Crop production (apro_cp)

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

Compiling agency: AGENCY FOR STATISTICS OF BOSNIA AND HERZEGOVINA

Time Dimension: 2014-A0

Data Provider: BA1

Data Flow: CROPROD_ESQRS_A


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: EUROPEAN STATISTICAL DATA SUPPORT

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1. Contact Top
1.1. Contact organisation

AGENCY FOR STATISTICS OF BOSNIA AND HERZEGOVINA

1.2. Contact organisation unit

Department for Agriculture, Forestry and Fishery

1.5. Contact mail address

Ferhadija 11, 71000 Sarajevo


2. Statistical presentation Top
2.1. Data description
Main changes since 2011
Which new data sources have been introduced since the previous quality report (2011)?          
Type of source?          
To which Table (Reg 543/2009) do they contribute?          
Which data sources have been dropped since the previous quality report (2011)?          
Type of source?          
Why have they been dropped?          
  Completeness Punctuality Accuracy Reliability Overall quality
How would you describe the overall quality development since 2011? improvement improvement improvement improvement improvement
Additional comments  
2.2. Classification system

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.3. Coverage - sector

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.4. Statistical concepts and definitions

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.5. Statistical unit

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.6. Statistical population

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.7. Reference area

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.8. Coverage - Time

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

2.9. Base period

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.


3. Statistical processing Top

See points 3.1, 3.2, 3.3 and 3.4

3.1. Source data
Data sources: Please indicate the data sources which were used for the reference year 2014
  Data source (indicate the number and the name(s) of data sources)
  Census Sample Survey Administrative Data Expert Estimation  Other
  Number Name(s) Number Name(s) Number Name(s) Number Name(s) Number Name(s)
Table 1: crops from arable land                    
Early estimates for areas                    
Final area under cultivation             6 BHAS, FIS and RSIS (PO-21b;PO-22b)
   
Production             6 BHAS, FIS and RSIS (PO-32b;PO-33b)
   
Yield             6 BHAS, FIS and RSIS (PO-32b;PO-33b)    
Non-existing and non-significant crops             1 BHAS    
Table 2: Vegetables, melons and strawberries                     
Early estimates for harvested areas                    
Final harvested area             6 BHAS, FIS and RSIS (PO-32b;PO-33b)    
Production             6 BHAS, FIS and RSIS (PO-32b;PO-33b)    
Non-existing and non-significant crops             1 BHAS    
Table 3: Permanent crops                    
Early estimates for production area                    
Final production area                    
Production             9 BHAS, FIS and RSIS (PO-32b;PO-33b;PO-34b)    
Non-existing and non-significant crops             1 BHAS    
Table 4: Agricultural land use                    
Main area             3 BHAS, FIS and RSIS (PO-22b)    
Non-existing and non-significant crops             1 BHAS    
Total number of different data sources (no double counting)             15      
If the box 'others' is ticked, please specify.  
Additional comments       
3.2. Frequency of data collection
Phases of the data collection Source 1  Source 2  Source  Source 4 Source 5   Source 6  Source 7  Source 8  Source 9 Source 10
Name of the source Report on sown area in autumn sowing

PO-21a

Report on sown area in autumn sowing

PO-21b

Report on areas and plantations at the end of the spring sowing

PO-22a

Report on areas and plantations at the end of the spring sowing

PO-22b

Report on realized yield of early crops and fruit and expected yield of the main crops

PO-32a

Report on realized yield of early crops and fruit and expected yield of the main crops

