100+ datasets found
  1. d

    List of 22M Manufacturing companies worldwide

    • datarade.ai
    Updated Apr 29, 2021
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    BoldData (2021). List of 22M Manufacturing companies worldwide [Dataset]. https://datarade.ai/data-products/list-of-22m-manufacturing-companies-worldwide-bolddata
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    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Apr 29, 2021
    Dataset authored and provided by
    BoldData
    Area covered
    Ethiopia, Guyana, Western Sahara, Poland, Luxembourg, Tanzania, Antarctica, Mali, Guam, South Sudan, World
    Description

    With over 22 million businesses, all held in-house, BoldData has the largest supply of manufacturing data. We can select your perfect target based on numerous interesting selections: from 3.000 industries to region, turnover, sector, contact person and the number of employees.

    Other questions or are you looking for another city or country? Our data experts are specialized in supervising international campaigns. We have specific direct marketing knowledge per country and have highly accurate data of 300 million companies in 150+ countries. Contact us for free tailor-made advice and an independent quote.

  2. Manufacturing Company Data | Global Manufacturing Professionals | Work...

    • datarade.ai
    Updated Feb 12, 2018
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    Success.ai (2018). Manufacturing Company Data | Global Manufacturing Professionals | Work Emails & Phone Numbers for Key Decision-makers | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/manufacturing-company-data-global-manufacturing-professiona-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Feb 12, 2018
    Dataset provided by
    Area covered
    Yemen, Papua New Guinea, Nepal, Paraguay, Angola, Taiwan, Romania, Malta, Switzerland, Antarctica
    Description

    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.

  3. c

    Business Structure Database, 1997-2023: Secure Access

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 28, 2024
    + more versions
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    Office for National Statistics (2024). Business Structure Database, 1997-2023: Secure Access [Dataset]. http://doi.org/10.5255/UKDA-SN-6697-16
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    Dataset updated
    Nov 28, 2024
    Authors
    Office for National Statistics
    Area covered
    United Kingdom
    Variables measured
    Institutions/organisations, National
    Measurement technique
    Compilation/Synthesis
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    The Business Structure Database (BSD) contains a small number of variables for almost all business organisations in the UK. The BSD is derived primarily from the Inter-Departmental Business Register (IDBR), which is a live register of data collected by HM Revenue and Customs via VAT and Pay As You Earn (PAYE) records. The IDBR data are complimented with data from ONS business surveys. If a business is liable for VAT (turnover exceeds the VAT threshold) and/or has at least one member of staff registered for the PAYE tax collection system, then the business will appear on the IDBR (and hence in the BSD). In 2004 it was estimated that the businesses listed on the IDBR accounted for almost 99 per cent of economic activity in the UK. Only very small businesses, such as the self-employed were not found on the IDBR.

    The IDBR is frequently updated, and contains confidential information that cannot be accessed by non-civil servants without special permission. However, the ONS Virtual Micro-data Laboratory (VML) created and developed the BSD, which is a 'snapshot' in time of the IDBR, in order to provide a version of the IDBR for research use, taking full account of changes in ownership and restructuring of businesses. The 'snapshot' is taken around April, and the captured point-in-time data are supplied to the VML by the following September. The reporting period is generally the financial year. For example, the 2000 BSD file is produced in September 2000, using data captured from the IDBR in April 2000. The data will reflect the financial year of April 1999 to March 2000. However, the ONS may, during this time, update the IDBR with data on companies from its own business surveys, such as the Annual Business Survey (SN 7451).

    The data are divided into 'enterprises' and 'local units'. An enterprise is the overall business organisation. A local unit is a 'plant', such as a factory, shop, branch, etc. In some cases, an enterprise will only have one local unit, and in other cases (such as a bank or supermarket), an enterprise will own many local units.

    For each company, data are available on employment, turnover, foreign ownership, and industrial activity based on Standard Industrial Classification (SIC)92, SIC 2003 or SIC 2007. Year of 'birth' (company start-up date) and 'death' (termination date) are also included, as well as postcodes for both enterprises and their local units. Previously only pseudo-anonymised postcodes were available but now all postcodes are real.

    The ONS is continually developing the BSD, and so researchers are strongly recommended to read all documentation pertaining to this dataset before using the data.

    Linking to Other Business Studies
    These data contain IDBR reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

    Latest Edition Information
    For the sixteenth edition (March 2024), data files and a variable catalogue document for 2023 have been added.

    Main Topics:

    The following variables are available for enterprises and local units:
    • employment (and employees)
    • turnover
    • Standard Industrial Classification (1992, 2003 and 2007 classifications are available)
    • legal status (e.g. sole proprietor, partnership, public corporation, non-profit organisation etc)
    • foreign ownership
    • birth (company start date)
    • death (termination date of trading)
    • various geographical variables
    'Employment' includes business owners, whereas 'employees' measures the number of staff, excluding owners.

    Observations for enterprises also include a variable for ownership if the enterprise is part of a large group of companies.

    Local units have an additional ‘death code’ variable, which serves as an indicator as to why the plant closed (e.g. as a result of a merger). It should also be noted that there is no turnover information for individual plants. This is because the ONS does not collect financial information at the plant level, which is notoriously difficult, especially for manufacturing plants where often no financial transactions are processed.

    The birth and death variables are particularly useful for research, although it should be noted that for businesses that began trading before 1973, their birth date will be set to 1973. This is the year that VAT was introduced in the UK, and hence the first point in time for VAT registration for these companies. Companies that began trading since 1973 have their ‘real’ date of birth listed.

  4. Management, Organization and Innovation Survey 2009 - Serbia

    • microdata.worldbank.org
    • dev.ihsn.org
    • +1more
    Updated Sep 26, 2013
    + more versions
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    World Bank (2013). Management, Organization and Innovation Survey 2009 - Serbia [Dataset]. https://microdata.worldbank.org/index.php/catalog/317
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    Dataset updated
    Sep 26, 2013
    Dataset provided by
    World Bankhttp://worldbank.org/
    European Bank for Reconstruction and Development
    Time period covered
    2008 - 2009
    Area covered
    Serbia
    Description

    Abstract

    The study was conducted in Serbia between October 2008 and February 2009 as part of the first round of The Management, Organization and Innovation Survey. Data from 135 manufacturing companies with 50 to 5,000 full-time employees was analyzed.

    The survey topics include detailed information about a company and its management practices - production performance indicators, production target, ways employees are promoted/dealt with when underperforming. The study also focuses on organizational matters, innovation, spending on research and development, production outsourcing to other countries, competition, and workforce composition.

    Analysis unit

    The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment is defined as a separate production unit, regardless of whether or not it has its own financial statements separate from those of the firm, and whether it has it own management and control over payroll. So the bottling plant of a brewery would be counted as an establishment.

    Universe

    The survey universe was defined as manufacturing establishments with at least fifty, but less than 5,000, full-time employees.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Random sampling was used in the study. For all MOI countries, except Russia, there was a requirement that all regions must be covered and that the percentage of the sample in each region was required to be equal to at least one half of the percentage of the sample frame population in each region.

    In most countries the sample frame used was an extract from the Orbis database of Bureau van Dijk, which was provided to the Consultant by the EBRD. The sample frame contained details of company names, location, company size (number of employees), company performance measures and contact details. The sample frame downloaded from Orbis was cleaned by the EBRD through the addition of regional variables, updating addresses and phone numbers of companies.

    Examination of the Orbis sample frames showed their geographic distributions to be wide with many locations, a large number of which had only a small number of records. Each establishment was selected with two substitutes that can be used if it proves impossible to conduct an interview at the first establishment. In practice selection was confined to locations with the most records in the sample frame, so the sample frame was filtered to just the cities with the most establishments.

    The quality of the frame was assessed at the onset of the project. The frame proved to be useful though it showed positive rates of non-eligibility, repetition, non-existent units, etc. These problems are typical of establishment surveys. For Serbia, the percentage of confirmed non-eligible units as a proportion of the total number of contacts to complete the survey was 26.7% (82 out of 307 establishments).

