Spreadsheet: 123652d1317778463-allocating-to-an-age-group-using-sumproduct-book1
Sheet: Sheet1

Gender | Birthdate | Age | Age Bracket | Salary | Multiple | Benefit | 2011-04-01 00:00:00
Male | 1962-08-12 00:00:00 | 48 | 0 | 484838 | 6 | 2909028 |  |  | 16 | 19 | 16-19
Male | 1981-03-09 00:00:00 | 30 | 0 | 40000 | 8 | 320000 |  |  | 20 | 24 | 20-24
Male | 1987-05-15 00:00:00 | 23 | 0 | 40000 | 2 | 80000 |  |  | 25 | 29 | 25-29
Male | 1974-04-20 00:00:00 | 36 | 0 | 130000 | 8 | 1040000 |  |  | 30 | 34 | 30-34
Male | 1986-05-26 00:00:00 | 24 | 0 | 42000 | 4 | 168000 |  |  | 35 | 39 | 35-39
Male | 1973-03-12 00:00:00 | 38 | 0 | 200000 | 4 | 800000 |  |  | 40 | 44 | 40-44
Male | 1981-12-04 00:00:00 | 29 | 0 | 61000 | 5 | 305000 |  |  | 45 | 49 | 45-49
Male | 1974-07-16 00:00:00 | 36 | 0 | 47000 | 4 | 188000 |  |  | 50 | 54 | 50-54
Male | 1973-04-02 00:00:00 | 37 | 0 | 70000 | 4 | 280000 |  |  | 55 | 59 | 55-59
Female | 1979-01-07 00:00:00 | 32 | 0 | 90000 | 4 | 360000 |  |  | 60 | 64 | 60-64
Male | 1976-09-22 00:00:00 | 34 | 0 | 125000 | 8 | 1000000 |  |  | 65 | 69 | 65-69
Male | 1979-09-22 00:00:00 | 31 | 0 | 67500 | 8 | 540000
Female | 1972-01-10 00:00:00 | 39 | 0 | 39250 | 4 | 157000
Male | 1977-06-16 00:00:00 | 33 | 0 | 125000 | 4 | 500000
Male | 1979-02-20 00:00:00 | 32 | 0 | 60000 | 4 | 240000
Male | 1976-10-03 00:00:00 | 34 | 0 | 135000 | 4 | 540000
Male | 1978-04-02 00:00:00 | 32 | 0 | 150000 | 8 | 1200000
Female | 1980-04-03 00:00:00 | 30 | 0 | 150000 | 4 | 600000
Female | 1968-05-06 00:00:00 | 42 | 0 | 49500 | 4 | 198000
Male | 1985-04-15 00:00:00 | 25 | 0 | 42000 | 4 | 168000
Male | 1983-01-16 00:00:00 | 28 | 0 | 37000 | 4 | 148000
Male | 1985-12-10 00:00:00 | 25 | 0 | 45000 | 4 | 180000
Male | 1974-12-02 00:00:00 | 36 | 0 | 90000 | 4 | 360000
Male | 1979-12-07 00:00:00 | 31 | 0 | 55000 | 4 | 220000
Female | 1971-12-03 00:00:00 | 39 | 0 | 58000 | 4 | 232000
Male | 1971-07-04 00:00:00 | 39 | 0 | 300000 | 4 | 1200000
Male | 1985-04-08 00:00:00 | 25 | 0 | 24120 | 4 | 96480
Male | 1973-04-01 00:00:00 | 38 | 0 | 200000 | 4 | 800000
Male | 1972-01-03 00:00:00 | 39 | 0 | 135000 | 8 | 1080000
Male | 1986-03-08 00:00:00 | 25 | 0 | 42000 | 4 | 168000
Female | 1968-03-28 00:00:00 | 43 | 0 | 70000 | 4 | 280000
Female | 1967-08-07 00:00:00 | 43 | 0 | 40250 | 4 | 161000
Male | 1977-08-12 00:00:00 | 33 | 0 | 135000 | 4 | 540000
Male | 1975-06-04 00:00:00 | 35 | 0 | 200000 | 4 | 800000
