Farm structure (ef)

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

Compiling agency: Štatistický úrad Slovenskej republiky (Statistical Office of the Slovak Republic)

Time Dimension: 2016-A0

Data Provider: SK1

Data Flow: FSS_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
Štatistický úrad Slovenskej republiky (Statistical Office of the Slovak Republic)
1.2. Contact organisation unit
Business Statistics Directorate / Agricultural Statistics Department
1.5. Contact mail address

Štatistický úrad Slovenskej republiky (Statistical Office of the Slovak Republic)

Miletičova 3,

824 67 Bratislava,

Slovak Republic


2. Statistical presentation Top
2.1. Data description
1. Brief history of the national survey 

Since 2001 the Statistical Office of the SR has conducted regular farm structure surveys. Surveys carried out in the years 2001, 2003, 2005 and 2007 covered holdings reaching at least one of the physical thresholds:

a/  utilized agricultural area (UAA) at least 0,5 ha,

b/ area of intensive crops (orchards or vegetables or flowers) at least 1500 m2,

c/ area of vineyards at least 500 m2

d/ number of livestock - 1 head of  cattle or 2 heads of pigs or 4 heads of sheep or 4 heads of goats or 50 heads of poultry,

e/ number of fur animals at least 100 heads or 100 heads of rabbits or 5 colonies of bees.

 

The threshold values amended in 2010 and remained also in force for the surveys in 2013 and 2016:

a/ utilized agricultural area (UAA) at least 1,0 ha,

b/ area of vineyards, orchards and nurseries at least 0,5 ha,

c/ area of tobacco, hops, vegetables, flowers, melons, strawberries and covered areas at least 0,1 ha,

d/ number of livestock at least 1 head of cattle or 3 heads of pigs or 5 heads of goats or 5 heads of sheep or 100 heads of poultry.

A common characteristic for all surveys carried out so far is, that surveys were carried out as the census for farms of legal persons, registered natural persons and households with UAA above 5 ha. The sample survey was carried out on farms engaged in agricultural activity with an UAA less than 5 ha, which include farms engaged in agricultural activities for their own consumption.

 

2. Legal framework of the national survey 
- the national legal framework The basic Slovak legal norm for the area of state statistics is the Act No. 540/2001 Coll. on State Statistics. Statistical surveys are conducted on the base of the Program of State Statistical Surveys that is compiled by the Statistical Office of the Slovak Republic in cooperation with ministries and state bodies for three-year period and is issued in the form of a decree 60 days before coming into force.
- the obligations of the respondents with respect to the survey The Act on State Statistics (540/2001 Coll.) deals also with obligations (§ 18 (3)) of respondents in relation to statistical surveys and sets sanctions (§ 32), if obligations are not fulfilled.
- the identification, protection and obligations of survey enumerators Survey enumerators were not involved to the survey in 2016.
2.2. Classification system

[Not requested]

2.3. Coverage - sector

[Not requested]

2.4. Statistical concepts and definitions
List of abbreviations
AWU Annual work unit
FACR Farm animals central register
FSC Farm Structure Census
FSS Farm Structure Survey
LFA Less favoured areas
LSU Livestock unit
MPRVSR Ministry of Agriculture and Rural Development of the Slovak Republic
NE Not Existent
NS Not Significant
NUTS Nomenclature of territorial units for statistics
OGA Other gainful activities
SAPS Single Area Payment Scheme
SO SR Statistical Office of the Slovak Republic
UAA Utilised Agricultural Area
2.5. Statistical unit
The national definition of the agricultural holding

The definition of a farm is in compliance with the EU definition (article 2a) of the EU regulation 1166/2008. Slovakia uses the same list of agricultural activities for the definition of an agricultural holding, as indicated in Annex I of this Regulation.

The survey also includes holdings exclusively maintaining agricultural land in good agricultural and environmental condition (under 01.61 of NACE Rev. 2)

2.6. Statistical population
1. The number of holdings forming the entire universe of agricultural holdings in the country
The total number of farms without applying thresholds in Slovakia in 2016 was not known, as we have not done any full census without thresholds since 2001.

