Dr Alasdair Rutherford & Dr Orian Brook University of Stirling

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Presentation transcript:

Dr Alasdair Rutherford & Dr Orian Brook University of Stirling Using Administrative Data to Understand Civil Society Organisations in Scotland Dr Alasdair Rutherford & Dr Orian Brook University of Stirling October 2016

Data on Civil Society Organisations What does the distribution of Civil Society Organisations look like in Scotland? How does the distribution, type and activity of organisations vary across space, rurality and deprivation? How can we use new sources to improve the data we have?

Measuring Civil Society Organisations Charity registers commonly used Office of the Scottish Charity Regulator (OSCR) hold records on all registered Scottish charities (no income threshold) c24,000 records, high quality and complete data (relatively) But suffers Head Office bias: legal address not operational address Only one location per charity, no matter how many they have MILO Database Managed by Scottish Council for Voluntary Organisations, used by Third Sector Interfaces/Volunteer Centres across Scotland Supporting CSOs in legal formation, training, advising trustees etc Key activity: matching volunteers and volunteering opportunities

Milo Data Details of 35,000 voluntary orgs/38,000 orgs (plus volunteers, opportunities but not used for this project) Pros (compared to OSCR) Records working sites not legally registered addresses Records multiple sites (eg charity shops) Records vol orgs which aren’t registered charities Cons (compared to OSCR) Recorded for working not research – messy, inconsistent Incomplete – orgs not recorded if not interacting with TSIs/VCs

Total Number of CSOs in the Two Databases

Urban-Rural Classification Standardised by population shows greater impact of how Milo represents CSOs outside large cities

Indices of Multiple Deprivation Analysis by population shows much more important presence of CSOs in deprived areas. Address of CSO not = area of operation, but more likely on Milo, and unlikely to be based in a deprived area but not working in one

Comparing Records in the Two Databases

Government Funding and No. of Records

Social Care Organisation Numbers

Social Care Organisation Numbers

Modelling Social Care Organisation Numbers Model: Negative Binomial at Datazone level, controlling for rurality; deprivation; population numbers; total recorded organisations (all types) in both databases

Using Administrative Data to Understand Civil Society Organisations in Scotland Significant numbers of organisations are recorded locally that do not feature in the Charity Register Data Using local data highlights patterns in the distribution of organisations concealed by “head office bias” There are data quality issues that need to be addressed in using data from local databases