PO-32b

Report on realized yield of late crops, fruit and grape

PO-33a

Report on realized yield of late crops, fruit and grape

PO-33b

Report on realized yield of citrus fruit and olives

PO-34a

Report on realized yield of citrus fruit and olives

PO-34b

Planning 10/2013 10/2013 10/2013 10/2013 10/2013 10/2013 10/2013 10/2013 10/2013 10/2013
Preparation 10/2013 10/2013 10/2013 10/2013 10/2013 10/2013 10/2013 10/2013 10/2013 10/2013
Data collection 01/2013 01/2013 07/2014 07/2014 10/2014 10/2014 01/2015 01/2015 01/2015 01/2015
Quality control 01/2014 01/2014 07/2014 07/2014 10/2014 10/2014 01/2015 01/2015 01/2015 01/2015
Data analysis 01/2015 01/2014 08/2014 08/2014 10/2014 10/2014 01/2015 01/2015 01/2015 01/2015
Dissemination 01/2014 01/2014 08/2014 08/2014 10/2014 10/2014 01/2015 01/2015 02/2015 02/2015
If there were delays, what were the reasons?                    
3.3. Data collection
Definitions
Are the national definitions of cultivation/production area and crops the same as in Reg. 543/2009? No
 If not, please explain the differences Permanent crops - data of production are related to number of trees not to area in ha because we don't have data about area for family agricultural holdings.

 

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).
Threshold is not applied for the estimaiton of area and production of crops
Is the data collection based on holdings? No
If yes, how the holdings were identified?  
If not, on which unit the data collection is based on? Business entities and municipalities for family agricultural holdings
When was last update of the holding register?  
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  
Dried pulses and protein crops  
Root crops  
Oilseeds  
Other industrial crops (included all industrial crops besides oilseeds)   
Plants harvested green from arable land  
Total vegetables, melons and strawberries  
Vegetables and melons  
Strawberries  
Cultivated mushrooms  
Total permanent crops   
Fruit trees  
Berries  
Nut trees  
Citrus fruit trees  
Vineyards  
Olive trees  

 

Survey method (this question block is only for surveys)
  Survey 1  Survey 2 Survey 3  Survey 4 Survey 5  Survey 6 Survey 7 Survey 8 Survey 9 Survey 10
Name of the survey Report on sown area in autumn sowing

PO-21a

Report on sown area in autumn sowing

PO-21b

Report on areas and plantations at the end of the spring sowing

PO-22a

Report on areas and plantations at the end of the spring sowing

PO-22b

Report on realized yield of early crops and fruit and expected yield of the main crops

PO-32a

Report on realized yield of early crops and fruit and expected yield of the main crops

PO-32b

Report on realized yield of late crops, fruit and grape

PO-33a

Report on realized yield of late crops, fruit and grape

PO-33b

Report on realized yield of citrus fruit and olives

PO-34a

Report on realized yield of citrus fruit and olives

PO-34b

Which survey method was used? see the options below                    
  - Postal questionnaire filled in by respondent Yes Yes Yes Yes Yes Yes Yes Yes Yes (Yes/no)
   - Electronic questionnaire filled in by respondent                    
   - Telephone interview, paper questionnaire                    
   - Telephone interview, electronic questionnaire                    
   - Face-to-face interview                    
   - Other Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
If 'other', please specify by E-mail  by E-mail  by E-mail  by E-mail  by E-mail by E-mail by E-mail by E-mail by E-mail by E-mail
Data entry method, if paper questionnaires? Manual Manual Manual Manual Manual Manual Manual Manual Manual Manual
Please provide a link to the questionnaire                    

 

Administrative data (This question block is only for administrative data)       
  Admin source 1
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?  
Were the data used for validation?  
Were the administrative data used directly for the estimates?  
Were the 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 were the reliability, accuracy and coherence (comparison to other available data) of the data originated from administrative data source (ex-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
Name of the estimation Report on sown area in autumn sowing

PO-21b

Report on areas and plantations at the end of the spring sowing

PO-22b

Report on realized yield of early crops and fruit and expected yield of the main crops

