Crop production (apro

Crop production (apro_cp)

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

Compiling agency: Statistical Office of the Republic of Slovenia

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

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1.1. Contact organisation

Statistical Office of the Republic of Slovenia

1.2. Contact organisation unit

Environmental Statistics
Agriculture, Forestry, Fishing and Hunting Statistics Department

1.5. Contact mail address

Litostrojska cesta 54
SI-1000 Ljubljana

2. Statistical presentation

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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

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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

Final area under cultivation

Census
Survey

Sample survey on area sown

December Livestock survey (secundary crops)

Agricultural census 2020

IACS - subsidies

Production

Expert estimate

Harvested production of early crops and early fruits and estimated production of some important late crops – reference date 31.07

Harvested production of late crops, fruits and grapes - reference date 10.11.

Yield

Expert estimate

Harvested production of early crops and early fruits and estimated production of some important late crops – reference date 31.07

Harvested production of late crops, fruits and grapes - reference date 10.11.

Non-existing and non-significant crops

Census
Survey
Administrative data

Agricultural census 2020

IACS - subsidies

Table 2: Vegetables, melons and strawberries

Early estimates for harvested areas

Final harvested area

Survey

Sample survey on area sown

Production

Expert estimate

Harvested production of late crops, fruits and grapes - reference date 10.11.

Non-existing and non-significant crops

Census
Survey

Horticultural census

December livestock survey (modul on non-market vegetables)

Table 3: Permanent crops

Early estimates for production area

Final production area

Administrative data

IACS - Register of producers and plantations of fruit trees, Register of olive producers, Vineyard register

Production

Expert estimate

Harvested production of early crops and early fruits and estimated production of some important late crops – reference date 31.07

Harvested production of late crops, fruits and grapes - reference date 10.11.

Non-existing and non-significant crops

Census
Survey
Administrative data

Agricultural census 2020

IACS - Register of producers and plantations of fruit trees, Register of olive producers, Vineyard register

Table 4: Agricultural land use

Main area

Survey
Administrative data

Sample survey on area sown

Agricultural census 2020

IACS - Register of producers and plantations of fruit trees, Register of olive producers, Vineyard register

IACS - subsidies

Non-existing and non-significant crops

Census
Survey
Administrative data

Agricultural census 2020

Horticultural census

Sample survey on area sown

IACS - Register of producers and plantations of fruit trees, Register of olive producers, Vineyard register

IACS - subsidies

Total number of different data sources

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	x
Other type
If other type, please explain
Additional information

Which method is used for calculating the yield for main arable crops?	Production divided by sown area
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	Sample survey on area sown	December Livestock survey
Planning (month-month/year)	(MAR-JUNE/2022)	(SEPT-DEC/2022)
Preparation (month-month/year)	(APR-JUNE/2022)	(SEPT-DEC/2022)
Data collection (month-month/year)	(JUNE-AUG/2022)	(DEC/2022-JAN/2023)
Quality control (month-month/year)	(AUG-SEPT/2022)	(JAN-FEB/2023)
Data analysis (month-month/year)	(SEPT2022-MAR/2023)	(JAN-MAR/2023)
Dissemination (month-month/year)	(SEPT2022-MAR/2023)	(FEB-MAR/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	- Harvested area, yield and crop production Data on harvested area are not collected, but only data on sown area. In the event of a decrease in the area under cultivation due to natural disasters (floods, drought, hail, etc.), this is taken into account as a smaller estimated average yield per hectare of area under cultivation. - Production area of Permanent crops is including new plantations. - Dessert apples and pears - all fruits are produced for fresh consumption. After the harvest the product quality and market conditions determine the usage of fruits
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?	YES	Production is being estimated by experts.
Are special estimation/calculation methods used for vegetables or strawberries?	YES	Production is being estimated by experts.
Are special estimation/calculation methods used for permanent crops for human consumption?	YES	Production is being estimated by experts.
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)?	YES
In case yes, how do they differ? ( list all items and explanations)		Celery (V2200) including Celeriac (V4400) Other fresh vegetables n.e.c. (V9000) including Gourds and pumpkings (V3430) Common wheat and spelt (C1110) including Durum wheat (C1120) Peaches (F1210) including Nectarines (F1220) Olives for oil (O1910) including Olives for table use (O1100) Apples for processing (F1111) are included in apples for fresh consumption (F1112) Pears for fresh processing (F1122) are included in pears for fresh consumption (F1121)
In case data are delivered for one of the items below, describe the crop species included in the item:	V9000 - Other fresh vegetables n.e.c.	Gourds and pumpkings (V3430)

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).	Compering with data from other surveys and Statistical Farm Register
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)	2 per year (march, september)
Was a threshold applied?	YES
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 %)	less than 5 %
Dried pulses and protein crops (in %)	less than 5 %
Root crops (in %)	less than 5 %
Oilseeds (in %)	less than 5 %
Other industrial crops (included all industrial crops besides oilseeds) (in %)	less than 5 %
Plants harvested green from arable land (in %)	less than 5 %
Total vegetables, melons and strawberries (in %)	less than 5 %
Cultivated mushrooms (in %)	Not collected
Total permanent crops (in %)	less than 5 %
Fruit trees (in %)	less than 5 %
Berries (in %)	less than 5 %
Nut trees (in %)	less than 5 %
Citrus fruit trees (in %)	less than 5 %
Vineyards (in %)	less than 5 %
Olive trees (in %)	less than 5 %

