Employment and unemployment (Labour force survey) (employ)

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: State Statistical Office


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

State Statistical Office

1.2. Contact organisation unit

 Labour Market Department

1.5. Contact mail address

“Dame Gruev” str, no. 4, 1000 Skopje, North Macedonia


2. Metadata update Top
2.1. Metadata last certified

19 June 2025

2.2. Metadata last posted

19 June 2025

2.3. Metadata last update

19 June 2025


3. Statistical presentation Top
3.1. Data description

The EU Labour Force Survey (EU-LFS) is the largest European household sample survey. Its main statistical objective is to classify the population of working age (15 years and over) into three mutually exclusive and exhaustive groups: employed persons, unemployed persons, which together represent the ‘labour force’, and the people outside the labour force.

Country can modify or add more information.

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 (used for textual data)
NaN Not applicable (used for numerical data)
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
3.2. Classification system

The following international classifications are used in Labour Force Survey:

  • International Standard Classification of Occupations 2008 (ISCO – 2008);
  • Statistical classification of economic activities (NACE, rev.2), which is comparable to UN classification of activities ISIC – rev.4;
  • International Standard Classification of Education, ISCED–2011;
  • International Classification of Status in Employment (ICSE – 93),
  • Classification of Fields of Education (ISCED-F 2013) supplementing the International Standard Classification of Education (ISCED – 2011).


Annexes:
Classifications
3.3. Coverage - sector

Labour Force Survey covers all sections defined by NACE rev. 2.

3.3.1. Coverage

Pre-filled example:

 

Individuals living in private households in the Country

 

Country can modify or add more information.

3.3.2. Inclusion/exclusion criteria for members of the household

Excluded are persons in institutional households (students’  homes,  homes  for  children  and young people with developmental disability, homes for socially imperiled children, old / retired people homes, homes for adults with disability, monasteries, nunneries, etc.). For the temporary absent persons (less than 1 year) data are obtained from other family member. Persons absent more than one year are excluded, except in a case when they considerably contribute to the income of the household and do not have other family in the place where they live. For students  who  live  in other town within country, as well as for students who live abroad, data are obtained from original households in the case when they are economically dependent from that household.

3.3.3. Questions relating to labour status are put to all persons aged

15 and more.

3.4. Statistical concepts and definitions

The population is classified as employed, unemployed and out of labour force based on the information from the questionnaire concerning the activity of the respondents in the reference week. Data obtained in this way differ from the data on employed and unemployed persons obtained through other statistical researches.

The Survey does not take into account the formal status of the respondent, but her/his employment status is determined based on the activity that is carried out in the reference week. Thus, in addition to the persons who have a formal job, employed persons in this Survey can also be individuals who have no formal employment, but they have performed some work (at least one hour) during the reference week in order to earn for their living.

Employed persons comprise persons aged 15 to 89 who, during the reference week, were in one of the following categories:

  • Persons who during the reference week worked for at least one hour for pay or profit, including family workers (unpaid).
  • Persons with a job or business who were temporarily not at work during the reference week but had an attachment to their job. The following groups have a job attachment:
    • Persons not at work due to holidays, working time arrangements, sick leave, maternity or paternity leave; persons in job-related training;
    • Persons on parental leave, either receiving and/or being entitled for job-related income or benefits, or whose expected duration of the parental leave is 3 months or less;
    • Seasonal workers during the off-season, where they continue to regularly perform tasks and duties for the job or business, excluding fulfilment of legal or administrative obligations;
    • Persons temporarily not at work for other reasons where the expected duration of the absence is 3 months or less.
  • Persons producing agricultural goods whose main part is intended for sale or barter.

Persons in own-use production work, voluntary workers, unpaid trainees and persons involved in other forms of work as defined in the 19th International Conference of Labour Statisticians (ICLS) Resolution concerning statistics of work, employment and labour underutilization, adopted on 11 of October 2013, are not included in employment on the basis of those activities.

Employment rate is the percentage share of employed population in the total population of the same age group.

Formal employment includes:

  • Persons who have a formal contract on employment, i.e. an employee-employer relationship for a definite or indefinite time,
  • Persons who perform independently an activity in registered ownership or are founders of registered enterprises or entrepreneur’s shops,
  • Persons who undertake an agricultural activity registered in official government institutions.

Informal employment involves:

  • work in non-registered enterprises,
  • work in registered enterprises, but without a formal contract of employment.
  • work of unpaid family workers.       

