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Resident Population Aged 15 Years and Over by Language Literate In, Economic Status and Sex (General Household Survey 2015)

What this data shows

Published by Singapore Department of Statistics. 19 records. Fields include Thousands, (Total) Total, (Total) Males, (Total) Females (16 columns in total). Last updated 2026-09-04.

Description

General Household Survey 2015 estimates in thousands of Singapore residents aged 15 and over by language literate in, economic status, and sex. Economic status splits into economically active, further divided into working and unemployed, and economically inactive, each with total, male, and female counts. Labour and language researchers use the CSV to relate literacy to labour force participation. Adapted from SingStat TableBuilder CT/8431.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 16/03/2016 Update Frequency: 10 years Survey period: General Household Survey 2015 Footnotes: For more information, please refer to the publication on 'General Household Survey 2015' (https://www.singstat.gov.sg/find-data/explore-data-themes/population/education-language-spoken-and-literacy/related-information). Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8431

Last updated
Rows
19
Columns
16

Chart

Values are summed where multiple rows share the same category.

Data

Thousands (Total) Total (Total) Males (Total) Females (Economically Active- Total) Total (Economically Active- Total) Males (Economically Active- Total) Females (Economically Active- Working) Total (Economically Active- Working) Males (Economically Active- Working) Females (Economically Active- Unemployed) Total (Economically Active- Unemployed) Males
Total 3275.900000 1589.600000 1686.300000 2236.600000 1218.900000 1017.700000 2151.900000 1174.500000 977.400000 84.700000 44.400000
Not Literate 104.000000 22.900000 81.100000 22.800000 10.000000 12.700000 21.700000 9.500000 12.200000 1.000000 0.600000
Literate 3171.800000 1566.700000 1605.200000 2213.800000 1208.800000 1005.000000 2130.200000 1165.000000 965.200000 83.600000 43.800000
One Language Only 850.200000 411.800000 438.500000 484.900000 279.500000 205.400000 468.300000 269.300000 199.100000 16.500000 10.200000
English Only 324.800000 191.900000 132.900000 210.900000 136.200000 74.600000 201.300000 130.000000 71.200000 9.600000 6.200000
Chinese Only 472.200000 204.600000 267.600000 255.900000 134.600000 121.300000 249.800000 130.900000 119.000000 6.100000 3.700000
Malay Only 39.800000 12.600000 27.300000 12.800000 6.900000 5.900000 12.200000 6.700000 5.500000 0.600000 0.200000
Tamil Only 9.600000 2.400000 7.200000 3.600000 1.500000 2.000000 3.500000 1.500000 2.000000 0.100000 0.000000
Non-Official Language Only 3.700000 0.300000 3.500000 1.800000 0.200000 1.500000 1.600000 0.200000 1.400000 0.200000 0.100000
Two Languages Only 2152.600000 1073.600000 1079.000000 1591.800000 857.500000 734.400000 1528.700000 825.500000 703.200000 63.200000 32.000000

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

Columns

Column Type Categorical
Thousands Text No
(Total) Total Numeric No
(Total) Males Numeric No
(Total) Females Numeric No
(Economically Active- Total) Total Numeric No
(Economically Active- Total) Males Numeric No
(Economically Active- Total) Females Numeric No
(Economically Active- Working) Total Numeric No
(Economically Active- Working) Males Numeric No
(Economically Active- Working) Females Numeric No
(Economically Active- Unemployed) Total Numeric No
(Economically Active- Unemployed) Males Numeric No
(Economically Active- Unemployed) Females Numeric No
(Economically Inactive) Total Numeric No
(Economically Inactive) Males Numeric No
(Economically Inactive) Females Numeric No