Male | 1977-09-15 00:00:00 | 33 | 0 | 120000 | 4 | 480000
Female | 1976-07-26 00:00:00 | 34 | 0 | 100000 | 4 | 400000
Male | 1963-01-22 00:00:00 | 48 | 0 | 169000 | 6 | 1014000
Male | 1973-03-21 00:00:00 | 38 | 0 | 120000 | 4 | 480000
Male | 1965-10-25 00:00:00 | 45 | 0 | 145000 | 4 | 580000
Male | 1982-11-27 00:00:00 | 28 | 0 | 50000 | 7 | 350000
Female | 1972-05-10 00:00:00 | 38 | 0 | 40000 | 4 | 160000
Male | 1980-02-09 00:00:00 | 31 | 0 | 55000 | 8 | 440000
Male | 1978-05-18 00:00:00 | 32 | 0 | 120000 | 4 | 480000
Male | 1963-11-01 00:00:00 | 47 | 0 | 47000 | 8 | 376000
Male | 1966-09-28 00:00:00 | 44 | 0 | 200000 | 8 | 1600000
Male | 1959-08-01 00:00:00 | 51 | 0 | 250000 | 4 | 1000000
Male | 1982-09-06 00:00:00 | 28 | 0 | 45000 | 4 | 180000
Male | 1958-07-30 00:00:00 | 52 | 0 | 179000 | 7 | 1253000
Male | 1982-03-03 00:00:00 | 29 | 0 | 50000 | 4 | 200000
Male | 1968-01-24 00:00:00 | 43 | 0 | 80000 | 4 | 320000
Male | 1957-12-13 00:00:00 | 53 | 0 | 250000 | 4 | 1000000
Male | 1964-09-17 00:00:00 | 46 | 0 | 75000 | 5 | 375000
Male | 1972-08-18 00:00:00 | 38 | 0 | 80000 | 4 | 320000
Male | 1981-03-20 00:00:00 | 30 | 0 | 105000 | 8 | 840000
Male | 1977-12-28 00:00:00 | 33 | 0 | 280000 | 8 | 2240000
Male | 1982-10-15 00:00:00 | 28 | 0 | 60000 | 4 | 240000
Male | 1959-01-31 00:00:00 | 52 | 0 | 318149.94 | 4 | 1272599.76
Male | 1966-12-04 00:00:00 | 44 | 0 | 200000 | 4 | 800000
Male | 1984-08-30 00:00:00 | 26 | 0 | 46000 | 4 | 184000
Male | 1969-03-11 00:00:00 | 42 | 0 | 135000 | 4 | 540000
Male | 1975-07-10 00:00:00 | 35 | 0 | 160000 | 4 | 640000
Male | 1981-09-15 00:00:00 | 29 | 0 | 57000 | 4 | 228000
Male | 1966-09-16 00:00:00 | 44 | 0 | 43000 | 4 | 172000
Male | 1976-03-21 00:00:00 | 35 | 0 | 200000 | 4 | 800000
Male | 1983-12-30 00:00:00 | 27 | 0 | 50000 | 4 | 200000
Female | 1983-04-27 00:00:00 | 27 | 0 | 64710 | 4 | 258840
Male | 1953-04-29 00:00:00 | 57 | 0 | 60000 | 6 | 360000
Female | 1967-06-06 00:00:00 | 43 | 0 | 162000 | 8 | 1296000
Male | 1983-08-16 00:00:00 | 27 | 0 | 57000 | 4 | 228000
Male | 1977-04-01 00:00:00 | 34 | 0 | 115000 | 4 | 460000
Male | 1973-04-13 00:00:00 | 37 | 0 | 200000 | 4 | 800000
Female | 1981-03-27 00:00:00 | 30 | 0 | 24000 | 4 | 96000
Female | 1971-12-13 00:00:00 | 39 | 0 | 93000 | 4 | 372000
Female | 1981-05-03 00:00:00 | 29 | 0 | 60000 | 4 | 240000
Male | 1966-05-18 00:00:00 | 44 | 0 | 90000 | 6 | 540000
