Farm structure (ef)

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

Compiling agency: Ministry of Agriculture, Food and Forestry 

Time Dimension: 2016-A0

Data Provider: BG6

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

Ministry of Agriculture, Food and Forestry 

1.2. Contact organisation unit

Directorate Agriculture and Land Relations

Agrostatistics Department 

1.5. Contact mail address

55, Blvd. Hristo Botev, Sofia 1040, Bulgaria 


2. Statistical presentation Top
2.1. Data description
1. Brief history of the national survey 
In 2003 the Ministry of Agriculture and Forestry carried out the first census of agricultural holdings of Bulgaria in accordance with the EU legislation.

In 2005 and 2007 farm structure sample surveys based on list of holdings from Agricultural Census 2003 were conducted. Stratified sample of 40 000 holdings was designed. Methodology and definitions of the characteristics used were similar to those of the census, thus ensuring comparability with the results of the other EU Member States.

In the second half of 2010 the Ministry of Agriculture, Food and Forestry (MAFF) carried out the farm structure survey (FSS) and the survey on agricultural production methods (SAPM) on the entire country’s territory in accordance with the Law on Agricultural Census 2010 in Bulgaria. This was the first census carried out in Bulgaria being a member of the European Union (EU) and the second one, in compliance with the legislation of the EU. The census was conducted using a methodology consistent with the requirements of Regulation (EC) No 1166/2008 of the European Parliament and of the Council of 19 November 2008 on farm structure surveys and the survey on agricultural production methods and repealing Council Regulation (EEC) No 571/88 and Regulation (EC) No 1200/2009 of 30 November 2009 implementing Regulation (EC) No 1166/2008 of the European Parliament and of the Council on farm structure surveys and the survey on agricultural production methods, as regards to livestock unit coefficients and definitions of the characteristics. This ensured comparability of the results on the structure of agricultural holdings in Bulgaria and agricultural production methods with those of the EU Member States (MS).

The FSS surveys are the main source of information on the status and trends in agriculture. It has to provide a current economic, social and environmental overview of the agrarian sector needed for the decision making in the Common Agricultural Policy (CAP). The census data was taken as a basis for sampling of the FSS sample surveys and of the annual production surveys, to define the field of observation of the Farm Accountancy Data Network (FADN) and to start the creation a statistical farm register.

 

2. Legal framework of the national survey 
- the national legal framework The FSS 2016 was conducted in accordance with Regulation (EC) No 1166/2008 of the European Parliament and of the Council of 19 November 2008 on farm structure surveys and the survey on agricultural production methods and repealing Council Regulation (EEC) No 571/88, and Commission Regulation (EC) No 1200/2009 of 30 November 2009 and Regulation (EC) No 715/2014, implementing Regulation (EC) No 1166/2008 of the European Parliament and of the Council on farm structure surveys and the survey on agricultural production methods, as regards to livestock unit coefficients and definitions of the characteristics. The country applied lower national thresholds set out in the Law on Agricultural Census in 2010. 
- the obligations of the respondents with respect to the survey Respondents are obliged to provide information to statistical surveys included in the National Statistical Programme (Law on Statistics).  
- the identification, protection and obligations of survey enumerators Interviewers are identified with service cards and are obliged to interview the agricultural holdings and fill in the paper questionnaire. The interviewers' obligations are set in the service contract they sign with the MAFF. 
2.2. Classification system

[Not requested]

2.3. Coverage - sector

[Not requested]

2.4. Statistical concepts and definitions
List of abbreviations 
EGN - Personal No.

IACS - Integrated Administration and Control System

IAE - Institute of Agricultural Economics

MAFF - Ministry of Agriculture, Food and Forestry

VetIS - Integrated information system for animal identification

2.5. Statistical unit
The national definition of the agricultural holding
According to Law on Agricultural Census 2010 Agricultural holding or “holding” is a separate technical and economic unit which has a single management and which produces agricultural products or maintains agricultural land, which is no longer used for production purposes, in good agricultural and environmental condition as defined in Article 2(a) of Regulation (EC) No 1166/2008.

The Law of Agricultural Census in 2010 defines the agricultural holding. The definition did not change since 2003 for the reason of comparison of the results. Agricultural activities are the same as in Annex I of the Regulation No 1166/2008.

2.6. Statistical population
1. The number of holdings forming the entire universe of agricultural holdings in the country
The exact holdings number below the threshold is not available. There is no farm register including all the holdings. 

 

2. The national survey coverage: the thresholds applied in the national survey and the geographical coverage
The survey covers all agricultural holdings, meeting at least one of the following criteria:

Cultivation of at least:

a) 0.5 ha (5 dca) of agricultural area used (A_3_1);

b) 0.3 ha (3 dca) of arable land (B_1_1+B_1_2+…+B_1_11+B_1_12);

c) 0.5 ha (5 dca) of natural meadows (B_3);

d) 0.1 ha (1 dca) of orchard (pure culture) (part of B_4_1);

e) 0.1 ha (1 dca) of vineyard; (B_4_4);

f) 0.1 ha (1 dca net) of specialised crops (vegetables (B_1_7), hops (B_1_6_2), tobacco (B_1_6_1), spices, medical and essential oil crops (B_1_6_12), flowers, ornamental plants (B_1_8), berries (part of B_4_1), mushrooms (B_6_1), nurseries (B_4_5) etc.);

g) 0.05 ha (0.5 dca) of greenhouses (B_1_7_2+B_1_8_2)

 

Keeping of at least:

a) 1 cow (C_2_5+C_2_6);

b) 1 buffalo-cow ;

c) 2 cattle (C_2);

d) 2 buffaloes;

e) 1 female for reproduction (equidae);

f) 2 working animals (equidae);

g) 5 pigs (C_4);

h) 1 breeding-sow (C_4_2);

i) 5 breeding-ewes (C_3_1_1);

j) 2 breeding she-goats (C_3_2_1);

k) 50 laying hens (C_5_2);

l) 100 chicken for fattening (C_5_1);

m) 10 honey-bee colonies (C_7);

n) 10 rabbits (breeding females) (C_6);

o) 1 reproductive male animal used for natural mating - bull, stud, boar;

p) special animal and fowl species – 1 000 birds (C_5), 1 000 quails, 30 other birds (turkeys, geese, ducks etc.), ostriches (C_5_3) angora goats, angora rabbits, minks, nutrias, silkworms etc.

Animal production: 10,000 eggs; 200 rabbits; 100 chickens for fattening; 10 lambs and / or goats; 5 pigs; 2 calves.

Production of mushrooms - 500 kg mushrooms.

The farm threshold applied is lower than the one required by Eurostat.

All geographical areas are covered.

The map presented in the Figure shows the grouping of statistical regions – level 2 according to the Nomenclature of Territorial Units for Statistics (NUTS) of the European Union under Regulation (EC) No 176/2008.

