Average Retail Prices Of Selected Consumer Items, Monthly

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Data from Jan 2010 to Dec 2024Updated 3 months ago

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 23/01/2025

Update Frequency: Monthly

Footnotes: Prices of items starting from January 2019 are based on the 2019-based CPI basket. While they are indicative of the average transaction price levels in the same base period, they are not a measure of pure price movements across CPI baskets due to changes in the sample of brands/varieties and outlets priced. For more information on the CPI rebasing, refer to the Information Paper 'Rebasing of the Consumer Price Index (2019 as Base Year)' (https://www.singstat.gov.sg/-/media/files/publications/economy/ip-e48.pdf).

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M212891

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AverageRetailPricesOfSelectedConsumerItemsMonthly.csv (72 rows, 93 KB)

Data Series Text	2024 Dec Numeric	2024 Nov Numeric	2024 Oct Numeric	2024 Sep Numeric	2024 Aug Numeric	2024 Jul Numeric	2024 Jun Numeric	2024 May Numeric	2024 Apr Numeric	2024 Mar Numeric	2024 Feb Numeric	2024 Jan Numeric	2023 Dec Numeric	2023 Nov Numeric	2023 Oct Numeric	2023 Sep Numeric	2023 Aug Numeric	2023 Jul Numeric	2023 Jun Numeric	2023 May Numeric	2023 Apr Numeric	2023 Mar Numeric	2023 Feb Numeric	2023 Jan Numeric	2022 Dec Numeric	2022 Nov Numeric	2022 Oct Numeric	2022 Sep Numeric	2022 Aug Numeric	2022 Jul Numeric	2022 Jun Numeric	2022 May Numeric	2022 Apr Numeric	2022 Mar Numeric	2022 Feb Numeric	2022 Jan Numeric	2021 Dec Numeric	2021 Nov Numeric	2021 Oct Numeric	2021 Sep Numeric	2021 Aug Numeric	2021 Jul Numeric	2021 Jun Numeric	2021 May Numeric	2021 Apr Numeric	2021 Mar Numeric	2021 Feb Numeric	2021 Jan Numeric	2020 Dec Numeric	2020 Nov Numeric	2020 Oct Numeric	2020 Sep Numeric	2020 Aug Numeric	2020 Jul Numeric	2020 Jun Numeric	2020 May Numeric	2020 Apr Numeric	2020 Mar Numeric	2020 Feb Numeric	2020 Jan Numeric	2019 Dec Numeric	2019 Nov Numeric	2019 Oct Numeric	2019 Sep Numeric	2019 Aug Numeric	2019 Jul Numeric	2019 Jun Numeric	2019 May Numeric	2019 Apr Numeric	2019 Mar Numeric	2019 Feb Numeric	2019 Jan Numeric	2018 Dec Numeric	2018 Nov Numeric	2018 Oct Numeric	2018 Sep Numeric	2018 Aug Numeric	2018 Jul Numeric	2018 Jun Numeric	2018 May Numeric	2018 Apr Numeric	2018 Mar Numeric	2018 Feb Numeric	2018 Jan Numeric	2017 Dec Numeric	2017 Nov Numeric	2017 Oct Numeric	2017 Sep Numeric	2017 Aug Numeric	2017 Jul Numeric	2017 Jun Numeric	2017 May Numeric	2017 Apr Numeric	2017 Mar Numeric	2017 Feb Numeric	2017 Jan Numeric	2016 Dec Numeric	2016 Nov Numeric	2016 Oct Numeric	2016 Sep Numeric	2016 Aug Numeric	2016 Jul Numeric	2016 Jun Numeric	