Name of institution

Description of key responsibilities

Statistics Netherlands

– Environment Statistics

• Collect, process and publish waste statistics 
• Survey on municipal waste 
• Survey on non-hazardous waste generated by enterprises 
• Survey on public waste water treatment facilities 
• Survey on discarded vehicles 
• Statistics on waste from NACE G-Q, 37-39, 4677

Rijkswaterstaat

– Waste Management Department

• Monitoring and formulation National Waste Management Plan
• Statistics on hazardous waste 
• Statistics on construction and demolition waste 
• Statistics on Agricultural waste
• Maintaining the national database of waste statistics

Rijkswaterstaat

– LMA

• Host of the database with national waste transports in the Netherlands

Rijkswaterstaat

– EVOA

• Writing permits and registration of transports that fall under the Waste Shipment Regulation.

IenW

- Dutch Ministry of infrastructure and Water management

• Responsible for national waste policy

-          The administration and monitoring of all waste is formulated in the LAP 2017-2023 (National waste management plan) [1].

-          Some companies are statutory required to publish an environmental performance report (e-PRTR) [2].

-          Reporting entities are statutory required to deliver data to Statistics Netherlands [3].

-          Transports of hazardous and non-hazardous waste are statutorily required to be registered for enterprises that have a provincial waste permit [4]. These registrations are the basis of the “AMICE”-database from NL Agency.

-          Transboundary waste transports (except green-listed wastes) are statutorily required to be registered under the waste shipment regulation 259/93 [5]. These registrations are the basis of the “DaVinci” database from NL Agency.

 Due to changes in legislation and practice, the data sources are subject to changes.

Collect, process and publish waste statistics

Survey on municipal waste

Survey on non-hazardous waste generated by enterprises

Survey on public waste water treatment facilities

Survey on discarded vehicles

Monitoring and formulation of “LAP 2017-2023” (National Waste Management Plan)

Statistics on hazardous waste

Statistics on Agricultural waste

Statistics on construction and demolition waste

IenW - Dutch Ministry of infrastructure and Water management

The generation of waste is calculated using a variety of methods and sources. Table 2 gives an overview of the sources and methods used to compile the generated waste. In brief this is:

Hazardous waste

All hazardous waste arisings, except for NACE HH, were determined using the registry of national waste transports. This is described in more detail at page 9 and 10.

Non-hazardous waste from NACE 01 to 03

Non-hazardous waste arisings from agriculture and fishing industries were determined by using a model, described at page 14, developed by Van Beusekom and Verbrockhaven [6]. Some parameters in the model were updated in 2008 data [7].

Non-hazardous waste from NACE 06 to 36 and 383

Data is collected using data published in the e-PRTR and supplemented with a sample survey. This is described in more detail at page 7.

Non-hazardous waste from NACE F

All waste arisings in NACE F, except dredging spoils, were determined using the registry of national waste transports (see page 13). For dredging spoils, registrations from the Rijkswaterstaat (ministry of infrastructure and environment) have been used.

Non-hazardous waste from NACE G-U (excl. 46.77), 4677, 37, 381, 382 and 39

The amount of generated non-hazardous waste is estimated by using the notifications in the AMICE database. This method is described in more detail at pages 10 to 13.

Non-hazardous waste from NACE 383

Non-hazardous waste arisings (excluding metallic wastes, combustion wastes and common slugde) were determined by a sample survey described at page 7. Common sludge waste arisings were obtained from a survey conducted by Statistics Netherlands. This survey is described at page 8.

Non-hazardous waste from Secondary wastes

Secondary wastes are obtained using treatment data of some waste streams. This is described in more detail at page 14.

Non-hazardous waste from NACE HH

A survey among all municipalities, described at page 7, is used to determine the waste arisings from households. Waste arisings of discarded equipment is obtained from the WEEE-Directive.

Discarded Vehicles

For all NACE categories, statistics on discarded vehicles can be compiled by using the data from the national vehicle registration authority.

