Wireless Broadband
Internet System White Papers
Evolving Metrics:
New Levels of
Accuracy Reveal
Increased Take Rates
November 2009
Amended December 2009
Document Objective
This document describes the methodology and sources used in
calculating a more current and accurate “Take Rate” for broadband in
the United States, resulting in an increase over previous
calculations.
Background
Thanks to funding through a variety of sources – the American
Reinvestment and Recovery Act (ARRA), Broadband Stimulus under the
BTOP, and BIP programs offered by the NTIA and USDA Rural Utilities
Service (RUS) programs – much attention has been focused on
broadband penetration, take rates and adoption rates in the United
States. Recent round-one RUS program applications required broadband
details, but a lack of information has limited both the availability
of comprehensive data and overall study of the issue.
For years, the Federal Communications Commission (FCC) has
collected data from broadband Internet providers using their Form
477. This information indicates the number of customers, broadband
speeds, pricing and whether customers are residential or business
class. Data had been tabulated at the Zip™ code level, but the
collection process was recently modified to provide results at the
Census Tract level instead.
Given access to this comprehensive database of information, it
would be possible to determine broadband availability to a
reasonable level of geographic accuracy. Unfortunately, access on a
granular level outside of the FCC is not permitted, due in large
part to agreements struck with the carriers to ensure their most
important data assets would be protected from disclosure to
competitors.
Existing Resources
Each year, the FCC releases a reportto Congress called
“The State of Broadband in the US.” The information in this report
is provided at a state level, and has been used to tabulate
broadband penetration rates. The calculation is determined by
dividing the total number of reported residential subscriber lines
by the total households reportedfor the same time
period in each state, resulting in a take rate for the state as a
whole.
While this approach provides good
directional information at macro levels, it does not provide the
much-needed broadband penetration rates required for analysis of
only the areas where broadband services are deployed.
In August of 2009, Brian Webster Consulting teamed with data
provider Gadberry Group to design and prototype a method that would
provide near address-level precision for broadband consumption and
take rates. In the paragraphs that follow, we will describe what we
believe to be the most accurate method possible to quantify take
rates at micro levels of geography.
Data Sources
·
FCC Report to Congress “High Speed Services for Internet Access:
Status as of June 30, 2008”
·
Census Bureau Annual Estimate of Housing Units for Counties
·
Gadberry’s Broadband Served Indicator Data
FCC Data
Each year, the FCC releases a reportto Congress called
“The State of Broadband in the US.” The information in this report
is provided at a state-level only.
Census Data
The Population Estimates Program publishes total resident population
estimates and demographic components of change (births, deaths and
migration) each year. It also publishes estimates by demographic
characteristics (age, sex, race and Hispanic origin) for the nation,
individual states and counties.
In addition to the resident population universe, the census bureau
also produces population estimates for these universes: resident
plus armed forces overseas, civilian, civilian non-institutionalized
at the national level, and civilian at the state level. The
reference date for estimates is July 1.
Estimates usually are for the present and the past, while
projections are estimates of the population for future dates.
The program develops these estimates with the assistance of the
Federal State Cooperative Program for Population Estimates (FSCPE).
These estimates are used in federal funding allocations, as
denominators for vital rates and per capita time series, as survey
controls, and in monitoring recent demographic changes. With each
new issue of July 1 estimates, revisions are made to estimates for
years back to the last census. Previously published estimates are
superseded and archived.
The Population Estimates are also available on
American Factfinder.
Broadband Indicator Data
Gadberry’s Broadband Served Indicator Data provides demographic data
specifically designed to satisfy the requirements of the
Broadband Initiative Program, as a part of the American Recovery and
Reinvestment Act of 2009.
The Broadband Indicator is created using self-reported consumer
information including Internet registrations, survey cards, online
surveys, registrations and marketing solicitations data. The source
data is compiled monthly by the provider, and the Broadband
Indicator is constructed quarterly. The current sample size is over
20 million household records containing information indicating
broadband use.
Take Rate Methodology
We began by quantifying the total number of households with
access to broadband services. Using the broadband in-use data
described above, census blocks with reported active broadband
subscribers were identified, as well as the number of occupied
household units in each block for 2008. When totaled, the number of
households in these census blocks provided the number of homes
passed by broadband services. There were no efforts to determine
the type of technology, pricing or speed available.
Armed with this information, the number
of active broadband residential lines for each state (as per
the FCC report) was divided by the total households in the active BB
census blocks. The result is an accurate penetration rate in the
areas where broadband services are known to be available, as
well as the census blocks where broadband is unavailable.
Subtracting the total households with active broadband available
from the total households for the state gave the final result of
homes without access to broadband.
While most will agree that many states have large geographic areas
with no access to broadband services, examining the data in the
table below reveals that the percentage of households without access
is smaller than many estimated. Much of this variance is due to
sociological behaviors and patterns of settlement over time.
The census block, from a geographic standpoint, will vary in size
based on population (and subsequently households). In sparsely
populated areas, a census block may contain a large land area but
represent very few households. In a metropolitan area, on the other
hand, a census block may be no larger than a city block but include
many homes and/or multi-family dwelling units. So, even though it
may appear on a map that large areas of a state lack access to
broadband, the number and percentage of households might be small in
comparison to the land area.

