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TwitterWhen asked about "Most common mobile data plans", ** percent of U.S. respondents answer ********. This online survey was conducted in 2025, among 12,522 consumers.
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| BASE YEAR | 2024 |
| HISTORICAL DATA | 2019 - 2023 |
| REGIONS COVERED | North America, Europe, APAC, South America, MEA |
| REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| MARKET SIZE 2024 | 40.1(USD Billion) |
| MARKET SIZE 2025 | 42.5(USD Billion) |
| MARKET SIZE 2035 | 75.0(USD Billion) |
| SEGMENTS COVERED | Plan Type, End User, Data Allowance, Payment Method, Regional |
| COUNTRIES COVERED | US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA |
| KEY MARKET DYNAMICS | Growing demand for flexibility, Rising adoption of eSIM technology, Increased affordability of smartphones, Expansion of digital payment solutions, Enhanced data plan offerings |
| MARKET FORECAST UNITS | USD Billion |
| KEY COMPANIES PROFILED | KDDI, Verizon, Deutsche Telekom, AT&T, Sprint, Telia Company, America Movil, China Mobile, Vodafone, NTT Docomo, TMobile, Orange, Bharti Airtel, China Telecom |
| MARKET FORECAST PERIOD | 2025 - 2035 |
| KEY MARKET OPPORTUNITIES | Increasing smartphone penetration, Expansion in emerging markets, Demand for flexible payment options, Growth of digital payment solutions, Rising preference for contract-free plans |
| COMPOUND ANNUAL GROWTH RATE (CAGR) | 5.9% (2025 - 2035) |
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| BASE YEAR | 2024 |
| HISTORICAL DATA | 2019 - 2023 |
| REGIONS COVERED | North America, Europe, APAC, South America, MEA |
| REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| MARKET SIZE 2024 | 29.0(USD Billion) |
| MARKET SIZE 2025 | 30.6(USD Billion) |
| MARKET SIZE 2035 | 51.4(USD Billion) |
| SEGMENTS COVERED | Plan Type, Number of Lines, Additional Features, Customer Segment, Regional |
| COUNTRIES COVERED | US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA |
| KEY MARKET DYNAMICS | increased consumer demand, competitive pricing strategies, family-centric marketing, technological advancements, flexible plan options |
| MARKET FORECAST UNITS | USD Billion |
| KEY COMPANIES PROFILED | Rogers Communications, SingTel, Verizon, Bell Canada, Deutsche Telekom, AT&T, Sprint, BT Group, Dish Network, Vodafone, Comcast, TMobile, Orange, Telstra |
| MARKET FORECAST PERIOD | 2025 - 2035 |
| KEY MARKET OPPORTUNITIES | Increased demand for shared plans, Expansion in digital services integration, Growth among millennial families, Rising focus on cost savings, Enhanced family safety features |
| COMPOUND ANNUAL GROWTH RATE (CAGR) | 5.4% (2025 - 2035) |
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TwitterThis statistic shows the average monthly wireless data usage per Android user in the United States in *************, broken down by plan type. In *************, Android users on the service plan with monthly allowance consumed an average of ****** megabytes of Wifi data per month in the United States.
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TwitterThis statistic shows the average price of cellular data per gigabyte in the United States from 2018 to 2023. In 2018, the average price of cellular data was estimated to amount to 4.64 U.S. dollars per GB.
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TwitterNOTE: To review the latest plan, make sure to filter the "Report Year" column to the latest year. This dataset lists all datasets reported by agencies in their Annual Compliance plans for release on NYC Open Data. For the latest status, please refer to the NYC Open Data Release Tracker.
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TwitterAround 22% of American adults are still on their parents’ phone plan. Read on to learn how each generation handles family plans and how to get your own plan if you’re ready for financial independence.
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TwitterKey indicators of broadband adoption, service and infrastructure in New York City.
Data Limitations: Data accuracy is limited as of the date of publication and by the methodology and accuracy of the original sources. The City shall not be liable for any costs related to, or in reliance of, the data contained in these datasets.
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TwitterKey indicators of the availability of internet service choice and speed based on publicly available data from the Federal Communications Commission
Data Limitations: Data accuracy is limited as of the date of publication and by the methodology and accuracy of the original sources. The City shall not be liable for any costs related to, or in reliance of, the data contained in these datasets.
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TwitterNOTE: To review the latest plan, make sure to filter the "Report Year" column to the latest year. The list of datasets identified via FOIL reporting and their respective release statuses.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
The Health Insurance Marketplace Public Use Files contain data on health and dental plans offered to individuals and small businesses through the US Health Insurance Marketplace.
