Employment and unemployment (Labour force survey) (employ)

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Central Statistical Bureau of Latvia


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

Central Statistical Bureau of Latvia
1.2. Contact organisation unit

Social Staistics Methodology Section
1.5. Contact mail address

1, Lacplesa Street, Riga, Latvia, LV 1010


2. Metadata update Top
2.1. Metadata last certified

5 April 2024
2.2. Metadata last posted

27 June 2023
2.3. Metadata last update

30 June 2024


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.

  

 

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

 
3.2. Classification system

https://ec.europa.eu/eurostat/statistics-explained/index.php?title=EU_labour_force_survey_-_documentation#Classifications
3.3. Coverage - sector

See below.
3.3.1. Coverage

Individuals living in private households in Latvia. 
3.3.2. Inclusion/exclusion criteria for members of the household

Persons are excluded from the household, if they are not preserving family relations with the household one year and more.
3.3.3. Questions relating to labour status are put to all persons aged

15-89
3.4. Statistical concepts and definitions

See below.
3.4.1. Household concept

 Housekeeping
3.4.2. Definition of household for the LFS

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

Usual residence (12 months).
3.4.4. Specific population subgroups

Population concept 

Specific population subgroups

Primary/secondary students

Tertiary students

People working out of family home for an extended period for the purpose of work

People working away from family home but returning for weekends

Children alternating two places of residence

Usual residence (12 months)

 Family home

  Family home

  Family home

  Family home

  Family home
3.5. Statistical unit

The data collection shall be carried out in each Member State for a sample of observation units constituted by private households or by persons belonging to private households who have their usual residence in that Member State.
3.6. Statistical population

The statistical population shall consist of all persons having their usual residence in private households in each Member State.

 
3.7. Reference area

Not requested for the LFS quality report.
3.8. Coverage - Time

Data is available from 1996 (full data available on national database).

 
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

2023 

 


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:

Statistics Law provides for official statistics in Latvia. Its purpose is to provide statistics on economic, demographic and social phenomena and processes taking place in the public, and also on the environment. 
6.2. Institutional Mandate - data sharing

Member States shall make available to the Commission (Eurostat) the data and metadata required under the Regulation 2019/2240 using the statistical data and metadata exchange standards specified by the Commission (Eurostat) and the Single Entry Point.

The Commission (Eurostat) shall, in cooperation with Member States, publish the aggregated data on the Commission (Eurostat) website, in a user‐friendly way, as soon as possible and within six months of the transmission deadline for annual and infra‐annual data collection.

Data sharing and exchange between international data producing agencies, for example, a Eurostat data collection or production that is in common with the OECD or the UN.


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:

Confidentiality of individual data is protected by Statistics Law:

Section 7. Competence of the Statistical Institution in Production of Official Statistics

(2) The statistical institution shall:

8) ensure statistical confidentiality in accordance with the procedures laid down in this Law;

Section 17. Data Processing and Statistical Confidentiality

Section 19. Dissemination of Official Statistics

(1) The statistical institution shall disseminate official statistics in a way that does not allow either directly or indirectly identify a private individual or a State institution in cases other than those laid down in Section 25 of this Law.

(2) The statistical institution shall publish the official statistics which have been produced within the framework of the Official Statistics Programme in a publicly available form and by a predetermined deadline on the portal of official statistics. Until the moment of publication of official statistics this statistics shall not be published.
7.2. Confidentiality - data treatment

 

Anonymized microdata are accessible only for scientific and educational purposes. Anonymizing of microdata is realized according to rules of data dissemination.

CSB of Latvia concludes agreement with scientists/researchers on delivery of anonymized microdata them.The datasets are available for use on the researcher's infrastructure (OffSite) or on the remote access system of the Central Statistical Bureau (OnSite).

