Sub-Saharan Africa has experienced low economic growth per capita, a very slow decline in poverty incidence, and the number of people living in extreme poverty has been rising steadily. As a…

Johannes Hoogeveen, Johan A. Mistiaen, Haoyu Wu |

Achieving universal early warning system access is challenging, particularly in regions affected by fragility, conflict and violence, where financial and human resources are scarce, and where…

Lara Loussert, Karima Ben Bih, Vladimir Tsirkunov, Anna-Maria Bogdanova |

In Haiti, violence against women is rising, driven by the recent proliferation of gang attacks, kidnappings, and political and economic upheaval.

Bruce MacPhail |

The Quality Infrastructure Investment (QII) Partnership, a World Bank-Japan initiative providing grant support for incorporating the G20 QII Principles, kick-starts infrastructure investments…

Naomitsu Nakagawa |

After struggling to recover from the shocks of the 2010 earthquake and Hurricane Matthew in 2016, Haiti’s economic development continues to be hampered by political instability, institutional…

Ivy Kuperberg, Christian Zeballos |

The World Bank supports cybersecurity skills development initiatives in developing countries to help close the cybersecurity skills gap and enhance cyber resilience as a catalyst for socio-…

Ghislain de Salins, Anat Lewin |

Africa is not on track to achieve the Sustainable Development Goal of eradicating extreme poverty. While many countries were successful in reducing poverty during the years before the pandemic,…

Camilla Holmemo, Christian Bodewig, Robert S. Chase, Suleiman Namara |

In advance of the next meeting of the Sovereign Debt Roundtable on April 12, I want to provide a quick update on recent developments and reiterate my call for prompt action toward debt…

David Malpass |

While infrastructure has been perceived as gender-neutral, it can be deeply exclusionary if masculine sensibilities solely determine the design. How can private investors incentivize gender…

Luciana Guimaraes Drummond e Silva |

Detailed data on the spatial distribution of jobs is crucial, but such data are rarely available. This study develops a machine learning algorithm that relies on widely available public data to…

Paolo Avner, Jun Rentschler, Samira Barzin, Neave O'Clery |