In 2024, the average value of U.S. farm real estate was 4,170 U.S. dollars per acre. Compared to one decade earlier, the value has increased by almost 40 percent. Generally, the value of U.S. farm real estate has had an upward trend since 1970. U.S. farms The number of farms in the United States has conversely been decreasing each year, reaching about two million farms as of 2022. That year, Texas had the most farms out of any other U.S. state by far, with about 246,000 farms. Missouri and Iowa had the second and third most farms, though neither state exceeded 100,000 farms. Agricultural trade Agricultural products encompass any products from agricultural origin that are meant for human consumption or animal feed. Agricultural products can include livestock products or crops. In 2022, the U.S. exported about 196.4 billion U.S. dollars’ worth of agricultural goods worldwide, increasing from the previous several years. Mexico is a key destination for U.S. agricultural products and imported just over 28 billion dollars’ worth in 2022, more than Europe and Eurasia combined.

Value of farmland and buildings per acre, for Canada and the provinces at July 1 (in dollars).

The value per acre of farmland and buildings in New Brunswick increased by 594 dollars (+15.86 percent) compared to the previous year. Therefore, the value per acre in New Brunswick reached a peak in 2023 with 4,340 dollars. Notably, the value per acre continuously increased over the last years.Find more key insights for the value per acre of farmland and buildings in countries and regions like value per acre of farmland and buildings (Prince Edward Island), value per acre of farmland and buildings (Alberta), and value per acre of farmland and buildings (Nova Scotia).

The value per acre of farmland and buildings in Quebec increased by 875 dollars (+9.63 percent) in 2023. Therefore, the value per acre in Quebec reached a peak in 2023 with 9,964 dollars. Notably, the value per acre continuously increased over the last years.Find more key insights for the value per acre of farmland and buildings in countries and regions like value per acre of farmland and buildings (British Columbia), value per acre of farmland and buildings (Saskatchewan), and value per acre of farmland and buildings (Prince Edward Island).

This map displays property value per acre by Census tract in the greater Metro region. Property values were derived from County assessor records.

The value per acre of farmland and buildings in Nova Scotia increased by 254 dollars (+6.94 percent) in 2023. While the growth is slowing down, with 3,913 dollars, the value per acre is at its peak in the observed period. Notably, the value per acre continuously increased over the last years.Find more key insights for the value per acre of farmland and buildings in countries and regions like value per acre of farmland and buildings (Canada), value per acre of farmland and buildings (Prince Edward Island), and value per acre of farmland and buildings (Saskatchewan).

In 2023, the value per acre of farmland and buildings in Alberta increased by 233 dollars (+6.67 percent) compared to 2022. With 3,728 dollars, the value per acre thereby reached its highest value in the observed period. Notably, the value per acre continuously increased over the last years.Find more key insights for the value per acre of farmland and buildings in countries and regions like value per acre of farmland and buildings (New Brunswick), value per acre of farmland and buildings (Nova Scotia), and value per acre of farmland and buildings (Ontario).

The latest closing stock price for ACRES Commercial Realty as of May 28, 2025 is 18.77. An investor who bought $1,000 worth of ACRES Commercial Realty stock at the IPO in 2006 would have $-235 today, roughly 0 times their original investment - a -1.40% compound annual growth rate over 19 years. The all-time high ACRES Commercial Realty stock closing price was 40.95 on July 31, 2013. The ACRES Commercial Realty 52-week high stock price is 23.81, which is 26.9% above the current share price. The ACRES Commercial Realty 52-week low stock price is 12.33, which is 34.3% below the current share price. The average ACRES Commercial Realty stock price for the last 52 weeks is 16.75. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

This product provides information on Alberta Farm capital and Value Per Acre of Farm Land and Building, at July 1, for a 30-year period. Detailed values on Livestock and Poultry, Land and Buildings, Machinery and Equipment for the Total Farm Capital, and Value of Farm Land and Buildings per acre is provided.

