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. 2022 Feb 14;194(6):E195–E204. doi: 10.1503/cmaj.211249

Table 2:

Characteristics of social and structural determinants across all dissemination areas (DAs) of each city and the corresponding Gini and co-Gini coefficients of cumulative COVID-19 cases

City DA population After-tax household income, $ Proportion no diploma or certificate, % Proportion visible minority, % Proportion recent immigrant, % Proportion not living in high-density housing, % Proportion essential worker, %






Median (IQR)* Gini Median (IQR)* Co-Gini Median (IQR)* Co-Gini Median (IQR)* Co-Gini Median (IQR)* Co-Gini Median (IQR)* Co-Gini Median (IQR)* Co-Gini
British Columbia

 Vancouver 588 (478–767) (0.1%) 0.36 47 638 (40 026–56 094) (0.0%) 0.13 6.6 (3.4–11.5) (0.3%) 0.24 45.0 (24.2–69.2) (0.3%) 0.17 2.0 (5.4–7.9) (0.3%) 0.11 94.6 (90.0–97.6) (0.3%) 0.19 46.6 (37.8–56.5) (0.3%) 0.25

 Kelowna 649 (516–890) (0.4%) 0.23 47 923 (40 686–55 331) (0.4%) 0.08 8.2 (4.7–11.6) (0.4%) 0.07 6.6 (3.8–10.1) (0.4%) 0.11 1.2 (0.0–2.5) (0.4%) 0.05 97.4 (95.4–98.8) (0.4%) 0.07 56.1 (49.4–62.5) (0.4%) 0.08

 Abbotsford–Mission 597 (446–823) (0.0%) 0.35 46 023 (39 250–52 714) (0.0%) 0.17 14.3 (9.9–19.2) (0.0%) 0.22 17.2 (8.9–36.6) (0.0%) 0.27 1.9 (0–4.3) (0.0%) 0.23 95.8 (91.7–98.1) (0.0%) 0.21 59.6 (52.6–66.8) (0.0%) 0.21

Manitoba

 Winnipeg 545 (457–649) (0.1%) 0.32 45 914 (37 357–54 989) (0.0%) 0.13 8.6 (4.8–10.4) (0.3%) 0.12 17.1 (8.1–34.2) (0.3%) 0.09 6.2 (0.0–9.0) (0.3%) 0.08 95.1 (89.9–98.2) (0.3%) 0.12 50.8 (42.6–58.8) (0.3%) 0.12

Ontario

 Toronto 564 (443–809) (0.0%) 0.34 50 341 (41 429–60 411) (0.0%) 0.17 8.1 (4.0–14.0) (0.4%) 0.20 41.3 (20.7–68.3) (0.4%) 0.20 3.6 (1.4–7.1) (0.4%) 0.12 94.1 (88.9–97.4) (0.4%) 0.18 45.8 (35.7–56.5) (0.4%) 0.24

 Ottawa 554 (447–738) (0.0%) 0.47 57 664 (46 856–66 708) (0.0%) 0.19 5.1 (2.5–9.1) (0.2%) 0.16 17.8 (9.3–30.8) (0.2%) 0.21 1.6 (0–3.6) (0.2%) 0.18 97.1 (94.2–100.0) (0.2%) 0.20 37.5 (30.1–45.7) (0.2%) 0.16

 Hamilton 520 (438–667) (0.0%) 0.40 50 294 (38 292–59 801) (0.0%) 0.11 8.5 (4.4–15.2) (0.3%) 0.09 12.6 (6.2–21.8) (0.3%) 0.15 0.7 (0–3.0) (0.3%) 0.09 96.8 (93.8–100.0) (0.3%) 0.09 52.8 (43.5–62.3) (0.3%) 0.10

