A Singapore Government Agency Website
Official website links end with .gov.sg
Government agencies communicate via .gov.sg websites (e.g. go.gov.sg/open). Trusted websites

Secure websites use HTTPS

Look for a lock () or https:// as an added precaution. Share sensitive information only on official, secure websites.

Average Retail Prices Of Selected Consumer Items, Monthly

Data from Jan 2010 to Sep 2024Updated 24 days ago

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 23/10/2024

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

Data explorer

AverageRetailPricesOfSelectedConsumerItemsMonthly.csv (72 rows, 91.4 KB)

Data Series
Text
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)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)13.9813.4713.6213.6313.6113.3213.412.9713.3213.5913.8913.9213.7913.7713.6613.6713.813.3713.2112.8212.9513.2313.2812.9312.9813.3113.4213.4613.0113.4312.912.913.0113.0213.3313.5913.1213.0913.2713.4813.5413.6113.613.4713.3813.5413.5613.5713.7913.913.91414.114.0813.6813.7913.0513.6413.7213.5713.6813.2513.2313.7413.5913.2213.2612.9613.2113.2813.3413.2713.2513.1213.2213.213.1612.9512.8212.3812.6812.6513.1913.1512.6112.7513.0612.9813.1713.3713.313.0512.8712.9213.1713.3113.3412.9512.8913.113.1513.3613.3312.813.1813.2813.3113.1812.7512.7313.2113.0313.0712.9913.1412.7413.4513.3113.3413.2213.2312.8213.3713.1213.3212.8512.9212.5712.7212.7512.9913.0112.6512.5512.9512.9112.9112.8312.6712.4612.6812.8312.6712.7512.312.6112.6112.6412.7512.6612.7512.7212.7112.6312.5212.3612.3812.1612.3912.312.512.4812.6812.4112.612.6312.7112.6712.312.3512.5712.6712.5812.5512.3311.8411.99
Ordinary White Bread (Per 400 Gram)2.232.232.232.22.22.072.052.052.052.022.022.021.971.971.971.961.961.961.961.961.931.911.911.911.891.891.891.881.881.881.81.81.81.761.761.761.741.741.741.741.741.741.741.741.741.721.721.721.741.741.741.741.741.741.741.741.741.741.741.741.741.741.741.721.721.721.721.721.721.71.71.71.691.691.691.691.691.651.651.651.631.631.631.631.631.631.631.631.631.631.631.631.631.631.631.631.621.621.621.621.621.621.621.621.621.621.621.621.621.621.621.621.571.571.571.571.571.571.571.571.571.571.571.571.571.571.571.561.561.491.491.491.491.491.491.491.491.491.491.481.481.481.481.471.461.461.461.461.461.461.461.461.461.461.461.461.461.461.461.461.461.441.441.441.41.41.391.391.41.41.41.41.41.41.41.41.4
Vitamin Enriched Bread (Per 400 Gram)2.122.122.122.122.122.132.122.182.182.192.182.182.012.012.051.9822.12.021.971.931.971.921.741.741.731.831.821.781.761.761.741.741.741.741.741.621.621.621.621.741.741.561.561.561.561.561.561.741.741.691.741.741.561.561.561.561.741.621.621.621.621.621.631.631.631.621.751.751.881.881.871.881.881.881.841.821.671.881.781.731.791.791.781.791.791.791.791.651.791.881.881.881.881.881.881.881.881.881.871.881.881.881.881.881.871.871.871.871.871.871.891.891.891.891.891.891.891.891.891.891.891.871.871.871.871.891.891.891.761.711.711.711.681.681.671.641.641.641.641.641.641.641.581.581.581.551.641.641.641.551.581.581.641.641.641.611.641.551.551.491.561.561.621.641.641.641.641.641.641.641.641.641.581.581.641.64
