Are COVID-19 deaths moving to the rest of the U.S.?

TPM put together a number of graphs comparing the NYC metro area to the rest of the country in their article Distinguishing the NYC Metro Outbreak from the Rest of the Country by Josh Marshall (5/6/2020).

The NYC metro area was hit early and hard by COVID-19, but will it end up a unique hot spot in the U.S. or will the rest of the country be hit similarly? Given the size of the U.S. we really can’t even compare U.S. states to European countries. Time will tell, but this data is worth keeping in mind.

The data for COVID-19 deaths by county in the U.S. from Johns Hopkins is here. The data is updated daily.

 

How has U.S. population changed since 2010?

The Census Bureau report Last Census Population Estimates of the Decade (4/6/2020) has a great interactive graphic of U.S. population change for each state. The image here is what it looks like and if you scroll over a state the data is highlighted in the other graphs. Overall,

The U.S. population was at 328.2 million on July 1, 2019, up 0.48% since July 1, 2018. Growth has slowed every year since 2015, when the population increased 0.73% relative to the previous year.

The three states with the most growth were Texas (3,849,790), Florida (2,673,173) and California (2,257,704). The District of Columbia had the highest percentage change (17.3%), followed by Utah, Texas and Colorado.

Four states have lost population since the 2010 Census: Vermont (-1,748), Connecticut (-8,860), West Virginia (-60,871) and Illinois (-159,751).

The article and graphic are an excellent QL resources. Also, the data is cited at the bottom and the Census Bureau posts all of its data.

How hot was March 2020?

From the NOAA Global Climate Report – March 2020:

Averaged as a whole, the global land and ocean surface temperature for March 2020 was 1.16°C (2.09°F) above the 20th century average of 12.7°C (54.9°F) and the second highest in the 141-year record. Only March 2016 was warmer at 1.31°C (2.36°F). The 10 warmest Marches have all occurred since 1990, with Marches of 2016, 2017, 2019, and 2020 having a global land and ocean surface temperature departure from average above 1.0°C (1.8°F). The March 2020 global land and ocean surface temperature departure tied with February 2020 and December 2015 as the third highest monthly temperature departure from average in the 1,683-month record. Only February and March 2016, when a strong El Niño was present in the tropical Pacific Ocean, had higher temperature departures.

Data for the graph here.

How does C-19 deaths compare to other causes of deaths in the U.S.?

Here is an excellent animated visualization of daily deaths of C-19 as compared to other leading causes of deaths in the U.S. This chart stops at April 14. According to Worldometers here are the number of daily deaths from April 15 through April 22: 2618, 2176, 2538, 1867, 1561, 1939, 2804, 2341. Note that C-19 maintains the top spot except for one day, which was April 19. On April 21 the 2804 deaths represent nearly 60% more deaths than the second leading cause, heart disease.

How do we know 12,000 years of climate?

The Climate.gov article Nature’s archives: piecing together 12,000 years of Earth’s climate story by Alison Stevens (4/15/2020) provides an overview of paleoclimate proxies and links to a new database of these records.

Paleoclimate proxies indirectly record climate and atmospheric conditions present when they formed or grew; air bubbles in ice cores sample past carbon dioxide levels, pollen and undecayed plant matter reveal growing conditions, and the ratio of oxygen isotopes in marine fossils indicate ocean temperatures. Proxies can come from all over the world — from glaciers in Antarctica to the tropical oceans — and compiling them into datasets can help place today’s warming climate into the context of a longer history.

The article links to the Nature post A global database of Holocene paleotemperature records with the data source at NOAA’s Temperature 12k Database.

 

Urban/Rural Red/Blue?

FiveThirtyEight has the interesting graph copied here from their article How Urban or Rural is Your State? And What Does That Mean For The 2020 Election? by Nathaniel Rakich (4/14/2020). How did they measure urbanization?

Essentially, we calculated the average number of people living within a five-mile radius of every census tract and took the natural logarithm to create an “urbanization index,” or a calculation of how urban or rural a given area is.

The article has a table of data that goes with the graph and they look at the 2020 election if urbanization dictated the outcome.

How have wages grown since 1979?

The EPI article State of Working America Wages 2019 by Elise Gould (2/20/2020) provides a detailed summary of wage growth. For example, copied here is the third of over 20 charts. Note that he bottom 10 percent is barely above 0 and only recently got there. A related fact from their previous  chart:

 As shown in Figure B, the top 1% of earners saw cumulative gains in annual wages of 157.8% between 1979 and 2018—far in excess of economywide productivity growth and over six times as fast as average growth for the bottom 90% (23.9%). Over the same period, top 0.1% earnings grew 340.7%.

Each chart has avaialbe data.

 

What is a gigatonne of ice?

The picture here is a snapshot from an animation by NASA in the article Visualizing the Quantities of Climate Change – Ice Sheet Loss in Greenland and Antarctica by Matt Conlen (3/9/2020) that shows a gigatonne of ice. A gigatonne isn’t much since

Satellite data show that Greenland and Antarctica are losing mass at a rate of 283 gigatonnes per year and 145 gigatonnes per year, respectively.

There are three animations one for 1 gigatonne, 5,000 gigatonnes (about the amount lost from the polar ice caps from 2002-2017), and 49,000 gigatones (estimate of the amount lost in the 20th century). Each animation also has an associated math box for the related calculation.

Who has the highest Gini of G7 countries?

The Pew article 6 facts about economic inequality in the U.S. by Katherine Schaeffer (2/7/2020) provides the chart copied here (2017 data). One of the other facts mentioned in the article:

In 1989, the richest 5% of families had 114 times as much wealth as families in the second quintile (one tier above the lowest), at the median $2.3 million compared with $20,300. By 2016, the top 5% held 248 times as much wealth at the median. (The median wealth of the poorest 20% is either zero or negative in most years we examined.)

There are 6 (surprise) charts and the data is cited. Great QL article.