Axis Deer

Axis Deer

Axis axis

Least ConcernNear ThreatenedVulnerableEndangeredCritically Endangered Endemic
Insufficient data
overall probability at Blue Mountains National Park
1 Verified records at Blue Mountains National Park
☀️ Diurnal When it's active during daytime hours (6am–6pm)

The chital (Axis axis; ), also called spotted deer and axis deer, is a deer species native to the Indian subcontinent. It was first described by Johann Christian Polycarp Erxleben in 1777. A moderate-sized deer, male chital reach 90 cm (35 in) and females 70 cm (28 in) at the shoulder. While males weigh 70–90 kg (150–200 lb), females weigh around 40–60 kg (88–132 lb). It is sexually dimorphic; males are larger than females, and antlers are present only on males. The upper parts are golden to rufous, completely covered in white spots. Wikipedia →

Closest Relatives at Blue Mountains National Park

📅 Monthly Probability

📊

Fewer than 5 records of Axis Deer at Blue Mountains National Park — not enough to chart months honestly.

☀️ When They're Spotted

Most active during daytime hours (6am–6pm) · across all parks (global)

☀️Diurnal
☀️🌙🌙12am6am12pm6pm12am

Global Distribution

Where this species is recorded worldwide. Restricted to human observations from 2019 onwards — the same kind of record and the same period the probabilities on this page are built from, so collar-tracking studies, camera-trap arrays and museum specimens are excluded. Around Santa Rosa that removes 5,924 GPS fixes from a handful of tagged jaguars.

where this species is recorded (GBIF density — it tracks where observers go, not how likely a sighting is)  ·  parks where it occurs — tap a pin for the sighting probability there

Parks Where Found

# Park Country Probability
1 Wilpattu National Park 🇱🇰 Sri Lanka
80–90%
2 Ranthambore National Park 🇮🇳 India
80–90%
3 Mudumalai National Park 🇮🇳 India
80–90%
4 Yala National Park 🇱🇰 Sri Lanka
80–90%
5 Chitwan National Park 🇳🇵 Nepal
70–80%
6 Nagarhole National Park 🇮🇳 India
70–80%
7 Bandipur National Park 🇮🇳 India
70–80%
8 Keoladeo National Park 🇮🇳 India
70–80%
9 Kanha National Park 🇮🇳 India
70–80%
10 Bandhavgarh National Park 🇮🇳 India
70–80%
11 Sundarbans National Park 🇮🇳 India
60–70%
12 Jim Corbett National Park 🇮🇳 India
60–70%
13 Royal Bardia National Park 🇳🇵 Nepal
60–70%
14 El Palmar National Park 🇦🇷 Argentina
40–50%
15 Satpura National Park 🇮🇳 India
40–50%
16 Minneriya National Park 🇱🇰 Sri Lanka
20–30%
17 Iberá National Park 🇦🇷 Argentina
10–20%
18 Periyar National Park 🇮🇳 India
Insufficient data
19 Langtang National Park 🇳🇵 Nepal
Insufficient data
20 Blue Mountains National Park 🇦🇺 Australia
Insufficient data
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