The informal employment rate represents the share of informally employed in total employment.

Unemployed persons comprise persons aged 15 to 74 who were:

  • during the reference week not employed according to the definition of employment described in paragraph 1; and
  • currently available for work, i.e. were available for paid employment or self-employment before the end of the two weeks following the reference week; and
  • actively seeking work, i.e. had either carried out activities in the four week period ending with the reference week to seek paid employment or self-employment or found a job to start within a period of at most three months from the end of the reference week.

Seasonal workers not at work during the reference week (off-season) but who expect to return to their seasonal job are to be considered as "found a job".

The unemployment rate represents the percentage of the unemployed in the total number of active population of the same age group.

The long-term unemployment rate represents the share of the unemployed for more than a year in the labor force (employed and unemployed).

The NEET rate represents the share of persons aged 15-24 (or 15-29) who are not employed, not in education, or in training in the total population of that same age group.

Active population – labour force includes all employed and unemployed persons.

Activity rate is the percentage share of active population in the total population of the same age.

Potential active population includes persons who take active steps to find a job but cannot start working immediately, i.e. within two weeks, as well as persons who can immediately start working but did not take active steps to find a job.

This contingent includes so-called discouraged persons, i.e. persons who do not undertake steps to find a job because they are convinced they cannot find one although they could start working immediately in the case a job was offered.

Persons outside the labour force comprise persons who were in one of the following categories:

(a) Persons aged below 15;

(b) Persons aged above 89;

(c) Persons aged 15 to 89 who were, during the reference week, neither employed nor unemployed according to the definitions of employment and unemployment.

The outside the labor force rate is the percentage of the population outside the labour force in the total population of the same age group.

3.4.1. Household concept

 Housekeeping

3.4.2. Definition of household for the LFS

Pre-filled example:

 

Members regularly living together in the same dwelling sharing income, household expenditures, food and other essentials for living.

3.4.3. Population concept

Pre-filled example:

 

Usual residence (12 months).

3.4.4. Specific population subgroups

 

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
Family home
3.5. Statistical unit

Sample of observation units constituted by private households or by persons belonging to private households who have their usual residence in that

3.6. Statistical population

The statistical population is individual households on the territory of RNM and all persons on aged between 15 and 89. 

 

 

3.7. Reference area

Not requested for the LFS quality report.

3.8. Coverage - Time

From 1996 data are obtained and disseminated annually, but from 2004 on a quarterly level.

3.9. Base period

Not requested for the LFS quality report.


4. Unit of measure Top

The LFS produces different indicators with different measures:

  • Numbers;
  • Percentages.

 


5. Reference Period Top
  • Quarter
  • Year


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

EU level:

The EU-LFS is based on European legislation since 1973. The principal legal acts, currently in force, are the Regulation (EU) 2019/1700 establishing a common framework for European social statistics, the Commission Delegated Regulation (EU) 2020/256 establishing a multiannual rolling planning, the Commission Implementing Regulation (EU) 2019/2181 regarding items common to several datasets, and the Commission Implementing Regulation (EU) 2019/2240 which specifies the implementation rules, technical items and contents of the EU-LFS.

 

National level:

  • Law on State Statistics ("Official Gazette of the Republic of Macedonia" No. 54/1997, 21/2007, 51/2011, 104/2013, 42/2014, 192/2015, 27/16, 83/18, 220/18 and "Official Gazette of the Republic of North Macedonia" No. 31/20)
  • Programme of Statistical Surveys 2023-2027 ("Official Gazette of the Republic of North Macedonia" No. 29/23)


Annexes:
Low on SSO
Five-Year Statistical Programme, 2023-2027
6.2. Institutional Mandate - data sharing

Tha data are transmitted (via eDamis) to Eurostat and IMF(via SDDS plus), and microdata sets are sent to United Nations, the IMF, the World Bank, ILO and other users.


7. Confidentiality Top
7.1. Confidentiality - policy

EU level:

Regulation (EU) No 557/2013 17 June 2013 as regards access to confidential data for scientific purposes and repealing Commission Regulation (EC) No 831/2002. It implements the Regulation (EC) No 223/2009 of the European Parliament and of the Council on European Statistics, which sets criteria for confidentiality of data.

