438138
/en/jord-skog-jakt-og-fiskeri/statistikker/jordbruksavling/aar
438138
statistikk
2021-02-23T08:00:00.000Z
Agriculture, forestry, hunting and fishing
en
jordbruksavling, Production of potatoes and forage plants, agricultural yield, forage, potatoes, hay, rye grass, silage, green fodderAgriculture , Agriculture, forestry, hunting and fishing
true

Production of potatoes and forage plants

Updated

Next update

Not yet determined

Key figures

-5.5 %

decrease in yield of meadows for mowing in 2020

Production of potatoes and forage plants. 1 000 tonnes
2020Per cent
2019 - 20202010 - 2020
Meadows for mowing converted into hay3 067.7-5.528.2
Crops for green fodder and silage159.1-8.2-19.9
Potato361.28.78.4

See selected tables from this statistics

Table 1 
Yield per decare of patoes and meadows for mowing, by county. Kilos

Yield per decare of patoes and meadows for mowing, by county. Kilos
PotatoMeadows for mowing converted into hay
20112 291587
20122 405635
20132 517558
20142 897648
20152 578708
20162 927666
20172 690621
20182 810466
20192 843727
20203 151689
 
2020
Oslo and Viken3 612692
Innlandet3 331730
Vestfold og Telemark3 170717
Agder2 616717
Rogaland3 135901
Vestland2 537671
Møre og Romsdal3 687653
Trøndelag - Trööndelage2 391702
Nordland2 308587
Troms og Finnmark - Romsa ja Finnmárku1 884347

Table 2 
Yield of potatoes and forage plants, by county. 1 000 tonnes

Yield of potatoes and forage plants, by county. 1 000 tonnes
PotatoCrops for green fodder and silageMeadows for mowing converted into hay
2011295.5151.42 523.4
2012304.7170.82 712.8
2013318.0183.12 418.3
2014357.7186.52 824.6
2015305.2182.33 035.7
2016350.8175.82 808.0
2017315.5179.82 603.2
2018326.4116.52 047.0
2019332.2173.33 247.2
2020361.2159.13 067.7
 
2020
Oslo and Viken46.022.6274.2
Innlandet189.954.9646.5
Vestfold og Telemark48.713.9127.3
Agder8.71.2136.1
Rogaland17.79.1418.1
Vestland2.52.0301.3
Møre og Romsdal6.61.7229.5
Trøndelag - Trööndelage32.839.6598.0
Nordland3.65.0241.8
Troms og Finnmark - Romsa ja Finnmárku4.89.394.9

Table 3 
Yield of potatoes and forage plants

Yield of potatoes and forage plants
Yield, tonnesKilos per decare
20172018201920202017201820192020
Meadows for mowing converted into hay2 603 2002 047 0003 247 0003 067 700621466727689
Crops for green fodder and silage179 800116 500173 300159 1001 8771 0541 5971 691
Annual rye-grass103 20059 50096 30085 4002 5291 2691 9341 934
Green forage mixtures/grain crops67 80052 50071 00063 6001 4379121 3521 465
Forage rape, marrow-stem kal etc6 7002 4003 8007 9002 6851 1992 0082 791
Potato315 500326 400332 200361 2002 6902 8102 8433 151

About the statistics

The statistics estimate the yield of potatoes, meadows for mowing and coarse fodder.

Definitions

Definitions of the main concepts and variables

Agricultural holding

A single unit both technically and economically, which has single management and which produces agricultural products. The holding is independent of municipality boundaries. The agricultural holding's headquarter must be located to an agricultural property.

Agricultural area in use

Agricultural land that is harvested at least once during a year, including planted area of permanent crops, where no harvest has been produced so far. Includes also arable land included in the crop rotation system with no intention to produce a harvest during the year, but which will be harvested the next year.



Meadows for mowing:
Include cultivated meadow and surface-cultivated meadow.

Coarse fodder crops:
Include area of rye-grass, grain for silage, fodder rape, fodder cale and fodder roots.

Fodder roots:
Include area of swedes and turnips for feed and fodder beets.

