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News Release Information

22-633-PHI
Friday, April 08, 2022

Contacts Technical information: Media contact:

Pittsburgh Area Employment – February 2022

Total nonfarm employment for the Pittsburgh, PA, metropolitan area increased by 29,800 over the year in February, the U.S. Bureau of Labor Statistics reported today. (See chart 1 and table 1.) Regional Commissioner Alexandra Hall Bovee noted that the local rate of job growth, 2.8 percent, compared to the 4.9-percent national increase. (All data in this release are not seasonally adjusted; accordingly, over-the-year analysis is used throughout.)

  Chart 1. Over-the-year net change for total nonfarm employment in the Pittsburgh metropolitan area
Industry employment

In Pittsburgh, PA, leisure and hospitality added 15,000 of the 29,800 jobs gained. (See chart 2.)

Within this supersector, accommodation and food services accounted for an increase of 13,300 jobs. The 17.8-percent growth in the metropolitan area’s leisure and hospitality supersector compared to the 17.4 increase on a national level.

  Chart 2. Over-the-year net change for private-industry supersector employment in the Pittsburgh metropolitan area

The Metropolitan Area Employment and Unemployment release for March 2022 is scheduled to be released on April 27, 2022, at 10:00 a.m. (ET).

Changes to Current Employment Statistics Data

Effective with this news release, all nonfarm payroll employment estimates for areas presented in tables 1 and 2 have been adjusted to 2021 benchmark levels in accordance with standard practices. Not seasonally adjusted data beginning with April 2020 were subject to revision. Some series may have been revised as far back as 1990.


Technical Note

This release presents nonfarm payroll employment estimates from the CES program. The CES survey is a Federal-State cooperative endeavor between State employment security agencies and the U.S. Bureau of Labor Statistics.

Definitions. Employment data refer to persons on establishment payrolls who receive pay for any part of the pay period which includes the 12th of the month. Persons are counted at their place of work rather than at their place of residence; those appearing on more than one payroll are counted on each payroll. Industries are classified on the basis of their principal activity in accordance with the 2017 version of the North American Industry Classification System.

Method of estimation. CES State and Area employment data are produced using several estimation procedures. Where possible these data are produced using a "weighted link relative" estimation technique in which a ratio of current-month weighted employment to that of the previous-month weighted employment is computed from a sample of establishments reporting for both months. The estimates of employment for the current month are then obtained by multiplying these ratios by the previous month's employment estimates. The weighted link relative technique is utilized for data series where the sample size meets certain statistical criteria. For some employment series, the estimates are produced with a model that uses direct sample estimates (described above) combined with other regressors to decrease volatility in estimation.

Annual revisions. Employment estimates are adjusted annually to a complete count of jobs, called benchmarks, derived principally from tax reports which are submitted by employers who are covered under state unemployment insurance (UI) laws. The benchmark information is used to adjust the monthly estimates between the new benchmark and the preceding one and also to establish the level of employment for the new benchmark month. Thus, the benchmarking process establishes the level of employment, and the sample is used to measure the month-to-month changes in the level for the subsequent months. Information on recent benchmark revisions is available online at https://www.bls.gov/web/laus/benchmark.htm.

Reliability of the estimates. The estimates presented in this release are based on sample surveys, administrative data, and modeling and, thus, are subject to sampling and other types of errors. Sampling error is a measure of sampling variability—that is, variation that occurs by chance because a sample rather than the entire population is surveyed. Survey data also are subject to nonsampling errors, such as those which can be introduced into the data collection and processing operations. Estimates not directly derived from sample surveys are subject to additional errors resulting from the specific estimation processes used. The sums of individual items may not always equal totals shown in the same tables due to rounding.

Employment estimates. Changes in metropolitan area nonfarm payroll employment are cited in the analysis of this release only if they have been determined to be statistically significant at the 90-percent confidence level. Measures of sampling error for the total nonfarm employment series are available for metropolitan areas and metropolitan divisions at www.bls.gov/web/laus/790stderr.htm.

Area definitions. The substate area data published in this news release reflect the delineations issued by the U.S. Office of Management and Budget on April 10, 2018. The 12 metropolitan areas discussed in this release are the metropolitan areas with the largest population according to the U.S. Census Bureau.

The Pittsburgh, PA Metropolitan Statistical Area includes Allegheny, Armstrong, Beaver, Butler, Fayette, Washington, and Westmoreland Counties in Pennsylvania.

