The Loveland Blog

June 2020 - Parcel Data Update

By Sahana Murthy on June 11, 2020 · How-To

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

Key Data Stats:

  • Total age down by 1.5% from last month
  • Average parcel age - 217 days, down from 221 last month
  • Average county age - 241 days, down from 248 last month
  • 638K new parcels added online since last month


SPECIAL NOTE - USPS Vacancy, Residential indicators: Now updated monthly. Updated in May 2020, next update in June! 

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 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:
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 May and live now:
( Asterisk * indicates newly added county)
--------------------------------------------------
Alabama - Baldwin, Barbour, Blount, Bullock, Butler, Calhoun, Cherokee, Cleburne, Coffee, Colbert, Coosa, Crenshaw, Cullman, Dale, Dallas, DeKalb, Elmore, Etowah, Fayette, Franklin, Geneva, Greene, Hale, Henry, Jackson, Jefferson, Lauderdale, Lawrence, Lee, Limestone, Macon, Madison, Marshall, Mobile, Monroe, Montgomery, Morgan, Randolph, Russell, Shelby, St. Clair, Sumter, Talladega, Tuscaloosa 

Illinois - Clark, De Witt, Logan, McDonough, Macon, Stephenson

Louisiana - Acadia, Ascension, Assumption, Avoyelles, Beauregard, Bossier, Caddo, Calcasieu, Catahoula, Claiborne, Concordia, De Soto, East Baton Rouge, East Feliciana, Evangeline*, Franklin, Grant, Iberia, Iberville, Jackson, Jefferson, La Salle, Lafayette, Lafourche, Lincoln, Livingston, Natchitoches, Orleans, Plaquemines, Pointe Coupee, Red River, Richland, St. Bernard*, St. Charles, St. James, St. John the Baptist, St. Landry, St. Martin, St. Mary, St. Tammany, Tangipahoa, Terrebonne, Union*, Vernon, Washington, Webster, West Feliciana

Maryland - Allegany, Anne Arundel, Baltimore, Baltimore City, Calvert, Caroline, Carroll, Cecil, Charles, Dorchester, Frederick, Garrett, Harford, Howard, Kent, Montgomery, Prince George's, Queen Anne's, Somerset, St. Mary's, Talbot, Washington, Wicomico, Worcester

Missouri - Barry*

North Dakota - Burke, Cass, Dividse, Mountrail, Traill, Williams

Nebraska - Dodge, Fillmore, Frontier, Nuckolls

Oklahoma - Alfalfa, Canadian, Carter, Cleveland, Coal, Comanche, Creek, Delaware, Grady, Harper, Haskell, Jackson, Johnston, Lincoln, Love, McCurtain, Murray, Noble, Oklahoma, Osage, Payne, Rogers, Sequoyah, Tulsa, Woodward

South Dakota - Davison, Douglas, Faulk, Hanson, Hutchinson, Jerauld, Minnehaha, Sanborn

Texas - Anderson, Andrews, Angelina, Aransas, Archer*, Armstrong, Atascosa, Austin, Bailey, Bandera, Bastrop, Baylor, Bee, Bell, Bexar, Blanco, Borden, Bosque, Bowie, Brazoria, Brazos, Brewster, Brooks, Brown, Burleson, Burnet, Caldwell, Calhoun, Callahan, Cameron, Camp, Carson, Cass, Castro*, Chambers, Cherokee, Childress, Clay*, Cochran, Coke, Collin, Collingsworth*, Colorado, Comal, Comanche, Concho, Cooke, Coryell, Cottle, Crane, Crockett*, Culberson, Dallam, Dallas, Dawson*, Deaf Smith, Delta, Denton, DeWitt, Dickens, Dimmit, Duval, Eastland, Ector, Edwards, Ellis, Erath*, Falls, Fannin, Fayette, Fisher, Floyd*, Foard, Fort Bend, Franklin, Freestone, Frio*, Gaines, Galveston, Gillespie, Glasscock, Goliad, Gonzales, Gray, Grayson, Gregg, Grimes, Guadalupe

