Crop production (apro_cp)

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

Compiling agency: FPS Economy SMEs, Self-Employed and Energy - Statbel (Directorate-general Statistics - 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

FPS Economy SMEs, Self-Employed and Energy - Statbel (Directorate-general Statistics - Statistics Belgium)
1.2. Contact organisation unit

Thematic Directorate Economie
1.5. Contact mail address

Boulevard du Roi Albert II, 16, North Gate III , 1000 Brussels, Belgium


2. Statistical presentation Top
2.1. Data description

Annual crop statistics provide statistics on the area under main arable crops, vegetables and permanent crops and production and yield levels. The statistics are collected from a wide variety of sources: surveys, administrative sources, experts and other data providers. The data collection covers early estimates (before the harvest) and the final data. Data are collected mostly at national level but for the main arable crops also regional data exist (NUTS 1/2 and agricultural area).
2.2. Classification system

Hierarchical crop classification system.
2.3. Coverage - sector

Growing of non-perennial crops, perennial crops and plant propagation (NACE A01.1-01.3)
2.4. Statistical concepts and definitions

See: Annual crop statistics Handbook
2.5. Statistical unit

Utilised agricultural area cultivated by an agricultural holding.
2.6. Statistical population

All agricultural holdings with growing crops.
2.7. Reference area

The entire territory of the country.
2.8. Coverage - Time

Crop year
2.9. Base period

Not applicable.


3. Statistical processing Top
3.1. Source data

  Source 1 Source 2 Source 3 Source 4
Have new data sources been introduced since the previous quality report?  NO      
If yes, which new data sources have been introduced since the previous quality report?
Type of source?
To which Table (Reg 543/2009) do they contribute?
Have some data sources been dropped since the previous quality report? NO      
Which data sources have been dropped since the previous quality report?
Type of source?
Why have they been dropped?
Additional comments


Data sources: Please indicate the data sources which were used for the reference year on which is reported

  Type Name(s) of the sources If other type, which kind of data source?
Table 1: Crops from arable land      
Early estimates for areas Administrative data

IACS

  
Final area under cultivation Administrative data

IACS
Production Survey
Expert estimate

 

expert  estimates for provisional productions (FEGRA: cereals and turnip ; FIWAP/PCA: potatoes and CBB: sugar beet)

Harvest survey for the final productions
Yield Survey

Harvest survey
Non-existing and non-significant crops Administrative data

IACS
Table 2: Vegetables, melons and strawberries       
Early estimates for harvested areas Administrative data
Expert estimate

IACS

Association of Belgian Horticultural Cooperatives (VBT) + auctions (vegetables, excluding strawberries) + Flemish Region + Statistics Belgium
Final harvested area Administrative data
Expert estimate

IACS

Association of Belgian Horticultural Cooperatives (VBT) + auctions (vegetables, excluding strawberries) + Flemish Region + Statistics Belgium
Production Expert estimate

Association of Belgian Horticultural Cooperatives (VBT) + auctions (vegetables, excluding strawberries) + Flemish Region + Statistics Belgium
Non-existing and non-significant crops Administrative data

IACS
Table 3: Permanent crops      
Early estimates for production area Administrative data
Expert estimate

IACS

Association of Belgian Horticultural Cooperatives (VBT) + auctions (fruit+strawberries) + Flemish Region + Statistics Belgium
Final production area Survey
Administrative data
Expert estimate

Horticultural survey for Wallonia

IACS for Flanders

Association of Belgian Horticultural Cooperatives (VBT) + auctions (fruit+strawberries) + Flemish Region + Statistics Belgium
Production Expert estimate

Association of Belgian Horticultural Cooperatives (VBT) + auctions (fruit+strawberries) + Flemish Region + Statistics Belgium
Non-existing and non-significant crops Administrative data

IACS
Table 4: Agricultural land use      
Main area Administrative data

IACS
Non-existing and non-significant crops Administrative data

IACS
Total number of different data sources

7

  
Additional comments

Until 2013 the provisional and final results were based on an annual survey that took place in two phases. The first phase was in August 2013 for the provisional results and the second phase for the final results took place in January 2014.

 

  Put x, if used
Surveyed: farmers report the humidy  X
Surveyed: farmers convert the production/yield into standard humidity       
Surveyed: whole sale purchasers report the humidy  
Surveyed: whole sale purchasers convert the production/yield into standard humidity       
Surveyed by experts (e.g. test areas harvested and measured)  
Estimated by experts  
Other type  
If other type, please explain  
Additional information

The humidity for cereals and pulses comes from the harvest survey. The humidity for green maize is an expert estimation.
   


