Indices of hours worked, persons employed and earnings in industry, construction, trade and services sector are calculated in line with the regulations of the Parliament and of the Council regarding short-term statistics as well as for national needs. Comparison with the base period allows characterising changes in the indicators during the reference period.

Definitions

An index showing changes in the total number of hours actually worked. The number of hours worked does not include hours paid, but not worked, e.g., holidays and sickness, personal holidays, idle time;breaks for rest and meals provided for in the regulatory enactments; time spent on the way to and from work; training of apprenticeships. Quarterly index of hours worked is calculated based on the average number of hours worked in 2010.

An index showing the total number of persons employed (all salaried full-time and part-time employees, excluding employees on child care leave, as well as enterprise owners and family members thereof working on enterprise). Quarterly index of persons employed is calculated based on the average number of persons employed in 2010.

An index showing changes in the total earnings (wages and salaries in cash and in kind). Gross wages and salaries include basic wage and salary (monthly wage, post wage), remuneration for time worked or the amount of work done, regular and irregular additional payments and bonuses, payment for the annual and supplementary vacations, additional payment for vacation, holiday allowances, compensation for the vacation not used, sick pay (sick-leave certificate A), payment for public holidays and other days not worked social security compulsory contributions paid by employees, and personal income tax, as well as labour remuneration subsidies and payments in kind (goods and services produced or provided by employer given or provided to employee; expenditure on housing or residential area for employees; costs on use of motor vehicles for personal needs of employees; full or partial coverage of the expenditure on catering of employees; partial payment of mobile communication bills (phone used for both work and private needs). Quarterly index of gross wages and salaries is calculated based on the average wages and salaries in 2010.

Data availability

Dissemination format and release calendar

The data are published in the day 90 after the end of the reference period.

Classifications

Data are compiled and published in line with:

  • Statistical Classification of Economic Activities in the European Community (NACE) Rev. 2;
  • Classification of Main Industrial Groupings (MIG 2009)

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 includes are all statistical units economically active in 2017 – state and local government merchants (except for those belonging to the general government sector), private commercial companies, individual merchants, peasant and fishermen farms employing 50 persons and more the economic activity whereof in line with the NACE Rev. 2 starts with 5–63.

The target population of the survey does not include:

  • religious organisations;
  • rural handicraft enterprises;
  • family businesses;
  • individuals performing economic activity.

Target population does not include also statistical units the economic activity code in line with NACE Rev. 2 classification whereof starts with 97 or 98.

Target population of questionnaire 2-labour

Number of employees

1–6

7–9

10–49

50+

State and local government budgetary institutions

full-scope survey

State and local government merchants

full-scope survey

Private commercial companies

imputed

sample survey

full-scope survey

Individual merchants

imputed

sample survey

full-scope survey

Peasant and fishermen farms

not surveyed

full-scope survey

Foundations, associations, funds

State and local government foundations (SVTK* code starts with 1 or 2)

full-scope survey

other
(SVTK* code does not start with 1 or 2)

imputed

sample survey

full-scope survey

* SVTK – CSB Typological Classifier of Statistical Units.

Data onIndustry are collected on economically active enterprises the economic activity whereof in line with the NACE Rev. 2 are classified under:
B (Mining and quarrying);
C (Manufacturing);
D (Electricity, gas, steam and air conditioning supply);
E (Water supply, sewerage, waste management and remediation activities), which includes only Division 36 (Water collection, treatment and supply).

In line with the Regulation on short-term statistics, the data are published also by main industrial grouping:
B_TO_E36 – Total industry (B, C, D and E36);
B_C – mining and manufacturing (B and C);
B_C_X_MIG_NRG – mining and manufacturing; industry (08, 09 and C excluding C19);
MIG1 – intermediate goods;

MIG2 – energy;
MIG3 – capital goods;
MIG4 – durable consumer goods;
MIG5 – non-durable consumer goods;
MIG6 – consumer goods, except for food, beverages and tobacco products.

Data onConstruction are collected on economically active enterprises the economic activity whereof in line with the NACE Rev. 2is classified under Section F (Division 41–43).