US Virgin Islands - St. Croix*, St. John*, St. Thomas*

West Virginia - Barbour, Berkeley, Boone, Braxton, Brooke, Cabell, Calhoun, Clay, Doddridge, Fayette, Gilmer, Grant, Greenbrier, Hampshire, Hancock, Hardy, Harrison, Jackson, Jefferson, Kanawha, Lewis, Lincoln, Logan, Marion, Marshall, Mason, McDowell, Mercer, Mineral, Mingo, Monongalia, Monroe, Morgan, Nicholas, Ohio, Pendleton, Pleasants, Pocahontas, Preston, Putnam, Raleigh, Randolph, Ritchie, Roane, Summers, Taylor, Tucker, Tyler, Upshur, Wayne, Webster, Wetzel, Wirt, Wood, Wyoming

Wisconsin - Milwaukee

In the current pipeline for updating in June 2020
--------------------------------------------------
Texas - Remainder of state
Nevada - about 10 counties

In the pipeline for updating in July 
--------------------------------------------------
New Jersey

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!

Happy Mapping!

White Labels & You

By Nick Downer on April 21, 2020 · How-To

Hey all, this is Nick with Landgrid. I thought I’d do a quick blog post to talk a little bit about how excited we are to be able to offer white labeling services to our clients, and explain why we’re so stoked.

To Start:
You already know that Loveland makes fantastic GIS software for visualizing and managing property information out of the box via our flagship platform, Landgrid.com. However, many of our most powerful projects have customized the look and feel of our software to the exact needs of a business, government, or community development organization (the Flint Property Portal is a great example).




In the past these projects were one-offs, meaning that the cool features that we made for one client we couldn’t easily replicate for others. What we have now for the first time is the ability to create these for pretty much any Enterprise customer who would like one, at scale. 

 

What this means:
No matter what you’re using our platform and/or data for, we can customize a site that’ll make it all about you and your needs. We can change the look and feel of the site visually, as well as highlighting the information you need and removing anything you don’t. If you’ve ever thought “I wish I could do X thing with this data”, the time has come - now you can. I think you’ll agree, that’s pretty compelling.

So, what exactly is a white label? Glad you asked, and here’s a handy graphic to help explain.




As you can probably gather, white labeling is a broad concept and can apply to a lot of potential use cases, which is one of the reasons I think it’s so cool. For existing clients, white labeling can really supercharge the impact, utility, and visibility of their work with Landgrid; in addition, I also anticipate a whole swath of potential new customers for whom we suddenly become relevant and attractive.



Rather than continuing in generalities, I thought I’d lay out some specific examples of things that white labeling now allows us to get into via some friendly hypotheticals. If any of these spark an idea for you, your business, or someone you know, please check out our revamped Enterprise page and shoot me an email at enterprise@landgrid.com. As always, we’re more than happy to talk through the details as they relate to you specifically - we're a friendly bunch and love to take customers all the way from concept to finished product.


Real Estate
Scenario 1
You’re a real estate company with a portfolio of properties which you hold and/or manage. Your investors want to be able to quickly and easily see which properties are owned, status updates as they occur, and track potential future investments.
Solution
With a white labeled site, you can give your investors access to a private site at a URL of your choosing, with your companies’ branding, that color-codes properties by ownership or as potential leads. Property managers during their daily work or staff scoping out potential acquisitions use the Landgrid app to snap photos and make notes about properties, all of which shows up in real time on a customized field.

Scenario 2
You’re a realtor whose primary interest is in a specific region (or regions) of the country. You want the latest property transfer data as well as any other metrics you can get your hands on that will help you determine which properties to take on and how to market them.
Solution
We’re bulking up our customizations so that you could set up a white label solution that pulls the metrics you’re interested in onto an Insights dashboard. You could see the number and sales value of properties sold in an area over time, bookmark properties you want to check out, and set up a data integration so that other sales data you have access to flows into your Landgrid account automatically.

