Employed Female Residents Aged 15 Years And Over By Industry And Age Group, (June), Annual

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Employed Female Residents Aged 15 Years And Over By Industry And Age Group, (June), Annual

SINGSTAT (Singapore Department of Statistics)

Source: MINISTRY OF MANPOWER

Data Last Updated: 30/01/2026

Update Frequency: Annual

Footnotes: Residents comprise Singapore citizens and permanent residents. Based on mid-year Labour Force Survey except for Census of Population 2000 and General Household Survey 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. Data before year 2020 which were coded based on earlier versions of the SSIC were mapped to SSIC 2020 as far as possible to facilitate data comparability.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M182151

Data from Jan 2000 to Dec 2025

Last updated 29 days ago (11 Aug 2026)

Data explorer

EmployedFemaleResidentsAged15YearsAndOverByIndustryAndAgeGroupJuneAnnual.csv (204 rows, 39.1 KB)

Data Series Text	2025 Text	2024 Text	2023 Numeric	2022 Text	2021 Numeric	2020 Numeric	2019 Numeric	2018 Text	2017 Text	2016 Text	2015 Text	2014 Text	2013 Text	2012 Text	2011 Text	2010 Numeric	2009 Text	2008 Text	2007 Text	2006 Text	2005 Text	2004 Text	2003 Text	2002 Text	2001 Text	2000 Text
(Null)0.0% Others5.9% Services5.9% Construction5.9% Manufacturing5.9%	(Null)0.5%	(Null)0.5%	(Null)0.0%	(Null)0.5%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.5%	(Null)0.5%	(Null)1.0%	(Null)0.5%	(Null)1.0%	(Null)1.5%	(Null)0.5%	(Null)1.0%	(Null)0.0%	(Null)1.0%	(Null)0.5%	(Null)1.0%	(Null)2.0%	(Null)2.0%	(Null)1.5%	(Null)1.5%	(Null)2.0%	(Null)1.0%	(Null)2.0%
All Industries (Employed Female Residents)	1133.1	1127.6	1108.3	1094.2	1066.2	1024.6	1027.9	1006.5	985.9	986.9	976	942.5	913.8	902.5	880.1	856.4	803.2	798.5	764.8	760.2	687.6	671.3	656.6	636	644	593.1
Manufacturing	80.6	80	81.7	83.2	80.3	77.9	77.6	82.9	78.2	81.6	85	86.5	104.4	102.9	101.3	105.2	106.9	112.4	115.1	110.4	104.2	114.2	114.7	115	116.4	113.1
Construction	34.6	30.1	28.2	29	29.8	28.3	27	27.8	28.6	27.7	30	25.2	24	23.9	22.2	23.2	26.1	20.6	18.6	17.2	15.2	15	17.6	14.9	17	14.8
Services	1012.3	1010.9	991.7	974.8	949	912.7	915.5	889.1	872.2	872.3	854.5	823.7	777.8	768.9	750.7	718.5	665.1	659.6	627.1	626.6	563.8	537.6	519.4	502.5	506.1	462.5
Wholesale & Retail Trade	165.9	173.6	166.2	177.7	169.5	167.5	174.3	176	173.2	179.7	178.9	170	147.2	152.5	148.3	139.3	129.5	130	130.1	140	133.7	120.1	111.1	110.3	107.9	105.5
Transportation & Storage	52.8	46.2	51.8	54.9	49.5	52.6	49.5	48.1	42.9	45.2	46.2	45.9	47.9	47.2	46.3	45.4	40.5	44.8	40.3	39.2	35.8	39.9	37.6	36.6	40.9	31.4
Accommodation & Food Services	82.2	84.8	77.6	71.8	70	73	73.6	75	73.9	78.1	78	76.4	75.2	71.1	74.1	68.7	67.3	66.4	63.5	66.9	53.7	55.6	54.8	52.1	54.9	45.5
Information & Communications	54.4	59.6	56.1	53.5	49.9	45	42.5	38.9	34.6	34.5	34.4	34.6	36.6	31.9	34	37.9	38.2	34.9	35.6	29.9	26.9	27.7	28.2	27	32.8	24.3
Financial & Insurance Services	123.6	126.3	118.9	118.3	114.4	107.8	105.5	101.6	98.8	100.1	88.7	84.7	79.4	79.7	79.3	68.8	68	70.8	63.2	61	58.6	53.9	53.2	54	52.5	53.7
Real Estate Services	30.6	27.8	28.9	30.2	26.8	25.9	24.8	26.2	29.5	24.9	28	27.9	24.2	25.3	23.8	20.4	22	19.7	18	19.1	15.9	15.3	16	15.8	16.4	17

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Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Thousand	-
2025	2025	Text	Thousand	-
2024	2024	Text	Thousand	-
2023	2023	Numeric	Thousand	-
2022	2022	Text	Thousand	-
2021	2021	Numeric	Thousand	-
2020	2020	Numeric	Thousand	-
2019	2019	Numeric	Thousand	-
2018	2018	Text	Thousand	-
2017	2017	Text	Thousand	-

Sample OpenAPI query

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import requests
          
dataset_id = "d_a31f7f149ba860506c127ab0e0f62985"
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 Female Residents Aged 15 Years And Over By Industry And Age Group, (June), Annual (2026) [Dataset]. data.gov.sg. Retrieved September 10, 2026 from https://data.gov.sg/datasets/d_a31f7f149ba860506c127ab0e0f62985/view

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EmployedFemaleResidentsAged15YearsAndOverByIndustryAndAgeGroupJuneAnnual.csv (204 rows, 39.1 KB)

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