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Middle Class Shrinking… As Households Become Richer

Blog Post | Income & Inequality

Middle Class Shrinking… As Households Become Richer

A shrinking middle class can actually be a sign of growing prosperity.

The U.S. economy continues to do well, but many fear that economic expansion only benefits a few Americans, while leaving most households behind. As political analyst Juan Williams opined in The Hill earlier this year, “The rich got their Trump tax cut. GDP looks good. And the stock market is doing great for people with money to invest. But it is only the rich who get the big rewards in Trump’s economy. What about the middle class?”

The middle class, it turns out, is shrinking. But not because they are falling into poverty, as some might have you believe. Rather, it is shrinking because more people are “moving on up,” ascending into a higher income bracket — and living the American dream.

Since 2016, the United States has had more wealthy households than middle-class households and the share of low-income households has reached a historic low.

This is hardly a new trend. As I wrote in 2016, the middle class is shrinking due to growth in rich households. When I last wrote on that topic, though, there were still more middle-class households than rich households.

According to the most recent data from the U.S. Census Bureau, in 2018, over 30 percent of U.S. households earned over $100,000 (i.e., the upper class). Fewer than 30 percent of households earned between $50,000 and $100,000 (i.e., the middle class). The share of U.S. households making at least $100,000 has more than tripled since 1967, when just 9 percent of all U.S. households earned that much (all figures are adjusted for inflation).

In 2018, the share of households earning less than $50,000 (i.e., the lower class) dropped below 40 percent for the first time since the U.S. Census data on this metric started to be collected in 1967. Back then, 54 percent of households earned less than $50,000.

So the next time you hear someone allege that the economy is leaving an increasing share of American households behind or see a pundit bemoan the “shrinking middle class,” take a closer look at the data and keep in mind that a “shrinking middle class” may actually be a sign of growing prosperity.

Wall Street Journal | Household Income

US Incomes Climbed Last Year, Census Bureau Says

“Household incomes rose last year for the first time since the Covid-19 pandemic began, reflecting the effects of easing inflation and a strong job market.

The new data from the U.S. Census Bureau on Tuesday signaled an improvement in 2023 after inflation that spiked to a 40-year-high the prior year swallowed up household income gains.

Inflation-adjusted median household income was $80,610 in 2023, up 4% from the 2022 estimate of $77,540, the bureau said in its annual report card on households’ financial well-being. This move returned incomes to about where they were in 2019, the peak that was hit just before the pandemic.”

From Wall Street Journal.

Wall Street Journal | Wealth & Poverty

The Dramatic Turnaround in Millennials’ Finances

“The median household net worth of older millennials, born in the 1980s, rose to $130,000 in 2022 from $60,000 in 2019, according to inflation-adjusted data from the Federal Reserve Bank of St. Louis. Median wealth more than quadrupled to $41,000 for Americans born in the 1990s, which includes the generation’s youngest members, born in 1996. 

The turnaround has been so dramatic that millennials—mocked at times for being perpetually behind in building wealth, buying homes, getting married and having children—now find themselves ahead.

In early 2024, millennials and older members of Gen Z had, on average and adjusting for inflation, about 25% more wealth than Gen Xers and baby boomers did at a similar age, according to a St. Louis Fed analysis.”

From Wall Street Journal.

Blog Post | Energy & Natural Resources

The Simon Abundance Index 2024

The Earth was 509.4 percent more abundant in 2023 than it was in 1980.

The Simon Abundance Index (SAI) quantifies and measures the relationship between resources and population. The SAI converts the relative abundance of 50 basic commodities and the global population into a single value. The index started in 1980 with a base value of 100. In 2023, the SAI stood at 609.4, indicating that resources have become 509.4 percent more abundant over the past 43 years. All 50 commodities were more abundant in 2023 than in 1980.

Figure 1: The Simon Abundance Index: 1980–2023 (1980 = 100)

Graph highlighting the increase in the SAI over time, as resources have become 509.4 percent more abundant.

