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Source 1 |
Source 2 |
Source 3 |
Source 4 |
| Have new data sources been introduced since the previous quality report? |
NO |
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| If yes, which new data sources have been introduced since the previous quality report? |
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| Type of source? |
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| To which Table (Reg 543/2009) do they contribute? |
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| Have some data sources been dropped since the previous quality report? |
NO |
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| Which data sources have been dropped since the previous quality report? |
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| Type of source? |
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| Why have they been dropped? |
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| Additional comments |
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Data sources: Please indicate the data sources which were used for the reference year on which is reported
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Type |
Name(s) of the sources |
If other type, which kind of data source? |
| Table 1: Crops from arable land |
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| Early estimates for areas |
Census
Survey
Administrative data |
The Swedish Farm Register The survey on areas of cereals and oilseed crops sown in the autumn IACS |
|
| Final area under cultivation |
Census
Survey
Administrative data |
The Swedish Farm Register The crop statistics survey on cereals, dried pulses and oil seed crops, which divide the total crop areas into "for threshing" and "for harvesting of green fodder". IACS
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|
| Production |
Census
Survey
Administrative data
Other |
The Swedish Farm Register The crop statistics survey on cereals, dried pulses and oil seed crops, The crop statistics survey on table potatoes, The crop statistics survey on potatoes for production of starch, The crop statistics survey on temporary grasses. IACS |
Crop production forecast for cereals and oilseed crops, a regression model Standard yields, a regression model Nordic Sugar, sugar beet purchaser Kalmar Öland Garden Products (Kalmar Ölands Trädgårdsprodukter), purchaser of kidney beans A rough model for production of temporary grazings |
| Yield |
Survey
Other |
The crop statistics survey on cereals, dried pulses and oil seed crops, The crop statistics survey on table potatoes, The crop statistics survey on potatoes for production of starch, The crop statistics survey on temporary grasses. |
Crop production forecast for cereals and oilseed crops, a regression model Standard yields, a regression model Nordic Sugar, sugar beet purchaser Kalmar Ölands Trädgårdsprodukter, purchaser of kidney beans A rough model for temporary grazings |
| Non-existing and non-significant crops |
Administrative data |
IACS |
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| Table 2: Vegetables, melons and strawberries |
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| Early estimates for harvested areas |
Expert estimate |
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| Final harvested area |
Census
Survey |
Horticultural Production 2022 The 2020 Horticultural Census IACS |
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| Production |
Census
Survey |
Horticultural Production 2022 The 2020 Horticultural Census |
|
| Non-existing and non-significant crops |
Census |
The 2020 Horticultural Census |
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| Table 3: Permanent crops |
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| Early estimates for production area |
Expert estimate |
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| Final production area |
Census
Survey |
Horticultural Production 2022 The 2020 Horticultural Census IACS |
|
| Production |
Census
Survey |
Horticultural Production 2022 The 2020 Horticultural Census |
|
| Non-existing and non-significant crops |
Census |
The 2020 Horticultural Census |
|
| Table 4: Agricultural land use |
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| Main area |
Census
Survey
Administrative data |
The Swedish Farm Register The crop statistics survey on cereals, dried pulses and oil seed crops, Horticultural production 2022 IACS |
|
| Non-existing and non-significant crops |
Census
Administrative data |
The 2020 Horticultural Census IACS |
|
| Total number of different data sources |
14 |
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|
| Additional comments |
| Data source for the humidity |
Put x, if used |
| Surveyed: farmers report the humidity |
x |
| Surveyed: farmers can convert the production/yield into standard humidity |
x |
| Surveyed: whole sale purchasers report the humidity |
x |
| Surveyed: whole sale purchasers convert the production/yield into standard humidity |
|
| Surveyed by experts (e.g. test areas harvested and measured) |
|
| Estimated by experts |
|
| Other type |
|
| If other type, please explain |
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| Additional information |
|
Every third year, a horticultural census is performed in order to cover all crops and all horticultural holdings. The census - in this case "The 2014 Horticultural Census" - is the basis for determining non-significant crops in the years in-between the censuses. |
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| Which method is used for calculating the yield for main arable crops? |
Production divided by sown area |
| If another method, describe it. |
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| Definitions |
Question |
In case yes, how do they differ? |
| Do national definitions differ from the definitions in Article 2 of Regulation (EC) No 543/2009? |
YES |
Unharvested areas are included in the crop areas. |
| Are there differences between the national methodology and the methodology described in the Handbook concerning e.g. the item and aggregate calculations? |
YES |
The submitted data on C1420 Spring cereals mixtures includes also mixtures of spring cereals and dried pulses. The submitted data on "Energy crops n.e.c." refer to Reed canary grass. This crop is used both for energy purposes and for litter, and to some extent also for fodder. Production from grazed areas is not collected, instead 60% of the yield from Temporary grasses is used as a substitute. Temporary Leguminous plants harvested green are not collected separately in the Swedish crop production survey, but together with Temporary grasses. Annual Leguminous crops harvested green are insignificant and are submitted together with Other plants harvested green from arable land n.e.c. until 2017. In the final data from 2018 and onwards Annual Leguminous crops harvested green is submitted as G2900 Other leguminous plants harvested green. Temporary grasses and grazing - in Sweden we stick to the first part of the definition: "included as a part of a normal crop rotation" but ignore the second part: "lasting at least one crop year and less than 5 years". In Sweden there is no difference between a parcel of Temporary grasses and grazings lasting 4 years and a parcel lasting 5 years. Introducing separate data collection on production from Temporary grasses lasting less than 5 years and lasting 5 years and more would increase the response burden for our farmers dramatically, lower the data quality, and reduce the response rate in the crop production survey. |
| Are special estimation/calculation methods used for main crops from arable land? |
YES |
The area under cultivation corresponds to the sown area, also after the harvest, even if parts of the sown area have been ruined e.g. due to natural disasters. However, areas recorded as cereals, dried pulses and oil seed crops harvested green, according to information from the farmers in the yield survey, are withdrawn and added to "Plants harvested green". Thus, the area of cereals, dried pulses and oil seed crops can be reduced during the crop year.
