The average family farm income in Ireland was at its highest in 2023 at about ****** euros per farm annually, a decrease from ****** euros per farm in the previous year.

Graph and download economic data for Net farm income, USDA (B1448C1A027NBEA) from 1967 to 2023 about USDA, agriculture, Net, income, GDP, and USA.

This statistic shows the total gross farm income in the United States from 2000 to 2024. In 2001, the gross farm income totaled some 249.9 billion U.S. dollars. By the end of 2023, it increased to 573 billion U.S. dollars.

Average total income of farm families by farm type, unincorporated sector, for Canada and provinces (in dollars). Data available on an annual basis.

Dairy farming yields the highest average family farm income in Ireland by a margin of ****** euros per farm in 2023. All farm systems experienced a significant decrease in average family income in 2023.

Total and average off-farm income and net operating income of farm families by farm type, unincorporated sector (dollars unless otherwise noted) for Canada. Data are available on an annual basis.

In 2019, the agricultural households in rural India earned an average monthly income of over ** thousand Indian rupees. This was an increase in the average monthly income of farmers from 2013 when the households earned **** thousand rupees.

Aggregate totals represent summed weighted totals of the survey sample for each year. Average figures per farm have been rounded to the nearest £100, therefore rounded figures may not add up exactly to totals. Percentage calculations have been undertaken on unrounded figures.

Average net market income of farms, by revenue class and income quintile, incorporated and unincorporated sectors, Canada (in dollars). Data are available on an annual basis.

State fact sheets provide information on population, income, education, employment, federal funds, organic agriculture, farm characteristics, farm financial indicators, top commodities, and exports, for each State in the United States. Links to county-level data are included when available.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Query tool For complete information, please visit https://data.gov.

Sheep and horse breeders are the French farmers who on average have the lowest wages. In 2018, they received 620 euros net per month (before tax), and 580 euros in 2020. As a reminder, in 2020, the poverty line in France was estimated at 50% of the national median income, i.e. 867 euros for a single person. Winegrowers were the best paid in the agricultural sector in France in 2018, they received on average 3,310 euros per month that year. In 2020, however, their monthly wages had decreased 2,720 euros.

Aggregate Total Income From Farming (TIFF) estimates including values for Inputs, Outputs, Grants and Subsidies. Average Farm Business Income estimates by farm type.

Source agency: Scottish Government

Designation: National Statistics

Language: English

Alternative title: Farm Income Estimates

Average off-farm income and average net operating income of farm operators by revenue class, by province (dollars). Data are available on an annual basis.

This statistic shows the total net farm income in the U.S. from 2000 to 2024. In 2024, the net farm income was projected to total some 116.1 billion U.S. dollars.

Information on farm household income and farm household composition. Source agency: Environment, Food and Rural Affairs Designation: National Statistics Language: English Alternative title: Farm Household Income and Household Composition, England

If you require the datasets in a more accessible format, please contact fbs.queries@defra.gsi.gov.uk

Background and guidance on the statistics

Information on farm household income and farm household composition was collected in the Farm Business Survey (FBS) for England for the first time in 2004/05. Collection of household income data is restricted to the household of the principal farmer from each farm business. For practical reasons, data is not collected for the households of any other farmers and partners. Two-thirds of farm businesses have an input only from the principal farmer’s household (see table 5). However, details of household composition are collected for the households of all farmers and partners in the business, but not employed farm workers.

Data on the income of farm households is used in conjunction with other economic information for the agricultural sector (e.g. farm business income) to help inform policy decisions and to help monitor and evaluate current policies relating to agriculture in the United Kingdom by Government. It also informs wider research into the economic performance of the agricultural industry.

This release gives the main results from the income and composition of farm households and the off-farm activities of the farmer and their spouse (Including common law partners) sections of the FBS. These sections include information on the household income of the principal farmer’s household, off-farm income sources for the farmer and spouse and incomes of other members of their household and the number of working age and pensionable adults and children in each of the households on the farm (the information on household composition can be found in Appendix B).

This release provides the main results from the 2013/14 FBS. The results are presented together with confidence intervals.

