The World Bank has launched a gender data portal:
Gender data are one of the most visited parts of our data site, and these new resources make it easier than ever to see our data’s gender dimensions. The country and topic dashboards give an overview of the distribution and trends in data across important themes, and the online tables and book are a useful reference for the most commonly accessed data.
Open Data, the World Bank blog, pulled four charts from the portal to illustrate gaps which still need to be closed.
Max Ehrenfreund of Wonkblog writes about a new study by former PSC trainee Geoffrey Wodke showing that more intelligent people are no more interested in supporting policies designed to improve racial equality (such as Affirmative Action or school busing):
When you get down to the brass tacks of dealing with racial prejudice, though, more intelligent people seem to tunnel back into the woodwork. The new study revealed that smarter respondents are no more likely to support specific policies designed to improve racial equality — even though they are more liberal on other issues and are more likely to see discrimination as a problem.
Jay Ulfelder, writing for FiveThirtyEight, argues that the widely held belief that economic inequality causes political upheaval is a difficult thing to prove:
Just because a belief is widely held, however, does not make it true. In fact, it’s still hard to establish with confidence whether and how economic inequality shapes political turmoil around the world. That’s largely because of the difficulty in measuring inequality; on this subject, the historical record is full of holes. Social scientists are busy building better data sets, but the ones we have now aren’t sufficient to make strong causal claims at the global level.
Philip Cohen’s response to the piece is on his blog, Family Inequality.
Philip Cohen, writing for the Family Inequality blog, has some concerns about the Case and Deaton paper showing that the mortality rate for middle-aged white men is rising: “My concern is that changes in the age and sex composition of the population studied could account for a non-trivial amount of the trends they report.”
The U.S. Census Bureau released a new interactive visualization which shows how race and ethnicity categories have changed since the first census.
From the Random Samplings blog post:
Over the years, the U.S. Census Bureau has collected information on race and ethnicity. The census form has always reflected changes in society, and shifts have occurred in the way the Census Bureau classifies race and ethnicity. Historically, the changes have been influenced by social, political and economic factors including emancipation, immigration and civil rights. Today, the Census Bureau collects race and ethnic data according to U.S. Office of Management and Budget guidelines, and these data are based on self-identification.
H/T: Data Detectives
The Pew Research Center released it’s new report “U.S. Public Becoming Less Religious“.
Ana Swanson of Wonkblog examines a new study by Nolan McCarty, John Voorheis and Boris Shor that shows that the growing ideological gap between Republicans and Democrats may be due in part to the widening gap between rich and poor.
By looking at extensive data on U.S. states over the last few decades, the researchers show that the widening gap between the rich and the poor in recent decades has moved state legislatures toward the right overall, while also increasing the ideological distance between those on the right and those on the left.
The paper is Unequal Incomes, Ideology and Gridlock: How Rising Inequality Increases Political Polarization
The Internal Revenue Service released migration data based on year-to-year address changes based on income tax returns filed with the IRS.
They present migration patterns by State or by county for the entire United States and are available for inflows—the number of new residents who moved to a State or county and where they migrated from, and outflows—the number of residents leaving a State or county and where they went.
H/T Data Detectives
The World Bank Open Data blog examines recent data from the United Nations Refugee Agency about the 60 million people currently forcibly displaced from their homes.
As we continue to see headlines and editorials almost every day about migrants and refugees, it’s not surprising when UNHCR reports that the number of forcibly displaced people has reached 60 million worldwide for the first time since World War II. This figure includes internally displaced people, refugees, and asylum seekers.
While many are on the move as refugees, others migrate willfully at rates that have also reached unprecedented levels. Below, I’ve explored some trends in regional, country- and economic-level migration and refugee data.