Wholemeal Bread (Per 400 Gram)2.582.582.572.572.542.572.572.572.572.582.62.62.562.562.472.42.412.462.392.352.32.342.282.262.232.232.192.152.092.092.152.132.132.132.132.132.132.112.112.112.112.072.032.032.12.12.12.112.022.032.132.112.112.132.112.122.132.122.032.022.022.122.022.042.032.142.142.072.142.052.052.052.052.052.042.052.052.042.031.941.922.032.042.042.042.032.042.042.042.032.042.042.042.042.042.042.042.032.042.022.042.042.042.042.042.022.022.022.022.022.032.052.052.052.052.052.052.052.052.052.042.052.052.052.052.042.042.052.05nananananananananananananananananananananananananananananananananananananananananananananananana
Instant Noodles (Per 5 Packets)2.822.612.722.852.82.792.812.852.852.82.762.792.682.592.862.842.842.762.732.662.732.742.712.712.722.392.622.652.572.552.562.432.372.462.432.442.382.22.272.442.42.412.352.352.322.362.342.312.282.212.252.352.42.362.272.292.22.282.272.232.252.192.182.232.282.252.242.242.242.262.292.272.252.22.212.282.312.322.312.262.262.282.32.32.192.172.242.252.312.262.272.252.272.282.32.32.272.172.212.272.272.292.252.232.242.252.252.242.142.122.172.222.122.232.212.212.152.162.182.272.242.162.192.252.192.172.252.212.222.252.272.282.22.132.222.22.212.242.252.252.232.242.22.272.182.152.232.252.252.242.242.242.242.252.252.262.252.242.242.222.262.242.222.22.182.182.192.22.172.132.172.152.182.182.152.132.12
Lean Pork, Chilled (Per Kilogram)16.3816.3216.1516.1716.1216.2216.1916.1516.3116.2816.3116.1816.3516.4316.316.6517.316.5516.5816.5416.6716.4616.3416.5216.5516.5915.6216.1514.6815.215.7415.8415.7315.5415.5715.8315.2415.0415.4615.815.1815.2314.7414.7515.3115.2514.9415.4915.6515.7515.2915.7916.0215.7414.9814.4614.4714.313.7813.9113.7614.0313.9313.9813.9514.0314.1713.8113.9513.7913.5213.8513.7713.8513.8413.8713.5713.7113.6313.6713.6613.8413.6313.9213.7913.9513.6813.4913.6113.3913.4713.8413.813.8413.9413.7213.8513.8613.7213.6113.6513.7413.814.1713.8113.5313.6113.2213.3613.2612.8813.1513.2913.2413.3613.6813.1913.1713.1413.0113.2513.2613.1213.0713.1813.2313.3413.4613.313.1213.1713.1913.1113.0613.1313.1213.1413.1212.9213.513.1513.113.0513.0613.1213.041313.051312.9712.8813.0713.4612.8512.7312.6212.5712.6412.5212.6812.7712.7612.6513.2712.9612.5812.5512.6512.6312.7412.6512.5312.6912.712.6812.8912.63
