Employment and unemployment (Labour force survey) (employ)

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

Compiling agency: Statistical Office of the SR


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)
 



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1. Contact Top
1.1. Contact organisation

Statistical Office of the SR
1.2. Contact organisation unit

Department of Labour and Education Statistics
1.5. Contact mail address

Statistical Office of the Slovak Republic
Miletičova 3
824 67 Bratislava


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 ...
 All persons aged 15 and over living in the household of the selected dwelling without regards to permanent, temporary or unregistered stay. Data for the students living in hostels, schoolchildren living in boarding schools and persons living temporarily in worker homes are collected within the households to which they belong. Other population in institutions (prisons, mental institutions, convents, etc.) and foreign citizens with temporary stay are excluded. From the first quarter of 1997 to the fourth quarter of 2005 the conscripts on compulsory military service were included in the LFS. Housekeeping Members living regularly together in the same dwelling sharing income, household expenditures, food and other essentials for living. A sequence number of person in the household is allocated to each member and it remains the same for all waves   15+

 

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 Family home Family home Term address

 

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)                                  
 Y  N
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)
 Two-stage stratified sample  Population Census 2011  Since the first quarter 2020  Census Administrative Units (CAU)   Dwelling units

 

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.)
1st stage: the Census Administrative Units in all districts are selected. The selection probability of each CAU is proportional to its population size (CAU may be selected several times). Number of selected CAU in every district proportionally equals to the population as of December, 2011 in each district. 2nd stage: simple random sampling - sampling of 5 dwellings from each CAU selected in the 1st stage (if CAU was selected twice, 10 dwellings would be selected in the CAU, if three times 15 dwellings and so on).  strata:region  208  5

 

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)
 2.4 % of all permanently occupied dwellings  41 000 dwellings

  

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)
 0.6 %  of all permanently occupied dwellings  10 250 dwellings

  

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
 Data from the survey for all persons participating in the survey were weighted by administrative data on total population (including institutional population) as of Jan. 1, 2020 by region, sex and age groups.
Extrapolation to the population is done at the level of individuals. The average sample size was 18 541 persons (aged 15 and over). The population and the sample are the subject of a post-stratification by NUTS-3 administrative region (8 regions altogether), sex and five-year age groups . In each of the strata thus obtained the weight w(i) is assigned to each person in the sample: 
   w(i)=N(i)/n(i)
   where
     N(i) - the number of persons in stratum i of population (age 15+)
     n(i) - the number of persons in stratum i of the sample (age 15+)		  N The sum of weights represents the total population  Y  15-19, 20-24, ..., 70-74, 75+  NUTS 3  NA

 

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. NUTS 3)? Other weighting dimensions
 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)
 NA  NA  NA  NA  NA
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?
 The data are collected by face-to-face interviews (the 1st visit is conducted in the household) or telephone interviews (most of the 2nd – 5th visits) by regional interviewers using CAPI, CATI, PAPI Y   compulsory

 

Final sampling unit collected by interviewing technique (%)
CAPI CATI PAPI CAWI POSTAL - OTHER
 14.9  66.2  19.0  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)
 LFS employment and unemployment data have important influence on policy makers, media and academic research.
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?
 NUTS 4 and NUTS 5  NUTS 3  NUTS 3  Annual average from LFS dataset
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
2500 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  0.45  0.40  3.41  2.38  2.34  5.07  0.17
 SE  11.27  0.29  3.77  4.31  0.16  0.97  0.06
 CI(**) 2460.8;2504.96 0.72;0.72 103.10;117.88 172.99;189.89 6.39;7.00  17.44;21.24 33.44;33.67

 

Description of the assumption underlying the denominator for the calculation of the CV for the employment rate
 Population aged 20/64

 

Reference on software used: Reference on method of estimation:
 SAS, Excel  linear estimation of standard errors for stratified sampling (strata: regions on NUTS-3 level, 5-year age groups [15-19, 20-24, 25-29, ...,70-74, 75+] and sex)

 