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Two different versions of the questionnaire were used. Questionnaire A was used when interviewing establishments that are part of multiestablishment firms, while Questionnaire B was used when interviewing single-establishment firms. Questionnaire A incorporates all questions from Questionnaire B, the only difference is in the reference point, which is the so-called national firm in the first part of Questionnaire A and firm in Questionnaire B. Second part of the questionnaire refers to the interviewed establishment only in both Questionnaire A and Questionnaire B. Each variation of the questionnaire is identified by the index variable, a0.

    Response rate

    Item non-response was addressed by two strategies: - For sensitive questions that may generate negative reactions from the respondent, such as ownership information, enumerators were instructed to collect the refusal to respond as (-8). - Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary. However, there were clear cases of low response.

    Survey non-response was addressed by maximising efforts to contact establishments that were initially selected for interviews. Up to 15 attempts (but at least 4 attempts) were made to contact an establishment for interview at different times/days of the week before a replacement establishment (with similar characteristics) was suggested for interview. Survey non-response did occur, but substitutions were made in order to potentially achieve the goals.

    Additional information about sampling, response rates and survey implementation can be found in "MOI Survey Report on Methodology and Observations 2009" in "Technical Documents" folder.

  5. Market share of industrial information management software China 2018, by...

    • statista.com
    Updated Nov 19, 2021
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    Statista (2021). Market share of industrial information management software China 2018, by company [Dataset]. https://www.statista.com/statistics/1034276/china-market-share-of-industrial-information-management-software-based-on-sales-revenue/
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    Dataset updated
    Nov 19, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    China
    Description

    In 2018, Yonyou accounted for approximately sixteen percent of the industrial information management software market based on sales revenue in China. Generally speaking, industrial information management software refers to software dedicated to the industrial usage for improved research and development, manufacturing or quality of management.

  6. Leading machinery manufacturing companies on the Fortune China 500 List 2024...

    • statista.com
    Updated Dec 20, 2024
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    Leading machinery manufacturing companies on the Fortune China 500 List 2024 [Dataset]. https://www.statista.com/statistics/455104/china-fortune-500-leading-machinery-manufacturing-companies/
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    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    Based on the annual revenues of 500 companies, the Fortune China 500 ranking in 2024 revealed that China National Machinery Industry Corporation was the market leader in the Chinese machinery manufacturing industry. Ranking 82nd among all companies based in China, the conglomerate generated about 46.5 billion U.S. dollars in 2023.

  7. c

    Business structure database and office for national Statistics: Business...

    • datacatalogue.cessda.eu
    Updated Mar 5, 2025
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    Heppenstall, A (2025). Business structure database and office for national Statistics: Business flow matrix [Dataset]. http://doi.org/10.5255/UKDA-SN-851651
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    Dataset updated
    Mar 5, 2025
    Dataset provided by
    University of Leeds
    Authors
    Heppenstall, A
    Time period covered
    Oct 1, 2012 - Aug 30, 2014
    Area covered
    United Kingdom
    Variables measured
    Geographic Unit, Organization
    Measurement technique
    The data was supplied through the SDS.
    Description

    The Business Structure Database is managed by the Secure Data Service (SDS) and can only be accessed through secure conditions. The ‘domestic use’ input-output matrix, contains domestic trade flows describing intermediate demand between Standard-Industrial-Classification (SIC) coded sectors. This was obtained from the ONS.

    GRIT (‘Geospatial Restructuring of Industrial Trade’) is an ESRC-funded project in the School of Geography at the University of Leeds. An energy revolution must take place if the worst effects of climate change are to be avoided. Even without the impact this may have (eg through carbon pricing), fuel costs have a very uncertain future. GRIT has two aims:

    create a fine-grained picture of the current spatial structure of the UK economy

    consider how changing fuel prices could alter that structure over the long term. GRIT examines the web of connections between businesses in the UK to identify sectors and locations facing the greatest changes.

    GRIT will work with a unique dataset: the Business Structure Database contains information for nearly every UK business, including location and sector classification. This will be linked to sectoral trade flow data. These two sources offer an opportunity to map the current spatial distribution of economic activity in the UK and to think about how that distribution may change in the future. GRIT combines this data-driven approach with a plan to engage with organisations directly affected. GRIT will work closely with a small number of organisations and engage others through the project website.