Which method is used for calculating the yield for main arable crops?
If another method, describe it.

In the survey farmers can choose to fill in the yield or production. For farmers who filled in the production instead of the yield, the yield will be derived from the production.

For further calculations of the productions, the yields and cultivated areas have been used.




 
3.2. Frequency of data collection

  Source 1 Source 2 Source 3 Source 4 Source 5 Source 6 Source 7 Source 8 Source 9
Name of data source

IACS_provisional

IACS_final

Horticultural survey in Wallonia

Experts (vegetables, excluding strawberries)

Experts (fruit, including strawberries)

experts estimates - provisional crop production

Harvest survey for agricultural crops_final
Planning (month-month/year)

06/2022

12/2022

01/2022

03/2023

 

11/2022 and 07/2023

07/2022
Preparation (month-month/year)

06/2022

12/2022

04-09/2022

 

09/2022-12/2022
Data collection (month-month/year)

06/2022 - 07/2022

 

12/2022

10/2022 -02/2023

 

09/2022

01/2023 - 02/2023
Quality control (month-month/year)

11/2022 - 05/2023

01/2023 - 04/2023
Data analysis (month-month/year)

07/20222- 08/2022

01/2023-03/2023

01/2023 - 03/2023

 

02/2023  -05/2023
Dissemination (month-month/year)

07/2022- 08/2022

05/2023 - 06/2023

05/2023 - 06/2023

07/2023

 

11/2022 and 07/2023

09/2022 

06/2023
If there were delays, what were the reasons?

delays of delivery of IACS data

delays of delivery of IACS data

Every year the Flemish Region organizes a meeting with the auctions to estimate the area and production of vegetables.  Normally the meeting takes place in March but sometimes  it is later. Statistics Belgium has the permission to use these results.

Two times in a year (November Y and  Y+1) the Flemish Region organizes a meeting with the auctions to estimate the area and production of fruit and strawberries.






 
3.3. Data collection

Definitions Question In case yes, how do they differ?
Do national definitions differ from the definitions in Article 2 of Regulation (EC) No 543/2009? YES

The harvest area is the same as the cultivated area, but for the calculation of the production we take into account the losses causes by harvest failures.
Are there differences between the national methodology and the methodology described in the Handbook concerning e.g. the item and aggregate calculations? NO
Are special estimation/calculation methods used for main crops from arable land? NO
Are special estimation/calculation methods used for vegetables or strawberries? NO
Are special estimation/calculation methods used for permanent crops for human consumption? NO
Are special estimation/calculation methods used for main land use? NO
Do national crop item definitions differ from the definitions in the Handbook  (D-flagged data)? NO  
In case yes, how do they differ? ( list all items and explanations)
In case data are delivered for one of the items below, describe the crop species included in the item: C1900 - Other cereals n.e.c. (buckwheat, millet, etc.)
P9000 - Other dry pulses and protein crops n.e.c.
R9000 - Other root crops n.e.c.
I1190 -Other oilseed crops n.e.c
I9000 - Other industrial crops n.e.c.
I2900 - Other fibre crops n.e.c.
G2900 - Other leguminous plants harvested green n.e.c.
G9900 - Other plants harvested green from arable land n.e.c.
V1900 - Other brassicas n.e.c.
F3900 - Other berries n.e.c.

C1900 - Other cereals n.e.c. (buckwheat, millet, etc.): sorghum (very small area), quinoa (very small area), millet, canary seed, mixed cereals. and buckwheat
P9000 - Other dry pulses and protein crops n.e.c.: mixed protein crops, mixtures of protein crops and cereals, lupines, vetches, other protein crops
R9000 - Other root crops n.e.c.: fodder beet, swedes, fodder carrot, other root crops.
I1190 -Other oilseed crops n.e.c: sunflower seeds (very small area), soja (very small area), other oilseed crops
I9000 - Other industrial crops n.e.c: miscanthus, other industrial crops
G2900 - Other leguminous plants harvested green n.e.c: clover, other leguminous plants
G9900 - Other plants harvested green from arable land n.e.c:fodder kale, other annual fodder.
V1900 - Other brassicas n.e.c:kohl-rabi, Chinese cabbage, kale
I2900 - Other fibre crops n.e.c: -
F3900 - Other berries n.e.c:gooseberries, kiwiberry, blackberries


Population

Which measures were taken in order to make sure that the requirement stipulated in Art. 3.2 are met?
(Statistics shall be representative of at least 95 % of the areas of each table in the Regulation).

