Percentage of total businesses that are classified as small, meaning businesses with between one and 49 employees. Excludes businesses that cannot be classified into an industry. Statistics Canada does not recommend expressing this in a time series, as major methodological changes occur over time -- please keep this in mind when interpreting changes in this dataset.

This data consists of all incoming inquiries submitted through the Zendesk ticket system and assigned to CalOSBA from March through August, 2020. Download this file to access ticket subject, region of the state, and zip code.

The dataset provided by JoPilot, created in May 2023, contains information on the number of jobs by company and city in California. The data provides a comprehensive view of the job market, highlighting the companies and cities that have the highest number of job opportunities.

The dataset includes a list of companies and the number of jobs they offer in different cities.

The dataset provides valuable insights for job seekers, employers, and policymakers. It can help job seekers to identify companies and cities with the highest job opportunities in their preferred industry and location. Employers can use the data to understand the competitive landscape and adjust their recruitment strategies accordingly. Policymakers can leverage the information to develop policies that promote job growth and economic development in different regions.

Overall, the JoPilot dataset is a valuable resource for anyone interested in the job market and provides a comprehensive view of the employment landscape across different industries and regions.

Dataset Columns:

1. Company name
2. City
3. State
4. Jobs in total

This Dataset contains review information on Google map (ratings, text, images, etc.), business metadata (address, geographical info, descriptions, category information, price, open hours, and MISC info), and links (relative businesses) up to Sep 2021 in California.

Please note, this is a subset of the orginal datset found here. You can find other federal states there.

Format is one-review-per-line in json. See examples below for further help reading the data.

{
 'user_id': '106533466896145407182', 
 'name': 'Amy VG', 
 'time': 1568748357166, 
 'rating': 5, 
 'text': "I can't say I've ever been excited about a dentist visit before, but there's a first for everything! Loved my experience at Lush today. Every person in the office was friendly and personable- plus the office itself is gorgeous! Great experience, I highly recommend!", 
 'pics': [
 {
  'url': ['https://lh5.googleusercontent.com/p/AF1QipMBzN4BJV9YCObcw_ifNzFPm-u38hO3oimOA8Fb=w150-h150-k-no-p']
 }, 
 {
  'url': ['https://lh5.googleusercontent.com/p/AF1QipNS1PEXEvadfUlhRkRDJ09id
  Mxh3CveZGZYuTo5=w150-h150-k-no-p']
 }
 ], 
 'resp': {
  'time': 1568770503975, 
  'text': 'We love getting to meet new patients like yourself. Thanks for giving our office a chance to take care of your dental needs and thanks for the nice review!'
 }, 
 'gmap_id': '0x87ec2394c2cd9d2d:0xd1119cfbee0da6f3'
}
{
 'user_id': '101463350189962023774', 
 'name': 'Jordan Adams', 
 'time': 1627750414677, 
 'rating': 5, 
 'text': 'Cool place, great people, awesome dentist!', 
 'pics': [
 {
  'url': ['https://lh5.googleusercontent.com/p/AF1QipNq2nZC5TH4_M7h5xRAd
  61hoTgvY1o9lozABguI=w150-h150-k-no-p']
 }
 ], 
 'resp': {
  'time': 1628455067818, 
  'text': 'Thank you for your five-star review! -Dr. Blake'
 }, 
 'gmap_id': '0x87ec2394c2cd9d2d:0xd1119cfbee0da6f3'
}

where

user_id - ID of the reviewer name - name of the reviwer time - time of the review (unix time) rating - rating of the business text - text of the review pics - pictures of the review resp - business response to the review including unix time and text of the response gmap_id - ID of the business

Citations

UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining Jiacheng Li, Jingbo Shang, Julian McAuley Annual Meeting of the Association for Computational Linguistics (ACL), 2022 pdf Personalized Showcases: Generating Multi-Modal Explanations for Recommendations An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian Mcauley The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 pdf

Acknowlegement

Foto von Maarten van den Heuvel auf Unsplash

Personal Location Data Market

Data From: "There’s a Multibillion-Dollar Market for Your Phone’s Location Data"

Original source. Author: The Markup

About this dataset

There’s a multibillion-dollar market for your phone’s location data. We surveyed 100 companies to find out who they are, what they do with your data, and whether they follow best practices.

