Welcome to Maestro, your go-to tool for postcode analysis and insights! Whether you’re searching for your dream location or exploring data for your business, Maestro makes it simple and intuitive. Let’s get started!
What Can Maestro Do for You?
Explore postcode data, from safety and transport to affordability and more.
Customise your search by selecting the factors that matter most to you.
Use AI to find postcodes that match your lifestyle or business needs.
Download detailed reports for deeper insights.
How to Get Started
Type a postcode sector (e.g., ST20) into the search box at the top left of the page.
Click Search to load the map and data for that area.
Use the map to explore postcode boundaries and discover detailed information about each area.
Customise Your Experience
Make the tool work for you by tailoring your search:
Tick the checkboxes on the left to select desirability factors, such as Safety, Schools, or Green Spaces.
Choose a demographic profile like Young Family or Retiree for pre-selected factors.
Save your preferences to revisit them later.
Discover More with AI
Not sure where to start? Use our AI assistant to describe your needs in plain English. For example, “I’m looking for a safe suburban area with good schools.” Maestro will recommend the best postcodes and factors to explore.
Frequently Asked Questions
What is Maestro?
Maestro is a powerful postcode analysis tool designed to help you explore and understand UK postcode areas. Whether you're searching for a new home, targeting a business audience, or analysing data, Maestro makes it easy to find insights tailored to your needs.
Why are some postcodes missing?
This is usually due to new postcodes being released, which we are unable to cross-match data at ONS "OA (Output Area) Level". In some cases, the data is unavailable because of the OA best-fit model which ties Census 2021 data with postcodes, which is not an exact science.
What are desirability factors?
Desirability factors are criteria that define what makes a postcode area suitable for you. Examples include Safety, Transport, Green Spaces, and Affordability. You can select the factors that matter most to you in the sidebar to personalise your search. Alternatively, use one of the demographic profiles to select pre-determined factors, making it easier and quicker for you.
What do the map colours mean?
The map colours represent how well each postcode matches your selected factors:
Dark Blue: Strong match
Medium Blue: Moderate match
Light Blue: Weak match
How do I report a bug or get help?
Click the Contact link in the footer of the page to access support. You can report bugs, ask questions, or give feedback directly to our team.
Troubleshooting
If you’re experiencing issues with Maestro, this guide will help you identify and resolve common problems. If you don’t find a solution here, feel free to contact our support team.
The map is not loading
Here are some steps to fix this issue:
Check your internet connection and ensure it’s stable.
Make sure you’re using a supported browser: Chrome, Firefox, Edge, or Safari.
Clear your browser cache and refresh the page.
Disable any browser extensions that might block scripts (e.g., ad blockers).
Postcodes are not displaying correctly
If the map loads but postcode boundaries are missing or incorrect:
Verify that you’ve entered the correct postcode sector (e.g., ST20).
Ensure you’ve selected factors or demographic profiles to populate the map.
If the issue persists, try reloading the page or searching for a different postcode sector.
The page is slow or unresponsive
If Maestro is running slowly:
Close other tabs or applications that may be consuming system resources.
Clear your browser cache and reload the page.
Ensure you’re not running an outdated browser version and update if necessary.
Data Quality
An overview of our data sources, update frequency, and how our algorithms and AI work together.
Sources of Information
Our data comes from trusted and publicly available sources, including:
Office for National Statistics (ONS): Census data, population statistics, and socio-economic indicators.
Land Registry: Property prices, sales trends, and ownership details.
Police.uk: Crime data for neighbourhoods and postcode areas.
Local Authorities: Information on schools, transport, and community facilities.
Commercial Partners: Supplementary data on consumer trends, property yields, and economic insights.
Update Frequency
To ensure the data is accurate and current, we update our datasets at the following intervals:
Census Data: Every 10 years (supplemented with mid-term updates).
Property Data: Monthly updates from the Land Registry.
Crime Data: Updated monthly from Police.uk.
Community and School Data: Annually, or as updates are released by local authorities.
How the Algorithm Works
Maestro's proprietary algorithm is designed to aggregate and analyse complex datasets, scoring each postcode based on key desirability factors such as safety, transport, affordability, and more. Here’s how it works:
Each postcode is evaluated across 50+ factors using weighted scoring mechanisms.
Scores are normalised to ensure consistency and comparability between areas.
Demographic presets apply tailored weightings to emphasise the factors most relevant to specific user groups.
Disclaimer
While we strive to ensure the accuracy and reliability of the data provided on Maestro, operated by PostcodeArea and CliqTo Ltd, we cannot guarantee that the information is free from errors, omissions, or inaccuracies. The data is provided for informational purposes only and should not be considered as professional advice or the sole basis for making decisions. Users are strongly advised not to make financial, property, or investment decisions solely based on the information displayed.
PostcodeArea and CliqTo Ltd disclaim all liability for any loss, damage, or inconvenience arising from the use of this tool. If you require specific advice or detailed analysis, we recommend consulting with qualified professionals in their relevant field.
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This postcode has a Desirability Score of , taking into account factors that you have chosen for your demographic profile. Scroll down for a breakdown of statistics.
In order to produce this analysis and statistics, a number of factors were used relating to the selected demographic, including:
Property
Community
Schools/Work
Lifestyle
Transport
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