Classification John Perry, UK ONS.

Slides:



Advertisements
Similar presentations
Statistics NZs experience in using Administrative Data in an Integrated Programme of Economic Vince Galvin General Manager Strategy & Communications.
Advertisements

- ONS Classification Coding Tools Project Occupation Classification Workshop RSS, London, 21 June 2004 Nigel Swier.
Harmonisation Explained. Introduction The Next few slides will explain; What is harmonisation? Who are the Harmonisation Team? Why Harmonise? Governance.
Business Register Outputs in Support of Regional Policy John Perry UK Office for National Statistics.
Implementing Coding Tools for a New Classification John Perry, UK Office for National Statistics.
ESSnet STAND-PREP Work Package 2. WP2: Aim Systemise standards other than statistical methods and examine issues in the adoption of standards. Consider.
Quality assuring the UK business register Andrew Allen.
Balance of Payments Collection and Compilation 23 Feb 2012 Central Statistics Office Ireland.
United Nations Economic Commission for Europe Statistical Division Applying the GSBPM to Business Register Management Steven Vale UNECE
1 Constructing and Maintaining a Business Register: Singapore’s Experience By Ong Lai Heng Singapore Department of Statistics International Workshop on.
Classification of Holding Companies and Head Offices according to NACE Rev.2.
Session 1 – Use of profiling for public administration Linda Scott Head of Business Register Operations UK.
Integration Development Programme in the Field of Statistics of the Eurasian Economic Union for EEC THE EURASIAN ECONOMIC COMMISSION.
The Generic Statistical Business Process Model application in the Russian statistical practice High Level Workshop on Modernization of Official Statistics.
Revision Project of the Business Register (BR) and Business Statistics in September 2013 Tuula Viitaharju.
 Statistical Center of Iran is legal responsible for compilation of economic statistics and national accounts. National accounts compile by Economic.
Data sources of the EuroGroups Register Presentation by Eurostat
Who trades services across the Austrian border? Providing structural information on basis of micro data Global Forum on Trade Statistics Patricia Walter.
Disseminating Trade in Goods and Services in Canada Global Form on Trade Statisitcs February 4, 2011.
Compilation of External Trade Statistics by Enterprise Characteristics: Progress Report Karo Nuortila European Commission/DG Eurostat/ Unit G3 International.
Register Unit, Study visit Ukrain Day/Place TimeActivityPerson responsible Monday, Oct 15- Örebro Room: 6G.35/4K Pick-up at the hotel.
M O N T E N E G R O Negotiating Team for Accession of Montenegro to the European Union Working Group for Chapter 18 – Statistics Bilateral screening: Chapter.
M O N T E N E G R O Negotiating Team for Accession of Montenegro to the European Union Working Group for Chapter 18 – Statistics Bilateral screening: Chapter.
4-6 September 2013, Vilnius Quality in Statistics: Administrative Data and Official Statistics USING ADMINISTRATIVE DATA SOURCES IN OFFICIAL.
Statistical Business Register– the Estonian experience
Compilation and Dissemination of Distributive Trade Statistics
Development of Strategies for Census Data Dissemination
Towards more flexibility in responding to users’ needs
FUTURE EVOLUTION OF SHORT-TERM ECONOMIC STATISTICS
Cooperation of statistical register and survey departments in Statistics Estonia 22nd Meeting of the Wiesbaden Group on Business Registers Tallinn,
The Development of Statistical Business Registers in
The main orientations, plans and problems when implementing the
Regional business register
Ivo Havinga United Nations Statistics Division
Sharne Bailey, Tony Byrne UK, Office for National Statistics
STATISTICAL OFFICE OF THE SLOVAK REPUBLIC
Guidelines on Integrated Economic Statistics
Manufacturing Statistics in Turkey
Measuring the Impact of Business Profiling in the UK Wiesbaden Group on Business Registers Profiling (Costs and Benefits) Tallinn, Estonia, September.
SUTs – data sources and bridge tables
Labour accounts THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION.
Quality Aspects and Approaches in Business Statistics
Profile of Danish enterprises with 0 employees
The Integration of Enterprise Groups into the German Business Register
Labour accounts Robin Lynch
Business Register Quality Improvement
Observed differences between quarterly and annual financial accounts data, comparing total financial assets and liabilities Item 5 Eurostat Task Force.
Metadata in the modernization of statistical production at Statistics Canada Carmen Greenough June 2, 2014.
WORKSHOP ON THE DATA COLLECTION OF OCCUPATIONAL DATA Luxembourg, 28 November 2008 Occupation as a core variable in social surveys Sylvain Jouhette
Sub-regional workshop on integration of administrative data, big data
ROUNDTABLE Confidentiality - Disclosure Review
A SUMMARY NOTE ON REVISED GDP ESTIMATES
Institutional arrangements of external trade statistics in Hungary
Profiling of large and complex businesses
Concepts of industry, occupation and status in employment - Overview
Matching and Industry Coding
SUTs – data sources and bridge tables
Guidelines on Integrated Economic Statistics
Regional Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics Gülçin ERDOĞAN September 2013 Ankara.
Introducing the GSBPM Steven Vale UNECE
ESTP COURSE ON ECONOMIC AND SOCIAL CLASSIFICATIONS Introductory course Day 1 – second morning session International family of economic and social classifications.
Economic classifications
Statistical Business Register– the Estonian experience
Hungarian Central Statistical Office
Environmental Protection Expenditure Accounts
Michaela Grell – Unit G1 – SBS
Linking trade statistics with business statistics
“Managing Modern National Statistical Systems in Democratic Societies”
PRODCOM Working Group JMO M November 2012
Preparing for A Strategy for Change Based on Previous Experiences Steve Vale Office for National Statistics, UK.
Presentation transcript:

