[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f2y8wwpfv98wy4":3},{"msg":4,"code":5,"data":6},"操作成功",200,{"column_ids":7,"column_names":23,"data_list":39,"table_name":505,"units":506,"source":507,"description":508,"frequency":509},[8,9,10,11,12,13,14,15,16,17,18,19,20,21,22],"ts","ai:psd_BalanceSheet_Oilseed,Cottonseed_Brazil:收获面积","ai:psd_BalanceSheet_Oilseed,Cottonseed_Brazil:期初库存","ai:psd_BalanceSheet_Oilseed,Cottonseed_Brazil:压榨量","ai:psd_BalanceSheet_Oilseed,Cottonseed_Brazil:国内消费量","ai:psd_BalanceSheet_Oilseed,Cottonseed_Brazil:期末库存","ai:psd_BalanceSheet_Oilseed,Cottonseed_Brazil:出口量","ai:psd_BalanceSheet_Oilseed,Cottonseed_Brazil:国内饲料损耗量","ai:psd_BalanceSheet_Oilseed,Cottonseed_Brazil:国内食品用量","ai:psd_BalanceSheet_Oilseed,Cottonseed_Brazil:进口量","ai:psd_BalanceSheet_Oilseed,Cottonseed_Brazil:产量","ai:psd_BalanceSheet_Oilseed,Cottonseed_Brazil:籽棉比","ai:psd_BalanceSheet_Oilseed,Cottonseed_Brazil:总流通量","ai:psd_BalanceSheet_Oilseed,Cottonseed_Brazil:总供应量","ai:psd_BalanceSheet_Oilseed,Cottonseed_Brazil:单产",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"时间","收获面积","期初库存","压榨量","国内消费量","期末库存","出口量","国内饲料损耗量","国内食品用量","进口量","产量","籽棉比","总流通量","总供应量","单产",[40,53,64,75,86,97,107,118,129,139,149,160,170,179,190,200,210,220,230,240,250,260,267,275,286,294,302,311,318,325,332,340,347,353,360,367,373,380,386,391,397,403,408,415,421,428,434,439,446,452,457,462,469,476,482,488,494,500],[41,42,43,44,45,46,47,48,49,49,50,49,51,51,52],"2026","2000.0","395.0","5300.0","5850.0","305.0","50.0","550.0","0.0","5810.0","6205.0","2.905",[54,55,56,44,57,58,59,60,49,49,61,49,62,62,63],"2025","2100.0","259.0","5825.0","393.0","100.0","525.0","6059.0","6318.0","2.89",[65,66,67,68,69,56,47,70,49,71,72,49,73,73,74],"2024","1945.0","164.0","5025.0","5500.0","475.0","1.0","5644.0","5809.0","2.9",[76,77,78,79,80,67,81,82,49,49,83,49,84,84,85],"2023","1660.0","173.0","4500.0","4810.0","36.0","310.0","4837.0","5010.0","2.91",[87,88,89,90,91,78,92,93,49,49,94,49,95,95,96],"2022","1600.0","92.0","3600.0","3800.0","10.0","200.0","3891.0","3983.0","2.43",[98,99,100,101,102,89,71,103,49,49,104,49,105,105,106],"2021","1370.0","221.0","3500.0","3720.0","220.0","3592.0","3813.0","2.62",[108,109,110,111,112,100,113,114,49,49,115,49,116,116,117],"2020","1665.0","175.0","4200.0","4512.0","17.0","312.0","4575.0","4750.0","2.75",[119,120,121,122,123,110,124,125,49,49,126,49,127,127,128],"2019","1640.0","162.0","4050.0","4274.0","29.0","224.0","4316.0","4478.0","2.63",[130,131,89,132,133,121,134,135,49,49,136,49,137,137,138],"2018","1175.0","2800.0","2938.0","53.0","138.0","3061.0","3153.0","2.61",[140,141,142,55,143,89,144,145,49,49,146,49,147,147,148],"2017","940.0","28.0","2241.0","25.0","141.0","2330.0","2358.0","2.48",[150,151,152,153,154,142,155,156,49,