Male | 1964-09-04 00:00:00 | 46 | 0 | 484838 | 4 | 1939352
Male | 1984-10-27 00:00:00 | 26 | 0 | 65500 | 4 | 262000
Male | 1978-04-07 00:00:00 | 32 | 0 | 75000 | 8 | 600000
Male | 1978-01-25 00:00:00 | 33 | 0 | 72500 | 4 | 290000
Male | 1976-12-31 00:00:00 | 34 | 0 | 80000 | 8 | 640000
Male | 1977-07-02 00:00:00 | 33 | 0 | 100000 | 8 | 800000
Male | 1976-04-14 00:00:00 | 34 | 0 | 300000 | 8 | 2400000
Male | 1979-12-03 00:00:00 | 31 | 0 | 45000 | 4 | 180000
Male | 1974-04-06 00:00:00 | 36 | 0 | 126000 | 8 | 1008000
Male | 1953-12-03 00:00:00 | 57 | 0 | 200000 | 4 | 800000
Female | 1976-03-17 00:00:00 | 35 | 0 | 105000 | 4 | 420000
Male | 1984-12-20 00:00:00 | 26 | 0 | 57000 | 4 | 228000
Male | 1987-01-15 00:00:00 | 24 | 0 | 42000 | 4 | 168000
Male | 1969-09-06 00:00:00 | 41 | 0 | 145000 | 4 | 580000
Male | 1980-11-13 00:00:00 | 30 | 0 | 55000 | 8 | 440000
Female | 1956-07-08 00:00:00 | 54 | 0 | 45000 | 4 | 180000
Male | 1984-06-11 00:00:00 | 26 | 0 | 31000 | 2 | 62000
Male | 1978-08-31 00:00:00 | 32 | 0 | 120000 | 4 | 480000
Female | 1975-04-14 00:00:00 | 35 | 0 | 44250 | 4 | 177000
Male | 1983-12-27 00:00:00 | 27 | 0 | 60000 | 4 | 240000
Female | 1983-09-17 00:00:00 | 27 | 0 | 90000 | 4 | 360000
Male | 1963-10-01 00:00:00 | 47 | 0 | 150000 | 4 | 600000
Female | 1963-08-24 00:00:00 | 47 | 0 | 38000 | 4 | 152000
Male | 1988-02-12 00:00:00 | 23 | 0 | 42000 | 4 | 168000
Male | 1986-08-08 00:00:00 | 24 | 0 | 42000 | 4 | 168000
Male | 1972-03-16 00:00:00 | 39 | 0 | 180000 | 5 | 900000
Male | 1973-12-31 00:00:00 | 37 | 0 | 110000 | 8 | 880000
Male | 1979-11-03 00:00:00 | 31 | 0 | 45000 | 4 | 180000
Male | 1973-06-19 00:00:00 | 37 | 0 | 100000 | 8 | 800000
Male | 1985-12-05 00:00:00 | 25 | 0 | 42000 | 4 | 168000
Male | 1971-05-21 00:00:00 | 39 | 0 | 300000 | 8 | 2400000
Male | 1982-04-11 00:00:00 | 28 | 0 | 50000 | 4 | 200000
Female | 1968-12-16 00:00:00 | 42 | 0 | 135000 | 8 | 1080000
Male | 1988-05-24 00:00:00 | 22 | 0 | 28000 | 4 | 112000
Male | 1982-08-01 00:00:00 | 28 | 0 | 60000 | 8 | 480000
Male | 1967-06-03 00:00:00 | 43 | 0 | 88000 | 4 | 352000
Female | 1968-05-24 00:00:00 | 42 | 0 | 47500 | 4 | 190000
Female | 1982-05-03 00:00:00 | 28 | 0 | 60000 | 4 | 240000
Male | 1972-03-10 00:00:00 | 39 | 0 | 41000 | 4 | 164000
Male | 1950-08-13 00:00:00 | 60 | 0 | 40000 | 4 | 160000
Male | 1977-04-07 00:00:00 | 33 | 0 | 125000 | 8 | 1000000