PO-32b

Report on realized yield of late crops, fruit and grape

PO-33b

Report on realized yield of citrus fruit and olives

PO-34b

Data owner (organisation) BHAS, FIS, RSIS BHAS, FIS, RSIS BHAS, FIS, RSIS BHAS, FIS, RSIS BHAS, FIS, RSIS
Update frequency (in months) once a year once a year once a year once a year once a year
Reference date (Month/Year  e.g. 1/13 - 8/13) 12/14 6/15 9/15 11/15 1/16
Legal basis Laws on statistics and Annual statistical programmes Laws on statistics and Annual statistical programmes Laws on statistics and Annual statistical programmes Laws on statistics and Annual statistical programmes Laws on statistics and Annual statistical programmes
For what purposes the expert estimates were used? For statistics For statistics For statistics For statistics For statistics
What kind of expertise the experts have? Mostly Agronomist Mostly Agronomist Mostly Agronomist Mostly Agronomist Mostly Agronomist
Describe in detail the estimation methods used Cadastral data, own observation, data from previous year, directly contact with farmers and agricultural associations  Cadastral data, own observation, data from previous year, directly contact with farmers and agricultural associations  Cadastral data, own observation, data from previous year, directly contact with farmers and agricultural associations  Cadastral data, own observation, data from previous year, directly contact with farmers and agricultural associations  Cadastral data, own observation, data from previous year, directly contact with farmers and agricultural associations 
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 (ex-ante- and/or ex-post) assessed?          
What were the possible limitations, drawbacks of using the data from expert estimate(s)?          
 Describe the possible plans to replace the expert estimates by other data sources (e.g. surveys, administrative data) We plan to replace expert estimations by sample surveys based on list of AH from PC2013. We plan to replace expert estimations by sample surveys based on list of AH from PC2013. We plan to replace expert estimations by sample surveys based on list of AH from PC2013. We plan to replace expert estimations by sample surveys based on list of AH from PC2013. We plan to replace expert estimations by sample surveys based on list of AH from PC2013.
Additional comments     

 

 For all data sources  
Note down any other relevant information linked to the methodology,  weather conditions during the agricultural year (reference period)  etc.  
What improvements have been planned for the future?  
3.4. Data validation
Are the data validated before the submission to Eurostat? Yes

If yes, what kind of validation rules are applied (see the options below)

 

 - Logical conisistency

Yes

 - Outliers against time-series

Yes

 - Completeness of data

Yes

 - Aggregates (are parts summed up correctly) 

Yes

 - Cross-domain coherance

No

 - Others, which?

 

 Are the validation rules documented?

No

 Please provide the link to the validation rules or attach a file

 
3.5. Data compilation

Not relevant

3.6. Adjustment

Not relevant


4. Quality management Top
4.1. Quality assurance

Not available.
New concept added with the migration to SIMS 2.0.
Information (content) will be available after the next collection.

4.2. Quality management - assessment
Overall quality management for annual crop statistics 
Which kind of data validation measures are in place?  Automatic and manual
What do they target? Unit - Completeness, item completeness, valid value, ranges, relational checks/, arithmetic calculations and ratio edits
Are the data cross-validated against an other dataset? Yes
If yes, which kind of dataset? Previous results and other dataset
If other data sets, which? MoA on entity level, Agricultural institutes, Faculties
Is there a quality management process in place for crop statistics? No
If, yes, what are the components?          
Is there a Quality Report available? Yes
If yes, please provide a link http://www.bhas.ba/izvjestaji/QR_GSU_2013_ENG.pdf
To which data souce is it linked?  Annual Crop statistics 2013
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? (i) Change of data collection methodology:from expert estimation to sampling surveys; (ii) to prepare and carry out survey on EECP; (iii) create a list of agricultural holdings from Population Census (2013); (iv) improvement the deadlines for data transmission from entities statistical institutions.
If, other, please specify  
Additional comments  


5. Relevance Top

See points 5.1 and 5.2

5.1. Relevance - User Needs
areaAre there known unmet user needs? Yes
Describe the unmet needs More national and regional data on area of permanent crops and agricultural land use (UAA, permanent grassland)
Does the Regulation 543/2009 meet the national data needs? Yes
If not, which additional data are collected?  
Additional comments  
5.2. Relevance - User Satisfaction
Have any user satisfaction surveys been done? Yes        
Tick the appropriate box on next row Highly satisfied Satisfied Neutral Not completely satisfied Not at all satisfied
How satisfied the users were?    X      
Additional comments 2012 BHAS carried out a general users satisfaction survey. On the Web Application from entity statistical institutions users have possibility to put comments.      
5.3. Completeness

Not relevant

5.3.1. Data completeness - rate

Not relevant


6. Accuracy and reliability Top

See points 6.2, 6.3.1, 6.3.2 and 6.3.3

6.1. Accuracy - overall

Not relevant

6.2. Sampling error
These questions apply only to surveys
General questions Survey 1
Name of the survey -
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 RSE 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?  

