Employment and unemployment (Labour force survey) (employ)

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

Compiling agency: Statistical Service of Cyprus


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

Download


1. Contact Top
1.1. Contact organisation

Statistical Service of Cyprus
1.2. Contact organisation unit

Methodology, Statistical Dissemination, Prices, Labour Market, Labour Costs and ICT Surveys
1.5. Contact mail address

Michael Karaolis Str., 1444 Nicosia, Cyprus


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 ...
 Government Controlled Areas Housekeeping   Usual residence concept with a 12 month reference period for the duration of stay. The housekeeping concept is used with criteria of provide themselves with essentials for living and share expences.  Excluded: Tertiary students studying abroad  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 Term address Most of the time - Family home if away for less than 12 months Family home Place where the child is found during the reference week

 

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)
 One stage stratified sampling plan and within each stratum simple randon sampling is used  Population Census of 2011 households frame  In 2020, the Population Census of 2011 households frame, was updated with the domestic consumers of electricity which were connected after the Census date. These were obtained from the Electricity Authority of Cyprus.  NA  The final sampling unit within each stratum is the household. If the selected household does not exist anymore at the moment of the survey in the field, or the household moved in the meantime, the NEW household(s) staying at the same address is(are) interviewed.

 

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  The sample is proportionally distributed according to the number of households in 9 strata. Refusals, non-contacts and households unable to respond are NOT substituted.  The variables used for stratification are the regions at District level and the classification in urban/rural areas.  9 strata.  Each sample consists of 6 waves, 5 of which are carried over from the previous quarter. Each household is interviewed 6 times consecutively before being rotated out of the sample.

 

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)
  2.0%  The yearly sample size is approximately 6.900 households (overlapping households in different waves are not counted).

  

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)
1.4%   The quarterly sample size is approximately 4.600 households.

  

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
 The design weights, i.e. the inverse of the probabilities of inclusion of the households in the sample are calculated and adjusted for non-response in each stratum. The adjusted weights for non-response are then calibrated. The calibration variables are age and sex.  Y  NA  Y  Five-year age groups.  NA urban / rural

 

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)
  The design weights, i.e. the inverse of the probabilities of inclusion of the households in the sample are calculated and adjusted for non-response in each stratum. The adjusted weights for non-response are then calibrated. The calibration variables are age and sex.   Estimates of the number of households which are obtained from the Demography sector of Cystat are used.  Number of households.   Gender, age and districts breakdown in urban / rural  Y

The variables used for stratification are the Districts and the urban/rural areas within each district.
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?
 Data are collected with face-to-face interviews using CAPI in the first wave and with telephone interviews using CATI in all other waves. During the (n+1)th interview, interviewers try to reach the respondents of the previous wave plus the non-contacts and the other reasons. Refusals are not tried to be reached again. Also houses that were empty, or were second homes, or served as establishments etc. are revisited during the n+1 interview, for a re-confirmation of their status or not. If a household is found, then it is interviewed.       Y  Compulsory

 

Final sampling unit collected by interviewing technique (%)
CAPI CATI PAPI CAWI POSTAL - OTHER
 9.74  90.26  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)
 High
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?
 CY  CY  CY  NA
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 1500  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 0.65 0.64  3.86 4.17 4.15 8.67 0.35
 SE 2597.55  0.48  1531.38  1431.46  0.32  1.58  0.13 
 CI(**) 396995-407177  74.00-75.86   36623-42627  31485-37097 7.00-8.24  15.13-21.33  37.59-38.11 

 

Description of the assumption underlying the denominator for the calculation of the CV for the employment rate
 The denominator of the employment rate is treated as a polulation figure without sample variance.

 

Reference on software used: Reference on method of estimation:
 SAS & R (package sampling)  The estimation of the sampling errors is based on Simple Random Sampling Theory, taking calibration of weights into account. The function VAREST of the package sampling in R is used.

 

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 
 NA  NA  NA   NA   NA   NA   NA   NA   NA 

 

(*) 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
 1.97  N  UNA The sample was drawn from the Census of Population household frame of 2011. In a post enumeration survey conducted after the census, an undercoverage of 1.97% was estimated.   N UNA  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)?
 N  NA NA  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 (Assurance to respondents of the confidentiality of the data collected)  N
Interviewer  Periodical training (at least 1 time per year) (Y/N)  Feedbacks from interviewer (reports, debriefings, etc.) (Y/N)
 Y (Indepth training on the questionnaire is provided and also close contact with the interviewers throughout the survey)  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  Y
Questionnaire  Questionnaire in several languages (Y/N)  On-line checks (for computer assisted interviews (Y/N)
 Y (In Greek and English - The questions asked are clear and simple so that they are easily understood by the interviewers and the respondents)  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  None  The response rate is calculated in each stratum and the initial design weight N/n is adjusted to N/n*p where N=number of households in the stratum in the sampling frame, n=number of households in the stratum in the selected sample and p=response rate in the stratum.
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  POSTAL
 7.93  5.81  NA  NA  NA

 

Non-response rates by survey mode. Annual average (% of the theoretical yearly sample by survey mode)
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  5.92  1.97 3.39  NA
2  5.57  2.02 3.17  NA
3  6.3  2.06 3.56  NA
4  6.27  2.38 3.26  NA
Annual  6.02  2.11 3.35   NA

 

