Variation in the Acceptability of Intimate Partner Violence in Sub-Saharan Africa

Bar graph showing percentages from five countries in Africa from 2011, 2012, 2013, or 2015 of women aged 15-49 who find it justified for a husband to beat his wife if she disagrees with him; Guinea has the highest percentage of 77.6%

Along with supplying information on the health of women and their children in low and middle income countries, the Demographic and Health Surveys supply essential information about the prevalence of, and attitudes toward, intimate partner violence. Figure 1 shows cross-country variation in the acceptability of intimate partner violence in selected Sub-Saharan African countries, based on the latest DHS surveys.

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IPUMS FAQs: Missing U.S. Counties

At IPUMS we try to address every user’s questions and suggestions about our data. It is just one feature that adds value to IPUMS data. Over time, many questions are often repeated. In this blog series, we will be sharing some of those frequently asked questions. Maybe you’ll learn something, or perhaps you’ll just find these interesting. Regardless, we hope you enjoy.

Why are there so many missing U.S. counties in my data?

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IPUMS FAQs: Becoming an Approved IPUMS User

At IPUMS we try to address every user’s questions and suggestions about our data. It is just one feature that adds value to IPUMS data. Over time, many questions are often repeated. In a new blog series, we will be sharing some of these frequently asked questions. Maybe you’ll learn something, or perhaps you’ll just find these interesting. Regardless, we hope you enjoy.

Here’s one of those questions:

Why do I have to apply for different projects? And When will my application be approved?

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IPUMS-International and IPUMS-DHS Stats Education Outreach

                      

As part of the 2017 Minnesota Population Center Diversity Fellowship program, the goal of our project—titled “IPUMS-International and IPUMS-DHS Stats Education Outreach”—was to develop exercises in basic statistics that were based on the IPUMS-International (census) and IPUMS-DHS (Demographic and Health Survey) datasets.

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