Male | 1970-12-19 00:00:00 | 40 | 0 | 130000 | 8 | 1040000
Male | 1958-03-30 00:00:00 | 53 | 0 | 300000 | 4 | 1200000
Male | 1968-02-29 00:00:00 | 43 | 0 | 135000 | 8 | 1080000
Male | 1976-12-06 00:00:00 | 34 | 0 | 455210.6 | 4 | 1820842.4
Male | 1986-02-20 00:00:00 | 25 | 0 | 90000 | 4 | 360000
Male | 1985-10-27 00:00:00 | 25 | 0 | 45000 | 4 | 180000
Female | 1985-06-25 00:00:00 | 25 | 0 | 35000 | 4 | 140000
Female | 1986-01-22 00:00:00 | 25 | 0 | 52000 | 4 | 208000
Female | 1963-07-25 00:00:00 | 47 | 0 | 145000 | 4 | 580000
Female | 1981-02-28 00:00:00 | 30 | 0 | 52000 | 4 | 208000
Female | 1979-03-24 00:00:00 | 32 | 0 | 38250 | 8 | 306000
Female | 1981-03-24 00:00:00 | 30 | 0 | 41000 | 4 | 164000
Male | 1971-06-23 00:00:00 | 39 | 0 | 200000 | 8 | 1600000
Male | 1960-07-19 00:00:00 | 50 | 0 | 134000 | 4 | 536000
Male | 1984-08-24 00:00:00 | 26 | 0 | 57000 | 4 | 228000
Male | 1959-12-04 00:00:00 | 51 | 0 | 150000 | 6 | 900000
Male | 1972-08-22 00:00:00 | 38 | 0 | 125000 | 8 | 1000000
Female | 1976-06-17 00:00:00 | 34 | 0 | 125000 | 4 | 500000
Male | 1974-06-06 00:00:00 | 36 | 0 | 50000 | 4 | 200000
Male | 1980-01-17 00:00:00 | 31 | 0 | 65000 | 4 | 260000
Female | 1984-03-27 00:00:00 | 27 | 0 | 60000 | 4 | 240000
Male | 1961-05-17 00:00:00 | 49 | 0 | 150000 | 4 | 600000
Female | 1965-04-19 00:00:00 | 45 | 0 | 100000 | 4 | 400000
Male | 1963-02-20 00:00:00 | 48 | 0 | 150000 | 4 | 600000
Male | 1973-07-05 00:00:00 | 37 | 0 | 141000 | 4 | 564000
Male | 1965-10-03 00:00:00 | 45 | 0 | 65000 | 4 | 260000
Male | 1969-04-28 00:00:00 | 41 | 0 | 200000 | 4 | 800000
Male | 1977-04-11 00:00:00 | 33 | 0 | 65000 | 8 | 520000
Male | 1978-06-18 00:00:00 | 32 | 0 | 71000 | 4 | 284000
Male | 1955-11-07 00:00:00 | 55 | 0 | 406125 | 5 | 2030625
Male | 1977-01-10 00:00:00 | 34 | 0 | 150000 | 4 | 600000
Male | 1981-08-09 00:00:00 | 29 | 0 | 41000 | 4 | 164000
Male | 1978-05-04 00:00:00 | 32 | 0 | 45000 | 4 | 180000
Male | 1976-09-18 00:00:00 | 34 | 0 | 90000 | 4 | 360000
Female | 1983-10-05 00:00:00 | 27 | 0 | 45000 | 4 | 180000
Male | 1975-10-05 00:00:00 | 35 | 0 | 60000 | 4 | 240000
Male | 1972-11-24 00:00:00 | 38 | 0 | 200000 | 4 | 800000
Female | 1980-09-25 00:00:00 | 30 | 0 | 49000 | 4 | 196000
Male | 1964-05-29 00:00:00 | 46 | 0 | 130000 | 4 | 520000
Male | 1964-07-04 00:00:00 | 46 | 0 | 300000 | 4 | 1200000
Male | 1976-02-22 00:00:00 | 35 | 0 | 100000 | 4 | 400000
