Wholesale and retail trade sales statistics
Updated: 15 August 2022
Next update: 11 October 2022
|Turnover||Change in per cent|
|2nd period 2021||2nd period 2022||2nd period 2021 - 2nd period 2022||2020 - 2021|
|Sale and repair of motor vehicles||57 529||56 429||-1.9||18.3|
|Wholesale trade||192 432||217 546||13.1||11.3|
|Retail trade||92 607||97 654||5.4||4.6|
|Grocery trade||37 531||34 184||-8.9||-0.1|
|E-commerce||7 247||6 428||-11.3||19.1|
|1The figures do not include value added tax.|
About the statistics
The purpose of the statistics is to identify the level and development of wholesale and retail trade.The turnover for a given year is only final when the last period in the following year is published. Both quarterly figures and figures for every second month are available in StatBank.
Turnover: Includes dutiable and duty-free sales income from goods and services. Financial revenues, public subsidies or value added tax are not included.
Name: Wholesale and retail trade sales statistics
Topic: Wholesale and retail trade and service activities
Division for Structural Business Statistics
Concerns bimonthly data only: Regular publication of data divided by counties in addition to the data published at national level. Other geographical breakdown can be commissioned.
Bimonthly level-numbers and quarterly indices.
The bimonthly turnover statistics is initially published about seventeen weeks after the expiration of the statistical period. Revised data are then published respectively two and four months after the initial publication.
The quarterly indices are initially published about sixty days after the expiration of the quarter. They are published at the NACE two-digit sector level only (NACE 45 and 46). Revised data are published in connection with the next time publication, i.e. three months after the initial publication.
The published data are being revised up to two calendar years back in time. This is explained in the table beneath, with the quarterly indices as an example. Superscript T refers to the current year, while subscript 1-4 refers to the relevant quarter.
The quarterly indices are reported to Eurostat, both gross data and data adjusted by working days, sixty days after the expiration of the quarter.
Primary data and the compiled statistics are stored electronically in files of the in the programming language SAS.
The purpose of the statistics is to identify the level of and the development of wholesale and retail trade. The statistics has been produced since 1995.
From 1995 to 2006, only the bimonthly data where published nationally. The quarterly indices where published by Eurostat only. As from the first quarter of 2007, the quarterly indices are also published nationally.
Users include public and private sector agencies and organisations. The National Accounts statistics of Statistics Norway rely on the timely production of the Wholesale and Retail Statistics. Other users include the Research department of Statistics Norway.
Similar statistics is being prepared for all dutiable industries. Change in the progress of turnover is compared with the monthly Index of Retail Trade. Both change in progress and level numbers are compared with the annual Structural statistics for Wholesale and Retail Trade.
The Statistics Act, paragraphs 3-2.
EU Council Regulation No 1165/98, May 19, 1998 regarding short-term statistics.
The population is all VAT-registered units within the industries of wholesale and retail trade, repair of vehicles and household goods and personal goods included. Agency business is not part of the population. This means NACE 45, 46 (except 46.1) and NACE 47, according to the Standard of Industrial Classification (SIC2007). State owned units and units owned by the social security administration or local or regional governments are not part of the population. The observed unit is mainly identical to the obliged VAT-registered unit, i.e. enterprises with an annual turnover that exceeds NOK 50 000.
The Wholesale and Retail Trade Statistics represent full-census survey data for the entire population.
Data are collected from the VAT-register.
Turnover is controlled against earlier received data. If the divergence is considerable, the individual VAT-unit is contacted. Information from the VAT-register is controlled against the Central register of Establishments and Enterprises and the Central Coordinating Register for Legal Entities.
For the bimonthly statistics the data are summed up. When a VAT-unit consists of more than one active firm, the data is being divided according to registered turnover in the last annual data file from the Central register of Establishments and Enterprises.
The quarterly indices are computed from the bimonthly statistics. Therefore it is needed to divide some of the bimonthly data in two. For the division, the number of workdays within a month is used. The model for calculation of quarterly data is described below:
The variable Q refers to quarterly numbers, B is bimonthly numbers and wd is the number of workdays in March, April, September or October. Superscript T refers to the actual quarter, while subscript T refers to the current year. Subscript j shows that the data is divided into the most detailed NACE level as possible, i.e. three-, four- or five-digit sector level. Subscript h refers to two-digit sector level.
If a table cell consists of less than three observations, the data for the actual table cell are not being published. This is necessary because it would be possible to identify the individual data from the actual enterprises. This is particularly important for regional data.
In the period 1995 to 2002 the statistics was published according to the Standard Industrial Classification (SIC1994). From 2002 is has been published according to the Standard Industrial Classification (SIC2002), and from 2009 is has been published according to the Standard Industrial Classification (SIC2007)
Changes in the statistics: Before the first bimonthly term of 2001, the statistics only included dutiable sales. From the first term of 2001, the statistics includes both dutiable and duty-fee sales.
Measurement errors (the respondent gives erroneous data) and processing errors (wrong interpretation of digits and letters written on paper forms during optical scanning) may occur. These types of errors are tried to avoid through control routines, as explained in chapter 3.5. Another possible error may occur, if there are used out of date distribution formulas to divide turnover in cases where a VAT-unit consists of more than one firms.
Errors in the estimation of quarterly indices may occur if the development between first and second term, or fourth and fifth term, in the bimonthly statistics is substantially different last year and this year.
The County Revenue Office is contacted in cases where big enterprises have failed to respond. For the first and second time publication, unit non-response is imputated. By the third and last publication, the turnover for unit non-response is set to cero.
Other errors in the VAT-register, under reporting included. This is difficult to value, but it is assumed not to represent a substantial source of errors.