2016 May Numeric	2016 Apr Numeric	2016 Mar Numeric	2016 Feb Numeric	2016 Jan Numeric	2015 Dec Numeric	2015 Nov Numeric	2015 Oct Numeric	2015 Sep Numeric	2015 Aug Numeric	2015 Jul Numeric	2015 Jun Numeric	2015 May Numeric	2015 Apr Numeric	2015 Mar Numeric	2015 Feb Numeric	2015 Jan Numeric	2014 Dec Numeric	2014 Nov Numeric	2014 Oct Numeric	2014 Sep Numeric	2014 Aug Numeric	2014 Jul Numeric	2014 Jun Numeric	2014 May Numeric	2014 Apr Numeric	2014 Mar Numeric	2014 Feb Numeric	2014 Jan Numeric	2013 Dec Text	2013 Nov Text	2013 Oct Text	2013 Sep Text	2013 Aug Text	2013 Jul Text	2013 Jun Text	2013 May Text	2013 Apr Text	2013 Mar Text	2013 Feb Text	2013 Jan Text	2012 Dec Text	2012 Nov Text	2012 Oct Text	2012 Sep Text	2012 Aug Text	2012 Jul Text	2012 Jun Text	2012 May Text	2012 Apr Text	2012 Mar Text	2012 Feb Text	2012 Jan Text	2011 Dec Text	2011 Nov Text	2011 Oct Text	2011 Sep Text	2011 Aug Text	2011 Jul Text	2011 Jun Text	2011 May Text	2011 Apr Text	2011 Mar Text	2011 Feb Text	2011 Jan Text	2010 Dec Text	2010 Nov Text	2010 Oct Text	2010 Sep Text	2010 Aug Text	2010 Jul Text	2010 Jun Text	2010 May Text	2010 Apr Text	2010 Mar Text	2010 Feb Text	2010 Jan 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)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%	(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%	(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)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%	(Null)27.8%
Premium Thai Rice (Per 5 Kilogram)	13.82	13.81	13.7	13.98	13.47	13.62	13.63	13.61	13.32	13.4	12.97	13.32	13.59	13.89	13.92	13.79	13.77	13.66	13.67	13.8	13.37	13.21	12.82	12.95	13.23	13.28	12.93	12.98	13.31	13.42	13.46	13.01	13.43	12.9	12.9	13.01	13.02	13.33	13.59	13.12	13.09	13.27	13.48	13.54	13.61	13.6	13.47	13.38	13.54	13.56	13.57	13.79	13.9	13.9	14	14.1	14.08	13.68	13.79	13.05	13.64	13.72	13.57	13.68	13.25	13.23	13.74	13.59	13.22	13.26	12.96	13.21	13.28	13.34	13.27	13.25	13.12	13.22	13.2	13.16	12.95	12.82	12.38	12.68	12.65	13.19	13.15	12.61	12.75	13.06	12.98	13.17	13.37	13.3	13.05	12.87	12.92	13.17	13.31	13.34	12.95	12.89	13.1	13.15	13.36	13.33	12.8	13.18	13.28	13.31	13.18	12.75	12.73	13.21	13.03	13.07	12.99	13.14	12.74	13.45	13.31	13.34	13.22	13.23	12.82	13.37	13.12	13.32	12.85	12.92	12.57	12.72	12.75	12.99	13.01	12.65	12.55	12.95	12.91	12.91	12.83	12.67	12.46	12.68	12.83	12.67	12.75	12.3	12.61	12.61	12.64	12.75	12.66	12.75	12.72	12.71	12.63	12.52	12.36	12.38	12.16	12.39	12.3	12.5	12.48	12.68	12.41	12.6	12.63	12.71	12.67	12.3	12.35	12.57	12.67	12.58	12.55	12.33	11.84	11.99
Ordinary White Bread (Per 400 Gram)	2.23	2.23	2.23	2.23	2.23	2.23	2.2	2.2	2.07	2.05	2.05	2.05	2.02	2.02	2.02	1.97	1.97	1.97	1.96	1.96	1.96	1.96	1.96	1.93	1.91	1.91	1.91	1.89	1.89	1.89	1.88	1.88	1.88	1.8	1.8	1.8	1.76	1.76	1.76	1.74	1.74	1.74	1.74	1.74	1.74	1.74	1.74	1.74	1.72	1.72	1.72	1.74	1.74	1.74	1.74	1.74	1.74	1.74	1.74	1.74	1.74	1.74	1.74	1.74	1.74	1.74	1.72	1.72	1.72	1.72	1.72	1.72	1.7	1.7	1.7	1.69	1.69	1.69	1.69	1.69	1.65	1.65	1.65	1.63	1.63	1.63	1.63	1.63	1.63	1.63	1.63	1.63	1.63	1.63	1.63	1.63	1.63	1.63	1.63	1.62	1.62	1.62	1.62	1.62	1.62	1.62	1.62	1.62	1.62	1.62	1.62	1.62	1.62	1.62	1.62	1.57	1.57	1.57	1.57	1.57	1.57	1.57	1.57	1.57	1.57	1.57	1.57	1.57	1.57	1.57	1.56	1.56	1.49	1.49	1.49	1.49	1.49	1.49	1.49	1.49	1.49	1.49	1.48	1.48	1.48	1.48	1.47	1.46	1.46	1.46	1.46	1.46	1.46	1.46	1.46	1.46	1.46	1.46	1.46	1.46	1.46	1.46	1.46	1.46	1.44	1.44	1.44	1.4	1.4	1.39	1.39	1.4	1.4	1.4	1.4	1.4	1.4	1.4	1.4	1.4
Vitamin Enriched Bread (Per 400 Gram)	2.24	2.18	2.12	2.12	2.12	2.12	2.12	2.12	2.13	2.12	2.18	2.18	2.19	2.18	2.18	2.01	2.01	2.05	1.98	2	2.1	2.02	1.97	1.93	1.97	1.92	1.74	1.74	1.73	1.83	1.82	1.78	1.76	1.76	1.74	1.74	1.74	1.74	1.74	1.62	1.62	1.62	1.62	1.74	1.74	1.56	1.56	1.56	1.56	1.56	1.56	1.74	1.74	1.69	1.74	1.74	1.56	1.56	1.56	1.56	1.74	1.62	1.62	1.62	1.62	1.62	1.63	1.63	1.63	1.62	1.75	1.75	1.88	1.88	1.87	1.88	1.88	1.88	1.84	1.82	1.67	1.88	1.78	1.73	1.79	1.79	1.78	1.79	1.79	1.79	1.79	1.65	1.79	1.88	1.88	1.88	1.88	1.88	1.88	1.88	1.88	1.88	1.87	1.88	1.88	1.88	1.88	1.88	1.87	1.87	1.87	1.87	1.87	1.87	1.89	1.89	1.89	1.89	1.89	1.89	1.89	1.89	1.89	1.89	1.89	1.87	1.87	1.87	1.87	1.89	1.89	1.89	1.76	1.71	1.71	1.71	1.68	1.68	1.67	1.64	1.64	1.64	1.64	1.64	1.64	1.64	1.58	1.58	1.58	1.55	1.64	1.64	1.64	1.55	1.58	1.58	1.64	1.64	1.64	1.61	1.64	1.55	1.55	1.49	1.56	1.56	1.62	1.64	1.64	1.64	1.64	1.64	1.64	1.64	1.64	1.64	1.58	1.58	1.64	1.64
Wholemeal Bread (Per 400 Gram)	2.61	2.58	2.57	2.58	2.58	2.57	2.57	2.54	2.57	2.57	2.57	2.57	2.58	2.6	2.6	2.56	2.56	2.47	2.4	2.41	2.46	2.39	2.35	2.3	2.34	2.28	2.26	2.23	2.23	2.19	2.15	2.09	2.09	2.15	2.13	2.13	2.13	2.13	2.13	2.13	2.11	2.11	2.11	2.11	2.07	2.03	2.03	2.1	2.1	2.1	2.11	2.02	2.03	2.13	2.11	2.11	2.13	2.11	2.12	2.13	2.12	2.03	2.02	2.02	2.12	2.02	2.04	2.03	2.14	2.14	2.07	2.14	2.05	2.05	2.05	2.05	2.05	2.04	2.05	2.05	2.04	2.03	1.94	1.92	2.03	2.04	2.04	2.04	2.03	2.04	2.04	2.04	2.03	2.04	2.04	2.04	2.04	2.04	2.04	2.04	2.03	2.04	2.02	2.04	2.04	2.04	2.04	2.04	2.02	2.02	2.02	2.02	2.02	2.03	2.05	2.05	2.05	2.05	2.05	2.05	2.05	2.05	2.05	2.04	2.05	2.05	2.05	2.05	2.04	2.04	2.05	2.05	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Instant Noodles (Per 5 Packets)	2.88	2.89	2.84	2.82	2.61	2.72	2.85	2.8	2.79	2.81	2.85	2.85	2.8	2.76	2.79	2.68	2.59	2.86	2.84	2.84	2.76	2.73	2.66	2.73	2.74	2.71	2.71	2.72	2.39	2.62	2.65	2.57	2.55	2.56	2.43	2.37	2.46	2.43	2.44	2.38	2.2	2.27	2.44	2.4	2.41	2.35	2.35	2.32	2.36	2.34	2.31	2.28	2.21	2.25	2.35	2.4	2.36	2.27	2.29	2.2	2.28	2.27	2.23	2.25	2.19	