2000年人口普查:在职居民(职业、工时、性别)
简介
2000年人口普查统计15岁及以上在职新加坡居民,按职业、通常工作时间及性别分类。新加坡统计局CSV提供详细交叉表,可用于分析劳动力结构、工作强度及就业性别差异。适合历史劳动力研究及新加坡普查职业统计检索。
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。调查时期:2000年人口普查。改编自:https://tablebuilder.singstat.gov.sg/table/CT/8981
- 最近更新
- 行数
- 11
- 列数
- 31
图表
当多行属于同一类别时,数值会被求和。
数据
| Number | (Total) Total | (Total) Males | (Total) Females | (Below 30) Total | (Below 30) Males | (Below 30) Females | (30 - 34) Total | (30 - 34) Males | (30 - 34) Females | (35 - 39) Total | (35 - 39) Males | (35 - 39) Females | (40 - 44) Total | (40 - 44) Males | (40 - 44) Females | (45 - 49) Total | (45 - 49) Males | (45 - 49) Females | (50 - 54) Total | (50 - 54) Males | (50 - 54) Females | (55 - 59) Total | (55 - 59) Males | (55 - 59) Females | (60 - 64) Total | (60 - 64) Males | (60 - 64) Females | (65 & Over) Total | (65 & Over) Males | (65 & Over) Females |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 1482579.000000 | 889482.000000 | 593097.000000 | 63191.000000 | 26487.000000 | 36705.000000 | 27432.000000 | 13387.000000 | 14045 | 31085.000000 | 14146.000000 | 16940 | 595950.000000 | 313095.000000 | 282856.000000 | 280462.000000 | 167159.000000 | 113303.000000 | 159402.000000 | 105207.000000 | 54195.000000 | 72181.000000 | 50891.000000 | 21290.000000 | 109744.000000 | 82475.000000 | 27270 | 143131.000000 | 116637.000000 | 26494.000000 |
| Senior Officials & Managers | 211835.000000 | 158980.000000 | 52855.000000 | 5653.000000 | 3545.000000 | 2107.000000 | 2268.000000 | 1485.000000 | 783 | 2388.000000 | 1538.000000 | 850 | 66015.000000 | 45858.000000 | 20156.000000 | 31059.000000 | 23063.000000 | 7996.000000 | 30664.000000 | 23281.000000 | 7383.000000 | 13867.000000 | 10630.000000 | 3237.000000 | 25910.000000 | 20914.000000 | 4996 | 34012.000000 | 28665.000000 | 5347.000000 |
| Professionals | 150265.000000 | 86375.000000 | 63890.000000 | 4968.000000 | 1807.000000 | 3161.000000 | 2414.000000 | 878.000000 | 1536 | 3385.000000 | 1488.000000 | 1896 | 64479.000000 | 36547.000000 | 27931.000000 | 23912.000000 | 13884.000000 | 10029.000000 | 22782.000000 | 13528.000000 | 9254.000000 | 8657.000000 | 5322.000000 | 3335.000000 | 11084.000000 | 7218.000000 | 3866 | 8586.000000 | 5703.000000 | 2883.000000 |
| Associate Professionals & Technicians | 283361.000000 | 153928.000000 | 129433.000000 | 11942.000000 | 4322.000000 | 7620.000000 | 5042.000000 | 1865.000000 | 3176 | 5724.000000 | 2617.000000 | 3107 | 144381.000000 | 73601.000000 | 70780.000000 | 48304.000000 | 26790.000000 | 21514.000000 | 29379.000000 | 17199.000000 | 12180.000000 | 11101.000000 | 7424.000000 | 3677.000000 | 14261.000000 | 9992.000000 | 4270 | 13225.000000 | 10117.000000 | 3109.000000 |
| Clerical Workers | 213588.000000 | 49485.000000 | 164103.000000 | 8611.000000 | 1114.000000 | 7497.000000 | 2623.000000 | 454.000000 | 2169 | 4039.000000 | 758.000000 | 3281 | 129310.000000 | 26542.000000 | 102767.000000 | 38636.000000 | 9712.000000 | 28924.000000 | 16213.000000 | 4801.000000 | 11412.000000 | 5075.000000 | 1717.000000 | 3358.000000 | 5057.000000 | 2253.000000 | 2804 | 4025.000000 | 2134.000000 | 1891.000000 |
| Service & Sales Workers | 182966.000000 | 106867.000000 | 76099.000000 | 10934.000000 | 3816.000000 | 7118.000000 | 5156.000000 | 1913.000000 | 3243 | 4880.000000 | 2205.000000 | 2675 | 42594.000000 | 24086.000000 | 18508.000000 | 40124.000000 | 22397.000000 | 17727.000000 | 17520.000000 | 10231.000000 | 7288.000000 | 10356.000000 | 6287.000000 | 4069.000000 | 18307.000000 | 11701.000000 | 6606 | 33095.000000 | 24230.000000 | 8865.000000 |
