🏔️ Nepal 2082 Election Forecast

275-Seat Parliamentary Projection
Based on 10,000 simulations | Updated March 03, 2026 (Updated CI)
RSP projected to win 87 seats (95% CI: 66–120). 68% probability of being largest party. No party projected to reach 138-seat majority.

Parliament Composition

Visual representation of 275 projected seats • See detailed breakdown below

RSP
NC
UML
MAOIST
JSP
RPP
JP
NMKP

Seat Projections

Mean seats (out of 275) with 95% confidence intervals

PR Seats
FPTP Seats
138 majority
RSP
PR: 31
FPTP: 56
87
[66–120]
NC
PR: 24
FPTP: 52
76
[62–88]
UML
PR: 24
FPTP: 35
59
[46–73]
MAOIST
PR: 16
FPTP: 9
25
[19–32]
JSP
PR: 8
FPTP: 6
14
[10–18]
RPP
PR: 8 / FPTP: 0
8
[5–13]
JP
PR: 0 / FPTP: 5
5
[3–9]
NMKP
PR: 0 / FPTP: 1
1
[1–1]

PR Vote Share Distribution

Proportional representation national vote share

RSP
26.5%
[20.3–44.9]%
NC
20.6%
[17.4–25.7]%
UML
20.5%
[17.2–27.1]%
MAOIST
14.1%
[10.6–23.7]%
JSP
6.9%
[4.0–10.9]%
RPP
6.6%
[3.3–14.1]%

Key Probabilities

27%
RSP PR Vote Share
68%
RSP Largest Party
31%
NC Largest Party
100%
Top Coalition Probability

Coalition Scenarios

2- and 3-party combinations ranked by combined mean seats. Bar width = projected seats (same scale as above). % = probability of clearing 138-seat majority (simulation-backed where available, otherwise mean-seat proxy).

138 majority
NC + RSP
NC: 76
RSP: 87
163 seats
P(≥138 seats)
99.9%
UML + RSP
UML: 59
RSP: 87
146 seats
P(≥138 seats)
81.3%
RSP + MAOIST
RSP: 87
MAOIST: 25
112 seats
P(≥138 seats)
4.3%
SINGLE + PARTY + MAJORITY
0 seats
P(≥138 seats)
0.2%
UML + RPP
UML: 59
67 seats
P(≥138 seats)
0.0%
NC + MAOIST
NC: 76
MAOIST: 25
101 seats
P(≥138 seats)
0.0%

FPTP Constituency Forecast

All 165 First-Past-The-Post constituencies. Seat counts show simulation mean FPTP seats.

UML
35
21.2%
NC
52
31.5%
RSP
56
33.9%
MAOIST
9
5.5%
JSP
6
3.6%
JP
5
3.0%
NMKP
1
0.6%

Understanding Win Probabilities: The win probability shows how often each party wins the seat across simulations. In competitive 3-way or 4-way races, the most likely winner may have less than 50% probability - this is normal for FPTP (first-past-the-post) voting where you only need more votes than any other party, not a majority. Example: If UML wins 40% of simulations, NC wins 35%, and RSP wins 25%, UML is the "likely winner" even though they win less than half the time.

