Job vacancy statistics (jvs)

1.1. Contact organisation

NSI of Bulgaria

1.2. Contact organisation unit

Labour Statistics Division

1.3. Contact name

Confidential because of GDPR

1.4. Contact person function

Confidential because of GDPR

1.5. Contact mail address

2 Panayot Volov Str.,Sofia

1.6. Contact email address

Confidential because of GDPR

1.7. Contact phone number

Confidential because of GDPR

1.8. Contact fax number

Confidential because of GDPR

2.1. Data description

Job vacancy statistics (JVS) provide information on the level and structure of labour demand. The country transmits to Eurostat the quarterly data on the number of job vacancies and the number of occupied posts as well as provides the quality report under the JVS framework regulation and the two implementing regulations: the implementing regulation on the definition of a job vacancy, the reference dates for data collection, data transmission specifications and feasibility studies, as well as the implementing regulation on seasonal adjustment procedures and quality reports.

2.2. Classification system

The quarterly data are broken down by economic activity (at section level) in accordance with NACE Rev. 2 - Statistical classification of economic activities in the European Community.

2.3. Coverage - sector

Covered are enterprises from all economic activities irrespective of their type of ownership and source of financing, which have at least one employee working under labour contract.

2.4. Statistical concepts and definitions

A 'job vacancy' is defined as a paid post that is newly created, unoccupied, or about to become vacant:

• for which the employer is taking active steps and is prepared to take further steps to find a suitable candidate from outside the enterprise concerned; and
• which the employer intends to fill either immediately or within a specific period of time.

‘Active steps to find a suitable candidate’ include:

• notifying the job vacancy to the public employment services,
• contacting a private employment agency/head hunters,
• advertising the vacancy in the media (for example internet, newspapers, magazines),
• advertising the vacancy on a public notice board,
• approaching, interviewing or selecting possible candidates/potential recruits directly,
• approaching employees and/or personal contacts,
• using internships.

'Specific period of time’ refers to the maximum time the vacancy is open and intended to be filled. That period shall be unlimited; all vacancies for which active steps are continuing on the reference date shall be reported.

An 'occupied post’ means a paid post within the organisation to which an employee has been assigned.

2.5. Statistical unit

The observation units are enterprises, companies, ministries, departments, political, religious, public and other organizations, that perform economical activities in Republic of Bulgaria and have at least one employee working under labour contract during the reference period.

2.6. Statistical population

Enterprises with one and more employees.

2.7. Reference area

The whole country is covered.

2.8. Coverage - Time

From 2005.

2.9. Base period

Not applicable .

3.1. Source data

Identification of the source of the data	Quarterly Labour Cost Survey (QLCS)
Coverage
Geographical	The whole territory of the country
NACE	The data cover all the economic activities defined by NACE Rev. 2, except the activities of households as employers and the activities of extraterritorial organisations and bodies.
Enterprise size	The whole population of enterprises with 1+ employees.
Definition of the statistical unit	Enterprise
Remarks
Sampling design
Base used for the sample	Sampling frame based on Statistical Register and consists of all units that have submitted Annual activity reports in NSI and have at least one employee under labour contract.
Sampling design	Stratified random sample without replacement.
Retention/renewal of sampling units	The sample is updated annually in the beginning of the year on base of the results from the census Annual Survey on Labour and National Social Security Institute administrative register on insured persons.
Sample size	Q1-19 970; Q2-19 810; Q3-19 790; Q4-19790
Stratification	The population is stratified by: Economic activity (at the 2-digit level of NACE, Rev.2); Size class of the enterprise according to the number of employees: I-st - from 1 to 49 employees; II-nd - from 50 to 99 employees; III-rd (census) - from 100 and more employees; Regional breakdown (28 districts, NUTS3)
Other sources
Maintenance agency	Not applicable
Updating frequency	Not applicable
Rules for clearance (of outdated information)	Not applicable
Voluntary/compulsory reporting and sanctions	Not applicable
Remarks

3.2. Frequency of data collection

Reference dates
Last day of the calendar quarter

3.3. Data collection

Brief description of the data collection method(s)

Remarks

Information on number of occupied posts and job vacancies is collected by the Bulgarian National Statistical Institute via the traditional QLCS, in which questionnaire, a special section related to the job vacancy statistics was included attended by corresponding explanatory notes. There are two variables included in the questionnaire: Number of occupied posts and Number of vacancies. Each of the variables requires information broken down by occupation on a 1-digit level of ISCO08. The survey questionnaire is developed in paper and electronic format.

