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.

According to a 2023 survey among marketing associates from brands in Hong Kong, consumer data was crucial for marketing. However, less than a quarter of respondents reported that their companies had not collected any customer data. Another ** percent stated that their companies stored consumer data in separate databases.

The US Cell Phone Database: Consumer & Business Contacts is AmeriList’s premier mobile-first dataset, built for marketers, agencies, and enterprises that demand accurate, compliant, and scalable U.S. cell phone data. Covering millions of verified consumer and business mobile numbers, and refreshed weekly for accuracy, this file is one of the most reliable and frequently updated cell phone databases available today.

Why Choose This Database? Today’s marketing success depends on reaching your audience where they are, and that’s on their mobile devices. With this dataset, you gain:

• Nationwide coverage of U.S. consumer and business cell phone contacts.
• Verified mobile numbers that can be DNC-scrubbed to support compliance and responsible outreach.
• Multi-channel readiness with delivery via CSV, API, SFTP, or cloud integrations (AWS, GCP, Azure).

Key Features: - Millions of verified consumer and business mobile phone numbers. - Weekly update cycle to maintain accuracy and compliance.

Schema Preview: First_Name, Last_Name, Phone_Number, DNC_Flag

Use Cases This dataset powers a wide range of mobile-first and cross-channel marketing strategies:

• SMS Campaigns: Deliver time-sensitive promotions and personalized offers.
• Outbound Calling: Connect directly with decision-makers and consumers.
• Mobile-First Advertising: Enhance digital campaigns with compliant mobile targeting.

Industries That Benefit - Retail & E-commerce: Deliver SMS promotions, loyalty program updates, and flash sale alerts. - Healthcare: Share wellness updates, insurance enrollment opportunities, and educational campaigns. - Financial Services & Insurance: Connect with prospects for loan offers, credit card promotions, or new insurance plans. - Real Estate & Home Services: Reach potential buyers, renters, and homeowners with property alerts and service offers.

Why AmeriList? For over 20 years, AmeriList has been a trusted leader in direct marketing data solutions. Our expertise in consumer and business contact databases ensures not only the accuracy of the phone numbers we provide, but also the compliance and strategic value they deliver. With a strong focus on TCPA and CAN-SPAM regulations, data quality, and ROI, AmeriList empowers brands and agencies to unlock the full potential of mobile-first marketing campaigns.

The US Consumer Household Database — Weekly Refreshed is AmeriList’s premier consumer dataset, built for marketers, agencies, and enterprises that demand accurate, scalable, and timely U.S. consumer data. Covering over 200 million households nationwide and enriched with 200+ lifestyle, demographic, and behavioral attributes, this file is one of the most complete and frequently updated consumer databases available today.

Why Choose This Database?

Today’s marketing success depends on reaching the right audience at the right time. With this dataset, you gain: - Nationwide coverage of U.S. households (≈95%). - Unmatched attribute depth including age, income, marital status, homeownership, and lifestyle interests. - Freshness you can trust with weekly updates to keep your campaigns aligned with real-world consumer changes. - Multi-channel readiness with delivery via CSV, API, SFTP, or cloud integrations (AWS, GCP, Azure).

Key Features - 200M+ U.S. households for broad reach. - 200+ attributes spanning demographics, lifestyle, purchase signals, and household composition. - Household-level granularity with linkable fields for segmentation and modeling. - Evaluation samples under NDA to test match rates and validate quality.

Use Cases This dataset powers a wide range of data-driven marketing strategies:

• Direct Mail Lists: Reach targeted households with personalized campaigns.
• CRM Enrichment: Append missing consumer attributes to strengthen customer records.
• Audience Segmentation: Build granular segments for more relevant messaging.
• Look-Alike Modeling: Expand your audience with predictive targeting.
• Digital Marketing: Activate high-value segments across social, programmatic, and CTV campaigns.

