Employment and unemployment (Labour force survey) (employ)

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

Compiling agency: HELLENIC STATISTICAL AUTHORITY


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

HELLENIC STATISTICAL AUTHORITY
1.2. Contact organisation unit

LABOUR FORCE SURVEY SECTION
1.5. Contact mail address

PEIRAIOS 46 & EPOINTON str, GR 185 10, PIRAEUS, GREECE


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 ...
Survey covers private households. Private households are not covered only when the household's dwelling is outside the borders of any community. Housekeeping Memebers living together in the same dwelling and sharing food and other essentials for living Icluded in the household are persons who:

a) Have multiple residences, but stay in the household for 6 months or more

b) Work during the week in another town but return regularly in the weekends in the household

c) Persons working in merchant shipping are always considered members of the household irrespectively of the duration of absense

d) persons temporarely away (less than 6 months)

Excluded from the household are persons who:

a) are conscripts

b) Students of tertiary education studing and living in a different city

c) A person is not considered member of the household if he/she is absent more than 6 months. 

 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 Term address Family home 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)
X  
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 (continuosly updated or date of the last update) Primary sampling unit (PSU)   Final sampling unit (FSU)
 Two stage stratified sample List of cities blocks, by enumeration district , compiled at 2011 Census 1st quarter of 2019  Block of buildings  Dwelling

 

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..)
Random selection of building blocks with probability proportional to "size" (where the size is defined as the number of households residing in the building block at the time of last census. Systematic sample of dwellings within the blocks selected at first stage. Athens agglomeration is divided in 31 final strata and Thessaloniki agglomeration is divided in 9 final strata. For these areas, the strata are defined by groups of municipalities. All other NUT III areas are divided in 2 or 3 final strata. The first stratum is composed by all settlements with population 10 000 persons or more, the second is composed by all settlements with population 2 000 - 9 999 persons and the third is composed by all settlements with population 1 - 1 999 persons  206  6

 

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)
3.5% 145245

  

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)
1st quarter: 0.80%

2nd quarter: 0.79%

3rd quarter: 0.78%

4th quarter: 0.78%

 1st quarter: 36740

2nd quarter: 36477

3rd quarter: 36281

4th quarter: 35747

  

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
Design weights are calculated as the inverse of probability selection of the household (computed from the total number of housholds during 2011 census, and the expected sample size). These weights are adjusted for non - response at primary unit level. Finally, the adjusted weights are post stratified by region, sex and age.  Yes  NA  Y 0 - 14,

15 - 24,

25 - 34,

35 - 44,

45 - 54,

55 - 64,

65 - 74,

75+

 NUTS2 Level  NO

 

Brief description of the method of calculating the yearly weights (please indicate if subsampling is applyed 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
 Quarterly weights divided by 4  Y  10-years age groups  NUTS2  No 

 

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)
The mean of individual weights (that is, of all members of the household)  No  No such factors are used  No such factors are used  N
3.2. Frequency of data collection

[not requested for the LFS quality report]
3.3. Data collection
2Data collection methods: brief description Use of dependent interviewing (Y/N)? Participation is voluntary/compulsory?
Interviews are carried out on a face to face basis, with paper questionnaires or portable computers in the first wave. During 2 - 6 wave telephone interviews are also carried out (i.e. the interviewers fill in a paper questionnaire by using their own phone).  No  Compulsory

 

Final sampling units collected by interviewing technique (%)
CAPI CATI PAPI CAWI POSTAL - OTHER
  2.9  NA  97.1 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)
The LFS estimates the level of employment and unemployment. The survey is also collecting data on demographic characteristics, educational attainment, and previous work experience. As a result the LFS survey is an indispensable source of data that allow to record economic performance, quality of life, social inclusion, and socioeconomic development.
5.2. Relevance - User Satisfaction

