Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
Foreign Affiliates Statistics (FATS) measure the commercial presence through affiliates in foreign markets.
Inward foreign affiliates statistics (IFATS) shall mean statistics describing the activity of foreign affiliates resident in the compiling country.
In country-level business statistics foreign-controlled enterprise shall mean an enterprise resident in the compiling country over which an ultimate controlling institutional unit not resident in the compiling country has control.(Table 14 of the EBS Implementing Regulation (EU) 2020/1197).
Variables on the country-level business activities in the IFATS data category:
Business activities in foreign control:
210301. Number of foreign-controlled enterprises
220501. Number of employees and self-employed persons in foreign-controlled enterprises
220701. Employee benefits expense in foreign-controlled enterprises
230301. Intramural R & D expenditure in foreign-controlled enterprises
230401. R & D personnel in foreign-controlled enterprises
240301. Total purchases of goods and services of foreign-controlled enterprises
240302. Purchases of goods and services for resale of foreign-controlled enterprises
250601. Net turnover of foreign-controlled enterprises
250701. Value of output of foreign-controlled enterprises
260201. Foreign-controlled enterprises’ gross investment in tangible non-current assets
250801. Value added of foreign-controlled enterprises
Business activities in total economy:
210101. Number of active enterprises
220101. Number of employees and self-employed persons
220301. Employee benefits expense
230101. Intramural R & D expenditure
230201. R & D personnel
240101. Total purchases of goods and services
240102. Purchases of goods and services for resale
250101. Net turnover
250301. Value of output
250401. Value added
260101. Gross investment in tangible non-current assets
3.2. Classification system
Classification systems used in the FATS are as follows:
Statistical classification of economic activities in the European Community (NACE Rev. 2);
List of 2-digit country codes (ISO 3166-1);
Currency codes (ISO 4217).
3.3. Coverage - sector
For all variables except for variables Intramural R & D expenditure, Intramural R & D expenditure in foreign-controlled enterprises, R & D personnel and R & D personnel in foreign-controlled enterprises: Market producers of NACE Sections B to N and P to R and divisions S95 and S96;
For variables Intramural R & D expenditure, Intramural R & D expenditure in foreign-controlled enterprises, R & D personnel and R & D personnel in foreign-controlled enterprises: Market producers of NACE Sections B to F.
3.4. Statistical concepts and definitions
Foreign Affiliates Statistics (FATS) measure the commercial presence through affiliates in foreign markets.
Inward foreign affiliates statistics (IFATS) shall mean statistics describing the activity of foreign affiliates resident in the compiling country.
In country-level business statistics foreign-controlled enterprise shall mean an enterprise resident in the compiling country over which an ultimate controlling institutional unit not resident in the compiling country has control.(Table 14 of the Implementing Regulation (EU) 2020/1197).
Foreign affiliate in the framework of outward FATS is an enterprise or branch not resident in the compiling country over which an institutional unit resident in the compiling country has ultimate (direct or indirect) control.
Domestic affiliate shall mean an enterprise resident in the compiling country over which a UCI resident in the same compiling country has control.
Ultimate Controlling Institutional of a foreign affiliate (UCI) shall mean the institutional unit, proceeding up a foreign affiliate’s chain of control, which is not controlled by another institutional unit.
Control is the ability to determine the general policy of the affiliate by choosing appropriate directors, if necessary. In this context, enterprise A is deemed to be controlled by an institutional unit B when B controls, whether directly or indirectly, more than half of the shareholders' voting power or more than half of the shares.
Indirect control means that an institutional unit may have control through another affiliate which has control over enterprise A.
Active enterprise is a statistical units which at any time during the reference period was ‘enterprise’, as defined in Regulation (EEC) No 696/93, and also active during the same reference period. A statistical unit is considered to have been active during the reference period if, in said period, it either realized positive net turnover or produced outputs or had employees or performed investments.
