Phyllomimus unicolor

Phyllomimus unicolor

Phyllomimus unicolor

Daily sighting probability ~10% · With luck
at Kinabalu Park

In 3 days ~40% in a week ~70%

13 Verified sightings at Kinabalu Park From 2019 to 2026
13 In 1 park
November Best month
☀️🌙 Day & Night When it's spotted

Global Distribution

Parks Where Found

# Park Country Daily sighting probability
1 Kinabalu Park 🇲🇾 Malaysia
~10%

More parks will be added in future updates.

Before you go

What are the chances of seeing a Phyllomimus unicolor in Kinabalu Park?

With luck

About 10% of wildlife watchers report a Phyllomimus unicolor sighting in Kinabalu Park on a given day, based on 13 verified sightings from GBIF citizen-science data from 2019 to 2026. It is the 75th most-seen of the 297 insects we can rate there. Over three days the chance rises to about 40%, and over a week to about 70%, if each day is a fresh chance.

When is the best time to see a Phyllomimus unicolor in Kinabalu Park?

November

In that month about 30% of wildlife watchers report a Phyllomimus unicolor in Kinabalu Park on a given day, against under 5% in January, March–April, June and August, the lowest months.

What time of day is best to see a Phyllomimus unicolor?

Between 7 and 10 pm

Across all the parks we cover, that three-hour window holds the most Phyllomimus unicolor sightings with a recorded time, and about 7 in 10 of them come between 6 pm and 6 am: it is seen both by day and at night.

Where else can you see a Phyllomimus unicolor?

Only Kinabalu Park, in our data

Kinabalu Park is the only park on Wallace's Line with enough records to rate Phyllomimus unicolor sightings: about 10% of wildlife watchers there report one on a given day.

Where does the Phyllomimus unicolor sighting chance come from?

GBIF citizen-science records

It is estimated from how often the Phyllomimus unicolor is recorded against all the insects logged in Kinabalu Park (13 verified sightings from 2019 to 2026), 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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