World Economic Outlook according to the IMF until 2015 => Data 2010

Created 2011-02-03 10:38:48
Updated 2011-10-13 20:06:10

Gross domestic product per capita, current prices 2015

Accoding to these data of IMF (International Monetary Fund) 2010, in the immediate near future until 2015, the production of a Chinese occupies only the 81st world position over 180. An American at the 9th rank will produce almost 8 times compared to his poor cousin in China. The reversal of the order of the wealth of nations in the world is not for tomorrow.
#Country/Territoty198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015
31Greece5562.665088.485273.534742.374597.464543.25325.166174.097163.5373879073.379701.5610581.029802.0510383.3112077.8412676.5812311.8912323.3812639.0311661.8811950.4413446.417692.5720922.0821997.3223835.3627930.431601.6629634.9227264.8326025.826254.7526839.6627528.0228425.47
32Korea, South1688.841869.651971.312153.882349.782413.942759.73444.794570.735565.16307.667288.847729.988422.059757.4911778.7612586.611582.117723.849906.511346.6610654.8212093.7313451.115028.8217550.8819706.5921653.2719161.9517074.3320164.8521529.2522855.1824245.925831.9727606.33
33Brunei00000000000015661.9115011.8114571.1916477.9117369.9717224.5313085.4514514.1318476.8516829.9917146.0318799.8722001.6125753.3229948.8431404.1336223.352538628340.0428966.5829077.6628825.228526.6126831.99
34Taiwan0000000007520.988086.468973.4910572.6211028.9111932.1712865.4513376.4313739.7912546.0113534.6614641.4113107.6813369.7713737.8714985.7916022.9416450.6717122.7717480.1316372.3118303.619348.3720692.6422267.324046.2425992.36
35Bahrain8852.769610.179749.449659.059698.828846.476686.146993.318342.938642.889433.369229.929134.189628.049937.0610083.0710166.6910242.049660.2710025.8811889.9811719.4212127.4413725.6715601.1618322.6721156.8524171.1528096.9619817.3119641.1921604.7722683.1923734.9224713.2225857.39
36Bahamas, The7690.767818.78602.859361.259779.5210512.1811171.0712094.4512318.1713651.5812801.7112511.6612048.1911696.7412211.1912505.8612989.0414738.616073.8417381.0118105.3118138.5218220.3218669.5118766.2820181.1921292.6322169.3721699.4721650.6721878.5722265.1222896.5123668.8624465.3125288.55
37Oman5284.95938.016231.16064.816238.376930.135143.275075.54933.075206.767169.116444.076623.66130.166255.916596.267204.677369.826395.616556.138096.837939.568070.488529.129600.7311805.5813784.2515372.0321648.7415996.3518040.5419135.1520262.1421053.9321723.4222653.26
38Saudi Arabia17628.6618793.3114885.511942.4410528.898732.756960.556532.886407.386592.097689.198235.578042.297648.997588.637855.138489.588667.047483.878065.439216.398736.418785.139758.0211126.5213657.9515049.6315858.7519156.8614744.6116641.4117840.3819074.2220242.7121361.522617.83
39Portugal3282.63253.093052.832797.012558.582673.823713.274644.55438.565873.957816.338868.7110671.019381.239814.3811603.3512049.0111483.2312139.9712442.6411511.2811712.9712813.2915539.2917665.2318188.1919040.1821820.4423830.0521969.7621030.6120834.421036.721414.6121886.8122425.95
40Malta0000000000000009720.139852.949687.2710096.1810305.7510104.39800.810707.3812545.0513984.7714778.915916.5918483.9220481.519238.3118586.2318796.9719338.5719987.320748.3121550.95
41Slovakia00000000000002527.322899.773648.183932.013969.534147.23798.253788.13922.774558.676192.867839.018896.2210375.1913935.0917598.5316281.9315906.3816401.717387.7318392.5319457.0320572.17
42Russia000000000000575.2161236.981864.662116.482641.772749.131852.621345.511793.522095.582376.92967.514099.75321.986932.39139.9611739.118681.4110521.7911996.1713391.1514890.5716448.518110.77
43Barbados3555.953913.74089.184341.114731.954952.235437.185987.476368.447048.197068.956971.146529.346797.096592.997077.157548.738250.68884.69266.249508.739463.419143.639922.3910386.6913478.2414177.7414698.0314486.214105.3414307.6714950.3115545.616283.3517056.1217952.29
44Estonia00000000000001144.631637.682607.1533163592.784015.814141.64139.674565.185380.737260.348905.0610317.7712499.616160.2417651.1914402.4614416.5214948.1315607.5216327.6517092.8617874.05
45Libya12795.5310567.4110061.39201.098258.968168.816406.475710.165690.715774.887063.17643.997583.176686.196102.956792.267268.87296.045866.716907.057204.426296.493970.974695.846035.847521.289459.7411759.4814313.649511.412062.3712951.514004.6815203.7916370.517660.54
46Croatia0000000000002555.922771.423789.444967.45202.565167.45607.475061.294870.095154.345957.847626.079170.999999.9111053.2113209.7215629.3715283.7313527.6613871.8714571.1615380.0316237.817144.91
47Uruguay3845.694262.873462.521888.51784.391732.562138.912661.122736.982868.563319.183976.874542.975260.676070.226661.877038.557361.37754.317292.576914.376316.964049.753652.744161.475287.345976.927206.239351.299420.4712129.7212823.9813633.5814501.4315438.1716455.56
48Hungary2121.632176.512218.782018.011962.31994.92306.362547.022799.192869.343266.353303.763681.663817.424111.214430.164514.344580.144741.954791.444626.825231.786562.398270.3310142.6110910.8511205.3513746.1615477.512914.0113210.413434.314124.5914845.3515608.2416411
49Chile2492.862884.782118.391694.31621.821368.471447.211678.641945.732203.772409.142734.643283.033463.353941.215020.865254.95663.025354.814860.154943.714451.1243144698.25981.587285.828940.639901.1110200.769515.9311587.0912804.9913878.9414561.7215354.9516192.16
50Kazakhstan000000000000168.657304.872737.2961058.591349.641456.991445.61137.931229.361490.431654.652063.272862.53785.565260.996638.58715.876930.288326.459464.5410873.4812431.4314145.7216159.84
Source: International Monetary Fund 2010 (IMF).

Table | Charts | Flash Charts
| BCA | BCA_NGDPD | FLIBOR6 | GGR | GGR_NGDP | GGSB | GGSB_NPGDP | GGX | GGX_NGDP | GGXCNL | GGXCNL_NGDP | GGXONLB | GGXONLB_NGDP | GGXWDG | GGXWDG_NGDP | GGXWDN | GGXWDN_NGDP | Employment | Population | Unemployment rate | NGAP_NPGDP | NGDP | NGDP_D | NGDP_FY | NGDP_R | NGDP_RPCH | NGDPD | NGDPDPC | NGDPPC | NGDPRPC | NGSD_NGDP | NID_NGDP | PCPI | PCPIE | PCPIEPCH | PCPIPCH | PPPEX | PPPGDP | PPPPC | PPPSH | Growth Rate | Chinese
GDP is expressed in current U.S. dollars per person. Data are derived by first converting GDP in national currency to U.S. dollars and then dividing it by total population. Units U.S. dollars.

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