Your phone’s location is constantly being tracked and collected by hundreds of companies, many of which are unknown to you. This data is valuable—and it’s being bought and sold in a thriving industry with little regulation.

The Markup surveyed 100 companies that collect or sell location data to get a better understanding of this industry and what it means for your privacy. We asked these companies about their policies and practices around collecting, using, and selling location data. We also reviewed their public statements and website disclosures related to privacy.

What we found was an industry that lacks transparency and accountability, with few companies following best practices around protecting the privacy of their users’ data. In many cases, these companies are collecting more data than they need, retaining it for longer than necessary, sharing it with third parties without user consent, or failing to secure it properly—putting users at risk of identity theft, fraud, or other harms.

If you care about your privacy, you should know who has access to your location data—and what they’re doing with it. This dataset contains information on the 100 companies we surveyed so that you can make informed choices about which ones to trust with your personal data

How to use the dataset

This dataset contains information on companies that collect and sell location data. The data includes the company name, website, logo, narrative, company response, privacy email, privacy policy, and whether or not the company is a California-licensed data broker

Research Ideas

• To study how location data is collected and sold
• To understand the business model of location data companies
• To learn about the privacy policies of these companies

Acknowledgements

This dataset was compiled and analyzed by The Markup. The Markup is a nonprofit newsroom that investigates how powerful institutions impact our lives

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: location-data-companies.csv | Column name | Description | |:-------------------|:--------------------------------------------------------------------| | name | The name of the company. (String) | | website | The company's website. (String) | | logo | The company's logo. (String) | | narrative | A description of the company. (String) | | privacy_email | The company's privacy email address. (String) | | privacy_policy | The company's privacy policy. (String) | | CA_broker | Whether the company is a California-licensed data broker. (Boolean) |

New products businesses have begun manufacturing, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership.

This table includes total expenses, cost of sales (direct expenses), wages and benefits, purchases, materials and sub-contracts, opening inventory, closing inventory, operating expenses (indirect expenses), labour and commissions, amortization and depletion, repairs and maintenance, utilities and telephone and telecommunication, rent, interest and bank charges, advertising and promotion, delivery and shipping and warehouse, insurance, other indirect expenses, net profit or loss. All incorporation statuses. Values are averages in current dollars unless otherwise stated.

The SME data warehouse is based on existing administrative data sources from Statistics Canada and Canada Revenue Agency. Data covers tax year 2001 to tax year 2006. The SME Data Warehouse contains a complete, up to date and unduplicated list of all businesses in Canada based on Statistics Canada's Business Register for tax years 2001-2006. This product currently produces data for Small and Medium Sized Enterprises (SMEs). SMEs are defined as enterprises with less than 250 employees and less than $50 million in total revenue.

With 56 Million Businesses in the United States of America, Techsalerator has access to the highest B2B count of Data/ Business Data in the country.

Thanks to our unique tools and large data specialist team, we are able to select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

We cover all states and cities in the country : Example covered.

All states :

Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware Florida Georgia Hawaii Idaho IllinoisIndiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri MontanaNebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon PennsylvaniaRhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming

A few cities : New York City NY Los Angeles CA Chicago IL Houston TX Phoenix AZ Philadelphia PA San Antonio TX San Diego CA Dallas TX Austin TX San Jose CA Fort Worth TX Jacksonville FL Columbus OH Charlotte NC Indianapolis IN San Francisco CA Seattle WA Denver CO Washington DC Boston MA El Paso TX Nashville TN Oklahoma City OK Las Vegas NV Detroit MI Portland OR Memphis TN Louisville KY Milwaukee WI Baltimore MD Albuquerque NM Tucson AZ Mesa AZ Fresno CA Sacramento CA Atlanta GA Kansas City MO Colorado Springs CO Raleigh NC Omaha NE Miami FL Long Beach CA Virginia Beach VA Oakland CA Minneapolis MN Tampa FL Tulsa OK Arlington TX Wichita KS Bakersfield CA Aurora CO New Orleans LA Cleveland OH Anaheim CA Henderson NV Honolulu HI Riverside CA Santa Ana CA Corpus Christi TX Lexington KY San Juan PR Stockton CA St. Paul MN Cincinnati OH Greensboro NC Pittsburgh PA Irvine CA St. Louis MO Lincoln NE Orlando FL Durham NC Plano TX Anchorage AK Newark NJ Chula Vista CA Fort Wayne IN Chandler AZ Toledo OH St. Petersburg FL Reno NV Laredo TX Scottsdale AZ North Las Vegas NV Lubbock TX Madison WI Gilbert AZ Jersey City NJ Glendale AZ Buffalo NY Winston-Salem NC Chesapeake VA Fremont CA Norfolk VA Irving TX Garland TX Paradise NV Arlington VA Richmond VA Hialeah FL Boise ID Spokane WA Frisco TX Moreno Valley CA Tacoma WA Fontana CA Modesto CA Baton Rouge LA Port St. Lucie FL San Bernardino CA McKinney TX Fayetteville NC Santa Clarita CA Des Moines IA Oxnard CA Birmingham AL Spring Valley NV Huntsville AL Rochester NY Cape Coral FL Tempe AZ Grand Rapids MI Yonkers NY Overland Park KS Salt Lake City UT Amarillo TX Augusta GA Columbus GA Tallahassee FL Montgomery AL Huntington Beach CA Akron OH Little Rock AR Glendale CA Grand Prairie TX Aurora IL Sunrise Manor NV Ontario CA Sioux Falls SD Knoxville TN Vancouver WA Mobile AL Worcester MA Chattanooga TN Brownsville TX Peoria AZ Fort Lauderdale FL Shreveport LA Newport News VA Providence RI Elk Grove CA Rancho Cucamonga CA Salem OR Pembroke Pines FL Santa Rosa CA Eugene OR Oceanside CA Cary NC Fort Collins CO Corona CA Enterprise NV Garden Grove CA Springfield MO Clarksville TN Bayamon PR Lakewood CO Alexandria VA Hayward CA Murfreesboro TN Killeen TX Hollywood FL Lancaster CA Salinas CA Jackson MS Midland TX Macon County GA Kansas City KS Palmdale CA Sunnyvale CA Springfield MA Escondido CA Pomona CA Bellevue WA Surprise AZ Naperville IL Pasadena TX Denton TX Roseville CA Joliet IL Thornton CO McAllen TX Paterson NJ Rockford IL Carrollton TX Bridgeport CT Miramar FL Round Rock TX Metairie LA Olathe KS Waco TX

This dataset provides detailed information on some of the most influential companies located in Silicon Valley, California. It includes essential details such as company names, websites, addresses, geographic coordinates, and brief descriptions of their focus and activities. Whether you’re interested in venture capital firms, tech companies, or product management consultants, this dataset offers a snapshot of the diverse business ecosystem in the region.

Businesses registered with the Secretary of State Corporation Division during the month of September.

This table includes percent of profitable businesses; total revenue, total expenses, and net profit (profitable businesses); total revenue, total expenses, and net loss (non-profitable businesses). All businesses only. Values are averages in current dollars unless otherwise stated.

This table includes interest coverage ratio and gross margin. Unincorporated and all businesses only. Values are averages in current dollars unless otherwise stated.

This table includes total assets, total current assets, accounts receivable, closing inventory, other current assets, net tangible and intangible assets, long term assets, total liabilities, total current liabilities, current bank loans, other current liabilities, long term liabilities and total equity. Incorporated businesses only. Values are averages in current dollars unless otherwise stated.

Comprehensive dataset containing 496 verified Local government office businesses in California, United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 1,351 verified Media company businesses in California, United States with complete contact information, ratings, reviews, and location data.

The annual Small Business Procurement Scorecard is an assessment tool to (1) measure how well federal agencies reach their small business and socio-economic prime contracting and subcontracting goals, (2) provide accurate and transparent contracting data and (3) report agency-specific progress. The prime and subcontracting component goals include goals for small businesses, small businesses owned by women (WOSB), small disadvantaged businesses (SDB), service-disabled veteran-owned small businesses (SDVOSB), and small businesses located in Historically Underutilized Business Zones (HUBZones). Each federal agency has a different small business contracting goal, negotiated annually in consultation with SBA. SBA ensures that the sum total of all of the goals exceeds the 23 percent target established by law.

This dataset contains a list of companies that received funding under the sub-program "New business and start-ups" and completed their projects in 2014-2015 and continued to exist three years after the end of the project.

Details about the registrants in the community small business investment funds program. The data contains: * registrant name * address * contact information * registration date * registration number * status About the community small business investment fund program

Total Number of Businesses