The Loveland Blog

April 2021 - Parcel Data Update

By Sahana Murthy on April 9, 2021 · How-To

Dear Friends of Loveland Parcel Data and landgrid.com,

A summary of updates in March of 2021 and the upcoming pipeline is below. 

Key Data Stats:

  • Average parcel age - 208 days, down from 209 last month. 
  • Average county age 258 days, down from 267 last month.
  • Added 936,443 parcels and refreshed 214 counties, added 52 new counties  since last month.
  • In Q1, we refreshed a total of 666 counties.


USPS Vacancy, Residential indicators: Now updated monthly. Updated in March 2021, next update in April.

Coverage Report: Updated for this month and available here:
https://docs.google.com/spreadsheets/d/1q0PZB72nO8935EMGmsh3864VjEAMUE-pdHcPkoAiS5c/edit#gid=333965283 


Full Dataset Export - We have exported the full dataset again this month for all clients to reflect improvements we made based on feedback regarding our Loveland Standardized Use Codes.

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 landgrid.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 Parcel Record Schema is always available here:
https://docs.google.com/spreadsheets/d/14RcBKyiEGa7q-SR0rFnDHVcovb9uegPJ3sfb3WlNPc0/

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 refreshed or added from the county in March and live now:
( Asterisk * indicates newly added county)
--------------------------------------------------

Alaska - Anchorage, Denali Borough*, Dillingham Census Area, Fairbanks North Star Borough, Haines Borough, Juneau, Kenai Peninsula Borough, Kodiak Island Borough, Matanuska-Susitna Borough, Nome Census Area, North Slope Borough, Petersburg*, Sitka, Skagway, Wrangell, Yakutat

California - Los Angeles

Colorado - Chaffee*, Prowers*

Iowa - Benton, Clay, Dickinson, Fayette, Howard, Jasper, Lyon, Mitchell, Poweshiek

Idaho - Ada, Adams, Bannock, Bear Lake, Benewah, Bingham, Blaine, Boise, Bonner, Bonneville, Boundary, Butte, Camas, Canyon, Caribou, Cassia, Clark, Clearwater, Custer, Elmore, Franklin, Fremont, Gem, Gooding, Idaho, Jefferson, Jerome, Kootenai, Latah, Lemhi, Lewis, Lincoln, Madison, Minidoka, Nez Perce, Oneida, Owyhee, Payette, Power, Shoshone, Teton, Twin Falls, Valley, Washington

Illinois - Cass*, Champaign, Christian, Macoupin, Montgomery*, Ogle

Indiana - Brown

Kansas - Chase, Doniphan, Harvey, Kingman, Marion, Ottawa, Reno, Republic

Michigan - Allegan, Baraga*, Berrien, Branch, Charlevoix, Cheboygan, Eaton, Emmet, Gladwin, Hillsdale, Ionia, Jackson, Kalamazoo, Kent, Keweenaw, Leelanau, Lenawee, Macomb, Midland, Missaukee, Montcalm, Muskegon, Newaygo, Oceana, Ogemaw*, Roscommon, St. Clair, St. Joseph, Washtenaw, Wayne

Minnesota - Blue Earth, Dakota, Douglas, Faribault, Grant, Houston, Kanabec*, Kittson, Lake of the Woods, Morrison, Murray, Pennington, Red Lake, Redwood, Roseau, Wabasha, Watonwan*

Missouri - Pettis, Platte

North Dakota - Burleigh, Emmons, Morton, Sheridan

Nebraska - Scotts Bluff

Nevada - Carson City, Churchill, Clark, Douglas, Elko, Eureka, Humboldt, Lander, Pershing, Washoe, White Pine

