[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f3po14708kw6f7":3},{"msg":4,"code":5,"data":6},"操作成功",200,{"column_ids":7,"column_names":11,"data_list":15,"table_name":643,"units":644,"source":645,"description":646,"frequency":647},[8,9,10],"ts","ai:nass_agpr_Prices Paid for Feeder Livestock – United States:Feeder cattle & calves","ai:nass_agpr_Prices Paid for Feeder Livestock – United States:Feeder pigs",[12,13,14],"时间","肥育牛与犊牛","肥育仔猪",[16,19,23,27,31,35,39,43,47,51,55,59,63,67,71,75,79,83,87,91,95,99,103,106,109,113,117,121,125,129,132,135,139,143,146,150,154,157,160,164,168,172,176,180,183,187,190,194,198,201,205,209,213,217,220,223,226,229,233,236,240,243,247,250,253,255,259,262,265,269,273,276,280,284,287,291,295,297,300,304,306,309,313,315,317,320,322,326,328,331,335,338,341,344,346,348,350,354,357,361,364,367,370,373,375,377,380,382,384,386,389,392,396,400,403,406,408,410,413,416,419,421,424,426,429,432,436,439,443,447,451,454,457,459,461,464,467,470,474,477,481,485,489,493,497,501,505,509,512,515,519,522,525,529,533,537,541,545,548,552,555,558,562,566,570,574,578,582,585,588,592,596,600,603,606,610,614,617,620,623,626,629,632,635,639],[17,18,18],"2026-05","仅会员",[20,21,22],"2026-04","418.0","303.0",[24,25,26],"2026-03","404.0","311.0",[28,29,30],"2026-02","411.0","310.0",[32,33,34],"2026-01","403.0","271",[36,37,38],"2025-12","383.0","214",[40,41,42],"2025-11","377.0","200",[44,45,46],"2025-10","405.0","197",[48,49,50],"2025-08","370.0","180",[52,53,54],"2025-07","348.0","203",[56,57,58],"2025-06","334.0","216",[60,61,62],"2025-05","330.0","198",[64,65,66],"2025-04","321.0","213",[68,69,70],"2025-03","306.0","256",[72,73,74],"2025-02","297.0","276",[76,77,78],"2025-01","298.0","255",[80,81,82],"2024-12","288.0","211",[84,85,86],"2024-11","277.0","173",[88,89,90],"2024-10","267.0","145",[92,93,94],"2024-09","245.0","135",[96,97,98],"2024-08","249.0","120",[100,101,102],"2024-07","265.0","110",[104,89,105],"2024-06","140",[107,101,108],"2024-05","171",[110,111,112],"2024-04","264.0","236",[114,115,116],"2024-03","269.0","229",[118,119,120],"2024-01","246.0","116",[122,123,124],"2023-12","232.0","113",[126,127,128],"2023-11","244.0","96",[130,131,128],"2023-10","250.0",[133,119,134],"2023-09","91",[136,137,138],"2023-08","242.0","72",[140,141,142],"2023-07","236.0","88",[144,145,134],"2023-06","228.0",[147,148,149],"2023-05","216.0","108",[151,152,153],"2023-04","211.0","154",[155,156,66],"2023-03","199.0",[158,159,82],"2023-02","189.0",[161,162,163],"2023-01","183.0","221",[165,166,167],"2022-12","180.0","176",[169,170,171],"2022-11","178.0","146",[173,174,175],"2022-10","175.0","126",[177,178,179],"2022-09","174.0","144",[181,178,182],"2022-08","165",[184,185,186],"2022-07","167.0","168",[188,189,186],"2022-06","162.0",[191,192,193],"2022-05","159.0","192",[195,196,197],"2022-04","160.0","268",[199,196,200],"2022-03","292",[202,203,204],"2022-02","166.0","284",[206,207,208],"2022-01","163.0","226",[210,211,212],"2021-12","161.0","187",[214,215,216],"2021-11","155.0","170",[218,215,219],"2021-10","177",[221,222,86],"2021-09","150.0",[224,225,153],"2021-08","152.0",[227,228,153],"2021-07","149.0",[230,231,232],"2021-06","142.0","174",[234,235,54],"2021-05","137.0",[237,238,239],"2021-04","144.0","243",[241,242,208],"2021-03","140.0",[244,245,246],"2021-02","141.0","194",[248,249,186],"2021-01","139.0",[251,231,252],"2020-12","143",[254,231,98],"2020-11",[256,257,258],"2020-10","138.0","111",[260,257,261],"2020-09","86",[263,249,264],"2020-08","45",[266,267,268],"2020-07","135.0","34",[270,271,272],"2020-06","132.0","33",[274,275,264],"2020-05","130.0",[277,278,279],"2020-04","126.0","56",[281,282,283],"2020-03","136.0","127",[285,286,90],"2020-02","145.0",[288,289,290],"2020