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News Release Information

20-831-PHI
Friday, May 01, 2020

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Baltimore Area Employment – March 2020

Local Rate of Employment Growth Unchanged Over the Year

Total nonfarm employment for the Baltimore-Columbia-Towson, MD Metropolitan Statistical Area stood at 1,416,100 in March 2020, unchanged over the year, the U.S. Bureau of Labor Statistics reported today. During the same period, the national job count increased 1.0 percent. Sheila Watkins, the Bureau’s regional commissioner, noted that prior to March 2020, the Baltimore area had five consecutive months of over-the-year job gains. (See chart 1 and table 1; the Technical Note at the end of this release contains the metropolitan area definition. All data in this release are not seasonally adjusted; accordingly, over-the-year analysis is used throughout.)

Industry employment

Professional and business services had the largest annual job gain among Baltimore’s supersectors, adding 5,200 jobs since March 2019. The supersector’s 2.2-percent local rate of job growth was faster than the national rate of 1.5 percent. (See chart 2.)

Employment in trade, transportation, and utilities increased by 3,100 in the local area since March a year ago. The rate of local job growth for this supersector (1.3 percent) was more than three times the national rate (0.4 percent).

Three Baltimore area supersectors lost more than 1,000 jobs each over the year—government (-5,700), leisure and hospitality (-2,600), and financial activities (-2,200). Nationally, the government and financial activities supersectors added jobs, while the leisure and hospitality supersector had job losses.

Metropolitan area employment data for April 2020 are scheduled to be released on Friday, May 22, 2020, at 10:00 a.m. (ET).


Technical Note

This release presents nonfarm payroll employment estimates from the Current Employment Statistics (CES) program. The CES survey is a Federal-State cooperative endeavor between State employment security agencies and the 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 sample of establishments is very small or highly variable. In these cases, a model-based approach is used in estimation. These models use the direct sample estimates (described above), combined with forecasts of historical (benchmarked) data to decrease volatility in estimation. Two different models (Fay-Herriot Model and Small Domain Model) are used depending on the industry level being estimated. For more detailed information about each model, refer to the BLS Handbook of Methods.

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.

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 are also 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 special estimation processes used. The sums of individual items may not always equal the totals shown in the same tables because of rounding.

Employment estimates.

Measures of sampling error for the total nonfarm employment series are available for metropolitan areas and metropolitan divisions at www.bls.gov/sae/additional-resources/reliability-of-state-and-area-estimates.htm. Measures of sampling error for more detailed series at the area and division level are available upon request. Measures of sampling error for states down to the supersector level are available on the BLS website at www.bls.gov/sae/additional-resources/reliability-of-state-and-area-estimates.htm. Information on recent benchmark revisions is available online at www.bls.gov/sae/publications/benchmark-article/annual-benchmark-article.pdf.

Area definitions. The substate area data published in this release reflect the delineations issued by the U.S. Office of Management and Budget on April 10, 2018. A detailed list of the geographic definitions is available at www.bls.gov/lau/lausmsa.htm.

The Baltimore-Columbia-Towson, MD Metropolitan Statistical Area includes Anne Arundel, Baltimore, Carroll, Harford, Howard, and Queen Anne’s Counties and Baltimore City in Maryland.

Additional information

More complete information on the technical procedures used to develop these estimates and additional data appear in Employment and Earnings, which is available online at www.bls.gov/opub/ee/home.htm. Detailed industry employment data for metropolitan areas from the CES program are available from the State and Area Employment databases at www.bls.gov/sae/data/home.

Information in this release will be made available to sensory impaired individuals upon request. Voice phone: (202) 691-5200; Federal Relay Service: (800) 877-8339.

