中国劳动年鉴2017全国各省市区指标：全国各地区男性就业人员受教育程度构成
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3_1_分地区全国就业人员受教育程度构成
3-1分地区全国就业人员受教育程度构成 Educational Attainment of Employed Persons by Region 单位：% (%) 就业人员 地区 Region Employed Persons 男 Male 女 Female 未上 过学 No Schooling 小学 Primary School
全国 北京 天津 河北 山西 内蒙古 辽宁 吉林 黑龙江 上海 江苏 浙江 安徽 福建 江西 山东 河南 湖北 湖南 广东 广西 海南 重庆 四川 贵州 云南 西藏 陕西 甘肃 青海
National Total Beijing Tianjin Hebei Shanxi Inner Mongolia Liaoning Jilin Heilongjiang Shanghai Jiangsu Zhejiang Anhui Fujian Jiangxi Shandong Henan Hubei Hunan Guangdong Guangxi Hainan Chongqing Sichuan Guizhou Yunnan Tibet Shaanxi Gansu Qinghai
资料来源：2008年11月劳动力调查资料(下表同)。 Data Source:Labor Force Survey in Nov.2008.The same applies to the tables following.
初中 Junior Secondary School
高中 Senior Secondary School
大学 专科 College
大学 本科 University
研究生 及以上 Graduate and Higher Level
47.7279510890246 12.717193107536 4.37561976865742 2.27240255928207 0.20723790770345 33.9836996789331 25.1790565571746 14.448011854779 15.2630279081255 3.08718202025191 41.8716669533804 27.266471701359 9.77120247720626 6.39944950971959 0.774126956820919 57.4508642229721 11.0739032997604 3.23278637850648 1.58419412173823 0.224105509904433 57.8755933666235 13.8524135380063 5.09216447814561 2.00974045989766 7.39781764379508E-02 47.2501158659045 13.1855399351151 5.63880735362274 2.1319326432875 4.63463618105979E-02 51.9521464973655 13.4102098989375 6.9275287207394 4.56076703809277 0.228902133540641 49.3307324947871 17.2327974709087 4.72186722270801 2.75105939328715 0.1614313580413 54.3135568930926 15.028183815802 4.51418744625967 1.89643641922232 6.20999331231489E-02 34.6417514374171 26.5479876160991 14.6727111897391 12.8151260504202 1.71384343210969 50.228897089737 14.1705984023917 4.30933806698743 2.120801606951 0.198533190078012 42.4281198253801 12.0389884088514 5.59235285262683 3.11229866024387 0.199458076170405 46.6186960720182 7.87465345917827 2.91561536305018 1.06843597171604 0.074759368283338 39.7330083642608 12.0755553093669 4.42031795269484 2.77516202293248 0.216030576635462 42.9680223533064 14.2546680267885 4.86539229165743 1.94704395263228 9.75739566239411E-02 52.5196511252288 13.2245791608341 3.62334445999785 1.85564050105883 0.129212878216862 59.0704502868623 11.7739100198968 3.43655224370738 0.987115343751811 4.63615817026291E-02 44.4354587869362 14.6034214618974 4.37325038880249 2.46034214618974 0.220839813374806 48.1184857004913 14.4755900144841 3.93910993723552 1.51089148277527 0.159041208713186 51.9427928016909 18.2822037413824 5.38095332161271 3.05789858364775 0.308160322383106 53.7778106837449 10.3283604190575 2.6987006256247 0.958797615962685 6.29326620516048E-02 53.90625 15.1654411764706 4.18198529411765 1.65441176470588 0.229779411764706 43.6857234110508 9.65186841264772 2.60619610348132 1.28393484509741 4.47141488342383E-02 39.6376413747667 8.32107170308554 2.26858460524871 0.94652465136708 9.44328538486878E-02 38.0218204169441 5.8341443425703 3.10915330635661 1.34200686369923 5.12216360190544E-02 32.5432671169911 6.1233462568448 2.09840521203885 0.891322594827931 1.59878492345817E-02 11.1570247933884 0.964187327823691 0.34435261707989 44.8821262325442 13.3840532559187 5.73602282396516 2.72786425747034 0.450472996646479 35.5227108868061 8.8536409516943 3.47512617159337 1.57894736842105 0.115356885364095 28.1865284974093 9.01554404145078 6.14853195164076 2.9706390328152 0.138169257340242
全国 北京 天津 河北 山西 内蒙古 辽宁 吉林 黑龙江 上海 江苏 浙江 安徽 福建 江西 山东 河南 湖北 湖南 广东 广西 海南 重庆 四川 贵州 云南 西藏 陕西 甘肃 青海
National Total Beijing Tianjin Hebei Shanxi Inner Mongolia Liaoning Jilin Heilongjiang Shanghai Jiangsu Zhejiang Anhui Fujian Jiangxi Shandong Henan Hubei Hunan Guangdong Guangxi Hainan Chongqing Sichuan Guizhou Yunnan Tibet Shaanxi Gansu Qinghai
资料来源：2008年11月劳动力调查资料(下表同)。 Data Source:Labor Force Survey in Nov.2008.The same applies to the tables following.