3.4. Data validation

The data validation goes through three stages:

• At the data entry;
• At regional level by the NSI Regional Statistical Offices;
• At national level by the NSI Head Office.

3.5. Data compilation

Brief description of the weighting method	Weighting dimensions
Horvitz-Thompson estimator is applied for calculation of occupied posts and vacancies. The weights are calculated as ratio between the number of employees in the population (N) and the number of employees in the sample (n) within each cell. Weight_ijk = N_ijk / n_ijk,    where i – Size class 1, 2, 3 (weight=1, if size class="3") j – Region (j=1÷28) k – 2-digit level of NACE, Rev.2	See first column and point 3.1

3.6. Adjustment

See point 6.4 on seasonal adjustment

4.1. Quality assurance

According to Article 2, point 3 from the Law on Statistics the statistical information shall be produced in compliance with the following criteria for quality: adequacy, accuracy, timeliness, punctuality, accessibility and clarity, comparability and logical consistency.

4.2. Quality management - assessment

Not applicable.

5.1. Relevance - User Needs

Description of the national users and their main needs	Remarks
Ministry of Labour and Social Policy and Ministry of Finance are the main users of the JVS data for policy needs and prognoses of labour market demands.

5.2. Relevance - User Satisfaction

Extent to which the needs of national users are satisfied (voluntary)	Remarks
User satisfaction is partial - more detailed data is requested about vacancies (part or full-time, limited or unlimite labour contract).

5.3. Completeness

Description of missing variables and missing breakdowns of the variables	Report progress on the implementation measures, including: a detailed plan and timetable for completing implementation a summary of the remaining deviations from EU concepts
All variables and breakdowns in accordance with Eurostat’s requirements are available with the exception of major group “0 - Armed forces” by ISCO08, which is not covered by the survey.	Not applicable

5.3.1. Data completeness - rate

100%.

6.1. Accuracy - overall

Not applicable.

6.2. Sampling error

The total number of surveyed enterprises in each quarter of 2024 is approximately 19 800, of which 15 390 are in the private sector. Up to 2007, the survey is carried out exhaustively for the public sector units and by a sample for the private sector enterprises. Since first quarter of 2008, a sample from the public owned schools and kindergartens is drawn and they are no longer exhaustively covered in the survey. The other part of public sector enterprises and budgetary institutions (nearly 3 770) are covered comprehensively in the survey.

The coefficients of variation by quarters of 2024 are:

(%)

	Q1	Q2	Q3	Q4
Posts	0,5	0,5	0,5	0,5
Vacancies	4,4	6,1	3,7	3,5

Coefficients of variation broken down by economic activities for Q1, Q2, Q3 and Q4 of 2024 are calculated by SPSS and are presented in point 6.2.1.

