This database is a joint effort between the National Bureau of Economic Research (NBER) and U.S. Census Bureau's Center for Economic Studies (CES), containing annual industry-level data from 1958-2011 on output, employment, payroll and other input costs, investment, capital stocks, TFP, and various industry-specific price indexes. Because of the change from SIC to NAICS industry definitions in 1997, the database is provided in two versions: one with 459 four-digit 1987 SIC industries and the other with 473 six-digit 1997 North American Industry Classification System (NAICS) industries.

Graph and download economic data for All Employees, Manufacturing (MANEMP) from Jan 1939 to Aug 2025 about headline figure, establishment survey, manufacturing, employment, and USA.

This dataset package is focused on U.S construction materials and three construction companies: Cemex, Martin Marietta & Vulcan.

In this package, SpaceKnow tracks manufacturing and processing facilities for construction material products all over the US. By tracking these facilities, we are able to give you near-real-time data on spending on these materials, which helps to predict residential and commercial real estate construction and spending in the US.

The dataset includes 40 indices focused on asphalt, cement, concrete, and building materials in general. You can look forward to receiving country-level and regional data (activity in the North, East, West, and South of the country) and the aforementioned company data.

SpaceKnow uses satellite (SAR) data to capture activity and building material manufacturing and processing facilities in the US.

Data is updated daily, has an average lag of 4-6 days, and history back to 2017.

The insights provide you with level and change data for refineries, storage, manufacturing, logistics, and employee parking-based locations.

SpaceKnow offers 3 delivery options: CSV, API, and Insights Dashboard

Available Indices Companies: Cemex (CX): Construction Materials (covers all manufacturing facilities of the company in the US), Concrete, Cement (refinery and storage) indices, and aggregates Martin Marietta (MLM): Construction Materials (covers all manufacturing facilities of the company in the US), Concrete, Cement (refinery and storage) indices, and aggregates Vulcan (VMC): Construction Materials (covers all manufacturing facilities of the company in the US), Concrete, Cement (refinery and storage) indices, and aggregates

USA Indices:

Aggregates USA Asphalt USA Cement USA Cement Refinery USA Cement Storage USA Concrete USA Construction Materials USA Construction Mining USA Construction Parking Lots USA Construction Materials Transfer Hub US Cement - Midwest, Northeast, South, West Cement Refinery - Midwest, Northeast, South, West Cement Storage - Midwest, Northeast, South, West

Why get SpaceKnow's U.S Construction Materials Package?

Monitor Construction Market Trends: Near-real-time insights into the construction industry allow clients to understand and anticipate market trends better.

Track Companies Performance: Monitor the operational activities, such as the volume of sales

Assess Risk: Use satellite activity data to assess the risks associated with investing in the construction industry.

Index Methodology Summary Continuous Feed Index (CFI) is a daily aggregation of the area of metallic objects in square meters. There are two types of CFI indices; CFI-R index gives the data in levels. It shows how many square meters are covered by metallic objects (for example employee cars at a facility). CFI-S index gives the change in data. It shows how many square meters have changed within the locations between two consecutive satellite images.

How to interpret the data SpaceKnow indices can be compared with the related economic indicators or KPIs. If the economic indicator is in monthly terms, perform a 30-day rolling sum and pick the last day of the month to compare with the economic indicator. Each data point will reflect approximately the sum of the month. If the economic indicator is in quarterly terms, perform a 90-day rolling sum and pick the last day of the 90-day to compare with the economic indicator. Each data point will reflect approximately the sum of the quarter.

Where the data comes from SpaceKnow brings you the data edge by applying machine learning and AI algorithms to synthetic aperture radar and optical satellite imagery. The company’s infrastructure searches and downloads new imagery every day, and the computations of the data take place within less than 24 hours.

In contrast to traditional economic data, which are released in monthly and quarterly terms, SpaceKnow data is high-frequency and available daily. It is possible to observe the latest movements in the construction industry with just a 4-6 day lag, on average.

The construction materials data help you to estimate the performance of the construction sector and the business activity of the selected companies.

The foundation of delivering high-quality data is based on the success of defining each location to observe and extract the data. All locations are thoroughly researched and validated by an in-house team of annotators and data analysts.

See below how our Construction Materials index performs against the US Non-residential construction spending benchmark

Each individual location is precisely defined to avoid noise in the data, which may arise from traffic or changing vegetation due to seasonal reasons.

SpaceKnow uses radar imagery and its own unique algorithms, so the indices do not lose their significance in bad weather conditions such as rain or heavy clouds.

