Big Stone County

Big Stone County is located in western Minnesota along the South Dakota border, with the Minnesota River forming part of its northern boundary and Big Stone Lake anchoring the county’s northeastern corner. Created in 1862 during the early organization of Minnesota’s western frontier, the county developed around agriculture and small trading centers serving surrounding townships. It is a small, largely rural county with a population of roughly 5,000 residents, characterized by low-density communities and a strong connection to land and water resources.

The landscape includes prairie and rolling farmland interspersed with lakes, river valleys, and wetlands, reflecting the transition from tallgrass prairie to glaciated lake country. The local economy is dominated by farming and related agribusiness, along with public services and small-scale manufacturing and retail. Ortonville is the county seat and principal community, serving as the main administrative and commercial hub.

Big Stone County is a rural county in western Minnesota along the South Dakota border, anchored by the county seat of Ortonville and the Big Stone Lake area. The county is part of Minnesota’s Upper Minnesota River region.

Population Size

According to the U.S. Census Bureau QuickFacts profile for Big Stone County, Minnesota, the county’s population was 5,166 (2020 Census). The same profile lists a 2023 population estimate of 4,935.

Age & Gender

According to the U.S. Census Bureau QuickFacts profile for Big Stone County, Minnesota (2019–2023 ACS):

• Age distribution (selected measures)
  • Under 18 years: 19.1%
  • 65 years and over: 29.1%
• Gender ratio (sex)
  • Female: 49.7%
  • Male: 50.3%

Racial & Ethnic Composition

According to the U.S. Census Bureau QuickFacts profile for Big Stone County, Minnesota (2019–2023 ACS):

• Race (alone)
  • White: 93.0%
  • American Indian and Alaska Native: 1.1%
  • Asian: 0.3%
  • Black or African American: 0.2%
  • Two or more races: 5.1%
• Ethnicity
  • Hispanic or Latino (of any race): 1.6%

Household & Housing Data

According to the U.S. Census Bureau QuickFacts profile for Big Stone County, Minnesota (2019–2023 ACS unless noted):

• Households
  • Total households: 2,256
  • Average household size: 2.11
• Housing
  • Total housing units: 2,858
  • Owner-occupied housing unit rate: 75.0%
• Local government reference
  • For local government and planning resources, visit the Big Stone County official website.

Big Stone County is a sparsely populated, largely rural county on Minnesota’s western border, where longer distances between households and network nodes can constrain fixed-line deployment and make digital communication more dependent on available broadband and mobile coverage.

Direct county-level email-usage statistics are generally not published; email adoption is typically inferred from digital-access proxies such as internet subscriptions, device availability, and age structure. The most widely used local benchmarks come from the U.S. Census Bureau (ACS) data portal, including “computer and internet use” tables showing broadband subscription and computer access, which serve as indicators of likely email access.

Age distribution influences email adoption because older populations tend to have lower rates of internet and device use than prime working-age groups; county age structure can be reviewed via ACS demographic profiles. Gender distribution is usually less predictive of email adoption than age and household connectivity, but sex composition is also available in ACS profiles.

Connectivity constraints in rural areas commonly include fewer provider options, higher per-premise build costs, and coverage gaps; infrastructure conditions are reflected in FCC National Broadband Map availability data.

Big Stone County is in western Minnesota along the South Dakota border, centered on the Big Stone Lake corridor and largely characterized by agricultural land use and small towns. The county’s low population density and dispersed housing pattern are key factors shaping mobile connectivity: fewer towers serve larger areas, and terrain/land cover (open farmland with some lake/river-adjacent lowlands) tends to produce coverage that is broad but not uniform, with gaps more likely away from highways and town centers. County context and population characteristics are documented through official profiles such as the U.S. Census Bureau’s geography and community datasets (for example, U.S. Census Bureau (Census.gov)).

County context relevant to mobile connectivity

• Rural settlement pattern: Most residences are outside dense urban neighborhoods, increasing the per-user cost of dense mobile infrastructure and making indoor coverage more variable (larger distance to towers; fewer small cells).
• Transportation and town hubs: Stronger service is typically engineered around primary corridors and incorporated places where demand concentrates.
• Weather and seasonal factors: Upper Midwest winter conditions can affect power and backhaul resilience; this influences reliability more than nominal “coverage” footprints.

Key distinction: network availability vs. household adoption

• Network availability describes where mobile broadband service is reported to be present (coverage footprints by technology such as LTE or 5G).
• Household adoption describes whether residents subscribe to mobile service and whether they rely on mobile data, fixed broadband, or both.

