Utent:Insübrich/Sabiun
La partisela Tau (o tauun) l'è una partisela elementara cun carica negativa e una masa de 1,777 MeV. A lee l'è asuciada un'antipartisela e un neütrin. El tauun l'è clasificaa intra i leptun, l'è una partisela de tersa generasiun e la decad a la svelta per vegnì una partisela stabil. Per la cunservasiun del nümer leptonich, un neütrin tauonich el vegn creaa quand un tauun el decad per vegnì un leptun püsee leger (muun o eletrun). Anca se'l gh'ha una masa püsee granda e l'è minga stabil, el tauun l'è cumpagn al'eletrun.
Quel articul chì l'è scrivüü in Lumbard, cun l'urtugrafia insübrica ünificada. |
La spetruscupia XAS (X-Ray Absorption Spectroscopy) la stüdia cume'l va el cueficient de surbiment d'una sustansa in funsiun del energia de la radiasiun X, prima de la söja de surbiment futueletric fina a 1000 eV dopu la söja.
Vist che gh'emm de cambia l'energia de la radiasiun e che el signal che'l vegn föra del campiun l'è de solet 1/1000 del segnal tutal, se dupra una surgent de ragg X cun brilansa granda per una larga banda d'energia: una lüs de sincrutrun. Quest l'è propi un prublema perchè se poden fa i speriment dumà in dii laboratori dii sincrutrun.
Quel articul chì l'è scrivüü in Lumbard, cun l'urtugrafia insübrica ünificada. |
El bidofun (in ingles washtub bass), ciamaa anca liron o tulòn, l'è un istrüment müsegal de la fameja dij curdofun piśigaa. El strument l'è cumpagn cume timber del viuluncell e del viurun.
El pö vess grant anca püśee de düü meter e'l pö vess sunaa 'me vus percüśiva e 'me vus melodica.
Per fà sü un bidofun ghe vören:
- un bidun de legn, de plastica o metall;
- un manich de la scua, de legn dür, lungh preśapocch düü meter;
- una corda cunt un diameter max de 0,5 cm;
- düü bülun cun la ranèla
- una vid cun l'ugiö.
La costruzione è relativamente semplice, basta forare il fondo del bidone nel centro, bloccare i due bulloni uno da una parte ed uno dall'altra del fondo con le rondelle inserite in modo che il bidone non si rovini, fissare la corda all'occhiello da una parte e dall'altra al capo del manico di scopa. Si incide poi una tacca nel manico della scopa in modo che sia semplice appoggiarla al bordo del bidone. Ora si pone il problema di fare uscire le onde sonore dallo strumento. Tra le soluzioni migliori del legno sagomato in maniera da tenere il bidone lievemente inclinato e discosto da terra.
Quel articul chì l'è scrivüü in Lumbard, cun l'urtugrafia insübrica ünificada. |
El premi Nobel l'è un premi per i gent che hann faa ricerch, invensiun e istrüment rivulünar, e che hann daa cuntribüü impurtant a la sucietà. A l'è cunsiderà el premi püsee impurtant in del munt d'incö.
El premi el fa part dij ültim vuluntà del Alfred Nobel, un indüstrial svedes e l'inventur de la dinamitt.
This article includes three lists of countries of the world sorted by their gross domestic product per capita at nominal values, the value of all final goods and services produced within a nation in a given year, converted at market exchange rates to current U.S. dollars, divided by the average (or mid-year) population for the same year.
The figures presented here do not take into account differences in the cost of living in different countries, and the results can vary greatly from one year to another based on fluctuations in the exchange rates of the country's currency. Such fluctuations may change a country's ranking from one year to the next, even though they often make little or no difference to the standard of living of its population. Therefore these figures should be used with caution.
Comparisons of national wealth are also frequently made on the basis of purchasing power parity (PPP), to adjust for differences in the cost of living in different countries. (See List of countries by GDP (PPP) per capita.) PPP largely removes the exchange rate problem, but has its own drawbacks. It does not reflect the value of economic output in international trade, and it also requires more estimation than GDP per capita. On the whole PPP per capita figures are more narrowly spread than GDP per capita figures.
Great care should be taken when using either set of figures to compare the wealth of two countries. Often people who wish to promote or denigrate a country will use the figure that suits their case best and ignore the other one, which may be substantially different, but a valid comparison of two economies should take both rankings into account, as well as utilising other economic data to put an economy in context.
