This blog is intended to go along with Population: An Introduction to Concepts and Issues, by John R. Weeks, published by Cengage Learning. The latest edition is the 13th (it will be out in January 2020), but this blog is meant to complement any edition of the book by showing the way in which demographic issues are regularly in the news.

You can download an iPhone app for the 13th edition from the App Store (search for Weeks Population).

If you are a user of my textbook and would like to suggest a blog post idea, please email me at: john.weeks@sdsu.edu

Friday, October 5, 2018

More Demographic Resources at the Local Level

Thanks to Meredith Gerhardt for linking me to a great source of data about communities in the U.S., based on a compilation of data largely drawn from the Census Bureau. It's called Data USA and it is funded by Deloitte Touche, a global consulting firm. Here's the background they provide:
In 2014, Deloitte, Datawheel, and Cesar Hidalgo, Professor at the MIT Media Lab and Director of Collective Learning, came together to embark on an ambitious journey -- to understand and visualize the critical issues facing the United States in areas like jobs, skills and education across industry and geography. And, to use this knowledge to inform decision making among executives, policymakers and citizens.
Data USA puts public US Government data in your hands. Instead of searching through multiple data sources that are often incomplete and difficult to access, you can simply point to Data USA to answer your questions. Data USA provides an open, easy-to-use platform that turns data into knowledge. It allows millions of people to conduct their own analyses and create their own stories about America – its people, places, industries, skill sets and educational institutions. Ultimately, accelerating society’s ability to learn and better understand itself.
The opening page puts the data at your fingertips when you type in a place name:


When you add this to the OpportunityAtlas.org set of data and the USALEEP neighborhood life expectancy project, your ability to know about local demographics and to compare your place with others is all of a sudden genuinely amazing.

Wednesday, October 3, 2018

Citizenship Questions on Census Won't Be Good For Anyone

Thanks to PAA President Wendy Manning for the link to an Op-Ed piece in the NYTimes by demographer William Frey, discussing the likely negative consequences for everyone of adding the citizenship question to the full count 2020 census. Remember that the consensus among everyone--based especially on past field experiments by the Census Bureau--is that the presence of this question on the census form will reduce the response rate among not just non-citizens, but also among other members of households in which there is a non-citizen. The Trump administration likes this idea because it would increase the percentage of the counted population (which determines Congressional Redistricting) that is non-Hispanic White. But here's the bigger set of problems laid out by Frey:
If it is added to the census form, the citizenship question will distort our understanding of who resides in the country. What this selective underenumeration will not do is make America’s growing racial minority populations disappear. The losers from this undercount include members of Mr. Trump’s older white base, who will suffer from lost investments in a younger generation, whose successes and contributions to the economy will be necessary to keep America great.
The demographic trends make this plain. America’s white population is growing tepidly because of substantial declines among younger whites. Since 2000, the white population under the age of 18 has shrunk by seven million, and declines are projected among white 20-somethings and 30-somethings over the next two decades and beyond. This is a result of both low fertility rates among young whites and modest white immigration — a trend that is not likely to change despite Mr. Trump’s wish for more immigrants from Norway.
Let's face it, what we really need is to make sure that everyone has the resources to succeed in society, so that we all are better off. As I recently noted, this process starts at the neighborhood level, and the best way to get rid of the us/them dichotomy that we have fallen into is to bring everyone into the mainstream. That's obviously not easy, but the longer we sit on our hands, the harder it will be. 

