[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f3s3yqkefmehqk":3},{"msg":4,"code":5,"data":6},"操作成功",200,{"column_ids":7,"column_names":23,"data_list":39,"table_name":485,"units":486,"source":487,"description":488,"frequency":489},[8,9,10,11,12,13,14,15,16,17,18,19,20,21,22],"ts","ai:psd_BalanceSheet_Meal,Cottonseed_China:期初库存","ai:psd_BalanceSheet_Meal,Cottonseed_China:压榨量","ai:psd_BalanceSheet_Meal,Cottonseed_China:国内消费量","ai:psd_BalanceSheet_Meal,Cottonseed_China:期末库存","ai:psd_BalanceSheet_Meal,Cottonseed_China:出口量","ai:psd_BalanceSheet_Meal,Cottonseed_China:提取率，999.9999","ai:psd_BalanceSheet_Meal,Cottonseed_China:国内饲料损耗量","ai:psd_BalanceSheet_Meal,Cottonseed_China:国内食品用量","ai:psd_BalanceSheet_Meal,Cottonseed_China:进口量","ai:psd_BalanceSheet_Meal,Cottonseed_China:国内工业用量","ai:psd_BalanceSheet_Meal,Cottonseed_China:产量","ai:psd_BalanceSheet_Meal,Cottonseed_China:小规模加工企业用量","ai:psd_BalanceSheet_Meal,Cottonseed_China:总流通量","ai:psd_BalanceSheet_Meal,Cottonseed_China: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",[40,51,55,63,69,75,83,88,94,100,106,112,116,124,133,141,152,162,171,180,188,196,205,213,222,233,242,250,258,266,273,281,289,297,304,311,318,326,333,340,347,357,367,376,384,393,403,412,421,426,433,438,445,450,457,464,471,478],[41,42,43,44,42,42,45,46,42,47,48,49,50,44,44],"2026","0.0","8000.0","3486.0","0.433","3346.0","20.0","140.0","3466.0","2711.264",[52,42,43,44,42,42,53,46,42,47,48,49,54,44,44],"2025","0.43","2711.26",[56,42,43,57,42,58,53,59,42,60,48,49,61,62,62],"2024","3474.0","2.0","3334.0","10.0","2701.54","3476.0",[64,42,43,65,42,42,53,66,42,67,48,49,68,65,65],"2023","3493.0","3353.0","27.0","2716.94",[70,42,43,71,42,42,53,72,42,73,48,49,74,71,71],"2022","3484.0","3344.0","18.0","2709.64",[76,42,77,78,42,42,53,79,42,80,48,81,82,78,78],"2021","7500.0","3255.0","3115.0","5.0","3250.0","2524.08",[84,42,77,85,42,42,53,86,42,60,48,81,87,85,85],"2020","3260.0","3120.0","2528.14",[89,42,77,90,42,42,53,91,42,92,48,81,93,90,90],"2019","3278.0","3138.0","28.0","2542.72",[95,42,77,96,42,42,53,97,42,98,48,81,99,96,96],"2018","3275.0","3135.0","25.0","2540.29",[101,42,77,102,42,42,53,103,42,104,48,81,105,102,102],"2017","3254.0","3114.0","4.0","2523.27",[107,42,108,109,42,42,53,110,42,42,48,109,111,109,109],"2016","7665.0","3321.0","3181.0","2577.56",[113,42,77,81,42,42,53,114,42,42,48,81,115,81,81],"2015","3110.0","2520.03",[117,42,118,119,42,120,53,121,42,42,48,122,123,122,122],"2014","9600.0","4153.0","6.0","4013.0","4159.0","3251.73",[125,42,126,127,42,128,53,129,42,42,130,131,132,131,131],"2013","10230.0","4399.0","33.0","4249.0","150.0","4432.0","3442.96",[134,42,135,136,42,137,53,138,42,42,130,139,140,139,139],"2012","10770.0","4578.0","94.0","4428.0","4672.0","3588.01",[142,42,143,144,42,145,53,146,42,147,148,149,150,151,151],"2011","10150.0","4338.0","66.0","4190.0","1.0","148.0","4403.0","3395.16","4404.0",[153,42,154,155,42,156,53,157,42,92,158,159,160,161,161],"2010","9707.0","4185.0","49.0","4005.0","180.0","4206.0","3245.25","4234.0",[163,42,164,165,42,166,53,167,42,42,168,169,170,169,169],"2009","10080.0","4286.0","82.0","4166.0","120.0","4368.0","3375.71",[172,42,173,174,42,175,53,176,42,42,177,178,179,178,178],"2008","11016.0","4687.0","79.0","4542.0","145.0","4766.0","3680.38",[181,42,182,183,42,184,53,185,42,42,177,186,187,186,186],"2007","11220.0","4820.0","55.0","4675.0","4875.0","3788.15",[189,42,190,191,42,192,53,193,42,42,177,194,195,194,194],"2006","10742.0","4630.0","40.0","4485.0","4670.0","3634.2",[197,42,198,199,42,200,201,202,42,42,48,203,204,203,203],"2005","9100.0","3930.0","35.0","0.44","3790.0","3965.0","3071.04",[206,42,207,208,42,209,53,210,42,42,48,211,212,211,211],"2004","9470.0","4026.0","69.0","3886.0","4095.0","3148.83",[214,42,215,216,42,217,201,218,42,219,168,220,221,72,72],"2003","7610.0","3269.0","75.0","3149.0","12.0","3332.0","2551.63",[223,42,224,225,42,226,201,227