Lynn IQ vs. Traffic Fatality RateEach One Point Increase in IQ Saves 9 Lives per 100,000 VehiclesRace is a MUCH bigger factor in our high vehicle fatality rate than DUI, drowsiness, sex, and texting, COMBINED
Senegal with an IQ of 64 has 27% fewer fatalities than India, indicating that India's IQ might be 27% lower, or IQ = 55
Why IQ vs. Road Deaths
|
|
% of American drivers |
Fatal accidents per car |
Proportion |
|
Blacks |
6% |
502 |
30.12 |
|
Asians |
2% |
1,503 |
30.06 |
|
Hispanics |
8% |
1,469 |
117.52 |
|
jews |
1% |
418 |
4.598 |
|
Whites |
83% |
14,000 |
11606 |
|
|
|
|
|
|
U.S.A. average |
100% |
5,896 |
11788.3 |
5,892 |
How can this be explained?
Even reducing the estimate for the accident rate of American Blacks
to the rate of 1/10 as it is in the Central African Republic doesn�t change
this by very much:
|
% of American drivers |
Fatal accidents per car |
Proportion |
|
Blacks |
6% |
10 |
0.6 |
|
Asians |
2% |
1,503 |
30.06 |
|
Hispanics |
8% |
1,469 |
117.52 |
|
jews |
1% |
418 |
4.598 |
|
Whites |
83% |
14,000 |
11606 |
|
|
|
|
|
|
U.S.A. average |
100% |
5,896 |
11758.78 |
5,863 |
The only possibility is that American Whites have a
much higher accident rate than the Japanese, or their brethren in
Switzerland. If all of these
assumptions are correct, then the only possibility is that American Whites
have almost twice as many fatal accidents per vehicle as the Swiss and
Japanese, or one fatal accident for every 6,928 vehicles.
This is a rate equivalent Uruguay, England, and Canada who have also
been afflicted by multiculturalism.
|
% of American drivers |
Fatal accidents per car |
Proportion |
|
Blacks |
6% |
10 |
0.6 |
|
Asians |
2% |
1,503 |
30.06 |
|
Hispanics |
8% |
1,469 |
117.52 |
|
jews |
1% |
418 |
4.598 |
|
Whites |
83% |
6,928 |
5743.312 |
|
|
|
|
|
|
U.S.A. average |
100% |
5,896 |
5896.09 |
0 |
If we make the liberal assumption that American Blacks
are equally as accident prone as Ghanans, that American Asians have half the
accident rate of Chinese, Hispanics have half the accident rate of Mexicans,
and jews have half the accident rate of the Gaza Strip, then we must assume
that American Whites actually have an accident rate of 1/6,710:
|
% of American drivers |
Fatal accidents per car |
Proportion |
|
Blacks |
6% |
502 |
30.12 |
|
Asians |
2% |
3,006 |
60.12 |
|
Hispanics |
8% |
2,938 |
235.04 |
|
jews |
1% |
836 |
9.196 |
|
Whites |
83% |
6,710 |
5562.59 |
|
|
|
|
|
|
U.S.A. average |
100% |
5,896 |
5897.066 |
1 |
The most liberal scenario is that American blacks are
13% of the drivers, Asians 4%, Hispanics 11%, and jews 2%, leaving American
Whites as 70% of all drivers with an accident rate of 1/7,015:
|
% of American drivers |
Fatal accidents per car |
Proportion |
|
Blacks |
13% |
502 |
65.26 |
|
Asians |
4% |
6,012 |
240.48 |
|
Hispanics |
11% |
5,876 |
646.36 |
|
jews |
2% |
1,672 |
33.44 |
|
Whites |
70% |
7,015 |
4910.5 |
|
|
|
|
|
|
U.S.A. average |
100% |
5,896 |
5896.04 |
0 |
How can it be explained that, regardless of the assumptions we make, American Whites are almost twice as likely as drivers in Norway, the Netherlands, Germany, Japan, and Switzerland, four times as likely as drivers in Malta, and 8 times as likely as drivers in San Marino, to cause or at least be involved in a fatal accident, particularly when we spend so much more than anyone else for car safety, highways and bridges, and traffic laws and police enforcement? We are the undisputed leader in flawed campaigns like MADD which appear to have made this problem WORSE, not better.
