Employment and unemployment (Labour force survey) (employ)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: Statistical Office of the Republic of Slovenia


Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)
 



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Statistical Office of the Republic of Slovenia
1.2. Contact organisation unit

General Methodology Unit
1.5. Contact mail address

Litostrojska ulica 54, 1000 Ljubljana


2. Statistical presentation Top
Please take note of the abbreviations used in the report 
Abbreviation Explanation
CV Coefficient of variation (or relative standard error)
Y/N Yes / No
H/P Households/Persons
M? Member State doesn’t know
NA Not applicable/ Not relevant
UNA Information unavailable
NR Non-response: Member State doesn’t answer to Eurostat request for information. Blank is allowed only in boxes with comments
LFS Labour Force Survey
NUTS Nomenclature of territorial units for statistics or corresponding statistical regions in the EFTA and candidates countries
2.1. Data description
Coverage   
Coverage Household concept Definition of household for the LFS Inclusion/exclusion criteria for members of the household Questions relating to employment status are put to all persons aged ...
Individuals living in private households in Slovenia. Housekeeping Members living regularly together in the same dwelling sharing income, household expenditures, food and other essentials for living. Members of the household temporary absent for a period exceeding 12 months (nursing home, prisons, student’s homes) and persons living in other countries were excluded from the survey. Foreign nationals are included, if they correspond to the criteria of population. For the household members up to 15 years only very few questions are collected.  15 years or more

 

Population concept  Specific population subgroups
Primary/secondary students Tertiary students People working out of family home for an extended period for the purpose of work People working away from family home but returning for weekends Children alternating two places of residence
Usual residence (12 months) Family home Family home Term address Family home Family home

 

Reference week
Fixed week (data collection refers to one reference week, to which the observation unit has been assigned prior to the fieldwork) Rolling week (data collection always refers to the week before the interview)                                  
 N  Y
2.2. Classification system

[not requested for the LFS quality report]
2.3. Coverage - sector

[not requested for the LFS quality report]
2.4. Statistical concepts and definitions

[not requested for the LFS quality report]
2.5. Statistical unit

[not requested for the LFS quality report]
2.6. Statistical population

[not requested for the LFS quality report]
2.7. Reference area

[not requested for the LFS quality report]
2.8. Coverage - Time

[not requested for the LFS quality report]
2.9. Base period

[not requested for the LFS quality report]


3. Statistical processing Top
3.1. Source data
Sampling design & procedure
Sampling design (scheme; simple random sample, two stage stratified sample, etc.) Base used for the sample (sampling frame)  Last update of the sampling frame (continuously updated or date of the last update) Primary sampling unit (PSU)   Final sampling unit (FSU)
 stratified systematic random sample  Central Population Register  continously updated  NA  household

 

Sampling design & procedure
First (and intermediate) stage sampling method   Final stage sampling method Stratification (variable used) Number of strata (if strata change quarterly, refer to Q4). Rotation scheme (2-2-2, 5, 6, etc.)
 NA  stratified systematic random sample  nuts3, type of settlement  47 3 - (1) - 2

 

Yearly sample size & Sampling rate
Overall theoretical yearly sampling rate Size of the theoretical yearly sample
(i.e. including non-response) (i.e. including non-response)
 3.7% 30653

  

Quarterly sample size & Sampling rate

Overall theoretical quarterly sampling rate

Size of the theoretical quarterly sample

(i.e. including non-response)

(i.e. including non-response)
 1.0% 7700

  

Use of subsamples to survey structural variables (wave approach)

Only for countries using a subsample for yearly variables
 Wave(s) for the subsample  Are the 30 totals for ILO labour status (employment, unemployment and inactivity) by sex (males and females) and age groups (15-24, 25-34, 35-44, 45-54, 55+) between the annual average of quarterly estimates and the yearly estimates from the subsample all consistent? (Ref.: Commission Reg. 430/2005, Annex I) (Y/N) If not please list deviations List of yearly variables for which the wave approach is used (Ref.: Commission Reg. 377/2008, Annex II)
 NA  NA  NA   NA 

 

Brief description of the method of calculating the quarterly core weights Is the sample population in private households expanded to the reference population in private households? (Y/N) If No, please explain which population is used as reference population Gender is used in weighting (Y/N) Which age groups are used in the weighting (e.g., 0-14, 15-19, ..., 70-74, 75+)? Which regional breakdown is used in the weighting (e.g. NUTS 3)? Other weighting dimensions
product of sampling weight, non-response weight and calibration weight N  total population  Y 0-14, 15-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70+  NUTS3  N