2.18	2.23	2.28	2.25	2.24	2.24	2.24	2.26	2.29	2.27	2.25	2.2	2.21	2.28	2.31	2.32	2.31	2.26	2.26	2.28	2.3	2.3	2.19	2.17	2.24	2.25	2.31	2.26	2.27	2.25	2.27	2.28	2.3	2.3	2.27	2.17	2.21	2.27	2.27	2.29	2.25	2.23	2.24	2.25	2.25	2.24	2.14	2.12	2.17	2.22	2.12	2.23	2.21	2.21	2.15	2.16	2.18	2.27	2.24	2.16	2.19	2.25	2.19	2.17	2.25	2.21	2.22	2.25	2.27	2.28	2.2	2.13	2.22	2.2	2.21	2.24	2.25	2.25	2.23	2.24	2.2	2.27	2.18	2.15	2.23	2.25	2.25	2.24	2.24	2.24	2.24	2.25	2.25	2.26	2.25	2.24	2.24	2.22	2.26	2.24	2.22	2.2	2.18	2.18	2.19	2.2	2.17	2.13	2.17	2.15	2.18	2.18	2.15	2.13	2.12
Lean Pork, Chilled (Per Kilogram)	16.34	16.32	16.4	16.38	16.32	16.15	16.17	16.12	16.22	16.19	16.15	16.31	16.28	16.31	16.18	16.35	16.43	16.3	16.65	17.3	16.55	16.58	16.54	16.67	16.46	16.34	16.52	16.55	16.59	15.62	16.15	14.68	15.2	15.74	15.84	15.73	15.54	15.57	15.83	15.24	15.04	15.46	15.8	15.18	15.23	14.74	14.75	15.31	15.25	14.94	15.49	15.65	15.75	15.29	15.79	16.02	15.74	14.98	14.46	14.47	14.3	13.78	13.91	13.76	14.03	13.93	13.98	13.95	14.03	14.17	13.81	13.95	13.79	13.52	13.85	13.77	13.85	13.84	13.87	13.57	13.71	13.63	13.67	13.66	13.84	13.63	13.92	13.79	13.95	13.68	13.49	13.61	13.39	13.47	13.84	13.8	13.84	13.94	13.72	13.85	13.86	13.72	13.61	13.65	13.74	13.8	14.17	13.81	13.53	13.61	13.22	13.36	13.26	12.88	13.15	13.29	13.24	13.36	13.68	13.19	13.17	13.14	13.01	13.25	13.26	13.12	13.07	13.18	13.23	13.34	13.46	13.3	13.12	13.17	13.19	13.11	13.06	13.13	13.12	13.14	13.12	12.92	13.5	13.15	13.1	13.05	13.06	13.12	13.04	13	13.05	13	12.97	12.88	13.07	13.46	12.85	12.73	12.62	12.57	12.64	12.52	12.68	12.77	12.76	12.65	13.27	12.96	12.58	12.55	12.65	12.63	12.74	12.65	12.53	12.69	12.7	12.68	12.89	12.63
Streaky Pork, Chilled (Per Kilogram)	19.59	19.67	19.83	19.68	19.93	19.89	19.72	20.15	21	21.21	21.33	20.89	20.89	20.79	20.51	20.33	20.49	20.54	20.37	19.88	19.27	19.2	19.13	19.22	19.02	19.02	19.11	19.09	18.95	18.75	18.86	18.16	17.73	18.11	18.12	18.04	17.98	17.69	17.99	17.99	17.33	17.09	17.21	17.23	17.09	16.83	16.75	16.66	16.61	16.61	16.66	17.62	17.79	17.41	17.67	17.77	17.16	16.78	17.1	17.09	15.98	15.54	15.65	15.56	15.55	15.59	15.65	15.65	15.69	15.69	15.78	15.7	15.65	15.84	15.61	15.78	15.63	15.9	15.61	15.46	15.91	16	16.17	15.85	15.76	15.76	15.76	15.82	15.92	15.36	15.62	15.52	15.62	15.81	15.83	15.91	15.77	15.77	15.77	15.74	15.73	15.73	15.77	15.78	15.6	15.73	16.05	15.69	15.29	15.33	15.16	15.07	14.99	14.64	15.07	14.96	14.94	14.82	15.42	14.85	14.87	14.91	14.82	14.91	14.91	14.85	14.82	14.76	14.78	14.84	14.97	15.05	14.72	14.85	14.74	14.68	14.68	14.69	14.63	14.57	14.6	14.59	14.85	14.48	14.46	14.44	14.41	14.42	14.44	14.4	14.32	14.31	14.31	14.29	14.3	14.74	14.02	13.96	13.94	13.92	13.92	13.89	13.86	13.78	13.77	13.77	14.14	13.9	13.72	13.67	13.67	13.66	13.62	13.59	13.6	13.63	13.61	13.61	13.8	13.25