6.2.1. Sampling error - indicators

Coefficient of variation (taking into account the sampling design) or estimated sampling error for the number of job vacancies (see guidelines). NACE Rev.2 Economic activity Occupied  posts Q1 Vacancies  Q1 Occupied  posts Q2 Vacancies  Q2 Occupied posts Q3 Vacancies Q3 Occupied posts Q4 Vacancies Q4 A - S Total 0.5 4.4  0.5  6.1  0.5  3.7 0.5 3.5 A  Agriculture,forestry and fishing 3.9 42.9  4.2 45.6  4.2  80.7 4.0 75.0 B  Mining and quarrying  1.8 0.0  1.6  0.0  1.6  0.0 1.6 0.0 C  Manufacturing  0.9 7.9  0.9 7.7  0.9  5.5 0.9 5.1 D  Electricity,gas,steam and air conditioning supply 2.0  0.0  1.9 0.0  1.9 0.0 1.9 0.0 E  Water supply,sewerage,waste management and remediation activities  3.0 2.8  3.0  1.8  3.6  6.3 3.2 6.3 F  Construction 2.3 17.7  2.5  17.6  2.6  13.5 2.6 14.8 G  Wholesale and retail trade; repair of motor vehicles and motorcycles  1.1 5.4  1.1  12.6  1.1  7.1 1.1 6.8 H  Transportation and storage  2.1 31.3  2.1  27.2  2.1  26.1 2.2 23.3 I  Accommodation and food service activities  2.6 9.0  3.6  28.0  3.5  15.3 2.6 7.4 J  Information and communication  1.3 8.4  1.3 5.7  1.3 4.8 1.3 6.8 K  Financial and insurance activities  1.5 0.3  1.5  54.2  1.6 3.5 1.7 0.3 L  Real estate activities  5.0  44.7  4.9  13.3  5.2 54 5.2 93.3 M  Professional,scientific and technical activities  2.1  13.8  2.2  22.3  2.3 16.7 2.3 15.8 N Administrative and support service activities  1.6 9.3  1.7  8.3  1.7  9.6  1.9  9.6 P  Education  8.4 0.0  8.4  0.0  8.7  94.3 8.8 66.4 Q  Human health and social work activities  2.4  51.6  2.5  43.6  2.5  40.3 2.5 52.1 R  Arts,entertainment and recreation  3.1 7.8  5.7  15.4  3.3  33.0 3.7 3.3 S  Other service activities  3.2  29.1  3.1  31.1  3.2 24.8 3.2 30.6

 

6.3. Non-sampling error

Information on variables with non-negligible measurement and processing errors	Information on main sources of (non-negligible) measurement and processing errors and, if available, on methods applied for correction	Estimation bias: An assessment of the non-sampling errors, in terms of the absolute number of vacant posts,  for the total number of job vacancies and, where possible, for aggregation level of NACE Rev. 2 specified in Annex 1 to this Regulation and size classes (1-9, 10 + employees).	Remarks
None	The validation procedure consists of arithmetical and logical controls applied in the data entry and in the post validation process: - In the data entry a warning signal is given if the data on occupied posts are not filled; occupied posts and vacancies are equal; the enterprise is with many employees but with no vacancy; the enterprise is with suspiciously high number of vacancies etc; - In the post validation, the current data is compared with the previous quarter and additional checks are made for misclassification of ISCO08 groups.  The last refers especially to the data filled in major group 6 “Skilled agricultural and fishery workers” for enterprises with economic activity not presuming availability of such professions. In some cases, the budgetary organisations report unoccupied posts by pay-roll schedule as vacancies, no matter that the employer do not plan to hire employees. In cases of questionable, missing or wrong data, the respondents are re-contacted by the responsible statistician for further information and verification.	As we have no other source of reliable data on vacancies, assessment of the non-sampling errors has not been done.

