100+ datasets found
  1. d

    Phone Number Data | APAC | 100M+ B2B Mobile Phone Numbers | 95%+ Accuracy

    • datarade.ai
    .json, .csv
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    Forager.ai, Phone Number Data | APAC | 100M+ B2B Mobile Phone Numbers | 95%+ Accuracy [Dataset]. https://datarade.ai/data-products/apac-b2b-mobile-data-90m-95-accuracy-api-bi-weekly-up-forager-ai
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Forager.ai
    Area covered
    Bhutan, Libya, San Marino, Ghana, Uruguay, Belarus, El Salvador, Bahamas, Burkina Faso, Georgia
    Description

    Global B2B Mobile Phone Number Database | 100M+ Verified Contacts | 95% Accuracy Forager.ai provides the world’s most reliable mobile phone number data for businesses that refuse to compromise on quality. With 100 million+ professionally verified mobile numbers refreshed every 3 weeks, our database ensures 95% accuracy – so your teams never waste time on dead-end leads.

    Why Our Data Wins ✅ Accuracy You Can Trust 95% of mobile numbers are verified against live carrier records and tied to current job roles. Say goodbye to “disconnected number” voicemails.

    ✅ Depth Beyond Digits Each contact includes 150+ data points:

    Direct mobile numbers

    Current job title, company, and department

    Full career history + education background

    Location data + LinkedIn profiles

    Company size, industry, and revenue

    ✅ Freshness Guaranteed Bi-weekly updates combat job-hopping and role changes – critical for sales teams targeting decision-makers.

    ✅ Ethically Sourced & Compliant First-party collected data with full GDPR/CCPA compliance.

    Who Uses This Data?

    Sales Teams: Cold-call C-suite prospects with verified mobile numbers.

    Marketers: Run hyper-personalized SMS/WhatsApp campaigns.

    Recruiters: Source passive candidates with up-to-date contact intel.

    Data Vendors: License premium datasets to enhance your product.

    Tech Platforms: Power your SaaS tools via API with enterprise-grade B2B data.

    Flexible Delivery, Instant Results

    API (REST): Real-time integration for CRMs, dialers, or marketing stacks

    CSV/JSON: Campaign-ready files.

    PostgreSQL: Custom databases for large-scale enrichment

    Compliance: Full audit trails + opt-out management

    Why Forager.ai? → Proven ROI: Clients see 62% higher connect rates vs. industry averages (request case studies). → No Guesswork: Test-drive free samples before committing. → Scalable Pricing: Pay per record, license datasets, or get unlimited API access.

    B2B Mobile Phone Data | Verified Contact Database | Sales Prospecting Lists | CRM Enrichment | Recruitment Phone Numbers | Marketing Automation | Phone Number Datasets | GDPR-Compliant Leads | Direct Dial Contacts | Decision-Maker Data

    Need Proof? Contact us to see why Fortune 500 companies and startups alike trust Forager.ai for mission-critical outreach.

  2. d

    B2B Leads Database | 500M+ B2B Contact Profiles | 100M+ B2B Mobile Numbers |...

    • datarade.ai
    .csv, .xls
    Updated Feb 24, 2022
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    Lead for Business (2022). B2B Leads Database | 500M+ B2B Contact Profiles | 100M+ B2B Mobile Numbers | 100% Real-Time Verified Contact Data [Dataset]. https://datarade.ai/data-products/b2b-leads-database-b2b-contact-database-b2b-contact-direc-lead-for-business
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    .csv, .xlsAvailable download formats
    Dataset updated
    Feb 24, 2022
    Dataset authored and provided by
    Lead for Business
    Area covered
    Finland, Palestine, Isle of Man, Jersey, Martinique, Northern Mariana Islands, Armenia, South Sudan, Mozambique, Trinidad and Tobago
    Description

    • 500M B2B Contacts • 35M Companies • 20+ Data Points to Filter Your Leads • 100M+ Contact Direct Dial and Mobile Number • Lifetime Support Until You 100% Satisfied

    We are the Best b2b database providers for high-performance sales teams. If you get a fake by any chance, you have nothing to do with them. Nothing is more frustrating than receiving useless data for which you have paid money.

    Every 15 days, our devoted team updates our b2b leads database. In addition, we are always available to assist our clients with whatever data they are working with in order to ensure that our service meets their needs. We keep an eye on our b2b contact database to keep you informed and provide any assistance you require.