 

Brief description of the method of calculating the yearly weights (please indicate if subsampling is applied to survey yearly variables) Gender is used in weighting (Y/N) Which age groups are used in the weighting (e.g., 0-14, 15-19, ..., 70-74, 75+)? Which regional breakdown is used in the weighting (e.g. NUTS3)? Other weighting dimensions
N  NA  NA  NA  NA

 NA 

Brief description of the method of calculating the weights for households External reference for number of households etc.? Which factors at household level are used in the weighting (number of households, household size, household composition, etc.) Which factors at individual level are used in the weighting (gender, age, regional breakdown etc.) Identical household weights for all household members? (Y/N)
calibration (with Calmar)  N  NA  gender, age groups, NUTS3  Y
3.2. Frequency of data collection

[not requested for the LFS quality report]
3.3. Data collection
Data collection methods: brief description Use of dependent interviewing (Y/N)? Participation is voluntary/compulsory?
in 1st and 3rd quarter - first wave CAPI, repeated waves CATI; 2nd and 4th quarter only CATI data collection Y voluntary

 

Final sampling unit collected by interviewing technique (%)
CAPI CATI PAPI CAWI POSTAL - OTHER
 15 % 85 %  NA NA NA
3.4. Data validation

[not requested for the LFS quality report]
3.5. Data compilation

[not requested for the LFS quality report]
3.6. Adjustment

[not requested for the LFS quality report]


4. Quality management Top
4.1. Quality assurance

[not requested for the LFS quality report]
4.2. Quality management - assessment

[not requested for the LFS quality report]


5. Relevance Top
5.1. Relevance - User Needs
Assessment of the relevance of the main LFS statistics at national level (e.g. for policy makers, other stakeholders, media and academic research)
 Data is relevant for policy makers, media, researchers.
5.2. Relevance - User Satisfaction

[not requested for the LFS quality report]
5.3. Completeness
NUTS level of detail   
Regional level of an individual record (person) in the national data set Lowest regional level of the results published by NSI Lowest regional level of the results delivered to researchers by NSI Brief description of the method which is used to produce NUTS-3 unemployment and labour force data sent to Eurostat?
 NUTS3  NUTS3  NUTS3  NUTS3 annual data is average of quarterly NUTS3 data.
5.3.1. Data completeness - rate

[not requested for the LFS quality report]


6. Accuracy and reliability Top
6.1. Accuracy - overall

[not requested for the LFS quality report]
6.2. Sampling error
Publication thresholds   
Annual estimates Annual estimates - wave approach 
(if different from full sample thresholds) 
 Limit below which figures cannot be published  Limit below which figures must be published with warning  Limit below which figures cannot be published Limit below which figures must be published with warning
500 4000  NA NA
6.2.1. Sampling error - indicators
Coefficient of variation (CV) Annual estimates
Sampling error - indicators - Coefficient of variation (CV), Standard Error (SE) and Confidence Interval (CI)       
  Number of employed persons Employment rate as a percentage of the population Number of part-time employed persons Number of unemployed persons Unemployment rate as a percentage of labour force Youth unemployment rate as a percentage of labour force Average actual hours of work per week(*)
  Age group: 20 - 64 Age group: 20 - 64 Age group: 20 - 64 Age group: 15 -74 Age group: 15 -74 Age group: 15 -24 Age group: 20 - 64
 CV  0.8  0.5 2.5  4.0  4.0   8.9 0.2 
 SE 7346  0.4  2000  2065  0.2  1.3  0.1 
 CI(**) 944000-973000   75.0-76.5 76.000-84.000  47000-55000  4.6-5.4  12.1-17.2  39-39 

 

Description of the assumption underlying the denominator for the calculation of the CV for the employment rate
Total age-group population is counted in the denominator.

 

Reference on software used: Reference on method of estimation:
 SAS proc surveymeans

 

Coefficient of variation (CV) Annual estimates at NUTS-2 Level        
NUTS-2  CV of regional (NUTS-2) annual aggregates (in %)     
Regional Code Region Number of employed persons Employment rate as a percentage of the population Number of part-time employed persons Number of unemployed persons Unemployment rate as a percentage of labour force Youth unemployment rate as a percentage of labour force Average actual hours of work per week(*)
    Age group: 20 - 64 Age group: 20 - 64 Age group: 20 - 64 Age group: 15 -74 Age group: 15 -74 Age group: 15 -24 Age group: 20 - 64 
SI03 Vzhodna Slovenija  1.0 0.7 3.3 5.3  5.3 11.8 0.3
SI04 Zahodna Slovenija  1.1  0.7  3.7  6.1  6.1  13.4  0.3 

 

(*) The coefficient of variation for actual hours worked should be calculated for the sum of actual hours worked in 1st and 2nd jobs, and restricted to those who actually worked 1 hour or more in the reference week.

