Tag Archives: charts and graphs

The Pew report  Views of Nation’s Economy Remain Positive, Sharply Divided by Partisanship (2/7/2020) provides the answer:

Currently, 81% of Republicans and Republican-leaning independents say the economy is excellent or good. These views have changed only modestly over the past two years. But between November 2016 (just before Trump’s victory in the presidential election) and March 2017 the share of Republicans with a positive view of the economy approximately doubled, from 18% to 37%. And by November 2018, they had doubled again, to 75%.

By contrast, Democrats’ assessments of economic conditions have changed only modestly since before Trump took office. Currently, 39% of Democrats and Democratic leaners say conditions are excellent or good. In November 2016, 46% had a positive impression of the economy.

The graph here is one of five in the report. The methodology section has more details and could be used in a statistics course.

The article in Nature, Mapping 123 million neonatal, infant, and child deaths between 2000 and 2017, by Burstein et. el (10/16/2019), provides a detailed analysis of under 5 child mortality (U5mr).

The goal of mortality-reduction efforts is ultimately to prevent premature deaths, and not just to reduce mortality rates. Across the countries studied here, there were 3.5 million (41%) fewer deaths of children under 5 in 2017 than in 2000 (5.0 million compared to 8.5 million). At the national level, the largest number of child deaths in 2017 occurred in India (1.04 (0.98–1.10) million), Nigeria (0.79 (0.65–0.96) million), Pakistan (0.34 (0.27–0.41) million) and the Democratic Republic of the Congo (0.25 (0.21–0.31) million) (Fig. 3a).

The main article has four figure, but the supplementary materials contain another ~50 graphs, many of them spatial.

The PEW article Most Americans Say There Is Too Much Economic Inequality in the U.S., but Fewer Than Half Call it a Top Priority by Juliana Menasce Horowitz, Ruth Igielnik, and Rakesh Kochhar (1/9/2020)  is a thorough review of income and wealth inequality, as well as American’s views of inequality.  For example, the graph copied here shows the responses to if there is too much economic inequality by political affiliation.  A few highlights from the article:

From 1970 to 2018, the share of aggregate income going to middle-class households fell from 62% to 43%. Over the same period, the share held by upper-income households increased from 29% to 48%. The share flowing to lower-income households inched down from 10% in 1970 to 9% in 2018.

As of 2016, the latest year for which data are available, the typical American family had a net worth of $101,800, still less than what it held in 1998.

While a majority of Republicans overall (60%) say that people’s different choices in life contribute a great deal to economic inequality, lower-income Republicans (46%) are significantly less likely than Republicans with middle (63%) or higher (74%) incomes to say this.

There are numerous graphs in the article and a methodology section which points to the data sources.

To find the top charts of 2019 according to EPI see their Top charts of 2019 post.  The graph here is #5 on their list.

The figure shows that the real value of the federal minimum wage has dropped 17% since 2009 and 31% since 1968. A full-time worker earning the federal minimum wage today has about $6,800 less per year to spend on food, rent, and other essentials than did his or her counterpart 50 years ago.

There are 13 charts in all with data and links to the original article (for some charts you have to go to the original article to get the data).

The Climate.gov post Climate Change: Global Sea Level by Rebecca Lindsey (11/19/2019) notes:

Global mean sea level has risen about 8–9 inches (21–24 centimeters) since 1880, with about a third of that coming in just the last two and a half decades. The rising water level is mostly due to a combination of meltwater from glaciers and ice sheets and thermal expansion of seawater as it warms. In 2018, global mean sea level was 3.2 inches (8.1 centimeters) above the 1993 average—the highest annual average in the satellite record (1993-present)

There are other graphs and information in the post. For example, What’s causing sea level to rise?

Global warming is causing global mean sea level to rise in two ways. First, glaciers and ice sheets worldwide are melting and adding water to the ocean. Second, the volume of the ocean is expanding as the water warms. A third, much smaller contributor to sea level rise is a decline in the amount of liquid water on land—aquifers, lakes and reservoirs, rivers, soil moisture. This shift of liquid water from land to ocean is largely due to groundwater pumping.

There are links to data at the end of the post and NOAA also has sea level data that is accessible.

The St. Louis Fed post, Healthier Countries, if Not Wealthier Countries by Guillaume Vandenbroucke (12/26/2019) notes

The income gap between rich and poor countries doesn’t seem to be closing. In fact, it seems to be getting wider. However, the gaps between these groups of countries when it comes to health may indeed be narrowing.

