People in developed countries rarely think of weather in life-or-death terms. But millions in the developing world have no choice but to do so. The global rich have stable governments, savings accounts, insurance, and more to fall back on when disaster strikes. People in poorer countries don’t, so they’re often faced with tough decisions in times of drought: Sell the only ox for food and plow by hand next year? Take the kids out of school and put them to work chopping firewood for extra cash? Abandon the farm and family to look for work in the city?

The saying goes, what hasn’t been counted doesn’t count. Our latest datasets for the Environment and Gender Information (EGI) platform are proving this true.

When anyone wishes to support – or defeat – a given position, the sturdiest method is to generate data to predict its consequences. Advocates generate reams of numbers to substantiate their preferred outcome.

When war breaks out, what happens to the weather forecast? Violent conflict disrupts many essential services in developing countries and one of the most overlooked is meteorology, which has surprisingly big consequences for farmers, policymakers, and the aid workers who are there to help.

Researchers have been warning about future water scarcity for decades, but new data reveals a majority of the world’s largest aquifers are already running out of water.

To ensure no one is left behind by the next generation of global development goals, a comprehensive mix of robust data is needed to measure progress and guide investments. A recent report coordinated by the Sustainable Development Solutions Network estimates the world will need to spend roughly $1 billion a year to sustain and enhance the statistical systems supporting and evaluating progress towards the Sustainable Development Goals (SDGs), the successors to the Millennium Development Goals expected to guide the development agenda for the next 15 years.

Population projections undergird many important policy decisions, from the U.S. government’s Feed the Future program to the Sustainable Development Goals. But they’re not as straightforward as they appear. Demographers often base their estimates on complicated assumptions that aren’t obvious to the end user.

In an effort to revamp the time-intensive process of conducting household surveys to collect health data in developing countries, a new project is using mobile phones and rapid processing techniques to generate regular updates for a tranche of indicators previously only adjusted every three to five years.