100+ datasets found
  1. d

    National Consumer Complaint Database (NCCDB) - National Consumer Complaint...

    • catalog.data.gov
    • cloud.csiss.gmu.edu
    • +5more
    Updated Jun 26, 2024
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    Federal Motor Carrier Safety Administration (2024). National Consumer Complaint Database (NCCDB) - National Consumer Complaint Database [Dataset]. https://catalog.data.gov/dataset/national-consumer-complaint-database-nccdb-national-consumer-complaint-database
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    Dataset updated
    Jun 26, 2024
    Dataset provided by
    Federal Motor Carrier Safety Administration
    Description

    NCCDB is a web-based information system for recording and reporting on household goods, safety violation, hazardous material, cargo tank and passenger complaints. NCCDB allows the public and FMCSA staff to submit complaints using an online form. The database contains, among other information, reports on inspection and test of cargo tanks and inventory of tanks. These reports are used in the development and amendment to regulations of cargo security which is the protection of cargo from theft.

  2. f

    Buy Consumer Data | 1 Billion+ Data | FrescoData

    • frescodata.com
    Updated Dec 9, 2020
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    FrescoData (2020). Buy Consumer Data | 1 Billion+ Data | FrescoData [Dataset]. https://www.frescodata.com/consumer-data/
    Explore at:
    Dataset updated
    Dec 9, 2020
    Dataset authored and provided by
    FrescoData
    Description

    Buy consumer data from us to find the target audience for b2c marketing. FrescoData offer the Highest Value for People and consumer marketing.

  3. Envestnet | Yodlee's De-Identified Sales Transaction Data | Row/Aggregate...

    • datarade.ai
    .sql, .txt
    + more versions
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    Envestnet | Yodlee, Envestnet | Yodlee's De-Identified Sales Transaction Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts [Dataset]. https://datarade.ai/data-products/envestnet-yodlee-s-sales-transaction-data-row-aggregate-envestnet-yodlee
    Explore at:
    .sql, .txtAvailable download formats
    Dataset provided by
    Envestnethttp://envestnet.com/
    Yodlee
    Authors
    Envestnet | Yodlee
    Area covered
    United States of America
    Description

    Envestnet®| Yodlee®'s Sales Transaction Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

    Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

    We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

    Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

    Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

    Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

    1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

    2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

    3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

  4. Data from: Consumer Complaint Database

    • catalog.data.gov
    • datalumos.org
    • +2more
    Updated Aug 16, 2024
    + more versions
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    Consumer Financial Protection Bureau (2024). Consumer Complaint Database [Dataset]. https://catalog.data.gov/dataset/consumer-complaint-database
    Explore at:
    Dataset updated
    Aug 16, 2024
    Dataset provided by
    Consumer Financial Protection Bureauhttp://www.consumerfinance.gov/
    Description

    The Consumer Complaint Database is a collection of complaints about consumer financial products and services that we sent to companies for response. Complaints are published after the company responds, confirming a commercial relationship with the consumer, or after 15 days, whichever comes first. Complaints referred to other regulators, such as complaints about depository institutions with less than $10 billion in assets, are not published in the Consumer Complaint Database. The database generally updates daily.

  5. L2 Consumer Dataset

    • redivis.com
    application/jsonl +7
    Updated Jul 2, 2024
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    Stanford University Libraries (2024). L2 Consumer Dataset [Dataset]. http://doi.org/10.57761/jgcd-fx37
    Explore at:
    arrow, spss, csv, avro, application/jsonl, sas, parquet, stataAvailable download formats
    Dataset updated
    Jul 2, 2024
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford University Libraries
    Description

    Abstract

    The L2 Consumer Dataset contains information about consumers from all 50 states and the District of Columbia. The data, which is sourced from credit bureaus and other consumer information sources, is generally bought and used by companies for marketing purposes. Updates are expected quarterly.

    All tables (except for New Jersey) were last updated on 03-25-2024. New Jersey was updated on 05-11-2024, when about 25,000 records were removed to comply with Daniel's Law.

    Methodology

    To create this file, L2 processes nationwide consumer data on an ongoing basis for all 50 states and the District of Columbia with refreshes typically at least every ninety days. The data are sourced from credit bureaus and other consumer information sources. Those data are standardized and consist of approximately 240,000,000 records nationwide.

