-
Rhyddhawyd ar: 31 October 2013
|
Erthygl
-
Rhyddhawyd ar: 26 March 2013
|
Erthygl
-
Rhyddhawyd ar: 19 December 2013
|
Setiau data
Detailed characteristics tables focusing on qualifications - these cross tabulations of two or more topics from the 2011 Census provide the greatest level of detail possible for wards.
-
Rhyddhawyd ar: 11 October 2016
|
Bwletin ystadegol
Estimates of health state life expectancies for the UK, its constituent countries and their sub-national areas using 2011 Census health and disability prevalence data.
-
Rhyddhawyd ar: 23 February 2018
|
Setiau data
Small population statistics giving key characteristics of people in specific small population groups such as individual ethnic groups, or those with a specific country of birth - for local authorities above a disclosure control threshold.
-
Rhyddhawyd ar: 19 February 2013
|
Setiau data
This release provides key 2011 Census estimates that describe the usual resident population (as at March 2011) of national parks in Wales. The 35 Key Statistics tables included provide census estimates for the populations within the exact boundaries of the three national parks in Wales.
-
Rhyddhawyd ar: 02 February 2018
|
Setiau data
All schoolchildren and students in full-time education aged four or over by country of birth for England and Wales, regions and local authorities.
-
Rhyddhawyd ar: 26 July 2021
|
Setiau data
Odds ratios based on sex, age in single years, square of age in single years, age in five year age bands, regions, deprivation quintile and ethnic group
-
Rhyddhawyd ar: 26 March 2014
|
Setiau data
Detailed characteristics tables focusing on approximated social grade - these cross tabulations of two or more topics from the 2011 Census provide the greatest level of detail possible for wards. Social grade is a socio-economic classification used by market research industries to analyse spending habits and consumer attitudes.
-
Rhyddhawyd ar: 25 March 2015
|
Erthygl
People aged 65 and over who were in employment at the time of the 2011 Census, highlighting regional and local variations.
