| December 6, 2024

Maximizing BEAD Dollars: How Connectivity Data Can Guide Emergency Planning

During emergencies, mobile coverage is critical for everyone – to contact family, check evacuation warnings, and find safe routes – but network congestion and coverage gaps often create critical communication failures. As natural disasters become more frequent and severe, the need for reliable mobile connectivity has never been more urgent, particularly along emergency evacuation routes.

Fortunately, multiple funding sources will soon be available to help bolster connectivity infrastructure across the country. Several states, including South Carolina and Massachusetts, expect to have BEAD non-deployment dollars available after meeting their initial broadband deployment obligations. The FCC’s $9 billion Rural 5G Fund aims to improve mobile connectivity in underserved and unserved areas, presenting a significant opportunity in the next few years to close wireless coverage gaps. 

To maximize the impact of these funds, stakeholders can leverage non-deployment dollars for a variety of projects, including those that improve mobile communications. When public safety is considered, priority may be given to critical transportation corridors such as emergency evacuation routes. These targeted investments would help improve network performance where it’s most needed during emergency situations. However, to ensure these funds are deployed efficiently, stakeholders need precise data about existing coverage gaps and network performance.

Ookla’s coverage and network performance data can provide these key insights. In October, the Wireless Infrastructure Association (WIA) organized an event titled, “BEAD 2.0 – Maximizing Connectivity with Non-Deployment Dollars,” hosted by the South Carolina broadband office in Myrtle Beach. One of the key topics discussed was how to identify and address coverage issues using Ookla’s datasets of cellular network signal measurements.

In this article, we’ll discuss the importance of fixed and mobile connectivity in the context of a recent event that caused a massive disruption across an area’s fixed networks. We’ll also explore how Ookla’s Cell Analytics™ data can help identify critical coverage gaps, while digging into solutions for improving mobile connectivity along evacuation routes. Finally, we’ll look at the “double bottom line” effect of improving coverage – a balance of both financial and social benefits for communities and network operators. 

Read on to learn how stakeholders can leverage available funding to enhance emergency communications while also driving economic growth.

Understanding the Challenge

During an emergency, reliable coverage can often mean the difference between safety and danger. Strong mobile connectivity is particularly important given that over half of Affordable Connectivity Program (ACP) users chose to purchase mobile service with the benefit before the program expired in April. For many, mobile is often the only form of connectivity, especially in underserved or rural areas where broadband options may be limited or unavailable.

The importance of connectivity and the impact of coverage gaps becomes clear when looking at the volume of people running a Speedtest during emergencies. When disasters strike, people initially run tests to check if they can still connect. As service returns, test volumes then spike as people assess the performance of their restored connection. Downdetector can then provide more detailed information on outages of specific services, helping users confirm if their key services are up and running.

On September 26, 2024, Hurricane Helene made landfall in Florida and then tore a devastating path through Georgia, western South Carolina, and western North Carolina before stalling over east Tennessee. For two days, record rainfall inundated the mountains, turning smaller waterways into raging rivers, killing over 230 people and causing an estimated $120 billion in damage across those five states as well as Virginia. Recovery efforts remain ongoing as the region works to rebuild following this disaster.

Scores of counties were impacted, but Buncombe County, NC, which includes Asheville, was hit particularly hard. Ookla’s Speedtest platform recorded the impact of connectivity as our daily volume of Speedtest measurements there plummeted from an average of 668 per day to 57 on September 28th as networks failed, demonstrating how emergencies can sever vital communications. But as the networks came back online in the days that followed, test volumes spiked well above normal, peaking at over 3,800. 

It’s also worth noting that Speedtest measurements on the Starlink network averaged less than 18 per day in Buncombe County prior to the storm. As recovery began, however, tests on Starlink averaged over 260, continuing to climb to 457 on the last day shown in the graph above. This underscores the importance of understanding connectivity during emergencies while highlighting the urgency many citizens feel to confirm whether their services are returning to normal performance levels.

Stakeholders and Implementation

Improving mobile coverage requires teamwork between government and private sector entities. Several key players can leverage Ookla’s data to help areas become better prepared and measure recovery progress:

  • Federal level
    • FirstNet Authority oversees the operation of the national first responder wireless network. 
    • FEMA coordinates responses to disaster areas and deploys people, equipment, food, and water. 
    • The U.S. Department of Transportation provides funding to repair damaged roads and bridges.
  • State and local level: Emergency responders, transportation planners, and broadband offices identify critical routes and coverage needs within their jurisdictions.
  • Wireless Infrastructure Providers: Tower companies, fiber providers, and their engineering partners design and construct the vertical assets that support wireless network expansion and densification.
  • Mobile operators: Mobile operators drive projects to optimize network planning and infrastructure investments. They also provide the vital communication networks that support the public and every function listed above.

Working together, these stakeholders will be able to use BEAD non-deployment dollars, Rural 5G Funds, and Ookla’s data to efficiently target improvements where they’re needed most.

Data-Driven Solutions Before Emergencies Occur

Cell Analytics data can help tackle connectivity challenges that arise during emergencies by precisely mapping areas where operators provide inadequate service and identifying common locations where all carriers struggle to deliver reliable 911 and emergency service. Awareness of problem areas can help direct funding toward improvements and save lives.

For instance, the map below shows common evacuation routes and uses Cell Analytics to highlight specific locations with poor or no coverage from individual carriers, as well as areas where no major mobile operators offer service. These insights are invaluable for enhancing emergency communication networks and ensuring more reliable connectivity when it matters most. 

Once coverage gaps are identified, the next step is to make informed decisions about where to invest in improvements. Cell Analytics data offers a clear path forward, helping stakeholders make investments with precision. Results from Ookla’s controlled drive testing, meanwhile, can complement Cell Analytics data and validate critical routes while also measuring call quality and other QoS and QoE metrics. 

With billions of dollars available to target wireless coverage improvements, here’s how stakeholders can leverage Ookla’s data to make more informed decisions:

  • Mapping signal strength to reveal precise problem areas
  • Identifying optimal locations for new wireless infrastructure
  • Supporting investment decisions for underserved areas
  • Tracking changes to network availability and quality over time

Double Bottom Line Benefits

While public safety may be the justification for investing in improved wireless networks, the benefits can ripple throughout a community and result in a “double bottom line.” Most areas with poor cellular service lack investment because they aren’t economically viable, but that doesn’t mean these services aren’t desperately needed. 

The double bottom line approach shows how connectivity improvements create both social and economic value – from helping people stay safe during emergencies to supporting local business growth. Understanding these interconnected benefits helps stakeholders and policymakers make more informed decisions about mobile coverage investments.

Public Safety Enhancement

  • More effective evacuation coordination
  • Faster emergency responses
  • Better crisis communications

Narrowing the Digital Divide

  • Expanding internet access to school children and adult learning
  • Greater access to jobs and other resources
  • Helping state broadband offices invest effectively
  • Targeting coverage improvements where mobile-only users need it most 

Over 50% of ACP users chose mobile service before the program expired, highlighting the key role of mobile connectivity.

Economic Benefits

  • Revenue growth for network operators and infrastructure providers
  • New opportunities to attract and retain businesses
  • Stronger tourism industry with improved experiences
  • Better connectivity for remote workers
  • Higher home and land values
  • Enhanced precision agriculture

Looking Ahead

With multiple funding sources coming available, federal agencies as well as state and local governments can begin the process of improving connectivity now by using Ookla’s data to identify and address coverage gaps. Combining resources from the Rural 5G Fund, BEAD program non-deployment dollars, along with other programs such as USDA ReConnect could maximize the impact of investments. In this context, middle mile fiber planning could play a critical role in ensuring routes travel through wireless coverage gaps, ultimately reducing the cost of infrastructure deployment.

Beyond emergency preparedness, Ookla’s complementary datasets offer comprehensive insights for network planning and optimization, from the powerful coverage analysis tool Cell Analytics to controlled drive testing with Ookla to monitoring service outages with Downdetector

The convergence of available funding and precise coverage data creates an opportunity to enhance public safety, narrow the digital divide, and strengthen communities. By acting now, stakeholders can ensure critical communication networks are ready when emergencies arise. 

It’s also important to keep in mind that while this article focuses on the U.S., Ookla’s capabilities are equally valuable for addressing connectivity challenges in other countries. Regulators and operators worldwide can leverage Ookla’s data to enhance emergency communication networks and optimize mobile coverage. 

