According to the latest estimates, 33.5% of people in Ethiopia live under $1.90 a day. But how do we know that? Where do this number come from?
Well, it comes from household surveys! To learn more about what it takes to collect these data, we talk to Diane Steele, who’s the Household Survey Coordinator of the Living Standards Measurement Study (LSMS) program here at the World Bank. The LSMS program works with countries to help them collect high-quality household survey data, and also to improve the methods used to collect it.
In this episode, Diane tells us about what it takes to put together a household survey. Among other things, you’ve got to design a questionnaire - but how do you make sure that you’re asking the right questions? And you need to design a sample - but how do you know how large of a sample you need in order for the survey to be nationally representative? And you need to train your interviewers properly - but how do you know that they’ve understood the process clearly?
In a world where 77 countries still don’t have the data that they need to measure and track poverty, it’s all the more important to keep improving the way that we collect surveys, so that we’re confident that we’re getting good data that countries can use to create better policies for their citizens. That’s why the World Bank committed to work with the world’s poorest countries to ensure that they collect household surveys every 3 years, so that we’re all better equipped with the information we need to fight poverty and improve people’s lives.
Aside from all that, you can also tune in to hear me ask Tariq about whether he's the head of his household, how many hours he worked last week, and whether or not he's living under an asbestos roof.
This episode of Between 2 Geeks is hosted by Tariq Khokhar & Raka Banerjee, and produced by Richard Miron. You can chat with us on twitter with the hashtag #Between2Geeks, listen to new episodes on the World Bank Soundcloud Channel and subscribe to “World Bank’s Podcasts” in your podcast app or on iTunes.
Globally, there are over 98 mobile subscriptions per 100 people, so the chances are, you have a cell phone. Now look at your recent calls, both sent and received: Who do you call most often? Who calls you the most? Do you send, or receive more calls? All this is cell phone metadata: not the content of the calls, but ancillary information, the “who, where and when”.
It’s information that can reveal a lot about you. Your cellphone carrier already uses it to bill you, and may also be using it to target marketing or special offers at you. And with appropriate privacy protections, it can offer researchers a similar opportunity. In this week’s episode of Between 2 Geeks we ask how cellphone metadata (“call detail records”) can help researchers understand entire societies.
But where does data come from? And what’s really going on behind the scenes to arrive at these all-important numbers? A new PBS documentary called The Crowd and the Cloud brings data to life by showing us the real lives behind the data points and the hard work that it takes to turn a human story into a statistic.
Hosted by former NASA Chief Scientist Waleed Abdalati and written and produced by Geoff Haines-Stiles (Senior Producer of COSMOS with Carl Sagan), The Crowd and the Cloud is a four-part documentary that examines the rapidly growing field of citizen data science, showing how regular citizens are increasingly able to gather and share valuable data on the environment, public health, climate change, and economic development.
Episode 4: Citizens4Earth follows Talip Kilic from the World Bank’s Living Standards Measurement Study program as he travels to far-flung rural communities in central and southwestern Uganda, along with the survey teams for the Uganda National Panel Survey (UNPS). In the episode, James Muwonge (Director of Socioeconomic Surveys at the Uganda Bureau of Statistics) explains why household surveys like the UNPS are so important for investment decisions and policy-making, particularly in developing countries like Uganda.
half lacked sufficient data for measuring poverty between 2002 and 2011. In response, the World Bank has committed itself to reversing this dismal state of affairs: in October 2015, World Bank President Jim Yong Kim announced that the Bank would support the 78 poorest countries in conducting an LSMS-type household survey every 3 years.and the Bank’s twin goals of ending global extreme poverty by 2030 and boosting shared prosperity. However, we still face significant challenges around the world in terms of data availability - among the 155 countries for which the World Bank monitors poverty data,
Education is one of the strongest tools that we have to reduce poverty, improve health outcomes, increase gender equality, and promote peace and stability. For every year that people are educated, their earnings increase by 10%. However, there are still 121 million children who are not attending primary and secondary school around the world, and approximately 250 million children can’t read or write.
What can countries do to change this situation, and what can successful countries teach others about how to get things right in the classroom?