-01","148.0","160",[292,293,294],"2019-12","143.0","136",[296,293,124],"2019-11",[298,242,299],"2019-10","106",[301,302,303],"2019-09","134.0","97",[305,267,134],"2019-08",[307,235,308],"2019-07","123",[310,311,312],"2019-06","133.0","149",[314,245,82],"2019-05",[316,228,239],"2019-04",[318,286,319],"2019-03","185",[321,286,216],"2019-02",[323,324,325],"2019-01","146.0","175",[327,222,258],"2018-11",[329,215,330],"2018-10","100",[332,333,334],"2018-09","151.0","70",[336,289,337],"2018-08","50",[339,324,340],"2018-07","67",[342,238,343],"2018-06","102",[345,231,252],"2018-05",[347,293,182],"2018-04",[349,289,46],"2018-03",[351,352,353],"2018-02","153.0","210",[355,225,356],"2018-01","204",[358,359,360],"2017-12","154.0","181",[362,363,105],"2017-11","158.0",[365,366,124],"2017-10","157.0",[368,228,369],"2017-09","93",[371,293,372],"2017-08","99",[374,228,283],"2017-07",[376,222,175],"2017-06",[378,228,379],"2017-05","133",[381,231,312],"2017-04",[383,267,212],"2017-03",[385,271,50],"2017-02",[387,267,388],"2017-01","167",[390,391,98],"2016-12","131.0",[393,394,395],"2016-11","127.0","81",[397,398,399],"2016-10","121.0","54",[401,402,138],"2016-09","129.0",[404,231,405],"2016-08","73",[407,257,134],"2016-07",[409,231,175],"2016-06",[411,412,290],"2016-05","147.0",[414,215,415],"2016-04","188",[417,207,418],"2016-03","195",[420,189,415],"2016-02",[422,423,388],"2016-01","164.0",[425,211,175],"2015-12",[427,428,124],"2015-11","186.0",[430,156,431],"2015-10","117",[433,434,435],"2015-09","197.0","103",[437,438,142],"2015-08","219.0",[440,441,442],"2015-07","227.0","95",[444,445,446],"2015-06","238.0","118",[448,449,450],"2015-05","233.0","157",[452,449,453],"2015-04","161",[455,441,456],"2015-03","172",[458,438,325],"2015-02",[460,123,42],"2015-01",[462,131,463],"2014-12","217",[465,466,356],"2014-11","257.0",[468,469,353],"2014-10","252.0",[471,472,473],"2014-09","234.0","199",[475,145,476],"2014-08","242",[478,479,480],"2014-07","222.0","293",[482,483,484],"2014-06","206.0","280",[486,487,488],"2014-05","193.0","308",[490,491,492],"2014-04","187.2","333",[494,495,496],"2014-03","178.2","281",[498,499,500],"2014-02","176.3","235",[502,503,504],"2014-01","170.7","215",[506,507,508],"2013-12","170.0","191",[510,511,232],"2013-11","167.3",[513,514,179],"2013-10","155.6",[516,517,518],"2013-09","151.7","134",[520,521,175],"2013-08","142.9",[523,524,98],"2013-07","134.7",[526,527,528],"2013-06","133.3","132",[530,531,532],"2013-05","137.1","142",[534,535,536],"2013-04","137.7","152",[538,539,540],"2013-03","144.4","184",[542,543,544],"2013-02","149.7","179",[546,547,290],"2013-01","149.3",[549,550,551],"2012-12","148.5","158",[553,554,283],"2012-11","147.5",[556,554,557],"2012-10","64",[559,560,561],"2012-09","143.8","40",[563,564,565],"2012-08","135.8","46",[567,568,569],"2012-07","138.4","71",[571,572,573],"2012-06","154.7","121",[575,576,577],"2012-05","152.4","129",[579,580,581],"2012-04","155.3","166",[583,584,54],"2012-03","159.6",[586,587,54],"2012-02","158.4",[589,590,591],"2012-01","151.4","178",[593,594,595],"2011-12","145.4","153",[597,598,599],"2011-11","142.5","131",[601,602,435],"2011-10","131.8",[604,605,372],"2011-09","127.6",[607,608,609],"2011-08","129.4","101",[611,612,613],"2011-07","135.5","119",[615,616,124],"2011-06","123.2",[618,619,532],"2011-05","130.2",[621,622,415],"2011-04","136.4",[624,625,54],"2011-03","132.1",[627,628,42],"2011-02","127.5",[630,631,544],"2011-01","124.7",[633,634,312],"2010-12","118.2",[636,637,638],"2010-11","112.2","128",[640,641,642],"2010-10","107.6","138","美国饲养牲畜采购价格","美元\u002F英担","美国农业部","美国农业部国家农业统计局（NASS）发布的美国农产品价格相关专业数据，涵盖农民获得的主要农作物、畜禽及畜禽产品价格，还有农民售物价指数、饲料价格比、农民购物价指数和比价等。注：（D） 为避免泄露单个经营主体的数据，已予以保密；（S） 报告样本数量不足，无法形成估算值；（NA） 无可用数据。","月度"]