Building on Professor Lynn�s success with his excellent �IQ of Nations�, we�ve devised �IQ of Drivers� which takes
into account all the factors a nation must consider in order to build a safe
highway infrastructure for its citizens.�
Assuming a linear relationship between fatality rates per vehicle and
the average IQ of a nation�s drivers produces a template by which we can estimate
a nation�s �IQ of Drivers�.� The point is
that if all we have is the number of cars and the number of fatal accidents
with those cars, we can estimate their overall intelligence in a manner which
might be even more accurate, and certainly more comprehensive, than a simple IQ
test.
No matter what the reason, if a nation is unable to provide a safe transportation system for their citizens, to the point that they would all be dead within one century if they owned as many cars per capita as many European nations, it deserves the lowest possible �IQ of Drivers�.� Conversely, if a nation has a lower fatality rate than one with a higher Lynn IQ, then it deserves a higher �IQ of Drivers� score.� This is the case for Japan who Professor Lynn estimates to have an IQ of 105, but whose safety record, while it�s excellent, is lower than Switzerland�s.� In order for Japan to fit on the curve, we must reduce Japan�s �IQ of Drivers� by 5 points to 100.
Similarly the �IQ of Drivers� for Germany and the Netherlands, who also have excellent safety records also, needs to be reduced, too, by three points.� Conversely, in Norway and Canada, it must be increased 1 point, in Uruguay 2 points, and in Thailand 3 points.
The largest adjustments which must be made to keep the curve linear is to increase Niger by 18 points and UAE by 10 points, contrasted with a reduction for the Gaza Strip of 20 points, of Egypt by 23 points, and of Kenya by 12 points (from 72 to 60 IQ points).� A point which is off the chart and thus is a statistical outlier is Ethiopia whose �IQ of Drivers� would have to be decreased 68 points to a NEGATIVE 5 IQ points in order to keep the curve linear.
If a driver in Gaza has been proven to be 24 TIMES more dangerous on the road than the drivers in ALL of Europe, and 35 TIMES more dangerous than one in Switzerland, wouldn�t it make more sense to say that his average IQ is 27 IQ points lower than a Swiss driver (74 vs. 101), rather than only 7 IQ points lower (94 vs. 101).� And if that same driver in Gaza is one fourth as likely to kill someone on the highway as one in Ethiopia, then clearly the gap in IQ is much closer to the �IQ of Drivers� gap of 79 than it is to Professor Lynn�s gap of only 31.� And if a driver in Kenya has been proven to be 54 TIMES more dangerous than a driver in Switzerland, doesn�t it make more sense to say that the difference in IQ is closer to 41 points (60 vs. 101) than it is to only 29 points (72 vs. 101)?
The reason Kenya appears twice on this graph is that we have three separate data points from WHO regarding the number of vehicles and number of deaths.� The graph for Kenya shows 2,893 traffic fatalities and 1,004,243 registered vehicles, whereas Table A.2 shows 3,760 traffic fatalities and 1,004,243 registered vehicles, and a prior table from their Statistical Annex reports that Kenya has only 14 vehicles per 1,000 people which is only 525,000 vehicles.
Ignoring for a moment third world countries who clearly should not promote private ownership of vehicles without threatening their own extinction, and focusing only on countries which have had some success at building transportation infrastructures, produces the following graph:
