Accessing and working with UK census flow data

Date:

21/01/2025

Organised by:

UK Data Service (University of Manchester)

Presenter:

Vassilis Routsis and Oliver Duke-Williams

Level:

Entry (no or almost no prior knowledge)

Contact:

Emma Green
emma.green-3@manchester.ac.uk

video conference logo

Venue: Online

Description:

In this free workshop, we will provide an overview of census flow data and demonstrate how to access them. Participants will gain insights into the various types of census flow data available from the UK Data Service and learn how to explore these data using the free online query tool, WICID. We will also offer a brief demonstration of upcoming access methods, such as the new census flow data API.

We will guide participants on how to download census flow data to their machines and highlight the key differences between the 2021 and 2011 census flow data. A quick exercise using Google Colab with 2021 data will also be included.

Participants will use WICID (a free online tool) to complete the activities. To fully participate, attendees should have a Google account to access the Google Colab platform. Spreadsheet software, such as Microsoft Excel, may also be useful for achieving some of the exercises’ objectives.

Level: Introductory
Experience/knowledge required: Some spreadsheet knowledge would be useful
Target audience: Anyone interested in knowing more about census flow data

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.

Cost:

Free

Website and registration:

Register for this course

Region:

International

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, ICT and Software, Research Management and Impact


Related publications and presentations from our eprints archive:

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
ICT and Software
Research Management and Impact

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