1-85  按年龄、性别分的城镇失业人员行业构成
SECTOR COMPOSITION OF URBAN UNEMPLOYMENT BY AGE AND SEX
单位：%	(%)
年龄	Age	合  计	农、林、	采矿业	制造业	电力、燃气	建筑业	交通运输、	信息传输、	批发和	住宿和	金融业	房地产业	租赁和商	科学研究、	水利、环境和	居民服务和	教  育	卫生、社会	文化、体育	公共管理	国际组织
			牧、渔业			及水的生产		仓储和邮政业	计算机服务	零售业	餐饮业			务服务业	技术服务和	公共设施管理业	其他服务业		保障和社会	和娱乐业	和社会组织
						和供应业			和软件业						地质勘查业				福  利  业
			Farming,					Transport,	Data	Wholesale	Hotel	Banking	Real	Leasing	Scientific	Water				Culture
		Total	Forestry,	Mining and	Manufacturing	Production	Construction	Storage,	Transmission,	and	and		Estate	and	Research,	Conservancy,	Public	Education	Public Health	Sports	Public	International
			Animal	Quarrying		and Supply		Post &	Computer	Retail	Catering			Business	Technical	Environment	and		Social	and	Administrantion
			Husbandry			of Electricity		Telecommu-	Service &	Trade	Services			Services	Services,&	and public	other		Securities	Entertainment	and Social	Organizations
			and			Gas and		nications	Software						Geological	Utility	Services		& Social		Organizations
			Fishery			Water									Prospecting	Management			Welfare
总计	Total	100.0	6.7	1.6	40.3	0.8	5.8	5.7	1.0	18.9	6.1	1.0	0.9	1.4	0.5	0.4	4.7	0.9	0.7	0.8	1.7	…
	16-19	100.0	12.6	1.0	30.1			2.9	2.9	20.4	16.5	1.0		1.9			9.7		1.0
	20-24	100.0	6.4	0.6	26.9	0.8	3.4	3.4	2.6	27.5	12.4	0.8	0.4	2.0		0.4	4.0	1.0	0.2	4.4	3.0
	25-29	100.0	6.0	1.4	34.3		2.6	6.4	2.0	26.7	7.4	1.1	1.0	1.8	0.6		3.4	1.0	0.4	1.1	2.4	0.3
	30-34	100.0	6.5	0.8	35.6	1.3	5.5	5.3	0.7	22.4	6.3	1.4	1.5	1.3	0.9	0.2	6.2	1.4	1.2	0.2	1.4
	35-39	100.0	6.2	1.6	41.3	1.0	6.4	5.5	0.8	18.5	6.9	1.3	0.8	1.6	0.3	0.4	4.7	0.7	0.4	0.5	1.2
	40-44	100.0	6.3	2.5	42.1	0.9	6.4	5.7	0.4	17.4	5.7	0.8	1.2	1.0	0.4	0.6	4.3	1.1	0.8	0.3	2.1
	45-49	100.0	3.6	1.6	50.0	0.6	8.1	6.8	0.2	15.3	2.3	0.8	1.1	1.5	0.8	0.5	4.0	0.6	0.5	0.4	1.2
	50-54	100.0	7.9	1.7	43.0	0.7	8.1	7.0	1.0	12.2	3.6	1.4	0.5	1.4	0.5	0.7	6.0	0.5	1.0	0.7	2.1
	55-59	100.0	12.0	1.5	50.4	1.1	5.1	6.9	1.1	9.1	3.3		0.4	0.7	0.7	0.4	4.0	1.1	1.1	0.4	0.7