Standard classifications

Not relevant

Administrative information

Name and topic

Name: Production of potatoes and forage plants
Topic: Agriculture, forestry, hunting and fishing

Responsible division

Division for Housing, Property, Spatial and Agricultural Statistics

Regional level

County.

Frequency and timeliness

Annual.

International reporting

Eurostat, FAO.

Microdata

A data file with anonymous individual data is stored at Statistics Norway.

Background

Background and purpose

The purpose of the statistics is to estimate the yield of potatoes, meadows for mowing and coarse fodder in Norway. Since 1990, statistics on grain production have been provided by data from administrative sources.

Users and applications

The main users of the statistics are the Ministry of Agriculture and Food, the Norwegian Agricultural Economics Research Institute, the Agricultural Budget Commission, the Norwegian Farmers Union, the Norwegian Smallholders Union etc.

Equal treatment of users

No external users have access to the statistics and analyses before they are published and accessible simultaneously for all users on ssb.no at 10 am. Prior to this, a minimum of three months' advance notice is given inthe Statistics Release Calendar. This is one of Statistics Norway’s key principles for ensuring that all users are treated equally.

Coherence with other statistics

Not relevant

Legal authority

Statistics Act §§2-1, 2-2, 2-3.

EEA reference

Not relevant

Production

Population

In a wider context official statistics on agricultural yields cover grain, potatoes and forage plants. Statistics on grain production are based on administrative data, Agricultural yields and production

Statistics on yield of potatoes and forage plants are based on a yearly sample survey. The target population of this survey is holdings referring to these crops when applying for governmental grants.

Data sources and sampling

The register of holders applying for governmental grants provides information on persons associated with the holding and the size of areas used for potatoes, coarse fodder and meadows for mowing. Data on area harvested, and of total yield of each crop are provided by holders who fill in the forms of the annual survey.

Each year a sample is drawn from the register of holders applying for governmental grants. The size of the sample is about 3 100 holders.

All types of holdings with combinations of areas of potatoes, coarse fodder and meadows for mowing are included in the sample survey of agricultural yields. To provide a better representation in certain counties with few holdings a higher percentage of holdings are selected in these areas.

Collection of data, editing and estimations

In November each year, letters are sent to the holdings drawn for inclusion in the survey. As from 205, the farmers have to report via Internet.

A number of controls and corrections are done to ensure consistency both within a single form and between forms and available register information.

Primary data are obtained from the forms filled in by the respondents. They may contain errors made by the individual respondents when filling in the form. A number of errors are discovered and corrected during the editing process at Statistics Norway.

A number of errors during the collection and processing of the data are unavoidable and include errors that occur during revision, data processing errors etc. Extensive work has been carried out to reduce these errors as much as possible.

Data on area harvested and total yield of the different crops, are provided by the holders. Average yield is calculated regarded to this information. Total yield for the entire county is calculated by use of average yield from the sample survey, and area of the different crops in each county based on information from the total population of agricultural holdings.

Seasonal adjustment

Not relevant

Confidentiality

Figures based on few units (holdings) are not published if this causes risk for identifying any of the units concerned, or the results are considered to be all too uncertain for giving estimates.

Comparability over time and space

The statistics are basically comparable back to 1990.

Accuracy and reliability

Sources of error and uncertainty

Non-response in the survey is due to the failure of individual respondents to deliver questionnaires or that a property has been sold or is no longer farmed as an independent unit.

All sample surveys will be encumbered by a certain amount of uncertainty. Generally, the fewer the observations are, the more uncertain the results. Groups based on few observations will be particularly sensitive to extreme values, i.e. values that deviate considerably from the average. Such extreme values are consequently assigned a weight equal to 1, so that they only represent themselves in the material.

All types of holdings with various combinations of area of potatoes, coarse fodder and meadows for mowing are included in the sample survey. To provide a better representation in certain counties with few holdings a higher percentage of holdings are selected.

The quality of the register basis from which the sample is selected also has an impact on the quality of the final result.

Revision

Not relevant