6.3.1. Coverage error

Description of any difference between the reference population and the study population	Description of classification errors	Description of any difference between the reference dates and the reference quarter	Any other relevant information
The sample for 2024 survey is drawn from a population as at 31 December 2022 representing the most recent situation of the Statistical Register at the time of sampling. Using an old frame caused over and under coverage problems because of the inclusion in the sample of dead or sleeping units and not covering the newly established ones. The main reasons reported by the regional offices of NSI for the high non-response levels are rather “not found / out of date contact information”, “closed down/sleeping”, “no employees in the reference period” than explicit refusals.  The distribution of private sector’s firms in the population and the sample is presented in the Table below: Economic activities Number of enterprises in private sector by size classes Sample fraction - % Population Sample <50 50 - 99 100+ <50 50 - 99 100+ <50 50 - 99 100+ Total 190902 2786 2249 11466 1681 2229 6.0 60.3 100.0 A 9161 71 22 449 38 22 4.9 53.5 100.0 B 171 12 22 73 11 21 42.7 91.7 100.0 C 17874 855 798 1638 488 798 9.2 57.1 100.0 D 633 12 20 66 10 20 10.4 83.3 100.0 E 471 29 23 118 21 23 25.1 72.4 100.0 F 12405 352 132 651 205 132 5.2 58.2 100.0 G 61713 545 324 2962 318 324 4.8 58.3 100.0 H 12823 164 122 777 97 122 6.1 59.1 100.0 I 13401 168 103 708 100 103 5.3 59.5 100.0 J 6436 143 224 579 94 224 9.0 65.7 100.0 K 2468 36 83 193 30 83 7.8 83.3 100.0 L 5906 22 11 307 12 11 5.2 54.5 100.0 M 17426 75 78 1005 72 78 5.8 96.0 100.0 N 4931 147 157 475 95 157 9.6 64.6 100.0 P 2046 19 12 100 10 12 4.9 52.6 100.0 Q 7196 60 59 457 38 59 6.4 63.3 100.0 R 2771 39 37 252 22 37 9.1 56.4 100.0 S 13070 37 22 656 20 22 5.0 54.1 100.0	As the survey sample is drawn from the Statistical Register in which the most recent available data refers to period t-2 years the changes of economic activity and size classes of the enterprises could not be captured in time	No differences

 

6.3.1.1. Over-coverage - rate

Not applicable.

6.3.1.2. Common units - proportion

Not applicable.

6.3.2. Measurement error

See 6.3. non-sampling error.

6.3.3. Non response error

See 6.3.3.1.

6.3.3.1. Unit non-response - rate

Unit response rate
Unit response rate is about 97.3% for Q1 2024, 97.7% for Q2 2024, 97.7% for Q3 2024 and 97.4% for Q4 2024. The principle of compulsory participation in the QLCS is laid down in the National program for statistical surveys, but item non-response especially for variable Job vacancies could not be controlled. Amongst the reasons for non-response, the most common ones are due to the list errors.

6.3.3.2. Item non-response - rate

Not applicable.

6.3.4. Processing error

See 6.3. non-sampling error.

6.3.4.1. Imputation - rate

Item imputation rate and methods and, where possible, the effect of imputation on the estimates for the variables transmitted
Imputation is applied only for large enterprises, not submitted quarterly report in NSI by some reasons, and for category Occupied posts, but not for Vacancies. Data used for the imputation is based on the Register of insured persons. Non-responding sample units (first and second strata) are included in the survey by weighting procedures in the corresponding stratum.

6.3.5. Model assumption error

If modelling is used, include a description of the models used. Particular emphasis should be given to models for imputation or grossing-up to correct for unit non-response.
Not applicable

6.4. Seasonal adjustment

Brief description of seasonal adjustment procedures, in particular with regard to the European Statistical System guidelines on seasonal adjustment which have been endorsed and supported by the SPC.

National Statistical Institute performs seasonal adjustment of the vacancies series using Demetra software with TRAMO/SEATS method. The type of adjustment is the direct adjustment as the models are updated once a year, while the parameters are updated each time when new observation is added to the time series.   From the first quarter of 2014, 16 periods of data by NACE Rev.2 are available, which is considered to be sufficient length of the time series to provide seasonally adjusted data. Regularly seasonally adjusted series for the job vacancies and occupied posts by the aggregates B-S, B-E, B-N, F, G-I, G-N, J, K, L, M-N, O-Q and R-S have been sent since Q1 2014. It may be remarked that seasonality is available for G-I and G-N. It is mainly due to the demand of seasonal labour force for hotels and restaurants at the seaside during the summer months. In the rest economic activities it is not possible to maintain clearly for presence of seasonality.

Annexes:
Seasonal adjustment

6.5. Data revision - policy

See 6.6.

6.6. Data revision - practice

Provide a revision history, including the revisions in the published number of job vacancies and a summary of the reasons for the revisions.

Revisions of occupied posts and vacancies occur, when the data from QLCS are revised. The main reason for the revisions of QLCS data is to improve the comparability between quarterly (based on sample survey) and annual (census type) information on number of employees and wages and salaries. For example: In the population, from which the sample for quarterly survey during 2024 is formed, are included all private units that have submitted annual report about their activity during 2022. Due to the long period of time (2022 – 2024), it is possible to make revisions of the monthly data. The revision is done when annual final data for 2022 are announced. Its aim is to update the population. The last revision concerning JVS was for 2022 data.

6.6.1. Data revision - average size

Differences between revised and initial data for Q3 2022

(Enterprises with 1+ employees)

Economic activities	Vacancies	Occupied posts	Vacancies	Occupied posts
	(absolute figures)		(%)
A_S	299	99454	1.6	4.5
A	-40	610	-7.6	0.9
B	-15	-533	-8.1	-2.8
C	-198	6874	-5.1	1.5
D	2	732	0.6	2.6
E	5	402	1.7	1.1
F	9	15359	1.0	12.7
G	253	12907	15.7	3.5
H	152	11926	11.2	8.6
I	-107	14854	-11.1	16.3
J	56	9752	7.5	8.7
K	3	1704	0.8	3.3
L	76	2873	26.4	13.7
M	8	7836	1.5	10.0
N	50	4357	6.7	3.6
O	0	50	0.0	0.0
P	8	1296	1.3	0.8
Q	22	2860	0.8	1.7
R	0	900	0.0	2.6
S	15	4695	7.1	13.4

 

Differences between revised and initial data for Q3 2021

(Enterprises with 1+ employees)

Economic activities	Vacancies	Occupied posts	Vacancies	Occupied posts
	(absolute figures)		(%)
A_S	799	72511	4,4	3,3
A	-35	-2686	-5,2	-3,8
B	-4	28	-2,6	0,1
C	398	7121	10,4	1,5
D	6	591	2,1	2,0
E	0	179	0,0	0,5
F	278	12351	52,9	9,9
G	-38	5349	-2,0	1,4
H	35	10289	2,9	7,4
I	-41	5881	-5,9	6,2
J	32	6442	5,7	6,1
K	43	1774	10,5	3,3
L	-53	3472	-32,1	17,9
M	-10	6453	-1,7	8,4
N	-3	6299	-0,4	5,5
O	13	18	0,5	0,0
P	98	696	12,2	0,4
Q	8	2483	0,3	1,6
R	12	196	4,6	0,6
S	60	5575	48,8	16,2

 

Differences between revised and initial data for Q3 2020
(Enterprises with 1+ employees)

Economic activities	Vacancies	Occupied posts	Vacancies	Occupied posts
	(absolute figures)		(%)
A_S	104	79256	0,6	3,6
A	-7	295	-2,3	0,4
B	0	-1057	0,0	-5,2
C	-70	7960	-2,0	1,7
D	0	99	0,0	0.3
E	0	636	0,0	1,8
F	-175	13733	-11,0	11,0
G	-63	-905	-4,3	-0,2
H	3	13743	0,2	10,1
I	89	15277	18,2	17,2
J	-35	6318	-9,4	6,5
K	10	1109	3,9	2,1
L	33	2634	45,2	12,8
M	92	5470	17.4	7,3
N	-12	4657	-2,5	3,9
O	0	0	0,0	0,0
P	-9	1513	-1.3	0,9
Q	4	2290	0,1	1,5
R	44	1098	18,7	3,3
S	-8	4386	-4,8	13,3

7.1. Timeliness

See 7.1.1.

7.1.1. Time lag - first result

Information on the time span between the release of data at national level and the reference period of the data.
45/50 days after the reference period.

7.1.2. Time lag - final result

Not applicable.

7.2. Punctuality

See 7.2.1.