 

National level:

  • The protection of individual data is regulated by the Law on State Statistics

  • The basic principles and activities undertaken to ensure data confidentiality are described in the Policy on Statistical Confidentiality



Annexes:
Low on SSO
Policy on Statistical Confidentiality
7.2. Confidentiality - data treatment

Pursuant to Article 38 of the Law on State Statistics and the Policy on Statistical Confidentiality, individual data are not published. However, if access is granted to microdata from the relevant survey, then the methods used to prevent data disclosure should be specified.



Annexes:
Low on SSO
Policy on Statistical Confidentiality


8. Release policy Top
8.1. Release calendar

The date of data publication is determined in the Advance Release Calendar, which is updated quarterly.

8.2. Release calendar access

In line with the Law on Official Statistics  ("Official Gazette of the Republic of Macedonia" No. 54/1997, 21/2007, 51/2011, 104/2013, 42/2014, 192/2015, 27/16, 83/18, 220/18) and European Statistical Code of Practice, all users are treated equally. LFS data are published on the SSS Website, following which those data are simultaneously availabe to all users. Any deviation from the date set in the release calendar must be announced and explained.



Annexes:
Low on SSO
Code of practice
8.3. Release policy - user access

EU level.

European social statistics are provided on the basis of equal treatment of all types of users, such as policy‐ makers, public administrations, researchers, trade unions, students, civil society representatives including non‐ governmental organisations, and citizens, which can access statistics freely and easily through Commission (Eurostat) databases on its website and in its publications.

 

National release policy: 

All users have equal access to statistics at the same time: this means that the publication dates are announced in advance and no user has access to official statistics before they are published. Statistical data are first published in the "News Releases" edition on the website of the State Statistical Office at 12:00.

 



Annexes:
Release Calendar


9. Frequency of dissemination Top

First release, quarterly (4x), yearly (1x).

Annual data for 2022 was published on the last working day of April 2023.

Quarterly LF data were published four times in 2023 year (I quarter - June 2023, II quarter -  September 2023, III quarter -  Desember 2023 and IV quarter -  March of 2024).

 



Annexes:
News releases
LFS quarterly data


10. Accessibility and clarity Top
10.1. Dissemination format - News release

Data from the Labor Force Survey are published quarterly in a Statistical release and makstat, link in annex. 

 

 



Annexes:
News releases-Active population
LFS quarterly data
10.2. Dissemination format - Publications

Description of the national dissemination format and publications

Links to publications.

The Statistical Office of the Republic of North Macedonia publishes the following publications regarding LFS:

  • Statistical release “Labour Force Survey” – quarterly data;
  • MAKSTAT database“Labour Force Survey” – quarterly data
  • MAKSTAT database“Labour Force Survey” – annual data
  • Bulletin “Labour Force Survey in the Republic of North Macedonia” – annual data;
  • Data from the Labour Force Survey are also available in the publications “Statistical Yearbook” ,  “Regions of the Republic of North Macedonia, “ “North Macedonia in figures” and “Makstat Selection

The publications can be accessed through the link given in annex.



Annexes:
News releases-Active population
LFS quarterly data
Labour market
Statistical Yearbook
Women and Men in North Macedonia
Regions of North Macedonia
Makstat Selection
10.3. Dissemination format - online database

Online database is available at the link in the annex.



Annexes:
MAKSTAT database: Labour Market
10.3.1. Data tables - consultations

Not requested for the LFS quality report.

10.3.2. Web link to national methodological publication

Link for national referent metadata is given in annex.



Annexes:
Methodological explanation
10.3.3. Conditions of access to data

Aggregated data available to public, microdata available to researchers.

 

 

10.3.4. Accompanying information to data

Questionnaire, methodological explanations 

 



Annexes:
Questionnaire
Methodological explanation
10.3.5. Further assistance available to users

Further assistance available via phone or email

 

 

10.4. Dissemination format - microdata access

The use of microdata by external users is possible only for research purposes and is done in accordance with the Law on State Statistics. Access to anonymized microdata is defined by an internal procedure of the State Statistical Office.



Annexes:
Rules for access to anonymised microdata for research purposes
10.4.1. Accessibility to LFS national microdata (Y/N)

Y



Annexes:
microdata for research purposes
10.4.2. Who is entitled to the access (researchers, firms, institutions)?

Researchers and some international orgnaizations.



Annexes:
microdata for research purposes
10.4.3. Conditions of access to data

Microdata in SAS format are available on special request with written contract.