    With our simple-to-use system and up-to-date B2B contact list, we hope to make your job easier. You’ll be able to filter your data at Lfbbd based on the industry you work in. For example, you can choose from real estate companies or just simply tap into the healthcare business. Our database is updated on a regular basis, and you will receive contact information as soon as possible.

    Use our information to quickly locate new business clients, competitors, and suppliers. We’ve got your back, no matter what precise requirements you have.

    We have over 500 million business-to-business contacts that you may segment based on your marketing and commercial goals. We don’t stop there; we’re always gathering leads from the right tool so you can reach out to a big database of your clients without worrying about email constraints.

    Thanks to our database, you may create your own campaign and send as many email or automated messages as you want. We collect the most viable b2b database to help you go a long way, as we seek to increase your business and enhance your sales.

    The majority of our clients choose us since we have competitive costs when compared to others. In this digital era, marketing is more advanced, and customers are less willing to pay more for a service that produces poor results.

    That’s why we’ve devised the most effective b2b database strategy for your company. You can also tailor your database and pricing to meet your specific business requirements.

    • Connect directly with the right decision-makers, using the most accurate database of emails and direct dials. Build a clean prospecting list that you can plug into your sales tools and generate new leads from, right away • Over 500 million business contacts worldwide. • You could filter your targeted leads by 20+ criteria including job title, industry, location, Revenue, Technology, and more. • Find the email addresses of the professionals you want to contact one by one or in bulk.

  3. b

    Phone Number Data | USA Coverage | 765 Mil+ Numbers

    • data.bigdbm.com
    + more versions
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    BIGDBM, Phone Number Data | USA Coverage | 765 Mil+ Numbers [Dataset]. https://data.bigdbm.com/products/bigdbm-us-consumer-phone-package-bigdbm
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    Dataset authored and provided by
    BIGDBM
    Area covered
    United States
    Description

    The US Consumer Phone file contains phone numbers, mobile and landline, tied to an individual in the Consumer Database. The fields available include the phone number, phone type, mobile carrier, and Do Not Call registry status.

    All phone numbers can be cleansed using telecom carrier data.

  4. d

    Alesco Phone ID Database - Phone Data with over 860 Million Phone Number...

    • datarade.ai
    .csv, .xls, .txt
    Updated Jul 5, 2018
    + more versions
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    Alesco Data (2018). Alesco Phone ID Database - Phone Data with over 860 Million Phone Number with Carrier Name, covers 94% of the US population - available for licensing! [Dataset]. https://datarade.ai/data-products/alesco-phone-id-database-the-industry-s-largest-and-most-ac-alesco-data
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 5, 2018
    Dataset authored and provided by
    Alesco Data
    Area covered
    United States
    Description

    The Alesco Phone ID Database data ties together a consumer's true identity, and with linkage to the Alesco Power Identity Graph, we are perfectly positioned to help customers solve today's most challenging marketing, analytics, and identity resolution problems.

    Our proprietary Phone ID database combines public and private sources and validates phone numbers against current and historical data 24 hours a day, 365 days a year.

    With over 650 million unique phone numbers, device and service information, our one-of-a-kind solutions are now available for your marketing and identity resolution challenges in both B2C and B2B applications!

    • Alesco Phone ID provides more than 860 million phone numbers monthly linked to a consumer or business name and includes landline, mobile phone number, VoIP, private and business phone numbers — all permissibly obtained and privacy-compliant and linked to other Alesco data sets

    • How we do it: Alesco Phone ID is multi-sourced with daily information and delivered monthly or quarterly to clients. Our proprietary machine learning and advanced analytics processes ensure quality levels far above industry standards. Alesco processes over 100 million phone signals per day, compiling, normalizing, and standardizing phone information from 37 input sources.

    • Accuracy: Each of Alesco’s phone data sources are vetted to ensure they are authoritative, giving you confidence in the accuracy of the information. Every record is validated, verified and processed to ensure the widest, most reliable coverage combined with stunning precision.

    Ease of use: Alesco’s Phone ID Database is available as an on-premise phone database license, giving you full control to host and access this powerful resource on-site. Ongoing updates are provided on a monthly basis ensure your data is up to date.