New York - Bronx, Kings, New York, Queens, Richmond

Ohio - Crawford, Lucas, Washington

Oklahoma (all newly added) - Adair, Atoka, Beaver, Blaine, Bryan, Carter, Cherokee, Choctaw, Cimarron, Cleveland, Comanche, Cotton, Craig, Creek, Custer, Delaware, Dewey, Ellis, Garfield, Garvin, Grady, Grant, Greer, Harmon, Harper, Hughes, Jefferson, Kay, Kingfisher, Latimer, Le Flore, Logan, Love, Major, Marshall, Mayes, McClain, McCurtain, McIntosh, Noble, Nowata, Okfuskee, Oklahoma, Okmulgee, Osage, Ottawa, Pawnee, Payne, Pittsburg, Pontotoc, Roger Mills, Seminole, Sequoyah, Stephens, Texas, Tillman, Tulsa, Wagoner, Washington, Washita, Woods, Woodward

Oregon - Washington

Pennsylvania - Clearfield

Rhode Island - Bristol, Kent, Newport, Providence, Washington

South Dakota (all newly added) - Brookings, Brown, Clark, Codington, Haakon, Harding, Hughes, Hyde, McCook, Walworth

Texas - Harris

Vermont - Addison, Bennington, Caledonia, Chittenden, Essex, Franklin, Grand Isle, Lamoille, Orange, Orleans, Rutland, Washington, Windham, Windsor

Wisconsin - Milwaukee


In the current pipeline for updating in April 2021
--------------------------------------------------
Indiana
Maryland
Puerto Rico


In the pipeline for updating in May 2021
--------------------------------------------------
Alabama
Connecticut
Texas


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, 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!

Happy Mapping!

 

 

March 2021 - Parcel Data Update

By Sahana Murthy on March 16, 2021 · How-To

Dear Friends of Loveland Parcel Data and landgrid.com,

A summary of updates in February of 2021 and the upcoming pipeline is below. 

Key Data Stats:

  • Average parcel age - 209 days, up from 198 last month.
  • Average county age - 267 days, down from 275 last month.
  • Added 105,129 parcels and refreshed 161 counties since last month.


USPS Vacancy, Residential indicators: Now updated monthly. Updated in February 2021, next update in March.

Coverage Report: Updated for this month and available here:
https://docs.google.com/spreadsheets/d/1q0PZB72nO8935EMGmsh3864VjEAMUE-pdHcPkoAiS5c/

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 landgrid.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:
https://docs.google.com/spreadsheets/d/14RcBKyiEGa7q-SR0rFnDHVcovb9uegPJ3sfb3WlNPc0/

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 refreshed or added from the county in February and live now:
( Asterisk * indicates newly added county)
--------------------------------------------------

Hawaii - Hawaii, Honolulu, Kalawao, Kauai, Maui
Illinois - Vermilion
Kentucky - Jefferson
Nebraska - Adams, Antelope, Arthur, Banner, Blaine, Boone, Box Butte, Boyd, Brown, Buffalo, Burt, Butler, Cass, Cedar, Chase, Cherry, Cheyenne, Clay, Colfax, Cuming, Custer, Dakota, Dawes, Dawson, Deuel, Dixon, Douglas, Fillmore, Franklin, Frontier, Furnas, Gage, Garden, Garfield, Gosper, Grant, Greeley, Hall, Hamilton, Harlan, Hayes, Hitchcock, Holt, Hooker, Howard, Jefferson, Johnson, Kearney, Keith, Keya Paha, Kimball, Knox, Lancaster, Lincoln, Logan, Loup, Madison, McPherson, Merrick, Morrill, Nance, Nemaha, Nuckolls, Otoe, Pawnee, Perkins, Phelps, Pierce, Platte, Polk, Red Willow, Richardson, Rock, Saline, Sarpy, Saunders, Seward, Sheridan, Sherman, Sioux, Stanton, Thayer, Thomas, Thurston, Valley, Washington, Wayne, Webster, Wheeler, York
Oregon - Benton
Pennsylvania - Adams, Allegheny, Beaver, Bedford, Berks, Blair, Bradford, Bucks, Butler, Cambria, Carbon, Centre, Chester, Clarion, Clinton, Columbia, Crawford, Cumberland, Dauphin, Delaware, Erie, Fayette, Forest, Franklin, Fulton, Greene, Huntingdon, Juniata, Lackawanna, Lancaster, Lawrence, Lebanon, Lehigh, Luzerne, Lycoming, McKean, Mercer, Mifflin, Monroe, Montgomery, Montour, Northampton, Northumberland, Perry, Philadelphia, Pike, Potter, Schuylkill, Snyder, Somerset, Sullivan, Susquehanna, Tioga, Union, Venango, Warren, Washington, Wayne, Westmoreland, Wyoming, York
Texas - Bexar
Wisconsin - Milwaukee