Pork Rib Bones, Chilled (Per Kilogram)	18.08	18.21	20.39	20.32	20.17	20.2	20.24	20.33	19.94	19.83	20.44	20.62	20.32	20.8	20.82	20.78	19.83	19.3	21.03	19.62	19.79	19.82	20.53	20.72	20.52	20.01	20.08	20.41	19.37	19.25	19.89	19.37	18.46	18.35	18.18	18.14	18.05	17.53	18.46	18.05	17.83	18.64	17.66	18.34	18.4	18.13	17.62	17.61	17.77	17.74	17.22	19.22	19.45	18.97	19.28	19.24	19.3	19.09	17.41	17.44	17.78	17.11	16.87	16.72	16.61	16.92	16.55	16.89	16.52	17.1	17.34	16.49	17.26	17.33	17.43	17.38	17.08	17.1	17.71	17.19	16.98	17.03	17.79	17.46	17.51	17.45	16.99	17.64	17.58	17.49	17.32	17.01	16.79	17.15	17.48	17.59	17.37	17.37	16.86	16.99	16.94	17.22	17.5	17.2	17	17.22	17.44	17.33	17.03	16.92	16.67	16.85	16.97	16.32	16.79	16.56	16.73	15.99	17.04	16.75	16.49	16.39	16.59	15.94	16.5	16.42	16.09	16.6	16.5	16.67	16.72	16.39	16.12	16.53	16.23	16.32	16.24	16.45	16.53	16.4	16.32	16.19	16.85	16.66	16.51	16.59	16.54	16.52	16.55	16.54	16.5	16.34	16.3	16.35	16.32	16.73	16.23	15.94	16.04	16.13	16.17	16.04	16.16	16.05	16.11	16.07	16.52	16.09	15.91	15.86	15.91	15.92	15.73	15.89	15.87	15.95	15.84	15.84	15.93	15.43
Beef, Chilled (Per Kilogram)	30.47	30.77	30.93	30.93	30.93	30.93	30.93	30.03	30.59	30.28	29.55	28.26	29.86	30.39	30.39	30.28	27.76	30.39	30.39	30.39	30.39	27.55	28.47	28.94	29.16	28.79	28.5	28.41	28.48	28.68	28.61	28.61	28.61	28.61	28.61	28.61	28.73	29.05	29.05	29.05	28.72	28.56	28.97	28.97	28.97	28.79	28.79	27.27	26	24.43	25.69	24.87	24.85	24.85	24.45	24.45	25.74	25.74	25.57	25.57	25.57	25.39	25.27	24.78	24.7	24.7	24.7	24.7	25.05	24.7	24.7	24.7	24.9	24.9	24.49	25	24.79	24.99	24.99	24.99	24.99	24.99	24.67	24.92	24.92	24.68	24.69	24.69	24.22	24.22	24.06	23.83	23.95	23.72	23.95	23.95	23.95	23.9	23.95	23.74	23.95	23.59	23.95	23.74	23.95	23.64	23.95	23.95	23.95	23.73	23.01	23.26	23.26	23.64	22.63	23.64	23.13	23.29	22.84	22.91	22.97	22.6	21.99	22.75	22.98	22.55	22.49	22.8	22.49	22.77	22.64	22.75	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Mutton, Chilled (Per Kilogram)	25.27	27.12	25.27	26.96	26.76	26.57	26.29	26.15	27.24	26.15	26.78	26.99	26.99	26.78	27.3	26.99	26.99	26.99	26.98	26.99	27.82	27.39	26.96	28.49	26.57	26.38	25.88	26.56	25.88	25.61	24.99	24.59	24.59	24.59	24.59	24.59	25.21	24.54	22.2	22.2	23.28	23.28	21.25	21.25	21.25	20.52	20.52	20.52	21.94	21.94	21.94	21.94	21.94	22.29	22.64	21.94	21.94	21.94	21.94	21.94	19.93	19.93	19.93	19.93	19.93	19.93	19.93	19.93	19.93	19.93	19.93	19.62	19.22	19.22	19.22	18.56	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	18.27	17.83	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	18.04	18.27	18.27	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	17.79	16.99	16.26	16.26	16.26	15.98	15.88	15.31	15.41	15.33	14.59	14.09	14.09	14.09	14.09

