Turnover in industry

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Central Statistical Bureau of Latvia (CSB)


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)
 



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1. Contact Top
1.1. Contact organisation

Central Statistical Bureau of Latvia (CSB)

1.2. Contact organisation unit

Business Statistics Department, Industrial and Conctruction Statistics section

1.5. Contact mail address

Lāčplēša Street 1, Riga, LV-1301


2. Metadata update Top
2.1. Metadata last certified 02/06/2023
2.2. Metadata last posted 02/06/2023
2.3. Metadata last update 02/06/2023


3. Statistical presentation Top
3.1. Data description

Industrial turnover (120):

— Industrial domestic turnover (121)

— Industrial non-domestic turnover (122)

Starting with 2014 non-domestic indicator is published in the following breakdown: turnover to euro area countries (122z) and turnover to non-euro area countries (122x). 

The purpose of the survey is to provide data for the calculation of STS. The aim of the turnover indicator is to show the development of turnover in value, and data is collected specifically for the domestic market and for the non-domestic market.

3.2. Classification system

NACE Rev. 2.

3.3. Coverage - sector

The survey covers sections B, C of NACE Rev. 2.

During the reference year, the survey covers enterprises where 20 or more persons are employed in industrial production. The sample additionally includes enterprises employing fewer than 20 people, to ensure that the data compiled on Divisions of NACE Rev. 2 (data at 2-digit level) cover at least 80 % of business structural statistics turnover in 2021.

3.4. Statistical concepts and definitions

The objective of the turnover index is to show the development of the market for goods and services. Turnover comprises the totals invoiced by the observation unit during the reference period, and this corresponds to market sales of goods or services supplied to third parties.

Data refers to turnover during the calendar month

On a monthly basis the following main variables are collected:

  •  total turnover (excluding VAT and excise taxes);
  •  domestic turnover;
  •  non domestic turnover;
3.5. Statistical unit

Observation unit - Kind of activity unit (KAU)

Reporting unit - Enterprise

3.6. Statistical population

In 2023, number of enterprises surveyed monthly – 1521, the share of enterprises in the volume of industrial production exceeded 80%.

Data for Industrial Turnover Index are collected from economically active enterprises if their main or secondary activity is industry, Section B (Mining and quarrying) and C (Manufacturing) in compliance with Statistical Classification of Economic Activities (NACE Rev.2), and if 20 and more persons are employed in industrial production.The sample additionally includes enterprises employing fewer than 20 people, to ensure that the data compiled on Divisions of NACE Rev. 2 (data at 2-digit level) cover at least 80 % of business structural statistics turnover in 2021.

Index calculation does not include Section D (Electricity, gas, stream and air conditioning and E (Water supply, sewerage, waste management and remediation).
3.7. Reference area

Only industrial production produced in territory of Latvia is included in the data.

3.8. Coverage - Time

Time series for this indicator according to NACE Rev. 2 is available starting from 2000.

3.9. Base period

2015 = 100


4. Unit of measure Top

Index


5. Reference Period Top

Month


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

Official Statistics Law is the legal base of all statistics. https://likumi.lv/ta/en/en/id/274749

The questionnaire is adopted by the Rules of Cabinet of Minister of the Republic of Latvia No 812 of 20 December 2016.

Rules of Cabinet of Minister of the Republic of Latvia No 691 of 24 November 2020 concerning National Statistical Information program for the 2021-2023.

REGULATION (EC) No 1893/2006 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 20 December 2006 establishing the statistical classification of economic activities NACE Revision 2 and amending Council Regulation (EEC) No 3037/90 as well as certain EC Regulations on specific statistical domains.

REGULATION (EC) No 223/2009 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 11 March 2009 on European statistics and repealing Regulation (EC, Euratom) No 1101/2008 of the European Parliament and of the Council on the transmission of data subject to statistical confidentiality to the Statistical Office of the European Communities, Council Regulation (EC) No 322/97 on Community Statistics, and Council Decision 89/382/EEC, Euratom establishing a Committee on the Statistical Programmes of the European Communities.

COMMISSION IMPLEMENTING REGULATION(EU) 2020/1197 of 30 July 2020 laying down technical specifications and arrangements pursuant to Regulation (EU) 2019/2152 of the European Parliament and of the Council on European business statistics repealing 10 legal acts in the field of business statistics.

6.2. Institutional Mandate - data sharing

Not applicable


7. Confidentiality Top
7.1. Confidentiality - policy

Confidentiality of the information provided by respondents is protected by the Chapter III Section 17 of the Official Statistics Law stipulating rights and obligations of the Central Statistical Bureau and other state authorities producing official statistics.

Section 17. Data Processing and Statistical Confidentiality

(1) The statistical institution shall use the data that are obtained in accordance with Sections 14, 15, and 16 of this Law for the production of official statistics, with the exception of cases laid down in Sections 25 and 26 of this Law.

