Nature and the environment;Wholesale and retail trade and service activities
avfhandel, Waste from service industries, trade waste (from for example commodity trade, hotels and restaurants, hospitals), types of waste (for example paper, metal, plastic), EE waste (electric and electronic components)Service activities , Waste , Nature and the environment, Wholesale and retail trade and service activities

Waste from service industries


Next update

Not yet determined

Key figures


million tonnes waste from the service sector

Waste from Service Industries
TonnesPer centPer cent
20162015 - 20162008 - 2016
Waste amounts by material
In total2 181 166100.0-0.138.4
Mixed waste1 040 27247.72.015.2
Paper, cardboard and pasteboard345 18215.8-5.5-1.8
Wetorganic waste123 4375.7-7.752.9
Hazardous waste125 3795.724.652.4
Other materials546 89625.1-3.2246.1
Waste by section
In total2 181 166100.0-0.138.4
Wholesale and retail trade: repair of motor vehicles and motorcycles830 39838.10.029.2
Human health and social work activities290 19113.319.545.0
Administrative and support service activities238 72710.95.240.7
Other service sections821 85037.7-7.145.9

See more tables on this subject

Table 1 
Waste from Service Industries, by section and material.

Waste from Service Industries, by section and material.1
TotalPaper, cardboard and pasteboardMetalsPlasticsRubberGlasWood wasteWetorganic wasteConcreteSludgesEE-wasteOtherMixed wasteHazardous wasteScrapped vehicles
1Except 46.77 - Wholesale of waste and scrap, 49 - Land transport; transport via pipelines, 68 - Real estate activities, 81.109 - Other combined facilities support activities.
Total2 181 166345 182130 32029 92556 75532 551149 280123 4375 76014 02633 15460 4001 040 272125 37934 725
Wholesale and retail trade: repair of motor vehicles and motorcycles830 398198 77950 48918 98155 49416 71866 70577 1021 6971 19610 37214 239281 09528 0229 509
Transportation and storage137 68022 42111 0761 365611 28711 3723 346543 8184585 57443 49927 5235 826
Accommodation and food service activities144 70514 7561 0421 191138 1781 54817 1251602657721 76596 193961 601
Information and communication52 27114 4099 0841621572 28844820204 06368120 23491551
Financial and insurance activities9 3731 25845018806320135900197493 544293 035
Professional, scientific and technical activities208 11311 35710 53479071 61521 806654980863 6067 29294 52753 3991 460
Administrative and support service activities238 72720 84022 4881 3512771 58820 8632 7241 718723 89719 168131 2006 5585 983
Public administration and defence116 96311 7737 9638806523107 6983 6113548663 97795467 9447 6202 361
Education63 2007 2222 46587106122 4332 47482 6179461 14241 164370876
Human health and social work activities290 19135 40412 3492 6932491 30611 20113 8351793 6514 0175 147197 5186871 955
Arts, entertainment and recreation41 4162 0621 16145005461 685798121 4001891 07630 740584713
Other service activities48 1294 9011 2191 00312711 480961396556603 31332 614400855

About the statistics

The purpose of the statistics is production of annual, national figures for waste from the service Industries. The figures also contribute to the Waste accounts for Norway.


Definitions of the main concepts and variables

EE waste is all discarded electrical and electronic devices and components. They use electricity or run on batteries and are controlled by electronic signals.

Employees are the total amount of staff and owners.

Establishment is according to the Central Register of Establishments and Enterprises of Norway a local kind of activity unit, which mainly is conducting activities within a special industry group.

Hazardous waste requires special treatment according to the Waste regulation, and is defined in the EU List of Waste (LoW) and Norwegian legislation defining limits for hazardous properties. Hazardous waste contains a large number of different materials and products, but constitutes one material category in the statistics.

Industry waste is waste which is not household waste.

Material denotes substances that largely share the same chemical and physical characteristics. The material classification are based upon Classification of waste (NS 9431) ;

Mixed Waste is waste that can not be assigned to a pure waste fraction.

Ordinary waste is waste not defined as hazardous waste.

Pure waste fraction is waste that can be classified to certain materials.

Section denotes an aggregated level in the Standard Industrial Classification (SIC2002) , marked with the letters A-Q.

Service Industries include section G-Q in the Standard Industrial Classification (SIC2002) .

Stratification is the process of grouping members of the population into subgroups (strata), for example by industry and size.

Waste is defined by the Pollution Control Act §27 as: "Discarded objects or substances. Waste also includes superfluous objects from service activities, production and treatment plants etc. Waste water and exhaust gases are not regarded as waste".

