Foreign trade data provide composite information on cross-country trade in breakdown by type of commodities (divisions) and by country group. Foreign trade data are used for identifying country’s trade partners and principle exports and imports.

Definitions

Commonwealth of Independent States: Armenia, Azerbaijan, Belarus, Georgia (since September 2009 no longer belongs to the CIS), Kazakhstan, Kyrgyzstan, Moldova, Russia, Tajikistan, Turkmenistan (associate member), Ukraine (associate member), Uzbekistan.

EU-15 – 15 member states of European Union: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, Netherlands, Portugal, Spain, Sweden, the United Kingdom.

EU-25 – EU-15 and Czech Republic, Cyprus, Estonia, Hungary, Malta, Latvia, Lithuania, Poland, Slovakia, Slovenia after EU enlargement on 1 May 2004.

EU-27 – EU-25 and Romania and Bulgaria after EU enlargement on 1 January 2007.

EU-28 – EU-27 and Croatia after enlargement of the EU on 1 July 2013.

Euro area-18: Austria, Belgium, Cyprus, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, Malta, Netherlands, Portugal, Slovakia, Slovenia, Spain and from 1 January 2014 Latvia.

Euro area-19: Austria, Belgium, Cyprus, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, Malta, Netherlands, Portugal, Slovakia, Slovenia, Spain, Latvia and from 1 January 2015 Lithuania.

Third countries are countries that are not members of the European Union.

Merchandise exports are shown in current FOB values (price of commodity including transportation and insurance costs up to the border of the exporting country), according to the special trade system (without commodity flows from customs warehouses and free economic zones) and indicating the country of ultimate destination.

Data are compiled in compliance with so-called National principle, which unlike so-called Community principle does not include information on exports of goods, which certain EU Member State sells in certain third country (which is not EU member state) through Latvia, but starting from 2008 it does not include also data on commodity dispatches to certain EU Member State, which through Latvia imports goods from other third country, although in all mentioned cases customs declarations are lodged in Latvia.

Total volume of foreign trade exports includes the following flows of goods:

  • goods which were exported for sale abroad,
  • goods which were exported for processing abroad, undertaking liabilities regarding re-importation,
  • imported goods which were exported abroad after processing,
  • reexports, i.e. goods imported to Latvia for consumption which were exported back abroad.

Merchandise imports are shown in current CIF values (price of commodity including transportation and insurance costs up to the border of the importing country) according to the special trade system (without commodity flows to customs warehouses and free economic zones); in imports from the third countries indicating the last known country of origin (if it is not known, the country of consignment). From 2004 the arrival of goods from EU Member States is classified to the indicated country of consignment.

Data are compiled in compliance with so-called National principle, which unlike so-called Community principle does not include information on imports of goods, which certain EU Member State carries out in certain third country (which is not EU Member State) through Latvia, but starting from 2008 it does not include also data on commodity arrivals from certain EU Member State, which through Latvia exports goods to other third country, although in all mentioned cases customs declarations are lodged in Latvia.

Total volume of foreign trade imports includes the following flows of goods:

  • goods which are declared for consumption in Latvia,
  • goods which are imported for processing, undertaking liabilities regarding re-exportation,
  • exported goods which were imported after processing abroad.

Dissemination Format and Release Calendar

Advance Release Calendar

Theme Reference period Planned release datesort icon Remarks
Foreign Trade
  • October 2017
11.12.2017
Foreign Trade
  • November 2017
09.01.2018
Foreign Trade
  • December 2017
09.02.2018
Foreign Trade
  • January 2018
12.03.2018

Theme Reference period Actual release datesort icon Remarks
Foreign Trade
  • September 2017
09.11.2017
Foreign Trade
  • August 2017
10.10.2017
Foreign Trade
  • July 2017
11.09.2017
Foreign Trade
  • June 2017
09.08.2017
Foreign Trade
  • May 2017
11.07.2017

News Releases


Date Title
11.12.2017 Foreign trade of Latvia in October 2017
09.01.2018 Foreign trade of Latvia in November 2017
09.02.2018 Foreign trade of Latvia in December 2017
12.03.2018 Foreign trade of Latvia in January 2018

Publications

Download CSB publications on various time periods (starting from 2007) in section E-publications and subscribe for paper publications in section Publications.