These measures often diverge in rural counties: a location can be “covered” on maps while households still face cost, device, plan, performance, or indoor-signal constraints that reduce practical use.

Network availability (reported coverage and technology)

Reported LTE/4G and 5G availability

• Primary source for reported mobile broadband coverage: The Federal Communications Commission’s Broadband Data Collection and National Broadband Map provide location-based reporting and technology layers for mobile broadband (including LTE and 5G variants) at a granular level. The FCC map is the standard reference for distinguishing reported availability from adoption metrics. See FCC National Broadband Map.
• Typical rural pattern in western Minnesota: LTE/4G is generally the baseline mobile broadband layer across rural counties; 5G availability tends to be more concentrated around towns and higher-traffic corridors and can vary significantly by provider and spectrum band. County-specific confirmation requires consulting the FCC map layers for Big Stone County because provider deployments change frequently and coverage is reported on an ongoing basis.
• Important limitation of reported mobile coverage: FCC mobile availability is based on provider-submitted propagation models and parameters. Practical performance may differ due to building materials, handset radios, congestion, or local tower siting.

Backhaul and infrastructure factors affecting service quality

• Cell density and backhaul: Rural macro-towers cover large areas; speeds and consistency depend on tower-to-user load and backhaul capacity (often fiber or licensed microwave). These factors shape user experience even where LTE/5G “availability” is reported.
• Indoor coverage: Lower tower density increases the probability of weaker indoor signal at the edge of cells, influencing actual usability for voice and data.

Household adoption and penetration (subscription and device access)

County-level adoption measures (limitations)

• Mobile subscription (“penetration”) is not typically published at the county level in a standardized, frequently updated way comparable to FCC availability layers. Public datasets often report broadband adoption more robustly for fixed internet at county/tract scales than for mobile service subscriptions specifically.
• Comparable adoption indicators: The U.S. Census Bureau’s American Community Survey (ACS) includes measures related to household computing and internet subscriptions, including cellular data plan indicators, but reporting and geography constraints can limit precision for small counties and create larger margins of error. Primary reference: data.census.gov (ACS tables).
• State-level consolidation: Minnesota’s broadband planning resources summarize adoption and access indicators, often emphasizing fixed broadband while also describing mobile and wireless contexts. See Minnesota DEED Office of Broadband Development.

Practical interpretation for Big Stone County

• Adoption tends to track affordability and fixed-broadband availability: In rural counties, some households maintain mobile plans but limit data use due to plan constraints; others rely on mobile as a primary connection where fixed options are limited or costly.
• “Covered” does not mean “subscribed”: Even with reported LTE availability, adoption can lag due to cost, device replacement cycles, or preference for fixed broadband where available.

Mobile internet usage patterns (how mobile data is used)

Technology use: LTE as baseline; 5G where deployed

• LTE/4G as the common denominator: For rural counties, LTE typically carries the bulk of smartphone traffic because it is more consistently available over large areas than 5G.
• 5G usage depends on location and device capability: 5G-capable handsets are required, and 5G signal may be concentrated near population centers. The FCC map provides the most neutral way to identify where 5G is reported in the county (FCC National Broadband Map).

Usage behaviors shaped by rural connectivity

• On-the-go vs. in-home: Mobile data is often used for navigation, messaging, and intermittent streaming in town and along highways; sustained high-bandwidth use at home may shift to fixed broadband where it exists and is affordable.
• Hotspot/tethering: Some households use smartphones as hotspots, but this is constrained by plan terms, signal strength indoors, and upload performance. Public county-level rates of hotspot reliance are limited and typically inferred indirectly from ACS subscription categories rather than measured directly.

Common device types (smartphones vs. other devices)

Smartphones as the dominant endpoint (with caveats)

• Smartphones are generally the primary consumer mobile device used for voice, messaging, and app-based internet access. This aligns with national patterns, but county-specific device-type shares are not typically published as an official statistic.
• Other connected devices: Tablets, cellular-enabled laptops, and fixed wireless receivers may be present, but public datasets rarely quantify their prevalence at the county level.

Proxy sources and limitations

• ACS and similar surveys can indicate whether households have a computer and what type of internet subscription they use, but they do not provide a complete inventory of handset types. See ACS tables on data.census.gov for household device and subscription indicators.

