Cannon County

To ensure I give you the most accurate figures, do you prefer:

• 2020 Decennial Census counts (exact, but older), or
• Latest ACS 5-year estimates (2019–2023) for Cannon County (more current, modeled estimates)?

Also, for “household data,” do you want just number of households and average household size, or should I include family vs. nonfamily, presence of children, and homeownership rates?

Cannon County, TN snapshot (estimates)

• Population and density: ~15,000 residents; ~55 people per square mile (rural). Woodbury is the main hub.
• Estimated email users: ~10,000–12,000 residents use email regularly, driven by near‑universal adoption among online adults (Pew) and ~70–80% of households reporting a broadband subscription (ACS S2801).
• Age distribution of email users (share of users):
  • Under 18: ~12–15% (school accounts/common)
  • 18–34: ~22–25%
  • 35–54: ~30–32%
  • 55–64: ~13–15%
  • 65+: ~15–18% (rising adoption, but below younger cohorts)
• Gender split among users: roughly even (≈49–51% male/female), mirroring population and national email usage parity.
• Digital access trends:
  • Broadband subscription is high but not universal; meaningful smartphone‑only internet use in rural households.
  • Public access (library/schools) supplements connectivity for some residents.
  • Ongoing fiber builds by local providers (e.g., DTC Communications cooperative) and state/federal grants are reducing unserved pockets; areas outside Woodbury still show gaps on the FCC National Broadband Map.
• Takeaway: Email is a staple for adults countywide, with strongest use in working‑age groups; access continues to improve as fiber expands, but rural last‑mile gaps persist.

Summary: Mobile phone usage in Cannon County, Tennessee

Scope note: Figures below are estimates modeled from 2020–2023 Census/ACS population, rural mobile adoption research (e.g., Pew), and typical rural network deployments in Middle Tennessee. Use for planning-level insight; validate locally for precise counts.

User estimates

• Population base: ~15,000 residents; ~11,000–11,500 adults (18+).
• Adult smartphone users: 9,200–9,700 (about 82–86% of adults), a few points below Tennessee’s ~88–90%.
• Total mobile phone users (all ages, smartphones + basic phones): 11,000–12,500 (roughly 73–83% of residents).
• Mobile-only internet households (no home broadband, rely on cellular/hotspot): 1,300–1,700 households (about 22–30%), several points higher than the statewide average.
• Device replacement cycle: typically 3–4 years in the county vs 2–3 years in more urban parts of the state.

Demographic patterns vs state averages

• Age: Older tilt than Tennessee overall. Among 65+, smartphone take-up is lower (~60–70% vs ~75–80% statewide), contributing most to the adoption gap.
• Income: Lower median household income than the state; higher reliance on prepaid/MVNO plans (about 35–45% of lines vs ~25–30% statewide).
• Platform mix: More Android-heavy than the state (roughly 60–70% Android vs 30–40% iOS), reflecting price sensitivity and longer device retention.
• Education and work: Smaller share of remote/hybrid workers than urban Tennessee; mobile data use is more utility-focused (navigation, messaging, Facebook/Marketplace, short-form video) and less continuous streaming than in metro areas.

Digital infrastructure highlights

• Macro coverage: 4G LTE is strong along US 70S and in/around Woodbury; signal quality drops in hollows and ridgelines off the main corridors.
• 5G footprint: Low-band 5G from national carriers is present, but mid-band/high-capacity 5G (e.g., n41/C-band) is mostly limited to Woodbury/US 70S and a few sites; rural sectors remain LTE-first. This yields bigger urban–rural speed gaps than the state average.
• Capacity and congestion: Evening and weekend congestion are more pronounced near schools, the courthouse square, and event venues due to limited sector density versus user load.
• Backhaul: Mix of fiber and microwave; where fiber backhaul is absent, peak speeds plateau and latency spikes more than in fiber-fed urban Tennessee cells.
• Public safety: FirstNet/priority coverage upgrades have improved AT&T reliability on key routes, but off-corridor in-building coverage still lags.
• Fixed-broadband interplay: Local fiber co-ops and regional providers serve parts of the county; coverage is patchy compared with metro TN. Where fiber isn’t available, households lean on mobile hotspots, driving the above-state share of mobile-only internet.

Distinct trends versus Tennessee overall

• Adoption gap concentrated in seniors and low-income users; younger adults are near-par with state averages.
• Higher prepaid/MVNO penetration and Android share.
• More households are mobile-only for home internet; greater reliance on hotspotting.
• Larger urban–rural performance gap: county speeds and uplink reliability lag state averages due to fewer mid-band 5G nodes and sparser fiber backhaul.
• Longer device lifecycles and slower uptake of premium 5G plans/features.
• Coverage highly corridor-dependent; dead zones off main roads are more common than statewide norms.

Implications for planning

• Closing gaps depends more on mid-band 5G infill and fiber backhaul to existing towers than on additional low-band coverage.
• Targeted device/plan subsidies for seniors and low-income users would move adoption fastest.
• Public Wi‑Fi and in-building cellular solutions (repeaters, Wi‑Fi calling education) can mitigate off-corridor weak spots in the near term.

Cannon County, TN social media snapshot (modeled 2025)

User stats

• Population ~14,500; adults 18+ ~11,300
• Monthly social media users (13+): ~8,500–9,500
• Daily users: ~5,500–6,500

Age mix of social users (share of user base)

• 13–17: ~10–12%
• 18–29: ~18–22%
• 30–44: ~26–30%
• 45–64: ~26–30%
• 65+: ~12–16%

Gender

• Overall social users: ~52–55% women, ~45–48% men
• Platform skews: Pinterest and Facebook skew female; YouTube and Reddit skew male; Instagram/TikTok slightly female-leaning; Snapchat female-leaning among teens/young adults

Most-used platforms (adults 18+, at least monthly; modeled ranges)

• YouTube: ~78–84%
• Facebook: ~65–72%
• Instagram: ~35–45%
• Pinterest: ~30–38% (heavily women 25–54)
• TikTok: ~25–35% (very high among teens/18–29)
• Snapchat: ~20–28% (dominant in 13–24)
• X/Twitter: ~18–24% (news/sports watchers)
• WhatsApp: ~12–18% (smaller given local demographics)
• Reddit: ~12–18%
• Nextdoor: ~5–10% (limited coverage in rural areas)

Behavioral trends

• Community-first: Heavy use of Facebook Groups (buy/sell/trade, yard sales, churches, school/athletics, county alerts). Marketplace is a key commerce channel.
• Video preference: Short, vertical video performs best; YouTube for how‑to, weather, farm/DIY, and sports highlights.
• Information flows: Schools, churches, teams, and local businesses rely on Facebook pages + Groups; private sharing via Messenger, SMS group chats, and Snapchat is common.
• Timing: Peaks around 6–8am, lunchtime, and 7–10pm; spikes during storms, school closings, and local events.
• Content that travels: Practical info, local faces, event reminders, giveaways, high school sports, hunting/outdoors, and local news. Overt politics draws engagement near elections; otherwise interest is more local/practical.
• Device reality: Mobile-first; some bandwidth constraints favor shorter clips and image posts.

Notes on method

• Figures are modeled from Pew Research Center’s 2024 U.S. platform usage by age and community type, adjusted to Cannon County’s demographics (U.S. Census) and typical rural adoption patterns. Exact county-level platform stats are not officially reported; ranges reflect that uncertainty.