[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f3949gmuoawmzl":3},{"msg":4,"code":5,"data":6},"操作成功",200,{"column_ids":7,"column_names":50,"data_list":93,"table_name":729,"units":730,"source":731,"description":732,"frequency":733},[8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],"ts","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Africa","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Asia","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Caribbean","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Central America","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Central Asia","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Central Asia and Southern Asia","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Eastern Africa","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Eastern Asia","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Eastern Asia and South-eastern Asia","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Eastern Europe","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Land Locked Developing Countries","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Land Locked Developing Countries (LLDCs)","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Latin America and the Caribbean","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Least Developed Countries","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Least Developed Countries (LDCs)","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Low Income Food Deficit Countries","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Low Income Food Deficit Countries (LIFDCs)","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Low income economies","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Low-income economies","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Lower-middle-income economies","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Melanesia","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Middle Africa","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Northern Africa","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Northern Africa (excluding Sudan)","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Oceania","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Oceania excluding Australia and New Zealand","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Polynesia","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Small Island Developing States","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Small Island Developing States (SIDS)","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:South America","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:South-eastern Asia","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Southern Africa","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Southern Asia","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Southern Asia (excluding India)","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Sub-Saharan Africa","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Sub-Saharan Africa (including Sudan)","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Upper-middle-income economies","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Western Africa","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Western Asia","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:Western Asia and Northern Africa","ai:Food_Security_Data_E_All_Data_Number of people undernourished (million) (annual value)-Value:World",[51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92],"时间","非洲","亚洲","加勒比地区","中美洲","中亚","中亚和南亚","东非","东亚","东亚和东南亚","东欧","内陆发展中国家","内陆发展中国家（LLDCs）","拉丁美洲和加勒比地区","最不发达国家","最不发达国家（LDCs）","低收入粮食短缺国家","低收入粮食短缺国家（LIFDCs）","低收入经济体","Low-income