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  Wave6 - 7      
Subsample_Q1_2019  Wave5 - 13  Wave6 - 12    
Subsample_Q2_2019  Wave4 - 15  Wave5 - 15  Wave6 - 15  
Subsample_Q3_2019  Wave3 - 16  Wave4 - 18  Wave5 - 18  Wave6 - 18
Subsample_Q4_2019  Wave2 - 12  Wave3 - 12  Wave4 - 11  Wave5 - 15
Subsample_Q1_2020  Wave1 - 14  Wave2 - 13  Wave3 - 13  Wave4 - 13
Subsample_Q2_2020    Wave1 - 9  Wave2 - 11  Wave3 - 15
Subsample_Q3_2020      Wave1 - 13  Wave2 - 14
Subsample_Q4_2020        Wave1 - 19
Total in absolute numbers  77  94  81  94
Total in % of theoretical quarterly sample  1.97 2.02   2.06  2.38

 

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  Wave6 - 16      
Subsample_Q1_2019  Wave5 - 17  Wave6 - 16    
Subsample_Q2_2019  Wave4 - 22  Wave5 - 21  Wave6 - 19  
Subsample_Q3_2019  Wave3 - 17  Wave4 - 16  Wave5 - 22  Wave6 - 19
Subsample_Q4_2019  Wave2 - 22  Wave3 - 21  Wave4 - 17  Wave5 - 10
Subsample_Q1_2020  Wave1 - 39  Wave2 - 23  Wave3 - 16  Wave4 - 20
Subsample_Q2_2020    Wave1 - 27  Wave2 - 32  Wave3 - 23
Subsample_Q3_2020      Wave1 - 34  Wave2 - 27
Subsample_Q4_2020        Wave1 - 30
Total in absolute numbers  133 124  140  129 
Total in % of theoretical quarterly sample  3.39 3.17  3.56  3.26 

 

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 wave 6-NA      
Subsample_Q1_2019 wave 5-NA wave 6-NA    
Subsample_Q2_2019 wave 4-NA wave 5-NA wave 6-NA  
Subsample_Q3_2019 wave 3-NA wave 4-NA wave 5-NA wave 6-NA
Subsample_Q4_2019 wave 2-NA wave 3-NA wave 4-NA wave 5-NA
Subsample_Q1_2020 wave 1-NA wave 2-NA wave 3-NA wave 4-NA
Subsample_Q2_2020   wave 1NA wave 2-NA wave 3-NA
Subsample_Q3_2020     wave 1-NA wave 2-NA
Subsample_Q4_2020       wave 1-NA
Total in absolute numbers Total-NA Total-NA Total-NA Total-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 (%)
 NA  NA

* 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  
compulsory Col_039/40 COUNTRYW C C C C Country is always CY
compulsory Col_104 - Employed METHODB . . . C Rare method to use for searching
compulsory Col_110 - Employed METHODH . C C C Rare method to use for searching
compulsory Col_110 - Not employed METHODH . . . C Rare method to use for searching
compulsory Col_111 - Employed METHODI C C C C Rare method to use for searching
compulsory Col_111 - Not employed METHODI . . . C Rare method to use for searching
compulsory Col_114 - Employed METHODL . . C C Rare method to use for searching

 

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_055 TEMPAGCY C There are no temporary agencies in Cyprus

(*) "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 )
 N  NA
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 )
 N  NA
 Main variables Imputation rate  Describe method used, mentioning which auxiliary information or stratification is used 
 NA  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 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 - There is a national revision policy published on Cystat's website which includes a list of scheduled revisions and can be found at the following link: http://www.mof.gov.cy/mof/cystat/statistics.nsf/releasecalendar_en/releasecalendar_en?OpenDocument  Y - The national revision policy is in line with the revision policy for PEEIs
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  LFS data is collected from private households only and refer to physical persons employed while Business statistics data is collected from local units/enterprises excluding Agriculture/Fishing and refer to the full-time equivalent number of working persons.  UNA  UNA  UNA
Total employment by NACE  Same as above  UNA  UNA  UNA
Number of hours worked  For Business statistics data, hours worked are only collected for part-timers  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
 Registered Unemployment does not comply fully to the definition of unemployment according to Commission Regulation (EC) no 1897/2000. Registered Unemployment excludes self-employed persons, persons seeking part-time employment, as well as persons seeking work in a specific location (area) and for a specific employer.  UNA  UNA

 

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)
  Registered unemployment underestimates young males, young females, old males and old females.  UNA  UNA  UNA  UNA  NA
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 LFS data is collected from private households only (and cover persons who stay or intend to stay in the country for at least 1 year) while National Accounts data take into consideration employment from all different sources (LFS, Business Statistics on Employment and administrative sources) in order to cover all persons who work in the economic territory of the country. LFS does not cover foreign seasonal workers, conscripts and Turkish Cypriots who work in the Government Controlled Area but reside in the Occupied Areas.  UNA  UNA
Total employment by NACE  Same as above  Same as above  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 (Minimal use of it - Country makes use of it only on a yearly basis and not on a quarterly basis)  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
 Word file - Quarterly Press Release  

Excel file - Quarterly publication with main indicators and main tables
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
 https://www.cystat.gov.cy/el/default?OpenForm&sub=1&sel=3#  NA  NA  NA
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, research institutions  Has to be a research institution   Y - metadata   Users can contact the LFS team
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

 Methodological information in the form of an ESMS report accompanies the data and can be found on the web site of CYSTAT:

https://www.cystat.gov.cy/en/MethodologicalDetails?m=2032
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
 No policy


12. Comment Top

[not requested for the LFS quality report]


Related metadata Top


Annexes Top