Figure
1: Arizona Broadband Classified Census Blocks
The image above for the state of Arizona shows a large amount of
land area without reported broadband use. Yet, Arizona has a 75.13%
adoption rate where broadband services are available. The take rate
averaged over the whole state is 57.86%. Only 22.99% of the homes
statewide do not have access to broadband.

Figure
2: Arkansas Broadband Classified Census Blocks
|
State |
Homes July 2008 |
2008 Broadband Res Lines |
2008 Res Take Rate
Statewide |
Households with BB Available |
Take Rate Where BB is Available |
Difference Available to Statewide |
Number of Homes Without Access to BB |
% Homes without BB Access |
|
AK |
283,357 |
156,793 |
55.33% |
175,379 |
89.40% |
34.07% |
107,978 |
38.11% |
|
AL |
2,158,576 |
909,945 |
42.15% |
1,633,780 |
55.70% |
13.54% |
524,796 |
24.31% |
|
AR |
1,298,137 |
612,182 |
47.16% |
927,961 |
65.97% |
18.81% |
370,176 |
28.52% |
|
AZ |
2,722,725 |
1,575,252 |
57.86% |
2,096,738 |
75.13% |
17.27% |
625,987 |
22.99% |
|
CA |
13,393,878 |
10,406,479 |
77.70% |
12,018,850 |
86.58% |
8.89% |
1,375,028 |
10.27% |
|
CO |
2,152,040 |
1,315,361 |
61.12% |
1,743,132 |
75.46% |
14.34% |
408,908 |
19.00% |
|
CT |
1,443,115 |
1,135,798 |
78.70% |
1,360,979 |
83.45% |
4.75% |
82,136 |
5.69% |
|
DC |
285,353 |
191,505 |
67.11% |
243,435 |
78.67% |
11.56% |
41,918 |
14.69% |
|
DE |
392,965 |
240,153 |
61.11% |
320,355 |
74.96% |
13.85% |
72,610 |
18.48% |
|
FL |
8,800,294 |
5,425,497 |
61.65% |
7,120,733 |
76.19% |
14.54% |
1,679,561 |
19.09% |
|
GA |
4,026,082 |
2,402,283 |
59.67% |
3,263,180 |
73.62% |
13.95% |
762,902 |
18.95% |
|
HI |
512,881 |
378,477 |
73.79% |
394,369 |
95.97% |
22.18% |
118,512 |
23.11% |
|
IA |
1,329,352 |
632,294 |
47.56% |
979,854 |
64.53% |
16.97% |
349,498 |
26.29% |
|
ID |
641,479 |
343,184 |
53.50% |
454,827 |
75.45% |
21.95% |
186,652 |
29.10% |
|
IL |
5,276,979 |
3,471,815 |
65.79% |
4,383,916 |
79.19% |
13.40% |
893,063 |
16.92% |
|
IN |
2,795,024 |
1,274,862 |
45.61% |
2,207,438 |
57.75% |
12.14% |
587,586 |
21.02% |
|
KS |
1,226,859 |
721,808 |
58.83% |
922,683 |
78.23% |
19.40% |
304,176 |
24.79% |
|
KY |
1,920,581 |
932,158 |
48.54% |
1,531,031 |
60.88% |
12.35% |
389,550 |
20.28% |
|
LA |
1,883,167 |
1,111,304 |
59.01% |
1,585,612 |
70.09% |
11.07% |
297,555 |
15.80% |
|
MA |
2,735,443 |
1,946,046 |
71.14% |
2,491,976 |
78.09% |
6.95% |
243,467 |
8.90% |
|
MD |
2,333,064 |
1,767,213 |
75.75% |
2,097,156 |
84.27% |
8.52% |
235,908 |
10.11% |
|
ME |
700,480 |
309,458 |
44.18% |
463,399 |
66.78% |
22.60% |
237,081 |
33.85% |
|
MI |
4,535,323 |
2,262,822 |
49.89% |
3,664,400 |
61.75% |
11.86% |
870,923 |
19.20% |
|
MN |
2,331,619 |
1,288,882 |
55.28% |
1,811,539 |
71.15% |
15.87% |
520,080 |
22.31% |
|
MO |
2,663,977 |
1,496,075 |
56.16% |
2,010,489 |
74.41% |
18.25% |
653,488 |
24.53% |
|
MS |
1,267,231 |
435,193 |
34.34% |
931,606 |
46.71% |
12.37% |
335,625 |
26.48% |
|
MT |
438,282 |
198,534 |
45.30% |
269,742 |
73.60% |
28.30% |
168,540 |
38.45% |
|
NC |
4,201,378 |
2,280,220 |
54.27% |
3,386,502 |
67.33% |
13.06% |
814,876 |
19.40% |
|
ND |
313,332 |
145,593 |
46.47% |
188,651 |
77.18% |
30.71% |
124,681 |
39.79% |
|
NE |
786,334 |
431,124 |
54.83% |
562,337 |
76.67% |
21.84% |
223,997 |
28.49% |
|
NH |
597,129 |
363,328 |
60.85% |
471,599 |
77.04% |
16.20% |
125,530 |
21.02% |
|
NJ |
3,517,293 |
2,716,982 |
77.25% |
3,133,802 |
86.70% |
9.45% |
383,491 |
10.90% |
|
NM |
871,700 |
374,043 |
42.91% |
564,196 |
66.30% |
23.39% |
307,504 |
35.28% |
|
NV |
1,127,061 |
780,141 |
69.22% |
915,596 |
