The building risk assessment is based on the combination of the condition and occupancy scores according to a standardised methodology. Whilst this is a long-established system, it can have limitations. In some cases it is recommended, therefore, that when considering any building, both the risk assessment and the HAA score are taken into account. A new HAA-based methodology for calculating the overall risk assessment is currently being developed, an initial value for this this is shown in the HAA assessment section.

Risk Assessment methodology:

HAA Score

The HAA score is calculated by combining a condition score of between 1 and 4, with 4 being good and 1 being very bad, for the main elements for which data is collected in the survey. The scores for each of the individual elements are combined with weighting factors, which reflect the importance of the element in the overall stability of the building. A measure of the occupancy of the building is also included in the assessment. From the weighted scores via the application of a non-linear algorithm the HAA score is calculated. The score has a maximum of 100 (no action required) and a minimum of 0.

Main Features:

More detailed survey

Information is gathered about the condition of each of the main building elements. This allows defects to be pinpointed and trends for types of buildings or areas to be seen.

Building material analysis

Different building materials behave in different ways. This assessment highlights this and can be used to predict rates of decay or to target early action.

Weighted scoring system

The effect on the overall condition of a building of defects in some elements is more important than others. Weighting takes account of this.

Non-linear scoring

As the condition of a building or its elements deteriorates the rate of further deterioration will tend to increase. The assessment allows for this.

Creates stock profile

Stock profiling gives a snapshot view of the issues the stock faces. Comparative analysis can point the way to the most effective action.

Potential Decline Without Action

By combining data from over 60,000 previous surveys a range of change prediction models have been developed to help to highlight buildings which may see a change without action. The models are updated as new surveys are added to the system. In addition, the model parameters are always under review. As more data is added to the system the models will improve in accuracy. At present, the models make predications based on an inverse weighted average, taking into account the change patterns for data at the following levels: local planning authority, community, broad building type, detailed building type, list grade, HAA score & building site morphology. The predicted change values have been grouped into three segments: low, average and elevated.

Model Interpretation

Chance of significant decline

This model give a prediction of the chance of significant decline of the HAA score per year, during the next 3 to 5 years, without any action (such as regular maintenance or major works) being carried out.

Predicted HAA Score reduction per year

This model gives a feel for the potential scale of any decline, during a single year, should it occur.

Combination of the first two models can give a feel for the fragility of a building.

The HAA score for the building is compared with the average HAA score for a number of groups. The first column in the table is a percentage difference between the HAA score for the building and the average HAA score for the group, a possible figure shows that the building has a higher HAA score than the group average. The second column in the table gives the building rank and group total, the figure in brackets shows the location of the building in the ranked list (e.g. 0.5 – in middle of group, 0.99 – at top of group), the final column gives a graphical representation of the rank assessment. The bar is red, if the building has a lower HAA score than average, and it is green, if the building has a higher HAA score than average. The length of the bar represents the proportionate value.

Whilst the risk assessment and HAA score give good measures as to the current status and likely change profile for a building, there are a range of other facilities which are taken into account in assessing the potential for action for any particular building. To allow the generation of prioritised action lists for all or groups of buildings, an assessment technique has been developed to take account of these additional criteria.

The PAS assessment gives a score between 0 and 100 (100 – highest priority for action) for each building, based on the following measures: list grade, risk score, local factors (data provided by local conservation officers), the change in decline, the rate of decline, HAA score and cluster HAA (a measure of the general status of the buildings close to that under consideration). A weighting factor is applied to each of the measures to arrive at the overall PAS value.

At present, a range of general weighting factors have been applied to the data to give an illustration of the system. Over time the weighting factor values will be updated to reflect the general national view.

PAS lists can be produced for a range of groups via the group search facility on the main search page.

PAS Tables

The first table gives the building score for each of the measures used to calculate the PAS value, together with the weighting factors applied to all buildings.

The second table gives rankings (building/group), proportionate values and a graphical representation for a range of groups in which the building is located.

Summary information is provided for the current and all previous surveys for the building. If no comparable previous surveys are available, then the current survey information only is shown.

Use this option to find a building. Given the wide variation in the way in which listed buildings are named, it is best to provide the minimum information required to identify the building. A list of matches will be provided. The search can include the Cadw reference number, the building name, the local authority name, the community and the use types.

This option can be used to define a group of buildings by adding up to five filters. Each filter type can only be selected once and the group will contain those buildings which match all of the filters. The first box has a range of filter types which can be selected and the second has applicable values for the selected filter.

It is possible to start the filtering process from any filter option, but to assist selection it is best to start with the planning authority or community (if either are to be included in the group definition), as this limits the options in the later boxes. For users with restricted access (e.g. local authority level access), the list of possible filters will be limited to reflect the available access.

Over time typical status profiles have been identified for a range of HAA score bands. By allocating each of the individual building score to one of these bands it is is possible to build up a profile for each group. The band status descriptions are generalised and may not always be entirely applicable to each building type. They do however help to give a feel for the issues faced by a building and group of buildings. As more data is added to the system the band descriptions will be expanded to allow for the building use type in addition to the HAA score.