Survey content and methodology

The Farm Business Survey (FBS) is an annual survey providing information on the financial position and physical and economic performance of farm businesses in England. The sample of around 1,900 farm businesses covers all regions of England and all types of farming with the data being collected by face to face interview with the farmer. Results are weighted to represent the whole population of farm businesses that have at least 25 thousand Euros of standard output as recorded in the annual June Survey of Agriculture and Horticulture. In 2013 there were just over 58 thousand farm businesses meeting this criteria.

Since 2009/10 a sub-sample of around 1,000 farms in the FBS has taken part in both the additional surveys on the income and composition of farm households and the off-farm activities of the farmer and their spouse. In previous years, the sub-sample had included over 1,600 farms. As such, caution should be taken when comparing to earlier years.

The farms that responded to the additional survey on household incomes and off-farm activities of the farmer and spouse had similar characteristics to those farms in the main FBS in terms of farm type and geographical location. However, there is a smaller proportion of very large farms in the additional survey than in the main FBS. Full details of the characteristic of responding farms can be found at Appendix A of the notice.

For further information about the Farm Business Survey please see: https://www.gov.uk/government/organisations/department-for-environment-food-rural-affairs/series/farm-business-survey

Data analysis

The results from the FBS relate to farms which have a standard output of at least 25,000 Euros. Initial weights are applied to the FBS records based on the inverse sampling fraction for each design stratum (farm type by farm size). These weights are then adjusted (calibration weighting) so that they can produce unbiased estimators of a number of different target variables. Completion of the additional survey on household incomes and off-farm activities of the farmer and spouse was voluntary and a sample of around 1,000 farms was achieved. In order to take account of non-response, the results have been reweighted using a method that preserves marginal totals for populations according to farm type and farm size groups. As such, farm population totals for other classifications (e.g. regions) will not be in-line with results using the main FBS weights, nor will any results produced for variables derived from the rest of the FBS (e.g. farm business income).

Accuracy and reliability of the results

We show 95% confidence intervals against the results. These show the range of values that may apply to the figures. They mean that we are 95% confident that this range contains the true value. They are calculated as the standard errors (se) multiplied by 1.96 to give the 95% confidence interval. The standard errors only give an indication of the sampling error. They do not reflect any other sources of survey errors, such as non-response bias. For the Farm Business Survey, the confidence limits shown are appropriate for comparing groups within the same year only; they should not be used for comparing with previous years since they do not allow for the fact that many of the same farms will have contributed to the Farm Business Survey in both years.

Availability of results

This release contains headline results for each section. The full set of results can be found at: https://www.gov.uk/government/organisations/department-for-environment-food-rural-affairs/series/farm-business-survey#publications

Defra statistical notices can be viewed on the on the statistics pages of the Defra website at https://www.gov.uk/government/organisations/department-for-environment-food-rural-affairs/about/statistics. This site also shows details of future publications, with pre-announced dates.

Data Uses

Data from the Farm Business Survey (FBS) are provided to the EU as part of the Farm Accountancy Data Network (FADN). The data have been used to help inform policy decisions (e.g. Reform of Pillar 1 and Pillar 2 of Common Agricultural Policy) and to help monitor and evaluate current policies relating to agriculture in England (and the EU). It is also widely used by the industry for benchmarking and informs wider research into the economic performance of the agricultural industry.

User engagement

As part of our ongoing commitment to compliance with the Code of Practice for Official Statistics http://www.statisticsauthority.gov.uk/assessment/code-of-practice/index.html, we wish to strengthen our engagement with users of these statistics and better understand the use made of them and the types of decisions that they inform. Consequently, we invite users to make themselves known, to advise us of the use they do, or might, make of these statistics, and what their wishes are in terms of engagement. Feedback on this notice and enquiries about these statistics are also welcome.

Definitions

Household income of the principal farmer Principal farmer’s household income has the following components: (1) The share of farm business income (FBI) (including income from farm diversification) attributable to the principal farmer and their spouse. (2) Principal farmer’s and spouse’s off farm income from employment and self-employment, investment income, pensions and social payments. (3) Income of other household members. The share of farm business income and all employment and self-employment incomes, investment income and pension income are recorded as gross of income tax payments and National Insurance contributions, but after pension contributions. In addition, no deduction is made for council tax.