  5. i

    Global Financial Inclusion (Global Findex) Database 2021 - Pakistan

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    • +1more
    Updated Dec 16, 2022
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    Development Research Group, Finance and Private Sector Development Unit (2022). Global Financial Inclusion (Global Findex) Database 2021 - Pakistan [Dataset]. https://datacatalog.ihsn.org/catalog/10490
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    Dataset updated
    Dec 16, 2022
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2021
    Area covered
    Pakistan
    Description

    Abstract

    The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

    The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

    The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

    Geographic coverage

    Did not include Azad Jammu and Kashmir (AJK) and Gilgit-Baltistan. The excluded area represents approximately 5 percent of the total population. Gender-matched sampling was used during the final stage of selection.

    Analysis unit

    Individual

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

    In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

    The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

    For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    Sample size for Pakistan is 1002.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Questionnaires are available on the website.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

  6. Number of mobile search users in China 2011-2020

    • statista.com
    Updated Feb 23, 2023
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    Statista (2023). Number of mobile search users in China 2011-2020 [Dataset]. https://www.statista.com/statistics/253503/number-of-mobile-search-users-in-china/
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    Dataset updated
    Feb 23, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    This statistic shows the number of mobile search users in China from 2011 to 2020. By the end of 2020, over 768 million people in China used mobile phones to search the web, representing 78 percent of the total mobile users.

  7. d

    Telemarketing Data | Global Coverage | +95% Email and Phone Data Accuracy

    • datarade.ai
    .json, .csv
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    Forager.ai, Telemarketing Data | Global Coverage | +95% Email and Phone Data Accuracy [Dataset]. https://datarade.ai/data-products/global-telemarketing-data-90m-accurate-mobile-numbers-ap-forager-ai
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Forager.ai
    Area covered
    Isle of Man, Cook Islands, Sint Eustatius and Saba, Nicaragua, Austria, Cameroon, Iraq, Swaziland, Nigeria, Kazakhstan
    Description

    Global Telemarketing Data | 95% Phone & Email Accuracy | 270M+ Verified Contacts Forager.ai redefines telemarketing success with the world’s most actionable contact database. We combine 100M+ mobile numbers and 170M+ verified emails with deep company insights – all updated every 14 days to maintain 95% accuracy rates that outperform legacy providers.

    Why Telemarketing Teams Choose Us ✅ Dual-Channel Verified Every record confirms both working mobile numbers AND valid Personal email or Work email addresses – critical for multi-touch campaigns.

    ✅ Decision-Maker Intel 41% of contacts hold budget authority (Director to C-Suite) with:

    Direct mobile numbers

    Verified corporate emails

    Department hierarchy mapping

    Purchase intent signals

    ✅ Freshness Engine Bi-weekly verification sweeps catch: ✖ Job changers (23% of database monthly) ✖ Company restructuring ✖ Number/email deactivations

    ✅ Compliance Built-In Automated opt-out management + full GDPR/CCPA documentation.

    Your Complete Telemarketing Toolkit Core Data Points: ✔ Direct dial mobile/work numbers ✔ Verified corporate email addresses ✔ Job title & decision-making authority ✔ Company size/revenue/tech stack ✔ Department structure & team size ✔ Location data (HQ/local offices) ✔ LinkedIn/Social media validation

    Proven Use Cases • Cold Calling 2.0: Target CROs with mobile numbers + know their tech stack before dialing • Email-to-Call Sequencing: Match verified emails to mobile numbers for 360° outreach • List Hygiene: Clean existing CRM contacts against our live database • Market Expansion: Target specific employee counts (50-200 person companies) • Event Follow-Ups: Re-engage webinar/trade show leads with updated contact info

    Enterprise-Grade Delivery

    Real-Time API: Connect to Five9/Aircall/Salesforce

    CRM-Ready Files: CSV with custom fields

    Compliance Hub: Automated opt-out tracking

    PostgreSQL Sync/ JSON files: 2-3 weeks updates for large datasets

    Why We Outperform Competitors → 62% Connect Rate: Actual client result vs. industry 38% average → 3:1 ROI Guarantee: We’ll prove value or extend your license → Free Audit: Upload 10K contacts – we’ll show % salvageable

    Need Convincing? Free API test account → Experience our accuracy firsthand. See why 89% of trial users convert to paid plans.