[not requested for the LFS quality report]
5.3. Completeness
The LFS estimates the level of employment and unemployment. The survey is also collecting data on demographic characteristics, educational attainment, and previous work experience. As a result the LFS survey is an indispensable source of data that allow to record economic performance, quality of life, social inclusion, and socioeconomic development.  
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?
 Demos NUT 3 (But only annual mean of percentage of unemployment. Moreover, data for certain NUTS 3 areas with very large sampling errors in unemployment rate estimations are not published)  NUTS 2  Information of NUTS-3 area is included in the data file, from 2009 onwards
5.3.1. Data completeness - rate

Assessment of errors (bias) in the registration of unemployment

Only for those countries using registered unemployment to produce NUTS-3 level data on unemployment or labour force.
 NA


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
1 300 3 500  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 1.06 0.56 3.25 2.15 1.90 4.49 0.26
 SE 39,996 0.003 10 16.205 0.003 0.016 0.106
 CI(**) 3,687,815 - 3,844,669 60.5 - 61.8 298,994 - 339,744 723,208 - 786,756 15.7 - 16.9 31.9 - 38.1 40.1 - 40.5

 

Description of the assumption underlying the denominator for the calculation of the CV for the employment rate
The employment rate is computed under the assumption that the total poulation is a random variable (because due to the age groups we use for post stratification. the total population 20 - 64 is not known)

 

Reference on software used: Reference on method of estimation:
SPSS complex samples replicated samples estimation

 

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 
GR30  Attiki 1.96 1.04 5.83 4.16 3.86 11.59 0.46
GR41  Voreio Aigaio 5.26 2.3 17.13 10.12 8.53 17.07 1.29
GR42  Notio Aigaio 5.55 2.66 15.34 12.58 10.6 18.82 1.68
GR43  Kriti 3.6 1.67 11.26 7.24 5.79 12.95 0.73
GR51  Anatoliki Makedonia. Thraki 3.52 2.15 8.45 7.91 6.96 13.39 0.93
GR52  Kentriki Makedonia 2.5 1.37 7.26 4.72 4.07 11.01 0.64
GR53  Dytiki Makedonia 5.23 2.99 15.32 9.52 7.04 17.84 1.5
GR54  Ipeiros 5.15 2.7 14.04 8.92 7.54 19.89 1.15
GR61  Thessalia 4.42 2.29 11.81 9.21 7.95 14.21 1.29
GR62  Ionia Nisia 5.76 2.94 18.32 10.81 9.49 22.01 1.2
GR63  Dytiki Ellada 4.87 2.52 11.44 8.06 6.59 11.03 1.09
GR64  Sterea Ellada 3.96 2.42 14.5 10.31 8.84 11.01 1.05
GR65  Peloponnisos 3.89 1.67 13.04 7.7 6.95 17.18 0.92

(*) 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
  About 1.5% About 7% UNA  Population living in collective households, or in dwellings outside the borders of builded areas is not covered. Frames are compiled at census, and sampling rates are based at census population. Frames are updated at the first time when the primary sampling units are selected but not at subsequent waves.  The sample in Greek LFS is a sample of dwellings. The percentage of over-coverage is computed as the percentage of dwellings that are either used as "secondary residence" of the household or they are used solely for business purposes (e.g, a doctor's office).  UNA  The selection probabilities of PSU’s are based on the 2011 census data. Since then, significant changes have occurred in the Greek population (most important is immigration due to the economic crisis). Thus, there are likely to be issues about the accuracy of the design weights of the PSU’s.

