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 net lending/borrowing 2015

#国家/地区198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015
1东帝汶000000000000000000002.451-0.3140.2552.0846.153102.031173.56315.987430.772238.215212.482202.027190.835129.455155.06126.333
2刚果共和国0000000000-4.388-12.462-14.005-12.47-13.3-8.23110.1713.584-6.86-5.5491.1296.357-0.4870.3243.64414.63716.4249.44723.5194.89824.74728.49629.3628.39127.44825.352
3科威特0000000000-31.983-151.309-49.578-15.747-9.138-1.85711.60717.1666.87915.15432.35629.47419.33517.30822.21243.30335.48339.79719.94419.60917.12417.88117.90120.01822.37124.984
4阿塞拜疆共和国000000000000000000000.3880.006-0.369-1.7680.9622.4310.6322.29419.9886.76813.89314.37916.89618.22222.6323.231
5伊拉克00000000000000000000000006.49115.47912.431-3.337-21.931-14.181-8.2053.3139.93418.01221.331
6文莱达鲁萨兰国000000000000000-29.355-12.046-16.481-30.561-21.2027.6582.8347.6588.5799.05617.36121.91614.65231.7763.63212.61714.916.90617.75218.48719.775
7利比亚00000000001.2738.419-0.118-5.965-2.7563.92311.694-2.174-2.4415.88113.518-0.71210.019.48513.90629.40233.09333.27130.2589.40113.30514.2314.66316.17617.63818.718
8阿拉伯联合酋长国0000000000000000000-8.5693.378-4.869-6.906-2.853.25113.85718.03216.83718.21-6.3311.5847.9410.17811.24711.40111.808
9挪威5.3474.7663.915.9556.99.7335.7784.4852.6121.7852.1950.108-1.852-1.4310.2673.226.2917.6333.3215.99215.37413.3179.2117.29311.13915.08718.48317.72319.2589.85911.1411.2911.74612.08811.92511.756
10乍得000000000000000-3.244-2.892-2.476-1.433-4.567-5.341-4.008-3.75-4.835-1.5970.9837.4169.54912.2075.823.5829.1529.0839.2568.0148.2
11加蓬0000000000000000000011.8544.3314.018.3197.5568.7079.2248.6811.7267.4686.317.3517.5027.2388.1757.997
12圣多美和普林西比0000000000000000000051.489-12.943-9.942-10.477-16.67537.058-13.776121.56514.9-19.1-14.6433.83-9.123-8.398-8.1817.156
13沙特阿拉伯0000000000000000000-2.4866.1683.227-3.3115.50212.44421.8724.62215.70435.413-2.3691.8666.1936.5045.4945.8056.576
14波扎那0.47-1.611-2.3525.2219.70615.7518.70414.6613.1369.3119.9958.8629.3488.313.082.1836.2794.934-3.4532.9117.621-0.121-3.413-2.657-0.0785.9499.7035.6-3.119-11.516-7.901-4.995-0.8841.5912.8754.209
15安哥拉00000000000000000000-6.145-2.844-6.175-6.395-0.387.34314.82711.3268.923-8.6082.6833.2983.4625.0454.7873.266
16巴贝多00000000000000000001.9-3.815-3.722-8.347-6.06-0.194-4.814-4.914-6.232-6.892-7.205-6.837-3.64-0.7691.3782.3723.021
17乌兹别克斯坦0000000000001.757-14.983-5.607-3.843-7.866-2.171-3.789-3.024-2.494-1.283-1.8870.0730.6011.255.2165.25910.6813.2022.2312.3892.0832.3882.8282.828
18冰岛1.3491.31.705-2.0492.235-1.64-4.039-0.849-2.014-4.402-3.259-0.728-1.944-4.452-4.687-2.951-1.585-0.021-0.4041.1461.693-0.686-2.55-2.8240.034.8916.3195.402-0.54-12.644-9.246-5.647-1.0841.2681.7892.757
