Chrysomma sinense
Silhouette: Sheatherius · PhyloPic
In 3 days ~20% in a week ~40%
The yellow-eyed babbler (Chrysomma sinense) is a passerine bird native to South and Southeast Asia. It inhabits shrubland, grassland and wetland habitats. On the IUCN Red List, it is listed as Least Concern because of its wide distribution and stable population.
Its common name refers to the traditional placement in the Old World babbler family Timaliidae although the genus Chrysomma forms a clade along with the parrotbills within the family Paradoxornithidae. The yellow-eyed babbler was formally described in 1789 by the German naturalist Johann Friedrich Gmelin in his revised and expanded edition of Carl Linnaeus's Systema Naturae. He placed it with the tits and manakins in the genus Parus and coined the binomial name Parus sinensis. Gmelin based his account on the "Chinese titmouse" that had been described in 1783 by the English ornithologist John Latham in his book A General Synopsis of Birds. Gmelin gave the type locality as China but it is now restricted to the province of Guangdong. The yellow-eyed babbler is now placed together with Jerdon's babbler in the genus Chrysomma that was introduced in 1843 by the English zoologist Edward Blyth.
Three subspecies are recognised... Wikipedia →
| # | Park | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Udawalawe National Park | 🇱🇰 Sri Lanka | |
| 2 | Keoladeo National Park | 🇮🇳 India | |
| 3 | Mudumalai National Park | 🇮🇳 India | |
| 4 | Manas National Park | 🇮🇳 India | |
| 5 | Ranthambore National Park | 🇮🇳 India | |
| 6 | Yala National Park | 🇱🇰 Sri Lanka | |
| 7 | Jim Corbett National Park | 🇮🇳 India | |
| 8 | Royal Bardia National Park | 🇳🇵 Nepal | |
| 9 | Bandipur National Park | 🇮🇳 India | |
| 10 | Minneriya National Park | 🇱🇰 Sri Lanka | |
| 11 | Chitwan National Park | 🇳🇵 Nepal | |
| 12 | Bandhavgarh National Park | 🇮🇳 India | |
| 13 | Satpura National Park | 🇮🇳 India | |
| 14 | Kanha National Park | 🇮🇳 India | |
| 15 | Nagarhole National Park | 🇮🇳 India | |
| 16 | Wilpattu National Park | 🇱🇰 Sri Lanka | |
| 17 | Kaziranga National Park | 🇮🇳 India | |
| 18 | Sinharaja Forest Reserve | 🇱🇰 Sri Lanka | |
| 19 | Kaeng Krachan National Park | 🇹🇭 Thailand |
| # | City | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Asansol | 🇮🇳 India | |
| 2 | Gwalior | 🇮🇳 India | |
| 3 | Nagpur | 🇮🇳 India | |
| 4 | Kalyan-Dombivli | 🇮🇳 India | |
| 5 | Bhopal | 🇮🇳 India | |
| 6 | Jamshedpur | 🇮🇳 India | |
| 7 | Solapur | 🇮🇳 India | |
| 8 | Nashik | 🇮🇳 India | |
| 9 | Jaipur | 🇮🇳 India | |
| 10 | Rajkot | 🇮🇳 India |
With luck
About 10% of wildlife watchers report a Yellow-eyed Babbler sighting in Royal Bardia National Park on a given day, based on 27 verified sightings from GBIF citizen-science data from 2019 to 2026. It is the 134th most-seen of the 233 birds we can rate there. Over three days the chance rises to about 20%, and over a week to about 40%, if each day is a fresh chance.
December
In that month about 20% of wildlife watchers report a Yellow-eyed Babbler in Royal Bardia National Park on a given day, against under 5% in February, June and October, the lowest months. That is one of Royal Bardia National Park's driest months, with about 10 mm of rain against 590 mm in July. August has too few records to rate.
Between 7 and 10 am
Across all the parks we cover, that three-hour window holds the most Yellow-eyed Babbler sightings with a recorded time, and about 9 in 10 of them come between 6 am and 6 pm: it is a daytime animal.
8th of 19
Of the 19 parks where we can rate Yellow-eyed Babbler sightings, Royal Bardia National Park ranks 8th at about 10%. The best odds are in Udawalawe National Park (Sri Lanka, about 50%), Keoladeo National Park (India, about 20%) and Mudumalai National Park (India, about 20%).
GBIF citizen-science records
It is estimated from how often the Yellow-eyed Babbler is recorded against all the birds logged in Royal Bardia National Park (27 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.