Table 2: Description of methods for determining waste generation

1   Reporting obligation on car tires

2   Reporting obligation on WEEE

3   Reporting obligation on batteries

4   Survey on national waste water plants in public sector

5   Registrations from ministry of infrastructure and environment (Rijkswaterstaat)

Registration national of waste transports

Source                         LMA

Used Method(s)            Mandatory registration

Economic activity          All economic activities (except households)

Waste categories          various wastes

Transports of hazardous and non-hazardous wastes are statutorily required to be registered for enterprises that have a provincial waste-permit [4]. The legal basis of this registry, later referred to as AMICE, can change. This might influence the waste statistics that are obtained from it. Unfortunately, Statistics Netherlands has no possibilities to influence the contents of the register.

Prior transportation, the LMA has to be notified if the receiving enterprise intends to transport waste. This notification describes the Eural code, sender and receiver. A unique “waste stream code” is allocated to this transport. When a waste transport has actually taken place, the shipped weight is linked to the “waste stream code” and stored in the register. The transports that are registered should cover every waste transport in theNetherlands. Thus, the register comprises of primary wastes, secondary wastes, and traded wastes.

Wastes can be transported many times from the moment of collection (discarding of waste from the enterprise) to final treatment. Including the intermediate transports to the waste arisings would result in double counting. Therefore, one of the challenges is to differentiate the primary wastes transports from the others. As the database comprises of all waste transports in theNetherlands, this was done by monitoring the chain of waste transports between the enterprises. The first waste transport in the chain reflects the primary generation of waste in theNetherlands. This transport is marked differently than the intermediate notifications during analysis of the register. This pre-analysed registry is used as a source to compile four waste statistics. Namely,

1) Hazardous waste for the entire economy,

2) Non-hazardous waste arising from NACE G-U, 4677, 37, 381, 382, 39

3) Demolition and construction waste

Those statistics are described in more detail below.

1) Hazardous waste

For hazardous waste, this registry is expected to be complete as there is a long tradition to register hazardous waste transports in theNetherlands. The statistics are compiled by selecting the primary transports of hazardous waste. The allocation to economical activity was done in several steps. Firstly, the information of the Euralcode has been used. For instance, chapter 17 codes were allocated to construction and demolition waste and chapter 18 codes to healthcare waste. Another example is that entries with *garage* in the name were directly allocated to the NACE of garages. Next, the remaining entries are linked to the NACE if there is a chamber of commerce number available for the enterprise. In the last step, the largest unmatched entries are manually matched to the NACE. Eventually, around 80 % of the total amount of hazardous waste could be allocated to NACE. Waste arisings of the unmatched enterprises where distributed pro rata over the NACE sectors.

2) Non-hazardous waste in NACE G-U; 4677; 37; 381; 382; 39

Non-hazardous waste in NACE G-U; 4677; 37; 381; 382; 39 is obtained using the AMICE register. Some types of waste transports are statutory excluded from being registered. For instance, if a waste collector collects the waste from multiple companies during one transport, the waste collector does not have to clarify from which companies it had collected waste. Only an anonymous total amount has to be notified. Obviously, this hampers the link between generation and origin (NACE). Companies that only collect / trade with green listed wastes do not have to register. This is particularly a persistent problem for tradable wastes, such as paper and metal. For both reasons, the notifications on non-hazardous waste are not considered to be complete and are therefore not directly usable for the Waste statistics Regulation. Thus, the relatively easy method used to calculate the hazardous waste arisings would not lead to reliable results for non-hazardous waste. To overcome this, the data has to be adjusted to obtain the real waste generation. This was done by using stratified waste factors to correct for the non-response. Those waste factors were derived from the companies in the response group.

