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Number Of Employers By Sex, End June, Annual

Description

Annual end-June counts of employers in Singapore by sex, sourced from the Comprehensive Labour Force Survey and published via SingStat with MOM attribution. The wide-format CSV provides data series labels with columns for years 1991 through 2024, noting gaps in 1995, 2000, and 2005. Entrepreneurs and labour analysts study gender representation among employers who hire at least one paid employee. Residents are defined as citizens and permanent residents.

Official description

Source: MINISTRY OF MANPOWER Data Last Updated: 19/05/2026 Update Frequency: Annual Footnotes: 1. Data are from Comprehensive Labour Force Survey. 2. Residents refer to Singapore Citizens and Permanent Residents. 3. Employers refer to persons who employ at least one paid employee in their business or trade. 4. Data for 1995, 2000 and 2005 are not available as the Comprehensive Labour Force Survey was not conducted in these years due to the conduct of the Census and General Household Survey by the Singapore Department of Statistics. 5. June 2007 data have been adjusted based on latest revised population estimates from DOS to facilitate comparisons with June 2008 onwards. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M920161

Last updated
Coverage
1991-01-01 – 2024-12-31
Rows
3
Columns
32

Chart

Values are summed where multiple rows share the same category.

Data

Data Series 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2004 2003 2002 2001 1999 1998 1997 1996 1994 1993 1992 1991
Total 83.300000 74.100000 95.400000 89.800000 97.600000 95.000000 96.100000 105.500000 115.300000 122.800000 112.200000 128.700000 123.300000 108.200000 104.400000 91.900000 94.400000 92.000000 91.400000 88.400000 83.900000 81.900000 81.800000 92.300000 77.800000 86.000000 87.500000 87.300000 87.800000 86.300000 75.100000
Male 58.800000 54.400000 66.400000 66.000000 68.400000 68.100000 69.500000 77.500000 83.100000 88.100000 81.100000 90.300000 89.600000 79.000000 78.000000 69.500000 71.500000 70.800000 69.300000 70.700000 67.400000 66.000000 68.100000 76.900000 66.300000 71.700000 74.000000 73.900000 74.900000 73.600000 63.300000
Female 24.500000 19.700000 29.000000 23.800000 29.100000 26.900000 26.700000 28.000000 32.100000 34.700000 31.100000 38.400000 33.700000 29.200000 26.400000 22.400000 22.900000 21.200000 22.100000 17.700000 16.600000 15.900000 13.700000 15.500000 11.500000 14.300000 13.500000 13.400000 12.800000 12.600000 11.800000

Columns

Column Type Categorical
Data Series Text No
2024 Numeric No
2023 Numeric No
2022 Numeric No
2021 Numeric No
2020 Numeric No
2019 Numeric No
2018 Numeric No
2017 Numeric No
2016 Numeric No
2015 Numeric No
2014 Numeric No
2013 Numeric No
2012 Numeric No
2011 Numeric No
2010 Numeric No
2009 Numeric No
2008 Numeric No
2007 Numeric No
2006 Numeric No
2004 Numeric No
2003 Numeric No
2002 Numeric No
2001 Numeric No
1999 Numeric No
1998 Numeric No
1997 Numeric No
1996 Numeric No
1994 Numeric No
1993 Numeric No
1992 Numeric No
1991 Numeric No