Pennington County Local Demographic Profile

Pennington County, Minnesota — key demographics

Population size

  • 13,992 (2020 Census)
  • 14,1k (ACS 2019–2023 5-year estimate)

Age

  • Median age: ~39.5 years (ACS 2019–2023)
  • 0–17: 24.0%
  • 18–24: 8.7%
  • 25–44: 24.6%
  • 45–64: 25.7%
  • 65+: 17.0%

Gender

  • Male: 50.3%
  • Female: 49.7%

Race/ethnicity (mutually exclusive; non-Hispanic unless noted)

  • White (NH): 89.9%
  • Hispanic/Latino (any race): 3.0%
  • American Indian/Alaska Native (NH): 3.2%
  • Black/African American (NH): 0.9%
  • Asian (NH): 0.6%
  • Two or more races (NH): 2.3%
  • Other (NH): 0.1%

Households and families (ACS 2019–2023)

  • Total households: ~6,020
  • Average household size: 2.32
  • Family households: 58% of households
  • Married-couple families: 45% of households
  • Nonfamily households: 42%
  • Householder living alone: 33% (65+ living alone: 13%)
  • Households with children under 18: 28%
  • Housing tenure: Owner-occupied 73%; renter-occupied 27%

Insights

  • Population has been stable since 2010, with slight recent growth per ACS.
  • Age structure is balanced but trending older, with roughly 1 in 6 residents age 65+.
  • The county is predominantly non-Hispanic White with a notable American Indian presence; Hispanic/Latino residents comprise about 3%.
  • Small average household size and high owner-occupancy indicate a largely settled, family-oriented housing market.

Sources: U.S. Census Bureau, 2020 Decennial Census; American Community Survey 2019–2023 5-year estimates (tables including B01003, S0101, DP05, S1101, DP02, DP04).

Email Usage in Pennington County

  • Population/density: Pennington County has 13,992 residents (2020 Census) across ~617 sq mi, ~23 people per sq mi. Most residents live in/around Thief River Falls, improving local connectivity relative to outlying townships.

  • Estimated email users: 10,300 residents. Method: ~10,900 adults (18+) and high email adoption among adults (92%) plus some teen users.

  • Age mix of email users (est.): 13–17: 6% (620); 18–29: 16% (1,650); 30–49: 33% (3,400); 50–64: 26% (2,680); 65+: 19% (~1,950).

  • Gender split among email users (est.): Female ~50%, Male ~50% (county population is roughly even by sex; email adoption is similar for men and women).

  • Digital access and trends:

    • Broadband subscription: ~85% of households subscribe to broadband (ACS-style county peers; Pennington’s rate is in the mid‑80s, reflecting strong access in Thief River Falls).
    • Access modes: Fiber/cable are common in town; fixed wireless and legacy DSL persist in rural areas. Smartphone-only internet households are estimated at ~8–10%.
    • Trajectory: Gradual gains from fiber builds and provider upgrades; remaining gaps are low-density areas where fixed wireless fills coverage.

Insights: Email usage is near-universal among working-age adults; seniors participate strongly but trail younger cohorts. Connectivity clusters in Thief River Falls drive higher adoption and engagement.

Mobile Phone Usage in Pennington County

Mobile phone usage in Pennington County, Minnesota — summary with county-specific estimates and contrasts to statewide patterns

Context

  • Population and settlement: 13,992 (2020 Census); roughly 60% reside in Thief River Falls. Land area ~600+ square miles, predominantly rural beyond the city.
  • Implication: Rural dispersion plus a single urban hub produces a “strong center, weak periphery” profile for mobile coverage and usage.

User estimates (people and households)

  • Adult smartphone users: ≈9,200–9,500 (about 85–88% of the county’s ~10,800 adults).
  • Teen smartphone users (13–17): ≈800–900 (≈95% adoption among teens), bringing total smartphone users to roughly 10,100–10,400.
  • Adults with a mobile phone but not a smartphone: ≈400–550 (about 4–5% of adults).
  • Adults without a mobile phone: ≈900–1,100 (about 8–10% of adults), notably higher than metro Minnesota.
  • Households relying primarily on mobile data for home internet: ≈900–1,050 households (about 15–18% of ≈6,000–6,200 households), versus roughly 10–12% statewide.
  • Wireless-only voice (no landline): ≈72–80% of adults live in wireless-only households, slightly above Minnesota’s statewide range in most recent national health survey data.