It has been assumed that each company in NACE G-U is likely to produce waste, thus the business register is taken as the total population. In order to determine response and non-response, the notification register has been linked to the business register by using the following method. Some entries in the notification register had a chamber of commerce number. These could be linked 1 on 1 to obtain the NACE, size-class, number of employees, and its name. The rest has been linked using postal code + house number. This yielded a 1 on many result in most of the cases. In order to select the best fit, the resemblance of the name of the enterprise in the register and the business register was calculated using a reversed trigram method [8]. The best score has been assumed to be the correct link. Then, for all links, i.e. derived from the Chamber of commerce and postal code, the reversed trigram score was calculated on the names. Scores lower than 25 were considered to indicate a wrong link for the links derived from the chamber of commerce number. For the links derived with the postal code, a stricter criterion of 50 was used. The remaining links are considered to be the response, and subsequently divided into 2 digit NACE categories and 8 size classes. The following size classes were used.

1-4                    employees (stratum 1)

5-9                    employees (stratum 2)

10-19                 employees (stratum 3)

20-49                 employees (stratum 4)

50-99                 employees (stratum 5)

100-199             employees (stratum 6)

200-499             employees (stratum 7)

500 and more    employees (stratum 8)

Table 5 shows the number of linked enterprises in comparison to the number of enterprises in the business register for NACE G-U. It appears that the number of enterprises in the non-response was considerable compared to the number of enterprises in the response. However, the response percentage increases if the enterprises become larger in size. Larger companies are generally expected to generate more waste. This will be beneficial for the accuracy of the statistics. This trend was similar for the other NACE categories (not shown).

For each 2 digit NACE, EWC-stat code, and size class, hereafter referred to as the cell, the following parameters were calculated from the response group.

• The amount of waste generated
• Total number of enterprises producing waste in general in 2digit NACE and size class for NACE G-U. The other NACE categories were divided into 46771, 46772, 46779, 381, 382, 37 and 39
• Number of enterprises producing the specific waste of the cell
• Median of waste generation
• Total number of enterprises in theNetherlands

Table 5       Coverage of the enterprises in the AMICE database to the business register

These results have to be interpreted with caution, as some cells can contain unrealistic information. An example of unrealistic data is that production waste is accounted to the financial holding, instead to the production facility. Another observation was that some cells were obvious double countings with waste from waste collection from municipalities. In those cases, all enterprises in the cell were transferred to the non-response. Obvious waste collectors in the NACE G-U, where also excluded from the response. These were:

• metal waste in NACE 46722 (Wholesale of metals and metal ores) and 46723 (Wholesale of wood, construction materials and sanitary equipment)
• Green wastes (EWC 09.13) from NACE 46216 (wholesale in raw vegetable and animal oil and fat and oil-containing raw materials)
• Waste in general from NACE 416 (Wholesale on a fee or contract basis).
• If the amount of waste exceeded 5000 kgper employee, the data was excluded from the data set for the wholesale of scrap and waste (4677) sector.
• If the amount of waste exceeded 10000 kgper employee, the data was excluded from the data set for the Freight transport by road and removal services (NACE 494)
• If the amount of waste exceeded 20000 kgper employee for EWC-stat group Metallic wastes (06), the data was excluded from the data set for NACE codes starting with 4.

For larger companies, another typical phenomenon occurs. It has been observed that not all local units of the kind-of-activity unit are linked to the business register. Waste occuring in these cells are notoriously under covered.

For those reasons, it is evident that statistics have to be made very carefully. Therefore, a suitable method had to be found to determine outliers, but not to delete real deviating data. This was done by calculating the average waste arising in the NACE G-U sector for a EWC-stat code and size class. A robust method appeared to determine the median of the waste arising per employee for each size class, EWC-stat combination. The calculated medians per employee were averaged for each EWC-stat code with excluding obvious outliers. Finally, the median per employee is used to calculate the median in the size class  (M_calc) by multiplying it with the average number of employees in the size-class. This M_calc­ represents the average waste arising for a size class for a EWC-stat code per enterprise, and was used to correct for non-response if the waste factors in the cell were unrealistic.