The SAI is based on the ideas of University of Maryland economist and Cato Institute senior fellow Julian Simon, who pioneered research on and analysis of the relationship between population growth and resource abundance. If resources are finite, Simon’s opponents argued, then an increase in population should lead to higher prices and scarcity. Yet Simon discovered through exhaustive research over many years that the opposite was true. As the global population increased, virtually all resources became more abundant. How is that possible?

Simon recognized that raw materials without the knowledge of how to use them have no economic value. It is knowledge that transforms raw materials into resources, and new knowledge is potentially limitless. Simon also understood that it is only human beings who discover and create knowledge. Therefore, resources can grow infinitely and indefinitely. In fact, human beings are the ultimate resource.

Visualizing the Change

Resource abundance can be measured at both the personal level and the population level. We can use a pizza analogy to understand how that works. Personal-level abundance measures the size of an individual pizza slice. Population-level abundance measures the size of the entire pizza pie. The pizza pie can get larger in two ways: the slices can get larger, or the number of slices can increase. Both can happen at the same time.

Growth in resource abundance can be illustrated by comparing two box charts. Create the first chart, representing the population on the horizontal axis and personal resource abundance on the vertical axis. Draw a yellow square to represent the start year of 1980. Index both population and personal resource abundance to a value of one. Then draw a second chart for the end year of 2023. Use blue to distinguish this second chart. Scale it horizontally for the growth in population and vertically for the growth in personal resource abundance from 1980. Finally, overlay the yellow start-year chart on the blue end-year chart to see the difference in resource abundance between 1980 and 2023.

Figure 2: Visualization of the Relationship between Global Population Growth and Personal Resource Abundance of the 50 Basic Commodities (1980–2023)

The figure shows a growth in the population and population level-resource abundance since 1980.

Between 1980 and 2023, the average time price of the 50 basic commodities fell by 70.4 percent. For the time required to earn the money to buy one unit of this commodity basket in 1980, you would get 3.38 units in 2023. Consequently, the height of the vertical personal resource abundance axis in the blue box has risen to 3.38. Moreover, during this 43-year period, the world’s population grew by 3.6 billion, from 4.4 billion to over 8 billion, indicating an 80.2 percent increase. As such, the width of the blue box on the horizontal axis has expanded to 1.802. The size of the blue box, therefore, has grown to 3.38 by 1.802, or 6.094 (see the middle box in Figure 2).

As the box on the right shows, personal resource abundance grew by 238 percent; the population grew by 80.2 percent. The yellow start box has a size of 1.0, while the blue end box has a size of 6.094. That represents a 509.4 percent increase in population-level resource abundance. Population-level resource abundance grew at a compound annual rate of 4.3 percent over this 43-year period. Also note that every 1-percentage-point increase in population corresponded to a 6.35-percentage-point increase in population-level resource abundance (509.4 ÷ 80.2 = 6.35).

Individual Commodity Changes: 1980–2023

As noted, the average time price of the 50 basic commodities fell by 70.4 percent between 1980 and 2023. As such, the 50 commodities became 238.1 percent more abundant (on average). Lamb grew most abundant (675.1 percent), while the abundance of coal grew the least (30.7 percent).

Figure 3: Individual Commodities, Percentage Change in Time Price and Percentage Change in Abundance: 1980–2023

Graph of the 50 basic commodities and there percentage change in time price vs abundance, where abundance has increased significantly as time price falls.

Individual Commodity Changes: 2022–2023

The SAI increased from a value of 520.1 in 2022 to 609.4 in 2023, indicating a 17.1 percent increase. Over those 12 months, 37 of the 50 commodities in the data set increased in abundance, while 13 decreased in abundance. Abundance ranged from a 220.8 percent increase for natural gas in Europe to a 38.9 percent decrease for oranges.

Figure 4: Individual Commodities, Percentage Change in Abundance: 2022–2023

Graph of the percentage change in abundance of the 50 commodities.

Conclusion

After a sharp downturn between 2021 and 2022, which was caused by the COVID-19 pandemic, government lockdowns and accompanying monetary expansion, and the Russian invasion of Ukraine, the SAI is making a strong recovery. As noted, since 1980 resource abundance has been increasing at a much faster rate than population. We call that relationship superabundance. We explore this topic in our book Superabundance: The Story of Population Growth, Innovation, and Human Flourishing on an Infinitely Bountiful Planet.