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 
 SK01 Bratislavsky kraj  1.17  1.02 11.33  10.90  10.80  35.40  0.56
 SK02 Zapadne Slovensko  0.74  0.64 5.77   4.28  4.23  9.35  0.28
 SK03 Stredne Slovensko  0.94  0.84 6.80   4.74  4.65  9.55  0.38
 SK04 Vychodne Slovensko  0.90  0.79  6.06  3.61  3.50  7.10  0.29

 

(*) 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
 UNA  UNA  N The LFS sample is based on a Population Census conducted once a ten years (last time in 2011). There is the lack of information on new statistical units during a rather long period. Errors as for information on addresses of dwellings; missing coverage of collective households,  persons living in convents, partially student halls of residence (although they are surveyed via other members of the households), members of the Slovak embassies and institutions abroad.  Under-coverage comprises people born abroad and living in collective houses Mainly young residents working temporarily abroad can stay to live there Misclassification by incorrect identification is negligible  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 2019 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)?
Y Thoroughly reassessed each code and wording of all questions. Updated items were discussed within the LFS expert team.  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  Y
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  N  N
Questionnaire  Questionnaire in several languages (Y/N)  On-line checks (for computer assisted interviews (Y/N)
 N  Y
Other / Comments  Focus on measurement errors through the check controls
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
 N  NA  Weighting for posterior stratification using demographic data by 8 regions, sex and 14 age groups
Substitution of non-responding units (Y/N) Substitution rate Criteria for substitution
 Y  7.8%  Slovakia replaces not all non-responding units at the first wave, substitution is perfomed only in case if the unit is not inhabited, does not exist or long-term absence of owner; other reasons for non-response as refusals (categoric, conditional)  are given always as non-response categories in the final non-response report
Other methods (Y/N) Description of method
 Y  The method copying information from previous waves but could be used only in very exceptional circumstances and only for one of five waves.

  

Rates of non-response by survey mode. Annual average
Survey
CAPI CATI  PAPI  CAWI  POSTAL
 UNA  UNA  UNA  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 (%) NA
1 20.61 14.54 0.0  UNA
2 18.1 11.75  0.04  UNA 
3 20.28 16.9  0.08  UNA 
4 21.48 16.72  0.03  UNA 
Annual  20.12  14.98  0.04  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_Q1_2019  316      
Subsample_Q2_2019  326   339    
Subsample_Q3_2019  348  358   365  
Subsample_Q4_2019  264  272  285  295
Subsample_Q1_2020  236  359  370  379
Subsample_Q2_2020    279  429  433
Subsample_Q3_2020      283  294
Subsample_Q4_2020        313
Total in absolute numbers  1490  1607  1732  1714
Total in % of theoretical quarterly sample  14.54  11.75  16.9  16.72

 

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_Q1_2019  14      
Subsample_Q2_2019  18   18    
Subsample_Q3_2019  12   9   14  
Subsample_Q4_2019  13   15  17  14
Subsample_Q1_2020  320  210  30  29
Subsample_Q2_2020    140  24  23
Subsample_Q3_2020      10  12 
Subsample_Q4_2020        38
Total in absolute numbers  377  392  95  116
Total in % of theoretical quarterly sample  3.68  3.82  0.93  1.13

 

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) NA
Subsample Quarter1_2020 Quarter2_2020 Quarter3_2020 Quarter4_2020
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        
Total in % of theoretical quarterly sample        

 

Non-response rates. Annual averages (% of the theoretical yearly sample)
NUTS-2 region (code + name)  Non response rate (%)
 SK01-Bratislavsky kraj  17.19
 SK02-Zapadne Slovensko  23.68
 SK03-Stredne Slovensko  21.3
 SK04-Vychodne Slovensko  16.1