Employees and self-employed persons are persons who work for an observation unit on the basis of a contract of employment and receives compensation in the form of wages, salaries, fees, gratuities, piecework pay or remuneration in kind; and persons who are the sole owners or joint owners of the statistical unit in which they work. Family workers and outworkers, whose income is a function of the value of the outputs of the statistical unit, are also included.
Employee benefits expense contains all expenses arising in relation with employee benefits, recognized by the statistical unit during the reference period. Those are are all forms of consideration given by the statistical unit in exchange for service rendered by employees or for the termination of employment.
Research and experimental development (R & D) comprise creative and systematic work undertaken in order to increase the stock of knowledge – including knowledge of humankind, culture and society – and to devise new applications of available knowledge. Expenditures on intramural R & D represent the amount of money spent on R & D that is performed within a reporting unit. Intramural R & D expenditures are all current expenditures plus gross fixed capital expenditures for R & D performed within a statistical unit during a specific reference period whatever the source of funds. R & D current expenditures include labour costs for internal R & D personnel and other current costs (costs for external R & D personnel, purchase of services.). Gross fixed capital expenditures for R & D include: acquisition of land, acquisition of buildings, acquisition of information and communication equipment, acquisition of transport equipment, acquisition of other machinery and equipment, acquisition of capitalised computer software, acquisition of other intellectual property products.
R & D personnel in a statistical unit include all persons engaged directly in R & D, whether employed by the statistical unit or external contributors fully integrated into the statistical unit’s R & D activities, as well as those providing direct services for the R & D activities (such as R & D managers, administrators, technicians and clerical staff).
Total purchases of goods and services contains all amount of goods and services purchased by the statistical unit, recognized in accounting as either current assets or expenses during the reference period.
Purchases of goods and services for resale in are purchases of goods for resale to third parties without further processing. It also includes purchases of services by ‘invoicing’ service companies, i.e. those whose turnover is composed not only of agency fees charged on a service transaction (as in the case of estate agents) but also the actual amount involved in the service transaction, e.g. transport purchases by travel agents.
Net turnover consists of all income arising during the reference period in the course of ordinary activities of the statistical unit, and is presented net of all price reductions, discounts and rebates granted by it.
Value of output represents the value of the total output of the statistical unit, generated during the reference period.
Value added is a composite indicator of net operating income, adjusted for depreciation, amortization and employee benefits, all components being recognized as such by the statistical unit during the reference period.
Gross investment in tangible non-current assets includes all additions to tangible non-current assets, recognized as such by the statistical unit during the reference period, except any increases from revaluations or reversals of previously recognized impairment losses and from reclassifications (transfers) of other tangible non-current assets.
EGR is used for Swedish Inward FATS. Which means there is no SPE, equally shared control or multiple minority ownership.
3.5. Statistical unit
The statistical unit of FATS is the enterprise as defined in line with the Regulation (EEC) No 696/93 on the statistical units for the observation and analysis of the production system in the Community.
3.6. Statistical population
For all variables except for variables 230101 (Intramural R & D expenditure), 230301
(Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to N and P to R and divisions S95 and S96;
For variables 230101 (Intramural R & D expenditure), 230301 (Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to F.
3.7. Reference area
Sweden
3.8. Coverage - Time
Data is available from 2003 to 2023.
3.9. Base period
Not relevant for Inward FATS.
Number of enterprises and employment variables are recorded in absolute figures.
Monetary data of enterprises are recorded in thousands of SEK.
Data refers to the calendar year, which in some cases corresponds to the fiscal year.
6.1. Institutional Mandate - legal acts and other agreements
In line with the Community legal framework and the European Statistics Code of Practice, Statistics Sweden disseminates national IFATS statistics on Growth Analysis website respecting professional independence and in an objective, professional and transparent manner in which all users are treated equitably.
