Births And Fertility Rates, Annual

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Data from Jan 1960 to Dec 2024Updated 27 days ago

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS, IMMIGRATION AND CHECKPOINTS AUTHORITY

Data Last Updated: 28/02/2025

Update Frequency: Annual

Footnotes: Figures for 2024 are preliminary

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M810091

Data explorer

BirthsAndFertilityRatesAnnual.csv (17 rows, 8.2 KB)

Data Series Text	2024 Text	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	1979 Text	1978 Text	1977 Text	1976 Text	1975 Text	1974 Text	1973 Text	1972 Text	1971 Text	1970 Text	1969 Text	1968 Text	1967 Text	1966 Text	1965 Text	1964 Text	1963 Text	1962 Text	1961 Text	1960 Text
(Null)0.0%	(Null)11.8%	(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)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%	(Null)17.6%
Total Fertility Rate	0.97	0.97	1.04	1.12	1.1	1.14	1.14	1.16	1.2	1.24	1.25	1.19	1.29	1.2	1.15	1.22	1.28	1.29	1.28	1.26	1.26	1.27	1.37	1.41	1.6	1.47	1.48	1.61	1.66	1.67	1.71	1.74	1.72	1.73	1.83	1.75	1.96	1.62	1.43	1.61	1.62	1.61	1.74	1.78	1.82	1.79	1.79	1.82	2.11	2.07	2.35	2.79	3.04	3.02	3.07	3.22	3.53	3.91	4.46	4.66	4.97	5.16	5.21	5.41	5.76
15 - 19 Years	2.3	2.2	2.1	2.2	2.3	2.5	2.5	2.6	2.7	2.7	3.3	3.8	4.3	4.7	4.8	5	6.1	6.1	6.6	7.2	6.6	6.7	8	8.4	8.8	8.4	7.5	6.8	6.8	6.6	7.4	8.3	7.9	8.4	8.3	7.2	7.3	7.7	8.6	9.6	10.3	10.4	11.4	11.8	12.7	11.4	11.8	13.4	16.2	16.8	20.8	24.2	25.3	25.6	25.9	27.1	30.9	35.8	33	35.9	38.3	45.7	52	63.4	69.6
20 - 24 Years	9.9	10.6	11.2	11.7	12.7	12.7	14.4	15.1	17	18.7	19.5	19.7	22.2	22.4	23.3	25.4	29.1	31.2	30.6	32.5	32.2	32.4	34.6	35.7	42.2	37.3	39.7	42	44.8	46.9	46.9	49.8	52.1	53.5	58.7	59.7	65	59.7	60.4	68	68.6	72.4	80.2	84.2	84.9	85.1	86.8	90.3	107.2	102.1	118.9	130.5	137.4	138.3	139	150.1	165.8	195.8	218.5	227.1	240	249	245.5	241.1	250.5
25 - 29 Years	42.6	43.7	48.8	53.4	54.6	59.4	60.6	62.2	65.8	68.7	71.1	70.5	76.7	73.4	68.1	74.2	78.9	78.7	79.6	80.7	80.6	82.2	91.6	96.2	110.1	105.1	105.2	116.9	122.8	125.6	129.2	130	128.4	129.2	136	129.7	147.5	124.8	110.1	123.9	124.2	125.5	136.4	141.2	144.5	139.3	140.9	138.9	160.2	154.5	172.2	199.5	218	212.6	208.8	227.8	236.6	244.7	261.2	259.5	277.6	287.2	291.7	304.9	323.9
30 - 34 Years	79.4	78.7	86.7	92.9	90.8	92.4	92.9	93.3	96.2	98.5	99.3	90.2	99.5	89.5	86	90.1	94.6	94.4	93.1	89.2	89.9	90	96.2	94.9	107.9	97.5	96.1	107.3	108.5	107.4	109.2	108.8	107.2	106.8	110.8	104.5	118.9	92.5	74.4	85.6	83	79.9	84.5	84.2	87.8	88.4	86.8	85.2	95.9	94.9	102.9	128.4	139.2	137.6	138	134.3	152	166.7	202	216.2	226.7	228.7	231.5	238.4	259.7
35 - 39 Years	49.9	47.9	49.4	53.6	49	50.1	48.4	48.6	49.7	49.9	48.3	44.7	46.3	42.4	42.2	42.6	41.5	41.5	38.7	36.8	35.6	36.3	38.2	39.5	43.3	38.6	39.8	41.7	42.6	41.3	42.6	43.6	41.7	41.7	44.3	42.1	44.9	33.5	28.4	31.1	32.1	29.5	31	29.3	28	27.5	26.7	28.7	33.8	36.3	42.6	57.6	66.1	68.5	74.5	75.2	85.2	95.9	124.8	138.1	147.7	156.1	156.2	168.9	176.7
40 - 44 Years	10.1	9.6	9.8	10.2	9.5	9.9	8.8	9	8.8	8.9	8.3	8	8	7.2	6.1	7	6.6	6.4	6.4	6.2	6.3	6.1	5.8	6.8	7.6	6.4	6.6	7	7	6.5	6.7	7.2	6.7	6.5	7.4	7.6	7.4	5.9	4.7	4.5	4.9	3.9	4.9	5.5	5.8	5.5	5.3	6.9	8.1	10	12.7	17.4	20.9	21.9	26.7	29.4	35.3	42.9	51.7	54.9	62.8	64.9	65.1	64.8	70.7
45 - 49 Years	0.7	0.6	0.4	0.3	0.5	0.4	0.5	0.5	0.3	0.4	0.3	0.3	0.3	0.3	0.3	0.3	0.2	0.2	0.2	0.2	0.2	0.2	0.2	0.2	0.2	0.2	0.2	0.2	0.2	0.2	0.1	0.2	0.2	0.3	0.1	0.2	0	0.2	0.2	0.2	0.2	0.2	0.3	0.4	0.5	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Chinese	0.83	0.81	0.87	0.96	0.94	0.99	0.98	1.01	1.07	1.1	1.13	1.05	1.18	1.08	1.02	1.08	1.14	1.14	1.11	1.1	1.09	1.09	1.19	1.21	1.43	1.29	1.27	1.44	1.5	1.51	1.54	1.55	1.53	1.54	1.65	1.56	1.84	1.46	1.25	1.46	1.46	1.47	1.62	1.67	1.73	1.77	1.78	1.81	2.15	2.06	2.33	2.79	3	2.98	3	3.05	3.29	3.59	4.08	4.31	4.6	4.83	4.92	5.2	5.62
Malays	1.58	1.65	1.83	1.82	1.82	1.8	1.85	1.82	1.8	1.79	1.73	1.66	1.69	1.64	1.65	1.82	1.91	1.94	2.02	2.03	2.07	2.1	2.3	2.45	2.54	2.41	2.48	2.47	2.52	2.51	2.54	2.62	2.61	2.63	2.69	2.62	2.51	2.34	2.22	2.28	2.27	2.21	2.27	2.25	2.2	1.84	1.83	1.87	1.93	2.12	2.46	2.88	3.26	3.25	3.45	3.78	4.52	5.29	6.14	6.31	6.78	6.75	6.63	6.42	6.42

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Per Female	-
2024	2024	Text	Per Female	-
2023	2023	Numeric	Per Female	-
2022	2022	Numeric	Per Female	-
2021	2021	Numeric	Per Female	-
2020	2020	Numeric	Per Female	-
2019	2019	Numeric	Per Female	-
2018	2018	Numeric	Per Female	-
2017	2017	Numeric	Per Female	-
2016	2016	Numeric	Per Female	-
2015	2015	Numeric	Per Female	-
2014	2014	Numeric	Per Female	-
2013	2013	Numeric	Per Female	-
2012	2012	Numeric	Per Female	-
2011	2011	Numeric	Per Female	-
2010	2010	Numeric	Per Female	-
2009	2009	Numeric	Per Female	-
2008	2008	Numeric	Per Female	-
2007	2007	Numeric	Per Female	-
2006	2006	Numeric	Per Female	-
2005	2005	Numeric	Per Female	-
2004	2004	Numeric	Per Female	-
2003	2003	Numeric	Per Female	-
2002	2002	Numeric	Per Female	-
2001	2001	Numeric	Per Female	-
2000	2000	Numeric	Per Female	-
1999	1999	Numeric	Per Female	-
1998	1998	Numeric	Per Female	-
1997	1997	Numeric	Per Female	-
1996	1996	Numeric	Per Female	-
1995	1995	Numeric	Per Female	-
1994	1994	Numeric	Per Female	-
1993	1993	Numeric	Per Female	-
1992	1992	Numeric	Per Female	-
1991	1991	Numeric	Per Female	-
1990	1990	Numeric	Per Female	-
1989	1989	Numeric	Per Female	-
1988	1988	Numeric	Per Female	-
1987	1987	Numeric	Per Female	-
1986	1986	Numeric	Per Female	-
1985	1985	Numeric	Per Female	-
1984	1984	Numeric	Per Female	-
1983	1983	Numeric	Per Female	-
1982	1982	Numeric	Per Female	-
1981	1981	Numeric	Per Female	-
1980	1980	Numeric	Per Female	-
1979	1979	Text	Per Female	-
1978	1978	Text	Per Female	-
1977	1977	Text	Per Female	-
1976	1976	Text	Per Female	-
1975	1975	Text	Per Female	-
1974	1974	Text	Per Female	-
1973	1973	Text	Per Female	-
1972	1972	Text	Per Female	-
1971	1971	Text	Per Female	-
1970	1970	Text	Per Female	-
1969	1969	Text	Per Female	-
1968	1968	Text	Per Female	-
1967	1967	Text	Per Female	-
1966	1966	Text	Per Female	-
1965	1965	Text	Per Female	-
1964	1964	Text	Per Female	-
1963	1963	Text	Per Female	-
1962	1962	Text	Per Female	-
1961	1961	Text	Per Female	-
1960	1960	Text	Per Female	-

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_e39eeaeadb571c0d0725ef1eec48d166"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Data explorer

BirthsAndFertilityRatesAnnual.csv (17 rows, 8.2 KB)

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Sample OpenAPI query

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