Demographic and geographic factors influencing mobile usage in Big Stone County

• Age structure: Rural counties often have higher median ages than urban centers, which can correlate with differences in smartphone replacement cycles and app-intensive usage; precise county estimates are best obtained from ACS demographic tables (data.census.gov).
• Income and affordability: Household income and poverty rates influence the ability to maintain unlimited data plans or upgrade to 5G-capable devices; these measures are available via ACS and Minnesota demographic profiles.
• Distance to services and commuting patterns: Greater travel distances can increase reliance on mobile voice and data for navigation, coordination, and safety, while low-density areas experience more edge-of-cell coverage conditions.
• Geography and land use: Open farmland generally supports wide-area propagation from macro sites, but tower spacing and indoor attenuation remain central constraints. Lakes and river corridors can affect where infrastructure is concentrated and how signals travel locally.

Public, non-provider sources commonly used for Big Stone County mobile/broadband reference

• Reported coverage by technology and provider submissions: FCC National Broadband Map
• Household device and subscription indicators (survey-based): U.S. Census Bureau (data.census.gov) and Census.gov
• State broadband planning and adoption context: Minnesota DEED Office of Broadband Development
• Local government reference point: Big Stone County official website

Data limitations specific to the request

• Mobile “penetration” at the county level (active subscriptions per person/household, smartphone share, and plan types) is not consistently available as a public, standardized metric for Big Stone County. Publicly accessible sources focus more heavily on reported network availability (FCC) and survey-based household internet subscription categories (ACS), which do not fully capture mobile plan characteristics or real-world performance.

Big Stone County is a sparsely populated, western Minnesota county on the South Dakota border, anchored by Ortonville and characterized by agriculture, outdoor recreation around Big Stone Lake, and long driving distances between services. These regional characteristics tend to elevate the practical value of Facebook groups/pages, messaging, and local-news sharing, while also correlating with lower broadband availability than Minnesota’s metro areas, influencing how often residents stream video-heavy social content.

User statistics (penetration / active use)

• Local (county-specific) penetration: Publicly available, county-level social media penetration estimates are not consistently published by major survey organizations; most reputable sources report usage at the state or national level.
• National benchmark (adults): The share of U.S. adults who use social media is consistently reported at roughly 7 in 10 across recent survey waves by the Pew Research Center social media fact sheet. This provides a defensible baseline for rural counties absent county-level survey microdata.
• Minnesota context (connectivity constraint): Connectivity can shape “active” social use (especially short-form video). The FCC broadband data resources and the American Community Survey (ACS) are commonly used to assess rural internet access patterns that may affect frequency and platform mix, though they do not directly measure social media accounts or activity.

Age group trends (who uses social media most)

Using Pew’s national age patterns as the most widely cited benchmark (Pew Research Center):

• 18–29: Highest overall usage and highest concentration on visual/video-first platforms (Instagram, TikTok, Snapchat) alongside YouTube.
• 30–49: High usage; typically maintains Facebook use while also using Instagram and YouTube at substantial rates.
• 50–64: Moderate-to-high usage; Facebook and YouTube dominate; Instagram use declines relative to younger adults.
• 65+: Lowest overall usage but Facebook remains the most common “daily check-in” platform among users; growth tends to be slowest in this group.

Gender breakdown

National patterns from Pew indicate:

• Overall social media use by gender: Men and women are often similar in overall adoption, but platform preferences differ (Pew Research Center).
• Platform skews (typical patterns):
  • Pinterest skews more female.
  • Reddit skews more male.
  • Facebook and YouTube are broadly used across genders with smaller differences than niche platforms.

Most-used platforms (with percentages where possible)

County-level platform market share is not published by major survey houses; the most reliable reference point is national survey data:

• YouTube: ~80%+ of U.S. adults report use (Pew).
• Facebook: ~two‑thirds of U.S. adults report use (Pew).
• Instagram: ~40%+ of U.S. adults report use (Pew).
• Pinterest: ~30%+ of U.S. adults report use (Pew).
• TikTok: ~one‑third of U.S. adults report use (Pew).
• LinkedIn: ~one‑quarter of U.S. adults report use (Pew).
• Snapchat / X (Twitter): generally lower than the largest platforms in adult usage shares (Pew).

These national shares typically translate in rural Upper Midwest counties into a Facebook-and-YouTube-centered mix, with TikTok/Instagram concentrated among younger residents and LinkedIn concentrated among college-educated professionals and public-sector/health/education roles.

