Rich Spiny Sugar Ant

Rich Spiny Sugar Ant

Polyrhachis dives

Daily sighting probability <5% · Rare
at Singapore

In 3 days ~10% in a week ~20%

9 Verified sightings at Singapore
January Best month

About the Rich Spiny Sugar Ant

Polyrhachis dives is a wide-ranging species of ant from southern Asia and the Northern Territory of Australia. Wikipedia →

Global Distribution

Parks Where Found

# Park Country Daily sighting probability

More parks will be added in future updates.

Cities Where Found

# City Country Daily sighting probability
1 Tuen Mun 🇨🇳 China
~30%
2 Naha 🇯🇵 Japan
~10%
3 Guangzhou 🇨🇳 China
~10%
4 Denpasar 🇮🇩 Indonesia
~10%
5 Xiamen City 🇨🇳 China
~10%
6 Fuzhou 🇨🇳 China
~10%
7 Taichung 🇹🇼 Taiwan
~10%
8 Kochi 🇮🇳 India
~10%
9 Taipei 🇹🇼 Taiwan
~10%
10 Hong Kong 🇨🇳 China
<5%

Before you go

What are the chances of seeing a Rich Spiny Sugar Ant in Singapore?

Rare

Under 5% of wildlife watchers report a Rich Spiny Sugar Ant sighting in Singapore on a given day, based on 9 verified sightings from GBIF citizen-science data. It is the 788th most-seen of the 1045 insects we can rate there. Over three days the chance rises to about 10%, and over a week to about 20%, if each day is a fresh chance.

When is the best time to see a Rich Spiny Sugar Ant in Singapore?

Any time of year

In every month with enough records, under 5% of wildlife watchers report a Rich Spiny Sugar Ant in Singapore on a given day, so our monthly data shows no clear season.

Is Singapore the best place to see a Rich Spiny Sugar Ant?

12th of 12

Of the 12 cities where we can rate Rich Spiny Sugar Ant sightings, Singapore ranks 12th at under 5%. The best odds are in Tuen Mun (China, about 30%), Naha (Japan, about 10%) and Guangzhou (China, about 10%).

Where does the Rich Spiny Sugar Ant sighting chance come from?

GBIF citizen-science records

It is estimated from how often the Rich Spiny Sugar Ant is recorded against all the insects logged in Singapore (9 verified sightings), calibrated against known sighting rates. Figures are rounded to the nearest 10% because citizen-science data supports honest approximations, not decimals, and months with records from fewer than five people show "—". How it works.

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