Technical Notes Tables


Table 2-A. Summary of methods for computing industry statistics on employment, hours and earnings estimates

Table 2-B. Net Birth/Death Estimates, Post-Benchmark 2009

Table 2-Ca. Employment benchmarks and approximate coverage of BLS employment and payrolls sample, March 2009

Table 2-Cb. Total private employment by size of UI, September 2008 UI universe employment

Table 2-Cc. Total private CES sample employment by UI size, September 2008

Table 2-D. Errors of preliminary employment estimates

Traditionally the variance tables have displayed the standard error and relative standard error for all employees and the hours and earnings of production employees. The tables were expanded for the 2009 benchmark to include the new all employee hours and earnings series, as well as production employees and women employees. The tables are now listed on three separate pages, one each for all employees and their associated hours and earnings, production employees and their hours and earnings, and women employees. The tables on each page include the relative standard error (formerly Table 2-E) at first and second closing and standard errors for 1-, 3-, and 12-month level changes (formerly Table 2-F) at first and second closing. These new pages are accessible using the links below.

All Employee Standard Error Tables

Prodution Employee Standard Error Tables

Women Employee Standard Error Tables


Table 2-A. Summary of methods for computing industry statistics on employment, hours and earnings estimates
Employment, hours, and earnings Basic estimating cell (industry, 6-digit published level) Aggregate industry level (super sector and, where stratified, industry) Annual average data

All employees

All employee estimate for previous month multiplied by weighted ratio of all employees in current month to all employees in previous month, for sample establishments that reported for both months, plus net birth/death model estimate. Sum of all employee estimates for component cells. Sum of monthly estimates divided by 12.

Average weekly hours of all employees

All employee hours divided by number of all employees. Average, weighted by all employees, of the average weekly hours for component cells. Annual total of aggregate hours (all employees multiplied by average weekly hours) divided by annual sum of all employees.

Average weekly overtime hours of all employees

All employee overtime hours divided by number of all employees. Average, weighted by all employees, of the average weekly overtime hours for component cells. Annual total of aggregate overtime hours (all employees multiplied by average weekly overtime hours) divided by annual sum of all employees.

Average hourly earnings of all employees

All employee payroll divided by all employee hours. Average, weighted by aggregate hours, of the average hourly earnings for component cells. Annual total of aggregate payrolls (all employees multiplied by weekly hours and hourly earnings) divided by annual aggregate hours.

Average weekly earnings of all employees

Product of all employee average weekly hours and all employee average hourly earnings. Product of all employee average weekly hours and all employee average hourly earnings. Sum of monthly all employee aggregate payrolls divided by the sum of monthly all employees.

Production or nonsupervisory employees, women employees

All employee estimate for current month multiplied by (1) weighted ratio of production or nonsupervisory employees to all employees in sample establishments for current month, or (2) weighted ratio of women employees to all employees. Sum of estimates of (1) production or nonsupervisory employees, or (2) women employees, for component cells. Sum of monthly estimates divided by 12.

Average weekly hours of production or nonsupervisory employees

Production or nonsupervisory employee hours divided by number of production or nonsupervisory employees. Average, weighted by production or nonsupervisory employment, of the average weekly hours for component cells. Annual total of aggregate hours (production or nonsupervisory employment multiplied by average weekly hours) divided by annual sum of production employment .

Average weekly overtime hours of production or nonsupervisory employees

Production employee overtime hours divided by number of production employees. Average, weighted by production employment, of the average weekly overtime hours for component cells. Annual total of aggregate overtime hours (production employment multiplied by average weekly overtime hours) divided by annual sum of production employment.

Average hourly earnings of production or nonsupervisory employees

Total production or nonsupervisory employee payroll divided by total production or nonsupervisory employee hours. Average, weighted by aggregate hours, of the average hourly earnings for component cells. Annual total of aggregate payrolls (production or nonsupervisory employment multiplied by weekly hours and hourly earnings) divided by annual aggregate hours.

Average weekly earnings of production or nonsupervisory employees

Product of production employee average weekly hours and production employee average hourly earnings. Product of production employee average weekly hours and production employee average hourly earnings. Sum of monthly aggregate payrolls divided by the sum of monthly production employees.