For even more on how Ookla’s data can help improve connectivity in emergencies, check out our article exploring the critical role of consistently strong connectivity in public safety. To learn more about using our data, just reach out to our team!

Ookla retains ownership of this article including all of the intellectual property rights, data, content graphs and analysis. This article may not be quoted, reproduced, distributed or published for any commercial purpose without prior consent. Members of the press and others using the findings in this article for non-commercial purposes are welcome to publicly share and link to report information with attribution to Ookla.

| March 19, 2024

Broadband Consumer Labels are Coming Soon, and Ookla’s Data Can Help ISPs Prepare

The internet has become a fundamental tool of daily life, serving as a key resource for consumers and businesses alike. As our reliance on connectivity continues to grow, it’s become critical for all internet users to have access to accurate and transparent information about their internet service providers (ISPs). This need for transparency has prompted the FCC to introduce its Broadband Consumer Label initiative, which will educate consumers with standardized, easy-to-understand information about the broadband services that ISPs across the United States are offering. 

Broadband Consumer Labels are similar in appearance to the nutrition labels affixed to nearly every product at the grocery store, with both types of labels providing consumers with key information–and transparency–about the products they’re buying. ISPs will soon be required to display their own version of “nutrition labels” at the point of sale, including in marketing materials and on provider websites. Broadband Consumer Labels, which must be machine-readable, are required to disclose several key service attributes, such as the typical download and upload speeds associated with a plan, the typical latency users can expect, as well as pricing and other information. Specifically, ISPs are required to display the following information on Broadband Consumer Labels: 

  • Plan name/tier
  • Monthly pricing information, including one-time charges, early termination fees, introductory discounts, and bundled services
  • Whether or not an ISP participates in the Affordable Connectivity Program (ACP), though this could change if the ACP program isn’t extended 
  • Performance metrics, including typical download and upload speed, as well as typical latency
  • Data cap information
  • Links to ISP policy information 
  • Customer support contact information
  • FCC reference ID (a unique identifier supplied by the FCC), as well as a link to the FCC’s consumer page

Providers with more than 100,000 subscribers are required to display Broadband Consumer Labels by April 10, 2024, while all other providers have until October 10, 2024. 

screenshot of navigating FCC broadband label requirements from webinar

For a more detailed breakdown of the risks, challenges, and importance of these labels, watch our webinar: Navigating FCC Broadband Label Requirements.

The benefit to consumers is clear: transparency

Broadband Consumer Labels will provide consumers with much-needed transparency into the level of service they can expect when choosing an ISP. By organizing performance and pricing details in a simple, repeatable format, users can be sure they’re getting what they pay for, and they can compare different providers and plans more easily. The benefits to providers, meanwhile, largely comes in the form of increased consumer trust, confidence, and ultimately, brand loyalty. The labels will also provide ISPs with a medium to promote their offerings to users across the country.

image of FCC broadband consumer label

Broadband Consumer Label risks & challenges

On the other hand, the introduction and continued maintenance of broadband labels marks a sea change for the telco industry at large. The more pricing tiers and technologies that exist across multiple markets, the more unique labels will need to be published. For example, one provider’s label in Seattle could be different from the same provider’s label in nearby Tacoma in terms of price, plan tiers, speeds, and more. It will be a behemoth effort for many ISPs to create and update labels, and internet providers will undoubtedly face challenges. Providers not only need to adhere to the FCC’s guidelines in relatively short order, but labels must also be updated every six months, as well any time an ISP modifies an existing plan or introduces a new one. 

Providers also face both regulatory and commercial risks with the new labels. Some of those risks and challenges include: 

Regulatory Risks:

  • Although the program begins in April, the rules are subject to change as the FCC is still requesting input from key stakeholders.
  • Latency is considered particularly important for people who use video conferencing, including those with disabilities.
  • The FCC has yet to define what “typical” means in the context of speeds and latency. 
  • Consumer advocacy groups believe many subscribers are not getting what they pay for.
  • Expect FCC enforcement mechanisms to be developed for situations in which the information displayed on labels doesn’t match with the real-world user experience. 

Commercial Risks

  • Competition will have broad visibility into performance claims for every plan a provider offers. 
  • Administrative overhead for ISPs driven by the number of price plans, markets, technologies, etc.
  • Existing subscriber misconceptions of service experienced compared to the actual service delivered.
  • Resellers must provide performance metrics even though they have limited control over quality of service (QoS) metrics.
  • Consumer advocacy groups and consumers pose a legal risk for providers if information on labels isn’t reflected in reality. 

How Ookla can help ISPs with the broadband label revolution 

With deadlines for providers right around the corner, it’s critical for ISPs to coordinate across IT, marketing, legal, and regulatory teams to determine the number of labels needed for various regions, price points, performance metrics, and more. Two label requirements that may prove particularly difficult for providers to manage are the typical speed and latency performance metrics in a given area. 

While the FCC hasn’t yet defined what “typical” means for performance metrics on broadband labels, providers could find it difficult to both determine and validate those metrics because the real-world speeds experienced by consumers often differ from a provider’s advertised speeds, and it can also be difficult to distinguish real-world performance between different technologies or tiers of service, such as fiber or cable. 

That’s where Ookla can help. Ookla receives over 11 million consumer-initiated Speedtests per day from all over the world, with over 50 billion total tests taken to date. Ookla’s detailed data and insights on speed, latency, and a host of other metrics can help Internet Service Providers substantiate typical speed or latency claims, ensuring their subscribers know what to expect and ultimately get what they pay for. 

Three Ookla solutions that should be particularly helpful in both the rollout and maintenance of broadband labels are Speedtest Embedded™, Speedtest Custom™, and the Ookla Enrichment API™. 

  • Speedtest Embedded allows Speedtest to be integrated as a testing solution on servers and desktops, as well as CPE devices. Ookla captures millions of these CPE tests every day on consumer gateways, Wi-Fi routers, and set-top boxes, providing ISPs with measurements directly from or very near to the service connection. 
  • Speedtest Custom provides users with accurate network performance testing backed by the same trusted testing engine as Speedtest, helping ISPs and their customers understand their connected experiences with performance metrics including download, upload, latency, and jitter.  
  • Ookla Enrichment API lets ISPs link a given test to a specific plan subscription, allowing providers to enrich test data with subscriber tiers/provisioned speeds, technology types, whether a test was conducted in a residential or commercial area, and more. Please reach out to learn more about the Ookla Enrichment API.

Conclusion 

As we navigate the quickly approaching deadlines of April and October 2024 for the implementation of Broadband Consumer Labels, the urgency for ISPs to adapt cannot be overstated. These labels should add a new level of transparency and trust within the telecommunications sector, offering consumers and businesses clear, standardized information about broadband services. 

However, the path to compliance won’t be easy. ISPs must navigate complex logistical and data management hurdles to produce and maintain these labels accurately. Each label must reflect specific service characteristics relevant to the geographic location it serves, which will require a granular level of detail and regular updates (every six months) to ensure accuracy. What’s more, regulatory uncertainties and the dynamic nature of broadband services can add layers of additional complexity to this endeavor. The FCC will likely offer some latitude on implementation during the first several months, but ISPs should prepare to contend with eventual enforcement of the rules. Perhaps more immediate is the potential for challenges from aggressive public interest groups and impassioned subscribers. 

Ookla is here to help! With an unmatched depth and breadth of connectivity data derived from millions of consumer-initiated Speedtests taken daily, Ookla’s solutions can help ISPs streamline the process of substantiating the claims made on these new broadband labels. With Speedtest Embedded, Speedtest Custom, and the Ookla Enrichment API, ISPs can access real-time insights into network performance, customer experience, and other critical metrics. 

These tools are instrumental in validating the typical speed and latency performance information required on broadband labels, ensuring that ISPs can meet FCC guidelines with confidence and precision. Contact us to learn more. 

Ookla retains ownership of this article including all of the intellectual property rights, data, content graphs and analysis. This article may not be quoted, reproduced, distributed or published for any commercial purpose without prior consent. Members of the press and others using the findings in this article for non-commercial purposes are welcome to publicly share and link to report information with attribution to Ookla.

| May 3, 2023

America’s Most Connected Cities

“Smart cities” are communities that use technology to improve the efficiency of their operations, such as using internet of things (IoT) devices to collect data on traffic patterns or smart meters to track energy consumption. Ahead of the Smart Cities Connect conference in Denver on May 16–18, we wanted to explore the role that connectivity plays for some of the smartest cities in the U.S. 