Constituency Likely Winner (Proj. Vote Share) Win Probability Runner-Ups (Proj. Vote Share)
Achham-1 NC 29.2%
89%
UML: 25.8% | MAOIST: 18.4%
Achham-2 NC 31.9%
93%
UML: 27.7% | MAOIST: 15.9%
Arghakhanchi-1 UML 32.4%
99%
NC: 27.1% | RSP: 22.8%
Baglung-1 RSP 28.3%
56%
NC: 27.3% | UML: 23.6%
Baglung-2 NC 27.8%
85%
UML: 24.3% | RSP: 20.3%
Baitadi-1 UML 29.7%
66%
NC: 28.7% | MAOIST: 16.9%
Bajhang-1 UML 28.3%
59%
NC: 27.6% | MAOIST: 16.2%
Bajura-1 NC 36.8%
96%
UML: 31.7% | RSP: 12.0%
Banke-1 RSP 28.0%
90%
UML: 21.6% | NC: 21.0%
Banke-2 JSP 29.9%
100%
RSP: 19.1% | RPP: 18.4%
Banke-3 NC 26.0%
61%
RSP: 24.4% | UML: 22.4%
Bara-1 NC 26.8%
82%
UML: 22.3% | RSP: 21.2%
Bara-2 JSP 25.8%
81%
NC: 21.8% | JP: 18.2%
Bara-3 RSP 24.1%
48% (Competitive)
JSP: 23.0% | UML: 21.9%
Bara-4 RSP 28.6%
76%
UML: 26.6% | MAOIST: 15.7%
Bardiya-1 RSP 27.7%
84%
UML: 23.1% | NC: 21.5%
Bardiya-2 NC 23.8%
50%
MAOIST: 22.2% | RSP: 21.6%
Bhaktapur-1 NMKP 42.6%
100%
RSP: 26.1% | NC: 12.1%
Bhaktapur-2 RSP 30.0%
98%
UML: 21.2% | NC: 20.5%
Bhojpur-1 UML 32.4%
100%
NC: 24.6% | MAOIST: 21.5%
Chitwan-1 RSP 35.1%
100%
UML: 24.6% | NC: 20.4%
Chitwan-2 RSP 36.3%
100%
UML: 23.1% | NC: 19.4%
Chitwan-3 RSP 34.0%
100%
MAOIST: 18.5% | RPP: 18.4%
Dadeldhura-1 NC 37.9%
100%
RSP: 19.5% | MAOIST: 18.7%
Dailekh-1 NC 31.1%
79%
UML: 28.8% | RSP: 15.2%
Dailekh-2 NC 28.0%
55%
UML: 27.6% | MAOIST: 16.2%
Dang-1 RSP 29.3%
96%
UML: 21.3% | NC: 20.6%
Dang-2 RSP 28.9%
90%
UML: 23.2% | NC: 22.2%
Dang-3 RSP 28.9%
83%
NC: 24.5% | UML: 22.1%
Darchula-1 UML 32.2%
76%
NC: 30.6% | MAOIST: 16.1%
Dhading-1 RSP 25.6%
63%
UML: 24.3% | NC: 19.6%
Dhading-2 NC 26.4%
86%
RSP: 22.1% | UML: 19.9%
Dhankuta-1 UML 36.6%
100%
NC: 26.5% | RSP: 17.4%
Dhanusha-1 NC 21.8%
30% (Competitive)
UML: 21.0% | JP: 20.7%
Dhanusha-2 JSP 21.7%
33% (Competitive)
NC: 21.6% | UML: 21.5%
Dhanusha-3 NC 36.7%
100%
UML: 24.7% | JP: 14.2%
Dhanusha-4 NC 27.9%
65%
UML: 26.8% | RSP: 17.6%
Dolakha-1 UML 26.8%
50% (Competitive)
NC: 26.6% | RSP: 20.6%
Dolpa-1 UML 27.4%
90%
MAOIST: 24.1% | NC: 19.6%
Doti-1 NC 31.4%
86%
UML: 28.4% | MAOIST: 15.0%
Gorkha-1 MAOIST 25.7%
52%
RSP: 25.3% | NC: 22.3%
Gorkha-2 MAOIST 30.8%
79%
