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| Census of Manufactures | |
|---|---|
| Name | Census of Manufactures |
| Country | United States |
| Agency | United States Census Bureau |
| First | 1810 |
| Frequency | Varied; decennial/annual |
| Topics | Manufacturing, Industrial statistics |
Census of Manufactures is a periodic statistical survey historically conducted to enumerate and characterize manufacturing establishments, output, employment, and capital in the United States. Originating in the early 19th century, it has been carried out by the United States Census Bureau and reported alongside decennial population counts, later evolving into annual and quinquennial series tied to federal statistical programs such as the Economic Census and the North American Industry Classification System. The series provides foundational microdata and aggregate tables used by federal agencies like the Bureau of Labor Statistics and policy institutions such as the Federal Reserve Board.
The inaugural manufacturing enumeration occurred in 1810 during the administration of James Madison and was influenced by earlier compilations in England and statistical practice exemplified by the United Kingdom Census. Throughout the 19th century, reports appeared in the decennial publications tied to the Census of the United States under the supervision of officials including Joseph C. G. Kennedy and later directors of the United States Census Bureau such as John Shaw Billings. Industrialization, the Industrial Revolution, and episodes like the Civil War and the Great Depression drove methodological and periodic changes. In the 20th century, reforms during the New Deal era under agencies like the Works Progress Administration and the establishment of the Bureau of the Census modernized collection. Postwar developments, including the adoption of the Standard Industrial Classification and later the North American Industry Classification System, reshaped classification and reporting. More recently, linkage with the Economic Census and integration with administrative records has responded to technological change and globalization associated with entities such as General Motors, U.S. Steel, and Boeing.
The survey aims to produce comprehensive statistics on manufacturing establishments to inform policy and commerce involving institutions such as the Department of Commerce, Congress, and the Office of Management and Budget. Coverage typically includes establishment counts, employment, payroll, value of shipments, and capital expenditures across sectors represented in systems like the North American Industry Classification System and historically in the Standard Industrial Classification. Outputs serve stakeholders including United States Department of Labor, regional planning agencies such as the Metropolitan Council and firms like IBM and Procter & Gamble for benchmarking and trend analysis. International comparisons draw on parallels with censuses run by the OECD, Statistics Canada, and national statistical offices such as Statistics Netherlands.
Data collection methods have ranged from paper schedules mailed to establishments to modern web-based forms and administrative record linkage using identifiers compatible with systems like the Employer Identification Number and filings to the Internal Revenue Service. Sampling frames build on sources such as the Quarterly Census of Employment and Wages and business registers maintained by the United States Census Bureau and updated using filings with agencies like the Securities and Exchange Commission. Classification relies on industry systems such as the North American Industry Classification System and crosswalks to the Standard Industrial Classification. Estimation techniques invoke survey design principles from texts associated with scholars like Jerzy Neyman and institutions such as the National Academy of Sciences; disclosure avoidance applies methods paralleling protocols in the Confidential Information Protection and Statistical Efficiency Act.
Typical variables include establishment name and location (linked to Geographic Names Information System entries), industry code per North American Industry Classification System, employment counts, payroll totals, value of shipments, inventories, fuel and power usage, and capital expenditures. Historical publications reported similar items framed by the Standard Industrial Classification. Tabulations are aggregated by geography, industry, and size class for use by agencies like the Bureau of Economic Analysis and scholars at institutions such as Harvard University and Massachusetts Institute of Technology. Microdata products sometimes appear as public-use files subject to suppression and perturbation methods similar to those used by the Census Bureau for the American Community Survey.
Findings inform industrial policy decisions in bodies such as the Department of Commerce and legislative efforts in United States Congress committees overseeing commerce and labor. Economists at the Federal Reserve Board, researchers at universities like Stanford University and University of Chicago, and analysts at corporations including Ford Motor Company and Siemens use data for productivity analysis, input–output modeling tied to the Bureau of Economic Analysis, and regional economic development planning linked to entities like the Economic Development Administration. Historical series have shaped understanding of deindustrialization trends associated with events like the Rust Belt transformation and trade policy debates referencing treaties such as the North American Free Trade Agreement.
Critics note undercoverage of small-scale workshops, misclassification under evolving industry codes like the transition from Standard Industrial Classification to North American Industry Classification System, and lag issues relative to rapid technological shifts exemplified by firms such as Apple Inc. and Amazon (company). Confidentiality constraints and disclosure avoidance can reduce utility for firm-level research, echoing debates involving the Confidential Information Protection and Statistical Efficiency Act and practices at the Bureau of Labor Statistics. Comparative researchers point to challenges in cross-country harmonization with sources from the International Labour Organization and OECD.
Key national milestones include the 1810 manufacturing enumeration under James Madison, decennial expansions through the 19th century, standardization with the Standard Industrial Classification in the 1930s, postwar modernization under Franklin D. Roosevelt-era reforms, the 1997 implementation of the North American Industry Classification System aligning United States practice with Canada and Mexico, and integration into the quinquennial Economic Census overseen by the United States Census Bureau in the late 20th and early 21st centuries. International counterparts and comparative programs include national manufacturing censuses by Statistics Canada, Office for National Statistics (United Kingdom), and statistical offices within the European Union network.
Category:Manufacturing statistics