Streaky Pork, Chilled (Per Kilogram)19.6819.9319.8919.7220.152121.2121.3320.8920.8920.7920.5120.3320.4920.5420.3719.8819.2719.219.1319.2219.0219.0219.1119.0918.9518.7518.8618.1617.7318.1118.1218.0417.9817.6917.9917.9917.3317.0917.2117.2317.0916.8316.7516.6616.6116.6116.6617.6217.7917.4117.6717.7717.1616.7817.117.0915.9815.5415.6515.5615.5515.5915.6515.6515.6915.6915.7815.715.6515.8415.6115.7815.6315.915.6115.4615.911616.1715.8515.7615.7615.7615.8215.9215.3615.6215.5215.6215.8115.8315.9115.7715.7715.7715.7415.7315.7315.7715.7815.615.7316.0515.6915.2915.3315.1615.0714.9914.6415.0714.9614.9414.8215.4214.8514.8714.9114.8214.9114.9114.8514.8214.7614.7814.8414.9715.0514.7214.8514.7414.6814.6814.6914.6314.5714.614.5914.8514.4814.4614.4414.4114.4214.4414.414.3214.3114.3114.2914.314.7414.0213.9613.9413.9213.9213.8913.8613.7813.7713.7714.1413.913.7213.6713.6713.6613.6213.5913.613.6313.6113.6113.813.25
Pork Rib Bones, Chilled (Per Kilogram)20.3220.1720.220.2420.3319.9419.8320.4420.6220.3220.820.8220.7819.8319.321.0319.6219.7919.8220.5320.7220.5220.0120.0820.4119.3719.2519.8919.3718.4618.3518.1818.1418.0517.5318.4618.0517.8318.6417.6618.3418.418.1317.6217.6117.7717.7417.2219.2219.4518.9719.2819.2419.319.0917.4117.4417.7817.1116.8716.7216.6116.9216.5516.8916.5217.117.3416.4917.2617.3317.4317.3817.0817.117.7117.1916.9817.0317.7917.4617.5117.4516.9917.6417.5817.4917.3217.0116.7917.1517.4817.5917.3717.3716.8616.9916.9417.2217.517.21717.2217.4417.3317.0316.9216.6716.8516.9716.3216.7916.5616.7315.9917.0416.7516.4916.3916.5915.9416.516.4216.0916.616.516.6716.7216.3916.1216.5316.2316.3216.2416.4516.5316.416.3216.1916.8516.6616.5116.5916.5416.5216.5516.5416.516.3416.316.3516.3216.7316.2315.9416.0416.1316.1716.0416.1616.0516.1116.0716.5216.0915.9115.8615.9115.9215.7315.8915.8715.9515.8415.8415.9315.43
Beef, Chilled (Per Kilogram)30.9330.9330.9330.9330.0330.5930.2829.5528.2629.8630.3930.3930.2827.7630.3930.3930.3930.3927.5528.4728.9429.1628.7928.528.4128.4828.6828.6128.6128.6128.6128.6128.6128.7329.0529.0529.0528.7228.5628.9728.9728.9728.7928.7927.272624.4325.6924.8724.8524.8524.4524.4525.7425.7425.5725.5725.5725.3925.2724.7824.724.724.724.725.0524.724.724.724.924.924.492524.7924.9924.9924.9924.9924.9924.6724.9224.9224.6824.6924.6924.2224.2224.0623.8323.9523.7223.9523.9523.9523.923.9523.7423.9523.5923.9523.7423.9523.6423.9523.9523.9523.7323.0123.2623.2623.6422.6323.6423.1323.2922.8422.9122.9722.621.9922.7522.9822.5522.4922.822.4922.7722.6422.75nananananananananananananananananananananananananananananananananananananananananananananananana
Mutton, Chilled (Per Kilogram)26.9626.7626.5726.2926.1527.2426.1526.7826.9926.9926.7827.326.9926.9926.9926.9826.9927.8227.3926.9628.4926.5726.3825.8826.5625.8825.6124.9924.5924.5924.5924.5924.5925.2124.5422.222.223.2823.2821.2521.2521.2520.5220.5220.5221.9421.9421.9421.9421.9422.2922.6421.9421.9421.9421.9421.9419.9319.9319.9319.9319.9319.9319.9319.9319.9319.9319.9319.6219.2219.2219.2218.5618.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2718.2717.8317.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7918.0418.2718.2717.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7917.7916.9916.2616.2616.2615.9815.8815.3115.4115.3314.5914.0914.0914.0914.09

