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CSV Singapore Department of Statistics

2000年人口普查：15岁及以上就业居民按年龄组、职业与性别

简介

本数据集依据2000年人口普查，由新加坡统计局发布，统计15岁及以上就业居民按年龄组、职业大类与性别划分的人数，便于历史比较新加坡职业结构。改编自：https://tablebuilder.singstat.gov.sg/table/CT/8925

官方简介

来源：新加坡统计局。 数据最后更新：2016年3月31日 更新频率：每10年一次 调查时期：2000年人口普查 改编自：https://tablebuilder.singstat.gov.sg/table/CT/8925

下载 CSV 在 data.gov.sg 查看
最近更新
行数
13
列数
34

图表

当多行属于同一类别时，数值会被求和。

数据

Number (Total) Total (Total) Senior Officials & Managers (Total) Professionals (Total) Associate Professionals & Technicians (Total) Clerical Workers (Total) Service & Sales Workers (Total) Agricultural & Fishery Workers (Total) Production Craftsmen & Related Workers (Total) Plant & Machine Operators & Assemblers (Total) Cleaners, Labourers & Related Workers (Total) Workers Not Classifiable By Occupation (Males) Total (Males) Senior Officials & Managers (Males) Professionals (Males) Associate Professionals & Technicians (Males) Clerical Workers (Males) Service & Sales Workers (Males) Agricultural & Fishery Workers (Males) Production Craftsmen & Related Workers (Males) Plant & Machine Operators & Assemblers (Males) Cleaners, Labourers & Related Workers (Males) Workers Not Classifiable By Occupation (Females) Total (Females) Senior Officials & Managers (Females) Professionals (Females) Associate Professionals & Technicians (Females) Clerical Workers (Females) Service & Sales Workers (Females) Agricultural & Fishery Workers (Females) Production Craftsmen & Related Workers (Females) Plant & Machine Operators & Assemblers (Females) Cleaners, Labourers & Related Workers (Females) Workers Not Classifiable By Occupation
Total 1482579.000000 211835.000000 150265.000000 283361.000000 213588.000000 182966.000000 1158 106753.000000 178752.000000 101149.000000 52752 889482.000000 158980 86375.000000 153928.000000 49485.000000 106867.000000 1034 97569.000000 130437.000000 54279.000000 50530 593097.000000 52855.000000 63890.000000 129433.000000 164103.000000 76099.000000 124 9184.000000 48315.000000 46870.000000 2222
15 - 19 25999.000000 29.000000 24.000000 1366.000000 5573.000000 6320.000000 na 338.000000 793.000000 878.000000 10679 15260.000000 na 14.000000 101.000000 418.000000 2993.000000 na 274.000000 243.000000 620.000000 10598 10739.000000 29.000000 10.000000 1265.000000 5155.000000 3328.000000 na 64.000000 550.000000 258.000000 81
20 - 24 122080.000000 2725.000000 10044.000000 28977.000000 23555.000000 17502.000000 24 3799.000000 4587.000000 2671.000000 28198 61490.000000 1158 2339.000000 7778.000000 3414.000000 10435.000000 24 3527.000000 3092.000000 2132.000000 27591 60590.000000 1566.000000 7705.000000 21199.000000 20142.000000 7067.000000 na 273.000000 1494.000000 539.000000 607
25 - 29 212178.000000 17298.000000 41157.000000 63965.000000 37684.000000 20717.000000 34 9951.000000 11558.000000 4443.000000 5372 108758.000000 10096 22212.000000 32265.000000 7035.000000 11927.000000 34 9285.000000 7569.000000 3399.000000 4938 103420.000000 7202.000000 18944.000000 31700.000000 30649.000000 8790.000000 na 666.000000 3990.000000 1045.000000 435
30 - 34 222883.000000 34238.000000 35953.000000 54301.000000 36392.000000 19948.000000 77 13683.000000 19499.000000 6496.000000 2296 126658.000000 23537 22435.000000 29736.000000 7079.000000 11223.000000 67 12713.000000 13325.000000 4524.000000 2019 96226.000000 10701.000000 13518.000000 24565.000000 29314.000000 8725.000000 10 970.000000 6174.000000 1972.000000 277
35 - 39 235195.000000 43645.000000 24574.000000 45461.000000 34109.000000 23566.000000 195 20054.000000 29842.000000 11070.000000 2679 145673.000000 32386 15600.000000 26581.000000 7638.000000 13846.000000 175 18495.000000 21298.000000 7290.000000 2364 89522.000000 11259.000000 8974.000000 18880.000000 26471.000000 9720.000000 19 1559.000000 8544.000000 3780.000000 315
40 - 44 225706.000000 42560.000000 14853.000000 37316.000000 30848.000000 26034.000000 188 20730.000000 36068.000000 15182.000000 1928 140469.000000 32921 8912.000000 22447.000000 6991.000000 14581.000000 164 18814.000000 25551.000000 8538.000000 1550 85237.000000 9639.000000 5941.000000 14869.000000 23856.000000 11453.000000 24 1916.000000 10517.000000 6644.000000 378
45 - 49 185483.000000 31985.000000 9295.000000 26809.000000 23117.000000 24343.000000 230 17281.000000 33798.000000 17488.000000 1136 116465.000000 25367 5831.000000 17491.000000 6269.000000 13186.000000 197 15511.000000 23827.000000 7727.000000 1059 69017.000000 6618.000000 3464.000000 9317.000000 16847.000000 11157.000000 33 1771.000000 9972.000000 9761.000000 76
50 - 54 132684.000000 21854.000000 8107.000000 16598.000000 13479.000000 20466.000000 183 11748.000000 22676.000000 17181.000000 392 87131.000000 18097 4725.000000 11387.000000 4848.000000 11916.000000 173 10528.000000 17837.000000 7282.000000 339 45553.000000 3757.000000 3382.000000 5211.000000 8631.000000 8550.000000 10 1221.000000 4840.000000 9899.000000 53
55 - 59 61767.000000 9051.000000 4235.000000 5543.000000 4876.000000 10674.000000 113 5397.000000 10812.000000 11008.000000 58 43161.000000 8024 2672.000000 3791.000000 2680.000000 6724.000000 98 4911.000000 9233.000000 4970.000000 58 18606.000000 1028.000000 1563.000000 1753.000000 2195.000000 3951.000000 14 486.000000 1579.000000 6037.000000 na
60 - 64 34399.000000 4583.000000 1408.000000 2223.000000 2543.000000 6758.000000 82 2483.000000 6292.000000 8013.000000 14 25585.000000 4054 1069.000000 1635.000000 1895.000000 4888.000000 72 2334.000000 5774.000000 3850.000000 14 8814.000000 529.000000 339.000000 588.000000 648.000000 1870.000000 10 150.000000 518.000000 4162.000000 na
65 - 69 15607.000000 2122.000000 385.000000 522.000000 898.000000 3964.000000 29 1005.000000 2310.000000 4372.000000 na 12150.000000 1852 350.000000 441.000000 759.000000 3074.000000 24 929.000000 2191.000000 2530.000000 na 3457.000000 269.000000 35.000000 81.000000 139.000000 890.000000 5 76.000000 119.000000 1842.000000 na
70 & Over 8597.000000 1747.000000 230.000000 281.000000 515.000000 2673.000000 5 283.000000 517.000000 2347.000000 na 6681.000000 1489 215.000000 276.000000 457.000000 2075.000000 5 250.000000 498.000000 1416.000000 na 1916.000000 258.000000 14.000000 5.000000 57.000000 597.000000 na 33.000000 19.000000 932.000000 na