RSP: 29.0% | NC: 21.3%
Gulmi-1 UML 28.3%
66%
NC: 26.8% | RSP: 24.3%
Gulmi-2 UML 32.8%
99%
NC: 28.0% | RSP: 19.8%
Humla-1 NC 29.0%
76%
MAOIST: 26.8% | UML: 20.9%
Ilam-1 UML 27.0%
74%
NC: 25.0% | RSP: 21.2%
Ilam-2 UML 29.3%
66%
NC: 28.2% | RSP: 20.7%
Jajarkot-1 NC 30.8%
98%
UML: 24.9% | MAOIST: 22.1%
Jhapa-1 RSP 29.1%
75%
NC: 26.1% | UML: 21.8%
Jhapa-2 RSP 32.8%
98%
UML: 24.6% | NC: 18.5%
Jhapa-3 NC 25.4%
73%
RSP: 22.7% | RPP: 20.5%
Jhapa-4 RSP 31.1%
98%
UML: 24.0% | NC: 21.1%
Jhapa-5 RSP 31.4%
59%
UML: 30.9% | NC: 17.8%
Jumla-1 NC 23.7%
54%
UML: 21.8% | MAOIST: 21.8%
Kailali-1 NC 29.1%
98%
MAOIST: 21.9% | RSP: 20.4%
Kailali-2 UML 24.4%
47% (Competitive)
RSP: 23.8% | NC: 22.6%
Kailali-3 RSP 24.6%
54%
NC: 23.2% | MAOIST: 21.1%
Kailali-4 UML 25.4%
42% (Competitive)
NC: 25.2% | RSP: 22.8%
Kailali-5 NC 25.5%
69%
RSP: 22.8% | UML: 21.8%
Kalikot-1 MAOIST 28.4%
90%
UML: 23.6% | NC: 22.8%
Kanchanpur-1 UML 25.1%
58%
NC: 23.9% | RSP: 21.6%
Kanchanpur-2 NC 26.4%
71%
RSP: 23.7% | UML: 22.1%
Kanchanpur-3 NC 35.2%
100%
RSP: 21.9% | UML: 19.6%
Kapilvastu-1 UML 26.5%
55%
RSP: 25.3% | NC: 24.1%
Kapilvastu-2 NC 30.8%
90%
UML: 27.2% | RSP: 18.9%
Kapilvastu-3 UML 25.6%
94%
RPP: 20.0% | NC: 18.6%
Kaski-1 RSP 32.7%
99%
UML: 24.1% | NC: 21.6%
Kaski-2 RSP 32.9%
99%
UML: 22.3% | NC: 20.5%
Kaski-3 RSP 32.3%
98%
UML: 23.7% | NC: 22.5%
Kathmandu-1 RSP 32.2%
98%
NC: 24.1% | RPP: 19.1%
Kathmandu-10 RSP 32.7%
100%
NC: 20.7% | UML: 17.5%
Kathmandu-2 RSP 33.5%
99%
RPP: 21.6% | UML: 17.4%
Kathmandu-3 RSP 32.4%
99%
NC: 23.2% | UML: 19.5%
Kathmandu-4 RSP 31.5%
98%
NC: 22.7% | UML: 19.2%
Kathmandu-5 RSP 33.0%
100%
NC: 20.9% | UML: 18.7%
Kathmandu-6 RSP 34.4%
100%
NC: 21.2% | UML: 20.1%
Kathmandu-7 RSP 36.6%
100%
UML: 18.5% | NC: 17.3%
Kathmandu-8 RSP 35.2%
100%
NC: 19.9% | RPP: 19.7%
Kathmandu-9 RSP 33.5%
100%
UML: 19.8% | NC: 19.4%
Kavrepalanchok-1 RSP 25.4%
64%
NC: 22.6% | UML: 22.2%
Kavrepalanchok-2 RSP 28.9%
81%
UML: 25.6% | NC: 23.0%
Khotang-1 UML 29.8%
92%
NC: 26.6% | MAOIST: 19.2%
Lalitpur-1 RSP 26.3%
51%
NC: 25.7% | UML: 22.5%
Lalitpur-2 RSP 33.5%
100%
UML: 19.6% | NC: 19.0%
Lalitpur-3 RSP 33.9%
100%
UML: 19.0% | RPP: 16.7%
Lamjung-1 NC 27.2%
