Employment and unemployment (Labour force survey) (employ)

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

Compiling agency: State Statistical Office

Eurostat metadata

Reference metadata

1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)

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1. Contact

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1.1. Contact organisation

State Statistical Office

1.2. Contact organisation unit

Labour Market Department

1.5. Contact mail address

Dame Gruev“ 4 - Skopje

2. Statistical presentation

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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 ...
The survey covers the whole country Only private households are surveyed.The Macedonian LFS is a household survey, which provides some socio-demographic information on population without age-limit and labour market information on population aged 15-79.	Housekeeping	Members living regularly together in the same dwelling linked by family ties.	The survey covers all the members of the selected households including the persons absent from home for a longer period (over 6 months), if they are preserving family relations with the household to which they belong (military duty; pupils and students away for study; persons left for work; prisoners; persons temporary in hospitals or sanitoria for medical cure), and they surveyed via the relatives living in the selected households. For the person living abroad, they are surveyed only if they are absent up to 12 mounts. Persons permanently living in collective units (elderly, handicapped, etc.) are not included in the survey.	15-79

Population concept	Specific population subgroups
Population concept	Primary/secondary students	Tertiary students	People working out of family home for an extended period for the purpose of work	People working away from family home but returning for weekends	Children alternating two places of residence
Usual residence (12 months)	Family home	Family home	Family home	Family home	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

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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)
The Labour Force Survey is based on a two-stage stratified sample design. The sample design strata were defined in terms of geographic regions, area types (such as urban and rural).	2002 Population and Housing Census and update update sample frame for randomly selected statistical areas on a quarterly basis.	IQ 2017 (on randomly selected statistical areas for LFS)	Primary sampling units (clusters) are enumeration districts ED.	Households are FSU-s.

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.)
Primary sampling units are selected proportional to the number of persons from 15 to 79 years old in stratas from the data of Census 2002. Quaterly in first stage randomly are selected 625 enumeration districts (ED) using stratification criteria.	In sampled ED with random sampling fixed number of households (8) are selected from ED. The final quaterly sample consists 5000 households and is made up of three monthly sub-samples. The monthly sub-samples have no overlap.	The LFS sample is stratified on 8 regions and by types of locality (urban & rural) .	Total number of stratas are 16.	Rotation model 2-(2)-2 was applied in the sample of LFS. The households are interviewed in two consecutive quarters and provide labour market information, than omitted in next two quarter, included again for another two quarters and than leaves the sample for ever.The above rotation model results in an overlap of 1/2 between consecutive quarters and an overlap of 1/2 between the same quarters in two consecutive years . At any time, there is a birth panel consisting of the new entrants (1/4 of sample), and the members of the other panels.

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)
The overall sampling rate is about 3.61 %, estimated as ratio between number of sampled households, after the two sampling stages, and total number of households at country level.	Total sample: 20000 households Total of interviewed households: 15804 Total of interviewed persons aged 15-79: 39230 Remark: the annual sample is defined by pooling the quarterly samples and dividing the quarterly weights by four. All data on the sample reflect this concept which implies that, owing to rotation, a specific unit can occur in the annual sample once or twice.

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)
The overall quarterly sampling rate is about 0.9 %, estimated as ratio between number of quarterly sampled households and total number of households at country level.	Total sample: 5000 households Total of interviewed households in Q1: 3797 Total of interviewed persons aged 15-79 in Q1: 9523 Total of interviewed households in Q2: 3965 Total of interviewed persons aged 15-79 in Q2: 9820 Total of interviewed households in Q3: 4047 Total of interviewed persons aged 15-79 in Q3: 9954 Total of interviewed households in Q4: 3995 Total of interviewed persons aged 15-79 in Q4: 9933

Use of subsamples to survey structural variables (wave approach)
Only for countries using a subsample for yearly variables
Wave(s) for the subsample	Are the 30 totals for ILO labour status (employment, unemployment and inactivity) by sex (males and females) and age groups (15-24, 25-34, 35-44, 45-54, 55+) between the annual average of quarterly estimates and the yearly estimates from the subsample all consistent? (Ref.: Commission Reg. 430/2005, Annex I) (Y/N)	If not please list deviations	List of yearly variables for which the wave approach is used (Ref.: Commission Reg. 377/2008, Annex II)
NA	NA	NA	NA

Brief description of the method of calculating the quarterly core weights	Is the sample population in private households expanded to the reference population in private households? (Y/N)	If No, please explain which population is used as reference population	Gender is used in weighting (Y/N)	Which age groups are used in the weighting (e.g., 0-14, 15-19, ..., 70-74, 75+)?	Which regional breakdown is used in the weighting (e.g. NUTS 3)?	Other weighting dimensions
Data are weighted for unequal probability of selection. The first step assigns the inverse of the selection probabilities to each sampled household unit. In the second step design weights are then adjusted for non-response by multiplying the basic weights by inverse of response rate at strata level. The third and final steps consists of calibrating the secondary weights to the best latest available regional population totals for gender and 15 age groups.	Y	NA	Y	15 age groups: 0-14,15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75-79,80+	NUTS 3	Estimated number of households on regional level