49,157,49,158,158,159],"2016","955.0","23.0","1750.0","1944.0","16.0","194.0","1965.0","1988.0","2.06",[161,162,163,55,164,152,165,166,49,49,167,49,168,168,169],"2015","975.0","45.0","2306.0","99.0","206.0","2383.0","2428.0","2.44",[171,172,134,173,174,163,89,175,49,49,176,49,177,177,178],"2014","1120.0","2300.0","2558.0","258.0","2642.0","2695.0","2.36",[180,181,182,183,184,134,185,186,49,49,187,49,188,188,189],"2013","895.0","44.0","1700.0","1917.0","72.0","217.0","1998.0","2042.0","2.23",[191,192,193,194,195,182,49,196,49,49,197,49,198,198,199],"2012","1395.0","95.0","2600.0","2913.0","313.0","2862.0","2957.0","2.05",[201,202,47,203,204,193,205,206,49,49,207,49,208,208,209],"2011","1400.0","2575.0","2939.0","4.0","364.0","2988.0","3038.0","2.13",[211,212,92,213,214,47,215,216,49,49,217,49,218,218,219],"2010","835.0","1550.0","1740.0","39.0","190.0","1819.0","1829.0","2.18",[221,222,223,224,225,92,205,226,49,49,227,49,228,228,229],"2009","845.0","11.0","1650.0","1849.0","199.0","1852.0","1863.0","2.19",[231,232,233,42,234,223,235,236,49,49,237,49,238,238,239],"2008","1075.0","12.0","2369.0","75.0","369.0","2443.0","2455.0","2.27",[241,242,243,244,173,233,245,246,49,49,247,49,248,248,249],"2007","1095.0","2.0","1950.0","14.0","350.0","2324.0","2326.0","2.12",[251,252,253,202,254,243,255,256,49,49,257,49,258,258,259],"2006","855.0","5.0","1574.0","9.0","174.0","1580.0","1585.0","1.85",[261,262,49,183,263,253,49,264,49,49,265,49,265,265,266],"2005","1180.0","1973.0","273.0","1978.0","1.68",[268,269,49,224,270,49,271,272,49,49,273,49,273,273,274],"2004","1100.0","1979.0","18.0","329.0","1997.0","1.82",[276,277,49,278,279,49,280,281,49,282,283,49,284,284,285],"2003","735.0","1000.0","1188.0","106.0","188.0","3.0","1291.0","1294.0","1.76",[287,288,49,289,262,49,205,290,49,155,291,49,292,292,293],"2002","748.0","1025.0","155.0","1168.0","1184.0","1.56",[295,296,49,297,298,49,282,299,49,71,300,49,301,301,266],"2001","853.0","1225.0","1429.0","204.0","1431.0","1432.0",[303,304,49,305,306,49,307,308,49,253,309,49,310,310,293],"2000","803.0","1050.0","1246.0","8.0","196.0","1249.0","1254.0",[312,313,49,314,315,49,49,316,49,49,315,49,315,315,317],"1999","752.0","965.0","1110.0","145.0","1.48",[319,320,49,321,322,49,49,323,49,49,322,49,322,322,324],"1998","685.0","677.0","782.0","105.0","1.14",[326,327,49,328,329,49,49,330,49,49,329,49,329,329,331],"1997","765.0","580.0","650.0","70.0","0.85",[333,334,49,335,336,49,49,337,49,71,338,49,336,336,339],"1996","695.0","390.0","491.0","101.0","490.0","0.71",[341,342,49,343,344,49,49,345,49,49,344,49,344,344,346],"1995","1130.0","565.0","655.0","90.0","0.58",[348,349,49,327,350,49,49,351,49,49,350,49,350,350,352],"1994","1220.0","960.0","195.0","0.79",[354,355,49,356,357,49,49,358,49,49,357,49,357