Retail Sales Index, (2017 = 100), In Chained Volume Terms, Quarterly
What this data shows
Published by Singapore Department of Statistics. 16 records. Fields include Data Series, 2025 4Q, 2025 3Q, 2025 2Q (165 columns in total). Covers 1985-01-01 to 2025-12-31. Last updated 2026-02-05.
Description
Quarterly Retail Sales Index in chained volume terms with base year 2017 = 100, published by the Singapore Department of Statistics in CSV format from 1985 through 2025 Q4. Tracks real retail activity after price effects, supporting consumption cycle analysis and services-sector monitoring with methodology on Singstat’s services industry pages.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 05/02/2026 Update Frequency: Quarterly 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/M601891
- Last updated
- Coverage
- 1985-01-01 – 2025-12-31
- Rows
- 16
- Columns
- 165
Chart
Values are summed where multiple rows share the same category.
Data
| Data Series | 2025 4Q | 2025 3Q | 2025 2Q | 2025 1Q | 2024 4Q | 2024 3Q | 2024 2Q | 2024 1Q | 2023 4Q | 2023 3Q | 2023 2Q |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 103.468000 | 97.604000 | 93.205000 | 97.213000 | 101.022000 | 94.292000 | 91.972000 | 96.708000 | 101.844000 | 94.548000 | 93.278000 |
| Department Stores | 91.908000 | 74.877000 | 74.844000 | 80.633000 | 91.719000 | 73.689000 | 76.242000 | 82.855000 | 94.922000 | 79.803000 | 80.065000 |
| Supermarkets & Hypermarkets | 113.936000 | 119.324000 | 108.939000 | 117.712000 | 109.260000 | 111.285000 | 106.007000 | 117.982000 | 107.640000 | 109.446000 | 107.010000 |
| Mini-Marts & Convenience Stores | 76.276000 | 80.758000 | 76.701000 | 77.979000 | 73.202000 | 82.516000 | 77.651000 | 81.302000 | 80.588000 | 85.578000 | 84.548000 |
| Food & Alcohol | 102.571000 | 95.813000 | 94.227000 | 103.890000 | 109.571000 | 99.991000 | 97.154000 | 107.567000 | 103.851000 | 96.747000 | 92.046000 |
| Motor Vehicles | 66.104000 | 71.927000 | 69.130000 | 67.835000 | 60.358000 | 64.677000 | 62.075000 | 59.887000 | 52.887000 | 53.426000 | 53.215000 |
| Petrol Service Stations | 72.024000 | 81.266000 | 78.190000 | 79.481000 | 79.151000 | 85.377000 | 83.413000 | 86.989000 | 84.396000 | 88.661000 | 87.333000 |
| Cosmetics, Toiletries & Medical Goods | 116.456000 | 104.975000 | 101.247000 | 103.152000 | 108.857000 | 98.873000 | 95.840000 | 96.497000 | 105.465000 | 97.216000 | 97.004000 |
| Wearing Apparel & Footwear | 143.474000 | 120.919000 | 116.445000 | 130.839000 | 141.901000 | 123.430000 | 120.995000 | 136.712000 | 145.264000 | 132.432000 | 132.838000 |
| Furniture & Household Equipment | 126.728000 | 108.124000 | 103.563000 | 103.046000 | 120.654000 | 103.349000 | 104.672000 | 102.450000 | 118.727000 | 104.125000 | 105.742000 |
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 4Q | Numeric | No |
| 2025 3Q | Numeric | No |
| 2025 2Q | Numeric | No |
| 2025 1Q | Numeric | No |
| 2024 4Q | Numeric | No |
| 2024 3Q | Numeric | No |
| 2024 2Q | Numeric | No |
| 2024 1Q | Numeric | No |
| 2023 4Q | Numeric | No |
| 2023 3Q | Numeric | No |
| 2023 2Q | Numeric | No |
| 2023 1Q | Numeric | No |
| 2022 4Q | Numeric | No |
| 2022 3Q | Numeric | No |
| 2022 2Q | Numeric | No |
| 2022 1Q | Numeric | No |
| 2021 4Q | Numeric | No |
| 2021 3Q | Numeric | No |
| 2021 2Q | Numeric | No |
| 2021 1Q | Numeric | No |
| 2020 4Q | Numeric | No |
| 2020 3Q | Numeric | No |
| 2020 2Q | Numeric | No |
| 2020 1Q | Numeric | No |
| 2019 4Q | Numeric | No |
| 2019 3Q | Numeric | No |
| 2019 2Q | Numeric | No |
| 2019 1Q | Numeric | No |
| 2018 4Q | Numeric | No |
| 2018 3Q | Numeric | No |
| 2018 2Q | Numeric | No |
| 2018 1Q | Numeric | No |
| 2017 4Q | Numeric | No |
| 2017 3Q | Numeric | No |
| 2017 2Q | Numeric | No |
| 2017 1Q | Numeric | No |
| 2016 4Q | Numeric | No |
| 2016 3Q | Numeric | No |
| 2016 2Q | Numeric | No |
| 2016 1Q | Numeric | No |
| 2015 4Q | Numeric | No |
| 2015 3Q | Numeric | No |
| 2015 2Q | Numeric | No |
| 2015 1Q | Numeric | No |
| 2014 4Q | Numeric | No |
| 2014 3Q | Numeric | No |
| 2014 2Q | Numeric | No |
| 2014 1Q | Numeric | No |
| 2013 4Q | Numeric | No |
| 2013 3Q | Numeric | No |
| 2013 2Q | Numeric | No |
| 2013 1Q | Numeric | No |
| 2012 4Q | Numeric | No |
| 2012 3Q | Numeric | No |
| 2012 2Q | Numeric | No |
| 2012 1Q | Numeric | No |
| 2011 4Q | Numeric | No |
| 2011 3Q | Numeric | No |
| 2011 2Q | Numeric | No |
Showing the first 60 of 165 columns. Download the CSV for the full schema.