Green County

Green County, Wisconsin — key demographics

Population size

• 37,093 residents (2020 Decennial Census)

Age

• Median age: ~43 years
• Under 18: ~22%
• 65 and over: ~20%

Gender

• Female: ~50%
• Male: ~50%

Racial/ethnic composition (shares may not sum to 100 due to ethnicity overlap)

• White alone: ~91%
• Black or African American alone: ~0.5%
• Asian alone: ~0.6%
• American Indian/Alaska Native alone: ~0.3%
• Two or more races: ~5–6%
• Hispanic or Latino (of any race): ~6%
• White, non-Hispanic: ~88–89%

Households

• Total households: ~15,300
• Average household size: ~2.4
• Family households: ~62% of households; average family size ~2.9
• Married-couple households: ~51%
• Households with children under 18: ~27%
• Nonfamily households: ~38%; one-person households: ~31%
• Owner-occupied housing rate: ~74%

Insights

• Stable, modestly growing population with an older age profile (median age ~43; roughly 1 in 5 residents are 65+).
• Predominantly White, with a small but growing Hispanic/Latino population.
• Household structure is family- and owner-occupied–oriented, with just under one-third living alone.

Sources: U.S. Census Bureau, 2020 Decennial Census; American Community Survey 5-year estimates (most recent).

Green County, WI (population ~36,900; density ≈63 people/sq mi) has an estimated 28,100 email users (≈76% of all residents, ≈94% of adults), modeled from Census age structure and national email-adoption benchmarks.

Age distribution of email users (share of users):

• 13–17: ~7%
• 18–34: ~23%
• 35–54: ~32%
• 55–64: ~16%
• 65+: ~23%

Gender split mirrors the population: ≈50% female, ≈50% male.

Digital access and connectivity:

• Approximately 82–84% of households maintain a broadband subscription; about 10–12% have no home internet, with gaps concentrated in rural townships.
• Household computer access exceeds 90%; smartphone reliance continues to rise, reinforcing always‑on email use.
• Connectivity is strongest in Monroe and Brodhead and along main travel corridors; speeds and reliability taper on outlying farm roads, shaping access for older and lower‑income residents.

Insights:

• Email is effectively universal among working‑age adults and a majority of seniors.
• Engagement and deliverability are highest in population centers; rural last‑mile constraints can delay access.
• Lists targeting 35–54 and 18–34 cohorts capture over half of local email users; accessibility considerations improve reach among 65+.

Mobile phone usage in Green County, Wisconsin — 2025 snapshot

Context and population

• Population: about 37,000–38,000 residents; roughly 15,500–16,000 households. Monroe is the primary population center, with New Glarus and Brodhead as secondary hubs.
• Demographics: median age 43 (older than Wisconsin overall, ~40). Residents 65+ account for about 20–22% (state ~18–19%). Racial/ethnic composition is predominantly non-Hispanic White (92–93%), with Hispanic/Latino ~4–5%, and other groups making up the remainder.

User estimates and adoption

• Total smartphone users: about 25,500 (±1,500), including teens, equal to roughly 68–71% of the total population.
• Adult smartphone penetration: ~81% (Wisconsin overall ~85–87%). The gap is primarily age-driven.
• Any mobile phone (smartphone or basic) among adults: ~92–94% (state ~95–96%).
• Wireless-only voice (no landline): ~70–72% of adults live in wireless-only households (state ~75–78%).
• Households with a cellular data plan: ~68–72% (state ~74–78%).
• Mobile-only home internet (households relying primarily on cellular, no fixed broadband): ~12–14% of households, about 1,900–2,200 homes (state ~8–10%).

Demographic breakdown of mobile adoption (local estimates)

• Ages 18–29: ~94–96% smartphone adoption.
• Ages 30–49: ~88–92%.
• Ages 50–64: ~78–82%.
• Ages 65+: ~58–62% (state typically several points higher). The older age profile in Green County is the main factor pulling overall smartphone penetration below the state average.
• Income: Median household income is modestly below the state median. Smartphone adoption among <$35k households is lower (72–78%) than in $75k+ households (92–95%). The county’s adoption gap versus the state is more age- than income-related.

Digital infrastructure and coverage

• Carriers present: AT&T (including FirstNet), Verizon, T-Mobile, and UScellular operate countywide.
• 4G/LTE: Broad highway and town coverage with rural dead zones persisting in low-lying and hilly areas, especially south/west of New Glarus and between the smaller townships and farm areas.
• 5G availability:
  • Any-5G population coverage: roughly 60–70% (statewide >80%), with low-band covering the widest area but offering LTE-like speeds.
  • Mid-band 5G: about 30–40% of residents, concentrated in and around Monroe and along primary corridors (Hwy 11, 59, 69, 81) and toward Dane County. Coverage is notably thinner than in Madison/Milwaukee metros.
• Tower and capacity profile: Dozens of macro sites; limited small-cell deployment outside Monroe/Brodhead. Backhaul is a mix of fiber and microwave, with fiber clustering along Monroe–Brodhead and toward Dane County. Some rural sectors are capacity-constrained during peaks, affecting video and hotspot use.
• Public/civic connectivity: Libraries and schools in Monroe, New Glarus, and Brodhead provide dependable Wi‑Fi and device support, which reduces mobile data load in town centers. FirstNet coverage is emphasized along main corridors and in Monroe for public safety.

