Crop production (apro_cp)

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

Compiling agency: State Statistical Office of Republic of North Macedonia


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

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1. Contact Top
1.1. Contact organisation

State Statistical Office of Republic of North Macedonia
1.2. Contact organisation unit

Sector of agricultural statistics and environmental statistics/Department for Agricultural Statistics, Forestry Statistics, Hunting and Fishery Statistics and Farm Register
1.5. Contact mail address

Dame Gruev 4, Skopje


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 some crops also regional data exist (NUTS1/2).
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 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?       
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?      
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 Expert estimate

Ministry of Agriculture, Forestry and Water Economy

  
Final area under cultivation Census
Expert estimate

Survey on sown area at the end of spring - enterprises

Survey on sown area at the end of spring - individual sector
Production Census
Expert estimate

Survey on production and yield of early crops and fruits-enterprises; Survey on production and yield of late crops, fruits and grapes - enterprises

Survey on production and yield of early crops and fruits - individual sector; Survey on production and yield of late crops, fruits and grapes - individual sector
Yield Census
Expert estimate

Survey on production and yield of early crops and fruits-enterprises; Survey on production and yield of late crops, fruits and grapes - enterprises

Survey on production and yield of early crops and fruits - individual sector; Survey on production and yield of late crops, fruits and grapes - individual sector
Non-existing and non-significant crops Census
Expert estimate

Survey on sown area at the end of spring - enterprises

Survey on sown area at the end of spring - individual sector
Table 2: Vegetables, melons and strawberries       
Early estimates for harvested areas Expert estimate

Ministry of Agriculture, Forestry and Water Economy
Final harvested area Census
Expert estimate

Survey on production and yield of early crops and fruits-enterprises; Survey on production and yield of late crops, fruits and grapes - enterprises

Survey on production and yield of early crops and fruits - individual sector; Survey on production and yield of late crops, fruits and grapes - individual sector
Production Census
Expert estimate

Survey on production and yield of early crops and fruits-enterprises; Survey on production and yield of late crops, fruits and grapes - enterprises

Survey on production and yield of early crops and fruits - individual sector; Survey on production and yield of late crops, fruits and grapes - individual sector
Non-existing and non-significant crops Census
Expert estimate

Survey on sown area at the end of spring - enterprises

Survey on sown area at the end of spring - individual sector
Table 3: Permanent crops      
Early estimates for production area Expert estimate

Ministry of Agriculture, Forestry and Water Economy
Final production area Census
Expert estimate

Survey on production and yield of early crops and fruits-enterprises; Survey on production and yield of late crops, fruits and grapes - enterprises

Survey on production and yield of early crops and fruits - individual sector; Survey on production and yield of late crops, fruits and grapes - individual sector
Production Census
Expert estimate

Survey on production and yield of early crops and fruits-enterprises; Survey on production and yield of late crops, fruits and grapes - enterprises

Survey on production and yield of early crops and fruits - individual sector; Survey on production and yield of late crops, fruits and grapes - individual sector
Non-existing and non-significant crops Census
Expert estimate

Survey on sown area at the end of spring - enterprises

Survey on sown area at the end of spring - individual sector
Table 4: Agricultural land use      
Main area Census
Expert estimate

Survey on sown area at the end of spring - enterprises

Survey on sown area at the end of spring - individual sector
Non-existing and non-significant crops Census
Expert estimate

Survey on sown area at the end of spring - enterprises

Survey on sown area at the end of spring - individual sector
Total number of different data sources

3

3

  
Additional comments

Data source for the humidity

Put x, if used

Surveyed: farmers report the humidity

 

Surveyed: farmers convert the production/yield into standard humidity     

 

Surveyed: whole sale purchasers report the humidity

 

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

 
   


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




 
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

Survey on sown area at the end of spring - enterprises

Survey on production and yield of early crops and fruits - enterprises

Survey on production and yield of late crops, fruits and grapes - enterprises

Survey on sown area at the end of spring - individual sector

Survey on production and yield of early crops and fruits  -individual sector

Survey on production and yield of late crops, fruits and grapes - individual sector
Planning (month-month/year)

