Oriolus kundoo
Silhouette: L. Shyamal · PhyloPic
In 3 days ~10% in a week ~30%
The Indian golden oriole (Oriolus kundoo) is a species of oriole found in the Indian subcontinent and Central Asia. The species was formerly considered to be a subspecies of the Eurasian golden oriole, but is now considered a full species. Adults can be told apart from the Eurasian golden oriole by the black of the eye stripe extending behind the eye.
The Indian golden oriole was described by the English naturalist William Henry Sykes in 1832 and given the binomial name Oriolus kundoo. Although initially described as a separate species, the Indian golden oriole was usually treated as a subspecies of the Eurasian golden oriole. In 2005, the ornithologists Pamela Rasmussen and John Anderton in their Birds of South Asia decided to treat the two varieties as separate species based on the differences in morphology, plumage, calls and the fact that the two varieties do not intergrade. Support for this split was provided by a molecular phylogenetic study published in 2010, and most ornithologists now treat the Indian golden oriole as a separate species. The race baltistanicus was judged by Charles Vaurie to be indistinguishable from the nominate subspecies and... Wikipedia →
| # | Park | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Nagarhole National Park | 🇮🇳 India | |
| 2 | Periyar National Park | 🇮🇳 India | |
| 3 | Keoladeo National Park | 🇮🇳 India | |
| 4 | Bandhavgarh National Park | 🇮🇳 India | |
| 5 | Ranthambore National Park | 🇮🇳 India | |
| 6 | Kanha National Park | 🇮🇳 India | |
| 7 | Chitwan National Park | 🇳🇵 Nepal | |
| 8 | Satpura National Park | 🇮🇳 India | |
| 9 | Bandipur National Park | 🇮🇳 India | |
| 10 | Royal Bardia National Park | 🇳🇵 Nepal | |
| 11 | Mudumalai National Park | 🇮🇳 India | |
| 12 | Gir National Park | 🇮🇳 India | |
| 13 | Jim Corbett National Park | 🇮🇳 India | |
| 14 | Sundarbans National Park | 🇮🇳 India | |
| 15 | Eravikulam National Park | 🇮🇳 India |
| # | City | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Jabalpur | 🇮🇳 India | |
| 2 | Asansol | 🇮🇳 India | |
| 3 | Kalyan-Dombivli | 🇮🇳 India | |
| 4 | Bhubaneshwar | 🇮🇳 India | |
| 5 | Thrissur | 🇮🇳 India | |
| 6 | Vasai-Virar | 🇮🇳 India | |
| 7 | Mumbai | 🇮🇳 India | |
| 8 | Durg | 🇮🇳 India | |
| 9 | Surat | 🇮🇳 India | |
| 10 | Bhopal | 🇮🇳 India |
| # | Zoo / Centre | Country | |
|---|---|---|---|
| 1 | Santa Fe College Teaching Zoo | 🇺🇸 United States |
Rare
Under 5% of wildlife watchers report an Indian Golden Oriole sighting in Chandigarh on a given day, based on 38 verified sightings from GBIF citizen-science data. It is the 85th most-seen of the 161 birds 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.
April–June and August–September
In those months about 10% of wildlife watchers report an Indian Golden Oriole in Chandigarh on a given day, against under 5% in July and October–March, the lowest months. Those are among Chandigarh's wettest months, with about 130 mm of rain a month against 5 mm in November.
Between 3 and 6 am
Across all the parks we cover, that three-hour window holds the most Indian Golden Oriole sightings with a recorded time, and about half of them come between 6 pm and 6 am: it is most active around dawn and dusk.
55th of 65
Of the 65 cities where we can rate Indian Golden Oriole sightings, Chandigarh ranks 55th at under 5%. The best odds are in Jabalpur (India, about 50%), Asansol (India, about 40%) and Kalyan-Dombivli (India, about 40%).
Same order: Passeriformes
The closest relatives of the Indian Golden Oriole that you can see in Chandigarh (order Passeriformes, Perching Birds) are Jungle Babbler (about 70%), House Crow (about 70%) and Black Drongo (about 50%), with each one's daily chance of a sighting.
GBIF citizen-science records
It is estimated from how often the Indian Golden Oriole is recorded against all the birds logged in Chandigarh (38 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.