Appendix A: Alternative Figure 1 with a Regression Line, Equation, R-Square, and Population

Graph showing that even with population growth, the resource abundance shown by SAI has increased significantly.

Appendix B: The Basic 50 Commodities Analysis: 1980–2023

The figure shows the nominal price, time price, and resource abundance for various commodities from 1980 to 2023.

Appendix C: Why Time Is Better Than Money for Measuring Resource Abundance

To better understand changes in our standard of living, we must move from thinking in quantities to thinking in prices. While the quantities of a resource are important, economists think in prices. This is because prices contain more information than quantities. Prices indicate if a product is becoming more or less abundant.

But prices can be distorted by inflation. Economists attempt to adjust for inflation by converting a current or nominal price into a real or constant price. This process can be subjective and contentious, however. To overcome such problems, we use time prices. What is most important to consider is how much time it takes to earn the money to buy a product. A time price is simply the nominal money price divided by the nominal hourly income. Money prices are expressed in dollars and cents, while time prices are expressed in hours and minutes. There are six reasons time is a better way than money to measure prices.

First, time prices contain more information than money prices do. Since innovation lowers prices and increases wages, time prices more fully capture the benefits of valuable new knowledge and the growth in human capital. To just look at prices without also looking at wages tells only half the story. Time prices make it easier to see the whole picture.

Second, time prices transcend the complications associated with converting nominal prices to real prices. Time prices avoid subjective and disputed adjustments such as the Consumer Price Index (CPI), the GDP Deflator or Implicit Price Deflator (IPD), the Personal Consumption Expenditures price index (PCE), and the Purchasing Power Parity (PPP). Time prices use the nominal price and the nominal hourly income at each point in time, so inflation adjustments are not necessary.

Third, time prices can be calculated on any product with any currency at any time and in any place. This means you can compare the time price of bread in France in 1850 to the time price of bread in New York in 2023. Analysts are also free to select from a variety of hourly income rates to use as the denominator when calculating time prices.

Fourth, time is an objective and universal constant. As the American economist George Gilder has noted, the International System of Units (SI) has established seven key metrics, of which six are bounded in one way or another by the passage of time. As the only irreversible element in the universe, with directionality imparted by thermodynamic entropy, time is the ultimate frame of reference for almost all measured values.

Fifth, time cannot be inflated or counterfeited. It is both fixed and continuous.

Sixth, we have perfect equality of time with exactly 24 hours in a day. As such, we should be comparing time inequality, not income inequality. When we measure differences in time inequality instead of income inequality, we get an even more positive view of the global standards of living.

These six reasons make using time prices superior to using money prices for measuring resource abundance. Time prices are elegant, intuitive, and simple. They are the true prices we pay for the things we buy.

The World Bank and the International Monetary Fund (IMF) track and report nominal prices on a wide variety of basic commodities. Analysts can use any hourly wage rate series as the denominator to calculate the time price. For the SAI, we created a proxy for global hourly income by using data from the World Bank and the Conference Board to calculate nominal GDP per hour worked.

With this data, we calculated the time prices for all 50 of the basic commodities for each year and then compared the change in time prices over time. If time prices are decreasing, personal resource abundance is increasing. For example, if a resource’s time price decreases by 50 percent, then for the same amount of time you get twice as much, or 100 percent more. The abundance of that resource has doubled. Or, to use the pizza analogy, an individual slice is twice as large. If the population increases by 25 percent over the same period, there will be 25 percent more slices. The pizza pie will thus be 150 percent larger [(2.0 x 1.25) – 1].

Board of Governors of the Federal Reserve System | Economic Growth

Income Growth Over Five Generations of Americans

“We find that each of the past four generations of Americans was better off than the previous one, using a post-tax, post-transfer income measure constructed annually from 1963-2022 based on the Current Population Survey Annual Social and Economic Supplement.”

From Board of Governors of the Federal Reserve System.