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Dollar	-
2024 Dec	2024Dec	Numeric	Dollar	-
2024 Nov	2024Nov	Numeric	Dollar	-
2024 Oct	2024Oct	Numeric	Dollar	-
2024 Sep	2024Sep	Numeric	Dollar	-
2024 Aug	2024Aug	Numeric	Dollar	-
2024 Jul	2024Jul	Numeric	Dollar	-
2024 Jun	2024Jun	Numeric	Dollar	-
2024 May	2024May	Numeric	Dollar	-
2024 Apr	2024Apr	Numeric	Dollar	-
2024 Mar	2024Mar	Numeric	Dollar	-
2024 Feb	2024Feb	Numeric	Dollar	-
2024 Jan	2024Jan	Numeric	Dollar	-
2023 Dec	2023Dec	Numeric	Dollar	-
2023 Nov	2023Nov	Numeric	Dollar	-
2023 Oct	2023Oct	Numeric	Dollar	-
2023 Sep	2023Sep	Numeric	Dollar	-
2023 Aug	2023Aug	Numeric	Dollar	-
2023 Jul	2023Jul	Numeric	Dollar	-
2023 Jun	2023Jun	Numeric	Dollar	-
2023 May	2023May	Numeric	Dollar	-
2023 Apr	2023Apr	Numeric	Dollar	-
2023 Mar	2023Mar	Numeric	Dollar	-
2023 Feb	2023Feb	Numeric	Dollar	-
2023 Jan	2023Jan	Numeric	Dollar	-
2022 Dec	2022Dec	Numeric	Dollar	-
2022 Nov	2022Nov	Numeric	Dollar	-
2022 Oct	2022Oct	Numeric	Dollar	-
2022 Sep	2022Sep	Numeric	Dollar	-
2022 Aug	2022Aug	Numeric	Dollar	-
2022 Jul	2022Jul	Numeric	Dollar	-
2022 Jun	2022Jun	Numeric	Dollar	-
2022 May	2022May	Numeric	Dollar	-
2022 Apr	2022Apr	Numeric	Dollar	-
2022 Mar	2022Mar	Numeric	Dollar	-
2022 Feb	2022Feb	Numeric	Dollar	-
2022 Jan	2022Jan	Numeric	Dollar	-
2021 Dec	2021Dec	Numeric	Dollar	-
2021 Nov	2021Nov	Numeric	Dollar	-
2021 Oct	2021Oct	Numeric	Dollar	-
2021 Sep	2021Sep	Numeric	Dollar	-
2021 Aug	2021Aug	Numeric	Dollar	-
2021 Jul	2021Jul	Numeric	Dollar	-
2021 Jun	2021Jun	Numeric	Dollar	-
2021 May	2021May	Numeric	Dollar	-
2021 Apr	2021Apr	Numeric	Dollar	-
2021 Mar	2021Mar	Numeric	Dollar	-
2021 Feb	2021Feb	Numeric	Dollar	-
2021 Jan	2021Jan	Numeric	Dollar	-
2020 Dec	2020Dec	Numeric	Dollar	-
2020 Nov	2020Nov	Numeric	Dollar	-
2020 Oct	2020Oct	Numeric	Dollar	-
2020 Sep	2020Sep	Numeric	Dollar	-
2020 Aug	2020Aug	Numeric	Dollar	-
2020 Jul	2020Jul	Numeric	Dollar	-
2020 Jun	2020Jun	Numeric	Dollar	-
2020 May	2020May	Numeric	Dollar	-
2020 Apr	2020Apr	Numeric	Dollar	-
2020 Mar	2020Mar	Numeric	Dollar	-
2020 Feb	2020Feb	Numeric	Dollar	-
2020 Jan	2020Jan	Numeric	Dollar	-
2019 Dec	2019Dec	Numeric	Dollar	-