字段

字段 类型 分类字段
Number Text 否
(Total) Total Numeric 否
(Total) Senior Officials & Managers Numeric 否
(Total) Professionals Numeric 否
(Total) Associate Professionals & Technicians Numeric 否
(Total) Clerical Workers Numeric 否
(Total) Service & Sales Workers Numeric 否
(Total) Agricultural & Fishery Workers Text 否
(Total) Production Craftsmen & Related Workers Numeric 否
(Total) Plant & Machine Operators & Assemblers Numeric 否
(Total) Cleaners, Labourers & Related Workers Numeric 否
(Total) Workers Not Classifiable By Occupation Text 否
(Males) Total Numeric 否
(Males) Senior Officials & Managers Text 否
(Males) Professionals Numeric 否
(Males) Associate Professionals & Technicians Numeric 否
(Males) Clerical Workers Numeric 否
(Males) Service & Sales Workers Numeric 否
(Males) Agricultural & Fishery Workers Text 否
(Males) Production Craftsmen & Related Workers Numeric 否
(Males) Plant & Machine Operators & Assemblers Numeric 否
(Males) Cleaners, Labourers & Related Workers Numeric 否
(Males) Workers Not Classifiable By Occupation Text 否
(Females) Total Numeric 否
(Females) Senior Officials & Managers Numeric 否
(Females) Professionals Numeric 否
(Females) Associate Professionals & Technicians Numeric 否
(Females) Clerical Workers Numeric 否
(Females) Service & Sales Workers Numeric 否
(Females) Agricultural & Fishery Workers Text 否
(Females) Production Craftsmen & Related Workers Numeric 否
(Females) Plant & Machine Operators & Assemblers Numeric 否
(Females) Cleaners, Labourers & Related Workers Numeric 否
(Females) Workers Not Classifiable By Occupation Text 否