(**) The value is based on a CI of 95%. For the rates the CI should be given with 2 decimals.
6.3. Non-sampling error

 [not requested for the LFS quality report]
6.3.1. Coverage error
Frame quality (under-coverage, over-coverage and misclassifications(b))      
Under-coverage rate (%) Over-coverage rate (%) Misclassification rate (%)  Comments: specification and impact on estimates(a)   
 Undercoverage  Overcoverage  Misclassification(b)  Reference on frame errors
neglectable  0.4 %  neglectable  N UNA N UNA

 

(a) Mention specifically which regions / population groups are not suitably represented in the sample.
(b) Misclassification refers to statistical units having an erroneous classification where both the wrong and the correct one are within the target population.
6.3.1.1. Over-coverage - rate

[Over-coverage rate, please see concept 6.3.1 Coverage error in the LFS quality report]
6.3.1.2. Common units - proportion

[not requested for the LFS quality report]
6.3.2. Measurement error
Errors due to the medium (questionnaire)   
Was the questionnaire updated for the 2020 LFS operation? (Y/N) Synthetic description of the update Was the questionnaire tested? (Y/N) If the questionnaire has been tested, which kind of tests has been applied (pilot, cognitive, internal check)?
 N  NA  N  NA 

 

Main methods of reducing measurement errors 
Error source  
Respondent  Letter introducing the survey (Y/N) Phone call for booking or introducing the survey (Y/N)
 Y N
Interviewer  Periodical training (at least 1 time per year) (Y/N)  Feedbacks from interviewer (reports, debriefings, etc.) (Y/N)
 Y  Y
Fieldwork  Monitoring directly by contacting the respondents after the fieldwork (Y/N) Monitoring directly by listening the interviews (Y/N) Monitoring remotely through performance indicators (Y/N)
 Y  Y  Y
Questionnaire  Questionnaire in several languages (Y/N)  On-line checks (for computer assisted interviews (Y/N)
 N  Y
Other / Comments  
6.3.3. Non response error

[not requested for the LFS quality report]
6.3.3.1. Unit non-response - rate

IN THIS SECTION INFORMATION REFERS TO THE FINAL SAMPLING UNITS *

Methods used for adjustments for statistical unit non-response
Adjustment via weights (Y/N) Variables used for non-response adjustment Description of method
Y NUTS3, type of settlement, wave classical non-response weighitng
Substitution of non-responding units (Y/N) Substitution rate Criteria for substitution
N NA NA
Other methods (Y/N) Description of method
N NA

  

Non-response rates by survey mode. Annual average (% of the theoretical yearly sample by survey mode)
Survey
CAPI CATI  PAPI  CAWI  POSTAL
 39 % 43 %   NA NA   NA

 

Divisions of non-response into categories. Quarterly data and annual average
Quarter Non-response rate
Total (%)             of which:
 Refusals (%)      Non-contacts (including people who migrated (or moved) internally or abroad) (%) of which people who migrated (or moved) internally or abroad (%)
1 25.9 9.9 3.3  UNA
2 51.0 3.8 43.4  UNA 
3 27.1 13.5 4.1  UNA 
4 52.4 5.4 43.4  UNA 
Annual  42.2 7.3  28.4  UNA 

 

 Units who refused to participate in the survey  (Please indicate the number of the units concerned in the cells where the wave is mentioned)
Subsample Quarter1_2020 Quarter2_2020 Quarter3_2020 Quarter4_2020
Subsample_Q4_2018  UNA UNA  NA  NA 
Subsample_Q1_2019  NA UNA  UNA  NA 
Subsample_Q2_2019  NA NA  UNA  UNA 
Subsample_Q3_2019  UNA NA  NA  UNA 
Subsample_Q4_2019  UNA UNA  NA  NA 
Subsample_Q1_2020  UNA UNA  UNA  NA 
Subsample_Q2_2020  NA UNA  UNA  UNA 
Subsample_Q3_2020  NA NA  UNA  UNA 
Subsample_Q4_2020  NA NA  NA  UNA 
Total in absolute numbers  750 462  987  669 
Total in % of theoretical quarterly sample  10% 4%  13%  5% 

