Dashboard 1. Quality of human development

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Dashboard 1. Quality of human development
Country groupings (terciles)
Top third Middle third   Bottom third
Three-colour coding is used to visualize partial grouping of countries by indicator. For each indicator countries are divided into three groups of approximately equal size (terciles): the top third, the middle third and the bottom third. Aggregates are colour coded using the same tercile cutoffs. See Notes after the table.
SDG4.c SDG4.a SDG4.1 SDG 7.1 SDG 6.1 SDG 6.2
Quality of health Quality of education Quality of standard of living
Lost health
expectancy
Physicians Hospital beds Pupil-teacher
ratio, primary school
Primary school
teachers trained to teach
Proportion of
schools with access to the Internet
Programme for
International Student Assessment (PISA) score
Vulnerable
employment
a Rural population
with access to electricity
Population using
improved drinking-water sources
Population using
improved sanitation facilities
HDI rank Country (%) (per 10,000 people) (pupils per teacher) (%) Mathematics b Reading c Science c (% of total
employment)
(%)
2016 2007-2017 d 2007-2014 d 2012-2017 d 2009-2017 d 2008-2013 d 2015 2015 2015 2017 2016 2015 2015
VERY HIGH HUMAN DEVELOPMENT
1 Norway 11.5 43.9 33 9 .. 100 502 513 498 5.2 100.0 100.0 98.1
2 Switzerland 11.8 42.5 50 10 .. .. 521 492 506 9.5 100.0 100.0 99.9
3 Australia 11.9 35.0 39 .. .. .. 494 503 510 10.8 100.0 100.0 100.0
4 Ireland 11.5 29.6 29 16 .. .. 504 521 503 11.9 100.0 98.9 92.2
5 Germany 11.7 41.9 82 12 .. .. 506 509 509 6.0 100.0 100.0 99.2
6 Iceland 11.4 37.9 32 10 .. .. 488 482 473 7.8 100.0 100.0 98.8
7 Hong Kong, China (SAR) .. .. .. 14 97 100 548 527 523 6.0 .. 100.0 96.3
7 Sweden 12.1 41.9 27 12 .. 100 494 500 493 6.4 100.0 100.0 99.3
9 Singapore 8.1 22.8 20 .. .. 100 e 564 535 556 8.3 .. 100.0 100.0
10 Netherlands 11.7 34.8 47 12 .. .. 512 503 509 12.7 100.0 100.0 97.7
11 Denmark 11.6 36.6 35 11 .. 100 511 500 502 5.8 100.0 100.0 99.6
12 Canada 11.6 25.4 27 .. .. .. 516 527 528 11.0 100.0 98.9 98.5
13 United States 12.7 25.7 29 14 .. .. 470 497 496 6.3 100.0 99.2 100.0
14 United Kingdom 11.6 28.3 29 17 .. 100 492 498 509 13.1 100.0 100.0 99.1
15 Finland 12.0 32.0 55 13 .. 100 511 526 531 10.1 100.0 100.0 99.4
16 New Zealand 11.4 30.6 23 14 .. .. 495 509 513 12.2 100.0 100.0 100.0
17 Belgium 11.8 30.1 65 11 .. 100 507 499 502 10.8 100.0 100.0 99.5
17 Liechtenstein .. .. .. 8 .. .. .. .. .. .. 100.0 100.0 100.0
