The U.S. personal saving rate stood at 3.7% in January of 2017, a bit lower than its 10-year average of 5.5% and well below the recent five-year high of 11% in December 2012.1
The personal saving rate is the federal government’s estimate of what percent of their incomes U.S. households are saving. But market watchers and economists are mixed on what can be learned from swings in the saving rate.
Why Economists Struggle
They struggle with the personal saving rate because it’s a derivative number — that is, it’s not measured directly. Instead, the Bureau of Economic Analysis derives the saving rate from other estimates. Here’s how it’s calculated:2
- The Bureau of Economic Analysis subtracts payroll and income taxes from personal income to get disposable personal income.
- The Bureau then subtracts its estimate of personal outlays — expenditures, interest payments, and payments — from disposable personal income to get an estimate of personal saving.
- The Bureau concludes by dividing personal income — the number the Bureau started with — by personal saving.
As currently structured, the U.S. Personal Saving Rate does not include capital gains from the sale of land or financial assets in its estimate of personal income. This effectively excludes capital gains — an important source of income for some.
Gaining Insight
Gaining a bit of insight into a popular economic indicator can help you better understand trends as they are discussed in newspapers and websites. However, don’t let your long-term savings program be influenced by a national number.
Economic Indicator?
The personal saving rate fluctuates with the country’s economic environment.
Sources: Bureau of Economic Analysis, June 2017; for the period January 1, 2007 through January 1, 2017.
Fast Fact: Other Measure. Some economists prefer to track gross national savings as a percent of gross domestic product. In 2016, the gross national savings of the U.S. was 18.6%, well below the world average of 26.8%.
Source: Central Intelligence Agency, 2017
1,2. Bureau of Economic Analysis, 2017
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