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hazardous waste generated by households,

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non-hazardous waste generated by households,

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hazardous waste generated by enterprises (the total of all NACE categories),

—

non-hazardous waste generated by enterprises (the total of all NACE categories).

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hazardous waste used as fuel,

—

non-hazardous waste used as fuel,

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hazardous waste incinerated,

—

non-hazardous waste incinerated,

—

hazardous waste recovered,

—

non-hazardous waste recovered,

—

hazardous waste disposed of,

—

non-hazardous waste disposed of.

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Country

—

Reference year

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Data set(s)

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Transmission date

—

Name

—

Telephone number

—

Mail address

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Organisation and unit

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Survey,

—

Administrative sources,

—

Modelling,

—

Other (specify).

—

sample frame applied,

—

sampling scheme applied,

—

stratification (e.g. specify whether by size-class, NACE group, etc.),

—

sample volumes: specify the number of enterprises in a population and the number in the survey (per stratum if relevant),

—

coefficient of variation for the total amount of waste generated and the breakdown into four key aggregates. The denominator of the coefficient is the total amount of waste generated in the relevant aggregate; this includes the strata not estimated using sampling methods. In order to estimate the variation, the level of non-response should be taken into account,

—

coefficient of variation for the total amount of waste treated and the breakdown into eight key aggregates. The denominator of the coefficient is the total amount of waste treated in the relevant aggregate, including the strata not estimated using sampling methods. In order to estimate the variation, the level of non-response should be taken into account.

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For Annex I on waste generation: description of the method(s) applied to reach 100 % coverage;

—

For Annex II on waste treatment: description of the waste treatment facilities which are excluded from reporting and the reason for their exclusion;

—

Description of how the amount of commercial waste from enterprises/shops included in household waste is assessed; what method is used to estimate pure household waste;

—

Description of the main problems of misclassification, under-coverage and over-coverage encountered in collecting the data.

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Which statistical units are applied in which part of the data set? What is the outcome of the assessment of potential errors in the application of statistical units?

—

Errors in precision of quantities: the manner in which weighing and subsequent recording is carried out and the validation procedures applied to detect weighing errors should be described. What is the outcome of the error detection procedures in place?

—

A description of the information quality of the data collection instrument should be given. For instance, in the case of sample surveys with a questionnaire: was the questionnaire validated in a focus group? For administrative data: are there incentives in the reporting unit or in the administration itself for over-reporting, under-reporting or lags?

—

Summary of the processing steps between collection and production of statistics, including measures to detect and rectify processing errors;

—

Listing of processing errors identified, their extent and impact;

—

Coding errors in the coding of waste category, NACE-category, type of treatment operation and region. A description should be given of how the coding is carried out and what validation procedures are applied to detect coding errors. What is the outcome of the error detection procedures in place?

—

Percentage of the category ‘waste generated by households’ which actually originates from businesses. How is this misclassification assessed?

—

Response rate at the level of the key aggregates;

—

Description of the handling of non-responses (unit and item non-responses) in surveys;

—

Determination of expectancy of errors resulting from non-responses.

—

Description of models, assumptions connected with the model application and expected errors and how to cope with them;

—

Results of sensitivity analysis;

—

Sources used (refer to description of sources in Part I).

—

Description of the key data collection steps in the process of establishing the data sets in a timetable;

—

Description of the key data processing steps (e.g. starting and finishing dates for completeness, coding and plausibility checks, data validation and non-disclosure measures) in a timetable;

—

Description of the key publication steps in a timetable (e.g. when are the advanced and detailed results calculated, validated and disseminated).

—

the policy on dissemination of waste statistics,

—

the measures and tools to establish/improve clarity,

—

the relevant confidentiality policy.

—

In order to assess the comparability between national data generated using different methodologies, it is necessary for the impact of restrictions with regard to coverage and precision of the data to be clarified (based on elements of accuracy above);

—

How is the regional comparability of data on waste treatment facilities validated? What statistical unit is used? How are mobile waste treatment facilities handled?

—

Comparability over time: both changes relative to the previous reference period and anticipated changes in the next reference period should be reported. Details of changes in definitions, coverage or methods should be specified (refer to Part I). An evaluation of the consequences should be carried out.

—

The coherence of national dissemination with the data reported under the Regulation on waste statistics.

—

OECD/Eurostat Joint questionnaire,

—

Specific waste reporting obligations (end-of-life vehicles, waste from electrical and electronic equipment, packaging and packaging waste, waste shipment, etc.),

—

Integrated pollution prevention and control (IPPC) reporting,

—

Reporting to European Environmental Agency.

—

Trade Statistics,

—

Environment-Economic Accounting including National Accounts,

—

Production of structural indicators.

1.

Complete data sets

The completeness of the data sets is defined by the transmission format for statistics on waste (Commission Regulation (EC) No 782/2005 of 24 May 2005  (1)).

2.

Complete quality report

The completeness of the quality report is defined by this Regulation.

3.

Timeliness

The timeliness of the data sets and the accompanying quality report is defined by the Regulation on waste statistics (within 18 months of the end of the reference year).

4.

Proper application of definitions and classifications

The manual on waste statistics will lay down the common understanding of definitions and classifications.

5.

The application of sound statistical methods

The Regulation on waste statistics does not prescribe any particular method of drawing up waste statistics. The manual on waste statistics will provide guidance for good practice.