According to bank documents, the project is to improve Angola’s statistical capacity, its efficiency in data production, and its use of data for public program monitoring.
Component 1: Institutional Reform and Statistical Capacity: The first component builds on the progress made under the earlier project, Angola Statistics Project (P157671) referred to as Statcap I in this document, to support the modernization of INE and the national statistical system of Angola. Statcap I supported a series of targeted assessments and follow-up actions recommended by these assessments, including a large investment in information and communications technology of INE, targeted trainings across technical and project management areas, and improving managerial processes and organizations. This component will build on earlier investments by continuing the modernization of the national statistical system and of INE and increasing collaboration across the national statistical system. It will also support the development and implementation of a quality framework for quality control for basic and aggregated statistics based on international best practices. It also includes activities to improve the quality of administrative data used for program monitoring.
Component 2: Data Production and Dissemination: The second component aims to build a sustainable and affordable system of surveys to provide the country with up-to-date and high-quality socioeconomic
information. This is accomplished by building on the foundation of surveys and censuses prepared under the StatCap I. This component is made up of five sub-components: 1) Economic data and national accounts; 2) Regular welfare monitoring; 3) Agricultural and Fisheries monitoring system; 4) Preparation for the demographic census, including the update of the cartography; and 5) Dissemination and communication. Table 2 reports all survey activities that are proposed to be financed by this Project. In addition to collecting these data, INE will increase dissemination of information from these surveys, preparing and disseminating detailed and timely reports, and investing in open data by publishing indicators and tabulations and making freely available the anonymized datasets from each of these subcomponents in INE's micro-data library.
Liliana Do Couto Sousa
Alejandro Medina Giopp
Republic of Angola
National Institute for Statistics of Angola (INE)
José dos Santos Francisco Calengi
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