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December 2017

C4D2-Training: Working with regional statistics training centers to improve household surveys in Africa

Shelton Kanyanda's picture

Household surveys are an important source of development data, but in low- and middle-income countries the capacity to conduct and analyze them varies widely. To help address this issue, the World Bank’s Rome-based hub for innovation in household surveys and agricultural statistics—the Center for Development Data (C4D2)—and several Italian partners launched the C4D2 Training Program to increase the capacity of lecturers from statistical training centers in Africa to design and implement sound and modern household surveys.

Participants listening to a presentation by the Bank of Italy on Measuring Wealth

The Program’s first initiative, a week-long training course on “Designing Household Surveys to Measure Poverty” was held from November 27 to December 1 in Perugia, Italy, at facilities provided by the Bank of Italy. Participants included lecturers from the Eastern African Statistics Training Center, the Ecole Nationale Supérieure de Statistique et d'Economie Appliquée, and experts from the African Center for Statistics of the United Nations Economic Commission for Africa. Instructors included staff from the World Bank, the Bank of Italy, the Italian National Institute of Statistics, and the Italian Institute of Health. The Italian Agency for Cooperation and Development is providing funding for this initiative.

Chart: 100 Million People Pushed into Poverty by Health Costs in 2010

Tariq Khokhar's picture
Also available in: 中文 | Español | العربية | Français



Universal health coverage (UHC) means that all people can obtain the health services they need without suffering financial hardship. A new report produced by the World Bank and the World Health Organization, finds that health expenditures are pushing about 100 million people per year into “extreme poverty,” those who live on $1.90 or less a day; and about 180 million per year into poverty using a $3.10 per day threshold.

You can access the report, data, interactive visualizations, and background papers at: http://data.worldbank.org/universal-health-coverage/

Watch the Growth of Trade country-level data availability in TCdata360

Reg Onglao's picture

Note: This is the first blog of a series of blog posts on data availability within the context of TCdata360, wherein each post will focus on a different aspect of data availability.

With open data comes missing data. We know that all indicators are not created equal and some are better covered than others. Ditto for countries in which coverage can range from near universal such as the United States of America to very sparse indeed such as Saint Martin (French part).

TCdata360 is no exception. While our data spans across over 200 countries and 2000+ indicators, our data suffers from some of the same gaps as many other datasets do: uneven coverage and quality. With that basic fact in mind, we have set about exploring what our data gaps tell us — we have 'data-fied' our data gaps so to speak.

In the next few blogs we'll explore our data gaps to identify any patterns we can find within the context of the TCdata360 platform[1] — which countries and regions throw up surprises, which topics are better covered than others, which datasets and indicators grow more 'fashionable' when, and the like. In this first blog, we’ll look at data availability at the country level.

Is your country LGBTI inclusive? With better data, we’ll know

Clifton Cortez's picture

The World Bank is developing a global standard for measuring countries’ inclusion of LGBTI individuals.

They laughed in our faces … but then we showed them the data

By the early 1990s, Dr. Mary Ellsberg had spent years working with women’s health in Nicaragua. Armed with anecdotes of violence against women, she joined a local women’s organization to advance a bill criminalizing domestic violence.

When presented with the bill, lawmakers “pretty much laughed in our faces,” she explained in a 2015 TEDx talk. “They said no one would pay attention to this issue unless we got some ‘hard numbers’ to show that domestic violence was a problem.”

Dr. Ellsberg went back to school and wrote her doctoral dissertation on violence against women. Her study showed that 52% of Nicaraguan women had experienced physical or sexual abuse by an intimate partner. Subsequently, the Nicaraguan parliament unanimously passed the domestic violence bill.

Later, the World Health Organization used Dr. Ellsberg’s indicators to measure violence against women in countries across the world, which showed the global magnitude of the problem.

“One out of three women will experience physical or sexual abuse by her partner,” Dr. Ellsberg said. Because of the data, “violence against women is at the very top of the human rights agenda.”

Dr. Ellsberg knew that domestic violence was a problem, but it was data that prompted leaders to combat the issue.

Similarly, there are plenty of documented cases of discrimination and abuse against lesbian, gay, bisexual, transgender, and intersex (LGBTI) people. But what’s the magnitude of the discrimination?

