1. Source of data |
Different sources were used during the data collection. Further, some of the FSS characteristics were collected as a census while others were collected as a sample survey. All agricultural holdings received a questionnaire. Questions regarding the main characteristics (on the holding, total areas, livestock excluding cattle, some important characteristics to locate the holding in registers and information on when the total holding is sold, rented or in some ways been closed) have been included in all questionnaires. A sample survey has been sent to approximately one third of the population where also questions about irrigation, other gainful activities, labour force, tillage methods, and manure application techniques have been included. For some characteristics, administrative registers were used to obtain data. Five administrative data sources were used during FSS 2016: IACS, the Bovine Register, the Organic Farming Register and the Register of Support for Rural Development. During the imputation process, the slaughter register, the Swedish education register, and the taxation register were also used. |
2. (Sampling) frame |
The statistical farm register, which has been in use since 1968 as a frame for different agricultural surveys, was the frame for the FSS 2016. The FSS 2016 frame population consisted of holdings from the FSS 2013 updated with information from holdings in the livestock survey for the years 2014 and 2015, and holdings applying for subsidies 2014, 2015 and 2016 (IACS). The frame was also updated with information from the poultry-, sheep- and pig registers. The last update of the frame was conducted in April 2016. We combine IACS with the cattle register, and the last known value for other animal and horticulture production. |
3. Sampling design |
3.1 The sampling design |
We used one-stage stratified random sampling of holdings. It is a probability design. We used simple random sampling in each stratum. |
3.2 The stratification variables |
The frame was divided into 129 different strata. The variables for stratification were divided into:
- counties (NUTS 3),
- area of agricultural land,
- number of animals of different kinds,
- specialised holdings with turkeys, hens, chickens, gilts,
- new holdings according to pig-, poultry-, sheep register and the horticultural division of the federation of Swedish farmers (GRO) plus holdings from the “Register survey”,
- holdings that do not longer exist in IACS or other registers.
The principles for building up strata were almost the same as for earlier farm structure surveys. However this time we also made a poststratification due to the fact that 634 new holdings were discovered in IACS after the frame was finalised. The total number of strata in the end in the file was 232 due to this issue. |
3.3 The full coverage strata |
Sampling ratios of 100% were used:
- in the strata with holdings of large size in some respect. Total survey of these strata was important for acquiring high statistical precision and thus producing statistics with high quality.
- in all the strata containing new holdings from different animal registers. This was done because of the lack of information for these holdings which made it difficult to use correct pre-stratification.
- for holdings with more than 100 ha cereals + green fodder, more than 800 pigs, more than 100 sheep;
- for holdings with a lot of labour force, holdings with a lot of irrigation, holdings with large areas of fruit trees, holdings with a lot of turkeys, holdings with a lot of hens, holdings with a lot of chickens, holdings with a lot of boars and new holdings without animals and pasture of more than 10 ha.
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3.4 The method for the determination of the overall sample size |
The overall sample size was determined through simulation of standard deviations with different sample sizes in strata. Sample sizes in strata were decided from optimum allocations for different variables. The maximum sample size in each stratum for the different allocations was chosen as the size of the stratum. The final sample size was decided when both internal demands as well as precision requirements from EU-regulation was accomplished. |
3.5 The method for the allocation of the overall sample size |
For each of the non-exhaustive strata, the number of holdings to be selected from each stratum was determined by Neyman allocation. This allocation was based on: area of pasture land, area of grain land, number of bovines, number of pigs, number of sheep and number of animal units. The final sample size for each stratum was usually chosen as the highest of the sample sizes according to the different Neyman allocations. |
3.6 Sampling across time |
A new sample is drawn in each survey. |
3.7 The software tool used in the sample selection |
SAS |
3.8 Other relevant information, if any |
None. |
4. Use of administrative data sources |
4.1 Name, time reference and updating |
The IACS register was developed based on the Council Regulation (EC) No 1782/2003, and contains information from the applications for the single farm payments. When applying for single farm payments the farms have to declare the use of all agricultural areas on the holding; e.g. crops grown, the area for each crop, or the fallow area. The definitions of crop areas in IACS are in line with the definitions in the farm structure surveys. Further, the relevant areas in IACS can be translated to corresponding areas in the farm register. The reference data for the FSS 2016 was June 2, which corresponds with the reference time (crop year) in the IACS for single farm payment. The Bovine Register, in Sweden called the Central Cattle Register (CDB), was set up in accordance with Council Regulation (EC) No 1760/2000 of 17 July 2000. The register’s main objective is to make it possible to trace contagious animal diseases. The Commission approved the CDB in Sweden for use in pursuing this main objective from 1 November 1999. The register has also been approved to be used for other objectives and since 2000 it has been used, and served as the basis, for various EU cattle premiums (special beef premium, slaughter premium, suckler cow premium, extensification aid, etc.). The CDB is made up of the following two main parts: - One part contains information on the identity of individual animals, both living and dead, such as sex, date of birth, breed and age. - Another part contains information on events relating to individual animals, such as birth, slaughter, purchase and sale as well as transfer between different holdings, etc. Farmers with bovine animals must report each event for each individual animal, such as birth, transfer, sale for slaughter, etc., to CDB within seven days. A calf should be tagged within 20 days of birth and then reported within seven days to CDB. Late reporting will incur additional charges for the farmer. The reference date for the transmission of the information from CDB to the farm register was June 2, which is the same date as the reference date for the FSS 2016.