Data onTrade are collected on economically active enterprises the economic activity whereof in line with the NACE Rev. 2 is classified under Section G (Division 45–47 and Division 47 excluding Group 473).

Data onServices are collected on economically active enterprises the economic activity whereof in line with the NACE Rev. 2 is classified under Sections:

H (Transportation and storage);
I (Accommodation and food service activities);
J (Information and communication);
M_STS (69, 702, 71, 73, 74 (Professional, scientific and technical activities based on Regulation on short-term statistics));
N_STS (78, 79, 80, 812, 82 (Administrative and support service activities based on Regulation on short-term statistics)).

Sample size

In 2017, more than 7 thousand respondents are surveyed each quarter.

Budgetary institutions, businesses with government or local government participation of 5 0% and more and all businesses of the private sector with 50 or more employees are surveyed completely. Other statistical units are surveyed with the help of simple stratified sample, conducted in strata formed prior based on the economic activity and enterprise size (number of employees).

Target population

Sample size

Frame

%

State and local government budgetary institutions

992

992

100

State and local government merchants

457

457

100

Private commercial companies

5 830

14 677

40

Individual merchants

27

120

23

Peasant and fishermen farms

7

7

100

Foundations, associations, funds

179

397

45

Total

7 492

16 650

45

Sample, regardless all other pre-conditions, includes 1115 general government sector enterprises (institutional sector classification code starts with S13).

All respondents included in sample of the survey 2-ES-annex “Annex to Survey on Labour by Sector” and used to compile indicators on industry and construction by kind of activity unit fill in the report 2-ES “Survey on Labour”. At the beginning of 2017, sample of the survey 2-ES-annex consisted of 261 respondents. The data are provided by respondents having several economic activities at least one whereof in line with the NACE Rev. 2 is classified under Section B, C, D, E (36) or F and employing at least 10 persons, but in total having at least 50 employees in the enterprise.

Statistical processing

Calculation methods

Information was obtained from the statistical surveys every quarter in breakdown by month. The information acquired from respondents included in the sample is extrapolated by using weight given to each sample unit. The report indicators multiplied by the weights at first are summed at class (4-digit), group (3-digit), division (2-digit) and section (letter) level in compliance with the NACE Rev. 2.

Every quarter, data summaries are analysed to estimate credibility of imputations of non-responding units or units not surveyed directly and data acquired by using the weights. The summary indicators are compared with those on the previous periods and information in administrative sources.

Number of employees, hours worked and wage and salary size in industry, construction, trade and services is recalculated at constant units with the help of respective indices. For more detailed analysis of the data, the number of employees, hours worked and wages and salaries indices are compared.

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

Base period

The base year used for index calculation is 2010.

Data revision

Data showing the situation at the beginning of the year are revised each quarter when new economically active enterprises are added to the number of statistical units to be surveyed, kinds and sectors of economic activities of enterprises are specified, additional or revised information from respondents or updated information from administrative sources is received.

Upon seasonal adjustment, the whole time series may be revised.

Comparability

Comparability over time

Data on the indices of persons employed in industry, construction, trade and services are available since 2000.

Data on the indices of hours worked and earnings in industry and construction are available since 2000.

Data on the indices of hours worked and earnings in trade and services are available since 2005.

International comparability

Eurostat

Eurostat (Statistical Office of the European Union) compiles and on the own website publishes indices of persons employed, hours worked and earnings in industry, construction, trade and services in the EU as a whole and in each country separately.

The indices of persons employed, hours worked and earnings in industry are available here.

The indices of persons employed, hours worked and earnings in construction are available here.

The indices of persons employed, hours worked and earnings in trade are available here.

The indices of persons employed, hours worked and earnings in services sector are available here.

 

http://ec.europa.eu/eurostat/data/database

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

Contact person on methodology

Name

Surname

Phone number

Position

E-mail

Lija

Luste

+37167366917

Section Head

Lija [dot] Luste [at] csb [dot] gov [dot] lv

Last update

04.07.2017

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