  8. U.S. information industry revenue, by sector 2010

    • statista.com
    Updated Oct 19, 2010
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    Statista (2010). U.S. information industry revenue, by sector 2010 [Dataset]. https://www.statista.com/statistics/203158/distribution-of-us-information-industry-revenue-in-2010-by-sector/
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    Dataset updated
    Oct 19, 2010
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2010
    Area covered
    United States
    Description

    The statistic depicts the distribution of the information industry revenue (366 billion U.S. dollars) in the United States in 2010, by sector. 1.1 percent of the revenue went into the company information sector.

  9. J

    Jordan Number of Registered Companies: Industry

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Jordan Number of Registered Companies: Industry [Dataset]. https://www.ceicdata.com/en/jordan/number-of-registered-companies-annual/number-of-registered-companies-industry
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Jordan
    Variables measured
    Enterprises Statistics
    Description

    Jordan Number of Registered Companies: Industry data was reported at 2,189.000 Unit in 2017. This records a decrease from the previous number of 2,455.000 Unit for 2016. Jordan Number of Registered Companies: Industry data is updated yearly, averaging 1,381.000 Unit from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 2,455.000 Unit in 2016 and a record low of 467.000 Unit in 2000. Jordan Number of Registered Companies: Industry data remains active status in CEIC and is reported by Ministry of Industry and Trade. The data is categorized under Global Database’s Jordan – Table JO.O004: Number of Registered Companies: Annual.

  10. i

    Top 10 Manufacturing Companies in Iowa

    • industryselect.com
    Updated Mar 21, 2025
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    IndustrySelect (2025). Top 10 Manufacturing Companies in Iowa [Dataset]. https://www.industryselect.com/blog/top-10-manufacturing-companies-in-iowa
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    Dataset updated
    Mar 21, 2025
    Dataset provided by
    IndustrySelect
    License

    https://www.industryselect.com/licensehttps://www.industryselect.com/license

    Area covered
    Iowa
    Description

    Looking to do business in Iowa? Having a deep understanding of the state's manufacturing climate can help when it comes to talking to Iowa manufacturers. Today, we're exploring some key facts and insights on Iowa manufacturing and providing information on the ten largest factories in the state.

  11. A

    Australia No of Company: New Registered: All Industries

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Australia No of Company: New Registered: All Industries [Dataset]. https://www.ceicdata.com/en/australia/number-of-company-by-industry/no-of-company-new-registered-all-industries
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2013 - Jun 1, 2024
    Area covered
    Australia
    Variables measured
    Enterprises Statistics
    Description

    Australia Number of Company: New Registered: All Industries data was reported at 436,018.000 Unit in 2024. This records an increase from the previous number of 406,365.000 Unit for 2023. Australia Number of Company: New Registered: All Industries data is updated yearly, averaging 328,205.000 Unit from Jun 2008 (Median) to 2024, with 17 observations. The data reached an all-time high of 442,555.000 Unit in 2022 and a record low of 239,229.000 Unit in 2013. Australia Number of Company: New Registered: All Industries data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.O002: Number of Company: by Industry.

  12. i

    Top 10 Manufacturing Companies in Kentucky

    • industryselect.com
    Updated Nov 3, 2024
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    IndustrySelect (2024). Top 10 Manufacturing Companies in Kentucky [Dataset]. https://www.industryselect.com/blog/top-10-manufacturing-companies-in-kentucky
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    Dataset updated
    Nov 3, 2024
    Dataset provided by
    IndustrySelect
    License

    https://www.industryselect.com/licensehttps://www.industryselect.com/license

    Area covered
    Kentucky
    Description

    Looking to do business with Kentucky manufacturers? Having a deep understanding of the state's manufacturing climate can help when it comes to talking to Kentucky manufacturers. Today, we're exploring some key facts and insights on Kentucky manufacturing and providing information on the ten largest factories in the state.

  13. London Stock Exchange (UK): largest industrial companies 2024, by market cap...

    • statista.com
    Updated Nov 5, 2024
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    Statista (2024). London Stock Exchange (UK): largest industrial companies 2024, by market cap [Dataset]. https://www.statista.com/statistics/889576/industrial-companies-on-lse/
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    Dataset updated
    Nov 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    As of September 2024, CRH Plc was the leading company in the industrial goods and services sector on the London Stock Exchange (LSE), with a market capitalization of almost 46 billion British pounds. Second on the list was Rolls Royce Holdings Plc, with a value of 44 billion British pounds.

