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

All Active businesses - Principal Place of Business address, Mailing address, Registered Agent, Authorized Representative.

Listing of all active businesses currently registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

Location includes a wealth of point of interest information, complete with detailed metadata. This helps businesses in various industries—from retail and logistics to fintech and quick-service restaurants—to make data-driven decisions.

dataplor’s Point of Interest (POI) data offers a rich set of 55+ attributes that provide in-depth insights into each location.

Key data attributes include:

• Business name
• Business Category
• Product Category
• Address
• Latitude and longitude
• NAIC
• SIC
• H3 Index
• Phone number
• Website
• Opening hours
• Visitation metrics

Business Listings Database is the source of point-of-interest data and can provide you with all the information you need to analyze how specific places are used, what kinds of audiences they attract, and how their visitor profile changes over time.

The full fields description may be found on this page: https://docs.dataforseo.com/v3/databases/business_listings/?bash

This dataset contains the owner information for all the accounts listed in the Business License Dataset, and is sorted by Account Number. To identify the owner of a business, you will need the account number or legal name, which may be obtained from theBusiness Licenses dataset: https://data.cityofchicago.org/dataset/Business-Licenses/r5kz-chrr. Data Owner: Business Affairs & Consumer Protection. Time Period: 2002 to present. Frequency: Data is updated daily.

Connect with our experts for Business Listings Data, Map Data, and Location Data solutions! Discover invaluable insights with our B2B Marketing Data. Explore comprehensive Location POI Data spanning 180+ countries, backed by continuous coverage since 2019.

Current active liquor and public place of amusement business licenses issued by the Department of Business Affairs and Consumer Protection in the City of Chicago. This dataset contains a large number of records/rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types may file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: 'AAI' means the license was issued.

Business License Owner information may be accessed at: https://data.cityofchicago.org/dataset/Business-Owners/ezma-pppn. To identify the owner of a business, you will need the account number or legal name, which may be obtained from this Business Licenses dataset.

Data Owner: Business Affairs and Consumer Protection

Time Period: January 1, 2006 to present

Frequency: Data is updated daily

This dataset includes Business Parks located within Montgomery County. It was developed and is maintained by TEBS-GIS. This dataset satisfies County basemap accuracy requirements (1:2400) and is included in the Places of Interest Guide.This data is used both by Government and the public. The Places of Interest Guide can be used to find a Place of Interest within Montgomery County, Maryland by address, by title, by place name or city, or by category. Once you've located the place of interest, then you can generate travel directions, time estimates, maps and distances.

This dataset provides comprehensive local business and point of interest (POI) data from Google Maps in real-time. It includes detailed business information such as addresses, websites, phone numbers, emails, ratings, reviews, business hours, and over 40 additional data points. Perfect for applications requiring local business data (b2b lead generation, b2b marketing), store locators, and business directories. The dataset is delivered in a JSON format via REST API.

This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: 'AAI' means the license was issued.

Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.

Data Owner: Business Affairs and Consumer Protection

Time Period: Current

Frequency: Data is updated daily

With 1.9 Million Businesses in Norway , 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 can 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 regions and cities in Noway. Example :

Example of cities :

Oslo Oslo
Bergen Bergen
Trondheim Trondheim Stavanger Stavanger Drammen Drammen Fredrikstad Fredrikstad Kristiansand Kristiansand
Sandnes Sandnes Tromso Tromsø
Sarpsborg Sarpsborg Skien Skien

Regions : Northern Norway, Trøndelag, Western Norway, Southern Norway and Eastern Norway.

