国际货币基金会直到2015年世界经济预测 => 2010年预测数据

发表日子 2011-02-03 10:38:48
最后修正 2011-10-13 20:06:10

General government revenue 2015

#国家/地区198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015
1印度尼西亚012829.612352.915887.919313.519839.717953.521039.524057.62760638956.642709.647409.353810.762478.168909.980244.2107814.9152263.3188428.7203045.48317747.47325573.1369350.6443267.11537758.9679385.61731670.471008712.49877240.241000291.441120811.881270415.381439924.931621918.771831730.06
2伊朗00000000005632.56933.59884.627216.731672.74157557276636155421592316140417.74133872.18211752.16267518.11343828.84513589.99610262.17821151.59859906.27829929.66965959.11109444.561199175.41271487.711337263.121394834.41
3越南000000000000000000721437771989911102929120596143692175785212830262063296745.6396500.29404698481209.35571303.01657255.36746432.12846019.75968970.67
4韩国00000000000000072820855289336896673107923135811144033158712171945178760191446209574243633250713255252273020.88293493.34317005.31342101.11365398.15392079.54
5哥伦比亚11373.5479614.1843.81155.31734.012228.993422.74797.46554.58554.612073.3616488.621386.5427164.0933373.6937728.8341456.5448982.8155644.6460012.4968490.177422.8587424.87104744.62117164.07126877.26134749.83130499.87142394.38154454.96167405.76181173.74195717.71
6日本66146.374478.378902.882317.289355.696854.6101410.8110027.6118386127419.9141545.4148908.7151461.7145812.2143541.1145720.3150544.6154334.1149080.1146303.1149068151998.7142936.1140975.3139828147316.8155866.9159875.4159193.4139964.17143802.72147966.7152415.14158392.61163085.13165786.33
7伊拉克000000000000000000000000049468.9858346.6160293.6886978.2459905.1374781.5981857.1796071.14109867.08129426.3151470.69
8白俄罗斯00000000000000000076.284325.7671017.967718.5411706.116795.7423004.2130824.8738896.34804965663.3562749.263388.6274774.0785539.4495502.41106567.49118652.69
9乌兹别克斯坦0000000000000.141.76318.407104.812234.715364.727569.692821.0421197.621698.532660.33288.313944.694900.027139.9110030.315357.3418009.6722690.7627158.831991.9637424.843828.7151097.88
10智利00000000000000007378.148186.278454.548363.989640.1610403.7610796.8711671.2413947.9817057.8521459.8824677.8824241.0419858.8725275.9128515.3330434.7132330.3934624.7937082.37
11赞比亚0000000000000000000025283263.034256.075104.196173.157467.3916824.8810625.8512289.5412926.491517217390.5320356.4523094.3126628.0630443
12巴拉圭65.80875.01585.85686.438105.918134.166178.658252.519332.682628.013926.6111137.61443.511924.942614.83245.033556.324273.494844.294976.395258.835886.536079.197398.538886.959899.3811460.5513011.1915367.2916424.6418679.920550.5722289.9624300.5626499.5828883.72
13印度00000000593.334885.6181019.841201.911382.041513.131798.662098.832316.552645.322931.843284.823635.343924.114371.095001.865887.636812.048310.9910380.4810989.7311781.313862.8516693.8119626.3322565.8725233.0428110.52
14俄罗斯000000000000000000908.9411586.532642.383301.714002.444804.486240.018851.2710625.813250.716003.4513420.715556.9117998.3319968.8821970.3223838.3225859.22
15黎巴嫩0000000000191.1655.91138.1120522748.283105.673604.573825.554503.544880.284848.814684.835847.856596.77485.2674058485.879081.791074112801.5214223.9415453.9616496.0417718.4518856.6820028.1
16老挝000000000000000000002305.72527.882711.852874.523299.664155.155255.36383.997374.938370.299670.4111641.0613562.6315046.7816502.6817942.58
17尼日利亚000000000000000000001986.952247.882348.452794.774127.325591.836336.355926.058063.365003.198000.789399.7211071.1612925.9514783.7316793.97
18中国00141.2159.4183.5228.3244.6257.6280.3326.4355367.2392.8481558.4651.6770.4901.9631020.941173.411367.41656.421916.322194.162661.443184.263944.045262.186172.546817.27560.498735.0110128.1611590.1113256.415140.61
19匈牙利0000000000000002443.813136.43928.624490.385043.545851.846601.267277.657941.578801.099279.0310119.0711385.9512076.6911913.111979.8712249.2312695.3313376.4714118.8414926.92