* 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_028 SIGNISAL C . . .  Each quarter includes different values of the code 1.
compulsory Col_101 - Employed SEEKTYPE 15 18.9 17.2 18  Missing of appropriate code for those who are looking for any job (no preference between self-employed and employees) causes higher value of non-response.
compulsory Col_101 - Not employed SEEKTYPE 11.2 10.9 11.8 13.7  Missing of appropriate code for those who are looking for any job (no preference between self-employed and employees) causes higher value of non-response.
compulsory Col_110 - Employed METHODH C C C C  Methods used in job seeking have the same question "State all methods you used during the last 4 weeks to find work"
compulsory Col_111 - Employed METHODI C C C C  Methods used in job seeking have the same question "State all methods you used during the last 4 weeks to find work"
compulsory Col_114 - Employed METHODL C C C .  Methods used in job seeking have the same question "State all methods you used during the last 4 weeks to find work"
compulsory Col_115 - Employed METHODM C . C C  Methods used in job seeking have the same question "State all methods you used during the last 4 weeks to find work"
compulsory Col_115 - Not employed METHODM C . . C  Methods used in job seeking have the same question "State all methods you used during the last 4 weeks to find work"

 

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
N NA NA NA NA

(*) "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  total units
 Main variables Imputation rate  Describe method used, mentioning which auxiliary information or stratification is used 
INCDECIL  100%  data from Structure of Earnings Survey
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
 Y  Y  Y 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 N   NA
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 N   NA  NA  NA  NA
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 The enterprises provide also data on jobs of persons living in collective houses
The business statistics doesn´t describe situation in shadow economy		 The business data don’t include:
 women on maternity leave
 persons employed by foreign companies abroad		 In comparison with the business data the LFS survey offers more integrated overview on labour market
In the structure of main job the LFS employment exceeds the data from enterprises while in additional job the situation is contrary 

publications only in Slovak:

Viera Hajnovicova:
Konstrukcia uctov prace v SR,
Infostat 2002
Zamestnanost v SR, krajoch a okresoch, SU SR
Total employment by NACE Use of NACE classification by main activity of whole company The business data are different in all categories of industry and services; persons working through personal agencies are covered by section N The LFS employment exceeds business data  most above in industry  Zamestnanost v SR, krajoch a okresoch, SU SR
Number of hours worked Number of hours worked are surveyed as  hours worked actually in compliance with ILO definition  The business surveys don’t provide information on hours worked in the category of self-employed Absence of relevant analysis   Zamestnanost v SR, krajoch a okresoch, SU SR

 

Coherence of LFS data with registered unemployment  
Description of difference in concept Description of difference in measurement Give references to description of differences
Central Office of the Labour, Social Affairs and Family (under the Ministry of Labour, Social Affairs and Family of the SR) through the net of regional offices gathers information on registered unemployment in accordance with the national Act No.5/2004 on Employment Services, which is significantly differ from ILO definition http://www.upsvar.sk/obcan/kto-moze-byt-evidovany-na-urade.html?page_id=12847 The registered unemployed persons are those who fully comply with provisions of the Act No 5/2004 Employment Services; e.g. the students and pensioners are excluded while according to ILO definition the unemployed persons are included in these categories of residents, jobseekers carrying out gainful activity for which the wage or remuneration does not exceed the prescribed amount are registered etc. open English version of

https://www.upsvr.gov.sk/obcan/kto-moze-byt-evidovany-na-urade.html?page_id=12847&lang=en

 

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)
Total  Reg.Un. by 17.6% less  Reg.Un. by 9.3% more  Reg. Un. by 10.8%more  Reg.Un. by 30.4% more Reg. Un. by 15.5% more
Bratislavsky region by 60% more by 46.5% more by 16.7% more by 16.7% more by 30.3% more
Trnavsky region by 28.6% less by 8.3% less 0.0% by 13.6% more by 1.4% less
Trenciansky region 0.0% by 47.8% more 400% more  by 32.1% more by 40.9% more
Nitriansky region by 29.4% less by 0.0% less by 0.0% less by 32.4% more by 10.8% more
Zilinsky region by 11.1% less by 3.4% more by 45.5% more by 36.1% more by 16.9% more
Banskobystricky region by 33.3% less by 8.9 more by 26.7% more by 86.4% more by 30.9% more
Presovsky region by 5% more by 10.6% less by 5.6% less by 4.5% more by 2.7% less
Kosicky region by 33.3% less by 34.1% more 10.7% less by 42.5% more by 24.8% more
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  National Accounts data are based on ESA95 methodology.  Total employment includes employees and self-employed persons with one or  main job (paid employment).
NA data are constructed as a balance between LFS data adjusted to the domestic concept and the figures from the business surveys and administrative sources. 		  For the construction of NA data the LFS data are adjusted according to the coverage and the domestic concept. Items included:
- employed persons living in the collective households (students, clergy,prisoners)
- non-residents who work in Slovakia (less then 1 year)
- employees of the Slovak embassies and other representative institutions abroad
- Slovak military members serving abroad                                        Items subtracted:
-  number of residents who work abroad (less than 1 year)
-  persons on active labour market measures
-  employees of the foreign embassies in Slovakia		  Data of employees in the main job according to the methodology of NA (business surveys) in comparison with adjusted LFS data show lower values;
less relevant differences are in the number of self-employed in the main job .
Total employment of NA takes into account women on maternity leave taken from LFS