Table 1. Employees on nonfarm payrolls by industry supersector, United States and the Baltimore metropolitan area,
not seasonally adjusted (in thousands)
AreaBack
data
Mar
2019
Jan
2020
Feb
2020
Mar
2020(1)
Mar 2019 to
Mar 2020(1)
Net
change
Percent
change

United States

Total nonfarm

Go to web page with historical data for series CEU0000000001
149,359150,153151,055150,8041,4451.0

Mining and logging

Go to web page with historical data for series CEU1000000001
731701700697-34-4.7

Construction

Go to web page with historical data for series CEU2000000001
7,1707,2407,2717,3311612.2

Manufacturing

Go to web page with historical data for series CEU3000000001
12,77412,76612,79612,78390.1

Trade, transportation, and utilities

Go to web page with historical data for series CEU4000000001
27,35827,73427,47927,4601020.4

Information

Go to web page with historical data for series CEU5000000001
2,8382,8572,8812,885471.7

Financial activities

Go to web page with historical data for series CEU5500000001
8,6588,7628,8048,8031451.7

Professional and business services

Go to web page with historical data for series CEU6000000001
20,90821,13921,25021,2293211.5

Education and health services

Go to web page with historical data for series CEU6500000001
24,11324,40324,71624,6455322.2

Leisure and hospitality

Go to web page with historical data for series CEU7000000001
16,09016,09216,24515,988-102-0.6

Other services

Go to web page with historical data for series CEU8000000001
5,8335,8625,8905,882490.8

Government

Go to web page with historical data for series CEU9000000001
22,88622,59723,02323,1012150.9

Baltimore-Columbia-Towson Metropolitan Statistical Area

Total Nonfarm

Go to web page with historical data for series SMU24125800000000001
1,415.61,417.41,420.11,416.10.50.0

Mining, logging, and construction

Go to web page with historical data for series SMU24125801500000001
79.582.381.982.42.93.6

Manufacturing

Go to web page with historical data for series SMU24125803000000001
58.860.060.259.60.81.4

Trade, transportation, & utilities

Go to web page with historical data for series SMU24125804000000001
242.4244.8243.6245.53.11.3

Information

Go to web page with historical data for series SMU24125805000000001
17.216.816.816.7-0.5-2.9

Financial activities

Go to web page with historical data for series SMU24125805500000001
79.376.877.377.1-2.2-2.8

Professional & business services

Go to web page with historical data for series SMU24125806000000001
241.6251.9248.8246.85.22.2

Education & health services

Go to web page with historical data for series SMU24125806500000001
282.5280.7281.7282.3-0.2-0.1

Leisure & hospitality

Go to web page with historical data for series SMU24125807000000001
133.8135.2135.9131.2-2.6-1.9

Other services

Go to web page with historical data for series SMU24125808000000001
51.452.052.251.1-0.3-0.6

Government

Go to web page with historical data for series SMU24125809000000001
229.1216.9221.7223.4-5.7-2.5

Baltimore City

Total Nonfarm

Go to web page with historical data for series SMU24925810000000001
373.7369.0371.2373.0-0.7-0.2

Mining, logging, and construction

Go to web page with historical data for series SMU24925811500000001
11.011.011.011.00.00.0

Manufacturing

Go to web page with historical data for series SMU24925813000000001
11.311.011.011.0-0.3-2.7

Trade, transportation, & utilities

Go to web page with historical data for series SMU24925814000000001
39.840.339.939.90.10.3

Information

Go to web page with historical data for series SMU24925815000000001
4.74.94.94.90.24.3

Financial activities

Go to web page with historical data for series SMU24925815500000001
17.116.717.217.20.10.6

Professional & business services

Go to web page with historical data for series SMU24925816000000001
54.156.555.956.22.13.9

Education & health services

Go to web page with historical data for series SMU24925816500000001
122.4122.2122.6122.80.40.3

Leisure & hospitality

Go to web page with historical data for series SMU24925817000000001
28.827.728.128.7-0.1-0.3

Other services

Go to web page with historical data for series SMU24925818000000001
12.512.112.112.2-0.3-2.4

Government

Go to web page with historical data for series SMU24925819000000001
72.066.668.569.1-2.9-4.0

Footnotes
(1) State and regional data for the most recent month are preliminary; U.S. data are preliminary for two months.

 

Last Modified Date: Friday, May 01, 2020