For example, the graph copied here provides time series of GDP of high-income countries and Sub-Saharan African countries. The gap between the two cohorts has grown. Yet,

Not surprisingly, sub-Saharan African countries exhibit a lower life expectancy at birth and a higher crude death rate than the high-income countries. What is surprising, however, is that these measures of health are converging to that of the rich countries, unlike GDP per capita.

There are two other graphs in the post. The data is from the world bank and can be found.

The IEA report Nuclear Power in a Clean Energy System (May 2019) has this to say:

Nuclear power has avoided about 55 Gt of CO2 emissions over the past 50 years, nearly equal to 2 years of global energy-related CO2 emissions. However, despite the contribution from nuclear and the rapid growth in renewables, energy-related CO2 emissions hit a record high in 2018 as electricity demand growth outpaced increases in low-carbon power.

According to the chart copied here, nuclear energy generated more TWh then wind, solar, and other renewables combined in 2018. The report has eight charts with links to the data.

One section of NOAA’s Arctic Report Card: Update for 2019 is on Tundra Greenness.  The graph here from their report is for maximum NDVI:

Normalized Difference Vegetation Index (NDVI), which is sensitive to the unique properties of photosynthetically-active vegetation in the Red and Near Infrared wavelengths. NDVI is highly correlated with the quantity of aboveground vegetation, or “greenness,” of Arctic tundra (Raynolds et al. 2012).

The graph here shows an upward trend, but it’s complicated:

Arctic lands and seas have experienced dramatic environmental and climatic changes in recent decades. These changes have been reflected in progressive increases in the aboveground quantity of live vegetation across most of the Arctic tundra biome—the treeless environment encircling most of the Arctic Ocean. This trend of increasing biomass is often referred to as “the greening of the Arctic.” Trends in tundra productivity, however, have not been uniform in direction or magnitude across the circumpolar region and there has been substantial variability from year to year (Bhatt et al. 2013, 2017; Park et al. 2016; National Academies of Sciences, Engineering, and Medicine 2019). Sources of spatial and temporal variability in tundra greenness arise from complex interactions among the vegetation, atmosphere, sea-ice, seasonal snow cover, ground (soils, permafrost, and topography), disturbance processes, and herbivores of the Arctic system.

The report has two maps and another graph.

A 2016 article in Nature, The world’s road to water scarcity: shortage and stress in the 20th century and pathways towards sustainability by M. Kummu et. a., looks at water scarcity and shortages (The dotted red line in the graph copied here is the proportion of the population dealing with water scarcity issues. )

Due to increasing population pressure, changing water consumption behavior, and climate change, the challenge of keeping water consumption at sustainable levels is projected to become even more difficult in the near future^5,6.

The increases in population and per capita water consumption resulted in a total water consumption increase from 358 km³ yr⁻¹ in the 1900s to 1500 km³ yr⁻¹ in the 2000s (Fig. 1B).

The article has 6 figures and two data sets available (under electronic supplementary material – right side bar). The richness of the figures makes them useful in a QL or stats course.

A related article from National Geographic, The world’s supply of fresh water is in trouble as mountain ice vanishes by Alejandra Borunda (12/9/2019), discusses the impact of climate change on water supplied by glaciers.

The high mountains cradle more ice and snow in their peaks than exists anywhere else on the planet besides the poles. Over 200,000 glaciers, piles of snow, high-elevation lakes and wetlands: All in all, the high mountains contain about half of all the fresh water humans use.

The high mountains are warming faster than the world’s average; temperatures in the high Himalaya, for example, have crept up nearly 3.6 degrees Fahrenheit (2 degrees Celsius) since the beginning of the century, compared to a planetary average of just about 1.8 degrees F (1 degree C).

“120 million people live along the Indus,” says Immerzeel, “but the Indus plain is like a desert. It’s completely reliant on the water from the thick glaciers above.”

Of the five most important water towers in the world, three are in Asia: the Indus, the Tarim, and the Amu Darya.

The Brookings report Meet the low-wage workforce by Martha Ross and Nicole Bateman (11/7/19) provides demographics of the low-work force by category. The nine categories they use are represented in their chart copied here.  For example, cluster 1 are ages 18-24 are not in school and don’t have a college degree. They are 13% of the low-wage workforce. The post has links to the full report where we learn that this cohort is 51% White, 16% Black, 27% Latino or Hispanic, 2% Asian American, and 4% Other. Of this group, 14% didn’t graduate from high school.

There are regional differences:

Across more than 350 metro areas, the share of workers earning low wages ranges from 30% to 62% of the overall workforce. Low-wage workers are particularly concentrated in smaller places in the southern and western parts of the United States. They make up larger shares of the workforce in places with lower employment rates and that concentrate in agriculture, real estate, and hospitality.

The full report contains a number of data tables.