economies","中低收入经济体","美拉尼西亚","中非","北非","北非（不包括苏丹）","大洋洲","大洋洲（不包括澳大利亚和新西兰）","波利尼西亚","小岛屿发展中国家","小岛屿发展中国家（SIDS）","南美洲","东南亚","南部非洲","南亚","南亚（不包括印度）","撒哈拉以南非洲","撒哈拉以南非洲（包括苏丹）","中高收入经济体","西非","西亚","西亚和北非","世界",[94,135,168,199,228,256,283,311,334,361,387,412,440,466,489,517,543,561,589,613,635,661,686,709],[95,96,97,98,99,100,101,102,103,104,103,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,122,123,124,125,126,127,128,129,130,131,132,133,134],"2023","298.4","384.5","7.7","10.5","2.3","283.2","138.5","","64.3","111.0","97.9","41.0","257.1","250.7","271.3","262.8","210.3","207.1","437.2","3.1","62.2","20.7","14.9","3.3","3.2","\u003C0.1","12.2","22.8","41.7","6.6","280.9","94.2","277.7","283.5","75.2","70.4","37.1","57.8","733.4",[136,137,138,139,140,141,142,143,103,144,103,145,145,146,147,147,148,148,149,149,150,151,152,153,154,120,151,121,155,155,156,157,158,159,160,161,162,163,164,165,166,167],"2022","284.1","386.5","7.5","10.6","2.4","287.3","139.8","63.6","111.7","43.9","247.1","261.7","201.2","433.2","3.0","54.0","19.3","14.2","11.8","25.8","41.6","6.5","284.9","90.6","264.8","269.9","73.6","64.5","35.5","54.8","723.8",[169,170,171,172,173,174,175,176,103,177,103,178,178,179,180,180,181,181,182,182,183,115,184,185,186,119,115,121,187,187,188,189,190,191,192,193,194,195,133,196,197,198],"2021","269.6","384.6","6.8","10.3","2.5","291.1","133.7","60.5","108.7","45.3","240.4","249.4","194.2","426.0","53.7","18.3","13.1","11.3","28.2","39.0","6.2","288.6","85.7","251.4","256.5","70.9","33.0","51.3","708.7",[200,194,201,172,202,141,203,204,103,205,103,206,103,207,208,103,209,103,210,103,211,212,197,213,214,215,212,121,216,103,217,218,219,220,221,222,223,103,224,225,226,227],"2020","361.7","9.9","270.8","128.1","59.5","102.2","42.2","228.2","237.0","185.4","396.7","2.8","15.7","10.8","2.9","10.9","25.4","37.3","5.5","268.3","74.9","240.8","245.6","56.0","31.5","47.2","669.3",[229,230,231,232,233,234,235,236,103,103,103,237,103,238,235,103,239,103,240,103,241,215,242,243,244,115,215,121,245,103,246,247,248,249,250,251,252,103,253,254,242,255],"2019","231.0","305.7","6.0","9.7","1.9","218.8","119.7","94.7","36.3","221.7","174.4","327.2","44.9","14.8","10.0","10.1","20.6","36.6","4.7","216.9","65.6","216.2","221.0","46.9","30.2","581.3",[257,258,259,232,260,261,262,263,103,264,103,265,103,266,267,103,268,103,269,103,270,212,271,272,140,151,215,121,244,103,273,274,275,276,205,277,278,103,279,280,281,282],"2018","221.2","289.6","10.4","2.1","199.4","112.7","60.6","84.8","37.6","204.5","212.2","163.8","310.5","42.5","15.0","21.2","37.7","4.6","197.3","206.2","210.6","46.5","29.6","44.6","557.0",[284,285,159,286,287,141,288,289,103,290,103,291,103,238,292,103,293,103,294,103,295,296,297,298,287,212,296,121,299,103,300,301,302,303,304,305,306,103,307,308,309,310],"2017","211.6","5.6","10.2","197.0","109.0","59.9","80.1","200.1","201.7","155.3","305.9","2.7","40.0","14.7","9.3","20.5","38.5","4.5","194.6","60.8","196.9","201.4","43.4","28.0","42.7","541.3",[312,313,314,315,287,316,317,318,103,319,103,320,103,321,322,103,323,103,324,103,325,316,297,326,202,212,296,121,327,103,328,329,248,330,164,331,332,103,329,308,124,333],"2016","207.0","314.7","5.7","2.6","220.6","105.9","66.2","77.0","37.9","201.9","198.2","154.2","327.0","13.7","9.5","22.0","42.6","218.0","193.2","197.1","568.3",[335,336,337,219,338,296,339,340,103,341,103,342,103,343,344,103,345,103,346,103,347,316,247,348,349,212,296,121,299,103,350,351,352,353,354,355,356,357,358,359,218,360],"2015","192.1","336.3","10.7","238.8","96.3","72.8","73.1","32.5","184.4","181.8","140.2","343.5","12.7","9.2","16.3","49.5","5.3","236.1","62.8","179.4","182.8","72.1","41.1","24.7","570.2",[362,363,364,365,338,215,366,367,103,368,103,357,103,369,370,103,371,103,372,103,373,141,374,122,375,174,141,121,376,103,298,377,248,378,379,380,381,382,383,384,385,386],"2014","181.4","317.8","5.4","222.1","90.8","73.8","30.8","176.6","170.1","129.5","325.5","33.5","9.0","8.9","49.3","219.2","63.7","169.2","172.3","71.1","40.1","21.9","34.1","538.7",[388,389,390,315,99,120,391,392,103,393,103,394,103,395,396,103,397,103,398,103,399,141,400,155,401,316,141,121,349,103,402,403,404,405,406,407,408,409,358,300,410,411],"2013","176.1","345.1","238.4","84.9","86.2","70.1","32.7","173.4","163.7","124.7","342.6","34.0","8.7","16.5","55.3","4.2","235.1","69.8","164.2","167.4","82.4","32.4","562.7",[413,414,415,416,202,417,418,419,103,420,103,421,103,422,423,103,424,103,425,103,426,141,343,427,428,316,141,121,429,103,430,431,432,433,434,435,436,192,189,437,438,439],"2012","171.1","359.6","5.9","3.4","251.3","83.8","88.6","70.3","33.8","170.0","159.9","120.3","354.3","11.9","8.3","9.4","17.9","57.2","4.0","247.9","69.2","159.2","162.8","19.7","31.6","573.6",[441,442,443,444,244,445,446,447,103,448,103,449,103,450,451,103,435,103,452,103,453,174,454,455,456,316,174,121,299,103