The Organic Farming Register is based on the Council Regulation (EEC) No 2092/91. In 2016 there were three control bodies on the market working with controls of agricultural holdings on which organic farming methods are applied. The control bodies are authorised by the Swedish Board for Accreditation and Conformity Assessment. The data concerning the characteristics on organic farming in FSS 2016 are based on existing information on individual holdings in registers at the control bodies.
The register of Support for Rural Development is based on the Swedish Board of Agriculture and contains information about all holdings seeking support for different kinds of rural development.
There is also a number of registers used to build the sampling frame and to give information for having the best possible sampling design. These registers are livestock registers for pigs, sheep and poultry combined with registers on slaughtering of animals. During the imputation process, the slaughter register, the Swedish education register, and the taxation register were also used. |
4.2 Organisational setting on the use of administrative sources |
The Official Statistics Ordinance (2001:100) states that data from registers (i.e. administrative data or registers produced within the statistical system) should be used when possible. This means that the organizations responsible for administrative registers are obliged to provide this information. The Swedish Board of Agriculture security classifies all documents, databases etc. according to their content of information. For all information, whether it is in a database or in an Excel sheet, there is a person that is designated as the owner of the information. Risk analyses are made each year. The statistical unit is not included in the conceptual design of the administrative sources. However, due to the total response burden put on farmers we have the possibilities to make our opinion on possible deletion of data from administrative sources. |
4.3 The purpose of the use of administrative sources - link to the file |
To lower respondent burden. Please find the information at the following link: (link available as soon as possible) |
4.4 Quality assessment of the administrative sources |
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Method |
Shortcoming detected |
Measure taken |
- coherence of the reporting unit (holding) |
IACS, CDB: Both of registers use personal numbers (social security numbers), production place number or application ID as the key variables. |
IACS, CDB: There is not an exact correspondence between the responsible person/enterprise (the reporting unit) in these registers and the definition of holding in the farm structure surveys. In the farm register, one or more personal numbers, production place numbers or application IDs can be at one holding. |
See item 3.1-4.6 for information. |
- coherence of definitions of characteristics |
IACS:The definitions of crop areas and other areas in IACS are in line with the definitions in the farm structure surveys and the relevant areas in IACS can be translated to corresponding areas in the farm register. The reference date in FSS 2016 is June 2, which corresponds to the reference time (crop year) in the system for single farm payments. |
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CDB: The reported information about bovine animals in CDB, such as date of birth and sex, can together with information in a milk database on milk deliveries to dairies be translated to the definitions of the different kinds of bovines in FSS 2016. The reference date for the transmission of information from CDB to the farm register is June 2, the same reference date as for FSS 2016. |
CDB: However, as all cows on holdings delivering milk to dairies are considered to be milk cows, there will be a small overestimation of the number of milk cows and a corresponding underestimation of the number of other cows. The same method is used in the statistical surveys on cattle according to the Council Directive 93/24/EEC. |
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- coverage: |
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over-coverage |
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IACS and CDB: There are holdings in the registers that are under our thresholds. |
IACS and CDB: The over-coverage holdings are removed.
