 183 48 0
## 184 25 0
## 185 42 0
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 89
## 190 64 0
## 191 46 0
## 192 81 0
## 193 0 0
## 194 73 0
## 195 49 99
## 196 0 100
## 197 0 96
## 198 0 0
## 199 81 98
## 200 0 0
## 201 2 93
## 202 0 0
## Youth_15_24_Literacy_Rate_Female Birth_Rate
## 1 56 32.49
## 2 100 11.78
## 3 97 24.28
## 4 0 7.20
## 5 0 40.73
## 6 0 0.00
## 7 0 15.33
## 8 100 17.02
## 9 0 13.99
## 10 0 12.60
## 11 0 9.70
## 12 0 14.00
## 13 0 13.97
## 14 99 13.99
## 15 96 18.18
## 16 0 10.65
## 17 100 9.90
## 18 0 10.30
## 19 0 20.79
## 20 52 36.22
## 21 0 17.26
## 22 0 21.75
## 23 0 8.11
## 24 0 24.82
## 25 99 13.92
## 26 0 0.00
## 27 100 14.90
## 28 0 8.90
## 29 55 37.93
## 30 0 39.01
## 31 0 19.49
## 32 0 22.46
## 33 82 35.39
## 34 0 10.10
## 35 29 35.35
## 36 0 42.17
## 37 0 12.43
## 38 100 10.90
## 39 99 14.88
## 40 78 31.88
## 41 79 32.86
## 42 0 0.00
## 43 100 13.97
## 44 53 35.74
## 45 0 9.00
## 46 0 10.17
## 47 0 10.46
## 48 0 10.70
## 49 0 13.89
## 50 0 41.18
## 51 0 10.60
## 52 0 21.47
## 53 0 12.00
## 54 0 19.51
## 55 0 19.72
## 56 0 26.38
## 57 98 18.25
## 58 0 33.24
## 59 93 30.30
## 60 0 10.90
## 61 97 0.00
## 62 0 32.34
## 63 0 21.28
## 64 0 8.60
## 65 0 11.30
## 66 91 31.61
## 67 0 38.54
## 68 0 13.47
## 69 0 9.50
## 70 92 29.41
## 71 99 8.10
## 72 0 16.47
## 73 0 24.56
## 74 43 36.36
## 75 0 35.13
## 76 0 19.97
## 77 0 24.35
## 78 0 0.00
## 79 98 21.60
## 80 0 9.60
## 81 0 12.00
## 82 90 17.86
## 83 100 18.07
## 84 0 18.78
## 85 0 29.08
## 86 0 12.50
## 87 0 20.80
## 88 100 7.30
## 89 0 16.10
## 90 0 7.40
## 91 99 21.98
## 92 100 21.77
## 93 88 28.75
## 94 0 27.89
## 95 100 13.94
## 96 100 27.10
## 97 0 23.55
## 98 100 10.00
## 99 100 17.55
## 100 0 26.81
## 101 0 33.04
## 102 0 18.83
## 103 0 9.90
## 104 0 10.00
## 105 0 10.30
## 106 81 32.66
## 107 0 34.12
## 108 97 16.75
## 109 0 14.20
## 110 43 41.54
## 111 100 9.20
## 112 0 29.03
## 113 0 33.69
## 114 99 10.20
## 115 99 17.60
## 116 0 22.82
## 117 0 5.90
## 118 99 24.13
## 119 99 11.73
## 120 0 0.00
## 121 97 18.94
## 122 0 37.52
## 123 0 17.55
## 124 96 28.64
## 125 0 0.00
## 126 91 19.89
## 127 0 9.70
## 128 0 11.98
## 129 0 20.64
## 130 36 46.08
## 131 68 37.91
## 132 0 0.00
## 133 0 0.00
## 134 0 10.40
## 135 99 19.19
## 136 0 28.25
## 137 0 14.00
## 138 99 18.98
## 139 0 27.07
## 140 99 20.57
## 141 99 17.95
## 142 0 20.55
## 143 0 10.20
## 144 100 8.50
## 145 0 9.54
## 146 0 6.40
## 147 0 10.10
## 148 99 9.60
## 149 100 11.50
## 150 89 31.70
## 151 0 12.60
## 152 0 12.00
## 153 0 14.24
## 154 99 24.38
## 155 100 6.80
## 156 98 31.54
## 157 0 17.80
## 158 0 34.52
## 159 0 9.20
## 160 100 17.10
## 161 63 33.41
## 162 100 8.80
## 163 0 10.60
## 164 0 9.40
## 165 0 32.44
## 166 0 41.75
## 167 0 20.51
## 168 47 35.01
## 169 100 7.90
## 170 99 15.83
## 171 99 0.00
## 172 73 32.18
## 173 98 18.54
## 174 0 11.40
## 175 0 10.00
## 176 0 23.69
## 177 0 30.76
## 178 99 10.34
## 179 85 29.42
## 180 0 33.11
## 181 0 0.00
## 182 100 24.30
## 183 0 12.94
## 184 0 17.56
## 185 0 16.03
## 186 0 23.83
## 187 0 0.00
## 188 0 0.00
## 189 90 38.14
## 190 0 8.70
## 191 0 10.33
## 192 0 11.00
## 193 0 36.70
## 194 0 11.60
## 195 99 13.86
## 196 100 23.30
## 197 97 29.60
## 198 0 17.88
## 199 98 16.75
## 200 0 30.45
## 201 92 36.19
## 202 0 30.68
## Gross_Primary_Education_Enrollment Gross_Tertiary_Education_Enrollment
## 1 104.0 9.7
## 2 107.0 55.0
## 3 109.9 51.4
## 4 106.4 0.0
## 5 113.5 9.3
## 6 0.0 0.0
## 7 105.0 24.8
## 8 109.7 90.0
## 9 92.7 54.6
## 10 100.3 113.1
## 11 103.1 85.1
## 12 99.7 27.7
## 13 81.4 15.1
## 14 99.4 50.5
## 15 116.5 20.6
## 16 99.4 65.4
## 17 100.5 87.4
## 18 103.9 79.7
## 19 111.7 24.7
## 20 122.0 12.3
## 21 100.1 15.6
## 22 98.2 0.0
## 23 0.0 23.3
## 24 103.2 24.9
## 25 115.4 51.3
## 26 0.0 0.0
## 27 103.2 31.4
## 28 89.3 71.0
## 29 96.1 6.5
## 30 121.4 6.1
## 31 104.0 23.6
## 32 107.4 13.7
## 33 103.4 12.8
## 34 100.9 68.9
## 35 102.0 3.0
## 36 86.8 3.3
## 37 101.4 88.5
## 38 100.2 50.6
## 39 114.5 55.3
## 40 99.5 9.0
## 41 106.6 12.7
## 42 0.0 0.0
## 43 113.3 55.2
## 44 99.8 9.3
## 45 96.5 67.9
## 46 101.9 41.4
## 47 99.3 75.9
## 48 100.7 64.1
## 49 112.8 27.0
## 50 108.0 6.6
## 51 101.3 80.6
## 52 75.3 5.3
## 53 114.7 7.2
## 54 105.7 59.9
## 55 103.3 44.9
## 56 106.3 35.2
## 57 94.8 29.4
## 58 61.8 1.9
## 59 68.4 3.4
## 60 97.2 69.6
## 61 0.0 0.0
## 62 101.0 8.1
## 63 106.4 16.1
## 64 100.2 88.2
## 65 102.5 65.6
## 66 139.9 8.3
## 67 98.0 2.7
## 68 98.6 63.9
## 69 104.0 70.2
## 70 104.8 15.7
## 71 99.6 136.6
## 72 106.9 104.6
## 73 101.9 21.8
## 74 91.5 11.6
## 75 118.7 2.6
## 76 97.8 11.6
## 77 113.6 1.1
## 78 0.0 0.0
## 79 91.5 26.2
## 80 100.8 48.5
## 81 100.4 71.8
## 82 113.0 28.1
## 83 106.4 36.3
## 84 110.7 68.1
## 85 108.7 16.2
## 86 100.9 77.8
## 87 104.9 63.4
## 88 101.9 61.9
## 89 91.0 27.1
## 90 98.8 63.2
## 91 81.5 34.4
## 92 104.4 61.7
## 93 103.2 11.5
## 94 101.3 0.0
## 95 92.4 54.4
## 96 107.6 41.3
## 97 102.4 15.0
## 98 99.4 88.1
## 99 95.1 26.3
## 100 120.9 10.2
## 101 85.1 11.9
## 102 109.0 60.5
## 103 104.7 35.6
## 104 103.9 72.4
## 105 102.3 19.2
## 106 142.5 5.4
## 107 142.5 0.8
## 108 105.3 45.1
## 109 97.1 31.2
## 110 75.6 4.5
## 111 105.0 54.3
## 112 84.7 23.7
## 113 99.9 5.0
## 114 101.1 40.6
## 115 105.8 40.2
## 116 97.2 14.1
## 117 0.0 0.0
## 118 104.0 65.6
## 119 100.0 56.1
## 120 0.0 0.0
## 121 113.9 35.9
## 122 112.6 7.3
## 123 112.3 18.8
## 124 124.2 22.9
## 125 0.0 0.0
## 126 142.1 12.4
## 127 104.2 85.0
## 128 100.0 82.0
## 129 120.6 17.4
## 130 74.7 4.4
## 131 84.7 10.2
## 132 0.0 0.0
## 133 0.0 0.0
## 134 100.3 82.0
## 135 103.4 38.0
## 136 94.3 9.0
## 137 112.6 54.7
## 138 94.4 47.8
## 139 108.5 1.8
## 140 104.4 34.6
## 141 106.9 70.7
## 142 107.5 35.5
## 143 100.0 67.8
## 144 106.2 63.9
## 145 103.8 17.9
## 146 98.1 94.3
## 147 90.6 39.8
## 148 85.2 49.4
## 149 102.6 81.9
## 150 133.0 6.7
## 151 108.7 86.7
## 152 102.6 14.1
## 153 113.4 23.7
## 154 110.5 7.6
## 155 108.1 42.5
## 156 106.8 13.4
## 157 99.8 68.0
## 158 81.0 12.8
## 159 100.3 67.2
## 160 100.4 17.1
## 161 112.8 2.0
## 162 100.6 84.8
## 163 98.7 46.6
## 164 100.4 78.6
## 165 106.2 0.0
## 166 23.4 2.5
## 167 100.9 22.4
## 168 73.0 0.0
## 169 102.7 88.9
## 170 100.2 19.6
## 171 0.0 0.0
## 172 76.8 16.9
## 173 108.8 12.6
## 174 126.6 67.0
## 175 105.2 59.6
## 176 81.7 40.1
## 177 100.9 31.3
## 178 99.8 49.3
## 179 115.3 17.8
## 180 123.8 14.5
## 181 0.0 0.0
## 182 116.3 6.4
## 183 106.2 12.0
## 184 115.4 31.7
## 185 93.2 23.9
## 186 88.4 8.0
## 187 0.0 0.0
## 188 0.0 0.0
## 189 102.7 4.8
## 190 99.0 82.7
## 191 108.4 36.8
## 192 101.2 60.0
## 193 94.2 4.0
## 194 101.8 88.2
## 195 108.5 63.1
## 196 104.2 10.1
## 197 109.3 4.7
## 198 97.2 79.3
## 199 110.6 28.5
## 200 93.6 10.2
## 201 98.7 4.1
## 202 109.9 10.0
## Unemployment_Rate
## 1 11.12
## 2 12.33
## 3 11.70
## 4 0.00
## 5 6.89
## 6 0.00
## 7 0.00
## 8 9.79
## 9 16.99
## 10 5.27
## 11 4.67
## 12 5.51
## 13 10.36
## 14 0.71
## 15 4.19
## 16 10.33
## 17 4.59
## 18 5.59
## 19 6.41
## 20 2.23
## 21 2.34
## 22 3.50
## 23 18.42
## 24 18.19
## 25 12.08
## 26 0.00
## 27 9.12
## 28 4.34
## 29 6.26
## 30 1.43
## 31 12.25
## 32 0.68
## 33 3.38
## 34 5.56
## 35 3.68
## 36 1.89
## 37 7.09
## 38 4.32
## 39 9.71
## 40 4.34
## 41 9.47
## 42 0.00
## 43 11.85
## 44 3.32
## 45 6.93
## 46 1.64
## 47 7.27
## 48 1.93
## 49 2.74
## 50 4.24
## 51 4.91
## 52 10.30
## 53 0.00
## 54 5.84
## 55 3.97
## 56 10.76
## 57 4.11
## 58 6.43
## 59 5.14
## 60 5.11
## 61 0.00
## 62 2.08
## 63 4.10
## 64 6.59
## 65 8.43
## 66 20.00
## 67 9.06
## 68 14.40
## 69 3.04
## 70 4.33
## 71 17.24
## 72 0.00
## 73 2.46
## 74 4.30
## 75 2.47
## 76 11.85
## 77 13.78
## 78 0.00
## 79 5.39
## 80 3.40
## 81 2.84
## 82 5.36
## 83 4.69
## 84 11.38
## 85 12.82
## 86 4.93
## 87 3.86
## 88 9.89
## 89 8.00
## 90 2.29
## 91 14.72
## 92 4.59
## 93 2.64
## 94 0.00
## 95 2.18
## 96 6.33
## 97 0.63
## 98 6.52
## 99 6.23
## 100 23.41
## 101 2.81
## 102 18.56
## 103 0.00
## 104 6.35
## 105 5.36
## 106 1.76
## 107 5.65
## 108 3.32
## 109 6.14
## 110 7.22
## 111 3.47
## 112 0.00
## 113 9.55
## 114 6.67
## 115 3.42
## 116 0.00
## 117 0.00
## 118 6.01
## 119 14.88
## 120 0.00
## 121 9.02
## 122 3.24
## 123 1.58
## 124 20.27
## 125 0.00
## 126 1.41
## 127 3.20
## 128 4.07
## 129 6.84
## 130 0.47
## 131 8.10
## 132 0.00
## 133 0.00
## 134 3.35
## 135 2.67
## 136 4.45
## 137 0.00
## 138 3.90
## 139 2.46
## 140 4.81
## 141 3.31
## 142 2.15
## 143 3.47
## 144 6.33
## 145 0.09
## 146 4.15
## 147 5.47
## 148 3.98
## 149 4.59
## 150 1.03
## 151 0.00
## 152 20.71
## 153 18.88
## 154 8.36
## 155 0.00
## 156 13.37
## 157 5.93
## 158 6.60
## 159 12.69
## 160 0.00
## 161 4.43
## 162 4.11
## 163 5.56
## 164 4.20
## 165 0.58
## 166 11.35
## 167 28.18
## 168 12.24
## 169 13.96
## 170 4.20
## 171 0.00
## 172 16.53
## 173 7.33
## 174 6.48
## 175 4.58
## 176 8.37
## 177 11.02
## 178 0.75
## 179 4.55
## 180 2.04
## 181 0.00
## 182 1.12
## 183 2.69
## 184 16.02
## 185 13.49
## 186 3.91
## 187 0.00
## 188 0.00
## 189 1.84
## 190 8.88
## 191 2.35
## 192 3.85
## 193 1.98
## 194 14.70
## 195 8.73
## 196 5.92
## 197 4.39
## 198 8.80
## 199 2.01
## 200 12.91
## 201 11.43
## 202 4.95
nrow(edu)
## [1] 202
ncol(edu)
## [1] 29
dim(edu)
## [1] 202 29
summary(edu)
## Countries.and.areas Latitude Longitude
## Length:202 Min. : 0.02356 Min. : 0.8248
## Class :character 1st Qu.:11.68506 1st Qu.: 18.6657
## Mode :character Median :21.20786 Median : 43.5181
## Mean :25.08142 Mean : 55.1669
## 3rd Qu.:39.90179 3rd Qu.: 77.6850
## Max. :64.96305 Max. :178.0650
## OOSR_Pre0Primary_Age_Male OOSR_Pre0Primary_Age_Female OOSR_Primary_Age_Male
## Min. : 0.00 Min. : 0.00 Min. : 0.000
## 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 0.000
## Median : 9.00 Median : 7.00 Median : 1.000
## Mean :19.66 Mean :19.28 Mean : 5.282
## 3rd Qu.:31.00 3rd Qu.:30.00 3rd Qu.: 6.000
## Max. :96.00 Max. :96.00 Max. :58.000
## OOSR_Primary_Age_Female OOSR_Lower_Secondary_Age_Male
## Min. : 0.000 Min. : 0.000
## 1st Qu.: 0.000 1st Qu.: 0.000
## Median : 1.000 Median : 2.000
## Mean : 5.569 Mean : 8.708
## 3rd Qu.: 6.750 3rd Qu.:12.750
## Max. :67.000 Max. :61.000
## OOSR_Lower_Secondary_Age_Female OOSR_Upper_Secondary_Age_Male
## Min. : 0.000 Min. : 0.00
## 1st Qu.: 0.000 1st Qu.: 0.25
## Median : 2.000 Median :15.00
## Mean : 8.832 Mean :20.29
## 3rd Qu.:10.750 3rd Qu.:32.75
## Max. :70.000 Max. :84.00
## OOSR_Upper_Secondary_Age_Female Completion_Rate_Primary_Male
## Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.25 1st Qu.: 0.00
## Median :12.00 Median : 37.50
## Mean :19.98 Mean : 41.72
## 3rd Qu.:30.00 3rd Qu.: 87.50
## Max. :89.00 Max. :100.00
## Completion_Rate_Primary_Female Completion_Rate_Lower_Secondary_Male
## Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.00 1st Qu.: 0.00
## Median : 33.00 Median : 18.50
## Mean : 42.13 Mean : 32.74
## 3rd Qu.: 92.00 3rd Qu.: 64.75
## Max. :100.00 Max. :100.00
## Completion_Rate_Lower_Secondary_Female Completion_Rate_Upper_Secondary_Male
## Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.00 1st Qu.: 0.00
## Median : 12.00 Median : 9.50
## Mean : 33.17 Mean : 22.68
## 3rd Qu.: 70.75 3rd Qu.: 40.00
## Max. :100.00 Max. :100.00
## Completion_Rate_Upper_Secondary_Female Grade_2_3_Proficiency_Reading
## Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.00 1st Qu.: 0.00
## Median : 5.50 Median : 0.00
## Mean : 23.07 Mean :21.98
## 3rd Qu.: 38.75 3rd Qu.:38.75
## Max. :100.00 Max. :99.00
## Grade_2_3_Proficiency_Math Primary_End_Proficiency_Reading
## Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.00 1st Qu.: 0.00
## Median : 0.00 Median : 0.00
## Mean :17.44 Mean :10.72
## 3rd Qu.:32.75 3rd Qu.: 0.00
## Max. :97.00 Max. :99.00
## Primary_End_Proficiency_Math Lower_Secondary_End_Proficiency_Reading
## Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.00 1st Qu.: 0.00
## Median : 0.00 Median : 0.00
## Mean :10.38 Mean :25.79
## 3rd Qu.: 0.00 3rd Qu.:56.75
## Max. :89.00 Max. :89.00
## Lower_Secondary_End_Proficiency_Math Youth_15_24_Literacy_Rate_Male
## Min. : 0.00 Min. : 0.0
## 1st Qu.: 0.00 1st Qu.: 0.0
## Median : 0.00 Median : 0.0
## Mean :24.45 Mean : 35.8
## 3rd Qu.:50.75 3rd Qu.: 94.0
## Max. :94.00 Max. :100.0
## Youth_15_24_Literacy_Rate_Female Birth_Rate
## Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.00 1st Qu.:10.36
## Median : 0.00 Median :17.55
## Mean : 35.08 Mean :18.91
## 3rd Qu.: 96.75 3rd Qu.:27.69
## Max. :100.00 Max. :46.08
## Gross_Primary_Education_Enrollment Gross_Tertiary_Education_Enrollment
## Min. : 0.00 Min. : 0.00
## 1st Qu.: 97.20 1st Qu.: 9.00
## Median :101.85 Median : 24.85
## Mean : 94.94 Mean : 34.39
## 3rd Qu.:107.30 3rd Qu.: 59.98
## Max. :142.50 Max. :136.60
## Unemployment_Rate
## Min. : 0.000
## 1st Qu.: 2.303
## Median : 4.585
## Mean : 6.000
## 3rd Qu.: 8.655
## Max. :28.180
str(edu)