85.21% |
15.99% |
211,465 |
18.76% |
|
NY |
7,977,286 |
5,470,914 |
68.58% |
6,988,378 |
78.29% |
9.70% |
988,908 |
12.40% |
|
OH |
5,079,873 |
2,838,688 |
55.88% |
4,391,866 |
64.64% |
8.75% |
688,007 |
13.54% |
|
OK |
1,637,138 |
880,666 |
53.79% |
1,154,522 |
76.28% |
22.49% |
482,616 |
29.48% |
|
OR |
1,628,826 |
1,081,837 |
66.42% |
1,331,670 |
81.24% |
14.82% |
297,156 |
18.24% |
|
PA |
5,496,336 |
3,097,119 |
56.35% |
4,563,812 |
67.86% |
11.51% |
932,524 |
16.97% |
|
RI |
451,753 |
297,643 |
65.89% |
411,553 |
72.32% |
6.44% |
40,200 |
8.90% |
|
SC |
2,056,127 |
942,688 |
45.85% |
1,578,466 |
59.72% |
13.87% |
477,661 |
23.23% |
|
SD |
361,482 |
170,380 |
47.13% |
227,352 |
74.94% |
27.81% |
134,130 |
37.11% |
|
TN |
2,758,171 |
1,346,820 |
48.83% |
2,327,985 |
57.85% |
9.02% |
430,186 |
15.60% |
|
TX |
9,598,579 |
6,198,779 |
64.58% |
7,845,124 |
79.01% |
14.43% |
1,753,455 |
18.27% |
|
UT |
944,347 |
552,567 |
58.51% |
774,276 |
71.37% |
12.85% |
170,071 |
18.01% |
|
VA |
3,306,389 |
1,900,624 |
57.48% |
2,815,194 |
67.51% |
10.03% |
491,195 |
14.86% |
|
VT |
312,617 |
136,780 |
43.75% |
205,400 |
66.59% |
22.84% |
107,217 |
34.30% |
|
WA |
2,791,597 |
1,783,539 |
63.89% |
2,344,684 |
76.07% |
12.18% |
446,913 |
16.01% |
|
WI |
2,569,430 |
1,384,836 |
53.90% |
2,041,611 |
67.83% |
13.93% |
527,819 |
20.54% |
|
WV |
886,430 |
314,072 |
35.43% |
471,193 |
66.65% |
31.22% |
415,237 |
46.84% |
|
WY |
246,393 |
116,661 |
47.35% |
146,697 |
79.53% |
32.18% |
99,696 |
40.46% |
|
Totals |
129,065,264 |
78,547,417 |
60.86% |
105,947,025 |
72.90% |
12.05% |
23,118,239 |
17.91% |
Table 1: Comparison of Broadband Take
Rates by State

Figure
3: Indiana Broadband Classified Census Blocks

Figure 4:
Michigan Broadband Classified Census Blocks

Figure 5: Aerial map of blocks with no access and occupied
households.
Conclusion
Using the approach described in this document, the estimate of the
national broadband adoption rate where services are available stands
at 72.9%. The total number of homes with access to broadband is
105,947,025. The number of homes that do not have access to
broadband is 23,118,239, which represents 17.91% of currently
occupied homes (based on 2008 estimates). When compared to the
current accepted industry estimates, the new approach results in a
10% increase in previously quoted adoption rates.
Based on these higher adoption rates, it is now possible to
reevaluate additional broadband deployments or expansions to areas
that might not have been considered financially sustainable
previously, based on their low household density per square mile.
Armed with more accurate data and the ability to identify exactly
where unserved homes are located allows for more informed
deployment strategies, and possibly more served households.
Purpose of Brief
This brief is not intended to go into high-level detail regarding
speed, pricing or type of technology/topology deployed, nor is it
intended to quantify the ranking of the US in worldwide broadband
adoption rates. The Berkman Center recently published a report for
the FCC with those details, available at
http://www.fcc.gov/stage/pdf/Berkman_Center_Broadband_Study_13Oct09.pdf.
Rather, the primary focus of this brief is to identify the potential
broadband market as a whole. Take rate statistics have a major
impact in forecasting the financial viability and sustainability for
private sector broadband networks. To date, most models assume a
much lower adoption rate, which could make a difference in decisions
to deploy broadband in the remaining unserved markets.
