Angola Strengthening Statistical Capacity
Sector: Commercial • Location: Angola
Source: World Bank Group
The project will be structured in three components: (1) Institutional Reform and Statistical Capacity, (2) Data Production, and (3) Project Management and Monitoring and Evaluation. The project components and subcomponents were identified through discussions with INE. During preparation, input and feedback is being sought from a sample of intended primary project beneficiaries, to confirm whether
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | active |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The project will be structured in three components: (1) Institutional Reform and Statistical Capacity, (2) Data Production, and (3) Project Management and Monitoring and Evaluation. The project components and subcomponents were identified through discussions with INE. During preparation, input and feedback is being sought from a sample of intended primary project beneficiaries, to confirm whether proposed project activities are relevant and appropriate, and to identify any additional potential risks associated with the proposed project. The project components are described below: 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 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. Component 2: Data Production: 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; and 5) Dissemination and communication. In addition to collecting these data, INE will increase dissemination of information from these surveys, prepare preparing and disseminate disseminating detailed and timely reports, and investing in open data by publishing indicators and tabulations and make making freely available the anonymized datasets from each of these subcomponents in their INE’s micro-data library. Component 3. Project Management and Monitoring and Evaluation: Project planning and management will be supported by the provision of technical advisory services, training, operation costs, and the acquisition of goods. Successful implementation of the project requires a dedicated Project Implementation Unit (PIU) staffed with a project coordinator as well as specialists in financial management (FM), procurement, safeguards, and monitoring and evaluation (M&E). The project will also require regular financial auditing, both internal and external. The unit will be supported by international consultants, as needed, with a focus on building the capacity of the PIU over the initial phase of the project. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
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Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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