When it comes to interactive data visualizations, I am a junky. I don’t mean the dime-a-dozen country maps showing the favorite baby name/band/movie/current fad for each state. I mean the kind that present information in a way that surprises me, even when I am relatively familiar with the data.
Today I spent quite a bit of time exploring this interactive chart of Jobs by State and Salary, created by Dr. Nathan Yau over at FlowingData. In this chart, Yau shows the number of people employed and the median income for all jobs in a state. The top image shows the occupations in Virginia with a median annual salary of roughly $33,000 or more highlighted in green.
Recently, I’ve been comparing a number of traits of metropolitan areas based on distance from the core. Here I’m looking at the average densities of each metro area as you travel outwards from the center, calculated using census blocks and 2010 short-form census data. I’ve graphed them in groups of three. Cities with a strong core will have high densities on the left (near the center) that fall off as you travel outwards. Cities whose densities fall off quickly on the right have clearer edges, while those that taper off slowly are more spread out. Click on the graphs to view them full screen.
First are the three major metro areas. Note that the Northern VA graph includes only Virginia census blocks, not the rest of the DC area. Northern VA has the largest population by far, with fairly high densities even several miles into the suburbs. Richmond has the smoothest curve. I used downtown Norfolk as the core for Hampton Roads, but the area’s polycentricity is obvious.
This week, the Demographics Research Group updated its profile of Virginia’s regions. The eight regions of the Commonwealth were identified by the Demographics Research Group based on proximity, geography, demographic characteristics and shared socioeconomic conditions. While there are many shared characteristics across Virginia’s regions, our profile shows that a number of differences exist as well.
Northern Virginia stands out the most among Virginia’s regions, but this is not a new trend as Charles Grymes notes on Virginia Places:
“Northern Virginia has been “different” ever since Lord Fairfax established a land office issuing Northern Neck deeds independently from the colonial government in Williamsburg”Continue reading →
Last week, the Bureau of Labor Statistics released results from the 2013 American Time Use Survey. This survey, administered every year for the last decade, asks respondents–selected from people who have recently completed the Current Population Survey–to keep a diary of how they spent their time for a full 24 hour period. These data allow us to understand something about the “average” day not only for the population overall, but also for various subgroups, such as the unemployed or elderly. As you read, consider: How helpful is information about the “average” respondent?
While there is a fair amount of data to mine, let’s start at the highest level, by looking at time use on an “average” weekday across all respondents:Perhaps most notable is the sheer amount of sleep people seem to be getting: apparently, a healthy 8.5 hours a night. Not bad!
…however. As detailed over at Wonkblog, it turns out that “sleeping” is what happens between getting into bed and getting out of bed, and also takes into account naps. This way of calculating sleep doesn’t differentiate between deep slumber and “dozing off to Netflix” (I know I’m not the only one). Similarly, things like “reading in bed” could feasibly occur during these otherwise allocated sleep hours.
And though 99.9 percent of all respondents reported that they slept at some point in the previous 24 hours, the time reported for other activities is averaged across everyone in the survey, whether they did or did not report them in their time-use “diary”. This is where we need to pay attention to what we mean by “average”. Continue reading →
No it’s not a party line. It’s an almost perfectly straight line running north-south along 16th Street, passing through the White House, and then continuing along the Potomac River to the south. It divides two very different sides of the DC area.
These graphs are a cross-section of the DC area that looks at how the city changes as you travel from the center to the periphery. I’ve split the graphs into two sides based on the east-west dividing line. You’ll notice the first one or two miles to the east are much like their western counterparts (this is essentially the area around Capitol Hill and the National Mall). After that, the two sides diverge pretty dramatically.Continue reading →
Much of the news that circulates regarding the state of education is not positive, but one trend that remains underreported is the significant rise in public high school graduation rates during the past decade. By the end of this month, around 85,000 high school seniors are expected to have graduated from Virginia’s public schools.That is nearly 8,000 more than would have been expected to graduate just a few years ago. Continue reading →
Children living in married parent families are less likely to live in or near poverty than children in unmarried (either single– or cohabiting) parent families. Some policy advocacy groups use this to argue that marriage is the “greatest weapon against child poverty” because of the additional economic and human capital marriage adds to a household, even though there is no clear agreement about the precise ways in which parent marital status and childhood poverty interact. In fact, critics of the marriage-as-remedy position argue that economic risk may play a part in both child poverty and in the reluctance of parents to marry. As a result, they argue that economic – not relational – measures are the keys to reducing poverty.
However, this concentrated focus on parent relationship status overlooks another form of family structure pertinent to the well-being of poor children: the residential extended family. These structures may allow families to pool economic and human resources to care for children and ameliorate the effects of tough economic circumstances. In 2011, one in ten Virginia children lived in a residential extended family.
Figure 1 — Children Living in Residential Extended Families by Type of Family
Drawing on our recent report, New Insights on Childhood Poverty, Annie and I published an op-ed in the Richmond Times-Dispatch over the weekend. In it we discussed the consequences of limiting the conversation about childhood poverty to children with single parents:
…focusing the conversation about childhood poverty exclusively on children of single parents renders invisible the largest group of children in economic insecurity: those whose parents have already taken a trip down the aisle. It turns out that the face of economic insecurity may, in contrast to the broader narrative, be a child supported by married parents.
As detailed in our report, one in three Virginia children live in economic insecurity. Almost half, the largest group, live with married parents.