Excel Application Tool for Agricultural Water Use Data 2006 - 2010 Department of water resources, Water Use Efficiency Branch, Water Use Unit program, has developed an Excel application tool, which calculates annual estimates of irrigated crop area (ICA), crop evapotranspiration (ETc), effective precipitation (Ep), evapotranspiration of applied water (ETaw), consumed fraction (CF), and applied water (AW) for 20 crop categories by combinations of detailed analysis unit and county (DAUCo) over California. The 2006 – 2010 agricultural water use data were developed by all 4 DWR’s Regional Offices (Northern Region Office, North Central Region Office, South Central Region Office, and Southern Region Office) using California Ag Water Use model for updating the information in the California Water Plan Updates-2013. Therefore, this current Excel application just covers agricultural water use data from the period of 2006 -2010 water years. It should also be mentioned that there are 2 other similar Excel application tools that cover 1998 - 2005 and 2011 - 2015 agricultural water use data for the California Water plan Updates - 2003/2009 and 2018, respectively. Outputs data provided from this Excel application include ICA in acres, EP, both in unit values (Acre feet per acre) & volume (acre feet), ETc both in unit values (acre feet per acre), & volume (acre feet), ETaw, both in unit value (acre feet per acre), & volume (acre feet), AW, both in unit value (acre feet per acre) & volume (acre feet), CF (in percentage %) for WYs 2006 – 2010 at Detailed Analysis Unit by County (DAUCO), Detailed Analysis Unit (DAU), County, Planning Area (PA), Hydrological Region (HR), and Statewide spatial scales using the dropdown menu. Furthermore, throughout the whole process numerous computations and aggregation equations in various worksheets are included in this Excel application. And for obvious reasons all worksheets in this Excel application are hidden and password protected. So, accidentally they won’t be tampered with or changed/revised. Following are definitions of terminology and listing of 20 crop categories used in this Excel application. Study Area Maps The California Department of Water Resources (DWR) subdivided California into study areas for planning purposes. The largest study areas are the ten hydrologic regions (HR), The next level of delineation is the planning area (PAS), which are composed of multiple detailed analysis units (DAU). The DAUs are often split by county boundaries, so the smallest study areas used by DWR is DAU/County. Many planning studies begin at the Dau or PA level, and the results are aggregated into hydrologic regions for presentation. Irrigated Crop Area (ICA) in acres The total amount of land irrigated for the purpose of growing a crop (includes multi-cropping acres) Multi-cropping (MC) in acres A section of land that has more than one crop grown on it in a year, this included one crop being planted more than once in a season in the same field. Evapotranspiration (ET) Combination of soil evaporation and transpiration is referred to as evapotranspiration or ET. The rate of evapotranspiration from the plant-soil environment is primarily dependent on the energy available from solar radiation but is also dependent on relative humidity, temperature, cloud cover, and wind speed. It is an indication for how much your crops, lawn, garden, and trees need for healthy growth and productivity. Reference Evapotranspiration (ETo) Reference evapotranspiration (ETo) is an estimate of the evapotranspiration of a 10-15 cm tall cool season grass and not lacking for water. The daily Standardized Reference Evapotranspiration for short canopies is calculated using the Penman-Monteith (PM) equation (Monteith, 1965) as presented in the United Nations FAO Irrigation and Drainage Paper (FAO 56) by Allen et al. (1988). Penman-Monteith Equation (PM) Equation is used to estimate ETo when daily solar radiation, maximum and minimum air temperature, dew point temperature, and wind speed data are available. It is recommended by both the America Society of Civil Engineers and United Nations FAO for estimating ETo. Crop Evapotranspiration (ETc), both in unit value (acre feet per acre), & volume (acre feet) Commonly known as potential evapotranspiration, which is the amount of water used by plants in transpiration and evaporation of water from adjacent plants and soil surfaces during a specific time period. ETc is computed as the product of reference evapotranspiration (ETo) and a crop coefficient (Kc) value, i.e., ETc = ETo x Kc. One Acre foot equals about 325851 gallons, or enough water to cover an acre of land about the size of a football field, one foot deep. Crop Coefficient (Kc) Relates ET of a given crop at a specific time in its growth stage to a reference ET. Incorporates effects of crop growth state, crop density, and other cultural factors affecting ET. The reference condition has been termed "potential" and relates to grass. The main sources of Kc information are the FAO 24 (Doorenbos and Pruitt 1977) and FAO 56 (Allen et al. 1988) papers on evapotranspiration. Effective Precipitation (Ep), both in unit value (acre feet per acre), & volume (acre feet) Fraction of rainfall effectively used by a crop, rather than mobilized as runoff or deep percolation Evapotranspiration of Applied Water (ETaw), both in unit value (acre feet per acre), & volume (acre feet) Net amount of irrigation water needed to produce a crop (not including irrigation application efficiency). Soil characteristic data and crop information with precipitation and ETc data are used to generate hypothetical water balance irrigation schedules to determine ETaw. Applied Water (AW), both in unit value (acre feet per acre), & volume (acre feet) Estimated as the ETaw divided by the mean seasonal irrigation system application efficiency. Consumed Fraction (CF) in percentage (%) An estimate of how irrigation water is efficiently applied on fields to meet crop water, frost protection, and leaching requirements for a whole season or full year. Crop category numbers and descriptions Crop Category Crop category description. 1 Grain (wheat, wheat_winter, wheat_spring, barley, oats, misc._grain & hay) 2 Rice (rice, rice_wild, rice_flooded, rice-upland) 3 Cotton 4 Sugar beet (sugar-beet, sugar_beet_late, sugar_beet_early) 5 Corn 6 Dry beans 7 Safflower 8 Other field crops (flax, hops, grain_sorghum, sudan,castor-beans, misc._field, sunflower, sorghum/sudan_hybrid, millet, sugarcane 9 Alfalfa (alfalfa, alfalfa_mixtures, alfalfa_cut, alfalfa_annual) 10 Pasture (pasture, clover, pasture_mixed, pasture_native, misc._grasses, turf_farm, pasture_bermuda, pasture_rye, klein_grass, pasture_fescue) 11 Tomato processing (tomato_processing, tomato_processing_drip, tomato_processing_sfc) 12 Tomato fresh (tomato_fresh, tomato_fresh_drip, tomato_fresh_sfc) 13 Cucurbits (cucurbits, melons, squash, cucumbers, cucumbers_fresh_market, cucumbers_machine-harvest, watermelon) 14 Onion & garlic (onion & garlic, onions, onions_dry, onions_green, garlic) 15 Potatoes (potatoes, potatoes_sweet) 16 Truck_Crops_misc (artichokes, truck_crops, asparagus, beans_green, carrots, celery, lettuce, peas, spinach, bus h_berries, strawberries, peppers, broccoli, cabbage, cauliflower) 17 Almond & pistachios 18 Other Deciduous (apples, apricots, walnuts, cherries, peaches, nectarines, pears, plums, prunes, figs, kiwis) 19 Citrus & subtropical (grapefruit, lemons, oranges, dates, avocados, olives, jojoba) 20 Vineyards (grape_table, grape_raisin, grape_wine)