Several economies which are not considered to be countries (world, EU, and some dependent territories) are included in the list because they appear in the sources. These economies are not ranked in the charts here, but are listed in sequence by GDP for comparison.
- The "IMF" column includes estimated data for the year 2007 for members of the International Monetary Fund (plus the Hong Kong Special Administrative Region), for which information is available.
- The "WB" column includes data for the year 2007 from the World Bank.
- The "CIA" column includes estimated data for the year 2007 from The World Factbook, provided by the Central Intelligence Agency, as of June 19 2008.
All data are in United States dollars. Non-sovereign entities or other special groupings are marked in italics.
Note: To sort the table in descending order, click twice on the square above the column you wish to sort by.
Country | Rank | IMF[1] | Rank | WB[2] | Rank | CIA[3] |
---|---|---|---|---|---|---|
Afghanistan | 168 | 323 | — | — | 174 | 277 |
Albania | 96 | 3,354 | 87 | 3,323 | 102 | 2,950 |
Algeria | 87 | 3,825 | 75 | 3,996 | 89 | 3,945 |
Modell:Country data Angola | 88 | 3,757 | 84 | 3,440 | 79 | 5,003 |
Modell:Country data Antigua and Barbuda | 45 | 13,092 | 36 | 12,071 | 47 | 13,054 |
Argentina | 66 | 6,606 | 56 | 6,641 | 68 | 6,492 |
Armenia | 108 | 2,297 | 90 | 3,058 | 105 | 2,683 |
Australia | 15 | 43,312 | 17 | 39,098 | 16 | 43,798 |
Austria | 13 | 45,181 | 11 | 45,343 | 14 | 45,599 |
Modell:Country data Azerbaijan | 91 | 3,663 | 83 | 3,646 | 92 | 3,857 |
Modell:Country data Bahrain | 29 | 25,731 | — | — | 29 | 27,746 |
Modell:Country data Bangladesh | 157 | 455 | 151 | 427 | 160 | 481 |
Modell:Country data Barbados | 44 | 13,605 | — | — | 46 | 13,309 |
Belarus | 78 | 4,641 | 69 | 4,615 | 81 | 4,604 |
Belgium | 17 | 42,557 | 13 | 42,213 | 17 | 43,648 |
Modell:Country data Belize | 84 | 4,098 | 72 | 4,191 | 84 | 4,324 |
Modell:Country data Benin | 145 | 692 | 145 | 601 | 149 | 656 |
Modell:Country data Bhutan | 112 | 2,012 | 112 | 1,668 | 116 | 1,943 |
Modell:Country data Bolivia | 123 | 1,342 | 117 | 1,378 | 125 | 1,446 |
Modell:Country data Bosnia and Herzegovina | 90 | 3,712 | 80 | 3,733 | 99 | 3,247 |
Modell:Country data Botswana | 59 | 7,888 | 57 | 6,263 | 64 | 6,780 |
Brazil | 64 | 6,938 | 53 | 6,859 | 65 | 6,776 |
Modell:Country data Brunei | 24 | 32,167 | — | — | 26 | 33,077 |
Bulgaria | 77 | 5,186 | 65 | 5,175 | 75 | 5,409 |
Burkina Faso | 155 | 508 | 150 | 458 | 161 | 472 |
Modell:Country data Burundi | 178 | 128 | 170 | 115 | 184 | 119 |
Modell:Country data Cambodia | 152 | 600 | 146 | 597 | 156 | 615 |
Modell:Country data Cameroon | 128 | 1,095 | 121 | 1,114 | 131 | 1,143 |
Canada | 14 | 43,485 | 15 | 40,222 | 18 | 43,478 |
Modell:Country data Cape Verde | 100 | 2,891 | 94 | 2,706 | 98 | 3,365 |
Modell:Country data Central African Republic | 162 | 402 | 153 | 394 | 165 | 392 |
Modell:Country data Chad | 142 | 747 | 142 | 658 | 147 | 718 |
