One thing a man might be interested to know
about various countries in the world is: how easy would it be to find a
girlfriend? Obviously, there are many factors influencing that, but one of them
is the gender ratio: the higher the percentage of women in the population, the
less competition there is among the men.
Now, the official gender ratios are readily
available, but they aren't very useful. That is because they take into account
all males and all females, including the children and the elderly.
I began to think: without making things too
complicated, how could one compute a gender ratio that would be more useful for
men looking to find a sex partner? [By the way, you can just scroll down if you
only want to see the results and are not interested in the theoretical
background.]
I quickly found somewhat better gender
statistics: numbers of males and females for pretty much every country in the
world by 5-year age groups (0–4, 5–9, 10–14 and so on). That's good enough.
Regardless of the age of consent in my
location, I decided to play it safe and draw the line at 18 years. But where
would the upper limit be? Well, being very generous, I could say that I've met
some women above 44 who could still be considered attractive, at least with
their clothes on, but really very few. So let's say that women aged 45 and
above are out. (I'll talk about the men in a moment.)
But we can do better than just disregard
the too old and the too young. For example, suppose that country A has 2
million women aged 20–30 and 1 million women aged 30–40, whereas country B has
1 million women aged 20–30 and 2 million women aged 30–40. If all other things
are equal, it is clear that country A is to be preferred – even though the
overall number of women is the same, country A has a higher percentage of
younger (that is, more attractive) women.
So we ought to give weights to age groups.
How to calculate those?
We should consider the following facts:
1) younger women are more attractive than
older women;
2) older persons are more likely to be
hooked up with a spouse and children, and thus less likely to be in the
competition for sex partners;
3) younger men's sex drive is stronger than
elder men's.
Those facts suggest that younger age groups
ought to be given larger weights.
Of course, there are some other factors,
like:
1) women's sex drive increases with age
(although they may be just compensating for decreasing attractiveness);
2) older men tend to be richer and thus
more attractive to women;
3) reaching a certain age, married men tend
to start looking for new, younger partners.
But I think the second group of factors is
significantly less important than the first group, and I was only trying to
calculate a somewhat more informative gender ratio, not to write a scientific
paper on getting laid. So I disregarded the second group of factors and decided
to just give preference to younger age groups.
In order to determine the most reasonable
weights, I considered that nearly all women I've seen begin to lose their
youthful look somewhere between 25 and 30. I further figured, after some
reflection, that I would consider a 20–25-year-old woman 5/3 = 1.667 times as
attractive as a 25–30-year-old one. (Meaning, I would just as well have 3 women
between 20 and 24, as 5 women between 25 and 29.) Extrapolating that, I decided
to give each female age group above 20 a weight 1.667 times larger than the
next age group.
There was no separate statistics for the
age group 18–19, but I figured they would make up 2/5 of the age group 15–19.
Since I consider women aged 18–19 as desirable as women aged 20–24, I set the
weight for the age group 15–19 equal to the weight of the age group 20–24 times
0.4.
Now, what to do with the men? Considering
the above theoretical considerations, we should weight younger male age groups
higher than the older ones. Also, considering that men are usually interested
in somewhat younger women and women are interested in somewhat older men, I
ended up giving male age groups weights that are symmetrical to those of female
ones. That is, the male age group 25–29 gets the same weight as the female age group
20–24; the male age group 30–34 gets the same weight as the female age group
25–29, and so on.
female male
–14
0.000 0.000
15–19
3.086 0.000
20–24
7.716 3.086
25–29
4.630 7.716
30–34
2.778 4.630
35–39
1.667 2.778
40–44
1.000 1.667
45–49
0.000 1.000
50–
0.000 0.000
One obvious flaw of this system is that is
disregards men in their late teens and early 20's, but that's difficult to
account for without making the system unreasonably complicated, so let's just
hope they are not competing for the same women we are. :-)
Anyway, I tried a few non-symmetrical
weight systems, but none was clearly more logical than this one, and this is by
far the simplest. So I ended up sticking to the system of symmetrical weights.
It's not perfect but I think it's good enough to give one an idea about the
competition for sex partners in one or another country. Should anybody have an
idea how to improve upon those weights, please let me know.
And here are the results: the number of
women in fuckable age for one man in fucking age
Please note that while the official
gender ratios indicate the number of men divided by the number of women (larger
numbers mean less women), this is the opposite: larger numbers mean more women
per man.