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	Sample survey on area sown	December Livestock survey
Which survey method was used?	Telephone interview, electronic questionnaire	Postal questionnaire filled in by respondent Telephone interview, electronic questionnaire
If 'other', please specify
Please provide a link to the questionnaire
Data entry method, if paper questionnaires?		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 - Register of producers and plantations of fruit trees, Register of olive producers, Vineyard register	IACS - subsidies
Description	Registers were established among others needs for The Agency of the Republic of Slovenia for Agricultural Markets and Rural Development (body of the ministry), for the implementation of programs of the agricultural policy reform, alignment to the EU common agricultural policy and payment of SAPARD pre-accession assistance. Since May 2004 has a role of a paying agency for EAGGF funds. All registers are also part of Integrated Administration and Control System (IACS).	IACS - subsidies
Data owner (organisation)	MAFF	MAAF
Update frequency	Continuous	Once per year or more often
Reference date (month/year)	01.06.2022	01.06.2022
Legal basis
Reporting unit	All producers above threshold	all holdings which applied for direct payments
Identification variable (e.g. address, unique code, etc.)	unique identificator	unique identificator
Percentage of mismatches (%)	Unknown
How were the mismatches handled?
Degree of coverage (holdings, e.g. 80%)	all producers above threshold	80% of holdings
Degree of completeness (variables, e.g. 60%)	100%	almost complete
If not complete, which other sources were used ?		Sample survey on area sown
Were the data used for sample frame?	Validation	Sample frame
Data used for other purposes, which?
Which variables were taken from administrative sources?	all available	all available
Were there any differences in the definition of the variables between the administrative source and those described in the Regulation?	YES	YES
Please describe the differences	minor differences in the categories e.g. peaches and nectarines (one variable)	minor differences in the categories e.g. dry beans included in fresh vegetables
What measures were taken to eliminate the differences?	none	data for dry beans from Agricultural census 2020, is excluded from fresh vegatables
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	Harvested production of early crops and early fruits and estimated production of some important late crops – reference date 31.07.	Harvested production of late crops, fruits and grapes - reference date 10.11.
Data owner (organisation)	SURS	SURS
Update frequency (e.g. 1 year or 6 months)	Yearly	Yearly
Reference date (Month/Year e.g. 1/22 - 8/22)	7/22	10/22
Legal basis
Use purpose of the estimates?	Calculation and estimation of production/yield	Calculation and estimation of production/yield
What kind of expertise the experts have?
What kind of estimation methods were used?	Professional subjective assessment method based on observation of phenomena by means of known facts.	Professional subjective assessment method based on observation of phenomena by means of known facts.
Were there any differences in the definition of the variables between the experts' estimates and those described in the Regulation?	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?	Assessment was compared to data on production reported from agricultural bussiness.	Assessment was compared to data on production reported from agricultural bussiness.
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
Is the data cross-validated against an other dataset?	YES
If yes, which kind of dataset?	Previous results Farm Structure Survey Other dataset
If other, please describe

3.5. Data compilation

Not Applicable.

3.6. Adjustment

Not Applicable.

4. Quality management

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4.1. Quality assurance

	Completeness	Punctuality	Accuracy	Reliability	Overall quality
How would you describe the overall quality development since the previous quality report?	Stable	Stable	Stable	Stable	Stable
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(s)	https://www.stat.si/statweb/File/DocSysFile/12354/QR_KME-ZGK-K_2022.pdf
To which data source(s) is it linked?	Sample survey on area sown, all surveys mentioned in 3.1
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?	Systematic validation improvements Further automation
If, other, please specify
Additional comments

4.2. Quality management - assessment

See the European level Quality Report.

5. Relevance

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5.1. Relevance - User Needs

Are there known unmet user needs?	YES
Describe the unmet needs	Gathering data on Energy crops (all crops, used for energy purpouses, including green maize, cereals, plants harvested green, etc)
Does the Regulation 543/2009 meet the national data needs?	NO
Does the ESS agreement meet the national needs?
If not, which additional data are collected?	data on other crops, not covered by Reg.543/2009
Additional comments

5.2. Relevance - User Satisfaction

Have any user satisfaction surveys been done?	NO
If yes, how satisfied the users were?	Satisfied
Additional comments	There were no satisfaction survey done, but periodicly we organise Statistical advisory committie for Agricultural statistics, where all methodological changes and data needs are discusted with data users. More about Statistical advisory committies can be found on: http://www.stat.si/StatWeb/en/NationalStatistics/AdvCommittees

