Welcome to our data visualization page. Here, we present key insights on agroforestry in Europe through clear and informative visuals. The data featured on this page was curated by the Euro-Mediterranean Economists Association’s research team, ReForest’s Coordinator the Czech University of Life Sciences Prague, and the Organic Research Centre.
You will find data from ReForest’s Living Labs as well as from reliable public sources. These sources provide a comprehensive overview of key trends and findings related to agroforestry practices.
We hope these visualizations enhance your understanding of our research and the positive impact of sustainable agroforestry. We also invite you to share your thoughts and feedback on the graphs in the Members’ Newsfeed. Your insights help us improve and broaden the conversation around sustainable land management and agroforestry.
1. ReForest Living Labs Data
The following graphs depict part of the data collected from Living Labs as part of the Reforest Reasearch Activities between 2022 and 2024 in collaboration with 14 ReForest Living Labs Farms
ReForest Member State (CAP) Budget
This histogram shows the CAP budget allocation for each members states where ReForest Living Labs are located and is differentiated by pillars.
Dark Blue: Direct Payments
Green: Sectorial Intervention (2024 Budget)
Light Bleu: (EAGF) European Agricultural Guarantee Fund
Pink: Direct Payement – EAGF
Orange: EAGF/Sectoral Interventions – (2024 – 2028)
Yellow: EAFRD/Rural Development – (2023 – 2029)
Distribution of ReForest Farms per Area (in hectares)
The histogram shows the distribution of farms within a certain range of area (in hectars).
Distribution of ReForest Size on Lab Size
The histogram shows the distribution of farms according to their size in hectars according to tresholds defined by ReForest Reasearch team
Where:
Very Small = farms between 0.5 – 1.5 hectares
Small = farms between 5.5 – 12 hectares
Medium = farms between 17 – 27 hectares
Large = farm with 80 hectar
Very Large = farms between 500-600 hectares
Distribution of ReForest Living Labs Farms on Live Stock
The pie chart reveals the percentage of farms that have or do not have livestock on their fields.
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Distribution of ReForest Living Labs Farms on type of Agroforesty practices
The histogram shows the distribution of ReForest Living Labs’ farms according to their Agroforesty practices
Where:
AS = Silvo-Arable
SP= Silvo-Pastural
ASP = Hybrid
Distribution of Reforest Living Labs according to their year of adoption of Agroforesty Practices
The histogram shows the distribution of ReForest Living Labs’s year of adoption of agroforesty preactices according to tresholds defined by ReForest Reasearch team
Where:
First = 1995
Early = 2006 – 2010
Mid = 2017 – 2019
Late = 2021 – 2023
Data management:
Data was retrieved from ReForest research in collaboration with the project’s living labs, It was then cleane and treated by EMEA’s Research Team.
2. Farm Accountancy Data Network (FADN)
The Farm Accountancy Data Network (FADN) is an instrument for evaluating the income of agricultural holdings and the impacts of the Common Agricultural Policy. The concept of the FADN was launched in 1965, when Council Regulation 79/65 established the legal basis for the organisation of the network. It consists of an annual survey carried out by the Member States of the European Union.
Average Total Output (in €) Per Farm in Europe 2004-2022
The following time series depicts a positive trend of the average total output of Farms in Europe.
Total Output (€/farm) refers to the total monetary value of all goods and services produced by a farm during a given accounting year.
This is expressed in euros per farm and includes revenues from:
Crop Output: Sales of crops such as cereals, vegetables, fruits, and other plant products. – Livestock Output: Sales of animals and animal products (e.g., milk, meat, wool). – Secondary Activities: Revenues from processing activities (e.g., making cheese from milk). Revenues from non-agricultural activities that are closely linked to farming, such as agri-tourism. – Subsidies Linked to Production: These include direct payments or grants tied to production volume or type.
Average Total Labor Input all EU countries (2004-2022)
The timeseries shows a negative trend of total amount of human labor used in agricultural activities between 2004 and 2022.
Total Labor Input (AWU/farm) quantifies the total amount of human labor used in agricultural activities, normalized to Annual Work Units (AWU). One AWU represents the equivalent of one person working full-time on a farm for a year.1 AWU = 2,200 working hours per year, based on a standard 40-44 hour work week.
It includes labor from all sources:
1. Family Labor: Work performed by the farmer and their family members.
2. Hired Labor: Full-time, part-time, and seasonal laborers employed on the farm.
3. Contract Labor: External contractors performing farm work.
Average Wage Paid per Farms in Europe per Year between 2004 and 2022
The timeline shows a positive trend of the evolution of average wage paid per farm in Europe per year between 2004 and 2022.
