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Per Capita Income Around the World

Per capita income figures for the countries and regions of the world.

Hind Swaraj, by M.K. Gandhi

While rarely read this is Gandhi's most important written work.

Civilization and Success

The traditional explanation for the noticeable differences in income across cultures was to say that they differed in their level of civilization.

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Civilization and Success
Culture is to the group what personality is to the individual. Civilization is to the group what enlightenment is to the individual.

By the Numbers
A careful examination of the numbers is necessary to understand the relationship between success and culture.

Third World and the Underclass
The Third World is where the relationship between success and culture is revealed in the most brutal manner.

Politics and Success
The central political issue of our time is whether or not culture influences success.

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Per Capita Income Around the World

Per capita income figures for the countries and regions of the world.

Hind Swaraj, by M.K. Gandhi

While rarely read this is Gandhi's most important written work.

Civilization and Success

The traditional explanation for the noticeable differences in income across cultures was to say that they differed in their level of civilization.

Fundamentals of Prosperity

This 1920 work by Roger Babson is a classic with in its genre. It promotes the traditional, pre-1960s explanation for the connection between success and culture.

Zimbabwe: the World's Largest Test Tube

Current events in Zimbabwe are giving us an unprecedented opportunity to measure and judge the effect of white settlement and colonization in Africa.

US Incomes by Race, Ethnicity and Religion

Average US Incomes by Race, Ethnicity and Religion.

Are Calvinists Predestined to Succeed?

Max Weber's claim that Protestantism is more conducive to success than Catholicism and that Calvinism is in particular more successful is widely repeated and rarely examined.

Wealth and the Recogniton of Culture

We need to recognize that culture is the personality of a group or race and we must see culture and having seen it, make it a work of art.

The Recipient Class

The moral justification for welfare is supposed to be that we are temporarily helping out our fellow man through a rough stretch of road or helping the disabled permanently. If it is to become a system for continually transferring wealth from one group to another the people behind this change owe us an explanation.

Culturalism

The great taboo of our age is not speaking about race, but speaking about culture.

Bourgeois

Bourgeoisie is more than just a term of abuse used by the Left, it refers to a real people who led real lives.

Selections from the Federal Outlook

Selections from a 1960's Rhodesian newspaper.

How Africa Underdeveloped Africa

Africa is the poorest place in the world. Why?

Will Famine Come to Zimbabwe?

The end of commercial farming in Zimbabwe could plunge the country into famine.

The Tragedy of the Zimbabwe Commons
Communally owned property always has and always will suffer from the 'tragedy of the commons' problem.

Band Aid
Africa recieves $15 billion a year in aid. Is it helping?

Civilization

Culture is to the group what personality is to the individual. Civilization is to the group what enlightenment is to the individual. All groups have cultures, but not all cultures are civilized. If all cultures were civilized than the term would have no descriptive quality. Civilization does have a descriptive quality and it is something worth achieving and defending.


Per Capita Income Around the World

Per capita income figures for the countries and regions of the world.

Hind Swaraj, by M.K. Gandhi

While rarely read this is Gandhi's most important written work.

Civilization and Success

The traditional explanation for the noticeable differences in income across cultures was to say that they differed in their level of civilization.

Fundamentals of Prosperity

This 1920 work by Roger Babson is a classic with in its genre. It promotes the traditional, pre-1960s explanation for the connection between success and culture.

US Incomes by Race, Ethnicity and Religion

Average US Incomes by Race, Ethnicity and Religion.

Wealth and the Recognition of Culture

We need to recognize that culture is the personality of a group or race and we must see culture and having seen it, make it a work of art.

The Recipient Class

The moral justification for welfare is supposed to be that we are temporarily helping out our fellow man through a rough stretch of road or helping the disabled permanently. If it is to become a system for continually transferring wealth from one group to another the people behind this change owe us an explanation.

Culturalism

The great taboo of our age is not speaking about race, but speaking about culture.