Data on foreign trade are published in the monthly bulletins and statistical yearbooks. Publications are available in E-publications section under topic "General Statistics"

Theme Title Release datesort icon ZIP/PDF
Foreign Trade Foreign trade of Latvia: Main commodities and trade partners 2016/04 (only in Latvian) 27.02.2017
Foreign Trade Foreign trade of Latvia: Main commodities and trade partners 2016/03 (only in Latvian) 25.11.2016
Foreign Trade Foreign trade of Latvia: Main commodities and trade partners 2016/02 (only in Latvian) 29.08.2016
Foreign Trade Foreign trade of Latvia: Main commodities and trade partners (only in Latvian) 20.05.2016
Foreign Trade Foreign trade of Latvia: Main commodities and trade partners 2015/04 (only in Latvian) 29.02.2016
Foreign Trade Foreign trade of Latvia: Main commodities and trade partners 2015/03 (only in Latvian) 27.11.2015
Foreign Trade Foreign trade of Latvia: Main commodities and trade partners 2015/02 (only in Latvian) 31.08.2015
Foreign Trade Foreign trade of Latvia: Main commodities and trade partners 2015/01 (only in Latvian) 29.05.2015
Foreign Trade Foreign trade of Latvia: main commodoties and partners 2014/04 (only in Latvian) 27.02.2015
Foreign Trade Foreign trade of Latvia: main commodoties and partners 2014/03 (only in Latvian) 24.11.2014
Foreign Trade Foreign trade of Latvia: main commodoties and partners 2014/02 (only in Latvian) 25.08.2014
Foreign Trade Foreign trade of Latvia: main commodoties and partners 2014/01 (only in Latvian) 19.05.2014
Foreign Trade Foreign Trade of Latvia: main commodoties and partners 2013/04 (only in Latvian) 20.02.2014
Foreign Trade Foreign Trade of Latvia: main commodoties and partners 2013/03 (only in Latvian) 21.11.2013
Foreign Trade Foreign Trade of Latvia: main commodoties and partners 2013/02 (only in Latvian) 19.08.2013

Classifications

The following classifications are applied for foreign trade data:

  • EU Combined Nomenclature;
  • Customs authorities classification;
  • Customs regime classification;
  • Classification of the mode of transport (customs records);
  • Classification of the nature of transactions;
  • Nomenclature of countries and territories for the external trade statistics of the Community and statistics of trade between Member States.

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

Customised Datasets

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 Source Data

To acquired foreign trade data enterprise survey is conducted:

  1. full-scope survey on trade with third countries;
  2. sample survey on trade with EU member states by a certain parameter, calculations, creating a threshold sample.

Foreign trade source data are:

  • CSB INTRASTAT monthly surveys from enterprises in trade with EU countries – INTRASTAT-1A, INSTRASTAT-1B, INSTRASTAT- 2A, INSTRASTAT-2B;
  • State Joint Stock Company Latvian Maritime Administration data of the integrated Ship Database of Latvia on:
    • Ships and yachts registered and deleted from the Latvian Ship Register;
    • Registered owners and charterers;
    • Main data of ships and yachts, registered and cleared legal burden. This information is used for collecting and analysing data on ships, which in line with Article 17 of Chapter 5 of Commission Regulation (EC) No 1982/ 2004 of 18 November 2004 are considered as special commodities for the transportation of which special regulations are applied.
  • Civil Aviation Agency data on aircrafts (date of registration/ deletion, type, serial number, manufacturer, year of manufacture, name of operator and contact details), registered and deleted from the Register of Aircrafts of the Civil Aviation Aircraft Register of the Republic of Latvia in the event the operators which are also owners or financial lease holders are legal persons. This information is used for collection and analysis of data on aircrafts which in line with Article 17 of Chapter 5 of Commission Regulation (EC) No 1982/2004 of 18 November 2004 are considered as special commodities, for the transportation of which special regulations are applied;
  • Data of the Single Administrative Document of the State Revenue Service Customs Board. This information is used for elaborating on overview of trade with third countries, as well as for supplementing Intrastat data with transactions in trade with EU Member States, carried out under customs control (IntraMuita);
  • State Revenue Service data storage system. It contains information on acquisitions/deliveries of goods from/to the EU countries from VAT declaration (row 45, 46, 47, 481, 50 and 51), as well as from Supplement 1 Part II to VAT declaration, Supplement 2 and Supplement 3

Statistical Population

Payers of Value Added Tax (VAT) of EU Member States delivering/acquisiting commodities or representatives of these persons in tax issues and:

  1. persons delivering/acquisiting commodities to/from EU Member States and having concluded an agreement, except transportation agreement, in line with which the commodities are delivered/acquisited,
  2. persons delivering/acquisiting commodities to/from EU Member States or have them delivered/acquisited,
  3. persons having commodities to be delivered/acquisited to/from EU Member States in tenure.

