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Support #1457

Variable for living in a big city

Added by Lior Shabtai 10 months ago. Updated 7 months ago.

Status:
Resolved
Priority:
Normal
Assignee:
-
Category:
-
Start date:
12/06/2020
% Done:

100%


Description

Hello,

We use the data in a study that examines the gender wage gap, and we would like to have information about whether individuals live in big cities.

I was wondering if there is a relevant variable, or another variable that I can use to construct a variable for our purposes. I did not find such variables when I searched it on my own.

The only variable I found that is close to it is "urban_dv", but the issue is that the cutoff is 10,000 inhabitants, which is too low for our purposes.

We use waves 1-9 of Understanding Society.

Thank you very much!
Lior Shabtai

#1

Updated by Alita Nandi 10 months ago

  • Status changed from New to Feedback
  • Assignee set to Lior Shabtai
  • % Done changed from 0 to 80
  • Private changed from Yes to No

A more detailed version of the indicator is available here:
https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=7630
See if this variable is suitable for your analysis. This is a Special License data which requires you to submit an application for access to the data.

Best wishes,
Understanding Society User Team

#2

Updated by Lior Shabtai 10 months ago

Hello,

Thank you very much!

I am not sure it is what we need. Is there a way to know in which city individuals live (and we will merge it with city-level population data)?

Thank you,
Lior Shabtai

#3

Updated by Alita Nandi 10 months ago

  • % Done changed from 80 to 90

In order to know the city of residence, you will have to download the SPecial License datafiles for LAD residential codes (SN6666), and then identify the cities using the LAD codes.

https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=6666

Hope this helps.

#4

Updated by Understanding Society User Support Team 7 months ago

  • Status changed from Feedback to Resolved
  • Assignee deleted (Lior Shabtai)
  • % Done changed from 90 to 100

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