Classification John Perry, UK ONS

Promoting standards EU Compliance – e.g. NACE Revision 2 Regulation (EC) 1893/2006 Improving the quality of data - reduce avoidable differences in outputs caused by use of different classifications. Comparability for cross survey analysis and integration - Use of standard classifications will increase access to data from different sources and make them comparable across time. Provision of consistent classifications will enable the comparison of statistical products and create an environment in which multiple data sources can be integrated. Maximise return on data holdings - Statistical information is a key commodity that should be shared. When classifications are standardised internal and external users can be told where they are stored, and which versions are available. Creation of a common standard prevents the proliferation of non standard classifications. Efficient dissemination – Standardised classifications facilitate self-help for users of data on the web, thereby increasing efficiency and reducing burden on staff responsible for answering questions. Knowledge management – Use of standard classifications reduces vulnerability to staff turnover by sharing knowledge within the organization, encouraging dissemination of good practice and improving communication with internal and external users.

Relevant standards Industry coding (NACE) Sector classification (ESA) National Statistics Country Classification (NSCC) National geography Standard Occupational Classification 2000 (SOC)

UK Standard Industrial Classification 2003 Created for statistical purposes Administrative sources provide input to statistical systems Administrative users need to support their own decisions by analysis Businesses need to provide information to a wide range of government bodies

Standards through coding tools The UK introduced automated coding tools for coding descriptions of business activity as a means to move from its 1980 to its 1992 industrial classification system Closer working with the administrative departments and modernisation of the ONS computing systems have resulted in further development of coding tools. Good basis for using such tools in the introduction of the new European classification, NACE Rev. 2, in 2007.

Coding based on business activity description

Edited Description ACTR Index Entry Blank SIC2003 and SIC2007 codes Bridging Codes ACTR SIC2003 to 2007 Look-up Batch Interactive Failed Anomaly ? No Yes No input description

Adopting SIC VAT Traders – 14 January 2008 PAYE Employers – own trade codes - business descriptions provided Company Registrations – changing late in 2008 Farms Survey System – own farm type coding

UK Sector Classification for National Accounts SECTOR 11: Non-financial corporations SECTOR 12: Financial Corporations SECTOR 13: General Government SECTOR 14: Households SECTOR 15: Non-profit Institutions Serving Households SECTOR 2: Rest of the World

Coding from the business register legal status industrial classification (SIC) country of ownership codes

Example S.11001 (Public non-financial corporations) Enterprises with legal status 4 for all SIC2003 divisions except 65, 66 and 67 are allocated to this sector. Country of ownership code must be GB or blank only.

National Statistics Country Classification (NSCC) Based on the Balance of Payments vade mecum Primary source is Dun and Bradstreet own three digit codes Do not always map to BoP standard Some users request ISO three-digit codes

Issues Dun and Bradstreet ambiguity: United Kingdom Guernsey United Kingdom Jersey United Kingdom Isle of Man United Kingdom United Kingdom BoP to ISO ambiguity: Morocco Morocco (inc ISO Western Sahara) Finland Finland (inc ISO Aland)

Examples of country concordance

National geography National Statistics 2001 Area Classification (NSAC) Rural and Urban Area Classification 2004 (Harmonised) Standard Names and Codes for UK Geographies (SNAC)

Example of geographic coding standard

Standard Occupational Classification 2000 (SOC) Used for coding the annual survey of hours and earnings – a survey of businesses who provide details for a sample of their employees Coding using ACTR based on occupation descriptions Link to industry coding