 

Units who were not contacted (including people who migrated (or moved) internally or abroad) (Please indicate the number of units only in the cells where the wave is mentioned)
Subsample Quarter1_2020 Quarter2_2020 Quarter3_2020 Quarter4_2020
Subsample_Q4_2018 UNA UNA  NA  NA 
Subsample_Q1_2019 NA  UNA  UNA  NA 
Subsample_Q2_2019 NA  NA  UNA  UNA 
Subsample_Q3_2019 UNA  NA NA  UNA 
Subsample_Q4_2019 UNA  UNA  NA  NA 
Subsample_Q1_2020 UNA  UNA UNA  NA 
Subsample_Q2_2020 NA UNA  UNA  UNA 
Subsample_Q3_2020 NA  NA  UNA  UNA 
Subsample_Q4_2020 NA NA  NA  UNA 
Total in absolute numbers 250 5274  302 5376 
Total in % of theoretical quarterly sample 3%  43%  4%  43% 

 

of which people who migrated (or moved) internally or abroad) (Please indicate the number of units only in the cells where the wave is mentioned)
Subsample Quarter1_2020 Quarter2_2020 Quarter3_2020 Quarter4_2020
Subsample_Q4_2018        
Subsample_Q1_2019        
Subsample_Q2_2019        
Subsample_Q3_2019        
Subsample_Q4_2019        
Subsample_Q1_2020        
Subsample_Q2_2020        
Subsample_Q3_2020        
Subsample_Q4_2020        
Total in absolute numbers  UNA UNA  UNA  UNA 
Total in % of theoretical quarterly sample UNA  UNA  UNA  UNA 

 

Non-response rates. Annual averages (% of the theoretical yearly sample)
NUTS-2 region (code + name)  Non response rate (%)
SI03 - Vzhodna Slovenija 42%
SI04 - Zahodna Slovenija 42% 

* If the final sampling unit is the household it must be considered as responding unit even in case of some household members (not all) do not answer the interview
6.3.3.2. Item non-response - rate
Item non-response (*) - Quarterly data (Compared to the variables defined by the Commission Regulation (EC) No 377/2008)       

Variable status

 Column Identifier Quarter 1 Quarter 2 Quarter 3 Quarter 4 Short comments on reasons for non-available statistics and prospects for future solutions

Compulsory / optional
compulsory Col_065/66 HWOVERP 89.3 93.4 90.5 89.2  
compulsory Col_067/68 HWOVERPU 94.1 96.4 95.1 94.2  
compulsory Col_089/90 MONTHPR 13.2 13.2 14.8 11.1  
compulsory Col_111 - Employed METHODI . . . C  Almost not available in Slovenia
compulsory Col_114 - Employed METHODL C . C C  Almost not available in Slovenia
compulsory Col_114 - Not employed METHODL C . . C  
compulsory Col_115 - Employed METHODM . . C .  Not available in Slovenia 

 

Item non-response - Annual data (Compared to the variables defined by the Commission Regulation (EC) No 377/2008)    
Variable status Column Identifier This reference year Short comments on reasons for non-available statistics and prospects for future solutions
compulsory Col_016 MARSTAT

14.2

  
compulsory Col_049 WAYJFOUN 14.1  Due to proxies
compulsory Col_094/95 NACEPR2D 53.0  Due to proxies 
compulsory Col_096/98 ISCOPR3D 53.3  Due to proxies 
compulsory Col_118 - Employed AVAIREAS 100  
optional Col_133/135 COURFILD 100  Optional variable not collected

(*) "C" means all the records have the same value different from missing.
6.3.4. Processing error
Editing of statistical item non-response
Do you apply some data editing procedure to detect and correct errors? (Y/N) Overall editing rate (Observations with at least one item changed / Total Observations )
Y UNA
6.3.4.1. Imputation - rate
Imputation of statistical item non-response
Are all or part of the variables with item non response imputed? (Y/N) Overall imputation rate (Observations with at least one item imputed / Total Observations )
Y UNA
 Main variables Imputation rate  Describe method used, mentioning which auxiliary information or stratification is used 
Y UNA nearest neighbor on different variables 
6.3.5. Model assumption error

