Parcels of land enrolled in UVA that have forestland requiring a forest management plan.Ag parcels are not included in this dataset.

Graph and download economic data for Producer Price Index by Industry: Nonresidential Property Managers: Primary Services (PCU531312531312P) from Dec 2003 to May 2025 about management, nonresidential, primary, services, PPI, industry, inflation, price index, indexes, price, and USA.

Graph and download economic data for Producer Price Index by Industry: Residential Property Managers: Primary Services (PCU531311531311P) from Dec 2003 to May 2025 about management, primary, residential, services, PPI, industry, inflation, price index, indexes, price, and USA.

Snapshot img

US Real Estate Property Management Software Market Size 2025-2029

The us real estate property management software market size is forecast to increase by USD 447.3 million, at a CAGR of 6.1% between 2024 and 2029.

The Real Estate Property Management Software Market in the US is experiencing significant growth, driven by the increasing emphasis on customer-centric business processes. Property management companies are recognizing the value of streamlined operations and enhanced tenant experiences, leading to a surge in demand for advanced software solutions. Moreover, the adoption of big data analytics is transforming the industry, enabling data-driven decision-making and improved operational efficiency. However, the market faces challenges as well. The threat of open-source real estate property management software is growing, with some organizations opting for cost-effective alternatives. This trend could put pressure on established players to innovate and differentiate their offerings, ensuring they maintain a competitive edge. To capitalize on opportunities and navigate challenges effectively, companies must focus on delivering superior customer service, leveraging data insights, and continuously improving their technology offerings.

What will be the size of the US Real Estate Property Management Software Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The real estate property management market in the US is witnessing significant advancements, driven by the integration of smart home technologies and data backup solutions. Energy efficiency is a top priority, with regulatory compliance and property insurance companies encouraging the adoption of green building standards and sustainability certifications. Tenant screening services are utilizing background checks, credit history reports, and biometric authentication for thorough vetting processes. Artificial intelligence (AI) and machine learning are revolutionizing property management through predictive analytics, workflow optimization, and eviction prevention. Virtual tours and 3D modeling enable remote property inspections, while data visualization tools provide valuable insights for property investment analysis. Cloud security and mobile device management are essential for secure data access and management. Property risk management is a growing concern, with disaster recovery plans and property liability insurance playing crucial roles. Property management training and lease negotiation strategies are also key components in maintaining tenant retention. In summary, the US real estate property management market is undergoing a digital transformation, focusing on energy efficiency, regulatory compliance, tenant screening, and advanced technologies such as AI, data visualization, and predictive analytics. These trends are shaping the future of property management, offering increased efficiency, security, and profitability for businesses.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeIntegrated softwareStandalone softwareDeploymentCloud basedOn premisesApplicationResidentialCommercialIndustrialSectorLarge enterpriseSMEsIndividualsGeographyNorth AmericaUS

By Type Insights

The integrated software segment is estimated to witness significant growth during the forecast period.

Real estate property management software in the US integrates various applications to streamline operations for single-family homes, vacation rentals, student housing, and commercial properties. This software includes property marketing automation for tenant communication and listing platforms, occupancy management for rent collection and lease management, property accounting for financial reporting and automated payment processing, and property data analytics for value optimization and market trends. Compliance management ensures legal requirements, while property inspections and maintenance management maintain property conditions. API integration enables tenant screening and property investor collaboration. Cloud-based platforms offer accessibility and data security. Property portfolio management facilitates multifamily housing and building automation for energy efficiency. Insurance management and access control enhance security systems. Real estate agents and property managers can utilize these integrated features to effectively manage their property businesses.

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The Integrated software segment was valued at USD 659.20 million in 2019 and showed a gradual increase during the forecast period.

Market D

Property Management Apps Market Outlook

The property management apps market is witnessing a robust expansion with a market size valued at approximately $3.2 billion in 2023 and is projected to reach an impressive $7.4 billion by 2032, showcasing a compound annual growth rate (CAGR) of 9.6%. This significant growth is propelled by the increasing adoption of digital solutions within the real estate sector, as stakeholders look to streamline operations, enhance tenant experience, and improve overall asset management. The growing inclination toward smart technologies and automated systems in property management has been a pivotal growth factor, contributing significantly to the market’s escalating trajectory. The rising demand for efficient and cost-effective management solutions across diverse property types further augments this market's expansion.

One of the primary growth drivers of the property management apps market is the escalating demand for automated and efficient property management solutions. With an increasing number of property owners and managers seeking to streamline operations and reduce manual overhead, the integration of sophisticated software platforms has become imperative. These applications offer a multitude of functionalities, from tenant screening and lease tracking to maintenance requests and financial reporting, thereby enhancing operational efficiency and accuracy. Moreover, the increasing complexity of real estate portfolios, especially with the rise of multi-property ownership, necessitates the adoption of these digital tools to manage logistical challenges and improve resource allocation.