,457,458,404,459,421,460,460,461,462,463,464,465],"2011","169.0","362.1","5.8","3.6","244.6","84.0","97.4","71.6","34.6","168.9","118.5","349.6","30.3","12.5","8.4","18.8","63.2","241.0","156.5","92.5","38.0","20.1","32.6","575.0",[467,408,468,416,244,469,470,471,472,263,103,473,103,474,475,103,476,103,477,103,478,174,479,480,456,296,316,121,327,103,463,406,404,481,482,483,483,484,485,486,487,488],"2010","391.4","4.1","262.5","83.7","42.8","70.2","36.0","165.9","154.4","112.9","369.7","30.4","12.8","258.4","68.9","154.6","107.5","36.4","16.2","29.0","604.8",[490,491,492,493,494,248,495,496,133,497,103,498,103,271,499,103,500,103,501,103,502,503,504,505,506,141,503,121,244,103,507,508,115,509,510,511,511,512,513,514,515,516],"2009","174.8","410.2","6.7","11.4","258.8","88.7","134.1","76.2","178.2","166.7","122.2","368.1","2.2","37.4","13.3","8.6","24.4","76.3","254.2","64.0","161.6","132.7","32.3","17.3","30.5","637.4",[518,519,520,521,494,352,522,523,524,525,103,526,103,527,528,103,529,103,530,103,531,532,132,186,533,100,261,121,287,103,534,535,115,536,537,538,538,539,540,541,369,542],"2008","175.5","417.4","7.0","252.2","91.0","66.0","147.5","79.6","42.4","182.2","169.6","123.1","362.6","2.0","8.1","24.0","81.4","247.0","65.2","162.4","145.9","31.2","17.7","644.8",[544,545,546,172,287,232,547,548,549,408,103,447,103,550,210,103,551,103,552,103,553,261,218,554,456,141,503,121,244,103,188,555,151,556,116,557,557,558,343,486,559,560],"2007","178.8","444.8","261.2","92.3","82.1","45.2","172.5","124.9","376.3","13.6","85.3","255.2","165.2","165.3","29.8","679.1",[562,563,564,565,173,566,567,568,569,570,103,571,103,572,573,103,574,103,575,103,576,234,577,578,506,503,234,121,202,103,579,580,215,581,582,583,583,584,585,586,587,588],"2006","179.1","506.3","6.9","7.2","299.7","92.7","97.8","189.7","90.3","47.1","194.1","175.8","127.5","417.0","37.2","14.1","29.9","91.9","292.5","67.7","165.0","184.9","32.2","16.8","30.9","743.1",[590,344,591,566,592,593,594,595,596,597,103,598,103,599,292,103,600,103,601,103,602,532,603,298,375,100,532,121,173,103,604,595,316,605,606,607,607,608,609,610,611,612],"2005","552.6","11.2","8.2","333.4","95.7","105.4","201.0","93.7","49.8","180.6","130.9","455.0","38.3","31.4","325.2","68.6","169.7","198.8","33.1","18.2","32.9","798.3",[614,615,616,139,617,349,618,619,620,621,103,622,103,623,624,103,584,103,625,103,626,234,627,272,375,100,532,121,140,103,196,628,316,241,629,630,630,631,450,632,633,634],"2004","190.3","568.4","11.7","336.4","101.1","117.5","213.4","97.7","52.2","201.6","130.7","464.0","37.0","95.8","69.1","175.3","215.0","18.6","33.6","823.4",[636,637,638,639,260,299,640,641,642,643,644,645,103,623,646,103,647,103,648,103,649,234,650,651,456,100,532,121,652,103,400,653,296,654,655,656,656,657,658,437,659,660],"2003","190.0","566.4","7.9","317.4","100.6","130.5","229.3","8.5","97.3","203.3","185.8","128.2","451.1","36.5","14.0","11.0","98.9","308.1","73.7","175.9","228.6","36.1","33.7","822.6",[662,663,664,172,429,202,665,666,667,668,506,669,103,670,671,103,672,103,673,103,674,675,650,676,677,532,675,121,233,103,297,678,212,679,680,681,681,682,683,684,343,685],"2002","187.6","572.8","316.9","98.1","135.2","236.8","101.2","56.3","205.2","184.5","129.0","448.7","1.7","13.5","8.0","101.6","307.0","80.2","174.1","235.8","36.7","19.0","830.2",[687,688,689,565,690,429,691,692,693,694,244,695,103,184,696,103,584,103,697,103,698,699,238,700,677,532,675,121,701,103,218,702,316,703,704,705,705,706,707,457,343,708],"2001","186.4","551.1","9.6","279.6","97.6","145.5","252.8","101.8","206.3","130.0","414.5","1.6","13.8","9.8","107.3","270.2","74.4","172.6","248.7","36.2","806.5",[710,663,711,125,260,533,712,653,713,714,122,715,103,716,717,103,718,103,719,103,720,699,721,722,456,261,675,121,233,103,577,723,296,724,382,725,725,556,726,727,659,728],"2000","525.6","248.8","151.4","257.8","103.0","54.3","209.2","182.7","128.5","387.6","35.8","14.6","106.3","240.7","173.0","35.7","19.1","785.2","营养不良人口数量（百万）（年度值）-值","百万头","联合国粮农组织","粮食安全指标体系提供了一套核心粮食安全指标。根据2011年9月在粮农组织总部举行的世界粮食安全委员会(CFS)饥饿计量圆桌会议上专家提出的建议，本数据库首次汇总了旨在反映粮食不安全各个方面的指标体系。这些指标的选取基于专家判断，并考虑了数据的可获得性及其覆盖范围，以确保指标具有跨区域和跨时期的可比性。其中许多指标已由粮农组织和其他国际机构单独编制和发布，现统一汇总于本数据库，旨在构建一个全面的粮食安全信息系统。随着更多数据的可获得，本体系将逐步纳入更多指标。所有指标均按照粮食安全的四个维度——供给、获取、利用和稳定性进行分类。具体指标定义请参见下文\"定义和标准\"部分(项目条目下)。","年度"]