[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$ftj3jd7twl6s":3},{"msg":4,"code":5,"data":6},"操作成功",200,{"column_ids":7,"column_names":13,"data_list":19,"table_name":514,"units":515,"source":516,"description":517,"frequency":518},[8,9,10,11,12],"ts","ai:wasde_U.S. Quarterly Prices for Animal Products_Turkey_United States_Proj.:MarketYear","ai:wasde_U.S. Quarterly Prices for Animal Products_Turkey_United States_Proj.:prices - high(cents\u002Flb.)","ai:wasde_U.S. Quarterly Prices for Animal Products_Turkey_United States_Proj.:prices - low(cents\u002Flb.)","ai:wasde_U.S. Quarterly Prices for Animal Products_Turkey_United States_Proj.:prices(cents\u002Flb.)",[14,15,16,17,18],"时间","市场年度","价格-上限","价格-下限","价格",[20,23,28,30,33,35,38,41,45,48,51,53,56,58,61,64,67,70,73,77,79,81,84,87,90,92,94,97,100,102,105,109,112,115,118,120,123,126,128,131,134,136,139,142,144,147,150,153,155,157,159,162,165,168,171,175,178,180,183,186,188,191,193,196,199,201,204,208,210,212,214,216,218,220,222,225,228,230,233,237,239,241,243,245,247,250,252,256,259,262,267,270,273,275,278,280,282,284,288,290,293,295,300,303,306,309,311,314,316,318,320,322,324,327,332,335,338,340,342,344,346,348,351,353,355,357,361,364,366,368,370,372,375,377,379,381,383,385,388,391,393,395,397,399,401,403,405,407,409,412,416,420,422,424,426,428,430,432,434,436,438,442,445,447,449,451,453,455,457,459,461,463,465,469,472,475,477,479,481,484,486,488,490,492,494,497,499,501,503,505,508,511],[21,22,22,22,22],"2026-07","仅会员",[24,25,26,26,27],"2026-06","2026","","130.0",[29,25,26,26,27],"2026-05",[31,25,26,26,32],"2026-04","156.0",[34,25,26,26,32],"2026-03",[36,25,26,26,37],"2026-02","154.0",[39,25,26,26,40],"2026-01","153.0",[42,43,26,26,44],"2025-12","2025","143.0",[46,43,26,26,47],"2025-11","140.0",[49,43,26,26,50],"2025-09","131.0",[52,43,26,26,50],"2025-08",[54,43,26,26,55],"2025-07","121.0",[57,43,26,26,55],"2025-06",[59,43,26,26,60],"2025-05","110.0",[62,43,26,26,63],"2025-04","100.0",[65,43,26,26,66],"2025-03","96.0",[68,43,26,26,69],"2025-02","97.0",[71,43,26,26,72],"2025-01","99.0",[74,75,26,26,76],"2024-12","2024","101.0",[78,75,26,26,63],"2024-11",[80,75,26,26,63],"2024-10",[82,75,26,26,83],"2024-09","103.0",[85,75,26,26,86],"2024-08","105.0",[88,75,26,26,89],"2024-07","107.0",[91,75,26,26,86],"2024-06",[93,75,26,26,86],"2024-05",[95,75,26,26,96],"2024-04","104.0",[98,75,26,26,99],"2024-03","108.0",[101,75,26,26,89],"2024-02",[103,75,26,26,104],"2024-01","111.0",[106,107,26,26,108],"2023-12","2023","127.0",[110,107,26,26,111],"2023-11","137.0",[113,107,26,26,114],"2023-10","138.0",[116,107,26,26,117],"2023-09","147.0",[119,107,26,26,37],"2023-08",[121,107,26,26,122],"2023-07","164.0",[124,107,26,26,125],"2023-06","167.0",[127,107,26,26,125],"2023-05",[129,107,26,26,130],"2023-04","171.5",[132,107,26,26,133],"2023-03","162.0",[135,107,26,26,133],"2023-02",[137,107,26,26,138],"2023-01","160.0",[140,141,26,26,40],"2022-12","2022",[143,141,26,26,40],"2022-11",[145,141,26,26,146],"2022-10","151.0",[148,141,26,26,149],"2022-09","148.0",[151,141,26,26,152],"2022-08","146.0",[154,141,26,26,44],"2022-07",[156,141,26,26,114],"2022-06",[158,141,26,26,114],"2022-05",[160,141,26,26,161],"2022-04","136.0",[163,141,26,26,164],"2022-03","132.0",[166,141,26,26,167],"2022-02","126.5",[169,141,26,26,170],"2022-01","125.5",[172,173,26,26,174],"2021-12","2021","123.0",[176,173,26,26,177],"2021-11","122.0",[179,173,26,26,55],"2021-10",[181,173,26,26,182],"2021-09","119.0",[184,173,26,26,185],"2021-08","118.0",[187,173,26,26,185],"2021-07",[189,173,26,26,190],"2021-06","116.0",[192,173,26,26,190],"2021-05",[194,173,26,26,195],"2021-04","112.0",[197,173,26,26,198],"2021-03","111.5",[200,173,26,26,104],"2021-02",[202,173,26,26,203],"2021-01","107.5",[205,206,26,26,207],"2020-12","2020","106.0",[209,206,26,26,207],"2020-11",[211,206,26,26,207],"2020-10",[213,206,26,26,86],"2020-09",[215,206,26,26,86],"2020-08",[217,206,26,26,86],"2020-07",[219,206,26,26,96],"2020-06",[221,206,26,26,96],"2020-05",[223,206,26,26,224],"2020-04","103.5",[226,206,26