Male | 1983-07-29 00:00:00 | 27 | 0 | 57000 | 4 | 228000
Male | 1983-06-07 00:00:00 | 27 | 0 | 90000 | 4 | 360000
Male | 1967-07-02 00:00:00 | 43 | 0 | 140000 | 4 | 560000
Female | 1978-04-19 00:00:00 | 32 | 0 | 36250 | 4 | 145000
Male | 1970-09-22 00:00:00 | 40 | 0 | 300000 | 4 | 1200000
Male | 1984-08-20 00:00:00 | 26 | 0 | 65000 | 4 | 260000
Male | 1973-02-09 00:00:00 | 38 | 0 | 75000 | 4 | 300000
Male | 1972-04-04 00:00:00 | 38 | 0 | 300000 | 4 | 1200000
Male | 1984-09-13 00:00:00 | 26 | 0 | 40000 | 4 | 160000
Male | 1972-01-14 00:00:00 | 39 | 0 | 145000 | 8 | 1160000
Male | 1986-01-29 00:00:00 | 25 | 0 | 42000 | 4 | 168000
Male | 1977-07-05 00:00:00 | 33 | 0 | 200000 | 8 | 1600000
Female | 1972-04-21 00:00:00 | 38 | 0 | 47000 | 4 | 188000
Male | 1976-06-28 00:00:00 | 34 | 0 | 43000 | 4 | 172000
Male | 1959-08-23 00:00:00 | 51 | 0 | 125000 | 4 | 500000
Female | 1968-06-18 00:00:00 | 42 | 0 | 39500 | 4 | 158000
Male | 1979-09-08 00:00:00 | 31 | 0 | 110000 | 4 | 440000
Male | 1966-06-11 00:00:00 | 44 | 0 | 300000 | 8 | 2400000
Male | 1963-11-21 00:00:00 | 47 | 0 | 142000 | 4 | 568000
Female | 1965-02-06 00:00:00 | 46 | 0 | 202000 | 8 | 1616000
Male | 1960-10-20 00:00:00 | 50 | 0 | 300000 | 4 | 1200000
Male | 1983-01-09 00:00:00 | 28 | 0 | 42000 | 4 | 168000
Male | 1980-09-10 00:00:00 | 30 | 0 | 68000 | 4 | 272000
Male | 1973-09-25 00:00:00 | 37 | 0 | 300000 | 4 | 1200000
Male | 1959-02-19 00:00:00 | 52 | 0 | 666708 | 4 | 2666832
Male | 1981-10-28 00:00:00 | 29 | 0 | 43000 | 4 | 172000
Male | 1983-09-06 00:00:00 | 27 | 0 | 53000 | 4 | 212000
Male | 1970-11-03 00:00:00 | 40 | 0 | 61000 | 4 | 244000
Female | 1970-06-12 00:00:00 | 40 | 0 | 39250 | 4 | 157000
Male | 1972-01-20 00:00:00 | 39 | 0 | 200000 | 4 | 800000
Male | 1960-04-04 00:00:00 | 50 | 0 | 120000 | 4 | 480000
Male | 1983-12-29 00:00:00 | 27 | 0 | 42000 | 4 | 168000
Female | 1976-11-16 00:00:00 | 34 | 0 | 110000 | 4 | 440000
Male | 1954-05-13 00:00:00 | 56 | 0 | 70000 | 4 | 280000
Male | 1965-05-10 00:00:00 | 45 | 0 | 150000 | 4 | 600000
Male | 1982-04-17 00:00:00 | 28 | 0 | 46000 | 4 | 184000
Male | 1978-02-20 00:00:00 | 33 | 0 | 150000 | 2 | 300000
Male | 1982-10-09 00:00:00 | 28 | 0 | 55000 | 4 | 220000
Male | 1963-12-05 00:00:00 | 47 | 0 | 155000 | 8 | 1240000
Male | 1965-12-10 00:00:00 | 45 | 0 | 194129 | 8 | 1553032
Male | 1979-08-13 00:00:00 | 31 | 0 | 77500 | 2 | 155000
Male | 1966-11-25 00:00:00 | 44 | 0 | 250000 | 8 | 2000000