The districts on NUTS 3 level according to the Regional Development Act are distributed as follows:

Severozapaden (North-West Region)               - Vidin, Vratsa, Montana, Lovech and Pleven;

Severen tsentralen (North-Central Region)    - Veliko Tarnovo, Gabrovo, Rousse, Razgrad and Silistra;

Severoiztochen (North-East Region)                - Varna, Dobrich, Targovishte and Shumen;

Yugoiztochen (South-East Region)                   - Bourgas, Sliven, Yambol and Stara Zagora;

Yugozapaden (South-West Region)                  - Blagoevgrad, Kyustendil, Pernik, Sofia (capital) and Sofia;

Yuzhen tsentralen (South-Central Region)     - Kardzhali, Pazardzhik, Plovdiv, Smolyan and Haskovo.

 

 

3. The number of holdings in the national survey coverage 
201014 agricultural holdings and 264 units with common land for grazing livestock.

 

4. The survey coverage of the records sent to Eurostat
There is no difference between the national target population and the records sent to Eurostat. However for national purposes the units providing common land for use are excluded from the analysis.  

 

5. The number of holdings in the population covered by the records transferred to Eurostat
201014 agricultural holdings and 264 units with common land for grazing livestock.

 

6. Holdings with standard output equal to zero included in the records sent to Eurostat
There are 125 agricultural holdings in the sample, equal to 659 in the population with standard output equal to zero. They have data in B_1_12 (fallow land) and/or B_3_3 (permanent grassland no longer in production purposes), the land being kept 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
Article 3.2 is not applicable as the survey uses a threshold for UAA lower than 1 hectare.

 

8. Proofs that the requirements stipulated in art. 3.3 the Regulation 1166/2008 are met in the data transmitted to Eurostat
The farm thresholds applied are lower than the ones required by Eurostat.
2.7. Reference area
Location of the holding. The criteria used to determine the NUTS3 region of the holding
Second priority condition - in case the holding has no building, the larger part of the UAA is used to determine the holding's location;
First priority condition - the agricultural holding is located where the building (agricultural building, store, hangar) is located. 
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)
Reference period for data collection:

 

Characteristics Reference period
Area from 1 October 2015 to 30 September 2016
Livestock 1 September 2016
Rural development measures Last 3 years (2014, 2015, 2016)
Labour force from 1 September 2015 to 31 August 2016
2.9. Base period

[Not requested]


3. Statistical processing Top
1.Survey process and timetable
Calendar

A detailed program for preparation and conduct of the survey activities was prepared and approved by the Minister of Agriculture, Food and Forestry. Most of the activities were carried out according to it.

TIMETABLE TO CARRY OUT EACH STAGE OF THE ACTION FSS 2016   
Activity Timetable
Analysis and elaboration of survey methodology January - February 2016
Sample design and drawing of a sample April - June 2016
Questionnaire design in accordance with Regulation (EC) 715/2014 and determination of the characteristics to be included in the questionnaire March - May 2016
Instruction and other documents required for the survey May - July 2016
Preparation of a technical specification for launching a public tender procedure for the creation and implementation of a computer program for electronic data entry, data control and data processing (including Internet connections and the necessary technical equipment).

November 2015 - June 2016

Testing of the statistical questionnaire June 2016
Selection of surveyors for data collection from the holdings July - August 2016
Organization of activities: Preparation of administrative documents (administrative documents for starting of the survey and contracts with the participants). July - August 2016
Development of software for data entry and data control. March - October 2017
Final version of the questionnaire and print of materials July - August 2016
Training of experts from 28 regional offices and surveyors May - August 2016
Preparation and verification of holdings list June- August 2016
Data collection September - December 2016
Data control for the main characteristics and completeness of the list November 2016 - February 2017
Training of regional experts from the 28 regional offices to work with the data input software June - October 2017
Software data entry October - November 2017
Data control and data processing November - December 2017
Data control and compliance with other sources of administrative information at central level November - December 2017
Preparation and dispatch of a validated FSS-2016 file to Eurostat December 2017
Preparation, translation and transmission of National quality and methodological report for FSS 2016 December 2017
Preparation of the publication of results (bilingual) January - March 2018
Preparation and submission of financial statements to Eurostat August 2018

 

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

The organisation and allocation of responsibilities of the FSS activities were divided into two levels – central and regional level.

Activities carried out at central level (Agrostatistics Department in the Ministry of Agriculture, Food and Forestry):
1. Draft of the legal and administrative documents for the FSS;
2. Elaboration of the legal acts and administrative records for the FSS;
3. Organisational and methodological guidance;
4. Establishment of the final list of holdings ;
5. Financial and technical support;
6. Data control and data processing, data transmission to Eurostat;
7. Data dissemination to the interested users;
 
Activities carried out at regional level (regional statistical offices at NUTS 3 level):
1. Examination/correction of the lists of holdings at regional level;
2. Contracts concluded with the census participants – surveyors and operators;
3. Organisation of training of the surveyors and operators;
4. Collection and control of questionnaires;
5. Data entry in a computer module;
6. Report of the payments;
7. Correction of errors in the computer module;

 

3. Serious deviations from the established timetable (if any)
Delay in announcing a public procurement contract for an on-line data entry system and delays in its application and therefore delay in the deadlines for data entry and control.
3.1. Source data
1. Source of data
Data sources are: a combination of 1 - administrative data from the State Fund Agriculture for the characteristics of Rural development support - from G_2_1 to G_2_17 and Ecological focus area - M_3_1 and 2 - Sample surveys for the remaining characteristics. For data control, imputation in case of refusals and undiscovered owners and the list updates are used:  IACS-SAPS, Bovine register, Integrated information system for animal identification - VetIS, Register of agricultural holders, Organic register and Vineyard Register

 

2. (Sampling) frame
The main sample was selected by Census 2010, new farms from administrative sources are included in a sample - IACS, Vineyard register, Integrated information system for animal identification - VetIS, farm register. The organic farms and farms identified in statistical studies conducted after 2010 are surveyed exhaustively.

