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 total expenditure 2015

#国家/地区198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015
1印度尼西亚000000000000056155.962455.76539074051.6115655.1174129.3201176.7231311.55362131.95341376.68397025.32457589.09520255.78671839.33779320.171009744.99965725.21091838.941242947.971396892.541571877.151770111.111982641.83
2伊朗00000000006449.88572.211789.93396937399.34792661123704457617794726.1105049.2127717.65206821.57252609.79320290.7485284.18609741.29750310.57860240.29884797.78952058.551010451.751100708.191176413.531218383.191307598.72
3越南0000000000000000007799291099108795121305138058172877.6188448243578.48266012.48318602.49409770.29552930.8597178.61664665.67746011.42839666.19947253.921073450
4韩国00000000000000062847733218160492314105216115043132788142528155012160140172921188181202703233354254823.33256829.58268654.57285817.25304198.47324978.3349466.86
5哥伦比亚00523.2640.4821.81015.61338.71807.752375.643728.44911.76427.58585.812219.916599.932239429987.1838177.0143376.9950441.3455073.5962580.9768214.5274235.8180540.6587954.28107974.38121617.66126535.01147615.53148797.51164194.79172626.41184358.46197328.6211820.55
6日本77380.585015.389654.393968.297425.7101163105875.3111004.3116129.7121766.9133069.6140138.9147843.7157273.1161566.1168416.8176386.7175113.4177358.4183207.9187514.4183363.4182401.7180252170495.2171639.1176151.3172191.2180044.5188503.31189607.57190510.14191887.27197121.26201240.3203690.1
7白俄罗斯00000000000000.0070.0340.251.0582.04776.712316.8281032.797835.4211360.3416818.9822725.4130698.1337558.6745852.561309.0163346.569698.3883561.3790718.52100350.2111310.16123663.48
8伊拉克000000000000000000000000046477.1348108.3751406.1490423.4876798.9588741.2990771.3391839.7195446.199399.27110974.42
9乌兹别克斯坦0000000000000.1322.52722.044116.447278.69385.936623.351885.4081278.821761.742800.93281.113870.944701.046057.188547.8811325.5216469.7621359.9625456.9430245.6335078.8640573.7647302.78
10智利000000000000000000000000013930.2115348.9817509.2420364.6223797.426970.6329168.130991.4832837.1534782.5137531.75
11印度00000000861.2281313.371542.271727.791922.422168.372534.062877.383237.773710.14352.685101.055672.816169.456736.177481.78227.939195.3610565.5112371.3315139.0217780.1520661.2423941.727519.9730954.5234083.3937378.16
12赞比亚0000000000000000000023984134.185085.986337.26918.918349.549051.0711209.2213098.0315009.8317213.3120152.824345.8426740.0329425.6332721.32
13巴拉圭64.25893.64997.151106.92138.19157.618169.29252.237320.96541.823681.0931118.921550.931841.472254.063124.523565.384403.424866.025669.986385.66050.716937.57228.438126.699500.8810954.1212059.2913187.931604718260.0720627.2122489.4624522.6626554.5828805.75
14俄罗斯0000000000000000001118.111771.882399.183015.083924.394613.415405.397088.76838411005.714229.2215847.317710.3519824.1221610.8523563.9125948.0628468.22
15黎巴嫩0000000000000005532.098779.869696.968970.189209.2710991.8810187.3910444.8110699.5510621.5810183.1911995.8113171.9515067.5417029.8419333.3521588.582204523406.9525189.8926977.5
16老挝000000000000000000002982.93428.163600.284088.734093.085164.046328.577413.389124.161157911754.6512444.4614435.9616483.1418309.5920173.66
17尼日利亚000000000000000000001706.562509.972196.313086.763176.674226.435034.396203.257198.637593.8810458.1910942.2512368.5913787.6615554.4517551.05
18匈牙利0000000000000002733.153275.224244.994868.45350.46426.877200.328794.759299.910139.4411018.4412350.1712666.2313069.1512984.4913113.8913527.514243.615030.7515874.6816758.71
19坦桑尼亚00000000000194.9305.07358.7487.9595.986638.428765.198905.2041167.521272.831462.771989.542528.193248.353873.264475.215217.186907.288311.89594.510691.7311893.0812685.9214110.415663.06
20中国00148.3169193.9232.4263.3282.7313.7363.8391.7415.2454545.9684.6773.9875.91039.471258.641505.261691.61963.722271.652526.632899.483441.354090.35022.746294.277832.48686.389585.210759.5912054.0213491.9315088.86
21柬埔寨00000000000000001441.471259.751571.21846.722118.72365.732832.532919.12972.363172.834063.314944.586403.628508.218474.479802.7710579.8711576.4312705.7814044.18
22乌干达000000000000000001214.911370.321639.252058.582206.872508.632724.433042.923240.393407.083894.844546.85395.766112.237025.638043.99149.9910283.3811518.21
23几内亚0000000000458.469515.206571.547579.613580.529646.925639.357726.381655.567773.6148931113.831157.351395.31464.151807.882871.412566.323627.495240.255680.645874.846623.937355.848153.419176.79
24哥斯大黎加000000000000000000001072.181249.891496.321671.11887.22156.212491.522907.873558.814274.785069.585621.676281.236836.387428.18053.74
25刚果民主共和国00000000000000000.2310.7181.024.07927.27383.36157.869357.58430.62916.023856.4621008.321551.292585.994191.085662.466053.366443.887195.287860.2
26哈萨克斯坦0000000000000000000000794.0481036.321296.931694.582067.443105.764368.964002.295073.815508.616021.526525.697004.637671.2
27美国0000000000000000000003554.613800.940224254.24563.447965143.95611.636107.086055.736239.266283.986565.857028.057459.52
28阿尔及利亚0000000000142.54239.63308.724390.484461.895589.085724.609845.196875.7391034.321178.121321.031550.651691.351891.772052.042454.393114.244191.234213.625779.286260.966065.426309.96596.066892.82
29缅甸0000000000026.3528.20135.70248.4865.03576.44398.111123.538145.208220.836270.335351.959650.926985.8641000.311677.42161.412344.722737.063327.453801.394289.574893.495523.586235.13
30马达加斯加51.05547.93248.8155.32264.14160.95666.44772.919104.744160.862160.066164.455228.82271.138368.268484.562588.534640.32827.981849.339969.9491119.841003.61397.72160.412162.482541.12569.372998.312567.72151.443204.983797.084165.714529.525134.32
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
Total expenditure consists of total expense and the net acquisition of nonfinancial assets. Note: Apart from being on an accrual basis, total expenditure differs from the GFSM 1986 definition of total expenditure in the sense that it also takes the dispos Billions National currency.

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