In the current pipeline for updating in March 2021
--------------------------------------------------
Alaska
Idaho
Minnesota
Oklahoma
Rhode Island
Vermont
Michigan


In the pipeline for updating in April 2021
--------------------------------------------------
Alabama
Connecticut
Texas


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, 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!

Happy Mapping!

 

Blake Girardot

blake@landgrid.com

Loveland Data Team

313-649-LAND

Loveland's Standardized Land Use Codes

By Ray Visser on February 19, 2021 · How-To

 

The parcel data made available by counties across the US varies widely in how land use is classified (if that information is available at all). Our standardized land use codes describe each parcel across five dimensions (Activity, Function, Structure, Site, and Ownership). These codes are 4-digit numbers, with the first digit denoting the broadest category, and each successive digit describing the parcel in more detail. For example, in the Activity dimension:

 

  • An Activity code of 3000 means 'Industrial, manufacturing, and waste-related activities'.

  • An Activity code of 3100 has one more digit of detail--it still falls under the above description, but it refers to 'Plant, factory, or heavy goods storage or handling activities'.

  • An Activity code of 3120 means 'Primarily goods storage or handling activities'--still industrial in nature, and related to plant, factory, or heavy goods storage or handling, but much more specific!

 

In the image below, where codes are indented to show their hierarchy, you can see how an Activity code of 3120 is just one of several different codes (e.g. 3110, 3120, 3210, 3220, 3230) at the same level of specificity (three digits):

 

A block of text, indented to show the hierarchical relationships between each line. The text reads "3000 # Industrial, manufacturing, and waste-related activities; 3100 # Plant, factory, or heavy goods storage or handling activities; 3110 # Primarily plant or factory-type activities; 3120 # Primarily goods storage or handling activities; 3200 # Solid waste management activities; 3210 # Solid waste collection and storage; 3220 # Landfilling or dumping; 3230 # Waste processing or recycling"

 

When you expand this potential for specificity across five dimensions, each intended to describe an aspect of the land use for a particular parcel, you can see how useful Loveland's standardized land use codes can be to identify land used for general or specific purposes.

 

Our standardized land use codes are derived from the Land-Based Classification System (LBCS), a method devised by the American Planning Association. Activity describes the actual human activities that take place on the parcel, while Function describes the broader economic or social use the parcel serves. Structure and Site describe the type of structure on a parcel and, independently, whether the parcel is developed or not. Ownership describes whether the owner of the parcel is a public or private entity.

 

The five-dimension approach gives a sense of what is actually there for any given parcel, and we fill as many of the five dimensions as we can when we apply our standardized land use codes. This work is done manually, county by county, matching each place's assessor-provided land use information (where available) to the applicable codes for each dimension. For example, a parcel that is used as a parking lot for a public school would be encoded like this using our system:

 

  • Activity: 5210 (Vehicular parking, storage, etc.)

  • Function: 6100 (Educational services)

  • Structure: 5200 (Automobile parking facilities)

  • Site: 5300 (Developed site with roads, train tracks, and other linear structures)

  • Ownership: 6100 (Nonprofit educational)

 

Whereas, in a traditional single-dimension system, a choice would have to be made between classifying that same school parking lot as simply "parking" or "educational", or possibly even just "public property".

 

Currently, in the top 50 metro areas in the country, over 80% of parcels have codes for Activity and Function, and over 60% have codes for Structure and Site. In Loveland's entire nationwide dataset of more than 147 million parcels, two-thirds of all parcels have a standardized land use code for Activity and Function. We continually add new places and fill in codes for existing ones. You can stay up to date on which places have standardized land use codes using our coverage report.