Waste collector is an enterprise that collects waste. In this statistics these enterprises constitutes the respondent sample.

Wrecked vehicles is discarded vehicles.

Standard classifications

The statistics for 2006 are compiled according to the Standard Industrial Classification (SIC2002) . The 2008 statistics are compiled according to Standard Industrial Classification (SIC2007) .

The 2008 statistics are compiled both by SIC2002 and SIC2007.

The material classification is based upon Classification of waste (NS 9431) .

Administrative information

Name and topic

Name: Waste from service industries
Topic: Nature and the environment

Responsible division

Division for Natural Resources and Environmental Statistics

Regional level


Frequency and timeliness


International reporting

The statistics constitute a part of the Waste Account for Norway, which is the data source for reporting waste statistics to EU/OECD (Joint Questionnaire) and to Eurostat pursuant to Regulation on waste statistics (EC 2150/2002).


Raw data from waste collectors and data to be inflated will be stored as files in the operating system UNIX. Most of the calculations are stored as SAS-language files. A few are stored as excel-files.


Background and purpose

The purpose of the statistics is production of annual, national figures for waste from the Service Industries. The figures also contribute to the Waste account for Norway. The investigation of waste from Service Industries started as a pilot study in 1999. Waste from wholesale and retail was examined, based on the industries own knowledge on the subject. In 2000 Statistics Norway got access to Norsk Gjenvinnings customer register, which among others contained about 5500 Service Industry establishments. Based on these data, figures for wholesale and retail was published in February 2001. The statistics were expanded to cover the whole Service Industry, and preliminary figures for 1999 were published in the winter 2001/2002. Later, after revision of method and data, new figures for 1999 were published in the report Waste Generation in the Service Industry Sector 2002/24 (Skullerud & Stave 2002). A new pilot study was initiated in spring 2007, with the intention to collect registers from more waste collectors than in previous studies, and to establish consecutive annual statistics on the subject. The figures for 2006 are based on data collected in this pilot study.

The data collection for 2008 was done with filing requirement. As opposed to the 2006 datacollection, the respondent sample of 2008 included waste collectors (enterprises that which collects waste) that collects spesific pure waste fractions. This was done to improve the quality of the data basis, both due to sample coverage and waste fraction incompletness for the establishments. As a consequense of using filing requirement in the data collection for 2008, more customer registers was collected resulting in a larger sample.

The 2006 figures are recalculated as a consequence of different data quality for the two years. The data basis for 2006 has been supplied with 2008 figures by imputation for mutual esablishments in the cases where new respondents contributed to a more complete waste data.

Users and applications

Figures from the statistics are used directly in the Waste Account for Norway, and for international reports (EU and OECD). The statistics are used in waste related assessments by the authorities. In addition, the figures are of interest to the Service Industries, waste handlers, the media and the public.

Equal treatment of users

Not relevant

Coherence with other statistics

The statistics are connected to the Waste Account for Norway. Among several sources, this statistics are used in The Waste Account for Norway. The figures for the Service industries in the Waste Account is, however somewhat higher, than in this statistics. The Waste Account include sludge from sewage macerator, causing discrepancy concerning sludge. The Waste Account for Norway also considers the composition of the mixed waste, based upon results from sorting analysis. This cause the pure waste fractions to be somewhat higher, and the mixed waste lower in the Waste Account than in this statistics.

Legal authority

The Statistics Act, §§ 2-2, 2-3 (coercive fine)

EEA reference

Regulation on waste statistics (EC 2150/2002).



The statistics comprise waste as defined in the Pollution Control Act §27, except hazardous waste and scrapped vehicles. The statistics for 2006 cover establishments classified as Service Industry, section G-O, according to Standard Industrial Classification (SIC2002) . The following are excluded from the statistics, because they handle waste from other establishments: 51.57- Wholesale of waste and scrap, 60- Land transport; transport via pipelines, 70- Real estate activities, 90- Sewage and refuse disposal, sanitation and similar activities.

For 2008 the statistics are compiled by both by SIC2002 and SIC2007. From 2009 the statistics is compiled only by SIC2007.

The statistics for 2008 and later years cover establishments classified as Service Industry, section G-S, according to Standard Industrial Classification (SIC2007) .

The following are excluded from the statistics, because they handle waste from other establishments: 46.77- Wholesale of waste and scrap, 49- Land transport; transport via pipelines, 68- Real estate activities, 81.109- Other combined facilities support activities.