Country |
number vehicles |
total traffic deaths |
Vehicles per death |
Deaths per 100 thousand vehicles |
arencee |
IQ |
IQ Adjusted |
Adjusted by |
Korea |
48,223,853 |
571 |
84,455 |
1.2 |
1.2 |
106 |
103.4 |
-2.6 |
San Marino |
51,590 |
1 |
51,590 |
1.9 |
1.9 |
103.1 |
||
Malta |
346,118 |
14 |
24,723 |
4.0 |
3.9 |
95 |
102.8 |
7.8 |
Switzerland |
5,356,000 |
370 |
14,476 |
6.9 |
6.9 |
101 |
102.2 |
1.2 |
Japan |
91,378,636 |
6,639 |
13,764 |
7.3 |
7.3 |
105 |
102 |
-3 |
Germany |
55,511,374 |
4,949 |
11,217 |
8.9 |
8.9 |
102 |
101.8 |
-0.2 |
Netherlands |
8,862,935 |
791 |
11,205 |
8.9 |
8.9 |
102 |
101.8 |
-0.2 |
Norway |
2,599,712 |
233 |
11,158 |
9.0 |
9.0 |
98 |
101.7 |
3.7 |
Sweden |
4,285,000 |
477 |
8,983 |
11.1 |
11.1 |
101 |
101.5 |
0.5 |
Canada |
20,650,000 |
2,889 |
7,148 |
14.0 |
14.4 |
97 |
101 |
4 |
England, Wales |
22,607,629 |
3,166 |
7,141 |
14.0 |
14.0 |
100 |
101 |
1 |
Uruguay |
952,000 |
145 |
6,566 |
15.2 |
15.2 |
96 |
100.7 |
4.7 |
USA |
251,422,509 |
42,642 |
5,896 |
17.0 |
17.0 |
98 |
100.3 |
2.3 |
Marshall Is. |
2,487 |
1 |
2,487 |
40.2 |
40.2 |
84 |
96.5 |
12.5 |
Thailand |
25,618,447 |
12,492 |
2,051 |
48.8 |
48.8 |
91 |
95 |
4 |
Cook Is. |
10,692 |
6 |
1,782 |
56.1 |
56.1 |
0 |
||
United Arab Emirates |
1,754,420 |
1,056 |
1,661 |
60.2 |
60.2 |
83 |
93 |
10 |
China |
145,228,994 |
96,611 |
1,503 |
66.5 |
66.5 |
100 |
92 |
-8 |
Please note that in order to get r-squared as close to a 1.0 as possible, adjustments were made to Professor Lynn�s �IQ of Nations� in tenths of an IQ point. �While the Republic of Korea scores very high in academic tests, we had to reduce their �IQ of Drivers� to 97, an 8 IQ point decrease from Professor Lynn�s estimate of 106 in order for Korea to fit on the curve.� Similarly, the �IQ of Drivers� for China was reduced 8 IQ points, for Japan was reduced 3 IQ points, and for Germany and the Netherlands .2 IQ points.� Conversely, in order to fit the UAE on the curve, we had to increase their �IQ of Drivers� to 93, a 10 IQ point increase from Professor Lynn�s estimate of 83.� Ergo the 7.8 IQ point increase in Malta, the 1.2 IQ point increase for Switzerland, the 3.7 IQ point increase for Norway, and the 2.3 IQ point increase for the USA.
What this means is that even though the academic credentials for countries like Japan, Korea, and China are excellent, this doesn�t necessarily translate directly into their having safer or more intelligent drivers AND the ability and resources to build transportation infrastructures.� It also means that while the academic credentials for countries like the UAE, Malta, Uruguay, and the Marshall Islands appear to be lacking, their actual implementation of transportation infrastructures, as well as the intelligence of their drivers, exceeds expectations by a significant amount.� The other decimal point corrections prove the accuracy of Professor Lynn�s �IQ of Nations� and how it translates into public policy, safer roads, more intelligent drivers, more productive economies, and advancements in technology.
The simple fact that Japan, one of the countries with the highest IQ (105), is also one of the safest countries (7 deaths per 100,000 vehicles), while Kenya, one of the countries with the lowest IQ (72), is also one of the most dangerous countries (288 deaths per 100,000 vehicles), means that the effects of IQ on safe driving just cannot be ignored.
