GLOBAL RANKINGS
GLOBAL RANKINGS

World Hope Index 2015

# Country Score
1 Norway 0.9438
2 New Zealand 0.9375
3 Iceland 0.9366
4 Finland 0.933
5 Sweden 0.932
6 Switzerland 0.9296
7 Canada 0.9175
8 Australia 0.9048
9 Netherlands 0.9041
10 Austria 0.9005
11 Denmark 0.896
12 Ireland 0.8899
13 Germany 0.8781
14 United Kingdom 0.8738
15 United States 0.8688
16 Japan 0.8677
17 Belgium 0.8589
18 France 0.848
19 Estonia 0.8429
20 Slovenia 0.8331
21 Portugal 0.8294
22 Singapore 0.8282
23 Chile 0.8166
24 Hungary 0.8121
25 Czech Republic 0.8118
26 Spain 0.8056
27 Slovak Republic 0.805
28 Korea, Rep. 0.8044
29 Poland 0.8001
30 Uruguay 0.7947
31 Latvia 0.7939
32 Italy 0.7844
33 Mauritius 0.7827
34 Croatia 0.7694
35 Costa Rica 0.7621
36 Greece 0.7422
37 Malaysia 0.7292
38 Romania 0.7283
39 Bulgaria 0.7186
40 Israel 0.716
41 Qatar 0.7092
42 Botswana 0.6899
43 Georgia 0.6895
44 Macedonia, FYR 0.6797
45 Brazil 0.678
46 Mongolia 0.6763
47 Trinidad and Tobago 0.6749
48 Argentina 0.6687
49 Bosnia and Herzegovina 0.6655
50 Albania 0.6603
51 Oman 0.6592
52 United Arab Emirates 0.658
53 Namibia 0.6555
54 Armenia 0.6474
55 Dominican Republic 0.6434
56 South Africa 0.643
57 Peru 0.6375
58 Turkey 0.6363
59 Mexico 0.6322
60 Indonesia 0.6185
61 Suriname 0.6169
62 Ghana 0.6148
63 Tunisia 0.6135
64 Thailand 0.6101
65 Jordan 0.6075
66 Ecuador 0.5993
67 Sri Lanka 0.5988
68 El Salvador 0.5948
69 Morocco 0.5944
70 Vietnam 0.5904
71 Guyana 0.5884
72 Ukraine 0.5852
73 Paraguay 0.5825
74 Kazakhstan 0.5807
75 Russian Federation 0.5782
76 Philippines 0.5779
77 Senegal 0.5722
78 India 0.571
79 Colombia 0.5662
80 Nicaragua 0.5651
81 Gabon 0.563
82 Bolivia 0.5579
83 Bahrain 0.5579
84 Azerbaijan 0.5573
85 China 0.5567
86 Belarus 0.5555
87 Saudi Arabia 0.5545
88 Kuwait 0.5489
89 Lebanon 0.5392
90 Zambia 0.5283
91 Guatemala 0.5163
92 Benin 0.5162
93 Algeria 0.5144
94 Kyrgyz Republic 0.5113
95 Lesotho 0.5061
96 Egypt, Arab Rep. 0.5055
97 Nepal 0.4966
98 Swaziland 0.4954
99 Tanzania 0.4939
100 Cambodia 0.4854
101 Rwanda 0.4753
102 Cameroon 0.468
103 Bangladesh 0.4637
104 Mozambique 0.456
105 Iran, Islamic Rep. 0.4533
106 Uganda 0.4526
107 Malawi 0.4518
108 Kenya 0.4515
109 Cote d'Ivoire 0.4486
110 Lao PDR 0.4429
111 Burkina Faso 0.4349
112 Tajikistan 0.4304
113 Togo 0.4288
114 Uzbekistan 0.4222
115 Madagascar 0.4162
116 Mali 0.4162
117 Venezuela, RB 0.4056
118 Ethiopia 0.4011
119 Pakistan 0.3987
120 Liberia 0.3933
121 Nigeria 0.3909
122 Sierra Leone 0.3892
123 Mauritania 0.3884
124 Niger 0.3785
125 Libya 0.3703
126 Iraq 0.3529
127 Zimbabwe 0.3492
128 Haiti 0.3409
129 Guinea 0.339
130 Yemen, Rep. 0.3379
131 Burundi 0.3313
132 Guinea-Bissau 0.306
133 Sudan 0.2952
134 Chad 0.2834
135 Afghanistan 0.2454
136 Central African Republic 0.1721

WHY HOPE?

WHY HOPE?

If we read our daily newspapers, watch television channels, surf ­­­the Internet and connect with the social media, we mostly get the pessimistic news. Terrorism, refugees, atrocities and natural disasters seem to dominate the news. We seem to live in a world of fear and despair and our media portrays this reality.

However, if we take a longer term view, we find that countries can change their destiny and create a better future for their population. It is very much within the realm of possibility for a country to bring about change if there is hope. At the same time, a country needs to create hope for its citizens. Thus, a country needs hope to create positive change but it also needs to create hope in the first place. Can hope be a cause or effect of positive change?

 

World Hope Index treats hope as a social product and explains why we need to discuss and in doing so improve our prospects of being hopeful.

Methodology

Methodology

For the methodology, I have divided the World Hope Index into four parameters that contain 15 indicators in total. The four parameters are: Standard of living, governance, innovation and Absence of fear.

