Employment and unemployment (Labour force survey) (employ)

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

Compiling agency: Hagstofa Íslands Statistics Iceland

Time Dimension: 2017-A0

Data Provider: IS1

Data Flow: LFS_ESQRS_A


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: EUROPEAN STATISTICAL DATA SUPPORT

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1. Contact Top
1.1. Contact organisation

Hagstofa Íslands

Statistics Iceland

1.2. Contact organisation unit

Atvinnu- og félagsmáladeild

Labour market and social statistics

1.5. Contact mail address

Ólafur Már Sigurðsson

olafur.sigurdsson@hagstofa.is

olafur.sigurdsson@statice.is


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 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 ...
The population 16-74 with permanent (more than 6 months) residence in Iceland.  NR Persons living in collective and Institutional households are surveyed  16-74

 

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)                                  
 Yes  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)
 Single stage random sample of individuals  The population register, persons with registered domicile on the last day of the previous quarter.  National Register updated daily. New sample is drawn week before each quarter begins.  NA  Individuals

 

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  Single random sample without replacement of persons younger than 75 in the first week of the quarter and older than 16 in the last week at the end of the rotation cycle. Persons younger than 16 on the last day of the reference week are not included in the weekly sample until this age is reached.The household sub-sample is selected from the fifth and last wave so that the sampling probability is inversely proportional to the number of persons aged 16-74 years in the household of the drawn individual.  NA NA  3-(2)-2

 

Yearly sample size & Sampling rate
Overall theoretical yearly sampling rate Size of the theoretical yearly sample
(i.e. including non-response) (i.e. including non-response)
7.6%  16120 individuals

  

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)

1,7%  4030 individuals

 

 Achieved final sampling units by survey wave
Quarter Wave 1 Wave 2 Wave 3 Wave 4 Wave 5 Wave 6 Wave 7 Wave 8
1 782  785 780  783  777   NA  NA  NA
2 794  788  786  777  787   NA  NA  NA
3 780  796  788  796  778   NA  NA  NA
4 778  789  789  778  786   NA  NA  NA

  

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
 Post-stratification using sex and age-groups  N  Total population  16-19, 20-24, 25-29, ... , 70-74  NA  N  N

 

Brief description of the method of calculating the yearly weights (please indicate if subsampling is applied to survey yearly variables) Gender is used in weighting (Y/N) Which age groups are used in the weighting (e.g., 0-14, 15-19, ..., 70-74, 75+)? Which regional breakdown is used in the weighting (e.g. 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?
 Centralised CATI for three weeks after the reference week  Y  Voluntary

 

Final sampling unit collected by interviewing technique (%)
CAPI CATI PAPI CAWI POSTAL - OTHER
 NA  100  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)
Highly relevant
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?
 NA  NA   NA   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
 NA  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 0.43 0.420706 2.33 6.59 6.562448 9.329569 0.448796
 SE 734.556 0.367 796.253 363.948 0.182 0.733 0.179
 CI(**) 1439.91 0.72 1560.85 713.41 0.36 1.44 0.35

 (*) 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.

 

Description of the assumption underlying the denominator for the calculation of the CV for the employment rate
 NR

 

Reference on software used: Reference on method of estimation:
 SPSS  Complex Samples Module - SPSS uses Taylor linearization method of variance estimation for survey estimates that are means or proportions.

 

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
 N   N   N   NA   NA   NA   NA

 (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 2017 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)?
 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)
 NR  NR
Interviewer  Periodical training (at least 1 time per year) (Y/N)  Feedbacks from interviewer (reports, debriefings, etc.) (Y/N)
 NR  NR
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)
 NR  NR  NR
Questionnaire  Questionnaire in several languages (Y/N)  On-line checks (for computer assisted interviews (Y/N)
 NR  NR
Other / Comments  NR
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  NA 
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
 NA 31,5  NA  NA   NA 

 

Divisions of non-response into categories. Quarterly data and annual average
Quarter Non-response rate
Total (%)             of which:
 Refusals (%)      Non-contacts (%)       Other reasons (%)
1 28.94 8.82 17.04 3.41
2 32.29 9.62 19.45 3.22
3 31.92 9.11 19.06 3.75
4 32.9 8.15 21.43 3.28
Annual 31.5 8.84 19.25 3.42

 

