Mountain Doodles

spare time data, analysis, visualization

Land Use Data

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Metro Vancouver has a fairly good land use dataset that I imported quite some time ago so that I could take a good look at it. But then I forgot about it until @HealthyCityMaps reminded me just at the time when the discussions about assessmened values in Vancouver were flaring up again.

So finally I decided to mark up the City of Vancouver assessment dataset with the land use from the Metro Vancouver land use dataset. And I used the occasion to update my color schemes from two years ago and gave it a dark background that works better with the colorbrewer palettes.

The result of the land use and assessment data mashup is a much better understanding what kind of properties we have right now in Vancouver.

Land Use for Assessment Data

There is a strong relationship between land use and zoning. But that relationship is far from perfect, zoning is a funny beast. For example, zoning laws prevent low-rise apartments to be built in areas zoned for single family housing. But they permit single family housing in areas zoned for low-rise apartments. Or in areas zoned as commercial. The land use dataset allows to tag every property based on what it is actually used for.

Of course the land use dataset is not perfect and has some issues, but overall it gives a far superior view on how land is used when compared to soley relying on zoning. But putting the two datasets together one can even further filter down to tease out actual land use.

The Forgotten Single Family Houses

Single family houses have received a lot of attention lately, not least because of the incredible gains in land value during the last year.

But how to narrow down the assessed properties to only single family housing? The easiest way to do this is to use zoning as a proxy, so only use RS zoned properties. But there are a number of problems with that.

Firstly, only filtering by zone will still include lots of unwanted properties like schools and parks. I used to filter out parks using the City of Vancouver parks dataset, but it actually does not capture all parks. And then I filtered by area to get rid of large properties that typically house schools or other institutions. But that keeps smaller institutions in and throws larger single family houses out. Using the land use data we can better focus in on all the residential properties in the single family housing zone. But even then, there are 1,255 residential properties in ‘RS’ zoned areas that are not single family houses.

Secondly, and probably more importantly, it misses the 15% (12,111 total) of the single family stock that is situated in other zones. ‘Upzoning’ a neighbourhood only means that other forms of housing are also permitted, but people can still build single family homes there if they would like. Zoom into the map and choose different ways to colour the properties if you want to learn more about where they are.

All Single Family Houses

When adding in the land use data we can filter by actual land use. That immediately takes care of parks and schools and other institutions, and at the same time it allows to find all “single family or duplex” properties. That gets us closer to what we are looking for, but it also includes duplexes. But those are easy to detect in the assessment dataset, they show up with two separate tax bills. So combining the two we get the actual map of all single family homes.

Are these really all single family homes? Not quite. There are some issues with the land use dataset that mis-classify a couple of properties. In particular some RS lots without a house are classified as ‘Undeveloped’, and some are classfied as ‘Single Detached & Duplex’, probably depending on what was there around the time the data was collected. The correct classification really depends on what one is interested in, and will likely be outdated fast.

Moreover, the property assessment dataset of the City of Vancouver is to correctly link a couple of hundred properties to their tax data. This won’t be an issue when analysing the tax data, but it does cause a problem when mapping the properties as they won’t have any assessment or zoning data associated with them.

And there are issues on the fringes. Some properties in Southlands are used as single family homes on large lots, rather than the limited agricultural that it is zoned at and labeled as in the land use dataset.

But overall, adding in the land use information gives a huge improvement on narrowing down single family homes. We should remember that “single family homes” are better described as “single owner properties that can’t be stratified”, as they may include secondary suites and laneway houses.

Historical Data

One shortcoming of the land use dataset is that there are no historic versions available. It would be very nice to be able to see how land use changed over time, but that dataset won’t do the trick. The City of Vancouver assessment dataset comes with historic data all the way up to 2006, and can be used to do some fun analysis. But the historic dataset is incomlete in that zoning information is only available from 2014 forward and in that historic property tax data can’t always be linked to physical properties if the property has been re-developed. But overall putting the datasets together allows to refine the analysis previously made. For example re-running the thumb twiddling rates using only Single Family Homes, we get pretty much the same medians, but the averages are higher. We could also refine our teardown analysis to include only single family homes and better filter out institutional properties, although some issues with the lack of historic data remain.

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