 


8. Release policy Top
8.1. Release calendar

(1) the Member States shall transmit pre‐checked microdata without direct identifiers, according to the following two‐

step procedure:

(a) during the first three years of implementation of this Regulation, as provided for in Article 11(4):

— for quarterly data: within ten weeks of the end of the reference period,

— for other data: by 31 March of the following year;

(b) from the fourth year of implementation as follows:

— for quarterly data: within eight weeks of the end of the reference period,

— for other data regularly transmitted: by 15 March of the following year,

— for other data concerning ad‐hoc subjects: by 31 March of the following year.

Where those deadlines fall on a Saturday or Sunday, the effective deadline shall be the following Monday. The detailed topic income from work may be transmitted to the Commission (Eurostat) within fifteen months of the end of the reference period.

(2) The Member States shall transmit aggregated results for the compilation of monthly unemployment statistics within 25 days of the reference or calendar month, as appropriate. If the data are transmitted in accordance with the ILO definition, that deadline may be extended to 27 days.
8.2. Release calendar access

https://stat.gov.lv/en/calendar?Dates=%22Next+year%22&Themes=%222333%22
8.3. Release policy - user access

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:

  • Standard tables for free access are published on the NSI's website.
  • Results are disseminated to all users at the same time.


9. Frequency of dissemination Top

First release, quarterly (4x), yearly (1x), ad hoc module results (1x)


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

 

Press releases are published regularly. Publicaitons on annual data:

https://stat.gov.lv/en/statistics-themes/labour-market/employment/press-releases/20758-employment-4th-quarter-2023-and 

https://stat.gov.lv/en/statistics-themes/labour-market/unemployment/press-releases/20759-unemployment-4th-quarter-2023-and 

 

Quarterly LFS results were published on the Oficial statistics portal each quarter:

https://stat.gov.lv/en/statistics-themes/labour-market/unemployment/press-releases/12328-unemployment-1s-quarter-2023

https://stat.gov.lv/en/statistics-themes/labour-market/unemployment/press-releases/14284-unemployment-2nd-quarter-2023

https://stat.gov.lv/en/statistics-themes/labour-market/unemployment/press-releases/14285-unemployment-3rd-quarter-2023

 

And a press release to promote the publication on LFS main results: 

https://stat.gov.lv/lv/statistikas-temas/darbs/nodarbinatiba/preses-relizes/19122-darbaspeka-apsekojuma-rezultati 
10.2. Dissemination format - Publications

Annual publication "Darbaspēka apsekojuma galvenie rāditāji 2023.gadā" 15 May 2024, Only Latvian (LFS nmain results in 2023)
10.3. Dissemination format - online database

See below.
10.3.1. Data tables - consultations

Not requested for the LFS quality report.
10.3.2. Web link to national methodological publication

https://stat.gov.lv/en/metadata/4285-employment-and-unemployment
10.3.3. Conditions of access to data

 

  The news releases, the results of quarters and year are published on the Oficial ststistics portal. The results  are published  also in the "Statistical Yearbook of Latvia" and other publications of the Central Statistical Bureau of Latvia. 

 
10.3.4. Accompanying information to data

https://stat.gov.lv/en/metadata/4285-employment-and-unemployment
10.3.5. Further assistance available to users

Further assistance available via phone or email: ruta.beinare@csp.gov.lv, sigita.meldere@csp.gov.lv .
10.4. Dissemination format - microdata access

See below.
10.4.1. Accessibility to LFS national microdata (Y/N)

Y
10.4.2. Who is entitled to the access (researchers, firms, institutions)?

Researchers, institutions.

