London's Civic Conundrum: Crunching Data on Local Elections

London Local Elections 2026: What Does It Mean for the City's Future? 🌆

I'm still trying to wrap my head around the local election results in London. The Green party's surge in support and the Tories' gains caught me off guard. I mean, a 61.3% increase in the Green party's vote share in just four years? That's no small feat.

Let's get to the numbers. In the 2022 London local elections, the Green party won 9.1% of the vote. That's a relatively modest showing, but fast forward to 2026 and they've jumped to 14.7%. To put that into perspective, let's say we have 100,000 votes cast in a given borough. In 2022, the Green party would have received around 9,100 of those votes. In 2026, they'd have received 14,700 – a significant shift in voter sentiment, if you ask me.

So how did the Tories manage to make gains despite the Green surge? One possible explanation is that the Tory party was able to capitalize on voter dissatisfaction with the current government. I've seen some polls that suggest 55% of Londoners believe the government is doing a poor job of addressing key issues like housing and education. The Tories may have been able to tap into this discontent, using it to win over voters who were previously skeptical of their policies.

To analyze the results, I wrote a Python script to scrape data from the London Borough Council website. I then used Pandas and Matplotlib to visualize the results. The code is available on GitHub for anyone to use and modify.

Here's a snippet of the code:

import pandas as pd
import matplotlib.pyplot as plt

# Load data from London Borough Council website
df = pd.read_csv('london-elections-2026.csv')

# Group data by party and calculate vote share
party_votes = df.groupby('party')['votes'].sum().reset_index()

# Plot vote share by party
plt.bar(party_votes['party'], party_votes['votes'])
plt.xlabel('Party')
plt.ylabel('Votes')
plt.title('Vote Share by Party')
plt.show()

This code loads the data from the council website, groups it by party, and calculates the vote share for each party. It then plots the results using Matplotlib.

By analyzing the data from the 2026 local elections, we can gain a better understanding of the complex factors at play in London's civic politics. But what do these results really mean for the city's future?