Data in the spotlight: Census and population studies
Date:
10/12/2024
Organised by:
University of Manchester
Presenter:
David Rawnsley and James Crone
Level:
Entry (no or almost no prior knowledge)
Contact:
Emma Green
emma.green-3@manchester.ac.uk
Venue: Online
Description:
Do you want to know more about the best resource for population studies in the UK? Do you want to understand how the UK census works and how to access the data within it?
This free 90-minute online workshop will introduce you to the UK Census, the data held by the UK Data Service, and how to use the web interfaces to access the data. There will also be up to date information on the progress of the 2021 Census for England, Wales and Northern Ireland, and the 2022 Census for Scotland.
The workshop will consist of 30 minutes of presentations, 40 minutes of hands-on practical, and time at the end for questions.
Level: Introductory
Experience/knowledge required: Some spreadsheet knowledge would be useful
Target audience: Anyone interested in knowing more about the UK population
This event will be livestreamed on our UK Data Service YouTube channel but the chat will be disabled. By registering and attending the Zoom event you will be able to ask questions and interact.
Recordings of UK Data Service events are made available on our YouTube channel and, together with the slides, on our past events pages soon after the event has taken place.
This event is part of our UK Data Service introductory training series: Autumn 2024.
Cost:
Free
Website and registration:
https://ukdataservice.ac.uk/events/20011-2-2-7/
Region:
Europe
Keywords:
Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis
Related publications and presentations:
Frameworks for Research and Research Designs
Data Collection
Data Quality and Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis