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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Instituto Nacional de Estadística de España (INE). |
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1.2. Contact organisation unit | Labour Market Statistics Directorate (INE) |
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1.5. Contact mail address | Avenida de Manoteras 50-52 |
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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. It also 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. Since 2021, the only source of information for vacancies data is the Quarterly Labour Cost Survey (QLCS). For occupied posts data, sections O and P are completed with administrative data in order to include all employees in these activities. There are of two different social security systems in public administration in Spain:
The time series of vacancies has been revised from the data submission of the first quarter of 2021. Revisions have been made for the period from the first quarter of 2013 onwards. |
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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. |
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2.3. Coverage - sector | |||
All economic activities defined by NACE Rev. 2, except agriculture, forestry and fishing activities (optional in the JVS framework regulation), as well as the activities of households as employers and extraterritorial organisations and bodies. |
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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: (a) 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 (b) 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. |
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2.5. Statistical unit | |||
The unit used in the Quarterly Labour Cost Survey is the "account of contributions". It is an administrative concept that companies use to pay the social contributions of their employees and usually coincide with the local unit. For NACE section O and P: contribution account of the General Scheme of the Social Security or ‘ministry or autonomous organization crossed with kind of staff’ for civil servants not in Social Security. |
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2.6. Statistical population | |||
Enterprises with one and more employees |
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2.7. Reference area | |||
The geographic area includes the whole national territory (including Canary Island, Balearic Island and Ceuta and Melilla). |
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2.8. Coverage - Time | |||
Time series classified by NACE Rev. 2 are available from the first quarter of 2009 onwards. |
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2.9. Base period | |||
Not applicable. |
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3.1. Source data | ||||||||||||||||||||||||||||||||||||||
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3.2. Frequency of data collection | ||||||||||||||||||||||||||||||||||||||
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3.3. Data collection | ||||||||||||||||||||||||||||||||||||||
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3.4. Data validation | ||||||||||||||||||||||||||||||||||||||
The process of carrying out the statistics has established controls to detect and correct errors in order to ensure quality since the beginning of the process. The collection, recording and validation phases are key |
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3.5. Data compilation | ||||||||||||||||||||||||||||||||||||||
Annexes: Estimation and weighting method |
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3.6. Adjustment | ||||||||||||||||||||||||||||||||||||||
No adjustment is made for job vancies data. See information on seasonal adjustment in point 6.4 |
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4.1. Quality assurance | |||
Quality assurance framework for the INE statistics is based on the ESSCoP, the European Statistics Code of Practice made by EUROSTAT. The ESSCoP is made up of 15 principles, gathered in three areas: Institutional Environment, Processes and Products. Each principle is associated with some indicators which make possible to measure it. In order to evaluate quality, EUROSTAT provides different tools: the indicators mentioned above, Self-assessment based on the DESAP model, peer review, user satisfaction surveys and other proceedings for evaluation. The compilation process of the statistics has established controls for detecting and correcting errors, for the purpose of guaranteeing the quality thereof from the beginning of the process onward. The collection, recording and filtering processes of the information are fundamental stages in the development of any statistical research. The collection of questionnaires and the recording thereof are carried out in the Provincial Delegations of the INE. Prior to processing the information, a comprehensive control of the data provided by the respondent units is performed, in order to ensure the validity thereof. The received data are subject to a dual control: - A first filtering, simultaneous to the recording, is performed in the provincial delegations, and has the objective of detecting incomplete and erroneous questionnaires, as well as guaranteeing the coherence of the recorded data. - A second control is carried out in the central services with the purpose of avoiding inconsistencies between related variables. Inconsistencies may arise both between different variables at the same moment of time or in the evolution of a single variable (unexpected changes with respect to recent quarters). Macrofiltering based on already elevated data is also used. In any case, if any erroneous or inconsistent items of data were detected, the provincial delegation responsible for the questionnaire would establish telephone contact with the respondent in order to clarify the information. In general terms, the filtering is focused on the following aspects: - Detecting incomplete questionnaires: partial non-response is not allowed. - Guaranteeing the coherence of the data: The data must respect the legal limits established with regard to working day, minimum wage, etc. On the other hand, the questionnaire is divided into 5 well-differentiated, but closely inter-related blocks, among which there must be certain coherence. - Guaranteeing the time coherence of the main study variables. The objective is to detect possible errors in the data, via a comparison of the main variables, with regard to the same variables in prior quarters. |
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4.2. Quality management - assessment | |||
Optional |
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5.1. Relevance - User Needs | ||||
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5.2. Relevance - User Satisfaction | ||||
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5.3. Completeness | ||||