 

(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
nErrors 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  Y (but not in the first wave)
Interviewer  Periodical training (at least 1 time per year) (Y/N)  Feedbacks from interviewer (reports, debriefings, etc.) (Y/N)
 Y (only for ad hoc modules)  N (only in informal setting)
Fieldwork  Monitoring directly by contacting the respondents after the fieldwork  (Y/N) Monitoring directly listening interviews, (Y/N) Monitoring remotely through performance indicators (Y/N)
 N  N  Y (Rate of non-responce/identification of primary sampling units with zero changes from quarter to quarter)
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  Non-response adjustment is implemented at primary sampling unit level The design weights are multiplied by (Number of eligible dwellings in primary sampling units/Number of responding households in the sampling unit)
Substitution of non-responding units (Y/N) Substitution rate Criteria for substitution
 N  NA  NA
Other methods (Y/N) Description of method
 N  NA

 

Rates of non- response by survey mode. Annual average
Survey
CAPI CATI  PAPI  CAWI  PO
50.5 NA 35.0 NA  NA 

 

Non-response rates by survey mode. Annual average (% of the theoretical yearly sample by survey mode)
Quarter Non response rate
Total (%)  Refusals (%) Non-contacts (including people who migrated (or moved) internally or abroad) (%) of which people who migrated (or moved) internally or abroad (%)
1 32.6  9.3  12.3 UNA 
2 33.3  9.5  12.3 UNA 
3 36.3  10.3  13.9 UNA 
4 39.5  11.2  15.3 UNA 
Annual  35.5  10.0  13.5 UNA 

   

Units who refused to participate in the survey (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 589 584    
Subsample_Q1_2019 553 579    
Subsample_Q2_2019 524 544 539  
Subsample_Q3_2019 557 569 577 596
Subsample_Q4_2019 529 535 545 565
Subsample_Q1_2020 539 552 579 593
Subsample_Q2_2020   30 716 741
Subsample_Q3_2020     733 760
Subsample_Q4_2020       764
Total in absolute numbers 3291 3393 3689 4019
Total in % of theoretical quarterly sample 9.3 9.5 10.3 11.2

 

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 531 563    
Subsample_Q1_2019 567 573    
Subsample_Q2_2019 766 787 781  
Subsample_Q3_2019 706 704 674 678
Subsample_Q4_2019 613 638 619 607
Subsample_Q1_2020 1224 1172 1070 1104
Subsample_Q2_2020   13 867 920
Subsample_Q3_2020     955 981
Subsample_Q4_2020       1187
Total in absolute numbers 4407 4450 4966 5477
Total in % of theoretical quarterly sample 12.3 12.3 13.9 15.3

 

 

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 NA      
Subsample_Q1_2019 NA NA    
Subsample_Q2_2019 NA NA NA  
Subsample_Q3_2019 NA NA NA NA
Subsample_Q4_2019 NA NA NA NA
Subsample_Q1_2020 NA NA NA NA
Subsample_Q2_2020   NA NA NA
Subsample_Q3_2020     NA NA
Subsample_Q4_2020       NA
Total in absolute numbers NA NA NA NA
Total in % of theoretical quarterly sample NA NA NA NA

 

Non-response rates. Annual averages (% of the theoretical yearly sample)
NUTS-2 region (code + name)  Non response rate (%)
GR30 Attiki  53.0
GR41 Voreio Aigaio  19.9
GR42 Notio Aigaio  25.6
GR43 Kriti  31.1
GR51 Anatoliki Makedonia, Thraki  26.1
GR52 Kentriki Makedonia  31.7
GR53 Dytiki Makedonia  22.6
GR54 Ipeiros  40.0
GR61 Thessalia  33.4
GR62 Ionia Nisia  37.0
GR63 Dytiki Ellada  33.4
GR64 Sterea Ellada  29.9
GR65 Peloponnisos  20.6

* 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_039/40 COUNTRYW . . C .