19 Japan 11.2 23.7 137 16 .. 99 e 532 516 538 8.8 100.0 98.9 100.0
20 Austria 11.6 52.3 76 10 .. 100 497 485 495 8.1 100.0 100.0 100.0
21 Luxembourg 11.9 29.2 54 8 .. .. 486 481 483 6.1 100.0 100.0 97.6
22 Israel 11.4 35.8 33 12 .. .. 470 479 467 12.2 100.0 100.0 100.0
22 Korea (Republic of) 11.7 23.3 103 17 .. 100 524 517 516 24.1 100.0 99.6 99.9
24 France 11.5 32.4 64 18 .. .. 493 499 495 7.6 100.0 100.0 98.7
25 Slovenia 12.8 28.2 46 17 .. .. 510 505 513 10.6 100.0 99.5 99.1
26 Spain 11.2 38.7 31 13 .. 100 486 496 493 11.9 100.0 99.9 99.9
27 Czechia 12.5 36.8 68 19 .. 100 492 487 493 14.2 100.0 99.9 99.1
28 Italy 11.6 40.2 34 12 .. .. 490 485 481 17.7 100.0 100.0 99.3
29 Malta 11.4 39.1 48 13 .. 100 479 447 465 8.8 100.0 100.0 100.0
30 Estonia 12.4 34.3 53 11 .. 99 520 519 534 5.7 100.0 99.6 99.6
31 Greece 11.3 62.6 48 10 .. .. 454 467 455 26.5 100.0 100.0 99.0
32 Cyprus 9.1 25.0 35 12 .. 100 437 443 433 12.6 100.0 100.0 99.4
33 Poland 11.9 22.9 65 10 .. 81 504 506 501 17.0 100.0 97.9 98.1
34 United Arab Emirates 13.6 15.6 11 25 100 .. 427 434 437 0.4 100.0 99.6 100.0
35 Andorra .. 36.9 25 10 100 100 .. .. .. .. 100.0 100.0 100.0
35 Lithuania 11.9 43.8 70 13 .. 100 478 472 475 10.2 100.0 97.4 93.6
37 Qatar 12.1 19.6 12 12 49 53 402 402 418 0.2 100.0 100.0 100.0
38 Slovakia 11.8 34.5 60 15 .. .. 475 453 461 12.2 100.0 97.9 98.9
39 Brunei Darussalam 11.1 17.5 28 10 85 100 .. .. .. 5.1 100.0 99.5 96.3
39 Saudi Arabia 12.2 25.7 21 12 100 .. .. .. .. 3.0 100.0 100.0 100.0
41 Latvia 11.8 32.1 59 11 .. 100 482 488 490 8.9 100.0 98.6 92.9
41 Portugal 11.7 44.3 34 13 .. .. 492 498 501 13.1 100.0 99.9 99.4
43 Bahrain 13.9 9.2 21 12 84 100 .. .. .. 1.8 100.0 100.0 100.0
44 Chile 12.3 10.3 21 18 .. 78 e 423 459 447 23.9 100.0 100.0 99.9
45 Hungary 12.0 30.9 72 11 .. 99 477 470 477 5.9 100.0 100.0 98.0
46 Croatia 11.9 31.3 59 14 .. 100 464 487 475 8.7 100.0 99.6 97.5
47 Argentina 11.1 39.1 47 .. .. 36 456 f 475 f 475 f 21.4 100.0 99.6 94.8
48 Oman 14.8 19.2 17 .. .. 90 .. .. .. 9.1 100.0 90.9 99.3
49 Russian Federation 11.7 39.8 97 20 .. 80 e 494 495 487 6.3 100.0 96.4 88.8
50 Montenegro 11.3 23.4 40 .. .. .. 418 427 411 11.7 100.0 97.6 95.9
51 Bulgaria 11.3 40.0 64 18 .. .. 441 432 446 8.2 100.0 99.3 86.0
52 Romania 11.4 26.7 61 19 .. .. 444 434 435 25.7 100.0 100.0 81.8
53 Belarus 11.8 40.7 113 18 99 61 e .. .. .. 2.7 100.0 98.0 94.3
54 Bahamas 11.7 22.6 29 19 90 .. .. .. .. 14.6 100.0 97.8 92.0
55 Uruguay 10.7 37.4 25 12 100 96 418 437 435 23.9 100.0 99.2 95.7
56 Kuwait 11.3 26.1 22 9 79 .. .. .. .. 1.9 100.0 100.0 100.0