ACRES Commercial Realty PE ratio as of May 29, 2025 is 16.98. Current and historical p/e ratio for ACRES Commercial Realty (ACR) from 2010 to 2025. The price to earnings ratio is calculated by taking the latest closing price and dividing it by the most recent earnings per share (EPS) number. The PE ratio is a simple way to assess whether a stock is over or under valued and is the most widely used valuation measure. Please refer to the Stock Price Adjustment Guide for more information on our historical prices.

The latest closing stock price for Ares Commercial Real Estate as of May 27, 2025 is 4.67. An investor who bought $1,000 worth of Ares Commercial Real Estate stock at the IPO in 2012 would have $-160 today, roughly 0 times their original investment - a -1.34% compound annual growth rate over 13 years. The all-time high Ares Commercial Real Estate stock closing price was 11.57 on April 14, 2022. The Ares Commercial Real Estate 52-week high stock price is 7.99, which is 71.1% above the current share price. The Ares Commercial Real Estate 52-week low stock price is 3.35, which is 28.3% below the current share price. The average Ares Commercial Real Estate stock price for the last 52 weeks is 6.13. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

Brazil Land Prices: Average Price: Paid by Producer: Acre data was reported at 2,000.000 BRL/ha in Aug 2018. This stayed constant from the previous number of 2,000.000 BRL/ha for Jul 2017. Brazil Land Prices: Average Price: Paid by Producer: Acre data is updated monthly, averaging 2,000.000 BRL/ha from Jul 2017 (Median) to Aug 2018, with 2 observations. The data reached an all-time high of 2,000.000 BRL/ha in Aug 2018 and a record low of 2,000.000 BRL/ha in Aug 2018. Brazil Land Prices: Average Price: Paid by Producer: Acre data remains active status in CEIC and is reported by National Supply Company. The data is categorized under Brazil Premium Database’s Agriculture Sector – Table BR.RIH004: Land Prices: Average Price: Paid by Producer. The prices correspond to average price of bare land which is the land without any improvement or processing (including plantations) paid by the producers in different states in Brazil.