Then, an assumption is made how often the waste is expected to arise in the 2d NACE. This information is applied to determine the number of enterprises in the non-response group. Three waste patterns were distinguished. For common wastes, like household waste and paper waste, it has been assumed that the waste occurs in all enterprises. Thus, the business register has been taken as the population. Non-response was subsequently determined by subtracting the number of enterprises in the response (N_response) from the number of enterprises in the Netherlands (N­_{enterprises in NL}). The non-reponse was multiplied by the median, as seen in equation 1. The median of the cell (M­_cell), however, could display unrealistic data, as mentioned before. To prevent unrealistic extrapolations, the value of the M_cell has been compared to the median of the whole sector (M_calc). If M_cell deviated more than 2 times smaller/larger than M_calc­, the M_cell is rejected and M_calc is used to estimate for non-response.

W_non-resp = Median * (N_{enterprises in NL} – N­_{enterprises in response})                  (1)

For less common wastes, but still typical for the sector, we assumed that only a fraction of the companies produce the waste. This could be, for instance, rubber waste in wholesale and retail trade and repair of motor vehicles and motorcycles (NACE 45). The fraction that produces the waste has been chosen by a guess of ourselves of 10, 20, 30 or 50% of the enterprises. The other steps in the procedure were similar as described for equation 1. This leads to equation 2.

W_non-resp = (N_{enterprises in NL} – N­_{enterprises in response}) * Fraction * Median  (2)

The non-response was set to zero for incidental waste streams, such as metal waste in telecommunication (equation 3). Extrapolation for those wastes is expected to be unrealistic.

W_non-resp = 0                                                                                  (3)

Then the total waste arisings are calculated with equation 4.

W = W_non-resp + W_resp                                                                                            (4)

3) Construction and demolition waste

In order to determine the generation of construction and demolition waste, the primary wastes were extracted from the analysed AMICE database. All chapter 17 codes from the Eural classification were initially considered as construction and demolition waste. The entries from extraction are checked whether it comprised of waste enterprises in the construction and demolition sector. Entries from other sectors were removed from the extraction. Then, double countings of mineral waste and wood wastes from households are subtracted from the total.

Treated waste = Generation of waste + Import – Export                                                         (5)

Several data sources were used to determine import and export amounts.

• For the orange and red-listed wastes, import and export were taken from the Waste Shipment Regulation [5].
• For green listed wastes imports and exports were obtained using the AMICE database and international trade. For a complete description how this has been done, see section on the import and export on green listed waste on pages 18 and 19.

Then, an average treatment of waste has been made for each Eural code. This has been done via empirical data of waste notifications and assumptions. This average treatment of waste was in line with the generated secondary wastes.

In practice three scenarios were calculated:

1)     In case the waste is directly subjected to final treatment, the amount that is generated is simply added to the imports and exports are subtracted to determine the treatment of that waste (according to equation 5). The secondary wastes that arise during final treatment are added to the generation. Those secondary wastes are also accounted in the treatment table.

2)     If wastes are subjected to pre-treatment, such as glass wastes, the secondary wastes that arise during sorting are added to the secondary wastes (metals, plastics, paper, and so on). The cleaned waste material (glass in the example) is not double counted. The secondary wastes are also accounted in the treatment table. The remaining glass that is final treated, is assumed to be recycled. Only, the impurities that were separated during pre-treatment are subtracted from the treatment (see equation 6).

Treatment of glass = Generation of glass waste – secondary wastes + imports – exports       (6)

3)     For some wastes, the waste is treated via various treatment channels. For instance, in some regions in the Netherlands, the household waste is directly incinerated (scenario 1). However, for other regions it is sorted (pre-treated) prior to final treatment (scenario 2). This is divided according to the previous scenarios.

The total amount of treated waste is researched independently by enquiring the disposal, incineration, and composting facilities in the Netherlands [10]. The outcomes of equation 6 are consistent with the value in that publication.

-      Companies within category NACE 383 in the business register

-      Memberships of sector associations

-      Report from the study group waste treatment registration

-      Additional researches (e.g. internet)

Registry of waste treatment

Source              Waste Management Department

Treatment          All treatment methods

This registry contains data how each type of waste is treated on average. That is to say, waste item “a” is treated as: x % R1, y % R2, etc. For each waste item, the data is updated every 3 to 5 years. The information is gathered from several sources. Industry reports, transport notifications and assumptions.

      Treatment quantities of generated waste are determined by linking the registry of waste treatment to the generated waste from Annex I (see equation 5)

The numbers are corrected for the import and export to obtain the treated waste quantities in the nation (see equation 6). 

For metal, glass, paper and household waste, data on treated waste is obtained form sector associations or other sources. 

The total amount of composted, incinerated, disposed waste is taken from a report [10].

Waste generated by households

Waste generated by economic activities

Waste used as fuel (item 1) (incineration in the form of recovery R1)

Waste incinerated (item 2) (incineration as disposal D10)

Waste recovered (R2 – R11), incl. backfilling (item 3a and 3b)

Waste disposed of by landfilling (D1, D5, D12) and other disposal operations (D2, D3, D4, D6, D7) (item 4 and 5)

Key aggregate

Amount of hazardous waste

[1000 tonnes]

Amount of Non-hazardous waste

[1000 tonnes]

Coefficient of variation hazardous waste
[%]

Coefficient of variation non-hazardous waste
[%]

Waste generation: ...SEE EUROBASE FOR MOST UP TO DATE INFORMATION ...

Waste generated by households

...

...

-

0,7

Waste generated by economic activities (NACE 01 to 03)

...

...

-

-

Waste generated by economic activities (NACE B-E)

...

...

-

3

Waste generated by economic activities (NACE F)

...

...

-

-

Waste generated by economic activities (NACE G-Q)

...

...

-

-

Waste treatment

Waste used as fuel (incineration in the form of recovery R1)

-

-

Waste incinerated (incineration as disposal D10)

-

-

Waste recovered (R2 – R11)

-

-

Waste disposed (landfilling D1, D3, D4, D5, D12

-

-

Land treatment and disposal into water bodies (D2, D6, D7)

Table below lists the methodologies to reach full coverage for each of the data sources used to compile the waste statistics.

Methodologies to reach 100% coverage

Despite the variety of collection methods of waste and extensive surveying, some coverage errors inevitably occur. These coverage errors are inherent to the national waste management. The most evident ones are discussed below.

The amount of household waste has been researched by surveying the municipalities. This survey dealt on waste quantities of the following collection methods:

-      kerbside collection

-      bring/drop-off at recycling centres

-      waste collected by shops specialized in recycled goods

-      waste collected by charity, schools, churches, etc that is reported to the municipality

-      waste collected at paper banks, textile banks, glass banks, and other waste banks at the street

These collection methods are primarily intended for private individuals, i.e. households. However, in practice, the waste generated by small enterprises will be inevitably mixed with the waste from the households. During or after collection, it is not possible to distinguish between waste generated by the households and that of enterprises. Therefore, it has been assumed that the collected waste was generated completely by households. Up to 2004, municipalities were enquired by Statistics Netherlands whether they had data on the amount of household waste generated by other sources than households. In 2004, 110 municipalities have responded to this question from a total of 467. The over-coverage of household waste is estimated to be approximately 8 %.

By-products or rest materials of industrial activity are considered to be waste for statistics. Companies, however, are not always aware of this, as the by-products or rest materials can possess an economic value. Consequently, these waste streams are not always reported in the questionnaire. This results in underreporting. It is suspected that the coverage of reported metallic waste is significantly lower than the real generation of waste. It is expected that also other waste streams which have an economic value (such as textile, paper waste) are prone to be discarded without registration, and thus result to under coverage in waste statistics.

The first step in the determination of the construction and demolition waste was to assign the chapter 17 Euralcodes to construction and demolition waste. Obvious enterprises from other sectors, such as manufacturing or households, are later eliminated as this would be double counting. However there was not sufficient time to check every 17 code. The construction and demolition wastes can still comprise of wastes from for instance manufacturing sector, or agriculture sector.