20柬埔寨00000000000000001327.741222.541285.441679.911824.351957.422213.232187.942570.053204.094192.224929.196867.497007.397562.478678.259752.9110937.5812241.3613750.39
21坦桑尼亚00000000000206.366222.41319.344384.94522.939724.453775.444929.9441079.781215.931428.151839.822155.982794.683036.293691.925215.975632.556204.887566.758489.239628.2510771.8412042.313405.42
22乌干达000000000000000001056.661245.3413891605.171914.381968.652202.562855.133146.323241.153616.193800.484772.75264.135851.936695.147617.038688.759977.78
23几内亚0000000000355.759399.48437.219425.736415.635486.081482.569576.251601.408626.208719.8868.21876.914952.6721027.371631.482397.752620.293351.793662.494335.545376.2822285.866966.257718.868561.95
24哈萨克斯坦0000000000000094171187.2225.246315.242353.651568.2833.9847.8151169.191441.122131.722803.923705.754542.243765.854539.695096.275738.556439.387053.177852.76
25刚果民主共和国00000000000000000.1570.4040.5912.32915.09191.276159.64223.323299.357564.898806.121877.3951355.942206.283770.274278.054865.525521.166369.837376.21
26哥斯大黎加00000000000000000000954.4191122.911278.821484.741721.192041.152546.693168.023675.493739.434204.134736.625397.76019.186556.637145.37
27阿尔及利亚0000000000160.2272.4316.8320.1434.161600.847825.157926.668774.511972.781578.161479.11603.281947.442215.173082.673639.913687.855190.623672.114592.35128.255552.626007.056517.137079.85
28美国0000000000000000000003526.93387.53477.53733.84160.54523.24768.64653.24287.994434.714774.275230.375617.016004.886287.7
29安哥拉0000000000000000000048.05190.32204.469394.898627.0781085.841684.862124.673217.421847.92996.273419.273836.294559.795187.955599.51
30蒙古03.724.1824.4784.684.9184.364.544.6815.2435.2958.96511.856.81285.745140.901160.435212.143225.505251.7351.396429.499477.049553.888713.113837.8581360.411880.492170.381992.992761.832850.493235.223856.114642.985433.85
31缅甸0000000000015.8820.67427.74532.62340.18253.80788.298116.674117.541134.695164.261280.745384.024739.347818.9181292.921701.461904.652127.752405.972774.213209.633621.134101.364645.61
32巴基斯坦 0000000000181.8215.5237.4255.3269.39307.433370.579391.678423.007488.604545.993593.506707.21838.22824.653919.3921120.91327.2215301872.442129.942683.933099.813564.574052.694576.47
33墨西哥0000000000181.8219.154256.309284.851315.1401.782551.538697.166767.716937.581147.071223.211343.091553.111654.341925.382221.462399.822772.692627.842824.533000.133255.463506.293726.53955.66
34刚果共和国0000000000207.636196.024175.781184.556221.969251.337360.587389.374261.53387.41609.388631.827575.414613.5745.81245.717961579.252497.261334.762710.453376.673616.833609.713630.43575.41
35科特迪瓦000000000000000001364.041426.311306.141270.61376.61482.251403.531507.4915661727.531871.182156.222120.82491.562417.872632.422931.343185.683476.59
36台湾000000000986.8831097.361134.61349.171424.171544.521600.431641.941843.562028.171914.91991.481852.442051.482179.572154.482502.352425.592568.162510.372286.992632.882780.352934.563096.363276.243471.48
37马达加斯加25.7821.2224.4829.8435.3647.6651.9256.897.46123.52150.98108.54154.88167204.48308.17417.62540.646556.92701.98802.878838.121610.631044.961653.451682.246986.622201.062685.212052.151992.832184.712375.82588.192786.473020.77
38泰国000000000000000826.508934.078937.81822.73804.194851.29972.11015.161249.961381.121563.341714.661788.671953.211842.822056.721892396.532564.822750.352953.59
39喀麦隆000000000000000000001139.591179.41247.011312.21275.721554.724471.741985.442214.111925.661928.812028.562286.392573.742845.732907.94
40圣多美和普林西比00000000000000000000381.23248.784245.635322.098381.23973.769570.1563144.191215.71994.861425.781941.361479.411597.361715.762897.95
数据来源:国际货币基金会2010年。

表格 | 图像 | 闪电图像
| 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 | 在业人口 | 人口 | 失业率 | 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 | 增长率 | 中国人
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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