The Current Employment Statistics survey, as a joint Federal-State undertaking, generates State and area statistics on employment, hours, and earnings. This product contains the complete dataset with all files originally published at https://download.bls.gov/pub/time.series/sm. Sections 2-7 of the file sm.txt explain dataset features.
The following is a definition of: STATE AND AREA EMPLOYMENT, HOURS AND EARNINGS (SM)
Survey Description: The Current Employment Statistics survey, as a joint Federal-State undertaking, generates State and area, as well as national, statistics on employment, hours, and earnings.
BLS collects data each month from a sample of establishments in all nonagricultural industries including government. From these data, a large number of series on employment, hours, and earnings in considerable industrial detail are published monthly for each of the 50 States, the District of Columbia, Puerto Rico, and the Virgin Islands.
Those industries which reflect significant economic activities are selected for publication.
All employment, hours, and earnings series, State and area as well as national, are classified according to the 2012 North American Industrial Classification System (NAICS).
Summary Data Available: For total payroll employment, nearly 19,000 series of monthly data are available; they cover each State and about 450 major labor areas, most of which are Metropolitan Statistical Areas (MSAs). Estimates for the total nonfarm series will begin in 1939. In most cases, other industry series will start with January 1990. In the largest States, up to 300 industries are reported.
Expanded Supersector data is available for all States and MSAs. Most States also have detail at the NAICS sector level. Some industry detail is available at the 4-digit, 5-digit, and 6-digit NAICS level.
Frequency of Observations: All data are monthly.
Annual Averages: Annual averages are available.
Data Characteristics: Employment is measured in thousands of workers and is stored with one decimal place. Earnings are measured in dollars and are stored with two decimal places. Average weekly hours are measured in hours and are stored with one decimal place.
Updating Schedule: Updates are usually available 10 to 12 weeks following the survey week (the week containing the 12th) in the reference month.
If you have any questions about the CloudFormation stack, Lambda code or any of the AWS services being used, please contact info@rearc.io.
About Rearc
Rearc is a cloud, software and services company. We believe that empowering engineers drives innovation. Cloud-native architectures, modern software and data practices, and the ability to safely experiment can enable engineers to realize their full potential. We have partnered with several enterprises and startups to help them achieve agility. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry.
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This listing is free and uses a single pricing dimension called Product Access (Units). It grants you access to the dataset as a subscriber. There are no tiers, usage add-ons, or size-based options to compare. You subscribe once to consume the data, with no charge tied to volume or duration. The vendor publishes this publicly available employment dataset so you can pull it into your data pipeline in a consistent format.
Top-of-mind questions for buyers
What does the single Product Access (Units) dimension grant me?
It grants you subscriber access to consume the employment dataset. This dataset covers state and metro-level employment, hours, and earnings statistics. Once subscribed, you can pull the data into your pipeline in a consistent format. There is no charge tied to volume, records, or how long you keep access.
Does the amount of data I consume change what I pay?
No. This listing is free, and the single dimension grants access without metering usage. Your cost does not change based on record count, download frequency, or how often you refresh the data. The vendor owns the lifecycle of publishing this publicly available dataset for subscribers.
How does the vendor deliver this dataset to subscribers?
The vendor sources publicly available data, transforms it, and publishes it through AWS Data Exchange. Subscribers consume it in a consistent format without handling the acquisition or processing work themselves. The vendor manages the lifecycle of keeping this dataset published for you.
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