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5.3.1. Data completeness - rate | ||||
100% |
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6.1. Accuracy - overall | ||||||||
Optional |
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6.2. Sampling error | ||||||||
See below. |
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6.2.1. Sampling error - indicators | ||||||||
Annexes: Sampling errors |
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6.3. Non-sampling error | ||||||||
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6.3.1. Coverage error | ||||||||
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6.3.1.1. Over-coverage - rate | ||||||||
Data collection for 2022 showed that 1.6% in average of the units were inactive or closed . Only 0.4% were erroneously included units. All these units are replaced by others that belong to the same stratum in the next quarter survey. A 1.0% showed no activity during the surveyed month but remain in the sample since they can be units with seasonal activities. |
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6.3.1.2. Common units - proportion | ||||||||
Optional |
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6.3.2. Measurement error | ||||||||
[see 6.3 non-sampling error] |
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6.3.3. Non response error | ||||||||
See next points |
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6.3.3.1. Unit non-response - rate | ||||||||
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6.3.3.2. Item non-response - rate | ||||||||
Item non-response is not allowed by the collect procedure. |
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6.3.4. Processing error | ||||||||
[see 6.3 non-sampling error] |
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6.3.4.1. Imputation - rate | ||||||||
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6.3.5. Model assumption error | ||||||||
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6.4. Seasonal adjustment | ||||||||
Annexes: Quality report on SA all units Quality report on SA units with 10 or more employees |
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6.5. Data revision - policy | ||||||||
Advance notice of major changes in methodology expected to take place during a particular year is given in the annual publication " Programa Anual del Instituto Nacional de Estadística" (in Spanish), which is published in the last quarter of the previous year. National data on job vacancies are published according with the calendar publication of the QLCS (http://www.ine.es/en/daco/daco41/calen_en.htm) and they are final data. However, the data sent to Eurostat in t+70 days are provisional data. The introduction of one revision has been necessary because the first calculation of job vacancy data is based on provisional data from the QLCS. The checking, validation and debugging processes have not finished and those questionnaires with "rare responses" pending the confirmation from the enterprises are imputed. 80 days after the reference period the QLCS is published and job vancacy data recalculated with their final data producing the revision of the data. This revision is sent with the provisional data of next quarter. So, there is only one revision for each quarter. |
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6.6. Data revision - practice | ||||||||
Annexes: Revision history |
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6.6.1. Data revision - average size | ||||||||
The average size of the revisions for the last four quarters is 0.4% |
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7.1. Timeliness | ||||||||||
See below. |
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7.1.1. Time lag - first result | ||||||||||
Annexes: Release calendar |
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7.1.2. Time lag - final result | ||||||||||
Optional |
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7.2. Punctuality | ||||||||||
See below. |
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7.2.1. Punctuality - delivery and publication | ||||||||||
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8.1. Comparability - geographical | ||||
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8.1.1. Asymmetry for mirror flow statistics - coefficient | ||||
Optional |
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8.2. Comparability - over time | ||||
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8.2.1. Length of comparable time series | ||||
Optional |
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8.3. Coherence - cross domain | ||||
Annexes: JVS versus LFS data 2022 Beveridge curve for Spain 2022 |
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8.4. Coherence - sub annual and annual statistics | ||||
Optional |
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8.5. Coherence - National Accounts | ||||
Optional |
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8.6. Coherence - internal | ||||
Optional |
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9.1. Dissemination format - News release | ||||||||
Optional |
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9.2. Dissemination format - Publications | ||||||||
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9.3. Dissemination format - online database | ||||||||
Optional |
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9.3.1. Data tables - consultations | ||||||||
Optional |
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9.4. Dissemination format - microdata access | ||||||||
Optional |
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9.5. Dissemination format - other | ||||||||
Optional |
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9.6. Documentation on methodology | ||||||||
Optional |
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9.7. Quality management - documentation | ||||||||
Annexes: Methodology of QLCS |
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9.7.1. Metadata completeness - rate | ||||||||
Optional |
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9.7.2. Metadata - consultations | ||||||||
Optional |
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Optional |
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11.1. Confidentiality - policy | |||
Regulation 12/1989 of the Public Statistics states that INE can not disseminate, or make available in any way, individual or aggregate data that could lead to the identification of previously unknown information of a person or entity. Moreover, European Regulation 223/2009 on European statistics establishes the need to implement common principles and guidelines ensuring the confidentiality of the data used to produce European statistics and the access to those confidential data with due account for technical developments and the needs of users in a democratic society. |
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11.2. Confidentiality - data treatment | |||
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