 

2. The national survey coverage: the thresholds applied in the national survey and the geographical coverage

Used thresholds for the farm:
a/ area of utilized agricultural area (UAA) at least 1,0 ha (A_3_1),
b/ area of vineyards, orchards and nurseries at least 0,5 ha (B_4_4, B_4_1, B_4_5),
c/ area of tobacco, hops, vegetables, flowers, melons, strawberries and covered areas at least 0,1 ha (B_1_6_1, B_1_6_2, B_1_7, B_1_8),
d/ number of livestock at least 1 head of cattle (C_2) or 3 heads of pigs (C_4) or 5 heads of goats (C_3_2) or 5 heads of sheep (C_3_1) or 100 heads of poultry (C_5).

The geographical coverage: NUTS 3. We covered the whole country.

 

3. The number of holdings in the national survey coverage 
Number of farms in total – 25 658

 

4. The survey coverage of the records sent to Eurostat
The survey coverage of the records sent to Eurostat is the same as the national survey coverage.

 

5. The number of holdings in the population covered by the records transferred to Eurostat
Number of holdings in the population covered by the records is 25 658

 

6. Holdings with standard output equal to zero included in the records sent to Eurostat

Holdings (330 farms) with area only in B_1_12 and B_3_3 keep this area in good agricultural and environmental conditions.

 

7. Proofs that the requirements stipulated in art. 3.2 the Regulation 1166/2008 are met in the data transmitted to Eurostat
As we use the threshold of UAA of 1 ha, compliance with art. 3.2 is not applicable.

 

8. Proofs that the requirements stipulated in art. 3.3 the Regulation 1166/2008 are met in the data transmitted to Eurostat
The used thresholds comply with the physical thresholds referred to in art 3.3.
2.7. Reference area
Location of the holding. The criteria used to determine the NUTS3 region of the holding

NUTS3 region was determined according to the majority of the total area of the holding where the holding is located or if farm has no land according to the place (settlement) where animals are kept.

2.8. Coverage - Time
Reference periods/dates of all main groups of characteristics (both included in the EU Regulation 1166/2008 and surveyed only for national purposes)

Data for the land and labour force characteristics, were collected for the reference period from the
1st November 2015 to the 31st October 2016.

The reference day for livestock characteristics was the 31st October 2016.

Characteristics on support for rural development concerning 2014, 2015 and 2016 were surveyed.
2.9. Base period

[Not requested]


3. Statistical processing Top
1.Survey process and timetable

The Statistical Office of the Slovak Republic included the survey in the Program of State Statistical Surveys approved for the period of 2015 - 2017. The Farm Structure Survey 2016 was carried out on the basis of the Decree of the Statistical Office of the Slovak Republic No. 291/2014 Coll as amended.

 

Calendar (overview of work progress) :

Name of task

from

to

1. Definition of survey objective and requirement

1.1 survey promotion

  November 2015

June 2016

2. Survey design

2.1 definition of the survey variables

2.2 design of data collection procedures

2.3 design of data processing procedures

2.4 training of data processors

   

 

May 2016

June 2016

3. Data collection

3.1 sampling frame construction and sample selection

  September 2016
4. Data processing and validation

4.1 data entry and data coding

4.2 data validation (at record level)

December 2016 March 2017
5. Data compilation

5.1 data correction and imputation

5.1 weigh calculation

 

April 2017

 

 

September 2017

 

6. Data analysis

6.1 data correction and imputation

August 2017 October 2017

 

2. The bodies involved and the share of responsibilities among bodies

The Statistical Office of the SR is a responsible body for the work performed by the Agricultural Statistics Department. Competencies were divided among working groups from employees of the center in Bratislava and 8 regional workplaces.

Tasks of the center:

- preparation of the timetable of the project,
- preparation of the budget,
- preparation of the final version of the questionnaire and methodological instructions,
- provision of printing,
- preparation of the proposal of survey methodology,
- preparation of the technical documentation of data processing,
- training of supervisors,
- creation of the file of reporting units,
- software testing,
- data collection monitoring,
- data analysis,
- calculation of the typology of farm,
- publishing activities,
- coordination of activities of working groups,
- preparation of data file and other documents for Eurostat.