Another significant factor fueling market growth is the burgeoning trend of smart and connected buildings, which has driven the need for sophisticated property management systems. The integration of IoT (Internet of Things) with property management apps allows for real-time monitoring and management of building systems, such as HVAC, lighting, and security. This not only improves operational efficiency but also enhances tenant comfort and satisfaction, which are critical in a competitive rental market. Additionally, the integration of data analytics within these applications provides property managers with actionable insights, enabling data-driven decision-making that can enhance property value and rental yields. The proliferation of mobile technology also plays a crucial role, as mobile apps offer users the flexibility to manage properties anytime and anywhere, further supporting market growth.

The increasing emphasis on tenant experience and community engagement is another catalyst for the growth of property management apps. Modern property management solutions are now focusing on enhancing tenant interactions through features like community forums, online portals for maintenance requests, and platforms for rent payments and communication. These features not only improve tenant satisfaction and retention rates but also increase the transparency and accountability of property management operations. As landlords and property managers recognize the value of a positive tenant experience, the adoption of comprehensive property management applications is expected to rise, thereby fueling market growth. Additionally, the integration of AI and machine learning within these apps is anticipated to offer predictive analytics capabilities, which can predict maintenance requirements and streamline resource allocation, further boosting market expansion.

Regionally, the North American market dominates due to its advanced digital infrastructure and higher adoption rates of technological solutions in the real estate sector. The presence of a large number of real estate companies and property management firms, coupled with the increasing trend of urbanization, contributes significantly to the region's market share. Meanwhile, the Asia Pacific region is anticipated to witness the fastest growth rate, driven by rapid urbanization, the rise of smart cities, and increased investment in real estate technology. Emerging economies in this region are embracing digital transformation, which bodes well for the demand for property management apps. Europe also holds a substantial market share, with growing awareness of digital property management solutions and an increasing focus on enhancing tenant experiences. The Middle East & Africa and Latin America, although currently smaller markets, offer significant growth opportunities owing to their burgeoning real estate sectors and rising adoption of cloud-based solutions.