We are using the administrative data of IACS
Is the data collection based on holdings? YES
If yes, how the holdings were identified? Unique statistical farm identifier
If not, on which unit the data collection is based on?
When was last update of the holding register? (month/year)

every year in February
Was a threshold applied? NO
If yes, size of the excluded area  Area excluded on the basis of the threshold in % of the total area for that crop
Cereals for the production of grain (in %)
Dried pulses and protein crops (in %)
Root crops (in %)
Oilseeds (in %)
Other industrial crops (included all industrial crops besides oilseeds)  (in %)
Plants harvested green from arable land (in %)
Total vegetables, melons and strawberries (in %)
Cultivated mushrooms (in %)
Total permanent crops (in %)
Fruit trees (in %)
Berries (in %)
Nut trees (in %)
Citrus fruit trees (in %)
Vineyards (in %)
Olive trees (in %)


Survey method (only for census and surveys)

  Survey 1  Survey 2 Survey 3  Survey 4 Survey 5  Survey 6 Survey 7
Name of the survey

Horticultural survey in Wallonia

Harvest survey for agricultural crops
Which survey method was used? On-line electronic questionnaire filled in by respondent
Postal questionnaire filled in by respondent		 On-line electronic questionnaire filled in by respondent
Postal questionnaire filled in by respondent
If 'other', please specify
Please provide a link to the questionnaire
Data entry method, if paper questionnaires? Manual Manual


Administrative data (This question block is only for administrative data)

  Admin source 1 Admin source 2 Admin source 3 Admin source 4 Admin source 5 Admin source 6
Name of the register

IACS
Description
Data owner (organisation)

Regional administrations responsible for agriculture
Update frequency Once per year or more often
Reference date (month/year)

March 2022  for the Walloon declarations and April 2022 for the Flemish declarations.
Legal basis

See NMR IFS2020
Reporting unit

Holding
Identification variable (e.g. address, unique code, etc.)

unique code
Percentage of mismatches (%)
How were the mismatches handled?
Degree of coverage (holdings, e.g. 80%)
Degree of completeness (variables, e.g. 60%)
If not complete, which other sources were used ?
Were the data used for sample frame? Sample frame
Validation
Directly for estimates
Data used for other purposes, which?
Which variables were taken from administrative sources?

All crop data except detailed area for vegetables, fruit and ornamental crops in Wallonia.
Were there any differences in the definition of the variables between the administrative source and those described in the Regulation? NO
Please describe the differences
What measures were taken to eliminate the differences?
How was the reliability, accuracy and coherence (comparison to other available data) of the data originated from administrative data source (ante- and/or ex-post) checked?
What were the possible limitations, drawbacks of using the data from administrative source(s)?


Expert estimations (This question block is only for expert estimates)

  Expert estimate 1 Expert estimate 2 Expert estimate 3 Expert estimate 4 Expert estimate 5 Expert estimate 6
Name of the estimation

Estimation of the area and production of vegetables (excluding strawberries)

Estimation of the area and production of fruit (including strawberries)

Estimation of the provisional production for cereals and turnip

Estimation of the provisional production for potatoes and provisional area if the provisional area of IACS is not still available.

Estimation of the provisional production for sugar beet and provisional area if the provisional area of IACS is not still available.
Data owner (organisation)

Association of Belgian Horticultural Cooperatives (VBT)+auctions  (vegetables)+Flemish Region

Association of Belgian Horticultural Cooperatives (VBT)+auctions (fruit) +Flemish Region

FEGRA (SYNAGRA)

FIWAP/PCA

CBB
Update frequency (e.g. 1 year or 6 months) Yearly 2 times per year Yearly Yearly Yearly
Reference date (Month/Year  e.g. 1/22 - 8/22)

03/2022

 

11/2022 and 07/2023

September 2022

September 2022

September 2022
Legal basis
Use purpose of the estimates?

Final estimation of the area and production of vegetables  for 2022 and forecast of the area  for 2023.

Final estimations of the area and production of fruit for 2022 and forecast of the area and production for 2023.
What kind of expertise the experts have?