 

Competences of regional workplaces:

- cooperation in development of the questionnaire and methodological guidelines,
- software testing,
- distribution of printed materials,
- collection of paper questionnaires,
- data entry from the paper questionnaires,
- data validation (at record level).

 

3. Serious deviations from the established timetable (if any)
No significant deviations
3.1. Source data
1. Source of data

The Statistical Office of the Slovak Republic included the survey in the Program of State Statistical Surveys approved for the period of 2015 - 2017. The Farm Structure Survey 2016 was carried out on the basis of the Decree of the Statistical Office of the Slovak Republic No. 291/2014 Coll as amended.

 

2. (Sampling) frame

The frame was created by multiple registers:

- set of holdings from FSC 2013,

- new holdings identified during regular statistical surveys,

- new holdings from the register of organizations of SO SR,

- new holdings from external registers:

  • register of orchards;
  • register of vineyards;
  • register of cattle;
  • register of pigs;
  • register of sheep;
  • register of goats;
  • register of organic farms;
  • register of applicants for the Single Area Payment Scheme (SAPS).

All registers and the sampling frame are list frames at the farm level.

The time reference of the frame is the period from June 2016 to September 2016.

 

3. Sampling design
3.1 The sampling design

We carried out a sample survey only on the households with the UAA less than 5 ha.
The sampling design is one-stage stratified random sampling of holdings.

3.2 The stratification variables

The sampling frame was divided into two strata:
- a stratum with legal persons, registered natural persons and households with the UAA >= 5 ha. The sampling rate in this stratum was 100%.
- a stratum of households with the UAA less than 5 ha. The stratification variables were NUTS3.

3.3 The full coverage strata
Farms of legal persons, registered natural persons and households with the UAA >= 5 ha were fully covered.
3.4 The method for the determination of the overall sample size
The gross sample of the survey on households with the UAA less than 5 ha is 2 500 holdings.
The total number of farms surveyed (2 500 plus the number of farms with legal persons farms, registered natural persons and households with the UAA >=5 ha) is 20 310 holdings. The total sample size was established by taking into account the weight of the respondents in the survey frame which is low, as well as the financial possibilities.
3.5 The method for the allocation of the overall sample size
The sampling file was divided into two strata. In one are farms of legal persons, registered of natural persons and households with the area >= 5 ha. Sampling in this stratum was 100%. The second stratum consisted of households with the area less than 5 ha, the sample was of 11.7%. The sample part has been stratified to the level of NUTS3. It has been proportionally divided within NUTS3.  It has been performed SRS (Simple Random Sampling) at the level of the strata. For the calculation and implementation of the stratified selection it has been used SAS (SURVEYSELECT procedure) software.
3.6 Sampling across time
 We do not coordinate samples over time.
3.7 The software tool used in the sample selection
We used SAS (SURVEYSELECT procedure) software for the purposes of the calculation and the realization of the stratified selection itself.
3.8 Other relevant information, if any
Not available.

 

4. Use of administrative data sources
4.1 Name, time reference and updating

Administrative data sources were used to construct the frame. Administrative data was used for imputation and FSS 2016 data verification.

External registers:

  • Register of orchards, according to the Act 597/2006 Coll. as amended by the act 467/2008 Coll. and Decree 15/2009 of MPRV SR (Ministry of Agriculture and Rural Development of the Slovak Republic);
  • Register of vineyards, according to EU Regulations 479/2008 and 436/2009 (Commission Regulation (EC) No 436/2009 of 26 May 2009 laying down detailed rules for the application of Council Regulation (EC) No479/2008 as regards the vineyard register)
  • Farm animals central register (FACR) records (farms and facilities; owners and keepers; animals and events that concern them; transfers of animals; veterinary operations and controls) according to the act 39/2007 Coll. as amended by the act 342/2011 Coll. Animals by species on the basis of separate Decrees:
    • register of cattle, Decree 20/2012,
    • register of pigs, Decree 17/2012,
    • register of sheep, Decree 18/2012,
    • register of goats, Decree 18/2012;
  • Register of organic farms, according to the Act 189/2009 Coll. on organic agricultural production;
  • Register of applicants for the Single Area Payment Scheme (SAPS), according to the Regulation of the Government of SR 369/2012, file of applications submitted on 15-th May.
Time reference: 31 October.  Registers are updated continuously.
4.2 Organisational setting on the use of administrative sources
Act on State Statistics (540/2001 Coll.) provides access to data from other organizations. Since 2015 has the SO SR signed contract with the MPRV SR and the Agricultural Paying Agency concerning the regular provision of data. The contract contains the structure of the data, frequency of the data provision and the data format.
4.3 The purpose of the use of administrative sources - link to the file
Please access the information in the file at the link: (link available as soon as possible)