初中 Junior Secondary School
高中 Senior Secondary School
大学 专科 College
大学 本科 University
研究生 及以上 Graduate and Higher Level
47.7279510890246 12.717193107536 4.37561976865742 2.27240255928207 0.20723790770345 33.9836996789331 25.1790565571746 14.448011854779 15.2630279081255 3.08718202025191 41.8716669533804 27.266471701359 9.77120247720626 6.39944950971959 0.774126956820919 57.4508642229721 11.0739032997604 3.23278637850648 1.58419412173823 0.224105509904433 57.8755933666235 13.8524135380063 5.09216447814561 2.00974045989766 7.39781764379508E-02 47.2501158659045 13.1855399351151 5.63880735362274 2.1319326432875 4.63463618105979E-02 51.9521464973655 13.4102098989375 6.9275287207394 4.56076703809277 0.228902133540641 49.3307324947871 17.2327974709087 4.72186722270801 2.75105939328715 0.1614313580413 54.3135568930926 15.028183815802 4.51418744625967 1.89643641922232 6.20999331231489E-02 34.6417514374171 26.5479876160991 14.6727111897391 12.8151260504202 1.71384343210969 50.228897089737 14.1705984023917 4.30933806698743 2.120801606951 0.198533190078012 42.4281198253801 12.0389884088514 5.59235285262683 3.11229866024387 0.199458076170405 46.6186960720182 7.87465345917827 2.91561536305018 1.06843597171604 0.074759368283338 39.7330083642608 12.0755553093669 4.42031795269484 2.77516202293248 0.216030576635462 42.9680223533064 14.2546680267885 4.86539229165743 1.94704395263228 9.75739566239411E-02 52.5196511252288 13.2245791608341 3.62334445999785 1.85564050105883 0.129212878216862 59.0704502868623 11.7739100198968 3.43655224370738 0.987115343751811 4.63615817026291E-02 44.4354587869362 14.6034214618974 4.37325038880249 2.46034214618974 0.220839813374806 48.1184857004913 14.4755900144841 3.93910993723552 1.51089148277527 0.159041208713186 51.9427928016909 18.2822037413824 5.38095332161271 3.05789858364775 0.308160322383106 53.7778106837449 10.3283604190575 2.6987006256247 0.958797615962685 6.29326620516048E-02 53.90625 15.1654411764706 4.18198529411765 1.65441176470588 0.229779411764706 43.6857234110508 9.65186841264772 2.60619610348132 1.28393484509741 4.47141488342383E-02 39.6376413747667 8.32107170308554 2.26858460524871 0.94652465136708 9.44328538486878E-02 38.0218204169441 5.8341443425703 3.10915330635661 1.34200686369923 5.12216360190544E-02 32.5432671169911 6.1233462568448 2.09840521203885 0.891322594827931 1.59878492345817E-02 11.1570247933884 0.964187327823691 0.34435261707989 44.8821262325442 13.3840532559187 5.73602282396516 2.72786425747034 0.450472996646479 35.5227108868061 8.8536409516943 3.47512617159337 1.57894736842105 0.115356885364095 28.1865284974093 9.01554404145078 6.14853195164076 2.9706390328152 0.138169257340242
中国劳动年鉴2017全国各省市区指标：各地区分行业城镇单位就业人员工资总额(2016年)续表10