2019 Nov	2019Nov	Numeric	Dollar	-
2019 Oct	2019Oct	Numeric	Dollar	-
2019 Sep	2019Sep	Numeric	Dollar	-
2019 Aug	2019Aug	Numeric	Dollar	-
2019 Jul	2019Jul	Numeric	Dollar	-
2019 Jun	2019Jun	Numeric	Dollar	-
2019 May	2019May	Numeric	Dollar	-
2019 Apr	2019Apr	Numeric	Dollar	-
2019 Mar	2019Mar	Numeric	Dollar	-
2019 Feb	2019Feb	Numeric	Dollar	-
2019 Jan	2019Jan	Numeric	Dollar	-
2018 Dec	2018Dec	Numeric	Dollar	-
2018 Nov	2018Nov	Numeric	Dollar	-
2018 Oct	2018Oct	Numeric	Dollar	-
2018 Sep	2018Sep	Numeric	Dollar	-
2018 Aug	2018Aug	Numeric	Dollar	-
2018 Jul	2018Jul	Numeric	Dollar	-
2018 Jun	2018Jun	Numeric	Dollar	-
2018 May	2018May	Numeric	Dollar	-
2018 Apr	2018Apr	Numeric	Dollar	-
2018 Mar	2018Mar	Numeric	Dollar	-
2018 Feb	2018Feb	Numeric	Dollar	-
2018 Jan	2018Jan	Numeric	Dollar	-
2017 Dec	2017Dec	Numeric	Dollar	-
2017 Nov	2017Nov	Numeric	Dollar	-
2017 Oct	2017Oct	Numeric	Dollar	-
2017 Sep	2017Sep	Numeric	Dollar	-
2017 Aug	2017Aug	Numeric	Dollar	-
2017 Jul	2017Jul	Numeric	Dollar	-
2017 Jun	2017Jun	Numeric	Dollar	-
2017 May	2017May	Numeric	Dollar	-
2017 Apr	2017Apr	Numeric	Dollar	-
2017 Mar	2017Mar	Numeric	Dollar	-
2017 Feb	2017Feb	Numeric	Dollar	-
2017 Jan	2017Jan	Numeric	Dollar	-
2016 Dec	2016Dec	Numeric	Dollar	-
2016 Nov	2016Nov	Numeric	Dollar	-
2016 Oct	2016Oct	Numeric	Dollar	-
2016 Sep	2016Sep	Numeric	Dollar	-
2016 Aug	2016Aug	Numeric	Dollar	-
2016 Jul	2016Jul	Numeric	Dollar	-
2016 Jun	2016Jun	Numeric	Dollar	-
2016 May	2016May	Numeric	Dollar	-
2016 Apr	2016Apr	Numeric	Dollar	-
2016 Mar	2016Mar	Numeric	Dollar	-
2016 Feb	2016Feb	Numeric	Dollar	-
2016 Jan	2016Jan	Numeric	Dollar	-
2015 Dec	2015Dec	Numeric	Dollar	-
2015 Nov	2015Nov	Numeric	Dollar	-
2015 Oct	2015Oct	Numeric	Dollar	-
2015 Sep	2015Sep	Numeric	Dollar	-
2015 Aug	2015Aug	Numeric	Dollar	-
2015 Jul	2015Jul	Numeric	Dollar	-
2015 Jun	2015Jun	Numeric	Dollar	-
2015 May	2015May	Numeric	Dollar	-
2015 Apr	2015Apr	Numeric	Dollar	-
2015 Mar	2015Mar	Numeric	Dollar	-
2015 Feb	2015Feb	Numeric	Dollar	-
2015 Jan	2015Jan	Numeric	Dollar	-
2014 Dec	2014Dec	Numeric	Dollar	-
2014 Nov	2014Nov	Numeric	Dollar	-
2014 Oct	2014Oct	Numeric	Dollar	-
2014 Sep	2014Sep	Numeric	Dollar	-