## 'data.frame': 202 obs. of 29 variables:
## $ Countries.and.areas : chr "Afghanistan" "Albania" "Algeria" "Andorra" ...
## $ Latitude : num 33.9 41.2 28 42.5 11.2 ...
## $ Longitude : num 67.71 20.17 1.66 1.52 17.87 ...
## $ OOSR_Pre0Primary_Age_Male : int 0 4 0 0 31 14 14 2 52 13 ...
## $ OOSR_Pre0Primary_Age_Female : int 0 2 0 0 39 0 4 2 50 14 ...
## $ OOSR_Primary_Age_Male : int 0 6 0 0 0 0 4 0 9 0 ...
## $ OOSR_Primary_Age_Female : int 0 3 0 0 0 0 1 0 9 0 ...
## $ OOSR_Lower_Secondary_Age_Male : int 0 6 0 0 0 0 1 0 11 2 ...
## $ OOSR_Lower_Secondary_Age_Female : int 0 1 0 0 0 0 2 0 9 3 ...
## $ OOSR_Upper_Secondary_Age_Male : int 44 21 0 0 0 0 14 15 16 10 ...
## $ OOSR_Upper_Secondary_Age_Female : int 69 15 0 0 0 0 12 7 4 6 ...
## $ Completion_Rate_Primary_Male : int 67 94 93 0 63 0 0 91 99 0 ...
## $ Completion_Rate_Primary_Female : int 40 96 93 0 57 0 0 94 99 0 ...
## $ Completion_Rate_Lower_Secondary_Male : int 49 98 49 0 42 0 0 70 95 0 ...
## $ Completion_Rate_Lower_Secondary_Female : int 26 97 65 0 32 0 0 79 99 0 ...
## $ Completion_Rate_Upper_Secondary_Male : int 32 76 22 0 24 0 0 46 69 0 ...
## $ Completion_Rate_Upper_Secondary_Female : int 14 80 37 0 15 0 0 53 79 0 ...
## $ Grade_2_3_Proficiency_Reading : int 22 0 0 0 0 0 0 76 0 94 ...
## $ Grade_2_3_Proficiency_Math : int 25 0 0 0 0 0 0 71 0 70 ...
## $ Primary_End_Proficiency_Reading : int 13 0 0 0 0 0 0 46 0 0 ...
## $ Primary_End_Proficiency_Math : int 11 0 0 0 0 0 0 56 55 64 ...
## $ Lower_Secondary_End_Proficiency_Reading: int 0 48 21 0 0 0 0 48 0 80 ...
## $ Lower_Secondary_End_Proficiency_Math : int 0 58 19 0 0 0 0 31 50 78 ...
## $ Youth_15_24_Literacy_Rate_Male : int 74 99 98 0 0 0 0 99 0 0 ...
## $ Youth_15_24_Literacy_Rate_Female : int 56 100 97 0 0 0 0 100 0 0 ...
## $ Birth_Rate : num 32.5 11.8 24.3 7.2 40.7 ...
## $ Gross_Primary_Education_Enrollment : num 104 107 110 106 114 ...
## $ Gross_Tertiary_Education_Enrollment : num 9.7 55 51.4 0 9.3 ...
## $ Unemployment_Rate : num 11.12 12.33 11.7 0 6.89 ...
#memfilter data 0 dan NA dari kolom Unemployment_Rate
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
world.edu <- edu %>%
filter(!is.na(Unemployment_Rate), Unemployment_Rate != 0)
world.edu
## Countries.and.areas Latitude Longitude
## 1 Afghanistan 33.939110 67.709953
## 2 Albania 41.153332 20.168331
## 3 Algeria 28.033886 1.659626
## 4 Angola 11.202692 17.873887
## 5 Argentina 38.416097 63.616672
## 6 Armenia 40.069099 45.038189
## 7 Australia 25.274398 133.775136
## 8 Austria 47.516231 14.550072
## 9 Azerbaijan 40.143105 47.576927
## 10 The Bahamas 25.034280 77.396280
## 11 Bahrain 26.066700 50.557700
## 12 Bangladesh 23.684994 90.356331
## 13 Barbados 13.193887 59.543198
## 14 Belarus 53.709807 27.953389
## 15 Belgium 50.503887 4.469936
## 16 Belize 17.189877 88.497650
## 17 Benin 9.307690 2.315834
## 18 Bhutan 27.514162 90.433601
## 19 Bolivia 16.290154 63.588653
## 20 Bosnia and Herzegovina 43.915886 17.679076
## 21 Botswana 22.328474 24.684866
## 22 Brazil 14.235004 51.925280
## 23 Brunei 4.535277 114.727669
## 24 Bulgaria 42.733883 25.485830
## 25 Burkina Faso 12.238333 1.561593
## 26 Burundi 3.373056 29.918886
## 27 Cape Verde 16.538800 23.041800
## 28 Cambodia 12.565679 104.990963
## 29 Cameroon 7.369722 12.354722
## 30 Canada 56.130366 106.346771
## 31 Central African Republic 6.611111 20.939444
## 32 Chad 15.454166 18.732207
## 33 Chile 35.675147 71.542969
## 34 China 35.861660 104.195397
## 35 Colombia 4.570868 74.297333
## 36 Comoros 11.645500 43.333300
## 37 Republic of the Congo 0.228021 15.827659
## 38 Costa Rica 9.748917 83.753428
## 39 Ivory Coast 7.539989 5.547080
## 40 Croatia 45.100000 15.200000
## 41 Cuba 21.521757 77.781167
## 42 Cyprus 35.126413 33.429859
## 43 Czech Republic 49.817492 15.472962
## 44 North Korea 40.339852 127.510093
## 45 Democratic Republic of the Congo 4.038333 21.758664
## 46 Denmark 56.263920 9.501785
## 47 Djibouti 11.825138 42.590275
## 48 Dominican Republic 18.735693 70.162651
## 49 Ecuador 1.831239 78.183406
## 50 Egypt 26.820553 30.802498
## 51 El Salvador 13.794185 88.896530
## 52 Equatorial Guinea 1.650801 10.267895
## 53 Eritrea 15.179384 39.782334
## 54 Estonia 58.595272 25.013607
## 55 Ethiopia 9.145000 40.489673
## 56 Fiji 17.713371 178.065032
## 57 Finland 61.924110 25.748151
## 58 France 46.227638 2.213749
## 59 Gabon 0.803689 11.609444
## 60 The Gambia 13.443182 15.310139
## 61 Georgia 42.315407 43.356892
## 62 Germany 51.165691 10.451526
## 63 Ghana 7.946527 1.023194
## 64 Greece 39.074208 21.824312
## 65 Guatemala 15.783471 90.230759
## 66 Guinea 9.945587 9.696645
## 67 Guinea0Bissau 11.803749 15.180413
## 68 Guyana 4.860416 58.930180
## 69 Haiti 18.971187 72.285215
## 70 Honduras 15.199999 86.241905
## 71 Hungary 47.162494 19.503304
## 72 Iceland 64.963051 19.020835
## 73 India 20.593684 78.962880
## 74 Indonesia 0.789275 113.921327
## 75 Iran 32.427908 53.688046
## 76 Iraq 33.223191 43.679291
## 77 Republic of Ireland 53.412910 8.243890
## 78 Israel 31.046051 34.851612
## 79 Italy 41.871940 12.567380
## 80 Jamaica 18.109581 77.297508
## 81 Japan 36.204824 138.252924
## 82 Jordan 31.302848 36.786839
## 83 Kazakhstan 48.019573 66.923684
## 84 Kenya 0.023559 37.906193
## 85 Kuwait 29.311660 47.481766
## 86 Kyrgyzstan 41.204380 74.766098
## 87 Laos 19.856270 102.495496
## 88 Latvia 56.879635 24.603189
## 89 Lebanon 33.854721 35.862285
## 90 Lesotho 29.609988 28.233608
## 91 Liberia 6.428055 9.429499
## 92 Libya 26.335100 17.228331
## 93 Lithuania 55.169438 23.881275
## 94 Luxembourg 49.815273 6.129583
## 95 Madagascar 18.766947 46.869107
## 96 Malawi 13.254308 34.301525
## 97 Malaysia 4.210484 101.975766
## 98 Maldives 3.202778 73.220680
## 99 Mali 17.570692 3.996166
## 100 Malta 35.937496 14.375416
## 101 Mauritania 21.007890 10.940835
## 102 Mauritius 20.348404 57.552152
## 103 Mexico 23.634501 102.552784
## 104 Mongolia 46.862496 103.846656
## 105 Montenegro 42.708678 19.374390
## 106 Morocco 31.791702 7.092620
## 107 Mozambique 18.665695 35.529562
## 108 Myanmar 21.916221 95.955974
## 109 Namibia 22.957640 18.490410
## 110 Nepal 28.394857 84.124008
## 111 Netherlands 52.132633 5.291266
## 112 New Zealand 40.900557 174.885971
## 113 Nicaragua 12.865416 85.207229
## 114 Niger 17.607789 8.081666
## 115 Nigeria 9.081999 8.675277
## 116 Norway 60.472024 8.468946
## 117 Oman 21.473533 55.975413
## 118 Pakistan 30.375321 69.345116
## 119 Panama 8.537981 80.782127
## 120 Papua New Guinea 6.314993 143.955550
## 121 Paraguay 23.442503 58.443832
## 122 Peru 9.189967 75.015152
## 123 Philippines 12.879721 121.774017
## 124 Poland 51.919438 19.145136
## 125 Portugal 39.399872 8.224454
## 126 Qatar 25.354826 51.183884
## 127 South Korea 35.907757 127.766922
## 128 Moldova 47.411631 28.369885
## 129 Romania 45.943161 24.966760
## 130 Russia 61.524010 105.318756
## 131 Rwanda 1.940278 29.873888
## 132 Saint Lucia 13.909444 60.978893
## 133 Saint Vincent and the Grenadines 12.984305 61.287228
## 134 Samoa 13.759029 172.104629
## 135 S�������\xef\xbf 0.186360 6.613081
## 136 Saudi Arabia 23.885942 45.079162
## 137 Senegal 14.497401 14.452362
## 138 Serbia 44.016521 21.005859
## 139 Sierra Leone 8.460555 11.779889
## 140 Singapore 1.352083 103.819836
## 141 Slovakia 48.669026 19.699024
## 142 Slovenia 46.151241 14.995463
## 143 Solomon Islands 9.645710 160.156194
## 144 Somalia 5.152149 46.199616
## 145 South Africa 30.559482 22.937506
## 146 South Sudan 6.876992 31.306979
## 147 Spain 40.463667 3.749220
## 148 Sri Lanka 7.873054 80.771797
## 149 Sudan 12.862807 30.217636
## 150 Suriname 3.919305 56.027783
## 151 Sweden 60.128161 18.643501
## 152 Switzerland 46.818188 8.227512
## 153 Syria 34.802075 38.996815
## 154 Tajikistan 38.861034 71.276093
## 155 Thailand 15.870032 100.992541
## 156 East Timor 8.874217 125.727539
## 157 Togo 8.619543 0.824782
## 158 Tonga 21.178986 175.198242
## 159 Trinidad and Tobago 10.691803 61.222503
## 160 Tunisia 33.886917 9.537499
## 161 Turkey 38.963745 35.243322
## 162 Turkmenistan 38.969719 59.556278
## 163 Uganda 1.373333 32.290275
## 164 Ukraine 48.379433 31.165580
## 165 United Arab Emirates 23.424076 53.847818
## 166 United Kingdom 55.378051 3.435973
## 167 Tanzania 6.369028 34.888822
## 168 United States 37.090240 95.712891
## 169 Uruguay 32.522779 55.765835
## 170 Uzbekistan 41.377491 64.585262
## 171 Vanuatu 15.376706 166.959158
## 172 Venezuela 6.423750 66.589730
## 173 Vietnam 14.058324 108.277199
## 174 Yemen 15.552727 48.516388
## 175 Zambia 13.133897 27.849332
## 176 Zimbabwe 19.015438 29.154857
## OOSR_Pre0Primary_Age_Male OOSR_Pre0Primary_Age_Female OOSR_Primary_Age_Male
## 1 0 0 0
## 2 4 2 6
## 3 0 0 0
## 4 31 39 0
## 5 2 2 0
## 6 52 50 9
## 7 13 14 0
## 8 0 0 0
## 9 32 19 10
## 10 0 0 0
## 11 31 28 2
## 12 0 0 0
## 13 6 10 1
## 14 0 4 1
## 15 3 2 1
## 16 18 16 1
## 17 15 16 3
## 18 58 59 5
## 19 9 8 5
## 20 72 73 0
## 21 79 78 12
## 22 0 1 1
## 23 17 18 0
## 24 19 20 13
## 25 81 81 21
## 26 52 50 9
## 27 19 19 6
## 28 48 44 9
## 29 56 57 4
## 30 0 0 0
## 31 0 0 0
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## 33 8 8 1
## 34 0 0 0
## 35 3 1 3
## 36 71 70 18
## 37 71 70 15
## 38 4 4 3
## 39 78 78 2
## 40 5 5 0
## 41 2 2 1
## 42 1 2 0
## 43 10 10 1
## 44 0 0 0
## 45 0 0 0
## 46 2 2 1
## 47 85 88 32
## 48 7 6 4
## 49 8 3 0
## 50 63 63 0
## 51 18 17 14
## 52 57 55 56
## 53 73 73 45
## 54 12 12 2
## 55 62 64 11
## 56 0 1 1
## 57 2 3 1
## 58 0 0 0
## 59 0 0 0
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## 61 0 0 2
## 62 1 1 1
## 63 14 12 1
## 64 6 5 2
## 65 16 16 11
## 66 57 60 15
## 67 0 0 0
## 68 0 0 0
## 69 0 0 0
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## 72 4 3 0
## 73 0 0 3
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## 76 0 0 0
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## 78 1 0 0
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## 81 0 0 0
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## 84 0 0 0
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## 92 0 0 0
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## 122 1 1 0
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## 127 1 1 1
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## 130 9 10 1
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## 136 51 48 1
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## 140 0 0 0
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## 144 0 0 0
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## 146 78 81 58
## 147 5 5 3
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## 151 0 0 0
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## 155 1 1 0
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## 169 2 1 3
## 170 53 55 0
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## 172 14 14 10
## 173 0 0 0
## 174 96 96 10
## 175 0 0 17
## 176 60 58 0
## OOSR_Primary_Age_Female OOSR_Lower_Secondary_Age_Male
## 1 0 0
## 2 3 6
## 3 0 0
## 4 0 0
## 5 0 0
## 6 9 11
## 7 0 2
## 8 0 1
## 9 7 0
## 10 0 23
## 11 3 7
## 12 0 0
## 13 2 7
## 14 2 1
## 15 0 1
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## 17 10 27
## 18 2 18
## 19 5 13
## 20 0 0
## 21 10 0
## 22 1 2
## 23 0 0
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## 25 22 48
## 26 6 36
## 27 7 14
## 28 9 12
## 29 13 33
## 30 0 0
## 31 0 0
## 32 35 55
## 33 2 5
## 34 0 0
## 35 2 6
## 36 18 20
## 37 16 0
## 38 3 3
## 39 8 41
## 40 0 3
## 41 1 10
## 42 1 2
## 43 0 1
## 44 0 0
## 45 0 0
## 46 0 0
## 47 35 48
## 48 4 6
## 49 0 6
## 50 0 3
## 51 13 17
## 52 55 0
## 53 50 32
## 54 2 2
## 55 18 45
## 56 1 0
## 57 1 1
## 58 0 1
## 59 0 0
## 60 10 0
## 61 2 1
## 62 0 6
## 63 0 13
## 64 1 3
## 65 10 30
## 66 29 43
## 67 0 0
## 68 0 0
## 69 0 0
## 70 14 44
## 71 5 3
## 72 1 1
## 73 1 18
## 74 8 19
## 75 0 3
## 76 0 0
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## 78 0 0