→ Reach out to get free trial

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United States Manufacturing Industries: sa: Inventories data was reported at 669.270 USD bn in Jun 2018. This records an increase from the previous number of 668.607 USD bn for May 2018. United States Manufacturing Industries: sa: Inventories data is updated monthly, averaging 474.323 USD bn from Jan 1992 (Median) to Jun 2018, with 318 observations. The data reached an all-time high of 669.270 USD bn in Jun 2018 and a record low of 376.070 USD bn in Feb 1993. United States Manufacturing Industries: sa: Inventories data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.C004: Manufacturing Industries: By NAIC System: Inventories: sa.

Success.ai’s Manufacturing Company Data and B2B Contact Data for Global Manufacturing Professionals empowers businesses to connect with key decision-makers in the manufacturing industry worldwide. With access to over 170 million verified professional profiles, this dataset includes critical contact information for executives, managers, engineers, and other professionals in manufacturing, supply chain, and production roles. Whether you're targeting plant managers, operations executives, or procurement officers, Success.ai ensures accurate and effective outreach.

Why Choose Success.ai’s Manufacturing Professionals Data?

1. Comprehensive Contact Information:
2. Access verified work emails, direct phone numbers, and LinkedIn profiles for manufacturing leaders globally.

3. AI-validated data ensures 99% accuracy and up-to-date contact details for your outreach.

4. Global Reach Across Manufacturing Functions:

5. Includes profiles of manufacturing executives, plant managers, procurement specialists, engineers, and more.

6. Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East.

7. Continuously Updated Datasets:

8. Real-time data updates guarantee you always have the latest information about manufacturing professionals.

9. Ethical and Compliant:

10. Adheres to GDPR, CCPA, and other global privacy regulations for ethical use of data.

Data Highlights: - 170M+ Verified Professional Profiles: Includes manufacturing professionals from diverse industries. - 50M Work Emails: Verified and AI-validated for seamless communication. - 30M Company Profiles: Rich insights to support detailed targeting. - 700M Global Professional Profiles: Enriched data for broad business objectives.

Key Features of the Dataset:

1. Manufacturing Decision-Maker Profiles: Identify and connect with top-tier manufacturing professionals including operations leaders, plant managers, procurement officers, and senior executives.

2. Advanced Filters for Precision Targeting: Filter data by industry, company size, location, and specific job roles for optimal outreach.

3. AI-Driven Enrichment: Profiles enriched with actionable data to facilitate personalized engagement and higher success rates in campaigns.

Strategic Use Cases:

1. Supply Chain and Procurement Outreach:
2. Reach professionals involved in purchasing, supply chain management, and vendor relations.

3. Perfect for suppliers of equipment, materials, and logistics services to target key decision-makers in manufacturing.

4. Lead Generation for Manufacturing Solutions:

5. Promote manufacturing software, automation tools, and process optimization solutions.

6. Connect with professionals in charge of manufacturing operations to present cost-saving and efficiency-driving solutions.

7. Market Research and Industry Insights:

8. Gather data for industry trends, connect with thought leaders, and conduct targeted research in the global manufacturing sector.

9. Engage with professionals to build relationships and gain insights into evolving manufacturing practices.

10. Targeted Marketing Campaigns:

11. Design email marketing campaigns or direct outreach strategies targeting manufacturing decision-makers.

12. Utilize accurate contact data to drive higher engagement and conversion rates in your campaigns.

Why Choose Success.ai?

1. Best Price Guarantee: Enjoy the highest quality datasets at the most competitive pricing.

2. Seamless Integration: Easily integrate data into your CRM systems using APIs or download in the preferred format.

3. Data Accuracy with AI Validation: All profiles in this dataset are verified for 99% accuracy, ensuring confidence in the data for marketing, outreach, and decision-making.

4. Customizable and Scalable Solutions: Tailor the dataset to specific manufacturing sectors or job functions for more targeted outreach.

APIs for Enhanced Functionality:

1. Data Enrichment API: Enhance your existing records with verified manufacturing contact data to improve engagement and targeting.

2. Lead Generation API: Automate the lead generation process for manufacturing-specific campaigns to increase efficiency and scale.

Leverage Success.ai’s B2B Contact Data for Manufacturing Professionals to connect with key decision-makers in the global manufacturing industry. With verified emails, phone numbers, and continuously updated profiles, this data ensures that your outreach and communication efforts are impactful and precise.

Contact Success.ai now to elevate your manufacturing industry strategies with verified, AI-validated contact data. And remember—no one beats us on price. Period.

This table contains data described by the following dimensions (Not all combinations are available): Geography (17 items: Canada; Atlantic Region; Newfoundland and Labrador; Prince Edward Island; ...) Principal statistics (22 items: Total revenue; Revenue from goods manufactured; Total expenses; Total salaries and wages, direct and indirect labour; ...) North American Industry Classification System (NAICS) (290 items: Manufacturing; Food manufacturing; Animal food manufacturing; Animal food manufacturing; ...).

Comprehensive dataset containing 5,790 verified Machining manufacturer businesses in United States with complete contact information, ratings, reviews, and location data.