Country |
Number of Vehicles |
Total Traffic Deaths |
Vehicles per Death |
Deaths per 100,000 Vehicles |
Deaths per 100 thousand vehicles |
Lynn IQ |
IQ Ad justed |
Adjusted by |
|
Relative to Israel |
San Marino |
51,590 |
1 |
51,590 |
1.9 |
1.9 |
|
|
|
|
123.4 |
Malta |
346,118 |
14 |
24,723 |
4.0 |
3.9 |
95 |
100 |
5 |
|
60.9 |
Switzerland |
5,356,000 |
370 |
14,476 |
6.9 |
6.9 |
101 |
100 |
-1 |
|
34.6 |
Japan |
91,378,636 |
6,639 |
13,764 |
7.3 |
7.3 |
105 |
100 |
-5 |
|
32.9 |
Germany |
55,511,374 |
4,949 |
11,217 |
8.9 |
8.9 |
102 |
100 |
-2 |
|
26.8 |
Netherlands |
8,862,935 |
791 |
11,205 |
8.9 |
8.9 |
102 |
100 |
-2 |
|
26.8 |
Norway |
2,599,712 |
233 |
11,158 |
9.0 |
9.0 |
98 |
100 |
2 |
|
26.7 |
Sweden |
4,285,000 |
477 |
8,983 |
11.1 |
11.1 |
101 |
99.5 |
-1.5 |
|
21.5 |
England, Wales |
22,607,629 |
3,166 |
7,141 |
14.0 |
14.0 |
100 |
99.5 |
-0.5 |
|
17.1 |
Canada |
20,650,000 |
2,889 |
7,148 |
14.0 |
14.4 |
97 |
99 |
2 |
|
16.6 |
Uruguay |
952,000 |
145 |
6,566 |
15.2 |
15.2 |
96 |
99 |
3 |
|
15.7 |
USA |
251,422,509 |
42,642 |
5,896 |
17.0 |
17.0 |
98 |
99 |
1 |
|
14.1 |
Korea |
18,213,228 |
6,166 |
2,954 |
33.9 |
33.9 |
105 |
97 |
-8 |
|
7.1 |
Marshall Is. |
2,487 |
1 |
2,487 |
40.2 |
40.2 |
84 |
96 |
12 |
|
5.9 |
Thailand |
25,618,447 |
12,492 |
2,051 |
48.8 |
48.8 |
91 |
95 |
4 |
|
4.9 |
United Arab Emirates |
1,754,420 |
1,056 |
1,661 |
60.2 |
60.2 |
83 |
94 |
11 |
|
4.0 |
China |
145,228,994 |
96,611 |
1,503 |
66.5 |
66.5 |
100 |
93 |
-7 |
|
3.6 |
Iraq |
2,242,269 |
1,932 |
1,161 |
86.2 |
86.1 |
87 |
91 |
4 |
|
2.8 |
Libya |
1,826,533 |
2,138 |
854 |
117.1 |
117.0 |
84 |
88 |
4 |
|
2.0 |
Congo |
311,781 |
365 |
854 |
117.1 |
117.1 |
73 |
87.5 |
14.5 |
|
2.0 |
Eriteria |
60,849 |
81 |
751 |
133.1 |
133.2 |
68 |
86 |
18 |
|
1.8 |
India |
72,718,000 |
105,725 |
688 |
145.4 |
145.3 |
81 |
85 |
4 |
|
1.6 |
S. Africa |
9,237,574 |
16,113 |
573 |
174.4 |
174.5 |
72 |
81.5 |
9.5 |
|
1.4 |
Ghana |
931,642 |
1,856 |
502 |
199.2 |
199.2 |
71 |
78.6 |
7.6 |
|
1.2 |
Israel |
78,609 |
188 |
418 |
239.2 |
239.2 |
94 |
74.5 |
-20 |
|
1.0 |
Afghanistan |
731,607 |
1,779 |
411 |
243.2 |
243.2 |
83 |
74 |
-9 |
|
1.0 |
Guinea-Bisau |
57,839 |
152 |
381 |
262.8 |
262.8 |
63 |
71.5 |
8.5 |
|
0.91 |
Kenya graph |
1,004,243 |
2,893 |
347 |
288.1 |
288.1 |
72 |
69 |
-3 |
|
0.83 |
Angola |
671,060 |
2,358 |
285 |
351.4 |
350.9 |
69 |
62 |
-7 |
|
0.68 |
Egypt |
4,300,000 |
15,983 |
269 |
371.7 |
371.7 |
83 |
59.8 |
-23 |
|
0.64 |
Gambia |
14,450 |
54 |
268 |
373.7 |
374.5 |
64 |
59.6 |
-4.4 |
|
0.64 |
Kenya table A.2 |
1,004,243 |
3,760 |
267 |
374.4 |
374.5 |
72 |
59.3 |
-13 |
|
0.64 |
Tanzania |
577,949 |
2,595 |
223 |
449.0 |
449.0 |
72 |
51 |
-21 |
|
0.53 |
Niger |
76,061 |
570 |
133 |
749.4 |
749.4 |
67 |
18 |
-49 |
|
0.32 |
Uganda |
363,658 |
2,838 |
128 |
780.4 |
780.4 |
73 |
15 |
-58 |
|
0.31 |
Sao Tome |
1,219 |
20 |
61 |
1,640.7 |
1,640.7 |
59 |
|
|
|
0.15 |
Ethiopia |
109,000 |
1,800 |
61 |
1,651.4 |
1,651.4 |
63 |
|
|
|
0.14 |
Kenya 1st report |
|
|
|
2,040.0 |
|
|
|
|
0.12 |
|
Italy |
43,262,992 |
5,669 |
7,632 |
13.1 |
13.1 |
102 |
100 |
-2 |
|
18.3 |
Spain |
31,441,152 |
4,104 |
7,661 |
13.1 |
13.1 |
99 |
99 |
0 |
|
18.3 |
Country |
