ICT Statistics at the New Millennium – Developing Official Statistics – Measuring the Diffusion of ICT and Its Impacts
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UNWTO/DG GROW Workshop Measuring the Economic Impact Of
UNWTO/DG GROW Workshop Measuring the economic impact of tourism in Europe: the Tourism Satellite Account (TSA) Breydel building – Brey Auditorium Avenue d'Auderghem 45, B-1040 Brussels, Belgium 29-30 November 2017 LIST OF PARTICIPANTS Title First name Last name Institution Position Country EU 28 + COSME COUNTRIES State Tourism Committee of the First Vice Chairman of the State Tourism Mr Mekhak Apresyan Armenia Republic of Armenia Committee of the Republic of Armenia Trade Representative of the RA to the Mr Varos Simonyan Trade Representative of the RA to the EU Armenia EU Head of balance of payments and Ms Kristine Poghosyan National Statistical Service of RA Armenia foreign trade statistics division Mr Gagik Aghajanyan Central Bank of the Republic of Armenia Head of Statistics Department Armenia Mr Holger Sicking Austrian National Tourist Office Head of Market Research Austria Federal Ministry of Science, Research Ms Angelika Liedler Head of International Tourism Affairs Austria and Economy Department of Tourism, Ministry of Consultant of Planning and Organization Ms Liya Stoma Sports and Tourism of the Republic of Belarus of Tourism Activities Division Belarus Ms Irina Chigireva National Statistical Committee Head of Service and Domestic Trade Belarus Attachée - Observatoire du Tourisme Ms COSSE Véronique Commissariat général au Tourisme Belgium wallon Mr François VERDIN Commissariat général au Tourisme Veille touristique et études de marché Belgium 1 Title First name Last name Institution Position Country Agency for statistics of Bosnia -
Celebrating the Establishment, Development and Evolution of Statistical Offices Worldwide: a Tribute to John Koren
Statistical Journal of the IAOS 33 (2017) 337–372 337 DOI 10.3233/SJI-161028 IOS Press Celebrating the establishment, development and evolution of statistical offices worldwide: A tribute to John Koren Catherine Michalopouloua,∗ and Angelos Mimisb aDepartment of Social Policy, Panteion University of Social and Political Sciences, Athens, Greece bDepartment of Economic and Regional Development, Panteion University of Social and Political Sciences, Athens, Greece Abstract. This paper describes the establishment, development and evolution of national statistical offices worldwide. It is written to commemorate John Koren and other writers who more than a century ago published national statistical histories. We distinguish four broad periods: the establishment of the first statistical offices (1800–1914); the development after World War I and including World War II (1918–1944); the development after World War II including the extraordinary work of the United Nations Statistical Commission (1945–1974); and, finally, the development since 1975. Also, we report on what has been called a “dark side of numbers”, i.e. “how data and data systems have been used to assist in planning and carrying out a wide range of serious human rights abuses throughout the world”. Keywords: National Statistical Offices, United Nations Statistical Commission, United Nations Statistics Division, organizational structure, human rights 1. Introduction limitations to this power. The limitations in question are not constitutional ones, but constraints that now Westergaard [57] labeled the period from 1830 to seemed to exist independently of any formal arrange- 1849 as the “era of enthusiasm” in statistics to indi- ments of government.... The ‘era of enthusiasm’ in cate the increasing scale of their collection. -
Annex 3: Sources, Methods and Technical Notes