 

4.4 Quality assessment of the administrative sources
  Method  Shortcoming detected Measure taken
- coherence of the reporting unit (holding)  The definition of the reporting unit is equal to that used by the Statistical Office of the Slovak Republic.    
- coherence of definitions of characteristics  Not applicable.    
- coverage:  Not applicable.    
  over-coverage  Not applicable.    
  under-coverage  Not applicable.    
  misclassification  Not applicable.    
  multiple listings  Not applicable.    
- missing data  Not applicable.    
- errors in data  Not applicable.    
- processing errors  Not applicable.    
- comparability  Not applicable.    
- other (if any)  Not applicable.    

 

4.5 Management of metadata
Administrative data is stored as csv and xlsx files on the server or on an individual PC. The metadata are stored and maintained in a single central system and are available for all statistical surveys.
4.6 Reporting units and matching procedures
The definition of the reporting unit is equal to that used by the Statistical Office of the Slovak Republic. There are some problems concerning the linkage of the files in case of households that perform the agricultural activity for their own consumption, as those units do not have unambiguous identification. For the purposes of linking we use available items as surname, first name, address (postal code, name of municipality, street, house number).
4.7 Difficulties using additional administrative sources not currently used
We do not have any difficulties.
3.2. Frequency of data collection
Frequency of data collection
The frequency of data collection is conditional of Regulation 1166/2008. Currently two times between FSC.
3.3. Data collection
1. Data collection modes

Mixed-mode:

as the basis:

a/ internet - application allowing the survey units to complete questionnaire electronically;
b/ postal questionnaires - paper questionnaires - sent to some survey units by mail.

as the follow-up:

c/ telephone interviews with non-response units

Note: According to the Act on State statistics from 1 January 2016 reporting units are obliged to fill in and send questionnaire in an electronic form. The reporting unit who is a physical person or a physical person – entrepreneur and who by 31 December of previous calendar year does not have any employee, or the reporting unit who has a seat in the municipality without internet connection or signal can fulfil the obligation of providing data also by delivery of the questionnaire in a paper form (§ 18, article 5 of the act No. 540/2001 Coll. on Official Statistics, as amended).

Submission of questionnaires:

a/ electronically 40 %

b/ postal questionnaires 60%

 

2. Data entry modes

a/ entering data online by the farmer -questionnaire in an electronic form;

b/ data from paper questionnaires sent to us by mail were recorded at regional workplaces of the Statistical Office by hand typing.

 

3. Measures taken to increase response rates
Written reminders, call-back strategies, telephone reminders, training staff, giving priority to important holdings.

 

4. Monitoring of response and non-response
1

Number of holdings in the survey frame plus possible (new) holdings added afterwards

In case of a census 1=3+4+5

32 202
2

Number of holdings in the gross sample plus possible (new) holdings added to the sample

Only for sample survey, in which case 2=3+4+5

20 310
3 Number of ineligible holdings 5 304
3.1

Number of ineligible holdings with ceased activities

This item is a subset of 3.