57 Malaysia 11.5 15.3 19 12 100 91 .. .. .. 22.2 100.0 96.4 99.6
58 Barbados 11.4 18.1 62 13 69 100 e .. .. .. 15.9 100.0 98.1 96.5
58 Kazakhstan 10.9 32.7 72 21 100 97 .. .. .. 25.6 100.0 91.1 97.8
HIGH HUMAN DEVELOPMENT
60 Iran (Islamic Republic of) 13.6 14.9 1 27 100 87 .. .. .. 41.4 100.0 94.9 88.3
60 Palau .. 11.9 48 .. .. .. .. .. .. .. 97.2 99.6 100.0
62 Seychelles 10.4 9.8 36 14 83 .. .. .. .. .. 100.0 96.3 100.0
63 Costa Rica 11.0 11.5 12 12 94 39 400 427 420 14.0 100.0 99.7 97.1
64 Turkey 13.6 17.5 25 18 .. 86 420 428 425 28.5 100.0 98.9 96.4
65 Mauritius 12.0 20.0 34 18 100 85 .. .. .. 16.2 100.0 99.9 93.1
66 Panama 11.0 15.9 22 22 99 22 .. .. .. 32.2 81.3 95.0 76.9
67 Serbia 11.7 24.6 54 15 56 .. .. .. .. 28.1 100.0 91.2 94.6
68 Albania 10.8 12.9 26 18 .. 96 413 405 427 57.2 100.0 91.4 97.7
69 Trinidad and Tobago 11.9 18.2 27 .. 88 56 e 417 427 425 16.5 100.0 96.9 92.1
70 Antigua and Barbuda 10.7 .. 21 14 65 88 .. .. .. .. 96.5 96.7 87.5
70 Georgia 10.6 47.8 26 9 95 100 404 401 411 57.0 100.0 93.3 84.9
72 Saint Kitts and Nevis .. .. 23 14 72 100 .. .. .. .. 100.0 .. ..
73 Cuba 11.6 75.2 53 9 100 .. .. .. .. 10.3 100.0 95.2 90.8
74 Mexico 11.6 22.3 15 27 97 12 e,g 408 423 416 27.2 100.0 98.3 89.2
75 Grenada 11.8 .. 35 15 63 61 .. .. .. .. 92.3 95.6 78.3
76 Sri Lanka 11.2 8.8 36 23 70 18 .. .. .. 40.1 94.6 92.3 94.2
77 Bosnia and Herzegovina 13.1 18.9 35 17 .. 100 .. .. .. 20.9 100.0 97.7 94.8
78 Venezuela (Bolivarian Republic of) 10.8 .. 9 .. .. .. .. .. .. 31.9 96.4 97.4 94.9
79 Brazil 12.1 18.5 23 22 .. 46 377 407 401 27.9 100.0 97.5 86.1
80 Azerbaijan 11.2 34.0 47 15 90 27 e .. .. .. 56.1 100.0 84.4 89.3
80 Lebanon 13.4 23.8 35 12 .. .. 396 347 386 25.6 100.0 92.3 95.4
80 The former Yugoslav Republic of Macedonia 11.5 28.8 45 14 .. .. 371 352 384 22.8 100.0 96.8 90.9
83 Armenia 11.4 28.0 39 .. .. 100 .. .. .. 41.6 100.0 98.9 91.6
83 Thailand 11.5 4.7 21 17 100 98 415 409 421 50.2 100.0 98.2 95.0
85 Algeria 14.2 12.1 17 24 100 53 360 350 376 27.9 99.0 93.5 87.5
86 China 10.1 36.3 38 17 .. .. 531 h 494 h 518 h 33.0 100.0 95.8 75.0
86 Ecuador 11.3 16.7 16 25 82 22 .. .. .. 45.6 99.8 92.6 86.1
88 Ukraine 11.7 30.0 90 13 86 .. .. .. .. 15.6 100.0 97.7 95.9
89 Peru 11.1 11.2 15 18 .. .. 387 398 397 50.3 75.6 89.9 76.8
90 Colombia 10.7 18.2 15 24 95 71 e 390 425 416 47.1 95.7 96.5 84.4
90 Saint Lucia 12.1 1.0 16 15 79 100 .. .. .. 29.1 98.4 98.2 90.9
92 Fiji 12.3 8.4 21 28 100 .. .. .. .. 38.4 98.0 93.7 95.7
92 Mongolia 11.3 32.6 68 30 100 91 .. .. .. 46.9 44.2 83.2 59.2
94 Dominican Republic 11.2 14.9 17 19 85 5 e 328 358 332 40.9 100.0 94.5 82.7