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
The annual sample is defined by pooling the quarterly samples and dividing the quarterly weights by four. All data on the sample reflect this concept which implies that, owing to rotation, a specific unit can occur in the annual sample once or twice.	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)
Data are weighted for unequal probability of selection. The first step assigns the inverse of the selection probabilities to each sampled household unit. In the second step design weights are then adjusted for non-response by multiplying the basic weights by inverse of response rate at strata level. The third and final steps consists of calibrating the secondary weights to the best latest available regional population totals for gender and 15 age groups.The post-stratification is done on household level (the members in any sample households have the same calibrated weight as the household).	N	Estimated number of households on regional level .	In the calculation of weighting factors the totals known at population level from current demographic statistics on regional level, recalculated on 2002 Census population are used by gender , 15 age groups: 0-14,15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75-79,80+.	Y

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 by face-to-face interviews-registration on paper-and-pencil and computer assisted telephone interview introduced for the first time in 2011. Interviews are done during the week immediately following the reference week. Data are collected with identical questionnaires through the whole year. The questionnaire is divided into two parts: - The household questionnaire - consists of each household, addressed to all household members disregarding the age, collecting socio-demogrraphic and information concerning the relationship with the head of household and the presence in the household. - The individual questionnaire, addressed only to the household members aged 15 -79, consist in several parts: -general questions adressed to all persons aged 15 -79 - -questions addressed to persons who did not work (unemployed and inactive) regarding their their professional status, activity, occupation and place of work before stop working, willingness for a job, reasons for not seeking job etc.; questions addressed to persons who worked regarding their profesional status, place of work, occupation, main and secondary activity, hours worked, willingness of another job, working at home, atypical work (shift work, night work, Saturday work) -questions addressed to persons who are seeking job (unemployed or employed who are seeking for another job), methods used for seeking job, availability for work etc.; -questions about main labour status and situation with regard to activity one year before survey; -questions about training.	N	Voluntary

Final sampling unit collected by interviewing technique (%)
CAPI	CATI	PAPI	CAWI	POSTAL - OTHER
36.04	63.96	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

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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

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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 data for employment and unemployment are high used (by policy makers, social actors, the media, researchers and students) and they are the basic statistical data indispensable to follow the changes on the labour market. Enterprises are still not so high interested for statistical data for their market research activities or for consultancy services but their interest is in increase.

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?
Data on NUTS-3 level are representative for main figures on yearly basis	NUTS-3 level for main figures of annual data	NUTS-3 level for main figures of annual data	Yearly average from the LFS dataset

5.3.1. Data completeness - rate

[not requested for the LFS quality report]

6. Accuracy and reliability

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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	1100	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	1.94	1.94	4.07	4.30	3.57	5.47	0.58
SE	15112	0.68	4625.8	6706.53	0.59	1.95	0.20
CI^(**)	[748722.79,808040.08]	[57.74,60.39]	[104662.76,122819.51]	[142773.33,169097.05]	[15.26,17.56]	[31.84,39.5]	[34.42,35.22]

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

Reference on software used:	Reference on method of estimation:
SAS	Taylor expansion method

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)
Under-coverage rate (%)	Over-coverage rate (%)	Misclassification rate (%)	Undercoverage	Overcoverage	Misclassification^(b)	Reference on frame errors
UNA	Q1:4.84% Q2:5.32% Q3:6.12% Q4:6.90% Y:5.89%	UNA	UNA	NR	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	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	N
Interviewer	Periodical training (at least 1 time per year) (Y/N)	Feedbacks from interviewer (reports, debriefings, etc.) (Y/N)
	Y	Y
Fieldwork	Monitoring directly by contacting the respondents after the fieldwork (Y/N)	Monitoring directly by listening the interviews (Y/N)	Monitoring remotely through performance indicators (Y/N)
	Y	Y	N
Questionnaire	Questionnaire in several languages (Y/N)	On-line checks (for computer assisted interviews (Y/N)
	N	Y
Other / Comments	N

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	Sex, age groups, number of households	Calibration is used to compensate for unit non-response. The method used is the generalized regression estimator.Calmar is a SAS macro program that implements the calibration methods developed by Deville and Särndal (1992). The auxiliary information in the calibration process is the following: - totals of age – sex groups (according to the forecasted population with cohort-component method) and total numbers of households by regions.
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
UNA	UNA	NA	NA	NA

