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
11挪威16.82817.19715.6126.40834.40653.7732.98527.93817.03312.41716.160.838-14.768-11.9982.3530.38164.98985.43237.86874.327227.722204.67141.134116.238194.154293.542399.149402.608484.682234.709281.667299.462329.384356.961368.694380.79
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13哈萨克斯坦000000000000000000000053.766132.868144.189437.141736.474599.988173.284-236.44-534.121-412.337-282.97-86.31548.541181.552
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170缅甸00000000000-10.471-7.527-7.957-15.857-24.853-22.637-9.813-6.864-27.667-86.142-106.074-71.214-266.902-246.517-181.389-384.478-459.954-440.073-609.311-921.478-1027.17-1079.94-1272.36-1422.22-1589.52
171匈牙利000000000000000-289.341-138.828-316.368-378.023-306.865-575.034-599.056-1517.1-1358.33-1338.35-1739.42-2231.11-1280.28-992.461-1071.39-1134.02-1278.27-1548.27-1654.29-1755.85-1831.79
172马达加斯加-25.275-26.712-24.33-25.482-28.781-13.296-14.527-16.119-7.284-37.342-9.086-55.915-73.94-104.138-163.788-176.392-170.914-99.674-271.061-147.359-167.07-281.719-392.972-352.741-506.957-480.2444445.52-368.315-313.1-515.553-158.606-1020.27-1421.28-1577.52-1743.05-2113.55
173老挝00000000000000000000-677.196-900.283-888.43-1214.22-793.414-1008.89-1073.27-1029.39-1749.24-3208.71-2084.24-803.399-873.332-1436.37-1806.92-2231.09
174坦桑尼亚0000000000011.466-82.66-39.356-102.96-73.04786.02510.24624.741-87.744-56.902-34.622-149.719-372.21-453.675-836.963-783.285-1.22-1274.73-2106.92-2027.75-2202.5-2264.83-1914.08-2068.09-2257.64
175赞比亚00000000000000000000130-871.146-829.915-1233.02-745.757-882.1547773.82-583.363-808.497-2083.34-2041.31-2762.28-3989.39-3645.72-2797.57-2278.32
176俄罗斯000000000000000000-209.165-185.349243.205286.63778.051191.071834.6161762.512241.822451774.23-2426.6-2153.44-1825.79-1641.97-1593.58-2109.74-2609
177白俄罗斯000000000000000000-0.4288.94-14.83-116.879345.766-23.232278.802126.7351337.632196.54354.35-597.3-6309.76-8787.3-5179.08-4847.78-4742.67-5010.79
178黎巴嫩000000000000000-2426.42-5175.29-5871.41-4466.65-4329-6143.07-5502.56-4596.95-4102.85-3136.31-2778.19-3509.94-4090.16-4326.54-4228.32-5109.4-6134.62-5548.96-5688.5-6333.22-6949.39
179印度00000000-267.894-427.753-522.427-525.877-540.385-655.239-735.409-778.553-921.218-1064.78-1420.84-1816.23-2037.47-2245.34-2365.07-2479.85-2340.31-2383.32-2254.52-1990.85-4149.29-5998.84-6798.38-7247.89-7893.64-8388.65-8850.35-9267.64
180哥伦比亚00-149.7-161.4-207.7-171.8-183.4-73.74-146.653-305.7-114.3127-31.2-146.537-111.331-1007.47-2823.09-4803.33-5648.16-8984.8-6090.78-6936.33-8202.03-5745.71-3117.8-529.416-3229.75-4453.59342.25-12865.7-18297.63-21800.41-18171.45-16952.7-16154.86-16102.83
181日本-11234.2-10537-10751.5-11651-8070.1-4308.4-4464.5-976.72256.356538475.88769.83618-11460.9-18025-22696.5-25842.1-20779.3-28278.3-36904.8-38446.4-31364.7-39465.6-39276.7-30667.2-24322.3-20284.4-12315.8-20851.1-48539.14-45804.85-42543.44-39472.13-38728.65-38155.17-37903.77
182越南000000000000000000-5849-13380-18884-18376-17462-29185.6-12663-30748.48-3949.48-21856.89-13270-148232.8-115969.26-93362.66-88756.06-93234.07-101234.16-104479.33
183印度尼西亚0000000000000-2345.222.43519.96192.6-7840.2-21866-12748-28266.07-44384.47-15803.58-27674.72-14321.9717503.127546.29-47649.7-1032.5-88484.96-91547.5-122136.09-126477.16-131952.22-148192.35-150911.77
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 Billions National currency.

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