| Agricultural & Fishery Workers | 1158.000000 | 1034.000000 | 124.000000 | 53.000000 | 39.000000 | 14.000000 | 29.000000 | 29.000000 | na | 29.000000 | 29.000000 | na | 257.000000 | 219.000000 | 38.000000 | 204.000000 | 180.000000 | 24.000000 | 91.000000 | 77.000000 | 14.000000 | 146.000000 | 132.000000 | 14.000000 | 58.000000 | 58.000000 | na | 291.000000 | 272.000000 | 19.000000 |
| Production Craftsmen & Related Workers | 106753.000000 | 97569.000000 | 9184.000000 | 3749.000000 | 3154.000000 | 595.000000 | 2156.000000 | 1978.000000 | 178 | 1549.000000 | 1270.000000 | 279 | 37091.000000 | 33453.000000 | 3638.000000 | 27130.000000 | 24827.000000 | 2302.000000 | 12305.000000 | 11499.000000 | 807.000000 | 5038.000000 | 4610.000000 | 429.000000 | 8721.000000 | 8261.000000 | 459 | 9014.000000 | 8516.000000 | 497.000000 |
| Plant & Machine Operators & Assemblers | 178752.000000 | 130437.000000 | 48315.000000 | 5620.000000 | 3999.000000 | 1621.000000 | 2946.000000 | 2251.000000 | 695 | 5007.000000 | 2250.000000 | 2756 | 60269.000000 | 37792.000000 | 22477.000000 | 39929.000000 | 26662.000000 | 13266.000000 | 15810.000000 | 13358.000000 | 2452.000000 | 10294.000000 | 8985.000000 | 1309.000000 | 15517.000000 | 13226.000000 | 2291 | 23360.000000 | 21913.000000 | 1448.000000 |
| Cleaners, Labourers & Related Workers | 101149.000000 | 54279.000000 | 46870.000000 | 11273.000000 | 4335.000000 | 6938.000000 | 4683.000000 | 2438.000000 | 2245 | 3839.000000 | 1753.000000 | 2085 | 32149.000000 | 16812.000000 | 15337.000000 | 24058.000000 | 12963.000000 | 11095.000000 | 7876.000000 | 4782.000000 | 3094.000000 | 4717.000000 | 2934.000000 | 1783.000000 | 5431.000000 | 3511.000000 | 1920 | 7124.000000 | 4752.000000 | 2373.000000 |
| Workers Not Classifiable By Occupation | 52752.000000 | 50530.000000 | 2222.000000 | 390.000000 | 356.000000 | 33.000000 | 115.000000 | 96.000000 | 19 | 245.000000 | 236.000000 | 10 | 19406.000000 | 18183.000000 | 1223.000000 | 7106.000000 | 6680.000000 | 425.000000 | 6762.000000 | 6451.000000 | 311.000000 | 2930.000000 | 2849.000000 | 81.000000 | 5399.000000 | 5341.000000 | 57 | 10398.000000 | 10336.000000 | 62.000000 |
字段
| 字段 | 类型 | 分类字段 |
|---|---|---|
| Number | Text | 否 |
| (Total) Total | Numeric | 否 |
| (Total) Males | Numeric | 否 |
| (Total) Females | Numeric | 否 |
| (Below 30) Total | Numeric | 否 |
| (Below 30) Males | Numeric | 否 |
| (Below 30) Females | Numeric | 否 |
| (30 - 34) Total | Numeric | 否 |
| (30 - 34) Males | Numeric | 否 |
| (30 - 34) Females | Text | 否 |
| (35 - 39) Total | Numeric | 否 |
| (35 - 39) Males | Numeric | 否 |
| (35 - 39) Females | Text | 否 |
| (40 - 44) Total | Numeric | 否 |
| (40 - 44) Males | Numeric | 否 |
| (40 - 44) Females | Numeric | 否 |
| (45 - 49) Total | Numeric | 否 |
| (45 - 49) Males | Numeric | 否 |
| (45 - 49) Females | Numeric | 否 |
| (50 - 54) Total | Numeric | 否 |
| (50 - 54) Males | Numeric | 否 |
| (50 - 54) Females | Numeric | 否 |
| (55 - 59) Total | Numeric | 否 |
| (55 - 59) Males | Numeric | 否 |
| (55 - 59) Females | Numeric | 否 |
| (60 - 64) Total | Numeric | 否 |
| (60 - 64) Males | Numeric | 否 |
| (60 - 64) Females | Text | 否 |
| (65 & Over) Total | Numeric | 否 |
| (65 & Over) Males | Numeric | 否 |
| (65 & Over) Females | Numeric | 否 |