Industries That Benefit

• Retail & E-commerce: Personalize offers for higher conversions.
• Financial Services & Insurance: Target households by income, homeownership, or life stage.
• Healthcare & Wellness: Engage consumers with relevant health and lifestyle attributes.
• Automotive: Reach in-market households for new and used vehicles.
• Real Estate & Home Services: Connect with homeowners, renters, and movers.

Licensing & Access

The US Consumer Household Database is offered via 12-month subscription, with continuous weekly updates included. Evaluation samples are available under NDA. Flexible licensing models ensure it fits enterprises of all sizes.

Why AmeriList? For over 20 years, AmeriList has been a trusted leader in direct marketing data solutions. Our expertise in consumer databases, mailing lists, and CRM enrichment ensures not only the accuracy of the data but also the strategic value it delivers. With a focus on quality, compliance, and ROI, AmeriList helps brands and agencies unlock the full potential of consumer marketing.

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.

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.

Dataset Description

This dataset contains 500 records of customer transactions across five distinct bakeries, providing a rich source of information for analyzing consumer behavior in the bakery industry. Each record is characterized by several key features:

• Bakery_ID: A unique identifier for each bakery, allowing for comparative analysis across different locations.
• Customer_ID: A unique identifier assigned to each customer, facilitating individual transaction tracking without personal identification.
• Items_Purchased: The quantity of items purchased in each transaction, which helps gauge customer buying habits and preferences.
• Amount_Spent: The total expenditure of each customer during their visit, serving as a primary metric for assessing customer spending behavior.
• Payment_Method: The method used by customers to complete their purchases, including options like Card, Cash, and Mobile Payment, which offers insights into payment trends and preferences.
• Loyalty Member: This column indicates whether the customer is a member of the bakery's loyalty program. Analyzing loyalty membership data can provide insights into customer retention and the effectiveness of loyalty initiatives in driving repeat business.
• Age: This column indicates the age of the customer at the time of purchase. It helps analyze spending patterns and preferences across different age groups.
• Gender: This column represents the gender of the customer, providing insights into purchasing behavior and preferences. Analyzing gender data can assist bakeries in tailoring marketing strategies and product offerings.
• Purchase_Date: This column records the date of each transaction, allowing for the identification of seasonal trends and peak shopping periods. It aids in understanding customer buying behavior over time.
• Time_of_Purchase: This column categorizes the time of day when the purchase was made. Analyzing this data helps identify peak hours for customer visits, enabling bakeries to optimize staffing and inventory.

This dataset is designed to facilitate various analyses, including spending patterns, payment method preferences, and overall consumer trends in the bakery sector. By utilizing this dataset, stakeholders can derive actionable insights to enhance customer engagement, optimize product offerings, and inform marketing strategies.

Success.ai’s B2C Contact Data Real-Time API provides businesses with on-demand access to continuously updated consumer information, ensuring your marketing and engagement strategies always remain current and impactful. By leveraging AI-validated data from over 700 million global profiles, this API empowers you to adapt swiftly to changes in consumer demographics, behaviors, and purchasing patterns.

From personalizing offers to targeting the right audiences at the right time, Success.ai’s real-time consumer data ensures every interaction is more relevant, timely, and effective. Backed by our Best Price Guarantee, this solution helps you stay ahead in a rapidly evolving consumer market.

Why Choose Success.ai’s B2C Contact Data Real-Time API?

1. Continuously Updated Consumer Data

   • Access the most recent consumer profiles, ensuring you’re always engaging with active, relevant audiences.
   • Real-time data refreshes keep pace with shifting consumer trends, enabling agile decision-making.

2. Comprehensive Global Coverage

   • Includes consumer information from key markets worldwide, allowing you to scale campaigns and tap into emerging demographics.
   • Gain insights into purchasing behaviors, brand preferences, and lifestyle indicators across regions and sectors.

3. AI-Validated Accuracy and Reliability

   • AI-driven validation ensures 99% accuracy, reducing wasted outreach and maximizing campaign success rates.
   • Trust that your data is always high-quality, actionable, and ready to inform your marketing strategies.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring your data usage remains responsible and lawful.