By combining data from over 60,000 previous surveys a range of change prediction models have been developed to help to highlight buildings which may see a change without action. The models are updated as new surveys are added to the system. In addition, the model parameters are always under review. As more data is added to the system the models will improve in accuracy. At present, the models make predications based on an inverse weighted average, taking into account the change patterns for data at the following levels: local planning authority, community, broad building type, detailed building type, list grade, HAA score & building site morphology. The predicted change values have been grouped into three segments: low, average and elevated. In must be remembered that while the models give an assessment based on all of the available information individual circumstances may mean that a building changes outside of the range of the predictions made.

Decline Chance Profile

The decline chance assessment of each building is allocated to a low, average or elevated band. The table shows the group band totals. The assessment is based the change of decline without action given the condition of the building at the time of the survey.

Decline Rate Profile

The decline rate assessment of each building is allocated to a low, average or elevated band. The table shows the group band totals. The assessment is based the likely rate decline without action given the condition of the building at the time of the survey.

The NTMI is a measure of the presence of not traditional materials (e.g. plastic windows or doors, concrete roof tiles, concrete blockwork porches) present in a building. The NTMI Positive score represents the total number of buildings in the group having at least one element formed from a non-traditional element. The NTMI negative score represents the total number of buildings in the group in which no significant use of non-traditional materials were seen.

This measure should be treated with a little caution as given the scope of the inspection carried out some non-traditional materials may not have been seen. Additionally, in some cases buildings have been listed with non-traditional materials in place. The table should be used to give an overall impression of the scale of use of non-traditional materials.

Risk assessments are given for each applicable list grade group. If there are no buildings having a particular list grade in the group then that category will not be shown.

Each building is allocated to a particular morphology group based on its Lower Super Output Area. This data is useful in assessing the different issues and risk levels in urban, village and isolated building groups.

A condition score (1 – Very Bad (Full Renewal), 2 – Poor (Major Repairs), 3 – Fair (Minor Repairs), 4 – Good (No Action) is given to the main building elements as part of each inspection. These are aggregated to provide an overall defects table for the group. (Note: bridge parapets are included in the Roof & Upper Parts parapet item)

The HAA score is calculated by combining a condition score of between 1 and 4, with 4 being good and 1 being very bad, for the main elements for which data is collected in the survey. The scores for each of the individual elements are combined with weighting factors, which reflect the importance of the element in the overall stability of the building. A measure of the occupancy of the building is also included in the assessment. From the weighted scores via the application of a non-linear algorithm the HAA score is calculated. The score has a maximum of 100 (no action required) and a minimum of 0.

The HAA score profile give the average, upper and lower HAA score for the group. The average value is a good indicator as to the overall status of the group and the upper and lower values give an assessment of the range. The chart shows the HAA profile curve, this plots the HAA score against the number of buildings and the shape provides information on the number of buildings in each score band. Curves with most buildings at the upper end suggest a group with few issues.

Whilst the risk assessment and HAA score give good measures as to the current status and likely change profile for a building, there are a range of other facilities which are taken into account in assessing the potential for action for any particular building. To allow the generation of prioritised action lists for all or groups of buildings, an assessment technique has been developed to take account of these additional criteria.

The PAS assessment gives a score between 0 and 100 (100 – highest priority for action) for each building, based on the following measures: list grade, risk score, local factors (data provided by local conservation officers), the change in decline, the rate of decline, HAA score and cluster HAA (a measure of the general status of the buildings close to that under consideration). A weighting factor is applied to each of the measures to arrive at the overall PAS value.

At present, a range of general weighting factors have been applied to the data to give an illustration of the system. Over time the weighting factor values will be updated to reflect the general national view.

The chart shows the unwieighted score values for the group for each of the PAS measures. The red point represents the average level and the blue bars show the upper and lower limits. A large spread of values is not untypical given the diverse range of buildings present in most groups. The higher the level of the red point the higher the average score that measure has in the group. The overall PAS value takes the measure scores and combines them by using the applicable weighting factors.

From analysis of the range of PAS values for all buildings in the data set a range of priority action level bands have been set. These will be modified over time and should be seen as a guide only. The band profile (and chart) is a useful measure of the level of action priority for any particular group.

Mae copi o'r ddogfen hon ar gael yn y Gymraeg ar gais.

The condition of the historic environment is one of the indicators used to measure progress towards the achievement of the well-being goals established under the Well-being of Future Generations Act (Wales) 2015.

HAABase Wales contains data from a survey of the condition and use of all listed buildings in Wales which allows for the early identification of trends that can assist in the development of strategies and the prioritisation of action to ensure the protection of listed buildings.

This data collection is part of a continuous data gathering exercise on the condition of listed buildings across Wales, first commissioned by Cadw in 2012. This is done on a five-year rolling period and the current process is for the period October 2024 to October 2029.

All data held on the HAABase Wales website is collected on behalf of Cadw (Welsh Ministers) who are the data owners, data controllers and who approve all requests for access to it.

