Statistics

The accuracy of data on this is site not guaranteed.


Links To Content Section

Economy
Bribe
Environment
Guns
Homeless
Inequality
Prison
Property Rights

Guns And Correlation With Life Expectancy

Guns Correlation Male Life Expectancy Correlation Female Life Expectancy
Amount Of Guns Per Person .43 .41
Percent Of Registered Guns .41 .43
Percent Of Unregistered Guns -.41 -.43

#GunReform

In the United States some estimates are that 99% of guns are unregistered.
The data shows that high levels of registered gun ownership are correlated with higher life expectancy.

Correlation does not mean causation.

Possible Explanations.
Citizens who are well armed are more likely to be able to defend themselves. Registered guns show the citizens are wealthier and could afford registration. Wealthier citizens would less likely use a weapon for antisocial reasons as opposed to someone who is poorer. A registered firearm is also tied to a persons identity which in turn might make a person less likely to use a firearm for illegal ends.

Prison And Correlation With Life Expectancy

Prison Correlation Male Life Expectancy Correlation Female Life Expectancy
Prisoners Per Population .17 .26
Percent Of Female Prisoners .32 .36
Prison Population Density -.35 -.38
Prisoners Awaiting Trial -.25 -.31
Percent Of Foreign Prisoners .44 .36

#Prison

Possible Explanations.
Prisoners Per Population: A higher prison population could indicate certain people need to be taken off the streets or a system that is able to effectively manage the problems in a society.
Percent of Females prisoners: Contrary to mainstream beliefs, women possess more power and therefore more responsibility for antisocial behaviour. Women also fight for territory and are more likely to be at odds with one another and a potential problem for males.
Prison Population Density: Overcrowded prisons could cause problems and are an indication that well being of humans is not a priority. The crowding together of people who display antisocial behaviour could result in conflict.
Prisoners Awaiting Trial: Studies have shown that people kept for long periods of time in confinement are more likely to give false testimony in order to be released. This could also potentially show that the justice system is inefficient and or is holding people unnecessarily.
Percent Of Foreign Prisoners: When a country is wealthier; the people coming into the country are more likely to be coming from a poorer and more corrupt country and their antisocial behaviour is carried with them. Also domestic citizens are less likely to cause problems and more likely to work with other fellow citizens. The prisoners counted as foreigners could either mean people with no legal status or citizens who have dual citizenship. A citizen who has only one citizenship would be under more stress if justice system was used against him because of his lack of ability to flee to another country.

Environment And Correlation With Life Expectancy

Environment Correlation Male Life Expectancy Correlation Female Life Expectancy
CO2 Levels By Country -.07 -.10
CO2 Levels By Population Density .21 .22
Higher Average Temperature -.45 -.52
Higher Level Of Pollution -.60 -.65

#Environment

Note.
CO2 data seems to show an opposite correlation when density is taken into account.


Homelessness And Correlation With Life Expectancy

Homelessness Correlation Male Life Expectancy Correlation Female Life Expectancy
Homeless Per Population -.56 -.64

#Homeless

Possible Explanations.
Homelessness is associated with lack of property rights. This lack of property rights could lead to a more unstable and unsafe living environment.

Property Rights And Correlation With Life Expectancy

Property Rights Correlation Male Life Expectancy Correlation Female Life Expectancy
Female Shared Ownership Of Land -.38 -.31
Male Shared Ownership Of Land -.20 -.22
Female Only Ownership Of Land .04 .19
Male Only Ownership Of Land .12 .05

#Property

Possible Explanations.
According to the data; men and women sharing land ownership is not a good idea. It seems that the owner should either be a male or female.

Wealth And Income Inequality And Correlation With Life Expectancy

Inequality Correlation Male Life Expectancy Correlation Female Life Expectancy
Wealth Inequality -.04 -.06
Income Inequality -.40 -.35

#Inequality

Note.
Wealth inequality has a low negative correlation with life expectancy. Income equality between upper and lower classes has a more negative correlation with life expectancy. A division between the wealthy and the poor when it comes to income might have negative effects on the community.



Bribe Rate And Correlation With Life Expectancy

Bribe Rate Correlation Male Life Expectancy Correlation Female Life Expectancy
Lower Bribe Rate .64 .61

#Bribe

Note.
Bribes are associated with corruption and a lower bribe rate is positively correlated with life expectancy.