Household A household is defined as a single person or group of people living at the same address as their only or main residence, who either share one meal a day together or share the living accommodation. A household must contain at least one person who received drawings from the farm business or who took a share of the profit from the business.

Drawings Drawings represent the monies which the farmer takes from the business for their own personal use. The percentage of total drawings going to each household is collected and is used to calculate the total share of farm business income for the principal farmer’s household.

Mean Mean household income of individuals is the ”average”, found by adding up the weighted household incomes for each individual farm in the population for analysis and dividing the result by the corresponding weighted number of farms. In this report average is usually taken to refer to the mean.

Percentiles These are the values which divide the population for analysis, when ranked by an output variable (e.g. household income or net worth), into 100 equal-sized groups. E.g. twenty five per cent of the population would have incomes below the 25th percentile.

Median Median household income divides the population, when ranked by an output variable, into two equal sized groups. The median of the whole population is the same as the 50th percentile. The term is also used for the midpoint of the subsets of the income distribution

Quartiles Quartiles are values which divide the population, when ranked by an output variable, into four equal-sized groups. The lowest quartile is the same as the 25th percentile. The divisions of a population split by quartiles are referred to as quarters in this publication.

Quintiles Quintiles are values which divide the population, when ranked by an output variable, into five equal-sized groups. The divisions of a population split by quintiles are referred to as fifths in this publication.

Assets Assets include

Total and average off-farm income by source and total and average net operating income of farm operators, incorporated and unincorporated sectors (in dollars), for Canada and the provinces. Data are available on an annual basis.

Get statistical data on the average net operating income by region and county in Ontario. The data includes:

• total gross farm receipts (excluding sales of forest products) - distribution
• total gross farm receipts (excluding sales of forest products) in the calendar year prior to the census or for the last complete fiscal year prior to the census – farms reporting
• total gross farm receipts (excluding sales of forest products) in the calendar year prior to the census or for the last complete fiscal year prior to the census – amount in dollars
• total farm business operating expenses in the calendar year prior to the census or for the last complete fiscal year prior to the census – amount in dollars
• average net operating income per farm
• net operating income per total dollar of gross farm receipts
• operating expenses as a percentage of total gross farm receipts

Statistical data are compiled to serve as a source of agriculture and food statistics for the province of Ontario. Data are prepared primarily by Statistics and Economics staff of the Ministry of Agriculture, Food and Agribusiness, in co-operation with the Agriculture Division of Statistics Canada and various government departments and farm marketing boards.

Instability (or variability) in farm income represents a significant challenge for farm management and the design of public policies. Identifying farming practices which can increase the stability of farm income may help farms to cope with shocks such as extreme weather events and economic challenges. Farming practices associated with increasing agricultural diversity and agri-environment schemes are considered to improve ecological functions and landscape resilience, however, their effect on the stability of farm income is not well known. Using a multilevel model, we analyse the effect of a range of farming practices and subsidies on the stability of farm income, and their relative importance, using four different measures of stability. We examine data for 2333 farms in England and Wales, from 2007 to 2015, and use separate multilevel models for a range of different farm types to provide targeted recommendations for farmers. Here we show that greater agricultural diversity (i.e. lower degree of specialisation in different crop and livestock activities) increases the stability of farm income, in dairy, general cropping, cereal and mixed farms. Agricultural diversity is a particularly important factor for general cropping farms; increasing the degree of specialisation by one standard deviation (we use standardised coefficients), increases the variability of income by approximately 20%. Dairy, general cropping and mixed farms that receive more agri-environment payments also have more stable incomes, reducing variability by between 4 and 8%. In contrast, an increase in direct subsidies paid to farmers based on the area farmed is associated with a relatively large decrease in the stability of farm income, ranging from 6 to 35% across most farm types. Reducing the intensity of inputs is found to be an important factor increasing the stability of income for all farm types; on average reducing the intensity of inputs reduces variability of income by 20%. Practices associated with increasing agricultural diversity and agri-environment schemes have previously been found to lead to a better provision of ecosystem services and resilience to abiotic stresses, reducing the need for expensive chemical inputs. Engagement in environmentally sustainable farming practices including agri-environment schemes, increasing agricultural diversity, and reducing the intensity of inputs, may increase the stability of many farm businesses whilst at the same time reducing negative impacts of farming on the environment.