Historical Ultraviolet Index (UVI) (2023)
What this data shows
Published by National Environment Agency. 29,664 records. Fields include Date, Timestamp, Update Timestamp, Index Hour (5 columns in total). Covers 2023-01-01 to 2023-12-31. Last updated 2025-04-16.
Description
Historical Ultraviolet Index (UVI) data for Singapore covering 2023. The dataset supports research and reference on ultraviolet radiation conditions over time, with timestamps provided in Singapore Time (SGT) using ISO 8601 formatting. Its geographic scope is Singapore, while the available time dimension is limited to the historical records represented for 2023; the dataset description does not specify a finer spatial breakdown or observation frequency. It may be relevant for searches and analyses involving Singapore UV conditions, seasonal or date-based UVI review, environmental monitoring, UV exposure studies, climate and weather research, and the planning or evaluation of public-facing UV information. Users should account for potentially missing records and note that the data has not undergone the quality-control procedures applied to official climate data and records. For authoritative climate records or prepared climate data reports, contact the National Environment Agency at [email protected]; fees may apply.
Official description
Historical Ultraviolet Index (UVI) for Singapore. All timestamps are provided in Singapore Time (SGT), formatted in ISO 8601. ⠀ Disclaimer: This dataset may contain missing records and has not undergone quality control procedures applied to climate data and records. For official climate records or climate data reports, please contact [email protected]. Please note that fees may apply for data and report preparation.
- Last updated
- Coverage
- 2023-01-01 – 2023-12-31
- Rows
- 29,664
- Columns
- 5
Chart
Values are summed where multiple rows share the same category.
Compare with another dataset →Data
| Date | Timestamp | Update Timestamp | Index Hour | Index Value |
|---|---|---|---|---|
| 2023-01-01 | 2023-01-01T07:00:00+08:00 | 2023-01-01T07:06:07+08:00 | 2023-01-01T07:00:00+08:00 | 0.000000 |
| 2023-01-10 | 2023-01-10T11:00:00+08:00 | 2023-01-10T11:13:09+08:00 | 2023-01-10T11:00:00+08:00 | 4.000000 |
| 2023-01-10 | 2023-01-10T11:00:00+08:00 | 2023-01-10T11:13:09+08:00 | 2023-01-10T10:00:00+08:00 | 2.000000 |
| 2023-01-10 | 2023-01-10T11:00:00+08:00 | 2023-01-10T11:13:09+08:00 | 2023-01-10T09:00:00+08:00 | 1.000000 |
| 2023-01-10 | 2023-01-10T11:00:00+08:00 | 2023-01-10T11:13:09+08:00 | 2023-01-10T08:00:00+08:00 | 0.000000 |
| 2023-01-10 | 2023-01-10T11:00:00+08:00 | 2023-01-10T11:13:09+08:00 | 2023-01-10T07:00:00+08:00 | 0.000000 |
| 2023-01-10 | 2023-01-10T12:00:00+08:00 | 2023-01-10T12:11:07+08:00 | 2023-01-10T12:00:00+08:00 | 6.000000 |
| 2023-01-10 | 2023-01-10T12:00:00+08:00 | 2023-01-10T12:11:07+08:00 | 2023-01-10T11:00:00+08:00 | 4.000000 |
| 2023-01-10 | 2023-01-10T12:00:00+08:00 | 2023-01-10T12:11:07+08:00 | 2023-01-10T10:00:00+08:00 | 2.000000 |
| 2023-01-10 | 2023-01-10T12:00:00+08:00 | 2023-01-10T12:11:07+08:00 | 2023-01-10T09:00:00+08:00 | 1.000000 |
Preview shows 10 rows and 5 columns. Use the table search or download the CSV for the full data.
Columns
| Column | Type | Categorical |
|---|---|---|
| Date | Date (YYYY-MM-DD) | No |
| Timestamp | Text | Yes |
| Update Timestamp | Text | Yes |
| Index Hour | Text | Yes |
| Index Value | Numeric | Yes |