methods, notes and classification Employed HRST by category, NACE Rev. 1.1 activity and NUTS 1 regions (1994 - 2007) methods, notes and classification

DATA_DESCR The Human Resources in Science and Technology (HRST)ádomain provides data on stocks andáflows (where flowsáin turn are divided intoájob-to-job mobility andáeducation inflows).Stocks and flows are the main statisticsáfor HRST. Their methodologies interlink and are therefore presented together in oneásingle metadata-file. This metadata-file is duplicatedáináthe structure of Eurostat'sáonline database, whileástatistics for stocks and flows are found in separate folders. Several breakdowns are available for stocks and flows indicators: age, region, sector of economic activity, occupation, educational attainment, fields of education, nationality and country of birth, although not all combinations are possible. The data on stocks and job-to-job mobility are obtained from the European Union Labour Force Survey (EU LFS). The National Statistical Institutes are responsible for conducting the surveys and forwarding the results to Eurostat. The data on education inflows are obtained from Eurostat's Education database and in turn obtained via the UNESCO/OECD/Eurostat questionnaire on education. The National Statistical Institutes are responsible for conducting the surveys, compiling the results and forwarding the results to Eurostat.

CLASS_SYSTEM HRST data on stock and flows are built based on the following standard classifications:NUTSISCO88ISCED97NACE Rev.2The definitions of employment and unemployment are the same as used in the primary data source EU LFSá(see EU LFS metadata under 21.2 and Annex 8 under 21.4). The regional breakdown of the EU Member States is based on the Nomenclature of Territorial Units for Statisticsá(NUTS). Data by sector are collected according to the Statistical classification of economic activities in the European Community - NACE. With the implementation of NACE Rev.2 in 2008áa duplication of tables showing data by sector was needed. Henceforth, a set of tables to present the new results by NACE Rev.2 was introduced covering the data from 2008 and onwards.áThe set of tables by NACE Rev.1.1 cover the period from 1994 to 2008. (See detailed description of NACE Rev.1.1 and NACE Rev.2 in Annex 9 under 21.4.) Data by occupation are based on the International Standard Classification of Occupation (ISCO). Data by field of education are based on the Eurostat manual on fields of education and training (1999) and educational attainment on theáInternational Standard Classification of Education (ISCED97).

STAT_CONC_DEF Stocks Stocks provide information on the number of HRST at a particular point in time. For HRST statistics, stock data relate to the employment status as well as the occupational and educational profiles of individuals ináany given year. An HRST stock is "the number of people at a particular point in time who fulfill the conditions of the definition of HRST". See 3.6 and Annex 1 under 21.3 for the conditions of HRST.á Breakdowns are given according to gender, age, region, sector of activity, occupation, educational attainment, field of educational study, nationality and country of birth. SeeáAnnex 3 under 21.3 for a detailed description of the HRST stock indicators and breakdowns. Further, see Annex 8-10 under 21.3 for information on employment, sector and fields of education definitions used in HRST and Annex 11 which details the approach used for statistics on international mobility. Job-to-job mobility Mobility in this context is defined as the movement of an individual between one job and another from one year to the next. It does not include inflows into the labour market from a situation of unemployment or inactivity. The rates are built up using information both on when the current job began and the working status of the person in question one year before the survey. People must fulfill the condition of belonging to HRST in both periods of time. Users should note that because of the definition referring to people employed in both years, as far as mobility is concerned the coverage will be narrower than overall HRST which also includes unemployed or inactive individuals with a third level education. SeeáAnnexá4 under 21.3 for a detailed description of the HRST mobility indicators and breakdowns. Education inflow This data contains the real (graduation) and potential (participation) inflows from the education system into the stocks of Human Resources in Science and Technology (HRST) at the national level. Students graduating at the ISCED 6 level should, however, already be counted as a part of the HRST stocks since enrolment in education at the ISCED level 6 normally requires a degree at the ISCED level 5. Breakdowns are given according to gender, selected fields of study. Foreign students (students with nationality other than the country in which they are studying) are included in total students but also separately accounted for.á Dataáare available as total number in thousands andátotal numbers set in relation to the population aged 20-25 or 20-29 .The conditions of the above educational requirements are considered according to the International Standard Classification of Education (ISCED). SeeáAnnexá5 under 21.3 for a detailed description of the HRST education inflow indicators and breakdowns.

STAT_UNIT Stocks and job-to-job mobility The observationáunits of measurement for which results are obtained from the EU LFS survey are individuals and households. The definition of a household varies somewhat from country to country but these differences are unlikely in the majority of cases to have a significant effect on the quality of the results. Education inflow Participants refer to the number of students enrolled during the reference period. Graduates are those who successfully completed an educational program during the reference year. One condition of a successful completion is that students should have enrolled in, and successfully completed, the final year of the corresponding educational program, although not necessarily in the year of reference.