Male | 1973-02-28 00:00:00 | 38 | 0 | 50000 | 4 | 200000
Male | 1968-10-13 00:00:00 | 42 | 0 | 200000 | 4 | 800000
Male | 1961-03-15 00:00:00 | 50 | 0 | 100000 | 4 | 400000
Male | 1972-06-13 00:00:00 | 38 | 0 | 120000 | 4 | 480000
Male | 1974-11-03 00:00:00 | 36 | 0 | 200000 | 4 | 800000
Male | 1972-11-12 00:00:00 | 38 | 0 | 300000 | 4 | 1200000
Male | 1978-02-28 00:00:00 | 33 | 0 | 77000 | 8 | 616000
Male | 1974-07-16 00:00:00 | 36 | 0 | 80000 | 4 | 320000
Male | 1977-08-13 00:00:00 | 33 | 0 | 60000 | 4 | 240000
Male | 1974-02-18 00:00:00 | 37 | 0 | 75000 | 4 | 300000
Male | 1977-10-15 00:00:00 | 33 | 0 | 54000 | 4 | 216000
Male | 1958-03-25 00:00:00 | 53 | 0 | 300000 | 4 | 1200000
Male | 1978-01-03 00:00:00 | 33 | 0 | 300000 | 4 | 1200000
Male | 1969-04-11 00:00:00 | 41 | 0 | 144000 | 8 | 1152000
Male | 1982-01-30 00:00:00 | 29 | 0 | 120000 | 4 | 480000
Male | 1966-02-15 00:00:00 | 45 | 0 | 226484 | 4 | 905936
Male | 1971-01-20 00:00:00 | 40 | 0 | 175000 | 4 | 700000
Female | 1971-11-23 00:00:00 | 39 | 0 | 125000 | 4 | 500000
Male | 1966-03-15 00:00:00 | 45 | 0 | 52000 | 8 | 416000
Female | 1978-10-12 00:00:00 | 32 | 0 | 85000 | 4 | 340000
Male | 1963-01-24 00:00:00 | 48 | 0 | 250000 | 4 | 1000000
Male | 1983-10-07 00:00:00 | 27 | 0 | 40000 | 4 | 160000
Male | 1973-04-26 00:00:00 | 37 | 0 | 140000 | 4 | 560000
Male | 1979-12-06 00:00:00 | 31 | 0 | 55000 | 4 | 220000
Female | 1975-05-31 00:00:00 | 35 | 0 | 189000 | 4 | 756000
Female | 1982-05-20 00:00:00 | 28 | 0 | 40000 | 4 | 160000
Female | 1976-05-25 00:00:00 | 34 | 0 | 39250 | 4 | 157000
Female | 1977-10-16 00:00:00 | 33 | 0 | 35000 | 2 | 70000
Female | 1968-06-08 00:00:00 | 42 | 0 | 125000 | 4 | 500000
Female | 1981-01-23 00:00:00 | 30 | 0 | 35000 | 4 | 140000
Male | 1969-08-07 00:00:00 | 41 | 0 | 150000 | 4 | 600000
Male | 1972-11-22 00:00:00 | 38 | 0 | 115000 | 8 | 920000
Male | 1982-03-09 00:00:00 | 29 | 0 | 50000 | 2 | 100000
Female | 1969-06-12 00:00:00 | 41 | 0 | 55000 | 4 | 220000
Male | 1975-11-09 00:00:00 | 35 | 0 | 175000 | 4 | 700000
Male | 1985-03-02 00:00:00 | 26 | 0 | 50000 | 4 | 200000
Male | 1962-06-09 00:00:00 | 48 | 0 | 129000 | 4 | 516000
Female | 1985-02-02 00:00:00 | 26 | 0 | 60000 | 4 | 240000
Male | 1972-08-15 00:00:00 | 38 | 0 | 125000 | 8 | 1000000
Male | 1977-01-05 00:00:00 | 34 | 0 | 125000 | 4 | 500000
Female | 1952-05-29 00:00:00 | 58 | 0 | 39750 | 4 | 159000