Type of frame: List frame

 

3. Sampling design
3.1 The sampling design
Single-stage stratified random sampling of holdings is used. The selection within each stratum is purely random. The sampling design is probabilistic.
3.2 The stratification variables
Holdings are stratified by district (NUTS3), farm type and size. 
3.3 The full coverage strata
Considering the low number of holdings in the group of largest farm size and the high variance in the strata with this farm size it was decided to put all holdings with SO equal or greater than 50 000 Euro in an exhaustive “1100” stratum. There are 28 strata “1100” – one for each district. There are 6 073 agricultural holdings in strata “1100”.
Additional exhaustive stratum “1000” stratum was defined in order to improve the precision for some of the variables of interest for which the requested CV of 5% was not achieved with the initial stratification. There are 28 strata “1000” – one for each district. There are 4 503 agricultural holdings in strata “1000”. The criteria are presented here below:
Regardless of the type of farm and if the farm size is less than 50 000 Euro, and if any of the conditions is fulfilled:
'if (SO < 50000 Euro); if (A_3_2_1 > 0 ha); if (A_3_2_2 > 0 ha); if (A_3_2_3 > 0 ha); if (A_3_2_4_1 > 0 number); if (A_3_2_4_2 > 0 number); if (A_3_2_4_3 > 0 number); if (A_3_2_4_4 > 0 number); if (A_3_2_4_5 = 'y'); if (C_99 = 'y'); if (B_1_1_7 > 0 ha); if (B_1_6_2 > 0 ha); if (B_1_6_3 > 0 ha); if (B_1_4 > 0 ha); if ((B_1_6_9 + B_1_6_10 + B_1_6_11) > 0 ha); if (B_1_6_1 >= 5 ha); if (B_1_3 >= 5 ha); if (B_1_7 >= 5 ha); if (B_4_4  >= 5 ha); if (B_4_1_1 >= 5 ha); if ((B_3 - B_3_2) >= 100 ha); if (B_6_1 >= 0.001 ha); if (C_2_99 >= 4 number); if (C_3_2 >= 50 number); if (Buffalo-cows >= 5 number); if (Buffaloes >= 10 number); if (Oil rose >= 4 ha).'

The agricultural holdings from the Organic Register are observed exhaustively . Part of the new holdings, observed in the previous statistical surveys, have been observed exhaustively. These holdings are in the strata "99999"; "90000" with weight 1. Due to the large number of new holdings, some of them were sampled. The sample is designed according to the type of crops and animals and their size - area and number of animals over a certain threshold were observed exhaustively.

Due to the large number of new farms, some of them have been sampled. Their sample is designed according to the type of crops and animals and their size - area and number of animals.
Common land holdings (special holdings created to report common land) were added to the sample in "88888" stratum with a weight equal to one. 

3.4 The method for the determination of the overall sample size
The total observed holdings are 44 423 units of which 30 000 are from the main sample of Census 2010, 14 423 new holdings and holdings from the Bio Register have been added. Of 44 423 totally, 24 283 have a weight of 1.
3.5 The method for the allocation of the overall sample size
Main sample - The allocation method used is Neyman allocation. Variable: SO.
3.6 Sampling across time
No sampling across time. 
3.7 The software tool used in the sample selection
SPSS 
3.8 Other relevant information, if any
Not available.

 

4. Use of administrative data sources
4.1 Name, time reference and updating
Bovine register, System for identification and registration of animals VetIS -  data control or to replace missing data for large farms as well as identification of new holdings. The data is saved in VetIS system, administered by the Food Safety Agency.

LEGAL BASIS: Veterinary Information System VetIS is built in full compliance with the requirements and principles of the veterinary legislation of the EU and the World Organisation for Animal Health and the corresponding Bulgarian legislation. The main legal acts setting the maintenance of VetIS are: - Law on Veterinary Activity, published in SG No 87 of 1 November 2005, in force of 1 May 2006, art. 51-56; art. 7; art. 132-139d; art. 118 etc.; - Agricultural Producers’ Support Law, published in SG No 58 of 22 May 1998 and its amendments;  - Law on the Implementation of the Common Market Organization of Agricultural Products of the EU, published in SG No 96 of 28 November 2006; - Ordinance No 6 of 08 October 2013 on the requirements on the instruments for official identification of the animals and their use, the terms and control over the collection, entry, maintenance and use of the information in the Integrated Information System of the Bulgarian Food Safety Agency, published in SG No 90 of 2013 and its amendments; - Ordinance No 61 of 9 May 2006 on the terms of official identification of the animals for which there are not requirements in the EU regulations (title changed in SG no 90, of 2013 in force of 15 October 2013);  - Ordinance No 105 of 22 August 2006 on the terms of establishment, maintenance, access and use of the integrated system for administration and control, issued by the MAF, published in SG No 82 of 10 October 2006 and its amendments; - Ordinance No 44 of 20 April 2006 on the veterinary requirements to the livestock breeding sites, published in SG No 41 of 19 May2006 and its amendments; - Regulation (EC) No 1760/2000 of the European Parliament and of the Council of 17 July 2000 establishing a system for the identification and registration of bovine animals and regarding the labelling of beef and beef products and repealing Council Regulation (EC) No 820/97; - Council Regulation (EC) No 21/2004 of 17 December 2003 establishing a system for the identification and registration of ovine and caprine animals and amending Regulation (EC) No 1782/2003 and Directives 92/102/EEC and 64/432/EEC; - Council Regulation (EC) No 1560/2007 of 17 December 2007 amending Regulation (EC) No 21/2004 as regards the date of introduction of electronic identification for ovine and caprine animals; - Commission Regulation (EC) No 933/2008 of 23 September 2008 Amending the Annex to Council Regulation (EC) No 21/2004 as Regards the Means of Identification of Animals and the Content of the Movement Documents.

updating: System for identification and registration of animals – continuously

Organic register - data control, identification of new holdings. Organic register (database on producers, processors and traders of agricultural organic products and foods), used for data control and list update.

LEGAL BASIS: The database is maintained in accordance with the provisions of Art. 28, para. 5 of Regulation (EC) No 834/2007 and Art. 16, para. 3, item 1 of the Implementing Act of the Common Organization of the Agricultural Markets of the European Union.

updating: Organic register - continuously.

Register of agricultural holders - data control, identification of new holdings.

LEGAL BASIS: Agricultural Producers Support Law (APSL), published in SG No 58 of 22 May 1998 and its amendments; - Ordinance No 3 of 29 January 1999 on the establishment and maintenance of the Register of Agricultural Holders (RAH) and its amendments.

Owner of the dat a: According to art 15 of Ordinance No 3/1999 the Ministry of Agriculture, Food and Forestry (MAFF) establishes and maintains information system of the register of agricultural holders.
The information system has two levels – national (central) and district level. The registration of agricultural holders is done at the district level. The information system at central level is built and filled in with data from the RAH by MAFF’s District Directorates “Agriculture”.

updating: From 1 October to 28 February the agricultural holders submit updated information about their activity using special questionnaires and forms.
Within one month after any change that has occurred or within the period for up-date mentioned here above, each registered agricultural holder can update the information about his/her business in the relevant municipal or district administration unit of MAFF.
Upon termination of activities the agricultural holder is obliged within one month to submit to the director of the District Directorate “Agriculture” a declaration for removal from the register. 
In case of removal from the register or missed certification within the period for update the agricultural holder can register again for the next economic year.

Vineyard Register - data control, identification of new holdings.