 

In general, LFS find very few people working abroad
compulsory Col_110 - Employed METHODH . . . C There are answers in this category (72). The small number of cases (half of the usual in previous years) probably reflects the consequenses of COVID crisis which prevents people from starting there own business 
compulsory Col_111 - Employed METHODI . . C . There are answers in this category (84). The small number of cases (half of the usual in previous years) probably reflects the consequenses of COVID crisis which prevents people from starting there own business 

 

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_053 TEMPREAS 12.6  In the Greek Questionnaire there is the (residual) answer category "Did not specify the reason" (which is converted in "No answer"). However, as non-response varies considerably across areas, recommendations have been given to staff and interviewers in order to get more accurate answers. 
compulsory Col_118 - Employed AVAIREAS 18.5  In the Greek Questionnaire there is the (residual) answer category "Did not specify the reason" (which is converted in "No answer"). However, as non-response varies considerably across areas, recommendations have been given to staff and interviewers in order to get more accurate answers. 
compulsory Col_154/155 INCDECIL 11.7  It is a sensitive question in which people tend to refuse to answer. In order to reduce non-response the 2019 questionnaire also includes income bands and as a result the non response decreased (from about 15% to 10.9%) 
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
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)
 N  NA
 Main variables Imputation rate  Describe method used, mentioning which auxiliary information or stratification is used 
 NA  NA   
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 reccomendation 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  ELSTAT's revision policy is detailed in http://www.statistics.gr/documents/20181/a49dca9a-dacf-4b52-b5df-b156216cb354
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 

 

(*) See LABOUR FORCE SURVEY - EXPLANATORY NOTES (TO BE APPLIED FROM 2016Q1 ONWARDS)
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
  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  UNA   UNA   UNA  UNA 
Total employment by NACE  UNA   UNA   UNA  UNA 
Number of hours worked  UNA   UNA   UNA  UNA 

 

Coherence of LFS data with registered unemployment  
Description of difference in concept Description of difference in measurement Give references to description of differences
Persons are included in the unemployment register, by contacting unemployment office and declaring themselves as unemployed.  As a consequence, persons with "small" jobs or part-timers, can be included in registered unemployment. At the same time, it is not always the case that someone who is LFS unemployed is registered at the unemployment office. LFS estimations are the “mean” of 13 estimations that record unemployment level for each reference week. Registered unemployment estimations record the number of unemployment at the end of each month  UNA

 

Assessment of the effect of differences of LFS unemployment and registered unemployment     


Annexes:
DIFFERENCE LFS-REGISTER UNEMPLOYMENT_2020
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 Only population in private households is included in LFS National accounts use LFS in combination with other sources, (Structural Business Surveys, Survey on Mines, Quarries and Salterns etc,) available administrative data, etc. for the estimation of employment.  National Accounts estimates are going to be available after September 2021  UNA
Total employment by NACE  NACE SECTOR 99 is not included in NA  In LFS the estimation of number of persons in each NACE category is based in the reported by the respondent activity of the local unit.  National Accounts estimates are going to be available after September 2021  UNA 
Number of hours worked  UNA  UNA  National Accounts estimates are going to be available after September 2021  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  YES  N  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
Press Releases:
  • Labour Force Survey Monthly results
  • Labour Force Survey Quarterly results 

Published in ESLTAT website, path: Population and Social Conditions > Labour Market > Employment – Unemployment, http://www.statistics.gr/en/statistics/pop

Publications

Labour Force estimations are included in the following editions, accesibe at ELSTAT’s website www.statistics.gr

o The Greek Economy (fortnight edition, “e-publications” link)

o Living Conditions in Greece (bimonthly edition, “e-publications” link)

o Greece in Figures (quarterly edition, “e-publications” link)

 
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
 UNA   UNA   UNA   UNA
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  All the above Access to statistical data can be achieved either by our website or by an e-mail or by direct contact to agencies' library. Data are free of charge.  Code book, Survey questionnaire >Users can communicate directly with the LFS section and get information on available datasets, formats, etc. 
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

The following scientific publications available only in the Greek language:

 Ανασχεδιασμός του δείγματος της Έρευνας Εργατικού Δυναμικού 1998 και εξής, Ν Πανταζίδης

Αποτελεσματικότητα των εκτιμήσεων της Έρευνας Εργατικού Δυναμικού 1998 και εξής, Ν Πανταζίδης