Trends that differ from the Wisconsin average

• Adoption level: Countywide adult smartphone adoption runs 3–6 percentage points lower than the state, largely due to a higher share of older residents.
• Connectivity mix: Mobile-only home internet use is 3–5 points higher than the state, reflecting patchier fixed-broadband options in outlying areas and greater reliance on phone hotspots.
• Coverage variability: Service quality fluctuates more with micro‑terrain than in urban counties. Indoor coverage issues are more common in farmhouses/outbuildings, driving carrier-by-carrier performance differences.
• Network choice sensitivity: UScellular and Verizon tend to perform better in sparsely populated stretches, while T-Mobile’s mid-band 5G advantages are concentrated around Monroe and commuter corridors; this carrier divergence is more pronounced than in metro counties.
• 5G rollout tempo: Mid-band 5G coverage is expanding but lags the state’s metro areas; upgrades cluster along commuter routes toward Dane County rather than evenly across rural zones.
• Usage behaviors: A higher share of households tethers for work/learning where wired options are weak; older users place more emphasis on voice/SMS reliability and less on heavy mobile video, reinforcing the county’s lower overall mobile data consumption compared to state urban counties.

Key takeaways (definitive figures and bounded estimates)

• Residents: ~37–38k; households: ~15.5–16k; median age ~43.
• Adult smartphone penetration: ~81% (state ~85–87%).
• Total smartphone users (including teens): ~25.5k (±1.5k).
• Wireless-only households (voice): ~70–72% of adults (state ~75–78%).
• Households with a cellular data plan: ~68–72% (state ~74–78%).
• Mobile-only home internet: ~12–14% of households, roughly 2,000 homes (state ~8–10%).
• 5G coverage: ~60–70% any-5G; ~30–40% mid-band 5G, focused on Monroe/Brodhead and highways, versus wider mid-band footprints in Wisconsin metros.

Notes on sources and method

• Estimates synthesize 2020 Census and recent ACS demographic profiles for Green County, Pew Research Center smartphone adoption by age (2023), and FCC-reported carrier coverage patterns through 2024. Figures are rounded to reflect county-scale uncertainty while keeping differences versus the state clear and decision-useful.

Green County, WI — social media usage snapshot (modeled 2025 estimate)

Scope and method

• Figures are county-level estimates derived from Pew Research Center’s 2023 U.S. social media adoption rates, adjusted for Green County’s older-leaning age mix (U.S. Census Bureau, 2020–2023 ACS). Percentages refer to adults (18+). Rounded to whole numbers.

Overall penetration

• Adults using at least one social platform: ~70%

Most-used platforms (share of adults who use the platform at least occasionally)

• YouTube: ~80%
• Facebook: ~71%
• Instagram: ~40%
• TikTok: ~28%
• Snapchat: ~25%
• Pinterest: ~28%
• LinkedIn: ~22%
• X (Twitter): ~20%
• Reddit: ~15%

Age profile of local social media users (share of total users)

• 18–29: ~20%
• 30–49: ~39%
• 50–64: ~27%
• 65+: ~14%

Gender breakdown

• Overall user base: ~52% women, ~48% men
• Platform skews (directional): Facebook and Instagram lean slightly female; Pinterest strongly female; TikTok and Snapchat lean female; YouTube, Reddit, LinkedIn lean male

Behavioral trends observed in similar rural Wisconsin counties and expected locally

• Community-first usage: Heavy reliance on Facebook Groups and Marketplace for local news, school/municipal updates, buy–sell–trade, and events
• Video as default: YouTube dominates for how‑to, home improvement, ag/DIY, and product research; short-form video (Reels/TikTok) is rising for discovery among under‑35s
• Younger cohorts split attention: 18–29s cluster on Instagram, TikTok, and Snapchat for daily engagement; Facebook still used for logistics and family ties
• Older cohorts stay on Facebook/YouTube: 50+ primarily engage via Facebook feeds/groups and long-form YouTube; lower adoption of TikTok/Snapchat
• Local business discovery: Restaurants, retail, and services see the most organic discovery via Facebook and Instagram; Reels perform better than static posts for reach
• Messaging habits: Facebook Messenger is ubiquitous; WhatsApp usage is modest; Snapchat serves as a messaging layer for teens/young adults more than a content feed
• Trust and locality: Content with clear local relevance (weather impacts, school activities, county events, deals) outperforms generic brand posts

Notes

• These are best-available, county-tailored estimates built from Pew Research Center’s Social Media Use (2023) benchmarks and Green County’s demographic profile (U.S. Census Bureau). For campaign planning or media buying, validate with platform audience tools (Meta/Google) and local page/group insights.