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City Profile

San Donà di Piave, Veneto

Italy · Comprehensive city data and intelligence

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77
Overall Score

San Donà di Piave, located in the Veneto region of Italy, is a dynamic and growing city that serves as a significant hub in the Basso Piave area. With a population of over 42,000 residents as of early 2026, the city has experienced consistent demographic growth, largely driven by a positive migratory balance. This sustained expansion is attributed to a high quality of life, a comprehensive range of services, and a strong sense of perceived safety. The city's strategic location, offering proximity to both the Adriatic coast and major urban centers like Venice, makes it an attractive destination for new residents and investors alike.

Historically, San Donà di Piave has played a crucial role in the region, benefiting from its position along the Piave River. Today, it continues to evolve with significant public and private investments aimed at enhancing its urban system, educational offerings, and overall infrastructure. The city is characterized by a multicultural community, with a notable presence of foreign residents contributing to its diverse social fabric. Its blend of historical charm, modern amenities, and a vibrant local economy makes San Donà di Piave a desirable place to live and work.

About Veneto

Veneto, a region in northeastern Italy, is characterized by its diverse landscapes, ranging from the Dolomite mountains to the Adriatic coast and the Venetian plain. It boasts one of Italy's leading economies, driven by a highly specialized manufacturing base of small and medium-sized enterprises in sectors like mechanics, textiles, agro-food, and eyewear, alongside significant tourism and wine production. The climate varies from a cold mountain climate in the Alps to a moderately continental climate in the plains with cold, damp winters and hot, muggy summers. The cost of living in Veneto is generally higher than the Italian average, with Venice being particularly expensive, but the region offers a high quality of life with a strong work-life balance and a rich cultural heritage.

42,466
Population
$30K
Avg Salary
70
Cost Index
76.6
Quality Score
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Performance

Quality Scores

Business
68
Livability
74
Affordability
65
Growth
70

Expenses

Cost of Living

The cost of living in San Donà di Piave is generally moderate compared to larger Italian cities, offering a more affordable lifestyle while still providing access to quality services. Basic utilities for an average apartment, including electricity, heating, cooling, water, and garbage, amount to approximately $190.86 per month. Internet services are also reasonably priced, with broadband costing around $33.61 monthly.

Food expenses are manageable, with monthly groceries estimated at about $463.48. Dining out at a mid-range restaurant for a single meal can cost around $40.55. While specific data for overall cost indices for San Donà di Piave are not readily available, the housing market, a significant component of living expenses, shows average rental prices for a one-bedroom apartment in the city center at approximately $753.15 per month. These figures suggest that San Donà di Piave presents a relatively balanced cost of living, making it an accessible option within the Veneto region.

Average Rent
$753/mo
Groceries
$463/mo
Transport
$45/mo
Utilities
$191/mo
Healthcare
$116/mo
Gym membership (monthly)
$58.00
Cinema ticket
$9.00
Restaurant meal (mid-range)
$41.00
Monthly groceries
$463.00
Doctor visit (without insurance)
$116.00

Income

Salary Insights

San Donà di Piave boasts a resilient and diversified economy, characterized by strong local businesses and a positive outlook for growth. The Sandonatese area is home to over 2,100 companies, with key sectors including construction, hospitality and catering, wholesale and retail trade, and metalworking. The presence of a significant tourism sector, particularly in the broader coastal region, also contributes to the local job market. Agriculture, especially wine production, is another notable industry.

The job market in San Donà di Piave is supported by a growing population and increasing investor confidence, leading to investments in development and services. While specific job growth rates for the city are not available, the broader Veneto East region anticipates export growth for 40.9% of its companies in 2026, indicating a generally positive economic trend. The average net monthly salary in San Donà di Piave is around $1,738.05, reflecting a stable, albeit modest, earning potential compared to national averages.

The average salary in San Donà di Piave is $29,784 per year. You would need approximately $35,000 to live comfortably.

Employment

Top Industries

Construction +2.00% Agriculture +1.00% Wholesale & Retail Trade +1.50% Hospitality & Tourism +2.50% Metalworking +1.80%

Weather

Climate

🌡️
Avg Temp
☀️
Summer High
❄️
Winter Low
🌧️
"
Annual Rain
💧
%
Humidity
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Sunny Days

Mobility

Transport

Getting around San Donà di Piave is relatively convenient, with a mix of public transit options and a generally walkable urban environment. While specific transit and walkability scores are not available, Italian medium-sized cities typically offer good pedestrian infrastructure, allowing for easy access to local amenities on foot. Public transportation, likely consisting of local bus services, connects different parts of the city and surrounding areas, though it may not be as extensive as in larger metropolitan centers. The average monthly transit pass in Italy costs around $44.93.

