-
Rhyddhawyd ar: 27 August 2025
|
Methodoleg
Quality and Methodology Information for births occurring and registered in England and Wales. Data strengths and limitations, methods, and data uses and users.
-
Rhyddhawyd ar: 02 April 2025
|
Methodoleg
Quality and Methodology Information for childbearing in England and Wales, detailing strengths and limitations of the data, methods used, and data uses and users.
-
Rhyddhawyd ar: 15 November 2024
|
Methodoleg
Quality and methodology information (QMI) for labour productivity, detailing the strengths and limitations of the data, methods used, data uses and users.
-
Rhyddhawyd ar: 19 August 2024
|
Methodoleg
Quality and methodology information for environmental taxes statistics, detailing the strengths and limitations of the data, methods used and data uses and users.
-
Rhyddhawyd ar: 05 August 2020
|
Methodoleg
Quality and Methodology Information for the Shielding Behavioural Survey, detailing the strengths and limitations of the data, methods used, and data uses and users.
-
Rhyddhawyd ar: 31 October 2024
|
Methodoleg
Quality and methodology information for balance of payments (BoP) statistics, detailing the strengths and limitations of the data, methods used, and data uses and users.
-
Rhyddhawyd ar: 13 July 2018
|
Methodoleg
The Office for National Statistics has partnered with the Global Partnership for Sustainable Development Data to improve the quality, quantity and availability of inclusive data.
-
Rhyddhawyd ar: 18 January 2016
|
Gwybodaeth gorfforaethol
The questions on the 2011 Census in England and Wales were researched, tested and rehearsed to make sure the resulting data would be high quality.
-
Rhyddhawyd ar: 10 October 2024
|
Methodoleg
Quality and Methodology Information for the Business Insights and Conditions Survey, detailing the strengths and limitations of the data, methods used, and data uses and users.
-
Rhyddhawyd ar: 01 March 2024
|
Methodoleg
Quality and Methodology Information (QMI) for the Trust in Government Survey, detailing strengths and limitations of the data, methods used, and data uses and users.