Ashtabula County

Here are concise, recent demographics for Ashtabula County, Ohio.

Population

• Total: 97,574 (2020 Decennial Census)
• ACS estimate: ~97,100 (2018–2022 ACS 5-year)

Age

• Median age: ~43 years
• Under 18: ~22%
• 18–64: ~60%
• 65 and over: ~18%

Sex

• Female: ~50.5%
• Male: ~49.5%

Race/ethnicity (ACS 2018–2022)

• White, non-Hispanic: ~87%
• Hispanic or Latino (any race): ~7–8%
• Black or African American: ~3%
• Two or more races: ~3–4%
• Asian: ~0.4%
• American Indian and Alaska Native: ~0.4%
• Native Hawaiian and Other Pacific Islander: ~0.0%

Households (ACS 2018–2022)

• Number of households: ~37,000
• Persons per household (avg): ~2.5
• Family households: ~63% of households
• Married-couple families: ~45–47% of households
• Households with children under 18: ~27%
• Homeownership rate: ~73–75%

Sources: U.S. Census Bureau, 2020 Decennial Census; 2018–2022 American Community Survey 5-year estimates (e.g., tables DP05, S0101, S1101, S2501). Figures are estimates and rounded.

Ashtabula County, OH — email usage snapshot (estimates)

• Estimated email users: ~65,000 adults (±5k). Method: ~76k adults (of ~97k residents) × ~85% email adoption, using Pew/US rural adoption benchmarks.
• Age adoption rates (approx.):
  • 18–29: ~95–98%
  • 30–49: ~95–97%
  • 50–64: ~90–93%
  • 65+: ~80–85%
• Gender split: Near parity; male vs. female differences typically <2 percentage points in national/rural data.
• Digital access trends:
  • Home broadband subscription: roughly 80–83% of households (ACS-style rural Ohio range).
  • Smartphone-only internet users: ~15–18% of households; higher in lower-income and rural blocks.
  • Daily email checking remains the norm among users; mobile is the primary access point for many.
• Local density/connectivity facts:
  • Population ~97k spread over ~700 square miles (≈135–140 residents/sq. mi.), making it Ohio’s largest county by land area and less dense than the state average—factors linked to patchier fixed-broadband coverage.
  • Better wired service clusters around lakeshore cities (Ashtabula, Conneaut, Geneva); more gaps inland where DSL/fixed wireless are common. Ongoing state/federal fiber builds are expanding coverage.

Notes: Figures are modeled from Census/ACS and Pew rural email/internet patterns; use for planning, not compliance reporting.

Ashtabula County, OH: mobile phone usage snapshot (with county-specific differences vs Ohio overall)

Topline user estimates (modeled from public benchmarks, county demographics, and rural adoption patterns)

• Adult population base: ~75–78k residents age 18+ (out of ~95–97k total).
• Mobile phone users (any mobile): ~70–73k adults (about 92–95% of adults). Slightly below Ohio’s ~95–97%.
• Smartphone users: ~60–65k adults (about 80–85% of adults). 3–7 points lower than Ohio’s average, reflecting older age structure and lower incomes.
• Mobile-only internet households (rely primarily on cellular data rather than wireline at home): estimated 18–22% of households, above the Ohio average (~12–15%).
• Prepaid/MVNO share: materially higher than statewide. Estimated 30–40% of lines vs ~20–25% in Ohio, driven by price sensitivity and credit constraints.

Demographic and usage patterns that differ from the state

• Older population mix: A larger 55+ and 65+ share than Ohio overall depresses smartphone penetration and keeps a noticeable niche for basic/entry smartphones; upgrade cycles are longer.
• Income and affordability: Median household income trails the state, pushing higher uptake of prepaid/MVNO brands (Straight Talk/Tracfone, Cricket, Metro) and budget Android devices. Family plans skew smaller; BYOD is common.
• Work and lifestyle: Manufacturing, agriculture, and logistics workers rely heavily on voice/SMS and coverage along commute corridors (I‑90, SR‑11, US‑20) and at job sites. Peak seasonal demand around Geneva‑on‑the‑Lake, wineries, marinas, and campgrounds produces localized congestion in summer—more pronounced than statewide averages.
• Mobile as a broadband fallback: Because wireline broadband is patchier in rural townships than the Ohio norm, a higher share of households lean on mobile data or fixed‑wireless (LTE/5G home internet) as primary or backup service.
• Platform mix: Android share likely higher than the state average, reflecting device cost considerations; installment financing adoption is lower.