Monday, October 1, 2018

Your Neighborhood Shapes Your Children's Lives

I recently blogged about a new website that uses vital statistics data to calculate the life expectancy in your neighborhood. Well, closely related to your health and mortality is your income and overall level of economic well-being. Today the Census Bureau unveiled another very important website that can track the chances of children in your neighborhood being in or out of poverty--with all of the implications that has for their lives. The NYTimes picked up on the announcement:
The research has shown that where children live matters deeply in whether they prosper as adults. On Monday the Census Bureau, in collaboration with researchers at Harvard and Brown, published nationwide data that will make it possible to pinpoint — down to the census tract, a level relevant to individual families — where children of all backgrounds have the best shot at getting ahead.
This work, years in the making, seeks to bring the abstract promise of big data to the real lives of children. Across the country, city officials and philanthropists who have dreamed of such a map are planning how to use it. They’re hoping it can help crack open a problem, the persistence of neighborhood disadvantage, that has been resistant to government interventions and good intentions for years.
“That’s exciting and inspiring and daunting in some ways that we’re actually talking about real families, about kids growing up in different neighborhoods based on this data,” said the Harvard economist Raj Chetty, one of the project’s researchers, along with Nathaniel Hendren at Harvard, John N. Friedman at Brown, and Maggie R. Jones and Sonya R. Porter at the Census Bureau.
Be sure to click on all of the links above, because this is really important work. As with the life expectancy website, this is spatial demography at its very best. 

Friday, September 28, 2018

What's the Life Expectancy in Your Neighborhood?

Thanks to Professor RubĂ©n Rumbaut for linking me to an incredibly interesting story about a new resource that shows the life expectancy in your own neighborhood, and allows you to compare your neighborhood with other areas near or distant from you. The project is called "United States Small Area Life Expectancy Estimate Project" (USALEEP) and it is coordinated by the CDC's National Center for Health Statistics and the National Association for Public Health Information Systems with funding from the Robert Wood Johnson Foundation.
These new data are available to everyone via the easy-to-use interactive tool available above. Typing in your street address reveals the average life expectancy for a baby born in your census tract or area, if current death rates do not change. You can then compare your area to nearby neighborhoods or communities, to county- and state-level data, as well as the national average. If you have a neighbor down the street who happens to live in a different census tract, your results might even be different, which we hope will spark some conversation about the differences in conditions and opportunities for health where we live. Ultimately, we hope this will inspire residents and leaders to work together to close the gaps these data illuminate.
Here's what the entry pad looks like (don't try to click on this--it's just a picture)--go here for the real thing:


I typed in my address and was surprised in a very pleasant way to see that the life expectancy at birth in my census tract is 87.20, which is higher than San Diego County in general (81.43), which is higher than California in general (80.90), which is higher than the national average of 78.80 (these are rates for both sexes combined). The concern is obviously in finding those places that are below average, and then to figure out why they are low when other places are high. These kinds of spatial inequalities in life expectancy have become an increasing cause of concern, as I noted most recently a few months ago. To be sure, a map of life expectancy by county in the United States that I blogged about four years ago, has a geographic pattern that is very similar to the recent map I posted of counties still feeling the long-term negative impact of slavery.

Wednesday, September 26, 2018

Demographic Legacy of Slavery in the United States

The latest issue of Demography has a fascinating research article by Thor Berger of the Department of Economic History & Centre for Economic Demography at Lund University in Sweden. This is an open access article so you can read the whole thing for yourself. The article is titled "Places of Persistence: Slavery and the Geography of Intergenerational Mobility in the United States" and shows us the lasting effects of slavery on intergenerational economic mobility in the United States. This is not a pretty story and it is interesting to me that the research was carried out by a Swedish demographer, rather than an American demographer. Here is the map that summarizes a major point of his research:

And here is his conclusion:
A key contribution of this article is to document that the present-day geography of intergenerational mobility in the United States largely reflects the historical distribution of slavery, with substantially less upward mobility in areas with a higher share of slaves by the outbreak of the Civil War. Based on a variety of empirical strategies, the evidence suggests that this relationship is causal. Exploiting differences reported by Chetty and Hendren (2016a, 2016b) in observed mobility rates for children whose families move across CZs to identify the place-based component of upward mobility suggests that this relationship does not arise mainly from sorting of families across CZs; rather it reflects a causal effect of place.
And what is his theory about the underlying cause? Fragile families:
More fragile family structures in areas that had more prevalent slavery is seemingly the most important for understanding why these places produce significantly worse mobility outcomes today. Although these results are suggestive, they should be interpreted carefully because of the extremely challenging task of identifying the wide variety of causal transmission mechanisms that may link slavery to present-day differences in mobility. Further work is necessary for understanding how these differences emerged and the extent to which they link the past to the present.
For more on this idea, see my review of Isabel Sawhill's book, Generation Unbound...