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Democratic Republic of Congo - Statistics Development Project (Английский)

The development objective of the Statistics Development Project for Democratic Republic of Congo (DRC) is to strengthen the capacity of the national statistical system (NSS) to produce and disseminate core economic and social statistics. The project comprises of two components. The first component, data production, dissemination, and use to strengthen the statistical infrastructure for poverty and economic monitoring will finance the implementation of a program of activities designed to improve the statistical infrastructure, and the quality and timeliness of national accounts statistics, agriculture statistics, and poverty and inequality statistics produced by the NSS. It consists of following five sub-components: (i) support to the cartography of the population and housing census; (ii) system of surveys on household living conditions: poverty, inequality, and jobs; (iii) agriculture census and surveys; (iv) national accounts statistics; and (v) improving information technology (IT) and equipment for data production and diffusion. The second component, human resources development and management aims at identifying and providing support to create an enabling environment for the DRC’s NSS to produce and disseminate reliable statistics. It consists of following five sub-components: (i) staffing and policies; (ii) support for the development of the national statistics schools; (iii) scholarship program for the training of Congolese in the regional and national statistics and demography schools; (iv) young professionals program; and (v) project management.

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    Демократическая Республика Конго,

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  • Название документа

    Democratic Republic of Congo - Statistics Development Project

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    Quality and Cost Based Selection;Annual Work Plan and Budget;survey on household live condition;information and communication technology;Demographic and Health Survey;Fragile, Conflict & Violence;millennium development goal;Analysis of Economic Growth;Institutional data;day to day activities;national account;Program of Activities;human resource development;consumer price index;Safeguard Policies;vital registration system;short term consultant;transfer of knowledge;Poverty & Inequality;financially sustainable system;global financial crisis;public service agency;collective labor agreement;safeguard policy;Young Professionals Program;readiness for implementation;dissemination of knowledge;support to beneficiary;accountability for results;local labor market;representative household surveys;human resource management;demand for statistic;human resource capacity;statistical information;statistical system;population census;agricultural census;housing census;Data Production;international standard;business census;social statistics;census cartography;agricultural production;enterprise survey;poverty index;computer science;knowledge product;Macroeconomic Statistics;institutional context;good governance;survey design;statistical data;retirement age;economic reform;data portal;data management;legal framework;socioeconomic indicator;Staff policies;local trainer;selection criterion;binding contract;computing center;unallocated fund;material resource;job profile;employment contract;official statistic;lump sum;academic result;regional school;professional degree;competitive examination;data needs;national capacity;organizational chart;regional statistics;job training;finished product;industrial production;computer hardware;consultancy service;research purposes;free access;subnational levels;production capacity;data quality;innovative learning;career framework;internal procedure;Salary Scales;pedagogical support;applied statistic;institutional assessment;skill need;train activity;national statistical;share value;budget work;independent assessment;intermediate outcome;results framework;monitoring indicator;Advisory services;public debate;evidence-based policy;agricultural statistic;Agricultural Statistics;ecological zone;direct beneficiaries;living standard;indirect beneficiary;outcome indicator;living condition;Public Infrastructure;population size;population data;information base;debt stock;crop output;service access;external aid;existing population;sampling frame;formal business;population dimension;methodological approach;crop production;Extractive Industry;leadership development;fiduciary capacity;operational capacity;program consisting;income source;regular monitoring;household welfare;socioeconomic status;financial intermediaries;Vocational Training;benefit package;development partner;monthly salary;central organ;informal sector;collected information;local capacity;weak foundation;governance mechanism;civil society;poverty indicator;diagnostic framework;investment operation;simple average;operation risk;quality datum;risk category;strategic guidance;physical infrastructure;surface area;mineral wealth;institutional resource;water resource;human capital;survey respondent;effective systems;data transfer;career management;job mobility;business statistic;Economic Policy;

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