Association of Belgian Horticultural Cooperatives (VBT)+auctions (vegetables, excluding strawberries).

Association of Belgian Horticultural Cooperatives (VBT)+auctions (fruit+strawberries)
What kind of estimation methods were used?

The calculation of the final productions of vegetables is based on the delivered quantities to the auctions. Other factors are also taking into account such as the weather, prices, contracts…

The calculation of the final productions of vegetables is based on the delivered quantities to the auctions. Other factors are also taking into account such as the weather, prices, contracts…
Were there any differences in the definition of the variables between the experts' estimates and those described in the Regulation? NO NO NO NO NO
If yes, please describe the differences
What measures were taken to eliminate the differences?
How were the reliability, accuracy and coherence (comparison to other available data) of the data originated from experts' estimates (ante- and/or ex-post)checked?
What were the possible limitations, drawbacks of using the data from expert estimate(s)?
Additional comments

Statistics Belgium recieves only the results of the estimations.

Statistics Belgium recieves only the results of the estimations.

Statistic Belgium receives only their estimated yield

Statistic Belgium receives only their estimated yield

Statistic Belgium receives only their estimated yield


 
3.4. Data validation

Which kind of data validation measures are in place? Automatic and Manual
What do they target? Completeness
Outliers
Aggregate calculations
Other
Is the data cross-validated against an other dataset? NO
If yes, which kind of dataset?
If other, please describe






 
3.5. Data compilation

Not Applicable.
3.6. Adjustment

Not Applicable.


4. Quality management Top
4.1. Quality assurance

  Completeness Punctuality Accuracy Reliability Overall quality
How would you describe the overall quality development since the previous quality report? Improvement Stable Improvement Stable Improvement
Is there a quality management process in place for crop statistics? NO        
If, yes, what are the components?        
Is there a quality report available? NO        
If yes, please provide a link(s)        
To which data source(s) is it linked?
       
Has a peer-review been carried out for crop statistics? NO        
If, yes, which were the main conclusions?        
What quality improvement measures are planned for the next 3 years?        
If, other, please specify        
Additional comments        






 
4.2. Quality management - assessment

See the European level quality report.


5. Relevance Top
5.1. Relevance - User Needs

Are there known unmet user needs? NO
Describe the unmet needs
Does the Regulation 543/2009 meet the national data needs? YES
Does the ESS agreement meet the national needs?
If not, which additional data are collected?
Additional comments






 
5.2. Relevance - User Satisfaction

Have any user satisfaction surveys been done? NO
If yes, how satisfied the users were?
Additional comments






 
5.3. Completeness

See the European level quality report.
5.3.1. Data completeness - rate

See the European level quality report.


6. Accuracy and reliability Top


Annexes:
Form harvest survey 2022
Form survey 2022 horticulture Wallonia.
6.1. Accuracy - overall

See the European level quality report.
6.2. Sampling error

Sampling method and sampling error

  Survey 1 Survey 2 Survey 3 Survey 4 Survey 5 Survey 6 Survey 7
Name

Harvest survey for agricultural crops

Hortical survey (Wallonia)
Sampling basis? Area Area
If 'other', please specify
Sampling method? Other Other
If stratified, number of strata?
If stratified, stratification basis?
If 'other', please specify

First, the Belgian territory is divided into cells which are defined as the intersection of provinces (NUTS2) and agricultural regions.

Then, 1400 holdings are selected. The number of holdings in each cell is proportional to the square root of the (agricultural area utilized – grassland) of each cell. For each cell we establish a classification of the holdings taking into account the total area of eligible crops and the total number of eligible crops in the cell. Subsequently, we select the first holdings of the list to the amount of each cell. The remaining holdings are used to increase the representativeness for the crops with a little area and to account for the annual increase in non-response.

census in Wallonia
Size of total population

32711

36022
Size of sample

1920

919
Which methods were used to assess the sampling error? 
If other, which?
Which methods were used to derive the extrapolation factor? 
If other, which?
If CV (co-efficient of variation) was calculated, please describe the calculation methods and formulas
If the results were compared with other sources, please describe the results
Which were the main sources of errors?