Component Analysis

The property management apps market, when analyzed by component, is p

"Due to the size of this dataset, both Shapefile and Spreadsheet download options will not work as expected. The File Geodatabase is an alternative option for this data download"This is SCAG's 2019 Annual Land Use (ALU v. 2019.1) at the parcel-level, updated as of February 2021. This dataset has been modified to include additional attributes in order to feed SCAG's Housing Element Parcel Tool (HELPR), version 2.0. The dataset will be further reviewed and updated as additional information is released. Please refer to the tables below for data dictionary and SCAG’s land use classification.Field NameData TypeField DescriptionPID19Text2019 SCAG’s parcel unique IDAPN19Text2019 Assessor’s parcel numberCOUNTYTextCounty name (based on 2016 county boundary)COUNTY_IDDoubleCounty FIPS code (based on 2016 county boundary)CITYTextCity name (based on 2016 city boundary)CITY_IDDoubleCity FIPS code (based on 2016 city boundary)MULTIPARTShort IntegerMultipart feature (the number of multiple polygons; '1' = singlepart feature)STACKLong IntegerDuplicate geometry (the number of duplicate polygons; '0' = no duplicate polygons)ACRESDoubleParcel area (in acreage)GEOID20Text2020 Census Block Group GEOIDSLOPEShort IntegerSlope information1APN_DUPLong IntegerDuplicate APN (the number of multiple tax roll property records; '0' = no duplicate APN)IL_RATIODoubleRatio of improvement assessed value to land assessed valueLU19Text2019 existing land useLU19_SRCTextSource of 2019 existing land use2SCAGUID16Text2016 SCAG’s parcel unique IDAPNText2016 Assessor’s parcel numberCITY_GP_COText2016 Jurisdiction’s general plan land use designationSCAG_GP_COText2016 SCAG general plan land use codeSP_INDEXShort IntegerSpecific plan index ('0' = outside specific plan area; '1' = inside specific plan area)CITY_SP_COText2016 Jurisdiction’s specific plan land use designationSCAG_SP_COText2016 SCAG specific plan land use codeCITY_ZN_COText2016 Jurisdiction’s zoning codeSCAG_ZN_COText2016 SCAG zoning codeLU16Text2016 existing land useYEARLong IntegerDataset yearPUB_OWNShort IntegerPublic-owned land index ('1' = owned by public agency)PUB_NAMETextName of public agencyPUB_TYPETextType of public agency3BF_SQFTDoubleBuilding footprint area (in square feet)4BSF_NAMETextName of brownfield/superfund site5BSF_TYPETextType of brownfield/superfund site5FIREShort IntegerParcel intersects CalFire Very High Hazard Local Responsibility Areas or State Responsibility Areas (November 2020 version) (CalFIRE)SEARISE36Short IntegerParcel intersects with USGS Coastal Storm Modeling System (CoSMos)1 Meter Sea Level Rise inundation areas for Southern California (v3.0, Phase 2; 2018)SEARISE72Short IntegerParcel intersects with USGS Coastal Storm Modeling System (CoSMos)2 Meter Sea Level Rise inundation areas for Southern California (v3.0, Phase 2; 2018)FLOODShort IntegerParcel intersects with a FEMA 100 Year Flood Plain data from the Digital Flood Insurance Rate Map (DFIRM), obtained from Federal Emergency Management Agency (FEMA) in August 10, 2017EQUAKEShort IntegerParcel intersects with an Alquist-Priolo Earthquake Fault Zone (California Geological Survey; 2018)LIQUAFAShort IntegerParcel intersects with a Liquefaction Susceptibility Zone (California Geological Survey; 2016)LANDSLIDEShort IntegerParcel intersects with a Landslide Hazard Zone (California Geological Survey; 2016)CPADShort IntegerParcel intersects with a protected area from the California Protected Areas Database(CPAD) – www.calands.org (accessed April 2021)RIPARIANShort IntegerParcel centroid falls within Active River Areas(2010)or parcel intersects with a Wetland Area in the National Wetland Inventory(Version 2)WILDLIFEShort IntegerParcel intersects with wildlife habitat (US Fish & Wildlife ServiceCritical Habitat, Southern California Missing Linkages, Natural Lands & Habitat Corridors from Connect SoCal, CEHC Essential Connectivity Areas,Critical Coastal Habitats)CNDDBShort IntegerThe California Natural Diversity Database (CNDDB)includes the status and locations of rare plants and animals in California. Parcels that overlap locations of rare plants and animals in California from the California Natural Diversity Database (CNDDB)have a greater likelihood of encountering special status plants and animals on the property, potentially leading to further legal requirements to allow development (California Department of Fish and Wildlife). Data accessed in October 2020.HCPRAShort IntegerParcel intersects Natural Community & Habitat Conservation Plans Reserve Designs from the Western Riverside MHSCP, Coachella Valley MHSCP, and the Orange County Central Coastal NCCP/HCP, as accessed in October 2020WETLANDShort IntegerParcel intersects a wetland or deepwater habitat as defined by the US Fish & Wildlife Service National Wetlands Inventory, Version 2.UAZShort IntegerParcel centroid lies within a Caltrans Adjusted Urbanized AreasUNBUILT_SFDoubleDifference between parcel area and building footprint area expressed in square feet.6GRCRY_1MIShort IntegerThe number of grocery stores within a 1-mile drive7HEALTH_1MIShort IntegerThe number of healthcare facilities within a 1-mile drive7OPENSP_1MIShort IntegerQuantity of open space (roughly corresponding to city blocks’ worth) within a 1-mile drive7TCAC_2021TextThe opportunity level based on the 2021 CA HCD/TCAC opportunity scores.HQTA45Short IntegerField takes a value of 1 if parcel centroid lies within a 2045 High-Quality Transit Area (HQTA)JOB_CTRShort IntegerField takes a value of 1 if parcel centroid lies within a job centerNMAShort IntegerField takes a value of 1 if parcel centroid lies within a neighborhood mobility area.ABS_CONSTRShort IntegerField takes a value of 1 if parcel centroid lies within an absolute constraint area. See the Sustainable Communities Strategy Technical Reportfor details.VAR_CONSTRShort IntegerField takes a value of 1 if parcel centroid lies within a variable constraint area. See the Sustainable Communities Strategy Technical Reportfor details.EJAShort IntegerField takes a value of 1 if parcel centroid lies within an Environmental Justice Area. See the Environmental Justice Technical Reportfor details.SB535Short IntegerField takes a value of 1 if parcel centroid lies within an SB535 Disadvantaged Community area. See the Environmental Justice Technical Reportfor details.COCShort IntegerField takes a value of 1 if parcel centroid lies within a Community of Concern See the Environmental Justice Technical Reportfor details.STATEShort IntegerThis field is a rudimentary estimate of which parcels have adequate physical space to accommodate a typical detached Accessory Dwelling Unit (ADU)8.SBShort IntegerIndex of ADU eligibility according to the setback reduction policy scenario (from 4 to 2 feet) (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SMShort IntegerIndex of ADU eligibility according to the small ADU policy scenario (from 800 to 600 square feet ADU) (1 = ADU eligible parcel, Null = Not ADU eligible parcel)PKShort IntegerIndex of ADU eligibility according to parking space exemption (200 square feet) policy scenario (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SB_SMShort IntegerIndex of ADU eligibility according to both the setback reduction and small ADU policy scenarios (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SB_PKShort IntegerIndex of ADU eligibility according to both the setback reduction and parking space exemption scenarios (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SM_PKShort IntegerIndex of ADU eligibility according to both the small ADU policy and parking space exemption scenarios (1 = ADU eligible parcel, Null = Not ADU eligible parcel)SB_SM_PKShort IntegerIndex of ADU eligibility according to the setback reduction, small ADU, and parking space exemption scenarios (1 = ADU eligible parcel, Null = Not ADU eligible parcel)1. Slope: '0' - 0~4 percent; '5' - 5~9 percent; '10' - 10~14 percent; '15' = 15~19 percent; '20' - 20~24 percent; '25' = 25 percent or greater.2. Source of 2019 existing land use: SCAG_REF- SCAG's regional geospatial datasets;ASSESSOR- Assessor's 2019 tax roll records; CPAD- California Protected Areas Database (version 2020a; accessed in September 2020); CSCD- California School Campus Database (version 2018; accessed in September 2020); FMMP- Farmland Mapping and Monitoring Program's Important Farmland GIS data (accessed in September 2020); MIRTA- U.S. Department of Defense's Military Installations, Ranges, and Training Areas GIS data (accessed in September 2020)3. Type of public agency includes federal, state, county, city, special district, school district, college/university, military.4. Based on 2019 building footprint data obtained from BuildingFootprintUSA (except that 2014 building footprint data was used for Imperial County). Please note that 2019 building footprint data does not cover the entire SCAG region (overlapped with 83% of parcels in the SCAG Region).5. Includes brownfield/superfund site whose address information are matched by SCAG rooftop address locator. Brownfield data was obtained from EPA's Assessment, Cleanup and Redevelopment Exchange System (ACRES) database, Cleanups in my community (CIMC), DTSC brownfield Memorandum of Agreement (MOA). Superfund site data was obtained from EPA's Superfund Enterprise Management System (SEMS) database.6. Parcels with a zero value for building footprint area are marked as NULL to indicate this field is not reliable.7. These values are intended as a rudimentary indicator of accessibility developed by SCAG using 2016 InfoUSA business establishment data and 2017 California Protected Areas data. See documentation for details.8. A detailed study conducted by Cal Poly Pomona (CPP) and available hereconducted an extensive review of state and local requirements and development trends for ADUs in the SCAG region and developed a baseline set of assumptions for estimating how many of a jurisdiction’s parcels

