[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f15nqtrc8uuuu9":3},{"msg":4,"code":5,"data":6},"操作成功",200,{"column_ids":7,"column_names":13,"data_list":19,"table_name":489,"units":490,"source":491,"description":492,"frequency":493},[8,9,10,11,12],"ts","ai:wasde_U.S. Quarterly Prices for Animal Products_Barrows and gilts_United States_Proj.:MarketYear","ai:wasde_U.S. Quarterly Prices for Animal Products_Barrows and gilts_United States_Proj.:prices - high(dol.\u002Fcwt)","ai:wasde_U.S. Quarterly Prices for Animal Products_Barrows and gilts_United States_Proj.:prices - low(dol.\u002Fcwt)","ai:wasde_U.S. Quarterly Prices for Animal Products_Barrows and gilts_United States_Proj.:prices(dol.\u002Fcwt)",[14,15,16,17,18],"时间","市场年度","价格-上限","价格-下限","价格",[20,23,28,31,34,37,39,41,44,46,49,51,53,56,58,61,64,66,68,72,75,78,80,82,84,87,89,91,93,95,97,100,102,104,106,108,110,112,114,116,118,121,124,127,129,131,133,135,137,140,142,145,147,149,152,155,157,159,162,164,166,168,170,173,175,178,181,185,187,189,192,194,196,198,200,203,206,209,212,216,219,221,223,225,227,229,231,234,238,240,244,247,250,254,256,258,260,263,265,268,270,272,276,279,281,283,285,287,289,291,293,295,297,300,304,307,310,312,314,316,318,320,322,324,326,328,332,335,337,339,341,343,345,347,350,353,356,358,362,365,368,370,374,378,381,383,385,387,389,391,395,398,400,402,404,406,408,410,412,414,416,420,423,426,428,430,432,434,436,438,440,442,444,448,451,454,456,458,460,462,464,466,468,470,472,474,476,478,480,482,484,486],[21,22,22,22,22],"2026-07","仅会员",[24,25,26,26,27],"2026-06","2026","","65.0",[29,25,26,26,30],"2026-05","67.0",[32,25,26,26,33],"2026-04","69.0",[35,25,26,26,36],"2026-03","70.0",[38,25,26,26,33],"2026-02",[40,25,26,26,30],"2026-01",[42,43,26,26,30],"2025-12","2025",[45,43,26,26,30],"2025-11",[47,43,26,26,48],"2025-09","66.0",[50,43,26,26,48],"2025-08",[52,43,26,26,27],"2025-07",[54,43,26,26,55],"2025-06","64.0",[57,43,26,26,55],"2025-05",[59,43,26,26,60],"2025-04","61.0",[62,43,26,26,63],"2025-03","63.0",[65,43,26,26,55],"2025-02",[67,43,26,26,63],"2025-01",[69,70,26,26,71],"2024-12","2024","62.0",[73,70,26,26,74],"2024-11","59.0",[76,70,26,26,77],"2024-10","58.0",[79,70,26,26,77],"2024-09",[81,70,26,26,77],"2024-08",[83,70,26,26,74],"2024-07",[85,70,26,26,86],"2024-06","60.0",[88,70,26,26,86],"2024-05",[90,70,26,26,63],"2024-04",[92,70,26,26,60],"2024-03",[94,70,26,26,86],"2024-02",[96,70,26,26,77],"2024-01",[98,99,26,26,86],"2023-12","2023",[101,99,26,26,86],"2023-11",[103,99,26,26,60],"2023-10",[105,99,26,26,27],"2023-09",[107,99,26,26,27],"2023-08",[109,99,26,26,27],"2023-07",[111,99,26,26,71],"2023-06",[113,99,26,26,71],"2023-05",[115,99,26,26,60],"2023-04",[117,99,26,26,48],"2023-03",[119,99,26,26,120],"2023-02","66.5",[122,99,26,26,123],"2023-01","68.0",[125,126,26,26,30],"2022-12","2022",[128,126,26,26,30],"2022-11",[130,126,26,26,30],"2022-10",[132,126,26,26,36],"2022-09",[134,126,26,26,36],"2022-08",[136,126,26,26,36],"2022-07",[138,126,26,26,139],"2022-06","71.0",[141,126,26,26,139],"2022-05",[143,126,26,26,144],"2022-04","73.0",[146,126,26,26,139],"2022-03",[148,126,26,26,27],"2022-02",[150,126,26,26,151],"2022-01","60.5",[153,154,26,26,86],"2021-12","2021",[156,154,26,26,86],"2021-11",[158,154,26,26,60],"2021-10",[160,154,26,26,161],"2021-09","56.0",[163,154,26,26,161],"2021-08",[165,154,26,26,161],"2021-07",[167,154,26,26,161],"2021-06",[169,154,26,26,161],"2021-05",[171,154,26,26,172],"2021-04","65.5",[174,154,26,26,161],"2021-03",[176,154,26,26,177],"2021-02","50.5",[179,154,26,26,180],"2021-01","49.5",[182,183,26,26,184],"2020-12","2020","47.0",[186,183,26,26,184],"2020-11",[188,183,26,26,184],"2020-10",[190,183,26,26,191],"2020-09","44.0",[193,183,26,26,191],"2020-08",[195,183,26,26,191],"2020-07",[197,183,26,26,184],"2020-06",[199,183,26,26,184],"2020-05",[201,183,26,26,202],"2020-04","40.0",[204,183,26,26,205],"2020-03","48.0",[207,183,26,26,208],"2020-02","49.0",[210