 808
4

Number of holdings with unknown eligibility status

4>4.1+4.2

438
4.1 Number of holdings with unknown eligibility status – re-weighted 180
4.2 Number of holdings with unknown eligibility status – imputed 43
5

Number of eligible holdings

5=5.1+5.2

 14 568
5.1

Number of eligible non-responding holdings

5.1>=5.1.1+5.1.2

 83
5.1.1 Number of eligible non-responding holdings – re-weighted  -
5.1.2 Number of eligible non-responding holdings – imputed  83
5.2 Number of eligible responding holdings 14 485
6

Number of the records in the dataset 

6=5.2+5.1.2+4.2

14 611

 

5. Questionnaire(s) - in annex
See annex.


Annexes:
3.3-5 Questionnaire
3.4. Data validation
Data validation

Tools used for data validation: Information System of the SOSR, which ensures the data recording.

Level of data validation:

- at the level of the local collection center;

- at the level of the central data processing.

Data format checks, completeness check, range/outlier checks were defined during the preparation phase of programme intended for recording the statistical data. It is not possible to change those checks during the following phases of the processing the data.

3.5. Data compilation
Methodology for determination of weights (extrapolation factors)
1. Design weights
The proposal of weights corresponds to the inverse probability of unit selection.
2. Adjustment of weights for non-response
For the purpose of treating non-responses, we used re-weighting. Re-weighting was made by the standard weighing methods.
Firstly, we estimated the rate of the activity state of non-respondents. We estimated the rate of activity in the same proportion as for responding units. We estimated the rate of activity by two strata: region and LFA. Based on estimation of the rate of activity by responding units, the size of the sampling frame was adjusted. In the last step, new weights from the modified sampling frame corresponding to the reverse probabilities of unit selection were calculated.
3. Adjustment of weights to external data sources
Not applied.
4. Any other applied adjustment of weights
Not applied.
3.6. Adjustment

[Not requested]


4. Quality management Top
4.1. Quality assurance

[Not requested]

4.2. Quality management - assessment

[Not requested]


5. Relevance Top
5.1. Relevance - User Needs
Main groups of characteristics surveyed only for national purposes 
We have included national characteristics only in the group of livestock characteristics. We use more detailed structure as required and survey it for our own needs, which is to obtain information on the structure of animals kept in households (self-supply farms) through the structural survey. For these farms another survey is not realized. These characteristics serve for the comparability of data with other data from previous surveys FSS resp. FSC and for the needs of National Agricultural and Food Centre, branch: Research Institute of Agriculture and Food Economics.
5.2. Relevance - User Satisfaction

[Not requested]

5.3. Completeness
Non-existent (NE) and non-significant (NS) characteristics - link to the file. Characteristics possibly not collected for other reasons
Please access the information in the file at the link: (link available as soon as possible)
5.3.1. Data completeness - rate

[Not requested]


6. Accuracy and reliability Top
6.1. Accuracy - overall
Main sources of error
Due to the low value of the standard deviation, sampling errors are negligible. The non-response, which reached in households with UAA < 5 ha the value of 12.3%, could have an impact on quality.
6.2. Sampling error
Method used for estimation of relative standard errors (RSEs)

The relative standard error is the standard error divided by the point estimate, multiplied by 100.

We used the formula for standard error used by SAS manual:

6.2.1. Sampling error - indicators

1. Relative standard errors (RSEs) - in annex

 

2. Reasons for possible cases where precision requirements are applicable and estimated RSEs are above the thresholds
All RSEs values are below the thresholds stipulated in Annex IV of the Regulation 1166/2008.


Annexes:
6.2.1-1 RSE FSS 2016 for SK0
6.3. Non-sampling error

See below

6.3.1. Coverage error
1. Under-coverage errors
Insufficient coverage of units was not recorded.

  

2. Over-coverage errors

The over-coverage errors are caused by the units, which in the past carried out agricultural activities, but the data acquisition has shown that they stopped their activities. Those units are especially the households.

The data were corrected due to over-coverage.

Over-coverage units and units with unknown eligibility status were removed from the file. The calculation of weights takes into account both of these problems.
2.1 Multiple listings 
Multiple listings are not present in the survey.

 

3. Misclassification errors
We need not to resolve errors due to misclassification.

 

4. Contact errors
The staff of the regional offices of the SOSR was trained for the cases of the incomplete contact data. The same staff solved inaccuracies of addresses in cooperation with the local government. The rate of incomplete contact was about 6,9 %.