Smart Parcel Locker Market Outlook

According to our latest research, the global smart parcel locker market size reached USD 1.37 billion in 2024, demonstrating robust growth driven by the rapid expansion of e-commerce and the increasing need for secure and contactless delivery solutions. The market is projected to grow at a CAGR of 12.6% from 2025 to 2033, indicating a strong upward trajectory. By 2033, the worldwide smart parcel locker market is expected to reach a value of USD 3.99 billion. This remarkable growth is primarily fueled by the rising adoption of automated last-mile delivery solutions, urbanization, and the need for efficient logistics management. As per our latest research, these trends are shaping the market landscape and encouraging investments across various sectors.

One of the primary growth factors for the smart parcel locker market is the exponential rise in e-commerce transactions globally. The shift in consumer behavior towards online shopping has created a surge in parcel volumes, necessitating advanced delivery infrastructure to ensure timely and secure package handover. Smart parcel lockers offer a robust solution by enabling contactless, 24/7 parcel collection, which enhances convenience for end-users while reducing the burden on traditional delivery systems. Additionally, the growing emphasis on last-mile delivery efficiency and the need to minimize failed delivery attempts have propelled businesses and property managers to deploy smart locker systems. These systems not only streamline package management but also contribute to operational cost savings and improved customer satisfaction, further driving their widespread adoption.

Another significant driver shaping the smart parcel locker market is the integration of advanced technologies such as IoT, AI, and cloud-based management platforms. These technological advancements have enabled real-time tracking, remote monitoring, and enhanced security features, making smart lockers more attractive for both service providers and users. The ability to seamlessly integrate with logistics networks and retail management systems has expanded the application scope of smart parcel lockers beyond residential complexes to include commercial spaces, educational institutions, and government facilities. Furthermore, the growing focus on sustainability and reducing carbon footprints has encouraged logistics providers to adopt smart lockers as part of green delivery initiatives, as they help consolidate deliveries and reduce unnecessary transportation.

The smart parcel locker market is also witnessing growth due to evolving consumer expectations for convenience and security. Urbanization and the proliferation of multifamily housing and office complexes have increased the demand for centralized and automated package management solutions. Property managers and corporate offices are investing in smart lockers to enhance tenant and employee experiences by providing secure and flexible parcel collection options. The COVID-19 pandemic further accelerated the adoption of contactless delivery solutions, with smart lockers emerging as a preferred choice for safe and hygienic parcel handling. This trend is expected to persist as hygiene and safety remain top priorities for consumers and organizations alike, contributing to sustained market growth.

From a regional perspective, North America currently dominates the smart parcel locker market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The presence of established e-commerce giants, advanced logistics infrastructure, and high consumer awareness in these regions has spurred early adoption and continuous innovation in smart locker solutions. Meanwhile, Asia Pacific is anticipated to witness the fastest growth during the forecast period, driven by rapid urbanization, increasing internet penetration, and government initiatives promoting smart city development. Emerging markets in Latin America and the Middle East & Africa are also expected to experience steady growth, supported by expanding retail sectors and investments in digital infrastructure.