Documents are available in pdf format (only in the Greek language), upon request

Short methodological notes and survey questionnaires are available at ELSTAT website, path Population and Social Conditions > Labour Market > Employment – Unemployment, http://www.statistics.gr/en/statistics/pop .
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 anonimizing microdata in your country
ELSTAT protects and does not disseminate data it has obtained or it has access to, which enable the direct or indirect identification of the statistical units that have provided them by the disclosure of individual information directly received for statistical purposes or indirectly supplied from administrative or other sources. ELSTAT takes all appropriate preventive measures so as to render impossible the identification of individual statistical units by technical or other means that might reasonably be used by a third party. Statistical data that could potentially enable the identification of the statistical unit are disseminated by ELSTAT if and only if:

a) these data have been treated, as it is specifically set out in the Regulation on Statistical Obligations of the agencies of the Hellenic Statistical System (ELSS), in such a way that their dissemination does not prejudice statistical confidentiality or b) the statistical unit has given its consent, without any reservations, for the disclosure of data.

  • The confidential data that are transmitted by ELSS agencies to ELSTAT are used exclusively for statistical purposes and the only persons who have the right to have access to these data are the personnel engaged in this task and appointed by an act of the President of ELSTAT. 
  • Issues referring to the observance of statistical confidentiality are examined by the Statistical Confidentiality Committee (SCC) operating in ELSTAT. The responsibilities of this Committee are to recommend on: 
  1. the level of detail at which statistical data can be disseminated, so as the identification, either directly or indirectly, of the surveyed statistical unit is not possible; 
  2. the anonymization criteria for the microdata provided to users; 
  3. the granting to researchers access to confidential data for scientific purposes. 

When data are disseminated in a form that would potentially allow direct or indirect identification of a person, (e.g micro data set), a certain set of rules is applied in order to prevent unauthorized disclosure:

  • Non-inclusion of the full name of individuals, the postal address of their dwelling and the Municipality where their dwelling is located. 
  • Non-inclusion of the Department where the individuals’ dwelling is located.
  • Non-inclusion of the reference week of the quarterly survey data.
  • Inclusion of the Region (NUTS 2) where the individuals’ dwelling is located.
  • Inclusion of the degree of urbanisation of the Municipal/Local Community where the individuals’ dwelling is located, on the basis of :

    a) the most populated settlement, broken down into three (3) categories: urban, semi-urban and rural and

    b) the population density, broken down into three (3) categories: high; medium; and low density. 

  • Inclusion of the extrapolation factor of households and individuals.
  • Inclusion of the age of individuals, with the exception of those aged over 85 years, who will appear under one category.
  • Inclusion of the citizenship of individuals, broken down into three (3) categories: Greek, EU Member States, Other countries.
  • Inclusion of the country of birth of individuals, broken down into three (3) groups: Greece, EU Member States and Other countries.
  • Inclusion of the family status of individuals, broken down into three (3) categories: a) single, b) married or in a civil partnership and c) widowed / divorced /separated.
  • Inclusion of the occupational status of individuals, broken down into three (3) categories: self-employed (with or without staff), salaried employees and assistants in the family business.
  • Inclusion of the number of employed persons of the local units in which the individuals work, broken down into the following size classes 1-10, 11-49, 50-249, 250 and over employees.
  • Inclusion of the occupation of individuals, by 2-digit ISCO code.
  • Inclusion of the branch of main economic activity of the enterprises in which the individuals work, by 2-digit NACE code.
  • Inclusion of the working hours of individuals, with the exception of individuals whose working hours exceed eighty (80) hours, who will appear under one category.
  • Information on wave will be suppressed in order to prevent users from tracking persons between successive sets of microdata.

 In specific cases, and after the approval of the confidentiality committee of ELSTAT, some of these rules can be relaxed.


12. Comment Top

[not requested for the LFS quality report]


Related metadata Top


Annexes Top