(2) The data may be modified, supplemented or combined with other data available to the statistical institution, as well as re-used for the production of other official statistics.

(3) In using data, the statistical institution has the right to establish and maintain statistical registers for the production of official statistics.

(4) The statistical institution shall determine the data storage duration, by taking into account the needs for production of official statistics.

(5) Data of a natural person obtained for the production of official statistics shall be anonymised immediately after collection, testing and linking thereof, except the case where personal data are still required for production of official statistics. The statistical institution shall ensure that the identifying data are stored safely and separately from other data.

(6) The statistical institution shall take all the necessary measures to prevent unauthorised access to data, data modification or dissemination, accidental or unauthorised destruction.

(7) Employees of the statistical institution shall not disclose data or any other restricted access information coming to their knowledge in the performance of their service or work duties. This shall also apply to persons who are temporarily involved in the production of official statistics or have terminated employment or service relations.

7.2. Confidentiality - data treatment

Statistical data shall be considered confidential if they directly or indirectly allow for identification of the private individuals or State authorities regarding which personal statistical data have been provided. Confidential data are treated by suppression. Data are confidential if there are 3 or less enterprises or one enterprise accounts for more then 80% or two of them more than 90%. Also the data of individual enterprises or establishment are confidential.


8. Release policy Top
8.1. Release calendar

Data on Industrial turnover are published at 34th day after the end of reference period. The data are released simultaneously to all interested parties by issuing a press release at 13.00 o’clock of the local time. At the same date, data are also sent to Eurostat. Release calendar is available on the Official statistics portal. 

 

8.2. Release calendar access

Release calendar is available on the Official statistics portal: https://stat.gov.lv/en/calendar?Dates=%22Next+8+days%22

8.3. Release policy - user access

Data are released simultaneously to all interested parties by issuing the press release "Industrial production in xxx (month)" to both media and leading government officials. Press release and indicators are also published on the Internet calendar.

Data are transmitted to Eurostat on the same day as they are nationally published, 34 days after the reference period.


9. Frequency of dissemination Top

Monthly, quartly and yearly.


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

The following advance release for Industrial turnover calendar is available on the homepage

  • Advance release of the news release. Prepared at the end of year for upcoming year;
  • Planned updates of statistical databases.Prepared at the end of year for upcoming year;
  • Planned release dates at SDDS data page for the coming four months;

The data set is subsequently posted on the Official statistics portal. Press release and indicators are also published on the Internet.

10.2. Dissemination format - Publications

The data set is subsequently posted on the Official statistics portal. Press release and indicators are also published on the Internet. (https://stat.gov.lv/en/calendar?activeTab=published).

10.3. Dissemination format - online database

Information on industrial turnover indices is available on the Official statistics portal database under Business sectors/Industry.

Comparable time series are available since 2000 (with the base year 2015).

Data are published in the statistical database, in addition to the total index, indices for each field of activity (mainly at the 2-digit level of NACE Rev.2).

Official statistics portal and databases:  https://stat.gov.lv/en/search?Type=%5B%22table%22%5D&Themes=%222490%22 include monthly time series for the following detailed data: seasonally adjusted, unadjusted and by working day adjusted data on the total turnover index: the period compared with the previous period; and the period compared with the corresponding period of the previous year and 2015=100.

10.4. Dissemination format - microdata access

Not available.

10.5. Dissemination format - other

Data are sent to Eurostat and information on industrial turnover is available on the homepage of Statistical Office of the European Union (EUROSTAT): http://ec.europa.eu/eurostat/data/database

10.6. Documentation on methodology

A short description of the methodology is available on the website of the Official statistics portal: https://stat.gov.lv/en/metadata/5723-industrial-turnover-index

10.7. Quality management - documentation

The CSB of Latvia has established a quality framework based on Operational Strategy of the CSB, mid-term Strategic Goals in Quality in Statistics and Action Plan of implementation of strategic goals in quality in statistics. Monitoring of Action Plan is performed monthly.
The CSB in its actions takes into consideration the European Statistics Code of Practice, the Fundamental Principles of Official Statistics of United Nations and ESS Quality Declaration as well as other related legal acts.

Metadata is prepared each month and disseminated on the Official statistics portal


11. Quality management Top
11.1. Quality assurance

The quality of statistics is assessed according to five quality criteria: relevance, accuracy, timeliness and punctuality, accessibility and clarity, coherence and comparability.
The quality indicators are calculated taking into account Eurostat methodology for the calculation of Quality indicators and documented into Project's Documentation System.

11.2. Quality management - assessment

Every month the following indicators for quality monitoring and assurance are calculated: fields of relevance, accuracy and reliability, timeliness and punctuality, comparability, coherence are completed.


