News 2018

The objective of this training is to raise awareness and build technical capacity of national experts in Asia and the Pacific in terms of the importance and uses of sex-disaggregated statistics in agriculture, and for compilation, use and reporting of SDG indicators 5.a.1 and 5.a.2. The three main expected outputs of the regional training workshop are: 

The objective of this workshop is to build the technical capacity of the target audience to compile the SDG indicators under FAO custodianship and report them at national and international levels. In particular, after the workshop the target audience is expected to have a clear understanding on: 
• FAO’s role on SDG monitoring and implementation at regional and national level; 
• Methodology for the compilation of the of 21 indicators under FAO custodianship; 
• National data sources to be used to generate the SDG indicators under FAO custodianship; 

The main objective of the Course is to better equip and situate national and international stakeholders in the new SDGs statistical monitoring system. It is designed to enhance institutional capacity to identify, collect, analyse and disseminate labour market information and other indicators related to decent work. It emphasises the 19th ICLS resolution on statistics of work, employment and labour underutilization as an important pillar of the new SDG indicator framework, not only for targets in Goal 8 but also in other Goals related to the decent work agenda.

• Promote the integration of a gender perspective into national statistical systems with the aim of improving the availability and quality of gender statistics; 
• Introduce the Sustainable Development Goals (SDGs) Indicators and provide advice on how national statisticians can collect data for and compile “gender” relevant SDGs indicators, within specific regional and national contexts; 

Training course will feature an intensive workshop on the Advanced Data Planning Tool (ADAPT), an innovative web-based planning tool for National Statistical Offices, national planning agencies, and other data producers to document data demands and supply and identify the data gaps in policy, planning and monitoring frameworks.

This course introduce fundamental knowledge on poverty statistics. This course will help you understand how to compile and monitor Sustainable Development Goals (SDGs) indicators related to poverty.

The objectives of the training course are to enhance the capacity of the National Statistical Office, the Ministries of Agriculture and/or the Ministries of Food through provision of training to statistical staff. At the end of the workshop participants’ knowledge will be increased as well as their skills to produce data; apply appropriate statistical methods to produce PHL statistics and indicators including GFLI; interpret and utilise these for monitoring progress in achieving the SDGs.

The program will focus on the analysis of data coming from MICS surveys with the objective of calculating education indicators, particularly those relevant for SDG4. In addition to the training, the workshop will also serve as an opportunity for participating countries to share their experiences in terms of MICS data use.

The course is aimed at strengthening the technical capacity of entities of national statistical systems to produce a set of education-related statistics, including indicators, to formulate, implement and evaluate esucation policy and track progress towards the achievement of Sustainable Development Goal 4 (SDG4). 

• Improved understanding of ba sic concepts and framewor ks on statistics related to climate change and SEEA;
• To produce selected climate change-related indicators using national data, and acquire basic knowledge and skills on the SEEA accounting principles and identify basic data needs for compiling accounts;
• Facilitate experience shar ing among participating countr ies, and to understand country plans, and id entify opportunities fo r collaboration; and
• Promote the use of SEEA and climate change related statistics in policy formulation and monitoring

The Network facilitates information sharing and promotes coordination among national statistical training institutions, regional and international statistical training providers, and donor agencies that provide funding for statistical trainings in the region

The workshop provides an opportunity to participants to deepen the understanding of gender statistics for policy formulation and planning as well as for the implementation and monitoring of national development strategies and specific gender equality and women’s empowerment commitments.

This course is jointly organised by the Institute and the Japan International Cooperation Agency of the Government of Japan. It is designed to strengthen the capacity of entities belonging to national statistical systems, by providing statistical staff with training that aims at increasing their knowledge and improving their skills to produce data, to apply statistical methods in order to produce official statistics as well as indicators and to interpret and to use these for monitoring progress in achieving the SDGs.

The course aims to provide technical guidance on the selection and application of appropriate sampling methods for producing the minimum set of core data items for agricultural and rural statistics. Specifically, the objectives of the course are to: 
(i) Examine the minimum set of core data items for agricultural and rural statistics in the context of the application of sampling methods for data collection and production of associated statistics and indicators; and 

This training course is aimed at strengthening the technical capacity of statistical producers to incorporate new data sources, including Big Data, into their statistical production processes. This will enhance the capacity to provide of high-quality, timely and reliable data to produce the relevant SDG indicators and other statistics.

The course aims to help countries in the early stages of establishing statistical business registers and provide a platform for demonstrating good practices and exchanging experiences in the improvement, maintenance and use of statistical business registers.

The course aims to help countries in the early stages of establishing statistical business registers and provide a platform for demonstrating good practices and exchanging experiences in the improvement, maintenance and use of statistical business registers.

The overall objective of this training is to strengthen the technical capacity of statistical producers (statistical offices and other institutions) to apply relevant international comparable methods and standards in the compilation of agricultural cost of production statistics by: 
• Increasing understanding of various types of costs related to agricultural operations and how these concepts can be integrated in agricultural and rural statistics data collection programmes; 

The workshop provided an opportunity to participants to learn basic concepts and frameworks for the quality of statistics through hands-on sessions, with the overall aim of enhancing the capacity to produce a set of statistics including indicators, to track and monitor Sustainable Development Goals (SDGs)

Develop and enhance the leadership skills of new heads of NSOs toward effective leadership of statistical offices and the national statistical system
□ Improve confidence of heads of NSOs as statistical leaders in their national statistical system
□ Build sense of accountability
□ Create networks among statistical leaders
□ Share learning of experiences and practices in leading and managing their statistical offices and in their leadership role in the national statistical system Daily programme