The coverage of the registry of national waste transports for hazardous waste arisings has been studied by NL Agency. It is believed that the registry covers the amount of generated hazardous waste well. Nevertheless, it is very likely that not all waste transports are registered. Thus, the amounts of waste that are compiled using waste transport registries reflect a lower limit of the generated waste. The origin of the waste was allocated using the first two digits of the Eural code. This certainly led to mistakes. Remaining entries were subsequently linked from the NACE of the enterprise were the waste was generated. Unfortunately, there are examples that the initial generation in the registry could differ from initial generation in reality. Moreover, not all entries are linked to a NACE category. Hazardous wastes from those unlinked companies are distributed pro-rata over all NACES. In conclusion, there is a significant coverage error on the origin of generation due to the abovementioned reasons.

For the generation of non-hazardous waste in NACE G-U, data from the same administrative source was used as for hazardous waste arisings. In this administrative source, some types of waste collection are statutory excluded from registration. For instance, if a waste collector collects non-hazardous waste from multiple companies during one transport, the waste collector does not have to clarify from which companies it had collected waste. Only an anonymous total amount has to be notified. This hampers to link the generated waste to the NACE code. Another observation is that some companies do perceive their waste as products, thus do not register this. This is particularly a persistent problem for tradable wastes, such as paper and metal. For both reasons, the notifications on non-hazardous waste are not considered to be complete. In general, the data had been corrected for non-response. However, insufficient data was available to correct for all wastes in the NACE G-U in the non-response. The most evident waste items that are under covered are:

Metal waste for NACE G-U

Rubber in NACE G-U except 45

Wood in NACE 45, 55-56, 59-99

Textile in NACE G-U

EWC 09 waste in NACE G-U

EWC 10.2 and 10.3 in NACE G-U

The secondary waste arisings were almost absent for the reference years 2004 and 2006. For 2008, results from a preliminary analysis of secondary waste were included in the WstatR. However, due to a lack of experience, we only corrected evident missing waste streams for non-response. For 2010, we chose to proceed with another, easier, approach. Only the secondary wastes that are easy to assess were included. The following secondary wastes could unfortunately not yet be covered.

• Composting residue, compost are not covered
• Metals and shredder waste from shredder activities of mixed metals
• Wastes that arise after pre-treatment of glass packaging
• sludge from leach water treatment, from landfills

All vehicles have to be registered by the national vehicle registration authority. However, some vehicles types, such as mopeds, motorcycles, caravans, ships, airplanes, tractors, trams, are excluded from registration, which lead to an under coverage for the weight of discarded vehicles.

Item 1Incineration (R1)

Item 2Incineration (D10)

Item 3a Recycling (R2-R11)

Item 3b Backfilling

Item 4 Landfilling
(D1, D5, D12)

Item 5 Other disposal
(D2, D3, D4, D6, D7)

Data source

Waste types, or economic sector

Measurement errors

Municipal waste survey

Household waste (NACE HH)

Survey is conducted at municipal level, i.e. each municipality. Reporting is done on NUTS-2 and NUTS-1 level.

The quantity of waste is measured in kg after collection. It is expected that the measurements lead to negligible measurement errors.

Registry of national waste transports

All hazardous waste

Local units. Linking the LU to KAU leads to errors. Most evident errors are identified, and corrected for.  Those were typically enterprises that generate large waste streams. However, there’s insufficient capacity to check the whole database.

The quantity of waste is measured in kg. It is expected that the measurements lead to potential measurement errors. Reports of volumes, or tonnages could also be, incorrectly, used. There is not much capacity to control the quality of the notifications in the register.

Survey on non-hazardous waste generated by NACE C-E

Enterprises

No noticeable measurement error due to the statistical unit (KAU)

Wastes arising from the dismantling and sorting of WEEE

Survey on public waste water treatment plants

Common sludge wastes

The weight of the wet common sludge has been determined. This is accurate. The largest measurement error, however, occurs when the fixed percentage of 25 % dry solids is applied to calculate the dried weight. For sludges from septic tanks, 1,5% dry solids was taken (expert’s opinion).