( jump ahead to data tables )

Most of the per capita income figures in these tables are from the World Bank and are for 2003. Where figures were unavailable from the World Bank the per capita income figures are from the CIA Fact Book.

Most listings of per capita income figures tend to be the same because they are usually based on the same information provided by the government of that country. There is little research done on this topic beside collecting together government provided information. There are two common ways of presenting per capita income data. One way is to adjust for the cost of living in each country. This is called the PPP method which stands for Purchasing Power Parity. Most of the per capita income figures thrown around are PPP figures whether or not that is stated. The second method is called the Atlas method. These figures are adjusted for currency values and inflation according to various schemes. Since most people use PPP figures I use them also so that I won't confuse anyone by using numbers different from what they are used to seeing. The two numbers can vary by a great deal. China's PPP figure is $4,990, the 118th highest in the world. It's Atlas figure is $1,100, the 133th highest in the world. I would imagine that the accuracy of the PPP method would vary with the degree to which each countries cost of living was accurately estimated by the researchers. The most common method for calculating with the PPP method is to use the USA as the base for comparing the price of a basket of goods and when this is done the USA's figures are the same for both PPP and Atlas. In these data tables the World Bank is using a more complicated scheme of its own devising called ICP and here the PPP and Atlas figures for the USA differ by $110.

For some reason the World Bank does not give figures for certain countries, though they do rank these countries. I don't know how the World Bank can rank Bermuda as having the second highest per capita income without knowing what their per capita income is, but that is the way the data is presented. So what I have done is written N/A for every country for which World Bank does not have an estimate. The CIA Fact Book figures are PPP figures and so I included those after the N/A in the PPP section for those countries that the CIA Fact Book covered but the World Bank did not.

The more commonly used PPP figures may be the best because they tend to lower the results for the richest countries and raise the results for the poorest. This is useful because economic activity in poor countries is understated due to alternatives to purchased goods and services. When a farmer eats food he grew himself it does not show up in the statistics. When someone repairs their own car or home it also does not show up in the statistics. The same goes for most bartered trade. If someone fixes his neighbor's car in exchange for some vegetables from his neighbor's garden none of this will show up in the statistics. These types of activities occur much more often in the poor countries of the world. I live in America and have never successfully repaired my own car. In much of the Third World owning and operating a car is synonymous with repairing it yourself. One often hears about how vast millions of people in Africa have to survive on some tiny amount such as $1 a day. This is not true. If a farmer in Africa only eats the food he grew himself than this shows up in the statistics as having survived on zero dollars a day. If a farmer eats food he grew himself and then goes to Starbucks once a year and gets a cup of coffee then the statistics will say that he survived on $1.40 a year. That is absurd. There is also the work done by housewives. None of this shows up in the statistics which means that countries with more wives at home have their per capita income figures lowered compared to countries with more wives in the workplace. The USA has one of the smallest proportion of housewives in the world and has one of the highest per capita income figures.

There is also the odd case of Luxembourg. I am sure that this a fine little country, but the average income in Luxembourg is *not* $54,430 a year. Luxembourg is a small country of less than 500,000 people with very favorable banking laws. Each workday very large numbers of Belgians and Germans commute to Luxembourg to work in the financial industries located there for legal reasons. The labor these commuters perform adds to the size of Luxembourg's economy, but these commuters do not add to the size of Luxembourg's population. So when this tiny country's economic output is divided by its population the figures come out far too high. Other tiny countries with favorable banking laws such as Bermuda, the Cayman Islands, the Channel Islands, and Lichtenstein may have similar distortions in their figures. Tiny tax havens such as Monaco and San Marino are in the same category. Rich people don't live in Monaco, their money lives there.

There is also the issue of terminology. Originally experts talked about per capita Gross National Product or GNP. This term has stuck in the public's mind. Then the experts decided that Gross Domestic Product was more accurate. GDP is calculated slightly differently and produces slightly diferrent figures. Now the fashion is Gross National Income, or GNI. The experts have decided that this is best and it also is calculated slightly differently and produces slightly different figures. The figures on this page are per capita GNI figures because that is how things are done now. I don't want my readers to be out of fashion.