(01/2022)

(01/2021)

(01/2021)

(01/2021)

(01/2021)

(01/2022)
Preparation (month-month/year)

(03-04/2021)

(03-04/2021)

(09/2021)

(03-04/2021)

(03-04/2021)

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

 05-06.2022

(08-09/2021)

(10-12/2021)

(05-06/2021)

(08-09/2021)

(10-12/2022)
Quality control (month-month/year)

(07-09/2021)

(09-10/2021)

(12-01/2022-2023)

(07-09/2022)

(09-10/2022)

(12-01/2021-2022)
Data analysis (month-month/year)

(10-03/2022-2023)

(11-03/2021-2022)

(01-03/2023)

(10-03/2021-2022)

(11-03/2021-2022)

(01-03/2023)
Dissemination (month-month/year)

(04-06/2023)

(04-06/2023)

(04-06/2023)

(04-06/2023)

(04-06/2023)

(04-06/2023)
If there were delays, what were the reasons?






 
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

Difference in UAA - Non-used agricultural area and reed landsare included in Total agricultural area
Are there differences between the national methodology and the methodology described in the Handbook concerning e.g. the item and aggregate calculations?
Are special estimation/calculation methods used for main crops from arable land?
Are special estimation/calculation methods used for vegetables or strawberries?
Are special estimation/calculation methods used for permanent crops for human consumption?
Are special estimation/calculation methods used for main land use?
Do national crop item definitions differ from the definitions in the Handbook  (D-flagged data)?  
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:


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).

Over 90% of the area and production is based on individual sector, and the surveys for individual sector have total coverage (at the settlement level)
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?

Assessment unit (equal to settlement) for individual sector
When was last update of the holding register? (month/year)

August 2015
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

Survey on sown area at the end of spring - enterprises

Survey on production and yield of early crops and fruits - enterprises

Survey on production and yield of late crops, fruits and grapes - enterprises

Survey on sown area at the end of spring - individual sector

Survey on production and yield of early crops and fruits - individual sector

Survey on production and yield of late crops, fruits and grapes - individual sector
Which survey method was used? On-line electronic questionnaire filled in by respondent
Postal questionnaire filled in by respondent
Telephone interview, paper questionnaire
Telephone interview, electronic questionnaire		 On-line electronic questionnaire filled in by respondent
Postal questionnaire filled in by respondent
Telephone interview, paper questionnaire
Telephone interview, electronic questionnaire		 On-line electronic questionnaire filled in by respondent
Postal questionnaire filled in by respondent
Telephone interview, paper questionnaire
Telephone interview, electronic questionnaire		 Other Other Other
If 'other', please specify

Assessment of areas, yield and production by assessors/field experts

Assessment of areas, yield and production by assessors/field experts

Assessment of areas, yield and production by assessors/field experts
Please provide a link to the questionnaire

http://www.stat.gov.mk/obrasci/Zemjodelstvo/ZE_22a.pdf

http://www.stat.gov.mk/obrasci/Zemjodelstvo/ZE_32A.pdf

http://www.stat.gov.mk/obrasci/Zemjodelstvo/ZE_33a.pdf

http://www.stat.gov.mk/obrasci/Zemjodelstvo/ZE_22b.pdf

http://www.stat.gov.mk/obrasci/Zemjodelstvo/ZE_32b.pdf

http://www.stat.gov.mk/obrasci/Zemjodelstvo/ZE_33b.pdf
Data entry method, if paper questionnaires? Manual Manual Manual Manual 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
Description
Data owner (organisation)
Update frequency
Reference date (month/year)
Legal basis
Reporting unit
Identification variable (e.g. address, unique code, etc.)
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?
Data used for other purposes, which?
Which variables were taken from administrative sources?
Were there any differences in the definition of the variables between the administrative source and those described in the Regulation?
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

Early estimates for crop production
Data owner (organisation)

Ministry of Agriculture Forestry and Water Economy (MAFWE)
Update frequency (e.g. 1 year or 6 months)
Reference date (Month/Year  e.g. 1/22 - 8/22)
Legal basis
Use purpose of the estimates?
What kind of expertise the experts have?
What kind of estimation methods were used?