About Brian Webster Consulting
Brian Webster Consulting and wirelessmapping.com were created to
fill a need for affordable wireless engineering services for those
unable to justify the cost of hiring and maintaining fulltime RF
Engineering staff. Projects are approached with a creative eye,
cost-conscious methodology and nearly 20 years of industry
experience. The integration of Geographic Information Systems (GIS)
helps present complex engineering and demographic information in
clear, color diagrams that help the end user make actionable
business decisions. These capabilities allow demographic data and
market analysis information to be included as overlays to a client’s
engineering diagrams, along with raw data for input to financial
models.
Brian has extensive experience in municipal wireless (Muni) network
design. Most recently, he was an RF Engineering Manager at
EarthLink and was responsible for designing the
City of Philadelphia’s municipal wireless network, one of the
world’s largest wireless mesh deployments. His responsibilities
included reviewing and approving the work of EarthLink engineers and
Motorola contractors.
http://www.wirelessmapping.com/
About
The Gadberry Group
The Gadberry Group provides location-based services and information
data products for clients who demand the most current, accurate and
precise household and population data for their site location
analysis. MicroBuildÒ, Gadberry’s patent-pending
product, is unique because only MicroBuildÒ
uses consumer data at the rooftop level to deliver quarterly
household and population counts beginning at the census block level.
http://www.gadberry.net/
Addendum – 12/18/09
After
publishing this report additional data relative to the FCC Report
was discovered:
First,
the total households stated for each state were total housing units
and not occupied housing units. The households passed figures were
of occupied households. It is only proper to compare the same on the
statewide basis. This would have actually increased the take rate
had the occupied housing units totals been used. This error is
corrected in the modified data table.
Second
and most important, in the
FCC Report to Congress “High Speed Services for Internet Access:
Status as of June 30, 2008”, the total number of residential lines
reported included data from the mobile wireless broadband operators
(Cellular and PCS carriers). In a separate report and order
#08-89 released by the FCC, it is stated that the wireless
mobile broadband carriers had reported the number of data capable
handsets, not the number of customers that actually
subscribed to data or Internet plans. Upon other research
through industry sources, it was discovered that less than 3% of the
mobile broadband subscribers use said service as their sole
connection to the Internet. The residential lines reported by the
mobile wireless carriers represent 14.5% of the total
lines stated in the FCC report.
Knowing
this information a decision was made to reduce the number of
reported residential lines in each state by 14.5% and run new take
rate calculations. There were no breakdowns of the mobile wireless
subscribers by state; the reduction was applied evenly over all
states. In the new table a lower total of residential high-speed
lines is reported as compared to the original study data.
As an
additional point of study, a confidence level for each census block
was determined. On a state-by-state basis those census blocks that
had only one or two respondent data points were separated and noted
as low confidence. Using that method, separate high confidence
columns have been added to the report. The high confidence columns
are those census blocks with three or more separate consumer reports
of broadband activity.
|
STATE |
Occupied Households July 2008 |
2008 Residential Lines minus
mobile wireless |
2008 Statewide Res Take Rate |
Households with BB Available |
Households with BB
Available High confidence |
Take Rate Where BB is Available |
Take Rate Where
Available High Confidence |
Number of Households Without
Access to BB |
