Economic characteristics UNECE Task Force on economic and educational characteristics Geneva 2.10.2013.

Slides:



Advertisements
Similar presentations
I.-SOURCES ON LABOUR VOLUMES IN NATIONAL ACCOUNTS NATIONAL ACCOUNTS MAKE ADJUSTMENTS BASED ON: LFS: Labour Force Survey Frequency: 3 months REGISTERED.
Advertisements

January 30-February 1, 2013 Kingston, Jam aica The Statistical Institute of Jamaica.
International conference on Census microdata: findings and futures 1-3 September 2008 Manchester, United Kingdom Uses of census microdata for health workforce.
Status of work on the International Classification of Status in Employment David Hunter ILO Department of Statistics Meeting of the Expert Group on International.
Labour market statistics in Poland. Labour supply, labour demand employment, job vacancy, unemployment Current statistics How we collect the data Household.
Production of Statistics on Informal Sector Employment and Informal Employment in Namibia By Panduleni C Kali.
THE SPANISH LABOUR MARKET IN THE TOURISM INDUSTRY, 2003 Teresa Guardia June 2004
Millenium Development Goals: Employment related Indicators
CES recommendations for the 2020 census round: Educational characteristics Friedrich Huebler UNESCO Institute for Statistics (UIS) Sixteenth meeting of.
UPDATE ON PROGRESS WITH ISCO AND INTERNATIONAL CLASSIFICATION OF STATUS IN EMPLOYMENT Expert Group on International Economic and Social Classifications.
Overview of the International classification of occupations (ISCO) A case for Uganda Ssennono vincent.
United Nations Economic Commission for Europe Statistical Division Labor Statistics: Informal Employment UNECE Statistical Division.
Valentina Stoevska Department of Statistics International Labour Office- Geneva 1 International Labour Organisation,
Labor Market Indicators for low/middle-income countries Paul Cichello May 1, 2009 The Employment Lab: New Diagnostic Tools for Employment Focused Development.
United Nations Statistics Division Overview. Overview  Of the many classifications in the Family, five reference classifications will be discussed at.
Estimating the Labour Force Trinidad and Tobago 28 th May 2014 Sterling Chadee Director of Statistics.
Economic Analysis and Statistics Division, Directorate for Science, Technology and Industry Beirut, 7-10 June 2005 Martin Schaaper OECD METHODOLOGIES AND.
New Labour Force Survey (NENE) Project Chile. General Aspects Changes in Labour Market during the last decades Measure the main concepts according to.
Near East Regional Workshop - Linking Population and Housing Censuses with Agricultural Censuses. Amman, Jordan, June 2012 Integrating Population.
ISCO88, ISCO08 and ESeC Regional Meeting, 9 December 2005 Presentation of Hungary.
USE OF LITHUANIAN CLASSIFICATION OF OCCUPATIONS ISCO 88, ISCO 2008 and the Development of the ESeC Regional Meeting, Oslo, 7 June 2005 Violeta Skamarociene.
United Nations Economic Commission for Europe Statistical Division The Revision of ISIC and NACE: Implications for National Accounts Joint EFTA/UNECE/SSCU.
The Implementation of ISIC and CPC Classification Systems in Zambia Republic of Zambia Central Statistical Office UN Workshop on International Economic.
THE STATUS OF STATISTICS ON WOMEN AND MEN’S ENTREPRENEURSHIP IN THE UNECE REGION Costanza Giovannelli, Hrund Gunnsteinsdottir, Angela Me UN Economic Commission.
Labour Force Survey By Munir Ahamd Aslam Director FBS Presentation on FBS – May, 2006.
UNECE WORKSHOP UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE WORKSHOP ON POPULATION AND HOUSING CENSUSES FOR COUNTRIES OF EASTERN EUROPE, CAUCUSES AND.
Central Statistical Office ZIMBABWE DATA ANALYSIS AND INTERPRETATION OF 2004 LFS Lovemore Sungano Ziswa.
PowerPoint Template - S TATISTICS I NDONESIA.
ISCO-08 - Current Status and plans to support implementation David Hunter Department of Statistics International Labour Office United Nations Expert Group.
Availability and Quality of Data Angela Me UNECE Statistics Division.
United Nations Sub-Regional Workshop on Census Data Evaluation Phnom Penh, Cambodia, November 2011 Evaluation of Socioeconomic Data Collected from.
1 Sources of gender statistics Angela Me UNECE Statistics Division.
Statistics Canada Statistics Canada Statistique Canada Statistique Canada Gender and economic statistics: Using available data UN Global Forum on Gender.
Disaggregation of data by background variables – age, households, socio-economic categories Bratislava, 5-7 May 2003 Stein Terje Vikan Statistical Division.
Copyright 2010, The World Bank Group. All Rights Reserved. Sources of Agricultural Data Section A 1.
Gender Statistics in the Labour Market Angela Me UNECE Statistics Division.
Employment Trendswww.ilo.org/trends Labour Market Indicators and the new MDG goals of full and productive employment and decent work for all Lawrence Jeff.
United Nations Economic Commission for Europe Statistical Division Economic Characteristics in the Census Questionnaire Angela Me, Chief Social and Demographic.
United Nations Economic Commission for Europe Statistical Division Incorporating Gender into Labour Statistics UNECE Statistical Division.
UNECE Statistical Division Employers and Own-account Workers in the UNECE Database Andres Vikat Workshop on Developing Entrepreneurship Statistics by Gender.
The project for developing the methodology of register- based censuses in Estonia Kristi Lehto Statistics Estonia Methodology and analysis department Senior.
By Kamal Saleh Director General Assistant Department of Statistics The Hashemite Kingdom of Jordan 1.
1 Labour mobility and trade in services through the movement of natural persons Contact: Agenda item.
United Nations Economic Commission for Europe Statistical Division Statistical framework to mainstream gender in economics Enrico Bisogno Meeting of experts.
Deriving labour force status in the register-based census Case of Slovenia UNECE Meeting on Censuses, Geneva, 2 October 2015 Danilo Dolenc.
Economic characteristics: Main changes to chapter CES 6 th Meeting: Experts on Population & Housing Censuses September 2014, Geneva, Switzerland.
WS Population Census 2004 UNECE Statistical Division METHODS USED TO COLLECT INFORMATION ON ECONOMIC CHARACTERISTICS IN THE ECE 2000 ROUND OF POPULATION.
Statistics Canada Statistics Canada Statistique Canada Statistique Canada Gender and economic statistics: Using available data Heather Dryburgh, Ph.D.
EMPLOYMENT AND EARNINGS James and Clayton. Topic of Interest Describes the economic status of all businesses in Canada (trends) Helps with determining.
United Nations Economic Commission for Europe Statistical Division Availability and Quality of Gender Statistics Angela Me UNECE Statistics Division.
European Socio-economic Classification: Operational Rules David Rose Institute for Social and Economic Research University of Essex.
Educational status and other dimensions of life – shining the light on some of the data Alan Mackay Director, Information Strategy The Group of Eight Limited.
1 1 Topics difficult to measure in a register-based census Harald Utne Census Project Statistics Norway UNECE-Eurostat Meeting on Population.
United Nations Workshop on Revision 3 of Principles and Recommendations for Population and Housing Censuses and Evaluation of Census Data, Amman 19 – 23.
Relation of Census of Agriculture with the Population and Housing Censuses.
Session 5: International Standard Classification of Status in Employment, 1993 (ICSE-93) David Hunter International Labour Office Department of Statistics.
United Nations Economic Commission for Europe Statistical Division The CES Recommendations as a basis for the Census Questionnaires Angela Me, Chief Social.
Labour force surveys for measuring employment in the informal sector and informal employment Ralf Hussmanns Head, Methodology and Analysis Unit Bureau.
1 Labour Data in the Agricultural Census Roundtable Meeting on Programme for the 2010 Round of Censuses of Agriculture Budapest, Hungary, November,
SUITLAND WORKING GROUP: Task Force on Improving Migration and Migrant Data Using Household Surveys and Other Sources Eric B. Jensen Population Division.
Census quality evaluation: Considerations from an international perspective Bernard Baffour and Paolo Valente UNECE Statistical Division Joint UNECE/Eurostat.
Measuring work and economic activity Workshop Title Location and Date.
Workshop on MDG, Bangkok, Jan.2009 MDG 3.2: Share of women in wage employment in the non-agricultural sector National and global data.
UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE
Gelendzhik, Russian Federation, October 2013
Concepts of industry, occupation and status in employment - Overview
LAMAS Working Group June 2015
Task Force on Cultural Employment.
European Socioeconomic Groups (ESeG) Agenda point 8
Presentation transcript:

Economic characteristics UNECE Task Force on economic and educational characteristics Geneva

Key results of the UNECE Survey TopicFully apply countries/totalPercent Economic activity15/4831 % -unemployed42/5180 % Status in employment33/4868 % Occupation46/4896% -ISCO082450% -ISCO881327% - National (compatible)1021% Industry39/4783% -ISIC rev.41736% -ISIC rev % - NACE rev2.1430%

First proposals of the revisions to the CES Census Recommendations by the UNECE Task Force Census information – Full enumeration – Areal dimension (small area statistics) – Not collected in some other survey Comparison between countries – other surveys – past and future censuses Reflecting the change of the society Fit for all types of census methodology – Possibility to use more registers and administrative data in the 2020 censuses in most countries

Activity status CurrentProposal TFILO 1.0 Economically active 1.0. Labour force 1.1 Employed 1.2 Unemployed, of which1.2 Unemployed Never worked before Not economically active 2.0. Outside labour force 2.1 Students 2.2 Pension or capital income recipients 2.3 Homemakers- 2.4 Others2.3. Others (incl. Homemakers)

Status in employment currentProposal TFILO 1.0 Employees 2.0 Self-employed 2.0 Employers2.1. Employers 3.0 Own-account workers2.2. Own-account workers 4.0 Contributing family workers 2.3. Other self-employed- 5.0 Members of producers’ co-operatives Contributing famlily workers 2.3 Contributing famlily workers 6.0. persons not classifiable by status Members of producers’ co-operatives (optional) 2.4 Menbers of producers’ co-operatives (optional) 3.0 Not stated/not applicable 3.0 Not stated/not applicable (not incl. ICSE-93)