The use of microdata by external users is possible only for research purposes and is done in accordance with the Law on State Statistics (Article 41, Article 42 and Article 43). Access to anonymised microdata is defined by an internal procedure of the State Statistical Office "Access to anonymised microdata for scientific research purposes"



Annexes:
microdata for research purposes
10.4.4. Accompanying information to data

Each variable in database contains label and value with belonging description.

10.4.5. Further assistance available to users

Y

10.5. Dissemination format - other

Not requested for the LFS quality report.

10.5.1. Metadata - consultations

Not requested for the LFS quality report.

10.6. Documentation on methodology

See below.

10.6.1. Metadata completeness - rate

Not requested for the LFS quality report.

10.6.2. References to methodological notes about the survey and its characteristics

Detailed methodology is available on the following links:



Annexes:
News releases-Active population
Publication: Labour force survey
10.7. Quality management - documentation

Links to Quality documentation.

 

 



Annexes:
Quality


11. Quality management Top
11.1. Quality assurance

Not requested for the LFS quality report.

11.2. Quality management - assessment

Not requested for the LFS quality report.


12. Relevance Top
12.1. Relevance - User Needs

The Labour Force Survey is carried out in every European country as well as in many other countries around the world following common concepts and guidelines. This makes the Labour Force Survey the most adequate Macedonian survey for international comparisons on labour market statistics.

The Labour Force Survey is used for monitoring the labour market.

The data that are most frequently asked and not available from other sources are those on:

  • unemployment;
  • formal/informal employment;
  • characteristics of the main and additional job, such as hours of work, overtime, absence from work, reasons for absence from work, methods for seeking employment, reasons for not seeking employment, reasons for work on permanent or temporary base, reasons for part-time work, etc.

LFS data are used by national and international users.

National users are the Government organisations of the Republic of North Macedonia such as: the Ministry of Labour and Social Affairs, Ministry of Science and Technology, Ministry of Youth and Sports, National Bank, National Employment Service, local authorities, etc. Other national users are various academic and research institutions (universities and institutes), enterprises, journalists and individual users such as students, scientists, researchers and others.

Also, LFS data are used  for compiling detailed regional indicators, for estimates on current education and educational attainment, for human resources in science and technology, and for accurate estimates of labour input of National Accounts.

Several indicators stemming from the LFS are used for monitoring and measurement of core policy objectives (of the EU), for example in the context of the European Pillar of Social Rights, the Sustainable Development Goals and the Macroeconomic Imbalance Procedure.

The international users are: Eurostat (for main LFS indicators), UNESCO and UNICEF (for educational data), ILO (for employment and unemployment), World Bank, International Monetary Fund (IMF)  SDDS plus and others. Some countries from the region need LFS data for various regional projects.

12.2. Relevance - User Satisfaction

Not requested for the LFS quality report.

12.3. Completeness

LFS complies with Regulation (EU) 2019/1700 of the European Parliament and Council, making the data complete.

12.3.1. Data completeness - rate

Not requested for the LFS quality report.

12.3.2. NUTS level of detail

Data are collected at NUT3 level.

At quarterly level data are disseminated at NUTS 1 level.

Only basic rates are published at NUTS3 level at annual level.

12.3.2.1. Regional level of an individual record (person) in the national data set

NUTS3 level (level of region).

12.3.2.2. Lowest regional level of the results published by NSI

NUTS3 level for basic rates (rate of activity, employment, unemployment and outside of the labor force population) is published at annual level.

12.3.2.3. Lowest regional level of the results delivered to researchers by NSI

NUTS1 level


13. Accuracy Top
13.1. Accuracy - overall

Not requested for the LFS quality report.

13.2. Sampling error

Sampling errors are a measure of the variability between the estimates from all possible samples. The extent of variability is not known exactly, but can be estimated statistically from the survey data.

In the dissemination phase, it is not possible to publish each estimate with its sampling error. In order to allow users to use sampling errors (for selected data) when doing analyses, approximate values of sampling errors  have been calculated based on regression model.

Tables with approximate values of sampling errors for totals and means, method of using said tables and calculation of the CVs for rates and changes are given in the annex.



Annexes:
Publication: Labour force survey
13.2.1. Sampling error - indicators

Sampling error indicator are following: Coefficient of variation (CV), Standard Error (SE) and Confidence Interval (CI).

13.2.1.1. Coefficient of variation (CV) Annual estimates %

References to Annex File.



Annexes:
p13211
13.2.1.2. Coefficient of variation (CV) Annual estimates at NUTS-2 Level  %

References to Annex File.

