-
Rhyddhawyd ar: 29 November 2016
|
Bwletin ystadegol
Annual live births by age of mother and father, type of registration, median interval between births, number of previous live-born children and National Statistics Socio-economic Classification (NS-SEC).
-
Rhyddhawyd ar: 17 March 2017
|
Setiau data
Number of residential property sales in England and Wales by property type and electoral ward.
-
Rhyddhawyd ar: 17 March 2017
|
Setiau data
Median price of residential property sales in England by property type and English county.
-
Rhyddhawyd ar: 27 November 2017
|
Bwletin ystadegol
Annual live births by age of mother and father, type of registration, median interval between births, number of previous live-born children and National Statistics Socio-economic Classification (NS-SEC).
-
Rhyddhawyd ar: 10 February 2022
|
Setiau data
Employment outcomes for disabled people in the UK aged 16 to 64 years, with analysis by age, sex, impairment type, country, region, type of occupation and working patterns using Annual Population Survey (APS) data.
-
Rhyddhawyd ar: 2 December 2019
|
Bwletin ystadegol
An overview of published data on disability and crime in the UK and analysis of the experiences of domestic abuse and sexual assault for disabled adults aged 16 to 59 years in England and Wales. Analysis by age, sex and impairment type.
-
Rhyddhawyd ar: 27 July 2020
|
Setiau data
International standards data on General Government debt split by instrument, residency and currency type.
-
Rhyddhawyd ar: 17 March 2017
|
Setiau data
Mean price of residential property sales in England by property type and English county.
-
Rhyddhawyd ar: 22 July 2022
|
Setiau data
Supporting data from the Labour Force Survey (LFS) and Annual Population Survey (APS) on maternal and paternal employment, broken down by age, sex, number of dependent children, family type, skill level and employment type.
-
Rhyddhawyd ar: 24 October 2019
|
Setiau data
Supporting data from the Labour Force Survey (LFS) and Annual Population Survey (APS) on maternal and paternal employment, broken down by age, sex, number of dependent children, family type, skill level and employment type.