Sampling error - indicators

Not applicable


Coefficient of variation (CV) for the area (on the MS level)

  Survey 1  Survey 2 Survey 3  Survey 4 Survey 5  Survey 6 Survey 7
Name of the survey
Cereals for the production of grain (in %)
Dried pulses and protein crops (in %)
Root crops (in %)
Oilseeds (in %)
Other industrial crops (included all industrial crops besides oilseeds)  (in %)
Plants harvested green from arable land (in %)
Total vegetables, melons and strawberries (in %)
Cultivated mushrooms (in %)
Total permanent crops (in %)
Fruit trees (in %)
Berries (in %)
Nut trees (in %)
Citrus fruit trees (in %)
Vineyards (in %)
Olive trees (in %)
Additional comments            




 
6.3. Non-sampling error
6.3.1. Coverage error

Over-coverage - rate

not applicable


Common units - proportion

not applicable


  Data source 1 Data source 2 Data source 3 Data source 4 Data source 5 Data source 6 Data source 7 Data source 8 Data source 9
Name of the data source
Error type No error No error
Degree of bias caused by coverage errors
What were the reasons for coverage errors?
Which actions were taken for reducing the error or to correct the statistics?
Additional comments




 
6.3.2. Measurement error

  Data source 1 Data source 2 Data source 3 Data source 4 Data source 5 Data source 6 Data source 7 Data source 8 Data source 9
Name of the data source

Horticultural survey (only Wallonia)

Harvest survey for agricultural crops
Was the questionnaire based on usual concepts for respondents? YES YES
Number of surveys already performed with the current questionnaire (or a slightly amended version of it)?

8

24
Preparatory (field) testing of the questionnaire? NO NO
Number of units participating in the tests? 
Explanatory notes/handbook for surveyors/respondents?  YES YES
On-line FAQ or Hot-line support for surveyors/respondents? YES YES
Were pre-filled questionnaires used? NO YES
Percentage of pre-filled questions out of total number of questions

0

0
Were some actions taken for reducing the measurement error or to correct the statistics? YES YES
If yes, describe the actions and their impact

When the values were too high or when there are missing values we contact the farmer.

When the values were too high or when there are missing values we contact the farmer.






 
6.3.3. Non response error

Unit non-response - rate

Not applicable


Item non-response - rate

Not applicable


  Survey 1 Survey 2 Survey 3 Survey 4 Survey 5 Survey 6 Survey 7
Name

Horticultural survey

Harvest survey
Unit level non-response rate (in %)

17%

24%
Item level non-response rate (in %)              
               - Min% / item
               - Max% / item
               - Overall%
Was the non-response been treated ? YES NO
Which actions were taken to reduce the impact of non-response?

Written and telephone reminders, contacting farmers who have partially completed the questionnaires.
Which items had a high item-level non-response rate? 
Which methods were used for handling missing data?
(several answers allowed)		 Follow-up interviews
Reminders
Imputations		 Follow-up interviews
Reminders
In case of imputation which was the basis? Imputation based on the same unit in previous data
Imputation based on other sources
In case of imputation, which was the imputation rate (%)?

17%
Estimated degree of bias caused by non-response? None None
Which tools were used for correcting the data?

SAS and Blaise

SAS and Blaise
Which organisation did the corrections?

Statistics Belgium

Statistics Belgium
Additional comments




 
6.3.4. Processing error

Not applicable.
6.3.4.1. Imputation - rate

Not applicable.
6.3.5. Model assumption error

Not applicable.
6.4. Seasonal adjustment

Not applicable.
6.5. Data revision - policy

Not applicable.
6.6. Data revision - practice

Not applicable.
6.6.1. Data revision - average size

Not applicable.


7. Timeliness and punctuality Top
7.1. Timeliness

Time lag - first result


Time lag - final result


  Cereals Dried pulses and protein crops Root crops Oilseeds Other industrial crops Plants harvested green Vegetables and melons Strawberries Cultivated mushrooms Fruit trees Berries Nut trees Citrus fruit trees Vineyards Olive trees
How many main data releases there are yearly in the national crop statistics for the following types of crops?

area: 2

production: 2

area: 2

production: 1

area: 2

production: 2

area: 2

production: 2

area: 2

production: 1

area: 2

production: 2

area: 1

 

area: 0

production: 0

area: 1

production: 0

area: 1

production: 0

area: 1

production: 0

area: 1

production: 0
How many of them are forecasts (releases before the harvest)?