Data Highlights:

• 700M+ Global Profiles: Access a vast and diverse pool of consumer data for more informed targeting.
• Real-Time Updates: Continuously updated data ensures timely relevance, supporting dynamic marketing strategies.
• Behavioral and Lifestyle Insights: Understand consumer behaviors, interests, and preferences to tailor campaigns and messaging.
• Demographic and Purchasing Patterns: Leverage key indicators like age, location, and past purchase behaviors to refine targeting.

Key Features of the Real-Time API:

1. Instant Data Enrichment

   • Seamlessly enhance your CRM or marketing platforms with fresh consumer data, eliminating manual updates and data decay.
   • Maintain top-notch data hygiene to support long-term ROI on marketing efforts.

2. Powerful Filtering and Segmentation

   • Query the API using advanced parameters like demographics, interests, or purchase history.
   • Zero in on precise audience segments for higher conversion rates and personalized consumer experiences.

3. Adaptive Marketing Campaigns

   • Respond quickly to evolving market conditions, seasonal trends, or shifting consumer preferences.
   • Dynamically adjust campaigns and content strategies as new data emerges, ensuring ongoing relevance.

4. AI-Driven Validation

   • Rely on an AI-powered validation framework that continuously verifies data accuracy.
   • Improve reliability and reduce the risk of inaccurate targeting or messaging.

Strategic Use Cases:

1. Personalized Marketing Campaigns

   • Tailor your messaging, offers, and content based on real-time consumer insights.
   • Increase engagement, loyalty, and sales by delivering relevant experiences that resonate with target audiences.

2. Audience Expansion and Market Entry

   • Identify new consumer segments and emerging markets supported by the latest consumer profiles.
   • Confidently enter new territories or product categories, backed by high-quality, up-to-date data.

3. Competitive Analysis and Market Insights

   • Monitor changing consumer preferences, compare segments, and spot trends before competitors do.
   • Refine product development, pricing strategies, and promotions to stay ahead of industry shifts.

4. Enhanced Customer Support and Retention

   • Equip support teams with updated consumer data to address inquiries more effectively.
   • Strengthen customer relationships through personalized interactions and timely problem resolution.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality B2C contact data at highly competitive prices, ensuring strong ROI for your marketing, sales, and operational initiatives.

2. Seamless Integration

   • Integrate the Real-Time API into CRM systems, marketing automation tools, or analytics platforms with ease, streamlining workflows and minimizing complexity.

3. Data Accuracy with AI Validation

   • Rely on 99% accuracy to guide data-driven decisions, refine targeting, and enhance overall engagement outcomes.

4. Customizable and Scalable Solutions

   • Tailor datasets to focus on specific demographics, interests, or regions, adapting as your business needs evolve a...

Valentine's Day Consumer Data

Happy Valentine's Day! In this dataset, we're exploring Valentine's Day survey data. The National Retail Federation in the United States conducts surveys and has created a Valentine's Day Data Center so you can explore the data on how consumers celebrate.

The NRF has surveyed consumers about how they plan to celebrate Valentine’s Day annually for over a decade. Take a deeper dive into the data from the last 10 years, and explore the demographic breakdown of total spending, average spending, types of gifts planned, and spending per type of gift.

Data Dictionary

historical_spending.csv

gifts_age.csv

gifts_gender.csv

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.

In a 2024 survey of small business leaders and IT professionals in the United States, 58 percent of respondents stated that employee data was their most compromised company data in cyberattacks. Additionally, 53 percent of respondents reported customer or consumer data as the second most impacted company data.