Behavioral trends (engagement patterns / preferences)

• Local-information utility: Rural counties commonly show heavier reliance on Facebook Pages and Groups for school updates, community events, weather closures, and local commerce; this aligns with Facebook’s strength in community-based sharing and older-age adoption patterns documented by Pew.
• Video consumption: YouTube functions as the default long-form video platform across age groups, with engagement less dependent on social graph density than Facebook.
• Short-form video: TikTok and Instagram Reels usage is typically age-concentrated (18–29 strongest), with engagement patterns oriented around algorithmic discovery rather than local networks (Pew age-platform patterns).
• Messaging as “social”: In lower-density areas, social interaction often shifts toward private messaging and group chats tied to schools, churches, sports, and volunteer organizations, reducing the share of interactions visible as public posting.
• Posting vs. browsing: Older age groups are more likely to browse, react, and share rather than create original content frequently; younger groups show higher rates of story/reel creation and creator-following, consistent with national engagement differences by age reported in major surveys (Pew).
• Time-of-day patterns (typical rural pattern): Engagement commonly peaks early morning, lunch, and evening when work schedules allow; local event promotion tends to concentrate around weekends, with higher interaction on Facebook event posts than on platforms optimized for entertainment-first feeds.

Big Stone County family and associate-related public records primarily include vital records and court records. Birth and death records are created and maintained at the county level through the Big Stone County Recorder’s Office and are part of Minnesota’s statewide vital records system. Marriage records are also recorded by the county recorder. Adoption records are handled through the courts and are generally not public.

Public access commonly uses statewide systems rather than a county-run searchable vital-records database. Birth and death certificates are typically obtained through the county recorder or the Minnesota Department of Health (MDH) Office of Vital Records. Property ownership and recorded-document history, which can be used for associate and household research, are available through the recorder and often include indexes to deeds and related filings. Court case records (family, probate, and related proceedings) are maintained within the Minnesota Judicial Branch and are accessible via the statewide case search portal, subject to access rules.

Records may be requested in person or by application through the relevant office. Official access points include the Big Stone County Recorder, the MDH Vital Records page, and the Minnesota Judicial Branch Access to Case Records.

Privacy restrictions apply to nonpublic or sealed records (notably adoption), and certified copies of vital records are generally limited by state eligibility and identification requirements.

Types of records available

Marriage records

• Marriage license application and marriage license: Issued by the county; supports legal authorization to marry.
• Marriage certificate / marriage record: The completed record returned after the ceremony is performed and registered, used for vital-record certification.
• Marriage dissolution records: Separate from marriage records; maintained as court case files (see divorce records).

Divorce records

• Divorce (marriage dissolution) decrees and judgments: Final court orders ending a marriage, typically titled Judgment and Decree in Minnesota.
• Divorce case files: Pleadings and orders filed throughout the case, maintained by the court (e.g., petition/summons, findings, custody/parenting time orders, support orders).

Annulment records

• Annulment (declaration of invalidity) files and orders: Court records for actions declaring a marriage invalid under Minnesota law; maintained as civil/family court case files.

Where records are filed and how they can be accessed

Marriage records (county vital records)

• Filed/maintained by: Big Stone County’s local vital records office (commonly the County Recorder or a designated vital records unit) and the Minnesota Department of Health (MDH), Office of Vital Records.
• Access:
  • Certified copies are generally obtained through the county’s vital records office or MDH.
  • Some indexes and limited historical information may also appear through state resources and genealogical repositories, but certified copies are issued by the official custodians.

Divorce and annulment records (court records)

• Filed/maintained by: The Big Stone County District Court (part of Minnesota’s Eighth Judicial District). Case documents are kept in the Minnesota state court record system.
• Access:
  • Public case information is commonly available through Minnesota court access systems and at courthouse public access terminals.
  • Copies of documents are obtained through the district court clerk/administrator’s office, subject to access rules and any sealing/redaction requirements.

