Parcel Data Update - Jan 2020
People of Landgrid Parcel Data,
A summary of updates in December of 2019 and the upcoming pipeline for the month of January is below. Updated means the data was pulled from the source usually in the past 30 days and is in the latest version of the Loveland Standard Schema.
Buildings count & sq footage per parcel - This week we introduced 2 new premium attributes to our data - buildings count & sq footage per parcel. We derived these columns and they indicate how many buildings there are per parcel and how much area of the parcel is occupied by the building. This is part of our premium tier, much like the USPS vacancy columns. You can read up more about these columns in our Parcel Data FAQ's.
If you are interested in this data, please email us at firstname.lastname@example.org and we will get in touch with you right away.
USPS Vacancy, Residential indicators, and situs address normalization - Will be updated in January and made available in the dataset the first part of February. This means you can expect a full dataset export from us next month as every record will have been processed through the latest USPS dataset and the situs address status, and formatted address if available, will be updated in our data.
GeoDB File Format Deprecated - We plan to offer GeoDB files for the first 3 months of 2020 and then stop updating that file format. We encourage people to switch to the GeoPackage (.gpkg.zip) files as they offer all the advantages of GeoDB. See below. We are planning on retiring the GeoDB format in Q2 of 2020. Please contact us if it will not be possible to migrate to another file format in that time frame.
New GeoPackage Format Available - GeoPackage or GeoPKG, (.gpkg) files support geospatial data very well, with none of the limitations of shapefiles, and are faster to work with than geojsons. They are well supported by Esri tools and open source tools alike. They offer all the advantages of GeoDB files, but are better supported across the GIS tool landscape. As we sunset the GeoDB format this will be the format we suggest folks use unless a specific use case suggests another format would be better for them. (ND)GeoJSON, sql, csv, and shapefile formats will all continue to be options.
Coverage Report - Updated for this month and available here:
Landgrid Coverage Report
For all full dataset customers, the updated data is available for download to bulk data clients in these formats: GeoPKG .gpkg (suggested), GeoJSON, Shapefile, and Postgres SQL files. In addition, this data has been updated on the landrid.com website.
If your organization uses a custom export we are updating your data at the moment and if you don’t see the latest updates, please drop us a line.
A Data Dictionary for the Loveland Standard Schema is always available here:
Landgrid Standard Schema Data Dictionary.
A machine-readable version of this list is included in the `verse` table available in all the formats above as well as CSV format for use in spreadsheets. To find the latest updates in verse, sort by 'last_refresh' and use the 'filename_stem' column to identify the file.
Data updated from the county in December and live now:
California - San Mateo
Colorado - Adams, Alamosa, Arapahoe, Archuleta, Boulder, Broomfield, Clear Creek, Conejos, Costilla, Custer, Delta, Denver, Douglas, Eagle, El Paso, Fremont, Garfield, Gilpin, Grand, Gunnison, Huerfano, Jefferson, La Plata, Lake, Larimer, Las Animas, Logan, Mesa, Mineral, Moffat, Montezuma, Montrose, Morgan, Otero, Ouray, Park, Pitkin, Pueblo, Rio Blanco, Rio Grande, Routt, Saguache, San Juan, San Miguel, Sedgwick, Summit, Teller, Weld, Yuma
Florida - Alachua, Baker, Bay, Bradford, Brevard, Broward, Calhoun, Charlotte, Citrus, Clay, Collier, Columbia, DeSoto, Dixie, Duval, Escambia, Flagler, Franklin, Gadsden, Gilchrist, Glades, Gulf, Hamilton, Hardee, Hendry, Hernando, Highlands, Hillsborough, Holmes, Indian River, Jackson, Jefferson, Lafayette, Lake, Lee, Leon, Levy, Liberty, Madison, Manatee, Marion, Martin, Miami-Dade, Monroe, Nassau, Okaloosa, Okeechobee, Orange, Osceola, Palm Beach, Pasco, Pinellas, Polk, Putnam, Santa Rosa, Sarasota, Seminole, St. Johns, St. Lucie, Sumter, Suwannee, Taylor, Union, Volusia, Wakulla, Walton, Washington
Illinois - Calhoun, Gallatin, Jasper, Perry, Pike, Richland, Washington
Minnesota - Martin
Missouri - Audrain, Barton, Benton, Callaway, Camden, Carroll, Christian, Clark, Clinton, Crawford, Dade, DeKalb, Gentry, Greene, Grundy, Henry, Holt, Jackson, Jasper, Johnson, Knox, Lewis, Madison, Miller, Mississippi, Monroe, Morgan, Nodaway, Osage, Pemiscot, Randolph, Reynolds, Saline, Scott, St. Louis City, St. Louis, Stoddard, Texas, Vernon, Washington, Wayne, Worth
Mississippi - Holmes, Sunflower, Tunica
Ohio - Hardin
South Carolina - Aiken, Allendale, Anderson, Bamberg, Barnwell, Beaufort, Berkeley, Calhoun, Charleston, Cherokee, Chester, Chesterfield, Clarendon, Colleton, Darlington, Dillon, Dorchester, Edgefield, Fairfield, Florence, Georgetown, Greenwood, Hampton, Jasper, Kershaw, Lancaster, Laurens, Lee, Lexington, Marion, Marlboro, McCormick, Newberry, Oconee, Orangeburg, Pickens, Richland, Saluda, Spartanburg, Sumter, Union, Williamsburg, York
In the current pipeline for January
Indiana - Statewide
Michigan - Statewide
In the pipeline for February 2020
Based on feedback and county challenges, pipeline planning is always subject to change. As always, please contact us if you have any questions about accessing or using the data, if you find issues with any of our data, or you have any comments or questions about our data in specific areas or states. We also love to hear from you about which counties or regions you’d like to see us update next, as it helps inform our planning process.
Thank you for being a part of Loveland!