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全国就业、工时和收入

全国就业、工时和收入

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Business,Social Science,Economics,Government,Jobs and Career,Demographics Classification

数据结构 ? 1144.21M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Context: The Current Employment Statistics (CES) program provides estimates of employment, hours, and earnings information on a national basis and in considerable industry detail. The Bureau of Labor Statistics collects payroll data each month from a sample of business and government establishments in all nonfarm activities. Employment data include series for total employment, number of women employees, and number of production or nonsupervisory employees. Estimates of average hourly earnings, average weekly hours, average weekly earnings, and average weekly overtime hours are produced for both all employees and for production or nonsupervisory employees. Overtime hours are produced for manufacturing industries only. A sample of approximately 147,000 businesses and government agencies representing approximately 634,000 worksites throughout the United States is utilized for this monthly survey. The sample contains about 300,000 employer units. All employment, hours and earnings series are classified according to the 2012 North American Industry Classification System (NAICS). The industry code used in the survey corresponds to the NAICS code, except in those cases where multiple industries have been combined. Content: Please refer to *ce.txt* for a description of how to parse and use the unique identifiers. *This dataset was collected on June 27th, 2017 and may not be up-to-date.* **Summary of Data Available:** For all employees, women employees, and production or nonsupervisory employees, CES publishes about 4,300 monthly series. The series for all employees cover more than 900 industries on both a seasonally adjusted and not seasonally adjusted basis. For private-sector industries, nearly 7,500 series are published each month for average weekly earnings, average hourly earnings, average weekly hours, and, in manufacturing, average weekly overtime hours. Hours and earnings data for all employees are available for about 620 industries and for production or nonsupervisory employees about 550 industries. From the employment, hours, and earnings series, CES produces about 7,500 derivative series, such as indexes and real earnings series. Most employment series begin in 1990, although some series, including industry supersectors, are available from 1939. Supersectors include: mining and logging; construction; manufacturing; trade, transportation, and utilities; information; financial activities; professional and business services, education and health services; leisure and hospitality, other services, and government. **Frequency of Observations:** Data series are monthly in most cases; quarterly averages are available for total employment, average weekly hours, and average overtime hours, seasonally adjusted (datatypes 19, 20, 25, 36, and 37). Annual averages are available for all series that are not adjusted for seasonality (except for the 12-month diffusion index series). **Data Characteristics:** Earnings are measured in dollars and are published to the nearest cent (two decimal places). Average weekly and overtime hours are measured in hours and are published to the nearest tenth of an hour (one decimal place). Employment is measured in thousands of workers and is stored with no decimal place for all supersectors and for both durable goods and nondurable goods in manufacturing. Employment for all other industries are stored to one decimal place. Special characteristics of the data are footnoted where necessary. For example; I indicates that the seasonally adjusted series is independently seasonally adjusted and not used in aggregating to higher summary industries. For all employees, higher summary series, such as total nonfarm, are aggregated up from the 3-digit NAICS level. Each year with the release of January estimates in February, CES data are re-anchored to universe counts of nonfarm employment or benchmarks for the most recent March. For example, CES introduced March 2016 benchmark counts with the release of January 2017 first preliminary estimates in February 2017. On a not seasonally adjusted basis, all series are subject to revision back to the prior year’s benchmarked data (21 months of data), while seasonally adjusted estimates may be revised back 5 years (or more). *References: BLS Handbook of Methods, Chapter 2, "Employment, hours, and earnings from the establishment survey
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