methods, notes and classification Third country nationals ordered to leave - annual data (rounded) methods, notes and classification

DATA_DESCR This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) and total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by type of economic activity (NACE), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2000 prices (MIO_PPS_KP00), Purchasing Power Standard per inhabitant at constant 2000 prices (PPS_KP00_HAB), Percentage of GDP (PC_GDP). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE) and by regions (NUTS 2). More details on breakdowns, derivations and different units available are found in the Eurostat indicators on R&D (See annex at the bottom of the page). R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea.- Country groups: EU-27, EU-15 and EA-17. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 (See annex at the bottom of the page).

CLASS_SYSTEM R&D statistics are compiled in line with international statistical classifications such as ISIC, NACE, FOS, ISCED and NABS and are to some extent adapted to the system of national accounts (SNA) according to the FM recommendations (See annex at the bottom of the page). In addition to the FM recommendations (See annex at the bottom of the page), regional breakdown for EU Member States, Candidate Countries and EFTA countries are complied following the Regional Dimension of R&D and Innovation Statistics - Regional Manual, European Commission, 2003 (See annex at the bottom of the page). and the Nomenclature of Territorial Units for Statistics, NUTS, Eurostat. The regional breakdown of the EU Member States is based on the Nomenclature of Territorial Units for Statisticsá(NUTS).

STAT_CONC_DEF "Research and experimental development (R&D) comprise creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of man, culture and society and the use of this stock of knowledge to devise new applications." (º 57, Frascati Manual, OECD 2002 - See annex at the bottom of the page). Eurostat statistics on R&D expenditure and personnel are compiled using the guidelines laid out in the Frascati Manualá- (See annex at the bottom of the page), the "Proposed standard practice for surveys of research and experimental development", which in its latest version was published in 2002, by the OECD. Eurostat online tables and data contain R&D expenditure and personnel broken down by different classifications. The main breakdown of R&D statistics is by four institutional sectors of performance. These four sectors of performance are the business enterprise sector (BES), the government sector (GOV), the higher education sector (HES) and the private non-profit sector (PNP). Gross domestic expenditure on R&D (GERD) is consequently composed of: Business enterprise expenditure on R&D (BERD), Higher Education expenditure on R&D (HERD), Government expenditure on R&D (GOVERD) and Private Non-profit expenditure on R&D (PNPRD). Additional breakdowns of R&D expenditure available are: by source of funds, by fields of science, by type of costs, byáeconomic activity (NACE), by size class, by type of R&D, by socio-economic objectives and by regions (NUTS 2). Basic data on R&D personnel are expressed as head count (HC) and full time equivalents (FTE). Total national R&D personnel is obtained by summing up the R&D personnel employed in the four different sectors of performance. Additional breakdowns of R&D personnel available are: by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, type of economic activity (NACE)áand by regions (NUTS 2). More details on breakdowns, derivations and different units available are found in the Eurostat indicators on R&D (See annex at the bottom of the page). Main methodological references and definitions are available through methodological references (See annex at the bottom of the page).

STAT_UNIT Statistical units used in the national R&D surveys vary according to country and the sector surveyed. In the business enterprise sector (BES) the statistical unit often consists of the legal business entity. Sometimes, if R&D activity can be subdivided, the statistical unit consists of the economic activity unit. The statistical unit in the government sector (GOV) should according to FM recommendations (See annex at the bottom of the page)ábe similar to the legal entities in the BES. Examples of such statistical units are departments and establishments of the government, as well as other public bodies, institutes and non-profit organisations which are financed by central or local governments. Legal entity is also the recommended statistical unit for the Private Non-Profit (PNP) sector, which includes non-market private institutions, households and private individuals. If such an entity has significant R&D activity in more than one field of science an attempt is made to split the entity into smaller units according to the relevant major fields. Since a legal entity type of unit in the higher education sector (HES) often is involved in more than one major field of science a smaller statistical unit is normally appropriate. The FM (See annex at the bottom of the page) (º 225, 2002-version) recommends as a statistical unit "the smallest homogenous unit predominantly involved in one of the six fields and for which a complete (or almost complete) set of factor input data can be obtained". Departments, faculties, colleges, university hospitals or clinics, research institutes and centres, are examples of statistical units chosen for this sector.

STAT_POP The population surveyed varies according to the institutional sectors. In the business enterprises sector (BES), countries usually survey, by census or by sample, businesses that are known to perform R&D or to be potential R&D performers. In the other sectors, the government sector (GOV) and the higher education sector (HES), all entities are generally surveyed.

REF_AREA R&D statistics are currently available for EU Member States and Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. Regional R&D statistics is normally available for EU Member States, Candidate and EFTA countries. Besides national and regional statistics Eurostat calculates and disseminates aggregates at the EU-and Euro-area-levels (EU-27, EU-15 and EA-17).

BASE_PER The base year for the unit Purchasing Power Standard (PPS) and PPS per inhabitant at constant prices is currently 2000. All calculations of non-basic unit (national currencies) are done by Eurostat.

UNIT_MEASURE R&D expenditure is available in the following units: National currency (MIO_NAC), Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2000 prices (MIO_PPS_KP00), Purchasing Power Standard per inhabitant at constant 2000 prices (PPS_KP00_HAB), Percentage of GDP (PC_GDP). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force.

