[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f4jfq3eyvzz51":3},{"msg":4,"code":5,"data":6},"操作成功",200,{"column_ids":7,"column_names":11,"data_list":15,"table_name":506,"units":507,"source":508,"description":509,"frequency":510},[8,9,10],"ts","ai:nass_agpr_Prices Received for Flaxseed – States and United States:United States","ai:nass_agpr_Prices Received for Flaxseed – States and United States:North Dakota",[12,13,14],"时间","美国","北达科他州",[16,19,22,25,28,31,34,37,40,43,46,49,52,55,58,61,64,67,70,72,74,76,78,80,82,85,88,90,92,94,96,98,101,104,106,109,111,114,117,120,123,126,129,132,135,138,141,144,147,150,153,156,159,162,165,168,171,174,177,180,183,186,189,191,194,197,200,203,206,208,211,214,217,219,222,225,228,231,234,237,239,242,245,248,251,253,256,259,261,263,265,268,271,274,276,279,281,284,287,290,293,296,299,302,305,308,311,314,317,320,323,326,329,332,335,338,341,344,347,350,353,356,359,362,365,368,370,373,375,378,380,382,384,386,388,390,393,395,397,400,403,406,408,411,414,416,418,421,424,426,429,431,434,436,439,441,444,446,448,451,453,455,457,460,462,464,466,468,470,472,474,476,479,481,483,485,488,490,492,494,496,498,500,502,504],[17,18,18],"2026-05","仅会员",[20,21,21],"2026-04","11.6",[23,24,24],"2026-03","11.9",[26,27,27],"2026-02","12.0",[29,30,30],"2026-01","12.2",[32,33,33],"2025-12","12",[35,36,36],"2025-11","12.6",[38,39,39],"2025-10","12.7",[41,42,42],"2025-08","14.2",[44,45,45],"2025-07","14.1",[47,48,48],"2025-06","14.6",[50,51,51],"2025-05","13.1",[53,54,54],"2025-04","13.4",[56,57,57],"2025-03","13",[59,60,60],"2025-02","12.5",[62,63,63],"2025-01","12.8",[65,66,66],"2024-12","12.3",[68,69,69],"2024-11","11.7",[71,24,24],"2024-10",[73,33,33],"2024-09",[75,33,33],"2024-08",[77,30,30],"2024-07",[79,33,33],"2024-06",[81,30,30],"2024-05",[83,84,84],"2024-04","12.1",[86,87,87],"2024-03","11.5",[89,84,84],"2024-01",[91,54,54],"2023-12",[93,30,30],"2023-11",[95,57,57],"2023-10",[97,33,33],"2023-09",[99,100,100],"2023-08","11.2",[102,103,103],"2023-07","11",[105,51,51],"2023-06",[107,108,108],"2023-05","12.4",[110,84,84],"2023-04",[112,113,113],"2023-03","14.8",[115,116,116],"2023-02","16.2",[118,119,119],"2023-01","17.7",[121,122,122],"2022-12","18.4",[124,125,125],"2022-11","19.5",[127,128,128],"2022-10","18.6",[130,131,131],"2022-09","18.9",[133,134,134],"2022-08","20.8",[136,137,137],"2022-07","24.2",[139,140,140],"2022-06","23.9",[142,143,143],"2022-05","29.7",[145,146,146],"2022-04","30.3",[148,149,149],"2022-03","29.1",[151,152,152],"2022-02","31.1",[154,155,155],"2022-01","31",[157,158,158],"2021-12","31.4",[160,161,161],"2021-11","26.1",[163,164,164],"2021-10","25.1",[166,167,167],"2021-09","19.8",[169,170,170],"2021-08","20.2",[172,173,173],"2021-07","20.1",[175,176,176],"2021-06","19.9",[178,179,179],"2021-05","18.3",[181,182,182],"2021-04","18.1",[184,185,185],"2021-03","15.7",[187,188,188],"2021-02","13.2",[190,33,33],"2021-01",[192,193,193],"2020-12","10.9",[195,196,196],"2020-11","10.7",[198,199,199],"2020-10","9.76",[201,202,202],"2020-09","9.64",[204,205,205],"2020-08","8.56",[207,202,202],"2020-07",[209,210,210],"2020-06","10.1",[212,213,213],"2020-05","9.57",[215,216,216],"2020-04","9.15",[218,196