LEGAL BASIS: Council Regulation (EC) No 479/2008 of 29 April 2008 on the common organisation of the market in wine, amending Regulations (EC) No 1493/1999, (EC) No 1782/2003, (EC) No 1290/2005, (EC) No 3/2008 and repealing Regulations (EEC) No 2392/86 and (EC) No 1493/1999 - Commission Regulation (EC) No 436/2009 of 26 May 2009 laying down detailed rules for the application of Council Regulation (EC) No 479/2008 as regards the vineyard register, compulsory declarations and the gathering of information to monitor the wine market, the documents accompanying consignments of wine products and the wine sector registers to be kept - Regulation (EU) No 1308/2013 of the European Parliament and of the Council of 17 December 2013 – art. 145 setting that the Member States shall maintain a vineyard register which shall contain updated information on the production potential - Wine and Spirit Drinks Act ¬ published in SG No 45 of 15 June 2012, in force of 16 September 2012 - Ordinance No 12 of 19 October 2005 on the rules and procedures of establishment and maintenance of register of wine-grower holdings and specialised vineyards map.

Owner of the data: According to art. 27 of the Law on wine and spirit drinks the Executive Agency on Vine and Wine (EAVW) maintains the Vineyard Register, which contains up-to-date information on the production potential.

updating: Date in the Vineyard Register is permanently up-dated with the declarations and requests submitted by the producers for: - structural changes – in case of adding properties (by purchase or rent), excluding properties (by sell or discontinuing of the rent), partition or joining of properties, and change in the type of management of the property; - end of planting with rights from the National Reserve for planting of vineyards with wine grapes varieties; - end of grubbing-up; - end of replanting.
Producers of wine grapes and wine producers declare each year the quantities produced within the previous year. Wine producers and traders also declare annually their stocks. 

IACS-SAPS data control and identification of new holdings and imputation when non-response.
State Fund Agriculture for the measures of the National Rural Development Programme.

ORDINANCE № 105 OF 22 AUGUST 2006 ON THE TERMS AND PROCEDURE FOR ESTABLISHING, MAINTAINING, ACCESSING AND USING THE INTEGRATED ADMINISTRATION AND CONTROL SYSTEM; § 4. The Ordinance is issued pursuant to Art. 30, paragraph 6 of the Farmers Support Act.

Art. 1. (Amended – SG, Issue 16 of 2015)
(1) This Ordinance shall regulate the terms and procedure for establishing, maintaining, accessing and using of:
1. System for registration of the candidates, the aid applications and the payment requests - once a year;
2. Land Parcels Identification System (LPIS);
3. System for identification and registration of animals;
4. Integrated control system;
5. Integrated information system (electronic database) -  updating: System for identification and registration of animals - continuously; SAPS -  Registration is done annually with option for correction of the area in the application (from  March to June of the current year); Organic register - continuously.
(2) The electronic database under paragraph 1, point 5 includes data from the systems under points 1, 2 and 3 and from external databases.

Art. 2.
(1) The systems under Art. 1 are established and maintained :
1. under points 1, 4 and 5 - by the Paying Agency (PA);
2. under point 2 - Ministry of Agriculture, Food and Forestry;
3. (amendment – SG, Issue 21 of 2012) under point 3 - from the Bulgarian Agency for Food Safety (BAFS).
(2) The systems under Art. 1, points 1, 2, 3 and 5 shall be set up  and maintained on the basis of registries and graphic information as computerized databases.

Art. 28.
(1) (Amended - SG. Issue 16 of 2015) The Paying Agency sets up an Integrated information system uniting the data from the system for registration of the candidates,  of the aid applications and the payment requests, LPIS and the system for  identification and registration of animals.
(2) The Integrated Information System is created and maintained in accordance with:
1. information strategy approved by the executive director of PA;
2. established rules and procedures for information systems and databases in PA;
3. the international standards for information systems;
4. the requirements of EU legislation;
5. (new – SG, Issue 21 of 2012) the requirements of the Personal Data Protection Act, the Access to Public Information Act and the eGovernment Act.

4.2 Organisational setting on the use of administrative sources
Agrostatistics representatives have been invited to discussions on the unification of the used nomenclatures in the IACS and the Register of agricultural holders. However, it is not possible to use all the statistical definitions for CAP. The nomenclatures of the Organic register were discussed. For statistical purposes, queries were created to allow grouping of VetIS data in line with animal categories observed in statistics.

Law on statistics:

Article 4. (Supplemented, SG No. 81/2005, amended, SG No. 98/2008)
(1) Data necessary for the statistical survey, including individual data, shall be collected directly from the statistical units as well as from administrative sources.
(2) Collection of individual data directly from statistical units shall be carried out on the basis of compulsory or voluntary participation of natural persons, households, economic units or other organisations.
(3) The statistical authorities shall provide the National Statistical Institute with data, including individual data, necessary for development and production of the official national or European statistical information.
(4) To reduce the administrative burden and costs for development and production of official national or European statistical information the National Statistical Institute and the statistical authorities shall receive data, including individual data, as well as aggregate information from administrative sources set up and maintained by other government authorities.

4.3 The purpose of the use of administrative sources - link to the file
Please access the information in the file at the following 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) Personal Number/BULSTAT The units in administrative sources do not correspond directly to the definition of required statistical units. Difference in the definition of applicant for support in the IACS register and the statistical definition of agricultural holding: In IACS there is not a requirement about single management and it is possible to split one holding by registering different members of the family as different agricultural holders (in the case of family run agricultural holdings) or by separate registering of subsidiaries of the same agricultural holding (in the case of larger holdings). Observed is also the unification of several small holdings into one when applying to IACS. It's difficult to achieve compliance. The correspondence is established after a conversation with the owners and additionally based on collected URN data upon registration in the IACS, but the information is difficult to collect. The most secure EGN / Bulstat identification is sensitive.
- coherence of definitions of characteristics The main characteristics are coherent, for the livestock categories, additional groupings by age and destination will deliver coherence.    
- coverage:      
  over-coverage   Different population coverage. State Fund Agriculture covers all units accepted for subsidizing under the rural development measures. There are cases of some records in Vineyard Register, Bovine register, System for identification and registration of animals, Organic register Not all available data on aid schemes and measures is used. During the survey out-of-date records get detected.
  under-coverage   The registration in IACS is not obligatory. There are agricultural holdings (including larger ones) that don’t apply for subsidies because they do not want or because the eligibility criteria for utilised agricultural area cannot be met (e.g. highland pastures with share of permanently non-eligible elements larger than the allowable percentage). 

Part of the parcels/holding is not eligible for support and therefore not registered in IACS due to the minimum threshold for parcel/holding size. 

Legal grounds for the land use are requested when registering in IACS. Some famers have not (could not) settled the legal grounds for all the agricultural land that they use. In reality they use some land without a legal agreement with the owners. This land is not eligible for support and therefore cannot be registered in IACS. For statistical purposes there is not a requirement about settling the legal grounds for land use and the land for which use farmers don’t have a legal agreement with the owners is in the statistical coverage.

