This document discusses different modalities for conducting an agricultural census, including the classical, modular, integrated census/survey, and use of registers approaches. It provides an overview of each modality, including descriptions of implementation steps, advantages, and limitations. Specifically, it describes the classical approach as a single one-off operation collecting all census items, the modular approach as having a core module conducted via complete enumeration and supplementary modules via sampling, and the integrated approach as combining censuses and surveys over multiple years. Country examples are also mentioned.
The document discusses different modalities for conducting an agricultural census:
1. The classical approach involves a single complete enumeration of all holdings to collect census data. It provides comprehensive data but has high costs and respondent burden.
2. The modular approach uses a core module of essential items collected via complete enumeration to form sampling frames, and supplementary modules of additional items collected via sampling. This balances data needs with costs.
3. Integrating censuses and surveys conducts a census core module with rotating thematic modules collected through multiple surveys. This provides timelier data but requires coordination.
The document compares the approaches and provides examples of their implementation and advantages and limitations. It emphasizes identifying essential census data, establishing accurate
Use of Technology for field data capture and compilation : Technical Session 16cFAO
This document summarizes the use of technology for data capture and compilation in agricultural censuses. It discusses computer-assisted personal interviewing (CAPI) software, which allows enumerators to record survey responses directly onto tablets or computers instead of paper. CAPI offers advantages like easier survey management, faster data processing, and higher data quality through features like skip patterns and validation. However, CAPI also has disadvantages such as high upfront costs and reliance on connectivity. The document then reviews several popular CAPI platforms and provides examples of countries that have implemented CAPI for agricultural censuses.
The document discusses the use of technology for field data capture and compilation in agricultural censuses. It provides an overview of computer assisted personal interview (CAPI) software, describing advantages like easier survey management and higher quality data, as well as disadvantages like high upfront costs and reliance on connectivity. Examples are given of countries that have used CAPI and GPS technologies successfully in recent agricultural censuses. Specific CAPI products like Survey Solutions are profiled, highlighting features like integrated survey design and management tools. Country experiences using these technologies, such as Tanzania and Mozambique, are also summarized.
Methodological considerations for the census design : Technical Session 3FAO
The document discusses four main modalities for conducting an agricultural census: the classical approach, modular approach, integrated census/survey approach, and using administrative registers. It provides descriptions of each approach, including key implementation steps, advantages, and limitations. Specifically, it outlines the classical approach as a single one-off operation collecting all information, the modular approach separating core and supplementary modules, and the integrated approach combining censuses and surveys over multiple years.
Methodological considerations for the census designFAO
The document discusses different modalities for conducting an agricultural census:
1. The classical approach involves a single, one-off complete enumeration of all holdings and items. It provides comprehensive data but has high costs and respondent burden.
2. The modular approach divides the census into a core module covering essential items via complete enumeration, and supplementary modules covering additional items via sampling. This balances costs and data needs.
3. The integrated census/survey modality combines a core census with rotating thematic surveys over 10 years. This provides more frequent, focused data at lower cost than a full census each cycle.
4. Using administrative registers as a data source can reduce costs if register quality is sufficient. However,
Overview of the New Features of World Programme for the Census of Agriculture...FAO
The document provides an overview of the new features of the World Programme for the Census of Agriculture (WCA) 2020. Some key points include:
1. The WCA 2020 introduces new modalities for census taking including a modular approach and greater use of information technology. It also distinguishes between essential, frame, and additional census items.
2. The census of agriculture is important for agricultural planning, research, and monitoring global initiatives like the Sustainable Development Goals. It provides critical data on issues like food security, the environment, and gender.
3. Methodological considerations include different census modalities, use of frames and registers, and integrating census and survey data collection. Relationship to other censuses
The document discusses different modalities for conducting an agricultural census:
1. The classical approach involves a single complete enumeration of all holdings to collect census data. It provides comprehensive data but has high costs and respondent burden.
2. The modular approach uses a core module of essential items collected via complete enumeration to form sampling frames, and supplementary modules of additional items collected via sampling. This balances data needs with costs.
3. Integrating censuses and surveys conducts a census core module with rotating thematic modules collected through multiple surveys. This provides timelier data but requires coordination.
The document compares the approaches and provides examples of their implementation and advantages and limitations. It emphasizes identifying essential census data, establishing accurate
Use of Technology for field data capture and compilation : Technical Session 16cFAO
This document summarizes the use of technology for data capture and compilation in agricultural censuses. It discusses computer-assisted personal interviewing (CAPI) software, which allows enumerators to record survey responses directly onto tablets or computers instead of paper. CAPI offers advantages like easier survey management, faster data processing, and higher data quality through features like skip patterns and validation. However, CAPI also has disadvantages such as high upfront costs and reliance on connectivity. The document then reviews several popular CAPI platforms and provides examples of countries that have implemented CAPI for agricultural censuses.
The document discusses the use of technology for field data capture and compilation in agricultural censuses. It provides an overview of computer assisted personal interview (CAPI) software, describing advantages like easier survey management and higher quality data, as well as disadvantages like high upfront costs and reliance on connectivity. Examples are given of countries that have used CAPI and GPS technologies successfully in recent agricultural censuses. Specific CAPI products like Survey Solutions are profiled, highlighting features like integrated survey design and management tools. Country experiences using these technologies, such as Tanzania and Mozambique, are also summarized.
Methodological considerations for the census design : Technical Session 3FAO
The document discusses four main modalities for conducting an agricultural census: the classical approach, modular approach, integrated census/survey approach, and using administrative registers. It provides descriptions of each approach, including key implementation steps, advantages, and limitations. Specifically, it outlines the classical approach as a single one-off operation collecting all information, the modular approach separating core and supplementary modules, and the integrated approach combining censuses and surveys over multiple years.