95 Jordan 10.6 34.3 18 18 100 85 380 408 409 9.5 100.0 98.6 96.7
95 Tunisia 12.8 12.9 21 16 100 81 367 361 386 20.8 100.0 94.2 93.1
97 Jamaica 12.0 4.7 17 26 100 93 e,i .. .. .. 37.9 96.0 92.9 85.4
98 Tonga 12.5 5.6 26 22 97 .. .. .. .. 54.5 96.6 99.9 93.5
99 Saint Vincent and the Grenadines 11.9 .. 52 15 84 68 .. .. .. 9.1 100.0 95.1 87.2
100 Suriname 12.0 .. 31 14 100 6 i,j .. .. .. 13.6 69.3 94.7 79.2
101 Botswana 13.1 3.8 18 23 99 23 .. .. .. 15.0 37.5 79.2 60.0
101 Maldives 11.0 36.1 43 10 83 100 e .. .. .. 20.7 100.0 97.9 95.9
103 Dominica .. .. 38 13 66 71 .. .. .. .. 100.0 96.5 77.9
104 Samoa 12.2 3.4 10 .. .. .. .. .. .. 32.0 100.0 95.5 96.6
105 Uzbekistan 10.7 24.5 44 21 99 .. .. .. .. 24.7 100.0 .. 100.0
106 Belize 11.3 8.3 11 21 73 .. .. .. .. 26.8 88.4 97.1 87.2
106 Marshall Islands .. 4.6 27 .. .. .. .. .. .. .. 89.1 78.2 86.9
108 Libya 13.4 20.9 37 .. .. .. .. .. .. 36.0 96.4 96.8 99.7
108 Turkmenistan 10.0 22.9 40 .. .. .. .. .. .. 21.1 100.0 94.5 96.6
110 Gabon 11.5 4.1 63 .. .. .. .. .. .. 32.2 55.0 87.5 40.9
110 Paraguay 12.0 12.9 13 24 92 9 .. .. .. 39.1 96.1 98.9 91.2
112 Moldova (Republic of) 11.1 32.0 62 17 99 .. 420 416 428 28.7 100.0 86.7 78.4
MEDIUM HUMAN DEVELOPMENT
113 Philippines 11.0 .. 10 30 100 12 e,k .. .. .. 35.4 86.3 90.5 75.0
113 South Africa 12.4 8.2 28 30 .. .. .. .. .. 9.6 67.9 84.7 73.1
115 Egypt 13.3 8.1 5 23 74 49 .. .. .. 20.1 100.0 98.4 93.2
116 Indonesia 11.0 2.0 9 14 .. 42 k 386 397 403 47.5 94.8 89.5 67.9
116 Viet Nam 11.5 8.2 20 20 100 .. 495 487 525 55.9 100.0 91.2 78.2
118 Bolivia (Plurinational State of) 11.9 4.7 11 18 58 .. .. .. .. 31.3 79.1 92.9 52.6
119 Palestine, State of .. .. .. 24 100 30 l .. .. .. 39.9 100.0 87.6 96.0
120 Iraq 15.5 8.5 13 .. .. .. .. .. .. 35.2 100.0 86.1 85.7
121 El Salvador 11.1 16.0 11 28 96 24 .. .. .. 35.7 98.8 93.0 91.1
122 Kyrgyzstan 11.0 18.5 48 25 21 6 .. .. .. 36.5 100.0 87.3 96.6
123 Morocco 14.1 6.2 9 27 100 3 .. .. .. 50.7 100.0 83.0 83.5
124 Nicaragua 11.4 9.1 9 .. 75 6 k .. .. .. 39.4 56.6 82.3 76.3
125 Cabo Verde 11.8 7.9 21 21 93 .. .. .. .. 37.5 91.8 86.5 65.2
125 Guyana 11.9 2.1 20 23 70 4 e,k .. .. .. 29.7 81.9 95.1 86.2
127 Guatemala 12.3 9.0 6 22 .. .. .. .. .. 34.7 86.4 93.6 67.4
127 Tajikistan 10.4 17.1 55 22 100 .. .. .. .. 47.5 100.0 74.1 95.5
129 Namibia 12.2 3.7 27 .. 96 .. .. .. .. 25.3 28.7 78.8 33.8
130 India 13.9 7.6 7 35 70 .. .. .. .. 77.5 77.6 87.6 44.2
131 Micronesia (Federated States of) 12.3 1.8 32 20 .. .. .. .. .. .. 70.7 88.4 ..
132 Timor-Leste 13.8 0.8 59 .. .. .. .. .. .. 49.4 49.2 70.2 44.0