The yield is calculated per sown area. If some areas were ruined during the growing period, this will lead to reduced yields instead of reduced crop areas. But information on unharvested areas are collected for most of the crops and statistics on unharvested areas are published in Sweden. |
| Are special estimation/calculation methods used for vegetables or strawberries? |
YES |
For many minor crops (mainly crops with a harvested area of less than 100 hectares), a regression model was used to calculate area and production based on data from The Horticultural Censuses which were conducted every third year during the period 1999-2020 |
| Are special estimation/calculation methods used for permanent crops for human consumption? |
YES |
For many minor crops (mainly crops with a harvested area of less than 100 hectares), a regression model was used to calculate area and production based on data from The Horticultural Censuses which were conducted every third year during the period 1999-2020 |
| Are special estimation/calculation methods used for main land use? |
NO |
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| Do national crop item definitions differ from the definitions in the Handbook (D-flagged data)? |
NO |
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| In case yes, how do they differ? ( list all items and explanations) |
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| In case data are delivered for one of the items below, describe the crop species included in the item: |
P9000 - Other dry pulses and protein crops n.e.c.
G9100- Other cereals harvested green (excluding green maize) |
Other dry pulses and protein crops n.e.c.: Kidney bean, Phaseolus vulgaris L. Other cereals harvested green from arable land n.e.c.: All cereals (exept maize) harvested green according to the crop production survey and a crop code in IACS named "Cereals for green fodder/silage" Other plants harvested green from arable land n.e.c.: All all oilseeds harvested green according to the crop production survey, and a crop code in IACS named "Green fodder". |
Population
Which measures were taken in order to make sure that the requirement stipulated in Art. 3.2 are met?
(Statistics shall be representative of at least 95 % of the areas of each table in the Regulation). |
IACS, the farm register and FSS-results are used as benchmarks. |
| Is the data collection based on holdings? |
YES |
| If yes, how the holdings were identified? |
Other |
| If not, on which unit the data collection is based on? |
|
| When was last update of the holding register? (month/year) |
10/2022 |
| Was a threshold applied? |
YES |
| If yes, size of the excluded area |
Area excluded on the basis of the threshold in % of the total area for that crop |
| Cereals for the production of grain (in %) |
0.10 % Crop areas outside IACS har not been investigated for several years, so this is en estimation. |
| Dried pulses and protein crops (in %) |
0.03 % Crop areas outside IACS har not been investigated for several years, so this is en estimation. |
| Root crops (in %) |
0.07 % Crop areas outside IACS har not been investigated for several years, so this is en estimation. |
| Oilseeds (in %) |
0.05 % Crop areas outside IACS har not been investigated for several years, so this is en estimation. |
| Other industrial crops (included all industrial crops besides oilseeds) (in %) |
|
| Plants harvested green from arable land (in %) |
1.1 % Crop areas outside IACS har not been investigated for several years, so this is en estimation. |
| Total vegetables, melons and strawberries (in %) |
0.4 % |
| Cultivated mushrooms (in %) |
|
| Total permanent crops (in %) |
|
| Fruit trees (in %) |
0.3 % |
| Berries (in %) |
1.4 % |
| Nut trees (in %) |
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| Citrus fruit trees (in %) |
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| Vineyards (in %) |
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| Olive trees (in %) |
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Survey method (only for census and surveys)
| |
Survey 1 |
Survey 2 |
Survey 3 |
Survey 4 |
Survey 5 |
Survey 6 |
Survey 7 |
| Name of the survey |
The crop statistics survey on cereals, dried pulses and oil seed crops |
The survey on areas of cereals and oilseed crops sown in the autumn |
The crop statistics survey on table potatoes |
The crop statistics survey on potatoes for producrion of starch |
Horticultural production 2022 |
The 2020 Horticultural Census |
Crop statistics received from Nordic Sugar |
| Which survey method was used? |
On-line electronic questionnaire filled in by respondent
Telephone interview, electronic questionnaire |
On-line electronic questionnaire filled in by respondent
Telephone interview, electronic questionnaire |
On-line electronic questionnaire filled in by respondent
Telephone interview, electronic questionnaire |
On-line electronic questionnaire filled in by respondent
Telephone interview, electronic questionnaire |
On-line electronic questionnaire filled in by respondent
Postal questionnaire filled in by respondent |
On-line electronic questionnaire filled in by respondent
Postal questionnaire filled in by respondent |
Other |
| If 'other', please specify |
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Data received by e-mail. |
| Please provide a link to the questionnaire |
Not available |
Not available |
Not available |
Not available |
https://jordbruksverket.se/download/18.5eac015f1871243154c76080/1679907525631/STAF%20JO0607-tga.pdf |
https://jordbruksverket.se/download/18.1f28908417a471ae1fe7eb18/1624876069756/JO0102%20STAF.pdf |
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| Data entry method, if paper questionnaires? |
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Manual |
Optical |
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Administrative data (This question block is only for administrative data)
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Admin source 1 |
Admin source 2 |
Admin source 3 |
Admin source 4 |
Admin source 5 |
Admin source 6 |
| Name of the register |
IACS |
Swedish Farm register |
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| Description |
Based on on the farmers' applications for subsidies |