Release Date: 2015-12-15.[NOTE: Includes firms with paid employees and firms with no paid employees. Data are based on the 2012 Economic Census, and the estimates of business ownership by gender, ethnicity, race, and veteran status are from the 2012 Survey of Business Owners. Detail may not add to total due to rounding or because a Hispanic firm may be of any race. Moreover, each owner had the option of selecting more than one race and therefore is included in each race selected. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology.]..Table Name. . Statistics for All U.S. Firms by Industry, Gender, Ethnicity, and Race for the U.S., States, Metro Areas, Counties, and Places: 2012. ..Release Schedule. . This file was released in December 2015. Included are statistics for:. . Women-Owned Firms (WMN). Hispanic-Owned Firms (HISP). Black-Owned Firms (BLK). American Indian- and Alaska Native-Owned Firms (AIAN). Asian-Owned Firms (ASIAN). Native Hawaiian- and Other Pacific Islander-Owned Firms (NHPI). Company Summary (CS) -- Includes estimates for minority- and nonminority-owned firms. . ..Key Table Information. . This data supersedes all preliminary results released on August 18, 2015, and is related to all other 2012 SBO files.. Refer to the Methodology section of the Survey of Business Owners website for additional information.. ..Universe. . The universe for the 2012 Survey of Business Owners (SBO) includes all U.S. firms operating during 2012 with receipts of $1,000 or more which are classified in the North American Industry Classification System (NAICS) sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. total.. ..Geographic Coverage. . The data are shown for:. . United States. States and the District of Columbia. Metropolitan Areas, including:. . Combined Statistical Areas. Metropolitan and Micropolitan Statistical Areas. Metropolitan divisions. . . Counties. Places. . ..Industry Coverage. . The data are shown for the total of all sectors (00) and the 2-, 3-, 4-, 5-, and 6-digit NAICS code levels for:. . United States. States and the District of Columbia. . The data are shown for the total of all sectors (00) and the 2-digit NAICS code levels for:. . Metropolitan Areas, including:. . Combined Statistical Areas. Metropolitan and Micropolitan Statistical Areas. Metropolitan divisions. . . Counties. Places. . ..Data Items and Other Identifying Records. . Statistics for All U.S. Firms by Industry, Gender, Ethnicity, and Race for the U.S., States, Metro Areas, Counties, and Places: 2012 contains data on:. . Numbers of all firms, firms with paid employees, and firms with no paid employees. Sales and receipts for all firms, firms with paid employees, and firms with no paid employees. Number of employees for firms with paid employees. Annual payroll for firms with paid employees. . The data are shown for:. . All firms classifiable by gender, ethnicity, race, and veteran status. . Gender. . Female-owned. Male-owned. Equally male-/female-owned. . . Ethnicity. . Hispanic. . Mexican, Mexican American, Chicano. Puerto Rican. Cuban. Other Hispanic, Latino, or Spanish origin. . . Equally Hispanic/non-Hispanic. Non-Hispanic. . . Race. . White. Black or African American. American Indian and Alaska Native. Asian. . Asian Indian. Chinese. Filipino. Japanese. Korean. Vietnamese. Other Asian. . . Native Hawaiian and Other Pacific Islander. . Native Hawaiian. Samoan. Guamanian or Chamorro. Other Pacific Islander. . . S...

Our Places Data is designed to help you make informed decisions and identify prime investment opportunities for your brand and business.

Access the most detailed information on any company’s locations: Our Point of Interest (POI) Data includes our Popularity and Sentiment Data to provide you with all the insights you need: from estimating foot traffic in any area to accessing customer insights.

Fresh & Reliable: We specialize in delivering up-to-date and reliable Point of Interest (POI) Data. Our Historical Business Listings Data covers up to 5 years and enables trend analysis.

Granularity: Our Store Location Data offers remarkable granularity, delivered at tile 14 (about 750x750 meters), and finer granularity options at no extra cost.

Comprehensive GDPR-Compliant Business Listings Data: Our commitment to data security ensures GDPR compliance.

Seamless Visualization: Our user-friendly .csv data packages seamlessly integrate with popular GIS systems like Esri, QGIS, Carto, and more.

Trust in 251M+ global POI locations, real-time sentiment analysis, and coverage since 2019.