Scenario 3
You’re a real estate investor, and you specialize in certain types of properties (commercial, vacant lots, residential rehab, etc). You need access to data that will give you an edge on finding these properties before your competitors.
Solution
Here, we’d set up some customizations on an Insights dashboard that could flag properties that fit your criteria as soon as they become available, in addition to some premade maps that would (for example) color code vacant commercial structures as yellow, vacant residential structures as blue, etc. Using this information, you could either go out and visit them in person with our survey app, or use it as a starting point to do outreach to the owners of those properties or other research.

Land Bank
Scenario 4
You’re a land bank, and you need a way to track properties from abandonment and vacancy, through acquisition, all the way to sale and transfer to new owners. You have hundreds of these properties, and it’s becoming a huge hassle to keep track of them all and make sure you have the most current data for any given property!
Solution
First of all, if you were using a database software to track properties, we could integrate with that - so that changes you make there get reflected onto our map. If you were doing it more, let’s say, “old school” via paper or a simple spreadsheet, we would be happy to consult, design and set up a new workflow for you that uses Landgrid primarily, making far more efficient use of you and your staff’s time going forward.

Nonprofit/Government
Scenario 5
You’re concerned with the increasing number of tax delinquent properties in your area, and you need segmented data, as well as a way of tracking outreach to residents.
Solution
We could set you up with a custom site that would have a handful of premade maps: one highlighting tax delinquent properties, one highlighting properties that have had outreach (what, when, and status), and a handful of other premade maps showing things like valuation and transfers so that you can anticipate which areas to pay special attention to in the coming months.

Scenario 6
You're a municipal government looking for a user-friendly way to publicly show the various investments and projects being undertaken by the city, because you value transparency and open data.
Solution
We’d set up for you an attractive public-facing interface as well as the training needed for staff to input data; premade maps for each area (streetscape improvements, paving projects, tree planting, etc) could be created. All data could be integrated with an existing Open Data portal if it exists for easy resident download, and/or we could host those downloads on the white labeled site itself.

Academic
Scenario 7
You’re digitizing hard-copy historic data (Census, building records, sales data, photos, etc) and you need a platform to input this data and tie it to the current parcel. You want the final product to be available to other researchers in the future.
Solution
Rather than recreate the wheel, you can use a site with Landgrid’s parcels as a georeferenced base on which to append your data. This site can be used by any number of staff while digitizing to submit records, and once the project is complete, you could work with Landgrid staff to visualize the data in whatever way feels most compelling. Project leaders could view productivity stats for staff working on the project, review digitized records, and flag any in need of further review.

Philanthropic
Scenario 8
You want a dashboard that can track investments you’ve made in a given city, or nationwide. In addition, you want to be able to easily see specific information that might inform data-driven decisions around equitable funding, and identify existing gaps in the funding you provide.
Solution
We can create an attractive interface that you can use to generate needed metrics for funders quickly ("we have funded 20 projects in ZIP code XYZ, 3 of which were arts & culture grants, and invested $3m") on a map which can be private or public.

Nationwide LBCS - Zoning and Usecode Standardization

By Ray Visser on March 19, 2020 · How-To

While browsing Landgrid's data, you may have encountered fields like "lbcs_activity" and "lbcs_function", but their values are just 4-digit numbers. What exactly do those fields mean? Let's take a quick look!


The Land-Based Classification System (LBCS) is a method devised by the American Planning Institute to describe how the land of an individual parcel is used. It encodes land use 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.

We focus primarily on the "lbcs_activity" and "lbcs_function" dimensions because they make the most sense at the parcel level. Activity describes the actual human activities that take place on the parcel, while function describes the broader economic or social use the parcel serves. For example, a parcel that is used as a parking lot for a school would have an "lbcs_activity" code of "5000" (for "Travel or movement activities"), but an "lbcs_function" code of "6000" (for "Education, public admin., health care, and institutional").

 

Most parcel data, however, does not use LBCS, and varies widely in how land use is classified (if that information is available at all). If there is any information pertaining to how a parcel is used, it usually takes the form of local zoning, land use, or tax assessors' codes. Because of this inconsistency, our LBCS classification work is done manually, county by county, matching each place's land use or zoning information to the nearest applicable LBCS code.

