Table 1.
Baseline characteristics of COVID-19 cases in the study population (N = 500 349) and percentage of the Danish adult population (N = 4 671 587)
| Hospitalized COVID-19 cases in Denmark, N = 2232 | Total in study population, N = 500 349 | No. of hospitalized COVID-19 cases per 10 000 persons,aN = 4 671 587 | ||
|---|---|---|---|---|
| Characteristics | No. (%) | No. | No. | |
| Age group, no. (%), | <30 years | 114 (5%) | 91 083 | 1 |
| N = 500 349 | 30–39 years | 140 (6%) | 74 213 | 1 |
| 40–49 years | 265 (12%) | 79 475 | 3 | |
| 50–59 years | 336 (15%) | 86 086 | 3 | |
| 60–69 years | 359 (16%) | 72 212 | 4 | |
| ≥70 years | 1018 (46%) | 97 280 | 9 | |
| Sex, no. (%), N = 500 349 | Women | 1027 (46%) | 253 755 | 3 |
| Origin, no. (%), | Danish | 1893 (85%) | 431 646 | 4 |
| N = 500 349 | Immigrant | 313 (14%) | 59 801 | 4 |
| Descendant | 26 (1%) | 8902 | 2 | |
| Grouped country of birth, no. (%), N = 500 349 | Danish | 1893 (85%) | 431 646 | 4 |
| Westernb | 63 (3%) | 26 270 | 2 | |
| Non-Western | 276 (12%) | 42 433 | 6 | |
| Immigrant | 253 (92%) | 34 736 | 6 | |
| Descendant | 23 (8%) | 7697 | 2 | |
| Country of birth, no. (%), | Denmark | 1893 (92%) | 431 646 | 4 |
| N = 448 001 | Iraq | 35 (2%) | 2678 | 12 |
| Lebanon | 13 (1%) | 2163 | 5 | |
| Morocco | 21 (1%) | 971 | 20 | |
| Pakistan | 30 (1%) | 2134 | 13 | |
| Somalia | 23 (1%) | 1387 | 15 | |
| Turkey | 35 (2%) | 5697 | 5 | |
| Former Yugoslavia | 11 (0.5%) | 1325 | 7 | |
| Length of residence for immigrants, no. (%), N = 59 801 | ≤5 years | 22 (7%) | 19 849 | 1 |
| 6–15 years | 42 (13%) | 13 283 | 2 | |
| 16–29 years | 104 (33%) | 15 592 | 6 | |
| ≥30 years | 145 (46%) | 11 077 | 12 | |
| Marital status, no. (%), N = 500 349 | Unmarried | 1053 (47%) | 270 235 | 3 |
| Educational level, no. (%), | Low | 619 (28%) | 121 030 | 4 |
| N = 493 820c | Medium | 864 (40%) | 206 914 | 3 |
| High | 692 (32%) | 164 384 | 3 | |
| Charlson Comorbidity Index, no. (%), N = 500 349 | 0 | 1330 (62%) | 434 589 | 2 |
| 1 | 317 (15%) | 30 589 | 9 | |
| 2 | 259 (12%) | 22 584 | 10 | |
| ≥3 | 247 (11%) | 12 508 | 18 | |
| No. of persons per household, no. (%), N = 500 349 | 1 person | 715 (32%) | 11 212 | 5 |
| 2 persons | 895 (40%) | 188 842 | 4 | |
| 3 persons | 245 (11%) | 77 918 | 2 | |
| 4 persons | 210 (9%) | 74 819 | 2 | |
| ≥5 persons | 167 (7%) | 45 558 | 3 | |
| Occupation, no. (%), | Unemployed | 32 (1%) | 9992 | 2 |
| N = 496 819d | Employed without known business industry | 46 (2%) | 9427 | 4 |
| Other occupational inactivity | 1050 (47%) | 120 252 | 8 | |
| Farming, forestry, fishery, manufacture, raw material extraction and supply companye | 108 (5%) | 46 183 | 2 | |
| Building and construction | 58 (3%) | 20 227 | 2 | |
| Trade and transportation | 209 (9%) | 85 982 | 2 | |
| Information and communication | 46 (2%) | 13 584 | 3 | |
| Financing and insurance | 34 (1%) | 10 158 | 3 | |
| Property trading and rental services | 21 (1%) | 5744 | 3 | |
| Business service | 130 (6%) | 41 984 | 2 | |
| Public administration, education and health and social services | 453 (20%) | 116 694 | 3 | |
| Culture, leisure and other services | 42 (2%) | 17 381 | 2 | |
| Province, no. (%), | Copenhagen city (PDf = 4340 persons/km2) | 513 (23%) | 66 553 | 7 |
| N = 500 349 | Copenhagen area (PD = 1602 persons/km2) | 335 (15%) | 34 699 | 9 |
| North Zealand (PD = 320 persons/km2) | 348 (16%) | 49 825 | 6 | |
| East Zealand (PD = 310 persons/km2) | 103 (4%) | 21 671 | 4 | |
| West- and South Zealand (PD = 91 persons/km2) | 290 (13%) | 49 518 | 5 | |
| Funen (PD = 143 persons/km2) | 103 (4%) | 43 077 | 2 | |
| North Jutland (PD = 75 persons/km2) | 124 (6%) | 53 037 | 2 | |
| East Jutland (PD = 154 persons/km2) | 101 (4%) | 77 786 | 1 | |
| West Jutland (PD = 60 persons/km2) | 152 (7%) | 37 032 | 3 | |
| South Jutland (PD = 82 persons/km2) | 153 (7%) | 63 483 | 2 | |
| Bornholm (PD = 67 persons/km2) | 10 (1%) | 3668 | 2 | |
| Income, no. (%), | 1st quartile (≤178 169 DKK) | 594 (27%) | 128 540 | 4 |
| N = 500 349 | 2nd quartile (178 170–246 364 DKK) | 594 (27%) | 123 904 | 4 |
| 3rd quartile (246 365–334 495 DKK) | 457 (20%) | 123 945 | 3 | |
| 4th quartile (>334 495 DKK) | 587 (26%) | 123 960 | 4 |
The number of hospitalized COVID-19 cases per 10 000 persons in the Danish population. Example: Among women, there are three hospitalized COVID-19 cases per 10 000 persons in the Danish population. Weight is calculated by: (COVID-19 cases/Total number of individuals in respective group)/10.7)*100.
There are too few COVID-19 cases to be displayed among immigrants and descendants of Western origin.
There are 6529 individuals without information on educational level.
There are 139 671 individuals without information on business industry, but with information on occupational status (unemployed/employed without known business industry/other occupational inactivity) and 3530 individuals without information on neither business industry or occupational status.
Business industries of farming, forestry, fishery and manufacture, raw material extraction and supply company are combined into one group due to few cases in some industries.
PD: population density.