 

5. Other relevant information, if any
Not available.
6.3.1.1. Over-coverage - rate
Over-coverage - rate
Over-coverage rate reached 2,5 %.
6.3.1.2. Common units - proportion

[Not requested]

6.3.2. Measurement error
Characteristics that caused high measurement errors

Measurement errors may concern the employment characteristics of farms.

The elimination of such errors was secured in two ways. In the first place, we embedded control algorithms to the software for recording data in order to detect the most important errors arising from relationships between workers on the farm. During the creation of the file for Eurostat, we built in further algorithms in order to help detect also other possible errors.

All data errors have been corrected, but the error rate cannot be documented.

The cause of errors: the inability of respondents to provide accurate data (number of hours worked at the households farms (E_1_1, E_1_2, E_1_3)) and the difficulty of the characteristic (OGA).

Problems were encountered on items A_3_3_1 and A_3_3_2 for small household farms, because of the inability to provide data and the sensitivity of this issue.
6.3.3. Non response error
1. Unit non-response: reasons, analysis and treatment
We performed a non-response analysis. On the basis of unit non-response there were imputed 43 units in the sample survey part and 83 units in the census part of survey.

 

2. Item non-response: characteristics, reasons and treatment

Item non-response was treated in regional offices of the SOSR. The missing data were obtained by repeated telephone contact with the farms.
Most of item non-response occurred on the labour force characteristics and other gainful activities (OGA).

Item non-response occurred in small farms (households) that did not fill part of farm labor force for lack of record of necessary data. In large farms, the non-replies were exceptional and predominantly resulted from their inattention.

6.3.3.1. Unit non-response - rate
Unit non-response - rate
2.1%.

The reasons for the unit non response were as follow:

  • demise of farms
  • owner died
  • farms stopped their agricultural activities
  • liquidation of farms
  • change of activities
  • farms did not even start their activities
  • contact with farms was not successful
  • suspended activity of farms.
6.3.3.2. Item non-response - rate
Item non-response - rate
After obtaining all additional missing data, item non-response rate is 0%.
6.3.4. Processing error
1. Imputation methods
In the case of unit non-response, the imputation used mainly information from our database.

 

2. Other sources of processing errors

Any errors in processing were continuously removed.

Follow-up interviews were conducted with non-response item.

 

3. Tools used and people/organisations authorised to make corrections
Trained staff of regional workplaces of SO SR.
6.3.4.1. Imputation - rate
Imputation - rate
Imputation rate was 0,6 % (126 farms) of the total number of eligible farms in the sample. Imputation is based on historical data and data from administrative resources.
6.3.5. Model assumption error

[Not requested]

6.4. Seasonal adjustment

[Not requested]

6.5. Data revision - policy
Data revision - policy

We do not consider to revise the data from previous surveys.

We do not consider to revise the data from FSS surveys (in general, including the current FSS survey).

6.6. Data revision - practice
Data revision - practice
We did no revisions.
6.6.1. Data revision - average size

[Not requested]


7. Timeliness and punctuality Top
7.1. Timeliness

See below

7.1.1. Time lag - first result
Time lag - first result
Preliminary data will be published in December 2017, which is 12 months after the reference period.
7.1.2. Time lag - final result
Time lag - final result
Definitive data will be published in April 2018, which is 16 months after the reference period.
7.2. Punctuality

See below

7.2.1. Punctuality - delivery and publication
Punctuality - delivery and publication
The data are published according to the specified schedule.


8. Coherence and comparability Top
8.1. Comparability - geographical
1. National vs. EU definition of the agricultural holding
There is no difference between the national and the EU definition of the holding.

 

2.National survey coverage vs. coverage of the records sent to Eurostat
There is no difference between the population covered in the national survey and the population covered by the records sent to Eurostat. The same thresholds have been established.

 

3. National vs. EU characteristics
Definitions are in compliance with the Handbook on implementing the FSS definitions (FSS WG /2015/11/revision1) from 30 November 2015. No different definitions.
The number of hours corresponding to a full-time employee is 1 800 hours per year.

 

4. Common land
4.1 Current methodology for collecting information on the common land
Common land does not exist in our country.
4.2 Possible problems encountered in relation to the collection of information on common land and possible solutions for future FSS surveys
Not applicable.
4.3 Total area of common land in the reference year
Not applicable.
4.4 Number of agricultural holdings making use of the common land or Number of (especially created) common land holdings in the reference year
Not applicable.

 

5. Differences across regions within the country
Negative impact on the 2016 production was caused by the extremely high temperatures without rainfall in the middle of the growing season in July. Fluctuations in weather conditions significantly affect the crop production due to the low share of irrigated areas in the Slovak Republic.

 

6. Organic farming. Possible differences between national standards and rules for certification of organic products and the ones set out in Council Regulation No.834/2007
No differences.
8.1.1. Asymmetry for mirror flow statistics - coefficient

[Not requested]

8.2. Comparability - over time
1. Possible changes of the definition of the agricultural holding
There have been no changes.

 

2. Possible changes in the coverage of holdings for which records are sent to Eurostat
There have been no changes. Data comparability with the previous survey is not broken.

 

3. Changes of definitions and/or reference time and/or measurements of characteristics
There have been no changes.

 

4. Changes over time in the results as compared to previous FSS, which may be attributed to sampling variability

Data FSS 2016 are comparable with the data of the FSS 2013.

For the farms of legal persons, registered natural persons and non-registered natural persons with area >= 5 ha, the survey was carried out as census. For farms with less acreage, a sample survey was designed.

 

5. Common land
5.1 Possible changes in the decision or in the methodology to collect common land
Common land does not exist in our country.
5.2 Change of the total area of common land and of the number of agricultural holdings making use of the common land / number of common land holdings
Not applicable.

 

6. Major trends on the main characteristics compared with the previous FSS survey
Main characteristic Current FSS survey Previous FSS survey Difference in % Comments
Number of holdings 25 658

23 566

8,9  
Utilised agricultural area (ha) 1 889 819 

1 901 614

-0,6  
Arable land (ha) 1 346 503 

1 363 419

-1,2  
Cereals (ha) 757 814  770 580 -1,7  
Industrial plants (ha) 256 864  258 853 -0,8  
Plants harvested green (ha) 233 809  270 443 -13,6  Due to declining numbers of animals, it is not necessary to grow the forage on the arable land. The land has been moved to fallow land and permanent grassland.
Fallow land (ha) 44 390 

21 145

110

An important part is arable land, on which no fodder was grown

Permanent grassland (ha) 524 535 

518 339

1,2  
Permanent crops (ha) 18 354 

18 923

-3  
Livestock units (LSU) 621 592 

644 825

-3,6  
Cattle (heads) 452 459 

468 213

-3,4  
Sheep (heads) 374 061  399 442  -6,4  
Goats (heads) 16 407  13 148 24,8  The increase in pieces is not significant. It grows an interest in goat milk products (yoghurt and cheese).
Pigs (heads) 483 981  544 128 -11,1  The animal stocks have been declining for a long time due to high meat imports at dumping prices with which farms cannot compete.
Poultry (heads) 12 057 051  11 356 122 6,17  
Family labour force (persons) 40 297 

39 093

3,1
  
Family labour force (AWU) 12 817 

13 962

-8,2 
Non family labour force regularly employed (persons) 38 879 

 40 924

-5  
Non family labour force regularly employed (AWU) 32 285 

35 063

-7,9  
8.2.1. Length of comparable time series

[Not requested]

8.3. Coherence - cross domain
1. Coherence at micro level with other data collections

Data were compared at the micro level with the data from internal and external sources.

Comparisons with the internal data:

- FSS land use with data from regular statistical survey Inventory of areas sown by agricultural crops   on 20th May 2016,

- FSS main categories of livestock,  poultry in total, cattle in total, cows, sheep in total and pigs in total with results from the annual survey on Inventory of farming animals on 31th December 2016,

- FSS data with the results of the FSC 2013.

 

Comparisons with external data:

- FSS list and data of organic farms with the register kept in the Central Controlling and Testing Institute in Agriculture that registers and controls organic farms based on the act.

