Tag Archives: Map of the Month

April 2016 Map of the Month: Blue Stakes, Call Before You Dig!

Maps of Blue Stakes 2015 utility marking tickets: statewide and in select rural areas

Click to open pdf maps of Blue Stakes of Utah’s 2015 ticket distribution.

Planning to dig a hole or otherwise move the earth in Utah? It’s strongly in everyone’s interest, including your own, to contact Blue Stakes before you begin!

Our April Map of the Month post looks at some interesting map and time series data from Blue Stakes of Utah, an organization in which 580 Utah underground facilities-owning members participate, including, of course, most of the state’s broadband providers. Continue reading

January 2016 Map of the Month: Broadband Access & Employment

Jan 2016 Map of the Month

Click to open pdf

Happy New Year and welcome to the first 2016 installment of the Broadband Outreach Center’s Map of the Month series.

This month we’ve mashed up two state-by-state level datasets that, together, show relationships between access of high speed Internet and overall employment rates. The map color codes each state into one of nine classes, each of which considers broadband and employment rates together.

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December 2015 Map of the Month: New Online Map Gallery

online map gallerySince its inception in April 2012, over 40 maps have been published in the Utah Broadband Outreach Center‘s Map of the Month series. And, that’s in addition to the BOC’s mainstay maps like the residential broadband service map and locate.utah.gov, the commercial fiber availability map.  For this end of the year addition to the MOTM series, we have reorganized BOC maps and map apps into an all-in-one online map gallery. The gallery presents overview graphics and text descriptions for each map. Continue reading

November 2015 Map of the Month: Commercial Fiber Service Availability

Commercial fiber utahThe November 2015 Map of the Month shows, at a statewide scale, the current commercial fiber-based broadband service availability reported to the Broadband Outreach Center for inclusion on the locate.utah.gov site.

The Utah Economic Development Map (locate.utah.gov), which was released in May, features the availability of fiber broadband service together with other considerations attractive to relocating businesses such as utility, transportation, education, and recreation resources.

The fiber broadband service on this interactive web map is portrayed using 1 km hexagons (diameter), according to two general categories of service:

  • Short Order Fiber Service Availability (typically within 30 days), and
  • Custom Order Fiber Service (typically within 9 months).

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February 2015 Map of the Month: Utah Outperforming On New FCC Broadband Benchmarks

NewFCCSpeedDefinitionLast month, the Federal Communications Commission (FCC) announced an update to its broadband benchmarks which are now set at 25 Mbps for advertised download speeds and 3 Mbps for upload speeds. Using this updated benchmark, the FCC found that 17% of the United State’s population lack access to broadband availability. There is a significant digital divide with over half of rural Americans lacking broadband access. Despite great challenges presented by Utah’s terrain, remote communities, and federal land restrictions, the digital divide is narrower in Utah.

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Jan 15 Map of the Month: Visualizing Broadband Drive Tests

bbdrivetest_bestany2013

Best Download Speed (any provider) from November 2013

The Utah Broadband Project contracted with Isotrope, LLC to perform a mobile broadband drive test along over 6,000 miles of Utah’s highways and major roads. This dataset was used for comparison purposes to verify coverage areas and speed data submitted to the Project,the NTIA and FCC. The dataset is also useful as it provides insight,, albeit at the time of collection only, in to typical network performance that consumers experience.

Since the speed test platform collected observations every second (or every 15 seconds in the case of the 2013 4G/LTE-specific tests) for each provider, the raw dataset is quite large, with millions of data points. The dataset was difficult to analyze, visualize, and compare because of the sheer number and the density of observation points.

In an effort to create a summary product from the raw data files, a unique approach was taken that aggregates observations to road segments of a near uniform size (0.5 miles). Continue reading