Methodological considerations for the census designFAO
The document discusses different modalities for conducting an agricultural census:
1. The classical approach involves a single, one-off complete enumeration of all holdings and items. It provides comprehensive data but has high costs and respondent burden.
2. The modular approach divides the census into a core module covering essential items via complete enumeration, and supplementary modules covering additional items via sampling. This balances costs and data needs.
3. The integrated census/survey modality combines a core census with rotating thematic surveys over 10 years. This provides more frequent, focused data at lower cost than a full census each cycle.
4. Using administrative registers as a data source can reduce costs if register quality is sufficient. However,
Overview of the New Features of World Programme for the Census of Agriculture...FAO
The document provides an overview of the new features of the World Programme for the Census of Agriculture (WCA) 2020. Some key points include:
1. The WCA 2020 introduces new modalities for census taking including a modular approach and greater use of information technology. It also distinguishes between essential, frame, and additional census items.
2. The census of agriculture is important for agricultural planning, research, and monitoring global initiatives like the Sustainable Development Goals. It provides critical data on issues like food security, the environment, and gender.
3. Methodological considerations include different census modalities, use of frames and registers, and integrating census and survey data collection. Relationship to other censuses
This document discusses communication and publicity strategies for agricultural censuses. It emphasizes that effective communication is essential to ensure public acceptance and cooperation. A communication strategy should identify target audiences, develop clear messages about the census purpose and confidentiality of data, and select appropriate communication channels. The strategy is implemented through a variety of tools like media events, advertising, training staff, and community meetings to educate respondents and promote participation. Monitoring coverage and feedback allows improving the strategy during census implementation.
The document discusses legal and institutional frameworks for agricultural censuses. It notes that census legislation exists within a country's overall legal framework and commonly consists of primary and secondary legislation. The legislation should designate a census executing authority, such as a national statistics office or ministry of agriculture. Coordinating boards like a technical steering committee and national high-level steering committee can help ensure support across stakeholders. Country examples from Uganda show its census was conducted under the authority of its national statistics act, with collaborating ministries and coordinating boards established.
Main steps in developing and implementing the census of agricultureFAO
1. The document outlines the main steps in developing and implementing an agricultural census, as presented in a technical session.
2. It discusses 18 key steps, including identifying the census's role in the statistical system, determining objectives and strategy, developing methodology, creating a work plan and budget, establishing legislation, setting up a census office and staff, implementing publicity campaigns, ensuring data quality, preparing frames and maps, developing a tabulation plan, designing questionnaires, organizing fieldwork and training, conducting the census enumeration and post-enumeration survey, and processing, analyzing, and disseminating the data.
3. The 18 steps cover all phases of census preparation, fieldwork, and post-fieldwork processing and analysis.
Linking Population and Housing Censuses with Agricultural CensusesFAO
Linking population and housing censuses with agricultural censuses can provide benefits by reducing costs, improving frames, and increasing quality. The document discusses ways countries have coordinated these censuses, including using common concepts/classifications, sharing materials, and collecting agricultural data in the population census either as basic or frame items through a module. Country examples show collecting core agricultural data in the population census to provide the frame for a subsequent standalone agricultural census.
This document discusses tabulation, dissemination, and archiving of data from the 2020 World Census of Agriculture. It provides guidance on developing a tabulation plan, producing standard and customized tables, and disseminating results through reports, databases, and ensuring access to microdata while maintaining confidentiality. Archiving involves preserving all census documentation, data, and tools to ensure long-term access.
Agricultural Integrated Survey (AGRIS): Rationale and MethodologyFAO
The document summarizes the Agricultural Integrated Survey (AGRIS) which is a proposed 10-year integrated farm-level survey that would generate representative estimates at the national, provincial and district levels. It aims to address gaps in agricultural and rural statistical data collection, while being affordable and sustainable for countries to implement. The methodology involves core annual modules on crop and livestock production integrated with socioeconomic data, and rotating thematic modules collected every 2-5 years on topics like the economy, labor, assets and the environment. An AGRIS toolkit provides resources for survey design, questionnaires, sampling, data collection, processing, analysis, dissemination and archiving.
Agricultural Integrated Survey (AGRIS): Rationale and MethodologyFAO
The document summarizes the Agricultural Integrated Survey (AGRIS) methodology proposed by FAO to address gaps in agricultural data needed for monitoring SDG indicators. AGRIS is a 10-year modular survey that generates representative estimates at the national, province and district levels. It collects core annual data on crop and livestock production as well as rotating thematic modules on topics like the economy, labor and the environment. The methodology outlines statistical units, sample design, data collection methods, topics covered in core and rotating modules, and an AGRIS toolkit with resources for implementation.
Operational Issues : Technical Session 19bUse of technology for field data ca...FAO
This document discusses the use of technology for field data capture and compilation in agricultural censuses. It provides an overview of Computer Assisted Personal Interview (CAPI) software, describing its advantages like easier survey management and higher quality data, as well as disadvantages such as high upfront costs. Examples of CAPI products like Survey Solutions and country experiences using CAPI in Indonesia and Tanzania are presented. A table shows many countries are increasingly using technologies like CAPI, GPS, and online/phone surveys in agricultural censuses.
The document summarizes a technical session on collecting community-level data for agricultural censuses. It discusses reasons for collecting such data, including for planning rural development programs. Methodological considerations for defining community units and collecting data are provided. Recommendations include linking to other data sources to avoid duplication and limiting items to key administrative information. Examples from Malawi's and Gambia's agricultural censuses show collecting data on infrastructure, markets, transportation, land use and projects at the village level. The conclusions emphasize the additional but limited cost of community surveys and their usefulness for development partners and food security policies.
Overview of the new features of the WCA 2020. Importance of the WCA in the li...FAO
The document provides an overview of the new features of the World Programme for the Census of Agriculture (WCA) 2020. Some of the main changes include eliminating concepts, redefining items to align with international standards, and introducing three categories of census items: essential, frame, and additional. The census aims to provide data on the structure of agriculture to support areas like sustainable development, food security, and gender equality. It is part of an integrated agricultural statistical system and can provide sampling frames for surveys. Methodological considerations include different census modalities and the relationship to other censuses.