Number of Households
without Access to BB High Confidence |
% Households without BB Access |
% Households without BB
Access High Confidence |
|
AK |
237,034 |
134,058 |
56.56% |
175,379 |
146,376 |
76.44% |
91.58% |
61,655 |
90,658 |
26.01% |
38.25% |
|
AL |
1,938,130 |
778,003 |
40.14% |
1,633,780 |
1,221,322 |
47.62% |
63.70% |
304,350 |
716,808 |
15.70% |
36.98% |
|
AR |
1,175,023 |
523,416 |
44.55% |
927,961 |
660,774 |
56.40% |
79.21% |
247,062 |
514,249 |
21.03% |
43.77% |
|
AZ |
2,336,959 |
1,346,840 |
57.63% |
2,096,738 |
1,841,745 |
64.24% |
73.13% |
240,221 |
495,214 |
10.28% |
21.19% |
|
CA |
12,764,753 |
8,897,540 |
69.70% |
12,018,850 |
10,655,512 |
74.03% |
83.50% |
745,903 |
2,109,241 |
5.84% |
16.52% |
|
CO |
1,959,789 |
1,124,634 |
57.39% |
1,743,132 |
1,476,533 |
64.52% |
76.17% |
216,657 |
483,256 |
11.06% |
24.66% |
|
CT |
1,405,509 |
971,107 |
69.09% |
1,360,979 |
1,235,433 |
71.35% |
78.60% |
44,530 |
170,076 |
3.17% |
12.10% |
|
DC |
256,110 |
163,737 |
63.93% |
243,435 |
210,330 |
67.26% |
77.85% |
12,675 |
45,780 |
4.95% |
17.88% |
|
DE |
343,554 |
205,331 |
59.77% |
320,355 |
277,498 |
64.09% |
73.99% |
23,199 |
66,056 |
6.75% |
19.23% |
|
FL |
7,628,143 |
4,638,800 |
60.81% |
7,120,733 |
6,171,291 |
65.14% |
75.17% |
507,410 |
1,456,852 |
6.65% |
19.10% |
|
GA |
3,652,043 |
2,053,952 |
56.24% |
3,263,180 |
2,780,748 |
62.94% |
73.86% |
388,863 |
871,295 |
10.65% |
23.86% |
|
HI |
436,273 |
323,598 |
74.17% |
394,369 |
369,281 |
82.05% |
87.63% |
41,904 |
66,992 |
9.60% |
15.36% |
|
IA |
1,247,553 |
540,611 |
43.33% |
979,854 |
677,745 |
55.17% |
79.77% |
267,699 |
569,808 |
21.46% |
45.67% |
|
ID |
562,067 |
293,422 |
52.20% |
454,827 |
344,356 |
64.51% |
85.21% |
107,240 |
217,711 |
19.08% |
38.73% |
|
IL |
4,851,822 |
2,968,402 |
61.18% |
4,383,916 |
3,662,089 |
67.71% |
81.06% |
467,906 |
1,189,733 |
9.64% |
24.52% |
|
IN |
2,543,090 |
1,090,007 |
42.86% |
2,207,438 |
1,706,453 |
49.38% |
63.88% |
335,652 |
836,637 |
13.20% |
32.90% |
|
KS |
1,118,858 |
617,146 |
55.16% |
922,683 |
698,027 |
66.89% |
88.41% |
196,175 |
420,831 |
17.53% |
37.61% |
|
KY |
1,762,321 |
796,995 |
45.22% |
1,531,031 |
1,246,235 |
52.06% |
63.95% |
231,290 |
516,086 |
13.12% |
29.28% |
|
LA |
1,792,856 |
950,165 |
53.00% |
1,585,612 |
1,262,178 |
59.92% |
75.28% |
207,244 |
530,678 |
11.56% |
29.60% |
|
MA |
2,615,877 |
1,663,869 |
63.61% |
2,491,976 |
2,171,845 |
66.77% |
76.61% |
123,901 |
444,032 |
4.74% |
16.97% |
|
MD |
2,202,016 |
1,510,967 |
68.62% |
2,097,156 |
1,905,568 |
72.05% |
79.29% |
104,860 |
296,448 |
4.76% |
13.46% |
|
ME |
555,653 |
264,587 |
47.62% |
463,399 |
345,519 |
57.10% |
76.58% |
92,254 |
210,134 |
16.60% |
37.82% |
|
MI |
4,009,186 |
1,934,713 |
48.26% |
3,664,400 |
3,049,933 |
52.80% |
63.43% |
344,786 |
959,253 |
8.60% |
23.93% |
|
MN |
2,096,616 |
1,101,994 |
52.56% |
1,811,539 |
1,444,866 |
60.83% |
76.27% |
285,077 |
651,750 |
13.60% |
31.09% |
|
MO |
2,387,051 |
1,279,144 |
53.59% |
2,010,489 |
1,589,240 |
63.62% |
80.49% |
376,562 |
797,811 |
15.78% |
33.42% |
|
MS |
1,165,764 |
372,090 |
31.92% |
931,606 |
660,351 |
39.94% |
56.35% |
234,158 |
505,413 |
20.09% |
43.35% |
|
MT |
394,719 |
169,747 |
43.00% |
269,742 |
176,219 |
62.93% |
96.33% |
124,977 |
218,500 |
31.66% |
55.36% |
|
NC |
3,756,683 |
1,949,588 |
51.90% |
3,386,502 |
2,804,418 |
57.57% |
69.52% |
370,181 |
952,265 |
9.85% |
25.35% |
|
ND |
275,615 |
124,482 |
45.17% |
188,651 |
133,651 |
65.99% |
93.14% |
86,964 |
141,964 |
31.55% |
51.51% |
|
NE |
730,577 |
368,611 |
50.45% |
562,337 |
414,182 |
65.55% |
89.00% |
168,240 |
316,395 |
23.03% |
43.31% |
|
NH |
523,124 |
310,645 |
59.38% |
471,599 |
394,238 |
65.87% |
78.80% |
51,525 |
128,886 |
9.85% |
24.64% |
|
NJ |
3,284,958 |
2,323,020 |
70.72% |
3,133,802 |
2,716,460 |
74.13% |
85.52% |
151,156 |
568,498 |
4.60% |
17.31% |
|
NM |
764,708 |
319,807 |
41.82% |
564,196 |
414,933 |
56.68% |
77.07% |
200,512 |
349,775 |
26.22% |
45.74% |
|
NV |
994,992 |
667,021 |
67.04% |
915,596 |
831,605 |
72.85% |
80.21% |
79,396 |
163,387 |
7.98% |
16.42% |
|
NY |
