[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f1lpgpejsroy7m":3},{"msg":4,"code":5,"data":6},"操作成功",200,{"column_ids":7,"column_names":13,"data_list":19,"table_name":535,"units":536,"source":537,"description":538,"frequency":539},[8,9,10,11,12],"ts","ai:wasde_U.S. Dairy Prices_Milk, Class III_United States_Proj.:MarketYear","ai:wasde_U.S. Dairy Prices_Milk, Class III_United States_Proj.:prices - high(dollars per cwt)","ai:wasde_U.S. Dairy Prices_Milk, Class III_United States_Proj.:prices - low(dollars per cwt)","ai:wasde_U.S. Dairy Prices_Milk, Class III_United States_Proj.:prices(dollars per cwt)",[14,15,16,17,18],"时间","市场年度","价格-上限","价格-下限","价格",[20,23,28,30,33,36,38,41,45,48,51,54,56,59,62,65,68,71,74,78,81,84,87,90,93,96,99,102,105,108,111,115,117,120,122,125,128,131,133,136,138,141,144,148,151,153,155,157,160,163,166,169,172,175,177,181,184,186,189,192,195,197,199,201,203,206,208,212,215,217,220,222,224,227,230,233,235,238,241,244,246,248,250,252,254,256,258,260,264,268,273,277,280,283,286,289,291,295,297,300,302,306,309,312,314,316,319,322,324,326,328,330,332,334,338,340,342,344,347,350,353,356,360,363,366,369,373,375,378,380,382,385,387,389,392,394,396,398,401,404,406,409,412,414,416,418,422,425,429,432,435,437,439,441,443,445,447,449,451,454,456,459,462,464,466,468,471,473,475,477,479,481,483,486,488,490,492,494,496,498,501,503,505,508,511,515,518,520,522,524,526,528,530],[21,22,22,22,22],"2026-07","仅会员",[24,25,26,26,27],"2026-06","2026","","17.55",[29,25,26,26,27],"2026-05",[31,25,26,26,32],"2026-04","16.9",[34,25,26,26,35],"2026-03","16.65",[37,25,26,26,35],"2026-02",[39,25,26,26,40],"2026-01","16.35",[42,43,26,26,44],"2025-12","2025","17.05",[46,43,26,26,47],"2025-11","17.65",[49,43,26,26,50],"2025-09","17.4",[52,43,26,26,53],"2025-08","17.85",[55,43,26,26,53],"2025-07",[57,43,26,26,58],"2025-06","17.8",[60,43,26,26,61],"2025-05","17.5",[63,43,26,26,64],"2025-04","17.6",[66,43,26,26,67],"2025-03","17.95",[69,43,26,26,70],"2025-02","19.1",[72,43,26,26,73],"2025-01","19.7",[75,76,26,26,77],"2024-12","2024","18.8",[79,76,26,26,80],"2024-11","19.3",[82,76,26,26,83],"2024-10","18.95",[85,76,26,26,86],"2024-09","19.6",[88,76,26,26,89],"2024-08","18.65",[91,76,26,26,92],"2024-07","18.45",[94,76,26,26,95],"2024-06","17.7",[97,76,26,26,98],"2024-05","16.3",[100,76,26,26,101],"2024-04","16.2",[103,76,26,26,104],"2024-03","17.15",[106,76,26,26,107],"2024-02","17.1",[109,76,26,26,110],"2024-01","16.1",[112,113,26,26,114],"2023-12","2023","16.85",[116,113,26,26,95],"2023-11",[118,113,26,26,119],"2023-10","17.2",[121,113,26,26,27],"2023-09",[123,113,26,26,124],"2023-08","16.55",[126,113,26,26,127],"2023-07","15.95",[129,113,26,26,130],"2023-06","17.0",[132,113,26,26,61],"2023-05",[134,113,26,26,135],"2023-04","18.25",[137,113,26,26,27],"2023-03",[139,113,26,26,140],"2023-02","17.9",[142,113,26