In 2023, the value per acre of farmland and buildings in British Columbia remained nearly unchanged at around 10,056 dollars. Nevertheless, 2023 still represents a peak in the value per acre in British Columbia. Find more key insights for the value per acre of farmland and buildings in countries and regions like value per acre of farmland and buildings (New Brunswick), value per acre of farmland and buildings (Prince Edward Island), and value per acre of farmland and buildings (Alberta).

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public. Other sections: Spatial Data Organization: Direct_Spatial_Reference_Method: Vector Point_and_Vector_Object_Information: SDTS_Terms_Description: SDTS_Point_and_Vector_Object_Type: G-polygon Point_and_Vector_Object_Count: Varies by Year Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Map_Projection: Map_Projection_Name:Albers Conical Equal Area Albers_Conical_Equal_Area: Albers Conical Equal Area Standard_Parallel: 34.000000 Standard_Parallel: 40.500000 Longitude_of_Central_Meridian: -120.000000 Latitude_of_Projection_Origin: 0.000000 False_Easting: 0.000000 False_Northing: -4000000.000000 Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method: coordinate pair Coordinate_Representation: Abscissa_Resolution: 0.000256Ordinate_Resolution: 0.000256 Planar_Distance_Units: meters Geodetic_Model: Horizontal_Datum_Name: North American Datum of 1927 Ellipsoid_Name: Clarke 1866 Semi-major_Axis: 6378206.400000 Denominator_of_Flattening_Ratio: 294.978698 Vertical_Coordinate_System_Definition: Altitude_System_Definition: Altitude_Resolution: 0.000010 Altitude_Encoding_Method: Explicit elevation coordinate included with horizontal coordinates Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Label: Important Farmland Categories Entity_Definition: Technical ratings of the soils and current land use information are combined to determine the appropriate map category. Definition_Source: Farmland Mapping and Monitoring Program Attribute: Attribute_Label: OBJECTID Attribute_Definition: Internal feature number. Attribute_Definition_Source: ESRI Attribute_Domain_Values: Unrepresentable_Domain: Sequential unique whole numbers that are automatically generated. Attribute: Attribute_Label: Shape Attribute_Definition: Feature geometry. Attribute_Definition_Source: ESRI Attribute_Domain_Values: Unrepresentable_Domain: Coordinates defining the features. Attribute: Attribute_Label: POLYGON_TY Attribute_Definition: Identifies the mapping categories used by the Farmland Mapping and Monitoring Program. Attribute_Definition_Source: Definitions were developed by the USDA-NRCS as part of their nationwide Land Inventory and Monitoring (LIM) system. Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Prime Farmland (P) Enumerated_Domain_Value_Definition: Irrigated land with the best combination of physical and chemical features able to sustain long term production of agricultural crops. This land has the soil quality, growing season, and moisture supply needed to produce sustained high yields. Land must have been used for production of irrigated crops at some time during the four years prior to the mapping date. Domain Value Attribute: Enumerated_Domain: Enumerated_Domain_Value: Farmland of Statewide Importance (S) Enumerated_Domain_Value_Definition: Irrigated land similar to Prime Farmland that has a good combination of physical and chemical characteristics for the production of agricultural crops. This land has minor shortcomings, such as greater slopes or less ability to store soil moisture than Prime Farmland. Land must have been used for production of irrigated crops at some time during the four years prior to the mapping date. Domain Value Attribute: Enumerated_Domain: Enumerated_Domain_Value: Unique Farmland (U) Enumerated_Domain_Value_Definition: Lesser quality soils used for the production of the state's leading agricultural crops. This land is usually irrigated, but may include non-irrigated orchards or vineyards as found in some climatic zones in California. Land must have been cropped at some time during the four years prior to the mapping date. Domain Value Attribute: Enumerated_Domain: Enumerated_Domain_Value: Farmland of Local Importance (L) Enumerated_Domain_Value_Definition: Lands that do not qualify for the Prime, Statewide, or Unique designation but are considered Existing Agricultural Lands, or Potential Agricultural Lands, in the Agricultural Land Element of the County General Plan. Timberlands are excluded. Domain Value Attribute: Enumerated_Domain: Enumerated_Domain_Value: Grazing Land (G) Enumerated_Domain_Value_Definition: Land on which the existing vegetation is suited to the grazing of livestock. This category is used only in California and was developed in cooperation with the California Cattlemen's Association, University of California Cooperative Extension, and other groups interested in the extent of grazing activities. Domain Value Attribute: Enumerated_Domain: Enumerated_Domain_Value: Urban and Built-Up Land (D) Enumerated_Domain_Value_Definition: Urban and Built-Up land is occupied by structures with a building density of at least 1 unit to 1.5 acres, or approximately 6 structures to a 10-acre parcel. Common examples include residential, industrial, commercial, institutional facilities, cemeteries, airports, golf courses, sanitary landfills, sewage treatment, and water control structures. Domain Value Attribute: Enumerated_Domain: Enumerated_Domain_Value: Other Land (X) Enumerated_Domain_Value_Definition: Land which does not meet the criteria of any other category. Typical uses include low density rural development, heavily forested land, mined land, or government land with restrictions on use. Domain Value Attribute: Enumerated_Domain: Enumerated_Domain_Value: Water (W) Enumerated_Domain_Value_Definition: Water areas with an extent of at least 40 acres. Domain Value Attribute: Enumerated_Domain: Enumerated_Domain_Value: Area not mapped (Z) Enumerated_Domain_Value_Definition: Area which falls outside of the NRCS soil survey. Not mapped by the FMMP. Domain Value Attribute: Attribute: Attribute_Label: POLYGON_AC Attribute_Definition: The acreage of the polygon feature. Attribute_Definition_Source: Computer calculated. Attribute: Attribute_Label: COUNTY_NAM Attribute_Definition: County name identified by a three letter abbreviation. Attribute_Definition_Source: County abbreviations are in the text file located at the following url: ftp://consrv.ca.gov/pub/dlrp/FMMP/county_index.txt Attribute_Domain_Values: Unrepresentable_Domain: Coordinates defining the features. Attribute: Attribute_Label: UPD_YEAR Attribute_Definition: The year the data was captured. Attribute_Definition_Source: FMMP updates their data biennially. Attribute: Attribute_Label: SHAPE_LENG Attribute_Definition: Perimeter of the polygon feature in meters. Attribute_Definition_Source: Computer calculated. Attribute_Domain_Values: Unrepresentable_Domain: Positive real numbers that are automatically generated. Attribute: Attribute_Label: SHAPE_AREA Attribute_Definition: Area of feature in meters squared. Attribute_Definition_Source: Computer calculated. Attribute_Domain_Values: Unrepresentable_Domain: Positive real numbers that are automatically generated.