    Usage

    Each table contains 667 variables. For more information about these variables, see ***2024-04-20-Commercial-Data-Dictionary.xlsx ***(under Supporting files).

    The L2 Consumer and L2 Voter and Demographic data can be joined on the Lalvoterid variable.

    One can also use the Lalvoterid variable to validate the state. For example, let's look at the Lalvoterid for one row in the CA-Commercial-2024-03-25 table. The characters in the fourth and fifth positions of this identifier, LALCA25840445, are 'CA' (California).

    The date appended to each table name represents when the data was last updated. All tables (except for New Jersey) were last updated on 03-25-2024. New Jersey was updated on 05-11-2024 when about 25,000 records were removed to comply with Daniel's Law. For more information about this release, see 2024-03-27-Commercial-Data-Release-Notes.docx* *(under Supporting files).

    Bulk Data Access

    Data access is required to view this section.

    DataMapping Tool

    Data access is required to view this section.

  6. Leading data collection methods among UK consumers 2023

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Leading data collection methods among UK consumers 2023 [Dataset]. https://www.statista.com/statistics/1453941/data-collection-method-consumers-uk/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2023 - Dec 2023
    Area covered
    United Kingdom
    Description

    During a late 2023 survey among working-age consumers in the United Kingdom, **** percent of respondents stated that they preferred for their data to be collected via interactive surveys. Meanwhile, **** percent of respondents mentioned loyalty cards/programs as their favored data collection method.

  7. d

    US Consumer Marketing Data - 269M+ Consumer Records - 95% Email and Direct...

    • datarade.ai
    Updated Jun 1, 2022
    + more versions
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    Giant Partners (2022). US Consumer Marketing Data - 269M+ Consumer Records - 95% Email and Direct Dials Accuracy [Dataset]. https://datarade.ai/data-products/consumer-business-data-postal-phone-email-demographics-giant-partners
    Explore at:
    Dataset updated
    Jun 1, 2022
    Dataset authored and provided by
    Giant Partners
    Area covered
    United States
    Description

    Premium B2C Consumer Database - 269+ Million US Records

    Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

    Core Database Statistics

    Consumer Records: Over 269 million

    Email Addresses: Over 160 million (verified and deliverable)

    Phone Numbers: Over 76 million (mobile and landline)

    Mailing Addresses: Over 116,000,000 (NCOA processed)

    Geographic Coverage: Complete US (all 50 states)

    Compliance Status: CCPA compliant with consent management

    Targeting Categories Available

    Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

    Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

    Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

    Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

    Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

    Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

    Multi-Channel Campaign Applications

    Deploy across all major marketing channels:

    Email marketing and automation

    Social media advertising

    Search and display advertising (Google, YouTube)

    Direct mail and print campaigns

    Telemarketing and SMS campaigns

    Programmatic advertising platforms

    Data Quality & Sources

    Our consumer data aggregates from multiple verified sources:

    Public records and government databases

    Opt-in subscription services and registrations

    Purchase transaction data from retail partners

    Survey participation and research studies

    Online behavioral data (privacy compliant)

    Technical Delivery Options

    File Formats: CSV, Excel, JSON, XML formats available

    Delivery Methods: Secure FTP, API integration, direct download

    Processing: Real-time NCOA, email validation, phone verification

    Custom Selections: 1,000+ selectable demographic and behavioral attributes

    Minimum Orders: Flexible based on targeting complexity

    Unique Value Propositions

    Dual Spouse Targeting: Reach both household decision-makers for maximum impact

    Cross-Platform Integration: Seamless deployment to major ad platforms

    Real-Time Updates: Monthly data refreshes ensure maximum accuracy

    Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

    Compliance Management: Built-in opt-out and suppression list management

    Ideal Customer Profiles

    E-commerce retailers seeking customer acquisition

    Financial services companies targeting specific demographics

    Healthcare organizations with compliant marketing needs

    Automotive dealers and service providers

    Home improvement and real estate professionals

    Insurance companies and agents

    Subscription services and SaaS providers

    Performance Optimization Features

    Lookalike Modeling: Create audiences similar to your best customers

    Predictive Scoring: Identify high-value prospects using AI algorithms

    Campaign Attribution: Track performance across multiple touchpoints

    A/B Testing Support: Split audiences for campaign optimization

    Suppression Management: Automatic opt-out and DNC compliance

    Pricing & Volume Options

    Flexible pricing structures accommodate businesses of all sizes:

    Pay-per-record for small campaigns

    Volume discounts for large deployments

    Subscription models for ongoing campaigns

    Custom enterprise pricing for high-volume users

    Data Compliance & Privacy

    VIA.tools maintains industry-leading compliance standards:

    CCPA (California Consumer Privacy Act) compliant

    CAN-SPAM Act adherence for email marketing

    TCPA compliance for phone and SMS campaigns

    Regular privacy audits and data governance reviews

    Transparent opt-out and data deletion processes

    Getting Started

    Our data specialists work with you to:

    1. Define your target audience criteria

    2. Recommend optimal data selections

    3. Provide sample data for testing

    4. Configure delivery methods and formats

    5. Implement ongoing campaign optimization

    Why We Lead the Industry

    With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

    Contact our team to discuss your specific targeting requirements and receive custom pricing for your marketing objectives.

  8. D

    Database Marketing Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 19, 2025
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    Market Research Forecast (2025). Database Marketing Report [Dataset]. https://www.marketresearchforecast.com/reports/database-marketing-41199
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Mar 19, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The database marketing market is experiencing robust growth, driven by the increasing need for personalized customer experiences and the availability of advanced analytical tools. The market, currently valued at approximately $15 billion in 2025 (this is an estimated figure based on typical market sizes for similar technologies and the provided CAGR), is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth is fueled by several key factors: the rising adoption of data analytics and AI for customer segmentation and targeted marketing campaigns, the increasing preference for personalized marketing communications across various channels (email, social media, SMS), and the growing importance of customer relationship management (CRM) systems in building long-term customer loyalty. Large enterprises are the primary adopters, leveraging database marketing for lead generation, customer retention, and campaign optimization. However, SMEs are increasingly recognizing the value proposition, driving market expansion across various segments. Telemarketing, while still a prevalent application, is complemented by newer, digitally-driven techniques such as email marketing and programmatic advertising, utilizing database insights for superior targeting and personalization. Despite its rapid growth, the database marketing market faces certain challenges. Data privacy concerns and regulations like GDPR are increasing the complexity of data management and compliance, demanding substantial investment in secure and ethical data handling practices. The market also faces hurdles like data integration challenges from disparate sources, the need for skilled professionals to effectively utilize advanced analytics, and the ever-evolving technological landscape demanding continuous adaptation and investment in new tools and strategies. Market segmentation strategies focusing on specific industries, demographic segments, and geographic regions are critical to achieving optimal growth and return on investment for both providers and users of database marketing solutions. Key players like Adobe (Marketo), Stirista, Oracle, and HubSpot continue to innovate and expand their offerings to maintain market leadership. The geographic distribution of the market is largely influenced by the maturity of digital marketing practices in each region, with North America and Europe currently holding the largest market shares.

  9. Data usage in consumer products and retail industry 2020

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Data usage in consumer products and retail industry 2020 [Dataset]. https://www.statista.com/statistics/1262066/data-usage-in-consumer-products-and-retail-industry/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2020
    Area covered
    Worldwide
    Description

    A global survey from Capgemini showed that retail companies were lagging behind consumer products enterprises in the use of data. The gap was significant in the automation of processes and in data collecting: only ** percent of retailers automated data collection, against ** percent of consumer goods companies. However, one in **** organizations in both categories reported to have implemented practices involving data engineering, machine learning, and DevOps.

  10. Consumer concerns about data privacy when interacting with companies in...

    • statista.com
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    Statista, Consumer concerns about data privacy when interacting with companies in Vietnam 2022 [Dataset]. https://www.statista.com/statistics/1396388/vietnam-consumer-concerns-about-sharing-data-with-companies/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2022
    Area covered
    Vietnam
    Description

    Based on a survey conducted in December 2022 among consumers in Vietnam, around ** percent of surveyed respondents expressed their concerns about the privacy of their personal data while interacting with social media companies. Meanwhile, only ** percent of surveyed respondents were anxious about how their personal data is used by health and medical institutions.

  11. Customer Data Platform Market Analysis North America, Europe, APAC, South...

    • technavio.com
    Updated Jan 25, 2024
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    Technavio (2024). Customer Data Platform Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, China, Japan, Germany, UK - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/customer-data-platform-market-industry-analysis
    Explore at:
    Dataset updated
    Jan 25, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States
    Description

    Snapshot img

    Customer Data Platform Market Size 2024-2028

    The customer data platform market size is forecast to increase by USD 19.02 billion at a CAGR of 32.12% between 2023 and 2028.

