全职就业居民就业月薪中位数(含雇主公积金,按职业与性别)
简介
本数据集由新加坡统计局根据人力部综合劳动力调查发布,以CSV提供2001至2024年每年六月底全职就业居民就业总月薪中位数(含雇主公积金,按职业与性别),便于比较各职业薪酬;注意2009年全职工时定义变化及SSOC 2020映射。改编自:https://tablebuilder.singstat.gov.sg/table/TS/M920131
官方简介
来源:人力部。 数据最后更新:2026年5月19日 更新频率:年度 脚注:1. 数据来自综合劳动力调查。2. 居民指新加坡公民与永久居民。3. 数据不包括全职国民服役人员。4. 2009年以前,全职就业指每周正常工作时间达30小时或以上;2009年起指每周正常工作时间达35小时或以上。5. 数据按《新加坡标准职业分类》(SSOC)2020分类。往年按较早版SSOC编码的数据已尽量映射至SSOC 2020以便比较。2006年因职业明细不足以支持映射而无数据。6. 就业总月薪指来自就业的收入。对雇员而言,指扣除雇员公积金缴交额与个人所得税前的总月工资或薪金,包括基本工资、加班费、佣金、小费、其他津贴及年终奖金的十二分之一。对自雇人士而言,指其业务、贸易或专业的平均每月利润(即总收入减去业务开支)并扣除所得税前金额。7. 因数据来自抽样调查,同比收入变动易波动,应谨慎解读;较长时间(如5至10年)更宜观察收入增长。8. 2005年因开展统计局一般住户调查而未进行综合劳动力调查,故无数据。9. 2007年6月数据已按统计局最新修订人口估计调整,以便与2008年6月及以后数据比较。 改编自:https://tablebuilder.singstat.gov.sg/table/TS/M920131
- 最近更新
- 覆盖范围
- 2001-01-01 – 2024-12-31
- 行数
- 16
- 列数
- 23
图表
当多行属于同一类别时,数值会被求和。
数据
| Data Series | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2004 | 2003 | 2002 | 2001 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Managers & Administrators (Including Working Proprietors) - Male | 11156.000000 | 11297.000000 | 10586.000000 | 9975.000000 | 10075.000000 | 10190.000000 | 10146.000000 | 9556.000000 | 9304.000000 | 9025.000000 | 9000.000000 | 8192.000000 | 7500.000000 | 7000.000000 | 6081.000000 | 5934.000000 | 6000.000000 | 5400.000000 | 4896.000000 | 5000.000000 | 5000.000000 | 4930.000000 |
| Managers & Administrators (Including Working Proprietors) - Female | 10211.000000 | 10020.000000 | 9800.000000 | 9251.000000 | 9800.000000 | 9421.000000 | 9583.000000 | 9020.000000 | 9020.000000 | 8425.000000 | 8003.000000 | 7244.000000 | 6938.000000 | 6485.000000 | 5582.000000 | 5353.000000 | 5769.000000 | 5085.000000 | 4896.000000 | 4776.000000 | 4640.000000 | 4736.000000 |
| Professionals - Male | 9156.000000 | 8620.000000 | 8190.000000 | 7371.000000 | 7371.000000 | 7805.000000 | 7605.000000 | 7605.000000 | 7220.000000 | 7103.000000 | 6766.000000 | 6350.000000 | 6000.000000 | 5835.000000 | 5344.000000 | 5344.000000 | 5344.000000 | 4896.000000 | 4520.000000 | 4640.000000 | 4640.000000 | 4640.000000 |
| Professionals - Female | 7722.000000 | 7520.000000 | 7220.000000 | 6542.000000 | 6435.000000 | 6580.000000 | 6435.000000 | 6338.000000 | 6201.000000 | 6139.000000 | 5606.000000 | 5414.000000 | 5041.000000 | 4879.000000 | 4617.000000 | 4509.000000 | 4351.000000 | 3955.000000 | 3673.000000 | 3770.000000 | 3770.000000 | 3770.000000 |
| Associate Professionals & Technicians - Male | 4808.000000 | 4680.000000 | 4563.000000 | 4212.000000 | 4241.000000 | 4563.000000 | 4437.000000 | 4374.000000 | 4183.000000 | 4095.000000 | 4057.000000 | 3915.000000 | 3770.000000 | 3500.000000 | 3221.000000 | 3221.000000 | 3396.000000 | 3060.000000 | 3051.000000 | 3132.000000 | 3132.000000 | 3141.000000 |
| Associate Professionals & Technicians - Female | 4680.000000 | 4680.000000 | 4437.000000 | 4095.000000 | 4095.000000 | 4307.000000 | 4182.000000 | 4095.000000 | 4022.000000 | 3990.000000 | 3924.000000 | 3770.000000 | 3654.000000 | 3503.000000 | 3101.000000 | 3263.000000 | 3263.000000 | 2862.000000 | 2816.000000 | 2706.000000 | 2842.000000 | 2706.000000 |
| Clerical Support Workers - Male | 3358.000000 | 3194.000000 | 2984.000000 | 2905.000000 | 2662.000000 | 2779.000000 | 2691.000000 | 2662.000000 | 2535.000000 | 2535.000000 | 2514.000000 | 2514.000000 | 2354.000000 | 2252.000000 | 2138.000000 | 2110.000000 | 2138.000000 | 2034.000000 | 1845.000000 | 2030.000000 | 2088.000000 | 1972.000000 |