National practices on data collection methods for statistics on structural as...ExternalEvents
The document summarizes Zimbabwe's approach to collecting agricultural statistics. It discusses Zimbabwe's agriculture sector and the roles of the National Statistics Agency (Zimstat) and Ministry of Agriculture in conducting annual sample surveys. Zimstat's agriculture survey consists of 9 modules administered throughout the year. Data is collected through interviews with a sample of over 28,000 units across sectors, and is used for policymaking, forecasting, and GDP analysis. Key challenges include a lack of funds for an agriculture census and increased targeting difficulties from land subdivision.
Legal and Institutional Framework: Technical Session 16aFAO
The document discusses legal and institutional frameworks for agricultural censuses. It covers census legislation within a country's national legal framework, including primary and secondary legislation. The main features of census legislation that are outlined include scope and coverage, responsibilities, frequency, administrative provisions, confidentiality, and sanctions. Ensuring political support is also discussed. The document describes common structures for census executing authorities and coordinating boards at national, provincial, and local levels to plan and implement agricultural censuses.
Main steps in developing and implementing the census of agricultureFAO
The document outlines the main steps in developing and implementing an agricultural census. It discusses 18 key steps: 1) identifying the role of the census, 2) determining objectives and strategy, 3) defining methodology, 4) developing a work plan and budget, 5) preparing census legislation, 6) creating a census office and hiring staff, 7) implementing a publicity campaign, 8) designing a data quality framework, 9) preparing census frames and maps, 10) developing a tabulation plan, 11) designing and testing questionnaires, 12) designing a data processing system, 13) organizing field work and training staff, 14) conducting the census enumeration, 15) performing a post-enumeration survey, 16) processing, analyzing and archiving
Linking Population and Housing Censuses with Agricultural CensusesFAO
This document discusses linking population and housing censuses with agricultural censuses. Coordinating the two censuses can reduce costs, improve frames for agricultural censuses, and increase overall quality. Key advantages include cost reduction through shared infrastructure, a reliable frame for agricultural censuses obtained from population census listings, and improved sampling designs for agricultural censuses using population census data. Countries can collect basic agricultural data in population censuses to identify agricultural households and obtain frames. More extensive modules can also be included.
Agenda Item 1.2: THE WORLD PROGRAMME FOR THE CENSUS OF AGRICULTURE 2020FAO
The document summarizes the World Programme for the Census of Agriculture 2020. Some key points:
- The WCA 2020 provides guidelines for national agriculture censuses between 2016-2025, emphasizing new modalities, essential census items, and use of information technology.
- It distinguishes three types of census items: essential, frame, and additional. 23 items are considered essential that all countries should collect.
- The census aims to provide data for agricultural planning, research/business decisions, monitoring the environment and food security, and gender issues in agriculture. It also underpins national statistical systems.
- The document reviews methodological approaches, items organized by theme, and methods of enumeration/technology use
This document discusses communication and publicity strategies for agricultural censuses. It emphasizes that effective communication is essential to ensure public acceptance and cooperation. A communication strategy should identify target audiences, develop clear messages about the census purpose and confidentiality of data, and select appropriate communication channels. The strategy is implemented through a variety of tools like media events, advertising, training staff, and community meetings to educate respondents and promote participation. Monitoring coverage and feedback allows improving the strategy during census implementation.
The document discusses legal and institutional frameworks for agricultural censuses. It notes that census legislation exists within a country's overall legal framework and commonly consists of primary and secondary legislation. The legislation should designate a census executing authority, such as a national statistics office or ministry of agriculture. Coordinating boards like a technical steering committee and national high-level steering committee can help ensure support across stakeholders. Country examples from Uganda show its census was conducted under the authority of its national statistics act, with collaborating ministries and coordinating boards established.
Main steps in developing and implementing the census of agricultureFAO
1. The document outlines the main steps in developing and implementing an agricultural census, as presented in a technical session.
2. It discusses 18 key steps, including identifying the census's role in the statistical system, determining objectives and strategy, developing methodology, creating a work plan and budget, establishing legislation, setting up a census office and staff, implementing publicity campaigns, ensuring data quality, preparing frames and maps, developing a tabulation plan, designing questionnaires, organizing fieldwork and training, conducting the census enumeration and post-enumeration survey, and processing, analyzing, and disseminating the data.
3. The 18 steps cover all phases of census preparation, fieldwork, and post-fieldwork processing and analysis.
Linking Population and Housing Censuses with Agricultural CensusesFAO
Linking population and housing censuses with agricultural censuses can provide benefits by reducing costs, improving frames, and increasing quality. The document discusses ways countries have coordinated these censuses, including using common concepts/classifications, sharing materials, and collecting agricultural data in the population census either as basic or frame items through a module. Country examples show collecting core agricultural data in the population census to provide the frame for a subsequent standalone agricultural census.
This document discusses tabulation, dissemination, and archiving of data from the 2020 World Census of Agriculture. It provides guidance on developing a tabulation plan, producing standard and customized tables, and disseminating results through reports, databases, and ensuring access to microdata while maintaining confidentiality. Archiving involves preserving all census documentation, data, and tools to ensure long-term access.
Agricultural Integrated Survey (AGRIS): Rationale and MethodologyFAO
The document summarizes the Agricultural Integrated Survey (AGRIS) which is a proposed 10-year integrated farm-level survey that would generate representative estimates at the national, provincial and district levels. It aims to address gaps in agricultural and rural statistical data collection, while being affordable and sustainable for countries to implement. The methodology involves core annual modules on crop and livestock production integrated with socioeconomic data, and rotating thematic modules collected every 2-5 years on topics like the economy, labor, assets and the environment. An AGRIS toolkit provides resources for survey design, questionnaires, sampling, data collection, processing, analysis, dissemination and archiving.