Additional information

Employment data from the CES program are available on the BLS website at www.bls.gov/sae/.

Information in this release will be made available to individuals with sensory impairments upon request. Voice phone: (202) 691-5200; Telecommunications Relay Service: 7-1-1.

Table 1. Employees on nonfarm payrolls by industry supersector, United States and the Pittsburgh metropolitan area, not seasonally adjusted (in thousands)
Area Back
data
Feb
2021
Dec
2021
Jan
2022
Feb
2022
Feb 2021 to
Feb 2022
Net
change
Percent
change

United States

Total nonfarm

Go to web page with historical data for series CEU0000000001
142,129 150,352 147,505 (p)149,144 (p)7,015 (p)4.9

Mining and logging

Go to web page with historical data for series CEU1000000001
531 589 580 (p)588 (p)57 (p)10.7

Construction

Go to web page with historical data for series CEU2000000001
6,970 7,449 7,192 (p)7,284 (p)314 (p)4.5

Manufacturing

Go to web page with historical data for series CEU3000000001
12,169 12,579 12,493 (p)12,577 (p)408 (p)3.4

Trade, transportation, and utilities

Go to web page with historical data for series CEU4000000001
27,085 29,043 28,279 (p)28,333 (p)1,248 (p)4.6

Information

Go to web page with historical data for series CEU5000000001
2,749 2,925 2,876 (p)2,899 (p)150 (p)5.5

Financial activities

Go to web page with historical data for series CEU5500000001
8,674 8,893 8,804 (p)8,848 (p)174 (p)2.0

Professional and business services

Go to web page with historical data for series CEU6000000001
20,649 21,964 21,528 (p)21,806 (p)1,157 (p)5.6

Education and health services

Go to web page with historical data for series CEU6500000001
23,503 24,090 23,752 (p)24,154 (p)651 (p)2.8

Leisure and hospitality

Go to web page with historical data for series CEU7000000001
12,540 14,804 14,458 (p)14,717 (p)2,177 (p)17.4

Other services

Go to web page with historical data for series CEU8000000001
5,266 5,586 5,520 (p)5,582 (p)316 (p)6.0

Government

Go to web page with historical data for series CEU9000000001
21,993 22,430 22,023 (p)22,356 (p)363 (p)1.7

Pittsburgh metropolitan area

Total Nonfarm

Go to web page with historical data for series SMU42383000000000001
1,082.4 1,129.5 1,103.8 (p)1,112.2 (p)29.8 (p)2.8

Mining and logging

Go to web page with historical data for series SMU42383001000000001
8.1 8.3 8.3 (p)8.4 (p)0.3 (p)3.7

Construction

Go to web page with historical data for series SMU42383002000000001
52.7 57.3 52.9 (p)52.4 (p)-0.3 (p)-0.6

Manufacturing

Go to web page with historical data for series SMU42383003000000001
79.1 79.8 79.6 (p)81.6 (p)2.5 (p)3.2

Trade, transportation, and utilities

Go to web page with historical data for series SMU42383004000000001
196.9 209.4 202.6 (p)201.0 (p)4.1 (p)2.1

Information

Go to web page with historical data for series SMU42383005000000001
19.1 21.0 20.2 (p)20.1 (p)1.0 (p)5.2

Financial activities

Go to web page with historical data for series SMU42383005500000001
74.5 74.0 74.0 (p)74.0 (p)-0.5 (p)-0.7

Professional and business Services

Go to web page with historical data for series SMU42383006000000001
175.9 177.9 176.3 (p)177.0 (p)1.1 (p)0.6

Education and health Services

Go to web page with historical data for series SMU42383006500000001
238.7 239.9 235.4 (p)239.9 (p)1.2 (p)0.5

Leisure and hospitality

Go to web page with historical data for series SMU42383007000000001
84.3 104.3 99.9 (p)99.3 (p)15.0 (p)17.8

Other services

Go to web page with historical data for series SMU42383008000000001
42.6 45.4 45.3 (p)46.0 (p)3.4 (p)8.0

Government

Go to web page with historical data for series SMU42383009000000001
110.5 112.2 109.3 (p)112.5 (p)2.0 (p)1.8

Footnotes
(p) Preliminary

SOURCE: Current Employment Statistics - National - State and Metropolitan Area

 

Last Modified Date: Friday, April 08, 2022