45% (Competitive)
UML: 26.9% | RSP: 23.7%
Mahottari-1 RSP 26.1%
55%
MAOIST: 25.2% | UML: 19.3%
Mahottari-2 NC 27.8%
94%
JP: 22.2% | JSP: 18.1%
Mahottari-3 JSP 29.4%
99%
JP: 21.1% | NC: 20.1%
Mahottari-4 JSP 23.4%
61%
JP: 19.9% | NC: 19.7%
Makwanpur-1 RSP 31.0%
100%
UML: 20.0% | NC: 16.6%
Makwanpur-2 RSP 26.4%
57%
UML: 25.4% | NC: 22.7%
Manang-1 NC 35.8%
98%
UML: 29.8% | RSP: 15.5%
Morang-1 RSP 27.4%
63%
UML: 26.0% | NC: 22.4%
Morang-2 UML 26.9%
55%
NC: 25.9% | RSP: 23.4%
Morang-3 RSP 28.4%
66%
NC: 26.3% | UML: 21.1%
Morang-4 RSP 24.5%
48% (Competitive)
NC: 24.1% | UML: 21.0%
Morang-5 NC 37.0%
100%
JSP: 20.2% | RSP: 15.0%
Morang-6 RSP 27.3%
73%
NC: 24.5% | UML: 19.4%
Mugu-1 NC 27.8%
77%
UML: 25.8% | MAOIST: 18.8%
Mustang-1 UML 34.3%
99%
NC: 29.1% | RSP: 14.8%
Myagdi-1 UML 28.6%
93%
NC: 25.0% | RSP: 20.2%
Nawalparasi (Bardaghat Susta East)-1 RSP 32.2%
98%
NC: 24.3% | UML: 21.5%
Nawalparasi (Bardaghat Susta East)-2 RSP 28.0%
61%
NC: 25.7% | UML: 25.4%
Nawalparasi (Bardaghat Susta West)-1 NC 27.8%
51%
RSP: 27.9% | UML: 19.8%
Nawalparasi (Bardaghat Susta West)-2 RSP 28.3%
89%
RPP: 21.9% | NC: 20.1%
Nuwakot-1 RSP 22.8%
38% (Competitive)
NC: 22.4% | MAOIST: 22.1%
Nuwakot-2 RSP 28.3%
77%
NC: 25.5% | UML: 18.9%
Okhaldhunga-1 NC 29.9%
74%
UML: 28.1% | RSP: 16.9%
Palpa-1 UML 40.0%
100%
NC: 30.1% | RSP: 18.7%
Palpa-2 RSP 26.2%
43% (Competitive)
NC: 25.6% | UML: 25.3%
Panchthar-1 UML 31.1%
98%
NC: 26.1% | MAOIST: 18.8%
Parsa-1 JSP 24.7%
69%
NC: 20.8% | RPP: 19.3%
Parsa-2 NC 34.1%
100%
JSP: 23.6% | RSP: 15.1%
Parsa-3 NC 29.7%
95%
UML: 24.5% | RSP: 16.6%
Parsa-4 NC 32.9%
100%
UML: 22.4% | JSP: 19.8%
Parvat-1 UML 28.1%
65%
RSP: 26.9% | NC: 24.5%
Pyuthan-1 UML 36.2%
100%
NC: 22.6% | RSP: 18.8%
Ramechhap-1 UML 24.6%
44% (Competitive)
NC: 24.1% | MAOIST: 22.3%
Rasuwa-1 NC 40.5%
100%
UML: 23.3% | RSP: 16.8%
Rautahat-1 NC 32.4%
100%
CPN(US): 20.4% | UML: 18.7%
Rautahat-2 NC 25.8%
88%
JSP: 20.5% | UML: 19.8%
Rautahat-3 NC 31.5%
100%
JSP: 18.9% | CPN(US): 16.9%
Rautahat-4 RSP 24.8%
66%
NC: 21.8% | CPN(US): 18.5%
Rolpa-1 MAOIST 41.4%
100%
NC: 24.3% | UML: 17.7%
Rukum East-1 MAOIST 36.7%
100%
NC: 27.4% | UML: 17.3%