,196],"2020-03",[220,221,221],"2020-02","10.4",[223,224,224],"2020-01","8.99",[226,227,227],"2019-12","8.91",[229,230,230],"2019-11","8.68",[232,233,233],"2019-10","9.05",[235,236,236],"2019-09","8.84",[238,236,236],"2019-08",[240,241,241],"2019-07","9.1",[243,244,244],"2019-06","9.07",[246,247,247],"2019-05","9.54",[249,250,250],"2019-04","9.93",[252,210,210],"2019-03",[254,255,255],"2019-02","9.79",[257,258,258],"2019-01","9.75",[260,199,199],"2018-11",[262,255,255],"2018-10",[264,255,255],"2018-09",[266,267,267],"2018-08","10.2",[269,270,270],"2018-07","9.96",[272,273,273],"2018-06","9.98",[275,210,210],"2018-05",[277,278,278],"2018-04","9.92",[280,199,199],"2018-03",[282,283,283],"2018-02","9.81",[285,286,286],"2018-01","9.39",[288,289,289],"2017-12","9.34",[291,292,292],"2017-11","9.21",[294,295,295],"2017-10","9.23",[297,298,298],"2017-09","9.55",[300,301,301],"2017-08","9.3",[303,304,304],"2017-07","8.4",[306,307,307],"2017-06","8.53",[309,310,310],"2017-05","8.96",[312,313,313],"2017-04","8.03",[315,316,316],"2017-03","8.34",[318,319,319],"2017-02","7.86",[321,322,322],"2017-01","8.26",[324,325,325],"2016-12","7.59",[327,328,328],"2016-11","7.36",[330,331,331],"2016-10","7.37",[333,334,334],"2016-09","7.61",[336,337,337],"2016-08","8.25",[339,340,340],"2016-07","8.48",[342,343,343],"2016-06","8.44",[345,346,346],"2016-05","7.93",[348,349,349],"2016-04","8.09",[351,352,352],"2016-03","8.36",[354,355,355],"2016-02","8.1",[357,358,358],"2016-01","8.45",[360,361,361],"2015-12","8.62",[363,364,364],"2015-11","8.71",[366,367,367],"2015-10","8.59",[369,244,244],"2015-09",[371,372,372],"2015-08","10",[374,87,87],"2015-07",[376,377,377],"2015-06","11.4",[379,84,84],"2015-05",[381,33,33],"2015-04",[383,87,87],"2015-03",[385,87,87],"2015-02",[387,69,69],"2015-01",[389,377,377],"2014-12",[391,392,392],"2014-11","11.1",[394,87,87],"2014-10",[396,60,60],"2014-09",[398,399,399],"2014-08","13.5",[401,402,402],"2014-07","14",[404,405,405],"2014-06","14.5",[407,42,42],"2014-05",[409,410,410],"2014-04","(D)",[412,413,413],"2014-03","13.7",[415,57,57],"2014-02",[417,410,410],"2014-01",[419,420,420],"2013-12","13.6",[422,423,423],"2013-11","13.3",[425,188,188],"2013-10",[427,428,428],"2013-09","14.4",[430,51,51],"2013-08",[432,433,433],"2013-07","15.1",[435,48,48],"2013-06",[437,438,438],"2013-05","15.3",[440,113,113],"2013-04",[442,443,443],"2013-03","13.9",[445,399,399],"2013-02",[447,413,413],"2013-01",[449,450,450],"2012-12","14.3",[452,402,402],"2012-11",[454,54,54],"2012-10",[456,51,51],"2012-09",[458,459,459],"2012-08","12.9",[461,188,188],"2012-07",[463,51,51],"2012-06",[465,45,45],"2012-05",[467,48,48],"2012-04",[469,413,413],"2012-03",[471,188,188],"2012-02",[473,420,420],"2012-01",[475,410,410],"2011-12",[477,478,478],"2011-11","14.7",[480,402,402],"2011-10",[482,428,428],"2011-09",[484,478,478],"2011-08",[486,487,487],"2011-07","15.5",[489,45,45],"2011-06",[491,423,423],"2011-05",[493,188,188],"2011-04",[495,51,51],"2011-03",[497,478,478],"2011-02",[499,402,402],"2011-01",[501,459,459],"2010-12",[503,459,459],"2010-11",[505,377,377],"2010-10","美国及各州亚麻籽售价","美元\u002F蒲式耳","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"]