| Value |
Category |
| 0 |
|
| 0.3 |
|
| 0.5 |
|
| 0.7 |
|
| 0.8 |
|
| 0.84 |
|
| 1 |
|
| 1.2 |
|
| 1.25 |
|
| 1.5 |
|
| 1.8 |
|
| 2 |
|
| 2.3 |
|
| 2.5 |
|
| 2.8 |
|
| 3 |
|
| 3.5 |
|
| 3.6 |
|
| 3.75 |
|
| 4 |
|
| 4.4 |
|
| 4.5 |
|
| 4.6 |
|
| 5 |
|
| 5.5 |
|
| 6 |
|
| 6.25 |
|
| 6.5 |
|
| 6.75 |
|
| 7 |
|
| 7.5 |
|
| 8 |
|
| 8.5 |
|
| 9 |
|
| 9.12 |
|
| 9.4 |
|
| 9.5 |
|
| 9.6 |
|
| 10 |
|
| 10.5 |
|
| 10.7 |
|
| 11 |
|
| 11.25 |
|
| 11.5 |
|
| 11.9 |
|
| 12 |
|
| 12.3 |
|
| 12.5 |
|
| 12.75 |
|
| 13 |
|
| 13.44 |
|
| 13.5 |
|
| 14 |
|
| 14.5 |
|
| 15 |
|
| 16 |
|
| 16.17 |
|
| 16.25 |
|
| 16.5 |
|
| 17 |
|
| 17.23 |
|
| 17.5 |
|
| 18 |
|
| 18.2 |
|
| 18.5 |
|
| 19 |
|
| 19.5 |
|
| 20 |
|
| 21 |
|
| 21.5 |
|
| 22 |
|
| 22.5 |
|
| 22.6 |
|
| 23 |
|
| 24 |
|
| 25 |
|
| 25.5 |
|
| 26 |
|
| 27 |
|
| 27.5 |
|
| 28 |
|
| 28.5 |
|
| 29 |
|
| 29.2 |
|
| 30 |
|
| 31 |
|
| 31.5 |
|
| 32 |
|
| 32.5 |
|
| 33 |
|
| 34 |
|
| 34.5 |
|
| 35 |
|
| 35.7 |
|
| 36 |
|
| 36.7 |
|
| 37 |
|
| 37.5 |
|
| 38 |
|
| 38.5 |
|
| 39 |
|
| 39.5 |
|
| 40 |
|
| 41 |
|
| 42 |
|
| 43 |
|
| 43.5 |
|
| 44 |
|
| 45 |
|
| 45.5 |
|
| 46 |
|
| 46.5 |
|
| 47 |
|
| 47.6 |
|
| 48 |
|
| 49 |
|
| 49.8 |
|
| 50 |
|
| 51 |
|
| 52 |
|
| 52.5 |
|
| 53 |
|
| 54 |
|
| 55 |
|
| 55.5 |
|
| 56 |
|
| 57 |
|
| 57.5 |
|
| 57.6 |
|
| 58 |
|
| 58.5 |
|
| 58.9 |
|
| 59 |
|
| 60 |
|
| 61 |
|
| 62 |
|
| 62.5 |
|
| 63 |
|
| 63.6 |
|
| 64 |
|
| 64.5 |
|
| 65 |
|
| 66 |
|
| 67 |
|
| 67.3 |
|
| 67.5 |
|
| 68 |
|
| 69 |
|
| 70 |
|
| 71 |
|
| 72 |
|
| 73 |
|
| 74 |
|
| 75 |
|
| 76 |
|
| 77 |
|
| 78 |
|
| 79 |
|
| 80 |
|
| 81 |
|
| 82 |
|
| 82.5 |
|
| 83 |
|
| 84 |
|
| 84.5 |
|
| 85 |
|
| 85.5 |
|
| 86 |
|
| 87 |
|
| 87.5 |
|
| 88 |
|
| 90 |
|
| 91 |
|
| 92 |
|
| 92.5 |
|
| 93 |
|
| 94 |
|
| 95 |
|
| 95.2 |
|
| 96 |
|
| 97 |
|
| 97.5 |
|
| 98 |
|
| 99 |
|
| 100 |
|
| 102 |
|
| 103 |
|
| 103.9 |
|
| 104 |
|
| 105 |
|
| 106 |
|
| 107 |
|
| 107.5 |
|
| 108 |
|
| 109 |
|
| 110 |
|
| 111 |
|
| 112 |
|
| 112.5 |
|
| 113 |
|
| 114 |
|
| 115 |
|
| 116 |
|
| 117 |
|
| 118 |
|
| 119 |
|