For those who prefer driving, the city is well-connected by road networks, facilitating travel to nearby towns and cities in the Veneto region. The cost of gasoline is approximately $7.85 per gallon. While car dependency is moderate, the compact nature of the city center and the availability of public transport options mean that a car is not always essential for daily errands. The city's infrastructure supports a balanced approach to transportation, catering to both pedestrians and motorists.

25 min
Avg Commute
55.00/10
Transit Score
70.00/10
Walkability
Medium
Car Dependency
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At a Glance

Pros & Cons

Advantages
Consistent population growth, driven by a positive migratory balance, indicates a desirable living environment.
Strong local economy with diversified industries including construction, hospitality, retail, and metalworking.
High perceived safety and quality of life, contributing to the city's attractiveness.
Comprehensive range of services, including an extensive educational system and public investments in infrastructure.
Relatively affordable cost of living compared to larger Italian cities, particularly for housing.
Drawbacks
Average net monthly salary is modest compared to national GDP per capita, potentially impacting purchasing power.
Limited specific data available for certain metrics like unemployment rate and detailed transit scores, requiring estimations.
The city's average age is relatively high at 46.6 years, suggesting an aging population trend.
While growing, the city's economic and population growth rates are moderate rather than rapid.
Public transport options, while present, may not be as extensive or efficient as in larger metropolitan areas.

Head to Head

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Nearby Cities

Venice
Verona
Padua
Vicenza

Community Q&A

Questions about San Donà di Piave

What people ask about living in and moving to San Donà di Piave, Veneto.

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Gathering the most common questions about San Donà di Piave…

FAQ

Frequently Asked Questions

The consumer market basket tracks everyday necessities, including staple grocery items (such as milk, bread, eggs, and produce), residential energy bills (electricity, gas, and water), public and private transit costs, routine outpatient medical care, and standard consumer goods and services to ensure a representative monthly budget.

Even in close geographic proximity, local tax jurisdictions, municipal utility rates, zoning laws, and micro-housing markets can create wide cost discrepancies. For example, a city with strict land-use regulations or higher local sales taxes will typically exhibit elevated housing and consumer goods costs compared to an adjacent county with looser zoning and lower tax burdens.

Even in close geographic proximity, local tax jurisdictions, municipal utility rates, zoning laws, and micro-housing markets can create wide cost discrepancies. For example, a city with strict land-use regulations or higher local sales taxes will typically exhibit elevated housing and consumer goods costs compared to an adjacent county with looser zoning and lower tax burdens.

Local tax climates significantly shift a city's affordability score by directly affecting disposable income. Urblytica factors in state income tax brackets, local municipal property tax millage rates, and combined sales taxes to measure the true tax drag on median household earnings.

Core economic indexes and consumer price metrics undergo a comprehensive quarterly recalibration. This update cycle integrates the latest Consumer Price Index (CPI) releases, municipal utility rate adjustments, and regional housing data feeds to ensure all index comparisons reflect current economic conditions.

Housing is weighted as the single largest component in Urblytica's cost-of-living algorithm, typically accounting for roughly 30% to 35% of the composite score. It incorporates both median monthly gross rent and median single-family home purchase prices relative to local median income levels.

Normalization involves adjusting raw economic inputs against localized purchasing power parities (PPPs) and population-weighted density scales. This ensures fair, apples-to-apples comparisons between dense metropolitan hubs and smaller suburban or rural towns.

Utility indexing applies a rolling annual average that captures seasonal climate variations, such as increased summer air conditioning loads in southern climates or heavier winter heating demands in northern regions, providing a realistic year-round average utility expense.

Remote workers leverage the index to calculate real purchasing power parity when moving from a high-cost-of-living area to a lower-cost region. By comparing index differentials against their fixed salary, users can determine if their net savings and lifestyle quality will improve post-relocation.

While the raw Cost of Living Index measures pure expense levels, it is frequently paired with Urblytica’s local wage index and median household income benchmarks. This combined view highlights whether local salaries keep pace with local consumer goods and housing expenses.

Urblytica normalizes municipal, county, and state law enforcement reporting data into a unified Safety Index scaled per 1,000 residents. The algorithm decouples violent offenses from property crimes to give movers a granular view of specific risk factors when comparing neighborhoods or suburbs.