Annual for all variables except for variables 230101 (Intramural R & D expenditure), 230301 (Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to N and P to R and divisions S95 and S96;
Biennial (every odd-numbered year) for variables 230101 (Intramural R & D expenditure), 230301 (Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to F.
Inward FATS follows national regulations and consultations with The Board of Swedish Industry and Commerce for Better Regulation (NNR) but doesn't follow a general quality management system.
11.2. Quality management - assessment
Sweden use administrative data and other surveys to make Inward FATS, mainly SBS and R&D survey. Those surveys take statistical uncertainty into account and work is carried out to reduce bias associated with sample surveys (outlier detection/editing/imputation etc). The quality of the sources is generally considered to be high.
12.1. Relevance - User Needs
Users of Inward FATS are:
Internal users:
National Business Register
R&D survey
Analytics (to link FATS data with other surveys)
External users:
European Commission services
International organisations
Ministries
Chambers of commerce
Trade unions
Journalists
Researchers etc.
User needs go beyond what data compilers can provide.
12.2. Relevance - User Satisfaction
In general the users are satisfied with the statistics Statistics Sweden can provide. Inward FATS are not used for national accounts.
12.3. Completeness
The survey covers all the variables required by Eurostat regulations and guidelines (Completeness in a percentage of the number of required cells = 100%).
12.3.1. Data completeness - rate
Please see Table 12.3.1 in the Annex at the bottom.
13.1. Accuracy - overall
The overall accuracy of the results can be assessed as very good. The IFATS data are a subset of SBS data, which means that they are derived from the same underlying data sources. The data isobtained by combining administrative information from SBS, EGR and R&D survey.
No data is missing so no methods for handling missing data is utilized. Any such issues are handled at the sources and not in Inward FATS.
The types of errors that may have impacted the accuracy of the data are the same errors that impact SBS and EGR. If there are errors in SBS it will impact IFATS as well. If the UCI is incorrect in EGR or if the enterprise is missing in EGR it will be missing in IFATS as well.
In cases where contradictory information was encountered, we prioritized the information from the most reliable sources, such as annual reports.
13.1.1. Use of residual geographic codes (Extra EU-27 not allocated, etc.)
Data for Inward FATS is compiled from Euro Group Register and there are no extra EU-27 (D09) enterprises in that register for Sweden.
Please see Table 13.1 in the Annex at the bottom.
13.1.2. UCI Approach applied to identify the relevant population of reporting units
From reference year 2019 and onwards EGR has been the source for UCI in Inward FATS. GGH is used as a proxy for UCI. SBS is used as the frame population and then UCI-information from EGR is added.
Some data validation is made on the information of UCI. Some examples:
Enterprises aren't present in the EGR compared to the year before.
Enterprises are present in the EGR but wasn't present the year before.
Enterprises that change country of UCI between reference years.
All larger enterprises are investigated and information in the annual reports are considered to be correct. Any errors that are found are corrected and the Swedish EGR team is informed for future versions of EGR.
13.1.3. Update date (or frequency of updates) of the information regarding the country of the UCI by the “source administration”
No updates are done except for when EGR is released at 31st of March every year.
13.1.4. Description of other method used to improve the accuracy of the UCI
EGR is used to find information on UCI. GGH is used as a proxy for UCI. We validate the data by checking enterprises that aren't in IFATS anymore, changed UCI between years or are new to IFATS. To investigate if the UCI is correct. Enterprises that have the same UCI over several years aren't investigated.
13.2. Sampling error
Survey is a census so no sampling is done.
13.2.1. Sampling error - indicators
Not applicable. Inward FATS is a cencus survey using register data so no sampling takes place.
13.3. Non-sampling error
Inward FATS in Sweden is a census survey mainly utilizing SBS and EGR as sources. The coverage of these sources are considered high although there could be issues with both under- and over-coverage. In SBS the non-sampling error is considered to be small. Non-response in the SRU are compensated by mean value imputation with respect to industry and size. The measures taken to minimise the unit non-response is with the help of several postal reminders and telephone reminders for the larger enterprises. An evaluation of the questionnaire is carried out after each survey period. Also, under the Swedish Official Statistics Act (2001:99), information collected directly from enterprises is subject to obligation to provide information. For the estimation methods, the bias is small with a limited effect in the overall accuracy of the estimate.