    The customer data platform (CDP) market is experiencing significant growth due to several key trends. The increasing demand for personalized customer services in various industries, particularly e-commerce retail, is driving market growth. This trend is being fueled by the rising preference for omnichannel platforms that enable seamless customer interactions across multiple touchpoints. Additionally, the need to address customer data privacy concerns is another major factor contributing to the market's growth.
    As businesses strive to provide more personalized experiences to their customers while ensuring data security, CDPs and workforce analytics are becoming an essential tool for managing and activating customer data in real time. This CDP market analysis report provides a comprehensive examination of these trends and other growth factors, offering valuable insights for businesses looking to leverage CDPs to enhance their customer engagement strategies.
    

    What will be the Size of the Customer Data Platform Market During the Forecast Period?

    Request Free Sample

    The customer data platform (CDP) market is experiencing significant growth due to the increasing importance of customer intelligence for delivering omnichannel experiences. Businesses seek to understand their customers across multiple channels and touchpoints, requiring the ability to handle large volumes of complex data. CDP solutions enable data unification and identity resolution, ensuring accurate and consistent customer profiles. Data governance and privacy laws are driving the need for robust data protection and security measures, including data breach prevention and compliance with regulations such as GDPR and CCPA.
    Additionally, AI and machine learning are being integrated into CDPs to enhance data analytics capabilities, providing valuable insights for industries like healthcare, telecom, travel and hospitality, and advertising.
    The customer data platform market is evolving with AI-powered CDP solutions enhancing real-time data processing, customer data integration, and omnichannel marketing. Businesses focus on data privacy compliance and first-party data management to drive predictive analytics, customer segmentation, and personalized marketing. Cloud-based CDP adoption supports customer journey analytics, CDP for e-commerce, and cross-channel data activation. Data monetization strategies, identity resolution, and enterprise CDP solutions fuel CDP market growth, enabling data-driven customer insights and customer retention strategies.
    Big data and real-time data processing are essential features, enabling businesses to make informed decisions and respond quickly to customer needs.
    

    How is this Customer Data Platform Industry segmented and which is the largest segment?

    The customer data platform industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Deployment
    
      On-premises
      Cloud based
    
    
    End-user
    
      Large enterprises
      Small and medium size enterprises
    
    
    Geography
    
      North America
    
        US
    
    
      Europe
    
        Germany
        UK
    
    
      APAC
    
        China
        Japan
    
    
      South America
    
    
    
      Middle East and Africa
    

    By Deployment Insights

    The on-premises segment is estimated to witness significant growth during the forecast period.
    

    The on-premises the market is experiencing substantial growth due to its ability to process and personalize customer data while maintaining data security within an organization's data centers or servers. On-premises CDPs offer customizable solutions tailored to specific business needs and unique data processing workflows, which may not be available in cloud-based alternatives. However, the need to upgrade hardware for data scalability is a consideration for on-premises CDPs. Key features of on-premises CDPs include data unification, identity resolution, data governance, data privacy, and data security. These platforms enable organizations to comply with data privacy laws, protect against data breaches, and address consumer concerns.

    On-premises CDPs are particularly valuable for industries with large data volumes and complexities, such as advertising, healthcare services, telecom, media and entertainment, retail, and travel and hospitality. Integration with mobile devices, Short Message Service, and communication channels is essential for providing a seamless omnichannel experience. Machine learning and natural language processing technologies enhance data analysis and personalization capabilities. Cloud-based technology offers flexibility and cost savings, but on-premises CDP

  12. United States Natural Gas Consumption: Georgia: Consumers: Residential

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Natural Gas Consumption: Georgia: Consumers: Residential [Dataset]. https://www.ceicdata.com/en/united-states/natural-gas-consumption-by-state-annual/natural-gas-consumption-georgia-consumers-residential
    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, 2013 - Dec 1, 2024
    Area covered
    United States
    Description

    United States Natural Gas Consumption: Georgia: Consumers: Residential data was reported at 131,819.000 Cub ft mn in 2024. This records an increase from the previous number of 121,869.000 Cub ft mn for 2023. United States Natural Gas Consumption: Georgia: Consumers: Residential data is updated yearly, averaging 108,169.500 Cub ft mn from Dec 1967 (Median) to 2024, with 58 observations. The data reached an all-time high of 140,838.000 Cub ft mn in 2000 and a record low of 76,207.000 Cub ft mn in 1974. United States Natural Gas Consumption: Georgia: Consumers: Residential data remains active status in CEIC and is reported by U.S. Energy Information Administration. The data is categorized under Global Database’s United States – Table US.RB014: Natural Gas Consumption: by State: Annual.