 Kitchener–Cambridge–Waterloo 544 (440–749) (0.0%) 0.32 48 899 (39 710–57 738) (0.0%) 0.13 10.5 (6.4–16.2) (0.1%) 0.11 12.2 (5.9–22.3) (0.1%) 0.13 1.3 (0–3.5) (0.1%) 0.11 96.8 (94.1–98.5) (0.1%) 0.15 54.3 (44.8–61.8) (0.1%) 0.13

 St. Catharines–Niagara 518 (450–644) (0.0%) 0.44 43 266 (35 136–50 738) (0.0%) 0.12 9.8 (6.2–14.7) (0.1%) 0.08 6.7 (2.8–11.8) (0.1%) 0.11 0 (0–2.0) (0.1%) 0.10 97.4 (95.1–100.0) (0.1%) 0.10 60.0 (52.5–68.2) (0.1%) 0.07

 Windsor 502 (430–615) (0.0%) 0.35 45 227 (32 280–54 901) (0.0%) 0.16 8.9 (4.8–15.2) (0.0%) 0.11 13.8 (5.5–27.4) (0.0%) 0.15 1.6 (0–3.8) (0.0%) 0.09 96.7 (93.6–98.4) (0.0%) 0.12 61.1 (52.9–69.2) (0.0%) 0.09

Quebec

 Montréal 536 (448–672) (0.4%) 0.33 40 304 (33 015–49 411) (0.4%) 0.11 10.3 (5.5–16.7) (0.6%) 0.09 16.9 (6.8–32.5) (0.6%) 0.16 2.4 (0–6.2) (0.6%) 0.13 96.2 (92.5–98.5) (0.6%) 0.14 47.6 (38.1–56.1) (0.6%) 0.08

 Québec 514 (425–682) (0.4%) 0.31 45 104 (35 847–51 917) (0.5%) 0.10 6.8 (3.8–11.4) (0.6%) 0.08 3.2 (1.1–6.7) (0.6%) 0.12 0 (0–2.4) (0.6%) 0.09 98.4 (96.9–100.0) (0.6%) 0.07 47.1 (39.6–54.5) (0.6%) 0.10

 Gatineau 543 (425–805) (0.0%) 0.30 44 891 (36 112–53 526) (0.0%) 0.10 13.5 (7.3–21.4) (0.0%) 0.07 8.0 (2.7–15.6) (0.0%) 0.13 0 (0–2.8) (0.0%) 0.12 97.6 (95.5–100.0) (0.0%) 0.05 44.7 (35.6–53.1) (0.0%) 0.07

 Sherbrooke 543 (455–734) (0.0%) 0.33 37 490 (28 906–44 427) (0.0%) 0.17 11.3 (6.7–19.0) (0.6%) 0.08 3.6 (1.0–7.7) (0.6%) 0.16 0 (0–2.4) (0.6%) 0.15 98.2 (96.7–100) (0.6%) 0.08 53.7 (46.6–61.1) (0.6%) 0.09

 Saguenay 464 (398–607) (0.0%) 0.37 41 091 (32 929–46 566) (0.0%) 0.14 10.3 (6.2–15.9) (0.0%) 0.09 0 (0–2.2) (0.0%) 0.11 0.0 (0) (0.0%) 0.01 100.0 (97.6–100.0) (0.0%) 0.09 55.3 (48.3–61.9) (0.0%) 0.11

 Trois-Rivières 481 (406–620) (0.4%) 0.28 36 899 (28 382–45 459) (0.4%) 0.08 12.1 (6.1–18.5) (0.4%) 0.07 1.9 (0–3.8) (0.4%) 0.09 0 (0–0.6) (0.4%) 0.09 98.8 (97.5–100.0) (0.4%) 0.05 55.9 (48.6–62.9) (0.4%) 0.08

Note: IQR = interquartile range.

*

Median and IQR of social determinant across all DAs within a city. The percentages after IQR represents the proportion of DAs with missing variable (for population column, DAs with 0 population are also included).

Gini coefficients that went above and under the equity line in Lorenz curves are in bold.