[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fnek10vnj81cm":3},{"msg":4,"code":5,"data":6},"操作成功",200,{"column_ids":7,"column_names":22,"data_list":37,"table_name":395,"units":396,"source":397,"description":398,"frequency":399},[8,9,10,11,12,13,14,15,16,17,18,19,20,21],"ts","ai:psd_BalanceSheet_Oilseed,Sunflowerseed_India:收获面积","ai:psd_BalanceSheet_Oilseed,Sunflowerseed_India:期初库存","ai:psd_BalanceSheet_Oilseed,Sunflowerseed_India:压榨量","ai:psd_BalanceSheet_Oilseed,Sunflowerseed_India:国内消费量","ai:psd_BalanceSheet_Oilseed,Sunflowerseed_India:期末库存","ai:psd_BalanceSheet_Oilseed,Sunflowerseed_India:出口量","ai:psd_BalanceSheet_Oilseed,Sunflowerseed_India:国内饲料损耗量","ai:psd_BalanceSheet_Oilseed,Sunflowerseed_India:国内食品用量","ai:psd_BalanceSheet_Oilseed,Sunflowerseed_India:进口量","ai:psd_BalanceSheet_Oilseed,Sunflowerseed_India:产量","ai:psd_BalanceSheet_Oilseed,Sunflowerseed_India:总流通量","ai:psd_BalanceSheet_Oilseed,Sunflowerseed_India:总供应量","ai:psd_BalanceSheet_Oilseed,Sunflowerseed_India:单产",[23,24,25,26,27,28,29,30,31,32,33,34,35,36],"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","总流通量","总供应量","单产",[38,50,57,64,72,82,91,99,104,112,121,131,138,145,154,163,171,179,187,194,201,209,216,224,231,238,245,251,258,262,265,270,274,280,285,291,297,304,310,317,323,330,335,340,346,351,356,360,365,370,375,379,383,387,391],[39,40,41,42,43,41,44,45,41,46,47,48,48,49],"2026","180.0","0.0","100.0","122.0","1.0","22.0","10.0","113.0","123.0","0.628",[51,40,41,42,52,41,44,53,41,54,47,55,55,56],"2025","118.0","18.0","6.0","119.0","0.63",[58,40,41,59,60,41,44,61,41,62,47,63,63,56],"2024","95.0","120.0","25.0","8.0","121.0",[65,66,41,59,67,41,68,69,41,54,70,52,52,71],"2023","150.0","116.0","2.0","21.0","112.0","0.75",[73,74,41,75,76,41,68,77,41,78,79,80,80,81],"2022","364.0","190.0","217.0","27.0","4.0","215.0","219.0","0.59",[83,84,41,85,86,41,44,87,41,78,88,89,89,90],"2021","271.0","110.0","143.0","33.0","140.0","144.0","0.52",[92,93,41,94,95,41,44,45,41,96,66,97,97,98],"2020","226.0","130.0","152.0","3.0","153.0","0.66",[100,101,41,60,102,41,44,45,41,96,88,86,86,103],"2019","228.0","142.0","0.61",[105,106,41,107,108,41,68,53,41,96,109,110,110,111],"2018","263.0","155.0","173.0","172.0","175.0","0.65",[113,114,41,115,116,41,96,117,41,68,118,119,119,120],"2017","284.0","200.0","229.0","29.0","230.0","232.0","0.81",[122,123,41,124,125,41,126,127,41,68,128,129,129,130],"2016","390.0","280.0","315.0","5.0","35.0","318.0","320.0","0.82",[132,133,41,124,134,41,96,135,41,68,136,137,137,98],"2015","487.0","322.0","42.0","323.0","325.0",[139,140,41,136,141,41,54,142,41,44,143,144,144,111],"2014","590.0","378.0","55.0","383.0","384.0",[146,147,41,148,149,41,78,150,41,44,151,152,152,153],"2013","672.0","495.0","577.0","82.0","580.0","581.0","0.86",[155,156,41,157,158,41,126,159,41,68,160,161,161,162],"2012","831.0","535.0","612.0","77.0","615.0","617.0","0.74",[164,165,41,166,167,41,78,168,41,41,169,169,169,170],"2011","732.0","540.0","616.0","76.0","620.0","0.85",[172,173,41,174,175,41,54,176,41,41,177,177,177,178],"2010","929.0","550.0","649.0","99.0","655.0","0.71",[180,181,41,182,183,41,78,184,41,41,185,185,185,186],"2009","1477.0","890.0","986.0","96.0","990.0","0.67",[188,189,41,190,191,41,54,59,41,44,192,193,193,56],"2008","1813.0","1050.0","1145.0","1150.0","1151.0",