## 79 3 2
## 80 0 19
## 81 0 0
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## 84 0 0
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## 88 1 1
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## 107 4 39
## 108 0 22
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## 112 1 1
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## 127 1 3
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## 136 3 0
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## 139 2 49
## 140 0 0
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## 146 67 49
## 147 3 1
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## 149 35 33
## 150 11 19
## 151 0 0
## 152 0 1
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## 154 2 0
## 155 0 0
## 156 3 12
## 157 4 15
## 158 0 6
## 159 0 0
## 160 0 0
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## 162 0 0
## 163 3 0
## 164 7 4
## 165 5 2
## 166 1 2
## 167 12 0
## 168 1 3
## 169 3 1
## 170 2 0
## 171 7 2
## 172 10 15
## 173 0 0
## 174 21 23
## 175 13 0
## 176 0 0
## OOSR_Lower_Secondary_Age_Female OOSR_Upper_Secondary_Age_Male
## 1 0 44
## 2 1 21
## 3 0 0
## 4 0 0
## 5 0 15
## 6 9 16
## 7 3 10
## 8 0 10
## 9 0 0
## 10 21 29
## 11 0 18
## 12 0 41
## 13 3 7
## 14 1 6
## 15 1 1
## 16 11 38
## 17 43 46
## 18 6 33
## 19 14 22
## 20 0 22
## 21 0 0
## 22 3 16
## 23 0 19
## 24 13 10
## 25 44 67
## 26 31 67
## 27 13 29
## 28 14 0
## 29 40 50
## 30 0 6
## 31 0 0
## 32 70 71
## 33 6 5
## 34 0 0
## 35 5 22
## 36 18 52
## 37 0 0
## 38 1 7
## 39 48 52
## 40 1 16
## 41 10 20
## 42 2 6
## 43 2 3
## 44 0 0
## 45 0 0
## 46 1 11
## 47 48 66
## 48 6 23
## 49 3 20
## 50 2 23
## 51 17 33
## 52 0 0
## 53 40 45
## 54 0 1
## 55 49 73
## 56 0 0
## 57 0 3
## 58 1 5
## 59 0 0
## 60 0 0
## 61 2 7
## 62 4 12
## 63 8 28
## 64 5 4
## 65 35 57
## 66 60 59
## 67 0 0
## 68 0 0
## 69 0 0
## 70 31 58
## 71 3 12
## 72 0 15
## 73 12 47
## 74 14 23
## 75 6 25
## 76 0 0
## 77 0 2
## 78 0 0
## 79 2 6
## 80 17 25
## 81 0 0
## 82 30 48
## 83 0 0
## 84 0 0
## 85 4 20
## 86 3 30
## 87 28 42
## 88 1 5
## 89 0 0
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## 91 26 20
## 92 0 0
## 93 0 4
## 94 5 22
## 95 29 63
## 96 18 62
## 97 12 41
## 98 0 0
## 99 56 71
## 100 1 10
## 101 25 63
## 102 4 25
## 103 7 28
## 104 7 22
## 105 7 12
## 106 11 26
## 107 47 65
## 108 20 47
## 109 0 0
## 110 1 26
## 111 2 1
## 112 1 4
## 113 0 0
## 114 69 84
## 115 0 0
## 116 1 8
## 117 0 8
## 118 0 0
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## 120 19 40
## 121 0 33
## 122 3 15
## 123 7 24
## 124 3 4
## 125 0 2
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## 127 3 4
## 128 16 36
## 129 9 21
## 130 1 3
## 131 2 50
## 132 10 20
## 133 2 16
## 134 0 15
## 135 7 19
## 136 3 3
## 137 0 0
## 138 2 14
## 139 49 64
## 140 1 0
## 141 5 11
## 142 1 2
## 143 0 0
## 144 0 0
## 145 13 22
## 146 63 57
## 147 1 2
## 148 0 18
## 149 35 53
## 150 11 42
## 151 0 1
## 152 1 16
## 153 39 66
## 154 0 0
## 155 0 21
## 156 9 27
## 157 28 47
## 158 4 43
## 159 0 0
## 160 0 0
## 161 7 17
## 162 0 0
## 163 0 0
## 164 3 7
## 165 3 2
## 166 2 5
## 167 0 84
## 168 1 4
## 169 0 15
## 170 2 14
## 171 4 41
## 172 13 28
## 173 0 0
## 174 34 46
## 175 0 0
## 176 0 45
## OOSR_Upper_Secondary_Age_Female Completion_Rate_Primary_Male
## 1 69 67
## 2 15 94
## 3 0 93
## 4 0 63
## 5 7 91
## 6 4 99
## 7 6 0
## 8 9 0
## 9 0 0
## 10 24 0
## 11 6 0
## 12 36 76
## 13 3 99
## 14 4 100
## 15 2 0
## 16 35 95
## 17 66 51
## 18 22 67
## 19 22 0
## 20 19 99
## 21 0 95
## 22 14 95
## 23 16 0
## 24 14 0
## 25 65 32
## 26 62 46
## 27 24 0
## 28 0 68
## 29 58 75
## 30 6 0
## 31 0 54
## 32 85 31
## 33 5 96
## 34 0 97
## 35 20 91
## 36 48 75
## 37 0 78
## 38 5 98
## 39 64 60
## 40 11 0
## 41 15 100
## 42 8 0
## 43 3 0
## 44 0 100
## 45 0 67
## 46 9 0
## 47 67 0
## 48 21 88
## 49 18 98
## 50 24 91
## 51 35 84
## 52 0 0
## 53 53 0
## 54 2 0
## 55 75 47
## 56 0 0
## 57 5 0
## 58 4 0
## 59 0 66
## 60 0 64
## 61 4 100
## 62 16 0
## 63 28 69
## 64 6 0
## 65 61 80
## 66 76 52
## 67 0 29
## 68 0 96
## 69 0 49
## 70 54 81
## 71 12 0
## 72 11 0
## 73 48 92
## 74 22 91
## 75 27 0
## 76 0 78
## 77 1 0
## 78 0 0
## 79 5 0
## 80 22 99
## 81 0 0
## 82 43 96
## 83 0 100
## 84 0 77
## 85 17 0
## 86 26 99
## 87 46 84
## 88 4 0
## 89 0 0
## 90 29 69
## 91 31 36
## 92 0 0
## 93 2 0
## 94 17 0
## 95 64 52
## 96 76 43
## 97 32 0
## 98 0 0
## 99 79 50
## 100 7 0
## 101 59 68
## 102 17 0
## 103 24 98
## 104 20 96
## 105 10 95
## 106 30 0
## 107 73 44
## 108 38 82
## 109 0 75
## 110 13 81
## 111 1 0
## 112 1 0
## 113 0 0
## 114 89 35
## 115 0 71
## 116 7 0
## 117 17 0
## 118 0 64
## 119 31 95
## 120 51 0
## 121 30 93
## 122 21 95
## 123 17 89
## 124 4 0
## 125 4 0
## 126 0 0
## 127 4 0
## 128 35 99
## 129 19 0
## 130 3 0
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## 132 21 99
## 133 14 0
## 134 5 0
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## 136 9 0
## 137 0 44
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## 139 67 63
## 140 0 0
## 141 11 0
## 142 1 0
## 143 0 0
## 144 0 0
## 145 20 95
## 146 72 31
## 147 1 0
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## 149 50 66
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## 151 3 0
## 152 20 0
## 153 66 0
## 154 0 99
## 155 21 98
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## 157 66 83
## 158 33 98
## 159 0 0
## 160 0 94
## 161 17 99
## 162 0 100
## 163 0 39
## 164 4 100
## 165 2 0
## 166 4 0
## 167 88 75
## 168 3 0
## 169 9 96
## 170 15 0
## 171 46 0
## 172 19 0
## 173 0 96
## 174 68 70
## 175 0 71
## 176 50 86
## Completion_Rate_Primary_Female Completion_Rate_Lower_Secondary_Male
## 1 40 49
## 2 96 98
## 3 93 49
## 4 57 42
## 5 94 70
## 6 99 95
## 7 0 0
## 8 0 0
## 9 0 0
## 10 0 0
## 11 0 0
## 12 89 59
## 13 99 98
## 14 100 100
## 15 0 0
## 16 96 55
## 17 44 25
## 18 71 41
## 19 0 0
## 20 100 97
## 21 98 92
## 22 97 81
## 23 0 0
## 24 0 0
## 25 29 13
## 26 54 26
## 27 0 0
## 28 79 41
## 29 74 52
## 30 0 0
## 31 33 16
## 32 24 18
## 33 97 94
## 34 97 93
## 35 95 74
## 36 77 47
## 37 82 56
## 38 99 70
## 39 53 36
## 40 0 0
## 41 98 95
## 42 0 0
## 43 0 0
## 44 100 100
## 45 66 58
## 46 0 0
## 47 0 0
## 48 94 76
## 49 98 89
## 50 92 79
## 51 89 73
## 52 0 0
## 53 0 0
## 54 0 0
## 55 48 19
## 56 0 0
## 57 0 0
## 58 0 0
## 59 75 32
## 60 60 50
## 61 100 98
## 62 0 0
## 63 73 45
## 64 0 0
## 65 76 52
## 66 39 33
## 67 25 18
## 68 99 80
## 69 58 32
## 70 87 46
## 71 0 0
## 72 0 0
## 73 91 82
## 74 92 64
## 75 0 0
## 76 73 46
## 77 0 0
## 78 0 0
## 79 0 0
## 80 100 97
## 81 0 0
## 82 97 86
## 83 100 100
## 84 82 61
## 85 0 0
## 86 100 99
## 87 83 54
## 88 0 0
## 89 0 0
## 90 92 33
## 91 33 29
## 92 0 0
## 93 0 0
## 94 0 0
## 95 60 26
## 96 52 23
## 97 0 0
## 98 0 0
## 99 41 36
## 100 0 0
## 101 58 53
## 102 0 0
## 103 98 87
## 104 98 87
## 105 98 93
## 106 0 0
## 107 39 15
## 108 84 45
## 109 86 48
## 110 83 71
## 111 0 0
## 112 0 0
## 113 0 0
## 114 24 10
## 115 71 66
## 116 0 0
## 117 0 0
## 118 55 55
## 119 96 75
## 120 0 0
## 121 96 81
## 122 95 83
## 123 95 75
## 124 0 0
## 125 0 0
## 126 0 0
## 127 0 0
## 128 99 95
## 129 0 0
## 130 0 0
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## 133 0 0
## 134 0 0
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## 136 0 0
## 137 50 27
## 138 100 99
## 139 65 47
## 140 0 0
## 141 0 0
## 142 0 0
## 143 0 0
## 144 0 0
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## 146 18 22
## 147 0 0
## 148 99 94
## 149 64 49
## 150 90 41
## 151 0 0
## 152 0 0
## 153 0 0
## 154 98 95
## 155 99 81
## 156 85 63
## 157 76 55
## 158 99 65
## 159 0 0
## 160 97 68
## 161 98 96
## 162 100 99
## 163 43 27
## 164 99 100
## 165 0 0
## 166 0 0
## 167 84 31
## 168 0 0
## 169 98 66
## 170 0 0
## 171 0 0
## 172 0 0
## 173 97 81
## 174 55 55
## 175 73 54
## 176 92 45
## Completion_Rate_Lower_Secondary_Female Completion_Rate_Upper_Secondary_Male
## 1 26 32
## 2 97 76
## 3 65 22
## 4 32 24
## 5 79 46
## 6 99 69
## 7 0 0
## 8 0 0
## 9 0 0
## 10 0 0
## 11 0 0
## 12 71 32
## 13 98 91
## 14 100 91
## 15 0 0
## 16 66 48
## 17 13 12
## 18 38 25
## 19 0 0
## 20 97 92
## 21 92 55
## 22 89 65
## 23 0 0
## 24 0 0
## 25 6 6
## 26 19 4
## 27 0 0
## 28 39 20
## 29 43 26
## 30 0 0
## 31 8 8
## 32 10 15
## 33 97 83
## 34 93 63
## 35 81 69
## 36 45 24
## 37 45 28
## 38 76 56
## 39 22 17
## 40 0 0
## 41 98 85
## 42 0 0
## 43 0 0
## 44 100 100
## 45 52 36
## 46 0 0
## 47 0 0
## 48 89 48
## 49 92 78
## 50 81 43
## 51 74 34
## 52 0 0
## 53 0 0
## 54 0 0
## 55 22 11
## 56 0 0
## 57 0 0
## 58 0 0
## 59 33 14
## 60 48 33
## 61 98 79
## 62 0 0
## 63 50 12
## 64 0 0
## 65 45 27
## 66 20 22
## 67 16 14
## 68 88 49
## 69 38 17
## 70 52 29
## 71 0 0
## 72 0 0
## 73 79 46
## 74 59 40
## 75 0 0
## 76 47 45
## 77 0 0
## 78 0 0
## 79 0 0
## 80 97 80
## 81 0 0
## 82 88 49
## 83 100 95
## 84 69 44
## 85 0 0
## 86 99 89
## 87 53 32
## 88 0 0
## 89 0 0
## 90 55 27
## 91 23 18
## 92 0 0
## 93 0 0
## 94 0 0
## 95 27 16
## 96 21 15
## 97 0 0
## 98 0 0
## 99 25 23
## 100 0 0
## 101 40 31
## 102 0 0
## 103 90 56
## 104 93 60
## 105 97 83
## 106 0 0
## 107 11 8
## 108 45 14
## 109 62 33
## 110 75 27
## 111 0 0
## 112 0 0
## 113 0 0
## 114 4 4
## 115 59 57
## 116 0 0
## 117 0 0
## 118 45 24
## 119 81 57
## 120 0 0
## 121 79 60
## 122 83 78
## 123 88 74
## 124 0 0
## 125 0 0
## 126 0 0
## 127 0 0
## 128 98 63
## 129 0 0
## 130 0 0
## 131 30 19
## 132 98 70
## 133 0 0
## 134 0 0
## 135 36 4
## 136 0 0
## 137 30 11
## 138 99 71
## 139 42 27
## 140 0 0
## 141 0 0
## 142 0 0
## 143 0 0
## 144 0 0
## 145 91 45
## 146 10 12
## 147 0 0
## 148 96 32
## 149 52 33
## 150 58 18
## 151 0 0
## 152 0 0
## 153 0 0
## 154 93 80
## 155 92 59
## 156 70 49
## 157 39 31
## 158 76 45
## 159 0 0
## 160 80 40
## 161 92 51
## 162 100 93
## 163 23 18
## 164 100 97
## 165 0 0
## 166 0 0
## 167 27 32
## 168 0 0
## 169 73 48
## 170 0 0
## 171 0 0
## 172 0 0
## 173 87 50
## 174 39 37
## 175 50 33
## 176 53 17
## Completion_Rate_Upper_Secondary_Female Grade_2_3_Proficiency_Reading
## 1 14 22
## 2 80 0
## 3 37 0
## 4 15 0
## 5 53 76
## 6 79 0
## 7 0 94
## 8 0 0
## 9 0 0
## 10 0 0
## 11 0 69
## 12 27 47
## 13 97 0
## 14 94 0
## 15 0 0
## 16 51 0
## 17 5 9
## 18 18 0
## 19 0 0
## 20 92 0
## 21 66 0
## 22 75 80
## 23 0 0
## 24 0 0
## 25 2 36
## 26 3 79
## 27 0 0
## 28 20 0
## 29 21 30
## 30 0 96
## 31 6 0
## 32 6 18
## 33 88 94
## 34 67 82
## 35 78 79
## 36 32 0
## 37 19 38
## 38 60 89
## 39 15 17
## 40 0 0
## 41 86 0
## 42 0 0
## 43 0 97
## 44 100 94
## 45 27 0
## 46 0 97
## 47 0 0
## 48 66 44
## 49 79 74
## 50 41 0
## 51 36 0
## 52 0 0
## 53 0 0
## 54 0 0
## 55 14 0
## 56 0 0
## 57 0 98
## 58 0 0
## 59 14 0
## 60 28 5
## 61 83 86
## 62 0 0
## 63 9 0
## 64 0 0
## 65 25 68
## 66 13 0
## 67 8 0
## 68 64 0
## 69 16 0
## 70 35 70
## 71 0 0
## 72 0 0
## 73 40 47
## 74 37 0
## 75 0 66
## 76 43 0
## 77 0 98
## 78 0 91
## 79 0 98
## 80 83 0
## 81 0 0
## 82 63 0
## 83 96 0
## 84 38 53
## 85 0 0
## 86 85 39
## 87 31 0
## 88 0 99
## 89 0 0
## 90 37 13
## 91 9 0
## 92 0 0
## 93 0 0
## 94 0 0
## 95 15 13
## 96 13 0
## 97 0 0
## 98 0 0
## 99 12 0
## 100 0 73
## 101 23 0
## 102 0 0
## 103 60 78
## 104 73 44
## 105 90 0
## 106 0 36
## 107 5 0
## 108 19 0
## 109 39 0
## 110 28 0
## 111 0 99
## 112 0 90
## 113 0 61
## 114 1 9
## 115 44 0
## 116 0 99
## 117 0 59
## 118 23 35
## 119 68 65
## 120 0 0
## 121 67 61
## 122 72 80
## 123 83 0
## 124 0 98
## 125 0 97
## 126 0 66
## 127 0 0
## 128 71 0
## 129 0 0
## 