	60-64	100.0	19.4	3.2	58.1	3.2	6.5	1.6	3.2	1.6							1.6				1.6
	65+	100.0	47.8		43.5					8.7
男	Male	100.0	6.0	1.7	40.6	0.6	8.5	8.5	1.4	15.5	4.9	1.1	1.2	1.1	0.5	0.4	3.8	0.6	0.6	0.8	2.3
	16-19	100.0	18.9	1.9	24.5				5.7	18.9	9.4			1.9			17.0		1.9
	20-24	100.0	4.8	1.3	27.9	0.4	4.8	5.7	3.1	23.1	9.6	0.4	0.4	0.9		0.9	2.6	0.9	0.4	6.6	6.1
	25-29	100.0	5.2	2.2	34.7		5.5	10.7	4.4	17.0	7.7	2.2	1.8	1.1	0.7		3.0	0.4		0.7	2.6
	30-34	100.0	5.0	0.7	35.4	0.5	9.4	8.4	1.0	17.6	5.2	2.2	2.7	1.5	0.2	0.5	5.0	0.7	1.0		3.0
	35-39	100.0	4.8	1.5	41.0	0.7	9.0	10.5	0.9	14.4	5.9	1.3	0.9	0.9	0.2	0.2	5.2	0.4	0.4	0.4	1.3
	40-44	100.0	7.0	2.2	42.6	0.4	9.0	8.0	0.2	16.4	4.4	0.4	1.0	0.2	0.8	0.6	2.8	1.0	0.2	0.4	2.4
	45-49	100.0	2.7	1.1	49.0	0.7	11.5	8.4	0.2	13.3	2.7	1.1	0.9	1.6	0.7		3.2	0.5	0.2	0.2	2.0
	50-54	100.0	6.7	2.4	43.5	0.5	9.8	8.9	1.4	13.9	2.4	1.0	0.7	1.7		0.7	3.3	0.2	1.0		1.9
	55-59	100.0	8.0	2.0	46.3	1.5	5.5	9.0	1.5	10.9	4.5		0.5	1.0	1.0	0.5	3.5	1.5	1.5	0.5	1.0
	60-64	100.0	15.4	5.1	53.8	5.1	7.7	2.6	5.1	2.6											2.6
	65+	100.0	50.0		37.5					12.5
女	Female	100.0	7.3	1.4	40.0	1.0	3.3	3.1	0.7	22.2	7.2	1.0	0.7	1.7	0.6	0.3	5.5	1.2	0.7	0.8	1.1	0.1
	16-19	100.0	4.2		37.5			6.3		20.8	25.0	2.1		2.1			2.1
	20-24	100.0	7.3		26.3	1.1	2.2	1.5	2.6	30.7	14.6	1.1	0.4	2.9			5.1	1.5		2.6	0.4
	25-29	100.0	6.5	0.9	33.9		0.7	3.7	0.5	32.8	7.2	0.5	0.7	2.5	0.5		3.7	1.4	0.7	1.4	2.1	0.5
	30-34	100.0	7.6	1.1	35.5	1.8	2.5	2.9	0.5	26.0	7.1	0.9	0.5	1.3	1.5		7.1	1.8	1.3	0.4	0.2
	35-39	100.0	7.2	1.7	41.7	1.3	4.6	1.9	0.8	21.4	7.7	1.3	0.6	2.0	0.3	0.5	4.4	0.9	0.2	0.5	1.1
	40-44	100.0	5.7	2.5	41.8	1.3	4.4	4.0	0.3	18.2	6.8	1.1	1.3	1.7	0.2	0.6	5.4	1.1	1.3	0.3	1.9
	45-49	100.0	4.5	2.1	51.3	0.5	4.2	5.0	0.5	17.9	1.8	0.5	1.1	1.1	0.8	0.8	5.3	0.8	0.8	0.5	0.5
	50-54	100.0	11.0		41.7	1.2	3.7	2.5		8.0	6.7	2.5		0.6	1.8	0.6	12.9	1.2	1.2	1.8	2.5
	55-59	100.0	22.4		59.2		3.9	2.6		3.9							6.6				1.3
	60-64	100.0	26.1		65.2		4.3										4.3
	65+		42.9		57.1