    Telemarketing Data | Verified Contact Database | Cold Calling Lists | Phone & Email Data | Decision-Maker Contacts | CRM Enrichment | GDPR-Compliant Leads | B2B Contact Data | Sales Prospecting | ABM Targeting

  8. R

    Reverse Phone Number Lookup Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 15, 2025
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    Archive Market Research (2025). Reverse Phone Number Lookup Report [Dataset]. https://www.archivemarketresearch.com/reports/reverse-phone-number-lookup-59374
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The reverse phone number lookup market is experiencing robust growth, driven by increasing concerns over online privacy and safety, the rise of scams and harassment via unknown numbers, and the need for efficient background checks. The market's size in 2025 is estimated at $1.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant growth is fueled by several factors. The increasing adoption of smartphones and readily available mobile apps offering this service contributes significantly. Furthermore, businesses across various sectors, from law enforcement and debt collection agencies to background check companies and private investigators, rely on reverse phone lookup services for verifying identities and locating individuals. This widespread adoption across both personal and enterprise applications boosts market expansion. The market segmentation, comprised of cloud-based and on-premise solutions, alongside personal and enterprise applications, indicates diverse user needs and preferences, further fueling the market's growth potential. However, market growth is not without challenges. Data privacy concerns and regulations, such as GDPR and CCPA, pose significant restraints. The potential for inaccuracies in the data provided by some services and the emergence of sophisticated caller ID spoofing techniques also present challenges. Despite these restraints, the overall trend indicates a continuously expanding market, with ongoing technological advancements likely to enhance accuracy and user experience, driving further growth in the coming years. The projected market size in 2033 is estimated to surpass $5 billion, emphasizing the substantial growth potential and market attractiveness. Continued innovation and adaptation to evolving regulatory landscapes will be crucial for sustained success in this dynamic sector.

  9. Bahrain Number of Subscriber Mobile

    • ceicdata.com
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    CEICdata.com, Bahrain Number of Subscriber Mobile [Dataset]. https://www.ceicdata.com/en/indicator/bahrain/number-of-subscriber-mobile
    Explore at:
    Dataset provided by
    CEIC Data
    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, 2012 - Dec 1, 2023
    Area covered
    Bahrain
    Description

    Key information about Bahrain Number of Subscriber Mobile

    • Bahrain Number of Subscriber Mobile was reported at 2,420,000.000 Person in Dec 2023
    • This records an increase from the previous number of 2,140,000.000 Person for Dec 2022
    • Bahrain Number of Subscriber Mobile data is updated yearly, averaging 75,303.000 Person from Dec 1960 to 2023, with 52 observations
    • The data reached an all-time high of 2,990,000.000 Person in 2016 and a record low of 0.000 Person in 1985
    • Bahrain Number of Subscriber Mobile data remains active status in CEIC and is reported by World Bank
    • The data is categorized under World Trend Plus’s Association: Telecommunication Sector – Table BH.World Bank.WDI: Telecommunication

    Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services.;International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database;Sum;Please cite the International Telecommunication Union for third-party use of these data.

  10. d

    Investor contacts, investor list, investor emails, investor phone numbers,...

    • datarade.ai
    Updated Aug 13, 2022
    + more versions
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    Nimbler (2022). Investor contacts, investor list, investor emails, investor phone numbers, contact data with valid emails and phone numbers, global investor database [Dataset]. https://datarade.ai/data-products/investor-contacts-investor-list-investor-emails-investor-p-nymblr-inc
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Aug 13, 2022
    Dataset authored and provided by
    Nimbler
    Area covered
    Eritrea, Mali, South Georgia and the South Sandwich Islands, Chile, Saudi Arabia, Afghanistan, Namibia, Iraq, Croatia, Slovakia
    Description

    Finding clean, high-quality B2B contact data shouldn't feel like going to the dentist. We make it easy for companies of all sizes, ranging from startups to enterprises globally to access high-quality B2B contact data, lead data, and business contact data for any company, any industry, and any job title.

    Nymblr offers access to 140 million global verified B2B contacts with valid work emails, personal emails, work phones & direct dials, and social profiles. Our platform and API make it easy to access the highest-quality B2B Data, Business Contact Data, Lead Data, Work & Personal Email Data, and Phone data.