The size of the North America Industrial Manufacturing Industry market was valued at USD 58.35 Million in 2023 and is projected to reach USD 91.39 Million by 2032, with an expected CAGR of 6.62% during the forecast period. The North American industrial manufacturing industry is a cornerstone of economic growth, driving innovation and productivity across sectors. This industry encompasses a wide range of operations, including automotive, aerospace, electronics, machinery, and chemicals, each adapting to changing market demands and technological advancements. As of recent years, digital transformation has become pivotal, with companies increasingly adopting Industry 4.0 technologies like the Internet of Things (IoT), artificial intelligence (AI), robotics, and big data analytics. These innovations are enabling manufacturers to enhance efficiency, reduce costs, and improve production flexibility. A significant trend is the shift towards sustainable practices and renewable energy sources, partly driven by regulatory pressures and the growing emphasis on corporate social responsibility (CSR). Manufacturers are focusing on energy-efficient processes, circular economy principles, and low-emission manufacturing, aiming to meet environmental, social, and governance (ESG) standards. The supply chain disruptions, especially during the COVID-19 pandemic, underscored the need for resilience and prompted investments in supply chain diversification, automation, and local sourcing to mitigate risks. Recent developments include: June 2023: Honeywell, an American global company, and LG CNS are collaborating further to increase smart factories' production efficiency and security. Through this collaboration, the two companies will expand cooperation in building smart factories at home and abroad and strengthen OT (Operating Technology) security, which monitors the production process in real-time and remotely controls facilities., March 2023: LG Energy Solution announced an investment of around KRW 7.2 trillion (USD 5.5 billion) in building a battery manufacturing hub in Queen Creek, Arizona. This hub will include two facilities: one for making cylindrical batteries for electric vehicles (EVs) and another for producing lithium iron phosphate (LFP) pouch-type batteries for energy storage systems (ESS)., October 2022: Emerson announced the evolution of Plantweb, a digital ecosystem incorporating the AspenTech portfolio of asset optimization software powered by industrial artificial intelligence, creating the industry's most comprehensive digital transformation portfolio. Moreover, its Plantweb digital ecosystem, optimized by AspenTech, enables industrial manufacturers across all sectors to "See, Decide, Act, and Optimize" their operations.. Key drivers for this market are: Increasing Demand for Automation to Achieve Efficiency and Quality, Need for Compliance and Government Support for Digitization; Proliferation of Internet of Things. Potential restraints include: Concerns Regarding Data Security, High Initial Installation Costs and Lack of Skilled Workforce Preventing Enterprises from Full-scale Adoption. Notable trends are: Robotics is Expected to Witness Significant Growth.

Industrial Production in the United States increased 1.40 percent in July of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Industrial Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Non-Production Worker Salaries, Manufacturing Industries for United States (M08333USM027NNBR) from Jan 1929 to Mar 1969 about salaries, workers, manufacturing, industry, and USA.

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

United States Mfg Ind: Unfilled Orders: Information Technology data was reported at 113.607 USD bn in May 2018. This records an increase from the previous number of 113.412 USD bn for Apr 2018. United States Mfg Ind: Unfilled Orders: Information Technology data is updated monthly, averaging 107.516 USD bn from Jan 1992 (Median) to May 2018, with 317 observations. The data reached an all-time high of 132.573 USD bn in Apr 2012 and a record low of 76.349 USD bn in May 1994. United States Mfg Ind: Unfilled Orders: Information Technology 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.

Success.ai’s Manufacturing Data for Electrical, Electronic & Industrial Manufacturing Leaders Globally delivers a robust dataset designed to empower businesses in connecting with decision-makers in the global manufacturing sector. Covering professionals and leaders in electrical, electronic, and industrial manufacturing, this dataset offers verified contact details, firmographic insights, and actionable professional data.

With access to over 700 million verified global profiles and insights from 70 million businesses, Success.ai ensures your outreach, market research, and business development efforts are powered by accurate, continuously updated, and AI-validated information. Backed by our Best Price Guarantee, this solution is essential for navigating the competitive manufacturing industry.

Why Choose Success.ai’s Manufacturing Data?

1. Verified Contact Data for Targeted Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of executives, operations leaders, and engineers in the electrical, electronic, and industrial manufacturing industries.
   • AI-driven validation ensures 99% accuracy, optimizing communication efforts and improving campaign efficiency.

2. Comprehensive Coverage of Global Manufacturing Leaders

   • Includes profiles from major manufacturing hubs across North America, Europe, Asia-Pacific, and other key regions.
   • Gain insights into operational practices, supply chain dynamics, and technological trends shaping the industry.