The small units are not part of the administrative sources and so far just the census provides information about them.
  misclassification   -  
  multiple listings   No duplicates.  
- missing data   -  
- errors in data   -  
- processing errors   -  
- comparability   Some of the characteristics are not comparable - for example: cereals - can be harvested for grain, but also for green fodder. Second visit to the holding or phone call to clarify the divergencies
- other (if any)   -  

 

4.5 Management of metadata
IACS nomenclatures for crops are stored in electronic format.
4.6 Reporting units and matching procedures
There are problems creating the links between the units: the units in administrative sources do not correspond directly to the definition of required statistical units, the lack of common identifiers, obstacles related to IT issues etc.

Agricultural Producers Support Act (State Gazette No.58 from 22 May 1998 and amendments)
…..
Additional provisions
§ 1. According to the provisions of this law:
1. "Agricultural producers" are physical and legal persons that produce unprocessed and/or processed crop and/or animal production. 

Most often, a link is on an ID number / BULSTAT number.

4.7 Difficulties using additional administrative sources not currently used
No difficulties to report.
3.2. Frequency of data collection
Frequency of data collection
2010-census, 2013 - sample survey, 2016 - sample survey.
3.3. Data collection
1. Data collection modes
The information was collected with a paper questionnaire in a face-to-face interview. At a later stage, an information system has been developed and the data has been introduced.

 

2. Data entry modes
Physical model of the network in Ministry of Agriculture, Food and Forestry and Regional Statistical Offices.

Information is collected on paper questionnaire through face-to-face interviews. The data is manually entered into the online network by operators.

This network secures the official information and meets the requirements of the Law on Statistics regarding statistical confidentiality and protection of individual data.

 

3. Measures taken to increase response rates
For the purpose of E-survey, a .NET Framework 4.5.2 based library was be developed to provide a model for reading and processing the surveys and of the collected responses. The .NET model includes in addition to all components of a survey additional variation rules that ensure control of the survey data obtained. Analyzed data from the system are provided in the Analysis and Processing Module.
The .NET library also provides the following options:
· Read an incoming json file describing an E- survey and generate the required .NET model
· Validation of input parameters of an json file describing an E- survey and detection of potential errors in its creation
· Recording of newly created E- surveys in MSSQL database
· Loading surveys from MSSQL database and converting from .NET model back to json file used by survey editor/viewer
· Possibility to change a survey if there are still no results recorded in the database at the time of the change.
· Creating and managing storage tables for an E- survey
· Read json response file on an E- survey and save data in pre-created data tables
· Retrieving data for an E- survey from the base and generating a json data file used by the survey viewer
· Export e- survey from .NET to Microsoft Excel format (* .xlsx)
All functionalities of the system go through multiple validation procedures that guarantee data reliability and data security

- reminder by phone, second visit on-the-spot, additional clarification of the data by phone.

- giving priority to more important, for example large 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

201 014
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

44 423
3 Number of ineligible holdings

12 518

3.1 Number of ineligible holdings with ceased activities

This item is a subset of 3.

10 887
4 Number of holdings with unknown eligibility status

4>4.1+4.2

178
4.1 Number of holdings with unknown eligibility status – re-weighted 0
4.2 Number of holdings with unknown eligibility status – imputed 15
5 Number of eligible holdings

5=5.1+5.2

31 727
5.1 Number of eligible non-responding holdings

5.1>=5.1.1+5.1.2

81

 
5.1.1 Number of eligible non-responding holdings – re-weighted
5.1.2 Number of eligible non-responding holdings – imputed 81
5.2 Number of eligible responding holdings 31 646
6 Number of the records in the dataset 

6=5.2+5.1.2+4.2

31 742

 * The figures in the table exclude the common land units.

 

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


Annexes:
3.3-5. BG STATISTICAL QUESTIONNAIRE FSS2016
3.3-5. BG STATISTICAL QUESTIONNAIRE FOREST AREA
3.3-5. BG STATISTICAL QUESTIONNAIRE COMMON LAND
3.4. Data validation
Data validation
The individual data is checked through series of logical and mathematical controls. The completeness of the records is checked for the obligatory fields of the questionnaire. The completeness of the units from the list to be surveyed is also checked.

Tools used for data validation:

- manual for interviewers;

- online computer system.

Validation is done at district (local collection centre) and central level (final collection centre) of the MAFF.

3.5. Data compilation
Methodology for determination of weights (extrapolation factors)
1. Design weights
Taking the inverse of the inclusion probabilities 
2. Adjustment of weights for non-response
No 
3. Adjustment of weights to external data sources
No 
4. Any other applied adjustment of weights
There are holdings whose strata defined during the sample drafting do not match their assets at the time of the survey 2016.  Farms with extreme values are deducted from the strata and are included in the aggregate with a coefficient of 1, and the rest of the holdings are recalculated. Due to the exhaustive inclusion of the units from the Organic Register - with coefficient 1, the coefficients of the other holdings are recalculated.
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 
Characteristics, surveyed for national purposes, in addition to the characteristics of Regulation (EC) No 1166/2008 

 