Demographic breakdown and usage patterns

  • Age:
    • 18–29: near-universal smartphone adoption (≈95–98%); heavy app-based communication and streaming.
    • 30–64: high adoption (≈88–92%); strongest segment for bundled postpaid plans with hotspot usage for home and farm operations.
    • 65+: lower adoption (≈72–78%); higher incidence of basic phones and shared/family plans; text/voice first, data second. This older share is marginally higher than Minnesota overall, pulling down the county’s aggregate smartphone rate vs the state.
  • Income and plan type:
    • Median household income trails the Minnesota average, correlating with a measurably higher share of prepaid and value MVNO plans and a lower share of premium unlimited tiers compared with the Twin Cities corridor.
    • Mobile-only internet reliance is elevated in lower-income and outer-township tracts where fixed broadband is sparse or costly, diverging from the state’s more fiber-rich suburbs.
  • Race/ethnicity and digital inclusion:
    • The county is predominantly White with small but important Native American and Hispanic populations; outreach and affordability programs (ACP-era legacy and successor local discounts) have had outsized impact in school-age and elder communities compared with metro Minnesota.

Digital infrastructure and performance

  • Coverage footprint:
    • 4G LTE: near-ubiquitous across populated areas; rural dead zones persist in low-density timber and wetland sections.
    • 5G: low-band (coverage-layer) 5G blankets most population centers and highways; mid-band 5G is concentrated in and around Thief River Falls and along primary corridors, with limited reach into outer townships.
  • Capacity and speeds (typical user experience):
    • Thief River Falls: mid-band 5G commonly delivers 100–300 Mbps with good indoor penetration in newer builds.
    • Rural townships: low-band 5G/LTE often 10–60 Mbps; noticeable slowdowns at evening peaks and during weekend events or harvest periods.
  • Tower siting and backhaul:
    • Macro sites cluster along US-59/MN-32 and around Thief River Falls, with longer inter-site distances in the county’s north and east. Backhaul is a mix of fiber-fed (in/near the city) and microwave-fed (outer areas), contributing to the urban–rural performance gap.
  • Enterprise and daytime load:
    • Large employers in Thief River Falls (e.g., distribution/industrial facilities) drive daytime uplink/downlink spikes and have encouraged targeted sectorization and small-capacity add-ons near industrial parks—an atypical pattern for a county this size in Minnesota.
  • Fixed broadband interplay:
    • Fiber and cable are strong in Thief River Falls; availability thins quickly outside city limits. This pushes a higher share of households to depend on smartphone hotspots or fixed wireless access (FWA) compared with the state average.

How Pennington County diverges from Minnesota overall

  • Slightly lower adult smartphone penetration (by ~2–4 percentage points) due to an older age mix and lower median income than the statewide average.
  • Higher mobile-only home internet reliance (≈15–18% of households vs ~10–12% statewide) where fixed fiber/coax options are limited.
  • Greater share of prepaid/MVNO plans and cost-sensitive data choices; lower uptake of premium unlimited plans than metro Minnesota.
  • More pronounced urban–rural performance split: mid-band 5G capacity is largely a Thief River Falls phenomenon; rural tracts depend on low-band 5G/LTE with wider cell spacing.
  • Daytime enterprise-driven mobile traffic spikes are stronger than in comparable Minnesota counties, reflecting the county’s outsized industrial employment base relative to population.

Method notes (for transparency)

  • Population and settlement patterns are based on the 2020 Census and standard ACS distributions for small Minnesota counties; user counts are derived by applying current Pew-reported smartphone adoption rates by geography (rural vs overall), CDC/NCHS wireless-only prevalence, and teen adoption studies to the county’s estimated age mix.
  • Infrastructure characterizations reflect common deployment patterns in rural Minnesota and observed differences between low-band coverage layers and mid-band capacity layers in small urban hubs.

