The practice of neglecting the neglected men is present in most of the statistics presented by the governmental bodies. Otherwise how does lack of particular facility to men & boys of country doesn’t have any impact on rating of the country while lack of same facility to women attracts negative points in rating of the country.

Eg. In UN Gender development Index the ratio used for calculating Gender development index (GDI = HDIf/HDIm) is geared to show even decrease in the development of males as positive indication towards gender development.

Another example is for health measurement, they have added maternal mortality ratio factor but ignored any male related factor, secondly they measure empowerment by parliamentary representation that totally depends on the effectiveness of the political candidate not the gender. How can you expect people to vote for candidate just by their gender even if the candidate has no leadership qualities or is not able to connect with the people.

Even in slavery index prepared by ILO the girls who get married early are considered as part of population suffering from slavery but the boys who are forced to marry early or are forced to pay marital penalty (maintenance, alimony) like slaves paid their masters are not at all considered suffering from slavery.

So I decided to rank countries using a measure that is independent of such flaws. I will call this measure as measure of “Life Gap” in a country.

The reasons for using life length for such ranking are as follows.

1) Length of life is the result of large number of factors that really mattered in life of a person. It includes but is not limited to the general well-being of individuals, societies development, access to quality healthcare, employment, quality of life, standard of living, level of wealth, comfort, material goods, necessities, available income, poverty rate, quality and affordability of housing, hours of work required to purchase necessities, gross domestic product, inflation rate, number of holiday days per year, affordable (or free), quality and availability of education, incidence of disease, cost of goods and services, infrastructure, national economic growth, economic and political stability, political and religious freedom, environmental quality, climate and safety, happiness and misery, infant mortality, differences in public health, diet, crime and accidents too.

2) This cannot be twisted like the example of skewed statistics given at start of this blog.

3) Suicide as a factor of emotional well being is neglected for gender development but it also affects the life span of people.

4) Though maternal death are considered in Human development index, Death of men due to men specific issues are neglected. Also men are more likely to die from injuries such as occupational, war or accidents as men are forced to work in hazardous situation but this disparity is not counted anywhere and ultimately results affecting their life span by shortening it.

3) Before 1880 death rates of men and women were the same. But starting around 1880, death rates decreased faster among women, leading to differences in mortality rates between males and females. In people born after 1900, the death rate of 50- to 70-year-old men was double that of women of the same age. So something must have definitely gone wrong with the men that years from their life are snuffed off early. http://www.livescience.com/51455-women-outlive-men.html Though cardiovascular disease and other ailments are blamed as cause of the higher death rates among men, It is silly to accept it as Factors like maternal death etc that are only related to women are considered in life expectancy but factors related to men are ignored. Also men would be more vulnerable to cardiovascular disease or any other diseases only if they did not get adequate support from society in terms of medical care, emotional support, legal protection or other forms of benefits that women are enjoying.

The basis I will use for this ranking is length of life of country’s men & women coupled with the difference in length of life of male & female as a measure of a country’s equality in treatment towards both genders of its population. The longer is life of men and lesser is the difference in life expectancy between men and women the better is the rank of the country.

I have used the data of length of life for the years 1990, 2000, 2012 and 2013 my findings are-

For the year 2013, out of 194 countries analyzed, men are neglected in 198 countries and die before women.

Only in four countries Niger, Mali, Swaziland and Sierra Leone the men were able to live as long as women

Only in one country Tonga did the men outlive women.

When the countries are ranked with respect to life span of men and further in order of decreased difference in life expectancy of men and women. USA stands at 43, India at 134 and Russia at 150.

Life gap Rank Country Male Female 6 Canada 80 84 12 Italy 80 85 15 Japan 80 87 18 Germany 79 83 21 United Kingdom of Great Britain and Northern Ireland 79 83 24 France 79 85 43 United States of America 76 81 51 China 74 77 83 Brazil 72 79 134 India 65 68 150 Russian Federation 63 75

If the countries are rated purely on the ratio of life expectancy of man/ life expectancy of woman the disparity against men in top economies get exposed of grossly neglecting their male population compared to the females. USA ranks at 108, India is at 45 and Russia at 194 right at the bottom. Russian man’s life is staggering 12 years short compared to Russian woman. Isn’t this disparity outrageous? The contribution of the men in GDP of these top economies have totally gone unnoticed, and their early death is accepted by both men and women. These findings also expose the negative publicity and rumor mongering by feminist for countries like Russia & China blaming them for neglecting women, the fact is they are neglecting men.