To enable city-wide technology initiatives, a stable connection to the internet is essential. Connectivity can lead to innovation, economic growth, and a better quality of life for residents through reduced traffic congestion and improved public safety. 

In this article, we take a look at network performance metrics based on the most recent quarter of Speedtest Intelligence® data for the 100 largest cities across the U.S (by population counts, according to Census Bureau data). 

Major U.S. cities with the best and worst fixed broadband speeds

While the FCC’s minimum fixed broadband speed benchmark is currently 25 Mbps for downloading and 3 Mbps for uploading, legislators have proposed increasing the minimum speeds to 100 Mbps down and 20 Mbps up. Looking at fixed broadband speeds, we found that the median download speed for the five lowest ranking cities hovers around the 100 Mbps mark, aside from Memphis, which came in at 49.01 Mbps. There’s a large disparity between the slowest cities and the fastest cities, with Frisco, Texas clocking in the fastest median download speed of 260.31 Mbps. Overall, cities are better connected than rural areas, but pockets of poor fixed connectivity can still exist and capacity issues can plague systems at peak usage times.

Map fo Best and Worst Major U.S. Cities for Fixed Broadband Speeds

Major U.S. cities with the best and worst mobile speeds 

Local governments aiming to bring high-speed connectivity to underserved communities will need to look to mobile connectivity. For truly remote areas, building a direct terrestrial connection will never be practical. In denser urban environments, low income households often rely completely on wireless for broadband as they cannot afford multiple services. 

Looking at mobile performance in U.S. cities, Saint Paul; Kansas City, Missouri; Scottsdale; Plano; and Columbus are leading the way in mobile connectivity with median download speeds across all mobile technologies ranging from 136.95 Mbps to 153.57 Mbps. On the other end of the spectrum, the bottom five cities (Lexington, Lubbock, Lincoln, Reno, and Laredo) have much lower speeds, coming in around the 50 Mbps mark.

Map fo Best and Worst Major U.S. Cities for Mobile Speeds

Major U.S. cities with the best and worst latency

Latency (measured in milliseconds) is a measure of how quickly a device gets a response after a request has been sent. Low latency means the server is responding quickly, whereas high latency means the server is responding slowly. When measuring latency, the lower the number, the better. Since smart cities collect and use data to streamline operations, a low latency is crucial for many scenarios, such as edge computing use cases for real-time traffic monitoring. 

Among our list of U.S. cities, Jersey City, Newark, Kansas City (MO), Irvine, and Plano had the lowest latency for fixed network technologies with a median multi-server latency under 15ms. Buffalo, Lexington, Laredo, Memphis, and El Paso had higher latency, closer to the 50ms mark. 

Map fo Best and Worst Major U.S. Cities for Fixed Latency

We saw that latency was higher across the board on mobile networks than it was on fixed broadband networks. Plano, New York, Baltimore, and Irving showed the lowest latency for mobile connections. Lexington, Albuquerque, El Paso, Anchorage, and Honolulu had the highest mobile latency, with median multi-server latency around the 100ms mark. 

Map fo Best and Worst Major U.S. Cities for Mobile Latency

Major U.S. cities with the best and worst 5G speeds and 5G Availability 

Smart cities will be significantly impacted by 5G, which delivers faster speeds, reduced latency, and more dependable connections. 5G networks are quickly overlaying the 4G footprint across the United States, and more federal funding is becoming available to improve 5G coverage. This will be an opportunity for lower-ranking cities like Lexington, Lubbock, Laredo, Lincoln, and Reno to improve the mobile network speeds in their cities. 

Top ranking cities Kansas City (MO), Minneapolis, Saint Paul, Chicago, and Omaha are already providing great 5G speeds, with median download speeds as fast as 224.57 Mbps in Kansas City. 

Map fo Best and Worst Major U.S. Cities for 5G Speeds

5G Availability shows what percent of users on 5G-capable devices spent the majority of their time on a 5G network connection. In some U.S. cities, (such as Oklahoma City, El Paso, Bakersfield, Norfolk, and Boise) users with 5G devices are connected to 5G most of the time. Most notably, Oklahoma City users were connected to 5G 72.50% of the time. On the low end, users in Albuquerque, Tulsa, Richmond, Raleigh, and Orlando were connected to 5G less than 50% of the time. 

Map fo Best and Worst Major U.S. Cities for 5G Availability

Network intelligence for smarter, more connected communities

Ookla’s enterprise solutions empower cities with comprehensive data on network performance, coverage, and availability. With Ookla data and insights, leaders can make informed policy decisions to close the digital divide. Federal, state, and local governments rely on Ookla for accurate network intelligence to enable modern connectivity in their smart communities.

Stop by the Ookla booth #208 at Smart Cities Connect in Denver on May 16–18 to find out where your city lands on these lists and how Ookla network insights can help you improve connectivity in your city. 

Ookla retains ownership of this article including all of the intellectual property rights, data, content graphs and analysis. This article may not be quoted, reproduced, distributed or published for any commercial purpose without prior consent. Members of the press and others using the findings in this article for non-commercial purposes are welcome to publicly share and link to report information with attribution to Ookla.

| April 10, 2023

Senators Move to Fix the Broadband Map: Here’s How You Can Submit Crowdsource Data

A lot of energy has been expended in the last several months to dispute the FCC National Broadband Map. The focus has been on two primary issues:

  • The first is a disagreement about the number of broadband service locations (BSLs) that exist in each state. Only residential buildings are eligible and many multi-dwelling units (MDUs) are considered a single location.
  • The second issue regards how many of those locations do not have access to broadband service. Those with throughput speeds less than 25 Mbps download and 3 Mbps upload are considered unserved. Locations served with speeds less than 100 down and 20 up are considered underserved.

These counts are important because the number of total locations and unserved locations in each state will define how much funding each state receives of the over $42 billion available through the Broadband, Equity, Access and Deployment Program (BEAD).

The Infrastructure Investment and Jobs Act (IIJA) that established this program was bipartisan, and so is the concern over the current state of the map. The deadline to challenge the accuracy of these location counts passed in January, but many state broadband offices and the legislators that represent them have made it clear they were unhappy with the process. Some of them felt that there was simply not enough time to analyze the data after gaining access to it.

New legislation proposed to “fix” the map

The demand to fix the map became increasingly serious on Friday, March 31, 2023, as Senators Jacky Rosen (D-NV) and John Thune (R-SD) introduced the “Accurate Map for Broadband Investment Act.” Calling the current map “deeply flawed,” the bill aims to provide additional time to challenge the number of BSLs as well as which ones are considered unserved or underserved.

Everyone expects the FCC map to forever be a work in progress as communities grow and networks expand. It has already improved from its first release and it will continue to get better. As we approach a moment in time that will divide up a finite funding pool, accuracy on the metrics has real monetary consequences. Once allocations are made, it will be up to NTIA to work with each state to fund broadband infrastructure projects and connect communities. However, the dollars each state has to work with won’t change.

The newly proposed legislation would add seven more months to the challenge process for states and other interested parties to dispute the map’s accuracy. To ensure that broadband projects aren’t brought to a complete halt, 20% of the funding would be made available on the original timetable, delaying assignment to states of the remaining funds while more scrutiny is applied to the underlying data.

Multiple bites at the apple

There are two agencies, not just one, that will impact which communities get broadband infrastructure assistance and how soon they get it. Up until now, providing input to the FCC for corrections to the map has been the primary focus. But NTIA will be responsible for working with each state broadband office to identify areas of need and approve project awards. These plans will certainly evolve as new evidence is presented.

During the first phase of their mapping effort, the only significant challenges to the map the FCC accepted were for the number of broadband service locations and individual reports of availability not matching those reported by ISPs. There were certainly some individual challenges submitted, but many states were frustrated at the lack of public awareness and participation. Through NTIA, state offices were always going to get a second bite at the apple as far as getting funding to the right communities. Depending upon the outcome of the Rosen/Thune legislation, states may get an extra bite from the FCC apple as well.

Confusion over crowdsource data

The Commission defined a process for crowdsource data to be presented as evidence to support that reported service availability and performance was less than claimed. However, many filers have found this process unclear or difficult, notably in regard to the requirement that all submissions include Broadband Serviceable Location (BSL) identification numbers. To make this process even more difficult, the only file types accepted as additional evidence were formats that lacked geospatial awareness. In other words, they could not easily be imported into a mapping system.