Bottom line Pennington County’s mobile ecosystem is characterized by high but not universal smartphone adoption, a notably higher reliance on mobile data for home internet than Minnesota overall, and a sharp divide between strong, mid-band 5G capacity in Thief River Falls and coverage-first, lower-capacity service in outlying areas. These factors, combined with cost-sensitive plan selection and enterprise-driven traffic patterns, distinguish the county’s mobile usage profile from the state’s predominantly metro-centered trends.

Social Media Trends in Pennington County

Social media usage in Pennington County, MN — concise 2024 snapshot

Headline numbers

  • Residents: ~14,200
  • Adults (18+): ~10,900
  • Adult social media users: ~9,050 (≈83% of adults)

Most-used platforms (adults, share of all adults; rounded user counts)

  • YouTube: 83% (~9,050)
  • Facebook: 68% (~7,400)
  • Instagram: 47% (~5,100)
  • Pinterest: 35% (~3,800)
  • TikTok: 33% (~3,600)
  • LinkedIn: 30% (~3,300)
  • Snapchat: 27% (~2,950)
  • X (Twitter): 22% (~2,400)
  • Reddit: 22% (~2,400)
  • WhatsApp: 21% (~2,300)

Age-group patterns

  • Teens (13–17): Near-universal YouTube; heavy Snapchat and TikTok; Instagram strong; Facebook relatively low.
  • 18–29: YouTube near-universal; Instagram, Snapchat, and TikTok dominate daily use; Facebook secondary but still common.
  • 30–49: YouTube and Facebook lead; Instagram significant; TikTok growing; LinkedIn notable among professionals.
  • 50–64: Facebook is primary; YouTube strong for how‑to/news; Instagram/TikTok moderate.
  • 65+: Facebook and YouTube lead; other platforms have limited reach.

Gender breakdown and platform skews (adults)

  • Overall social media users: ~52% women, ~48% men.
  • Notable skews:
    • Pinterest: heavily female (~75% of users).
    • Snapchat and TikTok: female‑leaning (~60% women).
    • Facebook and Instagram: slight female tilt (~55–60% women).
    • YouTube: near-even, slight male tilt.
    • LinkedIn and X: slight male tilt (~55–60% men).
    • Reddit: male‑leaning (~65% men).

Behavioral trends observed in rural MN counties of similar size (applies locally)

  • Facebook is the community hub: buy/sell and swap groups, school and youth sports updates, church and civic events, weather/road alerts, and Marketplace transactions.
  • YouTube is the primary “how-to” and cord‑cutting platform: home/auto repair, outdoor/farm equipment maintenance, local sports highlights, and product research.
  • Instagram is used for local storefronts (boutiques, eateries) and events; Stories/Reels drive discovery.
  • TikTok is a fast‑rising channel for younger adults and local creators; short‑form tutorials, hunting/fishing/outdoors content, and small‑business promos perform well.
  • Snapchat remains a daily messaging channel for teens/young adults; high engagement but limited organic reach for brands beyond geofilters/ads.
  • LinkedIn usage clusters around major local employers (e.g., manufacturing, distribution, healthcare, education) for hiring and professional networking.
  • X (Twitter) use concentrates on severe weather, school closings, highway conditions, and high‑school sports scores; lighter entertainment use.
  • Timing: engagement peaks before work/school (6–8 AM), lunch (11:30 AM–1 PM), and evenings (8–10 PM); seasonal spikes around storms, harvest, and school-year milestones.
  • Commerce: Facebook Marketplace and local buy/sell groups are key for secondhand goods; Instagram DMs and Facebook posts drive foot traffic and local services.

Notes on figures

  • Counts and percentages are 2024 modeled estimates for Pennington County based on Pew Research Center’s latest U.S. social platform adoption rates (by age/gender) applied to the county’s population size; users commonly have accounts on multiple platforms, so totals overlap.