The value of property funds under management in the United Kingdom (UK) fluctuated overall from August 2020 to October 2024. As of October 2024, the value of property funds in the UK was 18.32 billion British pounds (GBP).

United States - Producer Price Index by Industry: Residential Property Managers: Residential Property Management Services was 162.52000 Index Dec 1995=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Residential Property Managers: Residential Property Management Services reached a record high of 162.52000 in May of 2025 and a record low of 97.80000 in May of 1996. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Residential Property Managers: Residential Property Management Services - last updated from the United States Federal Reserve on July of 2025.

Description

The PARCELS layer depicts mapped land parcels or real estate properties within Chester County. This data contains geometric representations capturing the general size, shape and location for all of the real estate properties, which can be mapped, on the County's land surface.

ContactsTim Cassel, County of Chester

Tcassel@chesco.org, 610-344-5441, 313 W. Market St Suite 5302 West Chester, PA 19380ResourceUpdate frequency of dataset: Weekly Last Update Date: August 2023Accuracy of attribute: Attributes are correct as per County of Chester Assessment DepartmentPositional accuracy of dataset:The PARCELS layer (and derived copies PARCEL_PUBLISH and PRCL_POLY) was originally created through a conversion process of digitizing hand drawn tax maps into digital form and orientating the tax map sheets and parcels to the features depicted in the 1993 orthophotos. These parcel polygon features were adjusted based on aerial photography dated April 7, 1993, and road centerlines, right-of-way lines and other physical features generated from the same photography. While the imagery has a pixel resolution of 1.5 square feet, a positional accuracy of +/- 5 feet and is designed for use at a scale of 1 inch = 200 feet, the resulting PARCELS horizontal accuracy varies from reasonably accurate in the best cases to less accurate in the worst cases. Subsequent and current map update processes include metes and bounds entry from subdivision and deed information, as well as property corner locations based on GPS points and the utilization of our newest imagery datasets. While the update processes include more accurate methods, the resultant overall accuracy is still dependent on the surrounding parcel fabric's varied accuracy. Planimetric coordinates are based on the Pennsylvania State Plane Coordinate System South Zone and North American Datum 1983 Spatial ReferenceType: ProjectedGeographic Coordinate Reference: GCS North America 1983Projected Coordinate System: NAD 1983 State Plane Pennsylvania SouthLinear Unit: US Survey Feet

