Apus nipalensis
Silhouette: Ferran Sayol · PhyloPic
In 3 days ~90% in a week >90%
The house swift (Apus nipalensis) is a species of swift in the family Apodidae. It is found in Japan, Nepal, and Southeast Asia. It is capable of flying long distances by alternately shutting off hemispheres of its brain in-flight.
It was formerly considered a subspecies of the little swift, under the name Apus affinis subfurcatus. The house swift looks quite similar to the little swift. It is a small bird, but a medium-sized swift, with a wingspan of 12.5-14.5 cm. Its body size ranges from 14 to 16 cm and weighs approximately 20-35 g. This species has a dark, slightly forked tail. Other than the white rump band and white throat-patch, the house swift has a black plumage, darker than the little swift.
The name Apus nipalensis has two parts. Apus is the genus for swifts, and comes from the Latin word for the swift, or swallow with no feet. Nipalensis means from Nepal. Currently, there are four subspecies of the house swift: Apus nipalensis nipalensis, Apus nipalensis subfurcatus, Apus nipalensis furcatus, and Apus nipalensis kuntzi.
The house swift is highly aerial, spending much of its time feeding in the air. The house... Wikipedia →
| # | Park | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Khao Yai National Park | 🇹🇭 Thailand | |
| 2 | Taroko National Park | 🇹🇼 Taiwan | |
| 3 | Bali Barat National Park | 🇮🇩 Indonesia | |
| 4 | Taman Negara National Park | 🇲🇾 Malaysia | |
| 5 | Doi Inthanon National Park | 🇹🇭 Thailand | |
| 6 | Royal Bardia National Park | 🇳🇵 Nepal | |
| 7 | Chitwan National Park | 🇳🇵 Nepal | |
| 8 | Bako National Park | 🇲🇾 Malaysia | |
| 9 | Kaziranga National Park | 🇮🇳 India | |
| 10 | Langtang National Park | 🇳🇵 Nepal | |
| 11 | Jiuzhaigou National Park | 🇨🇳 China | |
| 12 | Khao Sok National Park | 🇹🇭 Thailand | |
| 13 | Tangkoko Nature Reserve | 🇮🇩 Indonesia | |
| 14 | Way Kambas National Park | 🇮🇩 Indonesia | |
| 15 | Sepilok | 🇲🇾 Malaysia | |
| 16 | Kinabalu Park | 🇲🇾 Malaysia | |
| 17 | Cat Tien National Park | 🇻🇳 Vietnam | |
| 18 | Danum Valley Conservation Area | 🇲🇾 Malaysia | |
| 19 | Kaeng Krachan National Park | 🇹🇭 Thailand | |
| 20 | Manas National Park | 🇮🇳 India | |
| 21 | Kinabatangan Wildlife Sanctuary | 🇲🇾 Malaysia | |
| 22 | Kerinci Seblat National Park | 🇮🇩 Indonesia | |
| 23 | Royal Manas National Park | 🇧🇹 Bhutan |
| # | City | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Zhuhai [Macau] | 🇨🇳 China | |
| 2 | Dhaka | 🇧🇩 Bangladesh | |
| 3 | Taichung | 🇹🇼 Taiwan | |
| 4 | Yogyakarta | 🇮🇩 Indonesia | |
| 5 | Xiamen City | 🇨🇳 China | |
| 6 | Xiuying District | 🇨🇳 China | |
| 7 | Jakarta | 🇮🇩 Indonesia | |
| 8 | Savar | 🇧🇩 Bangladesh | |
| 9 | Bangkok | 🇹🇭 Thailand | |
| 10 | Quanzhou | 🇨🇳 China |
No species of the same family or order lives in Zhuhai [Macau], so these are its closest relatives here: other birds.
Likely
About 50% of wildlife watchers report a House Swift sighting in Zhuhai [Macau] on a given day, based on 61 verified sightings from GBIF citizen-science data. It is the 9th most-seen of the 48 birds we can rate there. Over three days the chance rises to about 90%, and over a week to over 90%, if each day is a fresh chance.
May
In that month about 70% of wildlife watchers report a House Swift in Zhuhai [Macau] on a given day, against about 40% in August and December–February, the lowest months. That is one of Zhuhai [Macau]'s wettest months, with about 230 mm of rain against 20 mm in December.
Between 9 am and noon
Across all the parks we cover, that three-hour window holds the most House Swift sightings with a recorded time, and about 6 in 10 of them come between 6 am and 6 pm: it is most active around dawn and dusk.
Yes
Of the 44 cities where we can rate House Swift sightings, Zhuhai [Macau] has the highest daily chance: about 50%. Next come Dhaka (Bangladesh, about 50%) and Taichung (Taiwan, about 40%).
GBIF citizen-science records
It is estimated from how often the House Swift is recorded against all the birds logged in Zhuhai [Macau] (61 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.
