Residents Outside the Labour Force Aged 15 Years and Over by Age Group, Marital Status, Sex and Ethnic Group (Census of Population 2020)

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Data explorer

ResidentsOutsidetheLabourForceAged15YearsandOverbyAgeGroupMaritalStatusSexandEthnicGroupCensusofPopulation2020.csv (13 rows, 8.1 KB)

Number Text	[Total] (Total) Total Numeric	[Total] (Total) Males Numeric	[Total] (Total) Females Numeric	[Total] (Single) Total Numeric	[Total] (Single) Males Numeric	[Total] (Single) Females Numeric	[Total] (Married) Total Numeric	[Total] (Married) Males Numeric	[Total] (Married) Females Numeric	[Total] (Widowed) Total Text	[Total] (Widowed) Males Text	[Total] (Widowed) Females Text	[Total] (Divorced/Separated) Total Text	[Total] (Divorced/Separated) Males Text	[Total] (Divorced/Separated) Females Text	[Chinese] (Total) Total Numeric	[Chinese] (Total) Males Numeric	[Chinese] (Total) Females Numeric	[Chinese] (Single) Total Numeric	[Chinese] (Single) Males Numeric	[Chinese] (Single) Females Numeric	[Chinese] (Married) Total Numeric	[Chinese] (Married) Males Numeric	[Chinese] (Married) Females Numeric	[Chinese] (Widowed) Total Text	[Chinese] (Widowed) Males Text	[Chinese] (Widowed) Females Text	[Chinese] (Divorced/Separated) Total Text	[Chinese] (Divorced/Separated) Males Text	[Chinese] (Divorced/Separated) Females Text	[Malays] (Total) Total Numeric	[Malays] (Total) Males Numeric	[Malays] (Total) Females Numeric	[Malays] (Single) Total Numeric	[Malays] (Single) Males Numeric	[Malays] (Single) Females Numeric	[Malays] (Married) Total Numeric	[Malays] (Married) Males Text	[Malays] (Married) Females Numeric	[Malays] (Widowed) Total Text	[Malays] (Widowed) Males Text	[Malays] (Widowed) Females Text	[Malays] (Divorced/Separated) Total Text	[Malays] (Divorced/Separated) Males Text	[Malays] (Divorced/Separated) Females Text	[Indians] (Total) Total Numeric	[Indians] (Total) Males Numeric	[Indians] (Total) Females Numeric	[Indians] (Single) Total Numeric	[Indians] (Single) Males Numeric	[Indians] (Single) Females Numeric	[Indians] (Married) Total Text	[Indians] (Married) Males Text	[Indians] (Married) Females Text	[Indians] (Widowed) Total Text	[Indians] (Widowed) Males Text	[Indians] (Widowed) Females Text	[Indians] (Divorced/Separated) Total Text	[Indians] (Divorced/Separated) Males Text	[Indians] (Divorced/Separated) Females Text	[Others] (Total) Total Numeric	[Others] (Total) Males Numeric	[Others] (Total) Females Numeric	[Others] (Single) Total Numeric	[Others] (Single) Males Numeric	[Others] (Single) Females Numeric	[Others] (Married) Total Text	[Others] (Married) Males Text	[Others] (Married) Females Text	[Others] (Widowed) Total Text	[Others] (Widowed) Males Text	[Others] (Widowed) Females Text	[Others] (Divorced/Separated) Total Text	[Others] (Divorced/Separated) Males Text	[Others] (Divorced/Separated) Females Text
(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)23.1%	(Null)38.5%	(Null)23.1%	(Null)7.7%	(Null)7.7%	(Null)7.7%	(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)30.8%	(Null)38.5%	(Null)38.5%	(Null)7.7%	(Null)7.7%	(Null)7.7%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)7.7%	(Null)0.0%	(Null)23.1%	(Null)46.2%	(Null)23.1%	(Null)7.7%	(Null)23.1%	(Null)7.7%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)7.7%	(Null)7.7%	(Null)7.7%	(Null)30.8%	(Null)61.5%	(Null)30.8%	(Null)7.7%	(Null)15.4%	(Null)7.7%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)7.7%	(Null)7.7%	(Null)7.7%	(Null)30.8%	(Null)69.2%	(Null)30.8%	(Null)15.4%	(Null)46.2%	(Null)15.4%
Total	1115608	417424	698185	390196	197856	192340	551779	187855	363924	138610	21249	117361	35023	10463	24561	831055	325147	505908	285446	145532	139914	412991	154809	258182	107399	16755	90644	25218	8051	17167	159715	51790	107925	55430	28834	26596	78330	18852	59478	19805	3050	16755	6149	1055	5095	93099	30960	62139	36907	17539	19368	43524	11083	32441	9818	1204	8614	2851	1134	1716	31740	9526	22213	12413	5952	6461	16933	3111	13822	1588	240	1348	805	223	582
15 - 19	186167	92170	93997	186100	92161	93939	67	9	58	-	-	-	-	-	-	124892	61872	63021	124861	61862	62999	32	9	22	-	-	-	-	-	-	32491	17051	15439	32455	17051	15403	36	-	36	-	-	-	-	-	-	21242	9865	11377	21242	9865	11377	-	-	-	-	-	-	-	-	-	7542	3382	4160	7542	3382	4160	-	-	-	-	-	-	-	-	-
20 - 24	105000	54074	50927	103286	53863	49423	1646	200	1446	-	-	-	68	10	58	77806	40657	37148	77186	40568	36618	605	79	526	-	-	-	14	10	4	13844	6847	6997	13101	6770	6331	711	77	634	-	-	-	32	-	32	9975	4879	5096	9692	4850	4841	278	29	249	-	-	-	5	-	5	3376	1690	1685	3307	1675	1632	52	16	37	-	-	-	16	-	16
25 - 29	29696	16201	13495	22464	15469	6995	6917	705	6213	-	-	-	314	27	287	19607	12750	6857	17039	12225	4814	2421	516	1904	-	-	-	147	9	138	6108	1890	4218	2913	1793	1121	3076	97	2979	-	-	-	119	-	119	3028	1258	1770	2063	1165	898	929	75	854	-	-	-	37	18	19	952	302	650	449	286	163	492	16	475	-	-	-	12	-	12
30 - 34	23049	5309	17740	6789	4012	2777	15833	1191	14642	24	-	24	404	107	297	13480	4023	9457	5354	3208	2146	7972	756	7216	-	-	-	154	59	95	5497	855	4642	956	574	382	4370	251	4119	5	-	5	165	29	135	2606	283	2323	308	123	185	2227	142	2085	19	-	19	52	18	34	1467	148	1318	170	106	64	1263	42	1221	-	-	-	33	-	33
35 - 39	29419	4374	25045	4298	2156	2142	24415	2081	22334	62	35	28	643	103	540	16289	3177	13112	3263	1666	1597	12699	1425	11274	18	18	-	309	68	241	5683	587	5097	507	179	327	4915	386	4529	34	17	18	228	5	223	5308	517	4791	373	263	110	4848	224	4624	-	-	-	86	30	57	2139	93	2045	155	47	108	1954	46	1907	10	-	10	20	-	20
40 - 44	33998	4686	29312	3954	2162	1791	28977	2264	26713	126	-	126	941	259	682	21170	3566	17605	3260	1740	1520	17357	1656	15701	36	-	36	517	170	348	5129	624	4505	412	277	136	4349	294	4055	44	-	44	324	53	271	5393	345	5048	241	114	127	5035	194	4841	16	-	16	100	37	63	2306	152	2154	40	32	9	2236	120	2116	30	-	30	-	-	-
45 - 49	41532	6787	34745	5337	2562	2775	34055	3624	30431	351	5	347	1789	597	1192	27742	5300	22442	4488	2188	2300	22009	2748	19261	186	5	181	1059	359	700	6562	594	5967	490	188	302	5529	330	5199	116	-	116	427	76	350	4756	690	4066	291	138	153	4202	415	3787	16	-	16	247	137	110	2472	202	2270	68	47	21	2314	130	2184	34	-	34	56	24	32
50 - 54	53202	10661	42541	7321	3601	3720	41964	6064	35900	1090	89	1001	2826	906	1920	36556	8163	28394	5786	2867	2919	28337	4624	23713	525	60	465	1908	612	1296	9636	1385	8251	845	434	411	7810	753	7057	438	30	409	543	168	375	4683	839	3844	613	244	368	3712	478	3235	90	-	90	268	117	151	2326	274	2052	77	57	21	2105	209	1895	37	-	37	108	8	99
55 - 59	77629	20779	56850	10730	5581	5149	59179	13637	45542	3437	446	2991	4283	1115	3168	55293	16226	39067	8968	4791	4178	41604	10322	31281	1924	306	1618	2797	807	1990	14879	2853	12026	1170	571	599	11593	2009	9584	1176	114	1063	939	158	781	5532	1319	4213	494	196	298	4271	963	3308	324	22	302	443	138	305	1926	381	1545	98	23	75	1711	343	1368	13	4	9	104	12	93