,26,227],"2020-03","100.5",[229,206,26,26,227],"2020-02",[231,206,26,26,232],"2020-01","92.5",[234,235,26,26,236],"2019-12","2019","90.0",[238,235,26,26,236],"2019-11",[240,235,26,26,236],"2019-10",[242,235,26,26,236],"2019-09",[244,235,26,26,236],"2019-08",[246,235,26,26,236],"2019-07",[248,235,26,26,249],"2019-06","88.0",[251,235,26,26,249],"2019-05",[253,235,254,255,26],"2019-04","89.0","85.0",[257,235,254,258,26],"2019-03","84.0",[260,235,249,261,26],"2019-02","83.0",[263,264,249,265,266],"2018-12","2018","81.0","80.2",[268,264,249,265,269],"2018-11","80.8",[271,264,249,265,272],"2018-10","81.1",[274,264,249,265,26],"2018-09",[276,264,277,258,26],"2018-08","91.0",[279,264,277,258,26],"2018-07",[281,264,277,258,26],"2018-06",[283,264,277,258,26],"2018-05",[285,264,286,287,26],"2018-04","86.0","82.0",[289,264,277,286,26],"2018-03",[291,264,292,249,26],"2018-02","94.0",[294,264,292,249,26],"2018-01",[296,297,63,298,299],"2017-12","2017","93.0","95.7",[301,297,83,66,302],"2017-11","96.6",[304,297,99,63,305],"2017-10","98.8",[307,297,308,63,26],"2017-09","109.0",[310,297,308,63,26],"2017-08",[312,297,104,313,26],"2017-07","102.0",[315,297,104,313,26],"2017-06",[317,297,195,96,26],"2017-05",[319,297,308,96,26],"2017-04",[321,297,60,83,26],"2017-03",[323,297,60,96,26],"2017-02",[325,297,326,86,26],"2017-01","113.0",[328,329,330,89,331],"2016-12","2016","115.0","117.6",[333,329,334,104,185],"2016-11","120.0",[336,329,334,104,337],"2016-10","118.5",[339,329,334,104,26],"2016-09",[341,329,334,104,26],"2016-08",[343,329,334,104,26],"2016-07",[345,329,334,104,26],"2016-06",[347,329,334,104,26],"2016-05",[349,329,350,104,26],"2016-04","117.0",[352,329,350,104,26],"2016-03",[354,329,185,60,26],"2016-02",[356,329,185,60,26],"2016-01",[358,359,185,60,360],"2015-12","2015","116.3",[362,359,185,60,363],"2015-11","117.1",[365,359,182,60,363],"2015-10",[367,359,182,60,26],"2015-09",[369,359,182,60,26],"2015-08",[371,359,182,60,26],"2015-07",[373,359,374,207,26],"2015-06","114.0",[376,359,326,96,26],"2015-05",[378,359,89,76,26],"2015-04",[380,359,99,313,26],"2015-03",[382,359,99,313,26],"2015-02",[384,359,104,83,26],"2015-01",[386,387,104,83,99],"2014-12","2014",[389,387,60,83,390],"2014-11","107.6",[392,387,104,313,390],"2014-10",[394,387,104,313,26],"2014-09",[396,387,104,313,26],"2014-08",[398,387,104,313,26],"2014-07",[400,387,104,313,26],"2014-06",[402,387,104,313,26],"2014-05",[404,387,99,83,26],"2014-04",[406,387,207,63,26],"2014-03",[408,387,207,63,26],"2014-02",[410,387,96,411,26],"2014-01","98.0",[413,414,96,69,415],"2013-12","2013","99.3",[417,414,313,418,419],"2013-11","95.0","99.2",[421,414,313,418,26],"2013-09",[423,414,313,418,26],"2013-08",[425,414,313,418,26],"2013-07",[427,414,313,418,26],"2013-06",[429,414,313,418,26],"2013-05",[431,414,83,72,26],"2013-04",[433,414,96,72,26],"2013-03",[435,414,89,63,26],"2013-02",[437,414,89,63,26],"2013-01",[439,440,308,76,441],"2012-12","2012","105.7",[443,440,308,76,444],"2012-11","105.8",[446,440,60,313,89],"2012-10",[448,440,104,313,26],"2012-09",[450,440,104,313,26],"2012-08",[452,440,60,76,26],"2012-07",[454,440,99,72,26],"2012-06",[456,440,99,72,26],"2012-05",[458,440,60,86,26],"2012-04",[460,440,308,83,26],"2012-03",[462,440,89,63,26],"2012-02",[464,440,86,411,26],"2012-01",[466,467,83,418,468],"2011-12","2011","101.7",[470,467,83,418,471],"2011-11","101.6",[473,467,83,418,474],"2011-10","101.4",[476,467,83,418,26],"2011-09",[478,467,83,418,26],"2011-08",[480,467,76,298,26],"2011-07",[482,467,63,483,26],"2011-06","92.0",[485,467,63,483,26],"2011-05",[487,467,411,298,26],"2011-04",[489,467,66,277,26],"2011-03",[491,467,418,254,26],"2011-02",[493,467,418,254,26],"2011-01",[495,467,292,496,26],"2010-12","87.0",[498,467,298,496,26],"2010-10",[500,467,236,261,26],"2010-09",[502,467,254,261,26],"2010-08",[504,467,254,261,26],"2010-07",[506,467,496,507,26],"2010-06","80.0",[509,467,255,510,26],"2010-05","78.0",[512,513,286,287,26],"2010-04","2010","美国季度畜产品价格_火鸡_美国_预测值","美分\u002F磅","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"]