A dataset containing census population data from six census years (1996 to 2021) for all 414 of Ontario's local municipalities. The Municipal Act of Ontario (2001) defines a local municipality as "a single-tier municipality or a lower-tier municipality". There are 173 single-tier municipalities and 241 lower-tier municipalities representing 99 percent of Ontario's population and 17 percent of its land use.
In the towny dataset we include information specific to each municipality
such as location (in the latitude and longitude columns), their website
URLs, their classifications, and land area sizes according to 2021
boundaries. Additionally, there are computed columns containing population
density values for each census year and population change values from
adjacent census years.
Format
A tibble with 414 rows and 25 variables:
- name
The name of the municipality.
- website
The website for the municipality. This is
NAif there isn't an official site.- status
The status of the municipality. This is either
"lower-tier"or"single-tier". A single-tier municipality, which takes on all municipal duties outlined in the Municipal Act and other Provincial laws, is independent of an upper-tier municipality. Part of an upper-tier municipality is a lower-tier municipality. The upper-tier and lower-tier municipalities are responsible for carrying out the duties laid out in the Municipal Act and other provincial laws.- csd_type
The Census Subdivision Type. This can be one of
"village","town","township","municipality", or"city".- census_div
The Census division, of which there are 49. This is made up of single-tier municipalities, regional municipalities, counties, and districts.
- latitude, longitude
The location of the municipality, given as latitude and longitude values in decimal degrees.
- land_area_km2
The total area of the local municipality in square kilometers.
- population_1996, population_2001, population_2006, population_2011, population_2016, population_2021
Population values for each municipality from the 1996 to 2021 census years.
- density_1996, density_2001, density_2006, density_2011, density_2016, density_2021
Population density values, calculated as persons per square kilometer, for each municipality from the 1996 to 2021 census years.
- pop_change_1996_2001_pct, pop_change_2001_2006_pct, pop_change_2006_2011_pct, pop_change_2011_2016_pct, pop_change_2016_2021_pct
Population changes between adjacent pairs of census years, from 1996 to 2021.
Examples
dplyr::glimpse(towny)
#> Rows: 414
#> Columns: 25
#> $ name <chr> "Addington Highlands", "Adelaide Metcalfe", "…
#> $ website <chr> "https://addingtonhighlands.ca", "https://ade…
#> $ status <chr> "lower-tier", "lower-tier", "lower-tier", "lo…
#> $ csd_type <chr> "township", "township", "township", "township…
#> $ census_div <chr> "Lennox and Addington", "Middlesex", "Simcoe"…
#> $ latitude <dbl> 45.00000, 42.95000, 44.13333, 45.52917, 43.85…
#> $ longitude <dbl> -77.25000, -81.70000, -79.93333, -76.89694, -…
#> $ land_area_km2 <dbl> 1293.99, 331.11, 371.53, 519.59, 66.64, 116.6…
#> $ population_1996 <int> 2429, 3128, 9359, 2837, 64430, 1027, 8315, 16…
#> $ population_2001 <int> 2402, 3149, 10082, 2824, 73753, 956, 8593, 18…
#> $ population_2006 <int> 2512, 3135, 10695, 2716, 90167, 958, 8654, 19…
#> $ population_2011 <int> 2517, 3028, 10603, 2844, 109600, 864, 9196, 2…
#> $ population_2016 <int> 2318, 2990, 10975, 2935, 119677, 969, 9680, 2…
#> $ population_2021 <int> 2534, 3011, 10989, 2995, 126666, 954, 9949, 2…
#> $ density_1996 <dbl> 1.88, 9.45, 25.19, 5.46, 966.84, 8.81, 21.22,…
#> $ density_2001 <dbl> 1.86, 9.51, 27.14, 5.44, 1106.74, 8.20, 21.93…
#> $ density_2006 <dbl> 1.94, 9.47, 28.79, 5.23, 1353.05, 8.22, 22.09…
#> $ density_2011 <dbl> 1.95, 9.14, 28.54, 5.47, 1644.66, 7.41, 23.47…
#> $ density_2016 <dbl> 1.79, 9.03, 29.54, 5.65, 1795.87, 8.31, 24.71…
#> $ density_2021 <dbl> 1.96, 9.09, 29.58, 5.76, 1900.75, 8.18, 25.39…
#> $ pop_change_1996_2001_pct <dbl> -0.0111, 0.0067, 0.0773, -0.0046, 0.1447, -0.…
#> $ pop_change_2001_2006_pct <dbl> 0.0458, -0.0044, 0.0608, -0.0382, 0.2226, 0.0…
#> $ pop_change_2006_2011_pct <dbl> 0.0020, -0.0341, -0.0086, 0.0471, 0.2155, -0.…
#> $ pop_change_2011_2016_pct <dbl> -0.0791, -0.0125, 0.0351, 0.0320, 0.0919, 0.1…
#> $ pop_change_2016_2021_pct <dbl> 0.0932, 0.0070, 0.0013, 0.0204, 0.0584, -0.01…