Based on on the farmers' applications for subsidies, Central livestock register, questionnaires etc. |
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| Data owner (organisation) |
Swedish Board of Agriculture |
Swedish Board of Agriculture |
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| Update frequency |
Continuous |
Once per year or more often |
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| Reference date (month/year) |
06/2019 |
06/2019 |
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| Legal basis |
European Parliament and Council Regulation (EU) No 1306/2013 |
SJVFS 2016-7 (regulation from the Swedish Board of Agriculture) |
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| Reporting unit |
Holding |
Holding |
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| Identification variable (e.g. address, unique code, etc.) |
Unique code |
Unique code |
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| Percentage of mismatches (%) |
Unknown, low |
Unknown, low |
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| How were the mismatches handled? |
Searching in other data sources |
Searching in other data sources |
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| Degree of coverage (holdings, e.g. 80%) |
97.6 % |
100 % |
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| Degree of completeness (variables, e.g. 60%) |
95 % |
100 % |
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| If not complete, which other sources were used ? |
Variables not covered are insignificant and data are thus not collected |
https://jordbruksverket.se/download/18.5ddab24d172e937aab1355f6/1593100086668/F%C3%B6rdjupad%20dokumentation%20av%20statistiken%20f%C3%B6r%20arealer%20slutliga%20och%20prelimin%C3%A4ra%202013.pdf When it comes to degree of coverage of holdings, the 5 % outside the Farm register recorded above correspond with holdings under the thresholds for the Farm register. |
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| Were the data used for sample frame? |
Sample frame
Validation
Directly for estimates |
Sample frame
Directly for estimates |
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| Data used for other purposes, which? |
For example analysing trends |
For example analysing trends |
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| Which variables were taken from administrative sources? |
Crop areas, contact information to farmers |
Final data on crop areas |
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| Were there any differences in the definition of the variables between the administrative source and those described in the Regulation? |
YES |
YES |
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| Please describe the differences |
Crop areas harvested as green fodder are to some extent included in crop areas for cereals, dried pulses and oil seed crops. |
Crop areas harvested as green fodder are to some extent included in crop areas for cereals, dried pulses and oil seed crops. |
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| What measures were taken to eliminate the differences? |
Crop areas harvested as green fodder are collected in the crop production survey. |
Crop areas harvested as green fodder are collected in the crop production survey. |
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| How was the reliability, accuracy and coherence (comparison to other available data) of the data originated from administrative data source (ante- and/or ex-post) checked? |
Preprinted crop areas can be corrected by the farmers in the crop production survey. |
Crop areas of cereals, dried pulses and oil seed crops from the Farm register are reduced by estimated areas harvested as green fodder according to the crop production survey. |
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| What were the possible limitations, drawbacks of using the data from administrative source(s)? |
A single application for subsidies can sometimes cover different holdings in different regions, thus regional area distribution in the administrative source may differ slightly from the true area distribution. |
The reference date 15 june has the effect that some farmers do not yet know if the crops will be threshed or harvested as green fodder. |
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Expert estimations (This question block is only for expert estimates)
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Expert estimate 1 |
Expert estimate 2 |
Expert estimate 3 |
Expert estimate 4 |
Expert estimate 5 |
Expert estimate 6 |
| Name of the estimation |
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| Data owner (organisation) |
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| Update frequency (e.g. 1 year or 6 months) |
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| Reference date (Month/Year e.g. 1/22 - 8/22) |
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| Legal basis |
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| Use purpose of the estimates? |
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| What kind of expertise the experts have? |
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| What kind of estimation methods were used? |
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| Were there any differences in the definition of the variables between the experts' estimates and those described in the Regulation? |
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| If yes, please describe the differences |
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| What measures were taken to eliminate the differences? |
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| How were the reliability, accuracy and coherence (comparison to other available data) of the data originated from experts' estimates (ante- and/or ex-post)checked? |
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| What were the possible limitations, drawbacks of using the data from expert estimate(s)? |
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| Additional comments |
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Annexes:
In Sweden there are more than seven crop production surveys.
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