    Easily access our data via API or directly in our platform which makes it fast and easy to search for B2B contacts and B2B leads using multiple filters, including:

    Job Title Seniority Level (C-Level/Owner, VP, Director, etc.) Job Department (Sales, Accounting, Marketing, Finance, etc.) Skills Company Name/Company Domain Company Industry Company SIC Company Revenue Company Size Location (Country, State, and City)

    Contact us to get a free trial today! No commitments required.

  11. Bangladesh Number of Subscriber Mobile

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Bangladesh Number of Subscriber Mobile [Dataset]. https://www.ceicdata.com/en/indicator/bangladesh/number-of-subscriber-mobile
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    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, 2012 - Dec 1, 2023
    Area covered
    Bangladesh
    Description

    Key information about Bangladesh Number of Subscriber Mobile

    • Bangladesh Number of Subscriber Mobile was reported at 191,000,000.000 Person in Dec 2023
    • This records an increase from the previous number of 186,000,000.000 Person for Dec 2022
    • Bangladesh Number of Subscriber Mobile data is updated yearly, averaging 50,500.000 Person from Dec 1960 to 2023, with 52 observations
    • The data reached an all-time high of 191,000,000.000 Person in 2023 and a record low of 0.000 Person in 1991
    • Bangladesh Number of Subscriber Mobile data remains active status in CEIC and is reported by World Bank
    • The data is categorized under World Trend Plus’s Association: Telecommunication Sector – Table BD.World Bank.WDI: Telecommunication

    Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services.;International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database;Sum;Please cite the International Telecommunication Union for third-party use of these data.

  12. Italy AGCOM: No of Subscriber: Mobile: Sim Data

    • ceicdata.com
    Updated Dec 15, 2020
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    CEICdata.com (2020). Italy AGCOM: No of Subscriber: Mobile: Sim Data [Dataset]. https://www.ceicdata.com/en/italy/number-of-subscriber-mobile-phone/agcom-no-of-subscriber-mobile-sim-data
    Explore at:
    Dataset updated
    Dec 15, 2020
    Dataset provided by
    CEIC Data
    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, 2015 - Mar 1, 2018
    Area covered
    Italy
    Description

    Italy AGCOM: Number of Subscriber: Mobile: Sim Data data was reported at 52,529,359.355 Unit in Mar 2018. This records an increase from the previous number of 52,185,645.873 Unit for Dec 2017. Italy AGCOM: Number of Subscriber: Mobile: Sim Data data is updated quarterly, averaging 41,026,628.881 Unit from Dec 2010 (Median) to Mar 2018, with 30 observations. The data reached an all-time high of 52,592,008.484 Unit in Sep 2017 and a record low of 22,861,434.915 Unit in Dec 2010. Italy AGCOM: Number of Subscriber: Mobile: Sim Data data remains active status in CEIC and is reported by Authority for Communications Guarantees. The data is categorized under Global Database’s Italy – Table IT.TB003: Number of Subscriber: Mobile Phone.

  13. 830,276 groups - Multi-Round Interpersonal Dialogues Text Data

    • m.nexdata.ai
    Updated Jun 3, 2023
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    Nexdata (2023). 830,276 groups - Multi-Round Interpersonal Dialogues Text Data [Dataset]. https://m.nexdata.ai/datasets/llm/150
    Explore at:
    Dataset updated
    Jun 3, 2023
    Dataset authored and provided by
    Nexdata
    Variables measured
    Language, Data size, Applications, Data content, Storage format, Collecting period
    Description

    This database is the interactive text corpus of real users on the mobile phone. The database itself has been desensitized to ensure of no private information of the user's (A and B are the codes to replace the sender and receiver, and sensitive information such as cellphone number and user name are replaced with '* * *'). This database can be used for tasks such as natural language understanding.

  14. Global Phone Number buyers list and Global importers directory of Phone...

    • volza.com
    csv
    Updated Jun 19, 2025
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    Volza FZ LLC (2025). Global Phone Number buyers list and Global importers directory of Phone Number [Dataset]. https://www.volza.com/p/phone-number/buyers/buyers-in-india/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 19, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of import value, 2014-01-01/2021-09-30
    Description

    16 Active Global Phone Number buyers list and Global Phone Number importers directory compiled from actual Global import shipments of Phone Number.

