Tag Archives: data source

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.


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.


C-19, counts or per capita?

The media tends to focus on the number C-19 deaths in a country, but per capita provides a better understanding of the impact in a country.  The Our World in Data page Coronavirus Disease (COVID-19) – Statistics and Research page has interactive graphs for per capita deaths. For example, currently Italy is over 7,500 deaths, but I didn’t put Italy on the chart because they are at 113 deaths per million and that made it hard to see the other countries I selected. In fact, Spain is at 3,650 deaths and 58 deaths per million was also left off.

Italy, currently the worst case scenario, broke 1 death per million on March 4. The U.S. is nearly 3 weeks behind breaking 1 death per million on March 22. China, despite over 3,000 deaths has kept the per capita deaths to 2.25 per million. I’d also argue that deaths are more accurate confirmed cases, since confirmed cases depend on the testing regime.

The data is available for download on the Our World in Data page.

How hot was February 2020?

From NOAA’s Global Climate Report  – February 2020:

Averaged as a whole, February 2020 was near-record warm with a global land and ocean surface temperature departure from average of 1.17°C (2.11°F) above the 20th century average. Only February 2016 was warmer.

The February 2020 temperature departure from average was also the third highest monthly temperature departure from average for any month in the 1,682-month record. Only March 2016 (+1.31°C / +2.36°F) and February 2016 (+1.26°C / +2.27°F) had a higher temperature departure.

This means that the February 2020 global land and ocean surface temperature departure from average was the highest monthly temperature departure without an El Niño present in the tropical Pacific Ocean, surpassing the previous record set only last month (January 2020).

The data is available for the graph copied here. Click on Temperature Anomalies Time Series for February.


Who posts C-19 data?

If you are looking for COVID-19 data there are two good resources. The first is the Our World in Data Cornonavirus page by Max Roser, Hannah Ritchie, and Esteban Ortiz-Ospina. They have a number of interactive graphs, such as the one copied here where you can select countries to view, that are updated daily.

The second source is the GitHub page CSSEGISandData maintained at Johns Hopkins. They have three csv files that are updated daily which are confirmed, deaths, and recovered. The data is maintained down to the county level is some places.

How have counties grown since the great recession?

The Washington Center for Equitable Growth article New measure of county-level GDP gives insight into local-level U.S. economic growth by Raksha Kopparam (12/16/2019) provides the map copied here.

Making GDP a more useful metric may require peeling it apart and looking at the data more closely. On December 12, the U.S. Department of Commerce’s Bureau of Economic Analysis released a new measure of economic growth that does just this—Local Area Gross Domestic Product. LAGDP is an estimate of GDP at the county level between the years of 2001—2018. This measure allows policymakers and economists alike to examine local-level economic conditions and responses to economic shocks and recovery.

The new data measurement shows that private-sector industries across the nation have experienced growth since the end of the Great Recession in mid-2009, yet most of this growth is concentrated in the West Coast states and parts of the Midwest.

The article has three other maps two of which are growth based on the tech sectors and manufacturing. Each graph has a url citation for the data.



How did minimum wage increases impact wage growth?

This graph from the EPI post Low-wage workers saw the biggest wage growth in sates that increased their minimum wage between 2018 and 2019 by Elise Gould (3/4/2020) answers part of the question. It is worth noting that:

Strong wage growth at the 10th percentile is not simply due to stronger overall wage growth in those states.

Between 2018 and 2019, the median and 80th percentile wage in states with minimum wage changes increased 0.7% and 1.5%, respectively, while they increased 2.1% and 2.4%, respectively, in non-changing states.

There are three other graphs in the article and each has a link to data.