Message from Gero Carletto (Manager, LSMS)
I would like to take this opportunity to remember Hans Rosling, a friend and supporter of the LSMS. I don’t need to tell you about his contagious enthusiasm for data or his masterful use of visualization tools to communicate statistics. I can’t say I knew Hans that well, but over the years, even if only based on sporadic interactions, I came to appreciate him both as a person and a scientist. I met him for the first time in 2013 and still remember the flabbergasted look on his face when Kathleen Beegle and I told him that the core LSMS team consisted of only four part-time staff. He was astounded to find out that we were so small, yet we looked so big. And, of course, being the visualization maestro that he was, he immediately came up with his own visual representation of the LSMS with a tool he had at his disposal at that moment: his hand!
From that day on, every time we met, he greeted me with his "LSMS hand." To this day, it remains a good, and fun, memory of Hans.
2016 was the hottest year on Earth since modern records began in 1880, and 16 of the 17 hottest years on record have occurred since 2001.
Between now and 2050, Africa will add over 1 billion people to its population.
That’s a startling statement about something that’s 30 years in the future. One group with a record of making such long-range projections is demographers like Dr. John May with the Population Reference Bureau.
In our discussion with John, he explains that the growth and structure of populations is linked to one fundamental issue: mortality rates. When infant and child mortality rates decline, fertility rates also eventually decline and population growth slows down. And as life expectancies increase, the share of older people in a country’s population goes up.
But it turns out things are a bit more complicated than that, and there are large implications for public policy that are ultimately driven by demography.
Even when a region like Africa has declining fertility rates, “population momentum” means that countries will continue to grow. With this growth comes the need for better infrastructure, services, and crucially, jobs.
By one estimate, the global economy will need to add 600 million jobs over the next 10 years - mostly in Africa and Asia - just to keep up with young people entering the workforce.
So how is demography shaping our future, and how can we make it the future we want?
This episode of Between 2 Geeks is hosted by Tariq Khokhar & Raka Banerjee, and produced by Richard Miron. You can chat with us on twitter with the hashtag #Between2Geeks , listen to new episodes on the World Bank Soundcloud Channel and subscribe to “World Bank’s Podcasts” in your podcast app or on iTunes.
I find data to be a great way of getting into a subject.
Take forests for example. Making this map about where forests have been lost and gained since 1990 led me down a wonderful rabbit hole of learning about China’s successful reforestation programs, how forests support people’s livelihoods, the definitions of what counts as a forest (hint: it’s not just “a bunch of trees”), and how organizations use a variety of sources from nationals surveys to satellite imagery to produce this data.
Not only is there a story behind every number, but numbers can help to tell the story of development.
We’ve got a great lineup of guests, and discuss topics including Africa’s “demographic dividend” - how population structures are shaping the future of the region; a new risk insurance mechanism designed to help stop pandemics like the 2014 West African Ebola outbreak; and how metadata from cell phone networks can be used to estimate measures of migration and poverty.
Just like the forest map, I’ve found each episode to be a peek into the rabbit hole of a new subject - I’ve learned how to better communicate about uncertainty, the economics of large scale renewable energy systems, and what the future of how data is produced and used may look like.
We’ve really enjoyed making the first series of this podcast and we hope you’ll tune in. The opening episode will be available on Tuesday April 4th - it’ll be posted here on The Data Blog, on the World Bank’s SoundCloud channel, and you can subscribe to “World Bank’s Podcasts” in your podcast app or on iTunes.
Household survey data constitute a cornerstone of the statistical toolkit for addressing the data needs for the monitoring of the Sustainable Development Goals (SDGs) on poverty and hunger. A seminar convened today by the FAO and the World Bank, under the aegis of the Inter-Agency and Expert Group on Food Security, Agricultural and Rural Statistics during the 48th Session of the UN Statistical Commission will provide chief statisticians of several low- and middle-income countries an opportunity to discuss a common agenda for fostering the adoption and implementation of a new set of guidelines for the measurement of food consumption data in household surveys.
Food constitutes a key component of a number of fundamental dimensions of well-being: food security, nutrition, health, and poverty. It makes up the largest share of total household expenditure in low-income countries, accounting on average for about 50 percent of the household budget. Low levels of food access contributed to an estimated 800 million individuals who were chronically undernourished in 2014-16.
Proper measurement of food consumption is therefore central to the assessment and monitoring of the well-being of any population, and to several development domains: social, economic, and human. Food consumption data are needed to monitor global and national goals including the SDGs. But the measurement of food consumption data is also crucial for assessing and guiding FAO’s mandate to eradicate hunger, food insecurity, and malnutrition, as well as the World Bank’s twin goals of eliminating extreme poverty and boosting shared prosperity.