[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f9curfnnm3r1c":3},{"msg":4,"code":5,"data":6},"操作成功",200,{"column_ids":7,"column_names":23,"data_list":39,"table_name":447,"units":448,"source":449,"description":450,"frequency":451},[8,9,10,11,12,13,14,15,16,17,18,19,20,21,22],"ts","ai:psd_BalanceSheet_Meal,Cottonseed_India:期初库存","ai:psd_BalanceSheet_Meal,Cottonseed_India:压榨量","ai:psd_BalanceSheet_Meal,Cottonseed_India:国内消费量","ai:psd_BalanceSheet_Meal,Cottonseed_India:期末库存","ai:psd_BalanceSheet_Meal,Cottonseed_India:出口量","ai:psd_BalanceSheet_Meal,Cottonseed_India:提取率，999.9999","ai:psd_BalanceSheet_Meal,Cottonseed_India:国内饲料损耗量","ai:psd_BalanceSheet_Meal,Cottonseed_India:国内食品用量","ai:psd_BalanceSheet_Meal,Cottonseed_India:进口量","ai:psd_BalanceSheet_Meal,Cottonseed_India:国内工业用量","ai:psd_BalanceSheet_Meal,Cottonseed_India:产量","ai:psd_BalanceSheet_Meal,Cottonseed_India:小规模加工企业用量","ai:psd_BalanceSheet_Meal,Cottonseed_India:总流通量","ai:psd_BalanceSheet_Meal,Cottonseed_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",[40,49,53,60,69,77,85,94,103,110,118,127,135,140,146,152,159,166,173,180,187,194,200,207,213,219,226,232,237,244,250,256,262,268,275,281,287,295,302,309,316,323,331,339,346,353,361,369,376,383,391,399,406,414,421,428,435,442],[41,42,43,44,42,45,46,44,42,45,42,44,47,48,48],"2026","0.0","9000.0","4208.0","20.0","0.468","3409.742","4228.0",[50,42,43,44,42,45,51,44,42,45,42,44,52,48,48],"2025","0.47","3409.74",[54,42,43,55,42,56,51,55,42,57,42,44,58,59,59],"2024","4248.0","15.0","55.0","3442.15","4263.0",[61,42,62,63,42,64,51,63,42,65,42,66,67,68,68],"2023","9400.0","4409.0","16.0","30.0","4395.0","3572.61","4425.0",[70,42,71,72,42,45,51,72,42,73,42,74,75,76,76],"2022","9500.0","4443.0","22.0","4441.0","3600.16","4463.0",[78,42,43,79,42,80,51,79,42,81,42,82,83,84,84],"2021","4238.0","28.0","59.0","4207.0","3434.05","4266.0",[86,42,87,88,42,89,51,88,42,90,42,91,92,93,93],"2020","9750.0","4584.0","26.0","52.0","4558.0","3714.42","4610.0",[95,42,96,97,42,98,51,97,42,99,42,100,101,102,102],"2019","9650.0","4523.0","32.0","44.0","4511.0","3664.99","4555.0",[104,42,105,106,42,98,51,106,42,65,42,107,108,109,109],"2018","8500.0","3973.0","3975.0","3219.32","4005.0",[111,42,112,113,42,114,51,113,42,56,42,115,116,117,117],"2017","9200.0","4277.0","39.0","4301.0","3465.65","4316.0",[119,42,120,121,42,122,51,121,42,123,42,124,125,126,126],"2016","8100.0","3725.0","64.0","2.0","3787.0","3018.37","3789.0",[128,42,129,130,42,131,51,130,42,123,42,132,133,134,134],"2015","8550.0","3959.0","40.0","3997.0","3207.98","3999.0",[136,42,112,137,42,138,51,137,42,42,42,115,139,115,115],"2014","4250.0","51.0","3443.78",[141,42,142,143,42,114,51,143,42,42,42,144,145,144,144],"2013","9100.0","4230.0","4269.0","3427.57",[147,42,105,148,42,149,51,148,42,42,42,150,151,150,150],"2012","3957.0","33.0","3990.0","3206.36",[153,42,154,155,42,156,51,155,42,42,42,157,158,157,157],"2011","8400.0","3927.0","13.0","3940.0","3182.05",[160,42,161,162,42,163,51,162,42,42,42,164,165,164,164],"2010","8000.0","3694.0","56.0","3750.0","2993.25",[167,42,168,169,42,170,51,169,42,42,42,171,172,171,171],"2009","7300.0","3425.0","4.0","3429.0","2775.28",[174,42,175,176,42,177,51,176,42,42,42,178,179,178,178],"2008","7200.0","3379.0","1.0","3380.0","2738.0",[181,42,182,183,42,184,51,183,42,42,42,185,186,185,185],"2007","7415.0","3475.0","5.0","3480.0","2815.79",[188,42,189,190,42,191,51,190,42,42,42,192,193,192,192],"2006","6580.0","3084.0","6.0","3090.0","2498.97",[195,42,196,197,42,191,51,197,42,42,42,198,199,198,198],"2005","5965.0","2794.0","2800.0","2263.98",[201,42,202,203,42,204,51,203,42,42,42,205,206,205,205],"2004","5900.0","2769.0","3.0","2772.0","2243.72",[208,42,209,210,42,177,51,210,42,42,42