To help get you started, here are some data exploration ideas:
See this forum thread for more ideas, and post there if you want to add your own ideas or answer some of the open questions!
This data was originally prepared and released by the Centers for Medicare & Medicaid Services (CMS). Please read the CMS Disclaimer-User Agreement before using this data.
Here, we've processed the data to facilitate analytics. This processed version has three components:
The original versions of the 2014, 2015, 2016 data are available in the "raw" directory of the download and "../input/raw" on Kaggle Scripts. Search for "dictionaries" on this page to find the data dictionaries describing the individual raw files.
In the top level directory of the download ("../input" on Kaggle Scripts), there are six CSV files that contain the combined at across all years:
Additionally, there are two CSV files that facilitate joining data across years:
The "database.sqlite" file contains tables corresponding to each of the processed CSV files.
The code to create the processed version of this data is available on GitHub.
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The wireless telecommunication carrier industry has witnessed significant shifts recently, driven by evolving consumer demands and technological advancements. The popularity of smartphones and rising data consumption habits have mainly driven growth. Households have chosen to disconnect their landlines to cut costs and receive network access away from home. Industry revenue was bolstered during the current period by a surge in mobile internet demand. The revival of unlimited data and call plans prompted industry-wide adjustments to pricing and data offerings. While competition has intensified, leading to price wars and slender margins, carriers have embraced bundled offerings of value-added services, like streaming subscriptions, to distinguish themselves. Despite these efforts, revenue growth remains sluggish amid high operational costs and a saturated market. Overall, Wireless Telecommunications Carriers' revenue has modestly grown at an annualized rate of 0.1% to total $340.3 billion in 2025, when revenue will climb an estimated 6.0%, as the early shift to fifth-generation (5G) enables businesses to renegotiate the current product-price paradigm with consumers. The industry is defined by a transition from primarily providing voice services to focusing on providing data services. Technological change, namely the shift from fourth-generation (4G) wireless data services to 5G, continues to shape the industry. Companies expand scope through mergers and acquisitions, acquiring spectrum and niche customer bases. The battle for wireless spectrum intensified as 5G technology became a focal point, requiring carriers to secure valuable frequency bands through hefty investments. For instance, Verizon's $45 billion expenditure in the C-band spectrum auction highlights the critical importance of spectrum acquisition. While Federal Communications Commission (FCC) regulations have curtailed large-scale consolidations, strategic alliances and mergers have been common to share infrastructure and expand market reach. Also, unlimited data plans have shaken up cost structures and shifted consumers to new providers. Following the expansion of unlimited data and calls, profit is poised to inch downward as the cost of acquiring new customers begins to mount. Profitability is additionally hindered by supply chain disruptions, which still loom large, as equipment delays and price hikes impact rollout timeliness. Industry revenue is forecast to incline at an annualized 5.4% through 2030, totaling an estimated $443.5 billion, driven by the expansion of mobile devices using data services and increasing average revenue per user. As the rollout of 5G networks increases the speed of wireless data services, more consumers will view on-the-go internet access as an essential function of mobile phones. Moving forward, the industry landscape will be characterized by the heightened competition among carriers for wireless spectrum, an already scarce resource and efforts to connect more Americans in remote parts of the country to fast and reliable internet. Subscriber saturation presents a formidable challenge, compelling carriers to focus on existing customers and innovative service packages. Companies like AT&T and Verizon are pioneering flexible infrastructure projects, which could redefine the industry’s operational efficiency. Despite facing spectrum supply limitations, the industry is poised to benefit from seamless connectivity solutions for various sectors, potentially redefining wireless carriers’ roles in an increasingly interconnected world.
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TwitterOne gigabyte of mobile internet in Côte d'Ivoire cost, on average, **** U.S. dollars in 2023. Out of 38 data plans measured in the country, the lowest price observed was **** U.S. dollars per 1GB, for ** days. In the most expensive plan, 1GB cost **** U.S. dollars.
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TwitterTravel eSIM users spent an average of **** U.S. dollars per gigabyte of data when abroad in 2024, compared to **** U.S. dollars when using roaming with an existing mobile plan. eSIMs have become a popular means of saving money while consuming data abroad, with travelling mobile users able to activate a local data plan by scanning a QR code or following a link.
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TwitterNOTE: To review the latest plan, make sure to filter the "Report Year" column to the latest year.
Data on public websites maintained by or on behalf of the city agencies.
