[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f7vqtcrg7t733":3},{"msg":4,"code":5,"data":6},"操作成功",200,{"column_ids":7,"column_names":23,"data_list":39,"table_name":399,"units":400,"source":401,"description":402,"frequency":403},[8,9,10,11,12,13,14,15,16,17,18,19,20,21,22],"ts","ai:psd_BalanceSheet_Meal,Sunflowerseed_India:期初库存","ai:psd_BalanceSheet_Meal,Sunflowerseed_India:压榨量","ai:psd_BalanceSheet_Meal,Sunflowerseed_India:国内消费量","ai:psd_BalanceSheet_Meal,Sunflowerseed_India:期末库存","ai:psd_BalanceSheet_Meal,Sunflowerseed_India:出口量","ai:psd_BalanceSheet_Meal,Sunflowerseed_India:提取率，999.9999","ai:psd_BalanceSheet_Meal,Sunflowerseed_India:国内饲料损耗量","ai:psd_BalanceSheet_Meal,Sunflowerseed_India:国内食品用量","ai:psd_BalanceSheet_Meal,Sunflowerseed_India:进口量","ai:psd_BalanceSheet_Meal,Sunflowerseed_India:国内工业用量","ai:psd_BalanceSheet_Meal,Sunflowerseed_India:产量","ai:psd_BalanceSheet_Meal,Sunflowerseed_India:小规模加工企业用量","ai:psd_BalanceSheet_Meal,Sunflowerseed_India:总流通量","ai:psd_BalanceSheet_Meal,Sunflowerseed_India:总供应量",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"时间","期初库存","压榨量","国内消费量","期末库存","出口量","提取率，999.9999","国内饲料损耗量","国内食品用量","进口量","国内工业用量","产量","小规模加工企业用量","总流通量","总供应量",[40,49,53,61,66,73,80,89,97,105,114,122,129,135,144,152,161,167,174,181,187,192,198,205,213,220,226,232,238,244,249,256,263,270,276,282,289,296,301,308,313,318,325,332,340,346,354,360,367,371,376,380,384,390,393],[41,42,43,44,42,42,45,44,42,46,42,47,48,44,44],"2026","0.0","100.0","124.0","0.49","75.0","49.0","82.708",[50,42,43,51,42,42,45,51,42,43,42,47,52,51,51],"2025","149.0","99.38",[54,42,55,56,42,42,57,56,42,58,42,59,60,56,56],"2024","95.0","126.0","0.48","80.0","46.0","84.04",[62,42,55,63,42,42,57,63,42,64,42,59,65,63,63],"2023","174.0","128.0","116.06",[67,42,68,69,42,42,57,69,42,70,42,71,72,69,69],"2022","190.0","160.0","68.0","92.0","106.72",[74,42,75,76,42,42,57,76,42,77,42,78,79,76,76],"2021","110.0","240.0","187.0","53.0","160.08",[81,42,82,83,42,84,57,83,42,85,42,86,87,88,88],"2020","130.0","166.0","1.0","104.0","63.0","110.72","167.0",[90,42,91,92,42,84,57,92,42,93,42,94,95,96,96],"2019","120.0","398.0","341.0","58.0","265.47","399.0",[98,42,99,100,42,101,57,100,42,102,42,46,103,104,104],"2018","155.0","229.0","2.0","156.0","152.74","231.0",[106,42,107,108,42,109,45,108,42,110,42,111,112,113,113],"2017","200.0","217.0","3.0","123.0","97.0","144.74","220.0",[115,42,116,117,42,101,57,117,42,118,42,119,120,121,121],"2016","280.0","439.0","306.0","135.0","292.81","441.0",[123,42,116,124,42,125,57,124,42,126,42,119,127,128,128],"2015","315.0","4.0","184.0","210.11","319.0",[130,42,131,126,42,125,57,126,42,132,42,102,133,134,134],"2014","323.0","32.0","122.73","188.0",[136,42,137,138,42,139,57,138,42,140,42,141,142,143,143],"2013","495.0","271.0","8.0","41.0","238.0","180.76","279.0",[145,42,146,147,42,148,57,147,42,111,42,149,150,151,151],"2012","535.0","348.0","7.0","258.0","232.12","355.0",[153,42,154,155,42,156,57,155,42,157,42,158,159,160,160],"2011","540.0","278.0","6.0","24.0","260.0","185.43","284.0",[162,42,163,164,42,125,57,164,42,42,42,165,166,165,165],"2010","550.0","261.0","265.0","174.09",[168,42,169,170,42,156,57,170,42,171,42,172,173,117,117],"2009","890.0","433.0","10.0","429.0","288.81",[175,42,176,177,42,178,57,177,42,42,42,179,180,179,179],"2008","1050.0","488.0","18.0","506.0","325.5",[182,42,183,184,42,171,57,184,42,42,42,185,186,185,185],"2007","1357.0","643.0","653.0","428.88",[188,42,189,190,42,42,57,190,42,42,42,190,191,190,190],"2006","1497.0","721.0","