Rankings are driven by demographic-specific weighting models. For families, the platform weights school performance, park acreage, and pediatric healthcare access heavily. For retirees, it prioritizes sunshine hours, healthcare proximity, and property tax exemptions. For young professionals, it measures walkability, nightlife density, high-speed fiber availability, and rental market velocity.

Educational metrics aggregate state standardized test scores, student-to-teacher ratios, high school graduation rates, and per-pupil expenditures across local public school districts, alongside proximity options for charter and private school alternatives.

The side-by-side comparison tool overlays a user's baseline parameters—such as target income, remote work status, or household size—across two selected municipal datasets. It calculates direct percentage differentials in housing, tax drag, weather indices, and commuting times to output a net lifestyle impact score.

Mobility scores integrate geographic transit stop densities, pedestrian sidewalk coverage, dedicated bike lane miles, and average commute durations using spatial analysis feeds to measure a city's reliance on personal automobile ownership.

Environmental indexing factors in annual clear-sky days, average seasonal temperature extremes, historical air quality index (AQI) readings, and natural disaster risk weighting (such as flood zones or seismic activity) to reflect year-round livability comfort.

Cultural vibrancy is measured by per-capita counts of museums, performing arts venues, public libraries, local dining establishments, and community festival spaces, ensuring users can gauge the social and recreational vibrancy of a metro area.

Yes. Urblytica’s interactive custom weighting engine allows users to slide importance parameters—such as prioritizing low taxes over public transit or warm weather over proximity to major airports—to dynamically re-rank cities to their personal preferences.

The platform monitors net domestic migration figures, building permit issuances, and municipal census updates to track whether a city is expanding rapidly, stabilizing, or experiencing population contraction, which directly affects long-term community infrastructure.

Park accessibility is calculated using spatial proximity buffers (such as the percentage of residents living within a 10-minute walk of a public park), total acreage of protected green spaces, and recreational trail networks available for public use.

Urblytica’s Business Climate Score is a composite index built on regional corporate tax rates, municipal business filing fees, local labor market talent density, venture capital funding volume, regulatory friction, and commercial real estate availability. This provides entrepreneurs and investors with an objective measure of municipal startup friendliness.

High state corporate income taxes and costly annual municipal registration fees can deter early-stage bootstrapping. Urblytica tracks these structural costs alongside state-level tax incentives, franchise taxes, and LLC formation fees to calculate the true cost of establishing and maintaining legal business operations in a specific jurisdiction.

Top-tier hubs for investment and talent readiness are typically anchored by major research universities, high concentrations of STEM graduates, robust angel investor networks, and mature incubators or accelerators. Urblytica ranks these metro areas by matching local university output against active regional venture capital deployments.

Founders analyze Urblytica’s sector-specific growth metrics—such as local per-capita spending, industry-specific employment density, and regional business formation rates—to gauge market saturation, validate target customer demand, and identify underserved niches for expansion.

Talent pipeline readiness measures the steady influx of skilled labor from local colleges, universities, and vocational programs. Cities with high concentrations of specialized degree holders receive higher weightings because they reduce recruitment overhead and skill-gap friction for growing companies.

Commercial real estate metrics evaluate average price-per-square-foot lease rates for retail, industrial, and co-working spaces, alongside vacancy rates. Affordable commercial leasing options significantly elevate a city's score for small-to-medium enterprises (SMEs) and retail startups.

Yes. The platform maintains a dynamic index of regional economic development programs, including state job creation tax credits, R&D tax exemptions, municipal small business grants, and enterprise zone incentives that lower operational overhead for qualifying companies.

Regulatory friction is quantified by analyzing the average timeline and procedural complexity required to secure local commercial building permits, zoning variances, occupational licenses, and health inspection clearances, highlighting markets with streamlined bureaucratic processes.

High-growth ecosystems are characterized by dense networks of venture capital firms, angel syndicates, tech-focused accelerators, and scalable business models. Traditional small-business economies rely more heavily on steady local consumer demand, service-oriented retail, and localized commercial stability.

Commercial viability heavily incorporates digital and physical infrastructure metrics, including enterprise-grade fiber-optic broadband availability, proximity to major interstate corridors, cargo airports, and public freight networks necessary for efficient supply chain management and digital operations.

The Rent-to-Income ratio divides the median annual gross rent by the local median household income. Urblytica benchmarks this against the standard financial guideline where housing costs should ideally not exceed 30% of gross household income, highlighting markets experiencing rent burden versus those offering high affordability.

Leading indicators include months of inventory (MOI), apartment absorption rates, new multifamily building permit issuances, year-over-year median rent growth velocity, and net population migration into the specific municipal core.