Number of Vehicles |
Annual Traffic Deaths |
Vehicles per Annual Death |
Deaths per 100K
Vehicles |
Lynn IQ |
Adjust ed |
Adjust ed By |
Random Alcohol Breath Testing |
San Marino |
51,590 |
1 |
51,590 |
1.9 |
100.5 |
|||
Malta |
346,118 |
14 |
24,723 |
4.0 |
95 |
100 |
5 |
|
Switzerland |
5,356,000 |
370 |
14,476 |
6.9 |
101 |
100 |
-1 |
NO |
91,378,636 |
6,639 |
13,764 |
7.3 |
105 |
100 |
-5 |
NO | |
Finland |
4,656,370 |
380 |
12,253 |
8.2 |
98 |
100 |
2 |
|
Germany |
55,511,374 |
4,949 |
11,217 |
8.9 |
102 |
100 |
-2 |
|
Netherlands |
8,862,935 |
791 |
11,205 |
8.9 |
102 |
100 |
-2 |
|
Norway |
2,599,712 |
233 |
11,158 |
9.0 |
98 |
100 |
2 |
|
Sweden |
4,285,000 |
477 |
8,983 |
11.1 |
101 |
99.5 |
-1.5 |
NO |
Spain |
31,441,152 |
4,104 |
7,661 |
13.1 |
69 |
62 |
-7 |
|
Italy |
43,262,992 |
5,669 |
7,632 |
13.1 |
102 |
102 |
0 |
NO |
England, Wales |
22,607,629 |
3,166 |
7,141 |
14.0 |
100 |
99.5 |
-0.5 |
NO |
Canada |
20,650,000 |
2,889 |
7,148 |
14.0 |
97 |
99 |
2 |
|
Uruguay |
952,000 |
145 |
6,566 |
15.2 |
96 |
99 |
3 |
|
USA |
251,422,509 |
42,642 |
5,896 |
17.0 |
98 |
99 |
1 |
60 million |
Korea |
18,213,228 |
6,166 |
2,954 |
33.9 |
105 |
97 |
-8 |
|
Marshall Is. |
2,487 |
1 |
2,487 |
40.2 |
84 |
96 |
12 |
|
Thailand |
25,618,447 |
12,492 |
2,051 |
48.8 |
91 |
95 |
4 |
|
United Arab Emirates |
1,754,420 |
1,056 |
1,661 |
60.2 |
83 |
94 |
11 |
|
China |
145,228,994 |
96,611 |
1,503 |
66.5 |
100 |
93 |
-7 |
|
Mexico | 24,970,879 | 17,003 | 1,469 | 68.1 | 87 | 92 | 5 | |
Iraq |
2,242,269 |
1,932 |
1,161 |
86.2 |
87 |
91 |
4 |
|
Libya |
1,826,533 |
2,138 |
854 |
117.1 |
84 |
88 |
4 |
|
Congo |
311,781 |
365 |
854 |
117.1 |
73 |
87.5 |
14.5 |
|
Eriteria |
60,849 |
81 |
751 |
133.1 |
68 |
86 |
18 |
|
India |
72,718,000 |
105,725 |
688 |
145.4 |
81 |
85 |
4 |
|
S. Africa |
9,237,574 |
16,113 |
573 |
174.4 |
72 |
81.5 |
9.5 |
|
Ghana |
931,642 |
1,856 |
502 |
199.2 |
71 |
78.6 |
7.6 |
|
Gaza Strip |
78,609 |
188 |
418 |
239.2 |
94 |
74.5 |
-20 |
|
Afghanistan |
731,607 |
1,779 |
411 |
243.2 |
83 |
74 |
-9 |
|
Guinea-Bisau |
57,839 |
152 |
381 |
262.8 |
63 |
71.5 |
8.5 |
|
Kenya graph |
1,004,243 |
2,893 |
347 |
288.1 |
72 |
69 |
-3 |
|
Angola |
671,060 |
2,358 |
285 |
351.4 |
69 |
62 |
-7 |
|
Egypt |
4,300,000 |
15,983 |
269 |
371.7 |
83 |
59.8 |
-23 |
|
Gambia |
14,450 |
54 |
268 |
373.7 |
64 |
59.6 |
-4.4 |
|
Kenya table A.2 |
1,004,243 |
3,760 |
267 |
374.4 |
72 |
59.3 |
-13 |
|
Tanzania |
577,949 |
2,595 |
223 |
449.0 |
72 |
51 |
-21 |
|
Niger |
76,061 |
570 |
133 |
749.4 |
67 |
18 |
-49 |
|
Uganda |
363,658 |
2,838 |
128 |
780.4 |
73 |
15 |
-58 |
|
Sao Tome |
1,219 |
20 |
61 |
1,640.7 |
59 |
-59 |
||
Ethiopia |
109,000 |
1,800 |
61 |
1,651.4 |
63 |
|
-63 |
Control of alcohol problems: There is a minimum legal age limit of 18 for purchasing alcoholic beverages. However it is possible to consume some alcoholic beverages in bars or restaurants at 16 or 17 years of age. BAC limit is 0.08 g% for drivers. On conviction for a first or subsequent offence of driving above the BAC limit, suspension of driving licence is usual. Random alcohol breath testing is not carried out. [England REDUCED fatality rates two thirds by DOUBLING alcohol dependence].
