[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fw8vjohyivrht":3},{"msg":4,"code":5,"data":6},"操作成功",200,{"column_ids":7,"column_names":23,"data_list":39,"table_name":303,"units":304,"source":305,"description":306,"frequency":307},[8,9,10,11,12,13,14,15,16,17,18,19,20,21,22],"ts","ai:psd_BalanceSheet_Meal,Peanut_Brazil:期初库存","ai:psd_BalanceSheet_Meal,Peanut_Brazil:压榨量","ai:psd_BalanceSheet_Meal,Peanut_Brazil:国内消费量","ai:psd_BalanceSheet_Meal,Peanut_Brazil:期末库存","ai:psd_BalanceSheet_Meal,Peanut_Brazil:出口量","ai:psd_BalanceSheet_Meal,Peanut_Brazil:提取率，999.9999","ai:psd_BalanceSheet_Meal,Peanut_Brazil:国内饲料损耗量","ai:psd_BalanceSheet_Meal,Peanut_Brazil:国内食品用量","ai:psd_BalanceSheet_Meal,Peanut_Brazil:进口量","ai:psd_BalanceSheet_Meal,Peanut_Brazil:国内工业用量","ai:psd_BalanceSheet_Meal,Peanut_Brazil:产量","ai:psd_BalanceSheet_Meal,Peanut_Brazil:小规模加工企业用量","ai:psd_BalanceSheet_Meal,Peanut_Brazil:总流通量","ai:psd_BalanceSheet_Meal,Peanut_Brazil: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",[40,47,53,56,61,63,71,77,83,89,95,101,104,106,111,115,120,124,129,131,136,141,146,150,155,160,165,167,171,173,175,180,182,184,189,191,193,198,203,207,213,220,225,229,235,243,248,252,258,266,272,278,284,290,296],[41,42,43,44,42,42,45,44,42,42,42,44,46,44,44],"2026","0.0","550.0","229.0","0.416","257.396",[48,42,49,50,42,42,51,50,42,42,42,50,52,50,50],"2025","500.0","208.0","0.42","233.79",[54,42,43,44,42,42,51,44,42,42,42,44,55,44,44],"2024","257.4",[57,42,58,59,42,42,51,59,42,42,42,59,60,59,59],"2023","300.0","125.0","140.5",[62,42,58,59,42,42,51,59,42,42,42,59,60,59,59],"2022",[64,42,65,66,42,67,68,66,42,42,42,69,70,69,69],"2021","420.0","173.0","1.0","0.41","174.0","194.45",[72,42,73,74,42,67,51,74,42,42,42,75,76,75,75],"2020","240.0","99.0","100.0","111.28",[78,42,79,80,42,67,51,80,42,42,42,81,82,81,81],"2019","200.0","82.0","83.0","92.17",[84,42,85,86,42,67,68,86,42,42,42,87,88,87,87],"2018","150.0","61.0","62.0","68.56",[90,42,91,92,42,67,68,92,42,42,42,93,94,93,93],"2017","170.0","69.0","70.0","77.56",[96,42,97,98,42,67,68,98,42,42,42,99,100,99,99],"2016","160.0","65.0","66.0","73.06",[102,42,97,99,42,42,68,99,42,42,42,99,103,99,99],"2015","74.18",[105,42,97,99,42,42,68,99,42,42,42,99,103,99,99],"2014",[107,42,108,109,42,42,51,109,42,42,42,109,110,109,109],"2013","130.0","54.0","60.7",[112,42,91,113,42,42,51,113,42,42,42,113,114,113,113],"2012","71.0","79.8",[116,42,117,118,42,42,51,118,42,42,42,118,119,118,118],"2011","135.0","57.0","64.07",[121,42,59,122,42,42,51,122,42,42,42,122,123,122,122],"2010","52.0","58.45",[125,42,126,127,42,42,51,127,42,42,42,127,128,127,127],"2009","120.0","50.0","56.2",[130,42,126,127,42,42,51,127,42,42,42,127,128,127,127],"2008",[132,42,133,134,42,42,68,134,42,42,42,134,135,134,134],"2007","113.0","46.0","51.7",[137,42,138,139,42,42,68,139,42,42,42,139,140,139,139],"2006","97.0","40.0","44.96",[142,42,143,144,42,42,68,144