Retail Sales Value (Based On 2017=100 Index) - Estimated, Monthly | SINGSTAT

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Data explorer

RetailSalesValueBasedOn2017100IndexEstimatedMonthly.csv (2 rows, 7.6 KB)

Data Series Text	2025 Jun Numeric	2025 May Numeric	2025 Apr Numeric	2025 Mar Numeric	2025 Feb Numeric	2025 Jan Numeric	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 Text	2018 Nov Text	2018 Oct Text	2018 Sep Text	2018 Aug Text	2018 Jul Text	2018 Jun Text	2018 May Text	2018 Apr Text	2018 Mar Text	2018 Feb Text	2018 Jan Text	2017 Dec Text	2017 Nov Text	2017 Oct Text	2017 Sep Text	2017 Aug Text	2017 Jul Text	2017 Jun Text	2017 May Text	2017 Apr Text	2017 Mar Text	2017 Feb Text	2017 Jan Text	2016 Dec Text	2016 Nov Text	2016 Oct Text	2016 Sep Text	2016 Aug Text	2016 Jul Text	2016 Jun Text	2016 May Text	2016 Apr Text	2016 Mar Text	2016 Feb Text	2016 Jan Text	2015 Dec Text	2015 Nov Text	2015 Oct Text	2015 Sep Text	2015 Aug Text	2015 Jul Text	2015 Jun Text	2015 May Text	2015 Apr Text	2015 Mar Text	2015 Feb 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Text	2003 Mar Text	2003 Feb Text	2003 Jan Text	2002 Dec Text	2002 Nov Text	2002 Oct Text	2002 Sep Text	2002 Aug Text	2002 Jul Text	2002 Jun Text	2002 May Text	2002 Apr Text	2002 Mar Text	2002 Feb Text	2002 Jan Text	2001 Dec Text	2001 Nov Text	2001 Oct Text	2001 Sep Text	2001 Aug Text	2001 Jul Text	2001 Jun Text	2001 May Text	2001 Apr Text	2001 Mar Text	2001 Feb Text	2001 Jan Text	2000 Dec Text	2000 Nov Text	2000 Oct Text	2000 Sep Text	2000 Aug Text	2000 Jul Text	2000 Jun Text	2000 May Text	2000 Apr Text	2000 Mar Text	2000 Feb Text	2000 Jan Text	1999 Dec Text	1999 Nov Text	1999 Oct Text	1999 Sep Text	1999 Aug Text	1999 Jul Text	1999 Jun Text	1999 May Text	1999 Apr Text	1999 Mar Text	1999 Feb Text	1999 Jan Text	1998 Dec Text	1998 Nov Text	1998 Oct Text	1998 Sep Text	1998 Aug Text	1998 Jul Text	1998 Jun Text	1998 May Text	1998 Apr Text	1998 Mar Text	1998 Feb Text	1998 Jan Text	1997 Dec Text	1997 Nov Text	1997 Oct Text	1997 Sep Text	1997 Aug Text	1997 Jul Text	1997 Jun Text	1997 May 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Retail Sales Value - Estimated	3969	4237	3922	4305	3791	4546	4671	4177	4180	4022	4108	4050	3881	4182	3914	4238	3925	4334	4793	4180	4056	3940	4075	4010	3897	4084	3955	4117	3622	4274	4808	4090	4073	3912	3907	3955	3861	4019	3821	3950	3226	4332	4464	3835	3683	3519	3448	3459	3350	3394	3392	3604	3318	3823	4135	3698	3369	3240	3475	3387	2597	1842	2158	3332	3093	4026	4213	3703	3640	3585	3649	3675	3557	3779	3565	3828	3350	4285	4330	3840	3772	3630	3776	3695	3861	3807	3590	3812	3675	3948	4570	3893	3736	3549	3776	3777	3786	3794	3546	3850	3388	4273	4309	3709	3742	3580	3677	3748	3735	3785	3515	3755	3436	4112	4225	3625	3605	3449	3627	3575	3614	3611	3354	3526	3499	3800	4119	3482	3537	3350	3451	3449	3424	3461	3237	3494	3082	4029	3936	3268	3245	3236	3275	3263	3386	3589	3393	3366	3230	3736	3948	3379	3384	3237	3330	3336	3320	3283	3217	3446	3167	3661	3865	3316	3328	3071	3138	3362	3277	3190	3068	3078	2561	3455	3570	2997	2915	2917	2869	2867	2785	2747	2678	2897	2750	3191	3321	2836	2828	2791	2820	2830	2905	2828	2663	2891	2614	3074	3334	2741	2811	2999	2797	2958	3001	2986	2844	2955	2642	3342	3240	2741	2838	2744	2645	2619	3079	2812	2619	2773	2640	3044	3094	2680	2657	2513	2425	2615	2622	2697	2545	2858	2181	3016	2914	2450	2599	2425	2341	2516	2486	2363	2350	2558	2078	2778	2612	2330	2262	2131	2064	2214	2242	2138	2053	2248	2106	2442	2510	2082	1998	1940	1890	2072	1946	2029	1831	1930	1565	2421	2388	1977	1835	1793	1846	1973	1835	1766	1822	2019	1665	2090	2111	1822	1698	1691	1870	1797	1850	1846	1793	2042	1696	2252	2240	2002	1796	2005	1925	2098	2117	1952	1914	1909	1565	2383	2068	1850	1807	1869	1806	1771	1865	1717	1644	1644	1537	1829	1947	1651	1521	1526	1584	1729	1685	1711	1888	1522	1531	2308	2048	1863	1861	2010	1930	2154	1991	1961	1934	2027	1703	2656
Retail Sales Value (Excluding Motor Vehicles) - Estimated	3323	3584	3338	3610	3201	3972	4070	3668	3620	3418	3528	3428	3318	3591	3312	3566	3434	3772	4226	3697	3583	3475	3580	3521	3426	3590	3474	3492	3139	3866	4352	3664	3639	3455	3444	3502	3350	3539	3340	3371	2826	3802	3958	3352	3170	2950	2950	2942	2781	2868	2827	2943	2863	3237	3608	3168	2803	2685	2900	2841	2297	1746	2010	2790	2619	3522	3728	3224	3139	3057	3159	3077	3008	3139	2947	3104	2899	3553	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	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	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	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	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	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Million Dollars	-
2025 Jun	2025Jun	Numeric	Million Dollars	-
2025 May	2025May	Numeric	Million Dollars	-
2025 Apr	2025Apr	Numeric	Million Dollars	-
2025 Mar	2025Mar	Numeric	Million Dollars	-
2025 Feb	2025Feb	Numeric	Million Dollars	-
2025 Jan	2025Jan	Numeric	Million Dollars	-
2024 Dec	2024Dec	Numeric	Million Dollars	-
2024 Nov	2024Nov	Numeric	Million Dollars	-
2024 Oct	2024Oct	Numeric	Million Dollars	-

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_8c7032c995dd4c71bdc12429f2a32e92"
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). Retail Sales Value (Based On 2017=100 Index) - Estimated, Monthly (2025) [Dataset]. data.gov.sg. Retrieved August 12, 2025 from https://data.gov.sg/datasets/d_8c7032c995dd4c71bdc12429f2a32e92/view

Retail Sales Value (Based On 2017=100 Index) - Estimated, Monthly

Data explorer

RetailSalesValueBasedOn2017100IndexEstimatedMonthly.csv (2 rows, 7.6 KB)

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Sample OpenAPI query

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