Waste generation and treatment (env_wasgt)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: Statistics Belgium


Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)
 



For any question on data and metadata, please contact: Eurostat user support

Download


1. Contact Top
1.1. Contact organisation

Statistics Belgium

1.2. Contact organisation unit

Thematic Direction Territory

1.5. Contact mail address

Koning Albert II Laan 16, 1000 Brussels, Belgium


2. Statistical presentation Top
2.1. Data description

Data are partly based on surveys, administrative data and estimations

2.2. Classification system

EWC-STAT4 for type of waste, NACE rev 2 for the economical sectors

2.3. Coverage - sector

All economical sectors + households

2.4. Statistical concepts and definitions

We used the concepts and definitions as demanded in the manual

2.5. Statistical unit

Households and local units

2.6. Statistical population

The population includes all economical activities + households

2.7. Reference area

Belgium

2.8. Coverage - Time

One year

2.9. Base period

2020


3. Statistical processing Top
3.1. Source data

Surveys in all economical sectors, administrative data for capacities, waste treatment, households, services and waste treatment sector

3.2. Frequency of data collection

Every two years

3.3. Data collection

Survey every two years + administrative data

3.4. Data validation

Validation happens by the validations service, especially based on historical data

3.5. Data compilation

For several data points, the final result was the aggregation of data from three regions. For the industrial sector for instance, data from the flanders region were added to data from our survey in Wallonia and Brussels to obtain the Belgian total.

3.6. Adjustment

Adjustments can be made if data seem incorrect


4. Quality management Top
4.1. Quality assurance

Through the whole process the highest possible quality is the aim

4.2. Quality management - assessment

Through the whole process the highest possible quality is the aim


5. Relevance Top
5.1. Relevance - User Needs

We think we fulfill the user needs

5.2. Relevance - User Satisfaction

Users seem te be satisfied by our waste statistics, although a higher quality must be the aim

5.3. Completeness

Data are complete

5.3.1. Data completeness - rate

100%


6. Accuracy and reliability Top
6.1. Accuracy - overall

not applicable

6.2. Sampling error

not applicable

6.2.1. Sampling error - indicators

not applicable

6.3. Non-sampling error

not applicable

6.3.1. Coverage error

None

6.3.1.1. Over-coverage - rate

None

6.3.1.2. Common units - proportion

not applicable

6.3.2. Measurement error

When there's suspicion that measurement errors are made, data are evaluated again

6.3.3. Non response error

not applicable

6.3.3.1. Unit non-response - rate

not applicable

6.3.3.2. Item non-response - rate

not applicable

6.3.4. Processing error

When there's suspicion that processing errors are made, data are evaluated again

6.3.4.1. Imputation - rate

No imputation is done

6.3.5. Model assumption error

not applicable

6.4. Seasonal adjustment

None

6.5. Data revision - policy

Data are revised when there are updates or errors found

6.6. Data revision - practice

Data are revised when there are updates or errors found

6.6.1. Data revision - average size

not applicable


7. Timeliness and punctuality Top
7.1. Timeliness

t+18 months

7.1.1. Time lag - first result

18 months

7.1.2. Time lag - final result

Updates or corrections are always possible

7.2. Punctuality

Delivery was made on time

7.2.1. Punctuality - delivery and publication

Delivery was on time, publication will occur in September


8. Coherence and comparability Top
8.1. Comparability - geographical

Concepts and definitions are same for the three geographical units (regions)

8.1.1. Asymmetry for mirror flow statistics - coefficient

not applicable

8.2. Comparability - over time

We aim to use the same sources and methodologies for every reporting

8.2.1. Length of comparable time series

Time series are available from 2004 on

8.3. Coherence - cross domain

Coherence could be enhanced when data from other reportings will be used

8.4. Coherence - sub annual and annual statistics

Everything is coherent

 

8.5. Coherence - National Accounts

-N/A

8.6. Coherence - internal

Everything is coherent


9. Accessibility and clarity Top
9.1. Dissemination format - News release

Data are published approximately three months after they were send to Eurostat

9.2. Dissemination format - Publications

Data are published on our website statbel.fgov.be

9.3. Dissemination format - online database

Data are available on statbel.fgov.be

9.3.1. Data tables - consultations

+/- 20.000 pageviews per year for all waste related data

9.4. Dissemination format - microdata access

Micro data are available after the demand passes authorisation

9.5. Dissemination format - other

not applicable

9.6. Documentation on methodology

Some information methodology is available on the website

9.7. Quality management - documentation

Documents are available after request

9.7.1. Metadata completeness - rate

Close to 100%

9.7.2. Metadata - consultations

not applicable


10. Cost and Burden Top

It takes approximately one hour for respondents to answer the survey, no additional costs are made


11. Confidentiality Top
11.1. Confidentiality - policy

Before data are published they pass another validation procedure. Data are published on a whole, but also aggregated in larger groups of waste types and NACEs. When in certain NACES the number of companies is too low they should be left out because of confidentiality.

11.2. Confidentiality - data treatment

Before data are published they pass another validation procedure. Data are published on a whole, but also aggregated in larger groups of waste types and NACEs. When in certain NACES the number of companies is too low they should be left out because of confidentiality.


12. Comment Top

None


Related metadata Top


Annexes Top