130 0 0
## 131 16 0
## 132 90 0
## 133 0 0
## 134 0 0
## 135 8 0
## 136 0 63
## 137 10 29
## 138 81 0
## 139 18 6
## 140 0 97
## 141 0 0
## 142 0 96
## 143 0 0
## 144 0 0
## 145 52 22
## 146 4 0
## 147 0 97
## 148 43 0
## 149 28 0
## 150 26 30
## 151 0 98
## 152 0 0
## 153 0 0
## 154 63 0
## 155 72 0
## 156 55 0
## 157 12 19
## 158 56 0
## 159 0 80
## 160 57 47
## 161 44 0
## 162 95 0
## 163 15 33
## 164 97 0
## 165 0 68
## 166 0 0
## 167 27 0
## 168 0 0
## 169 29 80
## 170 0 0
## 171 0 0
## 172 0 0
## 173 61 0
## 174 23 0
## 175 27 0
## 176 14 20
## Grade_2_3_Proficiency_Math Primary_End_Proficiency_Reading
## 1 25 13
## 2 0 0
## 3 0 0
## 4 0 0
## 5 71 46
## 6 0 0
## 7 70 0
## 8 0 98
## 9 0 81
## 10 0 0
## 11 40 0
## 12 34 44
## 13 0 0
## 14 0 0
## 15 0 0
## 16 0 0
## 17 34 23
## 18 0 0
## 19 0 0
## 20 0 0
## 21 0 0
## 22 71 53
## 23 0 0
## 24 0 95
## 25 59 21
## 26 97 7
## 27 0 0
## 28 0 50
## 29 57 24
## 30 69 0
## 31 0 0
## 32 48 3
## 33 90 70
## 34 85 0
## 35 64 55
## 36 0 0
## 37 72 17
## 38 84 68
## 39 33 22
## 40 0 0
## 41 0 0
## 42 74 0
## 43 78 0
## 44 0 0
## 45 0 0
## 46 80 0
## 47 0 0
## 48 25 21
## 49 65 38
## 50 0 0
## 51 0 0
## 52 0 0
## 53 0 0
## 54 0 0
## 55 0 0
## 56 0 0
## 57 82 0
## 58 0 94
## 59 0 0
## 60 0 0
## 61 47 0
## 62 0 95
## 63 0 0
## 64 0 0
## 65 52 36
## 66 0 0
## 67 0 0
## 68 0 0
## 69 0 0
## 70 57 31
## 71 0 97
## 72 0 0
## 73 53 46
## 74 18 0
## 75 33 0
## 76 0 0
## 77 84 0
## 78 0 0
## 79 69 0
## 80 0 0
## 81 95 0
## 82 0 0
## 83 0 98
## 84 42 0
## 85 12 0
## 86 0 36
## 87 0 0
## 88 0 0
## 89 0 0
## 90 0 0
## 91 0 0
## 92 0 0
## 93 0 97
## 94 0 0
## 95 0 4
## 96 0 0
## 97 0 0
## 98 0 0
## 99 0 0
## 100 0 0
## 101 0 0
## 102 0 88
## 103 77 58
## 104 0 0
## 105 0 0
## 106 16 0
## 107 0 0
## 108 0 0
## 109 0 35
## 110 0 0
## 111 83 0
## 112 59 0
## 113 44 31
## 114 27 2
## 115 0 0
## 116 86 0
## 117 32 0
## 118 0 0
## 119 51 36
## 120 0 0
## 121 47 29
## 122 70 46
## 123 0 0
## 124 80 0
## 125 82 0
## 126 36 0
## 127 97 0
## 128 0 0
## 129 0 0
## 130 0 99
## 131 0 0
## 132 0 0
## 133 0 0
## 134 0 0
## 135 0 0
## 136 16 0
## 137 63 35
## 138 0 0
## 139 0 0
## 140 93 0
## 141 0 93
## 142 75 0
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 67 0
## 148 0 0
## 149 0 0
## 150 0 0
## 151 75 0
## 152 0 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 0 0
## 157 40 16
## 158 0 0
## 159 0 0
## 160 0 0
## 161 0 0
## 162 0 0
## 163 21 0
## 164 0 0
## 165 42 0
## 166 0 0
## 167 0 0
## 168 0 0
## 169 75 59
## 170 0 0
## 171 0 0
## 172 0 0
## 173 0 55
## 174 0 0
## 175 0 0
## 176 0 0
## Primary_End_Proficiency_Math Lower_Secondary_End_Proficiency_Reading
## 1 11 0
## 2 0 48
## 3 0 21
## 4 0 0
## 5 56 48
## 6 55 0
## 7 64 80
## 8 0 76
## 9 0 0
## 10 0 0
## 11 0 0
## 12 32 54
## 13 0 0
## 14 0 77
## 15 0 79
## 16 0 0
## 17 11 0
## 18 0 56
## 19 0 0
## 20 0 46
## 21 16 0
## 22 52 50
## 23 0 48
## 24 75 53
## 25 22 0
## 26 40 0
## 27 0 0
## 28 0 8
## 29 12 0
## 30 0 86
## 31 0 0
## 32 3 0
## 33 75 68
## 34 0 80
## 35 48 50
## 36 0 0
## 37 6 0
## 38 60 58
## 39 3 0
## 40 67 78
## 41 0 0
## 42 0 56
## 43 0 79
## 44 0 0
## 45 0 0
## 46 0 84
## 47 0 0
## 48 12 21
## 49 48 49
## 50 0 0
## 51 0 0
## 52 0 0
## 53 0 0
## 54 0 89
## 55 0 0
## 56 0 0
## 57 0 86
## 58 58 79
## 59 0 0
## 60 0 0
## 61 0 36
## 62 77 79
## 63 0 0
## 64 0 69
## 65 34 30
## 66 0 0
## 67 0 0
## 68 0 0
## 69 0 0
## 70 32 30
## 71 75 75
## 72 0 74
## 73 44 0
## 74 0 30
## 75 0 0
## 76 0 0
## 77 0 88
## 78 0 69
## 79 0 77
## 80 0 0
## 81 0 83
## 82 0 59
## 83 80 36
## 84 0 0
## 85 0 0
## 86 35 0
## 87 0 0
## 88 0 78
## 89 0 32
## 90 0 0
## 91 0 0
## 92 0 0
## 93 81 76
## 94 0 71
## 95 5 0
## 96 0 0
## 97 0 54
## 98 0 0
## 99 0 0
## 100 0 64
## 101 0 0
## 102 78 0
## 103 69 55
## 104 0 0
## 105 0 56
## 106 0 27
## 107 0 0
## 108 0 0
## 109 6 0
## 110 0 0
## 111 0 76
## 112 0 81
## 113 20 0
## 114 1 0
## 115 0 0
## 116 70 81
## 117 0 0
## 118 0 0
## 119 23 36
## 120 0 0
## 121 23 32
## 122 53 46
## 123 0 19
## 124 0 85
## 125 0 80
## 126 0 49
## 127 0 85
## 128 0 57
## 129 0 59
## 130 89 78
## 131 0 0
## 132 0 0
## 133 0 0
## 134 0 0
## 135 0 0
## 136 0 48
## 137 29 9
## 138 72 62
## 139 0 0
## 140 0 89
## 141 65 69
## 142 0 82
## 143 0 0
## 144 0 0
## 145 13 0
## 146 0 0
## 147 0 84
## 148 0 0
## 149 0 0
## 150 0 0
## 151 0 82
## 152 0 76
## 153 0 0
## 154 0 0
## 155 0 40
## 156 0 0
## 157 20 0
## 158 0 0
## 159 0 58
## 160 0 28
## 161 57 74
## 162 0 0
## 163 0 0
## 164 0 74
## 165 0 57
## 166 0 83
## 167 0 0
## 168 0 81
## 169 68 58
## 170 0 0
## 171 0 0
## 172 0 0
## 173 51 86
## 174 0 0
## 175 0 5
## 176 0 0
## Lower_Secondary_End_Proficiency_Math Youth_15_24_Literacy_Rate_Male
## 1 0 74
## 2 58 99
## 3 19 98
## 4 0 0
## 5 31 99
## 6 50 0
## 7 78 0
## 8 79 0
## 9 0 0
## 10 0 0
## 11 39 100
## 12 57 94
## 13 0 0
## 14 71 100
## 15 80 0
## 16 0 0
## 17 0 70
## 18 0 0
## 19 0 0
## 20 42 0
## 21 0 0
## 22 32 99
## 23 52 100
## 24 56 0
## 25 0 62
## 26 0 0
## 27 0 0
## 28 10 0
## 29 0 88
## 30 84 0
## 31 0 48
## 32 0 0
## 33 28 0
## 34 79 100
## 35 35 99
## 36 0 78
## 37 0 85
## 38 40 99
## 39 0 64
## 40 69 0
## 41 0 0
## 42 63 0
## 43 80 0
## 44 0 0
## 45 0 0
## 46 85 0
## 47 0 0
## 48 9 0
## 49 29 0
## 50 21 0
## 51 0 98
## 52 0 0
## 53 0 94
## 54 90 0
## 55 0 0
## 56 0 0
## 57 85 0
## 58 79 0
## 59 0 88
## 60 0 0
## 61 39 0
## 62 79 0
## 63 0 93
## 64 64 99
## 65 11 0
## 66 0 70
## 67 0 0
## 68 0 0
## 69 0 0
## 70 15 95
## 71 67 0
## 72 79 0
## 73 0 93
## 74 28 100
## 75 34 0
## 76 0 0
## 77 84 0
## 78 66 0
## 79 62 100
## 80 0 0
## 81 89 0
## 82 41 99
## 83 51 100
## 84 0 88
## 85 18 99
## 86 0 100
## 87 0 0
## 88 83 100
## 89 35 100
## 90 0 0
## 91 0 0
## 92 0 0
## 93 74 0
## 94 73 0
## 95 0 82
## 96 0 0
## 97 59 97
## 98 0 0
## 99 0 58
## 100 62 99
## 101 0 0
## 102 0 99
## 103 44 99
## 104 0 98
## 105 54 99
## 106 14 98
## 107 0 0
## 108 0 0
## 109 0 94
## 110 0 94
## 111 84 0
## 112 78 0
## 113 0 0
## 114 0 51
## 115 0 82
## 116 81 0
## 117 23 98
## 118 0 0
## 119 19 99
## 120 0 0
## 121 8 98
## 122 40 99
## 123 19 0
## 124 85 0
## 125 77 100
## 126 36 0
## 127 85 0
## 128 50 0
## 129 53 99
## 130 78 100
## 131 0 84
## 132 0 0
## 133 0 0
## 134 0 99
## 135 0 98
## 136 11 0
## 137 8 0
## 138 60 0
## 139 0 71
## 140 94 100
## 141 75 0
## 142 84 0
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 48
## 147 75 100
## 148 0 99
## 149 0 73
## 150 0 99
## 151 81 0
## 152 83 0
## 153 0 0
## 154 0 0
## 155 47 98
## 156 0 82
## 157 0 0
## 158 0 99
## 159 48 0
## 160 25 0
## 161 42 0
## 162 0 0
## 163 0 89
## 164 64 0
## 165 46 0
## 166 81 0
## 167 0 0
## 168 73 0
## 169 49 99
## 170 0 100
## 171 0 96
## 172 0 0
## 173 81 98
## 174 0 0
## 175 2 93
## 176 0 0
## Youth_15_24_Literacy_Rate_Female Birth_Rate
## 1 56 32.49
## 2 100 11.78
## 3 97 24.28
## 4 0 40.73
## 5 100 17.02
## 6 0 13.99
## 7 0 12.60
## 8 0 9.70
## 9 0 14.00
## 10 0 13.97
## 11 99 13.99
## 12 96 18.18
## 13 0 10.65
## 14 100 9.90
## 15 0 10.30
## 16 0 20.79
## 17 52 36.22
## 18 0 17.26
## 19 0 21.75
## 20 0 8.11
## 21 0 24.82
## 22 99 13.92
## 23 100 14.90
## 24 0 8.90
## 25 55 37.93
## 26 0 39.01
## 27 0 19.49
## 28 0 22.46
## 29 82 35.39
## 30 0 10.10
## 31 29 35.35
## 32 0 42.17
## 33 0 12.43
## 34 100 10.90
## 35 99 14.88
## 36 78 31.88
## 37 79 32.86
## 38 100 13.97
## 39 53 35.74
## 40 0 9.00
## 41 0 10.17
## 42 0 10.46
## 43 0 10.70
## 44 0 13.89
## 45 0 41.18
## 46 0 10.60
## 47 0 21.47
## 48 0 19.51
## 49 0 19.72
## 50 0 26.38
## 51 98 18.25
## 52 0 33.24
## 53 93 30.30
## 54 0 10.90
## 55 0 32.34
## 56 0 21.28
## 57 0 8.60
## 58 0 11.30
## 59 91 31.61
## 60 0 38.54
## 61 0 13.47
## 62 0 9.50
## 63 92 29.41
## 64 99 8.10
## 65 0 24.56
## 66 43 36.36
## 67 0 35.13
## 68 0 19.97
## 69 0 24.35
## 70 98 21.60
## 71 0 9.60
## 72 0 12.00
## 73 90 17.86
## 74 100 18.07
## 75 0 18.78
## 76 0 29.08
## 77 0 12.50
## 78 0 20.80
## 79 100 7.30
## 80 0 16.10
## 81 0 7.40
## 82 99 21.98
## 83 100 21.77
## 84 88 28.75
## 85 100 13.94
## 86 100 27.10
## 87 0 23.55
## 88 100 10.00
## 89 100 17.55
## 90 0 26.81
## 91 0 33.04
## 92 0 18.83
## 93 0 10.00
## 94 0 10.30
## 95 81 32.66
## 96 0 34.12
## 97 97 16.75
## 98 0 14.20
## 99 43 41.54
## 100 100 9.20
## 101 0 33.69
## 102 99 10.20
## 103 99 17.60
## 104 99 24.13
## 105 99 11.73
## 106 97 18.94
## 107 0 37.52
## 108 0 17.55
## 109 96 28.64
## 110 91 19.89
## 111 0 9.70
## 112 0 11.98
## 113 0 20.64
## 114 36 46.08
## 115 68 37.91
## 116 0 10.40
## 117 99 19.19
## 118 0 28.25
## 119 99 18.98
## 120 0 27.07
## 121 99 20.57
## 122 99 17.95
## 123 0 20.55
## 124 0 10.20
## 125 100 8.50
## 126 0 9.54
## 127 0 6.40
## 128 0 10.10
## 129 99 9.60
## 130 100 11.50
## 131 89 31.70
## 132 0 12.00
## 133 0 14.24
## 134 99 24.38
## 135 98 31.54
## 136 0 17.80
## 137 0 34.52
## 138 0 9.20
## 139 63 33.41
## 140 100 8.80
## 141 0 10.60
## 142 0 9.40
## 143 0 32.44
## 144 0 41.75
## 145 0 20.51
## 146 47 35.01
## 147 100 7.90
## 148 99 15.83
## 149 73 32.18
## 150 98 18.54
## 151 0 11.40
## 152 0 10.00
## 153 0 23.69
## 154 0 30.76
## 155 99 10.34
## 156 85 29.42
## 157 0 33.11
## 158 100 24.30
## 159 0 12.94
## 160 0 17.56
## 161 0 16.03
## 162 0 23.83
## 163 90 38.14
## 164 0 8.70
## 165 0 10.33
## 166 0 11.00
## 167 0 36.70
## 168 0 11.60
## 169 99 13.86
## 170 100 23.30
## 171 97 29.60
## 172 0 17.88
## 173 98 16.75
## 174 0 30.45
## 175 92 36.19
## 176 0 30.68
## Gross_Primary_Education_Enrollment Gross_Tertiary_Education_Enrollment
## 1 104.0 9.7
## 2 107.0 55.0
## 3 109.9 51.4
## 4 113.5 9.3
## 5 109.7 90.0
## 6 92.7 54.6
## 7 100.3 113.1
## 8 103.1 85.1
## 9 99.7 27.7
## 10 81.4 15.1
## 11 99.4 50.5
## 12 116.5 20.6
## 13 99.4 65.4
## 14 100.5 87.4
## 15 103.9 79.7
## 16 111.7 24.7
## 17 122.0 12.3
## 18 100.1 15.6
## 19 98.2 0.0
## 20 0.0 23.3
## 21 103.2 24.9
## 22 115.4 51.3
## 23 103.2 31.4
## 24 89.3 71.0
## 25 96.1 6.5
## 26 121.4 6.1
## 27 104.0 23.6
## 28 107.4 13.7
## 29 103.4 12.8
## 30 100.9 68.9
## 31 102.0 3.0
## 32 86.8 3.3
## 33 101.4 88.5
## 34 100.2 50.6
## 35 114.5 55.3
## 36 99.5 9.0
## 37 106.6 12.7
## 38 113.3 55.2
## 39 99.8 9.3
## 40 96.5 67.9
## 41 101.9 41.4
## 42 99.3 75.9
## 43 100.7 64.1
## 44 112.8 27.0
## 45 108.0 6.6
## 46 101.3 80.6
## 47 75.3 5.3
## 48 105.7 59.9
## 49 103.3 44.9
## 50 106.3 35.2
## 51 94.8 29.4
## 52 61.8 1.9
## 53 68.4 3.4
## 54 97.2 69.6
## 55 101.0 8.1
## 56 106.4 16.1
## 57 100.2 88.2
## 58 102.5 65.6
## 59 139.9 8.3
## 60 98.0 2.7
## 61 98.6 63.9
## 62 104.0 70.2
## 63 104.8 15.7
## 64 99.6 136.6
## 65 101.9 21.8
## 66 91.5 11.6
## 67 118.7 2.6
## 68 97.8 11.6
## 69 113.6 1.1
## 70 91.5 26.2
## 71 100.8 48.5
## 72 100.4 71.8
## 73 113.0 28.1
## 74 106.4 36.3
## 75 110.7 68.1
## 76 108.7 16.2
## 77 100.9 77.8
## 78 104.9 63.4
## 79 101.9 61.9
## 80 91.0 27.1
## 81 98.8 63.2
## 82 81.5 34.4
## 83 104.4 61.7
## 84 103.2 11.5
## 85 92.4 54.4
## 86 107.6 41.3
## 87 102.4 15.0
## 88 99.4 88.1
## 89 95.1 26.3
## 90 120.9 10.2
## 91 85.1 11.9
## 92 109.0 60.5
## 93 103.9 72.4
## 94 102.3 19.2
## 95 142.5 5.4
## 96 142.5 0.8
## 97 105.3 45.1
## 98 97.1 31.2
## 99 75.6 4.5
## 100 105.0 54.3
## 101 99.9 5.0
## 102 101.1 40.6
## 103 105.8 40.2
## 104 104.0 65.6
## 105 100.0 56.1
## 106 113.9 35.9
## 107 112.6 7.3
## 108 112.3 18.8
## 109 124.2 22.9
## 110 142.1 12.4
## 111 104.2 85.0
## 112 100.0 82.0
## 113 120.6 17.4
## 114 74.7 4.4
## 115 84.7 10.2
## 116 100.3 82.0
## 117 103.4 38.0
## 118 94.3 9.0
## 119 94.4 47.8
## 120 108.5 1.8
## 121 104.4 34.6
## 122 106.9 70.7
## 123 107.5 35.5
## 124 100.0 67.8
## 125 106.2 63.9
## 126 103.8 17.9
## 127 98.1 94.3
## 128 90.6 39.8
## 129 85.2 49.4
## 130 102.6 81.9
## 131 133.0 6.7
## 132 102.6 