,42,42,42,144,145,144,144],"2005","88.0","36.0","40.46",[147,42,75,148,42,42,68,148,42,42,42,148,149,148,148],"2004","41.0","46.08",[151,42,152,153,42,42,51,153,42,42,42,153,154,153,153],"2003","60.0","25.0","28.1",[156,42,157,158,42,42,42,158,42,42,42,158,159,158,158],"2002","55.0","22.0","24.73",[161,42,152,162,42,67,42,162,42,42,42,163,164,163,163],"2001","23.0","24.0","25.85",[166,42,152,162,42,67,42,162,42,42,42,163,164,163,163],"2000",[168,42,157,169,42,67,42,169,42,42,42,158,170,158,158],"1999","21.0","23.6",[172,42,157,169,42,67,42,169,42,42,42,158,170,158,158],"1998",[174,42,157,169,42,67,42,169,42,42,42,158,170,158,158],"1997",[176,42,127,177,42,67,42,177,42,42,42,178,179,178,178],"1996","19.0","20.0","21.36",[181,42,127,177,42,67,42,177,42,42,42,178,179,178,178],"1995",[183,42,127,177,42,67,42,177,42,42,42,178,179,178,178],"1994",[185,42,127,186,42,187,42,186,42,42,42,178,188,178,178],"1993","15.0","5.0","16.86",[190,42,127,186,42,187,42,186,42,42,42,178,188,178,178],"1992",[192,42,127,186,42,187,42,186,42,42,42,178,188,178,178],"1991",[194,42,127,195,42,196,42,195,42,42,42,178,197,178,178],"1990","17.0","3.0","19.11",[199,42,127,200,42,201,42,200,42,42,42,178,202,178,178],"1989","14.0","6.0","15.74",[204,187,157,163,42,196,42,163,42,42,42,158,205,206,206],"1988","26.98","27.0",[208,209,152,210,187,42,42,210,42,42,42,163,211,212,212],"1987","7.0","26.0","29.22","31.0",[214,215,216,217,209,215,42,217,42,42,42,144,218,219,219],"1986","9.0","95.0","29.0","32.6","45.0",[221,195,222,206,215,153,42,206,42,42,42,223,224,86,86],"1985","116.0","44.0","30.35",[226,42,227,122,195,212,228,122,42,42,42,75,123,75,75],"1984","250.0","4000.0",[230,42,97,231,42,232,233,231,42,42,42,86,234,86,86],"1983","48.0","13.0","3813.0","53.95",[236,42,237,238,42,239,240,238,42,42,42,241,242,241,241],"1982","190.0","35.0","37.0","3789.0","72.0","39.34",[244,42,245,122,42,148,246,122,42,42,42,247,123,247,247],"1981","252.0","3690.0","93.0",[249,42,250,210,42,134,251,210,42,42,42,241,211,241,241],"1980","196.0","3673.0",[253,42,254,98,42,255,256,98,42,42,42,257,100,257,257],"1979","432.0","102.0","3866.0","167.0",[259,42,260,261,42,262,263,261,42,42,42,264,265,264,264],"1978","353.0","51.0","86.0","3881.0","137.0","57.32",[267,42,268,144,42,269,270,144,42,42,42,271,145,271,271],"1977","230.0","53.0","3870.0","89.0",[273,42,274,239,42,231,275,239,42,42,42,276,277,276,276],"1976","220.0","3864.0","85.0","41.59",[279,42,280,281,42,143,282,281,42,42,42,117,283,117,117],"1975","350.0","47.0","3857.0","52.83",[285,42,286,287,42,144,288,287,42,42,42,222,289,222,222],"1974","301.0","80.0","3854.0","89.92",[291,42,292,223,42,293,275,223,42,42,42,294,295,294,294],"1973","308.0","75.0","119.0","49.46",[297,42,298,299,42,287,300,299,42,42,42,301,302,301,301],"1972","401.0","74.0","3840.0","154.0","83.18","巴西-花生粕-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"]