 
10.4.3. Conditions of access to data

The Latvian LFS database is available for users from state and research institutions only in anonymous format. For confidentiality reasons some information (name, address, exact birth date, name of the workplace, description of occupation, etc) is excluded from database. The special contract between Central Statistical Bureau of Latvia and data user stipulates the strict conditions of use.
10.4.4. Accompanying information to data

Detailed description on microdata file.
10.4.5. Further assistance available to users

Further assistance available via email: ruta.beinare@csp.gov.lv, sigita.meldere@csp.gov.lv

 
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

https://stat.gov.lv/en/metadata/4285-employment-and-unemployment
10.7. Quality management - documentation

https://stat.gov.lv/en/metadata/4285-employment-and-unemployment


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

LFS data are used for - Short,  Medium and Long-term Labour Market Forecasts, 

                                 - analysis of situation in labour market,

                                 -  descripition of labour market situation in projects and documents.

Unmet user needs - detailed information at NUTS -3 level.           
12.2. Relevance - User Satisfaction

Not requested for the LFS quality report.
12.3. Completeness

See below.
12.3.1. Data completeness - rate

Not requested for the LFS quality report.
12.3.2. NUTS level of detail

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

 NUTS 3
12.3.2.2. Lowest regional level of the results published by NSI

 NUTS 3

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

NUTS 3


13. Accuracy Top
13.1. Accuracy - overall

Not requested for the LFS quality report.
13.2. Sampling error

See below.
13.2.1. Sampling error - indicators

See below.
13.2.1.1. Coefficient of variation (CV) Annual estimates %

References to Annex File.
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

The denominator of the emloyment rate is the population size in the age group 15-74. The number of population in age group 15-74 was used as a margins in the calibration.
13.2.1.4. Reference on software used

R software (package "vardpoor" - https://cran.r-project.org/web/packages/vardpoor/)
13.2.1.5. Reference on method of estimation

Ultimate cluster method (Hansen, Hurwitz and Madow, 1953) and based on the Berger and Priam (2010) method with linearization for non-linear statistics and residual estimation from the regression model to take weight calibration into account.
13.3. Non-sampling error

Not requested for the LFS quality report.
13.3.1. Coverage error

References to Annex File.
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.
13.3.3.1.2. Non-response rates. Annual averages (% of the theoretical yearly sample)

References to Annex File.
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.
13.3.3.2. Item non-response - rate

See below.
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

See below.
13.3.4.1. Editing and imputation process

References to Annex File.
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

See below.
14.2.1. Punctuality - delivery and publication

Not requested for the LFS quality report.


15. Coherence and comparability Top
15.1. Comparability - geographical

See below.
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

 

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

(European concept or National proxy concept used) List all concepts where any divergences can be found

 

 

Definition of resident population (*)

 N

 NA

Identification of the main job (*)

 N

NA 

Employment

 N

NA 

Unemployment

 N

NA 

 

 

 
15.2. Comparability - over time

See below.
15.2.1. Length of comparable time series

See below.
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 main differences between the employment definitions of Latvian LFS and ESA 2010 are the following:

1. according to ESA 2010 conscripts are employees while LFS defines them as economically inactive population;

2.  according to ESA 2010 employment includes also non-residents (foreigners staying less than one year in Latvia) working for resident producer units while LFS does not include them;

3. according to ESA 2010 employment includes voluntary employees if their volunteer activities result in goods, e.g. the construction of a dwelling, church or other building, while LFS does not;

4. according to ESA 2010 employment does not include residents who are working abroad or in the extra-territorial organisations in Latvia while LFS does.

5.National Accounts data includes estimates of employment in enterprisesnot covered by surveys and hidden employment.  

  For using in National Accounts, the Latvian LFS data is adjusted as much as possible to ESA 2010 definition i.e. conscripts are included to employment and residents who are working abroad or in the extra-territorial organisations are excluded from employment. This means that LFS data used by National Accounts deviate from the ESA 2010 definitions only by not including the foreign workers and volunteers (these groups are not measured in Latvian LFS).  

Share of non-residents in total employment is not significant.

 

Number of foreign workers and volunteers is not available.		  

Available only in working papers.

