Short Term Statistics

Short Term Statistics for Producer Goods give information on a wide range of economic activities of enterprises, selected by the Statistical Business Register and classified according to the nomenclature NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community) by enterprises that operate in our country.

INSTAT collect, process and provide the short terms statistical information conform European regulation for short term statistics, No. 2019/2152 of 27 November 2019 and regulation No. 2020/1197 of 30 July 2020.

The main variables request are Turnover, Industrial Production, Construction Volume, Number of persons employed, Gross wages and Salaries.

All indicators produced are expressed in index, annual and quarterly changes.

Data on STS Producer Goods are based on: Quarterly statistical surveys

Quality report
Next publishing
Short Term Statistics - Producer of Goods, Q4 - 2024

Short Term Statistics for Services give information on a wide range of economic activities of enterprises, selected by the Statistical Business Register and classified according to the nomenclature NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community) by enterprises that operate in our country.

INSTAT collect, process and provide the short terms statistical information conform European regulation for short term statistics, No. 2019/2152 of 27 November 2019 and regulation No. 2020/1197 of 30 July 2020.

Short term statistics for Services cover activities; Trade and Other services.

The main variables request are Turnover, Number of persons employed, Gross wages and Salaries.

All indicators produced are expressed in index, annual and quarterly changes.

Data on STS for Services are based on:  Quarterly statistical survey

Next publishing
Short Term Statistics - Services, Q4 - 2024

Calendar

DateStatisticsPeriod
18-03-2025 Short Term StatisticsQ4 - 2024
16-06-2025 Short Term Statistics Q1 - 2025
16-09-2025 Short Term Statistics - Producer of goodsQ2 - 2025
16-09-2025 Short Term Statistics - ServicesQ2 - 2025
26-09-2025 Publication Statistics on Industrial Products2024
16-12-2025 Short Term StatisticsQ3 - 2025
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Information

In the wake of its efforts to standardizing and approaching the short term statistics to the standards of EU statistics, the publication of Short Term Statistics - Services has passed through some methodological issues such as:

  • Indices on Short term statistics Services from first quarter 2024 will be calculated with base year 2021=100.
  • Weights are calculated based on the results of the Structural Survey of Enterprises carried out by INSTAT, referring to t-2 period.
  • Based on the main activity is also included Food Services activity (Bar-Restaurants).

Services          

 

Purpose -The short term statistics shows the trend of economic development of a country in quarterly periods. By which the police makers can develop a short term plan for the further development of the country. The development of the main indicators such as; industrial production turnover. number of employees and wages in time series are described by this publication.

Coverage - based on main economic activity the main activities covered in the STS survey for services is as following:

  • Total sale and repair of motor vehicles (45) and Wholesale (46)
  • Transportation and Storage (is included and the Postal and courier activities) (49-53)
  • Accommodation and Food Services: Hotels (55.1) and Bar-Restaurants (56)
  • Information and Communication (58. 61. 62)
  • Architectural and Engineering activities (71)
  • Administrative Services and ancillary activities – Travel Agencies (79)

Model and data collection - The enterprises are selected from the Statistical Register of Enterprises. The enterprises with 1-9 employees are surveyed by sample survey. Whereas the enterprises with 10 and more employees are surveyed exhaustively. Administrative data sources and data from Quarterly Survey of Short-Term Statistics with face to face interview method are used for the data collection.

Indicators - The indicators are given in Index form. The quarterly changes are given in percentage; whereas the annual changes are given in percentage with reference to the base yearn actually 2021=100. The data do not present absolute values.

Indexes - The indexes show the changes in time of a given variable, or of a group of variables. The Index Volume is calculated through the Laspeyres Formula. In order to avoid the prices impact the indices are deflated with the proper price index by activities. Transport with implicit price index calculated. etc.

The annual and quarterly changes in percentage - The annual change measures in percentage the change of economic indicators of the actual quarter compared with the same quarter of the previous year. The quarterly change in percentage it measures in percentage the change of economic indicators of the actual quarter against compared with the previous quarter of the same year.

Revision - Indexes may be revised due to several reasons: additional information. The methodological changes. or re-evaluation of the used coefficients etc.

Definition of the main indicators

Turnover is the total amount realized by enterprises during the month from the selling of goods. Selling of own products and services excluded VAT.

Number of persons working includes all persons who actually work in the observed unit. There are included owners and co-owners and family members that helps in the activity and employees in the end of the quarter.

Employment index - shows the evolution of employment in observation unit.

Wages and salaries - are defined as the total remunerations. In cash or in kind payable to all persons counted on the payrolls in return for work done during the accounting period.

Index of wages and salaries - the gross wages and salaries index approximates the development of the wages and salaries bill.

Seasonal adjustment

Seasonal adjustment of quarterly time series of producer of materials goods is done by using JDemetra+ 2.2.4 version software. The chosen model for the decomposition of time series is X-12 ARIMA, under specification X-13.