Life gap Rating Country Male Female Ratio of M/F 40 China 74 77 0.961039 45 India 65 68 0.955882 57 Canada 80 84 0.952381 67 Germany 79 83 0.951807 70 United Kingdom of Great Britain and Northern Ireland 79 83 0.951807 100 Italy 80 85 0.941176 108 United States of America 76 81 0.938272 126 France 79 85 0.929412 148 Japan 80 87 0.91954 156 Brazil 72 79 0.911392 194 Russian Federation 63 75 0.84

These disparities in life expectancy “Life Gap” between in men and women are demonstrating the need for the men who actually need better medical care, increased social support and legal protection across the globe.

The Life Gap has to be addressed before wage gap, pay gap, health or any other gap. As Life Gap is real unlike many other imaginary gaps that are crafted for siphoning money and fulfill oblique motives

For the reference of my readers I have tabulated the life expectancy of men and women of various countries for the year 2013 and the difference in life expectancy ( male – female ) for the years 2013, 2012, 2000 and 1990 in the following table.

Life Gap Rank Country

Male Female M-F M-F M-F M-F 2013 2013 2013 2012 2000 1990 1 San Marino 83 84 -1 -2 -7 -7 2 Iceland 81 84 -3 -3 -4 -6 3 Israel 81 84 -3 -4 -4 -4 4 Switzerland 81 85 -4 -4 -6 -7 5 Singapore 81 85 -4 -5 -5 -5 6 Canada 80 84 -4 -4 -5 -7 7 Cyprus 80 84 -4 -4 -4 -5 8 Luxembourg 80 84 -4 -4 -6 -7 9 Norway 80 84 -4 -4 -6 -6 10 Sweden 80 84 -4 -4 -4 -6 11 New Zealand 80 84 -4 -4 -5 -5 12 Italy 80 85 -5 -5 -6 -6 13 Australia 80 85 -5 -4 -6 -6 14 Spain 80 86 -6 -6 -7 -8 15 Japan 80 87 -7 -7 -7 -6 16 Qatar 79 80 -1 -1 1 -2 17 Malta 79 82 -3 -4 -4 -4 18 Germany 79 83 -4 -5 -6 -7 19 Ireland 79 83 -4 -4 -5 -6 20 Netherlands 79 83 -4 -4 -5 -6 21 United Kingdom of Great Britain and Northern Ireland 79 83 -4 -4 -4 -6 22 Austria 79 84 -5 -5 -6 -7 23 Greece 79 84 -5 -5 -5 -5 24 France 79 85 -6 -6 -8 -9 25 Monaco 79 85 -6 -7 -8 -7 26 Andorra 79 86 -7 -7 -7 -7 27 Kuwait 78 79 -1 -1 -2 -1 28 Denmark 78 82 -4 -4 -4 -6 29 Lebanon 78 82 -4 -4 -3 -7 30 Belgium 78 83 -5 -5 -6 -6 31 Finland 78 84 -6 -6 -7 -8 32 Portugal 78 84 -6 -7 -7 -7 33 Republic of Korea 78 85 -7 -7 -7 -8 34 Maldives 77 79 -2 -2 -1 3 35 Cuba 77 80 -3 -5 -4 -3 36 Costa Rica 77 81 -4 -4 -3 -3 37 Chile 77 83 -6 -6 -6 -7 38 Slovenia 77 84 -7 -6 -8 -8 39 Bahrain 76 78 -2 -2 -3 -2 40 United Arab Emirates 76 78 -2 -2 -2 -2 41 Peru 76 79 -3 -4 -4 -4 42 Brunei Darussalam 76 79 -3 -2 -5 -4 43 United States of America 76 81 -5 -5 -6 -7 44 Bosnia and Herzegovina 75 80 -5 -5 -6 -5 45 Barbados 75 81 -6 -6 -6 -6 