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
151捷克共和国000000000000000-197.041-55.834-68.839-100.061-77.289-81.471-131.838-166.774-170.016-82.749-106.579-84.458-23.175-98.569-213.744-204.247-221.556-218.199-232.446-244.836-257.758
152柬埔寨0000000000000000-113.728-37.215-285.759-166.814-294.353-408.31-619.298-731.156-402.331.26128.91-15.392463.866-1500.82-912.008-1124.52-826.958-638.855-464.422-293.789
153台湾000000000-328.015-173.635-379.094-289.161-367.256-378.403-458.376-535.268-511.77-515.685-694.9-616.098-859.101-557.233-377.185-436.154-211.187-197.704-181.648-307.033-724.389-512.736-356.071-341.546-303.925-321.582-340.745
154塞内加尔0000000000000000000029.19-84.5-27.431-70.247-99.4-127.968-264.79-207.901-281.2-315.812-285.508-323.881-318.786-306.962-327.062-354.399
155孟加拉国-22.8-22.85-27.95-32.225-31.005-32.575-40.095-43.8-45.3-52.518-58.04-59.846-53.5-55.59-61.4-79.8-71.261-71.539-70.982-83.276-120.582-125.847-125.086-101.715-102.62-124.044-134.462-150.639-277.53-228.85-186.315-252.616-291.953-329.811-373.486-388.911
156科特迪瓦00000000000000000-149.83-173.411-223.86-96.669.7-88.662-164.203-136.065-148.007-162.281-73.76-60.97-171.093-27.798-318.028-403.34-368.421-395.209-419.316
157也门000000000000000-29.744-6.808-13.281-66.7610.71694.86346.323-10.432-90.761-55.178-58.45144.601-309.495-243.616-520.514-374.536-389.454-423.604-345.032-362.392-422.416
158巴基斯坦 0000000000000-114.934-100.844-129.047-155.096-157.296-196.784-138.881-155.607-124.027-170.6675.26-130.657-275.652-367.229-472.78-750.97-624.854-910.476-608.366-480.45-521.527-429.637-430.056
159智利00000000000000000000000003127.646110.917168.643876.41-3938.53-1694.72-652.772-556.773-506.763-157.719-449.376
160刚果民主共和国0000000000000000-0.074-0.315-0.429-1.751-12.1817.9161.771-134.257-131.262-351.125-50.341-130.926-195.349-379.714-420.818-1384.42-1187.84-922.721-825.454-483.995
161墨西哥0000000000-24.404-8.8051.5412.342-10.94-89.714-155.703-210.827-258.243-304.358-194.285-210.163-241.555-170.136-114.843-127.84-107.828-146.627-168.85-577.235-466.753-418.148-398.899-430.374-463.462-497.295
162斯里兰卡0000000000-25.152-36.32-25.764-35.295-52.469-58.198-64.64-62.732-85.947-76.491-119.396-146.722-133.987-132.951-156.753-172.731-205.746-246.02-315.381-476.797-438.131-431.114-377.135-401.084-446.625-512.078
163赤道几内亚-1.082-1.446-2.002-0.7380.659-0.898-2.3290.21-12.278-5.898-1.896-2.159-3.63-3.533-3.95-2.482-3.18910.086-5.9-0.868-21.948182.781252.785202.361340.154894.85311801165.471268.3-459.435251.64-310.185-546.266-538.419-500.325-525.483
164几内亚0000000000-102.71-115.726-134.328-153.877-164.894-160.844-156.788-150.13-54.158-147.406-173.2-245.621-280.437-442.628-436.777-176.4-473.6653.967-275.697-1577.76-1345.1-498.55915661.93-389.593-434.547-614.835
165塞拉利昂00000000000000000000-104.556-164.039-157.049-151.406-93.802-66.638-93.1541281.16-273.195-202.424-362.349-427.164-371.55-476.096-555.124-657.188
166尼日利亚00000000000000000000280.387-262.081152.133-291.989950.6541365.41301.96-277.2864.737-2590.7-2457.41-1542.53-1297.43-861.706-770.72-757.078
167哥斯大黎加00000000000000000000-117.763-126.973-217.497-186.36-166.011-115.05455.171260.147116.68-535.347-865.441-885.05-883.527-817.202-871.475-908.365
168美国000000000000000000000-27.714-413.4-544.5-520.4-402.9-272.8-375.3-958.425-1819.09-1621.02-1464.99-1053.61-948.834-1023.17-1171.83
169乌干达00000000000000000-158.25-124.983-250.245-453.403-292.491-539.987-521.868-187.79-94.077-165.938-278.648-746.321-623.058-848.098-1173.69-1348.76-1532.96-1594.63-1540.43
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
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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