[not requested for the LFS quality report]
6.4. Seasonal adjustment
Do you apply any seasonal adjustment to the LFS Series? (Y/N) If Yes, is your adopted methodology compliant with the ESS guidelines on seasonal adjustment? (ref. http://ec.europa.eu/eurostat/web/research-methodology/seasonal-adjustment) (Y/N) If Yes, are you compliant with the Eurostat/ECB recommendation on Jdemetra+ as software for conducting seasonal adjustment of official statistics. (ref. http://ec.europa.eu/eurostat/web/ess/-/jdemetra-officially-recommended-as-software-for-the-seasonal-adjustment-of-official-statistics) (Y/N) If Not, please provide a description of the used methods and tools
N NA NA NA
6.5. Data revision - policy
Do you adopt a general data revision policy fully compliant with the ESS Code of Practice principles? (in particular see the 8th principle) (Y/N) Are you compliant with the ESS guidelines on revision policy for PEEIs? (ref. http://ec.europa.eu/eurostat/documents/3859598/5935517/KS-RA-13-016-EN.PDF) (Y/N)
 Y  Y
6.6. Data revision - practice

[not requested for the LFS quality report]
6.6.1. Data revision - average size

[not requested for the LFS quality report]


7. Timeliness and punctuality Top
7.1. Timeliness
Restricted from publication
7.1.1. Time lag - first result
Restricted from publication
7.1.2. Time lag - final result
Restricted from publication
7.2. Punctuality
Restricted from publication
7.2.1. Punctuality - delivery and publication
Restricted from publication


8. Coherence and comparability Top
8.1. Comparability - geographical

Divergence of national concepts from European concepts

(European concept or National proxy concept used) List all concepts where any divergences can be found

    
Is there a divergence between the national and European concepts for the following characteristics? (Y/N) Give a description of difference and provide an assessment of the impact of the divergence on the statistics
Definition of resident population (*)  N NA
Identification of the main job (*)  N NA 
Employment  N NA 
Unemployment  Y  There is a divergence in a concept; it relies on a definiton on unemployment only, the figures can be calculated on both ways, taking into account ILO and Eurostat approach. In general the figure on unemployment rate calculated by Eurostat and Slovenian statistical office differs for max. 0.1%
8.1.1. Asymmetry for mirror flow statistics - coefficient

[not requested for the LFS quality report]
8.2. Comparability - over time
Changes at CONCEPT level introduced during the reference year and affecting comparability with previous reference periods (including breaks in series)
Changes in (Y/N) Description of the impact of the changes Statistics also revised backwards (if Y: year / N) Variables affected Break in series to be flagged (if Y: year and quarter/N)  
concepts and definition  N  NA   NA  NA  NA
coverage (i.e. target population)  N  NA  NA  NA  NA
legislation  N  NA  NA  NA  NA
classifications  N  NA  NA  NA  NA
geographical boundaries  N  NA  NA  NA  NA

 

Changes at MEASUREMENT level introduced during the reference year and affecting comparability with previous reference periods (including breaks in series)
Changes to (Y/N) Description of the impact of the changes Statistics also revised backwards (if Y: year / N) Variables affected Break in series to be flagged (if Y: year and quarter/N)
sampling frame  N  NA NA  NA  NA 
sample design  N  NA  NA  NA  NA
rotation pattern  N  NA  NA  NA  NA
questionnaire  N  NA  NA  NA  NA
instruction to interviewers  N  NA  NA  NA  NA
survey mode (data collection)  Y CAPI was replaced with CATI in Q2 an Q4, non-contact rate increased highlly  N  all variables  N
weighting scheme  N  NA  NA  NA  NA
use of auxiliary information  N  NA  NA  NA  NA
8.2.1. Length of comparable time series

[not requested for the LFS quality report]
8.3. Coherence - cross domain
Coherence of LFS data with Business statistics data    
  Description of difference in concept Description of difference in measurement Give an assessment of the effects of the differences Give references to description of differences
Total employment Statistical Register of Employment (SRDAP): domestic concept;
LFS: national concept 

SRDAP: total coverage; coverage: persons in paid employment + self-employed persons with the employment contracts and social insurance;

LFS: survey based on sample;
coverage: persons performed at least one working hour in the reference week

 The total number of employed in the LFS is 13.4% higher than the number of employed in the Statistical Register of Employment. http://www.stat.si/statweb/File/DocSysFile/9539/07-009-1-ME.pdf
Total employment by NACE SRDAP: domestic concept;
LFS: national concept

SRDAP: total coverage;

LFS: survey based on sample; coverage: persons performed at least one working hour in the reference week

  NA  http://www.stat.si/statweb/File/DocSysFile/9539/07-009-1-ME.pdf
Number of hours worked SRDAP: domestic concept;       
LFS: national concept 		 SRDAP: total coverage;      
LFS: survey based on sample		  NA  http://www.stat.si/statweb/File/DocSysFile/9539/07-009-1-ME.pdf

