Population Change, Southern Ontario, 2016 to 2021

 

 

I’m just going to park this here for now.  This is a quick map showing population change from 2016 to 2021 in southern Ontario municipalities (i.e, census subdivisions). The division between “southern Ontario” and all else was a bit arbitrary, and the color range doesn’t bode well with the baselayer (my usual choice, Stamen, was finicky with the plugin), but there are some interesting things here  to discover all the same. Population change in the suburbs and exurbs is mad-high.  (e.g, Collingwood, Waterloo, Kitchener, Barrie area, Peterborough).  I suppose this confirms what the realtors were telling us about the covid.

Future changes I’m thinking about

– fixing the colour

– all of Canada.  (comparatives won’t always be useful)

– the increase in dwellings and of population in K-W CT’s.  (Watch the suburbs grow.)

Welcome back, blog.  I suppose i should match the content to the URL.

-m

(full screen view for the phones.)

 

 

Kitchener-Waterloo-Cambridge Population Change, 2011 to 2016

Here’s the first in a series of maps on Kitchener-Waterloo and the greater Waterloo Region from the 2016 Census.   This map interprets population change per census tract between 2011 and 2016.  Click on the full-screen icon in the lower-right corner to get the full view.

Some notes, here.  Keeping in mind that we’re looking at population change:

  • I’ve rounded out the coloring on the high end and low end to take in account the outliers at both ends of the spectrum.  Some of the rural census tracts show a significant population change between censal years.  Double-digit percentage swings on low populations are more common than in geographies with higher populations.
  • There should be no surprise that the greatest positive change is occuring in the Waterloo and Kitchener cores.
    • Kitchener is benefiting from the redevelopment of its core, but it still has a ways to go in terms of residential
    • Waterloo near King and University is showing a significant positive change, given the construction of so much new housing in that area
  • Remember that a no-change or little-change population density census tract doesn’t mean progress or decline.  it just means no change.  A good example of this is in some of the old-stock neighbourhoods around uptown and downtown, where change is  sometimes minuscule. They might be right on the edge of the downtown/uptown core, but residential change can be hard to come by since the neighbourhoods are firmly established with single-dwelling units and households.

 

 

This map was developed with Tableau.  I used to hack out maps with leaflet.js but turned to Tableau to improve development times.  I’m not too happy with the speed in which it renders to the user, though.  A switch back to Leaflet may be in order.