The present strategic planning guide has been compiled to assist countries with the development of a civil registration and vital statistics (CRVS) strategic plan and work programme following a comprehensive assessment process. A strategic management process model is proposed that outlines four distinct phases, namely: (i) strategy analysis; (ii) strategy formulation; (iii) strategy implementation; and (iv) strategy review. The guide outlines the processes and steps to be followed, together with supportive templates to be completed in each phase.

The point of entry of this document is to learn from what has already been done in many countries in the world, including Norway, Albania, Kazakhstan and Mozambique, and to present and discuss good practices to facilitate the process for countries embarking on a CRVS development process. The report also describes the specific role that potentially can be played by national statistical offices in CRVS development, both in building and maintaining registers as well as producing and disseminating data from the system.

The Plan was expected to serve as a guiding tool for countries, regional and international organizations, in managing interventions and monitoring achievements in CRVS systems in Africa from 2010-2015. This regional medium-term plan (MTP) is designed to address areas that need critical reform measures to ensure improved results across all member States.

The purpose of the Guideline is to enable the national offices entrusted with generation of vital statistics to have a critical review of their activities and identify areas for improvements. Considering that civil registration system itself is in nascent stages of development in many countries, it is better to take the CRVS system together for improvement.

This guideline deals with improving Civil Registration Systems and would supplement the UN manuals on the subject. Thus, this guideline is intended to assist national governments in general and CRVS organizations in particular for preparing national strategies and action plans for improving CRVS systems.

This course has been set up in response to the growing shortage of skilled population analysts in low and middle income countries, as identified by IUSSP and UNFPA, and the lack of post-graduate training in technical population analysis available to counteract this trend. The primary focus of this course is introducing the user to the methods used by demographers to analyse population data, and the sources of this data and the methods used to collect this data. Throughout the course, students are introduced to the types of issues of interest to demographers through real examples.

This handbook contains instructions for physicians on cause-of-death certification. It was prepared by the Department of Health and Human Services’ Centers for Disease Control and Prevention’s National Center for Health Statistics (NCHS). These instructions pertain to the 2003 revision of the U.S. Standard Certificate of Death and the 1992 revision of the Model StateVital Statistics Act and Regulations. This handbook serves as a model that can be adapted by any vital statistics registration area.

As part of the reporting structure of the Regional Action Framework on Civil Registration and Vital Statistics (CRVS) in Asia and the Pacific, by the end of 2015, members and associate members are required to submit a baseline report to the ESCAP Secretariat through their designated national focal point. The present document is intended to facilitate the compilation of national data and inputs for this baseline report.

This document provides guidance on identifying and mitigating risks associated with digital birth registration for implementing government agencies and their partners operating in low- and middle-income countries. It expands on the model of DBR developed by Plan International as part of its Count Every Child initiative and within the context of strengthening civil registration and vital statistics (CRVS) systems more broadly. The tool provides: checklists of likely risk factors, example risk mitigation mechanisms for each, and prompts to develop context-based responses.