 

No official publication

Total employment by NACE

  N/A  N/A

  N/A

 N/A

Number of hours worked

  NA

 NA

 NA

 NA
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

 Y

 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

  The LFS data includes total employment, that is, all persons who worked at least one hour in the reference week are considered to have been employed. It is not relevant - the job is officially registered or not.
The Business statistics data includes full-time and part-time employees working under employment contract.

The LFS is a sample survey. Data are collected from households.
In Business statistics the statistical unit is an enterprise, institution or organization. State and municipal institutions and organizations and enterprises with more than 100 ( in trade - 20) employees are enumerated completely. From enterprises with 99 or less employees (in trade - with 20 or less) a sample is selected.
Farmer households and private households employing domestic staff are not covered by Business statistics.

 Employees in 2023 (annual average, thousands) LFS: 765.8

 Business statistics: 627.3

 Difference:  18 %

 Available only in working papers.
No official publication.

Total employment by NACE

 The LFS data includes total employment, that is, all persons who worked at least one hour in the reference week are considered to have been employed. It is not relevant - the job is officially registered or not.
The Business statistics data includes full-time and part-time employees working under employment contract.

 N/A

 

Assessment of the effect of differences of  employees in LFS and Business statistics.

A - 51 %      

B - 26 %        

C - 13 %       

D - 17 %        

E - 16 %   

F - 46 %     

G - 4 %       

H - 31 %       

I - 27 %        

J - 16 %            

K - 9 %      

L - 11 %       

M - 3 %     

N - 10 %        

O - 6 %          

P - 11 %        

Q - 22 %       

R - 22 %     

S - 29 %

 N/A

Number of hours worked

 In the LFS hours usually worked  and hours actually worked (hours worked in the reference week) are collected. Data are published as weekly hours.
In the Business statistics hours actually worked are collected. Data are published as total per year.

 N/A

 NA

 NA
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
Unemployed persons (both registered and non-registered with the State Employment Board) are persons who do not work and are not temporarily absent from work, are actively seeking a job and immediately available for work if they find it.
The registered unemployed
according to the Law of the Republic of Latvia  “On Employment” (considered as unemployed) is a non-working citizen of the Republic of Latvia or a foreigner (without any citizenship) who has received a licence for permanent stay or who has a mark of the Population Register with identity code in his/her passport, is of working age, able to work, is not engaged in entrepreneurial activities, is looking for work and is registered with the State Employment Agency according to his/her officially registered address and applies to it at least once a month.

Some population groups are considered as unemployed in LFS and not in registered unemployment and vice versa.
The LFS data are collected by means of sample survey.
The registered unemployment data are collected by means of registration in the state employment office. Registration in State Employment Agency is voluntary.

 Statistical yearbook of Latvia 2021, Riga 2022, p. 91.
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)

 22%

 200%

 47%

 45%

 -12%

Riga 64%

Pieriga 19 %

Kurzeme 10 %

Zemgale 22 %

Latgale -14 %

Vidzeme 25 %
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

See below.
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

References to Annex File.


17. Data revision Top
17.1. Data revision - policy

See below.
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

See below.
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 sampling design is a stratified two-stage sampling design.

Two sampling frames are built for each sampling stage due to two-stage sampling is used. At the first stage the list of sampling areas is used as sampling frame. The sampling areas are territories. Territories contains information about the number of dwellings in each sampling area. At the second stage sampling frame is built from the Demographic Statistics Data Processing System. The Demographic Statistics Data Processing System includes data from Population register, The National Real Estate.

Twice a year, two months before the start of the first and third quarter for the second stage sampling frame.

Sampling areas- territories are used as the primary sampling units.

Dwelling

For 1st and 2nd quarter - 27 November 2021 For 3rd and 4th quarter - 29 May 2022. 
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.)

 The sampling areas are selected from each stratum using systematic sampling with probability proportional to size.

 The final sampling units are selected from the PSUs by a simple random sampling method in each sampled PSU.