,26,143],"2023-01","18.85",[145,146,26,26,147],"2022-12","2022","19.8",[149,146,26,26,150],"2022-11","19.65",[152,146,26,26,147],"2022-10",[154,146,26,26,73],"2022-09",[156,146,26,26,73],"2022-08",[158,146,26,26,159],"2022-07","20.85",[161,146,26,26,162],"2022-06","20.65",[164,146,26,26,165],"2022-05","20.5",[167,146,26,26,168],"2022-04","22.75",[170,146,26,26,171],"2022-03","21.65",[173,146,26,26,174],"2022-02","20.3",[176,146,26,26,150],"2022-01",[178,179,26,26,180],"2021-12","2021","18.15",[182,179,26,26,183],"2021-11","17.75",[185,179,26,26,107],"2021-10",[187,179,26,26,188],"2021-09","16.45",[190,179,26,26,191],"2021-08","16.15",[193,179,26,26,194],"2021-07","16.75",[196,179,26,26,104],"2021-06",[198,179,26,26,114],"2021-05",[200,179,26,26,107],"2021-04",[202,179,26,26,194],"2021-03",[204,179,26,26,205],"2021-02","16.6",[207,179,26,26,32],"2021-01",[209,210,26,26,211],"2020-12","2020","15.6",[213,210,26,26,214],"2020-11","17.25",[216,210,26,26,130],"2020-10",[218,210,26,26,219],"2020-09","16.0",[221,210,26,26,110],"2020-08",[223,210,26,26,101],"2020-07",[225,210,26,26,226],"2020-06","15.1",[228,210,26,26,229],"2020-05","14.2",[231,210,26,26,232],"2020-04","12.75",[234,210,26,26,35],"2020-03",[236,210,26,26,237],"2020-02","16.95",[239,210,26,26,240],"2020-01","17.35",[242,243,26,26,47],"2019-12","2019",[245,243,26,26,61],"2019-11",[247,243,26,26,119],"2019-10",[249,243,26,26,44],"2019-09",[251,243,26,26,124],"2019-08",[253,243,26,26,35],"2019-07",[255,243,26,26,35],"2019-06",[257,243,26,26,124],"2019-05",[259,243,211,226,26],"2019-04",[261,243,262,263,26],"2019-03","15.5","14.9",[265,243,266,267,26],"2019-02","15.4","14.7",[269,270,271,272,26],"2018-12","2018","15.45","14.65",[274,270,275,276,26],"2018-11","16.05","15.15",[278,270,101,279,26],"2018-10","15.3",[281,270,101,282,26],"2018-09","15.2",[284,270,127,285,26],"2018-08","14.95",[287,270,288,267,26],"2018-07","15.7",[290,270,98,279,26],"2018-06",[292,270,293,294,26],"2018-05","15.8","14.8",[296,270,267,229,26],"2018-04",[298,270,263,299,26],"2018-03","14.3",[301,270,263,229,26],"2018-02",[303,270,304,305,26],"2018-01","15.05","14.25",[307,308,110,279,26],"2017-12","2017",[310,308,311,262,26],"2017-11","16.4",[313,308,32,219,26],"2017-10",[315,308,130,219,26],"2017-09",[317,308,318,98,26],"2017-08","17.3",[320,308,321,188,26],"2017-07","17.45",[323,308,183,194,26],"2017-06",[325,308,50,311,26],"2017-05",[327,308,205,110,26],"2017-04",[329,308,119,205,26],"2017-03",[331,308,104,188,26],"2017-02",[333,308,104,40,26],"2017-01",[335,336,35,337,26],"2016-12","2016","15.85",[339,336,101,279,26],"2016-11",[341,336,226,229,26],"2016-10",[343,336,127,285,26],"2016-09",[345,336,219,346,26],"2016-08","15.0",[348,336,262,349,26],"2016-07","14.5",[351,336,346,352,26],"2016-06","14.0",[354,336,304,355,26],"2016-05","14.05",[357,336,358,359,26],"2016-04