  13. Iran CPI: Urban: Food and Non-Alcoholic Beverages (FB)

    • ceicdata.com
    Updated Mar 15, 2024
    + more versions
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    CEICdata.com (2024). Iran CPI: Urban: Food and Non-Alcoholic Beverages (FB) [Dataset]. https://www.ceicdata.com/en/iran/consumer-price-index-april-16march-17100-statistical-centre-of-iran-urban/cpi-urban-food-and-nonalcoholic-beverages-fb
    Explore at:
    Dataset updated
    Mar 15, 2024
    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
    Aug 1, 2018 - Jul 1, 2019
    Area covered
    Iran
    Description

    Iran Consumer Price Index (CPI): Urban: Food and Non-Alcoholic Beverages (FB) data was reported at 220.400 Apr2016-Mar2017=100 in Jul 2019. This records an increase from the previous number of 216.900 Apr2016-Mar2017=100 for Jun 2019. Iran Consumer Price Index (CPI): Urban: Food and Non-Alcoholic Beverages (FB) data is updated monthly, averaging 166.900 Apr2016-Mar2017=100 from Mar 2018 (Median) to Jul 2019, with 17 observations. The data reached an all-time high of 220.400 Apr2016-Mar2017=100 in Jul 2019 and a record low of 115.800 Apr2016-Mar2017=100 in Mar 2018. Iran Consumer Price Index (CPI): Urban: Food and Non-Alcoholic Beverages (FB) data remains active status in CEIC and is reported by Statistical Centre of Iran. The data is categorized under Global Database’s Iran – Table IR.I002: Consumer Price Index: April 16-March 17=100: Statistical Centre of Iran: Urban.

  14. w

    UK Customer Services Contacts Database

    • data.wu.ac.at
    • datamx.io
    csv, html +1
    Updated Aug 10, 2015
    + more versions
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    Fixithere (2015). UK Customer Services Contacts Database [Dataset]. https://data.wu.ac.at/schema/datamx_io/MzgzYTYzZWQtZTE4NC00NTJkLWIyYzQtZWM4ZDQ0MjFiNmVj
    Explore at:
    html, csv, vnd.google-earth.kml+xmlAvailable download formats
    Dataset updated
    Aug 10, 2015
    Dataset provided by
    Fixithere
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Description

    Customer Contacts Database Information showing customer contacts to UK Contact Centres and One Stop Centres by month. Dataset Guidance:

      F2F = Face-to-face (One Stop Centre) 
      CC = Contact centre (Call centre/telephone) 
    

    Contains customer contact details, support details and support emails. Data collection Published by Intellectual Property Office.

    Customer contact data helps support the provision of the corporate data as well as assisting customers with their dealings with IPO. For example contacting customers regarding - acceptance or rejection of services, patents or designs, usage of products and telecommunication services provided by big brands such, Sky, BT, Vodafone, Virginmedia & more.

  15. United States Consumer Credit Outstanding: sa: Revolving

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States Consumer Credit Outstanding: sa: Revolving [Dataset]. https://www.ceicdata.com/en/united-states/consumer-credit-outstanding-and-terms-of-credit/consumer-credit-outstanding-sa-revolving
    Explore at:
    Dataset updated
    Mar 15, 2023
    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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Loans
    Description

    United States Consumer Credit Outstanding: sa: Revolving data was reported at 1,039.314 USD bn in May 2018. This records an increase from the previous number of 1,029.562 USD bn for Apr 2018. United States Consumer Credit Outstanding: sa: Revolving data is updated monthly, averaging 137.247 USD bn from Jan 1955 (Median) to May 2018, with 761 observations. The data reached an all-time high of 1,039.314 USD bn in May 2018 and a record low of 0.000 USD bn in Dec 1967. United States Consumer Credit Outstanding: sa: Revolving data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KA011: Consumer Credit Outstanding and Terms of Credit. On June 7, 2012, the Consumer Credit (G.19) series has been restructured to reflect regulatory filing changes for U.S.-chartered depository institutions. These changes will be accompanied by the revisions to the estimates of outstanding consumer credit back to January 2006.

