[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fhww81ggm4cmy":3},{"msg":4,"code":5,"data":6},"操作成功",200,{"column_ids":7,"column_names":15,"data_list":23,"table_name":560,"units":561,"source":562,"description":563,"frequency":564},[8,9,10,11,12,13,14],"ts","ai:nass_agpr_Prices Received for Canola – States and United States:United States","ai:nass_agpr_Prices Received for Canola – States and United States:Minnesota","ai:nass_agpr_Prices Received for Canola – States and United States:Montana","ai:nass_agpr_Prices Received for Canola – States and United States:North Dakota","ai:nass_agpr_Prices Received for Canola – States and United States:Oklahoma","ai:nass_agpr_Prices Received for Canola – States and United States:Washington",[16,17,18,19,20,21,22],"时间","美国","明尼苏达州","蒙大拿州","北达科他州","俄克拉何马州","华盛顿州",[24,27,35,40,43,48,53,57,61,65,68,74,79,82,85,88,92,95,99,103,106,108,111,117,121,125,128,131,134,137,139,141,144,147,151,154,158,162,165,168,172,174,176,180,183,188,193,197,202,207,211,215,219,223,227,231,235,239,243,246,250,254,257,261,264,269,274,279,283,289,294,297,300,303,305,308,311,313,315,318,322,326,328,330,332,334,336,340,343,345,347,351,354,357,359,362,364,367,369,371,373,375,377,381,383,385,387,389,391,393,395,397,399,402,404,406,408,410,412,414,416,418,421,423,425,427,429,431,433,435,437,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477,480,483,485,488,490,492,494,497,499,502,505,507,509,511,513,515,517,519,522,525,527,530,532,534,537,539,541,544,546,548,550,553,556,558],[25,26,26,26,26,26,26],"2026-05","仅会员",[28,29,30,31,32,33,34],"2026-04","22.6","(S)","20.0","22.7","","21.8",[36,37,30,38,37,33,39],"2026-03","22.5","(D)","21.9",[41,42,30,38,42,33,42],"2026-02","21.0",[44,45,30,38,46,33,47],"2026-01","20.9","21","20.4",[49,50,30,30,51,33,52],"2025-12","19.5","19.4","20",[54,55,30,38,56,33,38],"2025-11","19.8","19.7",[58,59,30,30,59,33,60],"2025-10","19.3","18",[62,63,30,38,39,33,64],"2025-08","21.7","20.2",[66,32,30,38,67,33,29],"2025-07","22.8",[69,70,30,71,72,73,38],"2025-06","22.2","19.1","22.3","(NA)",[75,76,30,38,77,73,78],"2025-05","23.6","23.9","20.3",[80,81,30,38,81,73,81],"2025-04","20.7",[83,52,30,38,84,73,55],"2025-03","20.1",[86,45,30,38,46,73,87],"2025-02","18.5",[89,84,38,90,64,73,91],"2025-01","17.1","17.6",[93,59,30,38,51,73,94],"2024-12","16.8",[96,56,38,38,97,73,98],"2024-11","19.9","17.9",[100,78,30,101,78,73,102],"2024-10","17.3","19",[104,102,38,38,71,73,105],"2024-09","17",[107,52,30,105,64,73,98],"2024-08",[109,78,30,110,47,73,70],"2024-07","18.4",[112,113,30,114,115,116,33],"2024-06","20.6","19.6","21.5","16.6",[118,119,38,38,120,78,33],"2024-05","25.1","25.5",[122,39,30,123,124,30,33],"2024-04","18.7","22",[126,127,30,102,127,30,33],"2024-03","21.6",[129,130,30,38,130,30,33],"2024-01","24.4",[132,133,30,38,133,30,33],"2023-12","24.2",[135,120,38,38,136,30,33],"2023-11","25.6",[138,76,30,38,76,30,33],"2023-10",[140,119,30,38,119,30,33],"2023-09",[142,143,30,38,143,30,33],"2023-08","28.1",[145,146,30,38,146,30,33],"2023-07","27.2",[148,149,30,38,150,38,33],"2023-06","27.3","27.6",[152,153,30,38,120,30,33],"2023