  14. a

    York Region 2022 Business Directory

    • data-markham.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Mar 22, 2023
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    The Regional Municipality of York (2023). York Region 2022 Business Directory [Dataset]. https://data-markham.opendata.arcgis.com/datasets/york::york-region-2022-business-directory
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    Dataset updated
    Mar 22, 2023
    Dataset authored and provided by
    The Regional Municipality of York
    Area covered
    Description

    Displays a representation of where all the surveyed businesses across York Region are located. This data is collected through the Region’s annual comprehensive employment survey and each record contains employment and business contact information about each business with the exception of home and farm-based businesses. Home-based businesses are not included as they are distributed throughout residential communities within the Region and are difficult to survey. Employment data for farm-based businesses are collected through the Census of Agriculture conducted by Statistics Canada, and are not included in the York Region Employment Survey dataset.Update Frequency: Not PlannedDate Created: 17/03/2023Date Modified: 17/03/2023Metadata Date: 17/03/2023Citation Contacts: York Region, Long Range PlanningAttribute DefinitionsBUSINESSID: Unique key to identify a business.NAME: The common business name used in everyday transactions. FULL_ADDRESS: Full street address of the physical address. (This field concatenates the following fields: Street Number, Street Name, Street Type, Street Direction)STREET_NUM: Street number of the physical addressSTREET_NAME: Street name of the physical addressSTREET_TYPE: Street type of the physical addressSTREET_DIR: Street direction of the physical addressUNIT_NUM: Unit number of the physical addressCOMMUNITY: Community name where the business is physically locatedMUNICIPALITY: Municipality where the business is physically locatedPOST_CODE: Postal code corresponding to the physical street addressEMPLOYEE_RANGE: The numerical range of employees working in a given firm. PRIM_NAICS, PRIM_NAICS_DESC: The Primary 5-digit NAIC code defines the main business activity that occurs at that particular physical business location.SEC_NAICS, SEC_NAICS_DESC: If there is more than one business activity occurring at a particular business location (that is substantially different from the primary business activity), then a secondary NAIC is assigned.PRIM_BUS_CLUSTER, SEC_BUS_CLUSTER: A business cluster is defined as a geographic concentration of interconnected businesses and institutions in a common industry that both compete and cooperate. As defined by York Region, this field indicates the primary business cluster that this business belongs to.BUS_ACTIVITY_DESC: This is a comment box with a detailed text description of the business activity.TRAFFIC_ZONE: Specifies the traffic zone in which the business is located. MANUFACTURER: Indicates whether or not the business manufactures at the physical business location. CAN_HEADOFFICE: The business at this location is considered the Canadian head office.HEADOFFICEPROVSTATE: Indicates which state or province the head office is located if the head office is located in Canada (outside of Ontario) or in the United StatesHEADOFFICECOUNTRY: Indicates which country the head office is locatedYR_CURRENTLOC: Indicates the year that the business moved into its current address.MAIL_FULL_ADDRESS: The mailing address is the address through which a business receives postal service. This may or may not be the same as the physical street address.MAIL_STREET_NUM, MAIL_STREET_NAME, MAIL_STREET_TYPE, MAIL_STREET_DIR, MAIL_UNIT_NUM, MAIL_COMMUNITY, MAIL_MUNICIPALITY, MAIL_PROVINCE, MAIL_COUNTRY, MAIL_POST_CODE, MAIL_POBOX: Mailing address fields are similar to street address fields and in most cases will be the same as the Street Address. Some examples where the two addresses might not be the same include, multiple location businesses, home-based businesses, or when a business receives mail through a P.O. Box.WEBSITE: The General/Main business website.GEN_BUS_EMAIL: The general/main business e-mail address for that location.PHONE_NO: The general/main phone number for the business location.PHONE_EXT: The extension (if any) for the general/main business phone number.LAST_SURVEYED: The date the record was last surveyedLAST_UPDATED: The date the record was last updatedUPDATEMETHOD: Displays how the business was last updated, based on a predetermined list.X_COORD, Y_COORD: The x,y coordinates of the surveyed business locationFrequently Asked Questions How many businesses are included in the 2022 York Region Business Directory? The 2022 York Region Business Directory contains just over 34,000 business listings. In the past, businesses were annually surveyed, either in person or by telephone to improve the accuracy of the directory. Due to the COVID-19 Pandemic, a survey was not complete in 2020 and 2021. The Region may return to annual surveying in future years, however the next employment survey will be in 2024. This listing also includes home-based businesses that participated in the 2022 employment survey. What is a NAIC code? The North American Industrial Classification (NAIC) coding system is a hierarchical classification system developed in Canada, Mexico and the United States. It was developed to allow for the comparison of business and employment information across a variety of industry categories. The NAICS has a hierarchical structure, designed as follows: Two-digits = sector (e.g., 31-33 contain the Manufacturing sectors) Three-digits = subsector (e.g., 336 = Transportation Equipment Manufacturing) Four-digits = industry group (e.g., 3361 = Motor Vehicle Manufacturing) Five-digits = industry (e.g., 33611 = Automobile and Light Duty Motor Vehicle Manufacturing) For more information on the NAIC coding system click here How do I add or update my business information in the York Region Business Directory? To add or update your business information, please select one of the following methods: • Email: Please email businessdirectory@york.ca to request to be added to the Business Directory. • Online: Go to www.york.ca/employmentsurvey and participate in the employment survey - note, this will only be active in 2024 when the Region performs its next employment survey There is no charge for obtaining a basic listing of your business in the York Region Business Directory. How up-to-date is the information? This directory is based on the 2022 York Region Employment Survey, a survey of businesses which attempts to gather information from all businesses across York Region. In instances where we were unable to gather information, the most recent data was used. Farm-based businesses have not been included in the survey and home-based businesses that participated in the 2022 survey are included in the dataset. The date that the business listing was last updated is located in the LastUpdate column in the attached spreadsheet. Are different versions of the York Region Business Directory available? Yes, the directory is available in two online formats: • An interactive, map-based directory searchable by company name, street address, municipality and industry sector. • The entire dataset in downloadable Microsoft Excel format via York Region's Open Data Portal. This version of the York Region Business Directory 2022 is offered free of charge. The Directory allows for the detailed analysis of business and employment trends, as well as the construction of targeted contact lists. To view the map-based directory and dataset, go to: 2022 Business Directory - Map Is there any analysis of business and employment trends in York Region? Yes. The "2022 Employment and Industry Report" contains information on employment trends in York Region and is based on results from the employment survey. please visit www.york.ca/york-region/plans-reports-and-strategies/employment-and-industry-report to view the report. What other resources are available for York Region businesses? York Region offers an export advisory service and a number of other business development programs and seminars for interested individuals. For details, consult the York Region Economic Strategy Branch. Who do I contact to obtain more information about the Directory? For more information on the York Region Business Directory, contact the Planning and Economic Development Branch at: businessdirectory@york.ca.