133 Honduras 11.2 .. 7 28 .. .. .. .. .. 36.1 72.2 92.2 79.8
134 Bhutan 14.1 3.8 18 38 100 43 e .. .. .. 71.5 100.0 97.6 62.9
134 Kiribati 12.6 2.0 13 26 73 .. .. .. .. .. 82.2 64.4 39.8
136 Bangladesh 12.9 4.7 6 34 50 5 e .. .. .. 57.5 68.9 97.3 46.9
137 Congo 11.8 1.0 16 44 80 .. .. .. .. 74.9 22.6 68.3 15.0
138 Vanuatu 12.9 1.9 17 27 28 .. .. .. .. 73.5 46.4 90.5 53.5
139 Lao People's Democratic Republic 12.1 4.9 15 23 97 .. .. .. .. 82.9 80.3 80.4 72.6
140 Ghana 11.1 1.0 9 27 55 .. .. .. .. 66.1 66.6 77.8 14.3
141 Equatorial Guinea 9.7 .. 21 23 37 .. .. .. .. 35.7 52.6 49.6 74.5
142 Kenya 11.7 2.0 14 31 97 .. .. .. .. 54.3 39.3 58.5 29.8
143 Sao Tome and Principe 11.7 .. 29 31 27 .. .. .. .. 34.1 51.1 79.7 40.1
144 Eswatini (Kingdom of) 13.1 1.5 21 28 82 .. .. .. .. 19.1 61.2 67.6 58.0
144 Zambia 12.8 0.9 20 48 93 .. .. .. .. 77.6 2.7 61.2 31.1
146 Cambodia 12.4 1.4 7 43 100 7 e .. .. .. 51.0 36.5 75.0 48.8
147 Angola 10.9 1.4 8 .. 47 .. .. .. .. 66.7 16.0 41.0 39.4
148 Myanmar 12.6 5.7 6 22 98 .. .. .. .. 58.2 39.8 67.5 64.7
149 Nepal 12.7 6.0 50 21 97 5 .. .. .. 78.9 85.2 87.7 46.1
150 Pakistan 13.2 9.8 6 48 75 .. .. .. .. 59.7 98.8 88.5 58.3
151 Cameroon 12.1 0.8 13 43 59 .. .. .. .. 71.7 21.3 65.3 38.8
LOW HUMAN DEVELOPMENT
152 Solomon Islands 12.9 1.9 13 25 66 .. .. .. .. 62.7 41.5 64.0 31.3
153 Papua New Guinea 11.9 0.6 .. 45 100 .. .. .. .. 74.7 15.5 36.6 18.6
154 Tanzania (United Republic of) 11.6 0.2 7 43 99 .. .. .. .. 83.5 16.9 50.1 23.5
155 Syrian Arab Republic 12.6 15.5 15 .. .. .. .. .. .. 35.6 100.0 96.7 92.9
156 Zimbabwe 11.4 0.8 17 36 86 .. .. .. .. 65.7 15.6 66.6 38.6
157 Nigeria 11.3 4.0 5 .. 66 .. .. .. .. 80.4 41.1 67.3 32.6
158 Rwanda 11.9 0.6 16 58 90 .. .. .. .. 80.0 17.8 56.7 62.3
159 Lesotho 11.9 .. 13 34 83 10 .. .. .. 59.0 15.7 71.6 43.8
159 Mauritania 11.8 0.7 4 36 85 .. .. .. .. 45.0 2.3 m 69.6 44.6
161 Madagascar 11.8 1.4 2 41 15 .. .. .. .. 85.4 17.3 50.6 9.7
162 Uganda 12.2 0.9 5 43 .. .. .. .. .. 74.5 18.0 38.9 19.2
163 Benin 12.5 1.5 5 45 69 .. .. .. .. 88.0 18.0 67.0 13.9
164 Senegal 12.0 0.7 3 32 70 5 .. .. .. 44.3 38.3 75.2 48.4
165 Comoros 11.5 .. 22 28 75 .. .. .. .. 63.9 72.2 83.7 34.2
165 Togo 11.0 0.5 7 41 73 .. .. .. .. 80.3 19.4 62.8 13.9
167 Sudan 14.4 30.6 8 .. 60 4 .. .. .. 40.5 22.2 58.9 34.6
168 Afghanistan 15.5 3.0 5 44 .. .. .. .. .. 66.1 79.0 63.0 39.2
168 Haiti 12.9 .. 13 .. .. .. .. .. .. 87.5 0.5 n 64.2 30.5
170 Côte d'Ivoire 11.6 1.4 4 43 100 .. .. .. .. 73.3 38.1 73.1 29.9
171 Malawi 12.5 0.2 13 70 91 .. .. .. .. 59.9 4.0 67.2 43.5