  15. d

    815 Million Global Contact Data - B2B / Email / Mobile Phone / LinkedIn URL...

    • datarade.ai
    .json, .csv
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    RampedUp Global Data Solutions, 815 Million Global Contact Data - B2B / Email / Mobile Phone / LinkedIn URL - RampedUp [Dataset]. https://datarade.ai/data-products/global-contact-data-personal-and-professional-840-million-rampedup-global-data-solutions
    Explore at:
    .json, .csvAvailable download formats
    Dataset authored and provided by
    RampedUp Global Data Solutions
    Area covered
    Pakistan, Grenada, Greece, Uganda, Haiti, Chad, Ireland, Sint Eustatius and Saba, Bolivia (Plurinational State of), United States Minor Outlying Islands
    Description

    Sign Up for a free trial: https://rampedup.io/sign-up-%2F-log-in - 7 Days and 50 Credits to test our quality and accuracy.

    These are the fields available within the RampedUp Global dataset.

    CONTACT DATA: Personal Email Address - We manage over 115 million personal email addresses Professional Email - We manage over 200 million professional email addresses Home Address - We manage over 20 million home addresses Mobile Phones - 65 million direct lines to decision makers Social Profiles - Individual Facebook, Twitter, and LinkedIn Local Address - We manage 65M locations for local office mailers, event-based marketing or face-to-face sales calls.

    JOB DATA: Job Title - Standardized titles for ease of use and selection Company Name - The Contact's current employer Job Function - The Company Department associated with the job role Title Level - The Level in the Company associated with the job role Job Start Date - Identify people new to their role as a potential buyer

    EMPLOYER DATA: Websites - Company Website, Root Domain, or Full Domain Addresses - Standardized Address, City, Region, Postal Code, and Country Phone - E164 phone with country code Social Profiles - LinkedIn, CrunchBase, Facebook, and Twitter

    FIRMOGRAPHIC DATA: Industry - 420 classifications for categorizing the company’s main field of business Sector - 20 classifications for categorizing company industries 4 Digit SIC Code - 239 classifications and their definitions 6 Digit NAICS - 452 classifications and their definitions Revenue - Estimated revenue and bands from 1M to over 1B Employee Size - Exact employee count and bands Email Open Scores - Aggregated data at the domain level showing relationships between email opens and corporate domains. IP Address -Company level IP Addresses associated to Domains from a DNS lookup

    CONSUMER DATA: Education - Alma Mater, Degree, Graduation Date Skills - Accumulated Skills associated with work experience
    Interests - Known interests of contact Connections - Number of social connections. Followers - Number of social followers

    Download our data dictionary: https://rampedup.io/our-data

  16. E

    SALA II Spanish Mobile Network Database collected in Venezuela

    • catalogue.elra.info
    • live.european-language-grid.eu
    Updated Aug 28, 2007
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    ELRA (European Language Resources Association) and its operational body ELDA (Evaluations and Language resources Distribution Agency) (2007). SALA II Spanish Mobile Network Database collected in Venezuela [Dataset]. https://catalogue.elra.info/en-us/repository/browse/ELRA-S0167/
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    Dataset updated
    Aug 28, 2007
    Dataset provided by
    ELRA (European Language Resources Association)
    ELRA (European Language Resources Association) and its operational body ELDA (Evaluations and Language resources Distribution Agency)
    License

    https://catalogue.elra.info/static/from_media/metashare/licences/ELRA_VAR.pdfhttps://catalogue.elra.info/static/from_media/metashare/licences/ELRA_VAR.pdf

    https://catalogue.elra.info/static/from_media/metashare/licences/ELRA_END_USER.pdfhttps://catalogue.elra.info/static/from_media/metashare/licences/ELRA_END_USER.pdf