Annex 3 EAG 2007 Education at a Glance OECD Indicators 2007 Annex 3: Sources 1 Annex 3 EAG 2007 SOURCES IN UOE DATA COLLECTION 2006 UNESCO/OECD/EUROSTAT (UOE) data collection on education statistics. National sources are: Australia: - Department of Education, Science and Training, Higher Education Group, Canberra; - Australian Bureau of Statistics (data on Finance; data on class size from a survey on Public and Private institutions from all states and territories). Austria: - Statistics Austria, Vienna; - Federal Ministry for Education, Science and Culture, Vienna (data on Graduates); (As from 03/2007: Federal Ministry for Education, the Arts and Culture; Federal Ministry for Science and Research) - The Austrian Federal Economic Chamber, Vienna (data on Graduates). Belgium: - Flemish Community: Flemish Ministry of Education and Training, Brussels; - French Community: Ministry of the French Community, Education, Research and Training Department, Brussels; - German-speaking Community: Ministry of the German-speaking Community, Eupen. Brazil: - Ministry of Education (MEC) - Brazilian Institute of Geography and Statistics (IBGE) Canada: - Statistics Canada, Ottawa. Chile: - Ministry of Education, Santiago. Czech Republic: - Institute for Information on Education, Prague; - Czech Statistical Office Denmark: - Ministry of Education, Budget Division, Copenhagen; - Statistics Denmark, Copenhagen. 2 Annex 3 EAG 2007 Estonia - Statistics office, Tallinn. Finland: - Statistics Finland, Helsinki; - National Board of Education, Helsinki (data on Finance). France: - Ministry of National Education, Higher Education and Research, Directorate of Evaluation and Planning, Paris. Germany: - Federal Statistical Office, Wiesbaden. Greece: - Ministry of National Education and Religious Affairs, Directorate of Investment Planning and Operational Research, Athens. Hungary: - Ministry of Education, Budapest; - Ministry of Finance, Budapest (data on Finance); Iceland: - Statistics Iceland, Reykjavik. -
Web-Sites of National Statistical Offices
Web-sites of National Statistical Offices Afghanistan Central Statistics Organization Albania Statistical Institute Argentina National Institute for Statistics and Census Armenia National Statistical Service of the Republic of Armenia Aruba Central Bureau of Statistics Australia Australian Bureau of Statistics Austria National Statistical Office of Austria Azerbaijan State Statistical Committee of Azerbaijan Republic Belarus Ministry of Statistics and Analysis Belgium National Institute of Statistics Belize Statistical Institute Benin National Statistics Institute Bolivia National Statistics Institute Botswana Central Statistics Office Brazil Brazilian Institute of Statistics and Geography Bulgaria National Statistical Institute Burkina Faso National Statistical Institute Cambodia National Institute of Statistics Cameroon National Institute of Statistics Canada Statistics Canada Cape Verde National Statistical Office Central African Republic General Directorate of Statistics and Economic and Social Studies Chile National Statistical Institute of Chile China National Bureau of Statistics Colombia National Administrative Department for Statistics Cook Islands Statistics Office Costa Rica National Statistical Institute Côte d'Ivoire National Statistical Institute Croatia Croatian Bureau of Statistics Cuba National statistical institute Cyprus Statistical Service of Cyprus Czech Republic Czech Statistical Office Denmark Statistics Denmark Dominican Republic National Statistical Office Ecuador National Institute for Statistics and Census Egypt -
Quality Work Within Statistics
▲ EDITION 1999 Quality Work and Quality Assurance within Statistics EUROPEAN THEME 0 COMMISSION 0Miscellaneous 2 FOREWORD Statistics & quality go hand-in-hand Quality of statistics was the theme of the annual conference of presidents and directors-general of the national sta- tistical institutes (NSIs) of EU and EEA countries, organised in Stockholm on 28-29 May 1998 by Statistics Sweden in collaboration with Eurostat. Quality has always been one of the obvious requirements of statistics, although the notion of 'quality' has changed over the years. Nowadays a statistical 'product' has to exhibit reliability, relevance of concept, promptness, ease of access, clarity, comparability, consistency and exhaustiveness. While all these features form part of the whole prod- uct, individual users will attach more or less importance