National characteristics Characteristics, included in accordance with Regulation (EC) No 1166/2008 Institution requesting the inclusion of these characteristics
Holding’s bookkeeping   Ministry of Agriculture, Food and Forestry
Breakdown by type of ownership (of the owner) of UAA – state, municipal, private   Ministry of Agriculture, Food and Forestry
Other cereals for the production of grain – area for triticale Arable land – Cereals for the production of grain (seed incl.) Ministry of Agriculture, Food and Forestry
  Code 2.01.01.99 Other cereals for the production of grain  
Area for lentils, beans, chick-peas; Arable land – Dried pulses and protein crops for the production of grain (seed and mixtures of cereals and pulses incl. ) Ministry of Agriculture, Food and Forestry
  Code 2.01.02  
Common wheat and spelt - area for Common wheat and area for Einkorn (wheat) and spelt Common wheat and spelt Ministry of Agriculture, Food and Forestry
  Code 2.01.01.01  
Other oil seed crops. Area for groundnuts and oil pumpkinseed Arable land – Oil seed crops Ministry of Agriculture, Food and Forestry
  Code 2.01.06.08  
Area with crop typical for the country – oil rose, coriander, lavender, valerian, Cultivated hips, Silibum, Fennel Arable land – Aromatic plants and herbs Ministry of Agriculture, Food and Forestry
  Code 2.01.06.12  
Area of lucerne Leguminous plants Ministry of Agriculture, Food and Forestry
  Code 2.01.09.02.02  
Area of strawberries Fresh vegetables, melons and strawberries of which Ministry of Agriculture, Food and Forestry
  Code 2.01.07  
Fallow land - of which ploughed Fallow land  Ministry of Agriculture, Food and Forestry
  Code 2.01.12  
Breakdown of fruit tree plantations traditionally cropped in temperate climates, apples, pears, peaches and nectarines, apricots, plums, cherries, walnuts, almonds, hazelnuts, aronia, and raspberries, blackberries, goji berry incl. Permanent crops –Fruit and berry plantations Ministry of Agriculture, Food and Forestry
  Code 2.04.01  
Individual data for types of vine and root-stock nurseries, fruit tree and berries nurseries, ornamental nurseries, commercial nurseries of forest trees. Permanent crops –Nurseries Ministry of Agriculture, Food and Forestry
  Code 2.04.05;  
Area of wine grapes for PDO wines and for PGI wines,  Quality wine Ministry of Agriculture, Food and Forestry
  Code 2.04.04.01  
The position "Other land (land occupied by buildings, farmyards, tracks, ponds, quarries, infertile land, rock, etc.)" is divided in two:   Other land (land occupied by buildings, farmyards, tracks, ponds, quarries, infertile land, rock, etc.) Ministry of Agriculture, Food and Forestry
1. Area occupied by farm buildings and farmyards;
2. Other non-agricultural area. Code 2.05.03
Vine trees (Trellis)   Ministry of Agriculture, Food and Forestry
Breakdown of Bovine animals - cattle and buffaloes. The categories comply with Regulation 1165/2008 Bovine animals – Code 3.02; Ministry of Agriculture and Food
Breakdown of the categories of pigs under Regulation No 1165/2008 Livestock – Pigs Ministry of Agriculture, Food and Forestry
Code 3.04;
Breakdown of the categories of sheep under Regulation No 1165/2008 Livestock – Sheep and Goats Ministry of Agriculture, Food and Forestry
Code 3.03;
Breakdown of equidae – horses by category, donkeys and mules and hinnies Livestock – Equidae Ministry of Agriculture, Food and Forestry
Code 3.01;
Breakdown of poultry Separate positions for laying hens - stock, breeding hens and pullets Livestock – Poultry Ministry of Agriculture, Food and Forestry
  Code 3.05;  
Grazing of animals on the farm   Ministry of Agriculture, Food and Forestry
Insurance of agricultural production and livestock   IAE
Mineral fertilizers and plant protection products application on open-field area of the holding’s UAA   Ministry of Agriculture, Food and Forestry
Mushroom area is divided into cultivated mushrooms, other cultivated mushrooms, organically grown mushrooms Mushrooms
Code 2.06.01
Ministry of Agriculture, Food and Forestry
Manure storage facilities   Ministry of Agriculture, Food and Forestry
Total production of manure in the holding (tonnes) and incorporated manure in the holding (tonnes)   Ministry of Agriculture, Food and Forestry

 

For all observed crops, information has been gathered on irrigated areas over the last 12 months and area for organic farming

The additional national characteristics were included in the questionnaire after consultations with users of agricultural statistical information in the MAF, NSI and IAE.

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 following 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
The main source of error is the coverage error due to the impossibility to updating of the entire list of agricultural holdings and to the dynamic of changes in the Bulgarian farm structure. 
6.2. Sampling error
Method used for estimation of relative standard errors (RSEs)
 
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
The sampling design meets the precision requirements of the Regulation 1166/2008. The a posteriori calculation of the RSEs gives the following deviations:

- for the number of sheep in NUTS2: BG31, BG41. In some holdings from the sample a significant increase of the number of sheep is observed compared to 2010.

These holdings become atypical for the stratum in which they were allocated in 2010.



Annexes:
6.2.1-1. BG Relative standard errors
6.3. Non-sampling error

See below

6.3.1. Coverage error
1. Under-coverage errors
Due to the large dynamics the 2010 population is no longer up to date, new units from other statistical surveys, the bio register and other administrative sources have been added, some of them being sampled due to their large number. 

  

2. Over-coverage errors
There are units of the total of 2010 with ceased activity. Some of the units have changed their owner, others have ceased their farming activities. Terminated holdings and those below the national thresholds are not included in the units sent to Eurostat. For the aggregate, the coefficients of the other eligible holdings have not been changed following the ineligibility of these units.

No weight correction due to over-coverage.

2.1 Multiple listings 
Big farms operating in more than one NUTS3 are separated and introduced as separate units. The observed holdings are in several lists - Census 2010 - main sample, Organic register - exhaustive, New holdings of statistical surveys created after 2010 - comprehensive and sample lists of farms from other administrative registers. There is a case of duplication of records, but they are eliminated during data collection on-the-spot or during data entry in the computer system and other checks.

 

3. Misclassification errors
There are holdings whose strata defined during the sample drafting do not match their assets at the time of the survey. Only in the most extreme case the coefficients of extrapolation was changed. These units are subtracted from the initially designated strata and are included in the survey with extrapolation coefficient 1. There are units that changed their geographic position but their weights are preserved.

 

4. Contact errors
The updated address and contact details of the agricultural holdings were requested from the IACS. 

 

5. Other relevant information, if any
Not available.
6.3.1.1. Over-coverage - rate
Over-coverage - rate
From 44 423 units observed, 12 518 units are ineligible, they have ceased activity or reduced their assets below the threshold or were duplicated on the lists. 163 units were not found, and no data is available for them, because they probably ceased activity. A total of 29% of the observed units were not found, and we have no data on them or they are ineligible.
6.3.1.2. Common units - proportion

[Not requested]

6.3.2. Measurement error
Characteristics that caused high measurement errors
The causes are commonly categorised as:

- Survey instrument: the form, questionnaire or measuring device used for data collection may lead to the recording of wrong values;

Data collection with a paper questionnaire implies technical mistakes. In order to limit these errors multiple controls are set in the computer system during data entry.

During data entry in the software there is no control of the individual data with previous surveys. Some logically related fields get controlled. Example: The sum of the crop area can not be greater than UAA, irrigated area and organic farming area can not be larger than main area, etc.

- Respondent: respondents may, consciously or unconsciously, give erroneous data;

The individual data is compared and clarified if necessary with a second interview. Such interviews are carried out by phone in case significant differences are recorded between the interview data, the administrative crosschecks and data from previous surveys.
Controls of sums and some logically related fields.

- Interviewer: interviewers may influence the answers given by respondents.

Low possibility of such an error. The misunderstanding of some more complicated characteristics such as "F_2_1-Importance of other gainful activities directly related to the holding" can lead to systematic error of interviewers.

Рroblems caused by difficult questions, unclear definitions, sensitive questions etc. which are likely to determine measurement errors.

Characteristics that are complicated for respondents are: tillage methods on outdoor arable land, soil cover on outdoor arable land, crop rotation on arable land, manure application, manure import/export from the holding, household consumes more than 50% of the value of the final production of the holding , labour force.