,183,26,26,211],"2020-01","54.5",[213,214,26,26,215],"2019-12","2019","55.0",[217,214,26,26,218],"2019-11","57.0",[220,214,26,26,77],"2019-10",[222,214,26,26,74],"2019-09",[224,214,26,26,74],"2019-08",[226,214,26,26,74],"2019-07",[228,214,26,26,86],"2019-06",[230,214,26,26,86],"2019-05",[232,214,184,233,26],"2019-04","45.0",[235,214,236,237,26],"2019-03","43.0","41.0",[239,214,191,237,26],"2019-02",[241,242,191,237,243],"2018-12","2018","45.86",[245,242,236,202,246],"2018-11","45.48",[248,242,236,202,249],"2018-10","45.23",[251,242,252,253,26],"2018-09","42.0","39.0",[255,242,252,253,26],"2018-08",[257,242,191,202,26],"2018-07",[259,242,233,252,26],"2018-06",[261,242,262,236,26],"2018-05","46.0",[264,242,184,233,26],"2018-04",[266,242,267,184,26],"2018-03","50.0",[269,242,208,184,26],"2018-02",[271,242,208,262,26],"2018-01",[273,274,208,262,275],"2017-12","2017","50.38",[277,274,184,236,278],"2017-11","49.01",[280,274,184,236,278],"2017-10",[282,274,267,262,26],"2017-09",[284,274,267,262,26],"2017-08",[286,274,208,262,26],"2017-07",[288,274,262,236,26],"2017-06",[290,274,262,252,26],"2017-05",[292,274,233,236,26],"2017-04",[294,274,262,236,26],"2017-03",[296,274,233,252,26],"2017-02",[298,274,237,299,26],"2017-01","38.0",[301,302,237,253,303],"2016-12","2016","45.78",[305,302,252,299,306],"2016-11","45.65",[308,302,236,253,309],"2016-10","46.15",[311,302,233,252,26],"2016-09",[313,302,233,252,26],"2016-08",[315,302,262,236,26],"2016-07",[317,302,262,252,26],"2016-06",[319,302,262,252,26],"2016-05",[321,302,205,262,26],"2016-04",[323,302,208,262,26],"2016-03",[325,302,208,262,26],"2016-02",[327,302,208,262,26],"2016-01",[329,330,267,184,331],"2015-12","2015","50.44",[333,330,267,184,334],"2015-11","50.82",[336,330,267,184,334],"2015-10",[338,330,208,262,26],"2015-09",[340,330,208,262,26],"2015-08",[342,330,208,262,26],"2015-07",[344,330,205,191,26],"2015-06",[346,330,205,191,26],"2015-05",[348,330,349,205,26],"2015-04","51.0",[351,330,218,352,26],"2015-03","53.0",[354,330,77,355,26],"2015-02","54.0",[357,330,27,86,26],"2015-01",[359,360,123,63,361],"2014-12","2014","76.22",[363,360,123,63,364],"2014-11","76.6",[366,360,123,63,367],"2014-10","77.6",[369,360,144,30,26],"2014-09",[371,360,372,373,26],"2014-08","78.0","72.0",[375,360,376,377,26],"2014-07","81.0","75.0",[379,360,380,36,26],"2014-06","76.0",[382,360,380,36,26],"2014-05",[384,360,377,373,26],"2014-04",[386,360,33,27,26],"2014-03",[388,360,27,60,26],"2014-02",[390,360,55,86,26],"2014-01",[392,393,63,74,394],"2013-12","2013","64.4",[396,393,63,74,397],"2013-11","64.77",[399,393,71,77,26],"2013-09",[401,393,71,77,26],"2013-08",[403,393,71,77,26],"2013-07",[405,393,86,161,26],"2013-06",[407,393,86,161,26],"2013-05",[409,393,86,77,26],"2013-04",[411,393,27,60,26],"2013-03",[413,393,27,60,26],"2013-02",[415,393,27,60,26],"2013-01",[417,418,30,63,419],"2012-12","2012","61.1",[421,418,30,71,422],"2012-11","60.73",[424,418,30,71,425],"2012-10","60.98",[427,418,30,71,26],"2012-09",[429,418,30,71,26],"2012-08",[431,418,71,77,26],"2012-07",[433,418,60,218,26],"2012-06",[435,418,60,218,26],"2012-05",[437,418,27,71,26],"2012-04",[439,418,30,63,26],"2012-03",[441,418,30,63,26],"2012-02",[443,418,30,63,26],"2012-01",[445,446,123,63,447],"2011-12","2011","66.32",[449,446,123,63,450],"2011-11","66.2",[452,446,30,71,453],"2011-10","65.2",[455,446,123,71,26],"2011-09",[457,446,123,71,26],"2011-08",[459,446,30,71,26],"2011-07",[461,446,48,60,26],"2011-06",[463,446,48,60,26],"2011-05",[465,446,27,71,26],"2011-04",[467,446,63,74,26],"2011-03",[469,446,60,77,26],"2011-02",[471,446,77,355,26],"2011-01",[473,446,218,352,26],"2010-12",[475,446,74,355,26],"2010-10",[477,446,218,352,26],"2010-09",[479,446,218,352,26],"2010-08",[481,446,218,352,26],"2010-07",[483,446,218,352,26],"2010-06",[485,446,218,352,26],"2010-05",[487,488,352,267,26],"2010-04","2010","美国季度畜产品价格_阉公猪与小母猪_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"]