Sample size

Sample for 2017 has been formed and optimised on the basis of exemption thresholds and specific thresholds set by the CSB. Exemption thresholds and specific thresholds are set separately for arrived and dispatched commodities so that the data acquired by the means of INTRASTAT surveys would cover at least 93% of the imports and 97% of the exports of the total trade volume between Latvia and EU member states.

CSB thresholds in 2017

 

Dispatches, EUR

Arrivals, EUR

Exemption threshold

100 000

(report INTRASTAT-2A)

180 000

(report INSTRASTAT-1A)

Specific threshold

4 000 000

(report INTRASTAT-2B)

2 500 000

(report INTRASTAT-1B)

Enterprises, which have exceeded the specific threshold set by the CSB, must submit type B reports. In its turn, the sample frame is formed on the basis of the SRS VAT declaration information from SRS data storage system. The sample frame provides information on VAT payers’ arrivals and dispatches of commodities in Latvia from/to EU countries in terms of value in breakdown by reporting month.

Sample size by type of reports (number of providers of statistical information)

Report

Sample size at the beginning of the year

2010

2011

2012

2013

2014

2015

2016

2017

Intrastat-1A

3 243

3 571

3 384

3 814

4 070

3 882

3 251

3 801

Intrastat-1B

535

551

534

533

587

535

552

574

Intrastat-2A

1 825

2 065

 1 957

2 161

2 344

2 682

2 336

3 016

Intrastat-2B

307

353

286

298

278

248

300

319

 

Statistical Processing

Calculation Method

A foreign trade data analysis is performed on multiple levels. Mainly historical data are compared by commodity group and partner country. Analysing the trend, conclusions can be drawn on increase/ decrease of imports/ exports of set commodities or for the main trade partners.

Each month prior to publishing, data are verified on the Combined Nomenclature (CN) level of section and division (CN2). Here data are compared with previous periods in order to test if a non-submitted report could serve as the reason for increase or decrease of imports/exports.

In such situations previous work with the respondents having determining or important trade volume in their field of operation is of great importance as lack of their response would have a significant effect on data quality.

Estimations (in value terms) of the missing Intrastat data for non-responded enterprises and enterprises not subjected to the Intrastat reporting due the small trade volume are made by partner countries and at the CN chapters level (CN2). In order to reflect the estimations not broken down at more detailed CN level, the conventional codes corresponding to the CN chapters are used in the CSB database: 0100, 0200, etc. at the CN4 level and 01000000, 02000000, etc. at the CN8 level.

Data Revision

Previous data are corrected each month.

Foreign trade data are subject to revision plan, which foresees two mandatory data revisions. The first data revision takes place strictly by schedule – after 3 months together with publishing data for the current month. Schedule for the second revision is flexible depending on the volume of the collected data, but no later than in August of the following reporting year. For example, the last scheduled revisions for 2016 data can be published no later than in August 2017. After the end of this term, data can be revised in emergency cases only, when the scope of changes can significantly affect the total volume and structure of foreign trade data.

Unscheduled data revisions can be organised if significant corrections are implemented to monthly data of any month in the reporting period (till August of the following year). It can be explained with the fact that next to data validations which are subject of the revision cycle, there exist also other means of data verification (for example, comparison of Intrastat and SRSVAT declaration data). Besides, the CSB continues work with respondents who have not responded and submitted reports in due time. These additional data can have a significant influence on the total foreign trade data. Unscheduled revisions are organised to receive adequate and high quality data in the shortest possible period of time before the next scheduled revision. Data received by the means of unscheduled revisions are disseminated publishing the data for the current month.

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 January 2017

Comparability

Comparability over time

Foreign trade data are available since 1993.
Comparable data owing to implementation of the INTRASTAT system are available since 2004.

International Comparability

Eurostat

The Statistical Office of the European Union (Eurostat) on its homepage publishes information on foreign trade (short-term, annual) in EU-28 and in each individual country. This information can be found in the section Statistics/International trade.

Confidentiality

In foreign trade statistics the passive principle of confidentiality is observed. It means that only in the event the persons submitting information request that the information is not disclosed, the responsible public authorities decide, whether statistical results which make it possible indirectly to identify the said provider(s) are to be disseminated or are to be amended in such a way that their dissemination does not prejudice statistical confidentiality (Regulation of the European Parliament and of the Council (EC) No 222/1009 Article 11).

Contact person on methodology

Name Surname Phone number Position E-mail
Lilita Laganovska 67366604 Senior Officer Lilita [dot] Laganovska [at] csb [dot] gov [dot] lv

Last update

16.08.2017

Export / import unit value index

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