 The strata were defined by type of territory (capital city - Riga, eight other cities of Republic, towns and rural areas formed four strata).

 4

 Each household was interviewed four times
(2-(2)-2) 
18.1.3. Yearly sample size & Sampling rate

References to Annex File.
18.1.4. Quarterly sample size & Sampling rate

References to Annex File.
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)

 Wave 1

 Y

 NA

 

Commission Implementing Regulation 2019/2240

 MIGREAS,  HHLINK,

HHSPOU, HHFATH,

HHMOTH. TEMPREAS,

TEMPAGCY, MAINCLNT,

VARITIME, SUPVISOR,

SIZEFIRM, LOOKOJ,

HWWISH, NEEDCARE,

HATFIELD,HATYEAR,

 HATWORK, WAYJFOUN, 

FINDMETH, STAPROPR,

NACEPR2D, ISCOPR 3D,

SHIFTWK, EVENWK,

NIGHTWK, SATWK, 

SUNWK, INCGROSS, 

INCGROSS_F 
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?

There are 3 data collection modes in Latvian LFS - CAWI, CATI, CAPI.  CAWI was introduced from 2018. Face to face interviews by using portable computer (CAPI interviews) and telephone assisted interviews (CATI) are conducted by interviewers of the Interviewer's Co-ordination Section and Household Survey Preparation and Supervision Section.  The interviewing is normally done during the week immediately following the reference week.

 Y

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

References to Annex File.
18.3.2. Info from registers

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

If Yes, please indicate which

registers.

 Y

 State Employment Agency, State Revenue Service
18.3.3. Description of data collection and reference period for INCGROSS

References to Annex File.
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.

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

  The initial weights are calculated according to the sample design, with all persons within the same PSU having equal design weights. The design weights are adjusted using the data of response level in each strata for each wave and each mode (CAPI/CATI). These weights were then adjusted on the basis of demographic data,State Employment Agency and State Revenue Service information.

For adjustment of the quarterly weights demographic data are broken down by type of municipality (as in stratification), 14 age groups and sex  as well as in NUTS 3 (6 regions), 3 age groups, eight cities of Republic, the information from the State employment agency by sex and 5 age groups and the information from the State Revenue Service by sex and 7 age groups.

Y 

 NA

 Y

 (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; over 75)

 NUTS 3

 Type of municipality
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

 Quarterly design weights were divided by four and corrected based on the non-response.  Design weights were adjusted using response homogeneity group method. The design weights were adjusted using the data of response level in each stratum for each mode (CAPI/CATI).

Calibration was applied using raking-ratio method.

Average annual statistics on usually resident population living in Latvia households (by sex, 5-year age group, in territorial breakdown) as well as the State Employment Agency (SEA) data on registered unemployed persons (by age group on average per year) were used as the auxiliary information for the weights calibration.

To meet the requirements of the Regulation No 377/2008 Annex 1 Clause 3 on the consistency of totals, in the weights calibration additionally also LFS full-sample employment, unemployment and inactive population estimated by sex and 10-year age group were used. 

 Y

 (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; over 75)

 NUTS 3

 Type of territory
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)

 

The initial weights are calculated according to the sample design, with all households within the same PSU having equal design weights. The design weights are adjusted using the data of response level in each strata for each wave. These weights were then adjusted on the basis of demographic data.

 NA

 NA

 For adjustment of the quarterly weights demographic data are broken down by type of territory (as in stratification), 19 age groups and sex as well as in NUTS 3 (6 regions and 5 age groups, eight state cities, the information from the State employment agency by sex and 5 age groups and the information from the State Revenue Service by sex and 7 age groups.

 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? (ref. ESS guidelines on seasonal adjustment - Products Manuals and Guidelines - Eurostat (europa.eu) (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

 Y

 Y

 Y

 NA


19. Comment Top


Related metadata Top


Annexes Top
LFS Annex Latvia [LFS_QR_Multiple+1.0_upd]