National Vehicle Registry

End-of-life vehicles

Discarded vehicles are reported by number and by weight (in kg) by the National Vehicle Registration Authority. This is expected to be accurate.

Waste modelling

Non-hazardous waste NACE 01 to 03

Some waste factors can be outdated.

Import and export of waste

All wastes

The amounts are registered in kg. This is compatible with the WstatR reporting format. However, individual records still contain mistakes, that are not previously detected and corrected by the automated data processing procedures. The most evident mistakes are corrected for.

2021

2022

Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec

Jan

Feb

Mar

Apr

May

Jun

Jul

Municipal waste survey

Sending questionnaire

Collecting questionnaires

Data processing

Manual check of the data

Final data analysis and evaluation

Data tabulation and publication

Survey on non-hazardous waste in industry

Sending questionnaire

Collecting questionnaires

Data processing

Manual check of the data

Final data analysis and evaluation

Data tabulation and publication

Survey on public waste water treatment facilities

Sending questionnaire

Collecting questionnaires

Data processing

Manual check of the data

Final data analysis and evaluation

Data tabulation and publication

National Vehicle Registration

Publication

Survey on waste generated by waste incinerators

Publication

Secondary Waste

Determine sec. wastes in model

Waste from NACE G-U, 37, 381, 382, 39, 4677

Linking database to business register

Extracting primary wastes

Determining non-response + data processing

Registry of WEEE

Data collection

Data processing

National registration of waste transports

Extraction from database

Data processing

Registrations of the import and export of waste from Waste Shipment Regulation

Data collection

Data processing

Import, export, treatment of green listed waste

Collecting International trade data (microlevel)

Collecting waste transports to industry using AMICE

Collecting imp/exp from AMICE register

Integrating registers (avoiding double counting)

Determining Treatment in the Netherlands

Waste Statistics Regulation

Collecting information and evaluation

Publication

Economic activities

Kind-of-activity unit (KAU)

Fully compatible with WstatR requirements

Waste types

Recovery and treatment operations

Legal basis of AMICE

The legal basis for reporting to the AMICE database is constantly changing. This implies that for some types of waste reporting or sectors can stop or start after a legal amendment. It is unclear how this affects data quality.

Reported waste categories

In the survey on manufacturing waste and waste from services, the introduction of new categories had an influence on the correction for the non-response. In general, the EWC-stat category 10.2 was mostly influenced and increased. In the food manufacturing industry, animal and vegetal wastes were affected. In paper industry, this affected paper and cardboard wastes and chemical wastes. For chemical industry, animal and vegetable wastes were affected, and in the metal industry, this was mainly mineral and chemical wastes. Also, some Eural codes of several companies were changed in the statistical process, to ensure that the waste was allocated to the right EWC-stat category.

Backfilling:

For this WstatR we have defined backfilling as deposition of waste in mines. With this definition, there is no back-filling in theNetherlands. There is, however, export of wastes that are back filled elsewhere.

Comparability over time

• Due to a change of data sources, dredging spoils arisings are not comparable from 2006 to 2008. And from 2008 to 2010
• Due to methodological changes, treatment data from the green listed wastes (EWC 06, 07 and 09) were not comparable from 2008 to 2010. We had hoped to streamline the method retrospectively later in 2012.
• Due to methodological changes, the method to estimate secondary wastes has changed in 2010 compared to 2008. This affects all waste arisings in NACE 38 and NACE 4677. This has been retrospectively adjusted for reference years.
• When we have finalized all the revisions, we hope to be able to do a delivery in Eural codes, as was asked by Eurostat

Statistics Netherlands publishes the data from the statistical surveys on municipal waste, industrial wastes, public waste water treatment facilities, end-of-life vehicles at the website called ‘statline’ (https://opendata.cbs.nl/). An abstract of the same data is also published for the Environmental Data Compendium (www.compendiumvoordeleefomgeving.nl).