14.1
## 133 113.4 23.7
## 134 110.5 7.6
## 135 106.8 13.4
## 136 99.8 68.0
## 137 81.0 12.8
## 138 100.3 67.2
## 139 112.8 2.0
## 140 100.6 84.8
## 141 98.7 46.6
## 142 100.4 78.6
## 143 106.2 0.0
## 144 23.4 2.5
## 145 100.9 22.4
## 146 73.0 0.0
## 147 102.7 88.9
## 148 100.2 19.6
## 149 76.8 16.9
## 150 108.8 12.6
## 151 126.6 67.0
## 152 105.2 59.6
## 153 81.7 40.1
## 154 100.9 31.3
## 155 99.8 49.3
## 156 115.3 17.8
## 157 123.8 14.5
## 158 116.3 6.4
## 159 106.2 12.0
## 160 115.4 31.7
## 161 93.2 23.9
## 162 88.4 8.0
## 163 102.7 4.8
## 164 99.0 82.7
## 165 108.4 36.8
## 166 101.2 60.0
## 167 94.2 4.0
## 168 101.8 88.2
## 169 108.5 63.1
## 170 104.2 10.1
## 171 109.3 4.7
## 172 97.2 79.3
## 173 110.6 28.5
## 174 93.6 10.2
## 175 98.7 4.1
## 176 109.9 10.0
## Unemployment_Rate
## 1 11.12
## 2 12.33
## 3 11.70
## 4 6.89
## 5 9.79
## 6 16.99
## 7 5.27
## 8 4.67
## 9 5.51
## 10 10.36
## 11 0.71
## 12 4.19
## 13 10.33
## 14 4.59
## 15 5.59
## 16 6.41
## 17 2.23
## 18 2.34
## 19 3.50
## 20 18.42
## 21 18.19
## 22 12.08
## 23 9.12
## 24 4.34
## 25 6.26
## 26 1.43
## 27 12.25
## 28 0.68
## 29 3.38
## 30 5.56
## 31 3.68
## 32 1.89
## 33 7.09
## 34 4.32
## 35 9.71
## 36 4.34
## 37 9.47
## 38 11.85
## 39 3.32
## 40 6.93
## 41 1.64
## 42 7.27
## 43 1.93
## 44 2.74
## 45 4.24
## 46 4.91
## 47 10.30
## 48 5.84
## 49 3.97
## 50 10.76
## 51 4.11
## 52 6.43
## 53 5.14
## 54 5.11
## 55 2.08
## 56 4.10
## 57 6.59
## 58 8.43
## 59 20.00
## 60 9.06
## 61 14.40
## 62 3.04
## 63 4.33
## 64 17.24
## 65 2.46
## 66 4.30
## 67 2.47
## 68 11.85
## 69 13.78
## 70 5.39
## 71 3.40
## 72 2.84
## 73 5.36
## 74 4.69
## 75 11.38
## 76 12.82
## 77 4.93
## 78 3.86
## 79 9.89
## 80 8.00
## 81 2.29
## 82 14.72
## 83 4.59
## 84 2.64
## 85 2.18
## 86 6.33
## 87 0.63
## 88 6.52
## 89 6.23
## 90 23.41
## 91 2.81
## 92 18.56
## 93 6.35
## 94 5.36
## 95 1.76
## 96 5.65
## 97 3.32
## 98 6.14
## 99 7.22
## 100 3.47
## 101 9.55
## 102 6.67
## 103 3.42
## 104 6.01
## 105 14.88
## 106 9.02
## 107 3.24
## 108 1.58
## 109 20.27
## 110 1.41
## 111 3.20
## 112 4.07
## 113 6.84
## 114 0.47
## 115 8.10
## 116 3.35
## 117 2.67
## 118 4.45
## 119 3.90
## 120 2.46
## 121 4.81
## 122 3.31
## 123 2.15
## 124 3.47
## 125 6.33
## 126 0.09
## 127 4.15
## 128 5.47
## 129 3.98
## 130 4.59
## 131 1.03
## 132 20.71
## 133 18.88
## 134 8.36
## 135 13.37
## 136 5.93
## 137 6.60
## 138 12.69
## 139 4.43
## 140 4.11
## 141 5.56
## 142 4.20
## 143 0.58
## 144 11.35
## 145 28.18
## 146 12.24
## 147 13.96
## 148 4.20
## 149 16.53
## 150 7.33
## 151 6.48
## 152 4.58
## 153 8.37
## 154 11.02
## 155 0.75
## 156 4.55
## 157 2.04
## 158 1.12
## 159 2.69
## 160 16.02
## 161 13.49
## 162 3.91
## 163 1.84
## 164 8.88
## 165 2.35
## 166 3.85
## 167 1.98
## 168 14.70
## 169 8.73
## 170 5.92
## 171 4.39
## 172 8.80
## 173 2.01
## 174 12.91
## 175 11.43
## 176 4.95
#Mengurutkan data berdasarkan Unemployment_Rate dari besar ke terkecil
data<-order(world.edu$Unemployment_Rate,decreasing=T)
edu.data <- world.edu[data,]
edu.data
## Countries.and.areas Latitude Longitude
## 145 South Africa 30.559482 22.937506
## 90 Lesotho 29.609988 28.233608
## 132 Saint Lucia 13.909444 60.978893
## 109 Namibia 22.957640 18.490410
## 59 Gabon 0.803689 11.609444
## 133 Saint Vincent and the Grenadines 12.984305 61.287228
## 92 Libya 26.335100 17.228331
## 20 Bosnia and Herzegovina 43.915886 17.679076
## 21 Botswana 22.328474 24.684866
## 64 Greece 39.074208 21.824312
## 6 Armenia 40.069099 45.038189
## 149 Sudan 12.862807 30.217636
## 160 Tunisia 33.886917 9.537499
## 105 Montenegro 42.708678 19.374390
## 82 Jordan 31.302848 36.786839
## 168 United States 37.090240 95.712891
## 61 Georgia 42.315407 43.356892
## 147 Spain 40.463667 3.749220
## 69 Haiti 18.971187 72.285215
## 161 Turkey 38.963745 35.243322
## 135 S�������\xef\xbf 0.186360 6.613081
## 174 Yemen 15.552727 48.516388
## 76 Iraq 33.223191 43.679291
## 138 Serbia 44.016521 21.005859
## 2 Albania 41.153332 20.168331
## 27 Cape Verde 16.538800 23.041800
## 146 South Sudan 6.876992 31.306979
## 22 Brazil 14.235004 51.925280
## 38 Costa Rica 9.748917 83.753428
## 68 Guyana 4.860416 58.930180
## 3 Algeria 28.033886 1.659626
## 175 Zambia 13.133897 27.849332
## 75 Iran 32.427908 53.688046
## 144 Somalia 5.152149 46.199616
## 1 Afghanistan 33.939110 67.709953
## 154 Tajikistan 38.861034 71.276093
## 50 Egypt 26.820553 30.802498
## 10 The Bahamas 25.034280 77.396280
## 13 Barbados 13.193887 59.543198
## 47 Djibouti 11.825138 42.590275
## 79 Italy 41.871940 12.567380
## 5 Argentina 38.416097 63.616672
## 35 Colombia 4.570868 74.297333
## 101 Mauritania 21.007890 10.940835
## 37 Republic of the Congo 0.228021 15.827659
## 23 Brunei 4.535277 114.727669
## 60 The Gambia 13.443182 15.310139
## 106 Morocco 31.791702 7.092620
## 164 Ukraine 48.379433 31.165580
## 172 Venezuela 6.423750 66.589730
## 169 Uruguay 32.522779 55.765835
## 58 France 46.227638 2.213749
## 153 Syria 34.802075 38.996815
## 134 Samoa 13.759029 172.104629
## 115 Nigeria 9.081999 8.675277
## 80 Jamaica 18.109581 77.297508
## 150 Suriname 3.919305 56.027783
## 42 Cyprus 35.126413 33.429859
## 99 Mali 17.570692 3.996166
## 33 Chile 35.675147 71.542969
## 40 Croatia 45.100000 15.200000
## 4 Angola 11.202692 17.873887
## 113 Nicaragua 12.865416 85.207229
## 102 Mauritius 20.348404 57.552152
## 137 Senegal 14.497401 14.452362
## 57 Finland 61.924110 25.748151
## 88 Latvia 56.879635 24.603189
## 151 Sweden 60.128161 18.643501
## 52 Equatorial Guinea 1.650801 10.267895
## 16 Belize 17.189877 88.497650
## 93 Lithuania 55.169438 23.881275
## 86 Kyrgyzstan 41.204380 74.766098
## 125 Portugal 39.399872 8.224454
## 25 Burkina Faso 12.238333 1.561593
## 89 Lebanon 33.854721 35.862285
## 98 Maldives 3.202778 73.220680
## 104 Mongolia 46.862496 103.846656
## 136 Saudi Arabia 23.885942 45.079162
## 170 Uzbekistan 41.377491 64.585262
## 48 Dominican Republic 18.735693 70.162651
## 96 Malawi 13.254308 34.301525
## 15 Belgium 50.503887 4.469936
## 30 Canada 56.130366 106.346771
## 141 Slovakia 48.669026 19.699024
## 9 Azerbaijan 40.143105 47.576927
## 128 Moldova 47.411631 28.369885
## 70 Honduras 15.199999 86.241905
## 73 India 20.593684 78.962880
## 94 Luxembourg 49.815273 6.129583
## 7 Australia 25.274398 133.775136
## 53 Eritrea 15.179384 39.782334
## 54 Estonia 58.595272 25.013607
## 176 Zimbabwe 19.015438 29.154857
## 77 Republic of Ireland 53.412910 8.243890
## 46 Denmark 56.263920 9.501785
## 121 Paraguay 23.442503 58.443832
## 74 Indonesia 0.789275 113.921327
## 8 Austria 47.516231 14.550072
## 14 Belarus 53.709807 27.953389
## 83 Kazakhstan 48.019573 66.923684
## 130 Russia 61.524010 105.318756
## 152 Switzerland 46.818188 8.227512
## 156 East Timor 8.874217 125.727539
## 118 Pakistan 30.375321 69.345116
## 139 Sierra Leone 8.460555 11.779889
## 171 Vanuatu 15.376706 166.959158
## 24 Bulgaria 42.733883 25.485830
## 36 Comoros 11.645500 43.333300
## 63 Ghana 7.946527 1.023194
## 34 China 35.861660 104.195397
## 66 Guinea 9.945587 9.696645
## 45 Democratic Republic of the Congo 4.038333 21.758664
## 142 Slovenia 46.151241 14.995463
## 148 Sri Lanka 7.873054 80.771797
## 12 Bangladesh 23.684994 90.356331
## 127 South Korea 35.907757 127.766922
## 51 El Salvador 13.794185 88.896530
## 140 Singapore 1.352083 103.819836
## 56 Fiji 17.713371 178.065032
## 112 New Zealand 40.900557 174.885971
## 129 Romania 45.943161 24.966760
## 49 Ecuador 1.831239 78.183406
## 162 Turkmenistan 38.969719 59.556278
## 119 Panama 8.537981 80.782127
## 78 Israel 31.046051 34.851612
## 166 United Kingdom 55.378051 3.435973
## 31 Central African Republic 6.611111 20.939444
## 19 Bolivia 16.290154 63.588653
## 100 Malta 35.937496 14.375416
## 124 Poland 51.919438 19.145136
## 103 Mexico 23.634501 102.552784
## 71 Hungary 47.162494 19.503304
## 29 Cameroon 7.369722 12.354722
## 116 Norway 60.472024 8.468946
## 39 Ivory Coast 7.539989 5.547080
## 97 Malaysia 4.210484 101.975766
## 122 Peru 9.189967 75.015152
## 107 Mozambique 18.665695 35.529562
## 111 Netherlands 52.132633 5.291266
## 62 Germany 51.165691 10.451526
## 72 Iceland 64.963051 19.020835
## 91 Liberia 6.428055 9.429499
## 44 North Korea 40.339852 127.510093
## 159 Trinidad and Tobago 10.691803 61.222503
## 117 Oman 21.473533 55.975413
## 84 Kenya 0.023559 37.906193
## 67 Guinea0Bissau 11.803749 15.180413
## 65 Guatemala 15.783471 90.230759
## 120 Papua New Guinea 6.314993 143.955550
## 165 United Arab Emirates 23.424076 53.847818
## 18 Bhutan 27.514162 90.433601
## 81 Japan 36.204824 138.252924
## 17 Benin 9.307690 2.315834
## 85 Kuwait 29.311660 47.481766
## 123 Philippines 12.879721 121.774017
## 55 Ethiopia 9.145000 40.489673
## 157 Togo 8.619543 0.824782
## 173 Vietnam 14.058324 108.277199
## 167 Tanzania 6.369028 34.888822
## 43 Czech Republic 49.817492 15.472962
## 32 Chad 15.454166 18.732207
## 163 Uganda 1.373333 32.290275
## 95 Madagascar 18.766947 46.869107
## 41 Cuba 21.521757 77.781167
## 108 Myanmar 21.916221 95.955974
## 26 Burundi 3.373056 29.918886
## 110 Nepal 28.394857 84.124008
## 158 Tonga 21.178986 175.198242
## 131 Rwanda 1.940278 29.873888
## 155 Thailand 15.870032 100.992541
## 11 Bahrain 26.066700 50.557700
## 28 Cambodia 12.565679 104.990963
## 87 Laos 19.856270 102.495496
## 143 Solomon Islands 9.645710 160.156194
## 114 Niger 17.607789 8.081666
## 126 Qatar 25.354826 51.183884
## OOSR_Pre0Primary_Age_Male OOSR_Pre0Primary_Age_Female OOSR_Primary_Age_Male
## 145 28 27 12
## 90 58 57 3
## 132 5 0 3
## 109 33 30 0
## 59 0 0 0
## 133 9 3 0
## 92 0 0 0
## 20 72 73 0
## 21 79 78 12
## 64 6 5 2
## 6 52 50 9
## 149 60 60 31
## 160 0 0 0
## 105 23 24 3
## 82 55 55 18
## 168 12 8 1
## 61 0 0 2
## 147 5 5 3
## 69 0 0 0
## 161 23 25 5
## 135 49 46 6
## 174 96 96 10
## 76 0 0 0
## 138 9 10 2
## 2 4 2 6
## 27 19 19 6
## 146 78 81 58
## 22 0 1 1
## 38 4 4 3
## 68 0 0 0
## 3 0 0 0
## 175 0 0 17
## 75 50 49 0
## 144 0 0 0
## 1 0 0 0
## 154 87 88 1
## 50 63 63 0
## 10 0 0 0
## 13 6 10 1
## 47 85 88 32
## 79 6 7 3
## 5 2 2 0
## 35 3 1 3
## 101 0 0 25
## 37 71 70 15
## 23 17 18 0
## 60 42 36 19
## 106 31 39 2
## 164 0 0 9
## 172 14 14 10
## 169 2 1 3
## 58 0 0 0
## 153 60 61 27
## 134 65 65 0
## 115 0 0 0
## 80 8 6 0
## 150 12 10 14
## 42 1 2 0
## 99 53 57 38
## 33 8 8 1
## 40 5 5 0
## 4 31 39 0
## 113 0 0 0
## 102 9 8 3
## 137 85 83 30
## 57 2 3 1
## 88 2 2 2
## 151 0 0 0
## 52 57 55 56
## 16 18 16 1
## 93 3 3 0
## 86 11 10 0
## 125 5 6 0
## 25 81 81 21
## 89 0 0 0
## 98 8 5 3
## 104 3 5 2
## 136 51 48 1
## 170 53 55 0
## 48 7 6 4
## 96 0 0 0
## 15 3 2 1
## 30 0 0 0
## 141 15 17 5
## 9 32 19 10
## 128 5 5 9
## 70 24 22 11
## 73 0 0 3
## 94 1 1 1
## 7 13 14 0
## 53 73 73 45
## 54 12 12 2
## 176 60 58 0
## 77 2 2 0
## 46 2 2 1
## 121 31 30 0
## 74 8 2 3
## 8 0 0 0
## 14 0 4 1
## 83 22 23 10
## 130 9 10 1
## 152 1 0 0
## 156 51 48 7
## 118 0 14 0
## 139 58 57 2
## 171 38 38 8
## 24 19 20 13
## 36 71 70 18
## 63 14 12 1
## 34 0 0 0
## 66 57 60 15
## 45 0 0 0
## 142 5 6 1
## 148 0 0 2
## 12 0 0 0
## 127 1 1 1
## 51 18 17 14
## 140 0 0 0
## 56 0 1 1
## 112 6 7 1
## 129 18 18 12
## 49 8 3 0
## 162 0 0 0
## 119 25 23 13
## 78 1 0 0
## 166 3 0 1
## 31 0 0 0
## 19 9 8 5
## 100 0 5 0
## 124 4 5 2
## 103 2 0 0
## 71 12 14 4
## 29 56 57 4
## 116 3 3 0
## 39 78 78 2
## 97 1 1 0
## 122 1 1 0
## 107 0 0 1
## 111 1 0 1
## 62 1 1 1
## 72 4 3 0
## 91 21 21 22
## 44 0 0 0
## 159 0 0 0
## 117 16 13 0
## 84 0 0 0
## 67 0 0 0
## 65 16 16 11
## 120 28 29 4
## 165 0 0 8
## 18 58 59 5
## 81 0 0 0
## 17 15 16 3
## 85 21 16 4
## 123 14 13 3
## 55 62 64 11
## 157 1 7 2
## 173 0 0 0
## 167 45 42 15
## 43 10 10 1
## 32 85 87 17
## 163 0 0 6
## 95 43 38 0
## 41 