172 Djibouti 11.3 2.3 14 30 100 .. .. .. .. 39.1 2.0 o 76.9 51.4
173 Ethiopia 12.2 0.2 63 .. 85 2 .. .. .. 88.2 26.5 39.1 7.1
174 Gambia 12.1 1.1 11 39 88 .. .. .. .. 71.2 15.5 80.1 41.7
175 Guinea 12.8 0.8 3 46 75 .. .. .. .. 90.1 6.9 67.4 22.0
176 Congo (Democratic Republic of the) 13.2 0.9 8 33 95 .. .. .. .. 53.5 0.4 m 41.8 19.7
177 Guinea-Bissau 13.5 0.5 10 .. 39 .. .. .. .. 65.3 4.0 m 69.2 21.5
178 Yemen 15.7 3.1 7 27 .. .. .. .. .. 43.6 57.7 70.4 59.7
179 Eritrea 11.6 .. 7 43 61 .. .. .. .. 46.3 39.3 19.3 11.3
180 Mozambique 13.2 0.6 7 55 93 .. .. .. .. 84.6 5.0 47.3 23.6
181 Liberia 13.3 0.2 8 30 47 .. .. .. .. 77.7 1.3 69.9 16.9
182 Mali 12.6 0.9 1 39 52 .. .. .. .. 87.9 1.8 74.3 31.3
183 Burkina Faso 12.2 0.5 4 42 73 .. .. .. .. 87.2 0.8 53.9 22.5
184 Sierra Leone 10.3 0.2 4 37 54 .. .. .. .. 87.7 2.5 58.1 14.5
185 Burundi 12.5 .. 19 50 100 .. .. .. .. 92.4 1.7 55.9 50.5
186 Chad 13.0 0.4 4 57 65 .. .. .. .. 91.5 2.2 42.5 9.5
187 South Sudan 13.6 .. .. 47 44 .. .. .. .. 49.7 5.9 50.4 10.4
188 Central African Republic 15.3 0.5 10 83 58 .. .. .. .. 67.5 0.4 54.1 25.1
189 Niger 12.1 0.2 3 36 56 .. .. .. .. 88.5 4.7 45.8 12.9
OTHER COUNTRIES OR TERRITORIES
.. Korea (Democratic People's Rep. of) 10.2 35.1 132 21 .. .. .. .. .. 66.0 39.2 99.6 77.1
.. Monaco .. 66.5 138 14 .. .. .. .. .. .. .. 100.0 100.0
.. Nauru .. 13.9 50 40 100 .. .. .. .. .. .. 100.0 65.6
.. San Marino .. 63.6 38 6 .. .. .. .. .. .. 100.0 100.0 100.0
.. Somalia 9.7 0.3 .. .. .. .. .. .. .. 72.3 11.6 40.0 16.2
.. Tuvalu .. 10.9 .. 13 .. .. .. .. .. .. 98.5 99.3 91.4
Human development groups
Very high human development 11.8 30.8 58 14 .. 10.4 100.0 99.0 97.9
High human development 10.9 29.2 32 18 .. 33.1 99.4 96.0 81.0
Medium human development 13.0 6.7 9 29 75 63.2 78.9 86.9 54.1
Low human development 12.5 3.2 13 41 80 75.1 24.4 56.6 27.6
Developing countries 12.0 15.6 20 25 .. 50.0 74.4 86.1 61.7
Regions
Arab States 13.6 13.5 12 20 89 26.3 78.9 87.1 81.2
East Asia and the Pacific 10.5 27.5 31 17 .. 37.9 94.0 93.5 74.6
Europe and Central Asia 12.0 24.7 51 18 .. 26.8 100.0 95.0 95.8
Latin America and the Caribbean 11.6 20.4 20 22 .. 32.3 90.5 96.2 85.6
South Asia 13.7 7.8 8 35 71 72.1 79.8 88.4 48.3
Sub-Saharan Africa 12.0 1.9 15 39 79 72.2 23.2 57.7 28.1
Least developed countries 12.7 3.2 14 37 76 70.5 31.2 61.5 32.0
Small island developing states 12.0 25.7 27 19 92 46.9 47.9 78.6 61.6
Organisation for Economic
Co-operation and Development
12.0 28.5 50 16 .. 12.7 100.0 99.3 98.2
World 12.0 18.3 27 23 .. 42.6 76.3 88.3 67.7