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

Coefficient of variation for the number of employed persons (aged 15-74) and the employment rate (aged 15-74) are identical. Since the denominator of the employment rate is the total population and for this particular age group (individuals aged 15-74) it is one of the population totals used in the calibration procedure. Thus the only source of sampling variability is the numerator.

13.2.1.4. Reference on software used

Data entry application designed and developed by external Agency and SSO

13.2.1.5. Reference on method of estimation

Standard errors, coefficients of variation and confidence intervals for parameters are calculated in  SAS. This softvare is able to compute estimates and errors for any complex estimator, which can be expressed as a differentiable function of Horvitz-Thompson or calibration estimators.

13.3. Non-sampling error

Not requested for the LFS quality report.

13.3.1. Coverage error

References to Annex File.



Annexes:
p1331
13.3.1.1. Over-coverage - rate

See in the 13.3.1. Coverage error section in Annex.

13.3.1.2. Common units - proportion

Not requested for the LFS quality report.

13.3.1.3. Misclassification errors – detection of mismatches of identifiers

See in the 13.3.1. Coverage error section in Annex.

13.3.1.4. Misclassification errors –description of the main misclassification problems encountered in collecting the data and the methods used to process misclassifications

References to Annex File.

13.3.2. Measurement error

 See below.

13.3.2.1. Errors due to the media (questionnaire)

References to Annex File.

13.3.2.2. Main methods of reducing measurement errors

References to Annex File.

13.3.3. Non response error

Not requested for the LFS quality report.

13.3.3.1. Unit non-response - rate

See below.

13.3.3.1.1. Methods used for adjustments for statistical unit non-response

References to Annex File.



Annexes:
P133311
13.3.3.1.2. Non-response rates. Annual averages (% of the theoretical yearly sample)

References to Annex File.



Annexes:
p133312
13.3.3.1.2.1. Non-response rates. Annual averages (% of the theoretical yearly sample) – NUTS-2 level

References to Annex File.

13.3.3.1.3. Units who did not participate in the survey

References to Annex File.



Annexes:
p133313
13.3.3.2. Item non-response - rate

Item non rate in North Macedonia LFS reffers only to the variable - INCGROSS.

13.3.3.2.1. Item non-response (INR) in % * - Quarterly data (Compared to the variables defined by the Commission Regulation (EC) No 2019/2240)

References to Annex File.

13.3.3.2.2. Item non-response (INR) in % * - Annual data (Compared to the variables defined by the Commission Regulation (EC) No 2019/2240)

References to Annex File.

13.3.3.2.3. Item non-response for INCGROSS

References to Annex File.

13.3.4. Processing error

Data can be modified and edited in the course of the survey/interview. If an interviewer wants to modify the initial respondent’s answer when she/he sees there has been an error, she/he can do it on site. Upon the arrival of data in the head office, additional control is to be done, as well as the coding of occupations, economic activities and fields of education. Editing and processing phases refer to detecting logically incompatible information, as well as to their modification. In data entry application is built in logical control (during the interviewing), thus disabling the interviewer to enter illogical data and as such limiting such cases to the minimum. Logical control is constantly updating during the work connecting with data checking.

There are no available estimates on the number of processing errors in the LFS.

13.3.4.1. Editing and imputation process

References to Annex File.



Annexes:
p13341
13.3.4.2. Outliers treatment and other data editing procedures for INCGROSS

References to Annex File.

13.3.5. Model assumption error

Not requested for the LFS quality report.


14. Timeliness and punctuality Top
14.1. Timeliness

References to Annex File.

14.1.1. Time lag - first result

Not requested for the LFS quality report.

14.1.2. Time lag - final result

Not requested for the LFS quality report.

14.2. Punctuality

All data are published according to the release calendar.



Annexes:
Release Calendar
14.2.1. Punctuality - delivery and publication

Not requested for the LFS quality report.


15. Coherence and comparability Top
15.1. Comparability - geographical

The data are comparable on the level of regions and districts.

All definitions and procedures are laid down by the European Union, which makes the Survey suitable for both overall and very specific international comparisons of labour market issues.

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not requested for the LFS quality report.

15.1.2. 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 any 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  
Identification of the main job (*) N
Employment N
Unemployment

N

15.2. Comparability - over time

Since 1996, the Labour force survey (also referred to as LFS, EU-LFS or MK-LFS) has been conducted in North Macedonia as one of the most valuable sources of information regarding the events in the labour market.