    Area covered
    Venezuela
    Description

    The SALA II Spanish Mobile Network Database collected in Venezuela was recorded within the scope of the SALA II project.The SALA II Spanish Venezuelan database contains the recordings of 1,179 Venezuelan speakers (576 males and 603 females) recorded over the Venezuelan mobile telephone network.The following acoustic conditions were selected as representative of a mobile user's environment: * Passenger in moving car (160 speakers) * Public place (461 speakers) * Stationary pedestrian by road side (236 speakers) * Home/Office environment (272 speakers) * Passenger in moving car using a hands-free kit (160 speakers) This database is distributed as 1 DVD-ROMs The speech files are stored as sequences of 8-bit, 8kHz a-law speech files and are not compressed, according to the specifications of SALA II. Each prompt utterance is stored within a separate file and has an accompanying ASCII SAM label file. This speech database was validated by SPEX (the Netherlands) to assess its compliance with the SALA II format and content specifications.Each speaker uttered the following items: * 6 application words * 1 sequence of 10 isolated digits * 4 connected digits (1 sheet number -6 digits, 1 telephone number –9/11 digits, 1 credit card number –14/16 digits, 1 PIN code -6 digits) * 3 dates (1 spontaneous date e.g. birthday, 1 word style prompted date, 1 relative and general date expression) * 1 spotting phrase using an embedded application word * 1 isolated digit * 3 spelled words (1surname, 1 directory assistance city name, 1 real/artificial name for coverage) * 1 currency money amount * 1 natural number * 5 directory assistance names (1 surname out of a set of 500, 1 city of birth/growing up, 1 most frequent city out of a set of 500, 1 most frequent company/agency out of a set of 500, 1 “forename surname” out of a set of 150 ) * 2 yes/no questions (1 predominantly “yes” question, 1 predominantly “no” question) * 9 phonetically rich sentences * 2 time phrases (1 spontaneous time of day, 1word style time phrase) * 4 phonetically rich words The following age distribution has been obtained: 7 speakers are under 16, 624 speakers are between 16 and 30, 368 speakers are between 31 and 45, 160 speakers are between 46 and 60, and 20 speakers are over 60.A pronunciation lexicon with a phonemic transcription in SAMPA is also included.

  17. Number of individuals by mobile phone usage purposes and activity status,...

    • data.europa.eu
    html, unknown
    Updated May 13, 2022
    + more versions
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    VLADA REPUBLIKE SLOVENIJE STATISTIČNI URAD REPUBLIKE SLOVENIJE (2022). Number of individuals by mobile phone usage purposes and activity status, Slovenia, annually [Dataset]. https://data.europa.eu/data/datasets/surs2979515s?locale=en
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    html, unknownAvailable download formats
    Dataset updated
    May 13, 2022
    Dataset provided by
    Government of Slovenia
    Authors
    VLADA REPUBLIKE SLOVENIJE STATISTIČNI URAD REPUBLIKE SLOVENIJE
    Area covered
    Slovenia
    Description

    This database automatically includes metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Number of individuals by mobile phone usage purposes and activity status, Slovenia, annually”.

    Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

  18. Dominican Republic Teledensity: Mobile

    • ceicdata.com
    Updated Dec 15, 2022
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    CEICdata.com (2022). Dominican Republic Teledensity: Mobile [Dataset]. https://www.ceicdata.com/en/indicator/dominican-republic/teledensity-mobile
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    Dataset updated
    Dec 15, 2022
    Dataset provided by
    CEIC Data
    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, 2011 - Dec 1, 2022
    Area covered
    Dominican Republic
    Variables measured
    Phone Statistics
    Description

    Key information about Dominican Republic Teledensity: Mobile

    • Dominican Republic Teledensity: Mobile was reported at 90.391 Number in Dec 2022
    • This records an increase from the previous number of 87.565 Number for Dec 2021
    • Dominican Republic Teledensity: Mobile data is updated yearly, averaging 3.787 Number from Dec 1960 to 2022, with 48 observations
    • The data reached an all-time high of 90.968 Number in 2010 and a record low of 0.000 Number in 1986
    • Dominican Republic Teledensity: Mobile data remains active status in CEIC and is reported by World Bank
    • The data is categorized under World Trend Plus’s Association: Telecommunication Sector – Table DO.World Bank.WDI: Telecommunication
    Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services.;International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database;Weighted average;Please cite the International Telecommunication Union for third-party use of these data.

  19. w

    Global Financial Inclusion (Global Findex) Database 2021 - Venezuela, RB

    • microdata.worldbank.org
    • datacatalog.ihsn.org
    • +1more
    Updated Dec 16, 2022
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    Development Research Group, Finance and Private Sector Development Unit (2022). Global Financial Inclusion (Global Findex) Database 2021 - Venezuela, RB [Dataset]. https://microdata.worldbank.org/index.php/catalog/4727
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    Dataset updated
    Dec 16, 2022
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2021
    Area covered
    Venezuela
    Description

    Abstract

    The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

    The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

    The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

    Geographic coverage

    National coverage

    Analysis unit

    Individual

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

    In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

    The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

    For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    Sample size for Venezuela, RB is 1000.