7,336,803 |
4,677,631 |
63.76% |
6,988,378 |
6,332,820 |
66.93% |
73.86% |
348,425 |
1,003,983 |
4.75% |
13.68% |
|
OH |
4,735,094 |
2,427,078 |
51.26% |
4,391,866 |
3,778,138 |
55.26% |
64.24% |
343,228 |
956,956 |
7.25% |
20.21% |
|
OK |
1,477,008 |
752,969 |
50.98% |
1,154,522 |
890,260 |
65.22% |
84.58% |
322,486 |
586,748 |
21.83% |
39.73% |
|
OR |
1,516,658 |
924,971 |
60.99% |
1,331,670 |
1,082,391 |
69.46% |
85.46% |
184,988 |
434,267 |
12.20% |
28.63% |
|
PA |
5,062,337 |
2,648,037 |
52.31% |
4,563,812 |
3,758,275 |
58.02% |
70.46% |
498,525 |
1,304,062 |
9.85% |
25.76% |
|
RI |
432,696 |
254,485 |
58.81% |
411,553 |
345,384 |
61.84% |
73.68% |
21,143 |
87,312 |
4.89% |
20.18% |
|
SC |
1,825,000 |
805,998 |
44.16% |
1,578,466 |
1,232,290 |
51.06% |
65.41% |
246,534 |
592,710 |
13.51% |
32.48% |
|
SD |
317,343 |
145,675 |
45.90% |
227,352 |
156,285 |
64.07% |
93.21% |
89,991 |
161,058 |
28.36% |
50.75% |
|
TN |
2,556,644 |
1,151,531 |
45.04% |
2,327,985 |
1,927,177 |
49.46% |
59.75% |
228,659 |
629,467 |
8.94% |
24.62% |
|
TX |
8,924,973 |
5,299,956 |
59.38% |
7,845,124 |
6,478,688 |
67.56% |
81.81% |
1,079,849 |
2,446,285 |
12.10% |
27.41% |
|
UT |
857,504 |
472,445 |
55.10% |
774,276 |
665,293 |
61.02% |
71.01% |
83,228 |
192,211 |
9.71% |
22.42% |
|
VA |
3,093,328 |
1,625,034 |
52.53% |
2,815,194 |
2,459,003 |
57.72% |
66.09% |
278,134 |
634,325 |
8.99% |
20.51% |
|
VT |
253,271 |
116,947 |
46.17% |
205,400 |
147,573 |
56.94% |
79.25% |
47,871 |
105,698 |
18.90% |
41.73% |
|
WA |
2,581,680 |
1,524,926 |
59.07% |
2,344,684 |
1,981,047 |
65.04% |
76.98% |
236,996 |
600,633 |
9.18% |
23.27% |
|
WI |
2,291,855 |
1,184,035 |
51.66% |
2,041,611 |
1,626,833 |
58.00% |
72.78% |
250,244 |
665,022 |
10.92% |
29.02% |
|
WV |
757,767 |
268,532 |
35.44% |
471,193 |
354,317 |
56.99% |
75.79% |
286,574 |
403,450 |
37.82% |
53.24% |
|
WY |
215,923 |
99,745 |
46.19% |
146,697 |
92,839 |
67.99% |
107.44% |
69,226 |
123,084 |
32.06% |
57.00% |
|
Totals |
118,005,310 |
67,158,042 |
56.91% |
105,947,025 |
89,005,567 |
63.39% |
75.45% |
12,058,285 |
28,999,743 |
10.22% |
24.57% |
Table 2 –
Modified Comparison of Broadband Take Rates by State
Leading Edge or Bleeding Edge -
Determining When a Wireless Site Fits Your Business Plan
WiFi is a very real and exciting opportunity where tech savvy
entrepreneurs are redefining our world before our eyes. Buzzwords like
Wireless Broadband, Wi-Fi, WiMax, Access Point, BTS, 802.11a, 802.11b,
802.11g, 802.11n, WAP, Hot Spot 2.4Ghz, 5Ghz, 5.8Ghz, CPE, Backhaul,
Mesh, Open Source and COTS are all around us. Many are considering
joining the ranks of the Wireless Internet Service Providers or WISP’s.
Hey, this is not rocket surgery, right? Nope, rocket surgery is easier,
much easier. You can see the rocket.
If you fail to plan, plan to fail. It is not enough to just mesh your
acronyms, understand the hardware, crack open a box; plug it in, and
your Rupert Murdock’s next apprentice. This is business; remember the
basics, do the homework. Things like; a business plan, network design,
equipment, installation, integration, software specification and cost
analysis is just the start and hardly enough to determine if you have a
winning return on investment (ROI) model. Back in the days of Wing
Commander and dial-up ISP’s it was relatively easy to predict who you
could provide services to. You merely did research on available phone
number exchanges and calling areas. As long as people had a telephone,
ring-ring cha-ching, they were potential customers.
Now, just because your barber and broker have mastered the buzzwords
(sort of) and the spectrum is unlicensed, it does not mean that it is
open mike night at the Grand Ole Opry… yet. In the wireless broadband
world if you want to maximize that opportunity, you will need to conduct
some very advanced field and propagation studies on both radio system
range and market penetration. Then after defining the realistic
sufferable degradation of your network and understanding the implication
of the resulting demographics you may just begin to see the rocket.
