Retail Sales Index, (2017 = 100), In Chained Volume Terms, Monthly, Seasonally Adjusted
What this data shows
Published by Singapore Department of Statistics. 16 records. Fields include Data Series, 2025 Dec, 2025 Nov, 2025 Oct (493 columns in total). Covers 1985-01-01 to 2025-12-01. Last updated 2026-02-05.
Description
Monthly seasonally adjusted Retail Sales Index in chained volume terms (2017 = 100) from 1985 onward, compiled by the Singapore Department of Statistics. The series tracks consumer spending momentum across retail industries and is widely used for macro monitoring and sector analysis in Singapore. Official footnotes link to methodology and latest RSI releases.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 05/02/2026 Update Frequency: Monthly Footnotes: Link to latest RSI/FSI release is available via www.singstat.gov.sg/find-data/search-by-theme/industry/services/latest-data. Relevant methodology paper is available via www.singstat.gov.sg/find-data/search-by-theme/industry/services/publications-and-methodology. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M601872
- Last updated
- Coverage
- 1985-01-01 – 2025-12-01
- Rows
- 16
- Columns
- 493
Chart
Values are summed where multiple rows share the same category.
Data
| Data Series | 2025 Dec | 2025 Nov | 2025 Oct | 2025 Sep | 2025 Aug | 2025 Jul | 2025 Jun | 2025 May | 2025 Apr | 2025 Mar | 2025 Feb |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 93.369000 | 100.045000 | 98.828000 | 98.050000 | 101.192000 | 100.206000 | 96.819000 | 98.191000 | 94.533000 | 98.369000 | 100.072000 |
| Department Stores | 80.015000 | 82.391000 | 79.308000 | 84.242000 | 74.927000 | 82.950000 | 81.696000 | 79.695000 | 76.671000 | 83.763000 | 79.597000 |
| Supermarkets & Hypermarkets | 113.656000 | 116.084000 | 114.627000 | 116.774000 | 119.752000 | 121.491000 | 111.885000 | 116.815000 | 111.073000 | 111.690000 | 109.825000 |
| Mini-Marts & Convenience Stores | 74.758000 | 80.388000 | 78.155000 | 77.801000 | 78.979000 | 79.995000 | 75.469000 | 78.793000 | 80.551000 | 76.403000 | 81.467000 |
| Food & Alcohol | 96.284000 | 98.918000 | 96.169000 | 95.496000 | 97.498000 | 99.699000 | 94.890000 | 98.541000 | 101.178000 | 97.476000 | 105.925000 |
| Motor Vehicles | 70.726000 | 67.634000 | 71.296000 | 72.729000 | 70.079000 | 73.370000 | 67.429000 | 70.194000 | 63.583000 | 63.940000 | 70.943000 |
| Petrol Service Stations | 72.185000 | 77.863000 | 69.870000 | 76.395000 | 81.350000 | 80.961000 | 78.982000 | 78.066000 | 78.451000 | 80.884000 | 80.479000 |
| Cosmetics, Toiletries & Medical Goods | 101.341000 | 114.985000 | 110.593000 | 104.377000 | 110.812000 | 105.050000 | 106.591000 | 106.872000 | 103.476000 | 103.717000 | 106.403000 |
| Wearing Apparel & Footwear | 123.389000 | 142.966000 | 131.018000 | 125.210000 | 132.589000 | 124.847000 | 123.219000 | 126.611000 | 116.424000 | 126.662000 | 126.983000 |
| Furniture & Household Equipment | 104.989000 | 120.673000 | 114.771000 | 110.315000 | 118.566000 | 109.348000 | 110.426000 | 109.721000 | 107.341000 | 105.677000 | 105.643000 |
Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.
Columns
| Column | Type | Categorical |
|---|---|---|
| Data Series | Text | No |
| 2025 Dec | Numeric | No |
| 2025 Nov | Numeric | No |
| 2025 Oct | Numeric | No |
| 2025 Sep | Numeric | No |
| 2025 Aug | Numeric | No |
| 2025 Jul | Numeric | No |
| 2025 Jun | Numeric | No |
| 2025 May | Numeric | No |
| 2025 Apr | Numeric | No |
| 2025 Mar | Numeric | No |
| 2025 Feb | Numeric | No |
| 2025 Jan | Numeric | No |
| 2024 Dec | Numeric | No |
| 2024 Nov | Numeric | No |
| 2024 Oct | Numeric | No |
| 2024 Sep | Numeric | No |
| 2024 Aug | Numeric | No |
| 2024 Jul | Numeric | No |
| 2024 Jun | Numeric | No |
| 2024 May | Numeric | No |
| 2024 Apr | Numeric | No |
| 2024 Mar | Numeric | No |
| 2024 Feb | Numeric | No |
| 2024 Jan | Numeric | No |
| 2023 Dec | Numeric | No |
| 2023 Nov | Numeric | No |
| 2023 Oct | Numeric | No |
| 2023 Sep | Numeric | No |
| 2023 Aug | Numeric | No |
| 2023 Jul | Numeric | No |
| 2023 Jun | Numeric | No |
| 2023 May | Numeric | No |
| 2023 Apr | Numeric | No |
| 2023 Mar | Numeric | No |
| 2023 Feb | Numeric | No |
| 2023 Jan | Numeric | No |
| 2022 Dec | Numeric | No |
| 2022 Nov | Numeric | No |
| 2022 Oct | Numeric | No |
| 2022 Sep | Numeric | No |
| 2022 Aug | Numeric | No |
| 2022 Jul | Numeric | No |
| 2022 Jun | Numeric | No |
| 2022 May | Numeric | No |
| 2022 Apr | Numeric | No |
| 2022 Mar | Numeric | No |
| 2022 Feb | Numeric | No |
| 2022 Jan | Numeric | No |
| 2021 Dec | Numeric | No |
| 2021 Nov | Numeric | No |
| 2021 Oct | Numeric | No |
| 2021 Sep | Numeric | No |
| 2021 Aug | Numeric | No |
| 2021 Jul | Numeric | No |
| 2021 Jun | Numeric | No |
| 2021 May | Numeric | No |
| 2021 Apr | Numeric | No |
| 2021 Mar | Numeric | No |
| 2021 Feb | Numeric | No |
Showing the first 60 of 493 columns. Download the CSV for the full schema.