    • Country of citizenship
      • 000 Croatia
      • 001 United Kingdom
      • 002 British overseas countries and territories
      • 003 Bosnia and Herzegovina
      • 004 Montenegro
      • 005 Moldova
      • 006 North Macedonia
      • 007 Georgia
      • 008 Albania
      • 009 Serbia
      • 00a Türkiye
      • 00b Ukraine
      • 00c Kosovo*
      • 00d Andorra
      • 00e Belarus
      • 00f Holy See
      • 00g Monaco
      • 00h Russia
      • 00i San Marino
      • 00j Angola
      • 00k Cameroon
      • 00l Central African Republic
      • 00m Chad
      • 00n Congo
      • 00o Democratic Republic of the Congo
      • 00p Equatorial Guinea
      • 00q Gabon
      • 00r São Tomé and Príncipe
      • 00s Burundi
      • 00t Comoros
      • 00u Djibouti
      • 00v Eritrea
      • 00w Ethiopia
      • 00x Kenya
      • 00y Madagascar
      • 00z Malawi
      • 010 Mauritius
      • 011 Mozambique
      • 012 Rwanda
      • 013 Seychelles
      • 014 Somalia
      • 015 Uganda
      • 016 Tanzania
      • 017 Zambia
      • 018 Zimbabwe
      • 019 Algeria
      • 01a Egypt
      • 01b Libya
      • 01c Morocco
      • 01d South Sudan
      • 01e Sudan
      • 01f Tunisia
      • 01g Western Sahara
      • 01h Botswana
      • 01i Lesotho
      • 01j Namibia
      • 01k South Africa
      • 01l Eswatini
      • 01m Benin
      • 01n Burkina Faso
      • 01o Cabo Verde
      • 01p Côte d’Ivoire
      • 01q Gambia, The
      • 01r Ghana
      • 01s Guinea
      • 01t Guinea-Bissau
      • 01u Liberia
      • 01v Mali
      • 01w Mauritania
      • 01x Niger
      • 01y Nigeria
      • 01z Senegal
      • 020 Sierra Leone
      • 021 Togo
      • 022 Canada
      • 023 United States
      • 024 Antigua and Barbuda
      • 025 Bahamas
      • 026 Barbados
      • 027 Cuba
      • 028 Dominica
      • 029 Dominican Republic
      • 02a Grenada
      • 02b Haiti
      • 02c Jamaica
      • 02d Saint Kitts and Nevis
      • 02e Saint Lucia
      • 02f Saint Vincent and the Grenadines
      • 02g Trinidad and Tobago
      • 02h Belize
      • 02i Costa Rica
      • 02j El Salvador
      • 02k Guatemala
      • 02l Honduras
      • 02m Mexico
      • 02n Nicaragua
      • 02o Panama
      • 02p Argentina
      • 02q Bolivia
      • 02r Brazil
      • 02s Chile
      • 02t Colombia
      • 02u Ecuador
      • 02v Guyana
      • 02w Paraguay
      • 02x Peru
      • 02y Suriname
      • 02z Uruguay
      • 030 Venezuela
      • 031 Asia
      • 032 Kazakhstan
      • 033 Kyrgyzstan
      • 034 Tajikistan
      • 035 Turkmenistan
      • 036 Uzbekistan
      • 037 China
      • 038 Japan
      • 039 Mongolia
      • 03a North Korea
      • 03b South Korea
      • 03c Taiwan
      • 03d Afghanistan
      • 03e Bangladesh
      • 03f Bhutan
      • 03g India
      • 03h Iran
      • 03i Maldives
      • 03j Nepal
      • 03k Pakistan
      • 03l Sri Lanka
      • 03m Brunei Darussalam
      • 03n Cambodia
      • 03o Indonesia
      • 03p Laos
      • 03q Malaysia
      • 03r Myanmar/Burma
      • 03s Philippines
      • 03t Singapore
      • 03u Thailand
      • 03v Timor-Leste
      • 03w Viet Nam
      • 03x Armenia
      • 03y Azerbaijan
      • 03z Bahrain
      • 040 Iraq
      • 041 Israel
      • 042 Jordan
      • 043 Kuwait
      • 044 Lebanon
      • 045 Palestine*
      • 046 Oman
      • 047 Qatar
      • 048 Saudi Arabia
      • 049 Syria
      • 04a United Arab Emirates
      • 04b Yemen
      • 04c Australia
      • 04d New Zealand
      • 04e Fiji
      • 04f Papua New Guinea
      • 04g Solomon Islands
      • 04h Vanuatu
      • 04i Kiribati
      • 04j Marshall Islands
      • 04k Federated States of Micronesia
      • 04l Nauru
      • 04m Palau
      • 04n Cook Islands
      • 04o Samoa
      • 04p Tonga
      • 04q Tuvalu
      • 04r Recognised non-citizens
      • 04s Stateless
      • 04t Total
      • 04u Unknown
    • Age class
      • 00 Total
      • 01 Less than 14 years
      • 02 From 14 to 17 years
      • 03 Less than 18 years
      • 04 From 18 to 34 years
      • 05 35 years or over
      • 06 Unknown
    • Sex
      • 0 Total
      • 1 Males
      • 2 Females
      • 3 Unknown
    • Unit of measure
      • 00 Person
    • Geopolitical entity (reporting)
      • 000 European Union - 27 countries (from 2020)
      • 001 Belgium
      • 002 Bulgaria
      • 003 Czechia
      • 004 Denmark
      • 005 Germany
      • 006 Estonia
      • 007 Ireland
      • 008 Greece
      • 009 Spain
      • 00a France
      • 00b Croatia
      • 00c Italy
      • 00d Cyprus
      • 00e Latvia
      • 00f Lithuania
      • 00g Luxembourg
      • 00h Hungary
      • 00i Malta
      • 00j Netherlands
      • 00k Austria
      • 00l Poland
      • 00m Portugal
      • 00n Romania
      • 00o Slovenia
      • 00p Slovakia
      • 00q Finland
      • 00r Sweden
      • 00s Iceland
      • 00t Liechtenstein
      • 00u Norway
      • 00v Switzerland
      • 00w United Kingdom
      • 00x Montenegro