Type Wages Paid (€/farm) is the sum of all payments made by a farm to hired labor, divided by the total number of farms.
This includes:
1. Salaries or hourly wages for permanent and part-time employees.
2. Payments for seasonal workers or casual labor.
3. Other monetary compensations, such as bonuses or benefits tied directly to employment.
Cross comparison of ReForest’s Countries’ & Europe Total Output between 2004 and 2022
The following time series shows a cross crounty-comparison of total output between ReForest countries and EU average.
Total Output (€/farm) refers to the total monetary value of all goods and services produced by a farm during a given accounting year.
This is expressed in euros per farm and includes revenues from:
Crop Output: Sales of crops such as cereals, vegetables, fruits, and other plant products. – Livestock Output: Sales of animals and animal products (e.g., milk, meat, wool). – Secondary Activities: Revenues from processing activities (e.g., making cheese from milk). Revenues from non-agricultural activities that are closely linked to farming, such as agri-tourism. – Subsidies Linked to Production: These include direct payments or grants tied to production volume or type.
Cross comparison of ReForest’s Countries’ & Europe for Total Labor Input between 2004 and 2022
The following time series shows a cross crounty-comparison of total labor input between ReForest countries and EU average.
Total Labor Input (AWU/farm) quantifies the total amount of human labor used in agricultural activities, normalized to Annual Work Units (AWU). One AWU represents the equivalent of one person working full-time on a farm for a year.1 AWU = 2,200 working hours per year, based on a standard 40-44 hour work week.
It includes labor from all sources:
1. Family Labor: Work performed by the farmer and their family members.
2. Hired Labor: Full-time, part-time, and seasonal laborers employed on the farm.
3. Contract Labor: External contractors performing farm work.
Cross comparison of ReForest’s Countries’ & Europe for Average Wages Paid over time between 2004 and 2022
The following time series shows a cross crounty-comparison of average wages paid over time between ReForest countries and EU average.
Type Wages Paid (€/farm) is the sum of all payments made by a farm to hired labor, divided by the total number of farms.
This includes:
1. Salaries or hourly wages for permanent and part-time employees.
2. Payments for seasonal workers or casual labor.
3. Other monetary compensations, such as bonuses or benefits tied directly to employment.
Total Utilised Agricultural Area (ha/farm) in Europe
These maps show the total utilised agricultural Area (he/fa) in Europe between 2019 and 2022.
Countries in Grey = Non Available data
ReForest Countries Farm Net Income (€/farm)
The Map shows the Net Income Average per Farm per Countries in Europe between 2019 & 2022.
Countries in Grey = Non Avaiable data
Data Management: Retrieved from: FADN PUBLIC DATABASE SO
3. Directorate-General for Agriculture and Rural Development (CAP – AgriData)
The following graph depicts data collected from the Directorate -General for Agriculture and Rural Development which is the department from the European Commission is responsible for EU policy on agriculture and rural development and deals with all aspects of the common agricultural policy (CAP).
Cross Comparison of the Average CAP expenditure over time per ReForest countries and EU average
The time serie shows a cross-comparison of average expenditure over time of ReForest Countries and EU average between 2004 and 2022.
Green: ReForest Countries
Pink: EU Average
Data management:
Data was retrieved from https://agridata.ec.europa.eu/extensions/DashboardCapPlan/result_indicators.html, It was then cleaned on R: Living_Labs_Merged.R and saved as this Excel File: merged_data_manual.xlsx. Lastly, plots were transferred to Infogram, where we generated the embeded links: Infogram
4. Food and Agriculture Organization of the United Nations (FAOSTAT)
The following graphs depict data collected from FAOSTAT which provides free access to food and agriculture statistics (including crop, livestock, and forestry sub-sectors) for over 245 countries and territories and covers all FAO regional groupings from 1961 to the most recent year available.
ReForest Countries: Cost of a healthy diet (PPP US Dollar per person per day).
The Cross-Country time series graph illustrates the cost of a healthy diet (in PPP dollars per person per day) across six ReForest countries over the period 20017 to 2022. Overall, the cost has increased steadily for all countries, but starting at different levels.
ReForest Countries: Percentage of the Population unable to afford a healthy diet (percent)
The cross-country time series graph illustrates the percentage of the population unable to afford a healthy diet across six ReForest countries, as well as the OECD and World averages, over the period 2017 to 2021. Overall, the percentages show a decline for most countries, while the OECD and World averages remain distinctly apart, highlighting significant disparities
Data management:
Data was retrieved from https://www.fao.org/faostat/en/#data. It was then cleaned on R: Living_Labs_Merged.R and saved as this Excel File: merged_data_manual.xlsx. Lastly, plots were transferred to Infogram, where we generated the embedded links: Infogram