1) Northern Mariana Islands 1.62
2) Djibouti 1.51
3) Mayotte 1.49
4) Chad 1.45
5) Zimbabwe 1.45
6) Mozambique 1.43
7) Nepal 1.36
8) Senegal 1.33
9) Mauritania 1.31
10) Guatemala 1.30
11) Bangladesh 1.30
12) Macau 1.28
13) Mali 1.28
14) Comoros 1.26
15) Uganda 1.26
16) Sierra Leone 1.25
17) Ethiopia 1.25
18) El Salvador 1.25
19) Nicaragua 1.24
20) Lesotho 1.23
21) Congo (Kinshasa) 1.23
22) The Gambia 1.23
23) Virgin Islands, U.S. 1.23
24) Albania 1.22
25) Burundi 1.22
26) Gabon 1.22
27) Congo (Brazzaville) 1.21
28) Cape Verde 1.21
29) Tanzania 1.21
30) Afghanistan 1.20
31) Madagascar 1.20
32) Laos 1.20
33) Cook Islands 1.20
34) Malawi 1.20
35) Kiribati 1.20
36) Sudan (incl. South Sudan) 1.19
37) Cambodia 1.19
38) Gaza Strip 1.19
39) Sao Tome and Principe 1.19
40) Togo 1.19
41) Central African Republic 1.19
42) Guinea-Bissau 1.19
43) Haiti 1.18
44) Jamaica 1.18
45) Zambia 1.18
46) Eritrea 1.18
47) Burkina Faso 1.17
48) Niger 1.17
49) Western Sahara 1.17
50) Angola 1.17
51) Micronesia, Federated States of 1.16
52) Guinea 1.16
53) Somalia 1.16
54) Peru 1.16
55) Antigua and Barbuda 1.16
56) Sint Maarten 1.16
57) Benin 1.16
58) Paraguay 1.15
59) Cote d'Ivoire 1.15
60) Equatorial Guinea 1.15
61) Tonga 1.15
62) Cameroon 1.15
63) Bolivia 1.15
64) Nigeria 1.15
65) Ghana 1.15
66) Swaziland 1.14
67) Rwanda 1.14
68) Liberia 1.14
69) Honduras 1.13
70) Belize 1.13
71) Tajikistan 1.13
72) Timor-Leste 1.13
73) Turkmenistan 1.13
74) Botswana 1.13
75) Yemen 1.13
76) Ecuador 1.12
77) Mexico 1.12
78) Kyrgyzstan 1.12
79) Kenya 1.12
80) West Bank 1.12
81) Uzbekistan 1.12
82) Morocco 1.11
83) Namibia 1.11
84) Samoa 1.11
85) Venezuela 1.11
86) American Samoa 1.11
87) Syria 1.11
88) Tuvalu 1.10
89) Solomon Islands 1.10
90) Pakistan 1.10
91) Anguilla 1.10
92) Jordan 1.10
93) Saint Lucia 1.10
94) Grenada 1.09
95) Singapore 1.08
96) Iraq 1.08
97) Armenia 1.08
98) Papua New Guinea 1.08
99) Azerbaijan 1.08
100) Colombia 1.08
101) Philippines 1.08
102) Kazakhstan 1.07
103) Tunisia 1.07
104) Guyana 1.07
105) Mongolia 1.07
106) Lebanon 1.06
107) Vanuatu 1.06
108) Uruguay 1.06
109) Brunei 1.06
110) Virgin Islands, British 1.06
111) Burma 1.06
112) Guam 1.05
113) Georgia 1.05
114) Dominican Republic 1.05
115) Wallis and Futuna 1.05
116) Dominica 1.04
117) Puerto Rico 1.04
118) Algeria 1.04
119) Curacao 1.04
120) Iran 1.03
121) Marshall Islands 1.03
122) Malaysia 1.03
123) Argentina 1.03
124) South Africa 1.03
125) Chile 1.03
126) Panama 1.03
127) Costa Rica 1.02
128) Jersey 1.02
129) Aruba 1.02
130) Vietnam 1.02
131) French Polynesia 1.02
132) New Caledonia 1.02
133) Korea, North 1.02
134) Bahamas, The 1.02
135) Greenland 1.02
136) Nauru 1.01
137) Estonia 1.01
138) Bhutan 1.01
139) Libya 1.01
140) Egypt 1.01
141) Brazil 1.01
142) Gibraltar 1.01
143) Saint Vincent and the Grenadines 1.01
144) Sri Lanka 1.01
145) New Zealand 1.01
146) Turkey 1.00
147) Fiji 1.00
148) Cayman Islands 1.00
149) Iceland 1.00
150) Israel 1.00
151) Moldova 1.00
152) Denmark 1.00
153) Indonesia 0.99
154) Saint Kitts and Nevis 0.99
155) Sweden 0.99
156) Mauritius 0.99
157) Kosovo 0.99
158) India 0.99
159) Norway 0.99
160) Isle of Man 0.98
161) United States 0.98
162) Montserrat 0.98
163) Bermuda 0.97
164) San Marino 0.97
165) Suriname 0.97
166) Barbados 0.97
167) China 0.97
168) Russia 0.97
169) Lithuania 0.96
170) Netherlands 0.96
171) Latvia 0.96
172) Thailand 0.96
173) Luxembourg 0.96
174) Ukraine 0.96
175) Cuba 0.96
176) Monaco 0.95
177) Belarus 0.95
178) United Kingdom 0.95
179) Macedonia 0.95
180) Switzerland 0.95
181) Canada 0.95
182) France 0.95
183) Croatia 0.95
184) Hong Kong 0.94
185) Guernsey 0.94
186) Australia 0.94
187) Finland 0.94
188) Austria 0.94
189) Belgium 0.94
190) Japan 0.94
191) Faroe Islands 0.94
192) Bosnia and Herzegovina 0.93
193) Malta 0.93
194) Serbia 0.93
195) Saint Martin 0.93