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Table 2-B. Net Birth/Death Estimates, Post-Benchmark 2009 (in thousands)
Mining & logging Construction Manufacturing Trade, transportation, & utilities Information Financial activities Professional & business services Education & health services Leisure & hospitality Other services Monthly amount contributed

2009

April -1 22 -14 8 -4 -5 35 9 73 3 126

May

1 41 4 26 3 8 11 7 78 7 186

June

1 24 3 15 0 5 10 -11 80 6 133

July

2 -8 -14 -9 -3 -9 -4 2 38 -5 -10

August

1 12 5 17 5 4 18 10 23 3 98

September

1 7 1 15 0 3 0 13 -41 1 0

October

2 -2 -6 16 2 6 41 31 -39 -1 50

November

0 -17 1 3 1 -1 2 8 -19 -1 -23

December

0 -21 1 12 3 12 2 6 7 3 25

Cumulative total

7 58 -19 103 7 23 115 75 200 16 585

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Table 2-Ca. Employment benchmarks and approximate coverage of BLS employment and payrolls sample, March 2009
Industry Employment Benchmarks (in thousands) Sample coverage
Unemployment Insurance counts (UI)(1) Number of establishments(1) Employees
Number (in thousands)(2) Percent of benchmark employment level

Total

131,175 124,555 383,843 38,476,076 29

Mining and logging

714 1,078 2,381 150,152 21

Construction

5,950 10,473 12,139 509,623 9

Manufacturing

12,112 9,720 16,552 2,931,962 24

Trade, transportation, and utilities

24,873 21,507(3) 116,594(3) 6,457,286 26

Information

2,860 2,437 13,755 688,427 24

Financial activities

7,814 6,788 50,348 1,676,187 21

Professional and business services

16,554 18,129 39,397 2,788,041 17

Education and health services

19,230 13,632 38,091 5,263,173 27

Leisure and hospitality

12,748 14,172 38,620 2,169,984 17

Other services

5,360 5,706 10,313 367,522 7

Government

22,960 22,789 45,672 15,473,719 67

(1)Counts reflect active sample reports. Because not all establishments report payroll and hours information, hours and earnings estimates are based on a smaller sample than are the employment estimates.

(2) Employment of reported values for March 2009.

(3) The Surface Transportation Board provides a complete count of employment for Class I railroads plus Amtrak. A small sample is used to estimate hours and earnings data.

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Table 2-Cb. Total private universe employment by size of UI, September 2008
Size class Percent of all UIs Percent of Employment

1 (0-9 employees)

69.9 11.3

2 (10-19 employees)

14.3 8.8

3 (20-49 employees)

9.5 13.7

4 (50-99 employees)

3.3 11.1

5 (100-249 employees)

2.0 15.0

6 (250-499 employees)

0.6 10.6

7 (500-999 employees)

0.2 7.8

8 (1000+ employees)

0.2 21.7

Total

100 100

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Table 2-Cc. Total private CES sample employment by size of UI, September 2008
Size class Percent of all sample UIs Percent of sample employment

1 (0-9 employees)

28.9 0.4

2 (10-19 employees)

15.0 0.9

3 (20-49 employees)

18.4 2.5

4 (50-99 employees)

11.7 3.6

5 (100-249 employees)

11.8 8.3

6 (250-499 employees)

5.8 9.4

7 (500-999 employees)

3.1 10.1

8 (1000+ employees)

5.3 64.8

Total

100 100

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Table 2-D. Errors of preliminary employment estimates
Industry Root-mean-square error of monthly level(1) Mean percent revision
Actual Absolute

Total

74,100 0 0

Total private

46,400 0 0

Government

42,000 0 0.1

Federal

7,100 0 0.2

Federal, except U.S. Postal Service

6,200 0 0.2

U.S. Postal Service

3,900 0 0.1

State government

21,400 0.1 0.3

State government education

19,400 0 0.6

State government, excluding education

6,800 0.1 0.2

Local government

30,800 0 0.1

Local government education

30,500 0 0.2

Local government, excluding education

7,800 0 0.1

(1)The root-mean-square error is the square root of the mean squared error. The mean squared error is the square of the difference between the final and preliminary estimates averaged across a series of monthly observations.

NOTE: Errors are based on differences from January 2005 through October 2009.

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Last Modified Date: February 5, 2010