Predicting the coverage area is a complex and critical task. Contrary to
your barber and broker’s best advice this in not plug and play
technology and not as simple as reading what the manufacturer says is
the maximum range. These numbers are usually under ideal conditions and
the most favorable of base station sites. In reality, you must look at
many factors.
- First you should consider the terrain or topography of the area
where you want to offer service. Hey, “I know this,” you say “higher
is better, line of sight, right?” The proper answer is, “Yes”, “No”,
“Maybe” and “it depends”. Hills, mountains, morphology, clutter,
time of year, weather and their proximal impact to your base station
and customer sites should be well defined. This can be a very
challenging, expensive and unnerving problem to solve, especially
after you have started to build your network and have live customers
on line.
- Second, the equipment to be used and its performance to cost
analysis. This needs to be considered for both the base station site
as well as the customer premise equipment (CPE). The combination and
performance of these will greatly affect both the footprint of your
site as well as the capital required to acquire each customer and
can change your ROI in a heartbeat.
- The third factor is demographics. Once you have the first two
well in hand, there are some interesting methods to integrate or
define the realistic range of your site, Geographic Information
Systems (GIS), Census data and equipment used. Once these layers
have been peeled back a study of the demographics of this area can
reveal information like population, number of households, income
level and wireless competitive market value analysis, existing
ISP’s, legacy and incumbent technologies. Having this data goes a
long way towards determining site viability based on your particular
business model. Now that’s a rocket! Scalpel!
Let’s look at each factor in more detail:
Terrain and Topography
Hills and mountains can be used to your advantage in a properly
designed system. They can isolate a whole group of customers focusing on
only those you wish to serve with a particular site. Since many WISP’s
operate in the unlicensed radio spectrum, frequency management is
critical. Not only do you have limited resources but you also have to
share it with all other part 15 devices (in the US). Using the terrain
to contain a signal to a limited area will allow you to reuse those same
frequencies in another area. This same technique can also help to
minimize the areas where you pick up interfering signals. Doing this in
conjunction with narrow beam directional antennas can keep your options
open for growth, expansion and spectrum mitigation in the future. You
may have to be creative and flexible when coexisting and managing your
allotted spectrum.

Image © 2004 by Wirelessmapping.com
Here is an example of a site that uses a mountain to block the signal
from going to the West. This is one technique for containing a signal to
a particular area and minimizing the direction from where you can
receive interference.
Equipment Selection
One key factor in designing a wireless broadband system is a balanced
path. Essentially that is to say that WiFi communication is a two way
street and data packets have to be exchanged in both directions. It is
not good for your base station site to broadcast over great distances if
your clients cannot talk back to it. The range of your system will be
limited to the talk back range of the client devices. If your business
plan relies on devices such as PCMCIA cards or built in radios such as
the Centrino laptops, you may have extremely short range and a limited
client base. If you plan to have maximum range and reach the most
customers possible, then you must consider incorporating CPE equipment
that employs some sort of outdoor antenna solution. There are many different sources and prices for CPE
equipment and it will vary based on the technology you chose for your
base station systems. Be sure that your solution is FCC type accepted as
a complete system, this includes the combination of radio and antenna.
Mixing and matching antennas and radios from different sources will not
always be a certified solution. The better performing units will have
the radio and antenna integrated on the customer unit or have the radio
located as close to the antenna as possible. This minimizes any feed
line loss between the radio and antenna and gets the most energy
possible over the air; this also applies to the received signal. Many
times an integrated unit will be powered via the Ethernet cable, this
makes an installation at your customer site easier since you won’t have
to drill big holes for the antenna line and you only have to worry about
an Ethernet cable. Units with the most antenna gain will help for those
clients located farthest away from the base unit to get a good link.
On the base station, proper antenna selection should be considered. Panel or sector antennas can be very
useful with the additional gain they offer and the directional pattern
they employ. With a directional pattern, you can point the signal where
you need it and isolate the directions from where you will receive
interference. To maintain a good
quality of service you want to have as much signal at both ends of a
link as possible, when the noise levels fluctuate, the customer still
maintains connectivity. Here are some examples of the differences to
expect based on CPE unit selection.

Image © 2004 by Wirelessmapping.com
This is an example of the coverage you can expect (shown in green) with
an outdoor 802.11 access point and antenna system using standard
wireless clients like PCMCIA cards.

Image © 2004 by Wirelessmapping.com
This is the same outdoor site with proper antenna selection. The difference shown is
the effect of having client units using outdoor antennas and having them
mounted in a fixed loaction near the roof. You can clearly see the increase in service
area.
The selection of CPE units can change your coverage area
a great deal affecting your financial forecast. It will add from $200 to
$500 in additional cost to each customer access point when outdoor
customer premise units are used. Additionally you must calculate
installation and customer support costs.
