- Reading time: 3 minutes
- Price: Free download
- Published: 4th October 2026
- Word count: 653 words
- File format: Text
Personal statement example
On Sunday afternoons I often sit at my grandmother's kitchen table in Merthyr helping her neighbours fill in forms: pension credit applications, council tax reductions, once a census return. Over several years I noticed how much the same paperwork demanded of different people. A retired miner with a bad hip and no internet access faced the same online-first system as his daughter, who did it on her phone in ten minutes. Those afternoons did not make me want to study inequality in a single moment, but they left me curious about how age, health and place combine to shape the choices people actually have.
I followed that curiosity into a BSc in Sociology with Quantitative Methods at Cardiff, where I graduated with a 2:1. The modules I enjoyed most paired theory with data. Reading about the second demographic transition gave me a way to think about falling fertility and later family formation as connected to changes in values and economic security, and I was interested in debates about how well the idea fits places where delayed childbearing seems driven more by insecure work and housing than by individual preference.
That question became my dissertation. Using publicly available Office for National Statistics births data, I compared trends in mothers' average age at birth across English regions and Wales over two decades, alongside regional figures on private rents and economic inactivity. The analysis was descriptive and correlational. I was careful in my write-up to say that I could not separate cause from coincidence, and that regional averages hide large differences within areas. Still, the work taught me a great deal: cleaning inconsistent spreadsheets, building simple regression models in R, and learning how much a choice of age band or reference year can change the story a chart appears to tell. My supervisor encouraged me to think about what individual-level longitudinal data would let me ask, and that is a large part of why I am applying for postgraduate study now.
Since graduating I have worked about twenty-five hours a week on the counter of a community pharmacy. The job is mostly practical: handing out prescriptions, answering questions about opening hours, and working out when a query needs the pharmacist. It has also shown me ordinary patterns I had only read about. Many of our regular customers are older people managing several medicines, and some rely on a single relative to collect them. When that relative moves away for work, the arrangement can fall apart. I do not treat these observations as research, but they make abstract ideas such as population ageing and the geography of family care feel concrete.
Outside work I help organise volunteers for a weekly parkrun, which mostly means rotas, a lot of messages and standing in the cold with a stopwatch. I enjoy it because it is reliable and sociable, and because it has taught me to keep a small group of busy people coordinated without fuss.
I am drawn to a programme that combines demography with the study of social inequality because my interests sit exactly where the two meet. I want to understand how life-course events such as leaving home, having children, caring for parents and retiring are distributed unevenly, and how methods like event history analysis can describe those patterns more precisely than the regional averages I worked with. I would particularly like to develop my skills with longitudinal and register data, and to study in a comparative setting where I can see how different welfare and housing systems shape the same transitions.
I bring a solid grounding in statistics, habits of careful and honest reporting, and steady experience of work that keeps me close to the everyday consequences of demographic change. In the longer term I hope to work in applied population research, whether in public statistics, local government or a research post, producing evidence that helps services meet the people they are designed for.