 

Coherence of LFS data with registered unemployment  
Description of difference in concept Description of difference in measurement Give references to description of differences
 LFS: ILO and ES definition
Registered data: persons registered at the National employment office (Employment Service of Slovenia)		 LFS: survey
Registered data: total coverage		 http://www.stat.si/statweb/File/DocSysFile/8321/07-009-ME.pdf

 

Assessment of the effect of differences of LFS unemployment and registered unemployment     
Give an assessment of the effects of the differences          
Overall effect Men under 25 years Men 25 years and over Women under 25 years Women 25 years and over Regional distribution (NUTS-3)
LFS number of unemployed persons is 32.5% lower than registered data. LFS number of unemployed persons is 9.3% higher than registered data. LFS number of unemployed persons is 37.7% lower than registered data. LFS number of unemployed persons is 2.8% higher than registered data. LFS number of unemployed persons is 34.1% higher than registered data. UNA
8.4. Coherence - sub annual and annual statistics

[not requested for the LFS quality report]
8.5. Coherence - National Accounts
Coherence of LFS data with National Accounts data    
  Description of difference in concept Description of difference in measurement Give an assessment of the effects of the differences Give references to description of differences
Total employment NA: domestic concept
LFS: national concept		 NA: persons not living, but working in Slovenia, conscripts, unpaid workers working in the industry of goods are considered as employed persons (but not in LFS)
LFS: persons on maternity leave are considered as employed persons (but not in NA)  		  UNA  UNA 
Total employment by NACE  UNA  UNA
Number of hours worked  UNA  UNA  UNA  UNA 

 

Which is the use of LFS data for National Account Data?   
Country uses LFS as the only source for employment in national accounts. Country uses mainly LFS, but replacing it in a few industries (or labour status), on a case-by-case basis Country not make use of LFS, or makes minimal use of it Country combines sources for labour supply and demand giving precedence to labour supply sources (i.e. LFS) Country combines sources for labour supply and demand not giving precedence to any labour side Country combines sources for labour supply and demand giving precedence to labour demand sources (i.e. employment registers and/or enterprise surveys)
 N N  Y  N   N N 
8.6. Coherence - internal

[not requested for the LFS quality report]


9. Accessibility and clarity Top
9.1. Dissemination format - News release

[not requested for the LFS quality report]
9.2. Dissemination format - Publications
Please provide a list of type and frequency of publications
 First release, quarterly (4x), yearly (1x), ad hoc module results (1x)
9.3. Dissemination format - online database
Documentation, explanations, quality limitations, graphics etc.    
Web link to national methodological publication Conditions of access to data Accompanying information to data Further assistance available to users

 http://www.stat.si/StatWeb/en

 Aggregated data available to public, microdata available to researchers. Questionnaire, methodological explanations  Further assistance available via phone or email
9.3.1. Data tables - consultations

[not requested for the LFS quality report]
9.4. Dissemination format - microdata access
Accessibility to LFS national microdata (Y/N) Who is entitled to the access (researchers, firms, institutions)? Conditions of access to data Accompanying information to data Further assistance available to users
 Y Researchers The microdata are given to the resaerchers who have to sign the contract and the statement in which they state they would respect the law on personal data protection and that they would demolish the data in the given period after the end of the data usage. Along with the microdata come also the crucial information, such as: questionnaire, weighting factor, file structure (if necessary), limits for data publishing (according to CVs). Further assistance is available via phone or Email.
9.5. Dissemination format - other

[not requested for the LFS quality report]
9.6. Documentation on methodology
References to methodological notes about the survey and its characteristics
http://www.stat.si/statweb/File/DocSysFile/8357/07-008-ME.pdf
9.7. Quality management - documentation

[not requested for the LFS quality report]
9.7.1. Metadata completeness - rate

[not requested for the LFS quality report]
9.7.2. Metadata - consultations

[not requested for the LFS quality report]


10. Cost and Burden Top
Restricted from publication


11. Confidentiality Top
11.1. Confidentiality - policy

[not requested for the LFS quality report]
11.2. Confidentiality - data treatment
Please provide information on the policy for anonymizing microdata in your country
Administrative identifiers, interconnecting statistical identifiers and any other identification data shall be removed (or they shall be modified to an extent where they cannot directly identify the unit to which they relate).


12. Comment Top

[not requested for the LFS quality report]


Related metadata Top


Annexes Top