 

Coefficient of variation (CV) for the area (on the MS level) Survey 1 
Name of the survey -
Cereals for the production of grain  
Dried pulses and protein crops  
Root crops  
Oilseeds  
Other industrial crops (included all industrial crops besides oilseeds)   
Plants harvested green from arable land  
Total vegetables, melons and strawberries  
Vegetables and melons  
Strawberries  
Cultivated mushrooms  
Total permanent crops  
Fruit trees  
Berries  
Nut trees  
Citrus fruit trees  
Vineyards  
Olive trees  
Additional comments          
6.2.1. Sampling error - indicators

Not relevant

6.3. Non-sampling error

See point below.

6.3.1. Coverage error
  Survey 1 Survey 2 Survey 3 Survey 4 Survey 5 Survey 6
Error type Under-coverage Under-coverage Under-coverage Under-coverage Under-coverage Under-coverage
Degree of bias caused by coverage errors Low Low Low Low Low Low
What were the reasons for coverage errors?            
Which actions were taken for reducing the error or to correct the statistics?            
Additional comments Thease are linked to expert estimates.
6.3.1.1. Over-coverage - rate

Not relevant

6.3.1.2. Common units - proportion

Not relevant

6.3.2. Measurement error
Preparation and Quality of the Questionnaire Survey 1 Survey 2 Survey 3 Survey 4 Survey 5
Name of the survey Report on sown area in autumn sowing Report on areas and plantations at the end of the spring sowing Report on realized yields of early crops and fruit Report on realized yields of late crops, fruit and grape Report on realized yields of citrus fruit and olives
Was the questionnaire based on usual concepts for respondents? Yes Yes Yes Yes Yes
Number of surveys already performed with the current questionnaire (or a slightly amended version of it)? 10 10 10 10 10
Preparatory (field) testing of the questionnaire? Yes Yes Yes Yes Yes
Number of units participating in the tests?           
Explanatory notes/handbook for surveyors/respondents?  Yes Yes Yes Yes Yes
On-line FAQ or Hot-line support for surveyors/respondents? Yes Yes Yes Yes Yes
Were pre-filled questionnaires used? 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?          
If yes, describe the actions and their impact          
Additional comments    
6.3.3. Non response error
  Survey 1 Survey 2 Survey 3 Survey 4 Survey 5
Name of the survey/census Report on sown area in autumn sowing Report on areas and plantations at the end of the spring sowing Report on realized yields of early crops and fruit Report on realized yields of late crops, fruit and grape Report on realized yields of citrus fruit and olives
Unit level non-response rate (in %) 0 0 0 0 0
Item level non-response rate (in %) (Reply to rows below).          
Min% / item          
Max% /item          
Average %          
Was the non-response been treated ? No No No No No
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)
         
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 Unknown Unknown
Which tools were used for correcting the data?          
Which organisation did the corrections?          
Additional comments          
6.3.3.1. Unit non-response - rate

Not relevant

6.3.3.2. Item non-response - rate

Not relevant

6.3.4. Processing error

Not relevant

6.3.4.1. Imputation - rate

Not relevant

6.3.5. Model assumption error

Not relevant

6.4. Seasonal adjustment

Not relevant

6.5. Data revision - policy

Not relevant

6.6. Data revision - practice

Not relevant

6.6.1. Data revision - average size

Not relevant


7. Timeliness and punctuality Top

See point 7.1

7.1. Timeliness
The number of days between the delivery/release date of data and the target date on which they were scheduled for delivery/ release.
  Cereals Dried pulses and protein crops Root crops Oilseeds Other industrial crops Plants harvested green Total vegetables, melons and strawberries Vegetables and melons Strawberries Cultivated mushrooms Total permanent crops Fruit trees Berries Nut trees Citrus fruit trees Vineyards Olive trees
How many main data releases there are yearly in the national crop statistics? 4 4 4 4 4 3 4 4 1 - 1 1 1