Note: There is a difference between land use code and zoning. Land management occurs via a land use designation which determines the land use code. This designation specifies how land and resources within it is managed. Zoning designations define how a property can be developed and used and it is controlled by each township/borough. See below for list of codes.Field DescriptionUPI - Uniform Parcel Identification Number, a unique value given to each parcelPIN_MAP - A Tie-back parcel identification number used to link UPI values to the parcel on which they residePIN_COMMON - A variation of UPI which adds and E for Exempt, U for Utility or T for TrailerPIN_ASMNT - A long form of the UPI number used for assessment purposesCODE (see below for list of codes)MULTI_POLY - Number listing for each parcel of a Multi-Poly parcel. (Example 1 of 20, 2 of 20)POLY_PER_PARCEL - Number of polygons that make up a parcel (0 indicates it is just one polygon)SQFT_PLAN_TOT - The square footage of a parcel (taken from the recorded plan or deed)ACRE_PLAN_TOT - The acreage of a parcel (taken from the recorded plan or deed)ACRE_PLAN_POLY - The acreage of the polygon depicting the parcel, derived by mapping softwareXCOORD - X coordinate of the centroid of the polygonYCOORD - Y coordinate of the centroid of the polygonLOC_ADDRESS - The location address for a parcelMUNI - The municipality the parcel resides inST_NUM - Street Number of the Situs AddressNUM_SUF - Street Number Suffix of the Situs AddressDIR - Street directional of the Situs Address (N, E, S, W)ST_NAME - Street Name of the Situs AddressST_TYPE - Street thorough fair type of the Situs AddressUNIT - Unit Type (see codes below)UNIT_N - Unit numberAD_ROLE - Situs Address Functional Role (see below for list of codes)NO_ADDR_CODE - No longer usedTILE_1200 - Outdated reference system, no longer usedTILE_2400 - Outdated reference system, no longer usedSUBDIV_NUMBER - Number assigned by Recorder of Deeds to a recorded documentLOT - Lot number given to parcel on the recorded planLAND_DEV_ID - Number assigned by Planning Commission for their tracking purposesCREATE_DATE - Date the parcel was mapped into the inactive parcel layerACTIVE_DATE - Date the parcel was added to the active parcel layerOWN1 - Owner of recordOWN2 - Owner of record if more than oneADDR1 - Component of the mailing address on recordADDR2 - Component of the mailing address on recordADDR3 - Component of the mailing address on recordZIP1 - Zipcode of mailing address on recordTAXYR - For Assessment purposesJURIS - Municipality Number where parcel is taxedBOOK - The book number of the recorded deedPAGE - The page number of the recorded deedDEED_REC_DATE - Date the latest deed was recordedLEGAL1 - Description of property location according to the deedLEGAL2 - Description of the taxable property and buildings according to the deedLUC - Landuse code assigned by assessment office. (unrelated to municipal zoning of a parcel) ((see below for list of codes))CLASS - General landuse classification assigned by assessment office (see below for list of codes)LOT_ASSESS - Assessed value of the landPROP_ASSESS - Assessed value of the structuresTOT_ASSESS - Assessed value of the combination of land and structuresFMV319 - Fair Market Value if not under 319FMV515 - Fair Market Value if not under 515LAST_SALE_PRICE - Last recorded sale priceASMNT_DATE - For Assessment Department use onlySCHDIST - The school district within which the parcel resides (see below for list of codes)SUBDIV_NAME - Name of the recorded planPLAN_NUM - Number assigned by the Planning Commission for their tracking purposesMODIFY_DATE - Last edit date of the parcel Data Dictionary Code1000= Parcel1010= Condominium (mother or host parcel)1011= Common Law Condo1020= Hydrography1031= Paper ROW1033= Land polygon with a ROW1034= Land dedicated to an existing ROW1035=- Private Road1040= Open Space1042= Common Area1043= Open Space owned by Homeowners Association1710= Parcel Assessed in Lancaster County but located in Chester County1711= Parcel Assessed in Berks County but located in Chester County1712= Parcel Assessed in Montgomery County but located in Chester County1713= Parcel Assessed in Delaware County but located in Chester County1714= Parcel Assessed in New Castle County but located in Chester County1715= Parcel Assessed in Cecil County but located in Chester County2000= Parcel bisected by a ROW (Duplicate Pin)2040= Open Space (Duplicate Pin)2042= Common Area (Duplicate Pin)2043= Open Space owned by Homeowners Association2010= Condominium (Duplicate Pin) LUCC-10= Banks, Savings&LoanC-20= Gas StationC-30= Restaurants, Stores (Retail)C-35= Condominium StoresC-40= Motels, HotelsC-41= Nursing HomesC-50= Shopping CentersC-60= Office Bldgs/Laboratory/LibraryC-65= Office CondoC-67= Office Condo Common LawC-70= Commercial Garage/Shop/Car DealersC-80= WarehouseC-81= Storage TanksC-90= Entertainment, RecreationC-91= Recreation (Private)C-92= Mobile Home Parks (4+)C-93= Burial Grounds/MausoleumC-94= AirportsC-95= Private SchoolsC-96= Commercial OBY onlyE-10= ChurchesE-11= CemetariesE-12= Service ConnectedE-13= Chester County PropertyE-20= SchoolsE-30= Public UtilitiesE-40= RailroadsE-50= Hospitals, etcE-60= StateE-61= State ParksE-62= FederalE-63= FederalE-70= Local Government (Townships & Boroughs)E-71= Local Government ParksE-80= Non-Profit OrganizationsE-90= Fire CompaniesF-10= Farm 10-19.99 AcresF-20= Farm 20-79.99 AcresF-40= Farm 80 Acres and overM-10= Heavy IndustrialM-20= Light IndustrialM-25= Light Industrial CondominiumM-30= Quarry/LandfillN-01= Not assessed in Chester CountyR-10= Single Family/CabinR-20= Two FamilyR-30= Multi Family/Dorms/SingleR-40= Apartments (4-19 Units)R-50= CodominiumR-55= Town House (Common Law Condo)R-60= Dwelling W/Comm Use Primary RR-61= Dwelling W/Comm Use Primary CR-70= Mobile HomeR-80= Barns, Stables, Pools, Misc BldgR-90= Apartment Complex (20 or more units)R-95= Common Elements (Not Open Space)T-10= Trailers and Mobile HomesU-03= Public UtilitiesU-04= RailroadsV-10= Vacant Land ResidentialV-11= Vacant Land CommercialV-12= Open SpaceV-13= Road Beds, Right of Way, Access WayV-14= Basins, Drainage ControlV-35= Condo Store/Vacant Common ElementV-50= Condo/Vacant Common ElementV-55= Condo Common Law/Common AreaV-65= Condo Office/Vacant Common ElementV-67= Condo Common Law Office/Common AreaClassA= ApartmentC= CommercialE= ExemptF= FarmI= IndustrialR= ResidentialU= Utility

SchDist1= Avon Grove2= Coatesville3= Downingtown4= Kennett Consolidated5= Octorara6= Owen J. Roberts7= Oxford8= Phoenixville9= Twin Valley10= Unionville Chaddsford11= West Chester12= Great Valley13= Tredyffrin-Easttown14= Springford

United States - Producer Price Index by Industry: Nonresidential Property Managers: Nonresidential Property Management Services was 132.34700 Index Dec 1995=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Nonresidential Property Managers: Nonresidential Property Management Services reached a record high of 132.51200 in June of 2024 and a record low of 93.50000 in April of 1996. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Nonresidential Property Managers: Nonresidential Property Management Services - last updated from the United States Federal Reserve on July of 2025.