Home appreciation tracking uses repeat-sales indices and median price-per-square-foot trend analysis over 1-year, 3-year, and 5-year rolling windows. This isolates true market value appreciation from structural shifts in the types of homes being sold.

Market balance is determined primarily by months of inventory (MOI). An inventory level under 4 months designates a competitive seller's market, 4 to 6 months indicates a balanced market, and an inventory exceeding 6 months signifies a buyer's market characterized by greater negotiating leverage and higher days-on-market averages.

Beyond base purchase prices or monthly rent, Urblytica incorporates effective property tax millage rates and average monthly HOA dues into its "Total Cost of Homeownership" metric. This provides buyers with an accurate representation of recurring monthly holding costs.

Commercial real estate tracking covers average cap rates, net absorption, vacancy rates, and asking lease prices across retail, office, and industrial sectors. This gives real estate investors a holistic view of urban economic health and development momentum.

Housing stability is assessed by tracking historical foreclosure rates, owner-occupancy percentages versus investor-owned rental concentrations, employment diversification, and historical price volatility during broader macroeconomic recessions.

Investors leverage the platform's gross rental yield calculations—derived by dividing annual gross rental income by purchase price—alongside population growth velocity and infrastructure investment announcements to spot high-potential emerging markets.

Yes. The platform maintains multi-year historical archives for median home values, rent trajectories, building permits, and zoning changes, allowing users and analysts to backtest market performance and project long-term real estate trends.

Core metrics undergo scheduled synchronization cycles depending on the data feed: real estate market values and housing inventories are updated monthly, cost-of-living indices and consumer baskets are recalibrated quarterly, and comprehensive demographic, tax, and economic climate scores are audited annually against federal census updates.

Urblytica builds its data models using authoritative primary sources, including the U.S. Census Bureau (American Community Survey), Bureau of Labor Statistics (BLS), federal and state Department of Labor metrics, Multiple Listing Service (MLS) transactional feeds, municipal tax registries, and peer-reviewed economic research databases.

Normalization is executed via algorithmic weighting models that adjust raw municipal data against population density scales, purchasing power parities (PPPs), and regional cost adjustments. This ensures fair, apples-to-apples comparisons between major metropolitan centers and rural or micropolitan communities.

No. All rankings, indices, cost-of-living projections, and market scores provided by Urblytica are designed for informational, research, and comparative purposes only and do not constitute formal financial, real estate investment, tax, or legal advice.

User-submitted insights and external partner integrations pass through automated validation filters, outlier detection algorithms, and manual editorial checks against baseline federal and state datasets before being integrated into live public profiles.

The platform publishes comprehensive methodology guides detailing how index categories (such as cost of living, safety, and business climate) are weighted and calculated, empowering researchers and users to inspect the exact mechanics behind every ranking.

Yes. Qualified researchers, proptech developers, and media outlets can request access to Urblytica’s data feeds and API integration tiers for academic studies, market research reports, and custom geospatial data applications.

Urblytica's platform models are governed by a specialized team of data architects, software engineers, and urban economists dedicated to maintaining rigorous statistical standards, data privacy compliance, and transparent analytical practices across all digital properties.

Urblytica’s job market health index aggregates regional employment growth rates, unemployment trends, industry diversification scores, median wage growth velocity, and the presence of major corporate headquarters or academic medical centers. This allows professionals to assess long-term career resilience and upward mobility potential.

Wage growth metrics compare annual percentage increases in median household income against regional inflation and cost-of-living indices. This reveals whether local earnings outpace consumer price increases, providing a true measure of real purchasing power improvement for workers moving into the area.

The platform indexes regional employment concentrations by matching Bureau of Labor Statistics (BLS) data with local business registry feeds, tracking key economic drivers such as tech, healthcare, aerospace, finance, or advanced manufacturing to identify dominant hiring sectors.

Remote work infrastructure scoring measures municipal fiber-optic penetration, commercial co-working space density, average residential download/upload speeds, and digital nomad friendliness, reflecting a city's viability for distributed teams and remote professionals.

Labor stability tracking monitors rolling 12-month unemployment rates relative to national averages, alongside labor force participation trends, indicating how quickly displaced workers can re-enter the workforce or how competitive local hiring environments are.

Yes. Urblytica’s interactive search filters allow professionals to isolate cities based on specific sector strengths—such as filtering exclusively for top-tier biotechnology hubs, fintech centers, or engineering-heavy municipal markets.