Assessment of areas, yield and production by MAFWE personnel
Were there any differences in the definition of the variables between the experts' estimates and those described in the Regulation?
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


 
3.4. Data validation

Which kind of data validation measures are in place? Manual
What do they target? Completeness
Outliers
Aggregate calculations
Is the data cross-validated against an other dataset? YES
If yes, which kind of dataset? Previous results
If other, please describe






 
3.5. Data compilation

Not relevant.
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?
Is there a quality management process in place for crop statistics? YES        
If, yes, what are the components?

Control of assessors; mathematical and logical check during data processing; comparison with previous results; comparison with administrative data

        
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? Increase of resources
Systematic validation improvements		        
If, other, please specify        
Additional comments        






 
4.2. Quality management - assessment

Refer to 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
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
Sampling basis?
If 'other', please specify
Sampling method?
If stratified, number of strata?
If stratified, stratification basis?
If 'other', please specify
Size of total population
Size of sample
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

Survey on sown area at the end of spring-enterprises

Survey on production and yield of early crops and fruits-enterprises

Survey on production and yield of late crops, fruits and grapes-enterprises

Survey on sown area at the end of spring-individual sector (expert estimates at the level of settlement): Under-coverage /over-coverage

Survey on production and yield of early crops and fruits-individual sector  (expert estimates at the level of settlement)

Survey on production and yield of late crops, fruits and grapes-individual sector (expert estimates at the level of settlement)
Error type Under-coverage
Over-coverage		 Under-coverage
Over-coverage		 Under-coverage
Over-coverage		 Under-coverage
Over-coverage		 Under-coverage
Over-coverage		 Under-coverage
Over-coverage
Degree of bias caused by coverage errors Low Low Low Low Low Low
What were the reasons for coverage errors?

Newly established entities, entities with ceased activities, overlapping UAA with family farms

Newly established entities, entities with ceased activities, overlapping UAA with family farms

Newly established entities, entities with ceased activities, overlapping UAA with family farms

Overlapping UAA with family farms

Overlapping UAA with family farms

Overlapping UAA with family farms
Which actions were taken for reducing the error or to correct the statistics?

Check with cadastral data and other administrative sources

Check with cadastral data and other administrative sources

Check with cadastral data and other administrative sources

Check with cadastral data and other administrative sources

Check with cadastral data and other administrative sources

Check with cadastral data and other administrative sources
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

Survey on sown area at the end of spring-enterprises

Survey on production and yield of early crops and fruits-enterprises

Survey on production and yield of late crops, fruits and grapes-enterprises

Survey on sown area at the end of spring-individual sector (expert estimates at the level of settlement)

Survey on production and yield of early crops and fruits-individual sector  (expert estimates at the level of settlement)

Survey on production and yield of late crops, fruits and grapes-individual sector (expert estimates at the level of settlement)
Was the questionnaire based on usual concepts for respondents? YES YES YES YES YES YES
Number of surveys already performed with the current questionnaire (or a slightly amended version of it)?

6

6

6

6

6

6
Preparatory (field) testing of the questionnaire? NO NO NO NO NO NO
Number of units participating in the tests? 
Explanatory notes/handbook for surveyors/respondents?  YES YES YES YES YES YES
On-line FAQ or Hot-line support for surveyors/respondents? NO NO NO NO NO NO
Were pre-filled questionnaires used? NO NO NO NO NO NO
Percentage of pre-filled questions out of total number of questions
Were some actions taken for reducing the measurement error or to correct the statistics? YES YES YES YES YES YES
If yes, describe the actions and their impact

Checking the previous results, validation rules

Checking the previous results, validation rules

Checking the previous results, validation rules

Checking the previous results, validation rules

Checking the previous results, validation rules

Checking the previous results, validation rules






 
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

Survey on sown area at the end of spring-enterprises

Survey on production and yield of early crops and fruits-enterprises

Survey on production and yield of late crops, fruits and grapes-enterprises

Survey on sown area at the end of spring-individual sector (expert estimates at the level of settlement)

