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Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Note: No further updates planned by source Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Jobs Publication: https://datacatalog.worldbank.org/dataset/jobs License: http://creativecommons.org/licenses/by/4.0/   The World Bank Jobs Statistics Over 150 indicators on labor-related topics, covering over 200 economies from 1990 to present.

Data cited at:  The African Development Bank: Dataset name: Country Policy and Institutional Assessment (CPIA) - https://cpia.afdb.org/?page=data

The Grant Thornton Global Dynamism Index (GDI) ranks 60 leading economies on their dynamism in five key areas – business operating environment, economics & growth, science & technology, labour & human capital and financing environment. The GDI analyses 22 indicators across these five categories to assess the dynamism of business growth environments around the world, where dynamism refers to the changes in an economy over the past 12 months which are likely to lead to a faster future rate of growth.

The GEM Adult Population Survey (APS) measures the level and nature of entrepreneurial activity around the world. It is administered to a representative national sample of at least 2000 respondents. The Global Entrepreneurship Monitor is the world's foremost study of entrepreneurship. Through a vast, centrally coordinated, internationally executed data collection effort, GEM is able to provide high quality information, comprehensive reports and interesting stories, to enhance the understanding of the entrepreneurial phenomenon.

Data cited at:  GEM National Expert Survey The GEM National Expert Survey (NES) monitors the factors that are believed to have a significant impact on entrepreneurship, known as the Entrepreneurial Framework Conditions (EFCs). It is administered to a minimum of 36 carefully chosen 'experts' in each country. The Global Entrepreneurship Monitor is the world's foremost study of entrepreneurship. Through a vast, centrally coordinated, internationally executed data collection effort, GEM is able to provide high quality information, comprehensive reports and interesting stories, to enhance the understanding of the entrepreneurial phenomenon.

Data cited at: Heritage Foundation   Economic freedom is the fundamental right of every human to control his or her own labor and property. In an economically free society, individuals are free to work, produce, consume, and invest in any way they please, with that freedom both protected by the state and unconstrained by the state. In economically free societies, governments allow labor, capital and goods to move freely, and refrain from coercion or constraint of liberty beyond the extent necessary to protect and maintain liberty itself. Economic Freedom Scores: Range and level of freedom 80–100:- Free 70–79.9:- Mostly Free 60–69.9:- Moderately Free 50–59.9:- Mostly Unfree 0–49.9:- Repressed

The 2022 IPRI classifies 129 countries, representing 93.91% of the world population and 97.73% of the global GDP. The selection of countries was determined solely by the availability of sufficient data. The results continue to suggest that countries with high scores on the IPRI and its components also show high levels of income and development, indicating the positive relationship between a property rights regime and quality of life. The average score of the IPRI for 2022 is  5.19, where the Legal and Political Environment (LP) was the weakest component with a score of 5.06, followed by the Intellectual Property Rights (IPR) component with a score of 5.24; and quite close, the Physical Property Rights (PPR) was the strongest component with a score of 5.27  For the fourth consecutive year, we found a decrease in the overall score of the IPRI and this year, also for all of its components. Finland leads the IPRI (8.17) as well as its PPR component (8.53), while New Zealand leads the LP (8.76) and the USA the IPR component (8.73). Singapore ranks 2nd in its IPRI score (7.97) followed by Switzerland (7.94) and New Zealand (7.93).  

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Data cited at:  "Annual Survey of Mining Companies: 2021"@ Fraser Institute   The Fraser Institute Annual Survey of Mining Companies was sent to approximately 4,100 exploration, development, and other mining-related companies around the world. Several mining publications and associations also helped publicize the survey. The survey, conducted from October 9, 2012, to January 6, 2013, represents responses from 742 of those companies. The companies participating in the survey reported exploration spending of US$6.2 billion in 2012 and US$ 5.4 billion in 2011.

This table presents export/import information by enterprise size class and partner country.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year:Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year:Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year:Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates