I have been awarded a scholarship from the University of Sheffield to do a short research project on Well-being in UK Coastal Communities.
For the project, I am focusing on the Durham Heritage Society. My first aim to collect data on the current well-being in the wards that lie within the Heritage Society.
I have been following the 41 measures from the ONS project Measuring National Well-being https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/datasets/measuringnationalwellbeingdomainsandmeasures
The ONS has sourced the Household Longitude Study as the data source for the following measures -
job satisfaction, mental well-being, satisfaction with health, physiological health (percentage who suffered from anxiety or depression), satisfaction with their amount of leisure time, percentage who volunteered in the last 12 months, belonging in their neighbourhood, satisfied with their income, those who reported they found it difficult or quite difficult to manage financially, people to rely on if they have a serious problem
I understand that to access the raw data you must go via the UK Data Service, however, I am confused which exact data sets I am looking for. Which wave do these measures belong to?
Is it possible to access the data provided to the ONS when they produced their National Well-being reports?
Updated by Gundi Knies over 4 years ago
- Category set to Data documentation
- Assignee set to Grace Wallace
- Target version set to X M
ONS use the standard end-user licence version of Understanding Society, so that is what you should be accessing as well. The release also contains the region code (GOR) which allows you to look specifically at those respondents in the North East.
Note that Understanding Society is not representative for any level of spatial aggregation lower than that of the region. You can apply to get access to Census area ward codes to enrich the Study data with more information about the communities in which areas people live, see https://www.understandingsociety.ac.uk/about/data-linkage, and then focus on the N East and make statements such as people in more deprived areas in the N East are, on average XY".
But you will not have enough cases to look specific wards within the North East. For example, within the North East region, in Wave 5, you have information from 918 sampled households, in 280 out of 484 wards. So, in all likelihood, you will have less than 3 households in each of the observed wards [918 sampled * household response rate 0.8 / 280 wards = 2,6 households]. You would not want to make any statements for an entire ward on the basis of information collected from 3 households!
Hope this helps,