北 京 Beijing 天 津 Tianjin 河 北 Hebei 山 西 Shanxi 内蒙古 Inner Mongolia
3704 8945 46111 6432 13700
1733 4794 28900 3918 8587
224645 475449 1591994
92852 577621
59873 50419 34312 14161 41981
重 庆 Chongqing 四 川 Sichuan 贵 州 Guizhou 云 南 Yunnan 西 藏 Tibet
陕 西 Shaanxi 甘 肃 Gansu 青 海 Qinghai 宁 夏 Ningxia 新 疆 Xinjiang
3371 44101
1236 5401
226
25166 3127 2131 9715
6522164 4213607
877352 10227026
730890 39884
38014 37110 39245 50334 36495 52000
157281 81635 12806
517902 8602 126
16年)续表10
纺织服装、服饰业
Manufacture of Textile, Wearing Apparel
68754 344724 266061
64638 253901 120867 216595
河 南 Henan 湖 北 Hubei 湖 南 Hunan 广 东 Guangdong 广 西 Guangxi 海 南 Hainan
176639 114933
22360 200254
19764 778
118200 80359 13466 91527 15484 296
中国劳动年鉴2017全国各省市区指标：各地区城镇登记失业人员情况(2016年)
16.4
12.4
33.4
45.0
61.9
27.1
38.7
61.0
上 海 Shanghai 江 苏 Jiangsu 浙 江 Zhejiang 安 徽 Anhui 福 建 Fujian 江 西 Jiangxi 山 东 Shandong
24.8
39.0
15.4
22.8
37.1
36.0
113.0
53.3
77.2
#女 性 Female
#就业转 失业人数 Unemployemployed
本年失业人 员就业人数
From the Unemployed
This Year
北 京 Beijing 天 津 Tianjin 河 北 Hebei 山 西 Shanxi 内 蒙 古 Inner Mongolia
7.8
16.9
6.9
112.5
29.8
42.5
20.7
22.4
39.5
30.9
26.4
13.2
8.6
26.3
15.4
28.3
13.4
10.6
23.8
29.9
28.8
13.4
5.6
27.4
43.7
69.4
32.4
35.1
65.4
河 南 Henan 湖 北 Hubei 湖 南 Hunan 广 东 Guangdong 广 西 Guangxi 海 南 Hainan
6.7
2.9
4.9
10.7
5.4
10.4
39.4
20.7
3.3
9.5
5.5
2.4
20.3
1-50按行业、性别分的城镇就业人员受教育程度构成
Other Services
教育 Education
卫生和 社会工作
Health and
Social Service
文化、体育 和娱乐业
Culture Sports
and Entertainment
100.0 0.2 3.9
25.8 25.8 24.0 18.0
2.4
100.0 0.1 1.3
12.4 21.5 23.4 32.3
100.0 0.3 6.6
40.9 31.6 14.0
6.2 0.4
100.0 0.2 5.9
47.2 30.9 10.8
4.7 0.3
100.0 0.5 7.6
48.1 30.9
8.9 3.8 0.1
100.0 0.3 2.7
24.3 24.9 24.3 20.5
3.1
100.0 0.0 1.1
12.0 22.7 29.3 31.9
金融业
Finance Intermediation
房地产业
Real Estate
100.0 0.7
12.5 51.8 19.7
9.7 5.4 0.2
100.0 0.5 6.9
42.5 31.3 13.3
5.3 0.3
100.0 0.2 5.7
44.0 30.7 12.8
6.3 0.3
100.0 0.8 9.9
Construction
Wholesale and Retail
Trades
Transport, Storage and Post
住宿和 餐饮业
Hotels and
Catering Services
信息传输、 软件和信息 技术服务业 Information Transmission, Software and Information Technology
教育 Education
卫生和 社会工作
Health and
Social Service
文化、体育 和娱乐业
Culture Sports
and Entertainment
100.0 0.2 3.9
25.8 25.8 24.0 18.0
2.4
100.0 0.1 1.3
12.4 21.5 23.4 32.3
100.0 0.3 6.6
40.9 31.6 14.0
6.2 0.4
100.0 0.2 5.9
47.2 30.9 10.8
4.7 0.3
100.0 0.5 7.6
48.1 30.9
8.9 3.8 0.1
100.0 0.3 2.7
24.3 24.9 24.3 20.5
3.1
100.0 0.0 1.1
12.0 22.7 29.3 31.9
金融业
Finance Intermediation
房地产业
Real Estate
100.0 0.7
12.5 51.8 19.7
9.7 5.4 0.2
100.0 0.5 6.9
42.5 31.3 13.3
5.3 0.3
100.0 0.2 5.7
44.0 30.7 12.8
6.3 0.3
100.0 0.8 9.9
Construction
Wholesale and Retail
Trades
Transport, Storage and Post
住宿和 餐饮业
Hotels and
Catering Services
信息传输、 软件和信息 技术服务业 Information Transmission, Software and Information Technology