Digital infrastructure and coverage (county highlights)

• Macro coverage
  • Verizon: historically the strongest rural footprint and in‑building reliability across townships; generally best along SR‑11 and interior rural roads.
  • AT&T: solid along I‑90/lakeshore cities (Ashtabula, Conneaut, Geneva) and main corridors; coverage thins in some southern/eastern townships.
  • T‑Mobile: substantial improvements from 600 MHz buildout; good along I‑90 and population centers, but building penetration and deep‑rural gaps remain more common than with Verizon.
• 5G availability
  • Low‑band 5G covers I‑90, US‑20/lakeshore communities, and the SR‑11 spine. Mid‑band (C‑band/n77 for Verizon/AT&T; n41 for T‑Mobile) is present in and around higher‑density zones and highway interchanges; coverage drops in sparsely populated townships where LTE remains primary.
• Capacity pinch points (seasonal and geographic)
  • Summer events at Geneva‑on‑the‑Lake, beaches, state parks, and marinas; fairgrounds and weekend winery traffic; lakeshore festivals. Localized slowdowns are more common than the statewide average due to sharp seasonal surges.
• Fixed broadband interplay
  • Charter/Spectrum and a patchwork of incumbents/independents cover cities and villages; rural gaps persist, especially south and southeast of SR‑11. As a result, T‑Mobile and Verizon fixed‑wireless home internet have notable uptake along highway corridors and town centers but are less available in deep‑rural pockets.
  • BEAD/state broadband projects are expected to expand fiber in underserved tracts through the mid‑to‑late 2020s; until then, mobile networks shoulder a larger share of “last‑mile” connectivity than is typical statewide.
• Roaming/interference notes
  • Along the Lake Erie shoreline, occasional cross‑lake interference/roaming anomalies can occur in fringe conditions—more a North Coast issue than a statewide norm.

What’s most different from Ohio overall

• Lower smartphone adoption and higher reliance on basic/entry devices, driven by older age and income mix.
• A larger prepaid/MVNO footprint and greater price sensitivity.
• Higher share of mobile‑only or mobile‑primary internet use due to patchier rural wireline options.
• More pronounced seasonal demand spikes along the lakeshore that stress capacity.
• 5G mid‑band depth is improving but remains more corridor‑centric; rural interior lags the statewide experience.

Notes on confidence and data

• Figures are estimates synthesized from national/state adoption benchmarks (e.g., Pew/ACS/CPS patterns), rural vs urban deltas, and county demographics. For a hard-number validation, combine: ACS S2801 (device/subscription by county), FCC National Broadband Map (coverage and technology), carrier 5G/C‑band disclosures, and local broadband grant filings from BroadbandOhio/NTIA.

Ashtabula County, OH — social media snapshot (estimates for 2025)

Topline

• Population: ~97,000; age 13+: ~84,000
• Active social media users: ~60,000–65,000 (about 62–68% of total population; roughly 70–78% of 13+)
• Household internet access: solid but not universal; rural pockets lag broadband

Age profile (adoption and share of user base; estimates)

• 13–17: 90%+ use; about 10–12% of local social users
• 18–29: 85–90% use; 22–25% of users
• 30–49: 80–85% use; 32–36% of users
• 50–64: 65–70% use; 18–22% of users
• 65+: 45–55% use; 10–14% of users

Gender breakdown (among active users; estimates)

• Overall: ~53–55% women, ~45–47% men
• Platform skews: Pinterest, TikTok, Instagram lean female; YouTube, X, Reddit lean male; Facebook slightly female-leaning

Most-used platforms (share of local social users who use each at least monthly; estimates)

• YouTube: 80–85%
• Facebook: 72–78%
• Facebook Messenger: 55–65%
• Instagram: 40–45%
• TikTok: 35–40%
• Snapchat: 25–30% (heaviest among teens/20s)
• Pinterest: 28–32% (majority female)
• WhatsApp: 15–20% (family/ethnic ties, travel workers)
• X/Twitter: 12–15% (sports, news alerts)
• LinkedIn: 14–18% (lower white‑collar density keeps this modest)
• Reddit: 12–15% (hobby, gaming, tech)
• Nextdoor: 5–8% (Facebook Groups fill the “neighborhood” niche)

Behavioral trends to know

• Facebook Groups are the local hub: school sports, road conditions/lake‑effect snow, school closings, county services, church/fundraisers, lost & found, buy/sell/trade, and local jobs.
• Marketplace matters: heavy use for vehicles, tools, farm/ranch, outdoor gear, and household items; fast responses via Messenger expected.
• Video-first consumption: short vertical clips (Reels/TikTok) for events, food, wineries, county fair; YouTube for how‑to, auto/tractor repair, fishing/hunting, home projects.
• Seasonal spikes: spring potholes/road updates; summer lake/winery/tourism; fall harvest/hunting/leaf peeping; winter storm and closure updates.
• Trust and word‑of‑mouth: recommendations in local groups often outperform formal reviews; admins/moderators are influential.
• News flow is hyperlocal: city/county pages, schools, first responders; misinformation can circulate in closed groups—authoritative updates perform well when timely and visual.
• Timing: engagement peaks 6–8 a.m., lunch, and 7–9 p.m.; storms and school announcements drive surges.
• Younger users split time across TikTok/Snap/IG; older adults are Facebook‑centric but increasingly watch Reels/shorts.

Notes

• County‑level platform stats aren’t directly published; figures above are reasoned estimates using national/rural patterns, platform reach norms, and local demographics. Adjustments for specific towns or audiences can refine these numbers.