1

1 1 1
How many of them are forecastings (releases before the harvest)?                                  
When is the first forecasting published? (day/month/year)                                  
When are the final results published? 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015
Additional comments For reference year 2014 For reference year 2014 For reference year 2014 For reference year 2014 For reference year 2014 For reference year 2014 For reference year 2014 For reference year 2014 For reference year 2014 For reference year 2014 For reference year 2014 For reference year 2014 For reference year 2014 For reference year 2014 For reference year 2014 For reference year 2014 For reference year 2014
7.1.1. Time lag - first result

Not relevant

7.1.2. Time lag - final result

Not relevant

7.2. Punctuality

Not relevant

7.2.1. Punctuality - delivery and publication

Not relevant


8. Coherence and comparability Top

See points 8.2 and 8.3

8.1. Comparability - geographical

Not relevant

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not relevant

8.2. Comparability - over time
  Overall  
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 since 2011? No No No No No
If yes, to which were they related?          
If other, which?          
Which items were affected?          
Year of break          
Impact on comparability          
Additional comments  
8.2.1. Length of comparable time series

Not relevant

8.3. Coherence - cross domain
Tick the appropriate box(es) Orchard survey Farm Structure survey Administrative data Price statistics National accounts Others
With which other data sources have the crop statistics data been compared?             
If no comparisons have been made, why not? Lack of administrative data sources and sample surveys   
If yes, please give a brief description of the results of this comparison.  
If comparisons were made against administrative or other sources, please give the names  

 

  Differences between ACS and other data sources (%)
Results of comparisons Annual crop statistics (ha) FSS difference Orchard survey difference Administrative source(s) difference Other source(s) difference
Cereals     (%)    
Dried pulses and protein crops     (%)    
Root crops     (%)    
Oilseeds     (%)    
Other industrial crops     (%)    
Plants harvested green     (%)    
Total vegetables, melons and strawberries     (%)    
Vegetables and melons     (%)    
Strawberries     (%)    
Cultivated mushrooms     (%)    
Total permanent crops          
Fruit trees          
Berries          
Nut trees          
Citrus fruit trees          
Vineyards          
Olive trees          
If there were considerable differences, which factors explain them?          
If you used the column 'Other sources', please give the name and a short description of the other source  
If no comparisons have been made, why not?          
Additional comments          
8.4. Coherence - sub annual and annual statistics

Not relevant

8.5. Coherence - National Accounts

Not relevant

8.6. Coherence - internal

Not relevant


9. Accessibility and clarity Top

See points 9.1, 9.2, 9.3, 9.5 and 9.6

9.1. Dissemination format - News release
Crop statistics Availability Links
Press release Yes http://www.bhas.ba/index.php?option=com_publikacija&view=publikacija_pregled&ids=4&id=14&n=Agriculture
9.2. Dissemination format - Publications
Crop statistics Availability Links
Scientific publications No  
Publications Yes http://www.mvteo.gov.ba/izvjestaji_publikacije/izvjestaji/Archive.aspx?langTag=en-US&template_id=96&pageIndex=1
Publications in English No  
9.3. Dissemination format - online database
Crop statistics Availability Links
On-line database accessible to users No  
Website No  
9.3.1. Data tables - consultations

Not relevant

9.4. Dissemination format - microdata access

Not relevant

9.5. Dissemination format - other
Crop statistics Availability Links
Free/against payment access policy Free http://www.bhas.ba/index.php?option=com_publikacija&view=publikacija_pregled&ids=4&id=14&n=Poljoprivreda
Additional comments  
9.6. Documentation on methodology
Crop statistics Availability Links
Definitions and classifications No  
Methodological report Yes http://www.bhas.ba/?option=com_metodologija&lang=ba
Metadata No  
9.7. Quality management - documentation

See chapter 3 

9.7.1. Metadata completeness - rate

Not relevant

9.7.2. Metadata - consultations

Not relevant


10. Cost and Burden Top
Restricted from publication


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


12. Comment Top

No comment


Related metadata Top


Annexes Top