How accurate are these figures? There are many reasons to criticize these figures, but when it is all said and done I would rather have the income of the average Luxembourgian than the income of the average Ethiopian.




Table 1: National Average Per Capita Income using PPP method

Rank Country Per Capita Income in US$
1 Luxembourg 54,430
2 Bermuda N/A 36,000
3 United States 37,500
4 Norway 37,300
5 Liechtenstein N/A 25,000
6 Channel Islands N/A
7 Switzerland 32,030
8 Denmark 31,210
9 Ireland 30,450
10 Iceland 30,140
11 Canada 29,740
12 Austria 29,610
13 San Marino N/A 34,600
14 Cayman Islands N/A 35,000
15 Belgium 28,930
16 Hong Kong 28,810
17 Japan 28,620
18 Netherlands 28,600
19 Monaco N/A 27,000
20 Australia 28,290
21 United Kingdom 27,650
22 France 27,460
22 Germany 27,460
24 Finland 27,100
25 Italy 26,760
26 Sweden 26,620
30 Singapore 24,180
33 Macao 21,920
35 Spain 22,020
36 United Arab Emirates 21,040
38 New Zealand 21,120
41 Greece 19,920
42 Cyprus 19,530
43 Slovenia 19,240
45 Israel 19,200
46 Malta 17,870
47 Kuwait 17,870
49 Portugal 17,980
50 SKorea 17,930
52 Bahrain 16,170
53 Puerto Rico 16,320
54 Bahamas 16,140
55 Seychelles 15,960
56 Czech Republic 15,650
57 Barbados 15,060
58 Hungary 13,780
60 Oman 13,000
61 Slovak Republic 13,420
62 Saudi Arabia 12,850
63 Estonia 12,480
67 Poland 11,450
68 Mauritius 11,260
69 Lithuania 11,090
70 St. Kitts and Nevis 11,040
71 Argentina 10,920
73 Croatia 10,710
74 South Africa 10,270
75 Latvia 10,130
76 Chile 9,810
77 Antigua and Barbuda 9,590
78 Trinidad and Tobago 9,450
79 Costa Rica 9,040
80 Mexico 8,950
81 Malaysia 8,940
82 Russian Federation 8,920
83 Uruguay 7,980
84 Botswana 7,960
85 Bulgaria 7,610
86 Brazil 7,480
87 Thailand 7,450
88 Iran, Islamic Rep. 7,190
89 Romania 7,140
90 Tonga 6,890
91 Tunisia 6,840
92 Macedonia, FYR 6,720
93 Grenada 6,710
94 Turkey 6,690
95 Namibia 6,620
96 St. Vincent and the Grenadines 6,590
97 Colombia 6,520
98 Bosnia and Herzegovina 6,320
99 Panama 6,310
100 Dominican Republic 6,210
101 Kazakhstan 6,170
102 Belize 5,840
103 Belarus 6,010
105 Algeria 5,940
106 Turkmenistan 5,840
108 Gabon 5,700
108 Samoa 5,700
111 Cape Verde 5,440
112 Fiji 5,410
112 Ukraine 5,410
114 St. Lucia 5,220
115 Dominica 5,090
115 Peru 5,090
118 China 4,990
121 El Salvador 4,890
122 Swaziland 4,850
123 Lebanon 4,840
124 Paraguay 4,740
124 Venezuela, RB 4,740
126 Albania 4,700
127 Philippines 4,640
128 Jordan 4,290
129 Guatemala 4,060
130 Guyana 3,950
130 Morocco 3,950
132 Egypt, Arab Rep. 3,940
133 Jamaica 3,790
134 Armenia 3,770
135 Sri Lanka 3,730
136 Ecuador 3,440
137 Syrian Arab Republic 3,430
138 Azerbaijan 3,380
141 Indonesia 3,210
142 Lesotho 3,120
143 India 2,880
143 Vanuatu 2,880
146 Honduras 2,580
147 Georgia 2,540
149 Vietnam 2,490
150 Bolivia 2,450
152 Nicaragua 2,400
154 Zimbabwe 2,180
155 Papua New Guinea 2,240
156 Djibouti 2,200
157 Ghana 2,190
158 Guinea 2,100
159 Cambodia 2,060
159 Pakistan 2,060
161 Mauritania 2,010
162 Cameroon 1,980
163 Angola 1,890
164 Sudan 1,880
165 Bangladesh 1,870
166 Gambia, The 1,820
167 Mongolia 1,800
168 Comoros 1,760
169 Moldova 1,750
170 Lao PDR 1,730
171 Uzbekistan 1,720
173 Kyrgyz Republic 1,660
173 Senegal 1,660
175 Haiti 1,630
175 Solomon Islands 1,630
177 Togo 1,500
178 Uganda 1,440
179 Nepal 1,420
180 Côte d'Ivoire 1,390
182 Rwanda 1,290
183 Burkina Faso 1,180
184 Benin 1,110
184 Eritrea 1,110
186 Chad 1,100
187 Central African Republic 1,080
188 Mozambique 1,070
189 Tajikistan 1,040
190 Kenya 1,020
192 Mali 960
193 Nigeria 900
194 Zambia 850
195 Niger 820
195 Yemen, Rep. 820
199 Madagascar 800
201 Congo, Rep. 710
201 Ethiopia 710
203 Guinea-Bissau 660
204 Congo, Dem. Rep. 640
205 Burundi 620
206 Tanzania 610
207 Malawi 600
208 Sierra Leone 530

