Download speed report

Chart 4: The ratio of weighted median speed download and upload to advertised speed for each ISP. As discussed earlier, actual speeds experienced by individual consumers may vary by location and time of day.

Relatively few subscribers of cable service experienced this. This is typically caused by increased traffic demand and the resulting stress on different parts of the network infrastructure. As an example, a good consistency of speed measure is likely to indicate a higher quality of service experience for internet users consuming video content.

When the difference between the two ratios is small, the median download speed is fairly insensitive to both geography and time. When the difference between the two ratios is large, there is a greater variability in median download speed, either across a set of different locations or across different times during the peak usage period at the same location. Customers of Charter, Comcast, Cox, Mediacom and Optimum experienced median download speeds that were very consistent; i.

The latency between any two points in the network is the time it takes for a packet to travel from one point to the other. It has a fixed component that depends on the distance, the transmission speed, and transmission technology between the source and destination, and a variable component due to queuing delay that increases as the network path congests with traffic.

Chart 7 shows the median latency for each participating ISP. In general, higher-speed service tiers have lower latency, as it takes less time to transmit each packet. The median latencies ranged from 10 ms to 27 ms in our measurements with the exception of CenturyLink DSL and Cincinnati Bell DSL which had median latencies of 40 ms and 34 ms, respectively. DSL latencies between 11 ms to 40 ms were slightly higher than those for cable 13 ms to 27 ms.

Fiber ISPs showed the lowest latencies 10 ms to 12 ms. The differences in median latencies among terrestrial-based broadband services are relatively small and are unlikely to affect the perceived quality of highly interactive applications.

Packet loss is the percentage of packets that are sent by a source but not received at the intended destination. The most common causes of packet loss are congestion leading to buffer overflows or active queue management along the network path. Alternatively, high latency might lead to a packet being counted as lost if it does not arrive within a specified window.

A small amount of packet loss is expected, and indeed packet loss is commonly used by some Internet protocols such as TCP to infer Internet congestion and to adjust the sending rate to mitigate the offered load, thus lessening the contribution to congestion and the risk of lost packets.

The MBA program uses an active UDP-based packet loss measurement method and considers a packet lost if it is not returned within 3 seconds. Chart 8 shows the average peak-period packet loss for each participating ISP, grouped into bins. We have broken the packet loss performance into three bands, allowing a more granular view of the packet loss performance of the ISP network.

The breakpoints for the three bins used to classify packet loss have been chosen with an eye towards balancing commonly accepted packet loss thresholds for specific services and provider packet loss Service Level Agreements SLAs for enterprise services, as consumer offerings are not typically accompanied by SLAs.

The specific value of 0. Indeed, most SLAs support 0. Chart 8: Percentage of consumers whose peak-period packet loss was less than 0. Within a given technology class, packet loss also varies among ISPs. The MBA program also conducts a specific test to gauge web browsing performance. The web browsing test accesses nine popular websites that include text and images, but not streaming video. Chart 9 displays the average webpage download time as a function of the advertised download speed.

As shown by this chart, webpage download time decreases as download speed increases, from about 9. Subscribers to service tiers exceeding 25 Mbps experience slightly smaller webpage download times decreasing to 1 — 1. Beyond Mbps, the webpage download times decrease only by minor amounts. These download times assume that only a single user is using the Internet connection when the webpage is downloaded, and does not account for more common scenarios, where multiple users within a household are simultaneously using the Internet connection for viewing web pages, as well as other applications such as real-time gaming or video streaming.

Chart 9: Average webpage download time, by advertised download speed. The methodologies and assumptions underlying the measurements described in this Report are reviewed at meetings that are open to all interested parties and documented in public ex parte letters filed in the GN Docket No. Policy decisions regarding the MBA program were discussed at these meetings prior to adoption, and involved issues such as inclusion of tiers, test periods, mitigation of operational issues affecting the measurement infrastructure, and terms-of-use notifications to panelists.

Participation in the MBA program is open and voluntary. Participants include members of academia, consumer equipment vendors, telecommunications vendors, network service providers, consumer policy groups, as well as our contractor for this project, SamKnows. Participants have contributed in important ways to the integrity of this program and have provided valuable input to FCC decisions for this program. Initial proposals for test metrics and testing platforms were discussed and critiqued within the broadband collaborative.