,211,212,211,211],"2003","4325.0","2031.0","2032.0","1645.72",[214,42,215,216,42,177,51,216,42,42,42,217,218,217,217],"2002","3407.0","1600.0","1601.0","1296.48",[220,42,221,222,42,223,42,222,42,42,42,224,225,224,224],"2001","3842.0","1798.0","7.0","1805.0","1456.92",[227,42,228,229,42,177,42,229,42,42,42,230,231,230,230],"2000","3705.0","1740.0","1741.0","1409.92",[233,42,234,235,42,42,42,235,42,42,42,235,236,235,235],"1999","3930.0","1850.0","1499.06",[238,42,239,240,42,241,42,240,42,42,42,242,243,242,242],"1998","4183.0","1935.0","35.0","1970.0","1567.93",[245,42,246,247,42,56,42,247,42,42,42,248,249,248,248],"1997","4000.0","1865.0","1880.0","1511.21",[251,42,252,253,42,56,42,253,42,42,42,254,255,254,254],"1996","4630.0","2185.0","2200.0","1770.51",[257,42,258,259,42,45,42,259,42,42,42,260,261,260,260],"1995","4450.0","2080.0","2100.0","1685.42",[263,42,264,265,42,56,42,265,42,42,42,266,267,266,266],"1994","3500.0","1555.0","1570.0","1260.02",[269,42,270,271,42,272,42,271,42,42,42,273,274,273,273],"1993","3045.0","1346.0","25.0","1371.0","1090.66",[276,42,277,278,42,272,42,278,42,42,42,279,280,279,279],"1992","3598.0","1594.0","1619.0","1291.62",[282,42,283,284,42,177,42,284,42,42,42,285,286,285,285],"1991","2965.0","1333.0","1334.0","1080.13",[288,42,289,290,42,291,292,290,42,42,42,293,294,293,293],"1990","2900.0","1290.0","10.0","4483.0","1300.0","1045.29",[296,42,297,298,42,272,299,298,42,42,42,300,301,300,300],"1989","3100.0","1370.0","4500.0","1395.0","1110.11",[303,42,304,305,42,272,306,305,42,42,42,307,308,307,307],"1988","2449.0","1114.0","4651.0","1139.0","902.67",[310,42,311,312,42,45,313,312,42,42,42,314,315,314,314],"1987","2028.0","913.0","4601.0","933.0","739.8",[317,42,318,319,42,272,320,319,42,42,42,321,322,321,321],"1986","2048.0","917.0","4600.0","942.0","743.05",[324,42,325,326,42,327,328,326,42,42,42,329,330,329,329],"1985","2370.0","1026.0","74.0","4641.0","1100.0","831.37",[332,42,333,334,42,335,336,334,42,42,42,337,338,337,337],"1984","2258.0","970.0","80.0","4650.0","1050.0","785.99",[340,42,341,342,42,343,336,342,42,42,42,344,345,344,344],"1983","1731.0","715.0","90.0","805.0","579.36",[347,42,348,349,42,350,306,349,42,42,42,351,352,351,351],"1982","1918.0","702.0","190.0","892.0","568.83",[354,42,355,356,42,357,358,356,42,42,42,359,360,359,359],"1981","1790.0","622.0","210.0","4648.0","832.0","504.01",[362,42,363,364,42,365,366,364,42,42,42,367,368,367,367],"1980","1629.0","532.0","225.0","4647.0","757.0","431.08",[370,42,371,372,42,373,306,372,42,42,42,374,375,374,374],"1979","1707.0","634.0","160.0","794.0","513.73",[377,42,378,379,42,380,358,379,42,42,42,381,382,381,381],"1978","1465.0","445.0","236.0","681.0","360.58",[384,42,385,386,42,387,388,386,42,42,42,389,390,389,389],"1977","1326.0","450.0","167.0","4653.0","617.0","364.64",[392,42,393,394,42,395,396,394,42,42,42,397,398,397,397],"1976","1244.0","385.0","193.0","4646.0","578.0","311.97",[400,42,401,402,42,403,358,402,42,42,42,404,405,404,404],"1975","1577.0","599.0","134.0","733.0","485.37",[407,42,408,409,42,410,411,409,42,42,42,412,413,412,412],"1974","1496.0","504.0","192.0","4652.0","696.0","408.39",[415,42,416,417,42,418,366,417,42,42,42,419,420,419,419],"1973","1474.0","539.0","146.0","685.0","436.75",[422,42,423,424,42,425,388,424,42,42,42,426,427,426,426],"1972","1498.0","441.0","256.0","697.0","357.34",[429,42,430,431,42,432,358,431,42,42,42,433,434,433,433],"1971","1605.0","638.0","108.0","746.0","516.97",[436,42,437,438,42,439,336,438,42,42,42,440,441,440,440],"1970","1185.0","486.0","65.0","551.0","393.81",[443,42,444,438,42,445,336,438,42,42,42,446,441,446,446],"1969","1273.0","106.0","592.0","印度-棉籽粕-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"]