2 2 1
## 108 88 88 0
## 26 52 50 9
## 110 9 17 0
## 158 0 0 0
## 131 48 47 6
## 155 1 1 0
## 11 31 28 2
## 28 48 44 9
## 87 31 30 8
## 143 36 33 9
## 114 76 76 37
## 126 10 7 3
## OOSR_Primary_Age_Female OOSR_Lower_Secondary_Age_Male
## 145 10 16
## 90 2 21
## 132 0 9
## 109 0 0
## 59 0 0
## 133 0 1
## 92 0 0
## 20 0 0
## 21 10 0
## 64 1 3
## 6 9 11
## 149 35 33
## 160 0 0
## 105 3 8
## 82 19 29
## 168 1 3
## 61 2 1
## 147 3 1
## 69 0 0
## 161 5 6
## 135 6 12
## 174 21 23
## 76 0 0
## 138 2 2
## 2 3 6
## 27 7 14
## 146 67 49
## 22 1 2
## 38 3 3
## 68 0 0
## 3 0 0
## 175 13 0
## 75 0 3
## 144 0 0
## 1 0 0
## 154 2 0
## 50 0 3
## 10 0 23
## 13 2 7
## 47 35 48
## 79 3 2
## 5 0 0
## 35 2 6
## 101 21 31
## 37 16 0
## 23 0 0
## 60 10 0
## 106 3 8
## 164 7 4
## 172 10 15
## 169 3 1
## 58 0 1
## 153 28 37
## 134 0 0
## 115 0 0
## 80 0 19
## 150 11 19
## 42 1 2
## 99 44 49
## 33 2 5
## 40 0 3
## 4 0 0
## 113 0 0
## 102 1 6
## 137 21 0
## 57 1 1
## 88 1 1
## 151 0 0
## 52 55 0
## 16 1 9
## 93 0 0
## 86 0 2
## 125 1 0
## 25 22 48
## 89 0 0
## 98 1 0
## 104 3 8
## 136 3 0
## 170 2 0
## 48 4 6
## 96 0 19
## 15 0 1
## 30 0 0
## 141 4 5
## 9 7 0
## 128 11 15
## 70 14 44
## 73 1 18
## 94 1 4
## 7 0 2
## 53 50 32
## 54 2 2
## 176 0 0
## 77 0 0
## 46 0 0
## 121 0 0
## 74 8 19
## 8 0 1
## 14 2 1
## 83 9 0
## 130 0 2
## 152 0 1
## 156 3 12
## 118 0 0
## 139 2 49
## 171 7 2
## 24 13 12
## 36 18 20
## 63 0 13
## 34 0 0
## 66 29 43
## 45 0 0
## 142 0 2
## 148 3 0
## 12 0 0
## 127 1 3
## 51 13 17
## 140 0 0
## 56 1 0
## 112 1 1
## 129 13 9
## 49 0 6
## 162 0 0
## 119 14 13
## 78 0 0
## 166 1 2
## 31 0 0
## 19 5 13
## 100 0 2
## 124 2 1
## 103 0 9
## 71 5 3
## 29 13 33
## 116 0 0
## 39 8 41
## 97 0 15
## 122 0 3
## 107 4 39
## 111 1 3
## 62 0 6
## 72 1 1
## 91 21 17
## 44 0 0
## 159 0 0
## 117 0 0
## 84 0 0
## 67 0 0
## 65 10 30
## 120 10 10
## 165 5 2
## 18 2 18
## 81 0 0
## 17 10 27
## 85 1 9
## 123 3 14
## 55 18 45
## 157 4 15
## 173 0 0
## 167 12 0
## 43 0 1
## 32 35 55
## 163 3 0
## 95 0 31
## 41 1 10
## 108 0 22
## 26 6 36
## 110 0 4
## 158 0 6
## 131 6 6
## 155 0 0
## 11 3 7
## 28 9 12
## 87 9 27
## 143 4 0
## 114 45 61
## 126 0 1
## OOSR_Lower_Secondary_Age_Female OOSR_Upper_Secondary_Age_Male
## 145 13 22
## 90 13 38
## 132 10 20
## 109 0 0
## 59 0 0
## 133 2 16
## 92 0 0
## 20 0 22
## 21 0 0
## 64 5 4
## 6 9 16
## 149 35 53
## 160 0 0
## 105 7 12
## 82 30 48
## 168 1 4
## 61 2 7
## 147 1 2
## 69 0 0
## 161 7 17
## 135 7 19
## 174 34 46
## 76 0 0
## 138 2 14
## 2 1 21
## 27 13 29
## 146 63 57
## 22 3 16
## 38 1 7
## 68 0 0
## 3 0 0
## 175 0 0
## 75 6 25
## 144 0 0
## 1 0 44
## 154 0 0
## 50 2 23
## 10 21 29
## 13 3 7
## 47 48 66
## 79 2 6
## 5 0 15
## 35 5 22
## 101 25 63
## 37 0 0
## 23 0 19
## 60 0 0
## 106 11 26
## 164 3 7
## 172 13 28
## 169 0 15
## 58 1 5
## 153 39 66
## 134 0 15
## 115 0 0
## 80 17 25
## 150 11 42
## 42 2 6
## 99 56 71
## 33 6 5
## 40 1 16
## 4 0 0
## 113 0 0
## 102 4 25
## 137 0 0
## 57 0 3
## 88 1 5
## 151 0 1
## 52 0 0
## 16 11 38
## 93 0 4
## 86 3 30
## 125 0 2
## 25 44 67
## 89 0 0
## 98 0 0
## 104 7 22
## 136 3 3
## 170 2 14
## 48 6 23
## 96 18 62
## 15 1 1
## 30 0 6
## 141 5 11
## 9 0 0
## 128 16 36
## 70 31 58
## 73 12 47
## 94 5 22
## 7 3 10
## 53 40 45
## 54 0 1
## 176 0 45
## 77 0 2
## 46 1 11
## 121 0 33
## 74 14 23
## 8 0 10
## 14 1 6
## 83 0 0
## 130 1 3
## 152 1 16
## 156 9 27
## 118 0 0
## 139 49 64
## 171 4 41
## 24 13 10
## 36 18 52
## 63 8 28
## 34 0 0
## 66 60 59
## 45 0 0
## 142 1 2
## 148 0 18
## 12 0 41
## 127 3 4
## 51 17 33
## 140 1 0
## 56 0 0
## 112 1 4
## 129 9 21
## 49 3 20
## 162 0 0
## 119 12 35
## 78 0 0
## 166 2 5
## 31 0 0
## 19 14 22
## 100 1 10
## 124 3 4
## 103 7 28
## 71 3 12
## 29 40 50
## 116 1 8
## 39 48 52
## 97 12 41
## 122 3 15
## 107 47 65
## 111 2 1
## 62 4 12
## 72 0 15
## 91 26 20
## 44 0 0
## 159 0 0
## 117 0 8
## 84 0 0
## 67 0 0
## 65 35 57
## 120 19 40
## 165 3 2
## 18 6 33
## 81 0 0
## 17 43 46
## 85 4 20
## 123 7 24
## 55 49 73
## 157 28 47
## 173 0 0
## 167 0 84
## 43 2 3
## 32 70 71
## 163 0 0
## 95 29 63
## 41 10 20
## 108 20 47
## 26 31 67
## 110 1 26
## 158 4 43
## 131 2 50
## 155 0 21
## 11 0 18
## 28 14 0
## 87 28 42
## 143 0 0
## 114 69 84
## 126 9 0
## OOSR_Upper_Secondary_Age_Female Completion_Rate_Primary_Male
## 145 20 95
## 90 29 69
## 132 21 99
## 109 0 75
## 59 0 66
## 133 14 0
## 92 0 0
## 20 19 99
## 21 0 95
## 64 6 0
## 6 4 99
## 149 50 66
## 160 0 94
## 105 10 95
## 82 43 96
## 168 3 0
## 61 4 100
## 147 1 0
## 69 0 49
## 161 17 99
## 135 16 79
## 174 68 70
## 76 0 78
## 138 11 99
## 2 15 94
## 27 24 0
## 146 72 31
## 22 14 95
## 38 5 98
## 68 0 96
## 3 0 93
## 175 0 71
## 75 27 0
## 144 0 0
## 1 69 67
## 154 0 99
## 50 24 91
## 10 24 0
## 13 3 99
## 47 67 0
## 79 5 0
## 5 7 91
## 35 20 91
## 101 59 68
## 37 0 78
## 23 16 0
## 60 0 64
## 106 30 0
## 164 4 100
## 172 19 0
## 169 9 96
## 58 4 0
## 153 66 0
## 134 5 0
## 115 0 71
## 80 22 99
## 150 34 80
## 42 8 0
## 99 79 50
## 33 5 96
## 40 11 0
## 4 0 63
## 113 0 0
## 102 17 0
## 137 0 44
## 57 5 0
## 88 4 0
## 151 3 0
## 52 0 0
## 16 35 95
## 93 2 0
## 86 26 99
## 125 4 0
## 25 65 32
## 89 0 0
## 98 0 0
## 104 20 96
## 136 9 0
## 170 15 0
## 48 21 88
## 96 76 43
## 15 2 0
## 30 6 0
## 141 11 0
## 9 0 0
## 128 35 99
## 70 54 81
## 73 48 92
## 94 17 0
## 7 6 0
## 53 53 0
## 54 2 0
## 176 50 86
## 77 1 0
## 46 9 0
## 121 30 93
## 74 22 91
## 8 9 0
## 14 4 100
## 83 0 100
## 130 3 0
## 152 20 0
## 156 22 77
## 118 0 64
## 139 67 63
## 171 46 0
## 24 14 0
## 36 48 75
## 63 28 69
## 34 0 97
## 66 76 52
## 45 0 67
## 142 1 0
## 148 13 99
## 12 36 76
## 127 4 0
## 51 35 84
## 140 0 0
## 56 0 0
## 112 1 0
## 129 19 0
## 49 18 98
## 162 0 100
## 119 31 95
## 78 0 0
## 166 4 0
## 31 0 54
## 19 22 0
## 100 7 0
## 124 4 0
## 103 24 98
## 71 12 0
## 29 58 75
## 116 7 0
## 39 64 60
## 97 32 0
## 122 21 95
## 107 73 44
## 111 1 0
## 62 16 0
## 72 11 0
## 91 31 36
## 44 0 100
## 159 0 0
## 117 17 0
## 84 0 77
## 67 0 29
## 65 61 80
## 120 51 0
## 165 2 0
## 18 22 67
## 81 0 0
## 17 66 51
## 85 17 0
## 123 17 89
## 55 75 47
## 157 66 83
## 173 0 96
## 167 88 75
## 43 3 0
## 32 85 31
## 163 0 39
## 95 64 52
## 41 15 100
## 108 38 82
## 26 62 46
## 110 13 81
## 158 33 98
## 131 49 48
## 155 21 98
## 11 6 0
## 28 0 68
## 87 46 84
## 143 0 0
## 114 89 35
## 126 0 0
## Completion_Rate_Primary_Female Completion_Rate_Lower_Secondary_Male
## 145 98 85
## 90 92 33
## 132 99 85
## 109 86 48
## 59 75 32
## 133 0 0
## 92 0 0
## 20 100 97
## 21 98 92
## 64 0 0
## 6 99 95
## 149 64 49
## 160 97 68
## 105 98 93
## 82 97 86
## 168 0 0
## 61 100 98
## 147 0 0
## 69 58 32
## 161 98 96
## 135 86 32
## 174 55 55
## 76 73 46
## 138 100 99
## 2 96 98
## 27 0 0
## 146 18 22
## 22 97 81
## 38 99 70
## 68 99 80
## 3 93 49
## 175 73 54
## 75 0 0
## 144 0 0
## 1 40 49
## 154 98 95
## 50 92 79
## 10 0 0
## 13 99 98
## 47 0 0
## 79 0 0
## 5 94 70
## 35 95 74
## 101 58 53
## 37 82 56
## 23 0 0
## 60 60 50
## 106 0 0
## 164 99 100
## 172 0 0
## 169 98 66
## 58 0 0
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## 150 90 41
## 42 0 0
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## 40 0 0
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## 113 0 0
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## 57 0 0
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## 125 0 0
## 25 29 13
## 89 0 0
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## 77 0 0
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## 8 0 0
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## 83 100 100
## 130 0 0
## 152 0 0
## 156 85 63
## 118 55 55
## 139 65 47
## 171 0 0
## 24 0 0
## 36 77 47
## 63 73 45
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## 66 39 33
## 45 66 58
## 142 0 0
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## 49 98 89
## 162 100 99
## 119 96 75
## 78 0 0
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## 19 0 0
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## 103 98 87
## 71 0 0
## 29 74 52
## 116 0 0
## 39 53 36
## 97 0 0
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## 72 0 0
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## 159 0 0
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## 85 0 0
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## 157 76 55
## 173 97 81
## 167 84 31
## 43 0 0
## 32 24 18
## 163 43 27
## 95 60 26
## 41 98 95
## 108 84 45
## 26 54 26
## 110 83 71
## 158 99 65
## 131 61 25
## 155 99 81
## 11 0 0
## 28 79 41
## 87 83 54
## 143 0 0
## 114 24 10
## 126 0 0
## Completion_Rate_Lower_Secondary_Female Completion_Rate_Upper_Secondary_Male
## 145 91 45
## 90 55 27
## 132 98 70
## 109 62 33
## 59 33 14
## 133 0 0
## 92 0 0
## 20 97 92
## 21 92 55
## 64 0 0
## 6 99 69
## 149 52 33
## 160 80 40
## 105 97 83
## 82 88 49
## 168 0 0
## 61 98 79
## 147 0 0
## 69 38 17
## 161 92 51
## 135 36 4
## 174 39 37
## 76 47 45
## 138 99 71
## 2 97 76
## 27 0 0
## 146 10 12
## 22 89 65
## 38 76 56
## 68 88 49
## 3 65 22
## 175 50 33
## 75 0 0
## 144 0 0
## 1 26 32
## 154 93 80
## 50 81 43
## 10 0 0
## 13 98 91
## 47 0 0
## 79 0 0
## 5 79 46
## 35 81 69
## 101 40 31
## 37 45 28
## 23 0 0
## 60 48 33
## 106 0 0
## 164 100 97
## 172 0 0
## 169 73 48
## 58 0 0
## 153 0 0
## 134 0 0
## 115 59 57
## 80 97 80
## 150 58 18
## 42 0 0
## 99 25 23
## 33 97 83
## 40 0 0
## 4 32 24
## 113 0 0
## 102 0 0
## 137 30 11
## 57 0 0
## 88 0 0
## 151 0 0
## 52 0 0
## 16 66 48
## 93 0 0
## 86 99 89
## 125 0 0
## 25 6 6
## 89 0 0
## 98 0 0
## 104 93 60
## 136 0 0
## 170 0 0
## 48 89 48
## 96 21 15
## 15 0 0
## 30 0 0
## 141 0 0
## 9 0 0
## 128 98 63
## 70 52 29
## 73 79 46
## 94 0 0
## 7 0 0
## 53 0 0
## 54 0 0
## 176 53 17
## 77 0 0
## 46 0 0
## 121 79 60
## 74 59 40
## 8 0 0
## 14 100 91
## 83 100 95
## 130 0 0
## 152 0 0
## 156 70 49
## 118 45 24
## 139 42 27
## 171 0 0
## 24 0 0
## 36 45 24
## 63 50 12
## 34 93 63
## 66 20 22
## 45 52 36
## 142 0 0
## 148 96 32
## 12 71 32
## 127 0 0
## 51 74 34
## 140 0 0
## 56 0 0
## 112 0 0
## 129 0 0
## 49 92 78
## 162 100 93
## 119 81 57
## 78 0 0
## 166 0 0
## 31 8 8
## 19 0 0
## 100 0 0
## 124 0 0
## 103 90 56
## 71 0 0
## 29 43 26
## 116 0 0
## 39 22 17
## 97 0 0
## 122 83 78
## 107 11 8
## 111 0 0
## 62 0 0
## 72 0 0
## 91 23 18
## 44 100 100
## 159 0 0
## 117 0 0
## 84 69 44
## 67 16 14
## 65 45 27
## 120 0 0
## 165 0 0
## 18 38 25
## 81 0 0
## 17 13 12
## 85 0 0
## 123 88 74
## 55 22 11
## 157 39 31
## 173 87 50
## 167 27 32
## 43 0 0
## 32 10 15
## 163 23 18
## 95 27 16
## 41 98 85
## 108 45 14
## 26 19 4
## 110 75 27
## 158 76 45
## 131 30 19
## 155 92 59
## 11 0 0
## 28 39 20
## 87 53 32
## 143 0 0
## 114 4 4
## 126 0 0
## Completion_Rate_Upper_Secondary_Female Grade_2_3_Proficiency_Reading
## 145 52 22
## 90 37 13
## 132 90 0
## 109 39 0
## 59 14 0
## 133 0 0
## 92 0 0
## 20 92 0
## 21 66 0
## 64 0 0
## 6 79 0
## 149 28 0
## 160 57 47
## 105 90 0
## 82 63 0
## 168 0 0
## 61 83 86
## 147 0 97
## 69 16 0
## 161 44 0
## 135 8 0
## 174 23 0
## 76 43 0
## 138 81 0
## 2 80 0
## 27 0 0
## 146 4 0
## 22 75 80
## 38 60 89
## 68 64 0
## 3 37 0
## 175 27 0
## 75 0 66
## 144 0 0
## 1 14 22
## 154 63 0
## 50 41 0
## 10 0 0
## 13 97 0
## 47 0 0
## 79 0 98
## 5 53 76
## 35 78 79
## 101 23 0
## 37 19 38
## 23 0 0
## 60 28 5
## 106 0 36
## 164 97 0
## 172 0 0
## 169 29 80
## 58 0 0
## 153 0 0
## 134 0 0
## 115 44 0
## 80 83 0
## 150 26 30
## 42 0 0
## 99 12 0
## 33 88 94
## 40 0 0
## 4 15 0
## 113 0 61
## 102 0 0
## 137 10 29
## 57 0 98
## 88 0 99
## 151 0 98
## 52 0 0
## 16 51 0
## 93 0 0
## 86 85 39
## 125 0 97
## 25 2 36
## 89 0 0
## 98 0 0
## 104 73 44
## 136 0 63
## 170 0 0
## 48 66 44
## 96 13 0
## 15 0 0