Chile | 51 | 9,879 | 42 | 9,877 | 53 | 10,047 |
Colombia | 93 | 3,611 | 81 | 3,729 | 91 | 3,867 |
Modell:Country data Comoros | 146 | 691 | 139 | 717 | 153 | 621 |
Costa Rica | 69 | 5,905 | 63 | 5,653 | 69 | 6,342 |
Modell:Country data Côte d'Ivoire | 129 | 1,045 | 123 | 1,016 | 134 | 993 |
Croatia | 48 | 11,576 | 38 | 11,554 | 50 | 11,430 |
Cuba | — | — | — | — | 88 | 3,958 |
Modell:Country data Cyprus | 28 | 27,327 | 24 | 27,036 | 30 | 27,015 |
Czech Republic | 36 | 17,070 | 30 | 16,271 | 39 | 17,138 |
Modell:Country data Democratic Republic of the Congo | 177 | 166 | 169 | 144 | 182 | 157 |
Denmark | 7 | 57,261 | 5 | 56,427 | 7 | 57,040 |
Modell:Country data Djibouti | 127 | 1,099 | 126 | 996 | 120 | 1,694 |
Modell:Country data Dominica | 80 | 4,333 | 71 | 4,493 | 85 | 4,297 |
Modell:Country data Dominican Republic | 83 | 4,147 | 79 | 3,762 | 90 | 3,886 |
Ecuador | 97 | 3,218 | 88 | 3,312 | 100 | 3,212 |
Egypt | 117 | 1,739 | 111 | 1,697 | 123 | 1,592 |
Modell:Country data El Salvador | 101 | 2,857 | 92 | 2,950 | 103 | 2,932 |
Modell:Country data Equatorial Guinea[4] | 55 | 8,702 | 29 | 19,533 | 38 | 17,490 |
Modell:Country data Eritrea | 171 | 281 | 165 | 248 | 178 | 246 |
Estonia | 39 | 15,851 | 31 | 15,856 | 41 | 16,171 |
Eswatini | 104 | 2,523 | 97 | 2,569 | 108 | 2,591 |
Modell:Country data Ethiopia | 173 | 252 | 166 | 245 | 179 | 243 |
Modell:Country data Fiji | 85 | 3,921 | 73 | 4,097 | 76 | 5,408 |
Finland | 9 | 46,602 | 8 | 46,515 | 10 | 46,769 |
France | 18 | 41,511 | 14 | 41,523 | 20 | 42,053 |
Gabon | 60 | 7,887 | 50 | 8,011 | 60 | 7,759 |
Georgia | 107 | 2,355 | 103 | 2,315 | 110 | 2,215 |
Germany | 19 | 40,415 | 16 | 40,079 | 21 | 40,315 |
Modell:Country data Ghana | 148 | 676 | 143 | 650 | 150 | 648 |
Greece | 27 | 28,273 | 21 | 32,166 | 28 | 29,385 |
Modell:Country data Grenada | 73 | 5,571 | 66 | 5,130 | 67 | 6,555 |
Modell:Country data Guatemala | 103 | 2,532 | 98 | 2,505 | 106 | 2,647 |
Guinea-Bissau | 175 | 206 | 167 | 211 | 180 | 233 |
Modell:Country data Guinea | 156 | 473 | 149 | 487 | 159 | 493 |
Modell:Country data Guyana | 122 | 1,365 | 116 | 1,413 | 127 | 1,351 |
Modell:Country data Haiti | 151 | 630 | 144 | 638 | 152 | 624 |
Modell:Country data Honduras | 118 | 1,635 | 110 | 1,732 | 121 | 1,641 |
Modell:Country data Hong Kong | — | 29,650 | — | 29,845 | — | 29,611 |
Hungary | 43 | 13,762 | 35 | 13,741 | 42 | 13,901 |
Modell:Country data Iceland | 4 | 63,830 | 3 | 62,733 | 5 | 66,240 |
India | 131 | 978 | 122 | 1,042 | 137 | 973 |
Modell:Country data Indonesia | 115 | 1,925 | 108 | 1,918 | 119 | 1,845 |
Modell:Country data Iran | 82 | 4,149 | 78 | 3,815 | 82 | 4,497 |
Modell:Country data Iraq | — | — | — | — | 113 | 2,016 |
Ireland | 5 | 59,924 | 4 | 58,399 | 6 | 62,934 |
Israel | 31 | 22,475 | 25 | 22,563 | 31 | 23,161 |
Italy | 20 | 35,872 | 18 | 35,494 | 22 | 36,201 |
Modell:Country data Jamaica | 81 | 4,172 | 74 | 4,012 | 87 | 4,029 |
Japan | 22 | 34,312 | 20 | 34,254 | 25 | 34,402 |
