Everest Summit Attempts

45,000 individual Everest climbing attempts (1990–2026) with demographics, expedition logistics, oxygen use, weather conditions, and summit outcomes.

Data source: Kaggle

Custom SQL query returning 25 rows (hide)

This data as json, CSV

rowidcolumntypedescription
1 climber_id string Unique climber-attempt id
2 year int Year of the attempt (1990-2026)
3 season string spring / autumn / winter / summer (~86% spring)
4 route string South Col-SE Ridge (Nepal) / North Ridge-NE (Tibet) / other
5 age int Climber age
6 sex string M / F
7 is_hired_staff int 1 if hired high-altitude worker (e.g. Sherpa staff)
8 years_climbing int Years of climbing experience
9 prior_8000m_peaks int Number of 8000m peaks previously summited — the strongest predictor
10 prior_everest_attempts int Previous Everest attempts
11 highest_prev_altitude_m int Highest altitude previously reached (m)
12 operator_tier string budget / mid / premium / independent
13 team_size int Number of climbers in the team
14 sherpa_ratio float Hired high-altitude support per client (0-3)
15 uses_oxygen int 1 if using supplemental oxygen
16 o2_start_altitude_m int Altitude where supplemental O2 begins (0 if none)
17 days_acclimatizing int Days spent acclimatizing before the summit push
18 camps_established int Number of camps established
19 summit_window_days int Length of the usable summit weather window (days)
20 weather_score float Weather quality during the push (0-10, higher = better)
21 jetstream_risk float Jet-stream disruption risk (0-10)
22 queue_minutes_above_8000 int Minutes queuing in the death zone (a post-2012 phenomenon)
23 turnaround_reason string Why they turned back (weather_window_closed, death_zone_crowding, oxygen_exhaustion, exhaustion_altitude_sickness, frostbite, team_decision, illness, other) or summited
24 serious_incident int 1 if a serious incident occurred (frostbite/injury class) — rare (~2%)
25 summited int TARGET: 1 if the climber reached the summit