About the statistics

1. Administrative information

1.1. Name

Sample survey of agriculture and forestry

1.2. Subject group

10.04.10 - Agriculture, hunting, wildlife conservation

1.3. Frequency and timeliness

Annual

1.4. Regional level

County

1.5. Responsible division

430 - Division for Primary Industry Statistics

1.6. Legal authority

Statistics Act Section 2-1, 2-2, 2-3

1.7. Legal document(EU)

Not relevant.

1.8. International reporting

Data are delivered to Eurostat by agreement.

2. Background and purpose

2.1. Purpose and history

The purpose of the Survey of Agriculture is to obtain relevant data not found in administrative data systems, and to obtain data for units not covered by administrative systems.

The Survey of Agriculture is designed to form a picture of the agriculture industry in Norway (the number of holdings and properties) through various questions. The questions vary from year to year (labour, liabilities, investments, fixed assets, extended forest survey etc.).

2.2. Users and applications

Data from the survey are used by professional organizations, the Budget Committee for Agriculture, the Ministry of Agriculture and Food, the Ministry of Environment, various research institutions such as the Norwegian Agricultural Economics Research Institute and the Division for Environmental Statistics at Statistics Norway.

3. Statistics production

3.1. Population

The population is active holdings registered in the administrative Farm Register of the Norwegian Agricultural Authority, and covers all units that meet one or more conditions relating to minimum operating standards. An example of such conditions is that a holding must have at least 5 decares of agricultural area in use.

3.2. Data sources

The majority of the data comes directly from respondents who fill out forms for the annual agricultural survey. The Agricultural Register provides information on the size of the agricultural and forest area, persons associated with the property/holding and what their association is with the property/holding.

3.3. Sampling

Each year a sample is drawn from the Farm Register for the Survey of Agriculture. The size of the sample varies between 10 000 and 12 000 active holdings, stratified by the size of the agricultural area and type of production in each county.

3.4. Collection of data

Forms are sent to the holdings drawn for inclusion in the survey. The owner or holder of the property provides the data. Until 2005 the municipal agricultural administration played an important role in collecting and giving the forms an initial inspection.

3.5. Control and revision

A number of controls and corrections are done to ensure consistency both on a single form and between forms and available register information. Among other things, the local agriculture offices are contacted to clear up various questions.

3.6. Estimation

The sample is stratified by location, utilized agricultural area and farm type.

3.7. 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.

4. Concepts, variables and classifications

4.1. Definitions of the main concepts and variables

Agricultural holding: All agricultural area operated by the same holder belongs to the same holding regardless of whether it includes several land numbers, title numbers and lease numbers.

Holder(s): The person(s) who is responsible for farming it.

Agricultural area in use: Comprises all owned and rented agricultural area in use at the holding, including fields that lie fallow a year. Agricultural areas include cultivated and surface-cultivated land, and other fertilized pastures.

Supplementary industry: An activity that uses the land, buildings or machinery belonging to the holding.

Gross income: The sum of all incomes excluded value added tax, and not deducted any costs.

4.2. Standard classifications

County where the holding is located, size of holding expressed in decares of utilized agricultural area and type of farming of the holding.

Type of farming: Statistics Norway has established a system for classification of agricultural holdings by type of farming and economic size. The system allows for comparison within EU-countries, and is based on standard gross margin as common measurement for various outputs within agriculture. The standard gross margin is the balance between standard values of certain direct costs easily allocated to this output. Costs related to the following are not deducted: labour input, machinery (repairs, depreciation etc.), fuel and buildings. The type of farming on a holding is determined based on the relative contribution of different enterprises to the holdings total standard gross margin.

5. Sources of error and uncertainty

5.1. Measurement and processing errors

Primary data are obtained from the forms filled out by the respondents. They may contain errors made by the individual respondents when he or she filled out the form. A number of errors are discovered and corrected by those who go through forms during the revision 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.

5.2 Non-response errors

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.

5.3. Sampling errors

Variance: 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.

Bias: All types of holdings are included in the Survey of Agriculture sample. To provide a better representation in certain counties with few holdings a higher percentage of holdings are selected in these areas.

5.4. Other sources of error

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

6. Comparability and coherence

6.1. Comparability over time and space

The statistics are basically comparable back to the end of 1940th. However, for some variables there will be a break e.g. between 1998 and 1999. The reason for this is that the method used for estimating the number of holdings from 1990 to 1998 gradually led to too high figures. This was evidently shown by the results of the complete census of agriculture for 1999.

In 2007, the question related to supplementary industries was expanded. In addition to ticking off for relevant industry, the respondents were asked to fill in the corresponding gross income. This modification may have caused a somewhat higher item non-response.

6.2. Coherence with other statistics

Not relevant.

7. Availability

7.1. Publications and other links

The statistics are published electronically via Today's Statistics on Statistics Norway's website
The statistics are also published in the Statistical Yearbook of Norway and in NOS Agriculture Statistics.

7.2. Microdata

Reviewed and revised microdata are stored.


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