Modell:Country data Jordan | 102 | 2,795 | 93 | 2,768 | 107 | 2,645 |
Modell:Country data Kazakhstan | 65 | 6,868 | 55 | 6,708 | 63 | 6,791 |
Kenya | 139 | 845 | 137 | 786 | 144 | 794 |
Modell:Country data Kiribati | 147 | 686 | 132 | 853 | 154 | 621 |
Modell:Country data Kuwait | 23 | 33,634 | — | — | 15 | 44,421 |
Modell:Country data Kyrgyzstan | 143 | 713 | 141 | 669 | 148 | 709 |
Modell:Country data Laos | 150 | 656 | 140 | 684 | 155 | 618 |
Latvia | 46 | 11,985 | 37 | 11,931 | 49 | 12,098 |
Modell:Country data Lebanon | 67 | 6,569 | 60 | 5,858 | 70 | 6,277 |
Modell:Country data Lesotho | 149 | 665 | 136 | 798 | 145 | 753 |
Modell:Country data Liberia | 176 | 195 | 168 | 193 | 181 | 228 |
Modell:Country data Libya | 53 | 9,372 | 43 | 9,476 | 54 | 9,452 |
Modell:Country data Liechtenstein | — | — | — | — | 1 | 106,082[5] |
Lithuania | 49 | 11,354 | 39 | 11,353 | 52 | 10,726 |
Luxembourg | 1 | 104,673 | 1 | 99,879 | 2 | 104,452 |
Madagascar | 159 | 431 | 156 | 372 | 167 | 376 |
Modell:Country data Malawi | 172 | 264 | 164 | 255 | 177 | 260 |
Modell:Country data Malaysia | 63 | 6,948 | 54 | 6,807 | 61 | 7,509 |
Modell:Country data Maldives | 99 | 3,040 | 85 | 3,439 | 104 | 2,874 |
Modell:Country data Mali | 154 | 517 | 147 | 556 | 157 | 562 |
Malta | 35 | 18,088 | — | — | 37 | 18,461 |
Modell:Country data Marshall Islands | — | — | 100 | 2,433 | — | — |
Modell:Country data Mauritania | 134 | 931 | 133 | 847 | 141 | 843 |
Mauritius | 74 | 5,520 | 67 | 5,038 | 74 | 5,506 |
Mexico | 58 | 8,479 | 47 | 8,486 | 59 | 8,219 |
Modell:Country data Micronesia | — | — | 102 | 2,315 | — | — |
Moldova | 124 | 1,248 | 119 | 1,159 | 135 | 976 |
Modell:Country data Mongolia | 121 | 1,486 | 115 | 1,491 | 128 | 1,323 |
Montenegro | — | — | 58 | 5,928 | 83 | 4,343 |
Morocco | 106 | 2,389 | 101 | 2,374 | 111 | 2,171 |
Mozambique | 165 | 369 | 159 | 363 | 169 | 362 |
Modell:Country data Myanmar | 174 | 235 | — | — | 173 | 286 |
Namibia | 94 | 3,584 | 89 | 3,250 | 96 | 3,577 |
Modell:Country data Nepal | 163 | 400 | 158 | 363 | 171 | 333 |
Netherlands | 10 | 46,261 | 9 | 46,041 | 11 | 46,389 |
Modell:Country data New Zealand | 26 | 30,256 | 23 | 30,599 | 27 | 30,999 |
Modell:Country data Nicaragua | 133 | 945 | 124 | 1,013 | 133 | 1,008 |
Modell:Country data Niger | 169 | 313 | 162 | 294 | 172 | 324 |
Nigeria | 126 | 1,159 | 120 | 1,120 | 130 | 1,164 |
Norway | 2 | 83,922 | 2 | 81,111 | 3 | 84,595 |
Modell:Country data Oman | 40 | 15,584 | — | — | 48 | 12,492 |
Pakistan | 137 | 909 | 131 | 884 | 140 | 849 |
Modell:Country data Palau | — | — | 49 | 8,200 | — | — |
Panama | 70 | 5,904 | 59 | 5,908 | 71 | 6,058 |
Modell:Country data Papua New Guinea | 130 | 991 | 127 | 990 | 132 | 1,034 |
Paraguay | 116 | 1,802 | 107 | 1,961 | 122 | 1,630 |
Modell:Country data People's Republic of China | 105 | 2,461 | 99 | 2,485 | 109 | 2,459 |
Peru | 86 | 3,886 | 76 | 3,910 | 93 | 3,787 |
Philippines | 119 | 1,625 | 113 | 1,640 | 124 | 1,530 |
Poland | 47 | 11,693 | 40 | 11,043 | 51 | 10,912 |