Parcels and property data maintained and provided by Lee County Property Appraiser are converted to points. Property attribute data joined to parcel GIS layer by Lee County Government GIS. This dataset is generally used in spatial analysis.Process description: Parcel polygons, condominium points and property data provided by the Lee County Property Appraiser are processed by Lee County's GIS Department using the following steps:Join property data to parcel polygons Join property data to condo pointsConvert parcel polygons to points using ESRI's ArcGIS tool "Feature to Point" and designate the "Source" field "P".Load Condominium points into this layer and designate the "Source" field "C". Add X/Y coordinates in Florida State Plane West, NAD 83, feet using the "Add X/Y" tool.Projected coordinate system name: NAD_1983_StatePlane_Florida_West_FIPS_0902_FeetGeographic coordinate system name: GCS_North_American_1983

 Name
 Type
 Length
 Description


 STRAP
 String
 25
 17-digit Property ID (Section, Township, Range, Area, Block, Lot)


 BLOCK
 String
 10
 5-digit portion of STRAP (positions 9-13)


 LOT
 String
 8
 Last 4-digits of STRAP


 FOLIOID
 Double
 8
 Unique Property ID


 MAINTDATE
 Date
 8
 Date LeePA staff updated record


 MAINTWHO
 String
 20
 LeePA staff who updated record


 UPDATED
 Date
 8
 Data compilation date


 HIDE_STRAP
 String
 1
 Confidential parcel ownership


 TRSPARCEL
 String
 17
 Parcel ID sorted by Township, Range & Section


 DORCODE
 String
 2
 Department of Revenue. See https://leepa.org/Docs/Codes/DOR_Code_List.pdf


 CONDOTYPE
 String
 1
 Type of condominium: C (commercial) or R (residential)


 UNITOFMEAS
 String
 2
 Type of Unit of Measure (ex: AC=acre, LT=lot, FF=frontage in feet)


 NUMUNITS
 Double
 8
 Number of Land Units (units defined in UNITOFMEAS)