Divisions of non-response into categories. Quarterly data and annual average
Quarter	Non-response rate
	Total (%)	of which:
	Total (%)	Refusals (%)	Non-contacts (including people who migrated (or moved) internally or abroad) (%)	of which people who migrated (or moved) internally or abroad (%)
1	20.2	6.24	5.51	UNA
2	16.26	6.97	5.96	UNA
3	13.78	6.28	4.24	UNA
4	14.22	5.63	4.32	UNA
Annual	16.13	6.28	5.01	UNA

Units who refused to participate in the survey (Please indicate the number of the units concerned in the cells where the wave is mentioned)
Subsample	Quarter1_2020	Quarter2_2020	Quarter3_2020	Quarter4_2020
Subsample_Q4_2018	40
Subsample_Q1_2019	43	35
Subsample_Q2_2019		37	19
Subsample_Q3_2019			29	29
Subsample_Q4_2019	64			37
Subsample_Q1_2020	73	40
Subsample_Q2_2020		71	49
Subsample_Q3_2020			62	50
Subsample_Q4_2020				68
Total in absolute numbers	221	183	159	184
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)
Subsample	Quarter1_2020	Quarter2_2020	Quarter3_2020	Quarter4_2020
Subsample_Q4_2018	1
Subsample_Q1_2019	4	6
Subsample_Q2_2019		10	3
Subsample_Q3_2019			4	1
Subsample_Q4_2019	24			6
Subsample_Q1_2020	61	18
Subsample_Q2_2020		70	25
Subsample_Q3_2020			68	24
Subsample_Q4_2020				73
Total in absolute numbers	90	104	100	104
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)
Subsample	Quarter1_2020	Quarter2_2020	Quarter3_2020	Quarter4_2020
Subsample_Q4_2018	wave 4
Subsample_Q1_2019	wave 3	wave 4
Subsample_Q2_2019		wave 3	wave 4
Subsample_Q3_2019			wave 3	wave 4
Subsample_Q4_2019	wave 2			wave 3
Subsample_Q1_2020	wave 1	wave 2
Subsample_Q2_2020		wave 1	wave 2
Subsample_Q3_2020			wave 1	wave 2
Subsample_Q4_2020				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	Column	Identifier	Quarter 1	Quarter 2	Quarter 3	Quarter 4
compulsory	Col_067/68	HWOVERPU	.	.	.	C
compulsory	Col_107 - Employed	METHODE	.	C	.	.
compulsory	Col_114 - Employed	METHODL	C	C	C	C
compulsory	Col_114 - Not employed	METHODL	C	C	C	C

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_119	PRESEEK	100	It will be introduced in the future
compulsory	Col_121	REGISTER	17.7	Information is not collected for persons who are not registered in employment agency because they can not apply for benefit.
compulsory	Col_150/151	COUNTR1Y	16.7	Information not collected for people aged 80 years and more.
compulsory	Col_205/208	HATFIELD	14.0

(*) "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 )
The data entry program contains logical control. At the end of the editing we check and manually treat the errors and exceptions	UNA

6.3.4.1. Imputation - rate

Imputation of statistical item non-response
Are all or part of the variables with item non response imputed? (Y/N)	Overall imputation rate (Observations with at least one item imputed / Total Observations )
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)
N	Y

6.6. Data revision - practice

[not requested for the LFS quality report]

6.6.1. Data revision - average size

[not requested for the LFS quality report]

7. Timeliness and punctuality

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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

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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	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
To be registered,during the last 4 weeks, in the Employment Agency, as a person looking for employment.	Period of register in the Agency and type of registering (active till one month and in active more than one month).	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)
UNA	UNA	UNA	UNA	UNA	UNA

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)
Not as only source, but country use LFS employment (on quaterly level) for distribution on employed in national account data.	N	N	Y	N	N

8.6. Coherence - internal

[not requested for the LFS quality report]

9. Accessibility and clarity

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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

Quarterly and annual 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
http://makstat.stat.gov.mk/PXWeb/pxweb/en/MakStat/?rxid=46ee0f64-2992-4b45-a2d9-cb4e5f7ec5ef	The data are available simultaneously to all interested parties on the day of release by issuing a new release (Labour Force in the Republic of Macedonia. The new release is published on the web side of the Macedonian State Statistical Office. .Access to the main LFS results - press conferences, internet.	Publications of the Macedonian LFS include a short description of the methodology with the following topics:history of the LFS; definitions; sample design; sampling error of the estimates; information about non-response and analysis of the data.	Information about publications of SSO is available for users in the catalogue of ‘Statistical Publications’. it is published on website. The request for information about the Macedonian Labour Force Survey sent to the Statistical Office are answered within 1-5 working days starting from the working day following the registration of the request for information.

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	Researchers	NR	NR	NR