The index characterizes changes in the number of new buildings with construction works started.


The index shows changes in the number of new buildings with construction works started, comparing the reference period with the base period. It is assumed that the construction work is commenced as soon as the building permit is awarded with a mark on fulfilment of commencement conditions.

Data availability

Dissemination format and Release calendar

News releases


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

Data on construction are available also in statistical yearbooks. Statistical yearbooks are available in E-publication section under topic "General statistics".

Theme Title Release datesort icon ZIP/PDF
Construction Construction in Latvia 2018/01 (in Latvian) 01.03.2018
Construction Construction 2016/04 (only in latvian) 23.11.2016
Construction Construction 2016/03 (only in Latvian) 24.08.2016
Construction Construction 2016/02 (only in Latvian) 25.05.2016
Construction Construction 2016/02 (only in Latvian) 25.05.2016
Construction Construction 2016/01 (only in Latvian) 25.02.2016
Construction Construction 2015/04 (only in Latvian) 30.11.2015
Construction Construction 2015/03 (only in Latvian) 24.08.2015
Construction Construction 2015/02 (only in Latvian) 27.05.2015
Construction Construction 2015/01 (only in Latvian) 24.02.2015
Construction Construction 2014/04 (only in Latvian) 24.11.2014
Construction Construction 2014/03 (only in Latvian) 20.08.2014
Construction Construction 2014/02 (only in Latvian) 21.05.2014
Construction Construction 2014/01 (only in Latvian) 20.02.2014
Construction Construction 2013/04 (only in Latvian) 25.11.2013


Data are collected and published in line with:

  • Regulations of the Cabinet No 1620 “Regulations on Classification of Buildings” of 22 December 2009.

The data are collected and compiled on the following types of construction:

  • Residential buildings
    • one-dwelling buildings (excluding summer cottages and garden-houses);
    • summer cottages and garden-houses;
    • two- and more dwelling buildings;
    • residences for communities;
  • Non-residential buildings
    • hotels and similar buildings;
    • office buildings;
    • wholesale and retail trade buildings;
    • traffic and communication buildings;
    • industrial buildings and warehouses;
    • public entertainment, education, hospital or institutional care buildings;
    • other non-residential buildings.

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

The data on building permits granted (including new buildings) are collected from CSB Report on Building Permits Granted, New Construction and Commissioning of Buildings (questionnaire 1-BA) and Construction Information System. The deadline for submission of the form1-Ba is 15th date after the end of the reference period.

Target population

The survey covers cities under state jurisdiction and counties: 110 local governments of counties and 9 councils of cities under state jurisdiction. The data on 2017 by using questionnaire 1-BA are collected from 91 local governments, information on other local governments is acquired from Construction Information System.

Sample size

Within the full-scope survey data are acquired from 110 local governments of counties and 9 councils of cities under state jurisdiction.

Statistical processing

Calculation methods

The data are compiled in breakdown by the type of construction every quarter. The index for the number of new buildings with work started is a fixed base index. Average number of building permits granted quarterly to new buildings in 2010 is used as the basis for comparison.

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 the 3rd quarter of 2017

Base period

Base or comparison period used for the index is 2010 = 100.

Data revision

The data are revised in case it is necessary to add revised or more detailed information on some of the previous periods or due to the changes in methodology or classifications. Revision of annual data is not made.


Comparability over time

Data are available since 2003.

International comparability


The Organisation for Economic Co-Operation and Development (OECD) compiles and publishes data on the work started on its website. Data are available in section Industry and Services, sub-section Production and Sales (MEI), indicator “Work started”.


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

Quality reports

Quality reports are prepared in accordance with the EU requirements in specific statistical domain.

Quality reports provide detailed information on the data life cycle and data quality. The format and content may differ.

Contact person on methodology

Name Surname Phone number Position E-mail
Sandra Vītola 67366739 Senior Officer Sandra [dot] Vitola [at] csb [dot] gov [dot] lv

Last update


Construction output

Constuction volume index

New residential buildings and dwellings completed

Explanation of symbols


Magnitude zero


Less than half of the unit employed


Data not available or too uncertain for presentation


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


Magnitude zero