methods, notes and classification Retail sale - monthly data methods, notes and classification

DATA_DESCR The bus serv collection contains harmonised statistics on business services. The statistics on enterprise turnover by product permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on enterprise turnover by client enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. The bus serv collection includes the following variables: number of enterprises turnover or gross premium written number of employees personnel costs value added at factor costs The turnover variable is broken down by product and type and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises.

CLASS_SYSTEM Data are collected under Gentlemen agreement within the context of the development of Structural Business Statistics. Business services statistics are classified according to the NACE Rev.1 classification. The product classification follows the CPA-nomenclature with certain adaptations.á

STAT_CONC_DEF Five characteristics, as defined in the Annex to Commission Regulation (EC) No 2700/98 of 17 December 1998 concerning the definitions of characteristics for structural business statistics, are collected. 11 11 0 number of enterprises 12 11 0 turnover or gross premium written 16 13 0 number of employees 13 31 0 personnel costs 12 15 0 value added at factor costs The data included in the bus serv collection are flow data and they are expressed in value (million Euros) or units. In addition, two indicators are included: product and client specialisation. The product specialisation is defined as a share of the most important product in the total turnover of an enterprise in the following way:a) the most important product is consistent with the main activity of the enterprise andb) the most important product comprises at least 75% of its total net turnover. The client specialisation is defined as a share of the three biggest clients in total turnover: Non-specialised: [0% - 50%)Medium specialised: [50% - 75%)Highly specialised: [75% - 100%]

STAT_UNIT The statistics refer to enterprises.

STAT_POP The statistical population consists of all enterprises classified in the business services i.e. enterprises in the NACE Rev.1 classes (see 3.2 for the classes covered).

REF_AREA Data is available for several Member States and Norway. A summary list of available data for each country based on the reference year of bus serv statistics is given below. Country Year DK 2000, 2001, 2003, 2004 and 2005 DE 2004 EE 2003 IE 2001 EL 2003, 2004 ES 2000, 2001, 2003, 2004 and 2005 FR 1999, 2001 IT 2001 LV 2003, 2004 LU 2000, 2001 and 2003 MT 2004 AT 2001 PL 2003, 2004 PT 2000, 2001, 2004 and 2005 RO 2003, 2004 and 2005 SI 2003, 2004 and 2005 SK 2004 FI 2000, 2001 and 2004 SE 1999, 2001, 2003, 2004 and 2005 UK 2000, 2001, 2003 and 2004 NO 2004, 2005

BASE_PER Not relevant for bus serv collection.

UNIT_MEASURE Monetary data are expressed in million of Euro/ECU.

    • Indicator
      • 00 Business activity (sales) development over the past 3 months
      • 01 Volume of stocks currently hold
      • 02 Expectations of the number of orders placed with suppliers over the next 3 months
      • 03 Business activity expectations over the next 3 months
      • 04 Employment expectations over the next 3 months
      • 05 Price expectations over the next 3 months
      • 06 Retail confidence indicator
    • Seasonal adjustment
      • 0 Unadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)
      • 1 Seasonally adjusted data, not calendar adjusted data
    • Unit of measure
      • 00 Balance
    • Geopolitical entity (reporting)
      • 000 European Union - 27 countries (from 2020)
      • 001 Euro area – 20 countries (from 2023)
      • 002 Belgium
      • 003 Bulgaria
      • 004 Czechia
      • 005 Denmark
      • 006 Germany
      • 007 Estonia
      • 008 Ireland
      • 009 Greece
      • 00a Spain
      • 00b France
      • 00c Croatia
      • 00d Italy
      • 00e Cyprus
      • 00f Latvia
      • 00g Lithuania
      • 00h Hungary
      • 00i Malta
      • 00j Netherlands
      • 00k Austria
      • 00l Poland
      • 00m Portugal
      • 00n Romania
      • 00o Slovenia
      • 00p Slovakia
      • 00q Finland
      • 00r Sweden
      • 00s Montenegro
      • 00t North Macedonia
      • 00u Albania
      • 00v Serbia
      • 00w Türkiye