Consumer complaints registered with the Oregon Dept. of Justice. The database of consumer complaints is derived from consumer contacts for the years of 2017 - 2019 and is for informational purposes only. This dataset may not offer a completely accurate or comprehensive account of every incident. Several factors, including a company’s size and volume of transactions, may affect the likelihood of a consumer complaint being filed. The number of complaints about a business may not be a reliable measure as to whether it is appropriately conducting business. The information in this dataset is updated as soon as possible. However, recently submitted complaints may not be immediately available. The statements in this dataset do not necessarily reflect the opinion of the DOJ. For more information, see http://www.doj.state.or.us/finfraud/index.shtml

Consumer Data Right (CDR) Market Outlook

According to our latest research, the Global Consumer Data Right (CDR) market size was valued at $1.7 billion in 2024 and is projected to reach $7.9 billion by 2033, expanding at a robust CAGR of 18.2% during the forecast period of 2025–2033. The primary driver fueling this exponential growth is the worldwide acceleration of data-driven digital transformation, particularly in highly regulated sectors such as banking, energy, and telecommunications. With increasing consumer awareness about data privacy and ownership, regulatory mandates like the Consumer Data Right in Australia and Open Banking in the UK are setting global precedents, compelling organizations to adopt CDR-compliant solutions to enhance transparency, foster innovation, and deliver customer-centric services.

Regional Outlook

North America currently holds the largest share of the global Consumer Data Right market, accounting for approximately 38% of total revenue in 2024. This dominance is attributed to the region’s mature technological infrastructure, early adoption of data privacy regulations, and the presence of leading financial and technology firms that have pioneered CDR implementation. The United States, in particular, has witnessed substantial investments in open banking and data portability initiatives, driven by both regulatory encouragement and consumer demand for personalized digital services. Additionally, proactive government policies and strong collaboration between public and private sectors have created a conducive environment for CDR platform providers and service integrators to thrive, further reinforcing North America’s leadership position in this evolving market.

The Asia Pacific region is projected to be the fastest-growing market for Consumer Data Right, with a forecasted CAGR exceeding 22% from 2025 to 2033. This rapid growth is underpinned by significant regulatory reforms in countries like Australia, Singapore, and Japan, where consumer data initiatives are being rolled out across banking, energy, and telecommunications sectors. The Australian Consumer Data Right framework, in particular, has set a benchmark for other nations in the region, catalyzing investments in secure data-sharing ecosystems and fostering innovation in fintech and energy retailing. The surge in digital banking, expanding mobile penetration, and a burgeoning middle-class population with rising expectations for data autonomy are further propelling adoption across Asia Pacific, making it a hotbed for CDR-related technology investments and partnerships.

Emerging economies in Latin America, the Middle East, and Africa are witnessing a gradual yet steady uptake of Consumer Data Right solutions, primarily driven by increasing digitization and the modernization of financial and utility sectors. However, these regions face unique challenges such as fragmented regulatory landscapes, limited infrastructure, and varying levels of digital literacy, which can impede widespread adoption. Despite these hurdles, localized demand for secure and transparent data-sharing mechanisms is growing, especially as governments and industry bodies work to harmonize standards and incentivize innovation. Strategic collaborations with global technology providers and targeted policy interventions are expected to unlock latent potential in these markets over the next decade.

Report Scope

Description: This dataset includes detailed demographic and behavioral information about restaurant consumers. It is designed to provide insights into consumer profiles, preferences, and habits, which can be useful for improving customer experience and developing targeted marketing strategies.

Features:

Consumer_ID: A unique identifier assigned to each consumer in the dataset. City: The city where the consumer resides. State: The state or province where the consumer is located. Country: The country where the consumer lives. Latitude: The geographical latitude of the consumer’s location. Longitude: The geographical longitude of the consumer’s location. Smoker: Indicates whether the consumer is a smoker (e.g., Yes/No). Drink_Level: The consumer’s level of alcohol consumption (e.g., None, Light, Moderate, Heavy). Transportation_Method: The mode of transportation the consumer uses to travel to the restaurant (e.g., Car, Public Transit, Walking). Marital_Status: The consumer’s marital status (e.g., Single, Married, Divorced, Widowed). Usage:

Consumer Profiling: Understand the demographics and habits of different consumer segments to tailor marketing strategies and restaurant offerings. Location Analysis: Analyze consumer location data to identify key markets and optimize restaurant placement or delivery areas. Behavioral Insights: Study smoking and drinking habits to adjust menu options and enhance customer experience. Transportation Trends: Assess how consumers travel to the restaurant to improve accessibility and convenience. Source: The data is collected from restaurant surveys, customer profiles, and demographic studies.

