Data on turnover and turnover indices of retail trade are used in the evaluation of development of sectors.


Index is a numeral indicator, which indicates consecutive changes of some social or economic phenomenon as percent.

It is comparison indicator of one phenomenon in two stages.

Retail trade is the resale of new and used goods (sale without transformation), mainly to the general public for personal or household consumption or utilization, carried out at stores, kiosks, trading places, markets, stands, etc., as well as retail trade carried out by enterprises taking mail-orders, street vendors and peddlers, consumer co-operatives, auction houses, etc. Retail trade also includes retail trade of automotive fuel in filling stations.

Retail trade enterprise is an enterprise main activity of which is retail trade. 

Turnover is income from sale of goods and provision of services, from which trade discounts are subtracted, as well as value added tax (VAT) and other taxes, which are directly related with sale.

Turnover index is an indicator which shows turnover changes during a reference period, in comparison with base period. It is expressed as per cent.

Turnover index in current and constant prices shows the turnover changes in relevant period, when the turnover is at prices of the relevant period. This indicator shows changes, when the turnover of each period is taken in prices of reference period.

Turnover index at constant prices shows the turnover changes in relevant period, when the turnover is recalculated in the prices of base period. As basic prices average prices of 2010 are used. Consumer price index for the relevant commodity or service group is used as deflator. This indicator shows turnover changes, if the prices stayed remained stable in reference time period.

Turnover index against previous period (month/quarter) characterizes the turnover changes within the corresponding period (month/ quarter). This indicator is essentially influenced by the factors of seasonal and calendar character. As very characteristic example the rapid increase of retail sale turnover in December can be mentioned, which is related to Christmas and New Year celebrations.

Turnover index against corresponding period of previous year shows the turnover changes within 12 months or 4 quarters. For example, turnover changes of January 2016 against January 2015 show the turnover changes in January 2016 in comparison with corresponding period a year before. This indicator is used for the calculation of Gross Domestic Product in macroeconomic analysis.

Turnover index over average monthly (quarterly) turnover of 2010 shows changes of turnover of relevant period (monthly/quarterly) compared to average (monthly/quarterly) turnover of 2010.

Data availability

Dissemination format and release calendar

Theme Reference period Planned release datesort icon Remarks
Turnover of retail trade
  • May 2018
Turnover of retail trade
  • 2nd quarter 2018
  • June 2018
Turnover of retail trade
  • July 2018
Turnover of retail trade
  • August 2018
Turnover of retail trade
  • 3rd quarter 2018
  • September 2018

Theme Reference period Actual release datesort icon Remarks
Turnover of retail trade
  • April 2018
Turnover of retail trade
  • 1st quarter 2018
  • March 2018
Turnover of retail trade
  • February 2018
Turnover of retail trade
  • January 2018
Turnover of retail trade
  • 2017

Monthly and quarterly data on retail trade are published on 30th day after the end of the reference period. Trade and Servicesmonthly/quarterly data»

Annual data on turnover and turnover indices on retail trade are published on 70th day after data on 4th quarter were published. Trade and Servicesannual data»

News releases

Date Title
29.06.2018 Retail trade in May 2018
30.07.2018 Retail trade in June 2018
30.08.2018 Retail trade in July 2018
28.09.2018 Retail trade in August 2018


Download CSB publications on various time periods (starting from 2007) in section E-publications.

Data on retail trade are available in statistical yearbooks and monthly bulletins. Statistical yearbooks and monthly bulletins are available in E-publication section under topic "General statistics".

Theme Title Release datesort icon ZIP/PDF
Turnover of retail trade Retail trade turnover 2016/03 (only in Latvian) 14.12.2016
Turnover of retail trade Retail trade turnover 2016/02 (only in Latvian) 06.09.2016
Turnover of retail trade Retail trade turnover 2016/01 (only in Latvian) 02.06.2016
Turnover of retail trade Retail trade turnover 2015/04 (only in Latvian) 07.03.2016
Turnover of retail trade Retail trade turnover 2015/03 (only in Latvian) 10.12.2015
Turnover of retail trade Retail trade turnover 2015/02 (only in Latvian) 03.09.2015
Turnover of retail trade Retail trade turnover 2015/01 (only in Latvian) 08.06.2015
Turnover of retail trade Retail trade turnover 2014/04 (only in Latvian) 05.03.2015
Turnover of retail trade Retail trade turnover 2014/03 (only in Latvian) 10.12.2014
Turnover of retail trade Retail trade turnover 2014/02 (only in Latvian) 03.09.2014
Turnover of retail trade Retail trade turnover 2014/01 (only in Latvian) 03.06.2014
Turnover of retail trade Retail trade turnover 2013/04 (only in Latvian) 05.03.2014
Turnover of retail trade Retail trade turnover 2013/03 (only in Latvian) 15.11.2013
Turnover of retail trade Retail trade turnover 2013/02 (only in Latvian) 16.08.2013
Turnover of retail trade Retail trade turnover 2013/01 (only in Latvian) 27.05.2013


Data are collected and published in compliance with Statistical Classification of Economic Activities in the European Community (NACE Rev. 2).

A Classification Catalogue with classification codes and their explanations has been published on the CSB website.

Customised data sets

If you would like to obtain statistical data that are not available in publications or in the CSB online data base, please send us an information request:
 - postal mail: 1 Lāčplēša Street, Riga, Latvia, LV-1301;
 - e-mail: info [at] csb [dot] gov [dot] lv;
 - visiting Information centre.

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Data collection

Survey method and data source

Data are obtained conducting a sample size survey. Information is collected from:

  • CSB statistical report form 1-turnover "Survey on turnover";
  • For data imputation information from Value Added Tax declaration collected from State Revenue Service are used.

Target population

Target population is all economically active enterprises main activity of which is retail trade (NACE Rev. 2. division 47 "Retail trade, except of motor vehicles and motorcycles").

Sample size

Enterprises for the survey are selected using the simple stratified random sampling.

Enterprises are stratified by the kind of activity according to Statistical Classification of Economic Activities in the European Community (NACE Rev. 2) and turnover. The larger the enterprise’s turnover, the larger the possibility for the enterprise to be included into the sample.

The selection is developed as independent selection from other enterprise survey selections.

Year Sample size
2016 1 252
2015 1 265
2014 1 765
2013 1 724
2012 1 725
2011 1 754
2010 1 729
2009 1 570

Statistical processing

Calculation methods

Data with mathematic methods are extrapolated and results acquired characterise whole country. Turnover indicators of selected sectors with consumer price index are recalculated at current prices (average prices of 2010). Afterwards turnover index is calculated. Indices are calculated as non-adjusted, seasonally adjusted and calendar adjusted data.

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.



Seasonal adjustment method


Last model revision

For data of January 2017

Base period


Data revision

Data are revised due to provisional information update, update of kind of activity of enterprise, seasonal adjustment and methodological changes. Revision is carried out in the next publishing period. Non-adjusted data are revised for previous two months, but seasonally and calendar adjusted data – in all previously published data row.


Comparability over time

Data are comparable since 2000.

International comparability


The Statistical Office of the European Union (Eurostat) publishes on its homepage information on indices of retail trade for EU-28 and separately for each country. You can find them in the section: Statistics/ Industry, trade and services/ Short-term business statistics/ Database/ Trade and services.


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

Contact person on methodology



Phone number






Head of the Section

ieva [dot] vanaga [at] csb [dot] gov [dot] lv

Last update


Turnover indices of service enterprises

Turnover indices of wholesale enterprises

Explanation of symbols


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Data not released for confidentiality reasons

If data are absolute numbers


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