,42,228,229,230,231,232,232],"2002","7975.0","3387.0","110.0","3287.0","7.0","100.0","3490.0","2663.46","3497.0",[234,42,235,236,42,237,42,238,42,42,239,240,241,240,240],"2001","7650.0","3182.0","168.0","3057.0","125.0","3350.0","2477.09",[243,42,244,245,42,246,42,247,42,42,229,248,249,248,248],"2000","6170.0","2604.0","96.0","2504.0","2700.0","2028.99",[251,42,252,253,42,254,42,255,42,42,217,256,257,256,256],"1999","5900.0","2438.0","147.0","2363.0","2585.0","1914.74",[259,42,260,261,42,262,42,263,42,42,229,264,265,264,264],"1998","6720.0","2872.0","73.0","2772.0","2945.0","2246.15",[267,42,268,269,42,229,42,270,42,42,229,271,272,271,271],"1997","6750.0","2861.0","2761.0","2961.0","2237.24",[274,42,275,276,42,277,42,278,42,42,229,279,280,279,279],"1996","6047.0","2534.0","308.0","2434.0","2842.0","1972.27",[282,42,283,284,42,285,42,286,42,42,130,287,288,287,287],"1995","6863.0","2819.0","407.0","2669.0","3226.0","2162.69",[290,42,291,292,42,293,42,168,42,42,294,295,296,295,295],"1994","6360.0","2513.0","500.0","2393.0","3013.0","97.24",[298,42,299,300,42,301,42,168,42,42,302,303,296,303,303],"1993","5516.0","2088.0","525.0","1968.0","2613.0",[305,42,306,307,42,308,42,168,42,42,309,310,296,310,310],"1992","6200.0","1966.0","950.0","1846.0","2916.0",[312,42,313,279,42,314,42,48,42,42,315,316,317,316,316],"1991","7781.0","793.0","2702.0","3635.0","113.44",[319,42,320,321,42,322,42,226,42,42,323,324,325,324,324],"1990","5871.0","2072.0","670.0","1962.0","2742.0","89.13",[327,42,328,329,42,330,42,226,42,42,331,332,325,332,332],"1989","4652.0","1522.0","650.0","1412.0","2172.0",[334,42,335,336,42,337,42,226,42,42,338,339,325,339,339],"1988","5250.0","1733.0","718.0","1623.0","2451.0",[341,42,342,343,42,344,194,226,42,42,345,346,325,346,346],"1987","5375.0","2046.0","464.0","1936.0","2510.0",[348,42,349,350,42,351,352,353,42,42,354,355,356,355,355],"1986","4468.0","1711.0","375.0","4669.0","85.0","1626.0","2086.0","68.88",[358,42,359,360,42,361,362,363,42,42,364,365,366,365,365],"1985","5245.0","1982.0","450.0","4637.0","99.0","1883.0","2432.0","80.22",[368,42,369,370,42,371,194,372,42,42,373,374,375,374,374],"1984","7900.0","3538.0","151.0","177.0","3361.0","3689.0","143.42",[377,42,378,379,42,168,194,380,42,42,381,382,383,382,382],"1983","5814.0","2595.0","130.0","2465.0","2715.0","105.34",[385,42,386,387,42,388,194,389,42,42,390,391,392,391,391],"1982","4520.0","2034.0","77.0","102.0","1932.0","2111.0","82.65",[394,42,395,396,42,397,398,399,42,42,400,401,402,401,401],"1981","3725.0","1717.0","22.0","4668.0","86.0","1631.0","1739.0","69.69",[404,42,405,406,42,407,352,408,42,42,409,410,411,410,410],"1980","3369.0","1557.0","16.0","78.0","1479.0","1573.0","63.2",[413,42,414,415,42,73,416,417,42,42,418,419,420,419,419],"1979","2777.0","1279.0","4671.0","64.0","1215.0","1297.0","51.86",[422,42,423,424,42,42,352,417,42,42,425,424,420,424,424],"1978","2763.0","1290.0","1226.0",[427,42,428,429,42,42,416,430,42,42,431,429,432,429,429],"1977","2612.0","1220.0","61.0","1159.0","49.43",[434,42,435,436,42,42,194,430,42,42,437,436,432,436,436],"1976","2621.0","1224.0","1163.0",[439,42,440,441,42,42,416,442,42,42,443,441,444,441,441],"1975","3036.0","1418.0","71.0","1347.0","57.53",[446,42,91,447,42,42,352,262,42,42,448,447,449,447,447],"1974","1465.0","1392.0","59.15",[451,42,452,453,42,42,352,454,42,42,455,453,456,453,453],"1973","3266.0","1525.0","76.0","1449.0","61.58",[458,42,459,460,42,42,194,461,42,42,462,460,463,460,460],"1972","2497.0","1166.0","58.0","1108.0","47.0",[465,42,466,467,42,42,139,468,42,42,469,467,470,467,467],"1971","2684.0","1254.0","63.0","1191.0","51.05",[472,42,473,474,42,42,416,475,42,42,476,474,477,474,474],"1970","2903.0","1356.0","68.0","1288.0","55.1",[479,42,480,481,42,42,194,482,42,42,483,481,484,481,481],"1969","2651.0","1238.0","62.0","1176.0","50.24","中国-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"]