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Collection: Historical Wind Direction across Singapore

Dataset: Historical Wind Direction across Singapore (2022)

Environment

Historical Wind Direction across Singapore (2022)

Data from Jan 2022 to Dec 2022

Last updated: 06 May 2025, 01:13 SGT

NEA (National Environment Agency)

Historical wind direction across 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 sales_climo@nea.gov.sg. Please note that fees may apply for data and report preparation.

Data explorer

HistoricalWindDirectionacrossSingapore2022.csv (7.4M rows, 1.3 GB)

Date
Date (YYYY-MM-DD)
Timestamp
Text
Update Timestamp
Text
Station Id
Text
Station Name
Text
Station Device Id
Text
Location Longitude
Text
Location Latitude
Text
Reading Update Timestamp
Text
Reading Value
Numeric
Reading Type
Text
Reading Unit
Text
(Null)0.0%
(Null)0.0%
2022-11-15T12:09:00+08:00<0.1%
2022-10-27T10:03:00+08:00<0.1%
2022-10-27T10:04:00+08:00<0.1%
2022-10-27T10:05:00+08:00<0.1%
(Null)0.0%
2022-11-15T20:14:31+08:00<0.1%
2022-12-03T12:39:22+08:00<0.1%
2022-11-30T22:54:38+08:00<0.1%
2022-11-30T18:09:21+08:00<0.1%
(Null)0.0%
S247.0%
S507.0%
S607.0%
S1007.0%
(Null)0.0%
Upper Changi Road North7.0%
Clementi Road7.0%
Sentosa7.0%
Woodlands Road7.0%
(Null)0.0%
S247.0%
S507.0%
S607.0%
S1007.0%
(Null)0.0%
103.98267.0%
103.77687.0%
103.82797.0%
103.748557.0%
(Null)0.0%
1.36787.0%
1.33377.0%
1.257.0%
1.41727.0%
(Null)0.0%
2022-12-12T02:24:42+08:00<0.1%
2022-11-23T21:14:25+08:00<0.1%
2022-11-17T21:14:28+08:00<0.1%
2022-11-22T21:19:20+08:00<0.1%
(Null)0.0%
48.00.4%
47.00.4%
46.00.4%
45.00.4%
(Null)0.0%
Wind Dir AVG (S) 10M M1M100.0%
(Null)0.0%
degrees100.0%
2022-01-012022-01-01T00:00:00+08:002022-01-01T00:09:12+08:00S109Ang Mo Kio Avenue 5S109103.84921.37642022-01-01T00:09:12+08:00122.0Wind Dir AVG (S) 10M M1Mdegrees
2022-01-012022-01-01T00:00:00+08:002022-01-01T00:09:12+08:00S117Banyan RoadS117103.6791.2562022-01-01T00:09:12+08:0082.0Wind Dir AVG (S) 10M M1Mdegrees
2022-01-012022-01-01T00:00:00+08:002022-01-01T00:09:12+08:00S50Clementi RoadS50103.77681.33372022-01-01T00:09:12+08:0060.0Wind Dir AVG (S) 10M M1Mdegrees
2022-01-012022-01-01T00:00:00+08:002022-01-01T00:09:12+08:00S108Marina Gardens DriveS108103.87031.27992022-01-01T00:09:12+08:00152.0Wind Dir AVG (S) 10M M1Mdegrees
2022-01-012022-01-01T00:00:00+08:002022-01-01T00:09:12+08:00S44Nanyang AvenueS44103.681661.345832022-01-01T00:04:19+08:0077.0Wind Dir AVG (S) 10M M1Mdegrees
2022-01-012022-01-01T00:00:00+08:002022-01-01T00:09:12+08:00S60SentosaS60103.82791.252022-01-01T00:09:12+08:0076.0Wind Dir AVG (S) 10M M1Mdegrees
2022-01-012022-01-01T00:00:00+08:002022-01-01T00:09:12+08:00S115Tuas South Avenue 3S115103.618431.293772022-01-01T00:09:12+08:0075.0Wind Dir AVG (S) 10M M1Mdegrees
2022-01-012022-01-01T00:00:00+08:002022-01-01T00:09:12+08:00S24Upper Changi Road NorthS24103.98261.36782022-01-01T00:09:12+08:00256.0Wind Dir AVG (S) 10M M1Mdegrees
2022-01-012022-01-01T00:00:00+08:002022-01-01T00:09:12+08:00S116West Coast HighwayS116103.7541.2812022-01-01T00:04:19+08:0083.0Wind Dir AVG (S) 10M M1Mdegrees
2022-01-012022-01-01T00:00:00+08:002022-01-01T00:09:12+08:00S104Woodlands Avenue 9S104103.785381.443872022-01-01T00:04:19+08:0049.0Wind Dir AVG (S) 10M M1Mdegrees

Column legend

Title
Column name
Data type
Unit of measure
Description
DatedateDate (YYYY-MM-DD)--
TimestamptimestampText--
Update Timestampupdate_timestampText--
Station Idstation_idText--
Station Namestation_nameText--
Station Device Idstation_device_idText--
Location Longitudelocation_longitudeText--
Location Latitudelocation_latitudeText--
Reading Update Timestampreading_update_timestampText--
Reading Valuereading_valueNumeric--
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_2fe3393d6ac6859b16f77c4aafcba55d
  2. 2. Click on the button below

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_2fe3393d6ac6859b16f77c4aafcba55d"
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.

National Environment Agency. (2025). Historical Wind Direction across Singapore (2022) (2025) [Dataset]. data.gov.sg. Retrieved May 8, 2026 from https://data.gov.sg/datasets/d_2fe3393d6ac6859b16f77c4aafcba55d/view

About this dataset

Contact

feedback@data.gov.sg

Created on

05 May 2025

Licence

Free forever for personal or commercial use, under the Open Data Licence.

Agency

NEA (National Environment Agency)