7.2.1. Punctuality - delivery and publication

Deadlines for the respondents to reply, also covering recalls and follow-ups	Period of the fieldwork	Period of data processing	Dates of publication of first results	Remarks
20 days after the end of the reference quarter. Recalls and follow-ups are cancelled 3 days before the official release date.	Until the 20th day after the end of the reference quarter.	From the 20th to the 39th day after the end of the reference quarter.	45/50 days after the reference period.

8.1. Comparability - geographical

Information on differences between national and European concepts, and — to the extent possible — their effects on the estimation.
No differences from 2018.

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

8.2. Comparability - over time

Information on changes in definitions, coverage and methods in any two consecutive quarters, and their effects on the estimation.	Remarks
There are no changes in the definitions, coverage and estimations since the JVS data collection started.

8.2.1. Length of comparable time series

Not applicable.

8.3. Coherence - cross domain

Comparisons of data on the number of vacant jobs from other relevant sources when available, in total and broken down by NACE at section level when relevant, and reasons if the values differ considerably.

It is difficult to compare the figures from both sources – QLCS and Agency of Employment. JVS is based on a sample and units that have not got at least one employee are excluded from the population. On the other hand, it is not employers’ duty to give up data about vacancies in the Agency of Employment. Comparability between number of occupied posts (from JVS) and number of employed persons reported in the Labour Force Survey (LFS). Comparisons of LFS employees and occupied posts: The LFS data are higher in almost all NACE sections than the ones from JVS. Apart from methodological discrepancies (sampling unit, reference period, method of data collection) there are some other reasons which could explain the differences between the data: The LFS figures include as employees more groups than the JVS - persons under civil type of contract (contact for certain work to be done); persons working under contract for management and control and persons working without any type contract (mainly in sections F and G); Military personal is not covered by the JVS; Coding of NACE in LFS is based on the description of economic activity, given by respondents. In the Business statistics NACE codes are obtained from the statistical register of enterprises. For example, in section L. The enterprises/local units are classified in this section due to the fact that its main turnover comes from Renting and operating of own real estate while the employees perform tasks related to other economic activities. See the annex on Beveridge curve and comparison of LFS and JVS data.

 

Annexes:
BG comparison of JVS with LFS data 2024
BG Beveridge curve 2024

8.4. Coherence - sub annual and annual statistics

Not applicable.

8.5. Coherence - National Accounts

Not applicable.

8.6. Coherence - internal

Not applicable.

9.1. Dissemination format - News release

No news release is published.

9.2. Dissemination format - Publications

Dissemination scheme, including to whom the results are sent	Periodicity of national publication	References for publications of core results, including those with commentary in the form of text, graphs, maps, etc.	Information on what results, if any, are sent to reporting units included in the sample
Data on Number of Vacancies, Number of Occupied posts and Job vacancy rate broken down by NACE Rev.2 section level are published quarterly on NSI’s website, section Labour market, as well in Information System INFOSTAT.	Quarterly	Not available	It’s not foreseen to provide information to units included in the sample.

9.3. Dissemination format - online database

Not applicable.

9.3.1. Data tables - consultations

Not applicable.

9.4. Dissemination format - microdata access

Not applicable.

9.5. Dissemination format - other

Not applicable.

9.6. Documentation on methodology

Not applicable.

9.7. Quality management - documentation

Description of and references for metadata provided	References for core methodological documents relating to the statistics provided	Description of main actions carried out by the national statistical services to inform users about the data	Remarks
All of the NSI publications contain methodological notes and definitions.	Not available	List of the standard statistical indicators is available on NSI’s website. In the beginning of the year a precise calendar presenting the results of the statistical surveys carried by the NSI is published on the website.

9.7.1. Metadata completeness - rate

Not applicable.

9.7.2. Metadata - consultations

Not applicable.

Not applicable.

11.1. Confidentiality - policy

See 11.2.