Typical information included in these records

Marriage license / marriage record

Common data elements include:

• Full legal names of both parties (including prior names, as reported)
• Dates of birth/ages; place of birth (varies by form/version)
• Current residence; sometimes prior marital status (single/divorced/widowed)
• Date and place of marriage ceremony
• Officiant name/title and signature information; witnesses (as required by the form)
• License/record number, filing date, and county of issuance/registration

Divorce decree (Judgment and Decree) and case file

Common data elements include:

• Names of the parties; court file number; county and judicial district
• Date of marriage and date of dissolution judgment
• Findings and orders on:
  • Legal/physical custody and parenting time (when children are involved)
  • Child support and medical support
  • Spousal maintenance (alimony)
  • Division of marital property and debts
  • Name change orders (when granted)
• Related orders and filings may include financial affidavits, custody evaluations, and motions

Annulment (declaration of invalidity) order and case file

Common data elements include:

• Names of parties; court file number; venue (county)
• Legal basis for invalidity under Minnesota law
• Findings of fact and conclusions of law
• Orders regarding property, support, and custody/parenting time when applicable

Privacy and legal restrictions

Marriage records

• Minnesota treats marriage records as vital records; access to certified copies is controlled by state law and administrative rules.
• Requests typically require identification and eligibility consistent with Minnesota vital records policies; some non-certified informational access may be limited compared with certified issuance rules.

Divorce and annulment records

• Minnesota court records are generally public, but portions can be confidential, sealed, or redacted by law or court order.
• Common restrictions include:
  • Confidential identifiers (e.g., Social Security numbers, financial account numbers) must be protected; filings may be redacted.
  • Certain family case data and documents can be classified as nonpublic or restricted (for example, specific evaluations, child protection–related materials, or records sealed by court order).
  • Protective orders and address confidentiality programs can limit disclosure of location or contact information in some cases.

Big Stone County is a rural county in western Minnesota along the South Dakota border, anchored by Ortonville and the Big Stone Lake area. The county has a small population (about 5,000–6,000 in recent Census estimates) and a relatively older age profile typical of rural Upper Midwest counties, with community life centered on K‑12 schools, healthcare, agriculture, and county-seat services. Population and core community indicators are summarized in the county profile tables published by the U.S. Census Bureau QuickFacts for Big Stone County.

Education Indicators

Public schools (counts and names)

Public K‑12 education in Big Stone County is primarily served by two districts that operate the main public school sites:

• Ortonville Public School (Ortonville)
• Clinton-Graceville-Beardsley (CGB) School (serving communities including Graceville and Beardsley)

A consolidated directory of Minnesota districts and school sites is maintained via the Minnesota Department of Education (MDE) Data Center (district and school directories; school names and grade configurations vary by year as buildings are reorganized).

Student–teacher ratios and graduation rates

• Student–teacher ratio (proxy): District-level student–teacher ratios are reported in MDE staffing and enrollment files; Big Stone County’s districts typically reflect small-school staffing patterns and class sizes common to rural Minnesota. A single countywide ratio is not generally published; the most defensible approach is to use district-reported ratios from MDE.
• Graduation rates: Minnesota’s official 4‑year cohort graduation rate is published by district and school through MDE’s graduation data releases. Big Stone County’s districts generally post graduation rates that are often near or above statewide averages, but values fluctuate year-to-year because graduating cohorts are small. The authoritative source is MDE’s graduation files in the MDE Data Center.

Adult educational attainment

From the U.S. Census Bureau QuickFacts (American Community Survey-based):

• High school graduate or higher (age 25+): reported by ACS for the county (recent releases typically show a high share, consistent with rural Minnesota).
• Bachelor’s degree or higher (age 25+): reported by ACS for the county (generally below statewide metro levels, consistent with rural labor-market structure).

(QuickFacts presents the most recent ACS 5‑year estimates available for these measures.)

Notable programs (STEM, CTE, AP/college credit)

• Career and Technical Education (CTE)/vocational coursework is commonly offered through rural Minnesota districts and regional cooperative arrangements (e.g., agriculture, business, manufacturing/industrial tech, health careers), with participation and program coding reported in MDE CTE data collections.
• College credit options (e.g., PSEO, concurrent enrollment) are widely used across Minnesota districts and are tracked in MDE datasets and district course catalogs.
• Advanced Placement (AP) participation in very small districts varies; Minnesota more commonly uses concurrent enrollment and PSEO in rural areas. Program availability is best verified using district course catalogs and MDE program participation files in the MDE Data Center.

School safety measures and counseling resources

• Minnesota districts implement safety planning requirements (emergency operations planning, drills, visitor management, coordination with law enforcement) under statewide school safety frameworks and reporting.
• Student support services (school counseling, social work, and mental-health supports) are typically delivered by a combination of on-site staff and shared-service arrangements in small districts. Staffing counts and categories are reported in MDE staffing files (Data Center). Specific building-level security features are not consistently published in standardized countywide datasets.

