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D

Residents Outside the Labour Force by Highest Qualification Attained, Age And Sex

What this data shows

Published by Ministry of Manpower. 4,608 records. Fields include Year, Sex, Highest Qualification, Age (5 columns in total). Covers 1991-01-01 to 2025-01-01. Last updated 2026-03-27.

Description

Ministry of Manpower CSV counts of Singapore residents outside the labour force by highest qualification attained, age, and sex for June reference months from 1991 through 2025. Gaps in 1995, 2000, and 2005 reflect census and General Household Survey years. Labour-market analysts profile who stays out of the workforce across education and demographic groups.

Official description

1. Reference month of June 2. Residents refer to Singapore Citizens and Permanent Residents. 3. 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 Population Census 2000 and General Household Surveys 1995 and 2005 by the Singapore Department of Statistics. 4. 2007 data have been adjusted based on latest revised population estimates from the Singapore Department of Statistics to facilitate comparisons with 2008 onwards. Source: Comprehensive Labour Force Survey, Manpower Research & Statistics Department, MOM

Last updated
Coverage
1991-01-01 – 2025-01-01
Rows
4,608
Columns
5

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Values are summed where multiple rows share the same category.

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Data

Year Sex Highest Qualification Age Outside The Labour Force
1991 male primary and below 15-19 7000.000000
1991 male primary and below 20-24 1000.000000
1991 male primary and below 25-29 1100.000000
1991 male primary and below 30-34 1100.000000
1991 male primary and below 35-39 600.000000
1991 male primary and below 40-44 1000.000000
1991 male primary and below 45-49 1600.000000
1991 male primary and below 50-54 3300.000000
1991 male primary and below 55-59 10200.000000
1991 male primary and below 60-64 18200.000000

Preview shows 10 rows and 5 columns. Use the table search or download the CSV for the full data.

Columns

Column Type Categorical
Year Year (YYYY) Yes
Sex Text Yes
Highest Qualification Text Yes
Age Text Yes
Outside The Labour Force Numeric Yes