Food & Beverage Services Index, (2017 = 100), In Chained Volume Terms, Quarterly
What this data shows
Published by Singapore Department of Statistics. 5 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 Food & Beverage Services Index in chained volume terms (2017 = 100) from 1985, published by the Singapore Department of Statistics. Tracks dining and catering activity for macro and sector monitoring in Singapore.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 05/02/2026 Update Frequency: Quarterly Footnotes: Food & beverage services refers to the sales of prepared food and drinks for in-premises consumption or on a take-away basis. All eating places are included except hawker stalls. 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/M601941
- Last updated
- Coverage
- 1985-01-01 – 2025-12-31
- Rows
- 5
- 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 | 95.536000 | 94.666000 | 91.919000 | 92.757000 | 94.699000 | 95.437000 | 91.632000 | 93.310000 | 94.609000 | 96.368000 | 93.181000 |
| Restaurants | 77.478000 | 74.233000 | 73.683000 | 81.740000 | 79.826000 | 79.483000 | 78.300000 | 84.087000 | 80.561000 | 83.601000 | 83.561000 |
| Fast Food Outlets | 116.517000 | 115.701000 | 112.140000 | 108.298000 | 113.567000 | 116.793000 | 113.282000 | 109.848000 | 117.456000 | 124.112000 | 119.086000 |
| Food Caterers | 99.101000 | 98.745000 | 90.771000 | 93.613000 | 91.582000 | 87.816000 | 77.099000 | 80.041000 | 79.744000 | 74.661000 | 66.665000 |
| Cafes, Food Courts & Other Eating Places | 100.135000 | 101.600000 | 98.897000 | 92.923000 | 99.119000 | 101.787000 | 97.925000 | 96.382000 | 101.065000 | 102.417000 | 98.560000 |
Preview shows 5 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.