| 120 |
|
| 121 |
|
| 122 |
|
| 123 |
|
| 124 |
|
| 125 |
|
| 126 |
|
| 127 |
|
| 127.5 |
|
| 128 |
|
| 128.5 |
|
| 129 |
|
| 130 |
|
| 132 |
|
| 132.5 |
|
| 133 |
|
| 133.5 |
|
| 134 |
|
| 135 |
|
| 136 |
|
| 137 |
|
| 138 |
|
| 140 |
|
| 141.5 |
|
| 142 |
|
| 143 |
|
| 144 |
|
| 145 |
|
| 146 |
|
| 147 |
|
| 148 |
|
| 149 |
|
| 150 |
|
| 151 |
|
| 152 |
|
| 153 |
|
| 154 |
|
| 155 |
|
| 156 |
|
| 157 |
|
| 158 |
|
| 159 |
|
| 159.5 |
|
| 160 |
|
| 161 |
|
| 162 |
|
| 162.5 |
|
| 163 |
|
| 164 |
|
| 165 |
|
| 167 |
|
| 168 |
|
| 169 |
|
| 170 |
|
| 172 |
|
| 172.5 |
|
| 173 |
|
| 174 |
|
| 175 |
|
| 176 |
|
| 177 |
|
| 180 |
|
| 181 |
|
| 182 |
|
| 183 |
|
| 184 |
|
| 185 |
|
| 186 |
|
| 187 |
|
| 188.5 |
|
| 189 |
|
| 190 |
|
| 191 |
|
| 192 |
|
| 193 |
|
| 194 |
|
| 195 |
|
| 196 |
|
| 197 |
|
| 198 |
|
| 199 |
|
| 200 |
|
| 202 |
|
| 203 |
|
| 204 |
|
| 205 |
|
| 206 |
|
| 208 |
|
| 209 |
|
| 210 |
|
| 212 |
|
| 213 |
|
| 214 |
|
| 215 |
|
| 216 |
|
| 217 |
|
| 218 |
|
| 220 |
|
| 221 |
|
| 222 |
|
| 223 |
|
| 224 |
|
| 225 |
|
| 226 |
|
| 228 |
|
| 229 |
|
| 230 |
|
| 231 |
|
| 232 |
|
| 233 |
|
| 234 |
|
| 235 |
|
| 236 |
|
| 237 |
|
| 238 |
|
| 240 |
|
| 242 |
|
| 243 |
|
| 245 |
|
| 246 |
|
| 250 |
|
| 252 |
|
| 253 |
|
| 254 |
|
| 254.3 |
|
| 255 |
|
| 256 |
|
| 257 |
|
| 258 |
|
| 260 |
|
| 262 |
|
| 264 |
|
| 265 |
|
| 269 |
|
| 270 |
|
| 273 |
|
| 274 |
|
| 275 |
|
| 278 |
|
| 279 |
|
| 280 |
|
| 281 |
|
| 282 |
|
| 282.5 |
|
| 284 |
|
| 285 |
|
| 286 |
|
| 287 |
|
| 288 |
|
| 290 |
|
| 293 |
|
| 295 |
|
| 296 |
|
| 300 |
|
| 302 |
|
| 304 |
|
| 305 |
|
| 307 |
|
| 308 |
|
| 309 |
|
| 310 |
|
| 312 |
|
| 313 |
|
| 315 |
|
| 318 |
|
| 320 |
|
| 322 |
|
| 324 |
|
| 325 |
|
| 326 |
|
| 327 |
|
| 328 |
|
| 329 |
|
| 330 |
|
| 334 |
|
| 335 |
|
| 336 |
|
| 340 |
|
| 342 |
|
| 345 |
|
| 346 |
|
| 348 |
|
| 350 |
|
| 351 |
|
| 353 |
|
| 354 |
|
| 355 |
|
| 356 |
|
| 357 |
|
| 359 |
|
| 360 |
|
| 363 |
|
| 364 |
|
| 365 |
|
| 370 |
|
| 371 |
|
| 373 |
|
| 374 |
|
| 375 |
|
| 378 |
|
| 380 |
|
| 381 |
|
| 382 |
