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 World. The 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.
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.
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.
The 10th Edition of Knocking at the College Door (Dec 2020) is a report produced by WICHE:
The latest edition of Knocking at the College Door includes projections of high school graduates through the Class of 2037. These data include projections for the nation, regions, and 50 states and DC for public and private high school graduates. Additionally, these data include projections of public high school graduates by race/ethnicity.
Their graph here is for U.S. High School Graduates but they also have predictions for regions, census divisions, and state here. The data also includes projections based on race and ethnicity:
For several editions now, WICHE has projected increasing diversification of high school graduating classes. The projections presented here continue this trend, with an ever-increasing proportion of students of color. This increase is primarily driven by an increase in the number of Hispanic and multiracial graduates.
All the data is available for download.
The United States Drought Monitor provides weekly updates of drought in the U.S. Maps such as the one here can be downloaded. For classroom use there is a data page where full data sets can be downloaded including GIS data. There is also an interactive time series graph.
From NOAA’s Global Climate Report – November 2020:
The combined global average temperature over the land and ocean surfaces for November 2020 was 0.97°C (1.75°F) above the 20th century average of 12.9°C (55.2°F). This was the second warmest November in the 141-year global record, behind the record warm November set in 2015 (+1.01°C / +1.82°F).
According to NCEI’s regional analysis, Oceania had its warmest November on record, with a temperature departure from average of +2.06°C (+3.71°F). This value shattered the previous record of 1.85°C (3.33°F) by 0.21°C (0.38°F).
Australia had its warmest November in the nation’s 111-year record with a national mean temperature departure of +2.47°C (+4.45°F). This surpassed the now second highest November temperature set in 2014 by 0.40°C (0.72°F).
So far this year:
The January–November 2020 global temperature was the second highest on record at 1.00°C (1.80°F) above average and only 0.01°C (0.02°F) shy of tying the record set in 2016. According to NCEI’s Annual Rankings Outlook, there is a 54% chance of 2020 ending as the warmest year on record.
Time series data is available near the top of the page.
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.
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.
The climate.gov article A warm pool in the Indo-Pacific Ocean has almost doubled in size, changing global rainfall patterns by Alison Stevens (12/3/2020) is your primer on the Indo-Pacific warm pool.
Due to human-caused climate change, our planet’s ocean has been heating up at a rate of 0.06 degrees C (0.11 degrees F) per decade over the past century. But this warming isn’t uniform. In fact, recent NOAA-funded research shows that a large pool of the ocean’s warmest waters, stretching across the Indian and west Pacific Oceans, has grown warmer and almost doubled in size since 1900. This expanding warm pool not only impacts ocean life; according to the study, it is driving changes in the Madden Julian Oscillation (MJO), a key weather and climate pattern, and in regional rainfall around the globe.
Here is how it works:
The warming is uneven across the region, with greater warming in the west Pacific. This unevenness creates a temperature contrast that enhances cloud-forming winds, moisture, and energy over the region, and it draws in warm moist air from the Indian Ocean. The uneven expansion of the Warm Pool has warped the MJO—a global pattern of clouds, wind, rain and pressure, active in the winter, that starts over the Indian Ocean and travels eastward around the tropics in 30-60 days. Though the total lifespan of its global trek has stayed the same, the study finds that the MJO’s clouds and rain now spend 3-4 fewer days over the Indian Ocean and 5-6 more days over the Maritime Continent and west Pacific, fueled by heat and moisture where the warming is greater.
The first link in the quote above is to global ocean temperature data.
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$1.90, US$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 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.