-05","25.2",[155,156,38,38,157,30,33],"2023-04","26.8","26.9",[159,160,38,30,161,30,33],"2023-03","30.9","30.4",[163,164,30,38,164,30,33],"2023-02","30.7",[166,167,38,38,167,30,33],"2023-01","30.1",[169,170,30,38,171,30,33],"2022-12","29.2","29.3",[173,170,30,38,170,30,33],"2022-11",[175,143,38,38,143,30,33],"2022-10",[177,143,38,178,179,30,33],"2022-09","27.4","28",[181,182,30,30,182,38,33],"2022-08","40",[184,185,38,186,187,38,33],"2022-07","42.7","26.6","44",[189,190,38,38,191,192,33],"2022-06","45.6","47","17.8",[194,195,38,38,196,30,33],"2022-05","42.9","43.7",[198,199,38,200,201,30,33],"2022-04","41.3","35","41.9",[203,204,38,205,206,30,33],"2022-03","39.1","34.6","39.4",[208,209,38,38,210,30,33],"2022-02","37","37.3",[212,213,38,214,213,30,33],"2022-01","33.7","30.2",[216,217,38,38,218,30,33],"2021-12","32.5","32.7",[220,221,38,38,222,30,33],"2021-11","31.7","31.9",[224,225,38,38,226,30,33],"2021-10","29.5","29.8",[228,229,38,38,230,30,33],"2021-09","28.7","29.6",[232,160,38,233,234,30,33],"2021-08","16.1","31.5",[236,237,38,114,238,38,33],"2021-07","27.7","28.5",[240,241,38,38,242,56,33],"2021-06","26","27",[244,245,38,94,237,30,33],"2021-05","26.1",[247,248,38,249,77,30,33],"2021-04","23.8","17.2",[251,124,38,252,253,30,33],"2021-03","17.7","22.1",[255,47,38,105,256,30,33],"2021-02","20.5",[258,259,38,260,259,30,33],"2021-01","18.8","17.5",[262,249,38,263,249,30,33],"2020-12","15.8",[265,266,38,267,268,30,33],"2020-11","18.1","16.9","18.2",[270,271,267,272,273,30,33],"2020-10","16.2","14.4","16.3",[275,276,38,277,278,30,33],"2020-09","16.4","14.9","16.5",[280,281,38,282,281,38,33],"2020-08","15.1","13.4",[284,285,38,286,287,288,33],"2020-07","15.5","15.3","15.6","9.93",[290,291,38,292,285,293,33],"2020-06","15.2","11.5","10.4",[295,296,38,38,296,38,33],"2020-05","14.2",[298,291,38,299,281,30,33],"2020-04","15.7",[301,285,38,302,287,30,33],"2020-03","13.6",[304,263,38,302,263,30,33],"2020-02",[306,307,38,38,307,30,33],"2020-01","16",[309,272,38,310,272,30,33],"2019-12","14.1",[312,272,38,302,272,30,33],"2019-11",[314,296,38,302,296,30,33],"2019-10",[316,296,38,317,296,30,33],"2019-09","12.7",[319,320,38,38,321,38,33],"2019-08","14.5","14.3",[323,324,38,38,277,325,33],"2019-07","14.8","10.3",[327,277,38,296,286,293,33],"2019-06",[329,291,38,38,291,30,33],"2019-05",[331,263,38,291,263,30,33],"2019-04",[333,263,38,38,263,30,33],"2019-03",[335,271,38,38,271,30,33],"2019-02",[337,338,38,339,338,30,33],"2019-01","16.7","13.5",[341,307,38,342,233,30,33],"2018-11","13.2",[344,287,38,320,287,30,33],"2018-10",[346,291,267,38,291,30,33],"2018-09",[348,286,30,38,349,350,33],"2018-08","15.4","11.1",[352,90,38,30,91,353,33],"2018-07","11.4",[355,249,38,38,266,356,33],"2018-06","12.5",[358,87,38,38,87,30,33],"2018-05",[360,260,30,361,260,30,33],"2018-04","17.4",[363,60,38,252,60,30,33],"2018-03",[365,366,38,291,87,30,33],"2018-02","18.3",[368,252,38,105,252,30,33],"2018-01",[370,338,38,38,338,30,33],"2017-12",[372,249,38,307,249,30,33],"2017-11",[374,338,38,38,338,38,33],"2017-10",[376,101,38,286,361,38,33],"2017-09",[378,252,30,379,192,380,33],"2017-08","14