,357,359],"1993","1085.0","640.0","760.0","120.0","0.7",[361,362,49,363,364,49,49,365,49,49,364,49,364,364,366],"1992","1485.0","560.0","730.0","170.0","0.49",[368,369,49,370,371,49,49,103,49,49,371,49,371,371,372],"1991","1969.0","970.0","1190.0","0.6",[374,375,49,376,377,49,49,378,49,49,377,49,377,377,379],"1990","1977.0","930.0","1170.0","240.0","0.59",[381,382,49,350,383,49,49,384,49,49,383,49,383,383,385],"1989","1900.0","1165.0","205.0","0.61",[387,388,49,278,389,49,49,351,49,49,389,49,389,389,390],"1988","2367.0","1195.0","0.5",[392,393,49,394,213,49,49,395,49,49,213,49,213,213,396],"1987","2156.0","1300.0","250.0","0.72",[398,399,49,400,355,49,49,401,49,49,355,49,355,355,402],"1986","2130.0","920.0","165.0","0.51",[404,405,49,278,355,49,49,406,49,49,355,49,355,355,407],"1985","2290.0","85.0","0.47",[409,410,49,411,412,49,49,413,49,49,412,49,412,412,414],"1984","2420.0","1618.0","1758.0","140.0","0.73",[416,417,49,418,419,49,49,420,49,49,419,49,419,419,402],"1983","1960.0","909.0","995.0","86.0",[422,423,49,424,425,49,49,426,49,49,425,49,425,425,427],"1982","2113.0","1121.0","1198.0","77.0","0.57",[429,430,49,431,432,49,49,426,49,49,432,49,432,432,433],"1981","2070.0","1087.0","1164.0","0.56",[435,436,49,437,438,49,49,426,49,49,438,49,438,438,433],"1980","2015.0","1056.0","1133.0",[440,441,49,442,443,49,49,444,49,49,443,49,443,443,445],"1979","1975.0","983.0","1057.0","74.0","0.54",[447,157,49,448,449,49,49,450,49,49,449,49,449,449,451],"1978","885.0","951.0","66.0","0.48",[453,436,49,454,455,49,49,330,49,49,455,49,455,455,456],"1977","774.0","844.0","0.42",[458,459,49,418,460,49,49,461,49,49,460,49,460,460,366],"1976","1990.0","977.0","68.0",[463,464,49,465,466,49,49,467,49,49,466,49,466,466,468],"1975","1815.0","654.0","703.0","49.0","0.39",[470,471,49,472,473,49,49,474,49,49,473,49,473,473,475],"1974","2216.0","842.0","905.0","63.0","0.41",[477,478,49,350,479,49,49,185,49,243,480,49,479,479,481],"1973","2287.0","1032.0","1030.0","0.45",[483,484,49,431,485,49,49,486,49,113,487,49,485,485,390],"1972","2307.0","1169.0","82.0","1152.0",[489,490,49,491,492,49,49,193,49,255,493,49,492,492,407],"1971","2590.0","1129.0","1224.0","1215.0",[495,496,49,497,498,49,49,185,49,49,498,49,498,498,499],"1970","2469.0","878.0","950.0","0.38",[501,502,49,503,504,49,49,59,49,49,504,49,504,504,407],"1969","2752.0","1205.0","1305.0","巴西-油籽，棉籽-平衡表","收获面积：千公顷；期初库存：千公吨；压榨量：千公吨；国内消费量：千公吨；期末库存：千公吨；出口量：千公吨；国内饲料损耗量：千公吨；国内食品用量：千公吨；进口量：千公吨；产量：千公吨；籽棉比：比例；总流通量：千公吨；总供应量：千公吨；单产：公吨\u002F公顷","美国农业部","主要农产品官方产量、供应与分销（PSD）数据，全称为Production, Supply and Demand，即 “生产、供应与需求” 数据体系，是外国农业服务局（FAS）维护的官方数据库。该数据的国际部分更新由派驻全球美国大使馆的农业专员、美国农业部海外农业服务局（FAS）的农产品分析师以及经济研究局（ERS）的国家与农产品分析师共同提供信息支持。美国国内部分的更新则由海外农业服务局（FAS）、经济研究局（ERS）、国家农业统计局（NASS）以及农场服务局（FSA）的分析师提供信息支持。","年度"]