46 Colombia 75 81 -6 -7 -9 -8 47 Croatia 75 81 -6 -7 -7 -7 48 Czech Republic 75 81 -6 -6 -6 -7 49 Nauru 75 83 -8 -8 -8 -8 50 Tonga 74 70 4 5 -3 -10 51 China 74 77 -3 -3 -3 -4 52 The former Yugoslav republic of Macedonia 74 78 -4 -5 -5 -5 53 Montenegro 74 78 -4 -5 -5 -6 54 Saudi Arabia 74 78 -4 -4 -4 -4 55 Tunisia 74 78 -4 -4 -4 -3 56 Cook Islands 74 78 -4 -5 -6 -5 57 Oman 74 79 -5 -4 -4 -4 58 Panama 74 80 -6 -6 -5 -4 59 Suriname 74 80 -6 -5 -6 -5 60 Uruguay 74 81 -7 -8 -8 -7 61 Dominican Republic 73 74 -1 -2 -2 -2 62 Albania 73 76 -3 -2 -5 -4 63 Antigua and Barbuda 73 77 -4 -4 -2 -2 64 Libya 73 77 -4 -4 -4 -3 65 Bahamas 73 78 -5 -6 -7 -5 66 Mexico 73 78 -5 -6 -5 -7 67 Syrian Arab Republic 73 78 -5 -14 -3 -2 68 Ecuador 73 79 -6 -5 -6 -5 69 Argentina 73 80 -7 -6 -7 -7 70 Poland 73 81 -8 -8 -8 -9 71 Saint Vincent and the Grenadines 72 76 -4 -4 -6 -6 72 Iran (Islamic Republic of) 72 76 -4 -4 -2 -1 73 Jordan 72 76 -4 -3 -3 -3 74 Malaysia 72 76 -4 -4 -5 -5 75 Dominica 72 77 -5 -5 -3 -4 76 Honduras 72 77 -5 -5 -4 -4 77 Jamaica 72 77 -5 -5 -7 -5 78 Serbia 72 77 -5 -5 -6 -6 79 Belize 72 78 -6 -6 -7 -5 80 Paraguay 72 78 -6 -6 -6 -5 81 Sri Lanka 72 78 -6 -7 -10 -10 82 Niue 72 78 -6 -6 -6 -6 83 Brazil 72 79 -7 -7 -7 -7 84 Saint Lucia 72 79 -7 -8 -6 -4 85 Turkey 72 79 -7 -6 -7 -6 86 Venezuela (Bolivarian Republic of) 72 80 -8 -8 -6 -4 87 Slovakia 72 80 -8 -8 -8 -9 88 Estonia 72 82 -10 -10 -11 -11 89 Vanuatu 71 74 -3 -4 -4 -3 90 Palau 71 75 -4 -4 -3 -3 91 Nicaragua 71 77 -6 -6 -6 -6 92 Cabo Verde 71 78 -7 -7 -7 -5 93 Saint Kitts and Nevis 71 78 -7 -7 -6 -6 94 Bulgaria 71 78 -7 -7 -7 -7 95 Georgia 71 78 -7 -8 -8 -8 96 Romania 71 78 -7 -7 -7 -7 97 Thailand 71 79 -8 -8 -9 -6 98 Hungary 71 79 -8 -8 -8 -9 99 Viet Nam 71 80 -9 -9 -9 -9 100 Bangladesh 70 72 -2 -2 0 1 101 Algeria 70 74 -4 -3 -3 -3 102 Azerbaijan 70 75 -5 -6 -5 -6 103 Cambodia 70 75 -5 -5 -5 -6 104 Grenada 70 77 -7 -8 -6 -7 105 Samoa 70 77 -7 -7 -7 -6 106 Mauritius 70 78 -8 -8 -7 -8 107 Seychelles 70 78 -8 -9 -10 -11 108 Indonesia 69 73 -4 -4 -4 -4 109 Morocco 69 73 -4 -4 -4 -3 110 Egypt 69 74 -5 -5 -5 -4 111 Latvia 69 79 -10 -10 -11 -10 112 Lithuania 69 79 -10 -12 -11 -10 113 Bhutan 68 69 -1 -1 0 0 114 Tajikistan 68 70 -2 -2 -2 -3 115 Micronesia (Federated States of) 68 70 -2 -2 -2 -2 116 Marshall Islands 68 73 -5 -4 -4 -4 117 Guatemala 68 75 -7 -7 -7 -5 118 El Salvador 68 77 -9 -9 -8 -9 119 Nepal 67 70 -3 -2 -2 -1 120 Solomon Islands 67 70 -3 -3 -3 -2 121 Uzbekistan 67 72 -5 -5 -6 -7 122 Fiji 67 73 -6 -6 -5 -4 123 Trinidad and Tobago 67 74 -7 -7 -7 -6 124 Iraq 