This privacy notice tells you what to expect in relation to your personal information in relation to the HAABase Wales website. All data is held and used subject to all privacy policies issued by Cadw. Full details of the Cadw privacy policy can be found at https://cadw.gov.wales/privacy-policy.

Contact Details: support@t-hp.com

Subject Matter of the Data/Processing

A survey of the condition of all listed buildings in Wales to allow for the early identification of trends that can assist in the development of strategies and the prioritisation of action to ensure the protection of listed buildings. Data is collected via publically available sources, via surveys/photography of building/structures to gather and record information in relation to the condition and use of listed buildings in Wales.

The Data we collect

Personal data, or personal information, means any information about an individual from which that person can be identified.

We may collect, use, store and transfer different kinds of personal data about you which we have grouped together as follows:

Identity Data for account holders - includes first name, last name, username or similar identifier, and email address.

Contact Data for account holders - email address.

Technical Data for account holders - includes internet protocol (IP) address, your login data, browser type and version, time zone setting and location, browser plug-in types and versions, operating system and platform and other technology on the devices you use to access the Website.

Usage Data for account holders - includes information about how you use the Website (HAABase.com).

Technical data relating to listed buildings - Photographs/images of buildings. The condition and occupancy status of listed buildings.

Lawful bases and data protection rights

Under UK data protection law, we must have a “lawful basis” for collecting and using your personal information. There is a list of possible lawful bases in the UK GDPR.

Which lawful basis we rely on may affect your data protection rights which are set out in brief below:

Your right of access - You have the right to ask us for copies of your personal information. You can request other information such as details about where we get personal information from and who we share personal information with. There are some exemptions which means you may not receive all the information you ask for.

Your right to rectification - You have the right to ask us to correct or delete personal information you think is inaccurate or incomplete.

Your right to erasure - You have the right to ask us to delete your personal information.

Your right to restriction of processing - You have the right to ask us to limit how we can use your personal information.

Your right to object to processing - You have the right to object to the processing of your personal data.

Your right to data portability - You have the right to ask that we transfer the personal information you gave us to another organisation, or to you.

Your right to withdraw consent – When we use consent as our lawful basis you have the right to withdraw your consent at any time.

If you make a request, we must respond to you without undue delay and in any event within one month.

To make a data protection rights request, please contact us using the contact details at the top of this privacy notice.

Our Lawful Bases for the collection and use of your data

The condition of the historic environment is one of the indicators used to measure progress towards the achievement of the well-being goals established under the Well-being of Future Generations Act (Wales) 2015.

We (The Handley Partnership) are collecting data on behalf of Cadw (Welsh Ministers), they are the data controller.

We (The Handley Partnership) are collecting or using your information because it forms part of a contract to carry out a data gathering exercise relating to the condition and use of listed buildings in Wales as required by a contract issued by Cadw (Welsh Ministers). Our legitimate interests are:

We collect personal data to allow us to operate access accounts for users and to fulfil the data collection requirements of our contract.

Our lawful bases for collecting or using personal information for research or archiving purposes:

The condition of the historic environment is one of the indicators used to measure progress towards the achievement of the well-being goals established under the Well-being of Future Generations Act (Wales) 2015.

We (The Handley Partnership) are collecting data on behalf of Cadw (Welsh Ministers), they are the data controller.

We (The Handley Partnership) are collecting or using your information because it forms part of a contract to carry out a data gathering exercise relating to the condition and use of listed buildings in Wales as required by a contract issued by Cadw (Welsh Ministers). Our legitimate interests are:

We collect personal data to allow us to operate access accounts for users and to fulfil the data collection requirements of our contract.

Where we get personal information from:

Account holders – directly from you.

Listed building related data – Cadw, publically available sources, surveys.

Location of Processing

Data will be uploaded and stored on a secure, online web application. Local authorities will have access to data for their respective local authority areas. Other bodies such as funding agencies will also have restricted access.

How long we keep the information for:

This is part of a continuous data gathering exercise on the condition of listed buildings across Wales, first commissioned by Cadw in 2012. This is done on a five-year rolling period and this contract is for the period October 2024 to October 2029.

After being uploaded to the web application and/or its backup system, any information stored outside of the web application, will be stored securely and destroyed no longer than 12 months after its creation date.

Who we share information with

As required by our contract we (The Handley Partnership) will share data with Cadw (Welsh Ministers), they are the data controller and all data on this website is collected on behalf of them, is owned by them and is subject to any applicable privacy policy put in place by them.

Data is also shared with approved uses of the system as approved by Cadw (Welsh Ministers). The Handley Partnership is not permitted to share data with any person or body without the prior approval from Cadw (Welsh Ministers). Any request for access to data will be passed to Cadw (Welsh Ministers), they will respond to such queries. The criteria to define an approved user is set by Cadw (Welsh Ministers). Access to the date is only permissible by approved registered users. All access to data will be subject to the conditions of any end user data agreement, or any other applicable agreement, put in place between the data user and Cadw (Welsh Ministers).

October 2025