X-12 ARIMA model is totally based in moving average. In all-time series is applied the multiplicative decomposition and the direct approach. During the process of seasonal adjustment are treated even the special case occurred during the time series span. identified by software as outlier.

Information

In the wake of its efforts to standardizing and approaching the short term statistics to the standards of EU statistics, the publication of Short Term Statistics - Producers of Goods has passed through some isuess, such as:

  • Indices on Short term statistics - Producers of Goods from first quarter 2024 will be calculated with base year 2021=100.
  • Weights are calculated based on the results of the Structural Survey of Enterprises carried out by INSTAT, referring to t-2 period.

Information on the observation           

 Purpose – The short term statistics shows the trend of economic development of a country in quarterly periods, by which the police makers can develop a short term plan for the further development of the country. The development of the main indicators such as; industrial production, turnover, number of employees and wages in time series are described by this publication

Coverage- based on main economic activity the main activities covered in the STS survey for producer goods is as following:

  • Industry - composed by Mining and quarrying and Manufacturing industry (05-33)
  • Electricity, Gas, and Steam (35)
  • Water supply; Sewerage; Waste management and Remediation activities (36 - 39)
  • Construction (41. 42. 43)

Model - The enterprises are selected from the Statistical Register of Enterprises. The enterprises with 1-9 employees are surveyed by sample survey, whereas the enterprises with 10 and more employees are surveyed exhaustively.

Data collection - Administrative data sources and data from Quarterly Survey of Short-Term Statistics with face to face interview method are used for the data collection.

Indicators – The indicators are given in Index form the quarterly changes are given in percentage whereas the annual changes are given in percentage with reference to the base year actually 2021=100. The data do not present absolute values.

Indexes – The indexes show the changes in time of a given variable or of a group of variables. The Index Volume is calculated through the Laspeyres Formula. The indices are deflated with the proper price index by activities to avoid the prices impact. Such as the Industry indicator are deflated with Producer Price Index; Construction activity with Construction Cost Index; Hotel activity with Consumer Price Index. Transport with implicit price index calculated, etc.

The annual change in percentage - it measures in percentage the change of economic indicators of the actual quarter compared with the same quarter of the previous year.

The quarterly change in percentage – it measures in percentage the change of economic indicators of the actual quarter against compared with the previous quarter of the same year.

Revision – Indexes may be revised due to several reasons: additional information, the methodological changes or re-evaluation of the used coefficients etc.

Definition of the main indicators

Turnover is the total amount realized by enterprises during the month from the selling of goods, selling of own products and services excluded VAT.

Number of persons working includes all persons who actually work in the observed unit. There are included; owners and co-owners and family members that helps in the activity and employees in the end of the quarter.

Employment index – shows the evolution of employment in observation unit.

Wages and salaries – are defined as the total remunerations in cash or in kind payable to all persons counted on the payrolls, in return for work done during the accounting period.

Index of wages and salaries – the gross wages and salaries index approximates the development of the wages and salaries bill.

Main industrial grouping are a regroup of: Mining and quarrying, Manufacturing and Electricity activities according to NACE Rev.2 as follows:

Total industry

NACE Rev.2

Intermediate goods

·  07-09  Mining of metal ores; Other mining and quarrying; Mining    support service activities

·  13000 Manufacturing of textiles

·  16000 Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials

·  17000 Manufacture of paper and paper products

·  20-21  Manufacturing of  chemical and pharmaceutical products

·  22000 Manufacture of rubber and plastics products

·  23000 Manufacture of other non-metallic mineral products

·  24000 Manufacture of basic metals

·  255XX Forging, pressing, stamping and roll forming of metal; powder

·  27000 Manufacturing of electrical equipment

Energy

·  05-06  Mining of coal and lignite; Extraction of crude petroleum and  natural gas

·  19000 Manufacture of coke and refined petroleum products

·  35000 Electricity, gas, steam and air conditioning supply

Durable consumer goods

·  264XX Manufacture of consumer electronics

·  31000 Manufacture of furniture

·  32XXX Other industries n.e.c

Non-durable consumer goods

·  10000 Manufacture of food products

·  11-12  Manufacture of beverages; Manufacture of tobacco products

·  14000 Manufacture of wearing apparel

·  15000 Manufacture of leather and related products

·  18000 Printing and reproduction of recorded media

·  32YYY Other industries n.e.c

 Seasonal adjustment

Seasonal adjustment of quarterly time series of producer of materials goods is done by using JDemetra+ 2.2.4 version software. The chosen model for the decomposition of time series is X-12 ARIMA, under specification X-13.

X-12 ARIMA model is totally based in moving average. In all-time series is applied the multiplicative decomposition and the direct approach. During the process of seasonal adjustment are treated even the special case occurred during the time series span, identified by software as outlier.