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.

Waitlist for API key is now open. Register here for higher rate limits, priority support and maintenance notifications. Rate limits will be rolled out from 1 September 2025 onwards.

Economy

Employed Residents Aged 15 Years And Over By Industry And Occupation, (June), Annual

Data from Jan 1990 to Dec 2024

Last updated: 11 Jul 2025, 22:01 SGT

SINGSTAT (Singapore Department of Statistics)

Source: MINISTRY OF MANPOWER, SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 28/01/2025

Update Frequency: Annual

Footnotes: Residents comprise Singapore citizens and permanent residents. Based on mid-year Labour Force Survey except for Census of Population 1990 & 2000 and General Household Surveys 1995 & 2005. To facilitate comparison with 2008, 2007 Labour Force Survey data have been adjusted based on Singapore Department of Statistics revised population estimates (released in February 2008) which exclude Singapore residents who have been away from Singapore for a continuous period of 12 months or longer. Data from year 2020 are classified based on Singapore Standard Industrial Classification (SSIC) 2020 and Singapore Standard Occupational Classification (SSOC) 2020. Data from 2000 onwards which were coded based on earlier versions of the SSIC and SSOC were mapped to SSIC 2020 and SSOC 2020 respectively as far as possible to facilitate data comparability. Occupational data are not available for 2006 as the level of occupational detail collected in 2006 did not support mapping. The level of occupational detail collected in 1990 - 1999 did not support mapping to the latest SSOC 2020 and hence are not strictly comparable to data that were mapped to/coded using SSOC 2020. Data across the various years may not be strictly comparable due to revisions in the industrial classification. 1991-1994 & 1996-1997 data are based on SSIC 1990. 1998-1999 data are based on SSIC 1996. 1990 and 1995 data are based on SSIC 2005.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M182081

Data explorer

EmployedResidentsAged15YearsAndOverByIndustryAndOccupationJuneAnnual.csv (170 rows, 42.6 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	2002 Text	2001 Text	2000 Text	1999 Text	1998 Text	1997 Text	1996 Text	1995 Text	1994 Text	1993 Text	1992 Text	1991 Text	1990 Text
(Null)0.0% Services5.9% Construction5.9% Manufacturing5.9% Other Industries Nes5.9%	(Null)1.8%	(Null)2.9%	(Null)2.4%	(Null)1.8%	(Null)2.9%	(Null)2.9%	(Null)2.9%	(Null)2.4%	(Null)2.9%	(Null)5.9%	(Null)5.9%	(Null)5.9%	(Null)5.9%	(Null)6.5%	(Null)5.3%	(Null)7.1%	(Null)6.5%	(Null)5.9%	(Null)90.0% 950.6% 990.6% 1740.6% 19.70.6%	(Null)5.3%	(Null)7.6%	(Null)5.3%	(Null)5.9%	(Null)5.3%	(Null)5.9%	(Null)32.4%	(Null)33.5%	(Null)31.2%	(Null)32.9%	(Null)7.6%	(Null)32.9%	(Null)33.5%	(Null)32.9%	(Null)31.2%	(Null)5.9%
All Occupation Groups, (Total Employed Residents)	2365.6	2352.3	2350.4	2286.5	2222.6	2230.4	2203.7	2175.3	2165.3	2147.8	2103.5	2056.1	2040.6	1998.9	1962.9	1869.4	1852	1803.2	1796.7	1647.3	1632.1	1605.4	1573.7	1582.5	1482.6	1518.3	1493.8	1499.8	1464.8	1381.9	1416.1	1381.6	1369.8	1345	1288.8
Manufacturing	212.2	212	224.9	212.1	213	214.4	227.8	223.4	227.2	238.6	249.3	280	288.2	292.4	291.4	293.6	311.9	304.5	301.7	273.9	296.6	302.5	298.3	306.9	288.8	329.2	329.9	345.9	347.6	297.2	358.9	365	362.2	366	332.6
Construction	102.9	94.3	97.7	98.4	97.2	98	104.4	100.7	101.2	110.6	98.2	101.9	104.5	99.7	104	113.8	105.5	100.8	95	85.5	92.6	97.7	96.5	100	92.3	109	111.3	107.2	99.6	89.6	95.5	90.5	89.4	87.7	75.5
Services	2028.2	2024.8	2006	1952.6	1891.3	1894.5	1849.9	1829.4	1816.9	1775.5	1731.2	1647.5	1621.5	1583.4	1530	1441.2	1412	1377.3	1377.6	1268.4	1221.7	1184.9	1159.6	1154.8	1088.3	1066.3	1040	1031.4	1007.2	971.9	948.7	914.3	905.6	880.1	861.2
Wholesale & Retail Trade	336	335.8	351.8	338.6	335.1	356	352.5	356.2	364.1	364.1	346.3	302.2	306.3	300.5	281.7	272.4	269.5	277	301.1	303.6	275.4	253.7	256.4	253.8	253.7	238.3	236.7	251	256.1	219	244.4	242.5	237	227.3	232.2
Transportation & Storage	197.9	214.3	207.4	200.6	214.8	205.5	199	195.9	188.4	187.6	188.9	192.6	189.5	192	191.3	179.9	182.4	179.9	174	159.9	164.2	163.5	165.6	171	149.6	172.2	172.3	177.5	169.5	144.1	158.8	154.8	146.8	143.6	126.2
Accommodation & Food Services	147.5	139.5	126.6	125.2	128.9	131.8	134.4	134.4	138.2	139.1	137.1	135.1	129.3	135.2	128.9	124.9	120	123.1	128.8	103.2	107.9	107.8	103.5	105	92.6	101.7	98.4	87.8	98.7	90.7	99.4	94.7	96.2	95.5	91.1
Information & Communications	139.1	136	132.8	120.4	111.4	102.6	94.1	91.3	87	86.1	88.4	92.3	86.5	86	100.5	94.3	87	87.8	74.8	64	67.5	68.2	65.4	75	55.2	na	na	na	na	36.7	na	na	na	na	20.3
Financial & Insurance Services	239.4	236.2	235.8	225.2	207.9	209.4	196	189.6	190.7	167.3	165.6	147.8	150.6	145.5	126	121.9	123.6	109.7	106.3	103.5	91.9	88.6	90.8	89.1	91.3	86.1	89	90.1	81.7	75	71.2	62.4	60.5	63	57.8
Real Estate Services	56.3	57.2	59.7	51	49.8	48.7	54	57.6	53.5	55.4	55.6	49.3	52	48.9	40.2	45	40.8	38.5	37.7	35.6	34.7	34.5	34.3	35.7	38.4	na	na	na	na	45.9	na	na	na	na	39.1

Column legend

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

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_a39781396723959b5bb0db7814bdb139
2. Click on the button below

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_a39781396723959b5bb0db7814bdb139"
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). Employed Residents Aged 15 Years And Over By Industry And Occupation, (June), Annual (2025) [Dataset]. data.gov.sg. Retrieved August 5, 2025 from https://data.gov.sg/datasets/d_a39781396723959b5bb0db7814bdb139/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)