11.2. Confidentiality - data treatment

Disclosure rules: Brief description of when data have to be deleted for reasons of confidentiality
According to the Bulgarian Law on Statistics, confidential data is statistical information which aggregates data about less than three statistical units or about a population in which the relative share of the value of a surveyed parameter of a single unit exceeds 85 per cent of the total value of such parameter for all units in the population.

Special remarks
None.

Job vacancy statistics (JVS) provide information on the level and structure of labour demand. The country transmits to Eurostat the quarterly data on the number of job vacancies and the number of occupied posts as well as provides the quality report under the JVS framework regulation and the two implementing regulations: the implementing regulation on the definition of a job vacancy, the reference dates for data collection, data transmission specifications and feasibility studies, as well as the implementing regulation on seasonal adjustment procedures and quality reports.

Not Applicable

A 'job vacancy' is defined as a paid post that is newly created, unoccupied, or about to become vacant:

• for which the employer is taking active steps and is prepared to take further steps to find a suitable candidate from outside the enterprise concerned; and
• which the employer intends to fill either immediately or within a specific period of time.

‘Active steps to find a suitable candidate’ include:

• notifying the job vacancy to the public employment services,
• contacting a private employment agency/head hunters,
• advertising the vacancy in the media (for example internet, newspapers, magazines),
• advertising the vacancy on a public notice board,
• approaching, interviewing or selecting possible candidates/potential recruits directly,
• approaching employees and/or personal contacts,
• using internships.

'Specific period of time’ refers to the maximum time the vacancy is open and intended to be filled. That period shall be unlimited; all vacancies for which active steps are continuing on the reference date shall be reported.

An 'occupied post’ means a paid post within the organisation to which an employee has been assigned.

The observation units are enterprises, companies, ministries, departments, political, religious, public and other organizations, that perform economical activities in Republic of Bulgaria and have at least one employee working under labour contract during the reference period.

Enterprises with one and more employees.

The whole country is covered.

Not Applicable

Not applicable.

Not Applicable

Brief description of the weighting method	Weighting dimensions
Horvitz-Thompson estimator is applied for calculation of occupied posts and vacancies. The weights are calculated as ratio between the number of employees in the population (N) and the number of employees in the sample (n) within each cell. Weight_ijk = N_ijk / n_ijk,    where i – Size class 1, 2, 3 (weight=1, if size class="3") j – Region (j=1÷28) k – 2-digit level of NACE, Rev.2	See first column and point 3.1

Identification of the source of the data	Quarterly Labour Cost Survey (QLCS)
Coverage
Geographical	The whole territory of the country
NACE	The data cover all the economic activities defined by NACE Rev. 2, except the activities of households as employers and the activities of extraterritorial organisations and bodies.
Enterprise size	The whole population of enterprises with 1+ employees.
Definition of the statistical unit	Enterprise
Remarks
Sampling design
Base used for the sample	Sampling frame based on Statistical Register and consists of all units that have submitted Annual activity reports in NSI and have at least one employee under labour contract.
Sampling design	Stratified random sample without replacement.
Retention/renewal of sampling units	The sample is updated annually in the beginning of the year on base of the results from the census Annual Survey on Labour and National Social Security Institute administrative register on insured persons.
Sample size	Q1-19 970; Q2-19 810; Q3-19 790; Q4-19790
Stratification	The population is stratified by: Economic activity (at the 2-digit level of NACE, Rev.2); Size class of the enterprise according to the number of employees: I-st - from 1 to 49 employees; II-nd - from 50 to 99 employees; III-rd (census) - from 100 and more employees; Regional breakdown (28 districts, NUTS3)
Other sources
Maintenance agency	Not applicable
Updating frequency	Not applicable
Rules for clearance (of outdated information)	Not applicable
Voluntary/compulsory reporting and sanctions	Not applicable
Remarks

Not Applicable

See 7.1.1.

Information on differences between national and European concepts, and — to the extent possible — their effects on the estimation.
No differences from 2018.

Information on changes in definitions, coverage and methods in any two consecutive quarters, and their effects on the estimation.	Remarks
There are no changes in the definitions, coverage and estimations since the JVS data collection started.