Portugal | 32 | 21,019 | 27 | 20,762 | 34 | 20,981 |
Modell:Country data Qatar | 3 | 72,849 | — | — | 4 | 83,152 |
Modell:Country data Republic of China (Taiwan) | 37 | 16,606 | — | — | 40 | 16,768 |
Modell:Country data Republic of Macedonia | 92 | 3,659 | 82 | 3,726 | 95 | 3,647 |
Modell:Country data Republic of the Congo | 109 | 2,159 | 105 | 2,030 | 114 | 2,015 |
Romania | 61 | 7,697 | 51 | 7,703 | 62 | 7,452 |
Russia | 54 | 9,075 | 44 | 9,115 | 56 | 9,096 |
Modell:Country data Rwanda | 167 | 353 | 161 | 341 | 170 | 335 |
Modell:Country data Saint Kitts and Nevis | 50 | 10,143 | 41 | 10,755 | 45 | 13,323 |
Modell:Country data Saint Lucia | 71 | 5,689 | 62 | 5,702 | 72 | 6,030 |
Modell:Country data Saint Vincent and the Grenadines | 75 | 5,229 | 70 | 4,608 | 80 | 4,731 |
Modell:Country data Samoa | 111 | 2,101 | 96 | 2,578 | 118 | 1,853 |
Modell:Country data São Tomé and Príncipe | 138 | 881 | 129 | 918 | 146 | 721 |
Modell:Country data Saudi Arabia | 41 | 15,481 | 32 | 15,775 | 44 | 13,630 |
Senegal | 136 | 910 | 130 | 898 | 139 | 888 |
Serbia | 72 | 5,596 | 64 | 5,630 | 86 | 4,106 |
Modell:Country data Seychelles | 57 | 8,581 | 46 | 8,565 | 58 | 8,670 |
Modell:Country data Sierra Leone | 170 | 290 | 163 | 286 | 175 | 270 |
Modell:Country data Singapore | 21 | 35,163 | 19 | 35,160 | 24 | 35,427 |
Slovakia | 42 | 13,857 | 34 | 13,887 | 43 | 13,766 |
Slovenia | 30 | 22,933 | 26 | 22,523 | 32 | 22,934 |
Modell:Country data Solomon Islands | 144 | 704 | 138 | 745 | 151 | 631 |
Modell:Country data Somalia | — | — | — | — | 176 | 267 |
South Africa | 68 | 5,906 | 61 | 5,833 | 73 | 5,843 |
Modell:Country data South Korea | 34 | 19,751 | 28 | 19,983 | 35 | 19,836 |
Spain | 25 | 32,067 | 22 | 31,846 | 23 | 35,576 |
Sri Lanka | 120 | 1,506 | 114 | 1,622 | 126 | 1,434 |
Modell:Country data Sudan | 125 | 1,242 | 118 | 1,235 | 129 | 1,262 |
Modell:Country data Suriname | 79 | 4,577 | 68 | 4,893 | 78 | 5,106 |
Sweden | 8 | 49,655 | 7 | 48,584 | 9 | 50,415 |
Switzerland | 6 | 58,084 | 6 | 55,035 | 8 | 56,111 |
Modell:Country data Syria | 114 | 1,946 | 109 | 1,914 | 115 | 1,955 |
Modell:Country data Tajikistan | 153 | 578 | 148 | 551 | 158 | 525 |
Modell:Country data Tanzania | 160 | 415 | 152 | 400 | 164 | 411 |
Thailand | 89 | 3,737 | 77 | 3,851 | 94 | 3,776 |
Modell:Country data The Bahamas | 33 | 19,781 | — | — | 33 | 21,547 |
Modell:Country data The Gambia | 161 | 411 | 155 | 377 | 166 | 387 |
Modell:Country data Timor-Leste | 158 | 440 | 157 | 371 | 163 | 423 |
Modell:Country data Togo | 164 | 387 | 154 | 379 | 162 | 438 |
Modell:Country data Tonga | 110 | 2,138 | 104 | 2,287 | 117 | 1,873 |
Modell:Country data Trinidad and Tobago | 38 | 15,905 | 33 | 14,990 | 36 | 19,591 |
Tunisia | 95 | 3,398 | 86 | 3,417 | 97 | 3,405 |
Turkey | 52 | 9,629 | 45 | 8,893 | 55 | 9,323 |
Modell:Country data Turkmenistan | 76 | 5,189 | 95 | 2,606 | 77 | 5,280 |
Modell:Country data Uganda | 166 | 363 | 160 | 363 | 168 | 371 |
Ukraine | 98 | 3,046 | 91 | 3,029 | 101 | 3,035 |