## 30 0 96
## 141 0 0
## 9 0 0
## 128 71 0
## 70 35 70
## 73 40 47
## 94 0 0
## 7 0 94
## 53 0 0
## 54 0 0
## 176 14 20
## 77 0 98
## 46 0 97
## 121 67 61
## 74 37 0
## 8 0 0
## 14 94 0
## 83 96 0
## 130 0 0
## 152 0 0
## 156 55 0
## 118 23 35
## 139 18 6
## 171 0 0
## 24 0 0
## 36 32 0
## 63 9 0
## 34 67 82
## 66 13 0
## 45 27 0
## 142 0 96
## 148 43 0
## 12 27 47
## 127 0 0
## 51 36 0
## 140 0 97
## 56 0 0
## 112 0 90
## 129 0 0
## 49 79 74
## 162 95 0
## 119 68 65
## 78 0 91
## 166 0 0
## 31 6 0
## 19 0 0
## 100 0 73
## 124 0 98
## 103 60 78
## 71 0 0
## 29 21 30
## 116 0 99
## 39 15 17
## 97 0 0
## 122 72 80
## 107 5 0
## 111 0 99
## 62 0 0
## 72 0 0
## 91 9 0
## 44 100 94
## 159 0 80
## 117 0 59
## 84 38 53
## 67 8 0
## 65 25 68
## 120 0 0
## 165 0 68
## 18 18 0
## 81 0 0
## 17 5 9
## 85 0 0
## 123 83 0
## 55 14 0
## 157 12 19
## 173 61 0
## 167 27 0
## 43 0 97
## 32 6 18
## 163 15 33
## 95 15 13
## 41 86 0
## 108 19 0
## 26 3 79
## 110 28 0
## 158 56 0
## 131 16 0
## 155 72 0
## 11 0 69
## 28 20 0
## 87 31 0
## 143 0 0
## 114 1 9
## 126 0 66
## Grade_2_3_Proficiency_Math Primary_End_Proficiency_Reading
## 145 0 0
## 90 0 0
## 132 0 0
## 109 0 35
## 59 0 0
## 133 0 0
## 92 0 0
## 20 0 0
## 21 0 0
## 64 0 0
## 6 0 0
## 149 0 0
## 160 0 0
## 105 0 0
## 82 0 0
## 168 0 0
## 61 47 0
## 147 67 0
## 69 0 0
## 161 0 0
## 135 0 0
## 174 0 0
## 76 0 0
## 138 0 0
## 2 0 0
## 27 0 0
## 146 0 0
## 22 71 53
## 38 84 68
## 68 0 0
## 3 0 0
## 175 0 0
## 75 33 0
## 144 0 0
## 1 25 13
## 154 0 0
## 50 0 0
## 10 0 0
## 13 0 0
## 47 0 0
## 79 69 0
## 5 71 46
## 35 64 55
## 101 0 0
## 37 72 17
## 23 0 0
## 60 0 0
## 106 16 0
## 164 0 0
## 172 0 0
## 169 75 59
## 58 0 94
## 153 0 0
## 134 0 0
## 115 0 0
## 80 0 0
## 150 0 0
## 42 74 0
## 99 0 0
## 33 90 70
## 40 0 0
## 4 0 0
## 113 44 31
## 102 0 88
## 137 63 35
## 57 82 0
## 88 0 0
## 151 75 0
## 52 0 0
## 16 0 0
## 93 0 97
## 86 0 36
## 125 82 0
## 25 59 21
## 89 0 0
## 98 0 0
## 104 0 0
## 136 16 0
## 170 0 0
## 48 25 21
## 96 0 0
## 15 0 0
## 30 69 0
## 141 0 93
## 9 0 81
## 128 0 0
## 70 57 31
## 73 53 46
## 94 0 0
## 7 70 0
## 53 0 0
## 54 0 0
## 176 0 0
## 77 84 0
## 46 80 0
## 121 47 29
## 74 18 0
## 8 0 98
## 14 0 0
## 83 0 98
## 130 0 99
## 152 0 0
## 156 0 0
## 118 0 0
## 139 0 0
## 171 0 0
## 24 0 95
## 36 0 0
## 63 0 0
## 34 85 0
## 66 0 0
## 45 0 0
## 142 75 0
## 148 0 0
## 12 34 44
## 127 97 0
## 51 0 0
## 140 93 0
## 56 0 0
## 112 59 0
## 129 0 0
## 49 65 38
## 162 0 0
## 119 51 36
## 78 0 0
## 166 0 0
## 31 0 0
## 19 0 0
## 100 0 0
## 124 80 0
## 103 77 58
## 71 0 97
## 29 57 24
## 116 86 0
## 39 33 22
## 97 0 0
## 122 70 46
## 107 0 0
## 111 83 0
## 62 0 95
## 72 0 0
## 91 0 0
## 44 0 0
## 159 0 0
## 117 32 0
## 84 42 0
## 67 0 0
## 65 52 36
## 120 0 0
## 165 42 0
## 18 0 0
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## 123 0 0
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## 173 0 55
## 167 0 0
## 43 78 0
## 32 48 3
## 163 21 0
## 95 0 4
## 41 0 0
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## 110 0 0
## 158 0 0
## 131 0 0
## 155 0 0
## 11 40 0
## 28 0 50
## 87 0 0
## 143 0 0
## 114 27 2
## 126 36 0
## Primary_End_Proficiency_Math Lower_Secondary_End_Proficiency_Reading
## 145 13 0
## 90 0 0
## 132 0 0
## 109 6 0
## 59 0 0
## 133 0 0
## 92 0 0
## 20 0 46
## 21 16 0
## 64 0 69
## 6 55 0
## 149 0 0
## 160 0 28
## 105 0 56
## 82 0 59
## 168 0 81
## 61 0 36
## 147 0 84
## 69 0 0
## 161 57 74
## 135 0 0
## 174 0 0
## 76 0 0
## 138 72 62
## 2 0 48
## 27 0 0
## 146 0 0
## 22 52 50
## 38 60 58
## 68 0 0
## 3 0 21
## 175 0 5
## 75 0 0
## 144 0 0
## 1 11 0
## 154 0 0
## 50 0 0
## 10 0 0
## 13 0 0
## 47 0 0
## 79 0 77
## 5 56 48
## 35 48 50
## 101 0 0
## 37 6 0
## 23 0 48
## 60 0 0
## 106 0 27
## 164 0 74
## 172 0 0
## 169 68 58
## 58 58 79
## 153 0 0
## 134 0 0
## 115 0 0
## 80 0 0
## 150 0 0
## 42 0 56
## 99 0 0
## 33 75 68
## 40 67 78
## 4 0 0
## 113 20 0
## 102 78 0
## 137 29 9
## 57 0 86
## 88 0 78
## 151 0 82
## 52 0 0
## 16 0 0
## 93 81 76
## 86 35 0
## 125 0 80
## 25 22 0
## 89 0 32
## 98 0 0
## 104 0 0
## 136 0 48
## 170 0 0
## 48 12 21
## 96 0 0
## 15 0 79
## 30 0 86
## 141 65 69
## 9 0 0
## 128 0 57
## 70 32 30
## 73 44 0
## 94 0 71
## 7 64 80
## 53 0 0
## 54 0 89
## 176 0 0
## 77 0 88
## 46 0 84
## 121 23 32
## 74 0 30
## 8 0 76
## 14 0 77
## 83 80 36
## 130 89 78
## 152 0 76
## 156 0 0
## 118 0 0
## 139 0 0
## 171 0 0
## 24 75 53
## 36 0 0
## 63 0 0
## 34 0 80
## 66 0 0
## 45 0 0
## 142 0 82
## 148 0 0
## 12 32 54
## 127 0 85
## 51 0 0
## 140 0 89
## 56 0 0
## 112 0 81
## 129 0 59
## 49 48 49
## 162 0 0
## 119 23 36
## 78 0 69
## 166 0 83
## 31 0 0
## 19 0 0
## 100 0 64
## 124 0 85
## 103 69 55
## 71 75 75
## 29 12 0
## 116 70 81
## 39 3 0
## 97 0 54
## 122 53 46
## 107 0 0
## 111 0 76
## 62 77 79
## 72 0 74
## 91 0 0
## 44 0 0
## 159 0 58
## 117 0 0
## 84 0 0
## 67 0 0
## 65 34 30
## 120 0 0
## 165 0 57
## 18 0 56
## 81 0 83
## 17 11 0
## 85 0 0
## 123 0 19
## 55 0 0
## 157 20 0
## 173 51 86
## 167 0 0
## 43 0 79
## 32 3 0
## 163 0 0
## 95 5 0
## 41 0 0
## 108 0 0
## 26 40 0
## 110 0 0
## 158 0 0
## 131 0 0
## 155 0 40
## 11 0 0
## 28 0 8
## 87 0 0
## 143 0 0
## 114 1 0
## 126 0 49
## Lower_Secondary_End_Proficiency_Math Youth_15_24_Literacy_Rate_Male
## 145 0 0
## 90 0 0
## 132 0 0
## 109 0 94
## 59 0 88
## 133 0 0
## 92 0 0
## 20 42 0
## 21 0 0
## 64 64 99
## 6 50 0
## 149 0 73
## 160 25 0
## 105 54 99
## 82 41 99
## 168 73 0
## 61 39 0
## 147 75 100
## 69 0 0
## 161 42 0
## 135 0 98
## 174 0 0
## 76 0 0
## 138 60 0
## 2 58 99
## 27 0 0
## 146 0 48
## 22 32 99
## 38 40 99
## 68 0 0
## 3 19 98
## 175 2 93
## 75 34 0
## 144 0 0
## 1 0 74
## 154 0 0
## 50 21 0
## 10 0 0
## 13 0 0
## 47 0 0
## 79 62 100
## 5 31 99
## 35 35 99
## 101 0 0
## 37 0 85
## 23 52 100
## 60 0 0
## 106 14 98
## 164 64 0
## 172 0 0
## 169 49 99
## 58 79 0
## 153 0 0
## 134 0 99
## 115 0 82
## 80 0 0
## 150 0 99
## 42 63 0
## 99 0 58
## 33 28 0
## 40 69 0
## 4 0 0
## 113 0 0
## 102 0 99
## 137 8 0
## 57 85 0
## 88 83 100
## 151 81 0
## 52 0 0
## 16 0 0
## 93 74 0
## 86 0 100
## 125 77 100
## 25 0 62
## 89 35 100
## 98 0 0
## 104 0 98
## 136 11 0
## 170 0 100
## 48 9 0
## 96 0 0
## 15 80 0
## 30 84 0
## 141 75 0
## 9 0 0
## 128 50 0
## 70 15 95
## 73 0 93
## 94 73 0
## 7 78 0
## 53 0 94
## 54 90 0
## 176 0 0
## 77 84 0
## 46 85 0
## 121 8 98
## 74 28 100
## 8 79 0
## 14 71 100
## 83 51 100
## 130 78 100
## 152 83 0
## 156 0 82
## 118 0 0
## 139 0 71
## 171 0 96
## 24 56 0
## 36 0 78
## 63 0 93
## 34 79 100
## 66 0 70
## 45 0 0
## 142 84 0
## 148 0 99
## 12 57 94
## 127 85 0
## 51 0 98
## 140 94 100
## 56 0 0
## 112 78 0
## 129 53 99
## 49 29 0
## 162 0 0
## 119 19 99
## 78 66 0
## 166 81 0
## 31 0 48
## 19 0 0
## 100 62 99
## 124 85 0
## 103 44 99
## 71 67 0
## 29 0 88
## 116 81 0
## 39 0 64
## 97 59 97
## 122 40 99
## 107 0 0
## 111 84 0
## 62 79 0
## 72 79 0
## 91 0 0
## 44 0 0
## 159 48 0
## 117 23 98
## 84 0 88
## 67 0 0
## 65 11 0
## 120 0 0
## 165 46 0
## 18 0 0
## 81 89 0
## 17 0 70
## 85 18 99
## 123 19 0
## 55 0 0
## 157 0 0
## 173 81 98
## 167 0 0
## 43 80 0
## 32 0 0
## 163 0 89
## 95 0 82
## 41 0 0
## 108 0 0
## 26 0 0
## 110 0 94
## 158 0 99
## 131 0 84
## 155 47 98
## 11 39 100
## 28 10 0
## 87 0 0
## 143 0 0
## 114 0 51
## 126 36 0
## Youth_15_24_Literacy_Rate_Female Birth_Rate
## 145 0 20.51
## 90 0 26.81
## 132 0 12.00
## 109 96 28.64
## 59 91 31.61
## 133 0 14.24
## 92 0 18.83
## 20 0 8.11
## 21 0 24.82
## 64 99 8.10
## 6 0 13.99
## 149 73 32.18
## 160 0 17.56
## 105 99 11.73
## 82 99 21.98
## 168 0 11.60
## 61 0 13.47
## 147 100 7.90
## 69 0 24.35
## 161 0 16.03
## 135 98 31.54
## 174 0 30.45
## 76 0 29.08
## 138 0 9.20
## 2 100 11.78
## 27 0 19.49
## 146 47 35.01
## 22 99 13.92
## 38 100 13.97
## 68 0 19.97
## 3 97 24.28
## 175 92 36.19
## 75 0 18.78
## 144 0 41.75
## 1 56 32.49
## 154 0 30.76
## 50 0 26.38
## 10 0 13.97
## 13 0 10.65
## 47 0 21.47
## 79 100 7.30
## 5 100 17.02
## 35 99 14.88
## 101 0 33.69
## 37 79 32.86
## 23 100 14.90
## 60 0 38.54
## 106 97 18.94
## 164 0 8.70
## 172 0 17.88
## 169 99 13.86
## 58 0 11.30
## 153 0 23.69
## 134 99 24.38
## 115 68 37.91
## 80 0 16.10
## 150 98 18.54
## 42 0 10.46
## 99 43 41.54
## 33 0 12.43
## 40 0 9.00
## 4 0 40.73
## 113 0 20.64
## 102 99 10.20
## 137 0 34.52
## 57 0 8.60
## 88 100 10.00
## 151 0 11.40
## 52 0 33.24
## 16 0 20.79
## 93 0 10.00
## 86 100 27.10
## 125 100 8.50
## 25 55 37.93
## 89 100 17.55
## 98 0 14.20
## 104 99 24.13
## 136 0 17.80
## 170 100 23.30
## 48 0 19.51
## 96 0 34.12
## 15 0 10.30
## 30 0 10.10
## 141 0 10.60
## 9 0 14.00
## 128 0 10.10
## 70 98 21.60
## 73 90 17.86
## 94 0 10.30
## 7 0 12.60
## 53 93 30.30
## 54 0 10.90
## 176 0 30.68
## 77 0 12.50
## 46 0 10.60
## 121 99 20.57
## 74 100 18.07
## 8 0 9.70
## 14 100 9.90
## 83 100 21.77
## 130 100 11.50
## 152 0 10.00
## 156 85 29.42
## 118 0 28.25
## 139 63 33.41
## 171 97 29.60
## 24 0 8.90
## 36 78 31.88
## 63 92 29.41
## 34 100 10.90
## 66 43 36.36
## 45 0 41.18
## 142 0 9.40
## 148 99 15.83
## 12 96 18.18
## 127 0 6.40
## 51 98 18.25
## 140 100 8.80
## 56 0 21.28
## 112 0 11.98
## 129 99 9.60
## 49 0 19.72
## 162 0 23.83
## 119 99 18.98
## 78 0 20.80
## 166 0 11.00
## 31 29 35.35
## 19 0 21.75
## 100 100 9.20
## 124 0 10.20
## 103 99 17.60
## 71 0 9.60
## 29 82 35.39
## 116 0 10.40
## 39 53 35.74
## 97 97 16.75
## 122 99 17.95
## 107 0 37.52
## 111 0 9.70
## 62 0 9.50
## 72 0 12.00
## 91 0 33.04
## 44 0 13.89
## 159 0 12.94
## 117 99 19.19
## 84 88 28.75
## 67 0 35.13
## 65 0 24.56
## 120 0 27.07
## 165 0 10.33
## 18 0 17.26
## 81 0 7.40
## 17 52 36.22
## 85 100 13.94
## 123 0 20.55
## 55 0 32.34
## 157 0 33.11
## 173 98 16.75
## 167 0 36.70
## 43 0 10.70
## 32 0 42.17
## 163 90 38.14
## 95 81 32.66
## 41 0 10.17
## 108 0 17.55
## 26 0 39.01
## 110 91 19.89
## 158 100 24.30
## 131 89 31.70
## 155 99 10.34
## 11 99 13.99
## 28 0 22.46
## 87 0 23.55
## 143 0 32.44
## 114 36 46.08
## 126 0 9.54
## Gross_Primary_Education_Enrollment Gross_Tertiary_Education_Enrollment
## 145 100.9 22.4
## 90 120.9 10.2
## 132 102.6 14.1
## 109 124.2 22.9
## 59 139.9 8.3
## 133 113.4 23.7
## 92 109.0 60.5
## 20 0.0 23.3
## 21 103.2 24.9
## 64 99.6 136.6
## 6 92.7 54.6
## 149 76.8 16.9
## 160 115.4 31.7
## 105 100.0 56.1
## 82 81.5 34.4
## 168 101.8 88.2
## 61 98.6 63.9
## 147 102.7 88.9
## 69 113.6 1.1
## 161 93.2 23.9
## 135 106.8 13.4
## 174 93.6 10.2
## 76 108.7 16.2
## 138 100.3 67.2
## 2 107.0 55.0
## 27 104.0 23.6
## 146 73.0 0.0
## 22 115.4 51.3
## 38 113.3 55.2
## 68 97.8 11.6
## 3 109.9 51.4
## 175 98.7 4.1
## 75 110.7 68.1
## 144 23.4 2.5
## 1 104.0 9.7
## 154 100.9 31.3
## 50 106.3 35.2
## 10 81.4 15.1
## 13 99.4 65.4
## 47 75.3 5.3
## 79 101.9 61.9
## 5 109.7 90.0
## 35 114.5 55.3
## 101 99.9 5.0
## 37 106.6 12.7
## 23 103.2 31.4
## 60 98.0 2.7
## 106 113.9 35.9
## 164 99.0 82.7
## 172 97.2 79.3
## 169 108.5 63.1
## 58 102.5 65.6
## 153 81.7 40.1
## 134 110.5 7.6
## 115 84.7 10.2
## 80 91.0 27.1
## 150 108.8 12.6
## 42 99.3 75.9
## 99 75.6 4.5
## 33 101.4 88.5
## 40 96.5 67.9
## 4 113.5 9.3
## 113 120.6 17.4
## 102 101.1 40.6
## 137 81.0 12.8
## 57 100.2 88.2
## 88 99.4 88.1
## 151 126.6 67.0
## 52 61.8 1.9
## 16 111.7 24.7
## 93 103.9 72.4
## 86 107.6 41.3
## 125 106.2 63.9
## 25 96.1 6.5
## 89 95.1 26.3
## 98 97.1 31.2
## 104 104.0 65.6
## 136 99.8 68.0
## 170 104.2 10.1
## 48 105.7 59.9
## 96 142.5 0.8
## 15 103.9 79.7
## 30 100.9 68.9
## 141 98.7 46.6
## 9 99.7 27.7
## 128 90.6 39.8
## 70 91.5 26.2
## 73 113.0 28.1
## 94 102.3 19.2
## 7 100.3 113.1
## 53 68.4 3.4
## 54 97.2 69.6
## 176 109.9 10.0
## 77 100.9 77.8
## 46 101.3 80.6
## 121 104.4 34.6
## 74 106.4 36.3
## 8 103.1 