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under-coverage |
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IACS does not contain information from all statistical holdings in the target population: newly created holdings, which belong to the 2016 target population, which did not apply for subsidies in 2016 (and thus were not included in IACS) and also were not found in the poultry-, sheep or pig registers but were above the threshold values for inclusion in the target population, were not included in the survey. The number of such holdings is estimated to be very small, as it is considered to be very rare in Sweden to have newly established holdings which do not appear in any of the mentioned registers. |
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CDB: No under-coverage. We estimate that the number of unreported events in CDB is negligible. |
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misclassification |
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IACS: No misclassifications. |
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CDB: In CDB we have to use a model to distinguish milk cows from other cows however it is not a misclassification on the variable cows. |
IACS: No misclassifications. |
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multiple listings |
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There was a risk for duplicate or multiple listings in the frame. This is due to the fact that the frame consists of holdings appearing in IACS and other holdings that are not. In some cases, when creating the frame population, it was not possible to merge the two kinds of holdings. In some cases the same holding could receive two questionnaires. |
If the same holding received two questionnaires, the respondent was asked to respond on one of the questionnaires. However, because of non-response and partial non-response, there were still some duplicates left after the survey was conducted. |
- missing data |
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IACS and CDB: There are no missing data in either IACS nor CDB. |
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- errors in data |
IACS: There are controls on a part of the holdings about the information delivered by the farmers. The farmers may also lose some part of the single farm payment if the reported areas are incorrect. |
IACS: In the questionnaires the holders are asked to give information about the total area of arable land and total area of pasture and meadow. The total agricultural area from IACS, for individual holdings, is not always corresponding to the information given by the holders in the questionnaires. In the end, data from IACS is used for crop areas and areas of pasture and meadows. This procedure could cause errors on individual holdings. However the procedure used should not cause any systematic errors. We estimate that the errors in the register variables are negligible. |
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CDB: There are both administrative controls and field-controls on part of the holdings and the farmers may lose some part of the single farm payments if the reported information is incorrect. |
We estimate that the errors in the register variables are negligible. |
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- processing errors |
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We estimate that the processing errors are very small. |
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- comparability |
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The coherence to other data is very good. |
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- other (if any) |
IACS: We are able to extract data from the register in a few days after the deadline for applications. |
IACS: The register is very stable. |
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CDB: We are able to extract data whenever we want. The holders are to inform the register within 7 days of any changes pertaining to their cattle. |
CDB: The register is very stable. |
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4.5 Management of metadata |
IACS: Metadata for IACS is described in a separate database table. Here, the property is described for all values stored, type label, description, field length, type of field, if included in the xml, where it comes from device, where to save, etc. The information on metadata is saved since the beginning of IACS. CDB: Metadata for CDB is described in a separate database table. Here, the property is described for all values stored, type label, description, field length, type of field, if included in the xml, where it comes from device, where to save, etc. The information on metadata is saved since the beginning of CDB. Organic Register: Metadata for the organic register is described in a electronic way. Register of Support for Rural Development: Metadata for the register of support for Rural development is described in a separate database table. Here, the property is described for all values stored, type label, description, field length, type of field, if included in the xml, where it comes from device, where to save, etc. The metadata information is saved since the beginning of register. |
4.6 Reporting units and matching procedures |
IACS: The reporting units are single persons and legal holdings which send applications to the Swedish Board of Agriculture. There is no exact correspondence between the responsible person/holding (the reporting unit) applying for single farm payment and the definition of the holding in the Farm Structure Surveys. One holding can/could consist of several persons applying for the single farm payment. The main linkage between the holdings in the statistical farm register and the reporting units in IACS is the personal number for natural persons and organisational number for legal holdings. These numbers are unique for each entity. In the farm register, there is for every holding registered one personal number for each farmer on the holding. For units mismatching according to this method, the client number for the single payment application at the Swedish Board of Agriculture followed by production location number is used. All remaining reporting units in IACS are considered to form new holdings in the farm register.
CDB: There is not an exact correspondence between the responsible person/enterprise (the reporting unit) for bovine animals and the definition of holding in the farm structure surveys. This is because the holders in the statistical farm register are not necessarily the persons responsible for the reporting to CDB. In some cases, the holding has more than one production location in the farm register with different persons responsible for reporting to CDB. The main linkage between the holdings in the statistical farm register and the reporting units in CDB is the personal number for natural persons and organisational number for legal enterprises. These numbers are unique for each entity. In the farm register there is for every holding registered one personal number for each farmer on the holding. For units that mismatch according to this method, the linkage characteristics production location is used. There can be some minor problems with linking some of the cattle to the right holding. This is because we may not have details of all of the persons in each holding. In that case, we may have to start a new holding.
Organic Register: The registers at the control bodies cover all holdings applying organic farming methods or are in the conversion period. The control bodies transmit the following information to the Board of Agriculture every year:
- the personal/organisational number of the holder or holding,
- the client number of the holding at the control body,
- what kind of crops are grown and the corresponding areas in combination with if the areas were under conversion or converted,
- organic production methods applied in the animal production.
Information on addresses and telephone numbers of the holder/holding are also transmitted by the control bodies. In the FSS questionnaires, holders were asked to fill in their client number at the control body. By using the personal/organisational number of the holding combined with the information on client number at the control body and in the FSS questionnaires, a link between the Organic Farming Register and the statistical farm register could be established. In cases of mismatch, addresses and telephone numbers were also used to link holdings in the different registers. In the end, there were only a few mismatches left.
