Darllenwch y dudalen hon yn Gymraeg
Earlier in the summer I shared the news that a new StatsWales service is on its way. Today, I’m pleased to provide more detail on what you can expect as we prepare to launch the beta version of the new platform.
Continue readingBy Ryan, Digital and Data team for Mining Legacy & Reservoir Safety
Darllenwch y dudalen hon yn Gymraeg
In July, the Senedd passed the Disused Mine and Quarry Tips (Wales) Bill. It’s now received Royal Assent and the new Disused Tips Authority will be established in 2027 – a big milestone. But while the legislation is recently passed, the work to implement it has been underway for some time. Our digital and data work began in March 2024 and has been steadily building since.
Continue readingPost by Tim, Corporate Digital Team, Welsh Government
We’re developing the GOV.WALES Global Experience Language (GEL) design system to help teams build consistent, accessible, and efficient digital products. Here’s how it works and what we’re planning.
Continue readingPost by Roland, Corporate Digital Team, Welsh Government
Find out about our commitment to accessibility in this introduction to our approach on GOV.WALES.
Continue readingEach month we publish a wide range of NHS secondary care statistics, from urgent and emergency care to diagnostics, therapies and NHS waiting lists. We’ve recently made some changes to improve the relevance and timeliness of our data and to reflect a change in the way 999 ambulance calls are managed.
Darllenwch y dudalen hon yn Gymraeg
Continue readingPost by Rebecca Godfrey, Interim CEO of the Welsh Revenue Authority and Chair of the Digital and Data Standards Board for Wales
Darllenwch y dudalen hon yn Gymraeg
On 24 July, I chaired the Digital and Data Standards Board for Wales and I wanted to update you on our work.
The Digital Strategy for Wales aims at driving a culture change in Wales – being open, using data to solve problems and putting people at the heart of all we do. The Digital Service Standards for Wales help us think about how we do this.
Continue readingFollowing extensive engagement with local authorities, we have a final list of updated names for the Lower Super Output Areas (LSOAs) in Wales. These updated names ensure that they are intuitive, bilingual and reflective of the electoral ward names and the local communities they represent.
Darllenwch y dudalen hon yn Gymraeg
Continue readingPost by Cyber Co-ordination and Leadership Team, Welsh Government
Darllenwch y dudalen hon yn Gymraeg
Two years ago we launched the Cyber Action Plan for Wales, setting out our vision that Wales prospers through cyber resilience, talent and innovation.
The Plan’s four priority areas are to:
Darllenwch y dudalen hon yn Gymraeg
StatsWales is an invaluable resource for researchers, policymakers, and citizens since its inception. With over 280,000 unique users each year, it serves as a comprehensive repository of Welsh statistics and data. Whether you are delving into economic trends, health data, or the shape of our population, StatsWales provides the detailed insights you need to understand various facets of Welsh life.
Continue readingPost by Joseph HC, Data Science Unit, Welsh Government
Darllenwch y dudalen hon yn Gymraeg
Information on the energy efficiency of homes across Wales is helpful for policy makers as evidence for fuel poverty, energy strategy and green initiative policies. In the Data Science Unit, we have been working on a project to build a stronger evidence base for the energy efficiency of Welsh homes.
The most up-to-date source of information available on the energy efficiency of homes is the Energy Performance Certificates (EPC) Register. The Register, however, only covers half of all homes in Wales and is overrepresented by newer, more energy efficient homes. This is because legislation was introduced in 2008 that made EPC surveys a mandatory requirement when selling or renting a property.
This blog describes how we have been using the register of Energy Performance Certificates (EPC) to build a dataset that covers every residential property in Wales. This work builds on a project undertaken by the Office for National Statistics’ Data Science Campus: Using machine learning to predict energy efficiency | Data Science Campus.
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