Agricultural Integrated Survey (AGRIS): Rationale and MethodologyFAO
The document summarizes the Agricultural Integrated Survey (AGRIS) methodology proposed by FAO to address gaps in agricultural data needed for monitoring SDG indicators. AGRIS is a 10-year modular survey that generates representative estimates at the national, province and district levels. It collects core annual data on crop and livestock production as well as rotating thematic modules on topics like the economy, labor and the environment. The methodology outlines statistical units, sample design, data collection methods, topics covered in core and rotating modules, and an AGRIS toolkit with resources for implementation.
Operational Issues : Technical Session 19bUse of technology for field data ca...FAO
This document discusses the use of technology for field data capture and compilation in agricultural censuses. It provides an overview of Computer Assisted Personal Interview (CAPI) software, describing its advantages like easier survey management and higher quality data, as well as disadvantages such as high upfront costs. Examples of CAPI products like Survey Solutions and country experiences using CAPI in Indonesia and Tanzania are presented. A table shows many countries are increasingly using technologies like CAPI, GPS, and online/phone surveys in agricultural censuses.
The document summarizes a technical session on collecting community-level data for agricultural censuses. It discusses reasons for collecting such data, including for planning rural development programs. Methodological considerations for defining community units and collecting data are provided. Recommendations include linking to other data sources to avoid duplication and limiting items to key administrative information. Examples from Malawi's and Gambia's agricultural censuses show collecting data on infrastructure, markets, transportation, land use and projects at the village level. The conclusions emphasize the additional but limited cost of community surveys and their usefulness for development partners and food security policies.
Overview of the new features of the WCA 2020. Importance of the WCA in the li...FAO
The document provides an overview of the new features of the World Programme for the Census of Agriculture (WCA) 2020. Some of the main changes include eliminating concepts, redefining items to align with international standards, and introducing three categories of census items: essential, frame, and additional. The census aims to provide data on the structure of agriculture to support areas like sustainable development, food security, and gender equality. It is part of an integrated agricultural statistical system and can provide sampling frames for surveys. Methodological considerations include different census modalities and the relationship to other censuses.
National practices on data collection methods for statistics on structural as...ExternalEvents
The document summarizes Zimbabwe's approach to collecting agricultural statistics. It discusses Zimbabwe's agriculture sector and the roles of the National Statistics Agency (Zimstat) and Ministry of Agriculture in conducting annual sample surveys. Zimstat's agriculture survey consists of 9 modules administered throughout the year. Data is collected through interviews with a sample of over 28,000 units across sectors, and is used for policymaking, forecasting, and GDP analysis. Key challenges include a lack of funds for an agriculture census and increased targeting difficulties from land subdivision.
Legal and Institutional Framework: Technical Session 16aFAO
The document discusses legal and institutional frameworks for agricultural censuses. It covers census legislation within a country's national legal framework, including primary and secondary legislation. The main features of census legislation that are outlined include scope and coverage, responsibilities, frequency, administrative provisions, confidentiality, and sanctions. Ensuring political support is also discussed. The document describes common structures for census executing authorities and coordinating boards at national, provincial, and local levels to plan and implement agricultural censuses.
Main steps in developing and implementing the census of agricultureFAO
The document outlines the main steps in developing and implementing an agricultural census. It discusses 18 key steps: 1) identifying the role of the census, 2) determining objectives and strategy, 3) defining methodology, 4) developing a work plan and budget, 5) preparing census legislation, 6) creating a census office and hiring staff, 7) implementing a publicity campaign, 8) designing a data quality framework, 9) preparing census frames and maps, 10) developing a tabulation plan, 11) designing and testing questionnaires, 12) designing a data processing system, 13) organizing field work and training staff, 14) conducting the census enumeration, 15) performing a post-enumeration survey, 16) processing, analyzing and archiving
Linking Population and Housing Censuses with Agricultural CensusesFAO
This document discusses linking population and housing censuses with agricultural censuses. Coordinating the two censuses can reduce costs, improve frames for agricultural censuses, and increase overall quality. Key advantages include cost reduction through shared infrastructure, a reliable frame for agricultural censuses obtained from population census listings, and improved sampling designs for agricultural censuses using population census data. Countries can collect basic agricultural data in population censuses to identify agricultural households and obtain frames. More extensive modules can also be included.
Agenda Item 1.2: THE WORLD PROGRAMME FOR THE CENSUS OF AGRICULTURE 2020FAO
The document summarizes the World Programme for the Census of Agriculture 2020. Some key points:
- The WCA 2020 provides guidelines for national agriculture censuses between 2016-2025, emphasizing new modalities, essential census items, and use of information technology.
- It distinguishes three types of census items: essential, frame, and additional. 23 items are considered essential that all countries should collect.
- The census aims to provide data for agricultural planning, research/business decisions, monitoring the environment and food security, and gender issues in agriculture. It also underpins national statistical systems.
- The document reviews methodological approaches, items organized by theme, and methods of enumeration/technology use
Census Tabulation, Archiving and Dissemination : Technical Session 15FAO
The document discusses best practices for tabulating, disseminating, and archiving data from an agricultural census. It provides guidance on developing a tabulation plan, presenting standard statistical tables, using appropriate classification variables and tabulation classes, and producing territorial and cross-tabulated data. The document also covers disseminating preliminary and final census results through various reports and data products while ensuring data quality and metadata documentation.