13.3.1. Coverage error
There could be a coverage error in the sources that Statistics Sweden utilize in Inward FATS. However those are covered in the surveys. SBS has methods in place to handle these issues. No further statistical method is used in Inward FATS to handle coverage error.
13.3.1.1. Over-coverage - rate
No further statistical method is used, Inward FATS rely on the work done in the sources that is used (mainly SBS and EGR).
13.3.1.2. Common units - proportion
All units that are in SBS and in EGR are included in Inward FATS in Sweden. There could be under- or over-coverage, but we are unable to calculate this.
13.3.1.3. Misclassification errors
Inward FATS in Sweden rely on other sources and that the data is correctly classified.
13.3.1.4. Under- and over-coverage problems
There could be under- and over-coverage problems. But since Inward FATS rely on administrative sources and other surveys we rely on those to handle coverage problems.
13.3.2. Measurement error
Inward FATS in Sweden has not encountered any measurments errors. If there are errors they should be handled by the sources.
13.3.3. Non response error
Unit non-response occurs when not all the reporting units in the sample participate in the survey.
Item non-response occurs when a respondent provides some, but not all, of the information requested or if the information reported is unusable (note that entirely unusable questionnaires are already counted in the unit non-response).
These errors are handled by the sources. SBS and R&D surveys have methods to deal with these errors.
13.3.3.1. Unit non-response - rate
See Table 13.3.3 in the Annex at the bottom.
13.3.3.2. Item non-response - rate
See Table 13.3.3 in the Annex at the bottom.
13.3.4. Processing error
There is no collection process in the Swedish Inward FATS. Any such problems are handled in the sources (SBS and R&D surveys).
13.3.5. Model assumption error
There are no estimations in the Swedish Inward FATS. Any such problems are handled in the sources (SBS and R&D surveys).
14.1. Timeliness
IFATS statistics are calculated annually for reference year T.
Data is collected from EGR at T+16.
Data transmission to Eurostat takes place at t+20 months.
Data dissemination at national level takes place at t+18 months.
14.1.1. Time lag - first result
Only the final results of Inward FATS are published in Sweden. It is published around T+21-22 months after the end of the reference period.
14.1.2. Time lag - final result
Final data dissemination at national level takes place at around T+21-22 months.
14.2. Punctuality
Final data are disseminated and published on time.
14.2.1. Punctuality - delivery and publication
Final data are delivered and published on time.
15.1. Comparability - geographical
There is a high degree of comparability across the different Swedish geographical domains.
15.1.1. Asymmetry for mirror flow statistics - coefficient
Not applicable
15.2. Comparability - over time
The length of the time series is 2003-2023.
15.2.1. Length of comparable time series
Length of time series: 2003-2023
Length of comparable time series:
2003-2007
2008-2020
2021-onwards
15.2.2. Reasons and differences in concepts and measurement methods for breaks in time series
2003-2007: NACE Rev. 1.1 activity classification was in use. Starting from 2008 NACE Rev. 2 was implemented.
2008-2020: Starting from reference year 2021 a change of statistical unit (from legal unit to enterprise)
2021-onwards: In reference year 2021 a new Regulation (EU) 2019/2152 (EBS Regulation) replaced the old FATS regulation introducing some changes such as:
extension in coverage (NACE)
change in coverage of the basic statistics (national SBS: inclusion of micro enterprises)
changes in definition of characteristics
15.3. Coherence - cross domain
Statistics Sweden aim to have coherence between FATS and SBS. Unfortunately there could still be differences.