196) Turks and Caicos Islands 0.92
197) Hungary 0.92
198) Liechtenstein 0.92
199) Slovakia 0.92
200) Germany 0.92
201) Poland 0.92
202) Ireland 0.92
203) Romania 0.91
204) Saint Helena 0.91
205) Taiwan 0.91
206) Italy 0.91
207) Bulgaria 0.91
208) Trinidad and Tobago 0.90
209) Czech Republic 0.89
210) Greece 0.88
211) Saint Pierre and Miquelon 0.88
212) Slovenia 0.88
213) Seychelles 0.87
214) Portugal 0.86
215) Korea, South 0.86
216) Cyprus 0.84
217) Oman 0.82
218) Spain 0.81
219) Saudi Arabia 0.81
220) Montenegro 0.80
221) Andorra 0.80
222) Palau 0.72
223) Maldives 0.68
224) Saint Barthelemy 0.65
225) Kuwait 0.57
226) Bahrain 0.54
227) United Arab Emirates 0.35
228) Qatar 0.22
The data reflects the stand of sometime
in 2012.
The results are rather discouraging. Women
seem to be readily available in black Africa, while being rather scarce in the
developed countries. Most obviously, though, men looking for women would do
wisely to stay away from the rich Arab countries in the Persian Gulf region.
More specifically, the situation in various
regions is like this:
Among the white countries, the clear leader
on fuckable women's surplus is Albania (1.22), followed by Jersey (1.02),
Greenland (1.02) and Estonia (1.01). Almost all white countries have a slight
deficit of fuckable women, the worst being Andorra (0.80), Montenegro (0.80)
and Spain (0.81).
In yellow Asia, the leaders are Macau
(1.26), Laos (1.20) and Cambodia (1.19). Most countries are close to 1. Even
the worst three – South Korea (0.86), Taiwan (0.91) and Japan (0.94) – are
comparable to the white countries' average.
In Latin America, the ratios are somewhat
better, the leaders being Guatemala (1.30), El Salvador (1.25) and Nicaragua
(1.24). Suriname is the only country below 1 (0.97), with Brazil, Costa Rica,
Panama, Chile and Argentina very close to 1.
Sub-Saharan Africa is, as mentioned, man's
paradise in this particular respect (if hardly in anything else). Djibouti is
above 1.50, that is 3 women per 2 men, then Mayotte, Chad, Zimbabwe and
Mozambique above 4 women per 3 men, and 7 more countries above 5 women per 4
men. There are only four countries below 1.1: the Seychelles (0.87), Saint
Helena (0.91), Mauritius (0.99) and South Africa (1.03).
The heterogenous Indian-Semitic area
between the white Europe, black Africa and yellow Asia offers a very varied picture
with Nepal (1.36), Bangladesh (1.30) and Afghanistan (1.20) near the top of the
rankings and Qatar, UAE, Bahrain and Kuwait at absolute bottom.
The leader of the Caribbean region are the
U.S. Virgin Islands (1.23) with several more countries with a ratio near 1.2.
Near the absolute bottom is the obscure French colony of Saint Barthelemy
(0.65), way below the second-last in this region, Trinidad and Tobago (0.91)
who are near equal with Turks and Caicos (0.92) and Saint Martin (0.93).
Oceania has the overall winner – Northern
Mariana Islands with a whopping 1.62 women per man. The runner-up Cook Islands
are way behind but still commendable 1.20, followed closely by Kiribati and
Micronesia. The only country below 1 is Palau (0.72), with Fiji, Nauru, New
Caledonia and French Polynesia only slightly above 1. Nothing like the bleak
picture in the white countries, here either.
While collecting the data for the above
rankings, I couldn't help paying attention to the population pyramids. Many
black countries' age structures show a perfect pyramid like this:
European countries' population pyramids
look... well, sick:
Somewhat peculiar were the population pyramids
of a few countries like Pakistan:
They are perfect pyramids on top, and then get narrower near the bottom. It would appear that they have exprienced a remarkable living standard increase in the last couple decades, so that people are no longer so eager to make children.