    Mode of data collection

    Landline and mobile telephone

    Research instrument

    Questionnaires are available on the website.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

  20. Number of customers/subscribers at T-Mobile in the U.S. 2018-2023, by...

    • statista.com
    Updated Mar 24, 2024
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    Statista (2024). Number of customers/subscribers at T-Mobile in the U.S. 2018-2023, by quarter [Dataset]. https://www.statista.com/statistics/219577/total-customers-of-t-mobile-usa-by-quarter/
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    Dataset updated
    Mar 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the fourth quarter of 2023, T-Mobile provided services to over a total of 119 million customers. The company saw a large increase in subscriber numbers from the first quarter of 2020 to the second, driven by the merger of T-Mobile and Sprint in April 2020. T-Mobile subscriber base T-Mobile's subscriber base can now be broken down into two customer categories: branded postpaid customers and branded prepaid customers. The majority of T-Mobile's subscribers are postpaid customers, making up approximately 80 percent of the company’s customer base. Customer satisfaction T-Mobile US currently has the highest customer satisfaction rate amongst wireless service providers in the United States according to the ACSI customer satisfaction index. Additionally, T-Mobile's churn rate was reported at 0.9 percent in the third quarter of 2023.

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Forager.ai, Phone Number Data | APAC | 100M+ B2B Mobile Phone Numbers | 95%+ Accuracy [Dataset]. https://datarade.ai/data-products/apac-b2b-mobile-data-90m-95-accuracy-api-bi-weekly-up-forager-ai

Phone Number Data | APAC | 100M+ B2B Mobile Phone Numbers | 95%+ Accuracy

Explore at:
.json, .csvAvailable download formats
Dataset provided by
Forager.ai
Area covered
Bhutan, Libya, San Marino, Ghana, Uruguay, Belarus, El Salvador, Bahamas, Burkina Faso, Georgia
Description

Global B2B Mobile Phone Number Database | 100M+ Verified Contacts | 95% Accuracy Forager.ai provides the world’s most reliable mobile phone number data for businesses that refuse to compromise on quality. With 100 million+ professionally verified mobile numbers refreshed every 3 weeks, our database ensures 95% accuracy – so your teams never waste time on dead-end leads.

Why Our Data Wins ✅ Accuracy You Can Trust 95% of mobile numbers are verified against live carrier records and tied to current job roles. Say goodbye to “disconnected number” voicemails.

✅ Depth Beyond Digits Each contact includes 150+ data points:

Direct mobile numbers

Current job title, company, and department

Full career history + education background

Location data + LinkedIn profiles

Company size, industry, and revenue

✅ Freshness Guaranteed Bi-weekly updates combat job-hopping and role changes – critical for sales teams targeting decision-makers.

✅ Ethically Sourced & Compliant First-party collected data with full GDPR/CCPA compliance.

Who Uses This Data?

Sales Teams: Cold-call C-suite prospects with verified mobile numbers.

Marketers: Run hyper-personalized SMS/WhatsApp campaigns.

Recruiters: Source passive candidates with up-to-date contact intel.

Data Vendors: License premium datasets to enhance your product.

Tech Platforms: Power your SaaS tools via API with enterprise-grade B2B data.

Flexible Delivery, Instant Results

API (REST): Real-time integration for CRMs, dialers, or marketing stacks

CSV/JSON: Campaign-ready files.

PostgreSQL: Custom databases for large-scale enrichment

Compliance: Full audit trails + opt-out management

Why Forager.ai? → Proven ROI: Clients see 62% higher connect rates vs. industry averages (request case studies). → No Guesswork: Test-drive free samples before committing. → Scalable Pricing: Pay per record, license datasets, or get unlimited API access.

B2B Mobile Phone Data | Verified Contact Database | Sales Prospecting Lists | CRM Enrichment | Recruitment Phone Numbers | Marketing Automation | Phone Number Datasets | GDPR-Compliant Leads | Direct Dial Contacts | Decision-Maker Data

Need Proof? Contact us to see why Fortune 500 companies and startups alike trust Forager.ai for mission-critical outreach.

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