  15. Company Financial Data | Private & Public Companies | Verified Profiles &...

    • datarade.ai
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    Success.ai, Company Financial Data | Private & Public Companies | Verified Profiles & Contact Data | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-contact-data-premium-us-contact-data-us-b2b-contact-d-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Dominican Republic, Guam, Suriname, Togo, Montserrat, Iceland, Georgia, Antigua and Barbuda, United Kingdom, Korea (Democratic People's Republic of)
    Description

    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...

  16. U

    United States Industrial Production Nowcast: sa: YoY: Contribution: Business...

    • ceicdata.com
    Updated Mar 17, 2025
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    CEICdata.com (2024). United States Industrial Production Nowcast: sa: YoY: Contribution: Business Cycle Indicators: Financial Stress Index (STLFSI4) [Dataset]. https://www.ceicdata.com/en/united-states/ceic-nowcast-industrial-production/industrial-production-nowcast-sa-yoy-contribution-business-cycle-indicators-financial-stress-index-stlfsi4
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    Dataset updated
    Mar 17, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 30, 2024 - Mar 17, 2025
    Area covered
    United States
    Description

    United States Industrial Production Nowcast: sa: YoY: Contribution: Business Cycle Indicators: Financial Stress Index (STLFSI4) data was reported at 0.000 % in 17 Mar 2025. This stayed constant from the previous number of 0.000 % for 10 Mar 2025. United States Industrial Production Nowcast: sa: YoY: Contribution: Business Cycle Indicators: Financial Stress Index (STLFSI4) data is updated weekly, averaging 0.000 % from Feb 2020 (Median) to 17 Mar 2025, with 265 observations. The data reached an all-time high of 2.097 % in 11 Nov 2024 and a record low of 0.000 % in 17 Mar 2025. United States Industrial Production Nowcast: sa: YoY: Contribution: Business Cycle Indicators: Financial Stress Index (STLFSI4) data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Industrial Production.

  17. Ministry of Economic Affairs - Qianzhen Science and Technology Industrial...

    • data.gov.tw
    csv
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    Bureau of Industrial Parks, Ministry of Economic Affairs, Ministry of Economic Affairs - Qianzhen Science and Technology Industrial Park Zone Business Directory Information [Dataset]. https://data.gov.tw/en/datasets/22306
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    csvAvailable download formats
    Dataset authored and provided by
    Bureau of Industrial Parks, Ministry of Economic Affairs
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Provide the directory information for businesses within the Kaohsiung Park area.

  18. The Business Contact Directory of the Taichung Port Science Park Operations...

    • data.gov.tw
    csv
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    Bureau of Industrial Parks, Ministry of Economic Affairs, The Business Contact Directory of the Taichung Port Science Park Operations Office of the Industrial Development Bureau, Ministry of Economic Affairs [Dataset]. https://data.gov.tw/en/datasets/22290
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    Bureau of Industrial Parks, Ministry of Economic Affairs
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Provide detailed information on the list of contact offices and vendors in the mainland and Hong Kong parks.

  19. V

    Vietnam No of Enterprise: TS: ytd: Industry: Manufacturing

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Vietnam No of Enterprise: TS: ytd: Industry: Manufacturing [Dataset]. https://www.ceicdata.com/en/vietnam/company-statistics/no-of-enterprise-ts-ytd-industry-manufacturing
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Vietnam
    Variables measured
    Enterprises Statistics
    Description

    Vietnam Number of Enterprise: TS: Year to Date: Industry: Manufacturing data was reported at 6,568.000 Unit in Feb 2025. This records an increase from the previous number of 6,113.000 Unit for Jan 2025. Vietnam Number of Enterprise: TS: Year to Date: Industry: Manufacturing data is updated monthly, averaging 4,699.000 Unit from Jan 2018 (Median) to Feb 2025, with 86 observations. The data reached an all-time high of 11,559.000 Unit in Dec 2024 and a record low of 1,129.000 Unit in Jan 2018. Vietnam Number of Enterprise: TS: Year to Date: Industry: Manufacturing data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.O034: Company Statistics. [COVID-19-IMPACT]

  20. Seair Exim Solutions

    • seair.co.in
    Updated Jan 21, 2024
    + more versions
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    Seair Exim (2024). Seair Exim Solutions [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 21, 2024
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

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BoldData (2021). List of 22M Manufacturing companies worldwide [Dataset]. https://datarade.ai/data-products/list-of-22m-manufacturing-companies-worldwide-bolddata

List of 22M Manufacturing companies worldwide

Explore at:
.json, .csv, .xls, .txtAvailable download formats
Dataset updated
Apr 29, 2021
Dataset authored and provided by
BoldData
Area covered
Ethiopia, Guyana, Western Sahara, Poland, Luxembourg, Tanzania, Antarctica, Mali, Guam, South Sudan, World
Description

With over 22 million businesses, all held in-house, BoldData has the largest supply of manufacturing data. We can select your perfect target based on numerous interesting selections: from 3.000 industries to region, turnover, sector, contact person and the number of employees.

Other questions or are you looking for another city or country? Our data experts are specialized in supervising international campaigns. We have specific direct marketing knowledge per country and have highly accurate data of 300 million companies in 150+ countries. Contact us for free tailor-made advice and an independent quote.

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