480.91",[193,42,194,195,42,84,57,195,42,42,42,196,197,196,196],"2005","1515.0","728.0","729.0","485.58",[199,42,200,201,42,202,57,201,42,42,42,203,204,203,203],"2004","1476.0","706.0","5.0","711.0","470.9",[206,42,207,208,42,209,57,208,42,84,42,210,211,212,212],"2003","1540.0","734.0","9.0","742.0","489.58","743.0",[214,42,215,216,42,156,217,216,42,42,42,218,219,218,218],"2002","1500.0","667.0","0.45","673.0","444.89",[221,42,222,223,42,101,42,223,42,42,42,224,225,224,224],"2001","1325.0","588.0","590.0","392.2",[227,42,228,229,42,109,42,229,42,42,42,230,231,230,230],"2000","1150.0","512.0","515.0","341.5",[233,42,234,235,42,202,42,235,42,42,42,236,237,236,236],"1999","1200.0","533.0","538.0","355.51",[239,42,240,241,42,109,42,241,42,42,42,242,243,242,242],"1998","1100.0","487.0","490.0","324.83",[245,42,176,246,42,171,42,246,42,42,42,247,248,247,247],"1997","460.0","470.0","306.82",[250,42,251,252,42,253,42,252,42,42,42,254,255,254,254],"1996","1215.0","523.0","22.0","545.0","348.84",[257,42,258,259,42,260,42,259,42,42,42,261,262,261,261],"1995","1300.0","520.0","65.0","585.0","346.84",[264,42,265,266,42,267,42,266,42,42,42,268,269,268,268],"1994","1120.0","415.0","85.0","500.0","276.81",[271,42,272,273,42,113,274,273,42,42,42,224,275,224,224],"1993","1310.0","370.0","4504.0","246.79",[277,42,278,165,42,76,279,165,42,42,42,280,281,280,280],"1992","1110.0","4550.0","505.0","176.76",[283,42,284,285,42,286,287,285,42,42,42,268,288,268,268],"1991","1119.0","295.0","205.0","4468.0","196.77",[290,42,291,292,42,58,293,292,42,42,42,294,295,294,294],"1990","813.0","285.0","4490.0","365.0","190.1",[297,42,261,68,42,298,299,68,42,42,42,158,300,158,158],"1989","70.0","4444.0","126.73",[302,42,303,304,42,58,305,304,42,42,42,306,307,306,306],"1988","350.0","78.0","4514.0","158.0","52.03",[309,42,310,107,42,260,311,107,42,42,42,165,312,165,165],"1987","600.0","4417.0","133.4",[314,42,315,69,42,316,317,69,42,42,42,68,72,68,68],"1986","421.0","30.0","4513.0",[319,42,320,111,42,321,322,111,42,42,42,323,324,323,323],"1985","270.0","25.0","4519.0","122.0","64.7",[326,42,327,328,42,316,329,328,42,42,42,330,331,330,330],"1984","430.0","164.0","4512.0","194.0","109.39",[333,42,334,335,42,336,337,335,42,42,42,338,339,338,338],"1983","290.0","91.0","40.0","4517.0","131.0","60.7",[341,42,342,336,42,343,344,336,42,42,42,43,345,43,43],"1982","222.0","60.0","4505.0","26.68",[347,42,348,349,42,350,351,349,42,42,42,352,353,352,352],"1981","154.0","54.0","15.0","4481.0","69.0","36.02",[355,42,86,356,42,171,357,356,42,42,42,358,359,358,358],"1980","19.0","4603.0","29.0","12.67",[361,42,362,363,42,109,364,363,42,42,42,365,366,365,365],"1979","31.0","11.0","4516.0","14.0","7.34",[368,42,349,369,42,109,299,369,42,42,42,157,370,157,157],"1978","21.0","14.01",[372,42,373,369,42,101,374,369,42,42,42,375,370,375,375],"1977","51.0","4510.0","23.0",[377,42,47,378,42,101,293,378,42,42,42,253,379,253,253],"1976","20.0","13.34",[381,42,59,178,42,109,382,178,42,42,42,369,383,369,369],"1975","4565.0","12.01",[385,42,386,387,42,109,388,387,42,42,42,378,389,378,378],"1974","44.0","17.0","4545.0","11.34",[391,42,140,387,42,101,392,387,42,42,42,356,389,356,356],"1973","4634.0",[394,42,395,365,42,101,396,365,42,42,42,397,398,397,397],"1972","34.0","4706.0","16.0","9.34","印度-葵花籽粕-平衡表","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；提取率，999.9999：百分比；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；国内工业用量：千公吨；产量：千公吨；小规模加工企业用量：千公吨；总流通量：千公吨；总供应量：千公吨","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"]