Table 2.

Number and sociodemographic and socioeconomic characteristics of patients receiving MMT in Ontario in 2014, by LHIN

LHINNO. OF MMT PATIENTSNO. OF MMT PATIENTS PER 100 000 POPULATIONMALE SEX, %AGE CATEGORY, N (%),* YNEIGHBOURHOOD INCOME QUINTILES, N (%)
15–2425–44> 441 (LOWEST)2345 (HIGHEST)
Total for all LHINs49 703433.1635778 (11.6)30 269 (60.9)13656 (27.4)17 815 (35.8)11 311 (22.8)8370 (16.8)6813 (13.7)4932 (9.9)
Central3002194.674.1179 (6.0)1676 (55.8)1147 (38.2)648 (21.6)604 (21.1)654 (21.8)694 (23.1)400 (13.3)
Central East5541412.264.1494 (8.9)3344 (60.4)1703 (30.7)2112 (38.1)1286 (23.2)917 (16.5)726 (13.1)498 (9.0)
Central West1946264.878.4117 (6.0)1252 (64.3)577 (29.7)356 (18.3)563 (28.9)600 (30.8)293 (15.1)134 (6.9)
Champlain2892263.159.5362 (12.5)1567 (54.2)963 (33.3)950 (32.8)675 (23.3)504 (17.4)431 (14.9)308 (10.7)
Erie St. Clair4237793.861.4657 (15.5)2480 (58.6)1100 (25.9)1565 (36.9)1007 (23.8)622 (14.7)572 (13.5)429 (10.1)
Hamilton Niagara7526624.263.71008 (13.4)4734 (62.9)1784 (23.7)3033 (40.3)1736 (23.1)1220 (16.2)813 (10.8)586 (7.8)
Mississauga Halton1708171.069.3219 (12.8)1033 (60.5)456 (26.7)265 (15.5)315 (18.4)345 (20.2)508 (29.7)275 (16.1)
North East4025833.558.3572 (14.2)2684 (66.7)769 (19.1)1845 (45.8)843 (20.9)620 (15.4)411 (10.2)287 (7.1)
North Simcoe Muskoka2423607.060.2241 (9.9)1570 (64.8)612 (25.3)696 (28.7)497 (20.5)427 (17.6)380 (15.7)383 (15.8)
North West33491703.146.4638 (19.1)2038 (60.8)673 (20.1)1311 (39.1)648 (19.3)507 (15.1)408 (12.2)414 (12.4)
South East2265532.760.9184 (8.1)1575 (69.6)506 (22.3)986 (43.5)487 (21.5)313 (13.8)290 (12.8)172 (7.6)
South West4989616.062.8683 (13.7)3185 (63.8)1121 (22.5)1960 (39.3)1135 (22.8)853 (17.1)608 (12.2)382 (7.7)
Toronto Central3709348.167.7197 (5.3)1802 (48.6)1710 (46.1)1325 (35.7)925 (24.9)496 (13.4)420 (11.3)478 (12.9)
Waterloo Wellington2091328.464.1227 (10.9)1329 (63.5)535 (25.6)763 (36.5)590 (28.2)292 (14.0)259 (12.4)186 (8.9)
  • LHIN—Local Health Integration Network, MMT—methadone maintenance treatment.

  • * All percentages might not add to 100 owing to rounding.

  • Socioeconomic data were not available for all patients, so percentages do not add to 100.