Tag Archives: charts and graphs

How well are we vaccinating?

Our World in Data now has a vaccinations as part of their Coronavirus Pandemic Data Explorer. As you can see the U.S. is doing relatively well. Now, Israel is doing much better than anyone and they aren’t on the graph because it makes it hard to see the rest of the countries selected here. Kevin Drum noted this is his post today The US is Doing OK on COVID-19 Vaccinations. He notes (referencing roughly the same graph here):

Why do I keep posting charts like this? Because we’ve spent way too much time on doom and gloom about how incompetently we’ve rolled out the COVID-19 vaccine. With the well-known exception of Israel, we’re doing as well or better than anyone else. If we’re incompetent, then the entire world is incompetent.

You can download the data from the Our World in Data page.

How hot was December 2020?

From NOAA’s Global Climate Report – December 2020:

The global land and ocean surface temperature for December 2020 was 0.78°C (1.40°F) above the 20th century average and the eighth highest departure from average for December in the 1880–2020 record. Compared to recent months, this value was the smallest monthly temperature departure during 2020 and the smallest monthly temperature departure since February 2018.

However, compared to all Decembers, this was the seventh highest December percentage since records began in 1951. Meanwhile, the most notable cooler-than-average conditions were present across parts of southern Asia, where temperatures were at least 2.0°C (3.6°F) below average. Other notable cooler-than-average conditions were present across the tropical Pacific Ocean, where La Niña was present during December 2020. However, no land or ocean areas had record-cold December temperatures.

The time series data is available in the box on the top center of the page under Temperature Anomalies Time Series.

How big are new single family homes?

The Census Bureau report New Single-Family Homes Sold Not as Large as They Used to Be by Philip Thompson (12/21/2020) notes:

The average square footage of new homes sold in the United States increased from 2,457 in 2010 to 2,724 in 2015 but dropped in 2019 to 2,518, according to the U.S. Census Bureau’s Characteristics of New Housing.

Note that the title is bit misleading based on the first sentence of the article. Homes are smaller than in 2015 but still larger than in 2010. Interestingly (also see graph)

Despite the decline in average square footage, the share of homes with four bedrooms or more that were sold increased from 41% in 2010 to 49% in 2019.

Now, note the switch to comparing to 2010 as the number of 4+ bedroom homes is down from 2015. Plenty to explore here for stats/QL class, for instance what is the relationship between home size and the number of bedrooms?

The link in the first quote brings you to a page with numerous xls files of data about homes. The article has four other graphs.

What book do I Recommend?

I’ve never done a book recommendation before and that changes today. If you are looking for a book that has about 75 excellent graphs and uses paleoclimatology data to connect changing climate as it impacts society during the time period of roughly 1200 to 1500, then I recommend Bruce M. S. Campbell’s book The Great Transition – Climate, Disease and Society in the Late-Medieval WorldThe book connects modern science along with data and graphs to tell the story of medieval Europe. I can certainly see this book being used in some form of interdisciplinary seminar or a data science course where student work to reproduce the graphs (of course, you can just read the book for fun). The book pointed me toward the Paleoclimatology Datasets posted at NOAA. The is a lot of data here and it takes some work to get what you might want, but it is a valuable resource.

What ten things should we know?

Kevin Drum provides an answer is his post the Top Ten Things You Might Not Know But Probably Should (12/31/2020) and each one has a graph. I copied the graph from 3, The Federal Judiciary Is About the Same As It’s Always Been:

The Supreme Court gets all the attention, but the vast majority of judicial decisions that make a difference in our lives either start or end in circuit courts. Here’s what that looks like:

It’s true that Donald Trump has appointed a lot of circuit court judges, but many of them simply replaced other conservative judges. The upshot of all this is that far from being unusually dominated by Republicans, the circuit courts today are less Republican than the 40-year average of 54 percent.

His sources are cited so you can likely track down the data.

What are the projections for northeast high school graduates?

The last post, What are the projections for high school graduates? provided national high school graduation rates from WICHE. I noted in that post that regional data and reports are available along with race and ethnicity. The graph here (for public high school only) is from the report for the northeast  (use the drop down menu to select northeast). There is a wealth of information and available data in the WICHE report.

How has COVID-19 changed geographically?

The Pew article The Changing Geography of COVID-19 in the U.S. by Bradley Jones and Jocelyn Kiley provides data about the geographic impact of COVID-19:

Early in the course of the pandemic, the health impacts were felt most severely in dense urban centers. From March to May, congressional districts in the most urbanized parts of the country were experiencing about five times as many deaths on average compared with those in the least dense parts of the country, and in some places this disparity was much larger.

However, by the summertime the urban-rural split had largely disappeared, and over the last several months, those districts with small shares of residents in densely populated places have been experiencing twice as many deaths as those in the parts of the country where all or nearly all residents live in urban neighborhoods.

The article has an interactive graphic of the U.S. with COVID-19 deaths by congressional district over time, along with a few other tables and graphs. There is also a longer report that can be downloaded.

How are the top 0.1% doing?

The EPI article Wages for the top1% skyrocketed 160% since 1979 while the share of wages for the bottom 90% shrunk by Lawrence Mishel and Jori Kandra (12/1/2020) reports:

As Figure A shows, the top 1.0% of earners are now paid 160.3% more than they were in 1979. Even more impressive is that those in the top 0.1% had more than double that wage growth, up 345.2% since 1979 (Table 1). In contrast, wages for the bottom 90% grew only 26.0% in that time.

The top 0.1% go off the chart. There are two other tables of data nd the data for the chart copied here is available.

How many people live in poverty?

It depends on what we mean by poverty.  The World Bank blog post A quarter of the world lives in societal poverty by Marta Schoch, Dean Mitchell Joliffe, & Christoph Lakner (12/2/2020):

Measures of absolute poverty, such as poverty at the US$1.90US$3.20 and the US$5.50 international poverty lines, have the advantage of remaining fixed (in constant dollars), allowing one to measure poverty against the same benchmark over time and across countries. However, when countries set their own national poverty lines, they typically increase the real value of these lines as their economies evolve.

The absolute poverty line  misses the fact that “the ability to participate in society is costlier in richer countries.”  So,

In 2018, the World Bank introduced a Societal Poverty Line (SPL),

The SPL is a hybrid line, combining the US$1.90-a-day absolute poverty line with a relative component that increases as median consumption or income in an economy rises.

The SPL is the max of US$1.90 and US$1+ 0.5*median, where median is the daily median income or consumption per capita in the household survey.

The is more information and other graphs in the article.