to each one. When statistics - gross domestic product or inflation, for example - have a financial impact, accuracy and comparability are vital. But if the same data are being used by someone interested in short-term trends, then the speed with which they are made available is the key feature. It is for users to decide. They are the people who determine quality criteria. Statisticians are no longer 'number freaks' in a world of their own, but have become managers of statistics, in constant touch with those who make decisions. Such a transformation is possible only if the whole production process is ready for change, because, as a rule, sci- entists such as statisticians tend not to pay much attention to the needs of people outside their own world. Scientists prefer to talk to other scientists. Now that the need for change is understood, how to bring it about? This question is being addressed by most of those in charge of national statistical institutes. -
Women and Men in Iceland 2018
Influence and Power Wages and Income Women as percentage of candidates and elected members in % parliamentary elections 1987–2017 % The unadjusted gender pay gap 2008–2016 Women and Men 60 25 in Iceland 2018 50 20 15 40 Population 10 30 Population by sex and age 1950 and 2017 Age 5 20 100 Women Men 90 0 2017: 167,316 2017: 171,033 10 2008 2009 2010 2011 2012 2013 2014 2015 2016 80 Total Full-time 70 0 Note: (Men´s hourly earnings - women´s hourly earnings)/men´s hourly earnings. Overtime payments and overtime 1987 1991 1995 1999 2003 2007 2009 hours are included in the GPG. The gender pay gap indicator has been dened as unadjusted i.e. not adjusted 2013 2016 2017 60 according to individual characteristics that may explain part of the earnings like occupation, education, age, years 2017 Candidates Elected members with employer etc. 50 Women´s share of leadership in enterprises by size of Average income from work by region 2016 40 Million ISK 1950 % enterprise 2016 30 60 7 1950 20 50 6 10 40 5 0 4 30 3,000 2,000 1,000 0 1,000 2,000 3,000 3 6.4 20 5.9 2 4.8 Population 2016 10 4.0 1 0 Women Men 1– 49 50– 99 100– 249 250+ 0 Number of employees Women Men Women Men Mean population 166,288 169,152 Capital region Other regions Managers Chairpersons Board of directors 0–14 years, % 20 20 Note: Annual wages and other work related income of those who have some income from work. -
Guide to Foreign Statistical Abstracts
Guide to Foreign Statistical Abstracts This bibliography presents recent statistical abstracts for member nations of the Organi- zation for Economic Cooperation and Development and Russia. All sources contain statistical tables on a variety of subjects for the individual countries. Many of the following publications provide text in English as well as in the national language(s). For further information on these publications, contact the named statistical agency which is responsible for editing the publication. Australia France Australian Bureau of Statistics, Canberra. Institut National de la Statistique et des <http://www.abs.gov.au>. Etudes Economiques, Paris 18, Bld. Year Book Australia. Annual. 2007. Adolphe Pinard, 75675 Paris (Cedex 14). With CD-ROM. (In English.) <http://www.insee.fr/fr/home/home _page.asp>. Austria Annuaire Statistique de la France. Statistik Austria, 1110 Wien. Annual. 2003. (In French.) 2005. <http://www.statistik.at/index.shtml>. CD-ROM only. Statistisches Jahrbuch Osterreichs. Annual. 2008. With CD-ROM. Germany (In German.) With English translations of Statistische Bundesamt, D-65180 table headings. Wiesbaden. <http://www.destatis.de>. Statistisches Jahrbuch fur die Bundesre- Belgium public Deutschland. Annual. 2006. Institut National de Statistique, Rue de (In German.) Louvain; 44-1000 Bruxelles. Statistisches Jahrbuch fur das Ausland. <http://statbel.fgov.be/info/links_en.asp>. 2005. Statistisches Jahrbuch 2006 Fur Annuaire statistique de la Belgique. die Bundesreublik Deutschland und fur Annual. 1995. (In French.) das Ausland CDROM. Canada Greece Statistics Canada, Ottawa, Ontario, KIA National Statistical Service of Greece, OT6. <http://www.statcan.ca/start.html>. Athens. <http:// www.statistics.gr/>. Canada Yearbook: A review of economic, Concise Statistical Yearbook 2006. -