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TwitterBy Data Society [source]
This fascinating dataset from the Centers for Medicare & Medicaid Services provides an in-depth analysis of health insurance plans offered throughout the United States. Exploring this data, you can gain insights into how plan rates and benefits vary across states, explore how plan benefits relate to plan rates, and investigate how plans vary across insurance network providers.
The top-level directory includes six CSV files which contain information about: BenefitsCostSharing.csv; BusinessRules.csv; Network.csv; PlanAttributes.csv; Rate.csv; and ServiceArea.csv - as well as two additional CSV files which facilitate joining data across years: Crosswalk2015.csv (joining 2014 and 2015 data) and Crosswalk2016
For more datasets, click here.
- 🚨 Your notebook can be here! 🚨!
This Kaggle dataset contains comprehensive data on US health insurance Marketplace plans. The data was obtained from the Centers for Medicare & Medicaid Services and contains information such as plan rates and benefits, metal levels, dental coverage, and child/adult-only coverages.
In order to use this dataset effectively, it is important to understand the different columns/variables that make up the dataset. The columns are state, dental plan, multistate plan (2015 and 2016), metal level (2014-2016), child/adult-only coverage (2014-2016), FIPS code (Federal Information Processing Standard code for the particular state), zipcode, crosswalk level (level of crosswalk between 2014-2016 data sets), reason for crosswalk parameter.
Using this dataset can help you answer interesting questions about US health insurance Marketplace plans across different variables such as state or rate information. It may also be interesting to compare certain variables over time with respect to how they affect certain types of people or how they differ across states or regions. Additionally, an analysis of the different price points associated with various kinds of coverage could provide insights into which kinds of plans are most attractive in various marketplaces based on cost savings alone
Once you have a good understanding of your data by studying individual parameters in depth across multiple states or regions you can begin looking at correlations between different parameters You can identify patterns that emerge around common characteristics or trends within areas or across markets over time when you have gathered sufficient historical data:
- Does higher out of pocket limits tend to come with higher premiums?
- Are there more multi-state markets in some states than others?
- What type of metal levels does each region prefer?
- Examining the impacts of age, metal levels and plan benefits on insurance rates in different states.
- Analyzing how dental plans vary across different states/regions and examining whether there are correlations between affordability and quality of care among plans with dental coverage options.
- Investigating how the Crosswalk level affects insurance rates by comparing insurance premiums from different metals level across states with varying Crosswalk Levels (e.g., how does a Bronze plan differ in cost for two states with differing Crosswalk Level 1 vs 2)
If you use this dataset in your research, please credit the original authors. Data Source
License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.
File: Crosswalk2016.csv | Column name | Description | |:------------------------------|:------------------------------------------------------------------------------------------------------------------------------| | State | The state in which...
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Powerful personal computers, high-bandwidth and wireless networking technologies, and the widespread use of the Internet have transformed stand-alone computing systems and predominantly closed networks into the virtually seamless fabric of today`s information technology IT infrastructure. This infrastructure provides for the processing, transmission, and storage of vast amounts of vital information used in virtually every facet of society, and it enables Federal agencies to routinely interact with each other as well as with industry, private citizens, state and local governments, and the governments of other nations...
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TwitterThis dataset contains a tabular version of the Project Inventory that appears in the state of Connecticut's Annual Recovery Performance Plans submitted to the US Treasury Department. This inventory includes each project's ID number as well as a description of the project, its budget, and any performance updates available as of July 31, 2025.
https://portal.ct.gov/opm/coronavirus/coronavirus-relief-fund/american-rescue-plan-act-of-2021
Connecticut's 2023 Recovery Plan Performance Report Connecticut's 2024 Recovery Plan Performance Report Connecticut's 2025 Recovery Plan Performance Report
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The United States Healthcare Discount Plan Market is Segmented by Service Type (Prescription Drugs, Dental Care, Vision Care, Hearing Aids, Chiropractic Care, Virtual Visits, and Other Types), and Coverage Type (Individual, Family, and Others). The report offers the value (in USD million) for the above segments.
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TwitterOne gigabyte of mobile internet in the Central African Republic cost, on average, **** U.S. dollars in 2023. The country ranked among the most expensive for mobile data in Africa. Out of 19 data plans measured in the country, the lowest price observed was **** U.S. dollars per *** for ** days. In the most expensive plan, *** cost ***** U.S. dollars.
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TwitterWhen asked about "Most common mobile data plans", ** percent of U.S. respondents answer ********. This online survey was conducted in 2025, among 12,522 consumers.