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Unlocking Angola’s Agricultural Potential: the Census for Agriculture, Livestock and Fisheries (CALF) - UTF/ANG/061/ANG








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    Technical Assistance for the Angola Fisheries Sector Support Project - UTF/ANG/056/ANG 2021
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    Angola’s 1 650 kilometres of coastline support the livelihoods of a significant portion of its population through fisheries and aquaculture. Artisanal and semi industrial fisheries make up more than 80 percent of total fish production; however, the monitoring of these fisheries is not adequate, leading to post harvest losses and limiting the ability of small scale fishing communities to thrive. This project was implemented to provide technical assistance to the Fisheries Sector Support Project (FSSP), which sought to improve fisheries monitoring and landing site management and reduce post harvest losses in Angola. By addressing weaknesses in technical knowledge among the staff of the Ministry of Agriculture and Fisheries (MINAGRIP) and local fishing communities, the project aimed to build the capacities of these beneficiaries to manage Angola’s small scale artisanal fisheries in accordance with the principles of the Ecosystem Approach to Fisheries (EAF).
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    Support to the Preparatory Phase of the Agricultural Census of Eritrea and Initiation of a Permanent Agricultural Statistics System - TCP/ERI/3802 2024
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    Agriculture is by far the most important sector of the Eritrean economy, providing livelihoods for about three-quarters of the population and accounting for a significant share of the country's exports. The development of agriculture, including livestock, is crucial for food security and economic development and is a top priority for the Government. Comprehensive, accurate, reliable and timely agricultural data are essential to these efforts. However, Eritrea’s agricultural statistical system remains largely undeveloped. Currently, food crop production statistics are collected through a crop assessment survey conducted by the Ministry of Agriculture (MoA). Data are gathered by interviewing a sample of farmers from each sub-zoba, but the survey method lacks objectivity as it does not include direct measurements of crop area or yield. Additionally, the sampling frame used to select farmers does not adhere strictly to probability sampling principles. This project aimed to support the preparation of Eritrea's first agricultural census, scheduled for 2025. It helped strengthen the national agricultural statistics system by improving logistics, defining the census methodology, and building staff capacity.
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    Technical Assistance to Support the National Agriculture Census 2019 - TCP/FIJ/3703 2022
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    Fiji is a small island state, which is vulnerable to the effect of climate change, natural disasters and consequently, economic shocks As Fiji’s large rural population is highly dependent on agriculture for their livelihoods, it is crucial that the government has detailed information on the composition and structure of the agriculture sector to assist with planning and responding to these events Prior, little and irregular information is collected or disseminated to agriculture sector stakeholders, limiting the capacity to develop evidence based policies and strategies Low resource availability for follow up agriculture surveys, in addition to staff changes, has meant a loss of knowledge of the census methodology and databases, and data for monitoring progress in the agriculture sector and against the SDGs is also lacking or not always reliable As such, the government has committed to an ambitious programme of agricultural development under the Fiji 2020 Agriculture Sector Policy Agenda.

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