.7","13.1",[382,192,38,38,366,339,33],"2017-07",[384,98,38,38,366,296,33],"2017-06",[386,116,38,38,38,356,33],"2017-05",[388,60,30,38,268,30,33],"2017-04",[390,91,38,38,192,30,33],"2017-03",[392,361,38,38,260,30,33],"2017-02",[394,101,38,38,101,30,33],"2017-01",[396,90,38,38,90,30,33],"2016-12",[398,271,38,38,273,30,33],"2016-11",[400,263,263,38,401,30,33],"2016-10","15.9",[403,285,38,38,285,38,33],"2016-09",[405,263,38,33,263,33,33],"2016-08",[407,116,38,33,116,33,33],"2016-07",[409,259,38,33,259,33,33],"2016-06",[411,38,30,33,38,33,33],"2016-05",[413,233,30,33,233,33,33],"2016-04",[415,281,30,33,281,33,33],"2016-03",[417,286,38,33,291,33,33],"2016-02",[419,420,38,33,420,33,33],"2016-01","13.8",[422,277,30,33,277,33,33],"2015-12",[424,281,38,33,281,33,33],"2015-11",[426,324,38,33,324,33,33],"2015-10",[428,281,38,33,281,33,33],"2015-09",[430,287,38,33,287,33,33],"2015-08",[432,266,38,33,266,33,33],"2015-07",[434,192,30,33,192,33,33],"2015-06",[436,94,30,33,94,33,33],"2015-05",[438,273,38,33,273,33,33],"2015-04",[440,116,30,33,116,33,33],"2015-03",[442,249,30,33,249,33,33],"2015-02",[444,192,38,33,192,33,33],"2015-01",[446,116,38,33,116,33,33],"2014-12",[448,273,30,33,273,33,33],"2014-11",[450,285,30,33,285,33,33],"2014-10",[452,307,30,33,307,33,33],"2014-09",[454,60,30,33,60,33,33],"2014-08",[456,102,30,33,102,33,33],"2014-07",[458,115,30,33,115,33,33],"2014-06",[460,78,30,33,78,33,33],"2014-05",[462,259,30,33,259,33,33],"2014-04",[464,102,30,33,102,33,33],"2014-03",[466,101,30,33,101,33,33],"2014-02",[468,60,30,33,60,33,33],"2014-01",[470,102,30,33,102,33,33],"2013-12",[472,52,30,33,52,33,33],"2013-11",[474,55,30,33,55,33,33],"2013-10",[476,52,30,33,52,33,33],"2013-09",[478,479,30,33,479,33,33],"2013-08","24",[481,482,30,33,482,33,33],"2013-07","26.5",[484,242,30,33,242,33,33],"2013-06",[486,487,30,33,487,33,33],"2013-05","27.8",[489,178,30,33,178,33,33],"2013-04",[491,156,30,33,156,33,33],"2013-03",[493,143,30,33,143,33,33],"2013-02",[495,496,30,33,496,33,33],"2013-01","27.5",[498,149,30,33,149,33,33],"2012-12",[500,501,30,33,501,33,33],"2012-11","25.9",[503,504,30,33,504,33,33],"2012-10","26.7",[506,496,30,33,496,33,33],"2012-09",[508,136,30,33,136,33,33],"2012-08",[510,482,30,33,482,33,33],"2012-07",[512,487,30,33,487,33,33],"2012-06",[514,179,30,33,179,33,33],"2012-05",[516,229,30,33,229,33,33],"2012-04",[518,241,30,33,241,33,33],"2012-03",[520,521,30,33,521,33,33],"2012-02","24.5",[523,524,30,33,524,33,33],"2012-01","23.4",[526,67,30,33,67,33,33],"2011-12",[528,529,30,33,529,33,33],"2011-11","23",[531,479,30,33,479,33,33],"2011-10",[533,479,30,33,479,33,33],"2011-09",[535,536,30,33,536,33,33],"2011-08","25",[538,120,30,33,120,33,33],"2011-07",[540,536,30,33,536,33,33],"2011-06",[542,543,30,33,543,33,33],"2011-05","25.8",[545,536,30,33,536,33,33],"2011-04",[547,46,30,33,46,33,33],"2011-03",[549,124,30,33,124,33,33],"2011-02",[551,552,30,33,552,33,33],"2011-01","21.4",[554,555,30,33,555,33,33],"2010-12","20.8",[557,81,30,33,81,33,33],"2010-11",[559,266,30,33,266,33,33],"2010-10","美国及各州油菜籽售价","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"]