The Ethiopian Statistical Association (ESA) has designed a Research and Project Unit to lead, manage and coordinate the implementation of research projects, and development projects and initiate new projects/programs in collaboration with the Ethiopian Statistics Service (ESS), project stakeholders, development partners and members of the association. In 2023, in consultation with Research and Project Coordinator, the Executive Committee of ESA has established Project Core Team with four high caliber executive members namely, Mr. Gezahagn Getahun, Dr. Zeytu Gashaw, Dr. Gezahegn Mekonnen and Ms. Haymanot Zeleke.

The  Research and  Project  Coordinator of  ESA in close collaboration with the Ethiopian Statistical Service (ESS) , Ministry of  Planning and Development and Development Partners has planned to initiate a new national statistical program and  other initiatives.

Upcoming Project

The Ethiopian Statistical Association (ESA) in joint venture with the Data Management and Information System Support (DMISS) has submitted Technical and Financial Proposals to the Ethiopian Public Health Institute (EPHI) for the call for Data Science Consultancy Service (Develop Data Analytic, Epidemic Tracking and Data Visualization Interactive Platforms for Disease Intelligence).

The overarching goal of the Africa’s Center for Disease Control and Prevention Regional Investment Financing Project (ACDCP) is to enhance disease surveillance and response systems across the targeted countries, with a broader vision of influencing the entire Horn of Africa and
Southern Africa region. The Project Development Objective (PDO) focuses on empowering Africa CDC to strengthen continental and regional frameworks for detecting and managing infectious diseases.

The principal objective of this data science consultancy service is to revolutionize Ethiopias public health landscape by establishing an advanced, interconnected, and data-driven ecosystem. This initiative is designed to enhance data utilization capabilities, standardize health datasets,
optimize health systems planning, and track progress towards key health indicators. By deploying state-of-the-art technologies and methodologies across the various work packages, the initiative seeks to facilitate evidence-based decision-making, ultimately improving health outcomes and fostering a resilient and responsive healthcare system.

Ongoing Project

Completed Project

The World Health Organization (WHO) awarded the Post Measles Campaign Coverage Survey (PMCCS) Project to the Ethiopian Statistical Association (ESA).

The overarching objective of the Post Measles Campaign Coverage Survey is to validate the measles vaccination campaign conducted in 2022 children aged 9 months to 59 months at nationwide (all regional states and two city administrations) through cluster household survey using enumeration areas(EAs). The PMCCS project is a large scale nationwide project and the project covered 1,283 enumeration areas (EAs) and a representative sample of 12,830 eligible households. 

The data collection carried out throughout the nation engaging 149 data collectors, 24 supervisors, 18 regional coordinators, 2 Project Managers, 5 Key Technical Experts, 3 M&E Specialists, 4 Logistic and Recruitment Members, 5 Advisory Members, 7 Technical Editors and 2 Admin and Finance.

The PMCCS Project contributed various opportunities to the Ethiopian Statistical Association. It is the first large scale project in the history of ESA.  WHO, GAVI, Ministry of Health (MOH), UNICEF and CDC are key partners of PMCCS Project.  ESA has successfully delivered the Final PMCCS Report and Policy Brief to WHO.

As labor market information (LMI) is one of the most important resources, the government apparatus, and establishments seriously needs it. However, there are serious challenges in the scope, accessibility, standardization and utilization of the existing as well as potential LMI. The Addis Ababa Bureau of Labor and Social Affairs (AABoLSA) is well aware of the necessity of taking a variety of measures to mitigate these challenges. Conducting a comprehensive survey project is considered to be one of the major steps to be taken towards improving LMI. In this broad endeavor, the existing situation was investigated and analyzed in Phase-I of this project (ELMISAA 2019). In this study (Phase-II), in addition to ELMISAA 2019 the challenges identified, level of coordination (networking) among stakeholders/institutions with respect to LMI and their consequences, and possible recommendations are expected.

The overall objective of the ELMISAA project is to provide timely, current, and research-based reliable labor market indicators to the city government so that it can formulate evidence-based policies and programs and make informed decisions. BoLSA and CSA were key stakeholders of ELMISA II Project.

The broad objective of this project was designed to provide its detailed analysis on the labor market mainly on employment, unemployment and poverty situation of the city. This in depth analysis will serve as a basis for policy making and program of intervention against problems of the rapid growth of the labour force together with deep economic and social problems, which have adverse impacts on employment opportunities, besides establishing a database: to produce timely, quality and comprehensive labor market indicators on a sustainable basis.

Mobile devices in data collection can improve efficiency in terms of cost and time as well as enhance the quality of data as compared to traditional methods, the main objective of this project is to increase the capability of the Central Statistical Agency of Ethiopia in applying mobile devices for data collection so as to enhance the availability and access of timely and quality data in the country. The project will investigate and evaluate the use of mobile technology for field data collection with the following specific objectives.

  • identify the right software technology
  • identify the right mobile device technology
  • develop procedures for receiving, collating and analyzing data
  • develop mechanisms for ensuring data security and quality
  • test data transmission and review field challenges and lessons observed
  • configure and test separate server for testing use of mobile devices for data collection
  • collate, merge and export data using other statistical software
  • keep database of the exported data at the server