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Economy

Resident Working Persons Aged 15 Years and Over by Industry, Highest Qualification Attained and Sex (Census of Population 2000)

Last updated: 21 May 2026, 22:01 SGT

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 31/03/2016

Update Frequency: 10 years

Survey period: Census of Population 2000

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8932

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_fe9ecf7a36a2484d9baa06bd9f901b75"
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). Resident Working Persons Aged 15 Years and Over by Industry, Highest Qualification Attained and Sex (Census of Population 2000) (2026) [Dataset]. data.gov.sg. Retrieved June 10, 2026 from https://data.gov.sg/datasets/d_fe9ecf7a36a2484d9baa06bd9f901b75/view

About this dataset

Contact

feedback@data.gov.sg

Created on

26 Oct 2024

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)

‌

Economy

Resident Working Persons Aged 15 Years and Over by Industry, Highest Qualification Attained and Sex (Census of Population 2000)

Last updated: 21 May 2026, 22:01 SGT

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 31/03/2016

Update Frequency: 10 years

Survey period: Census of Population 2000

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8932

‌

Data explorer

ResidentWorkingPersonsAged15YearsandOverbyIndustryHighestQualificationAttainedandSexCensusofPopulation2000.csv (12 rows, 3.3 KB)

Number Text	(Total) Total Numeric	(Total) Males Numeric	(Total) Females Numeric	(No Qualification) Total Numeric	(No Qualification) Males Numeric	(No Qualification) Females Numeric	(Primary) Total Numeric	(Primary) Males Numeric	(Primary) Females Numeric	(Lower Secondary) Total Numeric	(Lower Secondary) Males Numeric	(Lower Secondary) Females Numeric	(Secondary) Total Numeric	(Secondary) Males Numeric	(Secondary) Females Numeric	(Upper Secondary) Total Numeric	(Upper Secondary) Males Numeric	(Upper Secondary) Females Numeric	(Polytechnic) Total Numeric	(Polytechnic) Males Numeric	(Polytechnic) Females Numeric	(Other Diploma) Total Numeric	(Other Diploma) Males Numeric	(Other Diploma) Females Numeric	(University) Total Numeric	(University) Males Numeric	(University) Females Numeric
(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%
Total	1482579	889482	593097	141973	87075	54898	144106	97808	46298	160567	109530	51037	405838	230724	175114	175492	102782	72710	125087	79801	45287	94636	43491	51145	234880	138271	96609
Goods Producing Industries	391674	261743	129931	44008	28020	15988	49621	32333	17289	49380	33634	15746	101540	65192	36348	40820	28606	12214	37435	26167	11269	19611	11279	8332	49257	36513	12744
Manufacturing	289661	176451	113210	29892	14760	15132	34893	18392	16502	34117	19667	14450	74161	43835	30326	31033	21122	9911	29517	20377	9140	15900	9106	6794	40147	29191	10956
Construction	90894	76313	14581	12881	12232	649	13454	12758	696	14140	12886	1253	24325	19016	5309	8230	6285	1945	6773	4861	1912	3308	1920	1388	7783	6355	1429
Other Goods Industries*	11119	8979	2140	1235	1028	207	1274	1183	91	1124	1081	43	3054	2341	714	1557	1199	358	1145	929	217	403	253	150	1327	967	360
Services Producing Industries	1090905	627739	463166	97965	59055	38910	94485	65476	29009	111187	75896	35291	304297	165532	138765	134671	74176	60495	87652	53634	34018	75025	32212	42813	185623	101759	83864
Wholesale & Retail Trade	253673	148140	105532	24280	15927	8353	27002	18038	8964	33673	21135	12538	82341	43340	39002	28210	15439	12771	16624	10205	6419	15177	7153	8024	26366	16904	9462
Hotels & Restaurants	93184	47409	45775	26213	11121	15092	18742	9401	9342	16085	8952	7133	21331	12022	9310	5543	3132	2412	1118	557	561	2516	1366	1150	1635	858	777
Transport & Communications	178038	132810	45228	15696	14394	1301	20727	19445	1282	25929	23187	2742	61057	43083	17974	20894	13019	7875	9759	5644	4114	8679	4619	4060	15297	9420	5878
Financial Services	87156	34846	52310	686	379	307	1199	868	331	2477	1574	903	22101	6483	15618	13885	4098	9787	7529	3073	4456	10670	3848	6822	28608	14522	14086

Column legend

Title	Column name	Data type	Unit of measure	Description
Number	Number	Text	Number	-
(Total) Total	Total_Total	Numeric	Number	-
(Total) Males	Total_Males	Numeric	Number	-
(Total) Females	Total_Females	Numeric	Number	-
(No Qualification) Total	NoQualification_Total	Numeric	Number	-
(No Qualification) Males	NoQualification_Males	Numeric	Number	-
(No Qualification) Females	NoQualification_Females	Numeric	Number	-
(Primary) Total	Primary_Total	Numeric	Number	-
(Primary) Males	Primary_Males	Numeric	Number	-
(Primary) Females	Primary_Females	Numeric	Number	-

Analyse this dataset with Colab Notebook

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