Survey on production and yield of early crops and fruits-individual sector  (expert estimates at the level of settlement)

Survey on production and yield of late crops, fruits and grapes-individual sector (expert estimates at the level of settlement)
Unit level non-response rate (in %)

20

6.5

4

2

1

1
Item level non-response rate (in %)              
               - Min% / item
               - Max% / item

1-2%

1-2%

1-2%
               - Overall%
Was the non-response been treated ? YES YES YES YES YES YES
Which actions were taken to reduce the impact of non-response?
Which items had a high item-level non-response rate? 
Which methods were used for handling missing data?
(several answers allowed)		 Reminders Reminders Reminders Follow-up interviews
Imputations		 Follow-up interviews
Imputations		 Follow-up interviews
Imputations
In case of imputation which was the basis?
In case of imputation, which was the imputation rate (%)?
Estimated degree of bias caused by non-response? Unknown Unknown Unknown Insignificant Insignificant Insignificant
Which tools were used for correcting the data?
Which organisation did the corrections?

State Statistical Office

State Statistical Office

State Statistical Office

State Statistical Office

State Statistical Office

State Statistical Office
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?

4

3

4

3

4

4

4

4

4
How many of them are forecasts (releases before the harvest)?

3
When was the first  forecasting published for the crop year on which is reported? (day/month/year)
When were the final results published for the crop year on which is reported? (day/month/year) 05/05/2023 05/05/2023 05/05/2023 05/05/2023 05/05/2023 05/05/2023 05/05/2023 05/05/2023 05/05/2023 05/05/2023
Additional comments




 
7.2. Punctuality

See the European level Quality Report
7.2.1. Punctuality - delivery and publication

See the European level Quality Report


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

Not applicable


  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

Not applicable
8.3. Coherence - cross domain

With which other data sources the crop statistics data have been compared?  Farm structure survey 2016
If others, which?
If no comparisons have been made, why not?

Differences between ACS and FSS are due to different methods of data collection (FSS -sample survey vs ACS -total coverage for enterprises and total coverage at the settlement level for individual sector) or different reference year.


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    

162750

Annual crop statistics (ha)
Dried pulses and protein crops    
Root crops    
Oilseeds    

7245

Annual crop statistics (ha)
Other industrial crops (than oilseeds)    
Plants harvested green    
Total vegetables, melons and strawberries    

30900

Annual crop statistics (ha)
Vegetables and melons    
Strawberries    
Cultivated mushrooms  
Total permanent crops

4.4

  

38370

Annual crop statistics (ha)
Fruit trees

Not applicable.
Berries  
Nut trees  
Citrus fruit trees

Not applicable.
Vineyards

16.4

23060

Annual crop statistics (ha)
Olive trees

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

difference in reference year (FSS base year 2013), different definitions of main area and unit coverage

  





 
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
YES

https://www.stat.gov.mk/PrikaziSoopstenie_en.aspx?rbrtxt=127






 
9.2. Dissemination format - Publications

  Availability Links
Publications
Publications in English






 
9.3. Dissemination format - online database

Data tables - consultations

Not applicable


  Availability Links
On-line database accessible to users YES

PxWeb - Select table (stat.gov.mk)
Website National language
English

http://www.stat.gov.mk/Default.aspx

https://www.stat.gov.mk/Default_en.aspx





 
9.4. Dissemination format - microdata access

Availability Links






 
9.5. Dissemination format - other

Free : http://www.stat.gov.mk/ZaNas_en.aspx?id=30

Statistical data already published are free of charge, mostly available on-line. Statistical data not published are charged.
9.6. Documentation on methodology

  Availability Links
Methodological report None
National language

http://www.stat.gov.mk/Metodologii_en.aspx
Quality Report
Metadata None
National language

State Statistical Office of the Republic of Macedonia
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  Less frequent surveys
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