Economy And Correlation With Life Expectancy

Economy Correlation Male Life Expectancy Correlation Female Life Expectancy
Inflation Rate -.23 -.21
Higher Ratio Of Property Price To Salary -.41 -.37
Higher Price Of Goods And Services .78 .68

#Economy

Possible Explanations.
Inflation Rate: Inflation leads to weakening of purchasing power.
Higher Ratio Of Property Price To Salary: Higher ratio of property price to salary leads to a more difficult time in acquiring property.
Higher Price Of Goods And Services: Higher prices on goods and services leads to higher quality of goods and services.

Good Salary And Minimum Wage

Country Average Salary In USD Minimum Wage In USD Lower End Minimum Wage In USD Higher End
Albania 2000 700 1200
Algeria 1500 525 900
Armenia 1500 525 900
Australia 4400 1540 2640
Austria 3500 1225 2100
Azerbaijan 1600 560 960
Bahrain 3200 1120 1920
Bangladesh 1900 665 1140
Belarus 1700 595 1020
Belgium 3700 1295 2220
Bolivia 2100 735 1260
Bosnia And Herzegovina 1800 630 1080
Brazil 1600 560 960
Bulgaria 1900 665 1140
Canada 3700 1295 2220
Chile 2400 840 1440
China 2500 875 1500
Colombia 1600 560 960
Costa Rica 2700 945 1620
Croatia 2800 980 1680
Cyprus 2900 1015 1740
Czech Republic 2300 805 1380
Denmark 4300 1505 2580
Dominican Republic 2400 840 1440
Ecuador 2200 770 1320
Egypt 1600 560 960
El Salvador 2500 875 1500
Estonia 2600 910 1560
Ethiopia 2400 840 1440
Finland 3700 1295 2220
France 3700 1295 2220
Georgia 1400 490 840
Germany 3400 1190 2040
Ghana 2400 840 1440
Greece 2800 980 1680
Guatemala 2500 875 1500
Honduras 2300 805 1380
Hong Kong 5200 1820 3120
Hungary 2000 700 1200
Iceland 4800 1680 2880
India 1400 490 840
Indonesia 2100 735 1260
Iran 2100 735 1260
Iraq 1700 595 1020
Ireland 4100 1435 2460
Israel 4100 1435 2460
Italy 3200 1120 1920
Jamaica 2900 1015 1740
Japan 4300 1505 2580
Jordan 2900 1015 1740
Kazakhstan 1600 560 960
Kenya 1900 665 1140
Kosovo 1400 490 840
Kuwait 2900 1015 1740
Latvia 2400 840 1440
Lebanon 3900 1365 2340
Lithuania 2300 805 1380
Malaysia 2000 700 1200
Malta 3600 1260 2160
Mexico 1800 630 1080
Moldova 1600 560 960
Montenegro 2000 700 1200
Morocco 1900 665 1140
Nepal 1600 560 960
Netherlands 4000 1400 2400
New Zealand 3900 1365 2340
Nigeria 2000 700 1200
North Macedonia 1600 560 960
Norway 5200 1820 3120
Oman 2900 1015 1740
Pakistan 1300 455 780
Palestine 2700 945 1620
Panama 2800 980 1680
Paraguay 1800 630 1080
Peru 1900 665 1140
Philippines 2200 770 1320
Poland 1900 665 1140
Portugal 2500 875 1500
Puerto Rico 3500 1225 2100
Qatar 4100 1435 2460
Romania 1800 630 1080
Russia 1600 560 960
Saudi Arabia 2400 840 1440
Serbia 1800 630 1080
Singapore 5100 1785 3060
Slovakia 2300 805 1380
Slovenia 2600 910 1560
South Africa 2200 770 1320
South Korea 4400 1540 2640
Spain 2700 945 1620
Sri Lanka 1600 560 960
Sweden 3700 1295 2220
Switzerland 6000 2100 3600
Taiwan 3400 1190 2040
Thailand 2400 840 1440
Trinidad And Tobago 2800 980 1680
Tunisia 1400 490 840
Turkey 1500 525 900
Ukraine 1500 525 900
United Arab Emirates 3500 1225 2100
United Kingdom 3700 1295 2220
United States 3900 1365 2340
Uruguay 2500 875 1500
Uzbekistan 1400 490 840
Vietnam 1900 665 1140

#Salary #Income #MinimumWage

Note.
The data shows what the ideal salary would be in 2021 for each country.

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