Until 2004, the Labour Force Survey was an annual survey. However, in 2004 it became a quarterly survey considered as the most comprehensive survey of the economic activity of the population and its demographic, educational and other characteristics during the inter-census period. Throughout the years, the Labour Force Survey has been conducted according to the methodological recommendations of the International Labour Organization (ILO) ratified on the 13th International Conference of Labour Statisticians and the recommendations of the Statistical Office of the European Union (EUROSTAT). To improve the quality of the survey, the new regulations and recommendations from Eurostat and ILO were implemented with the help of the IPA financial and expert’s support. Repeatedly IPA financial and expert’s support were included in the period of IPA 2012 till IPA 2015. The support significantly increased the efficiency of obtaining, processing, and disseminating the LFS data. Two interviewing methods, namely CAPI (Computer-Assisted Personal Interviewing) and CATI (Computer-Assisted Telephone Interviewing) were used in combination. However, the implementation faced several difficulties that had a significant impact on the continuous operation of the LFS. The three main challenges were the COVID-19 crisis, Census 2021, and the implementation of the IESS regulation.

In 2017, an application-based solution was developed for conducting the LFS. However, subsequent changes, including new recommendations from the EU posed difficulties in incorporating and updating the new questionnaire format.

In 2021, the Statistical Office (SSO) began the process of updating the applicative solution for the LFS. This update aimed to incorporate the necessary changes, including the new form of the questionnaire based on the Regulation (EU) 2019/1700 (IESS Regulation) and Regulation (EU) 2019/2240.

The finalization of the updated applicative solution took place in January 2023. Subsequently, in the first quarter of 2023, the updated application was utilized for conducting interviews in both CAPI and CATI modes.

 The main methodological change refers to the exclusion of persons who produce goods and services for their own use from the category of employed population and their subsequent classification into the category of unemployed or population outside the labor force.



Annexes:
Methodological explanation
15.2.1. Length of comparable time series

Data collected from 2004 to 2020 are mutually comparable.  However, since 2021, due to changes in main concepts in the LFS the comparability with previous years has been lost.

In accordance with the published results of the Population, Households and Dwellings Census of the Republic of North Macedonia 2021, the State Statistical Office revised the data from the Labor Force Survey for the period 2017-2021.

The data were adjusted according to the new census results, by gender, five-year age groups and statistical regions. 

North Macedonia has not yet conducted an analysis of the implementation of the new framework regulation (IESS). It is currently underway.

15.2.1.1. Length of time series

Not requested for the LFS quality report.

15.2.1.2. Length of comparable time series

Not requested for the LFS quality report.

15.2.2. Changes at CONCEPT level introduced during the reference year and affecting comparability with previous reference periods (including breaks in series)

References to Annex File.

15.2.3. Changes at MEASUREMENT level introduced during the reference year and affecting comparability with previous reference periods (including breaks in series)

References to Annex File.

15.3. Coherence - cross domain

Not requested for the LFS quality report.

15.3.1. Coherence - sub annual and annual statistics

Not requested for the LFS quality report.

15.3.2. Coherence - National Accounts

 

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

 The LFS covers all employed persons who are residents in Republic of North Macedonia (national concept), especially those who work in territory of the Country. National Accounts meet the domestic concept including all employed, which are in production boundary activities. It means NA includes all agriculture employment and all Non Observed Economy employment.

 National Account (NA) estimate number of employed from different sources such as: official statistical data on the number of formal employed, structure of formal and informal employed from LFS, data on employed persons from financial statement and tax records.

 NA use estimate of NA employment for own work tables, only.

 NA estimates NA employment on experimental base only, so description has not been published yet. 

Total employment by NACE

LFS provides data on the economic activity according Nace Rev. 2 classification on 3 digit level.

 LFS provides data based on the respondent statement.

 see above

 UNA

Number of hours worked

 UNA

 UNA

 UNA

 UNA

15.3.3. Which is the use of LFS data for National Account Data?

 

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 doesn’t 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. employ-

ment registers and/or enterprise

surveys)

 N

 N

 N

 N

 N

 N

15.3.4. 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

 

efinition of registered employment: the term employed comprises persons who have formal legal employment contract, i.e.  who entered into employment with an employer for definite or indefinite period of time and persons who work on the basis of contract on performing temporary or occasional jobs, persons performing occupations/activities independently or  who  are  founders  of enterprises or unincorporated enterprises, as well as persons performing agricultural activities up  to 65 years old,  and  are in the records of Central Register of Compulsory Social Insurance.