After collecting all the raw data, in order to keep the index standardized for all indicators I have normalized all the data from a range of 0 –1.  This  allows  me  to calculate all  the  different  indices  together  from  varieties  of  data using a standardised approach.  A significant aspect about the World Hope Index is that it also the very first index that measures the average income of bottom 40% of population, as an alternative to the average GDP per capita. I have done this with the help of the Palma ratio, conceptualised by Prof. Gabriel Palma.

 

The full methodology is explained with all the formulae in the research paper, which is available for free download.

ABOUT ME

Hi there!

My name is Rahul Waslekar from Mumbai, India. I completed the International Baccalaureate from Indus International School, Pune. I first thought about the idea of a World Hope Index in 2014 during my summer internship project, where I first made a model of this index. After making the model and sharing it with eminent scholars, intellects and leaders around the worldI have refined my approach, thoughts and even methodology while writing the present paper.

Apart from the index, my hobbies include, learning French, playing the keyboard, surfing the internet, watching cookery shows and also have a varied taste of music ranging from alternative rock to electronic. I enjoy comedy movies and also have a taste for suspense movies. I also participate regularly in model UN conferences. Please write to me and tell me what you feel about Hope in your country and also your thoughts and comments on the World Hope Index.

Rahul Waslekar

rahul.waslekar@gmail.com

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COMMENTS

World Hope Index 2015

# Country Score
1 Norway 0.9438
2 New Zealand 0.9375
3 Iceland 0.9366
4 Finland 0.933
5 Sweden 0.932
6 Switzerland 0.9296
7 Canada 0.9175
8 Australia 0.9048
9 Netherlands 0.9041
10 Austria 0.9005
11 Denmark 0.896
12 Ireland 0.8899
13 Germany 0.8781
14 United Kingdom 0.8738
15 United States 0.8688
16 Japan 0.8677
17 Belgium 0.8589
18 France 0.848
19 Estonia 0.8429
20 Slovenia 0.8331
21 Portugal 0.8294
22 Singapore 0.8282
23 Chile 0.8166
24 Hungary 0.8121
25 Czech Republic 0.8118
26 Spain 0.8056
27 Slovak Republic 0.805
28 Korea, Rep. 0.8044
29 Poland 0.8001
30 Uruguay 0.7947
31 Latvia 0.7939
32 Italy 0.7844
33 Mauritius 0.7827
34 Croatia 0.7694
35 Costa Rica 0.7621
36 Greece 0.7422
37 Malaysia 0.7292
38 Romania 0.7283
39 Bulgaria 0.7186
40 Israel 0.716
41 Qatar 0.7092
42 Botswana 0.6899
43 Georgia 0.6895
44 Macedonia, FYR 0.6797
45 Brazil 0.678
46 Mongolia 0.6763
47 Trinidad and Tobago 0.6749
48 Argentina 0.6687
49 Bosnia and Herzegovina 0.6655
50 Albania 0.6603
51 Oman 0.6592
52 United Arab Emirates 0.658
53 Namibia 0.6555
54 Armenia 0.6474
55 Dominican Republic 0.6434
56 South Africa 0.643
57 Peru 0.6375
58 Turkey 0.6363
59 Mexico 0.6322
60 Indonesia 0.6185
61 Suriname 0.6169
62 Ghana 0.6148
63 Tunisia 0.6135
64 Thailand 0.6101
65 Jordan 0.6075
66 Ecuador 0.5993
67 Sri Lanka 0.5988
68 El Salvador 0.5948
69 Morocco 0.5944
70 Vietnam 0.5904
71 Guyana 0.5884
72 Ukraine 0.5852
73 Paraguay 0.5825
74 Kazakhstan 0.5807
75 Russian Federation 0.5782
76 Philippines 0.5779
77 Senegal 0.5722
78 India 0.571
79 Colombia 0.5662
80 Nicaragua 0.5651
81 Gabon 0.563
82 Bolivia 0.5579
83 Bahrain 0.5579
84 Azerbaijan 0.5573
85 China 0.5567
86 Belarus 0.5555
87 Saudi Arabia 0.5545
88 Kuwait 0.5489
89 Lebanon 0.5392
90 Zambia 0.5283
91 Guatemala 0.5163
92 Benin 0.5162
93 Algeria 0.5144
94 Kyrgyz Republic 0.5113
95 Lesotho 0.5061
96 Egypt, Arab Rep. 0.5055
97 Nepal 0.4966
98 Swaziland 0.4954
99 Tanzania 0.4939
100 Cambodia 0.4854
101 Rwanda 0.4753
102 Cameroon 0.468
103 Bangladesh 0.4637
104 Mozambique 0.456
105 Iran, Islamic Rep. 0.4533
106 Uganda 0.4526
107 Malawi 0.4518
108 Kenya 0.4515
109 Cote d'Ivoire 0.4486
110 Lao PDR 0.4429
111 Burkina Faso 0.4349
112 Tajikistan 0.4304
113 Togo 0.4288
114 Uzbekistan 0.4222
115 Madagascar 0.4162
116 Mali 0.4162
117 Venezuela, RB 0.4056
118 Ethiopia 0.4011
119 Pakistan 0.3987
120 Liberia 0.3933
121 Nigeria 0.3909
122 Sierra Leone 0.3892
123 Mauritania 0.3884
124 Niger 0.3785
125 Libya 0.3703
126 Iraq 0.3529
127 Zimbabwe 0.3492
128 Haiti 0.3409
129 Guinea 0.339
130 Yemen, Rep. 0.3379
131 Burundi 0.3313
132 Guinea-Bissau 0.306
133 Sudan 0.2952
134 Chad 0.2834
135 Afghanistan 0.2454
136 Central African Republic 0.1721