19蒙古0-4.983-4.664-5.101-5.456-5.964-15.37-16.298-16.973-14.305-11.77-8.427-9.501-11.679-7.797-5.116-6.834-7.888-12.413-10.609-6.076-4.694-5.197-3.726-1.8292.6368.2232.843-4.924-5.426-2.224-4.762-2.424-0.3883.8212.749
20韩国0000000000000002.4342.6482.3230.870.4933.4431.7262.2462.2072.2522.1412.3544.1981.6910.041.4031.9882.3352.6582.6552.614
21新加坡000000000011.55610.41711.8517.14118.29316.37214.44418.1869.38910.6239.9614.0183.3881.9522.9445.7035.31710.0385.224-0.8242.4131.4511.7921.892.072.203
22牙买加000000000002.5812.6942.3742.3171.682-3.675-6.17-5.944-4.008-1.407-3.884-6.158-5.628-4.766-3.543-4.376-3.918-6.395-9.892-7.123-3.226-1.314-0.0851.0442.156
23巴布亚新几内亚0000000000-4.811-2.579-8.054-8.949-2.9160.311.708-0.542-1.732-4.437-1.076-3.554-4.006-1.1091.5652.7046.5358.9552.509-7.656-1.1730.592-0.009-0.6891.42.15
24瑞典-5.71-4.691-6.586-5.131-3.034-3.665-0.3453.2943.3073.2383.363-0.076-8.886-11.173-9.066-7.317-3.314-1.6241.2161.1963.7261.663-1.404-1.1430.5612.0022.3823.7222.419-0.79-2.157-1.4390.1622.071.5591.701
25所罗门群岛0000000000-8.432-11.698-6.315-7.471-5.053-4.478-3.681-3.8370.553-2.648-6.233-8.918-7.016-2.4446.614-0.945-1.3571.267-0.2892.192.4252.2051.951.7511.5511.451
26格林纳达0000000000-9.784-5.398-1.801-0.195-3.518-0.569-3.702-6.034-2.906-3.341-3.034-7.897-17.878-4.439-2.580.45-6.107-7.889-5.072-6.561-2.936-1.214-0.2890.6060.8951.402
27伊朗0000000000-2.314-3.292-2.867-6.749-4.386-3.416-1.549-2.334-6.673-0.5526.0930.9160.5321.3441.6741.6680.0252.668-0.011-1.6970.3822.3532.0831.8112.0341.337
28多明尼加0000000000-5.661-3.642-2.72-1.736-4.177-3.597-1.983-2.806-4.562-11.401-10.859-8.458-5.32-1.256-0.8431.1593.612.2420.9130.841-1.182-0.648-0.0581.0491.121.164
29阿尔及利亚00000000003.1763.8830.751-5.916-1.8650.5873.9122.93-3.576-1.8959.763.741.1644.885.27113.66213.9146.1649.09-5.343-9.892-8.439-3.47-1.874-0.4511.011
30阿曼 00000000006.1050.661-5.416-7.59-8.148-4.4342.6625.617-4.840.46214.0528.7256.276.8736.33113.03714.47612.1717.1681.9926.7036.225.1223.9712.4590.846
31赖索托00-14.848-9.023-5.02-11.357-12.65-20.25-16.863-9.7-2.461-0.6042.5515.5965.8135.3985.0242.691-1.987-15.214-5.9080.017-3.456-0.4826.0695.04213.12410.0223.102-1.656-14.853-17.765-9.128-3.315-1.150.81
32澳大利亚000000000.9921.4280.284-2.225-4.168-4.146-3.225-2.033-0.8870.0630.3411.2741.6980.790.9291.5982.0732.4361.9561.543-0.513-4.109-4.572-2.48-0.60.0770.3660.699
33南非 00000000000000000000-1.53-1.128-1.083-1.816-1.190.0010.7721.149-0.461-5.166-5.792-4.497-3.086-1.549-0.4390.692
34香港000000000003.5692.9972.2551.102-0.3052.2386.742-1.6720.767-0.598-4.725-4.708-3.091-0.3181.054.2658.1020.0861.551.5621.7622.6673.3334.6250.656