LFS - each person is regarded as employed if in the  respective week he/she had some work for remuneration (in money or in kind) for minimum one hour.

 

Registered employment – based on administrative data. Observation period- the next to last working day in the month. Quarterly data are calculated as the arithmetic mean of the number of employees for three months of the reference quarter; annual average as the arithmetic mean of the number of employees for 12 months.

 

LFS - survey based on the sample of private households. Observation unit for the LFS is each member of random selected household. Data source for the LFS is the statement which the interviewers collect from interviewed persons.

 UNA

 Notes on methodology (e.g. in Statistical Yearbook)

Total employment by NACE

   UNA

   UNA

   UNA

   UNA

Number of hours worked

 

Business statistic surveys:Hours worked include: hours worked during normal periods of work, periods of paid overtime, short rest periods at the place of work like tea or coffee breaks.

 

 Actual hours of work presents number of hours actually worked during the reference week, which exclude the main meal breaks, absence from work for personal reasons, education or training hours which are not connected with job

  UNA

  UNA

  UNA

15.3.5. Coherence of LFS data with registered unemployment

 

Description of difference in concept

Description of difference in measurement

Give references to description of differences

  LFS – According to ILO definition as unemployed persons are considered  all persons aged  15-74,  who  did  not have  paid  job in the referent week, have been actively looking for job in the previous four weeks, and can start to work within two weeks after referent week, or have not actively looking for job because they have already found job at which they will start working within 3 months.

 Registered unemployment: Unemployed persons are persons aged 15-65 years, who are registered at National employment office, and who are available immediately to start to work, do not have registered employment, and actively searching for work.

 UNA

15.3.6. 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)

 

 

 

 

 

 

15.3.7. Comparability and deviation for the INCGROSS

References to Annex File.

15.4. Coherence - internal

Not requested for the LFS quality report.


16. Cost and Burden Top

Cost and burder refers to the number of staff involved in the LFS and on the duration of the interview by Final Sampling Unit.

16.1. Number of staff involved in the LFS in central and regional offices, excluding interviewers. Consider only staff directly employed by the NSI.

Not requested for the LFS quality report.

16.2. Duration of the interview by Final Sampling Unit

The average duration of the LFS interview is about 10 minutes per person and the average time spent in the household is about 20 minutes. 



Annexes:
p162


17. Data revision Top
17.1. Data revision - policy

The general revision policy of the Statistical Office of the Republic of North Macedonia represents a global framework allowing that every statistical domain defines its own revision policy in accordance with its specific features. 

 The general SSO revision policy establishes:

  • general rules of revision of published data, 
  • forms of information of users as to possible revision causes, 
  • categorization of revisions, and
  • documentation covering all revision aspects.

 

The general revision policy is available on the link in annex.



Annexes:
Statistical Data Revision Policy
17.1.1. Is the general data revision policy fully compliant with the ESS Code of Practice principles? (in particular see the 8th principle) (Y/N)

Y

17.1.2. Is the country revision policy 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

17.2. Data revision - practice

Not requested for the LFS quality report.

17.2.1. Data revision - average size

Not requested for the LFS quality report.


18. Statistical processing Top
18.1. Source data

The Labour Force Survey is the most comprehensive continuous research in North MAcedonia. Since 2004, when there was the change in periodicity, interviews have been conducted every week (from Monday to Sunday), where in one week only one subsample is interviewed, and in the following one another subsample, and so on. The respondents provide answers about their employment activity in the week which is the reference week for them.

18.1.1. Sampling design & Procedure frame

 

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)

Date of sample selection

 The sample is based on a two-stage stratified rotation panel design.

 Population Census 2021

 2021

 Primary sampling units (PSUs) are enumeration districts.

 

Final sampling units are households.

Date of sample selection:

 One month that preceding the quarter in which is the survey

18.1.2. Sampling design & Procedure method

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 (enumeration districts), are selected  systematically with probability proportional to  size  (PPS) within each stratum from EDs list. Size measure for each ED was number  of households. EDs were sorted within each stratum according to the municipality and serial numbers. Using systematic selection on the sorted list, high level of implicit geographical stratification and effective sample distribution were provided.

 Final stage units - households were randomly selected, from household list, obtained for each ED

 Enumeration districts (PSUs) for each rotation group are stratified  according to the type of settlement (urban and rursl) and 8 regions (NUTS3 level).

