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

General government revenue 2015

#Country/Territoty20082009201020112012201320142015
1Indonesia1008712.49877240.241000291.441120811.881270415.381439924.931621918.771831730.06
2Iran859906.27829929.66965959.11109444.561199175.41271487.711337263.121394834.41
3Vietnam396500.29404698481209.35571303.01657255.36746432.12846019.75968970.67
4Korea, South250713255252273020.88293493.34317005.31342101.11365398.15392079.54
5Colombia126877.26134749.83130499.87142394.38154454.96167405.76181173.74195717.71
6Japan159193.4139964.17143802.72147966.7152415.14158392.61163085.13165786.33
7Iraq86978.2459905.1374781.5981857.1796071.14109867.08129426.3151470.69
8Belarus65663.3562749.263388.6274774.0785539.4495502.41106567.49118652.69
9Uzbekistan15357.3418009.6722690.7627158.831991.9637424.843828.7151097.88
10Chile24241.0419858.8725275.9128515.3330434.7132330.3934624.7937082.37
11Zambia12289.5412926.491517217390.5320356.4523094.3126628.0630443
12Paraguay15367.2916424.6418679.920550.5722289.9624300.5626499.5828883.72
13India10989.7311781.313862.8516693.8119626.3322565.8725233.0428110.52
14Russia16003.4513420.715556.9117998.3319968.8821970.3223838.3225859.22
15Lebanon1074112801.5214223.9415453.9616496.0417718.4518856.6820028.1
16Laos7374.938370.299670.4111641.0613562.6315046.7816502.6817942.58
17Nigeria8063.365003.198000.789399.7211071.1612925.9514783.7316793.97
18China6172.546817.27560.498735.0110128.1611590.1113256.415140.61
19Hungary12076.6911913.111979.8712249.2312695.3313376.4714118.8414926.92
20Cambodia6867.497007.397562.478678.259752.9110937.5812241.3613750.39
21Tanzania5632.556204.887566.758489.239628.2510771.8412042.313405.42
22Uganda3800.484772.75264.135851.936695.147617.038688.759977.78
23Guinea3351.793662.494335.545376.2822285.866966.257718.868561.95
24Kazakhstan4542.243765.854539.695096.275738.556439.387053.177852.76
25Congo, Democratic1355.942206.283770.274278.054865.525521.166369.837376.21
26Costa Rica3675.493739.434204.134736.625397.76019.186556.637145.37
27Algeria5190.623672.114592.35128.255552.626007.056517.137079.85
28United States of America4653.24287.994434.714774.275230.375617.016004.886287.7
29Angola3217.421847.92996.273419.273836.294559.795187.955599.51
30Mongolia2170.381992.992761.832850.493235.223856.114642.985433.85
31Myanmar1904.652127.752405.972774.213209.633621.134101.364645.61
32Pakistan15301872.442129.942683.933099.813564.574052.694576.47
33Mexico2772.692627.842824.533000.133255.463506.293726.53955.66
34Congo2497.261334.762710.453376.673616.833609.713630.43575.41
35Cote d'Ivory2156.222120.82491.562417.872632.422931.343185.683476.59
36Taiwan2510.372286.992632.882780.352934.563096.363276.243471.48
37Madagascar2685.212052.151992.832184.712375.82588.192786.473020.77
38Thailand1953.211842.822056.721892396.532564.822750.352953.59
39Cameroon2214.111925.661928.812028.562286.392573.742845.732907.94
40Sao Tome and Principe1215.71994.861425.781941.361479.411597.361715.762897.95
41Sierra Leone934.1371249.531498.721818.391953.792154.842423.122726.08
42Yemen1973.751274.61835.61959.572146.322366.212548.252695.07
43Gabon2078.131685.161895.352070.252182.172250.32365.862454.41
44Philippines1172.691121.871286.11466.81684.381928.152094.362278.45
45Sweden1660.881612.471684.51779.231897.222061.722161.872267.25
46Brazil1101.211134.391310.131440.341569.161708.831861.752027.85
47Senegal1292.61304.181378.031474.431595.951726.251871.232025.66
48Czech Republic1483.761459.981528.031602.861708.791805.041910.112020.97
49Equatorial Guinea3051.792368.092227.132336.132255.312029.652047.992020.04
50Sri Lanka680.745725.13838.7961004.2112241426.091643.331871.04
51Norway1503.551333.361433.031499.311584.51669.091746.451827.7
52Serbia1139.491146.631202.621276.531379.091502.251638.881778.8
53Bangladesh591.53639.8746.985879.7621030.881218.851419.291609.82
54Mali809.4571037.561188.981100.261202.541300.521394.131480.96
55Venezuela211.41174.145346.068472.017647.11854.3751111.451426.63
56South Africa671.829666.995728.128822.261932.7211059.571201.941360.56
57Burundi601.9291627.05853.193908.5661051.531146.951227.541350.02
58Burkina Faso630.752771.524854.024948.9121031.781131.831237.591324.8
59Rwanda660.746697.1885.324920.41031.491112.721211.681317.76
60Chad1042.56872.421940.0821075.371155.651189.191189.211233.69
61Germany1091.051065.191063.161099.781127.631161.071191.321218.72
62Armenia730.753655.569755.348855.182895.124989.9171078.651178.63
63France963.852923.364944.361999.0271044.321084.671127.721172.4
64Argentina344.485388.315513.746648.635782.661915.9821047.371169.85
65Kenya483.07538.394601.192697.055817.011928.4821015.591114.36
66Benin633.348675.817699.252775.299852.796936.1641013.351098.36
67Denmark960.28923.686889.843917.919956.6761006.581051.341093.86
68Saudi Arabia1182.83594.274726.73836.769903.76969.6421020.451083.03
69Syria491.205534.076593.469659.644727.34797.963873.281950.792
70Niger583.932474.48565.044608.772705.217767.205830.424891.625
71Iceland653.558592.007622.149660.508714.543771.862818.011862.111
72Sicily723.789709.135717.14732.347756.761779.53803.879828.827
73Ukraine419.669386.334463.349523.683598.089670.193739.477809.784
74Canada635.929584.676613.467650.308686.984724.588764.767801.254
75Poland504.02501.516548.341591.905637.219686.991730.119782.093
76United Kingdom546.011514.039534.247568.757600.539634.614669.02701.885
77Australia419.058418.384436.875479.878517.981548.313579.469613.256
78Egypt248.809288.544300.377333.705396.237467.603526.764598.953
79Turkey298.956302.011357.36392.328431.12468.445507.906549.126
80Dominican Republic249.813229.369263.099316.034351.746406.891462.973520.011
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
Revenue consists of taxes, social contributions, grants receivable, and other revenue. Revenue increases government?s net worth, which is the difference between its assets and liabilities (GFSM 2001, paragraph 4.20). Note: Transactions that merely change Billions National currency.

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