15.3.1. Coherence - sub annual and annual statistics
Not applicable
15.3.2. Coherence - National Accounts
Not applicable, there is no connection between Swedish Inward FATS and National Accounts.
15.3.3. Coherence – National Statistical Business Register (NSBR)
Swedish Inward FATS is based on SBS which in turn use NSBR to create it's population. So coherence between NSBR and FATS should be high.
15.3.4. Coherence – Structural Business Statistics (SBS)
Since Swedish Inward FATS use SBS as the base, there shouldn't be any inconsistency between SBS and Inward FATS.
15.3.5. Coherence – R & D
There shouldn't be any incoherence between the R&D statistics and IFATS.
15.3.6. Coherence – Foreign Direct Investment (FDI)
There is no coherence between FDI and FATS in Sweden. Those are two seperate surveys and there is no cooperation between them in Sweden.
15.3.7. Coherence – EuroGroups Register (EGR)
There are some minor incoherence between EGR and swedish IFATS.
IFATS use SBS as a source for the framepopulation. This means that any enterprise that are in EGR but not in SBS is exckluded.
Some datavalidation takes place when producing IFATS and some changes are made. All changes are reported back to the Swedish EGR team.
15.4. Coherence - internal
In the statistical sense the aggregates are always consistent with their main sub-aggregates, in numerical sense they are not always strictly consistent. Due to rounding errors aggregates may not be fully consistent with sub-aggregates.
IFATS is completely made from different registers (EGR, SBS, R&D and BR) and there is no cost or burden to collect data from respondents.
17.1. Data revision - policy
Data is revised if a large error is found, mainly if SBS decides to revise their data. There are no set limits to what is considered a large error.
17.2. Data revision - practice
In practice a revision usually takes place if SBS is revised.
17.2.1. Data revision - average size
There is no policy to regularly revise Inward FATS in Sweden. In recent years no revisions have been made, so no calculations are available.
18.1. Source data
Data on Inward FATS population and UCI are compiled from EGR.
Economic data on Inward FATS is compiled from SBS and R&D survey.
18.1.1. Methodological approach
Population is created from SBS and then we add information of UCI (GGH) from EGR and we use GGH as a proxy for UCI. The reason SBS is used as a base for the frame population is that FATS and SBS will be consistent. Economic variables from SBS and R&D survey are used. No sampling or questionnaire is used.
18.1.2. Use of cut-off thresholds
No cut-off is used.
18.2. Frequency of data collection
Data is collected annually.
18.3. Data collection
Source to define your population:
Enterprises in SBS that are also present in the EGR. SBS is the base for the population and EGR adds the information about the UCI.
Economic data obtained using:
100% Structural Business Statistics (SBS)
R&D variables:
100% R&D survey
18.4. Data validation
Mainly data on the population and information on UCI is validated. We investigate if there are new enterprises in the population or if enterprises is missing. We also look at UCI information to determine if it is correct. Economic data and R&D variables are considred correct from the source and isn't validated.
18.5. Data compilation
Data is compiled from EGR, SBS and R&D survey.
18.5.1. Imputation - rate
No imputations are made.
18.5.2. Use of a method to deal with non-response (both unit and item non-response)
Not applicable, since IFATS is compiled using a register based approach.
18.5.3. Share of estimated values
No estimations are made. This a census and registered based survey and available data is summarized.
18.6. Adjustment
All adjustments are made in the sources used by Inward FATS in Sweden. For SBS, Statistics Sweden uses the accounting year which cover the most of the reference period. If shorter or longer than 12 months the figures are recalculated to be equivalent to 12 months.
18.6.1. Seasonal adjustment
Not applicable, no seasonal adjustments are made in this survey.
We made a change for reference year 2022. Instead of starting in EGR and adding data from SBS we did it the other way around. SBS is the base and then we add data from EGR. This excludes enterprises that are present in EGR but not in SBS. Mainly enterprises that are considered foreign or inactive. This was done so that FATS and SBS should be consistent.