6.3.3. Non response error
1. Unit non-response: reasons, analysis and treatment
In case of unit non-response the holder is contacted again in order to obtain response. In case the second attempt for interview is not successful the available administrative data is imputed from SAPS and the system for identification and registration of livestock. In other cases the data from the previous survey is used (when it is proven that the unit still has agricultural activity) for imputation or the non-responding unit is replaced (if its weight is higher than 1).

The main reasons for non-response are refusal, not found holdings, too many or unclear questions which lead to unwillingness of the respondent to answer.

Some of the owners/farmers refuse to answer on the questions. The reasons are that they believe that data once given to the administration, for whatever reason, should not be re-collected, and this is an additional burden. These are usually large agricultural holdings, the owners of which are very engaged with a huge workload and cannot spend the time necessary to prepare the data, as their schedule does not allow for an interview. Others are distrustful and refuse to give information, worrying about the purposes for which it will be used. Failures occur in large and small holdings. There are cases where agricultural holders cannot be found because of wrong and outdated addresses (for example, in large populated areas). When the agricultural holding operates and has administrative data and data from other statistical surveys, this data is used and imputed.

 

2. Item non-response: characteristics, reasons and treatment
In case of refusal, there is no answer for all the features.
6.3.3.1. Unit non-response - rate
Unit non-response - rate
Of the farms finally considered eligible (31 742), 15 were not found for an interview, so data for their business activity was elicited from administrative sources. 81 farmers refused to give an interview. These holdings (96 units) are 0.3% of the eligible records sent to Eurostat.
6.3.3.2. Item non-response - rate
Item non-response - rate
In case of refusal, there is no answer for all the features.
6.3.4. Processing error
1. Imputation methods
Imputation method is used in case the respondent refuses to cooperate or can't be found for interview but it is proven that the unit still has agricultural activity. Imputed data is from administrative source (SAPS, system for identification and registration of livestock).

Imputation from administrative data or previous surveys was used for unit non-response.

 

2. Other sources of processing errors
Single errors detected due to the applicable unit of measure. Due to the use of a new computer online system, the algorithm checks continue. 

 

3. Tools used and people/organisations authorised to make corrections
If necessary, detected errors have been corrected by the experts on agrostatics in Regional Offices and the experts at the Ministry of Agriculture, Food and Forestry.
6.3.4.1. Imputation - rate
Imputation - rate
Data imputed for 96 holdings which are 0.3% of the total number of eligible holdings sent to Eurostat.
6.3.5. Model assumption error

[Not requested]

6.4. Seasonal adjustment

[Not requested]

6.5. Data revision - policy
Data revision - policy
Bulgaria uses a Code of Practice for the Official Statistics developed for all Official Statistics, which covers the first release of many of the components of FSS (see link below). As far as the FSS dataset is concerned, it is subject to validation by Eurostat and revisions may be made to the dataset until it is approved by Eurostat. Once the dataset has passed Eurostat validation, we do not intend to make any further revisions unless a significant error is found.

http://www.nsi.bg/sites/default/files/files/pages/Quality_e/1.4.%20GUIDELINES%20NSS_FINAL_EN.pdf

6.6. Data revision - practice
Data revision - practice
Due to the introduction of a new information system, the data was sent to Eurostat and subsequently some mistakes were identified and corrected and the data was re-sent. Due to the delay in the results, preliminary data have not been published in the national information portals.

Data revision for FSS data was not performed. 

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
The main data is scheduled to be published on 02.07.2018, 18 months after 31.12.2016.
7.1.2. Time lag - final result
Time lag - final result
The final results are scheduled to be published on 30.09.2018 - 21 months after 31.12.2016.
7.2. Punctuality

See below

7.2.1. Punctuality - delivery and publication
Punctuality - delivery and publication
A publication with detailed data will be published and printed after validation of the Eurostat data, scheduled no later than 30.09.2018.


8. Coherence and comparability Top
8.1. Comparability - geographical
1. National vs. EU definition of the agricultural holding
There aren't differences for the definition of the agricultural holding between the EU Regulation 1166/2008 (definition in art.2.a) and  the national survey. 

 

2.National survey coverage vs. coverage of the records sent to Eurostat
The data to be published will only include the records sent to Eurostat.

 

3. National vs. EU characteristics
Handbook - FSS WG/2015/1/11 revision 1;

No significant differences between national and EU definitions of characteristics and classifications of characteristics.

The number of hours per year for a full-time employee is 1 856.

 

4. Common land
4.1 Current methodology for collecting information on the common land
The common land is collected from administrative sources and included in records at municipality level.

The position of common land includes pastures and meadows. Permanent crops and crops from arable land are excluded.

A separate questionnaire for common land was used in FSS questionnaire.

The type of tenure for common land units is A_3_1_4 (Common land).

Common land identification in the data can be made through field A_2 = 6 (Legal personality of the holding = Holding is common land).

4.2 Possible problems encountered in relation to the collection of information on common land and possible solutions for future FSS surveys
Common land is expected to decrease in the future. Legislation has been adopted to provide municipal common grasslands to individual livestock holdings.
4.3 Total area of common land in the reference year
696 326 ha
4.4 Number of agricultural holdings making use of the common land or Number of (especially created) common land holdings in the reference year
264 statistical units provide common land for use. 

 

5. Differences across regions within the country
Not applicable

 

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
None 
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.  

 

3. Changes of definitions and/or reference time and/or measurements of characteristics
- for the livestock from 1 November (2013) to 1 September (2016) and
- for the labour force from 1 October (2012) - 30 September (2013) to 1 September (2015) – 31 August (2016).

 

4. Changes over time in the results as compared to previous FSS, which may be attributed to sampling variability
In sample survey there is a possibility for some characteristics not to achieve good accuracy of data at regional level: example - Area of flowers and ornamental plants.

 

5. Common land
5.1 Possible changes in the decision or in the methodology to collect common land
No changes 
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
There is no change in the number of units providing common land for use since 2010. They are 264. The total area of common land decreased by 159 700 ha to 696 326 ha.

