A Singapore Government Agency Website

How to identify

Official website links end with .gov.sg

Government agencies communicate via .gov.sg websites (e.g. go.gov.sg/open). Trusted websites

Secure websites use HTTPS

Look for a lock () or https:// as an added precaution. Share sensitive information only on official, secure websites.

Scam alert

Government officers will never ask you to send money or share your details over the phone. When unsure, hang up and call Scamshield at 1799.

‌

Economy

Number Of Teachers By Level, School Type And Sex, Annual

Data from Jan 2003 to Dec 2024

Last updated: 14 May 2026, 21:01 SGT

SINGSTAT (Singapore Department of Statistics)

Source: MINISTRY OF EDUCATION

Data Last Updated: 23/03/2026

Update Frequency: Annual

Footnotes: The figures exclude officers in HQ, on various leave, on secondment to other institutions and those studying at NIE. Officers in Mixed Level schools are classified according to the level they teach or the level they are trained in. Include education officers on part-time employment scheme.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M850641

Sample OpenAPI query

This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.

import requests
          
dataset_id = "d_25f4eb0f500c5abbd14c5b91c1a1e0bf"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

Singapore Department of Statistics. (2024). Number Of Teachers By Level, School Type And Sex, Annual (2026) [Dataset]. data.gov.sg. Retrieved June 6, 2026 from https://data.gov.sg/datasets/d_25f4eb0f500c5abbd14c5b91c1a1e0bf/view

About this dataset

Contact

feedback@data.gov.sg

Created on

24 Oct 2024

Licence

Free forever for personal or commercial use, under the Open Data Licence.

Agency

SINGSTAT (Singapore Department of Statistics)

‌

Economy

Number Of Teachers By Level, School Type And Sex, Annual

Data from Jan 2003 to Dec 2024

Last updated: 14 May 2026, 21:01 SGT

SINGSTAT (Singapore Department of Statistics)

Source: MINISTRY OF EDUCATION

Data Last Updated: 23/03/2026

Update Frequency: Annual

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M850641

‌

Data explorer

NumberOfTeachersByLevelSchoolTypeAndSexAnnual.csv (36 rows, 5.7 KB)

Data Series Text	2024 Text	2023 Text	2022 Text	2021 Text	2020 Text	2019 Text	2018 Text	2017 Text	2016 Text	2015 Text	2014 Text	2013 Text	2012 Text	2011 Text	2010 Text	2009 Text	2008 Text	2007 Text	2006 Text	2005 Text	2004 Text	2003 Text
(Null)0.0%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)8.3%	(Null)16.7%	(Null)16.7%	(Null)16.7%	(Null)16.7%	(Null)25.0%
Primary	15273	15637	15853	16076	16042	15857	15787	15537	15357	14914	14683	14788	14309	13903	13693	13864	13023	12897	12597	12343	12209	12025
Government	11245	11478	11631	11790	11799	11629	11559	11339	11161	10740	10541	10553	10219	9936	9892	10066	9434	9284	9080	8959	8884	8757
Male	2290	2327	2342	2359	2364	2339	2316	2281	2250	2123	2069	2057	1976	1925	1880	1866	1740	1695	1634	1610	1592	1610
Female	8955	9151	9289	9431	9435	9290	9243	9058	8911	8617	8472	8496	8243	8011	8012	8200	7694	7589	7446	7349	7292	7147
Government-Aided	4028	4159	4222	4286	4243	4228	4228	4198	4196	4174	4142	4235	4090	3967	3801	3798	3589	3613	3517	3384	3325	3268
Male	698	705	710	714	723	719	724	705	690	677	664	685	644	626	582	593	578	552	520	490	466	464
Female	3330	3454	3512	3572	3520	3509	3504	3493	3506	3497	3478	3550	3446	3341	3219	3205	3011	3061	2997	2894	2859	2804
Secondary	12353	12621	13054	13417	13669	13848	14241	14778	15096	15207	15208	14993	14574	14043	13332	13214	12143	11892	11672	11495	11240	10830
Autonomous	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	2154	2042	1905	1860	1676
Male	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	650	581	539	534	509

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Number	-
2024	2024	Text	Number	-
2023	2023	Text	Number	-
2022	2022	Text	Number	-
2021	2021	Text	Number	-
2020	2020	Text	Number	-
2019	2019	Text	Number	-
2018	2018	Text	Number	-
2017	2017	Text	Number	-
2016	2016	Text	Number	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_25f4eb0f500c5abbd14c5b91c1a1e0bf
2. Click on the button below