Annulments By Age Group Of Males And Females, Annual

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Annulments By Age Group Of Males And Females, Annual

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 10/07/2026

Update Frequency: Annual

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M830247

Data from Jan 1980 to Dec 2025

Last updated 14 days ago (1 Sep 2026)

Updated annually

Data explorer

AnnulmentsByAgeGroupOfMalesAndFemalesAnnual.csv (49 rows, 11.5 KB)

Data Series Text	2025 Numeric	2024 Numeric	2023 Numeric	2022 Numeric	2021 Numeric	2020 Numeric	2019 Numeric	2018 Numeric	2017 Numeric	2016 Numeric	2015 Numeric	2014 Numeric	2013 Numeric	2012 Numeric	2011 Numeric	2010 Numeric	2009 Numeric	2008 Numeric	2007 Numeric	2006 Numeric	2005 Numeric	2004 Numeric	2003 Numeric	2002 Numeric	2001 Numeric	2000 Numeric	1999 Numeric	1998 Numeric	1997 Numeric	1996 Numeric	1995 Numeric	1994 Numeric	1993 Numeric	1992 Numeric	1991 Numeric	1990 Numeric	1989 Numeric	1988 Numeric	1987 Numeric	1986 Numeric	1985 Numeric	1984 Numeric	1983 Numeric	1982 Numeric	1981 Numeric	1980 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%	(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	296	304	269	185	216	251	293	354	371	407	405	446	392	344	370	369	353	363	413	377	328	338	268	287	252	217	249	262	201	178	188	187	140	377	606	484	368	380	369	337	296	285	244	269	213	170
Males Aged Under 25 Years	10	5	9	3	3	7	6	9	11	13	14	14	21	18	10	8	10	12	15	12	18	15	6	14	13	16	17	17	8	8	12	10	6	26	52	25	17	29	41	3	13	22	19	25	14	18
Males Aged 25-29 Years	46	48	61	42	43	50	69	85	98	87	105	109	88	84	91	101	80	103	114	106	110	118	97	95	98	88	100	117	72	62	74	84	59	182	280	210	189	182	169	54	82	120	121	124	112	81
Males Aged 30-34 Years	117	122	107	67	68	89	103	123	126	137	117	132	111	99	126	111	122	119	134	142	108	123	93	117	69	63	78	71	61	66	63	68	49	112	198	151	106	126	106	39	59	59	69	87	68	50
Males Aged 35-39 Years	65	56	45	35	47	53	66	69	73	82	68	75	63	65	62	70	65	58	49	45	49	39	38	26	39	28	23	39	30	24	19	15	18	37	48	59	38	34	26	20	12	22	21	21	16	13
Males Aged 40 Years & Over	58	73	46	38	55	52	49	68	63	88	101	116	109	78	81	79	75	71	101	72	43	34	28	30	27	19	30	17	27	15	17	9	8	19	23	37	16	9	15	8	6	16	10	11	3	7
Males With Unknown Age	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	9	6	5	6	3	1	1	3	3	3	1	0	1	5	2	2	0	12	213	124	46	4	1	0	1
Females Aged Under 25 Years	10	17	17	11	13	18	26	25	44	45	45	59	49	49	59	51	28	59	47	66	51	62	39	55	63	40	64	66	51	40	50	50	26	109	155	104	120	117	106	24	46	86	100	89	79	65
Males Aged Under 25 Years	5	4	3	2	2	4	5	4	9	7	6	8	11	12	7	4	4	9	10	11	12	11	4	11	10	11	12	12	7	5	8	7	5	20	41	17	12	21	27	2	10	16	14	19	11	13
Males Aged 25-29 Years	4	7	9	1	5	8	10	11	17	18	15	23	14	10	18	12	10	21	19	24	21	36	23	28	31	23	34	39	21	22	29	29	13	68	84	61	87	72	62	18	29	52	64	53	51	32

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

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import requests
          
dataset_id = "d_b05a8c2a9b6c6b83f01d254760221ba3"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Data explorer

AnnulmentsByAgeGroupOfMalesAndFemalesAnnual.csv (49 rows, 11.5 KB)

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Sample OpenAPI query

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