 

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 201 278 254 406  - 21 %  The agricultural holdings in 2016 decreased by 20.9% compared to 2013. This is mainly due to a decrease in small holdings - with UAA under 10 ha. Farmers rearing under 50 cattle, under 100 sheep, under 100 goats, under 1000 pigs, under 5,000 birds are being reduced.
Utilised agricultural area (ha) 4 491 860  4 650 936  - 3 %   
Arable land (ha) 3 243 963  3 279 387  - 1 %   
Cereals (ha) 1 822 546  2 015 568  - 10 %   
Industrial plants (ha) 1 087 546  1 078 872  1%   
Plants harvested green (ha) 128 932  96 925  33 %  In relation to the requirements for green direct payments (ecological focus area) - nitrogen fixation areas.
Fallow land (ha) 123 542  45 600  171 %  In relation to the requirements for green direct payments  (ecological focus area).
Permanent grassland (ha) 1 143 680  1 271 324  - 10 %   
Permanent crops (ha) 100 142  94 991  5 %   
Livestock units (LSU) 1 064 192  1 024 911  4 %   
Cattle (heads) 597 939  586 242  2 %   
Sheep (heads) 1 317 323  1 353 086  - 3 %   
Goats (heads) 267 652  285 619  - 6 %   
Pigs (heads) 668 013  573 633  16 %  Difference in the reference periods 2013 and 2016
Poultry (heads) 16 612 890  14 288 498  16 %  Difference in the reference periods 2013 and 2016
Family labour force (persons) 375 250  499 686  -25%  The decrease in the number of agricultural holdings led to the decrease of the family labour force usually working on small holdings. 
Family labour force (AWU) 183 362  245 092  -25%  The reduction of agricultural holdings farms led to a reduction in the number of and AWU of family labor.
Non family labour force regularly employed (persons) 64 485  57 987  11%  The number of holdings - legal entities is increasing.
Non family labour force regularly employed (AWU) 58 983  53 291  11%  The number of holdings - legal entities is increasing.
8.2.1. Length of comparable time series

[Not requested]

8.3. Coherence - cross domain
1. Coherence at micro level with other data collections
A control was performed by comparing the individual data with administrative data from the SAPS and other statistical surveys. 

 

2. Coherence at macro level with other data collections
Crop FSS 2016 SAPS 2016 Difference  Notes
%
1 2 3 4 5
Wheat (ha) 1 195 061 1 191 117 0.33%  
Barley (ha) 161 583 159 210 1.49%  
Grain and seed maize (ha) 404 327 405 194 - 0.21%  
Sunflower (ha) 820 032 822 603 - 0.31%  
Rape (ha) 167 124 169 825 - 1.59%  
Vineyards (ha) 38 768 25 720 50.73% Not all vineyards are declared for SAPS

 Comparison of the results – Livestock

Livestock by categories FSS2016 Annual surveys  Difference 
2016 2016 %
1 2 3 4
Poultry (thou. heads) 16 613 13 700 21.26%

Difference in reference periods

Comparison of results - UAA, arable land

Characteristics FSS-2016 SAPS 2016 - Areas declared for support under SAPS 2016 Difference %
  (ha) (ha) (%)
1 2 3 4
UAA minus common land 3 795 534 3 764 126 0.83%
Arable land 3 243 963 3 236 999 0.22%

The observed differences in arable land are minimal and acceptable. 

The statistics related to crops are comparable to high extent with the administrative data. Many other characteristics surveyed with the FSS are not available in any administrative source.

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
The publication of the data on the information portal of the Ministry of Agriculture, Food and Forestry. The publication of a paper copy is forthcoming.

 

2. Date of issuing (actual or planned)
Main data - until 02.07.2018, detailed data - till 30.09.2018

 

3. References for on-line publications
http://www.mzh.government.bg/MZH/bg/ShortLinks/SelskaPolitika/Agrostatistics/Structure_agricultural_holdings.aspx 
9.3. Dissemination format - online database
Dissemination format - online database
There is no online database. 
9.3.1. Data tables - consultations
Data tables - consultations
Not available
9.4. Dissemination format - microdata access
Dissemination format - microdata access
There are rules for releasing confidential data for the purpose of research and the provision of confidential data is performed according to these rules.

According to Art.26a of the Statistics Act individual and anonymous data may be provided for the purpose of research to universities or legal persons whose main activity is research after permission by the President of the National Statistical Institute.

RULES FOR PROVISION OF ANONYMOUS INDIVIDUAL DATA FOR SCIENTIFIC AND RESEARCH OBJECTIVES OF THE NATIONAL STATISTICAL INSTITUTE

Art. 2. The following users may apply for access to anonymized individual data:

1. universities and other higher education institutions;

2. research organizations and institutions;

3. other agencies, organizations or institutions in which there are separate structural units carrying out research activities;

4. other legal entities using data for research and analytical purposes;

5. natural persons who, for the purposes of scientific and research work, need anonymized data.

Art. 3. The User and eServices Department at the Multisectoral statistics and user services Department maintain and update a list of users that includes the user name, type of data provided, and date of submission.

Art. 4. The data shall be provided on a technical medium in csv, sav, xls or any other format specified in the application.

.......

Section IV

PROVISION OF ANONYMOUS INDIVIDUAL DATA

Art. 17. When anonymizing the data, the following requirements are met:

1. anonymised individual data cannot be provided if they disobey the provisions of Art. 25;

2. the individual records in the database of the requested survey are processed by competent officers by deleting all identifying individual signs from the data (name, address, publicly accessible identification number, etc.), which directly or indirectly identify a particular statistical unit;

3. in the case of records where these rules are not abided by for certain characteristics, the directorates in whose portfolio the data is prepared shall assess whether they should entirely erase the data, delete the data only in the cells of those characteristics, or take other appropriate solutions to protect individual data.

Art. 18. The following procedures shall be followed when providing data from studies for consecutive periods (years, quarters, etc.):

1. where, in the case of comparative analyzes, it is necessary to provide anonymized data from several consecutive observations, the individual data shall be coded with the same numbers for each unit in the database for the individual periods;

2.under item 1, the information database can be processed with special software products, which prevent the eventual disclosure of the data for the statistical units by means of methods for comparison of the used identification numbers.

Art. 19. In order to assess the risk of revelation of data sets prepared by the user by matching anonymized individual data in combination with external data, they are subject to re-control by the experts in the concerned domain.

 

Microdata from FSS 2016 has not been disseminated.  



Annexes:
9.4. Statistics Act_BG
9.5. Dissemination format - other

[Not requested]

9.6. Documentation on methodology
1. Available documentation on methodology
http://www.mzh.government.bg/bg/statistika-i-analizi/izsledvane-strukturata-zemedelskite-stopanstva/metodologiya-metadanni/

 

2. Main scientific references
Not available
9.7. Quality management - documentation
Quality management - documentation
No available documentation on quality. 
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
The burden of the respondents is due to the large number of characteristics and the specific and difficult matter. The average time required by a respondent for data collection in the questionnaire for Eurostat sent records is 43 minutes.

In the future, with the introduction of the new system, there might be coordination between surveys to avoid the situation that some farms have to answer multiple questionnaires with the same kind of questions.


11. Confidentiality Top
11.1. Confidentiality - policy
Confidentiality - policy
Individual data are confidential and are not disseminated as such (affidavits, Law on statistics). 
11.2. Confidentiality - data treatment
Confidentiality - data treatment
Published only aggregated data, not published when there are less than 3 holdings contributing to the value of the indicator or the data of one of the units accounts for over 85% of the published index. 


12. Comment Top
1. Possible improvements in the future
Using the built-in information system for on-line filling of e-questionnaires.

Development of built-in statistical farm register. 

 

2. Other annexes
Not available.


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