- obtained FSS data was compared with data from SAPS (Single Area Payment Scheme).

- FSS total numbers of animals were compared with the data from the Central register of livestock. Comparison was made for the following animals - cattle, pigs, sheep and goats.

These comparisons were made for all three groups of reporting units such as registered legal persons, registered natural persons and non-registered natural persons (households). Differences were tested during decentralized data processing at the workplaces of the Statistical Office, which carried out the data collection and checks.

For entrepreneurial subjects data can be combined with results from other sources. Data for households (subsistence farms) cannot be linked with other data. The differences do not arise from the different methodology.

 

2. Coherence at macro level with other data collections

Comparisons at the macro level:

- with the FSC 2010 data,

- with data from SAPS,

- with the data from the central register of livestock,

- with SOSR internal data.

For entrepreneurial subjects data can be combined with results from other sources. Data for households (subsistence farms) cannot be linked with other data. The differences do not arise from the different methodology.

 

Item code Type of comparison Difference in  %
A_3_1 (UAA) FSS_2016/SAPS -0,2
C_2 (bovine animals) FSS_2016/Farm animals central register -0,6
C_3_1 (sheep) FSS_2016/Farm animals central register -3,5
C_4 (pigs) FSS_2016/Farm animals central register 2,9
C_3_2 (goats) FSS_2016/Farm animals central register -6,5
A_3_2_3 (UAA converted to organic farming or certified) FSS_2016/Register of organic farms 0
8.4. Coherence - sub annual and annual statistics

[Not requested]

8.5. Coherence - National Accounts

[Not requested]

8.6. Coherence - internal

[Not requested]


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

[Not requested]

9.2. Dissemination format - Publications
1. The nature of publications

Preliminary information contains the main characteristics of survey at the national level.

First publication will contain the characteristics of the survey according to the legal status of the farm and the regional breakdown by NUTS 3 level.

Second publication will include the typology by NUTS 2.

 

2. Date of issuing (actual or planned)
Preliminary data in December 2017. Final data in April 2018.

 

3. References for on-line publications
Final publications: complete results, typology
9.3. Dissemination format - online database
Dissemination format - online database
We do not have online database for the purposes of dissemination of the FSS 2016 results yet.
9.3.1. Data tables - consultations
Data tables - consultations
We do not have online data tables. The results are published at our website in the form of publications. The potential questions are replied in the moment when they come to the responsible department.
9.4. Dissemination format - microdata access
Dissemination format - microdata access

The Act on State Statistics does not allow an access to confidential data for current users. The Statistical Office may provide confidential data for scientific purposes to legal persons, who have scientific research as a basic mission and provide conditions for their protection.

Data are provided in the form:

a/ complete confidential data are provided only to the MPRV SR (Ministry of Agriculture and Rural Development of the Slovak Republic) within the data exchange,

b/ anonymised data which does not allow direct identification of legal or physical persons, to other organisations than the MPRV SR.
9.5. Dissemination format - other

[Not requested]

9.6. Documentation on methodology
1. Available documentation on methodology
Questionnaire and methodological instructions

 

2. Main scientific references
Not available.
9.7. Quality management - documentation
Quality management - documentation
Not available.
9.7.1. Metadata completeness - rate

[Not requested]

9.7.2. Metadata - consultations

[Not requested]


10. Cost and Burden Top
Co-ordination with other surveys: burden on respondents
We analyzed all agricultural statistical surveys and all available administrative data sources. We compiled the questionnaire of the FSS survey in such a way that respondents did not need fill in data which can be obtained from other sources.


11. Confidentiality Top
11.1. Confidentiality - policy
Confidentiality - policy
Data protection is governed by the internal directive SME- 1/2015 and methodical directions MET-1/2013 of the SO SR and Act No. 540/2001 Coll. on State Statistics (§ 29-33).
11.2. Confidentiality - data treatment
Confidentiality - data treatment
Data protection in output tables are published if the data results from aggregating at least three non-null values from at least three statistical units.


12. Comment Top
1. Possible improvements in the future
No suggested improvements.

 

2. Other annexes
Not available.


Related metadata Top


Annexes Top