35拉脫維亞000000000000000000-0.682-3.559-2.542-1.996-2.57-1.675-1.249-1.265-0.4940.641-7.495-7.841-11.947-7.597-1.792-0.2090.6910.648
36哈萨克斯坦00000000000000000000001.4242.8812.4565.7597.2114.7471.063-1.486-2.848-2.025-1.255-0.3460.1770.596
37塞舌尔000-9.79-9.804-14.566-17.771-1.8323.135-1.4864.1420.6992.048-6.165-2.254-4.039-6.492-8.443-10.061-7.208-11.546-8.488-14.722-0.837-0.8561.689-6.188-8.7342.2895.039-0.331.8770.7171.1720.7580.531
38安提瓜 和 巴布达00000000000000000-1.957-2.062-5.861-5.244-11.875-11.417-8.886-5.107-6.181-9.066-6.409-6.104-19.589-1.035-0.6190.1150.7481.1290.425
39巴拿马0000000000-1.4960.214-1.041-5.77211.1076.7712.156-0.799-2.131-1.209-0.607-2.327-3.291-4.705-4.895-2.6190.5113.4430.419-1.011-0.738-1.021-0.662-0.2260.1240.314
40瓦努阿图00000000000-5.531-2.323-3.669-1.493-2.586-1.777-0.507-6.432-0.534-6.08-3.213-3.513-1.3050.7761.8050.4730.2612.1010.053-0.0390.1540.2040.2040.2050.205
41中国00-1.334-1.61-1.443-0.455-1.82-2.082-2.22-2.201-1.966-2.204-2.273-1.837-2.618-2.012-1.482-1.741-2.816-3.7-3.268-2.802-2.953-2.448-1.489-1.39-0.6760.901-0.388-2.981-2.891-1.929-1.278-0.84-0.3810.075
42秘鲁00000000000000000000-2.741-2.593-2.151-1.655-1.143-0.5031.9223.1942.196-2.132-0.845-0.116-0.2790.1420.0530.064
43巴拉圭0000000002.0174.0710.241-1.1860.7612.7290.761-0.05-0.672-0.101-3.046-4.555-0.62-2.9490.4771.8310.8630.9691.5482.960.5340.522-0.087-0.206-0.211-0.0480.063
44卡塔尔000000000013.604-3.287-0.956-9.036-9.897-3.214-6.045-8.148-4.799-3.2748.2983.5179.7316.56417.25910.779.64211.3311.47813.67311.336.8894.2313.2311.6290.008
45不丹000000000000000000000000000000000000
46新西兰00000-5.062-3.732-2.235-0.972-1.184-1.634-4.358-3.959-0.0421.9533.213.4592.4290.3680.7692.1212.6173.1924.5685.434.6553.412.8980.741-2.771-4.143-3.3650000
47吉布提00000000000-2.952-11.441-12.995-11.111-8.507-3.9-4.3330.449-2.412-1.759-1.404-3.652-2.264-1.8950.241-2.472-2.5771.254-4.862-0.4750.0360.0230.0060.016-0.024
48瑞士000-0.742-0.352-0.0671.1521.1570.9520.789-0.208-2.205-3.456-3.839-2.995-2.127-2.246-2.68-0.737-0.5462.421-0.429-1.102-0.846-0.81-0.2881.4422.0930.7471.381-1.039-0.8730.1360.3360.293-0.036
49中非共和国00000000-6.673-4.059-4.725-7.178-5.8031.35-9.991-2.691-7.233-0.551-2.93-2.201-1.9-0.909-1.252-3.285-2.231-4.5448.9741.163-1.0051.083-0.725-1.707-0.249-0.42-0.143-0.055
50喀麦隆000000000000000000000.691-0.1340.7431.176-0.6653.15933.0874.5312.334-0.059-2.148-1.774-0.7990.1070.607-0.102
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
Net lending (+)/ borrowing (?) is calculated as revenue minus total expenditure. This is a core GFS balance that measures the extent to which general government is either putting financial resources at the disposal of other sectors in the economy and nonr Percent of GDP.

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