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Areas where Gravitraps deployed by NEA detected relatively higherÃÂ Aedes aegyptiÃÂ mosquito populations, from April to June 2019.
Data from Oct 2025
Last updated 15 days ago (29 Aug 2026)
Attribute Legend
| Attributes | Data Type | Description |
|---|---|---|
| OBJECTID | Numeric | - |
| DESCRIPTION | Text | - |
| NAME | Text | - |
| HYPERLINK | Text | - |
| INC_CRC | Text | - |
| FMEL_UPD_D | Numeric | - |
| SHAPE.AREA | Numeric | - |
| SHAPE.LEN | Numeric | - |
Dataset preview
This code can be used to view the raw JSON dataset for Areas with High Aedes Population (GEOJSON). Large datasets may be truncated in the preview. Please download the dataset for complete data.
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"name": "AREAS_HAP",
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"properties": {
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"DESCRIPTION": "CO77 - Belimbing Ave / Butterfly Ave / Cedar Ave / Chempaka Ave / Kenanga Ave / Lichi Ave / Macpherson Rd / Mulberry Ave / Upper Aljunied Rd / Willow Ave",
"NAME": "High Aedes Mosquitoes Population Area. Let's fight Dengue together. Do the Mozzie Wipe-out today",
"HYPERLINK": "https://www.nea.gov.sg/dengue-zika/Aedes",
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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
Adding an API key gives you higher rate limits and priority support. Log in to create your API key.
import requests
dataset_id = "d_5d060d8b7838a15e8906fb22c50dbf51"
url = "https://api-open.data.gov.sg/v1/public/api/datasets/" + dataset_id + "/poll-download"
response = requests.get(url)
json_data = response.json()
if json_data['code'] != 0:
print(json_data['errMsg'])
exit(1)
url = json_data['data']['url']
response = requests.get(url)
print(response.text)This dataset can be reused and cited in research publications.
24 Jul 2019
Free forever for personal or commercial use, under the Open Data Licence.