Foreign Affiliates Statistics (FATS) measure the commercial presence through affiliates in foreign markets.
Inward foreign affiliates statistics (IFATS) shall mean statistics describing the activity of foreign affiliates resident in the compiling country.
In country-level business statistics foreign-controlled enterprise shall mean an enterprise resident in the compiling country over which an ultimate controlling institutional unit not resident in the compiling country has control.(Table 14 of the EBS Implementing Regulation (EU) 2020/1197).
Variables on the country-level business activities in the IFATS data category:
Business activities in foreign control:
210301. Number of foreign-controlled enterprises
220501. Number of employees and self-employed persons in foreign-controlled enterprises
220701. Employee benefits expense in foreign-controlled enterprises
230301. Intramural R & D expenditure in foreign-controlled enterprises
230401. R & D personnel in foreign-controlled enterprises
240301. Total purchases of goods and services of foreign-controlled enterprises
240302. Purchases of goods and services for resale of foreign-controlled enterprises
250601. Net turnover of foreign-controlled enterprises
250701. Value of output of foreign-controlled enterprises
260201. Foreign-controlled enterprises’ gross investment in tangible non-current assets
250801. Value added of foreign-controlled enterprises
Business activities in total economy:
210101. Number of active enterprises
220101. Number of employees and self-employed persons
220301. Employee benefits expense
230101. Intramural R & D expenditure
230201. R & D personnel
240101. Total purchases of goods and services
240102. Purchases of goods and services for resale
250101. Net turnover
250301. Value of output
250401. Value added
260101. Gross investment in tangible non-current assets
24 November 2024
Foreign Affiliates Statistics (FATS) measure the commercial presence through affiliates in foreign markets.
Inward foreign affiliates statistics (IFATS) shall mean statistics describing the activity of foreign affiliates resident in the compiling country.
In country-level business statistics foreign-controlled enterprise shall mean an enterprise resident in the compiling country over which an ultimate controlling institutional unit not resident in the compiling country has control.(Table 14 of the Implementing Regulation (EU) 2020/1197).
Foreign affiliate in the framework of outward FATS is an enterprise or branch not resident in the compiling country over which an institutional unit resident in the compiling country has ultimate (direct or indirect) control.
Domestic affiliate shall mean an enterprise resident in the compiling country over which a UCI resident in the same compiling country has control.
Ultimate Controlling Institutional of a foreign affiliate (UCI) shall mean the institutional unit, proceeding up a foreign affiliate’s chain of control, which is not controlled by another institutional unit.
Control is the ability to determine the general policy of the affiliate by choosing appropriate directors, if necessary. In this context, enterprise A is deemed to be controlled by an institutional unit B when B controls, whether directly or indirectly, more than half of the shareholders' voting power or more than half of the shares.
Indirect control means that an institutional unit may have control through another affiliate which has control over enterprise A.
Active enterprise is a statistical units which at any time during the reference period was ‘enterprise’, as defined in Regulation (EEC) No 696/93, and also active during the same reference period. A statistical unit is considered to have been active during the reference period if, in said period, it either realized positive net turnover or produced outputs or had employees or performed investments.
Employees and self-employed persons are persons who work for an observation unit on the basis of a contract of employment and receives compensation in the form of wages, salaries, fees, gratuities, piecework pay or remuneration in kind; and persons who are the sole owners or joint owners of the statistical unit in which they work. Family workers and outworkers, whose income is a function of the value of the outputs of the statistical unit, are also included.
Employee benefits expense contains all expenses arising in relation with employee benefits, recognized by the statistical unit during the reference period. Those are are all forms of consideration given by the statistical unit in exchange for service rendered by employees or for the termination of employment.