Parcels of land enrolled in UVA that have forestland requiring a forest management plan.

The global residential property management services market is experiencing robust growth, driven by several key factors. The increasing urbanization and a burgeoning middle class globally are leading to a surge in demand for professionally managed residential properties. This is further amplified by the rising preference for apartment living, particularly in densely populated urban areas, and the growing recognition of the value proposition offered by professional property management firms – including streamlined tenant management, cost-effective maintenance, and enhanced property value preservation. Technological advancements, such as property management software and smart home technologies, are also contributing to market expansion by increasing efficiency and reducing operational costs. While challenges exist, such as fluctuating real estate markets and potential labor shortages, the overall market trajectory remains positive, projecting sustained growth over the forecast period (2025-2033). We estimate a market size of $150 billion in 2025, growing at a compound annual growth rate (CAGR) of 7% – based on typical growth rates in this sector considering the aforementioned drivers. This translates to a significant increase in market value by 2033. Key players in this market, including Aramark, Sodexo, CBRE, Jones Lang LaSalle, Cushman & Wakefield, and numerous regional and national firms, are actively expanding their service offerings and geographical reach to capitalize on the growth opportunities. Competition is intense, however, necessitating a focus on innovation, technological integration, and superior customer service to maintain market share. The segmentation of this market is likely to see a significant diversification as specialist services and niche offerings (like sustainable management, specialized tenant support) will further segment the market. Regional variations in growth will depend on factors such as economic conditions, regulatory environments, and the pace of urbanization in each region. North America and Europe are expected to continue to hold a significant portion of the global market share, though Asia-Pacific is projected to witness faster growth due to rapid urbanization and economic development in numerous countries.

Graph and download economic data for Producer Price Index by Commodity: Real Estate Services (Partial): Residential Property Management Fees (WPU432201) from Dec 2008 to May 2025 about management, fees, real estate, residential, services, commodities, PPI, inflation, price index, indexes, price, and USA.

Accurate and spatially-appropriate ecosystem service valuations are vital for decision-makers and land managers. Many approaches for estimating ecosystem service value (ESV) exist, but their appropriateness under specific conditions or logistical limitations is not uniform. The most accurate techniques are therefore not always adopted. Six different assessment approaches were used to estimate ESV for a National Nature Reserve in southwest China, across different management zones. These approaches incorporated two different land-use land cover (LULC) maps and development of three economic valuation techniques, using globally or locally-derived data. The differences in ESV across management zones for the six approaches were largely influenced by the classifications of forest and farmland and how they corresponded with valuation coefficients. With realistic limits on access to time, data, skills and resources, and using acquired estimates from globally-relevant sources, the Buffer zone was estimated as the most valuable (2.494 million ± 1.371 million CNY yr-1 km-2) and the Non-protected zone as the least valuable (770,000 ± 4,600 CNY yr-1 km-2). However, for both LULC maps, when using the locally-based and more time and skill-intensive valuation approaches, this pattern was generally reversed. This paper provides a detailed practical example of how ESV can differ widely depending on the availability and appropriateness of LULC maps and valuation approaches used, highlighting pitfalls for the managers of protected areas.

Discussions about the City Statute have been resumed, and the questions focus on its effectiveness, poor public participation and its use to legitimize policies guided by private interests. This paper investigates Urban Operations (UO) as a mechanism to recover land surplus value. Based on a study about the Faria Lima UO (city of São Paulo, Southeastern Brazil), the paper discusses the Linha Verde UO (city of Curitiba, Southern Brazil), which is at the initial stage of implementation. The analysis enables to draw conclusions that are both complementary and contradictory. On the one hand, it is necessary to recognize its potential as an important instrument to leverage urban transformation, dividing the costs of public action with stakeholders. However, it is possible to notice its low efficiency in the social management of land value appreciation, as it lacks mechanisms to ensure the appropriate distribution of public resources.

Parcel Dimensioning Robot Market Outlook

According to our latest research, the global parcel dimensioning robot market size reached USD 1.34 billion in 2024, and is expected to grow at a robust CAGR of 16.8% from 2025 to 2033. By the end of 2033, the market is forecasted to achieve a value of USD 5.01 billion. The primary growth factor driving this expansion is the rapid adoption of automation solutions in logistics, e-commerce, and warehousing sectors, as companies strive for greater operational efficiency and accuracy in parcel handling.