Basic Demographics
Of all the factors in choosing proper base site locations,
demographic data and its real world footprint should be well defined
considered and understood before proceeding with construction. Once the
range for a transmitter has been determined, knowing the population and
number of households within this area is crucial. Most individuals can
find basic demographic information about a particular city or town; the
problem with this data is that it rarely coincides with the smaller area
that the wireless transmitter covers. Producing demographic reports
specific to the coverage of the site arms business owners with the
information they need. The bottom line is you need to know if the market
has enough potential customers to support the new system. Being able to
show this same data will also help determine if the investment in
outdoor CPE terminals will increase the potential customer base enough
to warrant the expense. The chart below illustrates a sample of these
demographics for the coverage maps used in this article:
| Distance from Site |
Number of Households |
Broadband Penetration % |
Percent of Broadband Marketshare |
Potential # of Customers |
Population |
|
.5km |
491 |
50 |
15 |
36 |
938 |
|
3km |
1244 |
50 |
15 |
93 |
2496 |
This example assumes there are other broadband options
for consumers in the market. While the market share and broadband
penetration rates are estimates, you can easily adjust that data for
your market. The real key here is knowing the actual number of
households and population of the area you will be able to serve.
Conclusion
This article is not meant to cover every detail of proper site design
and analysis, especially in the area of radio frequency engineering. I
hoped to Increase your knowledge base as a high-end techno consumer, get
your arms around this leading edge technology, and understand that there
are many options to consider when deploying an outdoor wireless
broadband system. There are well defined tools and techniques that can
help you make smart choices about site selection and market conditions
before you expend capital and start construction. This should be welcome
news to investors and potential WISP entrepreneurs alike. Whether you
are building your own network or hiring outside consultants, securing
this data and truly understanding your real world market impact should
be the cornerstone of your business plan. If you don’t believe me, just
ask your broker and barber. Now how about that beautiful singing voice
of yours, can you hear me now….?
www.wirelessmapping.com
Broadband Market
Demographics
Less than 5% of towns in the US with a population of 10,000 or less
have access to broadband technology. High-speed (broadband) Internet
access in many rural locations and areas beyond the reach of Cable
and DSL (Digital Subscriber Line) is virtually unavailable. Current
broadband technologies are simply not being expanded to rural
populations because the costs associated with rapid expansion of
cabled high-speed access are exorbitant, and reliance on telecom
exchange carrier facilities slows infrastructure expansion. This
lack of connectivity in rural communities adds to a nation-wide
"digital divide", or a perceived gap between those who have current
broadband technology and those who do not.
US
Broadband Penetration 45.2% - US Internet Penetration Nearly 75% -
March 2004 Bandwidth Report
Overall, broadband grew by 2.14% in February, with 45.15% of
Internet-connected U.S. households enjoying a high-speed connection.
54.85% of US home users dial into the Internet with "narrowband"
connections of 56Kbps or less.* Nearly 75% of U.S. households have
Internet access at home, according to a Nielsen//NetRatings survey.
The charts below, derived from Nielsen//NetRatings, show trends in
connection speeds to the Internet for users in the United States.
Home Connectivity in the US
As of February 2004, most users in the US connect to the Internet
using dial-up modems of 56Kbps or less. 44.4% use 56Kbps modems,
7.6% use 28/33.3Kbps, and 2.9% use 14.4Kbps modems. In total, 54.85%
of home users in the US connect to the Internet at 56Kbps or less
(see Figure 1).

Figure 1:
Web Connection Speed Trends - Home Users (US)
Source: Nielsen//NetRatings
Broadband Growth in the US
Broadband penetration in US homes increased by 2.14% in February. As
of February 2004 broadband penetration was at 45.15%, up from 43.01%
in January. This is higher than the average increase in broadband of
.75% per month from October 1999 to December 2003. Extrapolating the
data provided by Nielsen//NetRatings, broadband share in the US
should exceed 50% by June of 2004 (see Figure 2).
Broadband Connection Speed Trend - Home Users (US)

Figure 2:
Broadband Connection Speed Trend - Home Users (US)
Extrapolated by Web Site Optimization, LLC from Nielsen//NetRatings
data.
Work Connectivity in the US
Most workers in the US enjoy high-speed connections to the Internet.
Most use a high-speed line such as a T1 connection, and share
bandwidth between computers connected to an Ethernet network. The
speed of each connection decreases as more employees hook up to the
LAN. As of February of 2004, of those connected to the Internet,
77.2% of US users at work enjoy a high-speed connection, up 2.1%
from 75.1% in January. 22.8% connect from work at 56Kbps or less
(see Figure 3). As more users get access to high-speed connectivity
at work, they desire the same performance for their home systems.
This also illustrates a large market potential for business class
customers. These are a longer sales cycle as most are under long
term contracts with their existing high-speed providers. They are
very interested in switching to services at the lower prices offered
by wireless carriers but typically don’t switch until they are out
of the obligated contract periods for the current services.

Figure 3:
Web Connection Speed Trends - Work Users (US)
Source: Nielsen//NetRatings
U.S. Internet Penetration Nearly 75%
Nearly three out of four U.S. households with a phone line have
access to the Internet, according to a February 2004 Nielsen//NetRatings
survey. In the United States, 204.3 million people have access to
the Internet, or 74.9 percent of the population. Internet access was
66% in February 2003, a nine-percentage point rise in one year.
For more information on these articles or to request maps for your
system go to
www.wirelessmapping.com. |