STAT_POP Stocks Data examines the existing labour market stocks of HRST at national and regional levels. Unless otherwise stated, data are aggregated in line with the recommendations laid down in The Manual on the Measurement of Human Resources devoted to S&T (Canberra Manual) issued in 1995 by the OECD. HRST are people who fulfill one or other of the following conditions: have successfully completed a tertiary level education and/or; are not formally qualified as above but are employed in a S&T occupation where the above qualifications are normally required. The conditions of the above educational or occupational requirements are considered according to the internationally harmonised standards ISCED andáISCO. Eurostat does not include managers (ISCO 1) in the HRST population. Eurostatáexcludes anyone below the age of 15 or over the age of 74 from the HRST population so the HRST statistics are based on the age-group 15-74 years, but it is advisable to use the age-group 25-64 which is available in the HRST tables. For more information see Annex 1 under 21.3. Job-to-job mobility Mobility (job-to-job mobility) of employed HRST is built up by considering the number of HRST employed in the years t-1 and t, that have changed jobs during the twelve month period. It is expressed as a proportion of the total number of HRST employed in year t.Employed HRST are those people who have: successfully completed a tertiary education and are employed in any kind of job;á or are not formally qualified as above but employed in a S&T occupation where the above qualifications are normally required Education inflow The data covers annual real (graduation) and potential (participation) inflows from the education system into HRST at the national level, by gender, some domains of study relevant to science and technology and also according to the citizenship of the students. Those people graduating at the ISCED 6 level will, however, already be a part of the HRST stocks since ISCED 6 refers to advanced research for which it is necessary to have a first degree. The conditions of the above educational requirements are considered according to the International Standard Classification of Education (ISCED). For more information see Annex 2 under 21.3.

REF_AREA European Union Member States and availableáCandidate Countries and EFTA countries. Dataáare currently available at national leveláand regional level (NUTSálevels 1 and 2). Until 2003, data by NACE sector of economic activityáare unavailable in Poland at 2 digit level. As a result, dataáare only available for Poland when the all NACE sectorsáare selected. This also has an effect on the EU-27 aggregate. Until 2003, results for these aggregates are available only in 1000s when all NACE sectors are selected. Ratio results are available but have been calculated by excluding Poland. From 2004, data by sector became available in Poland at 2 digit level.

BASE_PER Not applicable

UNIT_MEASURE HRST statistics are shown in number of persons in 1000s. These numbers are also related to various populations like for example '% of active population or % of employed population'. For detailed information on which unit of measure is used for each HRST table see Annex 3-5 under 21.4.