3. Continuously Updated Datasets

   • Real-time updates capture changes in leadership, business expansions, and emerging market opportunities.
   • Stay aligned with evolving market conditions to capitalize on new opportunities effectively.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible use and compliance with legal standards.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with industry leaders, engineers, and decision-makers in the electrical, electronic, and industrial manufacturing sectors.
• 70M Business Profiles: Access detailed firmographic data, including company sizes, revenue ranges, and geographic footprints.
• Decision-Maker Contacts: Engage with CEOs, operations managers, and procurement leads driving manufacturing strategies.
• Industry Insights: Understand trends in automation, supply chain optimization, and emerging technologies.

Key Features of the Dataset:

1. Leadership and Decision-Maker Profiles

   • Identify and connect with professionals responsible for engineering, production, and operational excellence in the manufacturing sector.
   • Target decision-makers driving innovation, vendor selection, and manufacturing efficiency.

2. Advanced Filters for Precision Campaigns

   • Filter companies by industry focus (electrical, electronic, industrial), geographic location, revenue size, or workforce composition.
   • Tailor campaigns to address specific challenges, such as cost reduction, sustainability, or digital transformation.

3. Firmographic and Geographic Insights

   • Access detailed business information, including operational scopes, manufacturing capacities, and regional distribution.
   • Pinpoint key players in emerging and established manufacturing hubs for strategic engagement.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes with manufacturing stakeholders.

Strategic Use Cases:

1. Sales and Vendor Development

   • Offer tools, technologies, or raw materials tailored to the needs of manufacturers in the electrical, electronic, and industrial sectors.
   • Build relationships with procurement teams and operations managers seeking reliable suppliers or innovative solutions.

2. Market Research and Competitive Analysis

   • Analyze global manufacturing trends, from automation and AI to sustainable production practices, to refine your strategies.
   • Benchmark against competitors to identify growth opportunities, market gaps, and high-demand products.

3. Supply Chain Optimization and Risk Mitigation

   • Connect with supply chain leaders and operational managers to optimize logistics, improve vendor relationships, and mitigate risks.
   • Present solutions for efficiency, cost savings, or enhanced supply chain transparency.

4. Recruitment and Talent Development

   • Target HR professionals and hiring managers recruiting for roles in engineering, operations, or manufacturing management.
   • Provide staffing solutions, training platforms, or professional development tools tailored to the manufacturing industry.

Why Choose Success.ai?

1. Best Price Guarantee
   • Access premium-quality manufacturing data at competitive prices, ensuring strong ROI for your outreach, marketing, a...

Graph and download economic data for Number of Business Failures, Manufacturing Companies with Liabilities Under One Hundred Thousand Dollars for the United States (M0968AUSM474NNBR) from Jan 1894 to Aug 1938 about failures, companies, liabilities, business, manufacturing, and USA.

Lu, Yi, and Ng, Travis, (2013) "Import Competition and Skill Content in U.S. Manufacturing Industries." Review of Economics and Statistics 95:4, 1404-1417. Replication files

Graph and download economic data for Total Construction Spending: Manufacturing in the United States (TLMFGCONS) from Jan 2002 to Jul 2025 about expenditures, construction, manufacturing, and USA.

United States Inventories: Information Technology data was reported at 39.261 USD bn in May 2018. This records an increase from the previous number of 38.482 USD bn for Apr 2018. United States Inventories: Information Technology data is updated monthly, averaging 39.334 USD bn from Jan 1992 (Median) to May 2018, with 317 observations. The data reached an all-time high of 54.366 USD bn in Feb 2001 and a record low of 32.109 USD bn in Dec 2004. United States Inventories: Information Technology 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.

United States Mfg Ind: Inventories: MS: ND: Apparel data was reported at 489.000 USD mn in May 2018. This records a decrease from the previous number of 492.000 USD mn for Apr 2018. United States Mfg Ind: Inventories: MS: ND: Apparel data is updated monthly, averaging 1.132 USD bn from Jan 1992 (Median) to May 2018, with 317 observations. The data reached an all-time high of 4.187 USD bn in May 1995 and a record low of 455.000 USD mn in May 2010. United States Mfg Ind: Inventories: MS: ND: Apparel 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.

United States Mfg Ind: Inventories: MS: ND: Printing data was reported at 2.758 USD bn in May 2018. This records a decrease from the previous number of 2.785 USD bn for Apr 2018. United States Mfg Ind: Inventories: MS: ND: Printing data is updated monthly, averaging 2.839 USD bn from Jan 1992 (Median) to May 2018, with 317 observations. The data reached an all-time high of 4.099 USD bn in Aug 1995 and a record low of 2.307 USD bn in Jan 2010. United States Mfg Ind: Inventories: MS: ND: Printing 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.

Graph and download economic data for Gross Domestic Product: Manufacturing (31-33) in Illinois (ILMANNQGSP) from Q1 2005 to Q1 2025 about IL, GSP, private industries, private, manufacturing, industry, GDP, and USA.