The Gross Domestic Product (GDP) in Republic of the Congo was worth 15.32 billion US dollars in 2023, according to official data from the World Bank. The GDP value of Republic of the Congo represents 0.01 percent of the world economy. This dataset provides the latest reported value for - Republic of the Congo GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Congo, The Democratic Republic of the CD: Private Credit Bureau Coverage: % of Adults data was reported at 0.000 % in 2017. This stayed constant from the previous number of 0.000 % for 2016. Congo, The Democratic Republic of the CD: Private Credit Bureau Coverage: % of Adults data is updated yearly, averaging 0.000 % from Dec 2004 (Median) to 2017, with 14 observations. Congo, The Democratic Republic of the CD: Private Credit Bureau Coverage: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Democratic Republic of Congo – Table CD.World Bank.WDI: Businesses Registered Statistics. Private credit bureau coverage reports the number of individuals or firms listed by a private credit bureau with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult population.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

The project examines households’ daily management, financial governance, access to water and other basic social services in the city of Goma, in the eastern Democratic Republic of the Congo (DRC). It uses an innovative mix of social network research, ethnography and governance diaries to gain in-depth data to reveal how residents navigate public authority in an insecure environment and cope with unforeseen shocks. The data is collected every two weeks by five Congolese researchers over a period of eleven months. Project leads will analyse the data using complementary qualitative and quantitative approaches, yielding a range of outputs from co-authored academic articles to policy briefs and blogs written by researchers. A paper examining the political economy of water services in Goma will also be researched and written in mid-2019. This anonymised data concerns the household financial diaries of 23 households in three neighbourhoods of Goma, the provincial capital of North Kivu, in the Democratic Republic of the Congo (DRC) between February 2019 and March 2020. Our research centred on man- and woman-headed households of low and middle socioeconomic strata. It is designed to be used alongside ethnographic interview and social network data which was also collected but is not in this repository due to sensitivities.CPAID will address critical questions that have bedevilled the outside world's engagement with governance of fragile, conflict affected, marginal and impoverished populations. In these places inclusive growth has proved elusive. We propose a different starting point. Rather than anticipating transitions to accountable and capable Western government familiar to policymakers, CPAID prioritises the everyday lived realities of ordinary people in conflict-affected and fragile situations. In these places, the foundations of such growth are far more widespread and pervasive than state institutions. Through the lens of public authority, CPAID researchers seek to understand how governance actually functions in such circumstances, what forms of growth does this accomplish, and can actually existing forms of inclusive growth be promoted by development practitioners. Only a historically-informed, contextual and interdisciplinary analysis of how political, economic and social factors interact can achieve a full understanding of 'real governance' in conflict affected in places. Understanding these dynamics is critical to inform new and improved models of international development which will actually provide or enhance firm foundations for future inclusive growth. CPAID will explore how forms of public authority shape and are shaped by a set of interlocking global challenges that pose both risks and opportunities for international development and inclusive growth: namely, the provision of security and justice; migration, displacement and situations of endemic violence; global health threats; control and allocation of resources; and advances in media and information technologies. CPAID will fill a serious evidence gap about on the ground realities in large areas of Africa which currently affect other regions, including Europe. The CPAID team includes world- leading authorities on, Uganda, Kenya, Sierra Leone, Rwanda, Burundi, Democratic Republic of Congo, South Sudan, Sudan, Somalia, Ethiopia, and Central African Republic. Our primary focus is on public authority as perceived, understood and experienced by populations in locations of research. Research over the last decade or so has challenged prevailing assumptions embodied in the 'failed states' discourse, namely that in the absence of western-style governance institutions, fragile and conflict affected societies collapse or flounder. CPAID will undertake research which can help us understand the various ways in which actual forms of public authority work. This approach is desperately needed in development policy. Conventional conflict and post-conflict state building processes, premised on Weberian notions of the state, are hugely expensive and too often unsuccessful or arguably even counter-productive. Moreover, with the rise of 'resilience thinking', donors are increasingly acknowledging that the world is a place of 'radical uncertainty', and determined, in the words of DFID to 'embrace uncertainty as an opportunity to... bounce back better'. This has underpinned a new, but under-researched agenda to find more cost-effective and culturally 'embedded' forms of governance that donors can support. This research will also take place in the context of massive investments to provide internet connectivity. The next five years will witness unprecedented efforts to connect millions of people who do not currently have internet access in Africa, in remote and borderland areas. Examining the role of new technologies, including social media, in reshaping public authorities and governments will provide crucial entry points to develop policies to achieve new forms of inclusive growth.

Abstract

The Skill Development for Employability Project has been launched in 2015 by the government of the Republic of Congo, and jointly financed with the World bank. The project provides vocational training to young men and women in Brazzaville and Pointe Noire. The World Bank Africa Gender Innovation Lab (GIL) is conducting an impact evaluation of one of its sub-component, in which beneficiaries enroll in a six-month technical training course, followed by a three-month internship, and a job search support program.

To reach its targets, the project is being rolled out over several years, training successively different cohorts of applicants. This dataset was generated through the baseline survey of the first cohort participating in this subcomponent. In the future, it will be expanded to include the subsequent cohorts of participants. Applicants must be between 17 and 30-year-old, and have the possibility to choose between a number of trades including mechanics/auto-mechanics, electricity, welding, textile, hospitality, carpentry, cooking. Following their internship, they receive support from the program to launch their job search or independent activity.

The program’s main objectives is to increase participants' level of employment, by strengthening their technical and managerial skills. Moreover, the project is designed to support young women who wish to cross over to non-traditional sectors, which are typically dominated by men, but are more profitable. In other words, the program seeks to find solutions to address gender segregation in the labor market. The project is providing a daily transportation fees of 1500 CFA to young men and 2000 CFA to young women. A higher amount was provided to women, notably to encourage young mothers to participate to the program. Through these incentives, the project hopes to enroll about 50% women among the beneficiaries.

Geographic coverage

The impact evaluation and the project are conducted in the cities of Brazzaville and Pointe-Noire.

Analysis unit

Individual

Universe

These datasets are the baseline data of the first cohort of the project. The data contain information on 880 individuals who received or not the program.

Kind of data

Sample survey data [ssd]

Sampling procedure

The overall sample of the study is estimated to be about 3500 individuals (control and treatment). For this first cohort, the study sample was 929 individuals - 880 were surveyed.

To select the project's beneficiaries, applications were collected in all districts of Brazzaville and Pointe Noire. A team spent a full day in each district collecting applications and conducting a pre-screening of interested candidates. The project spent 5 days to collect applications in the 9 districts of Brazzaville and 6 days in the 6 districts of Pointe-Noire.

To be eligible to the program the following criteria were requested: - Be aged between 17 and 30-year-old - Having been out of school for at least a year before the application - Have at least 6 years' education level - Be a Congolese national

In the application center, the young men and women were helped by members of governments to fill an application form. After filling personal information requested on the form, they received information on the different trades offered by the program, before selecting up to two trades for which they were interested in receiving training. This process was followed by a one-to-one interview with a trainer in their selected trades, during which they were also asked to take a test in reading and basic maths.

For each trade, the goal was to select three times as many applications as there were available spots. A random draw was then conducted within each trade to assign applicants to control or treatment groups.

Sampling deviation

None

Mode of data collection

Computer Assisted Personal Interview [capi]