Notes:

Ensure that personal data is handled securely and in compliance with privacy regulations. Regular updates may be necessary to reflect changes in consumer behavior and demographics.

Azerbaijan phone number database is one of our most refined contact directories. Also, we can ensure you that we will only provide you with accurate and real leads. The list is useable on any CRM platform. In short, purchasing the Azerbaijan phone number database may be the greatest move for your business or organization. You may be sure that faulty and incorrect information will hurt your company from the ground up. Consequently, it’s critical to obtain the correct contacts for the relevant individuals. But List to Data ensures you that you will only get verified mobile number databases from us. Hence, contact us and order the dataset now! Azerbaijan mobile number data is a trustworthy assemblage of consumer databases. Again, the contacts and information in this dataset are actual, authentic, and real. With this in mind, List to Data is authorized to sell contact lists and other information online. All our contacts are GDPR-ready. Right now, Azerbaijan mobile number data is the most appropriate and useful approach to locate the correct customer. To start, you need a strong marketing plan that will enable you to specifically target the clients you want to attract.

Key information about United States Consumer Confidence Growth

• United States Consumer Confidence dropped by 21.4 % in Nov 2025, compared with a decrease of 12.9 % in the previous month.
• US Consumer Confidence: YoY Change is updated monthly, available from Feb 1968 to Nov 2025, averaged at -0.7 %.
• The data reached an all-time high of 116.9 % in Dec 1975 and a record low of -66.9 % in Feb 2009.
• In the latest reports, Retail Sales of US grew 4.1 % YoY in Sep 2025.

Records from operating a customer call center or service center providing services to the public. Services may address a wide variety of topics such as understanding agency mission-specific functions or how to resolve technical difficulties with external-facing systems or programs. Includes:rn- incoming requests and responsesrn- trouble tickets and tracking logs rn- recordings of call center phone conversations with customers used for quality control and customer service trainingrn- system data, including customer ticket numbers and visit tracking rn- evaluations and feedback about customer servicesrn- information about customer services, such as “Frequently Asked Questions” (FAQs) and user guidesrn- reports generated from customer management datarn- complaints and commendation records; customer feedback and satisfaction surveys, including survey instruments, data, background materials, and reports.

Boost your marketing with Success.ai’s Consumer Marketing Data API. Access detailed demographic, behavioral, and purchasing data to craft targeted campaigns that resonate—best price guaranteed!

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.

Our highly-targeted consumer healthcare database includes:

🗸 Name 🗸 Postal Address, Email Address, Telephone Number 🗸 Age, Gender 🗸 Most likely to ask a Doctor About an Advertised Prescription Medicine 🗸 Most likely looked for Medical Information on the Web 🗸 Most Likely to Prefer Brand Name Medicines 🗸 Most Likely to Buy Prescriptions through the Mail

The dataset is available for purchase by US region: 🗸 New England (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont) 🗸 Middle Atlantic (New Jersey, New York, and Pennsylvania) 🗸 East North Central (Illinois, Indiana, Michigan, Ohio, and Wisconsin) 🗸 West North Central (Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota) 🗸 South Atlantic (Delaware; Florida; Georgia; Maryland; North Carolina; South Carolina; Virginia; Washington, D.C. and West Virginia) 🗸 East South Central (Alabama, Kentucky, Mississippi, and Tennessee) 🗸 West South Central (Arkansas, Louisiana, Oklahoma, and Texas) 🗸 Mountain (Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, and Wyoming) 🗸 Pacific (Alaska, California, Hawaii, Oregon, and Washington)