 

In addition to the standardized land use codes, our data also includes human-readable '_description' fields for each dimension. To use the same example from earlier, an 'lbcs_activity' value of 3120 would have an 'lbcs_activity_description' value of 'Primarily goods storage or handling'. We keep the standardized land use codes and text descriptions separate to allow for easier processing and sorting of our data.

 

Users of Loveland's data and the mapping platform can perform queries to find patterns across the dataset, or to count certain types of parcels. Our Border Parcels project shows how our standardized land use codes can be used to generate insights into how land is used across areas of interest that span multiple states and counties, each of which provided entirely separate and incompatible land use data.

 

 

Likewise, finding and mapping all the residential parcels in a city could help with understanding and tracking the spread of disease outbreaks like the current COVID-19 pandemic. If you are a local government or a fellow mapping and data company that could use parcel data to push forward your study, outreach efforts and research on COVID-19, or if you have questions about LBCS in general, please contact us at team@landgrid.com, or check out the parcel data FAQ.

 

Happy Mapping!

 

Ray Visser

ray@landgrid.com

Loveland Data Team

313-649-LAND

 

 

Jan 2021 - Parcel Data Update

By Sahana Murthy on January 15, 2021 · How-To

Dear Friends of Loveland Parcel Data and landgrid.com,

A summary of updates in December of 2020 and the upcoming pipeline is below. 

Key Data Stats:

  • Average parcel age - 205 days, up from 193 last month.
  • Average county age - 277 days, up from 254 last month.
  • Added 41,571 parcels and refreshed 82 counties since last month. 


In keeping with these stats, please take a moment to review our end of the year parcel data report from 2020 - This report shows all the key improvements we made to our data in 2020 - https://landgrid.com/reports/2020report 



USPS Vacancy, Residential indicators: Now updated monthly. Updated in December 2020, next update in January.

Coverage Report: Updated for this month and available here:
https://docs.google.com/spreadsheets/d/1q0PZB72nO8935EMGmsh3864VjEAMUE-pdHcPkoAiS5c/

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 landgrid.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:
https://docs.google.com/spreadsheets/d/14RcBKyiEGa7q-SR0rFnDHVcovb9uegPJ3sfb3WlNPc0/

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 refreshed or added from the county in December and live now:
( Asterisk * indicates newly added county)
--------------------------------------------------
Alabama - Jefferson

California - El Dorado

Georgia - Chatham, Cobb, DeKalb, Gwinnett

Indiana - Allen, Hamilton, Lake, Madison, Marion, St. Joseph, Vanderburgh

Kentucky - Oldham

Michigan - Branch, Menominee, Oakland

Minnesota - Mower

Missouri - Adair, Cole, Jackson, Madison, St. Louis City, Ste. Genevieve, Wayne

Northern Mariana Islands - Rota, Saipan, Tinian

North Carolina - Mecklenburg, Wake

Ohio - Pickaway

Oregon - Multnomah

Pennsylvania - Philadelphia

South Carolina - Abbeville, Aiken, Allendale, Anderson, Bamberg, Beaufort, Berkeley, Calhoun, Charleston, Cherokee, Chester, Chesterfield, Colleton, Darlington, Dillon, Dorchester, Edgefield, Fairfield, Florence, Georgetown, Greenville, Greenwood, Hampton, Horry, Jasper, Kershaw, Lancaster, Laurens, Lee, Lexington, Marion, Marlboro, McCormick, Newberry, Oconee, Orangeburg, Pickens, Richland, Saluda, Spartanburg, Sumter, Union, Williamsburg, York

Tennessee - Shelby

Texas - Tarrant

Virginia - Mecklenburg, Rockingham

Wisconsin - Milwaukee

In the current pipeline for updating in January 2021
--------------------------------------------------
West Virginia
Wyoming

Washington
North Carolina
Oregon


In the pipeline for updating in February 2021
--------------------------------------------------
Alaska
Hawaii
Indiana
Pennsylvania


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, 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!

Happy Mapping!

Blake Girardot

blake@landgrid.com

Loveland Data Team

313-649-LAND