Agricultural Integrated Survey (AGRIS): Rationale and MethodologyFAO
The document summarizes the Agricultural Integrated Survey (AGRIS) methodology proposed by FAO. AGRIS is a 10-year integrated farm-level survey that aims to generate representative estimates on agriculture to inform policy and support SDG monitoring. It uses a modular approach with a core annual module on production supplemented by rotating thematic modules covering topics like the economy, labor, and the environment. The methodology outlines the statistical units, sample design, data collection approach, and topics to be covered in the core and rotating modules. It also describes the AGRIS toolkit available to support countries in customizing and implementing the survey.
The document discusses strategies for tabulating, disseminating, and archiving data from an agricultural census. It emphasizes developing a tabulation plan before designing census questionnaires to ensure all relevant data is collected. Standard statistical tables and cross-tabulations presenting census data by classification variables like administrative unit and holder characteristics are recommended. The document also stresses the importance of disseminating census results in a timely manner through reports, databases, and other products to meet user needs and ensure data quality.
The document describes Agricultural Integrated Surveys (AGRIS), a new survey program designed by FAO to provide more timely and relevant agricultural data. AGRIS uses a modular approach with a core annual survey and rotating thematic modules to generate data for indicators like SDGs. It provides a cost-effective way to build sustainable rural information systems. Fifteen countries will implement AGRIS with technical and financial support from FAO and partners like the World Bank and donor agencies.
This document discusses tabulation, dissemination, and archiving of agricultural census data. It provides guidance on developing a tabulation plan with standard tables before designing census questionnaires. Tabulation should allow for international comparability and coherence with other data sources. Dissemination is key to meeting user needs and includes reports, databases, maps and ensuring metadata and quality of disseminated data. Archiving ensures long-term preservation and safe access to census microdata.
Data collection for agriculture tasks.pdfABHILASHCN1
The document discusses methods for collecting data during agricultural censuses. It describes face-to-face data collection as the most widely used method, particularly in developing countries, as enumerators can be well-trained and clarify questions for respondents. It also discusses remote collection methods like mail surveys and telephone interviews. New technologies like GPS, aerial imagery, and mobile devices can help optimize fieldwork, identify farm boundaries, and monitor census progress.
Linking Population and Housing Censuses with Agricultural CensusesFAO
This document discusses linking population and housing censuses with agricultural censuses. Coordinating the two censuses can reduce costs, improve agricultural census frames, and increase overall quality. Key advantages include cost reduction through shared infrastructure, a reliable frame for the agricultural census from population census listings, optimization of agricultural census sampling, and better defining agricultural census coverage. Countries can collect basic agricultural data in the population census to identify agricultural households and measure farm size. More extensive data can be collected through an optional agriculture module. Country experiences show integrated censuses and sharing of household listings and questions between the censuses.
The 2013 National Cambodian Census of Agriculture used a modular approach over a three-year period. It was conducted in two overlapping phases - a core module phase that collected basic data from all households over 9 months, and a supplementary module phase that collected additional data from a sample of households over 4 months. The census methodology involved using administrative reports, updating frames, and distinguishing between core and supplementary modules. Lessons learned included using a range of methodological approaches according to development levels and needs, collecting an integrated "need frame" for censuses and surveys, and emphasizing the use of information technology.
Main steps in developing and implementing the census of agricultureFAO
The document outlines the main steps involved in developing and implementing an agricultural census, including: 1) planning and preparation; 2) methodology development; 3) field work organization and training; 4) data collection, processing, and dissemination. Specifically, it discusses identifying objectives, developing questionnaires and manuals, testing methodology, organizing staff and field work, conducting the enumeration, and processing and analyzing the collected data. The goal is to provide a comprehensive overview of best practices for conducting a successful agricultural census.
Presentation on the Design of a System for Infomration Transfer to Reduce Administrative Burdens in the Agrifood sector. The plan is part of the EU research project MEF4CAP as a case study. Presented at the Igls Forum 2021
Expert workshop on Improving activity data for Tier 2 estimates of livestock emissions: Dealing with data gaps
July 17-18, 2018
Summary and workplan
Lini Wollenberg, Sinead Leahy, Harry Clark
Agenda of the 5th NENA Soil Partnership meetingFAO
The Fifth meeting of the Near East and North African (NENA) Soil Partnership will take place from 1-2 April 2019 in Cairo, Egypt. The objectives of the meeting are to consolidate the NENA Soil Partnership, review the work plan, organize activities to establish National Soil Information Systems, agree to launch a Regional Soil Laboratory for NENA, and strengthen networking. The meeting agenda includes discussions on soil information systems, a soil laboratory network, and implementing the Voluntary Guidelines for Sustainable Soil Management. The performance of the NENA Soil Partnership will also be assessed and future strategies developed.
This document summarizes the proceedings of the first meeting of the Global Soil Laboratory Network (GLOSOLAN). GLOSOLAN was established to harmonize soil analysis methods and strengthen the performance of laboratories through standardized protocols. The meeting discussed the role of National Reference Laboratories in promoting harmonization, and how GLOSOLAN is structured with regional networks feeding into the global network. Progress made in 2018 included registering over 200 laboratories, assessing capacities and needs, and establishing regional networks. The work plan for 2019 includes further developing regional networks, standard methods, a best practice manual, and the first global proficiency testing. The document concludes by outlining next steps to launch the regional network for North Africa and the Near East.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
1. Regional Roundtable on
World Programme for the Census of Agriculture 2020
Port of Spain, Trinidad and Tobago
22-26 May 2017
Jairo Castano
Senior Statistician
Leader, Agricultural Census and Survey Team
FAO Statistics Division
Methodological Considerations
Technical Session 4
1
2. 2
Contents
• Background
• Overview of census modalities:
description, implementation steps,
advantages and limitations:
1. Classical approach
2. Modular approach
3. Integrated census/survey modality
4. Use of registers as a source of census
data
• Country examples
3. Background
The WCA 2020 broadened the approaches
introduced in WCA 2010, acknowledging that the
census of agriculture can be conducted in different
ways, using four main modalities:
Classical approach
Modular approach
Integrated census and survey modality
Use of registers as a source of census data
Main aim is to help countries to implement a census
in the most efficient way, taking into account
countries’ particular conditions. 3
4. Overview of census modalities
i) The classical approach: a census conducted in a single one-off
operation (usually by complete enumeration) comprising the
universe of agricultural holdings.