 FRONTAGE
 Integer
 4
 Road Frontage in Feet


 DEPTH
 Integer
 4
 Property Depth in Feet


 GISACRES
 Double
 8
 Total Computed Acres from GIS


 TAXINGDIST
 String
 3
 Taxing District of Property


 TAXDISTDES
 String
 60
 Taxing District Description


 FIREDIST
 String
 3
 Fire District of Property


 FIREDISTDE
 String
 60
 Fire District Description


 ZONING
 String
 10
 Zoning of Property


 ZONINGAREA
 String
 3
 Governing Area for Zoning


 LANDUSECOD
 SmallInteger
 2
 Land Use Code


 LANDUSEDES
 String
 60
 Land Use Description


 LANDISON
 String
 5
 BAY,CANAL,CREEK,GULF,LAKE,RIVER & GOLF


 SITEADDR
 String
 55
 Lee County Addressing/E911


 SITENUMBER
 String
 10
 Property Location - Street Number


 SITESTREET
 String
 40
 Street Name


 SITEUNIT
 String
 5
 Unit Number


 SITECITY
 String
 20
 City


 SITEZIP
 String
 5
 Zip Code


 JUST
 Double
 8
 Market Value


 ASSESSED
 Double
 8
 Building Value + Land Value


 TAXABLE
 Double
 8
 Taxable Value


 LAND
 Double
 8
 Land Value


 BUILDING
 Double
 8
 Building Value


 LXFV
 Double
 8
 Land Extra Feature Value


 BXFV
 Double
 8
 Building Extra Feature value


 NEWBUILT
 Double
 8
 New Construction Value


 AGAMOUNT
 Double
 8
 Agriculture Exemption Value


 DISAMOUNT
 Double
 8
 Disability Exemption Value


 HISTAMOUNT
 Double
 8
 Historical Exemption Value


 HSTDAMOUNT
 Double
 8
 Homestead Exemption Value


 SNRAMOUNT
 Double
 8
 Senior Exemption Value


 WHLYAMOUNT
 Double
 8
 Wholly Exemption Value


 WIDAMOUNT
 Double
 8
 Widow Exemption Value


 WIDRAMOUNT
 Double
 8
 Widower Exemption Value


 BLDGCOUNT
 SmallInteger
 2
 Total Number of Buildings on Parcel


 MINBUILTY
 SmallInteger
 2
 Oldest Building Built


 MAXBUILTY
 SmallInteger
 2
 Newest Building Built


 TOTALAREA
 Double
 8
 Total Building Area


 HEATEDAREA
 Double
 8
 Total Heated Area


 MAXSTORIES
 Double
 8
 Tallest Building on Parcel


 BEDROOMS
 Integer
 4
 Total Number of Bedrooms


 BATHROOMS
 Double
 8
 Total Number of Bathrooms / Not For Comm


 GARAGE
 String
 1
 Garage on Property 'Y'


 CARPORT
 String
 1
 Carport on Property 'Y'


 POOL
 String
 1
 Pool on Property 'Y'


 BOATDOCK
 String
 1
 Boat Dock on Property 'Y'


 SEAWALL
 String
 1
 Sea Wall on Property 'Y'


 NBLDGCOUNT
 SmallInteger
 2
 Total Number of New Buildings on ParcelTotal Number of New Buildings on Parcel


 NMINBUILTY
 SmallInteger
 2
 Oldest New Building Built


 NMAXBUILTY
 SmallInteger
 2
 Newest New Building Built


 NTOTALAREA
 Double
 8
 Total New Building Area


 NHEATEDARE
 Double
 8
 Total New Heated Area


 NMAXSTORIE
 Double
 8
 Tallest New Building on Parcel


 NBEDROOMS
 Integer
 4
 Total Number of New Bedrooms


 NBATHROOMS
 Double
 8
 Total Number of New Bathrooms/Not For Comm


 NGARAGE
 String
 1
 New Garage on Property 'Y'


 NCARPORT
 String
 1
 New Carport on Property 'Y'


 NPOOL
 String
 1
 New Pool on Property 'Y'


 NBOATDOCK
 String
 1
 New Boat Dock on Property 'Y'


 NSEAWALL
 String
 1
 New Sea Wall on Property 'Y'


