Our World in Data has an interactive chart that compares income inequality with gini coefficients. For example the chart here has the United States, United Kingdom, France, Germany, Netherlands, and Japan (you can select other countries too). Of these six countries the U.S. has greater income inequality than the other five. It has also grown considerably since the mid 1970s. As always with Our World in Data, you can download the data set so it can be used in statistics courses. You can also download graphs, such as the one here.
We can answer this question by using FRED. The accompanying graph was created with FRED’s graphing tool (see below for a quick tutorial on creating this graph), which creates an interactive graph that can be downloaded along with the data. The blue line represents total manufacturing jobs, which consistently decreases during a recession (gray bands). Manufacturing jobs peaked in 1979 at just below 20 million and now stand at about 12.5 million. The red line provides another perspective and represents the percent of manufacturing jobs relative to all employment. In the 1940s manufacturing represented almost 40% of all employment. It has been decreasing ever since and today it is down to around 8.5%.
How to create the graph: Start by searching FRED for manufacturing employment. You should get this. On the upper right click edit graph and then add line (second button on top). Search employment and click on All Employees: Total Nonfarm Payrolls. Add the data series. Go to format (third button across the top) and click right under y-axis position for LINE 2. Now go to edit line 2 (first button across the top). Under customize data search manufacturing. Click All Employees: Manufacturing. In formula type b/a. Now click add next to All Employees: Manufacturing. This does it. FRED offers a powerful tool.
The data, from the U.S. Bureau of Labor Statistics, and a graph by FRED can enlighten you. FRED has Black, Hispanic, and White unemployment data since 1973. Here we downloaded the graph since the end of the 2008 recession. At its peak (about March 2010) Black unemployment (16.8%) was about twice that of White (8.9%), while Hispanic unemployment was about 50% greater at 12.9%. Currently, Dec 1017, the spread isn’t as bad but the relationships still exists with unemployment rates at 6.8% (Black), 4.9% (Hispanic), and 3.7% (White). The FRED graph is interactive and you can download the data.
Kevin Drum has the answer with his post Black Incomes Have Fallen Further Behind Whites for the Entire 21st Century.
Black men have made essentially no progress in the past four decades, while black women have fallen considerably further behind. Since 2000, both both men and women have fallen further behind their white counterparts.
There are two other graphs and he notes:
Black households made income and wealth gains up through about 2000, but since then have gone backwards. Any way you look at this, the gap between blacks and whites has gotten worse throughout the entire 21st century. Anyone who doesn’t understand why the African-American community has seemingly become more despairing of racial progress lately should take a look at this.
The data for the graph here comes from FRED. If you haven’t used FRED it is an excellent resource. To get you started with FRED by comparing black vs white earnings (not separated by gender) go here and then click on edit graph. Add the series LEU0252883700Q under customize data. Then under formula type a/b. You should get the graph below. You can then download the data and graph.
According to NOAA’s article, Assessing the U.S. Climate in 2017, it was the third hottest year on record for the U.S. It also wasn’t an El Nino year. In summary,
This was the third warmest year since record keeping began in 1895, behind 2012 (55.3°F) and 2016 (54.9°F), and the 21st consecutive warmer-than-average year for the U.S. (1997 through 2017). The five warmest years on record for the contiguous U.S. have all occurred since 2006.
For the third consecutive year, every state across the contiguous U.S. and Alaska had an above-average annual temperature. Despite cold seasons in various regions throughout the year, above-average temperatures, often record breaking, during other parts of the year more than offset any seasonal cool conditions.
The article has other useful graphs and information, including a summary for December. Related data is linked to their Climatological Rankings page.
According to the 3rd chart of EPI’s Top Charts of 2017, U.S. minimum wage would be $19.33 per hour if it grew at the same rate as productivity. If it simply grew at the rate of average workers it would be $11.62 per hour.
The expectation that the minimum wage rise in step with broader trends in the economy would not have been unreasonable for previous generations—that was the trend throughout the 1950s and 1960s. Today’s minimum wage workers have been harmed both by the failure to raise the minimum wage in step with pay for typical workers and by the huge and growing gap between these nonsupervisory wages and economy-wide productivity. The Raise the Wage Act of 2017 would raise the federal minimum wage to $15 by 2024. Such a raise would certainly bring the pay of minimum wage workers closer to providing a decent quality of life, even though it would still fall short of what the economy could have delivered for low-wage workers over the past 50 years.
All twelve of EPI’s Top Charts of 2017 include data and you can download the chart.
The EPI provides evidence for yes in the 6th of their top charts of 2017, The racial wealth gap is the clearest legacy of past discrimination in housing markets. Their chart shows the differences for mean and median household wealth for black and white households. They key is housing:
Besides facing discrimination in employment and wages, black families historically have been shut out of the most important wealth-building market: housing. Overall, home equity makes up about two-thirds of all wealth for the typical household. In short, for median families, the racial wealth gap is overwhelmingly a housing wealth gap. And this housing wealth gap is no accident; it is the outcome of intentional policies at all levels of government, in particular housing policies that prevented blacks from acquiring land, created redlining and restrictive covenants, and encouraged lending discrimination. These policies created and reinforced the racial wealth gap we are still struggling to address.
You can download the data and graph for all of EPI’s top charts of 2017.
Find out by going to Climate Central’s post, See How Much Winters Have Been Warming in Your City. The winner is Burlington, Vermont, with about 7 degrees F of warming since 1970 (graph here from the post). There is a drop down menu where you can select from most major cities in the U.S. They don’t provide the data, unfortunately, but they do provide a clear methodology so that you can create the data set for your city. You can get weather data from NOAA Climate Data Online. There is great potential here for student projects in statistics courses.
The Economic Policy Institute has the answer with their post Latina workers have to work 10 months into 2017 to be paid the same as white non-Hispanic men in 2016. They compare not only wages by percentile (graph here), but also compare by occupation and education.
Much of these differences are grounded in the presence of occupational segregation. Latina workers are far more likely to be found in certain low-wage professions than white men are (and less common in high-wage professions). But, even in professions with more Latina workers, they still are paid less on average than their white male colleagues.
As Hispanic women increase their educational attainment, their pay gap with white men actually increases. The largest dollar gap (more than $17 an hour), occurs for workers with more than a college degree.
The EPI post includes downloadable graphs (such as the one here) as well as the data.
King tides occur when the sun is closest to the earth and aligned with the moon. For the northern hemisphere this happens in the fall. The picture here from the climate.gov post, King tides cause flooding in Florida in fall 2017, is from October,17 2016 at Brickell Bay Drive and 12th Street in downtown Miami.
While the celestial mechanisms that cause these king tides are not changing anytime soon, the water levels of the oceans are. This means that as the sun and moon tug away at the ocean, they are tugging at an ever-larger amount of water, dragging more of it on-shore than they did during previous decades’ king tides.
The article includes the graph here of maximum daily water levels during king tides near Miami, with a regression line. The trend shows a water level increase of almost 10 inches since 1994. To get the data go to the Tides and Current page from NOAA, click on the pin by Miami, and then click on the station home page. Under the tides/water level tab go to water level. There is some work involved in the settings to get the data, but there is really interesting data available.