ii) Modular approach: comprises: a) a core module undertaken by
complete enumeration including all relevant frame items and
eventually other items; and b) supplementary modules conducted
using sample enumeration.
iii) The integrated census and survey modality: integrates a
multi-year programme of censuses and surveys. One option is
AGRIS, a modular survey programme which has to be
articulated with the agricultural census programme and
conducted on an annual basis between two censuses.
iv) Use of registers as a source of census data: registers and
other administrative sources are used as a source of census data in
combination with field data collection. 4
5. Comparison of census modalities
Classical Modular Integrated
census/survey
Use of registers
Enumeration
phases
One-off field
operation
Multiple phases:
a) core module
b) supplementary
module(s)
Multiple phases:
a) census core module
b) rotating thematic
modules
One or more field
operations and use
of admin sources
Coverage of
items
All census
items collected
in one-off
operation
Core module
includes items
required at the
lowest geo/admin
level, and those to
establish frames for
supplementary
module(s)
Census core module
includes items
required at the lowest
geographic/admin
level, and those to
establish frames for
rotating thematic
module(s)
Census items are
collected through
field operation and
use of administrative
sources.
Enumeration
method
Complete
enumeration
exclusively or
combined with
sample
enumeration
Complete
enumeration for
core module and
sampling for
supplementary
modules(s)
Complete enumeration
for census core module
and sampling
for rotating thematic
modules
Complete
enumeration
exclusively or
combined with
sample enumeration
5
6. Alternative census modalities
• The classical approach is the most extensively used census
modality. However, more and more countries would use
alternative census modalities in the near future.
• There are important reasons for using other census
modalities:
i. budget limitation for census;
ii. need to produce more frequent and timely agricultural
statistics;
iii. fast growing digital and mobile technology;
iv. increasing availability and access to data from
administrative sources and technical capacities to
handle such data;
v. reluctance of some population groups to participate in
the census and need to reduce respondent burden. 6
7. Some common issues for any
census modality
Identify data content of the census:
The minimum requirement for a census, is to include
all essential items, in order to enable
national/international comparison and frame items for
census modules or/and follow up surveys.
The final list of census items should be established in
consultation with main stakeholders depending on
country’s requirements, availability of reliable
administrative and other data sources, financial and
other resources.
In countries with well-developed registers, the use of
administrative data sources (ADS) to cover census
data items should be considered. 7
8. Some common issues for any census
modality (cont’d.)
The frame for the census must be carefully
established to ensure that all holdings are
covered with no omissions or duplications.
Use of sample enumeration
efficiency considerations (precision versus costs);
desired level of aggregation for census data;
use of the census as a frame for ongoing sample
surveys;
data content of the census;
capacity to deal with sampling methods and
subsequent statistical analysis based on samples.
8
9. Some common issues for any
census modality (cont’d.)
Use of thresholds
◦ In many countries, a minimum size limit
is adopted for holdings included in the
census.
◦ The rationale for this could be:
in the country there is a large number of
very small holdings which make a
marginal contribution to total agricultural
production; and
their inclusion in the census greatly
increases the workload and census budget.
9
10. 1. The classical approach
• It is conducted as a single one-off operation in
which all the census information is recorded. It
also includes the short-long questionnaire
concept.
• All items collected at the lowest geo/admin level.
• Can be conducted by complete enumeration,
sample enumeration, or by a combination of both.
• It is appropriate, for instance, when countries have
an integrated census/survey programme or wishing
to collect census items at the lowest geo/admin
level. 10
11. 1. The classical approach: types of
questionnaires
• Single questionnaire: administered to all agricultural holdings covered by
the census without regard of their type. It is easy to apply in the field.
• Short-long questionnaire: The short questionnaire is administered to all
holdings on a complete enumeration basis (to collect basic info), while
the long questionnaire is administered only to:
holdings identified according to certain criteria (to collect more detailed
info), such as being above an established threshold or belonging to a
particular segment of the population;
a sample of holdings.
• Other types of questionnaires - specific census questionnaires:
to fit different segments of the target population (such as household and
non-household based holdings); or
for different provinces when these differ considerably in cropping and
livestock systems, and in agricultural practices. 11
12. 1. Classical approach: advantages
• Snapshot of the entire target population at a specified period.
Comprehensive data sets at the lowest admin/geo level.
• Data can be produced at lowest admin/geo levels with no
sampling error. Tabulations can be done in line with high user’s
requirements, including data for small administrative units and
information on rare events, such as emerging crops, rare crops
and types of livestock.*
• Complete enumeration is much less demanding in respect of the
characteristics contained in the frame than the sample-based
census.
• A good basis for building up a statistical farm register and an
exhaustive sampling frame for subsequent regular agricultural
surveys.*
* When census is conducted by complete enumeration
12
13. 1. Classical approach: limitations*
• Cost and administrative complexity.
• It implies a high burden on respondents.
• Risk to overburden the census questionnaire because
of the high pressure from some policy makers or other
stakeholders to include detailed items to collect data
at the lowest administrative level.
• Logistics: very large number of enumerators and
supervisors required.
• The amount of data to be processed is larger.
* Mainly when census is conducted by complete enumeration 13
14. 2. Modular census
• Has a clearly distinguishable core module (on a
complete enumeration basis) and one or more
supplementary modules (on a sample basis).
• An essential condition: data from the core module
used as frame for the supplementary module(s). The
census using the short-long questionnaire in one
operation is not considered as modular census (no
frame use).
• A ‘module’ is defined as a group of data items to be
collected on a specific target population (e.g. holdings
with livestock).
