When the sun comes up, the phones come out. And across the UK, thousands of people are writing the same thing. “Beer garden near me.”
But here’s the interesting thing. Not every city behaves the same way. We’ve analyzed search demand, population and weather data to discover where people are chasing their first pint of the sun. The result is something we call Index of despair in the beer garden.
It tells a very British story.
Manchester tops UK in ‘Despair’ beer garden
Manchester is in first place.
Although it has 141 fewer hours of sunlight per year than London, it has 5.5 times more beer gardens per person.
This isn’t about better weather. It’s about how people react to it.
When sunlight is scarce, people move quickly.
North is looking harder
Glasgow and Edinburgh follow closely behind.
Glasgow, the depressing city in the data set, still generates almost five times more searches per person than London.
Edinburgh shows a slightly more planning behaviour, with more searches for the ‘best’ beer gardens rather than just nearby options.
Together they show a clear pattern.
The less reliable the weather, the stronger the search behavior.
The southern cities (and Midland) make it easier
London and Birmingham sit at the bottom of the table. London generates the highest overall search volume, which is not surprising given its size.
But for each person, it is the lowest. Birmingham shows a similar pattern, with relatively low demand for research relative to its population.
When outdoor drinking is the norm, people need look no further. They already know where to go.
Index of despair in the beer garden
Which British cities are more desperate for a beer garden than the sunshine they actually get? Combining Ahrefs search data with ONS population figures and Met Office Sunshine records.
Data analysis · April 2026
| position | city | Searches per 100k | Annual sun hours | Despair points |
|---|---|---|---|---|
| 1 | Manchester 🥇 | 75.0 | 1,385 | 54.2 |
| 2 | Glasgow 🥈 | 67.7 | 1,280 | 52.9 |
| 3 | Edinburgh 🥉 | 66.3 | 1,449 | 45.8 |
| 4 | Liverpool | 62.0 | 1,390 | 44.6 |
| 5 | Nottingham | 50.0 | 1,487 | 33.6 |
| 6 | Bristol | 42.6 | 1,485 | 28.7 |
| 7 | Birmingham | 15.2 | 1,501 | 10.1 |
| 8 | London | 13.6 | 1,526 | 8.9 |
Despair points = Monthly beer garden searches per 100,000 residents ÷ Annual sunshine hours x 1,000.
Sources: Ahrefs Keywords Explorer (UK, April 2026) · ONS mid-year population estimates · Met Office climate averages 1991-2020.
What does this mean for businesses
These are not ordinary searches.
they:
People are ready to go. As our broader search data shows, most of these search queries include “near me,” which means timing and visibility matter. If your business doesn’t appear at that moment, someone else will.
Great takeaway
Britain doesn’t look for beer gardens because it’s regularly sunny. He’s looking because he’s not. And when that rare warm evening comes, people don’t hesitate. They search, choose, and leave.
If you’d like to chat about how your business can show up in searches like this, don’t hesitate to get in touch.
methodology
This analysis combines search demand, demographic data and weather data to compare behavior across major UK cities.
Search data: Monthly search volumes were obtained from Ahrefs Keywords Explorer (UK database, April 2026). We analyzed variants of primary keywords including “beer garden (city)”, “beer gardens in (city)” and “best beer gardens in (city)”.
Population data: Population figures are taken from the Office for National Statistics and the latest available census estimates for each city.
Weather data: Annual sunshine hours and average temperatures for April were obtained from Met Office summaries through current results (1991-2020 averages).
Scoring method: Searches were calculated per 100,000 people per city. A “desperation score” was created by dividing an individual’s search demand by his or her annual sunshine hours
This provides a simple way to compare how strongly people search compared to the amount of sunlight they typically receive.
Limitations: Search volume data represents estimated averages, not exact numbers. City-level behavior may also be influenced by suburban-level searches that are not included in the dataset.