The growth of the parcel dimensioning robot market is being fueled by an unprecedented surge in global e-commerce activity. As online retail giants and smaller e-commerce businesses alike grapple with increasing parcel volumes, there is a mounting demand for accurate, high-speed dimensioning and sorting solutions to streamline order fulfillment. Parcel dimensioning robots, equipped with advanced sensors and imaging technologies, enable companies to automate the process of measuring and weighing parcels, thereby reducing manual errors, optimizing storage, and minimizing shipping costs. This automation not only enhances throughput but also enables real-time data capture, which is critical for inventory management and last-mile delivery optimization. As a result, logistics providers, retailers, and third-party fulfillment centers are increasingly investing in these systems to remain competitive in a rapidly evolving marketplace.

Another significant factor propelling the market is the growing focus on cost reduction and resource optimization across the supply chain. Parcel dimensioning robots offer a compelling value proposition by reducing labor dependency and improving accuracy, which translates into lower operational costs and improved customer satisfaction. The integration of artificial intelligence and machine learning algorithms with dimensioning robots allows for predictive analytics, anomaly detection, and process optimization. This technological synergy is particularly appealing to enterprises seeking to future-proof their operations and adapt to fluctuating demand patterns. Furthermore, the increasing emphasis on sustainability and green logistics has led companies to adopt automation solutions that not only enhance efficiency but also reduce the carbon footprint associated with manual parcel handling and excess packaging.

Technological advancements in sensor technologies, imaging systems, and robotics are also playing a pivotal role in market expansion. The development of high-resolution 3D imaging, laser-based measurement systems, and advanced data processing capabilities has significantly improved the speed and accuracy of parcel dimensioning robots. These innovations have enabled the deployment of robots in diverse environments, from high-volume distribution centers to smaller urban warehouses. Moreover, the modular design and scalability of modern parcel dimensioning robots make them suitable for integration with existing warehouse management systems and conveyor networks. As technology continues to evolve, the market is expected to witness the emergence of smarter, more versatile robots that can handle a broader range of parcel types and sizes, further expanding their application scope.

From a regional perspective, North America currently dominates the parcel dimensioning robot market, driven by the presence of major logistics firms, advanced technology adoption, and a mature e-commerce ecosystem. However, Asia Pacific is emerging as the fastest-growing region, fueled by rapid urbanization, the proliferation of online shopping, and significant investments in logistics infrastructure. Europe also represents a substantial market share, thanks to stringent regulatory requirements for accurate parcel measurement and the widespread adoption of automation in warehousing and distribution. Meanwhile, regions such as Latin America and the Middle East & Africa are gradually embracing parcel dimensioning robots as part of broader digital transformation initiatives, although growth in these regions is somewhat tempered by budget constraints and infrastructural challenges.

The Property Management Market Share size & share value expected to touch USD 56.78 billion by 2034, to grow at a CAGR of 8.1% during the forecast period.

In 2023, the Property Management Market reached a value of USD 22.30 billion, and it is projected to surge to USD 39.32 billion by 2030.

The property and community management market is a vast and rapidly growing industry, with a global value estimated at $56.62 billion in 2025. Driven by factors such as urbanization, rising disposable incomes, and increasing demand for efficient and professional property management services, the market is projected to expand at a CAGR of 3.92% during the forecast period 2025-2033, reaching a value of $76.12 billion by 2033. Key trends shaping the market include the integration of technology into property management, the growing popularity of hybrid management services, and the increasing demand for personalized and value-added services. North America is the largest regional market, accounting for a significant share of the global revenue. Other key regions include Europe, Asia Pacific, and the Middle East & Africa, which are also experiencing steady growth due to factors such as increasing urbanization and rising demand for professional property management services. Recent developments include: Recent developments in the Property and Community Management Market reflect a dynamic landscape shaped by technological advancements and evolving consumer expectations. The trend toward digital solutions has accelerated, with property management software gaining significant traction to enhance operational efficiency and tenant engagement. Post-pandemic, there has been a marked increase in demand for sustainable and smart buildings, prompting companies to invest in eco-friendly initiatives and innovative technologies., Additionally, the rise of remote work has influenced property dynamics, leading to a reevaluation of space utilization in both residential and commercial sectors. Regulatory changes in various regions are also impacting market strategies as organizations adapt to new compliance requirements. Furthermore, mergers and acquisitions have been prominent as companies seek to expand their service offerings and market presence amidst heightened competition. As the market continues to evolve, stakeholders are focusing on delivering enhanced customer experiences and leveraging data analytics to make informed decisions, setting the stage for sustainable growth in the coming years.. Key drivers for this market are: 1. AIdriven analytics for property management 2. Sustainable and eco-friendly building solutions 3. Smart home technology integration 4. Enhanced tenant engagement platforms 5. Realtime property data access and insights. Potential restraints include: 1. Technological advancements 2. Increasing urbanization 3. Rising real estate investments 4. Growing demand for automation 5. Enhanced tenant experience.