 UNA

 Sample for each quarter consists of 4 rotation groups (sub-samples), with 2- 2-2 rotation scheme. The overlap between two consecutive quarters is 50%.

18.1.3. Yearly sample size & Sampling rate

References to Annex File.



Annexes:
p1813
18.1.4. Quarterly sample size & Sampling rate

References to Annex File.



Annexes:
p1814
18.1.5. 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. 2019/2240) (Y/N)

If not please list deviations

List of yearly variables for which the wave approach is used (Ref.: Commission Reg. 2019/2240, Annex I)

 N/A

 N/A

 N/A

 N/A

18.2. Frequency of data collection

Not requested for the LFS quality report.

18.3. Data collection

 

Data collection methods: brief description

Use of dependent interviewing (Y/N)?

In case of Computer Assisted Methods adoption for data collection, could you please indicate which software is used?

 

Two modes of data collection were used in 2023: CAPI (Computer assisted personal interviewing) and CATI (Computer assisted telephone interviewing).

CAPI was applied for the households in the first wave and for the households in the later waves without phone contact. CATI was applied for the households in the 2, 3 or 4 wave with the phone contacts.

In average 48 interviewers per month were engaged in 2023 (40 of them in the field and 8 of them in the call center). Interviewing was done through 8 regional offices.

 Dependent interviewing is used, except for variables by which ILO status is defined and for variables which relate to the specific period.

 Data entry application designed and developed by external outsource company using  MS SQL Server.

18.3.1. Final sampling unit collected by interviewing technique (%)

References to Annex File.



Annexes:
p1831
18.3.2. Info from registers

Are any LFS data collected from registers (Y/N)?

If Yes, please indicate which

registers.

 N

 

18.3.3. Description of data collection and reference period for INCGROSS

References to Annex File.

INCGROSS is collected through CAPI of CATI interview. 

In the case of the non respons  imputation is done based on TAX register or LFS data.

Reference period for data collection of INCGROSS variable is the whole year.

18.3.4. Description of percentiles and bands used for INCGROSS

References to Annex File.

18.4. Data validation

Member States shall transmit to the Commission (Eurostat) quarterly and annual datasets with pre-checked microdata that comply with validation rules according to the specification of variables for their coding and filter conditions set out in Annex I of the Regulation 2019/2240. Member States and the Commission shall agree on additional validation rules that shall be fulfilled as a condition for transmitted data to be accepted.

Pre-filled example:

Arithmetic and qualitative controls are used in the validation process, including comparison with other data. Before data dissemination, the internal coherence of the data is checked.

 

18.5. Data compilation

Not requested for the LFS quality report.

18.5.1. Imputation - rate

References to Annex File.

18.5.1.1. Editing and imputation process for INCGROSS

References to Annex File.

18.5.2. Brief description of the method of calculating the quarterly core weights

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

 Initial weight for household is equal to inverse of inclusion probability (this inclusion probability is a product of inclusion probabilities from each stage), and correction for non-response. In order to obtain estimates for population that corresponds to current demographics projections, calibration procedure is performed, relating to the distribution of population according to sex, age (five-year age groups) at the level of territory (level NUTS 3)provided that a household and each person from the relevant household have the same final weigh.

 N

 Beside population in private households reference population also includes population in   collective households. 

 Y

 0-14, 15-19,...70-74,75-79, 80-84, 85-89

 NUTS 3

 

18.5.3. Brief description of the method of calculating the yearly weights (please indicate if subsampling is applied to survey yearly variables)

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. NUTS3)?

Other weighting dimensions

 Yearly weights are calculated as an average of quarterly weights.

 

 

 

 

18.5.4. Brief description of the method of calculating the weights for households
Brief description of the method of calculating the weights for households Any 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.)? Are the household weights identical for all household members? (Y/N)
Calibration procedure is performed to provide that a household and each person from the relevant household have the same  final weight. Y Number of households Gender, age, NUTS 3 level Y
18.6. Adjustment

Not requested for the LFS quality report.

18.6.1. 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?(Y/N)

If Yes, are you compliant with the Eurostat/ECB recommendation on Jdemetra+ as software for conducting seasonal adjustment of official statistics. (Y/N)

If Not, please provide a description of the used methods and tools

 N

 

 

 



Annexes:
Seasonal adjustment
JDemetra-seasonal adjustment


19. Comment Top


Related metadata Top


Annexes Top
annex [LFS_QR_Multiple+1.0_upd]