Intergrated Farm Statistics (IFS) 2026
Sector: Raw Materials • Location: Netherlands
Source: EU Funding & Tenders Portal
The objective of the project is to organize and implement the Integrated Farm Statistics (IFS) 2026, in compliance with Regulation n° 2018/1091. IFS is part of the programme of European surveys on the structure of agricultural holdings. The aim is to examine the trends in the structure of agricultural holdings at the Union level and to provide the statistical knowledge base necessary for the desig
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ongoing |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The objective of the project is to organize and implement the Integrated Farm Statistics (IFS) 2026, in compliance with Regulation n° 2018/1091. IFS is part of the programme of European surveys on the structure of agricultural holdings. The aim is to examine the trends in the structure of agricultural holdings at the Union level and to provide the statistical knowledge base necessary for the design, implementation, monitoring, evaluation and review of related policies, in particular the common agricultural policy (CAP), including rural development measures, as well as environmental, climate change adaptation and mitigation and land use policies of the Union and some Sustainable Development Goals (SDGs). The outcome of the IFS 2026 describes the structure of agricultural holdings providing the general characteristics of farms and farmers and information on their land, livestock and labour force. They also describe production methods, rural development measures and agro-environmental aspects that look at the impact of agriculture on the environment. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