Column legend

Title	Column name	Data type	Unit of measure	Description
Number	Number	Text	Number	-
[Total] (Total) Total	Total_Total_Total	Numeric	Number	-
[Total] (Total) Males	Total_Total_Males	Numeric	Number	-
[Total] (Total) Females	Total_Total_Females	Numeric	Number	-
[Total] (Single) Total	Total_Single_Total	Numeric	Number	-
[Total] (Single) Males	Total_Single_Males	Numeric	Number	-
[Total] (Single) Females	Total_Single_Females	Numeric	Number	-
[Total] (Married) Total	Total_Married_Total	Numeric	Number	-
[Total] (Married) Males	Total_Married_Males	Numeric	Number	-
[Total] (Married) Females	Total_Married_Females	Numeric	Number	-

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_c86f0289d3df361098167e12d6f06fe9"
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). Residents Outside the Labour Force Aged 15 Years and Over by Age Group, Marital Status, Sex and Ethnic Group (Census of Population 2020) (2026) [Dataset]. data.gov.sg. Retrieved April 6, 2026 from https://data.gov.sg/datasets/d_c86f0289d3df361098167e12d6f06fe9/view

Data explorer

ResidentsOutsidetheLabourForceAged15YearsandOverbyAgeGroupMaritalStatusSexandEthnicGroupCensusofPopulation2020.csv (13 rows, 8.1 KB)

Column legend

Analyse this dataset with Colab Notebook

Sample OpenAPI query

Citation

About this dataset

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