CSV Singapore Department of Statistics

Singapore Residents Aged 25 Years & Over By Highest Qualification Attained, Sex And Age Group, Annual

Name: Singapore Residents Aged 25 Years & Over By Highest Qualification Attained, Sex And Age Group, Annual
Creator: Singapore Department of Statistics
License: https://data.gov.sg/open-data-licence

What this data shows

Published by Singapore Department of Statistics. 180 records. Fields include Data Series, 2025, 2024, 2023 (37 columns in total). Covers 1990-01-01 to 2025-12-31. Last updated 2026-09-02.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 30/06/2026 Update Frequency: Annual Footnotes: Data pertain to residents who were not attending educational institutions as full-time students and include those who were upgrading their qualifications through part-time courses. For more information, please refer to the 'Population Trends' publication (https://www.singstat.gov.sg/publication-resources/population-trends-2025). Data for 1990, 2000, 2010 and 2020 are based on the Census of Population while data for 1995, 2005, 2015 and 2025 are based on the General Household Survey. Data for all other years are based on the Comprehensive June Labour Force Survey. Survey estimates are subject to sampling variability. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M850581

Download CSV View on data.gov.sg

Last updated: 2026-09-02
Coverage: 1990-01-01 – 2025-12-31
Rows: 180
Columns: 37

Chart

Values are summed where multiple rows share the same category.

Data

Data Series	2025	2024	2023	2022	2021	2020	2019	2018	2017	2016	2015
Total	3198600.000000	3145000.000000	3100900.000000	3085300.000000	2978300.000000	2977800.000000	2922700.000000	2877000.000000	2846000.000000	2795200.000000	2750900.000000
25 - 29 Years	204700.000000	222000.000000	238000.000000	215400.000000	254800.000000	268900.000000	252300.000000	251800.000000	242300.000000	253000.000000	232800.000000
30 - 34 Years	298100.000000	293200.000000	307600.000000	305500.000000	325600.000000	296000.000000	273200.000000	263800.000000	262300.000000	268200.000000	269900.000000
35 - 39 Years	319100.000000	311900.000000	298300.000000	308600.000000	310400.000000	297800.000000	296900.000000	303400.000000	305700.000000	288900.000000	300200.000000
40 - 44 Years	315800.000000	319300.000000	313600.000000	333100.000000	309100.000000	298100.000000	304500.000000	313100.000000	320000.000000	304000.000000	315300.000000
45 - 49 Years	311300.000000	304300.000000	310700.000000	343400.000000	302000.000000	311500.000000	323000.000000	313200.000000	313700.000000	301100.000000	301500.000000
50 - 54 Years	316300.000000	313000.000000	317800.000000	304100.000000	260600.000000	294200.000000	311900.000000	316600.000000	307800.000000	321700.000000	319400.000000
55 - 59 Years	304300.000000	293200.000000	312500.000000	310700.000000	286200.000000	306300.000000	316100.000000	299000.000000	285000.000000	299500.000000	296700.000000
60 - 64 Years	303400.000000	307000.000000	292400.000000	295300.000000	302500.000000	286000.000000	266200.000000	274800.000000	261700.000000	261400.000000	248200.000000
65 Years & Over	825700.000000	781200.000000	710100.000000	669200.000000	627000.000000	619000.000000	578600.000000	541400.000000	547500.000000	497300.000000	467000.000000

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

Columns

Column	Type	Categorical
Data Series	Text	Yes
2025	Numeric	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
2005	Numeric	No
2004	Numeric	No
2003	Numeric	No
2002	Numeric	No
2001	Numeric	No
2000	Numeric	No
1999	Numeric	No
1998	Numeric	No
1997	Numeric	No
1996	Numeric	No
1995	Numeric	No
1994	Numeric	No
1993	Numeric	No
1992	Numeric	No
1991	Numeric	No
1990	Numeric	No