Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
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]
3.1. 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)
7.8%
20040 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)
1,95%
5010 individuals
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. Information on sex, age, years of residence, citizenship and marital status is obtained from administrative sources (National Population Register).
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]
4.1. Quality assurance
[not requested for the LFS quality report]
4.2. Quality management - assessment
[not requested for the LFS quality report]
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]
6.1. 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
0.425
1.93
5.63
5.587
8.92
0.4378
SE
774.89
0.364
870.06
415.99
0.198
0.780
0.177
CI(**)
+/-1518.96
+/-0.71
+/-1705.46
+/-815.42
+/-0.39
+/-1.53
+/-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 2018 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)
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)
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
Non-response rates by survey mode. Annual average (% of the theoretical yearly sample by survey mode)
Survey
CAPI
CATI
PAPI
CAWI
POSTAL
NA
NR
NA
NA
NA
Divisions of non-response into categories. Quarterly data and annual average
Quarter
Non-response rate
Total (%)
of which:
Refusals (%)
Non-contacts (including people who migrated (or moved) internally or abroad) (%)
of which people who migrated (or moved) internally or abroad (%)
1
NR
NR
NR
NR
2
NR
NR
NR
NR
3
NR
NR
NR
NR
4
NR
NR
NR
NR
Annual
NR
NR
NR
NR
Units who refused to participate in the survey (Please indicate the number of the units concerned in the cells where the wave is mentioned)
Sub-sample
Quarter1 2019
Quarter2 2019
Quarter3 2019
Quarter4 2019
Sub-sample Q3 2017
wave 5
Sub-sample Q4 2017
wave 4
wave 5
Sub-sample Q1 2018
wave 4
wave 5
Sub-sample Q2 2018
wave 4
wave 5
Sub-sample Q3 2018
wave 3
wave 4
Sub-sample Q4 2018
wave 2
wave 3
Sub-sample Q1 2019
wave 1
wave 2
wave 3
Sub-sample Q2 2019
wave 1
wave 2
wave 3
Sub-sample Q3 2019
wave 1
wave 2
Sub-sample Q4 2019
wave 1
Total in absolute numbers
Total
Total
Total
Total
Total in % of theoretical quarterly sample
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)
Sub-sample
Quarter1 2019
Quarter2 2019
Quarter3 2019
Quarter4 2019
Sub-sample Q3 2017
wave 5
Sub-sample Q4 2017
wave 4
wave 5
Sub-sample Q1 2018
wave 4
wave 5
Sub-sample Q2 2018
wave 4
wave 5
Sub-sample Q3 2018
wave 3
wave 4
Sub-sample Q4 2018
wave 2
wave 3
Sub-sample Q1 2019
wave 1
wave 2
wave 3
Sub-sample Q2 2019
wave 1
wave 2
wave 3
Sub-sample Q3 2019
wave 1
wave 2
Sub-sample Q4 2019
wave 1
Total in absolute numbers
Total
Total
Total
Total
Total in % of theoretical quarterly sample
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)
Sub-sample
Quarter1 2019
Quarter2 2019
Quarter3 2019
Quarter4 2019
Sub-sample Q3 2017
wave 5
Sub-sample Q4 2017
wave 4
wave 5
Sub-sample Q1 2018
wave 4
wave 5
Sub-sample Q2 2018
wave 4
wave 5
Sub-sample Q3 2018
wave 3
wave 4
Sub-sample Q4 2018
wave 2
wave 3
Sub-sample Q1 2019
wave 1
wave 2
wave 3
Sub-sample Q2 2019
wave 1
wave 2
wave 3
Sub-sample Q3 2019
wave 1
wave 2
Sub-sample Q4 2019
wave 1
Total in absolute numbers
Total
Total
Total
Total
Total in % of theoretical quarterly sample
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_039/40
COUNTRYW
C
C
C
C
compulsory
Col_054
TEMPDUR
.
.
.
11.4
compulsory
Col_065/66
HWOVERP
79.5
80
77
77.3
compulsory
Col_067/68
HWOVERPU
79.5
80
77
77.3
compulsory
Col_069/70
HOURREAS
.
10.3
.
.
compulsory
Col_073/74
HWWISH
36.4
36.8
37.9
35.5
compulsory
Col_082/83
HWACTUA2
12.6
17.4
18.1
17.8
compulsory
Col_101 - Not employed
SEEKTYPE
.
20.7
.
.
compulsory
Col_102 - Not employed
SEEKDUR
.
20.7
10.2
10.4
compulsory
Col_103 - Employed
METHODA
C
C
C
C
compulsory
Col_109 - Employed
METHODG
C
C
C
C
compulsory
Col_109 - Not employed
METHODG
C
C
C
C
compulsory
Col_111 - Not employed
METHODI
.
.
.
C
compulsory
Col_113 - Employed
METHODK
C
C
C
C
compulsory
Col_113 - Not employed
METHODK
C
C
C
C
compulsory
Col_114 - Employed
METHODL
C
C
C
C
compulsory
Col_114 - Not employed
METHODL
C
C
C
C
compulsory
Col_116
WANTWORK
30.3
33.8
34.5
34.3
compulsory
Col_129/131
COURLEN
19.7
15
20.6
19.1
compulsory
Col_204
HATVOC
30.9
33.8
35
34.2
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
30.9
compulsory
Col_055
TEMPAGCY
C
compulsory
Col_077
LOOKREAS
29.2
compulsory
Col_093
STAPROPR
69
compulsory
Col_094/95
NACEPR2D
52.4
compulsory
Col_096/98
ISCOPR3D
17.9
compulsory
Col_100
SEEKREAS
32
compulsory
Col_118 - Employed
AVAIREAS
94.6
compulsory
Col_118 - Not employed
AVAIREAS
82.5
compulsory
Col_119
PRESEEK
11.4
compulsory
Col_120
NEEDCARE
83
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)
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
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]
9.1. 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.
Please provide information on the policy for anonymizing microdata in your country
NR
[not requested for the LFS quality report]
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
Not Applicable
[not requested for the LFS quality report]
[not requested for the LFS quality report]
[not requested for the LFS quality report]
[not requested for the LFS quality report]
Not Applicable
[not requested for the LFS quality report]
Not Applicable
[not requested for the LFS quality report]
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)
7.8%
20040 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)
1,95%
5010 individuals
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
Not Applicable
Restricted from publication
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
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)