12. Relevance Top
12.1. Relevance - User Needs

Data on industrial turnover index for users are available on the Official statistics portal database. Data are updated every month. The main users are: Eurostat, Bank of Latvia, European Central Bank, International Monetary Fund, Ministry of Finance, Ministry of Economy, Quarterly National Account Section of Macroeconomic Statistics Department (internal user).

12.2. Relevance - User Satisfaction

We don’t receive any special feedback from our users and no user satisfaction survey has been done for this statistics. Official Statistics Portal data flow is monitored

12.3. Completeness

Statistics on industrial turnover index is available on a monthly basis in accordance with the requirements of Regulation No 2019/2152.


13. Accuracy Top
13.1. Accuracy - overall

The accuracy is tackled at national level, by eliminating inconsistencies and errors. Data are collected from economically active enterprises if their main or secondary activity in compliance with Statistical Classification of Economic Activities (NACE Rev.2) is Mining and quarrying (Section B), Manufacturing (Section C) and if 20 and more persons are employed in industrial production. The sample additionally includes enterprises employing fewer than 20 people, to ensure that the data compiled on Divisions of NACE Rev. 2 (data at 2-digit level) cover at least 80 % of business structural statistics turnover in 2021.

The response rate is 95%.

13.2. Sampling error

Sampling errors are not calculated for Turnover indices.

13.3. Non-sampling error

Over-coverage errors:

There is error in unit classification, because some units accessible via frame do not belong to the target population (in the case, when activity of enterprise has changed). This error not exceeds 1 %. The change of unit classification is cathed as soon as possible and the kind of activity is changed.

Data collection or access errors:

Data collection errors are minimised by data analysis (comparing industrial turnover with other data admin data and clarification of data).

Item non-response is 5 %.

Editing, coding and imputation errors:

As the small part of data is imputed (only 5 %) and imputation is made by using historical data of enterprise, the growth rate of similar enterprises in the same NACE code and the imputed value is chosen by expert judgement.

Modelling errors:

There are not models used for estimation.

The survey is compulsory. 34 days after the end of the reference month, when the first data are published, the response rate is close to 100%. Telephone contacts are used to follow-up the missing responses after the 15th date of the month. Data can be submitted electronically (used by 98% of respondents) and by e-mail (about 2%). At the time when data are provided to Eurostat and published nationally, the response rate is the same. Monthly non-response rate for the industrial turnover index is under 5 % in the establishments included in the calculation, i.e., response rate comprises 95%. Imputation is used to compensate the non-response; this is made by means of previous replies and/or the replies of other businesses.


14. Timeliness and punctuality Top
14.1. Timeliness

Turnover index is published at 13:00 o’clock of local time on the 34th day after the end of the reference month; if the 34th day is weekend or holiday, it is published on the next working day. Questionnaires are sent to the reporting unit at the end of the year for all months of the coming year, asking to give information on each reference month till the 15th date of the following month. Data collection normally is closed 5 days before the publication.

14.2. Punctuality

The data were published according to the release calendar and sent to Eurostat at the same date when published press release in Official statistics portal.

In 100% of cases data are published in line with the schedule.


15. Coherence and comparability Top
15.1. Comparability - geographical

Methods and definitions are comparable with the European ones and covers all national territory.

15.2. Comparability - over time

Industrial Turnover Index published on the Official statistics portal database is available free of charge; information includes monthly data starting from 2000 and onwards and according to the NACE Rev. 2 (down to two-digit level). Data are comparable over time.

15.3. Coherence - cross domain

Comparisons are made with monthly industrial production. Turnover value data is in coherance with SBS, PRODCOM surveys. The main difference between STS data and annual SBS data are due to different size of sample and different unit of observation (enterprise for SBS and kind of activity unit for STS). PRODCOM and STS data also vary because of different sample size and collecting data by manufactured products. 

15.4. Coherence - internal

Aggregation: using base period weights, the lowest-level indices are progressively aggregated to 3- and 2-digit NACE levels, MIGs and total index.


16. Cost and Burden Top

In 2022, the number of enterprises surveyed monthly comprised 1 529 and their share in the total volume of industrial production exceeded 80%.

In Latvia, statistical questionnaires contain a question about the time necessary for respondents to fill in the questionnaire. According to the results, the annual average burden in hours worked is 2.3 hours per respondent or totally 2852.0 hours for all enterprises. 


17. Data revision Top
17.1. Data revision - policy

CSB Revision policy has been lain down in accordance with the European Union and international recommendations and good practice.

Basically, the CSB statistical data are revised in accordance with the scheduled revision cycle and plan.

Within the context of industry statistics routine revisions of statistical data concern:

  • regular revisions of the published data, adding revised or more detailed information; revisions of the published data with the help of seasonal adjustment method.
  • long-term planned revisions of the published data in accordance with the changes in methodology or classifications.
  • unplanned revision (correction of errors) are carried out, if a respondent updates, supplements or corrects data on any of the previous periods, or if the methodology changes.