production: 1

production: 1

production: 1

area: 1

production: 0
When was the first  forecasting published for the crop year on which is reported? (day/month/year) 10/11/2022 10/11/2022 10/11/2022
When were the final results published for the crop year on which is reported? (day/month/year) 04/05/2023 04/05/2023 04/05/2023 04/05/2023 04/05/2023 04/05/2023
Additional comments

publication final area: 18/04/2023

publication final production: 04/05/2023

publication final area: 18/04/2023

publication final production: 04/05/2023

publication final area: 18/04/2023

publication final production: 04/05/2023

 

publication final area: 18/04/2023

publication final production: 04/05/2023

 

publication final area: 18/04/2023

publication final production: 04/05/2023

publication final area: 18/04/2023

publication final production: 04/05/2023

publication final area: 04/05/2023

publication final production: no national publication for 2022

publication final area: 04/05/2023

publication final production: no national publication for 2022

publication final area: 04/05/2023

publication final production: no national publication for 2022

publication final area: 04/05/2023

publication final production: no national publication for 2022

publication final area: 04/05/2023

publication final production: no national publication for 2022

publication final area: 04/04/2020

publication final production: no national publication for 2019




 
7.2. Punctuality
7.2.1. Punctuality - delivery and publication


8. Coherence and comparability Top
8.1. Comparability - geographical

Not applicable.
8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.
8.2. Comparability - over time

Length of comparable time series


  Crops from arable land
(Table 1)		 Vegetables, melons and strawberries (Table 2) Permanent crops
(Table 3)		 Agricultural land use
(Table 4)
Have there been major breaks in the time series in the previous 5 years? NO NO NO NO
If yes, to which were they related?
If other, which?
Which items were affected?
Year of break (number)
Impact on comparability
Additional comments





 
8.2.1. Length of comparable time series
8.3. Coherence - cross domain

With which other data sources the crop statistics data have been compared?  None
If others, which?
If no comparisons have been made, why not?

All those different sources have been used to calculate the results for each item. E.g. the administrative data and the horticultural survey were used in the IFS and the annual crop statistics. The results of the IFS and annual crop statistics are used for the national accounts. So, there is no overlap between the different statistics.


Differences between ACS and other data sources (%)

Results of comparisons IFS 2020 Vineyard survey 2020 IACS Other source(s)  In case of other sources, which?
Cereals    

0%/2022
Dried pulses and protein crops    

0%/2022

 
Root crops    

0%/2022

 
Oilseeds    

0%/2022
Other industrial crops (than oilseeds)    

0%/2022
Plants harvested green    

0%/2022

 
Total vegetables, melons and strawberries    

19.8%/2022
Vegetables and melons    

20%/2022

 
Strawberries    

11.3%/2022

 
Cultivated mushrooms  
Total permanent crops  

-2.4%/2022
Fruit trees

-2.3%/2022
Berries  

-5%/2022
Nut trees  

0%/2022
Citrus fruit trees

Not applicable.
Vineyards

0%/2022
Olive trees

Not applicable.
If there were considerable differences, which factors explain them?

The area for the vegetables and strawberries in the administrative sources is recorded only once while the annual crop statistics take into account the area as many times it is cropped.

  





 
8.4. Coherence - sub annual and annual statistics

Not applicable.
8.5. Coherence - National Accounts

Not applicable.
8.6. Coherence - internal

Not applicable.


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

Availability Links
NO






 
9.2. Dissemination format - Publications

  Availability Links
Publications Electronic

http://statbel.fgov.be
Publications in English None






 
9.3. Dissemination format - online database

Data tables - consultations


  Availability Links
On-line database accessible to users NO
Website None





 
9.4. Dissemination format - microdata access

Availability Links
NO






 
9.5. Dissemination format - other
9.6. Documentation on methodology

  Availability Links
Methodological report
Quality Report
Metadata National language

http://statbel.fgov.be
Additional comments  






 
9.7. Quality management - documentation

Not applicable.
9.7.1. Metadata completeness - rate

Not applicable.
9.7.2. Metadata - consultations

Not applicable.


10. Cost and Burden Top

Efficiency gains if compared to the previous quality report?
If other, which?
Burden reduction measures since the previous reference year 
If other, which?






 


11. Confidentiality Top
11.1. Confidentiality - policy
Restricted from publication
11.2. Confidentiality - data treatment
Restricted from publication


12. Comment Top


Related metadata Top


Annexes Top
Form harvest survey 2022 _ French
Form harvest survey 2022_German