Modell:Country data United Arab Emirates | 16 | 42,934 | — | — | 19 | 43,339 |
United Kingdom | 12 | 45,575 | 12 | 44,693 | 13 | 45,626 |
United States | 11 | 45,845 | 10 | 45,790 | 12 | 45,959 |
Uruguay | 62 | 7,172 | 52 | 6,956 | 66 | 6,632 |
Uzbekistan | 141 | 815 | 135 | 830 | 142 | 824 |
Vanuatu | 113 | 1,989 | 106 | 2,000 | 112 | 2,143 |
Modell:Country data Venezuela | 56 | 8,596 | 48 | 8,303 | 57 | 9,084 |
Vietnam | 140 | 818 | 134 | 836 | 143 | 821 |
Modell:Country data West Bank and Gaza | — | — | — | 1,036 | — | — |
Yemen | 132 | 972 | 125 | 1,006 | 136 | 974 |
Modell:Country data Zambia | 135 | 918 | 128 | 953 | 138 | 972 |
Modell:Country data Zimbabwe | 179 | 55 | — | — | 183 | 151 |
Modell:Country data World | — | — | — | 8,219 | — | 8,241 |
See also
ModifegaReferences
Modifega- ↑ Data refer to the year 2007. World Economic Outlook Database-April 2008, International Monetary Fund.
- ↑ Data refer to the year 2007. Total GDP 2007 & Population 2007, World Development Indicators database, World Bank, July 1 2008. Note: Per capita values were obtained by dividing the Total GDP data by the Population data.
- ↑ Data refer to the year 2007. GDP (official exchange rate), The World Factbook, Central Intelligence Agency. GDP data last updated on June 19 2008; Total Midyear Population-2007, U.S. Census Bureau, International Data Base, accessed on July 12 2008. Note: Per capita values were obtained by dividing the GDP (official exchange rate) data by the Population data.
- ↑ The IMF is using a 2007 population estimate based on a 2001 census whose validity has been called into question. A 2003 U.S State Department report on Equatorial Guinea stated that "although the 2002 (sic) census estimated the population at 1,015,000, credible estimates put the number at closer to 500,000. The opposition claimed that the Government inflated the census in anticipation of the December presidential election. (...) Opposition leaders charged earlier in the year that census results showing a twofold population increase were flawed and that numbers were inflated to perpetuate election fraud." [1]
- ↑ The value from the original source has been changed, due to the CIA World Factbook reporting a GDP for Liechtenstein of $36.33 billion, resulting in a GDP per capita of $1,060,823, which is not in line with data from either the US State Department nor the government of Liechtenstein. A Liechtenstein government website called Landesverwaltung Liechtenstein reports that the provisional GDP for 2005 was CHF4.5553 billion and the mid-year population for 2005 was 34,734, giving a GDP per capita of CHF131,148. Using the average exchange rate of the Swiss franc to the US dollar in 2005, as given by the CIA, this results in a GDP of US$3.658 billion and GDP per capita of US$105,323. The United States Department of State reports a Liechtenstein GDP for 2004 of CHF4.28 billion on its country profile article dated April 2008.
Modell:Lists of countries Modell:Global economic classifications