|
| 385 |
|
| 390 |
|
| 395 |
|
| 397 |
|
| 398 |
|
| 400 |
|
| 405 |
|
| 408 |
|
| 410 |
|
| 411 |
|
| 412 |
|
| 414 |
|
| 415 |
|
| 418 |
|
| 420 |
|
| 425 |
|
| 426 |
|
| 428 |
|
| 430 |
|
| 430.7 |
|
| 431 |
|
| 432 |
|
| 435 |
|
| 436 |
|
| 438 |
|
| 439 |
|
| 440 |
|
| 442 |
|
| 443 |
|
| 445 |
|
| 450 |
|
| 454 |
|
| 455 |
|
| 458 |
|
| 460 |
|
| 463 |
|
| 465 |
|
| 467 |
|
| 470 |
|
| 472 |
|
| 475 |
|
| 480 |
|
| 483 |
|
| 488 |
|
| 490 |
|
| 495 |
|
| 500 |
|
| 504 |
|
| 510 |
|
| 512 |
|
| 513 |
|
| 515 |
|
| 518 |
|
| 520 |
|
| 521 |
|
| 525 |
|
| 530 |
|
| 531 |
|
| 535 |
|
| 537 |
|
| 540 |
|
| 542 |
|
| 545 |
|
| 550 |
|
| 560 |
|
| 565 |
|
| 568 |
|
| 570 |
|
| 573 |
|
| 576 |
|
| 580 |
|
| 587 |
|
| 588 |
|
| 590 |
|
| 595 |
|
| 600 |
|
| 601 |
|
| 603 |
|
| 605 |
|
| 608 |
|
| 610 |
|
| 612 |
|
| 615 |
|
| 616 |
|
| 620 |
|
| 621 |
|
| 622 |
|
| 623 |
|
| 624 |
|
| 625 |
|
| 630 |
|
| 634 |
|
| 640 |
|
| 650 |
|
| 658 |
|
| 660 |
|
| 663 |
|
| 664 |
|
| 667 |
|
| 669 |
|
| 670 |
|
| 673 |
|
| 675 |
|
| 680 |
|
| 685 |
|
| 685.5 |
|
| 690 |
|
| 700 |
|
| 702 |
|
| 705 |
|
| 710 |
|
| 712 |
|
| 716 |
|
| 720 |
|
| 725 |
|
| 730 |
|
| 740 |
|
| 744 |
|
| 745 |
|
| 750 |
|
| 752 |
|
| 756 |
|
| 760 |
|
| 765 |
|
| 770 |
|
| 771 |
|
| 780 |
|
| 787 |
|
| 794.52 |
|
| 795 |
|
| 800 |
|
| 807 |
|
| 810 |
|
| 813 |
|
| 820 |
|
| 822 |
|
| 825 |
|
| 830 |
|
| 832 |
|
| 840 |
|
| 850 |
|
| 857 |
|
| 860 |
|
| 870 |
|
| 873 |
|
| 880 |
|
| 890 |
|
| 900 |
|
| 910 |
|
| 914 |
|
| 920 |
|
| 925 |
|
| 930 |
|
| 940 |
|
| 950 |
|
| 953 |
|
| 958 |
|
| 960 |
|
| 968 |
|
| 970 |
|
| 973 |
|
| 975 |
|
| 980 |
|
| 982 |
|
| 990 |
|
| 996 |
|
| 1000 |
|
| 1020 |
|
| 1025 |
|
| 1040 |
|
| 1050 |
|
| 1060 |
|
| 1070 |
|
| 1080 |
|
| 1100 |
|
| 1113 |
|
| 1120 |
|
| 1140 |
|
| 1150 |
|
| 1155 |
|
| 1160 |
|
| 1170 |
|
| 1180 |
|
| 1200 |
|
| 1212 |
|
| 1214 |
|
| 1220 |
|
| 1223 |
|
| 1230 |
|
| 1240 |
|
| 1250 |
|
| 1260 |
|
| 1265 |
|
| 1270 |
|
| 1275 |
|
| 1280 |
|
| 1300 |
|
| 1320 |
|
| 1323 |
|
| 1330 |
|
| 1340 |