As of late February, the FCC now accepts JSON files in addition to those formats already approved (PDF, DOC, DOCX, JPG and PNG). This new format can include columns for longitude and latitude, making it easier to include crowdsource data evidence, and has the added benefit of making analysis by the FCC significantly more efficient.

Multipurpose research

Crowdsource data evidence has multiple target audiences. The very same evidence developed to submit to the FCC can be used to work with NTIA during the next phase. NTIA is very familiar with how crowdsource data is employed to define “indicators of need,” and used data from Ookla®, M-Lab, and Microsoft extensively to build their National Broadband Availability Map a couple of years ago.

These federal agencies have been the primary concern, but local interests will become very vocal as projects are chosen. Which communities receive grants and in what priority may be vigorously debated. ISPs that compete for expansion areas will need to prove a track record, and the states will need independent evidence on how well they are serving their existing customers. And those providers that stretched the truth on the level of service they actually provide will fight being overbuilt. States should be preparing for local challenges to their own decisions.

Crowdsource data provides the largest pool of evidence to understand the quality of service being delivered to a community. Hundreds of millions of tests across the country means that even less populated states have hundreds of thousands of points to analyze and better understand the availability and performance of each serving network.

How to support your claim with crowdsource data

Crowdsource data from Ookla Speedtest® measurements can easily be overlaid with FCC maps to produce the needed evidence that indicates where services don’t meet minimum broadband standards. Through crowdsource data submissions, broadband offices can dispute existing maps, advocate for federal funding eligibility, and assist federal officials in their mission to improve broadband availability and performance.

Below are some helpful tips for submitting crowdsource data for disputed areas in a format that can meet FCC requirements.

Step 1: Identify Broadband Serviceable Locations (BSLs)

As an example, we are going to focus on an area near Durango, Colorado — a mountainous area that is both difficult and expensive to cover. We start by looking at all of the BSLs represented in the FCC’s map within the area of interest for early 2023.

Map of Broadband Service Locations (BSLs) in Durango, Colorado

Step 2: Overlay FCC hexagon system with BSLs

Next, we overlay the BSLs with hexagons where the FCC defines broadband service as being available. The darker the hexagon, the more ISPs claiming to provide service in that area.

Map of Hexagons of Broadband Service Availability in Durango, Colorado

Step 3: Layer Speedtest data with FCC hexagon system and BSLs 

By layering Speedtest data from fixed terrestrial operators on top of the hexagons, we can see that Durango and Durango West have high test densities. There are many households packed closely together, making those areas more viable to justify the cost of building high-speed services to them from a purely economic standpoint. Location accuracy for most tests is under 100 meters, so tests will grid into bins measuring approximately 1002 meters (this varies based upon latitude). If there are multiple tests within each bin, they will stack, and we are showing the fastest recorded speed on the top in this view. Speedtest measurements shown are for the four quarters (Q1-Q4, 2022) immediately previous to the published FCC data.

Map of Speedtest Data Layered with FCC Data in Durango, Colorado

Step 4: Create clusters to see Speedtest data at scale within the FCC hexagon system

To get an idea of the actual volume of Speedtest data we’re looking at, we created a clustered version demonstrating where the number of tests are much greater. Some hexagons have 100+ tests, and a few hexagons have no tests, usually because there are fewer households.

Map of Clusters of Speedtest Data in Durango, Colorado

Step 5: View Speedtest performance within the FCC hexagon system

Using that methodology, we can show how the aggregated test results appear within the hexagons defined by the FCC. The red hexagons (levels 8 and 9) demonstrate where the median speed is not meeting FCC minimum standards for broadband. This helps you get an idea of the overall experiences people are having, as well as the maximum speeds experienced in an area referencing the stacked tests previously shown.

Map of Median Speed for Test in FCC-defined Hexagons in Durango, Colorado

Step 6: Create a polygon of Speedtest data with BSLs 

Next, create a polygon that surrounds the community or specific area of interest. Many ISPs have created polygons to capture all of the BSLs that fall within their territories for their service area and technology submissions. In our discussions with the FCC, staffers have suggested following a similar approach for crowdsource submissions.

Map of Polygon of Underserved BSLs in Durango, Colorado

Step 7: Export the polygon of BSLs as a CSV file

Next, export a CSV file of the locations that are within the polygon, including the Location ID, as directed in the instructions defined by the Broadband Data Task Force (BDTF). The entire FCC submission process has been built around identifying these location IDs for each BSL.

Map of Polygon of BSLs in Durango, Colorado

Step 8: Export the polygon of Speedtest data as a JSON file

Using the same polygon, select and export the Speedtest results as a JSON file, including speed and latency measurements, ISP names, timestamps, anonymized user ID, and source test ID.

Map of Polygon of Speedtest Data in Durango, Colorado

Step 9: Submit the files to the FCC 

Submit the CSV file as well as the JSON file as additional evidence to the FCC along with any other documents supporting your dispute of the service availability, using one of the accepted file formats. This may include maps defining the area being disputed, documents from residents claiming inadequate or no service, and any other pertinent information.

Step 10: Be prepared to use the evidence to partner with NTIA

The FCC maps will ultimately define how many dollars go to NTIA to determine state funding. NTIA is preparing to use the same map fabric and BSL data as that used by the FCC. This will allow collaboration with all the above parties and will assist with reconciling the differences between the federal stakeholders. You can utilize this same data as you work with NTIA to demonstrate where you would like to focus funding as well as resolving local disputes on broadband availability.

Want to learn more? Watch our recent webinar

We hosted a webinar on March 30, 2023 titled “Using Crowdsource Broadband Data to Dispute FCC Maps”. In this webinar, a panel of experts came together to discuss common challenges in the mapping process and successful broadband mapping projects. Panelists included Jamie Hoffman, Program Manager at the West Virginia Department of Economic Development, Patrick Ryan, Senior Solution Engineer, Telecommunications at Esri, Tom Reid, President at Reid Consulting Group and me, Bryan Darr, VP of Government Affairs at Ookla.

You can watch the recording of the recent webinar here.

Ookla retains ownership of this article including all of the intellectual property rights, data, content graphs and analysis. This article may not be quoted, reproduced, distributed or published for any commercial purpose without prior consent. Members of the press and others using the findings in this article for non-commercial purposes are welcome to publicly share and link to report information with attribution to Ookla.

| May 17, 2022

Federal Broadband Funding is Available for Local Governments — It’s Time to Get in Line

Local governments, the clock is ticking. The Infrastructure Investment and Jobs Act (IIJA) set billions of dollars out on the infrastructure buffet table for local governments in the United States and there are more guests invited to the party than ever before. This funding is almost certainly a once-in-a-lifetime opportunity to connect your community and provide access for all to the digital economy. The question is: will you be at the front or the back of the line?

Ookla® can help you. This article is designed to give you the information you need to get started on the path toward getting the funding you need for your communities.

Look to your state for funding

Historically, broadband funding has had a very top-down approach. The FCC has held almost all the power to determine where federal broadband infrastructure dollars have been spent. But for the first time, state governments will have an active role in guiding these decisions.

The Infrastructure Investment and Jobs Act (IIJA) directs $65 billion to improving broadband connectivity across the US, with $42.45 billion earmarked for building new infrastructure. Once the initial FCC map has been released, each state that has declared their intent to participate through NTIA will be provided a minimum $100 million to get the process started (U.S. territories will split an additional $100 million). Much of the remaining $22 billion will target affordability, but more on that later. The race for resources will be officially off and running.

Following this initial disbursement, there will be roughly $37 billion more to be awarded from the IIJA alone. Many states are still sitting on billions of dollars from the American Rescue Plan Acts (ARPA) and broadband is an allowable expenditure for these remaining stimulus dollars. Add to that the long running connectivity programs such as CAF, RDOF, Mobility Fund, and the upcoming Rural 5G Fund, and all those programs combined approach $100 billion over the next decade.

Plan ahead to increase your competitiveness

Past programs have provided funding without setting proper expectations on results. More emphasis is now being placed on planning. With a focus on estimated cost per service address, network design takes a front seat to ensure these resources are spent efficiently and state officials will be allowed to use up to five percent of this for mapping, designing, and cost estimation. 