Ecosystem composition indexing calculates the ratio of early-stage venture-backed startups and small businesses versus Fortune 500 or large enterprise employers, helping job seekers choose between the high-growth environment of a startup or the career stability of a legacy corporation.

Net compensation analysis adjusts gross regional salary offers by factoring in state income tax brackets, local occupational privilege taxes, and state-specific payroll deductions, providing workers with an accurate calculation of their actual take-home pay.

Professional networking vitality is quantified by tracking the frequency of regional trade conventions, active local chambers of commerce, industry-specific meetup groups, and university alumni networking chapters operating within the municipal boundary.

Yes. The platform tracks the percentage of the adult population holding bachelor's degrees, graduate degrees, or specialized technical certifications, indicating a region's intellectual capital and the overall skill sophistication of its labor pool.

Urblytica normalizes municipal, county, and state law enforcement records into a standardized Safety Index per 1,000 residents, separating violent crimes from property offenses to give users clear risk assessments across different zip codes and neighborhoods.

Pedestrian metrics measure sidewalk network coverage, intersection density, dedicated pedestrian crossing signals, and proximity to everyday commercial destinations like grocery stores, pharmacies, and public parks.

Public transit scoring aggregates local bus route frequencies, rail or subway station proximities, transit stop densities, and average daily schedule availability to measure how easily residents can navigate the city without a personal vehicle.

Environmental quality tracking incorporates local Air Quality Index (AQI) historical averages, particulate matter concentrations ($PM_{2.5}$ and $PM_{10}$), municipal drinking water safety compliance reports, and industrial emissions tracking provided by environmental protection databases.

Green space accessibility calculates the percentage of residential populations living within a 10-minute walk of a public park, alongside total protected park acreage, community sports fields, and paved multi-use trail networks.

Yes. Urban density and nuisance metrics analyze population density per square mile, traffic volume acoustic mapping, and light pollution indices to help residents gauge the ambient noise and tranquility levels of specific neighborhoods.

Disaster risk modeling evaluates historical hazard frequencies—such as flood zones, wildfire exposure, hurricane paths, or seismic fault lines—alongside municipal emergency response infrastructure and flood mitigation investments.

Civic vitality is assessed through voter turnout rates in local municipal elections, active neighborhood association counts, public library utilization numbers, and community volunteer participation rates.

Health infrastructure indexing maps the geographic distribution and per-capita counts of primary care clinics, 24/7 emergency rooms, specialized hospitals, urgent care centers, and community fitness facilities relative to residential density.

Yes. Urblytica’s customizable weighting interface enables users to prioritize specific lifestyle metrics—such as weighting low crime rates and top-tier school districts higher than nightlife or public transit density—to generate personalized neighborhood scores.

Users can select two or more municipal profiles simultaneously to generate a side-by-side comparative matrix. The interface contrasts key metrics—such as cost-of-living differentials, tax drag, median housing values, and commute lengths—to help users evaluate relocation choices.

Yes. Registered users can save custom city shortlists, pin preferred economic indicators, store tailored cost-of-living calculators, and export consolidated reports directly from their user dashboard for easy future access.

Platform users with qualifying account tiers can export clean, structured datasets and comparison summaries into standard formats such as CSV, Excel spreadsheets, or PDF report packages for offline research and presentations.

Urblytica offers structured API access tiers designed for proptech developers, enterprise analysts, and academic researchers, providing programmatic endpoints for real-time city indexing, demographic data feeds, and historical market metrics.

Users can adjust interactive weighting sliders within the custom ranking dashboard to prioritize personal preferences—such as emphasizing high-speed broadband and low income taxes over warm weather or public transit—to dynamically re-sort city leaderboards.

Users can initiate an account recovery by clicking the "Forgot Password" link on the login portal, entering their registered email address, and following the secure cryptographic token link sent to their inbox to establish a new password.

Urblytica enforces strict data privacy standards by utilizing encrypted HTTPS transmission protocols, secure database hashing for credentials, and full compliance frameworks allowing users to request data access, modification, or complete account deletion under privacy regulations.

Enterprise clients, media outlets, and institutional researchers can reach out directly via the platform’s "Enterprise & Partnership" contact portal to coordinate custom geospatial analyses, bulk data licensing, or tailored API integrations.

If interactive elements fail to load, users are advised to clear browser cache and cookies, disable aggressive ad-blockers or script-blocking extensions that may interfere with mapping scripts, or switch to a modern standards-compliant browser.

Users can submit feedback, bug reports, or feature recommendations through the in-app support ticketing system or the "Feedback & Suggestions" portal, where product and engineering teams regularly review submissions for platform enhancements.

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