1000000000*All Sectors; Debt Securities and Loans; Liability, Level/(Personal Consumption Expenditures: Chain-type Price Index*Total Population: All Ages including Armed Forces Overseas*10)

Source: Board of Governors of the Federal Reserve System (US)  

Release: Z.1 Financial Accounts of the United States  

Units:  Millions of U.S. Dollars, Not Seasonally Adjusted

Frequency:  Quarterly, End of Period

For more information about the Flow of Funds tables, see the Financial Accounts Guide.
With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights.
In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer provided by the source.

Source: U.S. Bureau of Economic Analysis  

Release: Personal Income and Outlays  

Units:  Index 2017=100, Seasonally Adjusted

Frequency:  Monthly

BEA Account Code: DPCERG

The Personal Consumption Expenditures Price Index is a measure of the prices that people living in the United States, or those buying on their behalf, pay for goods and services. The change in the PCE price index is known for capturing inflation (or deflation) across a wide range of consumer expenses and reflecting changes in consumer behavior. For example, if the price of beef rises, shoppers may buy less beef and more chicken.

The PCE Price Index is produced by the Bureau of Economic Analysis (BEA), which revises previously published PCE data to reflect updated information or new methodology, providing consistency across decades of data that's valuable for researchers. They also offer the series as a Chain-Type index, as above. The PCE price index is used primarily for macroeconomic analysis and forecasting.

The PCE Price index is the Federal Reserve’s preferred measure of inflation. The PCE Price Index is similar to the Bureau of Labor Statistics' consumer price index for urban consumers. The two indexes, which have their own purposes and uses, are constructed differently, resulting in different inflation rates.

For more information on the PCE price index, see:
U.S. Bureau of Economic Analysis, Guide to the National Income and Product Accounts of the United States (NIPA)
U.S. Bureau of Economic Analysis, Personal Consumption Expenditures Price Index
U.S. Bureau of Economic Analysis, Prices & Inflation
U.S. Bureau of Labor Statistics, Differences between the Consumer Price Index and the Personal Consumption Expenditure Price Index

Source: U.S. Census Bureau  

Release: National Population Estimates  

Units:  Thousands, Not Seasonally Adjusted

Frequency:  Monthly

The intercensal estimates for 1990-2000 for the United States population are produced by converting the 1990-2000 postcensal estimates prepared previously for the U. S. to account for differences between the postcensal estimates in 2000 and census counts (error of closure). The postcensal estimates for 1990 to 2000 were produced by updating the resident population enumerated in the 1990 census by estimates of the components of population change between April 1, 1990 and April 1, 2000-- births to U.S. resident women, deaths to U.S. residents, net international migration (incl legal & residual foreign born), and net movement of the U.S. armed forces and civilian citizens to the United States. Intercensal population estimates for 1990 to 2000 are derived from the postcensal estimates by distributing the error of closure over the decade by month. The method used for the 1990s for distributing the error of closure is the same that was used for the 1980s. This method produces an intercensal estimate as a function of time and the postcensal estimates,using the following formula: the population at time t is equal to the postcensal estimate at time t multiplied by a function. The function is the April 1, 2000 census count divided by the April 1, 2000 postcensal estimate raised to the power of t divided by 3653.