Most states are already planning, or already building, their own broadband availability maps. But if you have connectivity issues in your community, it’s time to make it known to those who will be responsible for directing funds and deciding which communities will see investment and which will not.

Ookla helped Loudoun County, Virginia secure $17 million

We have experience helping local governments navigate this challenging planning process. When FCC Form 477 broadband availability data showed that nearly 100% of Loudoun residents have access to what the FCC defines as broadband (25 Mbps download, 3 Mbps upload), this was inconsistent with the connectivity experiences of county residents. So the Loudoun Broadband Alliance (LBA) chose to use Ookla Speedtest Intelligence® to create an accurate and reliable broadband access mapping methodology using real-world network performance data. With this data, LBA identified a large number of unserved households in contrast to FCC data which showed them as served. Loudoun County was subsequently awarded over $17 million of funding to help eliminate the broadband gap.

Keep in mind that the maps will never be finished. They will change and evolve as the networks in your area grow. Funded projects will need to be monitored for compliance and older networks will need to be watched for signs of deterioration. Everyone will need to keep an eye on progress, measure successes, and have the data to act early when projects go off track.

Acadiana, Louisiana used Speedtest data to win $30 million

With Speedtest data, the Acadiana Planning Commission (APC) was able to successfully challenge FCC maps on over 900 out of approximately 1,000 census blocks. The APC applied for funding through the NTIA Broadband Infrastructure Program, which made $288 million in funding available to help close the digital divide in the U.S.. There were over 230 applicants, and only 13 grants were awarded. Vice President Kamala Harris visited Acadiana in March to announce that the APC had been awarded a $30 million grant that will fund high-speed internet in 11 rural Acadiana communities.

Think big! Broadband funding is available for more than just infrastructure

Accessibility to broadband requires at least four components: infrastructure, affordability, equipment, and knowledge. The lack of any one of these means an individual does not have access to today’s digital economy. Much of the focus has been on the lack of infrastructure in many rural communities, but infrastructure is the absolutely essential piece for anyone in any community to get connected. The second component, affordability, often drives the last two requirements as people who cannot afford internet service often cannot afford the necessary equipment and, therefore, are less likely to have developed the knowledge to use it. Tracking both of these two primary elements is key to understanding the digital divide.

You might qualify for funding in more than one of these four areas. For example, over $14 billion in a new Affordable Connectivity Program is included in the broadband portion of the IIJA. Remaining funds include $2.75 billion for the Digital Equity Grant Program and the $2 billion Tribal Broadband Connectivity Program, as well as two more programs that will assist the USDA improve the internet in agricultural communities.

Agencies and local governments should work together

Cities should be coordinating with counties and other government entities within the same region — but someone needs to be in charge. If your local government does not have an individual charged with coordinating all these efforts, there is bound to be duplication of efforts, wasted resources, stagnation of ideas, or all of the above. Whether this person reports directly to the CTO, CIO, Mayor, or City Manager, their purpose is to understand what all departments are doing in the space and coordinate discussions, grant opportunities, and overlapping initiatives to make sure that departments aren’t working at cross purposes. Non-profits, community activists, and local corporations all have a stake in the success of these efforts. Traffic problems won’t suddenly end at the municipal boundary. Improving traffic on one side of the line may create more problems on the other side. Working together with your neighbors is just as important as working with internal departments. The same can be said of both fixed and wireless broadband infrastructure.

Dig-once projects will score extra points in the competition to have projects selected. Broadband is only part of the $1.2 billion infrastructure law. Roads, bridges, ports, and rail have billions of dedicated dollars as well. Digging a new trench for a clean water system? Coordinate with the project to include conduit and fiber and your efficient use of taxpayer funds will likely be rewarded.

Consider funding for multiple technologies 

As great as it might be to provide every service address in the country with a fiber connection, it may not make economic sense in some places. But an important detail was clearly stated in the legislation that recognizes a technology neutral stance on solutions. The rules are not yet complete on how the FCC and NTIA will award the IIJA funds and contend with challenges to their findings, but there are certainly far fewer restrictions on the ARPA funds that are already disbursed to the states. Many connectivity projects are already underway whether through infrastructure development, equipment distribution, or subsidies for affordable service.

Wireless services can get people connected much faster and there are several forms. Traditional mobile operators are rolling out 5G and Fixed Wireless Access (FWA) in some areas that can directly compete with traditional fixed services. Wireless Internet Service Providers (WISPs) have launched coverage to homes and businesses that previously had satellite as their only option. Some municipalities and school systems have launched private 4G LTE networks to connect underserved areas in their communities. And municipal Wi-Fi can still be an important part of an overall solution.

A portion of families may never find subscribing to a fixed network practical, but wireless services allow for easier movement and some don’t even require a residence. Understanding wireless network availability and performance across your jurisdiction is just as important as planning a fiber network. And here’s a bonus — cellular and other transmission sites need fiber for any new 5G cell site. So if you know where your wireless networks need additional infrastructure, you can plan for places in the network to offer them accessible fiber connections.

If your state still has ARPA funds available, you still have an opportunity to make improvements and learn more about connectivity issues so you are better able to make your case for the IIJA funds as they begin to flow.

Ookla can provide you with the data you need to be competitive for federal funding

It has been said for years that broadband is the fourth utility. Local governments have spent a lot of their resources managing the first three: water, gas, and electricity. If any of those become unavailable, even for a brief period of time, their citizens will make their unhappiness known. Resiliency of these services will play a part in how elected officials are judged, whether the local government supplies these services or just manages an external provider.

If you serve in local government, you should anticipate the same expectations going forward for broadband in your community. The internet has become vital to the way we live our lives, and access to it dictates much of our success both as residents and businesses. Recognizing connectivity as a critical service may have been a consequence of a pandemic, but that change in thinking is here to stay.

That’s why Ookla is here to help you learn more about the connectivity in your area. We’ve already helped local governments secure tens of millions of dollars in federal funding in Loudoun County, Virginia and Acadiana, Louisiana. We are also working with state broadband offices as well as municipalities to help them gain visibility into network availability and performance. If you want your community to take advantage of the billions pouring into improving connectivity, get in line before it’s too late. 

Drawn from billions of Speedtest® results, Ookla’s Broadband Performance Dataset provides governments, regulators, ISPs, and mobile operators with insights about the state of fixed networks and broadband accessibility. The Broadband Performance Dataset helps you identify unserved and underserved areas, prioritize investment opportunities to improve access to broadband, challenge funding decisions, and secure grants. 

To learn more about the Broadband Performance Dataset, Speedtest Intelligence, and other solutions for your state and/or local governments, please contact us.

Ookla retains ownership of this article including all of the intellectual property rights, data, content graphs and analysis. This article may not be quoted, reproduced, distributed or published for any commercial purpose without prior consent. Members of the press and others using the findings in this article for non-commercial purposes are welcome to publicly share and link to report information with attribution to Ookla.

| September 22, 2021

The Infrastructure Investment and Jobs Act Could Improve Internet Access for Those Who Need it Most


Investment in broadband infrastructure in the United States is long overdue. The past two years have revealed how critical the internet is to daily life for everyone, and yet far too many people don’t have adequate speeds and service, even in wealthier areas like Loudoun County, Virginia, near Washington, D.C. The bipartisan omnibus infrastructure bill is a once-in-a-generation opportunity to address the digital inequities plaguing our country by connecting millions of Americans with critical services that many of us take for granted.

Ookla strongly supports the passage of the Infrastructure Investment and Jobs Act. As we all look on to see if this bill will successfully pass the United States House of Representatives, we’ve taken a close look at what the bill could mean for internet connectivity in the U.S. and why this bill is essential to bridging the digital divide.

17% of counties do not have access to “adequate” internet speeds

Data from Speedtest Intelligence® shows that 17% of counties with sufficient samples didn’t meet the minimum median speeds for the current FCC definition of broadband (25 Mbps download / 3 Mbps upload) in Q2 2021.

Worse, if you’ve ever tried to have a video call while someone was doing anything else online, you know that a download speed of 25 Mbps will likely result in massive lags for at least one of those users, if you can stay connected at all. That’s why the Senate bill will incentivize network expansion funding for networks offering speeds of 100 Mbps download and 20 Mbps upload or more. While these speeds are a far better benchmark for our modern and evolving lives, 92% of counties with sufficient samples did not meet this new proposed threshold in Q2 2021.

ookla_fcc_minimum_speeds_Counties_0921

The maps above show which counties do meet the current and proposed FCC minimums. While more than 80% of U.S. counties met the FCC’s current broadband minimum in Q2 2021, the counties that don’t are in the places that are already deeply economically disadvantaged — rural areas including Appalachia and the deep South.