|
| 1344 |
|
| 1380 |
|
| 1384 |
|
| 1390 |
|
| 1400 |
|
| 1430 |
|
| 1440 |
|
| 1445 |
|
| 1450 |
|
| 1467 |
|
| 1500 |
|
| 1520 |
|
| 1550 |
|
| 1560 |
|
| 1570 |
|
| 1575 |
|
| 1580 |
|
| 1586 |
|
| 1597 |
|
| 1600 |
|
| 1615 |
|
| 1620 |
|
| 1630 |
|
| 1640 |
|
| 1650 |
|
| 1660 |
|
| 1670 |
|
| 1680 |
|
| 1700 |
|
| 1704 |
|
| 1710 |
|
| 1740 |
|
| 1750 |
|
| 1756 |
|
| 1760 |
|
| 1800 |
|
| 1820 |
|
| 1850 |
|
| 1900 |
|
| 1937 |
|
| 1950 |
|
| 1980 |
|
| 2000 |
|
| 2016 |
|
| 2035 |
|
| 2050 |
|
| 2064 |
|
| 2070 |
|
| 2080 |
|
| 2100 |
|
| 2150 |
|
| 2160 |
|
| 2200 |
|
| 2250 |
|
| 2300 |
|
| 2330 |
|
| 2350 |
|
| 2400 |
|
| 2416 |
|
| 2465 |
|
| 2500 |
|
| 2515 |
|
| 2520 |
|
| 2550 |
|
| 2600 |
|
| 2700 |
|
| 2800 |
|
| 2850 |
|
| 2890 |
|
| 2900 |
|
| 2920 |
|
| 2985 |
|
| 3000 |
|
| 3002 |
|
| 3015 |
|
| 3160 |
|
| 3180 |
|
| 3200 |
|
| 3250 |
|
| 3270 |
|
| 3279 |
|
| 3300 |
|
| 3330 |
|
| 3360 |
|
| 3400 |
|
| 3450 |
|
| 3500 |
|
| 3590 |
|
| 3600 |
|
| 3700 |
|
| 3798 |
|
| 3800 |
|
| 3842 |
|
| 3850 |
|
| 3870 |
|
| 3900 |
|
| 3940 |
|
| 3950 |
|
| 4000 |
|
| 4100 |
|
| 4200 |
|
| 4228 |
|
| 4250 |
|
| 4300 |
|
| 4400 |
|
| 4500 |
|
| 4550 |
|
| 4600 |
|
| 4700 |
|
| 4740 |
|
| 4810 |
|
| 5000 |
|
| 5100 |
|
| 5200 |
|
| 5250 |
|
| 5345 |
|
| 5500 |
|
| 5600 |
|
| 6000 |
|
| 6248 |
|
| 6300 |
|
| 6400 |
|
| 6670 |
|
| 6950 |
|
| 7000 |
|
| 7100 |
|
| 7114 |
|
| 7300 |
|
| 7400 |
|
| 7460 |
|
| 7500 |
|
| 7800 |
|
| 7910 |
|
| 7960 |
|
| 8000 |
|
| 8200 |
|
| 8600 |
|
| 9000 |
|
| 9100 |
|
| 9420 |
|
| 9500 |
|
| 9600 |
|
| 9800 |
|
| 9900 |
|
| 10000 |
|
| 10050 |
|
| 10700 |
|
| 11400 |
|
| 12000 |
|
| 12480 |
|
| 12640 |
|
| 13000 |
|
| 14000 |
|
| 14400 |
|
| 14500 |
|
| 15000 |
|
| 15500 |
|
| 16500 |
|
| 17300 |
|
| 17500 |
|
| 17870 |
|
| 18000 |
|
| 18600 |
|
| 18750 |
|
| 18900 |
|
| 20150 |
|
| 21400 |
|
| 21560 |
|
| 24000 |
|
| 25000 |
|
| 29000 |
|
| 35000 |
|
| 40000 |
|
| 50000 |
|
| 52000 |
|
| 87600 |
|
| 94600 |
|
| 300000 |
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.