To access parcel information:Enter an address or zoom in by using the +/- tools or your mouse scroll wheel. Parcels will draw when zoomed in.Click on a parcel to display a popup with information about that parcel.Click the "Basemap" button to display background aerial imagery.From the "Layers" button you can turn map features on and off.Complete Help (PDF)Parcel Legend:Full Map LegendAbout this ViewerThis viewer displays land property boundaries from assessor parcel maps across Massachusetts. Each parcel is linked to selected descriptive information from assessor databases. Data for all 351 cities and towns are the standardized "Level 3" tax parcels served by MassGIS. More details ...Read about and download parcel dataUpdatesV 1.1: Added 'Layers' tab. (2018)V 1.2: Reformatted popup to use HTML table for columns and made address larger. (Jan 2019)V 1.3: Added 'Download Parcel Data by City/Town' option to list of layers. This box is checked off by default but when activated a user can identify anywhere and download data for that entire city/town, except Boston. (March 14, 2019)V 1.4: Data for Boston is included in the "Level 3" standardized parcels layer. (August 10, 2020)V 1.4 MassGIS, EOTSS 2021

This collection contains the names and descriptions of taxable property of nearly 38,000 individuals who resided in 152 Massachusetts towns in 1771. Data items include type and value (in pounds, shillings, and pence) of real estate, buildings, and other assets, as well as tabulation of livestock and farm commodities produced. Specific variables pertaining to value of real estate, buildings, and other assets include annual worth of whole real estate, tons of vessels, value of trading stock, value of factorage or commissions, value of money lent at interest, and types of buildings (e.g., tanhouses, stillhouses, warehouses, gristmills, superficial feet of wharf, ironworks). With respect to tabulation of livestock, variables provide information on number of horses, oxen, cows, goats, sheep, and swine. Data describing farm commodities cover acres of pasture, number of cows the pasture will keep, acres of tillage, bushels of grain produced per year, barrels of cider produced per year, acres of salt marsh, tons of salt marsh hay per year, acres of English and upland mowing land, tons of English and upland hay per year, acres of fresh meadow, and tons of fresh meadow hay per year. Other variables specify taxpayer name, title (e.g., widow, doctor, blacksmith), and status of taxpayer (e.g., decedent, landlord, free Negro).

Data, statistics and adopted local options related to property taxes

Explore the historical Whois records related to free-mass-real-estate-search.com (Domain). Get insights into ownership history and changes over time.

Town of Boylston, MA GIS Viewer

Massachusetts single-home parcels (2019) with the following variables fips: County code bg_id_2016: Block Group ID 2016. Block group identifier for 2016 depth_bg_all: Depth Block Group All. Mean flood depth in 500-yr return period at block group level depth_bg_int: Depth Block Group Intensive. Mean flood depth in 500-yr return period of parcels at risk at block group level only depth_bl_all: Depth Block All. Mean flood depth in 500-yr return period at block level depth_bl_int: Depth Block Intensive. Mean flood depth in 500-yr return period of parcels at risk at block level only fld_eal_base_mid_fs_2020_m: Flood Expected Annual Loss Mid Damage Scenario First Street 2020 Mid Hazard Scenario.Eexpected annual loss estimates for the parcel in the mid damage scenario with First Street Foundation 'mid' 2020 scenario fld_eal_base_mid_p_h_bg_a_mv: Expected annual loss estimate for the parcel in the mid damage scenario using parcel level hazard and block group based aggregated structure inventory (with mean block group structure value) fld_eal_base_mid_bg_d_int_mv: Expected annual loss estimate for the parcel in the mid damage scenario using block group based average depth in each return period for homes at risk and block group based aggregated structure inventory (with mean block group structure value) fld_eal_base_mid_bg_d_all_mv: Expected annual loss estimate for the parcel in the mid damage scenario using block group based average depth in each return period for all homes and block group based aggregated structure inventory (with mean block group structure value) fld_eal_base_mid_bl_d_int_mv: Same as fld_eal_base_mid_bg_d_int_mv, but with block level used for average depth fld_eal_base_mid_bl_d_all_mv: Same as fld_eal_base_mid_bg_d_all_mv, but with block level used for average depth Parcel-level flood depth estimates were licensed from the First Street Foundation (FSF). If you have an active data license agreement with FSF (free of charge), please contact Adam Pollack to request these data. Expected annual loss variables are restricted to mid-damage scenario as it represents the methods and assumptions seen throughout flood risk assessments. Block group and county .gpkg files accompany the parcel data to allow for plotting of variables at aggregate scales

House prices grew year-on-year in most states in the U.S. in the third quarter of 2024. The District of Columbia was the only exception, with a decline of ***** percent. The annual appreciation for single-family housing in the U.S. was **** percent, while in Hawaii—the state where homes appreciated the most—the increase exceeded ** percent. How have home prices developed in recent years? House price growth in the U.S. has been going strong for years. In 2024, the median sales price of a single-family home exceeded ******* U.S. dollars, up from ******* U.S. dollars five years ago. One of the factors driving house prices was the cost of credit. The record-low federal funds effective rate allowed mortgage lenders to set mortgage interest rates as low as *** percent. With interest rates on the rise, home buying has also slowed, causing fluctuations in house prices. Why are house prices growing? Many markets in the U.S. are overheated because supply has not been able to keep up with demand. How many homes enter the housing market depends on the construction output, whereas the availability of existing homes for purchase depends on many other factors, such as the willingness of owners to sell. Furthermore, growing investor appetite in the housing sector means that prospective homebuyers have some extra competition to worry about. In certain metros, for example, the share of homes bought by investors exceeded ** percent in 2024.

City of Chicopee, MA GIS Viewer