Flatormenis proxima
In 3 days ~10% in a week ~30%
Flatormenis proxima, known generally as the northern flatid planthopper or mealy flatid planthopper, is a species of flatid planthopper in the family Flatidae. Wikipedia →
| # | Park | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Great Smoky Mountains National Park | 🇺🇸 United States | |
| 2 | Shenandoah National Park | 🇺🇸 United States |
| # | City | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Washington | 🇺🇸 United States | |
| 2 | Boston | 🇺🇸 United States | |
| 3 | Baltimore | 🇺🇸 United States | |
| 4 | Philadelphia | 🇺🇸 United States | |
| 5 | New York City | 🇺🇸 United States | |
| 6 | Toronto | 🇨🇦 Canada | |
| 7 | Chicago | 🇺🇸 United States | |
| 8 | Dallas | 🇺🇸 United States |
Rare
Under 5% of wildlife watchers report a Northern Flatid Planthopper sighting in Toronto on a given day, based on 94 verified sightings from GBIF citizen-science data. It is the 240th most-seen of the 1689 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.
August and September
In those months about 10% of wildlife watchers report a Northern Flatid Planthopper in Toronto on a given day, against under 5% in October to July, the lowest months.
Between 2 and 5 pm
Across all the parks we cover, that three-hour window holds the most Northern Flatid Planthopper sightings with a recorded time, and about 7 in 10 of them come between 6 am and 6 pm: it is seen both by day and at night.
6th of 8
Of the 8 cities where we can rate Northern Flatid Planthopper sightings, Toronto ranks 6th at under 5%. The best odds are in Washington (United States, about 10%), Boston (United States, about 10%) and Baltimore (United States, about 10%).
GBIF citizen-science records
It is estimated from how often the Northern Flatid Planthopper is recorded against all the insects logged in Toronto (94 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.
