Machine learning algorithms are excellent at answering “yes” or “no” questions. For example, they can scan huge datasets and correctly tell us: Does this credit card transaction look fraudulent? Is there a cat in this photo?
But it’s not only the simple questions – they can also tackle nuanced and complex questions.
Today, machine learning algorithms can detect over 100 types of cancerous tumors more reliably than a trained human eye. Given this impressive accuracy, we started to wonder: what could machine learning tell us about where people live? In cities that are expanding at breathtaking rates and are at risk from natural disasters, could it warn us that a family’s wall might collapse during an earthquake or rooftop blow away during a hurricane?
Latin America & Caribbean
“Once, it was a rodeo day here and my son asked for money to go. But I didn’t have the money and told him to sell our farm’s bananas on the road instead. So, he took 50 bunches of bananas and sold them all in a few hours. Soon I started a banana business. The sales enabled me to expand my business to packed lunches for truckers. Over time, with the help of my family, the road administration, and my own investments, I started receiving invitations to make meals for college students and travelers.”
Angela, small-holder farmer and entrepreneur, São Paolo, Brazil.
Angela told us her story one afternoon as we ate the delicious lunch she had prepared for us at her rather humble roadside eatery in rural São Paulo, Brazil.
Her story was not only touching but also summed up the importance of entrepreneurial foresight and the power that collaboration holds in opening new doors for poor farming communities.
in Brazil - (although these farmers make up a much smaller proportion of Brazil’s overall farming community and have a different landholding structure).
Even though family farmers represent a small slice of Brazil’s cooperatives, the impact of their collectives is considerable.
The productivity of Brazil’s agriculture is evident.
Yet, farmers’ incomes continue to be subdued.
To help farmers earn more from the land and move onto a higher trajectory of growth, India has gradually shifted its policy focus to linking farmers to markets, as well as enabling them to diversify their production and add value to their produce.
So how do Brazil’s farmer collectives work?
At the Annual Meetings of the World Bank Group and International Monetary Fund in Bali, Indonesia, the World Bank highlighted the importance of human capital for economic development.
Central to the World Bank’s motivation for the Human Capital Project is evidence that investments in education and health produce better-educated and healthier individuals, as well as faster economic growth and a range of benefits to society more broadly. As part of this effort to accelerate more and better investments in people, the new Human Capital Index provides information on productivity-related human capital outcomes, seeking to answer how much human capital a child born today will acquire by the end of secondary school, given the risks to poor health and education that prevail in the country where she or he was born.
While public transit has a relatively high reach across the metropolitan region, it falls short of the growing demand, and historical underinvestment has led to growing motorization. Congestion in Sao Paulo is among the worst in Latin America. In 2013, the productivity losses and pollution associated with congestion costed the metropolitan area close to 8% of its GDP, or over 1% of Brazil’s total GDP.
In the last decades, the World Bank Group has been working closely with São Paulo to boost public transport infrastructure and policies, which has helped the city expand mass transit coverage and develop a more comprehensive approach to urban transport.
The latest wave of disruptive technologies that is reshaping the transport sector –including shared mobility platforms, electric vehicles, and automation— are now providing exciting new ways to build on these gains. If properly integrated into broader public transport policies, these innovations have the potential to reduce the use of single-occupancy vehicles, decrease pollution and carbon emissions, improve traffic flow, and save energy.
Among all these new technologies, let’s take a closer look at shared mobility and on-demand mobility solutions like ride-hailing apps or bikeshare systems, which have been growing rapidly around the world.
Tomas Castelazo | Wikimedia Commons
The Colombian magazine Dinero, one of the most respected economic publications in Latin America, recently published a story about a World Bank study that placed Colombia as the second most competitive country in the world—behind a tie between Great Britain and Australia—to finance infrastructure projects under the public-private partnership model (known as PPPs). This score (83 points out of 100) was also shared by Paraguay and the Philippines.
At first glance, this is a virtuous recognition—at least on paper. However, in daily practice in the Latin American region, like most emerging economies, the administrative complexity of government bodies still presents enormous challenges that demand immediate attention if PPPs are to reach their full potential. Getting this right would truly integrate the PPP model into the economic and social development engine required to compete in a globalized economy.
When you think of Bolivia, which is the first city that comes to mind? La Paz? Santa Cruz or maybe Cochabamba? But what about Trinidad or Tarija? Or perhaps Cobija or Riberalta? These are relatively smaller cities when compared to cities like La Paz or Santa Cruz, but they are growing the fastest in terms of population. Why is that? And how can these smaller, intermediate cities manage growth so that they are sustainable and prepared for the future?
A few years ago, it would have been unlikely for a young Latin American student from a disadvantaged background to be able to access high-quality technical training using state-of-the-art technology and laboratories.
Aracelis owns a hair salon in Santo Domingo. Like all the other owners of the nearly 20,000 small and medium-sized enterprises (SMEs) in the Dominican Republic, she dreams about making her business thrive. SMEs in this Caribbean country employ more than 500,000 people, representing a key driver of economic growth. To make their businesses grow and achieve their goals, all business owners need one crucial ingredient: money.
They play such a pivotal role in addressing global challenges and improving citizen’s lives that
The World Development Indicators (WDI) is the World Bank’s premier compilation of international statistics on global development. Drawing from officially recognized sources and including national, regional, and global estimates, the WDI provides access to almost 1,600 indicators for 217 economies, with some time series extending back more than 50 years. The database helps users—analysts, policymakers, academics, and all those curious about the state of the world—to find information related to all aspects of development, both current and historical.
An annual World Development Indicators report was available in print or PDF format until last year. This year, we introduce the World Development Indicators website: a new discovery tool and storytelling platform for our data which takes users behind the scenes with information about data coverage, curation, and methodologies. The goal is to provide a useful, easily accessible guide to the database and make it easy for users to discover what type of indicators are available, how they’re collected, and how they can be visualized to analyze development trends.
So, what can you do on the new World Development Indicators website?
1. Explore available indicators by theme
The indicators in the WDI are organized according to six thematic areas: Poverty and Inequality, People, Environment, Economy, States and Markets, and Global Links. Each thematic page provides an overview of the type of data available, a list of featured indicators, and information about widely used methodologies and current data challenges.
- open data
- world development indicators
- Urban Development
- Social Development
- Public Sector and Governance
- Private Sector Development
- Migration and Remittances
- Law and Regulation
- Labor and Social Protection
- Information and Communication Technologies
- Global Economy
- Financial Sector
- Climate Change
- Agriculture and Rural Development
- South Asia
- Middle East and North Africa
- Latin America & Caribbean
- Europe and Central Asia
- East Asia and Pacific
- The World Region