Register of Support for Rural Development: The definition of the reporting unit is the same as for the holdings applying for the single farm payment. Hence, the identification of the units is also the same, i.e. the personal number for natural persons and organisational number for legal holdings. Should there be a mismatch, the client number at the Swedish Board of Agriculture is used.
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4.7 Difficulties using additional administrative sources not currently used |
There are some registers that are currently evaluated for the possibilities to use them. Especially the sheep register is discussed. The problem at the moment is that reference day is in December and that the number of animals is not divided into different categories. |
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1. Data collection modes |
Five different data collecting channels were used during the agricultural census – FSS 2016: paper questionnaires, web questionnaires, administrative registers, modelling and telephone interviews. |
2. Data entry modes |
The process of data entry for the incoming paper questionnaires could be divided into 5 stages: 1. sorting of incoming paper questionnaires (SF1, SF2, SJ1, SJ2, L), 2. registration of the questionnaires, 3. optical scanning (hereafter Scanning), 4. verifying, 5. transfer of data from the IT-system to the database. When the questionnaires arrived at the Swedish Board of Agriculture, they were sorted by the FSS team in three different groups - one per kind of questionnaire (1). Then by scanning the barcode, each questionnaire was registered on the IT-system (2). |
3. Measures taken to increase response rates |
In order to minimise the non-response, the following measures were taken: Written reminders by post and by email During the data collection procedure, three reminders were sent out to the holdings which did not provide information within the deadline for the survey (June 23, 2016). An e-mail reminder was sent to holdings we had an email-address to, on June 21, 2016. The first written reminder was sent out on June 29, the second one on July 25, while the third one was sent out in August 20, 2016. Telephone interviews/Follow-up interviews Telephone interviews were used to complete partly answered questionnaires in order to reduce the non-response. The highest partial non-response rate was on the section of labour force and rural development of the FSS questionnaires. Telephone interviews and follow-up interviews were planned in such a way as to give priority to important large holdings. About 5 % of the holdings were telephone interviewed by the FSS staff. Telephone interviews were conducted between August 10- October 15, 2016. |
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 |
71 524 |
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 |
- |
3 |
Number of ineligible holdings |
8 587 |
3.1 |
Number of ineligible holdings with ceased activities This item is a subset of 3. |
7 931 |
4 |
Number of holdings with unknown eligibility status 4>4.1+4.2 |
0 |
4.1 |
Number of holdings with unknown eligibility status – re-weighted |
0 |
4.2 |
Number of holdings with unknown eligibility status – imputed |
0 |
5 |
Number of eligible holdings 5=5.1+5.2 |
62 937 |
5.1 |
Number of eligible non-responding holdings 5.1>=5.1.1+5.1.2 |
3 412 |
5.1.1 |
Number of eligible non-responding holdings – re-weighted |
0 |
5.1.2 |
Number of eligible non-responding holdings – imputed |
3 412 |
5.2 |
Number of eligible responding holdings |
59 525 |
6 |
Number of the records in the dataset 6=5.2+5.1.2+4.2 |
62 937 |
5. Questionnaire(s) - in annex |
There are five different questionnaires depending on the holder. In all questionnaires, we collected data to be able to link the holding to administrative data. Questionnaire 1 - This was the smallest questionnaire where only data on areas and animals was collected. This questionnaire was received by all holdings that were not included in the FSS-sample. Questionnaire 2 - In this questionnaire, all variables that were to be collected in the FSS were included, except data that was collected from administrative sources. The population that received this questionnaire were natural persons that were not included in a sample survey on manure and tillage methods conducted by Statistics Sweden in the same period. Questionnaire 3 - The same questionnaire as questionnaire 2 except the question on manure and tillage methods that was deleted from this questionnaire because these holdings were included in the sample survey on the same topics conducted by Statistics Sweden. The holdings that received this questionnaire were natural persons. Questionnaire 4 - In this questionnaire, all variables that were to be collected in the FSS were included, except data that was collected from administrative sources. The population that received this questionnaire were legal persons that were not included in a sample survey on manure and tillage methods conducted by Statistics Sweden in the same period. Questionnaire 5 - The same questionnaire as questionnaire 2 except the question on manure and tillage methods that were deleted from this questionnaire because these holdings were included in the sample survey on the same topics conducted by Statistics Sweden. The holdings that received this questionnaire were legal persons. The differences between questionnaires 2 and 4 and between questionnaires 3 and 5 are the questions on labour force where the questions were put in different ways. In questionnaires 3 and 5, questions on manure and tillage methods were not included. |
Annexes: 3.3-5. Questionnaire 1 3.3-5. Questionnaire 2 3.3-5. Questionnaire 3 3.3-5. Questionnaire 4 3.3-5. Questionnaire 5 |