Table 2: Regional Average Per Capita Incomes using PPP method

Region Per Capita Income in US$
World 8,200
Low income 2,190
Middle income 6,000
Lower middle income 5,510
Upper middle income 9,900
Low & middle income 4,320
East Asia & Pacific 4,680
Europe & Central Asia 7,570
Latin America & Caribbean 7,080
Middle East & North Africa 5,700
South Asia 2,660
Sub-Saharan Africa 1,770
High income 29,480
European Monetary Union 26,260

Table 3: National Average Per Capita Income using Atlas method

Ranking Country Per Capita Income in US$
1 Bermuda N/A
2 Luxembourg 43,940
3 Norway 43,350
4 Switzerland 39,880
5 United States 37,610
6 Liechtenstein N/A
7 Japan 34,510
8 Denmark 33,750
9 Channel Islands N/A
10 Iceland 30,810
11 Sweden 28,840
12 United Kingdom 28,350
13 Finland 27,020
14 Ireland 26,960
15 San Marino N/A
16 Austria 26,720
17 Cayman Islands N/A
18 Netherlands 26,310
19 Belgium 25,820
20 Monaco N/A
21 Hong Kong 25,430
22 Germany 25,250
23 France 24,770
24 Canada 23,930
27 Australia 21,650
28 Italy 21,560
29 Singapore 21,230
35 Spain 16,990
37 Kuwait 16,340
38 Israel 16,020
40 New Zealand 15,870
41 Bahamas 14,920
43 Macao 14,600
45 Greece 13,720
47 Cyprus 12,320
49 Portugal 12,130
50 SKorea 12,030
51 Slovenia 11,830
52 Puerto Rico 10,950
53 Bahrain 10,840
54 Malta 9,260
55 Barbados 9,270
56 Antigua and Barbuda 9,160
57 Saudi Arabia 8,530
59 Oman 7,830
61 Palau 7,500
62 Seychelles 7,480
63 Trinidad and Tobago 7,260
65 St. Kitts and Nevis 6,880
66 Czech Republic 6,740
67 Hungary 6,330
68 Mexico 6,230
70 Croatia 5,350
71 Poland 5,270
72 Estonia 4,960
73 Slovak Republic 4,920
74 Lithuania 4,490
75 Chile 4,390
76 Costa Rica 4,280
77 Panama 4,250
78 Mauritius 4,090
79 Latvia 4,070
80 St. Lucia 4,050
81 Lebanon 4,040
82 Uruguay 3,820
83 Grenada 3,790
84 Malaysia 3,780
85 Argentina 3,650
86 Gabon 3,580
87 Venezuela, RB 3,490
88 Botswana 3,430
89 Dominica 3,360
90 Belize 3,190
90 St. Vincent and the Grenadines 3,300
92 Turkey 2,790
93 South Africa 2,780
94 Jamaica 2,760
95 Brazil 2,710
95 Marshall Islands 2,710
97 Russian Federation 2,610
99 Fiji 2,360
100 Romania 2,310
101 Maldives 2,300
102 Tunisia 2,240
103 El Salvador 2,200
104 Thailand 2,190
105 Peru 2,150
106 Bulgaria 2,130
107 Micronesia, Fed. Sts. 2,090
108 Dominican Republic 2,070
109 Suriname 1,940