The map for proposed speeds shows the less than 10% of counties that met the proposed 100 Mbps download / 20 Mbps upload speed in Q2 2021 were largely in urban areas. We saw other urban counties with high download speeds and some Midwest counties with high upload speeds stand out as having met half the requirement, but those places will need more investment to reach the proposed standard.

Of course, determining where best to direct broadband investment requires a much more granular approach, but examining data aggregated by county is a great way to compare connectivity across the entire country. Some counties shown as having adequate service will have pockets needing investment. For the purpose of this high-level view, should an entire county average throughput speeds below federal broadband definitions, it is assuredly in need of assistance.

What the Infrastructure Investment and Jobs Act does for broadband infrastructure and working to end digital disparity

Our careful review of the Infrastructure Investment and Jobs Act shows the provisions that could specifically put the U.S. on the path to being a global leader in internet connectivity:

  • Increase deployment. The bill currently allocates $42.45 billion for deploying improved internet infrastructure. Each state will receive a minimum of $100 million and U.S. territories split another $100 million. Up to 5% of funds may be used for planning and mapping. This would allow state and local governments to look closely at what areas are unserved or underserved by broadband in their jurisdictions and actually build the infrastructure to connect them.
  • Expand the Emergency Broadband Benefit (EBB). This program, originally funded at $6 billion, currently provides subsidies to low-income households to directly pay for broadband. The bill would devote $14.2 billion to funding $30/month subsidies for those who qualify. The program would be renamed the “Affordable Connectivity Program” and increases in funding would be allowed over time. This would continue to connect some of the most economically vulnerable families to the internet.
  • Fund the Digital Equity Grant Act. $2.75 billion is included to pay for the "State Digital Equity Capacity Grant" and the "Digital Equity Competitive Grant" programs which finance state and nonprofit programs to increase connectivity and improve digital equity.
  • Redefine broadband levels. The bill would formally recategorize “Unserved” locations as those having access to internet slower than 25 Mbps download / 3 Mbps upload. Locations where 80% of people or more lack access to 100 Mbps download / 20 Mbps upload would be labeled “Underserved.” This is critical in acknowledging the level at which most people in the U.S. need access to the internet today.
  • Increase funding to the Tribal Broadband Connectivity Fund. An additional $2 billion would go to building broadband infrastructure to and across tribal lands.
  • Increase funding to the Rural Utilities Service. This program to serve rural communities would receive an additional $2 billion for the Distance Learning, Telemedicine and Broadband Program.
  • Subsidize the Middle Mile Infrastructure Deployment Plan. The bill provides $1 billion for this vital infrastructure that connects individual internet users with the backbone of the internet. At a cost of tens of thousands of dollars per mile, this may not go far enough, but it is a start.
  • Finance Private Activity Bonds. $600 million is written into the bill to back private financing of broadband efforts.
  • Expand the definition of “anchor institutions.” Places like schools, libraries and healthcare facilities have long been considered locations people could go to in order to access broadband when they don’t have access at home. This bill expands that list to include: public safety entities, institution of higher education, public housing and community support organizations. This expanded list of anchor institutions increases the number of places community members can access broadband and the institutions are eligible for funding to provide that broadband.

Failing to invest in broadband infrastructure is failing the future of the U.S. economy

The COVID-19 pandemic revealed how critical adequate internet access is in a modern society as everything from routine medical visits to everyday education and millions of jobs went online. Some of that may shift back to in-person, but we can not and should not forget the disparities in internet access that were revealed during this time. The U.S. often holds itself out as an example for the world and the past year and a half have shown woeful cracks in broadband equity.

If the U.S. House of Representatives fails to pass this bill, they are abandoning millions of Americans to a future of falling behind. Poorly connected towns will fail because businesses that need broadband will go elsewhere. Poorly connected students will fall farther behind their classmates that have quality internet. Poorly connected workers will miss out on high-paying jobs. And poorly connected patients will put additional strain on our healthcare system without telehealth access. From connecting with teachers and co-workers in a video chat to streaming entertainment, access to adequate broadband makes participation in modern life possible.

The U.S. Congress must pass this bill. Whether you believe it is a moral imperative to address the digital inequities in our country as well as throw a lifeline to rural communities, or you simply view this as a strategic opportunity to maintain our position as a global leader, the time to act is now.

Ookla retains ownership of this article including all of the intellectual property rights, data, content graphs and analysis. This article may not be quoted, reproduced, distributed or published for any commercial purpose without prior consent. Members of the press and others using the findings in this article for non-commercial purposes are welcome to publicly share and link to report information with attribution to Ookla.

| September 16, 2021

How to Challenge the FCC’s Mobile Service Funding Eligibility Decisions [Webinar]


As part of the initiative to bring advanced wireless services to unserved areas in rural America, the Federal Communications Commission (FCC) is in charge of allocating billions of dollars in funding to mobile network operators. Funding eligibility is based on broadband availability data submitted by mobile operators and aggregated into coverage maps by the FCC. FCC coverage maps often overstate the availability of networks in some areas because operators show their footprint expanding to locations where they have minimal coverage. The FCC has introduced a new Mobile Service Challenge Process to help address this issue.

Register for our September 30 webinar to learn more about the Mobile Service Challenge Process and how to challenge FCC coverage maps with crowdsourced coverage information.


What is the Mobile Service Challenge Process?

The FCC’s Mobility Fund Phase II would have allocated up to $4.53 billion for mobile operators to bring 4G LTE to rural America. Unfortunately, the program was suspended in 2019 due to a finding that coverage data submitted by three providers likely overstated actual coverage in many instances.

In 2020, the The Broadband DATA Act was signed into law and required the FCC to improve the way broadband data is collected, verified and reported. In response to The Broadband DATA Act, the FCC recently released a Public Notice that proposes procedures for testing the accuracy of carrier coverage maps and outlines a Mobile Service Challenge Process.

The Mobile Service Challenge Process will allow operators to challenge FCC broadband data using crowdsourced network performance tests that show an “on-the-ground” truth that differs from the FCC coverage map. Challenging parties are required to present a sufficient number of tests within a hexagon to illustrate gaps in carrier coverage.

Using Ookla® data to contest FCC funding decisions

This article will explore how Ookla data and targeted field testing can be used to contest coverage data that determines funding eligibility. Register for our September 30 webinar to learn more about navigating the FCC’s Mobile Service Challenge Process.

Determine where on-the-ground truth differs from FCC data

A comparison of Ookla Cell Analytics™ data with FCC coverage data shows where there are discrepancies and underserved areas. Operator-provided coverage data is shown in the FCC’s Mobile LTE Coverage Map below. Looking at State Highway 119 near the popular Golden Gate Canyon recreation area in north central Colorado as an example, we can see that AT&T and Verizon both claim to have 4G LTE coverage on the majority of the highway.

fcc_hwy119_lte_map_0921

However, the crowdsourced measurement data in Cell Analytics shows poor signal quality along State Highway 119. In the image below, you can see that both AT&T and Verizon have significant areas with no service along the highway. This indicates that the on-the-ground truth may be different from the FCC coverage maps.

ookla_cell-analytics_hwy119_lte_map_0921

Perform targeted walk or drive tests within an underserved area

Once you’ve determined that State Highway 119 is likely an unserved area, you can use Ookla Wind™, a handset-based testing solution, to perform a targeted data collection campaign within the hexagon to confirm network availability, signal strength, throughput and other KPIs. The images below show drive tests performed on the AT&T and Verizon networks along Highway 119. The results show that the signal strength is very weak (shown in red) along most of the route. You can use this data to fill out the FCC challenge process. Once the area has officially been determined as eligible for funding, you can bid for funding allocation.

ookla_wind_hwy119_lte_map_0921

ookla_wind_hwy119_vzw_lte_map_0921

Validate your improved coverage and throughput

After you’ve received FCC funding to build out new infrastructure in a rural area, you’ll need to prove that you’ve used those funds properly. Cell Analytics can also be used to validate KPIs like improved coverage and faster throughput on your network within that area. The ability to show the outcome of these enhancements could help you secure more funding in the future.

