Polionemobius taprobanense

Polionemobius taprobanense

Polionemobius taprobanense

Daily sighting probability <5% · Rare
at Singapore

In 3 days ~10% in a week ~30%

40 Verified sightings at Singapore
December Best month

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 Beijing 🇨🇳 China
~10%
2 Osaka 🇯🇵 Japan
~10%
3 Colombo [Sri Jayawardenepura Kotte] 🇱🇰 Sri Lanka
~10%
4 Hangzhou 🇨🇳 China
~10%
5 Seoul 🇰🇷 South Korea
~10%
6 Nanjing 🇨🇳 China
~10%
7 Shanghai 🇨🇳 China
~10%
8 Guangzhou 🇨🇳 China
~10%
9 Singapore 🇸🇬 Singapore
<5%
10 Tokyo 🇯🇵 Japan
<5%

Before you go

What are the chances of seeing a Polionemobius taprobanense in Singapore?

Rare

Under 5% of wildlife watchers report a Polionemobius taprobanense sighting in Singapore on a given day, based on 40 verified sightings from GBIF citizen-science data. It is the 395th 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 30%, if each day is a fresh chance.

When is the best time to see a Polionemobius taprobanense in Singapore?

July and November–January

In those months about 10% of wildlife watchers report a Polionemobius taprobanense in Singapore on a given day, against under 5% in February–June and August–October, the lowest months.

Is Singapore the best place to see a Polionemobius taprobanense?

9th of 11

Of the 11 cities where we can rate Polionemobius taprobanense sightings, Singapore ranks 9th at under 5%. The best odds are in Beijing (China, about 10%), Osaka (Japan, about 10%) and Colombo [Sri Jayawardenepura Kotte] (Sri Lanka, about 10%).

Where does the Polionemobius taprobanense sighting chance come from?

GBIF citizen-science records

It is estimated from how often the Polionemobius taprobanense is recorded against all the insects logged in Singapore (40 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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