Column legend

Title
Column name
Data type
Unit of measure
Description
Data SeriesDataSeriesTextDollar-
2024 Sep2024SepNumericDollar-
2024 Aug2024AugNumericDollar-
2024 Jul2024JulNumericDollar-
2024 Jun2024JunNumericDollar-
2024 May2024MayNumericDollar-
2024 Apr2024AprNumericDollar-
2024 Mar2024MarNumericDollar-
2024 Feb2024FebNumericDollar-
2024 Jan2024JanNumericDollar-
2023 Dec2023DecNumericDollar-
2023 Nov2023NovNumericDollar-
2023 Oct2023OctNumericDollar-
2023 Sep2023SepNumericDollar-
2023 Aug2023AugNumericDollar-
2023 Jul2023JulNumericDollar-
2023 Jun2023JunNumericDollar-
2023 May2023MayNumericDollar-
2023 Apr2023AprNumericDollar-
2023 Mar2023MarNumericDollar-
2023 Feb2023FebNumericDollar-
2023 Jan2023JanNumericDollar-
2022 Dec2022DecNumericDollar-
2022 Nov2022NovNumericDollar-
2022 Oct2022OctNumericDollar-
2022 Sep2022SepNumericDollar-
2022 Aug2022AugNumericDollar-
2022 Jul2022JulNumericDollar-
2022 Jun2022JunNumericDollar-
2022 May2022MayNumericDollar-
2022 Apr2022AprNumericDollar-
2022 Mar2022MarNumericDollar-
2022 Feb2022FebNumericDollar-
2022 Jan2022JanNumericDollar-
2021 Dec2021DecNumericDollar-
2021 Nov2021NovNumericDollar-
2021 Oct2021OctNumericDollar-
2021 Sep2021SepNumericDollar-
2021 Aug2021AugNumericDollar-
2021 Jul2021JulNumericDollar-
2021 Jun2021JunNumericDollar-
2021 May2021MayNumericDollar-
2021 Apr2021AprNumericDollar-
2021 Mar2021MarNumericDollar-
2021 Feb2021FebNumericDollar-
2021 Jan2021JanNumericDollar-
2020 Dec2020DecNumericDollar-
2020 Nov2020NovNumericDollar-
2020 Oct2020OctNumericDollar-
2020 Sep2020SepNumericDollar-
2020 Aug2020AugNumericDollar-
2020 Jul2020JulNumericDollar-
2020 Jun2020JunNumericDollar-
2020 May2020MayNumericDollar-
2020 Apr2020AprNumericDollar-
2020 Mar2020MarNumericDollar-
2020 Feb2020FebNumericDollar-
2020 Jan2020JanNumericDollar-
2019 Dec2019DecNumericDollar-
2019 Nov2019NovNumericDollar-
2019 Oct2019OctNumericDollar-
2019 Sep2019SepNumericDollar-
2019 Aug2019AugNumericDollar-
2019 Jul2019JulNumericDollar-
2019 Jun2019JunNumericDollar-
2019 May2019MayNumericDollar-
2019 Apr2019AprNumericDollar-
2019 Mar2019MarNumericDollar-
2019 Feb2019FebNumericDollar-
2019 Jan2019JanNumericDollar-
2018 Dec2018DecNumericDollar-
2018 Nov2018NovNumericDollar-
2018 Oct2018OctNumericDollar-
2018 Sep2018SepNumericDollar-
2018 Aug2018AugNumericDollar-
2018 Jul2018JulNumericDollar-
2018 Jun2018JunNumericDollar-
2018 May2018MayNumericDollar-
2018 Apr2018AprNumericDollar-
2018 Mar2018MarNumericDollar-
2018 Feb2018FebNumericDollar-
2018 Jan2018JanNumericDollar-
2017 Dec2017DecNumericDollar-
2017 Nov2017NovNumericDollar-
2017 Oct2017OctNumericDollar-
2017 Sep2017SepNumericDollar-
2017 Aug2017AugNumericDollar-
2017 Jul2017JulNumericDollar-
2017 Jun2017JunNumericDollar-
2017 May2017MayNumericDollar-
2017 Apr2017AprNumericDollar-
2017 Mar2017MarNumericDollar-
2017 Feb2017FebNumericDollar-
2017 Jan2017JanNumericDollar-
2016 Dec2016DecNumericDollar-
2016 Nov2016NovNumericDollar-
2016 Oct2016OctNumericDollar-