M-Lab and Level 3 contributed their core network testing infrastructure, and both parties continue to provide invaluable assistance in helping to define and implement the FCC testing platform. We thank all the participants for their continued contributions to the MBA program. The measurements that provided the underlying data for this report were conducted between MBA measurement clients and MBA measurement servers. The measurement clients i. After the measurement data was processed as described in greater detail in the Technical Appendix , test results from 3, panelists were used in this report.

The measurement clients collected data throughout the year, and this data is available as described below. Broadband performance varies with the time of day. At peak hours, more people tend to use their broadband Internet connections, giving rise to a greater potential for network congestion and degraded user performance. Unless otherwise stated, this Report focuses on performance during peak usage period, which is defined as weeknights between p.

Focusing on peak usage period provides the most useful information because it demonstrates what performance users can expect when the Internet in their local area experiences the highest demand from users.

Our methodology focuses on the network performance of each of the participating ISPs. The metrics discussed in this Report are derived from active measurements, i. For each panelist, the tests automatically choose the measurement server that has the lowest latency to the measurement client. However, the service performance that a consumer experiences could differ from our measured values for several reasons.

First, as noted, in the course of each test instance we measure performance only to a single measurement server rather than to multiple servers. This is consistent with the approach chosen by most network measurement tools. That strong signal will also deliver as much speed as your device can handle. The placement of your Gateway is the key to ensuring both coverage and speed for your devices. Your home WiFi connection is only as good as your Gateway modem or router , since all devices connect through it.

We upgrade our smartphones regularly, but often neglect to upgrade the actual devices that connect us to the Internet. A Gateway that's a generation or two behind may not be able to deliver the fastest broadband speeds to the latest devices. If you have an older Gateway modem or router consider an upgrade. Different devices handle speeds differently depending on make, model and age. Consider the speed of a race car compared to a minivan.

Members can delete their tests and the data is actually, really, gone. We do not have an interest in making ISPs look good! Your data is private. We collect data in order to present anonymized statistics but do NOT send it outside dslreports. If that should ever change, it will be clearly indicated and opt-out will be available. This test does not piggy back a CDN content delivery network with an impressive list of cities but dodgy geo-location and shared servers.

All test servers are dedicated to testing, are monitored, and are capable of multiples of the bandwdth actually required. If the servers get close to any capacity cap then the number of people per minute testing is throttled to keep results clean. We regularly log gigabit results from well connected research and corporate IP addresses using average PCs and browsers.

The test is being fine tuned by ISP customers members of this site. Our feedback forum is public, please use it to raise any concerns, or ask anything. You have a poorly written browser extension installed, there is missing functionality.

Contributed servers webnx. See the map. Idle Latency. Javascript needs to be enabled to run a speedtest Welcome to the speed test that tests internet speed not just speed to your ISP. A complete test takes less than 45 seconds If you switch tabs during the test, it will stop blame the browser! Another report shared that they were able to record This is a far cry from the numbers promised by Ray. Source: 1 , 2. No better than 4G LTE in most cases.

Right now, 5G is just a sales gimmick. T-Mobile is like every other cell provider. They lie about their numbers and signal. Everything they do and say is a damn lie. Today I get about 50mbs. Not earth shattering but still a significant speed and better service. It is just bragging rights. So one test from Long Beach, California is how we determine network speed now? I have an iPhone 12 Pro Max. I am using the speedtest from ookla. The three cell companies tend to fix up New York city first, partially to score bragging rights, but also because it is so dense, flat and with lots of skyscrapers it is easy to put up a lot of towers without fuss.

That makes it easy to get a signal out. Here where I live in CA it is small valleys. Disable 5G this year. Maybe they will turn it on for real next year.

Almost everywhere too. Stop lying to try and make TMobile look better than it actually is there. Coverage too. I have access to n71 in my area, but have not seen any notice of n41 being available as yet. Figure there is no reason to upgrade to a 5G device until mid-band is Live.