Vintage database has not introduced.

Revision policy is available on the CSB website: https://www.csp.gov.lv/en/media/5105/download?attachment

The same revision policy is applied nationally and in transmissions to Eurostat.

17.2. Data revision - practice

Regular (routine) revisions of Industrial Turnover Index (non-adjusted data) are done every quarter, when publishing data on the last month of the quarter, the data of previous two months are updated. Revision of sesonal adjausted data are done every month. Calendar adjusted figures, seasonally adjusted figures and trend figures are revised from January 2000 onwards every month. Regular revisions are quite small and usually do no affect totals. In databases metadata  users are informed of regular revisions. 

Long-term planned (major) revisions are conducted after amendments in legal acts, due to changes in the base year and classifications entail revisions. 

If there are unplanned revisions (correction of errors), the data are corrected as soon as possible and revised data have note consisting date and basic information of revision. Published indices may be revised if the corrections made to the calculations have significant influence on the total industrial turnover index. 

In case of changes in methodology or major changes in the data, the public will be informed in advance  of the event.

Benchmarking is not used.


18. Statistical processing Top
18.1. Source data

Data on industrial turnover are obtained with the help of enterprise survey, building a threshold sample. Data are collected from the CSB monthly report "1-r "Survey of industrial activity"".

Information on industrial turnover during the reference period at current prices is collected each month until the 25th date, according to the classes of Statistical Classification of Economic Activities NACE Rev. 2.

18.2. Frequency of data collection

Monthly

18.3. Data collection

Data for Industrial Turnover Index are collected from economically active enterprises if their main or secondary activity is industry, Section B (Mining and quarrying) and C (Manufacturing) in compliance with Statistical Classification of Economic Activities (NACE Rev.2), and if 20 and more persons are employed in industrial production. 

The sample additionally includes enterprises employing fewer than 20 people, to ensure that the data compiled on Divisions of NACE Rev. 2 (data at 2-digit level) cover at least 80 % of business structural statistics turnover in 2021.

18.4. Data validation

CSB has the main program used for data entry, processing with automatic control and validation tools - ISDMS (Integrated Statistical Data Management System).
Standard MS Office professional software (MS Excel, MS Access) is used daily for the compilation of industrial statistics.

Data are compared with the previous period and the same period of the previous year.

18.5. Data compilation

Industrial Turnover Index is nondeflated index and calculation thereof includes Section B (Mining and quarrying) and Section C (Manufacturing). Weights are industrial turnover of 2015 in breakdown – domestic market and export. Base used for the comparisons is average monthly turnover of 2015.

18.6. Adjustment

Calendar and seasonal adjustment

A time series is a sequence of observations collected at regular time intervals, for example, a monthly time series. It characterises indicator changes or development thereof.  Seasonality and calendar effects are present in a large number of economic time series.

Seasonality or seasonal fluctuations of time series mean those movements, which recur with similar intensity in the same season each year. For example, each year Christmas shopping time can be observed in time series reflecting retail sales statistics. Change of seasons, social habits and influence of institutional factors are among the main causes of seasonality.

The calendar effects cover influence of calendar on time series. It is impact left by differing number of working days (or Mondays, Tuesdays and other days of the week) in months on changes of indicator. For example, number of working days differing among the months may affect goods produced time series.

When the time series are influenced by seasonality or calendar effects, it may be difficult to get clear understanding on indicator changes over the time.  Seasonal adjustment is made to eliminate seasonal fluctuations and calendar effects in time series.

As a result seasonally adjusted time series, from which seasonality and calendar effects have been removed, are produced. It means that seasonally adjusted time series provide an estimate for what is “new” in the series, for example turning points in trends, business cycle or irregular component.  Moreover seasonal adjustment results in calendar adjusted time series, in which calendar effects or varying number of working days in months has been eliminated. Specifics of seasonally adjusted statistics allows improving data comparability over time:

  • Seasonally adjusted time series do not contain seasonal fluctuations and calendar effects, thus it is possible to compare, for example, data on the current month with the previous month's data.
  • Calendar adjusted time series are not influenced by calendar effects and are used to compare, for example, statistics on current month with the data on corresponding month of the previous year.

The seasonal adjustment is made taking into account seasonal adjustment guidelines developed by the European Statistical System.

 

Software

JDemetra+2.2.3

Seasonal adjustment method

TRAMO/SEATS

Last model revision

For data of January 2023

 

It must be taken into account that in accordance with current seasonal adjustment methodology, when data on the new period are added, the data on previous period are recalculated; therefore information on previous periods in the adjusted time series may change each month.


19. Comment Top

Not applicable.


Related metadata Top


Annexes Top
Seasonal_adj_turnTotal
Seasonal_adj_turnDom
Seasonal_adj_turnNonDom