2016 Sep2016SepNumericDollar-
2016 Aug2016AugNumericDollar-
2016 Jul2016JulNumericDollar-
2016 Jun2016JunNumericDollar-
2016 May2016MayNumericDollar-
2016 Apr2016AprNumericDollar-
2016 Mar2016MarNumericDollar-
2016 Feb2016FebNumericDollar-
2016 Jan2016JanNumericDollar-
2015 Dec2015DecNumericDollar-
2015 Nov2015NovNumericDollar-
2015 Oct2015OctNumericDollar-
2015 Sep2015SepNumericDollar-
2015 Aug2015AugNumericDollar-
2015 Jul2015JulNumericDollar-
2015 Jun2015JunNumericDollar-
2015 May2015MayNumericDollar-
2015 Apr2015AprNumericDollar-
2015 Mar2015MarNumericDollar-
2015 Feb2015FebNumericDollar-
2015 Jan2015JanNumericDollar-
2014 Dec2014DecNumericDollar-
2014 Nov2014NovNumericDollar-
2014 Oct2014OctNumericDollar-
2014 Sep2014SepNumericDollar-
2014 Aug2014AugNumericDollar-
2014 Jul2014JulNumericDollar-
2014 Jun2014JunNumericDollar-
2014 May2014MayNumericDollar-
2014 Apr2014AprNumericDollar-
2014 Mar2014MarNumericDollar-
2014 Feb2014FebNumericDollar-
2014 Jan2014JanNumericDollar-
2013 Dec2013DecTextDollar-
2013 Nov2013NovTextDollar-
2013 Oct2013OctTextDollar-
2013 Sep2013SepTextDollar-
2013 Aug2013AugTextDollar-
2013 Jul2013JulTextDollar-
2013 Jun2013JunTextDollar-
2013 May2013MayTextDollar-
2013 Apr2013AprTextDollar-
2013 Mar2013MarTextDollar-
2013 Feb2013FebTextDollar-
2013 Jan2013JanTextDollar-
2012 Dec2012DecTextDollar-
2012 Nov2012NovTextDollar-
2012 Oct2012OctTextDollar-
2012 Sep2012SepTextDollar-
2012 Aug2012AugTextDollar-
2012 Jul2012JulTextDollar-
2012 Jun2012JunTextDollar-
2012 May2012MayTextDollar-
2012 Apr2012AprTextDollar-
2012 Mar2012MarTextDollar-
2012 Feb2012FebTextDollar-
2012 Jan2012JanTextDollar-
2011 Dec2011DecTextDollar-
2011 Nov2011NovTextDollar-
2011 Oct2011OctTextDollar-
2011 Sep2011SepTextDollar-
2011 Aug2011AugTextDollar-
2011 Jul2011JulTextDollar-
2011 Jun2011JunTextDollar-
2011 May2011MayTextDollar-
2011 Apr2011AprTextDollar-
2011 Mar2011MarTextDollar-
2011 Feb2011FebTextDollar-
2011 Jan2011JanTextDollar-
2010 Dec2010DecTextDollar-
2010 Nov2010NovTextDollar-
2010 Oct2010OctTextDollar-
2010 Sep2010SepTextDollar-
2010 Aug2010AugTextDollar-
2010 Jul2010JulTextDollar-
2010 Jun2010JunTextDollar-
2010 May2010MayTextDollar-
2010 Apr2010AprTextDollar-
2010 Mar2010MarTextDollar-
2010 Feb2010FebTextDollar-
2010 Jan2010JanTextDollar-
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_d2467766bca7c1ed64ecd8fe07029df3
  2. 2. Click on the button below

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())

Citation

This dataset can be reused and cited in research publications.

Singapore Department of Statistics. (2023). Average Retail Prices Of Selected Consumer Items, Monthly (2024) [Dataset]. data.gov.sg. Retrieved November 25, 2024 from https://data.gov.sg/datasets/d_d2467766bca7c1ed64ecd8fe07029df3/view

About this dataset

Contact

feedback@data.gov.sg

Created on

28 Mar 2023

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)

Dataset usage

25
Views
555
Downloads
9
API calls