World Economic Outlook according to the IMF until 2015 => Data 2010

Created 2011-02-03 10:38:48
Updated 2011-10-13 20:06:10

Inflation, end of period consumer prices 2015

#Country/Territoty198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015
27Malawi08.99812.51118.60811.92611.05413.85335.51126.372-0.97423.27.38836.0918.30965.96574.956.715.1653.14628.23135.44522.12128.289.82413.69516.56110.1387.5239.937.5947.56576.86.56.2065.5
28Sudan00000000000123.578117.624101.305115.47870.799114.2732.0437.9317.0143.3457.3778.2588.2587.2685.6515.7068.80414.89311.46310865.55.55.5
29Honduras11.5159.1518.7867.833.6594.2473.1752.9236.72611.39136.42121.3826.50513.04728.90526.79425.31212.77815.64410.88810.18.818.0976.7959.1837.7485.2868.87310.8312.9515.75.85.55.35.35.3
30Botswana014.612.78.36.510.410.88.110.411.31212.616.512.79.810.89.67.86.3658.4138.485.75210.66.3687.8911.2858.5228.14113.6785.8466.6025.9145.4945.3945.1945.194
31Tanzania026.2923.40434.48327.56439.19628.5232.30330.78636.85118.62437.7620.73626.10837.97226.77115.54615.35311.266.9623.6984.8544.4044.5634.1024.9826.6596.42313.47412.2264.9554.9564.9714.9925.0385.041
32Ukraine000000000000010155.04396.203181.91539.62310.2719.85319.42725.6856.131-0.5138.25812.27710.29711.64616.55222.33712.33412.0299.7668.3135.8795.0375.038
33Belarus00000000000001996.631959.7243.96439.29963.107181.749251.196107.49546.12134.79225.37314.447.946.6212.07213.310.11310.0359.9977.0225.0265.0265.026
34Solomon Islands0000000000000012.78410.5799.33910.417106.697.8786.25915.70847.4598.469.93310.92118.0921.7576.4996.0155.6865.5575.3085.016
35Haiti004.85711.2495.42817.419-11.351-4.1338.62210.86526.11513.76115.18127.68141.97618.217.01516.958.2689.92115.31711.49811.37337.78121.68414.84412.4157.86719.846-4.6818.58.67.5765
36Vietnam0000000-34.571266.65234.66866.25367.58917.6055.2814.5283.5999.208-0.1669.453-0.307-0.6320.9254.1193.0839.8228.8196.69912.63119.8916.51887.15555
37Russia0000000000000839.9215.1131.321.81184.436.520.218.615.11211.710.9911.913.38.87.56.86.25.555
38Trinidad and Tobago0000000000008.49816.7995.5393.7754.3483.4515.6243.4245.63.24.32.965.637.1639.0837.6214.4531.33910.42765555
39Tajikistan000000000000073441.0752144.2540.546163.5622.72530.14260.62812.47914.47113.7315.7327.12512.51419.84611.8575.005976555
40Burundi010.9868.0135.26124.966-5.5354.4324.9855.35912.00210.7328.3383.52215.53213.15719.16937.38426.583-0.96420.7114.0953.9273.52910.68411.7710.9579.34814.6925.6644.639.79476.5555
41Rwanda03.10818.4281.7925.924-1.8982.3622.8952.2930.7286.04821.40814.49512.5164.39138.3868.73616.615-5.9582.0575.832-0.2196.1657.67710.2365.60812.1386.57922.2775.74765555
42Mongolia00000000000208.632118366.353.10544.57620.5095.9969.9668.927.9231.724.66210.6139.2284.75214.11823.1921.88811.9637.4025555
43Gambia, The04.12612.73115.38524.68125.45552.30115.31712.4188.39410.48711.5534.2465.1285.0434.0392.2530.3094.7791.7490.2038.06913.00517.5648.094.8460.4236.026.8352.718555555
44Nepal010.911.34914.4141.5656.89921.6969.148.96710.2295.56115.13619.35.8619.0828.6975.9935.67312.0119.0170.5963.4073.516.092.0226.6498.2735.09412.06511.4259.665555
45Zambia013.99712.49519.69220.01937.4354.847.02854.042128.29496.00899.651180.715128.10538.35545.9835.2118.58130.56720.63330.118.67826.65417.16117.50215.8518.2398.93316.569.98.057.0176.008555
46Guinea000000033.65426.25926.06827.33112.23316.14.9962.5435.22.0535.2914.5296.1617.2071.136.11812.09427.64429.66339.13212.82213.5047.89919.413.58555
Source: International Monetary Fund 2010 (IMF).

Table | Charts | Flash Charts
| 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 | Employment | Population | Unemployment rate | 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 | Growth Rate | Chinese
Data for inflation are end of the period, not annual average data. Percent change.

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