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What is one vote worth on November 29? Where turning out, or staying home, can decide a seat

Every vote is worth the same, but not every vote has the same chance of deciding a seat. Using the 50,000 simulations of our forecast, we calculated, province by province, the probability that a handful of votes changes the seat allocation: in Ceuta it is ten times higher than in Madrid. And in 2023, 10.4 million resident voters stayed home.

21 October 2026 · Miguel · Leer en español

On November 29, the 350 seats in Spain’s Congress will be allocated province by province under the D’Hondt rule. That has two consequences that are often confused. First, within a province every vote weighs exactly the same, because what counts is the provincial total, not the polling station or neighborhood where it is cast. Second, from one province to another, the probability that a few votes change a seat varies widely. It depends on how close the last seat is and on how many votes are in play.

We measured that second difference with the 50,000 simulations of the altnalysis forecast. It is one way of seeing the impact of voting, or of not voting.

The index: where a few votes can change a seat

Relative power of one vote to change its province's seat allocationIndex from 0 to 100 (100 = the province where it is highest). Probability, per vote, that the last seat is decided by a minimal margin, from the simulations of the October 21 forecast. Top 20 provinces.

Ceuta100.0
Teruel76.5
Ávila72.1
Segovia66.5
Lleida65.1
Palencia53.3
Huesca49.4
Zamora46.4
Araba/Álava43.1
Soria41.3
Cuenca36.4
Rioja (La)34.0
Girona31.9
Navarra31.5
Gipuzkoa29.8
Tarragona27.4
Cáceres25.1
Castellón/Castelló23.4
Lugo22.6
Pontevedra22.3
#DistrictSeatsIndexLast seat decided by fewer than 1,000 votesOne vote decides it: 1 inContested by
1Ceuta1100.027%4,000PP and Vox
2Teruel376.520%5,000Vox and PP
3Ávila372.119%5,000Vox and PP
4Segovia366.518%5,000PP and Vox
5Lleida465.118%5,000PP and PSOE
6Palencia353.315%7,000PP and Vox
7Huesca349.413%7,000Vox and PP
8Zamora346.413%8,000PP and Vox
9Araba/Álava443.112%8,000EAJ-PNV and PSOE
10Soria241.310%9,000PSOE and PP
11Cuenca336.410%10,000Vox and PP
12Rioja (La)434.010%10,000Vox and PP
13Girona631.99%11,000Vox and PSOE
14Navarra531.59%11,000PSOE and PP
15Gipuzkoa629.89%12,000EH Bildu and EAJ-PNV

In Madrid, with 38 seats, the last one is always decided by a small margin in proportional terms, but that margin is thousands of votes out of four million. In a three-seat province, the last seat can be decided by a few hundred.

Not voting counts too

In the 2023 general election, 10,396,976 voters living in Spain abstained. In the provinces at the top of the table, turnout gaps looked like this:

District2023 abstentionDid not voteMunicipalities with the most abstainers
Ceuta44.3%26,750Ceuta (26,750)
Teruel24.8%25,131Teruel (7,136), Alcañiz (3,115), Andorra (1,710)
Ávila23.4%30,063Ávila (11,130), Arévalo (1,523), Arenas de San Pedro (1,401)
Segovia22.8%26,428Segovia (9,563), Cuéllar (1,731), El Espinar (1,710)
Lleida38.1%113,777Lleida (36,473), Tàrrega (4,518), Balaguer (4,484)
Palencia25.2%32,820Palencia (16,838), Guardo (1,515), Venta de Baños (1,385)
Huesca27.3%45,059Huesca (11,187), Monzón (3,618), Barbastro (3,424)
Zamora27.6%39,234Zamora (14,974), Benavente (4,101), Toro (2,127)

In Ceuta, for example, 26,750 people did not vote in 2023, far more than the margin by which its seat is usually decided. That is the practical meaning of the index: where the last seat is tight, some of those who stayed home turning out can change the result, whoever they vote for.

Huesca: abstention in the 2023 general election, section by section% of resident voters who did not vote. The city of Huesca is in one of the provinces with the most voting power.
2212501001 · 35% · 413 did not vote2212501002 · 38.1% · 341 did not vote2212501003 · 37.2% · 279 did not vote2212502001 · 28.4% · 331 did not vote2212502002 · 28.4% · 406 did not vote2212502003 · 45.9% · 259 did not vote2212502004 · 27.5% · 403 did not vote2212502005 · 27.4% · 355 did not vote2212502006 · 27% · 182 did not vote2212503001 · 33.5% · 310 did not vote2212503002 · 31% · 224 did not vote2212503003 · 21.9% · 302 did not vote2212503004 · 27% · 322 did not vote2212503005 · 25.3% · 377 did not vote2212503006 · 20.4% · 338 did not vote2212503007 · 25.6% · 225 did not vote2212503008 · 23.1% · 457 did not vote2212504001 · 38.8% · 578 did not vote2212504002 · 51.5% · 372 did not vote2212504003 · 45.5% · 430 did not vote2212504004 · 43.6% · 423 did not vote2212505001 · 25.8% · 418 did not vote2212505002 · 24.7% · 345 did not vote2212506001 · 21.3% · 318 did not vote2212506002 · 22.3% · 126 did not vote2212506003 · 23.2% · 202 did not vote2212506004 · 27.4% · 176 did not vote2212507001 · 22.9% · 352 did not vote2212507002 · 26.3% · 464 did not vote2212507003 · 27.8% · 322 did not vote2212507004 · 32.1% · 252 did not vote2212508002 · 28.2% · 335 did not vote2212508003 · 32.8% · 239 did not vote2212508004 · 18.8% · 311 did not vote
< 20%20%–25%25%–30%30%–35%≥ 35%

Abstention is not spread evenly: in the city of Huesca it ranges from 18.8% to 51.5% depending on the section. But the key point stands: a vote cast in a high-abstention section weighs the same as one in a low-abstention section. What changes is how many votes are in play.

What this analysis does not say

How we calculated it