Data on turnover indices of wholesale enterprises are used for analysis of wholesale sector development.

Definition

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.

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.

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. 

Turnover index against previous period (month or quarter) characterizes the turnover changes within the corresponding period. This indicator is essentially influenced by the factors of seasonal and calendar character. As very characteristic example rapid increase of enterprise turnover in wholesale of seeds during spring and in purchase of seeds – during autumn can be mentioned.

Turnover index over the corresponding period of previous year shows turnover changes in the framework of 4 quarters. For example, changes in turnover of 2nd quarter of 2015 over 2nd quarter of 2014. 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.

According to NACE Rev. 2 wholesale trade is further sale of new and used goods (selling without transformation) to retailers or other wholesalers, professional users, other enterprises and institutions. Activity of wholesale trade intermediaries, agents or brokers in sale of goods is also included.

Data availability

Dissemination format and release calendar

Theme Reference period Planned release datesort icon Remarks
Wholesale enterprise turnover indices
  • September 2017
30.11.2017
Wholesale enterprise turnover indices
  • October 2017
02.01.2018

Monthly and quartely data on turnover indices of wholesale enterprises are published at 60th day after the end of reference period. Trade and Servicesmonthly/quarterly data»

Classifications

Data are collected and published using 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.

Read more

Data collection

Survey method and data source 

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

  • CSB mounthly statistical report 4-turnover "Report on turnover";
  • For data imputation Value Added Tax declaration data submitted to S tate Revenue Service are used.

Target population

Enterprises and farms which are economically active during the reference year and main economic activity of which is wholesale trade according to Division 46 of NACE Rev. 2.

Sample size

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

Enterprises are stratified by main kind of economic activity according to Statistical Classification of Economic Activities in the European Community (NACE Rev. 2) and turnover. The higher the annual turnover, the higher the possibility for this enterprise to be included in the sample.

The sample is generated as sample independent from other enterprise survey samples.

Year Sample size
2016 729
2015 623
2014 1021
2013 983
2012 1 002
2011 1 342
2010 1 297
2009 1 260

Statistical processing

Calculation methods

Using mathematic methods data are extrapolated and results acquired characterise whole country. Turnover 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.

Software

JDemetra+

Seasonal adjustment method

TRAMO/SEATS

Last model revision

For data of 1st quarter of 2017

Base period

For quarterly data of turnover indices of wholesale enterprises base year is 2010.

Data revision

Data may be revised in the next publishing period. All reference year quarters may be revised, in case of essential changes data of previous years’ months and quarters are also changed. Main reasons for revision can be update of provisional data, update of the kind of activity of enterprises or methodological changes.

Comparability

Comparability over time

Quartely data are comparable since 2000.

Monthly data are comparable since 2015.

International comparability

Eurostat

Information on turnover indices of wholesale enterprises in EU-28 and in each country separately is available in the homepage of Statistical Office of the European Union (Eurostat) in section:
Statistics/ Browse/Search database/ Industry, trade and services/ Short-term business statistics/ Trade and services.

http://epp.eurostat.ec.europa.eu

Confidentiality

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

Conatct person on methodology

Name

Surname

Phone number

Position

E-mail

Ieva

Vanaga

+371 67366738

Head of the Section

Ieva [dot] Vanaga [at] csb [dot] gov [dot] lv

Last update

30.03.2016

Turnover and turnover indices of retail trade

Turnover indices of service enterprises

Explanation of symbols

-

Magnitude zero

0

Less than half of the unit employed

...

Data not available or too uncertain for presentation

X

Figure not applicable because column heading and stub line make entry impossible, absurd or meaningless

.

Data not released for confidentiality reasons

If data are absolute numbers

0

Magnitude zero