110 Iran, Islamic Rep. 2,000
111 Macedonia, FYR 1,980
112 Guatemala 1,910
112 Serbia and Montenegro 1,910
114 Algeria 1,890
115 Namibia 1,870
116 Jordan 1,850
117 Colombia 1,810
118 Ecuador 1,790
119 Kazakhstan 1,780
120 Albania 1,740
121 Samoa 1,600
122 Belarus 1,590
123 Bosnia and Herzegovina 1,540
124 Cape Verde 1,490
124 Tonga 1,490
126 Egypt, Arab Rep. 1,390
127 Swaziland 1,350
128 Morocco 1,320
129 Vanuatu 1,180
130 Syrian Arab Republic 1,160
131 Turkmenistan 1,120
132 West Bank and Gaza 1,110
133 China 1,100
133 Paraguay 1,100
135 Philippines 1,080
137 Honduras 970
137 Ukraine 970
139 Armenia 950
140 Sri Lanka 930
141 Djibouti 910
142 Guyana 900
143 Bolivia 890
144 Kiribati 880
145 Georgia 830
146 Azerbaijan 810
146 Indonesia 810
148 Equatorial Guinea 930
149 Angola 740
150 Nicaragua 730
152 Bhutan 660
152 Côte d'Ivoire 660
154 Cameroon 640
154 Congo, Rep. 640
156 Solomon Islands 600
157 Lesotho 590
157 Moldova 590
159 Senegal 550
160 India 530
161 Yemen, Rep. 520
162 Papua New Guinea 510
163 Zimbabwe 480
164 Mongolia 480
164 Vietnam 480
166 Pakistan 470
167 Sudan 460
168 Comoros 450
169 Benin 440
170 Guinea 430
170 Mauritania 430
170 Timor-Leste 430
173 Uzbekistan 420
174 Bangladesh 400
175 Kenya 390
176 Haiti 380
176 Zambia 380
178 Kyrgyz Republic 330
179 Ghana 320
179 Lao PDR 320
179 Nigeria 320
179 São Tomé and Principe 320
183 Cambodia 310
183 Gambia, The 310
183 Togo 310
186 Burkina Faso 300
187 Madagascar 290
187 Mali 290
187 Tanzania 290
190 Central African Republic 260
191 Chad 250
192 Nepal 240
192 Uganda 240
194 Rwanda 220
195 Mozambique 210
196 Niger 200
197 Eritrea 190
197 Tajikistan 190
200 Malawi 170
201 Sierra Leone 150
202 Guinea-Bissau 140
205 Liberia 130
206 Burundi 100
206 Congo, Dem. Rep. 100
208 Ethiopia 90

Table 4: Regional Average Per Capita Incomes using Atlas method

Region Per Capita Income in US$
World 5,500
Low income 450
Middle income 1,920
Lower middle income 1,480
Upper middle income 5,340
Low & middle income 1,280
East Asia & Pacific 1,080
Europe & Central Asia 2,570
Latin America & Caribbean 3,260
Middle East & North Africa 2,250
South Asia 510
Sub-Saharan Africa 490
High income 28,550
European Monetary Union 22,850


- download all figures as text file -

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