 O_NAME
 String
 30
 Owner Name


 O_OTHERS
 String
 120
 Other Owners


 O_CAREOF
 String
 30
 In Care Of Line


 O_ADDR1
 String
 30
 Owner Mailing Address Line 1


 O_ADDR2
 String
 30
 Owner Mailing Address Line 2


 O_CITY
 String
 30
 Owner Mailing City


 O_STATE
 String
 2
 Owner Mailing State


 O_ZIP
 String
 9
 Owner Mailing Zip


 O_COUNTRY
 String
 30
 Owner Mailing Country


 S_1DATE
 Date
 8
 Most Current Sale Date > $100.00


 S_1AMOUNT
 Double
 8
 Sale Amount


 S_1VI
 String
 1
 Sale Vacant or Improved


 S_1TC
 String
 2
 Sale Transaction Code


 S_1TOC
 String
 2
 Sale Transaction Override Code


 S_1OR_NUM
 String
 13
 Original Record (Lee County Clerk)


 S_2DATE
 Date
 8
 Previous Sale Date > $100.00


 S_2AMOUNT
 Double
 8
 Sale Amount


 S_2VI
 String
 1
 Sale Vacant or Improved


 S_2TC
 String
 2
 Sale Transaction Code


 S_2TOC
 String
 2
 Sale Transaction Override Code


 S_2OR_NUM
 String
 13
 Original Record (Lee County Clerk)


 S_3DATE
 Date
 8
 Next Previous Sale Date > $100.00


 S_3AMOUNT
 Double
 8
 Sale Amount


 S_3VI
 String
 1
 Sale Vacant or Improved


 S_3TC
 String
 2
 Sale Transaction Code


 S_3TOC
 String
 2
 Sale Transaction Override Code


 S_3OR_NUM
 String
 13
 Original Record (Lee County Clerk)


 S_4DATE
 Date
 8
 Next Previous Sale Date > $100.00


 S_4AMOUNT
 Double
 8
 Sale Amount


 S_4VI
 String
 1
 Sale Vacant or Improved


 S_4TC
 String
 2
 Sale Transaction Code


 S_4TOC
 String
 2
 Sale Transaction Override Code


 S_4OR_NUM
 String
 13

Get statistical data on the estimated value and rental rate per acre of farmland by county and township in Ontario. Data includes: * total farm area * total value of land and buildings * area rented or leased from others * rental and leasing of land and buildings * estimated value of farmland and buildings per acre * estimated rental rate per acre * percentage of total farm area rented Statistical data are compiled to serve as a source of agriculture and food statistics for the province of Ontario. Data are prepared primarily by Statistics and Economics staff of the Ministry of Agriculture, Food and Rural Affairs, in co-operation with the Agriculture Division of Statistics Canada and various government departments and farm marketing boards.

Graph and download economic data for Value of Town Acres Sold on Bona Fide Deeds for Ohio (A02290US000OHA550NNBR) from 1877 to 1920 about land, OH, sales, and USA.

(DC)Gross Value Added: North: Acre: Service: Real Estate & Rentals: Intermediate Consumption data was reported at 5.887 BRL mn in 2009. This records a decrease from the previous number of 18.821 BRL mn for 2008. (DC)Gross Value Added: North: Acre: Service: Real Estate & Rentals: Intermediate Consumption data is updated yearly, averaging 9.933 BRL mn from Dec 2002 (Median) to 2009, with 8 observations. The data reached an all-time high of 42.632 BRL mn in 2003 and a record low of 2.914 BRL mn in 2006. (DC)Gross Value Added: North: Acre: Service: Real Estate & Rentals: Intermediate Consumption data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s National Accounts – Table BR.AG031: SNA 1993: Gross Value Added: North: Acre. The Brazilian Institute of Geography and Statistics has adopted for Regional Accounts 2010, parameters of the System of Quarterly National Accounts to replace the System of National Accounts, whose baseline is under review at this time. Thus, the estimates recently released present more limited level of detail, linked to the availability of the System of Quarterly National Accounts, and are therefore preliminary. In 2014, when the release of the new series in 2010 as reference base, these results will be restated permanently, integrated, too, the new series of the System of National Accounts of Brazil.

📈 Daily Historical Stock Price Data for ACRES Commercial Realty Corp. (2006–2025)

A clean, ready-to-use dataset containing daily stock prices for ACRES Commercial Realty Corp. from 2006-02-07 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: ACRES Commercial Realty Corp. Ticker Symbol: ACR Date Range: 2006-02-07 to 2025-05-28 Frequency: Daily Total Records:… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-acres-commercial-realty-corp-20062025.