Graph and download economic data for Percent of Employment in Manufacturing in the United States (DISCONTINUED) (USAPEFANA) from 1970 to 2012 about percent, manufacturing, employment, and USA.

United States - Hires: Manufacturing was 2.50000 Rate in July of 2025, according to the United States Federal Reserve. Historically, United States - Hires: Manufacturing reached a record high of 5.40000 in May of 2020 and a record low of 1.50000 in May of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Hires: Manufacturing - last updated from the United States Federal Reserve on September of 2025.

Comprehensive dataset containing 16,422 verified Media company businesses in United States with complete contact information, ratings, reviews, and location data.

According to an analysis conducted in 2023 of over *** companies targeting children and families in the United States, only ** percent of the businesses had a privacy-protective mindset and did not sell data. Under the California Privacy Rights Act amendment, companies are supposed to disclose if they sell users' personal data. Around ** percent of companies did not disclose whether they engaged in such practices.

Graph and download economic data for Manufacturers' New Orders: Total Manufacturing (AMTMNO) from Feb 1992 to Jul 2025 about new orders, orders, headline figure, new, manufacturing, industry, and USA.

US Toy Manufacturers by State

Number of Toy Manufacturers by State (2005-2016)

By Throwback Thursday [source]

About this dataset

The Week 39 - US Toy Manufacturers 2005-2016 dataset provides comprehensive information on the number of toy manufacturers operating in the United States from 2005 to 2016. It categorizes these manufacturers based on their geographical locations, specifically states within the country. The dataset contains three columns: State, which represents the state where each toy manufacturer is located; Year, which indicates the specific year when data was recorded; and Number of Manufacturers, which signifies the total count of toy manufacturers in a particular state and year.

The data source for this dataset is the U.S. Census Bureau's County Business Patterns report spanning over eleven years. This dataset aims to offer valuable insights into industry trends and fluctuations within the toy manufacturing sector across different states in America during this period.

Please note that actual dates are not mentioned in this description, as they were excluded as per your instruction

How to use the dataset

Introduction:

• Exploring the Dataset: a. The dataset consists of three columns: State, Year, and Number of Manufacturers. b. The State column represents different states in the United States where toy manufacturers are located. c. The Year column indicates when each data point was recorded. d. The Number of Manufacturers column provides information on how many toy manufacturers were present for each state and year.

• Understanding Categorical and Numeric Data: a. Categorical Data (State): This data is non-numerical and represents different states in the United States.

  • You can use this data to analyze regional distribution patterns or compare different states based on their number of toy manufacturers.

  b. Numeric Data (Year & Number of Manufacturers): These columns contain numerical values. - 'Year' data allows you to identify trends or patterns over time within each state's toy manufacturing industry. - 'Number of Manufacturers' data enables you to understand variations in manufacturer count for specific years across multiple states.

• Analysis Tips: a) Identifying State-Wise Variation: - Grouping by state, calculate average/minimum/maximum number of manufacturers over specified years, e.g., which state consistently had maximum/minimum numbers during this period?

  b) Analyzing Trends Over Time: - Grouping by year across all states or specific ones, calculate average/minimum/maximum number of manufacturers, e.g., what was the overall trend for toy manufacturers in certain states or across the country?

• Visualizing Insights: a) Bar/Column charts: Represent the number of manufacturers by state or year, allowing easy comparison between different categories.

• Combining with External Data: a) Explore correlations:

  • Combine this dataset with external factors like economic indicators to analyze how changes in different aspects might have influenced toy manufacturing trends.

• Additional Considerations:

  • Ensure you validate and cross-reference findings or hypotheses using other sources.
  • If incorporating results into your work, remember to cite the

Research Ideas

• Market Analysis: This dataset can be used to analyze the toy manufacturing industry in different states over time. By comparing the number of manufacturers in each state, trends and patterns can be identified. This information can be helpful for market analysis, identifying potential growth areas, and understanding market saturation.
• Economic Development: The dataset can be utilized by policymakers and government agencies to assess the economic development of different states. By looking at the number of toy manufacturers over time, policymakers can determine which states are attracting more business investment and potentially replicate those factors in other regions.
• Demographic Analysis: The dataset can also provide insights into demographic trends related to toy manufacturing. By analyzing changes in the number of manufacturers across different years and states, researchers could identify if there are any correlations with population growth or decline, employment rates, or other demographic factors

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset descript...

As of April 2023, there were some ****** people employed in the United States ceramic manufacturing industry. Those employees were attributable to the ***** ceramic manufacturing businesses that existed in the U.S. as of that time.

In a 2024 survey of small business leaders and IT professionals in the United States, 58 percent of respondents stated that employee data was their most compromised company data in cyberattacks. Additionally, 53 percent of respondents reported customer or consumer data as the second most impacted company data.