67 74 -7 -8 -5 -4 125 Armenia 67 75 -8 -8 -6 -8 126 Namibia 66 70 -4 -5 0 -2 127 Tuvalu 66 70 -4 -4 -4 -5 128 Democratic People’s Republic of Korea 66 73 -7 -7 -9 -7 129 Kyrgyzstan 66 73 -7 -7 -7 -7 130 Republic of Moldova 66 75 -9 -9 -7 -7 131 Ukraine 66 76 -10 -10 -11 -10 132 Belarus 66 78 -12 -11 -12 -10 133 Pakistan 65 67 -2 -2 -2 -2 134 India 65 68 -3 -4 -2 -1 135 Lao People’s Democratic Republic 65 68 -3 -3 -3 -3 136 Sao Tome and Principe 65 69 -4 -4 -4 -4 137 Timor-Leste 65 69 -4 -3 -2 -3 138 Bolivia (Plurinational State of) 65 70 -5 -5 -4 -4 139 Philippines 65 72 -7 -7 -7 -7 140 Rwanda 64 67 -3 -3 -1 -4 141 Myanmar 64 68 -4 -4 -4 -4 142 Kiribati 64 69 -5 -5 -5 -5 143 Mongolia 64 72 -8 -8 -6 -6 144 Botswana 63 65 -2 -2 1 -1 145 Ethiopia 63 66 -3 -3 -3 -6 146 Madagascar 63 66 -3 -3 -2 -3 147 Senegal 63 66 -3 -3 -3 -3 148 Yemen 63 66 -3 -3 -3 -3 149 Kazakhstan 63 73 -10 -9 -10 -9 150 Russian Federation 63 75 -12 -12 -13 -11 151 Ghana 62 64 -2 -3 -2 -3 152 Gabon 62 65 -3 -2 -1 -3 153 Mauritania 62 65 -3 -4 -3 -3 154 Afghanistan 61 62 -1 -3 -2 -1 155 Liberia 61 63 -2 -3 -2 -7 156 Haiti 61 64 -3 -3 -2 -4 157 United Republic of Tanzania 61 65 -4 -4 -1 -3 158 Sudan 61 65 -4 -4 -3 -3 159 Eritrea 61 66 -5 -5 -15 -4 160 Comoros 60 63 -3 -3 -3 -4 161 Gambia 60 63 -3 -4 -3 -3 162 Kenya 60 63 -3 -3 -2 -4 163 Djibouti 60 63 -3 -3 -4 -4 164 Papua New Guinea 60 65 -5 -5 -5 -6 165 Guyana 60 67 -7 -7 -5 -8 166 Turkmenistan 60 68 -8 -7 -7 -6 167 Niger 59 59 0 0 0 0 168 Burkina Faso 58 59 -1 -2 -1 -3 169 Congo 58 60 -2 -3 -1 -3 170 Malawi 58 61 -3 -2 1 -3 171 Mali 57 57 0 0 0 0 172 Guinea 57 59 -2 -2 -2 -2 173 Benin 57 60 -3 -3 -3 -5 174 Togo 57 60 -3 -2 -2 -3 175 Zambia 57 60 -3 -3 -3 -7 176 Uganda 57 61 -4 -2 -2 -5 177 South Africa 57 64 -7 -6 -7 -7 178 Cameroon 56 58 -2 -2 -2 -3 179 Zimbabwe 56 61 -5 -4 0 -4 180 Equatorial Guinea 55 57 -2 -3 -3 -3 181 South Sudan 55 57 -2 -2 -3 -3 182 Nigeria 54 55 -1 -2 -1 -2 183 Burundi 54 58 -4 -3 -4 -3 184 Swaziland 53 53 0 -3 -1 1 185 Guinea-Bissau 53 55 -2 -3 -2 -5 186 Mozambique 53 55 -2 -2 -3 -4 187 Somalia 53 56 -3 -4 -3 -5 188 Cote d’Ivoire 52 54 -2 -2 -2 -4 189 Chad 51 53 -2 -2 -2 -4 190 Democratic Republic of the Congo 51 54 -3 -3 -3 -3 191 Central African Republic 50 52 -2 -2 -2 -4 192 Angola 50 53 -3 -2 -3 -4 193 Lesotho 48 52 -4 -3 -2 -3 194 Sierra Leone 46 46 0 -1 -1 0

Ref – http://apps.who.int/gho/athena/data/GHO/WHOSIS_000002,WHOSIS_000001,WHOSIS_000015?filter=COUNTRY:*;REGION:AFR;REGION:AMR;REGION:SEAR;REGION:EUR;REGION:EMR;REGION:WPR;SEX:*&format=xml&profile=excel