 

Currently, in Loveland's dataset of more than 144 million parcels, 54% of parcels have an LBCS code for function, and 45% of parcels have an LBCS code for activity. These percentages are increasing constantly as we add new places and fill in codes for existing ones. You can stay up to date on which places have LBCS data using the Landgrid coverage report.

We're working on implementing additional data fields to provide text description in addition to the LBCS codes. This will do away with the need to cross-reference the 4-digit codes in Landgrid's data with the APA website's master list of codes for each dimension. We hope to have these fields operational sometime in 2020.

The main reason we spend time implementing LBCS in our dataset is its universality. Local zoning, land use, or assessors' codes are still visible on parcels which have that data (usually in the "zoning", "zoning_description", "usecode", or "usedesc" fields, and sometimes in custom fields). But while there is variability from county to county what a zoning value of “101” or “R-1” is, an "lbcs_activity" value of "1000" always means "Residential activities".

This consistency means users of Landgrid's data and the mapping platform can perform queries to find trends across the dataset, or to count certain types of parcels. For instance, a regional business specializing in agricultural equipment could download the data for surrounding counties from the Landgrid data store, and query that data to find the number of parcels in each county with an "lbcs_activity" code in the range 8000-8999, for "natural resources-related activities".This could give a broad overview of places where agricultural activity is more prevalent and could help with focusing sales and marketing efforts where they are more likely to succeed.

 

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 the Landgrid team at team@landgrid.com, or check out the parcel data FAQ.

 

Ray Visser

Team Loveland

Your Data on Landgrid Enterprise

By Sahana Murthy on January 9, 2020 · How-To

As of end of 2019, Loveland has aggregated 142 million parcels nationwide, all of which is meticulously mapped on the Landgrid Mapping Platform.

Not just that:

We refreshed - 2029 counties 

We have a total of - 2704 counties &

Best of all, our total average parcel age/currency is under a year right now!

Oh and how can I forget - We added the coveted USPS residential and vacancy indicators to our data.

But enough about the data we have! 

Let’s talk about YOUR Data!!! 

In today’s time, we know that everyone has & wants to work with their own datasets. You’ve spent years perhaps collecting the property data that you use for your day to day work - whether you are a county, Landbank, university, mapping company or operate in real estate, 

As a data company, we value ALL data.

So, Bring your own data to us and we will manage it and put it all up in one central location - Be it your own massive or small property dataset, mortgage data , census tract data or data that you may have collected using property & land surveys.

Landgrid Enterprise - Finally, all of your organization’s property data in one place, fully integrated with the software you need to do your work.

https://landgrid.com/enterprise

No matter the size & scale of your data - leave it to the Loveland team to manage & import it for you.

Doesn’t matter how your data is structured - whether its in one consolidated DB or in multiple siloes.

We can handle it. We will clean it, standardize it, even geocode it if necessary and add it on to the Landgrid platform under your account.

And voila --- you & your entire can visualize your data, build beautiful color coded maps and augment your data with unlimited land surveys straight out of your Enterprise account.

Couple that with custom capabilities and you have the dream property management solution that you never knew existed.

What do we mean by custom solutions:

Could be anything ranging from as small as :

  • custom reports 
  • to custom filters 
  • to custom data stats derived specifically for you, tailored to your analytic needs 
  • to an entirely custom site built just for you with your branding with embedded & interactive maps. Here’s an example of a made from scratch custom site that we built in partnership with the City of Flint & the Genessee county - https://flintpropertyportal.com/

Sky’s the limit.

Don’t worry about the scale of your project either. 

 

Got an idea or need for an easy to use parcel data solution (No prior GIS experience required)???

Email us at enterprise@landgrid.com .

We can do a quick demo and get you a sense of what your solution could be - tailored just you.

Doesn’t get better than this. 

Lets handle your property data for you and make your life easy! How’s that for a 2020 resolution???

 

We look forward to hearing from you!

Enterprise Team!

 

Sahana Murthy