[195,196,41,197,198,41,78,176,41,41,199,199,199,200],"2007","1912.0","1357.0","1456.0","1460.0","0.76",[202,203,41,204,205,41,78,206,41,126,207,208,208,162],"2006","2165.0","1497.0","1601.0","104.0","1600.0","1605.0",[210,211,41,212,213,41,44,206,41,41,214,214,214,215],"2005","2340.0","1515.0","1619.0","1620.0","0.69",[217,218,41,219,220,41,96,221,41,41,222,222,222,223],"2004","2161.0","1476.0","1577.0","101.0","1580.0","0.73",[225,226,41,227,228,41,68,229,41,41,230,230,230,103],"2003","2800.0","1540.0","1698.0","158.0","1700.0",[232,233,41,234,235,41,68,48,41,41,236,236,236,237],"2002","2700.0","1500.0","1623.0","1625.0","0.6",[239,240,41,241,242,41,44,243,41,41,244,244,244,237],"2001","2400.0","1325.0","1449.0","124.0","1450.0",[246,247,41,192,248,41,44,176,41,41,249,249,249,250],"2000","2200.0","1249.0","1250.0","0.57",[252,253,41,254,255,41,68,256,41,41,257,257,257,250],"1999","2300.0","1200.0","1298.0","98.0","1300.0",[259,247,41,260,254,41,41,42,41,41,254,254,254,261],"1998","1100.0","0.55",[263,264,41,190,192,41,41,42,41,41,192,192,192,261],"1997","2100.0",[266,267,41,268,269,41,41,42,41,41,269,269,269,98],"1996","1995.0","1215.0","1315.0",[271,272,41,257,273,41,41,42,41,41,273,273,273,111],"1995","2170.0","1400.0",[275,276,41,277,278,41,41,279,41,41,278,278,278,103],"1994","1970.0","1120.0","1204.0","84.0",[281,282,41,283,273,41,41,284,41,41,273,273,273,90],"1993","2677.0","1310.0","90.0",[286,287,41,288,289,41,41,290,41,41,289,289,289,250],"1992","2093.0","1110.0","1185.0","75.0",[292,293,41,294,295,41,41,290,41,41,295,295,295,296],"1991","2114.0","1119.0","1194.0","0.56",[298,299,41,300,301,41,41,302,41,41,301,301,301,303],"1990","1633.0","813.0","873.0","60.0","0.53",[305,306,41,307,308,41,41,309,41,41,308,308,308,303],"1989","1192.0","585.0","631.0","46.0",[311,312,41,313,314,41,41,315,41,41,314,314,314,316],"1988","1104.0","350.0","370.0","20.0","0.34",[318,319,41,320,321,41,41,127,41,41,321,321,321,322],"1987","1651.0","600.0","635.0","0.38",[324,325,41,326,327,41,41,328,41,41,327,327,327,329],"1986","992.0","421.0","436.0","15.0","0.44",[331,332,41,333,124,41,41,46,41,41,124,124,124,334],"1985","750.0","270.0","0.37",[336,337,41,338,339,41,41,46,41,41,339,339,339,303],"1984","835.0","430.0","440.0",[341,342,41,343,344,41,41,46,41,41,344,344,344,345],"1983","696.0","290.0","300.0","0.43",[347,348,41,349,118,41,41,62,41,41,118,118,118,350],"1982","462.0","222.0","0.5",[352,353,41,354,355,41,41,126,41,41,355,355,355,296],"1981","282.0","154.0","159.0",[357,55,41,358,359,41,41,96,41,41,359,359,359,261],"1980","63.0","66.0",[361,362,41,363,364,41,41,44,41,41,364,364,364,90],"1979","61.0","31.0","32.0",[366,367,41,368,142,41,41,44,41,41,142,142,142,369],"1978","107.0","54.0","0.51",[371,372,41,373,374,41,41,44,41,41,374,374,374,350],"1977","105.0","51.0","52.0",[376,42,41,377,378,41,41,44,41,41,378,378,378,350],"1976","49.0","50.0",[380,59,41,309,381,41,41,44,41,41,381,381,381,382],"1975","47.0","0.49",[384,284,41,385,386,41,41,44,41,41,386,386,386,350],"1974","44.0","45.0",[388,389,41,390,135,41,41,44,41,41,135,135,135,382],"1973","85.0","41.0",[392,393,41,394,127,41,41,44,41,41,127,127,127,329],"1972","80.0","34.0","印度-油籽，葵花籽-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；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"]