POLK COUNTY BROADBAND PLAN
Table 4. Data for Broadband Planning
Data
Source
Data Utilization
• Socioeconomic data (age,
race, income, education,
employment)
• U.S. Census Bureau
• Bureau of Labor Statistics
• Bureau of Economic and
Business Research
Data will be used to gain an
understanding of the general
socioeconomic characteristics
of the region in order to
provide background for the
broadband planning project.
• Business and population
growth projections
• Local/regional planning
agencies/departments
• Bureau of Economic and
Business Research
Projected future business and
population growth will be a
factor in estimating future
broadband needs.
• Future Land Use
• Local governments
• Regional Planning Councils
Used to project future
broadband needs; can be
included in a land-use-based
broadband demand model.
• Community Anchor
Institutions, employment
clusters, and target
industries
• Local/regional planning
agencies/departments
• Economic development
organizations
• Regional Planning Councils
Community Anchor
Institutions, employment
clusters, and target industries
are the region’s main largescale current and future
broadband users. Identifying
them will be helpful for the
assessment of current and
future broadband needs.
• Broadband assets
inventory (wireline,
wireless, vertical assets,
providers, public-owned
spectrums, policies and
regulations, funding
opportunities)
• Broadband Florida
• National Broadband Map
project
• Local broadband providers
• Local government entities
(school boards, etc.)
The region’s existing
broadband assets form the
core network on which to
build future broadband
infrastructure. Reviewing these
assets is an important step in
defining broadband planning
resources and strategies.
• Broadband utilization/
penetration data
(residential and nonresidential) (speeds,
applications, cost)
• Future broadband needs
(residential and nonresidential)
• Surveys
• Focused discussions/
interviews
• Public workshops
• Economic development
groups
• Federal Communication
Commission
Current utilization and
penetration data and
projections of future utilization
will be used to identify
appropriate strategies for the
planning project.
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