Employment and Economic Conditions

Unemployment rate (most recent)

County unemployment is published monthly and annually by the Minnesota Department of Employment and Economic Development (DEED). The most recent annual and monthly rates for Big Stone County are available through DEED Local Area Unemployment Statistics (LAUS). (A single definitive percentage is not provided here because the most recent year varies by release cycle; DEED LAUS is the authoritative current value.)

Major industries and employment sectors

Big Stone County’s employment base aligns with a rural service-and-production mix typical of western Minnesota:

• Agriculture and related services (row crops and livestock in the surrounding region)
• Manufacturing (often food/ag processing or small-scale manufacturing in rural hubs)
• Healthcare and social assistance
• Educational services (K‑12) and public administration
• Retail trade and accommodation/food services concentrated in Ortonville and small towns

Industry employment composition can be verified using DEED’s county employment tools and the U.S. Census Bureau’s County Business Patterns/ACS tables; DEED provides a consolidated view in county profiles and labor-market dashboards (see DEED data tools).

Common occupations and workforce breakdown

Occupational structure typically includes:

• Management and office/administrative roles (county-seat and business services)
• Healthcare practitioners/support
• Education roles
• Production, transportation, and material moving
• Sales and service occupations
• Farming, fishing, and forestry (smaller share in resident-occupation counts than in land use, but locally significant)

For county occupational distributions, the most standardized source is the ACS “occupation” tables and DEED occupational staffing model outputs where available (via DEED data tools).

Commuting patterns and mean commute time

• Mean commute time is reported by the ACS and displayed in QuickFacts.
• Commuting mode in the county is predominantly driving alone, with limited public transit and higher reliance on personal vehicles typical of rural counties.
• Local employment vs. out-of-county work: A substantial share of residents commonly commute to jobs outside the county (including to larger regional job centers in Minnesota and across the South Dakota border). The most direct measurement is the Census “county-to-county commuting flows” and LEHD/OnTheMap origin–destination data (see Census OnTheMap for residence-to-work flows).

Housing and Real Estate

Homeownership and rental share

Homeownership and renter shares are reported by the ACS and summarized in QuickFacts. Big Stone County typically shows a high homeownership rate relative to metro areas, reflecting a detached-home housing stock and lower-density development.

Median property values and recent trends

• Median owner-occupied home value is reported in QuickFacts/ACS.
• Trend context (proxy): Like much of rural Minnesota, values generally increased during 2020–2023 alongside statewide housing appreciation, with variability driven by limited inventory and small sales volumes. A definitive local trend line requires sales-based series (e.g., county assessor summaries or regional MLS reports), which are not consistently published as a standardized county dataset.

Typical rent prices

• Median gross rent is reported by ACS and shown in QuickFacts.
• In small rural counties, advertised rents can vary widely by unit type and availability; ACS median gross rent is the most consistent countywide benchmark.

Types of housing

• Single-family detached homes constitute the dominant housing type in towns and rural areas.
• Rural lots and farmsteads are common outside city limits.
• Small multifamily buildings and limited apartment stock exist mainly in Ortonville and other small communities, often including senior-oriented or income-restricted properties typical of rural county seats.

Housing type distributions (single-family vs. multifamily vs. mobile homes) are available via ACS housing unit structure tables and summarized in federal datasets (QuickFacts provides selected measures).

Neighborhood characteristics (proximity to schools/amenities)

• Ortonville functions as the primary services node, concentrating the county’s largest cluster of schools, clinics, retail, and county services, which generally reduces travel time for residents living in or near the city.
• Outlying townships and lakeshore/rural areas often involve longer driving distances to schools, grocery retail, and healthcare; the Big Stone Lake area includes seasonal and recreational housing alongside year-round residences.

Property tax overview (rate and typical cost)

Minnesota property taxes vary by tax capacity, local levies, and classification (homestead, agricultural, seasonal/recreational). County-level tax summaries and levy information are published through:

• Big Stone County (official website) (county auditor/treasurer materials and levy/tax statements references)
• Minnesota Department of Revenue property tax overview (statewide rules and classification)

A single “average property tax rate” is not uniformly reported for counties in a way that is comparable across property types; the most defensible “typical homeowner cost” is the median real estate tax (ACS) or county tax statement examples by value/class, neither of which is consistently summarized as one official countywide rate. The ACS-derived median taxes can be referenced through QuickFacts/ACS tables, while levy totals are documented in county and state reporting.