    • Category
      • 0 Persons with tertiary education (ISCED) and/or employed in science and technology
      • 1 Persons with tertiary education (ISCED)
      • 2 Persons employed in science and technology
      • 3 Persons with tertiary education (ISCED) and employed in science and technology
      • 4 Scientists and engineers
    • Statistical classification of economic activities in the European Community (NACE Rev. 1.1)
      • 00 Total - all NACE activities
      • 01 Agriculture; fishing; mining and quarrying
      • 02 High-technology sectors (high-technology manufacturing and knowledge-intensive high-technology services)
      • 03 Manufacturing
      • 04 High and medium high-technology manufacturing (DG, DK, DL, DM34, DM35.2, DM35.3, DM35.4, DM35.5)
      • 05 High-technology manufacturing (DG24.4, DL30, DL32, DL33, DM35.3)
      • 06 Medium high-technology manufacturing (DG (except DG24.4); DK, DL31, DM34, DM35.2, DM35.4, DM35.5)
      • 07 Low and medium low-technology manufacturing (DA to DF, DH to DJ, DM35.1 and DN)
      • 08 Low-technology manufacturing (DA to DE and DN)
      • 09 Medium low-technology manufacturing (DF, DH to DJ and DM35.1)
      • 0a Electricity, gas and water supply; construction
      • 0b Services
      • 0c Total knowledge-intensive services
      • 0d Knowledge-intensive high-technology services (I64, K72 and K73)
      • 0e Knowledge-intensive market services (except financial intermediation and high-technology services)
      • 0f Other knowledge-intensive services
      • 0g Total less knowledge-intensive services
      • 0h Less knowledge-intensive market services
      • 0i Other less knowledge-intensive services
      • 0j Wholesale and retail trade; repair of motor vehicles, motorcycles and personal and household goods
      • 0k Hotels and restaurants
      • 0l Transport, storage and communication
      • 0m Financial intermediation
      • 0n Real estate, renting and business activities
      • 0o Public administration; extra-territorial organizations
      • 0p Education
      • 0q Health and social work
      • 0r Other service activities; activities of households
      • 0s Unknown NACE activity
    • Unit of measure
      • 00 Thousand
      • 01 Percentage of total employment
    • Geopolitical entity (reporting)
      • 000 European Union - 27 countries (from 2020)
      • 001 European Union - 28 countries (2013-2020)
      • 002 European Union - 15 countries (1995-2004)
      • 003 Euro area - 19 countries (2015-2022)
      • 004 Belgium
      • 005 Région de Bruxelles-Capitale/Brussels Hoofdstedelijk Gewest
      • 006 Vlaams Gewest
      • 007 Région wallonne
      • 008 Bulgaria
      • 009 Severna i Yugoiztochna Bulgaria
      • 00a Yugozapadna i Yuzhna tsentralna Bulgaria
      • 00b Czechia
      • 00c Česko
      • 00d Denmark
      • 00e Danmark
      • 00f Germany
      • 00g Baden-Württemberg
      • 00h Bayern
      • 00i Berlin
      • 00j Brandenburg
      • 00k Bremen
      • 00l Hamburg
      • 00m Hessen
      • 00n Mecklenburg-Vorpommern
      • 00o Niedersachsen
      • 00p Nordrhein-Westfalen
      • 00q Rheinland-Pfalz
      • 00r Saarland
      • 00s Sachsen
      • 00t Sachsen-Anhalt
      • 00u Schleswig-Holstein
      • 00v Thüringen
      • 00w Estonia
      • 00x Eesti
      • 00y Ireland
      • 00z Ireland
      • 010 Greece
      • 011 Attiki
      • 012 Nisia Aigaiou, Kriti
      • 013 Voreia Elláda
      • 014 Kentriki Elláda
      • 015 Spain
      • 016 Noroeste
      • 017 Noreste
      • 018 Comunidad de Madrid
      • 019 Centro (ES)
      • 01a Este
      • 01b Sur
      • 01c Canarias
      • 01d France
      • 01e Ile de France
      • 01f Centre — Val de Loire
      • 01g Bourgogne-Franche-Comté
      • 01h Normandie
      • 01i Hauts-de-France
      • 01j Grand Est
      • 01k Pays de la Loire
      • 01l Bretagne
      • 01m Nouvelle-Aquitaine
      • 01n Occitanie
      • 01o Auvergne-Rhône-Alpes
      • 01p Provence-Alpes-Côte d’Azur
      • 01q Corse
      • 01r RUP FR — Régions Ultrapériphériques Françaises
      • 01s Croatia
      • 01t Hrvatska
      • 01u Italy
      • 01v Nord-Ovest
      • 01w Sud
      • 01x Isole
      • 01y Nord-Est
      • 01z Centro (IT)
      • 020 Cyprus
      • 021 Kýpros
      • 022 Latvia
      • 023 Latvija
      • 024 Lithuania
      • 025 Lietuva
      • 026 Luxembourg
      • 027 Luxembourg
      • 028 Hungary
      • 029 Közép-Magyarország
      • 02a Dunántúl
      • 02b Alföld és Észak
      • 02c Malta
      • 02d Malta
      • 02e Netherlands
      • 02f Noord-Nederland
      • 02g Oost-Nederland
      • 02h West-Nederland
      • 02i Zuid-Nederland
      • 02j Austria
      • 02k Ostösterreich
      • 02l Südösterreich
      • 02m Westösterreich
      • 02n Poland
      • 02o Makroregion południowy
      • 02p Makroregion północno-zachodni
      • 02q Makroregion południowo-zachodni
      • 02r Makroregion północny
      • 02s Makroregion centralny
      • 02t Makroregion wschodni
      • 02u Makroregion województwo mazowieckie
      • 02v Portugal
      • 02w Continente
      • 02x Região Autónoma dos Açores
      • 02y Região Autónoma da Madeira
      • 02z Romania
      • 030 Macroregiunea Unu
      • 031 Macroregiunea Doi
      • 032 Macroregiunea Trei
      • 033 Macroregiunea Patru
      • 034 Slovenia
      • 035 Slovenija
      • 036 Slovakia
      • 037 Slovensko
      • 038 Finland
      • 039 Manner-Suomi
      • 03a Åland
      • 03b Sweden
      • 03c Östra Sverige
      • 03d Södra Sverige
      • 03e Norra Sverige
      • 03f Iceland
      • 03g Ísland
      • 03h Norway
      • 03i Norge
      • 03j Switzerland
      • 03k Schweiz/Suisse/Svizzera
      • 03l United Kingdom
      • 03m North East (UK) (NUTS 2021)
      • 03n North West (UK) (NUTS 2021)
      • 03o Yorkshire and The Humber (NUTS 2021)
      • 03p East Midlands (UK) (NUTS 2021)
      • 03q West Midlands (UK) (NUTS 2021)
      • 03r East of England (NUTS 2021)
      • 03s London (NUTS 2021)
      • 03t South East (UK) (NUTS 2021)
      • 03u South West (UK) (NUTS 2021)
      • 03v Wales (NUTS 2021)
      • 03w Scotland (NUTS 2021)
      • 03x Northern Ireland (UK) (NUTS 2021)
      • 03y North Macedonia
      • 03z Severna Makedonija
      • 040 Türkiye
      • 041 İstanbul
      • 042 Batı Marmara
      • 043 Ege
      • 044 Doğu Marmara
      • 045 Batı Anadolu
      • 046 Akdeniz
      • 047 Orta Anadolu
      • 048 Batı Karadeniz
      • 049 Doğu Karadeniz
      • 04a Kuzeydoğu Anadolu
      • 04b Ortadoğu Anadolu
      • 04c Güneydoğu Anadolu