85.1
## 14 100.5 87.4
## 83 104.4 61.7
## 130 102.6 81.9
## 152 105.2 59.6
## 156 115.3 17.8
## 118 94.3 9.0
## 139 112.8 2.0
## 171 109.3 4.7
## 24 89.3 71.0
## 36 99.5 9.0
## 63 104.8 15.7
## 34 100.2 50.6
## 66 91.5 11.6
## 45 108.0 6.6
## 142 100.4 78.6
## 148 100.2 19.6
## 12 116.5 20.6
## 127 98.1 94.3
## 51 94.8 29.4
## 140 100.6 84.8
## 56 106.4 16.1
## 112 100.0 82.0
## 129 85.2 49.4
## 49 103.3 44.9
## 162 88.4 8.0
## 119 94.4 47.8
## 78 104.9 63.4
## 166 101.2 60.0
## 31 102.0 3.0
## 19 98.2 0.0
## 100 105.0 54.3
## 124 100.0 67.8
## 103 105.8 40.2
## 71 100.8 48.5
## 29 103.4 12.8
## 116 100.3 82.0
## 39 99.8 9.3
## 97 105.3 45.1
## 122 106.9 70.7
## 107 112.6 7.3
## 111 104.2 85.0
## 62 104.0 70.2
## 72 100.4 71.8
## 91 85.1 11.9
## 44 112.8 27.0
## 159 106.2 12.0
## 117 103.4 38.0
## 84 103.2 11.5
## 67 118.7 2.6
## 65 101.9 21.8
## 120 108.5 1.8
## 165 108.4 36.8
## 18 100.1 15.6
## 81 98.8 63.2
## 17 122.0 12.3
## 85 92.4 54.4
## 123 107.5 35.5
## 55 101.0 8.1
## 157 123.8 14.5
## 173 110.6 28.5
## 167 94.2 4.0
## 43 100.7 64.1
## 32 86.8 3.3
## 163 102.7 4.8
## 95 142.5 5.4
## 41 101.9 41.4
## 108 112.3 18.8
## 26 121.4 6.1
## 110 142.1 12.4
## 158 116.3 6.4
## 131 133.0 6.7
## 155 99.8 49.3
## 11 99.4 50.5
## 28 107.4 13.7
## 87 102.4 15.0
## 143 106.2 0.0
## 114 74.7 4.4
## 126 103.8 17.9
## Unemployment_Rate
## 145 28.18
## 90 23.41
## 132 20.71
## 109 20.27
## 59 20.00
## 133 18.88
## 92 18.56
## 20 18.42
## 21 18.19
## 64 17.24
## 6 16.99
## 149 16.53
## 160 16.02
## 105 14.88
## 82 14.72
## 168 14.70
## 61 14.40
## 147 13.96
## 69 13.78
## 161 13.49
## 135 13.37
## 174 12.91
## 76 12.82
## 138 12.69
## 2 12.33
## 27 12.25
## 146 12.24
## 22 12.08
## 38 11.85
## 68 11.85
## 3 11.70
## 175 11.43
## 75 11.38
## 144 11.35
## 1 11.12
## 154 11.02
## 50 10.76
## 10 10.36
## 13 10.33
## 47 10.30
## 79 9.89
## 5 9.79
## 35 9.71
## 101 9.55
## 37 9.47
## 23 9.12
## 60 9.06
## 106 9.02
## 164 8.88
## 172 8.80
## 169 8.73
## 58 8.43
## 153 8.37
## 134 8.36
## 115 8.10
## 80 8.00
## 150 7.33
## 42 7.27
## 99 7.22
## 33 7.09
## 40 6.93
## 4 6.89
## 113 6.84
## 102 6.67
## 137 6.60
## 57 6.59
## 88 6.52
## 151 6.48
## 52 6.43
## 16 6.41
## 93 6.35
## 86 6.33
## 125 6.33
## 25 6.26
## 89 6.23
## 98 6.14
## 104 6.01
## 136 5.93
## 170 5.92
## 48 5.84
## 96 5.65
## 15 5.59
## 30 5.56
## 141 5.56
## 9 5.51
## 128 5.47
## 70 5.39
## 73 5.36
## 94 5.36
## 7 5.27
## 53 5.14
## 54 5.11
## 176 4.95
## 77 4.93
## 46 4.91
## 121 4.81
## 74 4.69
## 8 4.67
## 14 4.59
## 83 4.59
## 130 4.59
## 152 4.58
## 156 4.55
## 118 4.45
## 139 4.43
## 171 4.39
## 24 4.34
## 36 4.34
## 63 4.33
## 34 4.32
## 66 4.30
## 45 4.24
## 142 4.20
## 148 4.20
## 12 4.19
## 127 4.15
## 51 4.11
## 140 4.11
## 56 4.10
## 112 4.07
## 129 3.98
## 49 3.97
## 162 3.91
## 119 3.90
## 78 3.86
## 166 3.85
## 31 3.68
## 19 3.50
## 100 3.47
## 124 3.47
## 103 3.42
## 71 3.40
## 29 3.38
## 116 3.35
## 39 3.32
## 97 3.32
## 122 3.31
## 107 3.24
## 111 3.20
## 62 3.04
## 72 2.84
## 91 2.81
## 44 2.74
## 159 2.69
## 117 2.67
## 84 2.64
## 67 2.47
## 65 2.46
## 120 2.46
## 165 2.35
## 18 2.34
## 81 2.29
## 17 2.23
## 85 2.18
## 123 2.15
## 55 2.08
## 157 2.04
## 173 2.01
## 167 1.98
## 43 1.93
## 32 1.89
## 163 1.84
## 95 1.76
## 41 1.64
## 108 1.58
## 26 1.43
## 110 1.41
## 158 1.12
## 131 1.03
## 155 0.75
## 11 0.71
## 28 0.68
## 87 0.63
## 143 0.58
## 114 0.47
## 126 0.09
#Mengambil 15 negara dengan tingkat pengangguran tertinggi
data.edu<-head(edu.data, 15)
data.edu
## Countries.and.areas Latitude Longitude
## 145 South Africa 30.559482 22.937506
## 90 Lesotho 29.609988 28.233608
## 132 Saint Lucia 13.909444 60.978893
## 109 Namibia 22.957640 18.490410
## 59 Gabon 0.803689 11.609444
## 133 Saint Vincent and the Grenadines 12.984305 61.287228
## 92 Libya 26.335100 17.228331
## 20 Bosnia and Herzegovina 43.915886 17.679076
## 21 Botswana 22.328474 24.684866
## 64 Greece 39.074208 21.824312
## 6 Armenia 40.069099 45.038189
## 149 Sudan 12.862807 30.217636
## 160 Tunisia 33.886917 9.537499
## 105 Montenegro 42.708678 19.374390
## 82 Jordan 31.302848 36.786839
## OOSR_Pre0Primary_Age_Male OOSR_Pre0Primary_Age_Female OOSR_Primary_Age_Male
## 145 28 27 12
## 90 58 57 3
## 132 5 0 3
## 109 33 30 0
## 59 0 0 0
## 133 9 3 0
## 92 0 0 0
## 20 72 73 0
## 21 79 78 12
## 64 6 5 2
## 6 52 50 9
## 149 60 60 31
## 160 0 0 0
## 105 23 24 3
## 82 55 55 18
## OOSR_Primary_Age_Female OOSR_Lower_Secondary_Age_Male
## 145 10 16
## 90 2 21
## 132 0 9
## 109 0 0
## 59 0 0
## 133 0 1
## 92 0 0
## 20 0 0
## 21 10 0
## 64 1 3
## 6 9 11
## 149 35 33
## 160 0 0
## 105 3 8
## 82 19 29
## OOSR_Lower_Secondary_Age_Female OOSR_Upper_Secondary_Age_Male
## 145 13 22
## 90 13 38
## 132 10 20
## 109 0 0
## 59 0 0
## 133 2 16
## 92 0 0
## 20 0 22
## 21 0 0
## 64 5 4
## 6 9 16
## 149 35 53
## 160 0 0
## 105 7 12
## 82 30 48
## OOSR_Upper_Secondary_Age_Female Completion_Rate_Primary_Male
## 145 20 95
## 90 29 69
## 132 21 99
## 109 0 75
## 59 0 66
## 133 14 0
## 92 0 0
## 20 19 99
## 21 0 95
## 64 6 0
## 6 4 99
## 149 50 66
## 160 0 94
## 105 10 95
## 82 43 96
## Completion_Rate_Primary_Female Completion_Rate_Lower_Secondary_Male
## 145 98 85
## 90 92 33
## 132 99 85
## 109 86 48
## 59 75 32
## 133 0 0
## 92 0 0
## 20 100 97
## 21 98 92
## 64 0 0
## 6 99 95
## 149 64 49
## 160 97 68
## 105 98 93
## 82 97 86
## Completion_Rate_Lower_Secondary_Female Completion_Rate_Upper_Secondary_Male
## 145 91 45
## 90 55 27
## 132 98 70
## 109 62 33
## 59 33 14
## 133 0 0
## 92 0 0
## 20 97 92
## 21 92 55
## 64 0 0
## 6 99 69
## 149 52 33
## 160 80 40
## 105 97 83
## 82 88 49
## Completion_Rate_Upper_Secondary_Female Grade_2_3_Proficiency_Reading
## 145 52 22
## 90 37 13
## 132 90 0
## 109 39 0
## 59 14 0
## 133 0 0
## 92 0 0
## 20 92 0
## 21 66 0
## 64 0 0
## 6 79 0
## 149 28 0
## 160 57 47
## 105 90 0
## 82 63 0
## Grade_2_3_Proficiency_Math Primary_End_Proficiency_Reading
## 145 0 0
## 90 0 0
## 132 0 0
## 109 0 35
## 59 0 0
## 133 0 0
## 92 0 0
## 20 0 0
## 21 0 0
## 64 0 0
## 6 0 0
## 149 0 0
## 160 0 0
## 105 0 0
## 82 0 0
## Primary_End_Proficiency_Math Lower_Secondary_End_Proficiency_Reading
## 145 13 0
## 90 0 0
## 132 0 0
## 109 6 0
## 59 0 0
## 133 0 0
## 92 0 0
## 20 0 46
## 21 16 0
## 64 0 69
## 6 55 0
## 149 0 0
## 160 0 28
## 105 0 56
## 82 0 59
## Lower_Secondary_End_Proficiency_Math Youth_15_24_Literacy_Rate_Male
## 145 0 0
## 90 0 0
## 132 0 0
## 109 0 94
## 59 0 88
## 133 0 0
## 92 0 0
## 20 42 0
## 21 0 0
## 64 64 99
## 6 50 0
## 149 0 73
## 160 25 0
## 105 54 99
## 82 41 99
## Youth_15_24_Literacy_Rate_Female Birth_Rate
## 145 0 20.51
## 90 0 26.81
## 132 0 12.00
## 109 96 28.64
## 59 91 31.61
## 133 0 14.24
## 92 0 18.83
## 20 0 8.11
## 21 0 24.82
## 64 99 8.10
## 6 0 13.99
## 149 73 32.18
## 160 0 17.56
## 105 99 11.73
## 82 99 21.98
## Gross_Primary_Education_Enrollment Gross_Tertiary_Education_Enrollment
## 145 100.9 22.4
## 90 120.9 10.2
## 132 102.6 14.1
## 109 124.2 22.9
## 59 139.9 8.3
## 133 113.4 23.7
## 92 109.0 60.5
## 20 0.0 23.3
## 21 103.2 24.9
## 64 99.6 136.6
## 6 92.7 54.6
## 149 76.8 16.9
## 160 115.4 31.7
## 105 100.0 56.1
## 82 81.5 34.4
## Unemployment_Rate
## 145 28.18
## 90 23.41
## 132 20.71
## 109 20.27
## 59 20.00
## 133 18.88
## 92 18.56
## 20 18.42
## 21 18.19
## 64 17.24
## 6 16.99
## 149 16.53
## 160 16.02
## 105 14.88
## 82 14.72
#Membuat data frame
data<-data.frame(
data.edu$Countries.and.areas,
data.edu$Youth_15_24_Literacy_Rate_Male,
data.edu$Youth_15_24_Literacy_Rate_Female,
data.edu$Gross_Primary_Education_Enrollment,
data.edu$Gross_Tertiary_Education_Enrollment,
data.edu$Unemployment_Rate)
data
## data.edu.Countries.and.areas data.edu.Youth_15_24_Literacy_Rate_Male
## 1 South Africa 0
## 2 Lesotho 0
## 3 Saint Lucia 0
## 4 Namibia 94
## 5 Gabon 88
## 6 Saint Vincent and the Grenadines 0
## 7 Libya 0
## 8 Bosnia and Herzegovina 0
## 9 Botswana 0
## 10 Greece 99
## 11 Armenia 0
## 12 Sudan 73
## 13 Tunisia 0
## 14 Montenegro 99
## 15 Jordan 99
## data.edu.Youth_15_24_Literacy_Rate_Female
## 1 0
## 2 0
## 3 0
## 4 96
## 5 91
## 6 0
## 7 0
## 8 0
## 9 0
## 10 99
## 11 0
## 12 73
## 13 0
## 14 99
## 15 99
## data.edu.Gross_Primary_Education_Enrollment
## 1 100.9
## 2 120.9
## 3 102.6
## 4 124.2
## 5 139.9
## 6 113.4
## 7 109.0
## 8 0.0
## 9 103.2
## 10 99.6
## 11 92.7
## 12 76.8
## 13 115.4
## 14 100.0
## 15 81.5
## data.edu.Gross_Tertiary_Education_Enrollment data.edu.Unemployment_Rate
## 1 22.4 28.18
## 2 10.2 23.41
## 3 14.1 20.71
## 4 22.9 20.27
## 5 8.3 20.00
## 6 23.7 18.88
## 7 60.5 18.56
## 8 23.3 18.42
## 9 24.9 18.19
## 10 136.6 17.24
## 11 54.6 16.99
## 12 16.9 16.53
## 13 31.7 16.02
## 14 56.1 14.88
## 15 34.4 14.72
data.num<-data.frame(
data.edu$Youth_15_24_Literacy_Rate_Male,
data.edu$Youth_15_24_Literacy_Rate_Female,
data.edu$Gross_Primary_Education_Enrollment,
data.edu$Gross_Tertiary_Education_Enrollment,
data.edu$Unemployment_Rate)
data.num
## data.edu.Youth_15_24_Literacy_Rate_Male
## 1 0
## 2 0
## 3 0
## 4 94
## 5 88
## 6 0
## 7 0
## 8 0
## 9 0
## 10 99
## 11 0
## 12 73
## 13 0
## 14 99
## 15 99
## data.edu.Youth_15_24_Literacy_Rate_Female
## 1 0
## 2 0
## 3 0
## 4 96
## 5 91
## 6 0
## 7 0
## 8 0
## 9 0
## 10 99
## 11 0
## 12 73
## 13 0
## 14 99
## 15 99
## data.edu.Gross_Primary_Education_Enrollment
## 1 100.9
## 2 120.9
## 3 102.6
## 4 124.2
## 5 139.9
## 6 113.4
## 7 109.0
## 8 0.0
## 9 103.2
## 10 99.6
## 11 92.7
## 12 76.8
## 13 115.4
## 14 100.0
## 15 81.5
## data.edu.Gross_Tertiary_Education_Enrollment data.edu.Unemployment_Rate
## 1 22.4 28.18
## 2 10.2 23.41
## 3 14.1 20.71
## 4 22.9 20.27
## 5 8.3 20.00
## 6 23.7 18.88
## 7 60.5 18.56
## 8 23.3 18.42
## 9 24.9 18.19
## 10 136.6 17.24
## 11 54.6 16.99
## 12 16.9 16.53
## 13 31.7 16.02
## 14 56.1 14.88
## 15 34.4 14.72
cor(data.num)
## data.edu.Youth_15_24_Literacy_Rate_Male
## data.edu.Youth_15_24_Literacy_Rate_Male 1.0000000
## data.edu.Youth_15_24_Literacy_Rate_Female 0.9998571
## data.edu.Gross_Primary_Education_Enrollment 0.1415923
## data.edu.Gross_Tertiary_Education_Enrollment 0.3156185
## data.edu.Unemployment_Rate -0.3971179
## data.edu.Youth_15_24_Literacy_Rate_Female
## data.edu.Youth_15_24_Literacy_Rate_Male 0.9998571
## data.edu.Youth_15_24_Literacy_Rate_Female 1.0000000
## data.edu.Gross_Primary_Education_Enrollment 0.1486621
## data.edu.Gross_Tertiary_Education_Enrollment 0.3077594
## data.edu.Unemployment_Rate -0.3909584
## data.edu.Gross_Primary_Education_Enrollment
## data.edu.Youth_15_24_Literacy_Rate_Male 0.14159230
## data.edu.Youth_15_24_Literacy_Rate_Female 0.14866206
## data.edu.Gross_Primary_Education_Enrollment 1.00000000
## data.edu.Gross_Tertiary_Education_Enrollment -0.03561678
## data.edu.Unemployment_Rate 0.21427389
## data.edu.Gross_Tertiary_Education_Enrollment
## data.edu.Youth_15_24_Literacy_Rate_Male 0.31561854
## data.edu.Youth_15_24_Literacy_Rate_Female 0.30775941
## data.edu.Gross_Primary_Education_Enrollment -0.03561678
## data.edu.Gross_Tertiary_Education_Enrollment 1.00000000
## data.edu.Unemployment_Rate -0.34802718
## data.edu.Unemployment_Rate
## data.edu.Youth_15_24_Literacy_Rate_Male -0.3971179
## data.edu.Youth_15_24_Literacy_Rate_Female -0.3909584
## data.edu.Gross_Primary_Education_Enrollment 0.2142739
## data.edu.Gross_Tertiary_Education_Enrollment -0.3480272
## data.edu.Unemployment_Rate 1.0000000
boxplot(data.num, main="WORLD EDUCATION DATA", names = c("YLRM","YLRF","GPEE","GTEE", "UER"),col="lightpink")
#YLRM=Youth_15_24_Literacy_Rate_Male
#YLRF=Youth_15_24_Literacy_Rate_Female
#GPEE=Gross_Primary_Education_Enrollment
#GTEE=Gross_Tertiary_Education_Enrollment
#UER=Unemployment_Rate