Cell Analytics and Wind will equip you with the real-world network performance data that you need to challenge FCC eligibility decisions and influence funding allocation. To learn more about navigating the Mobile Service Challenge Process, tune into the webinar on Thursday, September 30 at 7 a.m. Pacific (10 a.m. Eastern). A recording will be provided for registrants who can’t make the live presentation. Register now.

Ookla retains ownership of this article including all of the intellectual property rights, data, content graphs and analysis. This article may not be quoted, reproduced, distributed or published for any commercial purpose without prior consent. Members of the press and others using the findings in this article for non-commercial purposes are welcome to publicly share and link to report information with attribution to Ookla.

| June 10, 2021

How to Make Data-Driven Broadband Funding Decisions [Webinar]

Billions of dollars in federal funding are being dispersed this summer as part of the United States government’s mission to expand broadband across America. State and local policymakers are currently tasked with ensuring that funding goes to broadband investments that will connect constituents to the speeds they need. This article highlights two instances where Ookla® data is uniquely positioned to help federal, state and local governments understand where constituents don’t have access to high-speed internet.

Register for our June 23 webinar to learn more about how accurate, up-to-date information about internet performance and accessibility can help you prioritize funding decisions and bridge the digital divide in your jurisdiction.





Addressing the digital divide in network access

This past year has made it increasingly clear that broadband is essential in our daily lives — students have needed high-speed internet to connect to the classroom, employees have needed to be able to connect to work remotely and sick people have needed access to broadband to use telehealth services. At the same time, broadband issues in both rural and urban communities have made the digital divide increasingly obvious. For those below or near the poverty line, a lack of equipment to get connected and a lack of financial resources acts as a barrier. In many areas there is a lack of adequate connectivity, impacting everyone, regardless of their economic circumstance.

Less populated, more rural areas of the U.S. tend to have less access to high-speed internet. Take Colorado, for example, where much of the greater Colorado Springs area has broadband speeds of 300+ Mbps. Yet many underserved areas exist in the more rural areas of Colorado. These underserved areas are clearly demonstrated by the red dots on the below map of Speedtest® measurements for all fixed operators via Android and iOS devices. This data reveals that many of the rural communities in Colorado don’t have access to the FCC minimum download speeds of 25 Mbps. By looking only at tests taken on devices that provide GPS location information, we can see the precise geographic boundaries of the digital divide, illustrated with real-world network performance data.

speedtest_consumer_initiated_fixed_performance_so_colorado_0621

Connectivity problems exist in urban communities as well. The map below shows Cell Analytics™ data for Atlanta, Georgia. The red circles are locations of schools, the green circles are locations of libraries and the color gradient on the map indicates the signal strength in those locations. As you can see, many of the schools and libraries in Atlanta only have access to medium or weak signal strength, depending upon the carrier they have chosen. Within some neighborhoods, coverage quality is poor across all operators, leaving residents with no good option. Residents in urban communities under economic stress often depend on their phone to connect to the internet. This is especially true for students who rely on hotspots and tablets to connect to the classroom. Higher quality wireless service is critical when it comes to closing the homework gap in urban communities such as Atlanta.

cell_analytics_wirelss_signal_strength_atlanta_0621

The federal government aims to make big strides towards closing the gap in both rural and urban communities across the nation with the billions of dollars in broadband funding allocated in the American Rescue Plan (ARP) Act. While this new funding is welcome, it creates a question for policymakers around how to best use the budget to solve for digital equity. Decision makers often lack the data that they need to make smart infrastructure investments that will provide broadband access to the greatest number of people.

Using Ookla data for smarter spending

The webinar will show how policymakers can use Speedtest datasets to determine specific locations where constituents can’t access adequate broadband. Learn how we can help you allocate resources to areas that show a clear need for investment in broadband infrastructure.

Speedtest Intelligence® data can help answer questions like:

  • How is performance in a geographic area or for an internet service provider (ISP) trending over time?
  • How widespread are any changes (e.g., network improvements) impacting typical network performance in a given area?
  • Are minimum thresholds needed for remote work, education and telehealth being met in a given area?
  • How commonly does an ISP deliver a minimum level of service?
  • How does an ISP’s real-world network performance compare to their self-reported speeds and service levels?

To learn how to turn this data into actionable broadband policy, tune into the webinar on Wednesday, June 23 at 9 a.m. Pacific (12 p.m. Eastern). A recording will be provided for registrants who can’t make the live presentation.






Ookla retains ownership of this article including all of the intellectual property rights, data, content graphs and analysis. This article may not be quoted, reproduced, distributed or published for any commercial purpose without prior consent. Members of the press and others using the findings in this article for non-commercial purposes are welcome to publicly share and link to report information with attribution to Ookla.

| November 10, 2020

Make Better Funding Decisions with Accurate Broadband Network Data: A Guide for Federal, State and Local Governments [White Paper]

State and federal officials are charged with spending billions of dollars in funding to improve broadband availability, particularly in rural areas. While many yearly budgets had already earmarked money for broadband development projects before COVID-19, the pandemic has highlighted deep digital divides at a time when the public is more reliant than ever on the internet for work, education and other essential services.

Federal, state and local governments need accurate data on broadband availability and network performance to correctly allocate this funding to serve the most constituents. This data drives budget and spending decisions — and historically, a significant portion of these funds have been misdirected by relying on bad data.

In this new Ookla® white paper, we share a case study where misleading data from Measurement Lab (M-Lab) led a U.S. Congressional office to an incomplete picture of broadband performance in Upstate New York. The white paper also includes a guide to the key considerations a savvy policymaker should take when evaluating network data on which to base funding decisions.




Using broadband network data to understand — and close — the digital divide

The shift to working and learning from home has underscored the need for high-speed connectivity across the entire country. Many households are trying to do much more with their internet connections than they ever have before. As more family members in a household use an internet connection for teleconferencing or distance learning, their need for internet speeds will go beyond the FCC minimum guidelines of what constitutes a broadband connection: 25 Mbps download speed and 3 Mbps upload speed.

In the U.S., legislators whose districts include rural areas have long been aware of the “digital divide” created by a lack of broadband access — and the economic and educational opportunities rural communities miss out on because of this divide. While urban dwellers usually have access to high-speed connections at or near their home addresses, sometimes broadband service can be cost prohibitive. Their rural counterparts are faced with the additional challenge of a lack of connectivity in their area. To commercial internet service providers (ISPs), there is a tipping point where population density is too low to make investments in high-speed internet infrastructure profitable.

Broadband funding efforts are often focused on closing this digital divide by targeting the most under-served communities for investment and development.

The dangers of using bad data to prioritize broadband funding

The white paper explores a case study where inaccurate network performance data created an incomplete picture of broadband access in Upstate New York. In August 2020, the office of Congressman Anthony Brindisi, New York, District 22, U.S. House of Representatives, released a report highlighting the lack of broadband service across the district. New York’s District 22 (NY-22) is large, and the people of the district are somewhat evenly distributed between city and country life, with 57.5% living in urban areas and 42.5% (roughly four out of ten people) living in rural areas. Like so many rural regions of the U.S., broadband has not yet reached all constituents in NY-22.

The report provided valuable insights gleaned from constituents’ direct feedback on their connectivity, and the congressman’s office made excellent recommendations on how the district should approach improving broadband access. However, our concern with the rest of the report is that it was based on network performance test results that painted an inaccurate picture of what many constituents were actually experiencing in the district. The presented results greatly underestimated the speeds being delivered by internet service providers (ISPs) throughout most of the study area while overestimating speeds in some others. The speeds included in the report used network performance information exclusively from tests taken with M-Lab.

The speeds measured by Speedtest® for the same areas during the same time period are dramatically higher in most areas, which indicates that some constituents can already achieve network speeds that meet FCC minimums — meaning that additional infrastructure investments are unnecessary. By relying on numbers that inaccurately indicate lower speeds than reality, the congressman’s office runs the danger of targeting certain areas for funding that already have adequate broadband service. Resources are limited, and these funds should be allocated to areas that lack the connectivity needed to meet the FCC’s minimum of 25 Mbps download speed and 3 Mbps upload speed.