• All essential items should be covered by the core and
supplementary module(s). 14
15. 2. Modular census (cont’d.)
• Core module (CM) must include the items required at the
lowest geographic or administrative levels, and/or needed
to establish sampling frames for the supplementary
module(s).
• CM should include all frame items. It should also cover
rare events (unusual crops or livestock), which would not
be possible to estimate from SM(s) because of high
sampling errors.
• SM(s) use the frame generated by the core module to target
specific populations and should include the rest of the
agreed census items that are not included in the core
module.
15
16. 2. Modular census modality: ways and
steps for implementation
Two ways of implementing the modular approach:
i. implementing core and supplementary modules
separately (common way)
ii. implementing the core module and the supplementary
module(s) as part of a single data collection operation
(difficult in practice).
Sources of frame data for supplementary modules:
a) The census core module;
b) An agricultural module/section of the population
census;
c) Administrative registers.
16
17. 2. Modular census: advantages
• The combination of core’s and SM’s items allows the
modular census to produce a wider and country-specific
range of data, for which small area estimates are not so
important.
• More effective use of available budget to collect country
relevant information.
• Allows a focused and more detailed training of field
personnel.
• Countries with a not well established system of
agricultural surveys and limited budget may find the
modular approach as a logical first step towards the
creation of a system of integrated agricultural censuses
and surveys.
17
18. 2. Modular census: limitations
• Risk of having a CM with too many items (due to pressure from
stakeholders).
• The availability of well trained professional staff in sampling could be a
challenge.
• There are limitations in terms of cross-tabulation between variables in
the core and in the supplementary modules (SMs) or between variables
in different SMs not conducted jointly.
• If the time lag between the implementation of the CM and SMs is too
long, the benefit of having a good frame from the CM disappears. A
frame update would be needed adding to the cost.
• If SMs are undertaken at the same time as the CM there exists the risk of
loss of data quality if not properly organized.
• It could be difficult to mobilize additional funds for SMs.
• In the absence of good planning, the conducting of the CM and
publication of results can jeopardize a better preparation of SMs. 18
19. 3. Integrated Census/survey modality
• This new modality features a census core module (to be
conducted on a complete enumeration basis) and a number
of several rotating thematic modules (to be conducted
annually or periodically on sample basis over a 10-year
period).
• An example of a survey programme with rotating thematic
modules is the new Agricultural Integrated Survey
programme (AGRIS).
• All essential items should be covered by the census core
and rotating thematic modules.
• The census core module should mainly provide frame data
needed to implement rotating thematic modules.
19
20. 3. What is AGRIS?
• The AGRIS is a modular survey program which is to be
articulated with the agricultural census programme and
conducted on an annual basis between two censuses.
• It consists of one annual production module (crop and
livestock production) and four rotating modules:
‘economy’, ‘labour force’, ‘machinery and equipment’,
and ‘production methods and environment’. Additional
modules can be added as needed.
• In the integrated census and survey modality, AGRIS
annual-production and rotating modules are
synchronized with the agricultural census core module
and operate over a 10-year cycle. 20
21. 3. Integrated census/survey:
recommended modules flow
Years 0 1 2 3 4 5 6 7 8 9 10
Agricultural Census core module (•) and inter-
census survey (o)
•
o •
AGRIS
Production
Module
Holding roster (ID & socio-demo) • • • • • • • • • •
Crop/livestock production • • • • • • • • • •
Key thematic issues • • • • • • • • • •
Rot. Module 1 Economy • • • •
Rot. Module 2 Labour • •
Rot. Module 3
Machinary, Equiment, Assets and
Decisions
•
Rot. Module 4 Production Methods and Environment • • 21
22. 3. Integrated census/survey modality:
advantages
• Effective use of available budget to collect
country relevant information on an annual basis.
• More detailed information available on topics of
interest.
• Focused training of field staff.
• Wider set of census items.
• Allows the establishment of a system of integrated
agricultural censuses and surveys.
22
23. 3. Integrated census/survey modality:
limitations
• The risk of expanding too much the census core
module resulting in high cost which will reduce the
relative benefits of this modality.
• Conducting the census core module and AGRIS annual
production at the same time (when relevant) requires
good survey planning and sampling capacity.
• The limitations in terms of cross-tabulation between
variables in the production and in the rotating thematic
modules or between variables in different rotating
thematic modules not conducted jointly.
• Difference in the reference period for different census
items collected in the census core and the items in the
rotating thematic modules. 23
24. 4. Use of registers as a source of
census data
• A meaningful part of the census items for the entire
population of the CA (or for part of it) comes from
existing admin sources created for non-statistical purposes.
• The data could come from one or several administrative
sources. Usually these are used in combination with field
data collection.
• Thus the definition of the population of interest and the
data collection protocols commonly is out of the control of
the census agency.
• As the objects already exist in the data source, a selection
need to be made of objects (holders or holdings) and
variables that are relevant to the census. 24
25. 4. Use of registers:Quality considerations
Some information in administrative sources could be of low importance for
administrative purposes which may result in lower statistical quality.
The purpose and method used to collect data should also be taken into account
to detect possible systematic errors or systematic bias in the register.
The following quality aspects need to be carefully considered:
Relevance (content) of the administrative data sources.
Accuracy: an admin source is of good quality if a large proportion of the variables
required for the census exists in the register and data are reliable.
Data coverage: one important accuracy category: under-coverage or over-coverage of
units, and misclassification of items.
Unreported events: data related to the reference period are not available in the source
referring to an event from which parameters are to be derived: e.g. births, deaths or
loss, sales, etc. of livestock.
The information from administrative sources has to be coherent and
comparable with data from other sources and over time.
The timeliness dimension (difference between the reference period and the
availability of the results) when using administrative data source.
Accessibility in terms of physical access to the information in the admin
source. 25
26. 4. Use of registers: Ways of using
1. The starting point (like in all census modalities) is to define the data content of
the census in terms of data items to be covered.