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

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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	Sample survey on area sown	December Livestock survey
Sampling basis?	List Area	List Area
If 'other', please specify
Sampling method?	Stratified	Stratified
If stratified, number of strata?	4	4
If stratified, stratification basis?	Location Size Legal status	Location Size Legal status
If 'other', please specify
Size of total population	68,142	68,000
Size of sample	55,618	9,461
Which methods were used to assess the sampling error?	Relative standard error	Relative standard error
If other, which?
Which methods were used to derive the extrapolation factor?	Basic weight Non-response	Basic weight Non-response
If other, which?
If CV (co-efficient of variation) was calculated, please describe the calculation methods and formulas	Coefficient of variation was calculated using SAS procedure PROC SURVEYMEANS for stratified sample design.	Coefficient of variation was calculated using SAS procedure PROC SURVEYMEANS for stratified sample design.
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	Sample survey on area sown
Cereals for the production of grain (in %)	0.5
Dried pulses and protein crops (in %)	9.5
Root crops (in %)	1.7
Oilseeds (in %)	0.2
Other industrial crops (included all industrial crops besides oilseeds) (in %)
Plants harvested green from arable land (in %)	0.1
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	Sample survey on area sown	December Livestock survey
Error type	Over-coverage Contact errors	Over-coverage Contact errors
Degree of bias caused by coverage errors	Low	Low
What were the reasons for coverage errors?	The error occurs, because the survey included inadequate reporting units. They were eliminated in the process of data editing.	The error occurs, because the survey included inadequate reporting units. They were eliminated in the process of data editing.
Which actions were taken for reducing the error or to correct the statistics?	Over-coverage was adjusted with the help of extrapolator factor.	Over-coverage was adjusted with the help of extrapolator factor.
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	Sample survey on area sown	December Livestock survey
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)?	19	17
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	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?	NO	NO
If yes, describe the actions and their impact

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	Sample survey on area sown	December Livestock survey
Unit level non-response rate (in %)	2.41	41.7
Item level non-response rate (in %)
- Min% / item	0%	0%
- Max% / item	0%	0%
- Overall%	0%	0%
Was the non-response been treated ?	YES	YES
Which actions were taken to reduce the impact of non-response?	weighting	weighting
Which items had a high item-level non-response rate?	None	None
Which methods were used for handling missing data? (several answers allowed)	Weighting	Weighting
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?	Insignificant	Insignificant
Which tools were used for correcting the data?	SQL, SAS	SQL, SAS
Which organisation did the corrections?	SURS	SURS
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

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7.1. Timeliness

Time lag - first result

120 days

Time lag - final result

356 days

	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?	3	1	3	2	1	1	0	1	0	2	1	1	0	2	1
How many of them are forecasts (releases before the harvest)?	2	1	2	1	0	0	1	0		28/10/2022	0	0		1
When was the first forecasting published for the crop year on which is reported? (day/month/year)	28/09/2022	28/10/2022	28/09/2022	28/10/2022						1				28/10/2022
When were the final results published for the crop year on which is reported? (day/month/year)	29/03/2023	29/03/2023	29/03/2023	29/03/2023	29/03/2023	29/03/2023	29/03/2023	29/03/2023		29/03/2023	29/03/2023	29/03/2023		29/03/2023	29/03/2023
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

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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?	IACS Other
If others, which?	Agricultural census 2020 (IFS 2020)
If no comparisons have been made, why not?

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
Dried pulses and protein crops
Root crops
Oilseeds
Other industrial crops (than oilseeds)
Plants harvested green
Total vegetables, melons and strawberries
Vegetables and melons
Strawberries
Cultivated mushrooms
Total permanent crops	-2,0%
Fruit trees	+10,3%	Not applicable.
Berries
Nut trees
Citrus fruit trees		Not applicable.
Vineyards	-3.3%
Olive trees	-13.6%	Not applicable.
If there were considerable differences, which factors explain them?	Most of the differences arise due to different reference periods between surveys.

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

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9.1. Dissemination format - News release

Availability	Links
YES

Annexes:
Production of early crops and early fruits and yield forecast of some important late crops, Slovenia, 2022
Areas of field products, Slovenia, 2022
Yield forecast of late crops, late fruit and grapes, Slovenia, 2022
Autumn sowing of cereals and oil turniprape, Slovenia, 2022
Si-Stat database
SURS - webpage

9.2. Dissemination format - Publications

	Availability	Links
Publications	Electronic
Publications in English	Electronic

9.3. Dissemination format - online database

Data tables - consultations

	Availability	Links
On-line database accessible to users	YES
Website	National language English

9.4. Dissemination format - microdata access

Availability	Links
YES	http://www.stat.si/StatWeb/en/StaticPages/Index/For-Researchers

9.5. Dissemination format - other

9.6. Documentation on methodology

	Availability	Links
Methodological report	English	https://www.stat.si/StatWeb/File/DocSysFile/8017/15-024-ME.pdf
Quality Report	English	https://www.stat.si/StatWeb/File/DocSysFile/12354/QR_KME-ZGK-K_2022.pdf
Metadata	National language
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

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Efficiency gains if compared to the previous quality report?	Further automation
If other, which?
Burden reduction measures since the previous reference year	Multiple use of the collected data
If other, which?

11. Confidentiality

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11.1. Confidentiality - policy

Restricted from publication

11.2. Confidentiality - data treatment

Restricted from publication

12. Comment

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Related metadata

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Annexes

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