The table below shows comparisons of the median download and upload throughputs for the twenty ZIP codes specified in the report as having the “worst” speeds within NY-22. Looking at Ookla and M-Lab data side by side, you can see that M-Lab vastly under-reported the network throughput in every single “worst” ZIP code in the congressional report.
Ookla_NY22_slowest_zips_chart_1120

The ZIP code showing the least amount of difference between Ookla and M-Lab data was 13803 (Marathon) where M-Lab’s recorded median was 5.5 Mbps and the median from Ookla data was 14.5 Mbps. This means the typical speed in Marathon measured by Ookla’s Speedtest was over two and a half times as fast as the average measurement captured by M-Lab. On the other end of the scale, in Whitney Point, M-Lab’s recorded median was 0.9 Mbps while Ookla measured a median of 71.6 Mbps, almost eighty times faster.

Contrary to M-Lab’s data, Ookla data determined that 12 of the listed ZIP codes met the FCC minimum threshold of 25 Mbps download and 3 Mbps upload, with two additional ZIP codes falling just below the thresholds.

A policymaker looking at M-Lab’s data alone might incorrectly assume that every single listed ZIP code in the district is wildly underserved. In this case, funding may be allocated to areas that already have adequate broadband service, leaving underserved constituents without connectivity.

When bad data leads to underserved communities

In a few outlying ZIP codes, the speeds measured by Ookla were actually much slower than those measured by M-Lab. Below is a comparison of the “best” ZIP codes in NY-22, as reported by M-Lab, compared to Speedtest results.

While the majority of their data vastly under-reported network speeds, we zoomed in on one example where M-Lab’s data looked questionable in the very rural town of New Berlin (13411). M-Lab results showed a median download speed of 103.5 Mbps, but the median upload speed of 102.6 Mbps looked too good to be true. If this measurement was accurate, it would be outstanding service for such an isolated community. M-Lab’s report names New Berlin’s ZIP code the fastest in the entire district, which may have come as a shock to the residents there.
Ookla_NY22_fastest_zips_chart_1120

Ookla’s results for the New Berlin ZIP code show a strikingly different picture: a median download speed of 18.5 Mbps and median upload speed of 3.3 Mbps. While the upload number meets FCC minimums, the download certainly does not. If ZIP codes are used to determine eligibility for broadband funding, the M-Lab results would indicate that the area around New Berlin is not in need of broadband infrastructure assistance.

While reporting data aggregated by ZIP code is common among network testing providers like M-Lab, Ookla does not recommend using ZIP codes as an arbitrary boundary for measuring broadband performance.

ZIP codes were created for a single purpose — to efficiently deliver the mail via linear routes. While an urban ZIP code may contain several neighborhoods in the same city, rural ones can encompass several small communities many miles apart from one another. ZIP code names do not reflect every community served, and are usually named for the community that hosts the postal facility.

The disparities between network data providers

Federal, state and local policymakers need to use the most accurate, comprehensive data available on the networks when deciding where to spend broadband funding. However, not all network testing providers are created equal.

To accurately measure the download speed of an internet connection, a testing application such as Ookla’s Speedtest or M-Lab’s Network Diagnostic Tool, running on the end users’ machine, pings dedicated testing servers to send as much data as possible. The testing application then measures how much data it receives back from the servers during a period of time (usually 10 or 15 seconds).
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Each test requires a large enough data transfer to ensure that it fully saturates the network connection and measures the full throughput capability. With ISPs offering high-speed connectivity such as optical fiber to the home, this problem is only getting worse. These connections are able to handle speeds between 1 and 2 Gbps, roughly 40 to 80 times more than the minimum broadband speed of 25 Mbps.

Some network testing providers, however, do not have adequate testing infrastructure to account for normal demand on the network, and thus are incapable of accurately measuring peak network speed.

Since M-Lab is a Google partner, search engine results drive traffic their way for performance testing. This is not because they are the best test, but because of the relationship between the two organizations. In fact, M-Lab’s testing infrastructure is extremely limited in a way that produces inferior testing outcomes. Currently, M-Lab has fewer than 60 servers across the entire United States listed on their infrastructure map below (with no servers shown in Alaska, Hawaii or the U.S. territories.)

The Speedtest Server Network™ was purpose-built to manage a global scale of volume, with testing servers strategically located in every country and most major population centers. We have over 12,000 servers in the network, with more than 1,600 in the United States and 68 servers in New York State alone.
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When a user takes a test through M-Lab, the test measures the speed between the user’s device and a single — and often distant — server. When data travels between the user’s device and a distant server it may have to traverse many network “hops” (when a packet of data is passed from one network segment to the next) to get there. The additional lag time this introduces to the test results can negatively impact the user’s perception of the local network’s performance. If the server being used for that specific test is also trying to run many other tests at the same time, it may not have sufficient capacity to provide an accurate result. If there are multiple users simultaneously testing their high-speed connection, the tests might consume all the available throughput from a single test server, thus denying other users the capacity required to measure their own connection. Simply put, M-Lab’s infrastructure is insufficient for internet performance testing in the modern era.

Learn how bad data can negatively impact government funding

There are billions of dollars of federal, state and local government funding at stake — not to mention the educational opportunities and livelihoods of millions of constituents. It is critical that policymakers vet their data sources to fully understand the broadband landscape in their jurisdictions — and prioritize spending to best serve their most vulnerable constituents.

Download the full white paper to learn the five considerations every policymaker should take into account when evaluating data sources for their broadband funding decisions.

Ookla retains ownership of this article including all of the intellectual property rights, data, content graphs and analysis. This article may not be quoted, reproduced, distributed or published for any commercial purpose without prior consent. Members of the press and others using the findings in this article for non-commercial purposes are welcome to publicly share and link to report information with attribution to Ookla.

| September 22, 2020

How Georgia is Leveraging Cell Analytics™ to Enable Virtual Classrooms

Students are returning to class as the school year begins, but in many areas it is not safe to return to the classroom. This means the massive and unprecedented shift to remote learning we saw in the early spring continues for many into the fall. Even where schools have chosen to reconvene in-person classes, the moment a case of COVID-19 is detected, students and faculty are pushed back out of the facility and into online learning. Eager to keep their 1.7 million students connected, education boards in cities and counties throughout the state of Georgia are outfitting school buses with hotspot devices. And they are using Cell AnalyticsTM data from Ookla® to identify the best locations to position those buses to help remote learners.

The digital divide makes remote learning even harder for some families

Many families are simply not equipped to deal with remote learning. This is especially true in economically stressed households where children often do not have the equipment or connectivity necessary to participate in virtual classes. In the state of Georgia alone, an estimated 80,000 households with students cannot access a wireline service.

National wireless operators have donated thousands of portable Wi-Fi hotspots to connect students to their 4G LTE networks (5G networks are so new, coverage is limited and only a few devices are available). As generous as these donations have been, they do not come close to filling the total need.

CARES Act funding provides resources

The U.S. Congress passed the $2.2 trillion Coronavirus Aid, Relief, and Economic Security Act, also known as the CARES Act, earlier this year. Signed into law on March 27, this stimulus bill includes funding to assist each state with providing broadband connectivity for students so that they can continue to attend classes remotely. The CARES Act has provided the respective state departments of education and municipal and county education boards with resources needed to buy the millions of laptops required to allow remote learning as well as hotspots that can connect these new laptops or existing ones to the internet.

Hotspots can only help in areas with adequate coverage

Programs providing broadband for education over the past decade have focused on installing high-speed service in community anchor institutions, which include schools and libraries. If these facilities are closed for safety reasons, those connections may not be available. Even when those connections are available, wireless coverage at many anchor institutions is quite poor. Compounding the issue, some constituents have objected to installing critically important cell sites near schools.

Additionally, schools are sometimes located where a plot of land is inexpensive or large enough to accommodate a new campus. This may place the anchor institution far from the residential areas from which students are trying to connect to their online classes.

Hotspots can help by connecting previously unserved buildings with the internet. Even when service is available to a building, some families cannot afford the additional expense of a fixed internet connection. However, indoor coverage from hotspots can be insufficient to provide enough throughput for sustained video streaming for one user, let alone multiple students at a time. In many rural areas, even outdoor hotspot coverage will be too weak to provide students with the level of connectivity needed to remain engaged in the remote classroom.

Read the full case study

Ookla retains ownership of this article including all of the intellectual property rights, data, content graphs and analysis. This article may not be quoted, reproduced, distributed or published for any commercial purpose without prior consent. Members of the press and others using the findings in this article for non-commercial purposes are welcome to publicly share and link to report information with attribution to Ookla.