Rates of non-response. Annual average
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_001/2 HHSEQNUM C C C C  
 compulsory Col_039/40 COUNTRYW C C C C  
 compulsory Col_041/42 REGIONW C C C C  
 compulsory Col_054 TEMPDUR 10.1 . . .  
 compulsory Col_065/66 HWOVERP 68.1 66.4 74.7 70.6  
 compulsory Col_067/68 HWOVERPU 68.1 66.4 74.7 70.6  
 compulsory Col_069/70 HOURREAS 13.7 11.7 . 10.3  
 compulsory Col_073/74 HWWISH 32.6 33.3 33.4 32.3  
 compulsory Col_082/83 HWACTUA2 19.3 17.9 14.7 11.5  
 compulsory Col_101 - Employed SEEKTYPE 100 100 100 100  
 compulsory Col_101 - Not employed SEEKTYPE . 23.5 . .  
 compulsory Col_102 - Employed SEEKDUR 100 100 100 100  
 compulsory Col_102 - Not employed SEEKDUR . 23.5 . .  
 compulsory Col_103 - Employed METHODA . C C .  
 compulsory Col_104 - Employed METHODB . C C .  
 compulsory Col_105 - Employed METHODC . C C .  
 compulsory Col_106 - Employed METHODD . C C .  
 compulsory Col_107 - Employed METHODE . C C .  
 compulsory Col_108 - Employed METHODF . C C .  
 compulsory Col_109 - Employed METHODG . C C .  
 compulsory Col_109 - Not employed METHODG C C C C  
 compulsory Col_110 - Employed METHODH . C C .  
 compulsory Col_110 - Not employed METHODH C C C .  
 compulsory Col_111 - Employed METHODI . C C .  
 compulsory Col_111 - Not employed METHODI C . . C  
 compulsory Col_112 - Employed METHODJ . C C .  
 compulsory Col_113 - Employed METHODK . C C .  
 compulsory Col_113 - Not employed METHODK C C C C  
 compulsory Col_114 - Employed METHODL . C C .  
 compulsory Col_114 - Not employed METHODL C C C C  
 compulsory Col_115 - Employed METHODM . C C .  
 compulsory Col_116 WANTWORK 27.6 31.8 26.5 26.7  
 compulsory Col_129/131 COURLEN 15.5 22.1 15.2 16.3  
 compulsory  Col_209 EDUCLEVL 100 100 100 100  

 

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 34.4  
 compulsory Col_055 TEMPAGCY C  
 compulsory Col_077 LOOKREAS 34.1  
 compulsory Col_093 STAPROPR 68.2  
 compulsory Col_094/95 NACEPR2D 51  
 compulsory Col_096/98 ISCOPR3D 10.6  
 compulsory Col_100 SEEKREAS 26.3  
 compulsory Col_118 - Employed AVAIREAS 100  
 compulsory Col_118 - Not employed AVAIREAS 69  
 compulsory Col_119 PRESEEK 12.4  
 compulsory Col_120 NEEDCARE 91.6  
 compulsory Col_150/151 COUNTR1Y 99.9  
 compulsory Col_152/153 REGION1Y C  
 compulsory Col_154/155 INCDECIL 100  
 optional Col_133/135 COURFILD 100  

(*) "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 
 N  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)
 NR  NR
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)  NA  NA  NA  NA
legislation  NA  NA  NA  NA
classifications  NA  NA  NA  NA
geographical boundaries  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  NA  NA  NA  NA
sample design  NA  NA  NA  NA
rotation pattern  NA  NA  NA  NA
questionnaire  NA  NA  NA  NA
instruction to interviewers  NA  NA  NA  NA
survey mode  NA  NA  NA  NA
weighting scheme  NA  NA  NA  NA
use of auxiliary information  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  NR  NR  NR  NR
Total employment by NACE  NR  NR  NR  NR
Number of hours worked  NR  NR  NR  NR

 

Coherence of LFS data with registered unemployment  
Description of difference in concept Description of difference in measurement Give references to description of differences
 NR  NR  NR

 

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)
 NR  NR  NR  NR  NR  NR
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  NR  NR  NR  NR
Total employment by NACE  NR  NR  NR  NR
Number of hours worked  NR  NR  NR  NR

 

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

[not requested for the LFS quality report]


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

[not requested for the LFS quality report]

9.2. Dissemination format - Publications
Please provide a list of type and frequency of publications
 Monthly and Quarterly publication
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://statice.is/statistics/society/labour-market/  NR  NR  NR
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
 N  NA  NA  NA  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
https://statice.is/statistics/society/labour-market/
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
 NR


12. Comment Top

[not requested for the LFS quality report]


Related metadata Top


Annexes Top