2014 Aug	2014Aug	Numeric	Dollar	-
2014 Jul	2014Jul	Numeric	Dollar	-
2014 Jun	2014Jun	Numeric	Dollar	-
2014 May	2014May	Numeric	Dollar	-
2014 Apr	2014Apr	Numeric	Dollar	-
2014 Mar	2014Mar	Numeric	Dollar	-
2014 Feb	2014Feb	Numeric	Dollar	-
2014 Jan	2014Jan	Numeric	Dollar	-
2013 Dec	2013Dec	Text	Dollar	-
2013 Nov	2013Nov	Text	Dollar	-
2013 Oct	2013Oct	Text	Dollar	-
2013 Sep	2013Sep	Text	Dollar	-
2013 Aug	2013Aug	Text	Dollar	-
2013 Jul	2013Jul	Text	Dollar	-
2013 Jun	2013Jun	Text	Dollar	-
2013 May	2013May	Text	Dollar	-
2013 Apr	2013Apr	Text	Dollar	-
2013 Mar	2013Mar	Text	Dollar	-
2013 Feb	2013Feb	Text	Dollar	-
2013 Jan	2013Jan	Text	Dollar	-
2012 Dec	2012Dec	Text	Dollar	-
2012 Nov	2012Nov	Text	Dollar	-
2012 Oct	2012Oct	Text	Dollar	-
2012 Sep	2012Sep	Text	Dollar	-
2012 Aug	2012Aug	Text	Dollar	-
2012 Jul	2012Jul	Text	Dollar	-
2012 Jun	2012Jun	Text	Dollar	-
2012 May	2012May	Text	Dollar	-
2012 Apr	2012Apr	Text	Dollar	-
2012 Mar	2012Mar	Text	Dollar	-
2012 Feb	2012Feb	Text	Dollar	-
2012 Jan	2012Jan	Text	Dollar	-
2011 Dec	2011Dec	Text	Dollar	-
2011 Nov	2011Nov	Text	Dollar	-
2011 Oct	2011Oct	Text	Dollar	-
2011 Sep	2011Sep	Text	Dollar	-
2011 Aug	2011Aug	Text	Dollar	-
2011 Jul	2011Jul	Text	Dollar	-
2011 Jun	2011Jun	Text	Dollar	-
2011 May	2011May	Text	Dollar	-
2011 Apr	2011Apr	Text	Dollar	-
2011 Mar	2011Mar	Text	Dollar	-
2011 Feb	2011Feb	Text	Dollar	-
2011 Jan	2011Jan	Text	Dollar	-
2010 Dec	2010Dec	Text	Dollar	-
2010 Nov	2010Nov	Text	Dollar	-
2010 Oct	2010Oct	Text	Dollar	-
2010 Sep	2010Sep	Text	Dollar	-
2010 Aug	2010Aug	Text	Dollar	-
2010 Jul	2010Jul	Text	Dollar	-
2010 Jun	2010Jun	Text	Dollar	-
2010 May	2010May	Text	Dollar	-
2010 Apr	2010Apr	Text	Dollar	-
2010 Mar	2010Mar	Text	Dollar	-
2010 Feb	2010Feb	Text	Dollar	-
2010 Jan	2010Jan	Text	Dollar	-

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_d2467766bca7c1ed64ecd8fe07029df3"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Data explorer

AverageRetailPricesOfSelectedConsumerItemsMonthly.csv (72 rows, 93 KB)

Column legend

Analyse this dataset with Colab Notebook

Sample OpenAPI query

Citation

About this dataset

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