  16. United States CPI U: EC: Comm: Postage & Delivery

    • ceicdata.com
    + more versions
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    CEICdata.com, United States CPI U: EC: Comm: Postage & Delivery [Dataset]. https://www.ceicdata.com/en/united-states/consumer-price-index-urban
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    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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Consumer Prices
    Description

    CPI U: EC: Comm: Postage & Delivery data was reported at 185.104 Dec1997=100 in Jun 2018. This records an increase from the previous number of 185.066 Dec1997=100 for May 2018. CPI U: EC: Comm: Postage & Delivery data is updated monthly, averaging 132.671 Dec1997=100 from Dec 1997 (Median) to Jun 2018, with 247 observations. The data reached an all-time high of 185.104 Dec1997=100 in Jun 2018 and a record low of 100.000 Dec1997=100 in Feb 1998. CPI U: EC: Comm: Postage & Delivery data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I002: Consumer Price Index: Urban.

  17. d

    Phone Number Data | USA Coverage | 765 Mil+ Numbers

    • datarade.ai
    .csv
    + more versions
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    BIGDBM, Phone Number Data | USA Coverage | 765 Mil+ Numbers [Dataset]. https://datarade.ai/data-products/bigdbm-us-consumer-phone-package-bigdbm
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    .csvAvailable download formats
    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 processed and cleansed using telecom carrier data. The telecom data, including phone and texting activity, porting instances, carrier scoring, spam, and known fraud activity, comprise a proprietary Phone Quality Level (PQL), which is a data-science derived score to ensure the highest levels of deliverability at a fraction of the cost compared to competitors.

    We have developed this file to be tied to our Consumer Demographics Database so additional demographics can be applied as needed. Each record is ranked by confidence and only the highest quality data is used.

    Note - all Consumer packages can include necessary PII (address, email, phone, DOB, etc.) for merging, linking, and activation of the data.

    BIGDBM Privacy Policy: https://bigdbm.com/privacy.html

  18. m

    Consumer acceptance intention towards Circular Business Models

    • data.mendeley.com
    Updated Jun 4, 2024
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    Tuan Pham (2024). Consumer acceptance intention towards Circular Business Models [Dataset]. http://doi.org/10.17632/7tvt6bdy4v.2
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    Dataset updated
    Jun 4, 2024
    Authors
    Tuan Pham
    License

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

    Description

    Data for publication in Data in Brief | Consumer acceptance intention towards Circular Business Models

  19. T

    United States Consumer Credit Change

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 6, 2025
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    TRADING ECONOMICS (2025). United States Consumer Credit Change [Dataset]. https://tradingeconomics.com/united-states/consumer-credit
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Jun 6, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Feb 28, 1943 - May 31, 2025
    Area covered
    United States
    Description

    Consumer Credit in the United States decreased to 5.10 USD Billion in May from 16.87 USD Billion in April of 2025. This dataset provides the latest reported value for - United States Consumer Credit Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  20. F

    Consumer Price Index for All Urban Consumers: Services Less Energy Services...

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Services Less Energy Services in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUSR0000SASLE
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Services Less Energy Services in U.S. City Average (CUSR0000SASLE) from Jan 1967 to May 2025 about energy, urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.

Share
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Federal Motor Carrier Safety Administration (2024). National Consumer Complaint Database (NCCDB) - National Consumer Complaint Database [Dataset]. https://catalog.data.gov/dataset/national-consumer-complaint-database-nccdb-national-consumer-complaint-database

National Consumer Complaint Database (NCCDB) - National Consumer Complaint Database

Explore at:
Dataset updated
Jun 26, 2024
Dataset provided by
Federal Motor Carrier Safety Administration
Description

NCCDB is a web-based information system for recording and reporting on household goods, safety violation, hazardous material, cargo tank and passenger complaints. NCCDB allows the public and FMCSA staff to submit complaints using an online form. The database contains, among other information, reports on inspection and test of cargo tanks and inventory of tanks. These reports are used in the development and amendment to regulations of cargo security which is the protection of cargo from theft.

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