Rukum West-1 MAOIST 51.6%
100%
NC: 16.4% | UML: 14.8%
Rupandehi-1 RSP 31.9%
99%
NC: 22.6% | UML: 18.1%
Rupandehi-2 RSP 33.2%
99%
UML: 24.5% | NC: 19.4%
Rupandehi-3 RSP 30.2%
97%
NC: 22.9% | UML: 18.6%
Rupandehi-4 NC 33.0%
94%
JP: 27.9% | RSP: 16.9%
Rupandehi-5 RSP 25.7%
64%
NC: 23.0% | UML: 22.3%
Salyan-1 MAOIST 23.6%
46% (Competitive)
NC: 22.3% | UML: 21.9%
Sankhuwasabha-1 UML 28.9%
52%
NC: 28.8% | RSP: 17.3%
Saptari-1 JP 30.3%
100%
JSP: 20.8% | UML: 18.9%
Saptari-2 JP 49.2%
100%
JSP: 25.9% | MAOIST: 10.5%
Saptari-3 NC 26.6%
65%
JP: 25.3% | JSP: 19.8%
Saptari-4 JP 25.2%
66%
JSP: 23.5% | NC: 19.7%
Sarlahi-1 RSP 29.3%
95%
MAOIST: 20.2% | JSP: 17.4%
Sarlahi-2 NC 25.1%
78%
JP: 21.1% | MAOIST: 20.6%
Sarlahi-3 RSP 24.8%
68%
MAOIST: 21.1% | JSP: 19.8%
Sarlahi-4 NC 26.6%
90%
JP: 21.4% | MAOIST: 19.4%
Sindhuli-1 UML 26.8%
70%
NC: 25.3% | RSP: 19.9%
Sindhuli-2 MAOIST 24.4%
49% (Competitive)
UML: 23.5% | NC: 21.5%
Sindhupalchok-1 UML 25.0%
66%
NC: 22.8% | RSP: 21.4%
Sindhupalchok-2 UML 23.6%
43% (Competitive)
NC: 23.3% | RSP: 20.7%
Siraha-1 NC 24.6%
67%
UML: 22.3% | JSP: 20.3%
Siraha-2 JP 23.8%
62%
JSP: 21.3% | NC: 20.0%
Siraha-3 NC 24.5%
68%
UML: 21.8% | JSP: 18.5%
Siraha-4 JP 27.4%
92%
JSP: 22.6% | UML: 17.4%
Solukhumbu-1 UML 32.7%
100%
NC: 25.6% | MAOIST: 21.4%
Sunsari-1 RSP 33.2%
100%
UML: 21.7% | NC: 16.7%
Sunsari-2 RSP 31.2%
98%
UML: 22.4% | NC: 21.5%
Sunsari-3 UML 28.4%
50% (Competitive)
NC: 28.2% | RSP: 22.0%
Sunsari-4 NC 32.8%
100%
UML: 23.0% | RSP: 19.9%
Surkhet-1 NC 33.6%
98%
UML: 27.6% | RSP: 16.6%
Surkhet-2 NC 25.7%
50%
UML: 25.0% | RSP: 22.4%
Syangja-1 RSP 27.6%
47% (Competitive)
NC: 27.2% | UML: 25.1%
Syangja-2 NC 29.8%
72%
RSP: 27.3% | UML: 24.4%
Tanahun-1 RSP 30.2%
90%
NC: 25.1% | UML: 20.0%
Tanahun-2 RSP 27.4%
53%
NC: 26.4% | UML: 24.4%
Taplejung-1 UML 32.6%
86%
NC: 30.2% | MAOIST: 14.3%
Terhathum-1 UML 30.5%
66%
NC: 29.5% | RSP: 18.7%
Udayapur-1 UML 25.2%
47% (Competitive)
RSP: 24.2% | NC: 23.8%
Udayapur-2 UML 25.8%
73%
NC: 22.9% | RSP: 22.8%

Note: Win probability is the percentage of simulations where the party won this constituency. Competitive races (<70%) are where the outcome is most uncertain.