Tag Archives: inequality

Are teachers being paid fairly?

An August 2016 report by EPI, The teacher pay gap is wider than ever (8/9/16 by Allegretto and Mishel), suggests not. For instance, the graph here shows that teachers are paid 23% less than other college graduates in 2015 and the gap has been increasing since 1980.

Average weekly wages (inflation adjusted) of public-sector teachers decreased $30 per week from 1996 to 2015, from $1,122 to $1,092 (in 2015 dollars). In contrast, weekly wages of all college graduates rose from $1,292 to $1,416 over this period.

For all public-sector teachers, the relative wage gap (regression adjusted for education, experience, and other factors) has grown substantially since the mid-1990s: It was ‑1.8 percent in 1994 and grew to a record ‑17.0 percent in 2015.

The report includes 8 graphs with data plus two tales. There are comparisons between females and males, as well as union and non-union.

What is known about world income inequality?

The World Inequality Report 2018 provides a complete summary of world income inequality.  The executive summary contains thirteen charts to explore such as the one here.

The poorest half of the global population has seen its income grow significantly thanks to high growth in Asia (particularly in China and India). However, because of high and rising inequality within countries, the top 1% richest individuals in the world captured twice as much growth as the bottom 50% individuals since 1980 (Figure E4). Income growth has been sluggish or even zero for individuals with incomes between the global bottom 50% and top 1% groups. This includes all North American and European lower- and middle-income groups.

The executive summary also notes:

Research has demonstrated that tax progressivity is an effective tool to combat inequality. Progressive tax rates do not only reduce post-tax inequality, they also diminish pre-tax inequality by giving top earners less incentive to capture higher shares of growth via aggressive bargaining for pay rises and wealth accumulation. Tax progressivity was sharply reduced in rich and some emerging countries from the 1970s to the mid-2000s. Since the global financial crisis of 2008, the downward trend has leveled off and even reversed in certain countries, but future evolutions remain uncertain and will depend on democratic deliberations. It is also worth noting that inheritance taxes are nonexistent or near zero in high-inequality emerging countries, leaving space for important tax reforms in these countries.

The methodology page includes files with all the data.

How do NYC securities employee bonuses compare to U.S. household income?

Statista has your answer with their post Wall Street Bonuses Outpace Household Income  (3/28/18 by Dyfed Loesche) and their chart here.

Compared to the average U.S. household income this is quite some money, keeping in mind these are payments on top of the regular pay. In 2016, the average Wall Street bonus stood at close to $158,000 and thus 2.5 times as high as the median household income of a little more than $59,000. (The U.S. Census Bureau has not yet released official household figures for 2017). The average number of people living in an American household stands at 2.5.

The post has links to the median household data as well as the bonuses. Not only is this useful data for a stats course, but there is also an interesting discussion to be had on the use of mean and median in this post.

What is the connection between race and generational income mobility?

The recent paper, Race and Economic Opportunity in the United States: An Intergenerational Perspective, by the Equal Opportunity Project, has the answer and makes the data available.  The executive summary has seven key findings, here are three:

Finding #1: Hispanic Americans are moving up in the income distribution across generations, while Black Americans and American Indians are not.

Finding #2: The black-white income gap is entirely driven by differences in men’s, not women’s, outcomes.

Finding #6: Within low-poverty areas, black-white gaps are smallest in places with low levels of racial bias among whites and high rates of father presence among blacks.

There is something in this paper to challenge everyone’s views at some point. For example,

We find analogous gender differences in other outcomes: black-white gaps in high school completion rates, college attendance rates, and incarceration are all substantially larger for men than for women. Black women have higher college attendance rates than white men, conditional on parental income.

At the bottom of the executive summary are links to data, slides, and the full paper. You can go directly to the data here.

Is wage inequality growing?

The EPI article, The State of American Wages 2017 by Elise Gould, has a full summary of growing wage inequality. A few of their key findings:

From 2000 to 2017, wage growth was strongest for the highest-wage workers, continuing the trend in rising wage inequality over the last four decades.

While wage inequality has generally been on the rise for both men and women, wage inequality is higher and growing more among men than among women.

At every decile and at the 95th percentile, wage growth since 2000 was faster for white and Hispanic workers than for black workers.

This is an in depth article with over 30 bullet points of key findings. There are numerous graphs, such as the on posted here, with data sets. The cumulative graph here is broken into female and male graphs farther down in the article. What you will find is that, for example, the increase in the median wages is almost entirely due to increases in the median female wage (7.9% since 2000).  There is a lot to learn in this post and plenty of material for courses.

 

How well is the world achieving its Sustainable Development Goals – gender equity edition?

You can find out with Our World in Data’s Sustainable Development Goals tracker.

In 2015 the world set a new sustainable development agenda, pledging within the United Nations (UN) to achieve 17 development goals by 2030: The Sustainable Development Goals (also known as The Global Goals). Ranging from eradicating poverty, to ensuring clean energy for all, to reaching sustainable levels of consumption, the array of targets across these goals were selected to drive our efforts in the 15 years up to 2030.

Our World in Data has data for all 17 goals on their SDG page.  For example, their Goal 5: Achieve gender equality and empower all women and girls page has 24 charts including the one posted here on unmet need for contraception. As is always the case with Our World in Data, each chart has easy access to the data and you can download their graphs.

How does income inequality differ by country over time?

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.

Is America’s nutritional divide due to food deserts?

In a recent article by Richard Florida, It’s Not the Food Deserts: It’s the Inequality, the case is made that food deserts aren’t the real problem.

Instead of within cities, the biggest geographic differences in the way Americans eat occur across regions. The map above plots the geography of healthy versus unhealthy eating across America’s 3,500-plus counties. Dark red indicates a lower health index based on grocery purchases, while light yellow represents a higher health index. While there is some variation within cities and metro areas, by far the biggest and most obvious differences are across broad regions of the country.

Ultimately, the fundamental difference in America’s food and nutrition has more to do with class than location. More than 90 percent of the difference in Americans’ nutritional inequality is the product of socioeconomic class, according to the study. And it’s not just that higher-income Americans have more money to spend on food. In fact, the cost of healthy food is not as prohibitively high as people tend to think. While healthy food costs a little bit more than unhealthy food, most of that is driven by the cost of fresh produce.

The article has useful graphs and summary statistics and can be used in  QL or statistics based course.

What do you know about historical unemployment by race?

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.

How has adult death rates changed by U.S. state?

The PRB (Population Reference Bureau) post, Declines in Adult Death Rates Lag in the U.S. South, answers the question with interactive graphs.

Adult death rates in many southern states are 30 percent or 40 percent higher than in states with the lowest death rates. The growing geographic disparity means that adults (ages 55+) in the worst-off southern states can expect to die three to four years earlier, on average, than their counterparts in states with the lowest death rates.

The graphs show death rates by state and state rankings for both females and males, from 1980 to 2015.  There is a clear trend.

In 2015, all of the states with the highest female death rates (ages 55+) were located in the South. In 1980, by comparison, the five states with the highest female death rates included Louisiana, New Jersey, New York, Ohio, and Pennsylvania.

The set of graphs are perfect for a QL course. The data, cited in the post, is from the CDC which could make for a regression based statistics project.