 Publications only in Slovak:

V. Hajnovicova:
Konstrukcia uctov prace v SR,
Infostat 2002
ESA95
(chapter IX: Population and labour input
Total employment by NACE  Use of NACE classification by main activity of whole company (Business survey)  NA data:  NACE classification of the statistical units according to administrative register of SOSR and business surveys.  LFS data: NACE of employer according to the answers of respondents.  Total numbers are accepted from LFS but breakdown into the branches are taken from business surveys.  Differences by economic activity are more visible in some branches  V. Hajnovicova:Konstrukcia uctov prace v SR,
Infostat 2002
Number of hours worked   ESA95 concept of hours worked is in accordance with ILO definition  NA takes into account  the data from business surveys for employees and the LFS data for self-employed (weekly hours worked)   The LFS provides the only information on average weekly hours worked.  Business surveys give information on the total hours worked for reference period.  V. Hajnovicova:Konstrukcia uctov prace v SR, 2002

 

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 Nlabour 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  N  N  N  Y
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
Two months after the calendar quarter the main LFS indicators are released on the Internet website of the SO SR in the part of indicators on economic development (www.statistics.sk), as well as since 2005 the new statistical database Slovstat, today DATACUBE which provides the information on labour market including the latest data of the previous quarter 10 days after the press release. Registered users (registration is obligatory) can obtain the labour market figures classified by sex, age, education, economic activity, occupation etc. All data of the database are available free of charge.

The LFS results are quarterly published and provided to users: national and regional institutions, Slovak academy of Science, universities and research institutes. Bilingual Slovak-English edition (from 2007) is delivered to Eurostat, ILO and OECD and since 2009 is available in pdf format on the web site.

Micro-data are regularly transmitted to Infostat (Institute for informatics and statistics in Bratislava) and Eurostat.

Flash estimates of Gross domestic product and Total employment (according to ESA 95) for the reference quarter are presented as the number of employed persons (employees and self-employed) 6 weeks after the calendar quarter taking into account the LFS developments.

The LFS regional data on employment and unemployment are available through the database DATACUBE since 2007.

Regularly issued Statistical Yearbook since 2001 is completed of CD-ROM with main information on annual national data.
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
Link to the national web page (national language(s)):

http://portal.statistics.sk/showdoc.do?docid=5613
 http://portal.statistics.sk/showdoc.do?docid=95

Link to the national web page (English):

http://portal.statistics.sk/showdoc.do?docid=7954   
http://portal.statistics.sk/showdoc.do?docid=3158

 The Statistical Information Service performs direct sales in the shop. The Electronic Information Service (ELIS) allows to buy the statistical publications in electronic form. It is possible to send the order with requested publication tittles by e-mail to the address Information Services (www.statistics.sk). Tables, graphs, seasonally adjusted data, quarterly analysis, methodological notes, weighting, standard errors, labour force flows and confidence intervals and limitations  Methodological consultations
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, institutions, universities  bilateral signed agreement  microdata are without direct identifier  NA
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
 on the official web site: www.statistics.sk
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
 According to the recommendations of Eurostat


12. Comment Top

[not requested for the LFS quality report]


Related metadata Top


Annexes Top