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📘 Research Scope: UK Asylum & Immigration (2014–2024)

1. 🎯 Objective

• To understand trends, patterns, and outcomes in asylum applications and immigration flows in the UK over the past decade.
• To highlight policy impacts, demographic changes, and regional distributions.
• To create data-driven insights useful for policymakers, NGOs, academics, and advocacy groups.

2. 📂 Data Sources

You’ll need open, reliable datasets. Recommended sources:

• UK Home Office Immigration Statistics (quarterly & annual datasets) → asylum, resettlement, detention, returns, work/study visas.
• UK Office for National Statistics (ONS) → population migration estimates, demographics.
• Eurostat / UNHCR → asylum comparisons across Europe.
• UK Parliament Briefings → summaries of immigration policy changes.

Key datasets to extract:

• Asylum applications by year, nationality, outcome.
• Immigration by visa type (work, family, study, humanitarian).
• Refugee resettlement and relocation figures.
• Appeals and decisions (granted, refused, pending).
• Detention and removal statistics.
• Demographics: age, gender, region of origin.

3. 🛠 Data Preparation

• Clean and reshape datasets (CSV/Excel from Home Office).
• Use Power Query to merge multiple tables (asylum, visas, population).
• Build time dimension tables for trends.
• Add policy event markers (e.g., Brexit 2016, Afghan resettlement 2021, Rwanda policy 2022).

4. 📊 Power BI Design (Dashboards & Reports)

A. Overview Dashboard

• Total immigration vs asylum applications (2014–2024).
• Year-on-year % changes.
• Major peaks & drops highlighted.

B. Asylum Trends

• Applications by nationality (top 10 countries).
• Decision outcomes (granted, refused, withdrawn, pending).
• Processing time averages.
• Appeals success rate.

C. Immigration Types

• Visa grants by category (study, work, family, humanitarian).
• Share of each visa type in total immigration.
• Regional concentration of arrivals (London vs rest of UK).

D. Demographic Insights

• Age and gender breakdown of asylum seekers.
• Family vs single applicants.
• Vulnerable groups (unaccompanied minors, resettled families).

E. Regional & Local Authority View

• Asylum dispersal by local authority.
• Refugee settlement patterns.
• Regional capacity vs arrivals.

F. Policy Impact Dashboard

• Overlay asylum/immigration numbers with key policy events:
• 2016: Brexit referendum.
• 2020: End of free movement.
• 2021: Afghan resettlement scheme.
• 2022: Ukraine schemes + Rwanda plan.
• Show before/after effect of each policy.

5. 💡 Insights to Extract

• Trend analysis: Has asylum increased or decreased overall? Which nationalities dominate over time?
• Policy effects: Did Brexit reduce EU migration? Did Afghan/Ukraine schemes increase humanitarian visas?
• Backlog issues: How many asylum seekers are awaiting decision compared to past years?
• Regional pressure: Which UK cities/regions host the most asylum seekers?
• Demographic shifts: Are younger or older applicants more common now?
• Comparisons: How does UK asylum acceptance rate compare with EU average?

6. 📈 Deliverables

• Interactive Power BI report with filters (year, nationality, visa type).
• Exportable PDF summary dashboards for quick reference.
• A narrative story page in Power BI explaining the “10-year journey” of asylum and immigration in the UK.

👉 Would you like me to also prepare a sample Power BI data model structure (fact & dimension tables design with relationships), so you know how to organize your datasets before loading?

You said:

search online and give me specific website to check

ChatGPT said:

Here are reliable websites and data sources you can use to gather UK asylum & immigration data for your Power BI project:

✅ Key Official Websites & Data Sources

If you like, I can pull together direct data tables / CSV links from these sources (for the past 10 years) that you can load into Power BI. Do you want me to fetch those now?