Malawi’s Fourth Integrated Household Survey 2016-2017 & Integrated Household Panel Survey 2016: Data and documentation now available

Heather Moylan's picture
Malawi IHS4 Enumerator administering household questionnaire
using World Bank Survey Solutions
Photo credit: Heather Moylan, World Bank

The Malawi National Statistical Office (NSO), in collaboration with the World Bank’s Living Standards Measurement Study (LSMS), disseminated the findings from the Fourth Integrated Household Survey 2016/17 (IHS4), and the Integrated Household Panel Survey 2016 (IHPS), on November 22, 2017 in Lilongwe, Malawi. Both surveys were implemented under the World Bank Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) initiative, with funding from the United States Agency for International Development (USAID).

The IHS4 is the fourth cross-sectional survey in the IHS series, and was fielded from April 2016 to April 2017. The IHS4 2016/17 collected information from a sample of 12,447 households, representative at the national-, urban/rural-, regional- and district-levels.

In parallel, the third (2016) round of the Integrated Household Panel Survey (IHPS) ran concurrently with the IHS4 fieldwork. The IHPS 2016 targeted a national sample of 1,989 households that were interviewed as part of the IHPS 2013, and that could be traced back to half of the 204 panel enumeration areas that were originally sampled as part of the Third Integrated Household Survey (IHS3) 2010/11.

The panel sample expanded each wave through the tracking of split-off individuals and the new households that they formed. The IHPS 2016 maintained a 4 percent household-level attrition rate (the same as 2013), while the sample expanded to 2,508 households. The low attrition rate was not a trivial accomplishment given only 54 percent of the IHPS 2016 households were within one kilometer of their 2010 location.

Latest from the LSMS: New data from Malawi, measuring soil health & food consumption and expenditure in household surveys

Vini Vaid's picture

 

Message from Gero Carletto (Manager, LSMS)

A few weeks ago, I attended a meeting of the Committee for the Coordination of Statistical Activities (CCSA) in Muscat, Oman, where I joined a panel discussion on how global survey initiatives like the LSMS or Multiple Indicators Cluster Survey (MICS) can help us measure and monitor many of the SDG indicators. We also discussed how global initiatives like the UN Statistical Commission’s Inter-Secretariat Working Group on Household Surveys (ISWGHS) can help coordinate these efforts and position the household survey agenda within the global data landscape. Everyone seems to agree that monitoring more than 70 SDG indicators will require high-quality, more frequent, and internationally comparable household surveys. Yet, the narrative on household surveys continues to be lopsided. In my view, this is partly because strengthening traditional data sources like surveys and censuses is seen as outmoded and ineffective when compared with the more glittering promises offered by alternative data sources like Big Data.

At the risk of sounding like a luddite, I believe that it’s important for countries and donors alike to continue investing in household surveys to both validate and add value to new types of data. In many of the countries we work in, leapfrogging to the digital revolution without having gone through an analog evolution may be an ephemeral proposition. This in no way means that we should continue doing things the same way: during the past decade, household surveys have evolved dramatically, increasingly relying on technological innovation and new methods to make survey data cheaper, more accurate, and more policy relevant. Methodological and technological innovation remains at the core of the LSMS’s raison d’être and, together with our partners, we will continue pushing the frontier. Until more robust and fully validated alternatives materialize, household survey critics may want to recall the old saying, “Can’t live with ‘em, can’t live without ‘em!”

Chart: CO2 Emissions are Unprecedented

Tariq Khokhar's picture
Also available in: العربية | Español | Français

Global emissions of carbon dioxide, a major greenhouse gas and driver of climate change, increased from 22.4 billion metric tons in 1990 to 35.8 billion in 2013, a rise of 60 percent. The increase in emissions of CO2 and other greenhouse gases has contributed to a rise of about 0.8 degrees Celsius in the mean global temperature above pre-industrial times. Read more in the 2017 Atlas of Sustainable Development Goals
 

Chart: 16 of the 17 Warmest Years on Record Occurred Since 2001

Tariq Khokhar's picture
Also available in: العربية | Español | Français

Sixteen of the 17 warmest years in the 136-year record have occurred since 2001. The year 2016 ranks as the warmest on record. Recent analysis finds that climate change could push more than 100 million more people into poverty by 2030. But good development—­rapid, inclusive, and climate informed—­can prevent most of the impacts of climate change on extreme poverty by 2030.