2. Next step is to decide on the way to use the admin source. Possible ways or
approaches are:
Split data approach: admin sources are used to provide some of the
variables for all of the holdings.
Split population approach: Data from admin sources are used for some
holdings where these data are of sufficient quality, and other statistical
sources are used for the remainder of the holdings.
Combining the two approaches: administrative sources replace the field
data collection for some of the variables for part of the holdings.
Pre-filling answers in the questionnaires which are to be checked by
respondents during the census.
Totally replacing the census data collection, on all census characteristics
and for all units in the census with data coming from one or more admin
sources (no common).
26
27. 4. Use of registers: Implementation
1. Assess the usability of the source/register and quality (see
before);
2. Assess legal basis (to access and use); consultations with
owners (concepts, definitions, classifications used, reference
period, coverage); public support (to statistical use).
3. Design a government-wide project to outline responsibilities
and the necessary work:
Make an inventory of sources, usability/quality.
Develop the content for the census.
Decide items to be produced from what kind of data
sources.
Determine steps to link datasets.
Develop communication strategy for the use of registers.
Plan the budget for the particular preparatory work related
to the use of registers for the AC.
27
28. 4. Use of registers: Advantages
• Reduction of cost of census data production.
• Reduction of the burden on respondents.
• By combining the data collected in the field with the data from
administrative sources, new derived variables can be created.
• It allows compilation and publication more frequently and faster.
• Non-response rate can be either significantly reduced or
eliminated (when data on the entire target census population are
included in the administrative sources).
• It could significantly improve the quality of the source and leads
to a substantial harmonization of certain information between
different institutions.
• As a result of more efficient and faster operation the public
perception of statistics may become more favourable.
28
29. 4. Use of registers: limitations
• Linkage of datasets are difficult/impossible if legal background is inadequate.
• It could be very difficult to establish a good cooperation with register owners.
• The cost for the access to the admin data could be too high.
• When there is different population coverage, admin sources can be used for
pre-filling the questionnaires only on common population while other units
need to be enumerated.
• Incoherence of concepts, definitions, classification and reference periods could
hamper the use of admin sources.
• Problems related to linking data from various data sources.
• Problems on quality or stability may arise due to political changes.
• Timeliness and punctuality.
• If an admin source is abolished, it is difficult to provide comparable statistical
data series.
• Substantive or technical changes in the admin sources may not be detected
immediately.
• Comparability over time is strongly influenced by the change in the level of
coverage in the different years and can give misleading results. 29
30. Country examples
All households in the country were visited and all households engaged
in agricultural and/or fishing activities enumerated. A screening form
was applied which comprised 8 screening questions (two questions for
identification of households engaged in fishing).
An Agricultural Censal Questionnaire (Form CAF A) was then
applied to all agricultural holdings while a Fishing Censal
Questionnaire (CAF B) was applied to households engaged in fishing
during the same visit.
The twelve Administrative Districts of the country were subdivided
into 421 enumeration districts (ED). Each ED contained an average of
110 households. 186 enumerators were charged with the enumeration
of one or more EDs each with the supervision of 36 supervisors.
2007 St Lucia Census of Agriculture: Classical
approach, complete enumeration
31. Country examples (cont’d.)
The frame for the AC 2010 was the administrative farm register
(AFR) of the Min. of Economic Affairs, Agriculture and
Innovation. Farmers have to register by law. The AFR contains
names, addresses and other characteristics of holders or
holdings and a unique registration number.
The agricultural census used a higher threshold than the AFR,
thus only agricultural holdings above the threshold were taken.
This threshold was applied to separate professional from hobby
holders, and to minimize processing burden.
Information on the census items existing in the AFR is taken
directly from the register for the whole census population.
The Netherlands - Agricultural Census 2010
Use of administrative registers as a source of census data
The use of Computer Assisted Personal Interview (CAPI) (see Section 4.2.1) can facilitate the field work. The devices can be programmed to use information collected in the short questionnaires to identify the sub-population to apply the long questionnaires. For example, the device can be programmed in such a way that the long questionnaire pops-up when a holding meets the threshold requirements or criteria related to the subpopulation of interest.
Countries should make this decision depending on their national requirements, taking into account cost and resource availability, including financial and human resources.
In addition to those advantages, for countries that do not have a functioning agricultural statistics system, this modality being a 10-year integrated census/survey programme, lays the foundations for the creation of such a system to produce a regular flow of basic data. It will allow the generation of 65% of the Minimum set of core data recommended by the Global Strategy and will also provide basic data for monitoring the relevant Sustainable Development Goals (SDGs). Finally, AGRIS is expected to generate the flow of quality data required to monitor regional policy frameworks, such as the African Union Comprehensive Africa Agriculture Development Programme (CAADP).
Some countries may have 5-year census programme instead of 10-year programme. In this case, the implementation of AGRIS should be adapted to this particular situation with possibly more frequent implementation of the rotating thematic modules.
See .......
The cases where only the identification items are taken from administrative sources (such as name, address and location of the holding) are not considered as part of combined census modality, in these cases data from administrative sources can be used for construction of the census frame.
Possible problems are: missing data when some or all characteristics for a given unit are missing; errors in the variables when erroneous values for certain variables are registered (e.g., when the respondents give erroneous identification numbers for administrative data sources in the questionnaire).
Pre-filled questionnaires have three main benefits:
They help reduce the burden on data suppliers by saving them time (assuming that checking and correcting is quicker than finding and entering data)
They allow to check the quality of the administrative data
They are very flexible, particularly where the coverage of administrative data is not as complete as would be required for the other ways of use discussed above. They allow an easy data revisions/changes and adding additional information. The main disadvantage is the risk of bias introduced because some respondents may simply accept the pre-filled data without checking them, or may choose not to spend time correcting errors.