Notes

Three-colour coding is used to visualize partial grouping of countries and aggregates by indicator.For each indicator countries
are divided into three groups of approximately equal size (terciles): the top third, the middle third and the bottom third. Aggregates are colour coded using the same tercile cutoffs. See Technical note 6 at http://hdr.undp.org/sites/default/files/hdr2018_technical_notes.pdf for details about partial grouping in this table.

a. Estimates modelled by the International Labour Organization.

b. Average score for Organisation for Economic Co-operation and Development (OECD) countries is 490.

c. Average score for OECD countries is 493.

d. Data refer to the most recent year available during the period specified.

e. Public institutions only.

f. Refers to the adjudicated region of Ciudad Autónoma de Buenos Aires.

g. Refers only to International Standard Classification of Education (ISCED) level 2.

h. Refers to the provinces of Beijing, Guangdong, Jiangsu and Shanghai.

i. Refers only to ISCED level 3.

j. There are no private institutions at ISCED level 3.

k. Refers only to ISCED levels 1 and 2.

l. Refers to West Bank schools only.

m. Refers to 2014.

n. Refers to 2013.

o. Refers to 2015.


Definitions

Lost health expectancy: Relative difference between life expectancy and healthy life expectancy, expressed as the percentage of life expectancy at birth.

Physicians: Number of medical doctors (physicians), both generalists and specialists, expressed per 10,000 people.

Hospital beds: Number of hospital beds available, expressed per 10,000 people.

Pupil-teacher ratio, primary school:Average number of pupils per teacher in primary education.

Primary school teachers trained to teach: Percentage of primary school teachers who have received the minimum organized teacher training (preservice or in-service) required for teaching at the primary level.

Proportion of schools with access to the Internet: Proportion of primary and secondary schools with access to the Internet for educational purposes.

Programme for International Student Assessment (PISA) score: Score obtained in testing of skills and knowledge of 15-year-old students in mathematics, reading and science.

Vulnerable employment: Percentage of employed people engaged as unpaid family workers and own-account workers.

Rural population with access to electricity: People living in rural areas with access to electricity, expressed as a percentage of the total rural population. It includes electricity sold commercially (both on grid and off grid) and self-generated electricity but excludes unauthorized connections.

Population using improved drinking-water sources: Percentage of the population using improved drinking-water sources,
which by nature of their construction and design are likely to protect the source from outside contamination, in particular from faecal matter. Improved drinking water sources
include piped water into a dwelling, plot or yard; a public tap or standpipe, a tube well or borehole, a protected dug well, a protected spring and rainwater collection.

Population using improved sanitation facilities: Percentage of the population using improved sanitation facilities,
which hygienically separate human excreta from human contact. Improved sanitation facilities include flush or pour-flush toilets to a piped sewer system, a septic tank or pit
latrine, a ventilated improved pit latrine, a pit latrine with slab and a composting toilet. Sanitation facilities that are shared with other households or open to public use are
not considered improved.


Main data sources

Column 1: HDRO calculations based on data on healthy life expectancy at birth and life expectancy at birth from WHO (2018).

Columns 2, 3, 12 and 13: WHO (2018).

Columns 4 and 5: UNESCO Institute for Statistics (2018).

Column 6: WSIS (2014)

Columns 7-9: OECD (2017b).

Column 10: ILO (2018a).

Column 11: World Bank (2018a).