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All business is local : why place matters more than ever in a global, virtual world is a book. It was written by John A. Quelch and published by Portfolio Penguin in 2012.

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.

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.

Abstract

The 2023 Central African Republic Informal Sector Enterprise Survey was conducted by the World Bank Group's (WBG) Enterprise Analysis Unit (DECEA) in several cities in the Central African Republic. The survey covers the following cities: Bangui and Berberati. The fieldwork was implemented by TNS RMS Senegal partnership with a sub-contractor company named Pongsong Research Consulting (PORECO) S.A.R.L., and the data was collected between December 2022 and May 2023.

The primary objectives of the Informal Sector Enterprise Surveys are to: i) understand demographics of the informal sector in the covered cities, ii) describe the environment within which these businesses operate, and iii) enable data analysis based on the samples that are representative at each city level.

Geographic coverage

Cities in the Central African Republic: Bangui and Berberati

Analysis unit

• Informal business

Universe

The Informal Sector Enterprise Surveys cover all informal businesses within a well-defined geographic area, typically a city. All eligible businesses are considered as forming the universe of inference for the survey. Informality is defined as all businesses that are not legally registered with the government and, therefore, are excluded from taxation. The exact details of these criteria vary by country. For the 2023 Informal Sector Enterprise Surveys in cities in the Central African Republic, a business is considered informal if it is not registered with the Guichet Unique de formalité des Entreprises (GUFE). Thus, the universe of the survey includes all businesses that meet the above definition of informality, including all sectors of activity of any size. The universe excludes, however, any illicit or illegal activity.

Kind of data

Sample survey data [ssd]

Sampling procedure

A challenge to conducting a representative survey of informal sector businesses is the lack of a proper sampling frame since these businesses are not registered and, therefore, they are almost always absent from official registries or any other potential sampling frame. The Informal Sector Enterprise Surveys follow an area-based sampling methodology. Each city is overlayed with a spatial grid, dividing the area into squares of equal size. In the case of the 2023 Informal Sector Enterprise Surveys in cities in the Central African Republic, these squares measured 150 meters by 150 meters. This spatial grid is prepared using GIS software. Often, the boundaries of the city match a set of administrative boundaries.

Note: Detailed sampling methodology can be found on the Enterprise Surveys website under the Informal Businesses section, Methodology page (https://www.enterprisesurveys.org/en/informal-businesses/methodology).

Mode of data collection

Computer Assisted Personal Interview [capi]

CN: Postal: Business Revenue: ytd: Express: Jiangsu: Yangzhou data was reported at 669.364 RMB mn in May 2018. This records an increase from the previous number of 520.895 RMB mn for Apr 2018. CN: Postal: Business Revenue: ytd: Express: Jiangsu: Yangzhou data is updated monthly, averaging 349.221 RMB mn from May 2013 (Median) to May 2018, with 34 observations. The data reached an all-time high of 932.310 RMB mn in Dec 2015 and a record low of 48.435 RMB mn in Jan 2014. CN: Postal: Business Revenue: ytd: Express: Jiangsu: Yangzhou data remains active status in CEIC and is reported by State Post Bureau. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TK: Express: Business Revenue: By City (Top 50 Cities).

Postal: Business Revenue: Year to Date: Express: Liaoning: Shenyang data was reported at 10,610.000 RMB mn in Dec 2024. This records an increase from the previous number of 9,610.000 RMB mn for Nov 2024. Postal: Business Revenue: Year to Date: Express: Liaoning: Shenyang data is updated monthly, averaging 1,634.164 RMB mn from May 2013 (Median) to Dec 2024, with 140 observations. The data reached an all-time high of 10,610.000 RMB mn in Dec 2024 and a record low of 87.205 RMB mn in Jan 2014. Postal: Business Revenue: Year to Date: Express: Liaoning: Shenyang data remains active status in CEIC and is reported by State Post Bureau. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TK: Express: Business Revenue: By City (Top 50 Cities).