United States BAI: sa: Richmond Fed: Mfg: Nxt 6 Mth: Capacity Utilization data was reported at 40.000 NA in Jul 2018. This records an increase from the previous number of 36.000 NA for Jun 2018. United States BAI: sa: Richmond Fed: Mfg: Nxt 6 Mth: Capacity Utilization data is updated monthly, averaging 25.000 NA from May 1997 (Median) to Jul 2018, with 255 observations. The data reached an all-time high of 45.000 NA in Feb 2017 and a record low of 0.000 NA in May 2005. United States BAI: sa: Richmond Fed: Mfg: Nxt 6 Mth: Capacity Utilization data remains active status in CEIC and is reported by Federal Reserve Bank of Richmond. The data is categorized under Global Database’s USA – Table US.S011: Fifth District Survey of Manufacturing Sector Activity.

Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

Key Features of Success.ai's Company Financial Data:

Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

Why Choose Success.ai for Company Financial Data?

Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

Comprehensive Use Cases for Financial Data:

1. Strategic Financial Planning:

Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

1. Mergers and Acquisitions (M&A):

Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

1. Investment Analysis:

Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

1. Lead Generation and Sales:

Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

1. Market Research:

Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

APIs to Power Your Financial Strategies:

Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

Tailored Solutions for Industry Professionals:

Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

What Sets Success.ai Apart?

Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

Ethical Practices: Our data collection and processing methods are fully comp...

Graph and download economic data for Production: Manufacturing: Total Manufacturing for United States (PRMNTO01USQ657S) from Q2 1919 to Q2 2025 about IP, manufacturing, and USA.

Key Table Information.Table Title.Manufacturing: E-Commerce Statistics for the U.S.: 2022.Table ID.ECNECOMM2022.EC2231ECOMM.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Manufacturing: E-Commerce Statistics for the U.S.: 2022.Release Date.2025-01-23.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Sales, value of shipments, or revenue ($1,000)E-Shipments value ($1,000) E-Shipments as percent of total sales, value of shipments, or revenue (%) Range indicating imputed percentage of total sales, value of shipments, or revenueDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S. level only. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 3-digit 2022 NAICS code levels for the U.S. For information about NAICS, see Economic Census Code Lists..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector31/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error of 100% or morer - Reviseds - Relative standard error exceeds 40%For a complete list of symbols, see Economic Census Data Dictionary..Data-Specific Notes.Data users who create their own es...

ISM Manufacturing Employment in the United States increased to 43.80 points in August from 43.40 points in July of 2025. This dataset includes a chart with historical data for the United States ISM Manufacturing Employment.

As of May 2024, over half of adults in the United States reported having no interest in dealing with companies that have experienced data breaches in the past. In contrast, only nine percent of adult users in the U.S. said they are very likely to trust a company that has had a data leak.

ISM Manufacturing Prices in the United States decreased to 63.70 points in August from 64.80 points in July of 2025. This dataset includes a chart with historical data for the United States ISM Manufacturing Prices Paid.

According to a 2024 survey of small business leaders and IT professionals in the United States, ** percent of small companies experienced both security breaches and data breaches in the examined year. In comparison, ** percent of companies reported not having suffered from any of these cyberattacks.

All Employees: Manufacturing in Virginia was 239.10000 Thous. of Persons in August of 2025, according to the United States Federal Reserve. Historically, All Employees: Manufacturing in Virginia reached a record high of 391.60000 in March of 1990 and a record low of 222.40000 in May of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Manufacturing in Virginia - last updated from the United States Federal Reserve on September of 2025.

United States Mfg Ind: Unfilled Orders: MA: ow: Industrial data was reported at 8.654 USD bn in May 2018. This records a decrease from the previous number of 8.762 USD bn for Apr 2018. United States Mfg Ind: Unfilled Orders: MA: ow: Industrial data is updated monthly, averaging 9.529 USD bn from Jan 1992 (Median) to May 2018, with 317 observations. The data reached an all-time high of 16.504 USD bn in Jul 2008 and a record low of 4.212 USD bn in Mar 1992. United States Mfg Ind: Unfilled Orders: MA: ow: Industrial data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.C007: Manufacturing Industries: By NAIC System: Unfilled Orders.

Mfg Ind: Inventories: MS: ND: Textiles data was reported at 1.134 USD bn in May 2018. This records an increase from the previous number of 1.129 USD bn for Apr 2018. Mfg Ind: Inventories: MS: ND: Textiles data is updated monthly, averaging 1.325 USD bn from Jan 1992 (Median) to May 2018, with 317 observations. The data reached an all-time high of 2.337 USD bn in Jul 1995 and a record low of 1.051 USD bn in Nov 2009. Mfg Ind: Inventories: MS: ND: Textiles data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.C003: Manufacturing Industries: By NAIC System: Inventories.

Mfg Ind: Inventories: FG: ND: Beverages and Tobacco data was reported at 9.465 USD bn in May 2018. This records a decrease from the previous number of 9.515 USD bn for Apr 2018. Mfg Ind: Inventories: FG: ND: Beverages and Tobacco data is updated monthly, averaging 5.565 USD bn from Jan 1992 (Median) to May 2018, with 317 observations. The data reached an all-time high of 9.515 USD bn in Apr 2018 and a record low of 2.664 USD bn in May 1995. Mfg Ind: Inventories: FG: ND: Beverages and Tobacco data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.C003: Manufacturing Industries: By NAIC System: Inventories.