Data sources and sampling

The statistics are compiled on data from customer registers gathered from waste collectors. The Central Register of Establishments and Enterprises of Norway has also been applied. Figures on wrecked vehicles are compiled from The Register of Vehicles at the Directorate of Public Roads and vehicle refund data from the Directorate of Customs and Excise. Hazardous waste are compiled from SSBs "Foundation database", including ideally all hazardous waste handled in for approved treatment in Norway.

The sample consists of Service Industry establishments with a customer relationship to waste collectors, who can be identified using the Central Register of Establishments and Enterprises of Statistics Norway. Establishments in the industries as defined in section 3.1 are excluded. Only establishments with employee figures are used in the inflation of the sample.

Collection of data, editing and estimations

The 2006 customer registers was voluntarily reported from the waste collectors. From 2008 data are collected with filing requirement.

The identity of the establishments is controlled using the business register. Establishments who carry out secondary waste treatment are excluded before inflation. Such establishments are identified graphically by plotting waste per employee against sector. By doing this, establishments with disproportionate amounts of waste per employee will become visible. Outliers are handled by regression diagnostics, identifying establishments that both strongly differ from the strata and will have great impact on the final result.

Inflation of the sample is done according to standard statistical methods. A rate model is used. In this model, we assume that variable x (employees) explains variable y (amount of waste), and that there is an approximately linear coherence between variable x and variable y. The ratio between variable x summed over respectively the population and sample are used to inflate the waste to cover the whole population. The population is stratified by crossing employee groups and industry. This is done to account for the fact that waste per employee vary both by size and industry.

Seasonal adjustment

Not relevant


Data are summed and processed, thus sensitive data will not be visible in the final result.

Comparability over time and space

Waste from Service Industry has been made for 1999 and 2006. Because of significant discrepancy inn coverage, comparison should be limited to wholesale and retail trade, repair of motor vehicles, motorcycles and personal and household goods (section G). The coverage in the 2008 survey was further improved due to a larger sample. The extended data collection also resulted in more complete waste data for the establishments. Adjustment of the 2006 figures have been made due to this. Nevertheless the comparability conserning the pure waste fractions are still uncertain.

As of 2012 the sample size has been increased and the calculations have been somewhat changed. This change has led to an increase in the numbers compared to earlier years. The increased sample size also contributes to the increase as fewer waste fractions are now outside the sample. We therefore assume that the uncertainty in the figures is less than before.

There are also changes in the calculation of hazardous waste. The numbers used are from the statistics on hazardous waste, instead of using separate calculations for this statistics on service industries. This has involved some adjustments to some of the waste fractions.

Accuracy and reliability

Sources of error and uncertainty

Errors in the data may occur as a consequence of poor quality of reported files. This may result in: 1) erroneous amounts of waste, 2) complication of the establishment identification process. Misunderstandings and errors regarding units will be revealed. In case of missing variables on reported data, a new file will be requested. Insufficient identification of establishments is solved by excluding unidentified establishments. Waste amounts for these establishments will be estimated in the inflation process. Waste given in units other than tonnes and kilos will be converted to tonnes based on the waste collectors own conversion coefficients. Inaccurate or incorrect coefficients may result in erroneous amounts of waste. These coefficients can, to some extent, be controlled by comparing the coefficients for the different materials.

The 2006 survey was based on voluntary participation, which resulted in fewer incoming files than expected. The 2008 survey was done with filing requirement, which resulted in more incoming customer registers.

For some sections the sample coverage (share of population within the sample) is low. This, in combination with great variation in waste generation by employee, gives uncertain calculations in these sections. The sample is based on customer registers, which leads to some peculiar sources of error:

1) The sample include only establishments registered in waste collectors registers, thus the sample are not random.

2) The calculations are based on register from a selection of waste collectors. Some of the customers probably delivered a few pure waste fractions to waste collectors outside the selection, or to receivers outside the waste collection business. The total waste amounts and the amount of pure fractions may be underestimated, while the share of mixed waste could be overestimated.

The 2008 data collection is extended to improve data quality, especially for the pure waste fractions. The uncertainty of the statistics are thus lower for 2008 than for 2006.

The 2006 figures have been recalculated. Hazardous waste and wrecked vehicles are now included. The 2006 figures are also adjusted to compensate for quality differences between the two data basis. Nevertheless, the uncertainty of the 2006 figures should be considered somewhat greater than the 2008 figures.

As a result of the extended data collection for 2008, wetorganic waste showed a significant growth since 2006. An analysis of the waste composition per waste collector pointed out that new respondents in 2008 was significant contributors to increased amounts of wetorganic waste in 2008. The figures concerning wetorganic waste in 2006 was therefore recalculated based on 2008 figures using employees as auxiliary variable.


Not relevant