Control of alcohol problems The sale of alcohol to those under 16 years of age is prohibited. The BAC limit is 0.08 g% for drivers. Suspension of driving licence or imprisonment is a usual penalty when a person is convicted for a first offence. Random alcohol breath testing is not carried out.
Control of alcohol products: There are no price controls on alcoholic beverages. No official subsidy is given to the domestic alcohol trade except in the form of the import tariffs imposed on foreign alcoholic beverages.
Control of alcohol problems There is a minimum legal age limit of 16 years for buying alcohol. There is no specific legislation on the maximum blood alcohol content permitted while driving. If a person has a severe traffic crash and is admitted to the hospital, BAC will be tested there and the result may be used as evidence for insurance purposes. The legal offence is most likely to be one of careless driving
At the national level, priorities of the 1990s have been reducing availability; mass media campaigns to encourage safer drinking; encouraging lighter drinking in work settings; increasing the role of primary health care teams in the prevention and early detection of alcohol problems; using price policy to reduce demand; developing the roles of the social welfare system and the criminal justice system in the prevention and management of alcohol problems; developing specialized treatment for alcohol dependence and other alcohol problems; and addressing particular alcohol problems.
Control of alcohol problems: There is a minimum legal age limit of 16 years for buying fermented beverages and an age limit of 18 years for buying distilled beverages. Since the mid-1980s the Federal Law prohibits advertising of spirits in or on places for public usage, sporting fields and events, events for young people and price lists, etc. The BAC limit is 0.08 g% for drivers. Random alcohol breath testing is not carried out. Penalties for driving above the permitted limit vary from canton to canton.
The World Health Organization Statistical Annex referenced above reports that in 2002 in the African region (an area with a population of 838,720,000), there were a total of 249,142 traffic fatalities.� They also report that there are 11 cars per 1,000 people, which is a total of 9,225,920 cars.� This is 1 traffic fatality for every 37 cars and a traffic fatality rate per 100,000 cars of 2,700, making the average African driver 391 TIMES more dangerous than the average Swiss driver.
http://whqlibdoc.who.int/publications/2009/9789241563840_eng.pdf
Ah yes, statistics� Deaths compared to registered vehicles tell a story more sigificant to me. Here are a few:
1 Eritrea 1/751
2 Cook Islands 1/1782
3 Eqypt 1/269
4 Jamahirya 1/854
5 Afghanistan 1/854
6 Iraq 1/1161
7 Niger 1/133
8 Angola 1/285
9 UAE 1/1661
10 Gambia 1/267
1 Marshall Isl 1/2487
2 San Marino 1/51590
3 Malta 1/25437
4 Uraguay 1/6566
5 Netherlands 1/11205
5 Singapore 1/3978
7 Switzerland 1/14476
7 West Bank 1/418
9 Norway 1/11158
9 Japan 1/13764
Ethiopia 1/100
Canada 1/6945
China 1/1503
Thailand 1/2051
South Africa 1/573
India 1/688
Senegal 1/875
USA 1/5896
Germany 1/11217
Saudi Arabia 1/1163
Central African Republic 1/10
Sao Tome 1/60
Spain 1/7661
Mexico 1/1468