Table 3. Regional mortality variability by age and gender during COVID-19 pandemic in Peru.
Region | Total mortality | Female mortality | Male mortality | Female/male mortality ratio | 0 to 19 years old mortality | 20 to 59 years old mortality | 60 years old and older mortality | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
W1 | W2 | W3 | W1 | W2 | W3 | W1 | W2 | W3 | W1 | W2 | W3 | W1 | W2 | W3 | W1 | W2 | W3 | W1 | W2 | W3 | |
Callao | 750 | 852 | 311 | 551 | 772 | 290 | 960 | 1013 | 331 | 0.57 | 0.76 | 0.88 | 47 | 60 | 34 | 324 | 444 | 128 | 3505 | 5056 | 1840 |
Lima | 701 | 894 | 305 | 518 | 785 | 298 | 898 | 1003 | 311 | 0.58 | 0.78 | 0.96 | 50 | 56 | 32 | 281 | 424 | 112 | 3373 | 5327 | 1926 |
Moquegua | 681 | 720 | 305 | 510 | 582 | 267 | 830 | 870 | 344 | 0.61 | 0.67 | 0.78 | 30 | 86 | 40 | 256 | 315 | 101 | 3467 | 4122 | 1873 |
Ica | 676 | 1035 | 349 | 532 | 904 | 332 | 819 | 1168 | 365 | 0.65 | 0.77 | 0.91 | 43 | 80 | 48 | 319 | 544 | 146 | 4083 | 6131 | 2173 |
Arequipa | 651 | 927 | 341 | 498 | 823 | 337 | 809 | 1035 | 344 | 0.62 | 0.80 | 0.98 | 48 | 82 | 48 | 242 | 445 | 134 | 3533 | 5325 | 2033 |
Ancash | 605 | 852 | 328 | 489 | 743 | 303 | 719 | 960 | 352 | 0.68 | 0.77 | 0.86 | 66 | 89 | 52 | 233 | 371 | 128 | 3588 | 5682 | 2197 |
Tumbes | 586 | 730 | 300 | 497 | 568 | 248 | 663 | 897 | 352 | 0.75 | 0.63 | 0.70 | 65 | 113 | 59 | 285 | 357 | 132 | 3624 | 5584 | 2336 |
Huancavelica | 535 | 601 | 265 | 503 | 576 | 264 | 566 | 632 | 265 | 0.89 | 0.91 | 1.00 | 99 | 90 | 51 | 253 | 309 | 116 | 4413 | 5987 | 2673 |
La Libertad | 523 | 734 | 306 | 411 | 658 | 291 | 636 | 807 | 319 | 0.65 | 0.82 | 0.91 | 54 | 79 | 52 | 220 | 344 | 127 | 3014 | 4859 | 2044 |
Madre de Dios | 513 | 695 | 395 | 373 | 476 | 250 | 621 | 945 | 556 | 0.60 | 0.50 | 0.45 | 161 | 226 | 161 | 361 | 534 | 313 | 2784 | 4725 | 2393 |
Junín | 512 | 789 | 299 | 422 | 682 | 279 | 602 | 897 | 318 | 0.70 | 0.76 | 0.88 | 75 | 84 | 51 | 239 | 406 | 127 | 3268 | 5696 | 2212 |
Piura | 472 | 679 | 290 | 363 | 594 | 260 | 580 | 762 | 319 | 0.63 | 0.78 | 0.82 | 39 | 77 | 53 | 212 | 337 | 125 | 3007 | 4728 | 2045 |
Puno | 461 | 670 | 310 | 381 | 579 | 289 | 543 | 757 | 330 | 0.70 | 0.76 | 0.88 | 71 | 85 | 44 | 219 | 330 | 131 | 2753 | 4826 | 2327 |
Cusco | 447 | 718 | 298 | 391 | 639 | 288 | 502 | 796 | 308 | 0.78 | 0.80 | 0.94 | 78 | 113 | 61 | 204 | 337 | 133 | 3033 | 4701 | 1932 |
Ucayali | 431 | 588 | 283 | 346 | 483 | 263 | 509 | 686 | 304 | 0.68 | 0.70 | 0.87 | 61 | 110 | 81 | 253 | 340 | 164 | 3111 | 4022 | 1857 |
Huánuco | 423 | 568 | 254 | 378 | 491 | 242 | 466 | 644 | 267 | 0.81 | 0.76 | 0.91 | 61 | 85 | 57 | 201 | 270 | 119 | 3544 | 4345 | 1871 |
Apurímac | 399 | 736 | 314 | 385 | 669 | 297 | 412 | 809 | 331 | 0.93 | 0.83 | 0.90 | 59 | 86 | 52 | 160 | 318 | 136 | 3064 | 5827 | 2401 |
Tacna | 397 | 622 | 240 | 291 | 485 | 215 | 501 | 753 | 265 | 0.58 | 0.64 | 0.81 | 39 | 60 | 29 | 180 | 335 | 100 | 2096 | 4078 | 1729 |
San Martín | 385 | 543 | 256 | 303 | 452 | 227 | 459 | 644 | 286 | 0.66 | 0.70 | 0.79 | 49 | 95 | 57 | 216 | 287 | 132 | 2850 | 4317 | 1980 |
Loreto | 372 | 397 | 185 | 282 | 340 | 166 | 455 | 457 | 204 | 0.62 | 0.74 | 0.81 | 56 | 101 | 64 | 240 | 261 | 113 | 2835 | 2903 | 1311 |
Lambayeque | 357 | 412 | 137 | 236 | 335 | 122 | 485 | 466 | 152 | 0.49 | 0.72 | 0.8 | 16 | 33 | 26 | 176 | 222 | 63 | 1884 | 2281 | 793 |
Pasco | 349 | 522 | 229 | 312 | 446 | 221 | 384 | 605 | 236 | 0.81 | 0.74 | 0.94 | 85 | 67 | 55 | 185 | 309 | 112 | 2255 | 4274 | 1893 |
Ayacucho | 292 | 565 | 264 | 260 | 533 | 262 | 322 | 599 | 266 | 0.81 | 0.89 | 0.98 | 47 | 87 | 54 | 131 | 264 | 112 | 2220 | 4853 | 2267 |
Cajamarca | 284 | 460 | 203 | 232 | 418 | 193 | 336 | 498 | 213 | 0.69 | 0.84 | 0.91 | 36 | 68 | 44 | 128 | 209 | 83 | 2229 | 3510 | 1551 |
Amazonas | 210 | 279 | 110 | 163 | 242 | 109 | 254 | 311 | 111 | 0.64 | 0.78 | 0.98 | 33 | 58 | 35 | 113 | 152 | 50 | 1700 | 1972 | 799 |
Legend: Mortality is expressed as the total death counts from all causes per 100,000 inhabitants; W1, wave 1; W2, wave 2; W3, wave 3.