Administrative Level
Map Layer
✓ Hazard & Exposure — auto-computed from 77 districts' incident history.
~ Vulnerability — proxy estimate (death rate + remoteness). Enter real survey data in Admin → HRV → District HRV Index to replace estimates.
~ Vulnerability — proxy estimate (death rate + remoteness). Enter real survey data in Admin → HRV → District HRV Index to replace estimates.
Filter by Province
Scoring Methodology
Hazard = frequency(0–5) + severity(0–5)
Vulnerability = avg(infra, social, poverty)
Exposure = % population affected × 2
Risk = Hazard×0.40 + Vuln×0.35 + Exp×0.25
Vulnerability = avg(infra, social, poverty)
Exposure = % population affected × 2
Risk = Hazard×0.40 + Vuln×0.35 + Exp×0.25
Legend
Extreme (≥ 8)
Very High (6–8)
High (4–6)
Medium (2–4)
Low (0–2)
No Data
Top Risk Districts (77 computed)
#1
5.6
Sankhuwasabha
Koshi · 1831 incidents
#2
4.2
Mustang
Gandaki · 546 incidents
#3
3.2
Manang
Gandaki · 200 incidents
#4
3.0
Dolpa
Karnali · 454 incidents
#5
2.9
Kavrepalanchowk
Bagmati · 1206 incidents
#6
2.8
Jumla
Karnali · 415 incidents
#7
2.8
Mugu
Karnali · 273 incidents
#8
2.5
Morang
Koshi · 5702 incidents
#9
2.3
Sindhupalchowk
Bagmati · 1092 incidents
#10
2.3
Jhapa
Koshi · 4783 incidents
⚠ Composite Risk
—
🔥 Hazard —
🏚 Vulnerability—proxy
👥 Exposure —
⚠ Risk Score —
Class —
Incidents —
Affected People —
Composite Risk
Extreme
Very High
High
Medium
Low