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D

Employed Residents Aged 15 Years and Over by Industry, Ethnic Group and Sex (Census of Population 2020)

What this data shows

Published by Singapore Department of Statistics. 17 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (16 columns in total). Last updated 2026-09-06.

Description

Census of Population 2020 counts of employed Singapore residents aged 15 and over by industry, ethnic group (Chinese, Malay, Indian, Others), and sex. The Singapore Department of Statistics CSV enables labour-force composition studies, diversity in sectors, and gender gaps at the decennial benchmark. Adapted from SingStat TableBuilder CT/17550.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 18/06/2021 Update Frequency: 10 years Survey period: Census of Population 2020 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17550

Last updated
Rows
17
Columns
16

Chart

Values are summed where multiple rows share the same category.

Data

Number (Total) Total (Total) Males (Total) Females (Chinese) Total (Chinese) Males (Chinese) Females (Malays) Total (Malays) Males (Malays) Females (Indians) Total (Indians) Males
Total 2208358.000000 1178431.000000 1029927.000000 1682947.000000 876157.000000 806791.000000 266642.000000 154040.000000 112602.000000 189780.000000 112083.000000
Manufacturing 220613.000000 139406.000000 81207.000000 173959.000000 105122.000000 68837.000000 21980.000000 15743.000000 6237.000000 18190.000000 13980.000000
Construction 91132.000000 63476.000000 27657.000000 75042.000000 51985.000000 23057.000000 6156.000000 4525.000000 1630.000000 7132.000000 5083.000000
Services 1876083.000000 960971.000000 915112.000000 1421607.000000 711187.000000 710420.000000 232909.000000 129160.000000 103750.000000 162089.000000 91060.000000
Wholesale & Retail Trade 328010.000000 163178.000000 164832.000000 274191.000000 134471.000000 139720.000000 24326.000000 12030.000000 12296.000000 19627.000000 11871.000000
Transportation & Storage 210873.000000 158968.000000 51905.000000 144140.000000 106748.000000 37392.000000 44602.000000 34999.000000 9602.000000 18047.000000 14268.000000
Accommodation & Food Services 133315.000000 57821.000000 75495.000000 102289.000000 44778.000000 57511.000000 16064.000000 6745.000000 9319.000000 9192.000000 4711.000000
Information & Communications 108248.000000 63262.000000 44986.000000 82169.000000 47425.000000 34745.000000 8542.000000 4630.000000 3912.000000 12893.000000 8446.000000
Financial & Insurance Services 203220.000000 96327.000000 106893.000000 167893.000000 75412.000000 92482.000000 12808.000000 6298.000000 6510.000000 15585.000000 10386.000000
Real Estate Services 53754.000000 27016.000000 26738.000000 42811.000000 20500.000000 22310.000000 6267.000000 3905.000000 2362.000000 3525.000000 2077.000000

Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.

Columns

Column Type Categorical
Number Text No
(Total) Total Numeric No
(Total) Males Numeric No
(Total) Females Numeric No
(Chinese) Total Numeric No
(Chinese) Males Numeric No
(Chinese) Females Numeric No
(Malays) Total Numeric No
(Malays) Males Numeric No
(Malays) Females Numeric No
(Indians) Total Numeric No
(Indians) Males Numeric No
(Indians) Females Numeric No
(Others) Total Numeric No
(Others) Males Numeric No
(Others) Females Numeric No