Search Results
Showing 231 to 240 of 398 results for `2011 Census data`
-
4. Education and employment
Analysis of data from the 2011 census on the characteristics of migrants in Scotland. This is a revised version of a report published in March 2015.
-
Background Notes
Results of the annual pupil and teacher censuses, early learning and childcare data, school estates data, attendance and absence data and exclusions data.
-
Data Sources
A draft Equality Impact Assessment (EQIA) considering the potential effects of the draft Disability Assistance for Older People (Scotland) Regulations 2024 on individuals with protected characteristics.
-
12 Annex: Considerations when interpreting the data
The Scottish Vacant and Derelict Land Survey is a data collection undertaken to establish the extent and state of vacant and derelict land in Scotland. The survey has been operating since 1988, and is managed by the Scottish Government Communities
-
3. Methods and data
This research identifies and maps the neighbourhoods in Scotland that would be most disadvantaged by flooding.
-
6. Gypsy/Traveller accommodation needs and aspirations
Overview of the evidence about the accommodation needs of Gypsy/Travellers in Scotland, drawing on both academic and grey literature. It discusses current provision, accommodation needs and aspirations, and identifies key areas which could be
-
2. Personal and household characteristics, including ethnicity, religion and language
Analysis of data from the 2011 census on the characteristics of migrants in Scotland. This is a revised version of a report published in March 2015.
-
Background notes
statistics on children looked after, child protection and secure care and close support accommodation
-
3. Approaches to Spatial Targeting
This report by the independent Expert Advisory Group on Migration and Population analyses a range of place-based policy approaches to population challenges (including zonal approaches), and sets out lessons for Scotland.
-
4 Conclusion
This Scottish research looks at the communities most socially and spatially vulnerable to potential flood events in terms of their underlying characteristics (i.e. socio-demographic data such as age and health, spatial and physical characteristics
There is a problem
Thanks for your feedback