","14.15","13.65",[361,336,229,362,26],"2016-03","13.6",[364,336,365,355,26],"2016-02","14.75",[367,336,368,355,26],"2016-01","14.85",[370,371,372,365,26],"2015-12","2015","15.55",[374,371,211,267,26],"2015-11",[376,371,377,365,26],"2015-10","15.65",[379,371,219,346,26],"2015-09",[381,371,188,271,26],"2015-08",[383,371,32,384,26],"2015-07","15.9",[386,371,104,191,26],"2015-06",[388,371,119,101,26],"2015-05",[390,371,391,101,26],"2015-04","16.7",[393,371,124,127,26],"2015-03",[395,371,130,98,26],"2015-02",[397,371,130,101,26],"2015-01",[399,400,240,124,26],"2014-12","2014",[402,400,403,104,26],"2014-11","18.05",[405,400,180,214,26],"2014-10",[407,400,408,119,26],"2014-09","18.2",[410,400,411,130,26],"2014-08","18.0",[413,400,67,237,26],"2014-07",[415,400,67,237,26],"2014-06",[417,400,140,32,26],"2014-05",[419,400,420,421,26],"2014-04","20.9","20.4",[423,400,424,83,26],"2014-03","19.55",[426,400,427,428,26],"2014-02","19.05","18.35",[430,400,431,58,26],"2014-01","18.6",[433,434,53,44,26],"2013-12","2013",[436,434,183,114,26],"2013-11",[438,434,403,44,26],"2013-09",[440,434,27,124,26],"2013-08",[442,434,64,205,26],"2013-07",[444,434,411,130,26],"2013-06",[446,434,411,130,26],"2013-05",[448,434,428,53,26],"2013-04",[450,434,180,27,26],"2013-03",[452,434,453,95,26],"2013-02","18.4",[455,434,92,47,26],"2013-01",[457,458,77,411,26],"2012-12","2012",[460,458,461,53,26],"2012-11","18.75",[463,458,89,183,26],"2012-10",[465,458,95,391,26],"2012-09",[467,458,95,391,26],"2012-08",[469,458,214,470,26],"2012-07","16.25",[472,458,119,101,26],"2012-06",[474,458,119,101,26],"2012-05",[476,458,205,110,26],"2012-04",[478,458,237,40,26],"2012-03",[480,458,50,391,26],"2012-02",[482,458,140,107,26],"2012-01",[484,485,95,32,26],"2011-12","2011",[487,485,64,391,26],"2011-11",[489,485,119,98,26],"2011-10",[491,485,107,110,26],"2011-09",[493,485,107,110,26],"2011-08",[495,485,130,219,26],"2011-07",[497,485,130,219,26],"2011-06",[499,485,40,500,26],"2011-05","15.35",[502,485,205,110,26],"2011-04",[504,485,237,40,26],"2011-03",[506,485,507,293,26],"2011-02","16.5",[509,485,276,510,26],"2011-01","14.35",[512,485,513,514,26],"2010-12","15.25","14.45",[516,485,279,517,26],"2010-11","14.4",[519,485,266,349,26],"2010-10",[521,485,266,517,26],"2010-09",[523,485,276,358,26],"2010-08",[525,485,266,517,26],"2010-07",[527,485,500,510,26],"2010-06",[529,485,513,305,26],"2010-05",[531,532,533,534,26],"2010-04","2010","14.6","14.1","美国乳制品价格_三级牛奶_美国_预测值","美元\u002F英担","美国农业部","WASDE：全称为World Agricultural Supply and Demand Estimates，是美国农业部（USDA）发布的核心农产品供需报告，对全球粮食、经济作物等的供需情况进行月度评估，是国际农产品市场重要的参考依据。本数据集不包含每份报告发布后对任何基础数据序列所做的后续修正，因此它反映了随着新信息的出现，评估结果随时间的演变过程，同时记录了每份报告发布时被认为存在的供需状况。由于本数据集未纳入《世界农产品供需评估报告》发布后可能出现的新信息（例如，外国政府针对该报告所涉季度之前的季度发布的官方统计数据修正）所带来的后续修正，因此文件中的数据不应被视为美国政府当前的官方统计数据。整合所有历史修正的正式统计结果请参考外国农业服务局（FAS）维护的官方数据库PS&D，即 “生产、供应与需求” 数据。","月度"]