Rich Spiny Sugar Ant

Rich Spiny Sugar Ant

Polyrhachis dives

Daily sighting probability <5% · Rare
at Bangkok

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

10 Verified sightings at Bangkok
September 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 Bangkok?

Rare

Under 5% of wildlife watchers report a Rich Spiny Sugar Ant sighting in Bangkok on a given day, based on 10 verified sightings from GBIF citizen-science data. It is the 160th most-seen of the 245 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 Bangkok?

September

In that month about 10% of wildlife watchers report a Rich Spiny Sugar Ant in Bangkok on a given day, against under 5% in October to August, the lowest months. That is one of Bangkok's wettest months, with about 280 mm of rain against 10 mm in December.

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

11th of 12

Of the 12 cities where we can rate Rich Spiny Sugar Ant sightings, Bangkok ranks 11th 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 Bangkok (10 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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