Skip to content
D

Resident Working Persons Aged 15 Years and Over by Industry, Highest Qualification Attained and Sex (Census of Population 2000)

What this data shows

Published by Singapore Department of Statistics. 12 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (28 columns in total). Last updated 2026-09-21.

Description

Census of Population 2000 counts of Singapore resident working persons aged 15 and over by industry, highest qualification attained, and sex, published by the Singapore Department of Statistics in CSV. Education and labour researchers link qualification levels to industry employment patterns at the 2000 census.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 31/03/2016 Update Frequency: 10 years Survey period: Census of Population 2000 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8932

Last updated
Rows
12
Columns
28

Chart

Values are summed where multiple rows share the same category.

Data

Number (Total) Total (Total) Males (Total) Females (No Qualification) Total (No Qualification) Males (No Qualification) Females (Primary) Total (Primary) Males (Primary) Females (Lower Secondary) Total (Lower Secondary) Males
Total 1482579.000000 889482.000000 593097.000000 141973.000000 87075.000000 54898.000000 144106.000000 97808.000000 46298.000000 160567.000000 109530.000000
Goods Producing Industries 391674.000000 261743.000000 129931.000000 44008.000000 28020.000000 15988.000000 49621.000000 32333.000000 17289.000000 49380.000000 33634.000000
Manufacturing 289661.000000 176451.000000 113210.000000 29892.000000 14760.000000 15132.000000 34893.000000 18392.000000 16502.000000 34117.000000 19667.000000
Construction 90894.000000 76313.000000 14581.000000 12881.000000 12232.000000 649.000000 13454.000000 12758.000000 696.000000 14140.000000 12886.000000
Other Goods Industries* 11119.000000 8979.000000 2140.000000 1235.000000 1028.000000 207.000000 1274.000000 1183.000000 91.000000 1124.000000 1081.000000
Services Producing Industries 1090905.000000 627739.000000 463166.000000 97965.000000 59055.000000 38910.000000 94485.000000 65476.000000 29009.000000 111187.000000 75896.000000
Wholesale & Retail Trade 253673.000000 148140.000000 105532.000000 24280.000000 15927.000000 8353.000000 27002.000000 18038.000000 8964.000000 33673.000000 21135.000000
Hotels & Restaurants 93184.000000 47409.000000 45775.000000 26213.000000 11121.000000 15092.000000 18742.000000 9401.000000 9342.000000 16085.000000 8952.000000
Transport & Communications 178038.000000 132810.000000 45228.000000 15696.000000 14394.000000 1301.000000 20727.000000 19445.000000 1282.000000 25929.000000 23187.000000
Financial Services 87156.000000 34846.000000 52310.000000 686.000000 379.000000 307.000000 1199.000000 868.000000 331.000000 2477.000000 1574.000000

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
(No Qualification) Total Numeric No
(No Qualification) Males Numeric No
(No Qualification) Females Numeric No
(Primary) Total Numeric No
(Primary) Males Numeric No
(Primary) Females Numeric No
(Lower Secondary) Total Numeric No
(Lower Secondary) Males Numeric No
(Lower Secondary) Females Numeric No
(Secondary) Total Numeric No
(Secondary) Males Numeric No
(Secondary) Females Numeric No
(Upper Secondary) Total Numeric No
(Upper Secondary) Males Numeric No
(Upper Secondary) Females Numeric No
(Polytechnic) Total Numeric No
(Polytechnic) Males Numeric No
(Polytechnic) Females Numeric No
(Other Diploma) Total Numeric No
(Other Diploma) Males Numeric No
(Other Diploma) Females Numeric No
(University) Total Numeric No
(University) Males Numeric No
(University) Females Numeric No