Sources and Data Description
OECD Regions and Cities at a Glance 2018 © OECD 2018 ANNEX B Sources and data description User guide: List of variables Variables used Page Chapter(s) Area 144 2 Business demography, births and deaths of enterprises 144 1 Employment at place of work and gross value added by industry 145 1 Foreign-born (migrants) 145 4 Gross domestic product (GDP) 146 1 Homicides 147 2 Household disposable income 148 2, 4 Households with broadband connection 149 2 Housing expenditures as a share of household disposable income 150 2 Income segregation in cities 151 4 Labour force, employment at place of residence by gender, unemployment 152 2 Labour force by educational attainment 152 2 Life expectancy at birth, total and by gender 153 2 Metropolitan population 154 4 Motor vehicle theft 155 2 Patents applications 155 1 PM2.5 particle concentration 155 2, 4 Population mobility among regions 156 3 Population, total, by age and gender 157 3 R&D expenditure and R&D personnel 158 1 Rooms per person (number of) 159 2 Subnational government expenditure, revenue, investment and debt 160 5 Voter turnout 160 2 Note on Israel: The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of international law. 143 ANNEX B Area Country Source EU24 countries1 Eurostat: General and regional statistics, demographic statistics, population and area Australia Australian Bureau of Statistics (ABS), summing up SLAs Canada Statistics Canada http://www12.statcan.ca/english/census01/products/standard/popdwell/Table-CD-P. -
Sources and Data Description
ANNEX B ANNEX B Sources and data description User guide: List of variables Variables used Page Chapter(s) Area 147 2 Age-adjusted mortality rates based on mortality data 148 1 Death rates due to diseases of the respiratory system 148 1 Employment at place of work and gross value added by industry 149 2 Gini index of household disposable income 149 1 Gross domestic product (GDP) 150 2 Homicides 151 1 Hospital beds 152 4 Household disposable income 153 1 Households with broadband connection 154 4 Housing expenditures as a share of household disposable income 155 1 Individuals with unmet medical needs 155 1 Labour force, employment at place of residence by gender, unemployment, total and growth 156 1 and 2 Labour force by educational attainment 158 1 Life expectancy at birth, total and by gender 159 1 Life satisfaction 159 1 Local governments in metropolitan areas 160 2 Metropolitan population, total and by age 161 2 Motor vehicle theft 162 1 Municipal waste and recycled waste 163 4 Number of rooms per person 163 1 Part-time employment 164 4 Perception of corruption 164 1 PCT patent and co-patent applications, total and by sector 165 2 Physicians 165 4 PM2.5 particle concentration 166 1 Population, total, by age and gender 166 2 Population mobility among regions 167 4 R&D expenditure 169 2 R&D personnel 170 2 Social network support 170 1 Subnational government expenditure, revenue, investment and debt 171 3 Voter turnout 171 1 Young population neither in employment nor in education or training 172 4 Youth unemployment 173 4 The tables refer to the years and territorial levels used in this publication. -
2020 Iceland Country Report | SGI Sustainable Governance Indicators
Iceland Report Gretar Þór EyÞórsson, Thorvaldur Gylfason, Detlef Jahn (Coordinator) Sustainable Governance Indicators 2020 © vege - stock.adobe.com Sustainable Governance SGI Indicators SGI 2020 | 2 Iceland Report Executive Summary The cabinet coalition formed after the October 2017 elections between the Left-Green Movement, the Independence Party and the Progressive Party is still in office. The prime minister is Katrín Jakobsdóttir, leader of the Left- Green Movement. Following a period of considerable political turbulence, which included three parliamentary elections in four years (2013, 2016 and 2017), things have stabilized. After limited strikes in early spring 2019, Efling, the Store and Office Workers’ Union (VR), and the Federation of General and Special Workers (SGS) signed a collective agreement with the Confederation of Icelandic Enterprise (SA) in April 2019. The agreement will expire on 1 November 2022. Members of the Efling and VR trade unions, and members of trade unions belonging to SGS approved the collective agreements. The contract applies to more than 100,000 members of 30 different unions. At the time of writing, excluding another agreement signed in mid-October 2019 between five unions and the Icelandic Confederation of University Graduates (BHM), no other unions have signed contracts. In March 2019, one of the two largest Icelandic airlines, WOW air, declared bankruptcy and ceased operations. This led to 1,500 people immediately losing their jobs. Six months later, 300 to 400 of them are still without jobs. Though the overall impact of this bankruptcy has not been as large as initially feared. In response, the other Icelandic airline, Icelandair, has increased its passenger capacity. -
Sources and Data Description
ANNEX B ANNEX B Sources and data description User guide: List of variables Variables used Page Area 166 Carbon dioxide (CO2) emissions 166 Concentration of PM10 particles 166 Concentration of NO2 167 Employment and gross value added by industry 167 Employment at place of work 168 Gross domestic product (GDP) 169 Infant mortality 170 Labour force, employment at place of residency, unemployment; total and by gender 171 Labour force by educational attainment 172 Land cover and changes 172 Life expectancy, total and by gender 173 Local governments in metropolitan areas 174 Long-term unemployment 175 Mortality rates due to transport accidents 175 Motor vehicle theft 176 Municipal waste and recycled waste 177 Net ecosystem productivity (NEP) 177 Number of cars 178 Number of murders 179 Number of hospital beds 180 Number of physicians 181 Part-time employment 182 PCT patent applications, total and by sector; PCT co-patent applications 182 Population; total, by age and gender 183 Population in functional urban areas 184 Population mobility among regions 185 Primary and disposable income of households 186 R&D expenditure 187 R&D personnel 188 Scientific publications and citations 188 Subnational government expenditure, revenue and debt 189 Young population neither in employment nor in education or training 189 Youth unemployment 190 The tables refer to the years and territorial levels used in this publication. The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of international law. -
Statistics and EMU 1
The bulletin of European statistics SIGMA¿.í=-x k\ i tm Λ <■■■>, tn) w^wk À β ƒ ΜΜ^^^^^^ΕΒ^Τ To Ο HE^ES^H ^&——. ■Bl *5Jg&'. ^^H I 311 WU^r¡ ■■ ¿1 ■ρ Él·* ^¡kìi. ^ά •jr ω ma =E2 Statistical OTFTc e European Communities SIGMA SUMMER 1995 n ,k( \. - >Uillc.|·· Managing editor Fernando de Esteban Chief editor Daniel Byk Editorial adviser John Wright Editor Jean Drappier Published by Office for Official Publications of the European Communities Layout Made by Sams - Luxembourg Catalogue number CA-AB-95-003-EN-C One area where Statistics Finland reckon they are © ECSC-EC-EAEC Brussels · Luxembourg 1995 ahead of other Member States is register statistics. Printed in Luxembourg Their statistical system uses 33 administrative regis• Views expressed in Sigma are those of the authors, not necessarily those of the ters. Pictured here is the man in charge, Pekka European Commission Myrskyla. The Finns are also producers of high-qual• Sigma is available free of charge from: Eurostat ity publicity material for their statistics, which explains Press & Communications Team Room B3/079 the background to the picture. See Page 26 for our Jean Monnet Building L-2920 Luxembourg special feature on Statistics Finland. Tel 352 4301 33012/34654 SIGMA Summer 1995 CONTENTS Sigma comment The acid test for European statistics by Yves-Thibault de Silguy Sigma theme Focus on CMFB Statistics and EMU 1. A key player by Alberto De Michelis 4 2. EMU 'the only way to go' Jean Drappier interviews Wolfgang Duchatczek 8 3. Don't mix apples and pears John Kidgell in conversation