| Clerical Support Workers - Female | 3510.000000 | 3413.000000 | 3296.000000 | 3066.000000 | 2916.000000 | 3060.000000 | 2983.000000 | 2936.000000 | 2825.000000 | 2862.000000 | 2683.000000 | 2706.000000 | 2597.000000 | 2470.000000 | 2420.000000 | 2357.000000 | 2353.000000 | 2184.000000 | 2034.000000 | 2088.000000 | 2088.000000 | 2103.000000 |
| Service & Sales Workers - Male | 3359.000000 | 3038.000000 | 3042.000000 | 2925.000000 | 2633.000000 | 2849.000000 | 2662.000000 | 2535.000000 | 2500.000000 | 2340.000000 | 2320.000000 | 2262.000000 | 2128.000000 | 2002.000000 | 1984.000000 | 1832.000000 | 1861.000000 | 1713.000000 | 1695.000000 | 1740.000000 | 1740.000000 | 1740.000000 |
| Service & Sales Workers - Female | 2916.000000 | 2535.000000 | 2409.000000 | 2340.000000 | 2195.000000 | 2340.000000 | 2260.000000 | 2125.000000 | 2017.000000 | 1901.000000 | 1885.000000 | 1885.000000 | 1700.000000 | 1625.000000 | 1500.000000 | 1472.000000 | 1381.000000 | 1356.000000 | 1243.000000 | 1300.000000 | 1276.000000 | 1256.000000 |
| Craftsmen & Related Trades Workers - Male | 3189.000000 | 3000.000000 | 2890.000000 | 2925.000000 | 2765.000000 | 3168.000000 | 2853.000000 | 2788.000000 | 2730.000000 | 2662.000000 | 2514.000000 | 2533.000000 | 2416.000000 | 2342.000000 | 2347.000000 | 2239.000000 | 2025.000000 | 2000.000000 | 1836.000000 | 1914.000000 | 1885.000000 | 1958.000000 |
| Craftsmen & Related Trades Workers - Female | 2422.000000 | 2319.000000 | 2150.000000 | 2202.000000 | 2106.000000 | 2362.000000 | 2167.000000 | 2167.000000 | 2028.000000 | 1775.000000 | 1853.000000 | 1490.000000 | 1500.000000 | 1431.000000 | 1356.000000 | 1400.000000 | 1263.000000 | 1271.000000 | 1224.000000 | 1209.000000 | 1160.000000 | 1256.000000 |
| Plant & Machine Operators & Assemblers - Male | 2698.000000 | 2500.000000 | 2421.000000 | 2155.000000 | 2000.000000 | 2340.000000 | 2282.000000 | 2017.000000 | 2045.000000 | 2030.000000 | 2000.000000 | 2000.000000 | 1837.000000 | 1800.000000 | 1718.000000 | 1658.000000 | 1613.000000 | 1500.000000 | 1526.000000 | 1571.000000 | 1624.000000 | 1734.000000 |
| Plant & Machine Operators & Assemblers - Female | 2535.000000 | 2106.000000 | 2000.000000 | 2112.000000 | 1901.000000 | 1840.000000 | 1755.000000 | 1609.000000 | 1591.000000 | 1624.000000 | 1528.000000 | 1446.000000 | 1276.000000 | 1246.000000 | 1214.000000 | 1145.000000 | 1138.000000 | 1102.000000 | 1054.000000 | 1114.000000 | 1131.000000 | 1148.000000 |
| Cleaners, Labourers & Related Workers - Male | 2087.000000 | 1872.000000 | 1851.000000 | 1718.000000 | 1631.000000 | 1638.000000 | 1635.000000 | 1505.000000 | 1526.000000 | 1411.000000 | 1331.000000 | 1276.000000 | 1149.000000 | 1200.000000 | 1180.000000 | 1117.000000 | 1088.000000 | 1069.000000 | 1130.000000 | 1160.000000 | 1160.000000 | 1160.000000 |
| Cleaners, Labourers & Related Workers - Female | 2051.000000 | 1832.000000 | 1669.000000 | 1635.000000 | 1521.000000 | 1521.000000 | 1476.000000 | 1404.000000 | 1347.000000 | 1287.000000 | 1197.000000 | 1097.000000 | 1012.000000 | 975.000000 | 916.000000 | 877.000000 | 877.000000 | 872.000000 | 904.000000 | 928.000000 | 906.000000 | 928.000000 |
字段
| 字段 | 类型 | 分类字段 |
|---|---|---|
| Data Series | Text | 否 |
| 2024 | Numeric | 否 |
| 2023 | Numeric | 否 |
| 2022 | Numeric | 否 |
| 2021 | Numeric | 否 |
| 2020 | Numeric | 否 |
| 2019 | Numeric | 否 |
| 2018 | Numeric | 否 |
| 2017 | Numeric | 否 |
| 2016 | Numeric | 否 |
| 2015 | Numeric | 否 |
| 2014 | Numeric | 否 |
| 2013 | Numeric | 否 |
| 2012 | Numeric | 否 |
| 2011 | Numeric | 否 |
| 2010 | Numeric | 否 |
| 2009 | Numeric | 否 |
| 2008 | Numeric | 否 |
| 2007 | Numeric | 否 |
| 2004 | Numeric | 否 |
| 2003 | Numeric | 否 |
| 2002 | Numeric | 否 |
| 2001 | Numeric | 否 |