Research and experimental development (R & D) comprise creative and systematic work undertaken in order to increase the stock of knowledge – including knowledge of humankind, culture and society – and to devise new applications of available knowledge. Expenditures on intramural R & D represent the amount of money spent on R & D that is performed within a reporting unit. Intramural R & D expenditures are all current expenditures plus gross fixed capital expenditures for R & D performed within a statistical unit during a specific reference period whatever the source of funds. R & D current expenditures include labour costs for internal R & D personnel and other current costs (costs for external R & D personnel, purchase of services.). Gross fixed capital expenditures for R & D include: acquisition of land, acquisition of buildings, acquisition of information and communication equipment, acquisition of transport equipment, acquisition of other machinery and equipment, acquisition of capitalised computer software, acquisition of other intellectual property products.
R & D personnel in a statistical unit include all persons engaged directly in R & D, whether employed by the statistical unit or external contributors fully integrated into the statistical unit’s R & D activities, as well as those providing direct services for the R & D activities (such as R & D managers, administrators, technicians and clerical staff).
Total purchases of goods and services contains all amount of goods and services purchased by the statistical unit, recognized in accounting as either current assets or expenses during the reference period.
Purchases of goods and services for resale in are purchases of goods for resale to third parties without further processing. It also includes purchases of services by ‘invoicing’ service companies, i.e. those whose turnover is composed not only of agency fees charged on a service transaction (as in the case of estate agents) but also the actual amount involved in the service transaction, e.g. transport purchases by travel agents.
Net turnover consists of all income arising during the reference period in the course of ordinary activities of the statistical unit, and is presented net of all price reductions, discounts and rebates granted by it.
Value of output represents the value of the total output of the statistical unit, generated during the reference period.
Value added is a composite indicator of net operating income, adjusted for depreciation, amortization and employee benefits, all components being recognized as such by the statistical unit during the reference period.
Gross investment in tangible non-current assets includes all additions to tangible non-current assets, recognized as such by the statistical unit during the reference period, except any increases from revaluations or reversals of previously recognized impairment losses and from reclassifications (transfers) of other tangible non-current assets.
EGR is used for Swedish Inward FATS. Which means there is no SPE, equally shared control or multiple minority ownership.
The statistical unit of FATS is the enterprise as defined in line with the Regulation (EEC) No 696/93 on the statistical units for the observation and analysis of the production system in the Community.
For all variables except for variables 230101 (Intramural R & D expenditure), 230301
(Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to N and P to R and divisions S95 and S96;
For variables 230101 (Intramural R & D expenditure), 230301 (Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to F.
Sweden
Data refers to the calendar year, which in some cases corresponds to the fiscal year.
The overall accuracy of the results can be assessed as very good. The IFATS data are a subset of SBS data, which means that they are derived from the same underlying data sources. The data isobtained by combining administrative information from SBS, EGR and R&D survey.
No data is missing so no methods for handling missing data is utilized. Any such issues are handled at the sources and not in Inward FATS.
The types of errors that may have impacted the accuracy of the data are the same errors that impact SBS and EGR. If there are errors in SBS it will impact IFATS as well. If the UCI is incorrect in EGR or if the enterprise is missing in EGR it will be missing in IFATS as well.
In cases where contradictory information was encountered, we prioritized the information from the most reliable sources, such as annual reports.
Number of enterprises and employment variables are recorded in absolute figures.
Monetary data of enterprises are recorded in thousands of SEK.
Data is compiled from EGR, SBS and R&D survey.
Data on Inward FATS population and UCI are compiled from EGR.
Economic data on Inward FATS is compiled from SBS and R&D survey.
Annual for all variables except for variables 230101 (Intramural R & D expenditure), 230301 (Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to N and P to R and divisions S95 and S96;
Biennial (every odd-numbered year) for variables 230101 (Intramural R & D expenditure), 230301 (Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to F.
IFATS statistics are calculated annually for reference year T.
Data is collected from EGR at T+16.
Data transmission to Eurostat takes place at t+20 months.
Data dissemination at national level takes place at t+18 months.
There is a high degree of comparability across the different Swedish geographical domains.
