The series comes from the 'Current Employment Statistics (Establishment Survey).'

The source code is: CES0500000034

Index of Aggregate Weekly Hours: Production and Nonsupervisory Employees: Total Private Industries

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Total Population: All Ages including Armed Forces Overseas

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#### Customize data:

Write a custom formula to transform one or more series or combine two or more series.

You can begin by adding a series to combine with your existing series.

Now create a custom formula to combine or transform the series.

Need help? []

For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses {(,)}, and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

Finally, you can change the units of your new series.

**Enter date as YYYY-MM-DD**

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**Source:**
U.S. Bureau of Labor Statistics

**Release:**
Employment Situation

**Units:**
Index 2002=100, Seasonally Adjusted

**Frequency:**
Monthly

#### Notes:

Indexes of aggregate weekly hours are calculated by dividing the current month's aggregate hours by the average of the 12 monthly figures, for the base year. For basic industries, the hours aggregates are the product of average weekly hours and employment of workers to which the hours apply (all employees or production and nonsupervisory employees). At all higher levels of industry aggregation, hours aggregates are the sum of the component aggregates.

The series comes from the 'Current Employment Statistics (Establishment Survey).'

The source code is: CES0500000034

#### Suggested Citation:

U.S. Bureau of Labor Statistics, Index of Aggregate Weekly Hours: Production and Nonsupervisory Employees: Total Private Industries [AWHI], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/AWHI, July 28, 2017.

**Source:**
U.S. Bureau of the Census

**Release:**
National Population Estimates

**Units:**
Thousands, Not Seasonally Adjusted

**Frequency:**
Monthly

#### Notes:

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.

#### Suggested Citation:

U.S. Bureau of the Census, Total Population: All Ages including Armed Forces Overseas [POP], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/POP, July 28, 2017.

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