Male | 1961-11-21 00:00:00 | 49 | 0 | 130000 | 4 | 520000
Male | 1980-10-15 00:00:00 | 30 | 0 | 52000 | 8 | 416000
Male | 1958-12-16 00:00:00 | 52 | 0 | 300000 | 8 | 2400000
Female | 1972-10-12 00:00:00 | 38 | 0 | 40000 | 2 | 80000
Male | 1968-04-19 00:00:00 | 42 | 0 | 110000 | 4 | 440000
Female | 1977-09-08 00:00:00 | 33 | 0 | 40000 | 4 | 160000
Female | 1970-08-11 00:00:00 | 40 | 0 | 40250 | 4 | 161000
Male | 1985-11-04 00:00:00 | 25 | 0 | 80000 | 4 | 320000
Male | 1982-10-04 00:00:00 | 28 | 0 | 75000 | 4 | 300000
Male | 1960-12-13 00:00:00 | 50 | 0 | 300000 | 4 | 1200000
Female | 1986-12-04 00:00:00 | 24 | 0 | 42000 | 4 | 168000
Male | 1967-06-03 00:00:00 | 43 | 0 | 125000 | 4 | 500000
Male | 1975-10-06 00:00:00 | 35 | 0 | 200000 | 4 | 800000
Male | 1980-04-29 00:00:00 | 30 | 0 | 75000 | 4 | 300000
Female | 1967-02-11 00:00:00 | 44 | 0 | 65000 | 8 | 520000
Female | 1973-10-01 00:00:00 | 37 | 0 | 46500 | 4 | 186000
Male | 1979-04-16 00:00:00 | 31 | 0 | 100000 | 4 | 400000
Male | 1968-12-28 00:00:00 | 42 | 0 | 300000 | 4 | 1200000
Male | 1972-10-29 00:00:00 | 38 | 0 | 300000 | 4 | 1200000
Male | 1982-09-16 00:00:00 | 28 | 0 | 68000 | 4 | 272000
Male | 1974-12-12 00:00:00 | 36 | 0 | 120000 | 4 | 480000
Male | 1973-01-18 00:00:00 | 38 | 0 | 200000 | 8 | 1600000
Male | 1967-08-02 00:00:00 | 43 | 0 | 95000 | 8 | 760000
Male | 1975-07-01 00:00:00 | 35 | 0 | 60000 | 4 | 240000
Male | 1979-05-14 00:00:00 | 31 | 0 | 200000 | 8 | 1600000
Male | 1980-02-20 00:00:00 | 31 | 0 | 50000 | 6 | 300000
Male | 1975-04-04 00:00:00 | 35 | 0 | 300000 | 4 | 1200000
Female | 1972-09-12 00:00:00 | 38 | 0 | 42000 | 4 | 168000
Male | 1978-03-11 00:00:00 | 33 | 0 | 55000 | 4 | 220000
Male | 1965-06-04 00:00:00 | 45 | 0 | 300000 | 8 | 2400000
Male | 1976-03-29 00:00:00 | 35 | 0 | 200000 | 4 | 800000
Male | 1964-01-26 00:00:00 | 47 | 0 | 250000 | 8 | 2000000
Female | 1975-05-05 00:00:00 | 35 | 0 | 38000 | 4 | 152000
Male | 1964-04-16 00:00:00 | 46 | 0 | 484838 | 6 | 2909028
Male | 1973-12-06 00:00:00 | 37 | 0 | 110000 | 4 | 440000
Male | 1970-01-26 00:00:00 | 41 | 0 | 200000 | 8 | 1600000
Male | 1977-08-13 00:00:00 | 33 | 0 | 66000 | 4 | 264000
Male | 1968-08-26 00:00:00 | 42 | 0 | 120000 | 4 | 480000
Male | 1979-03-01 00:00:00 | 32 | 0 | 70000 | 4 | 280000
Male | 1978-11-13 00:00:00 | 32 | 0 | 80000 | 4 | 320000
Male | 1984-12-22 00:00:00 | 26 | 0 | 38000 | 4 | 152000
Male | 1965-11-30 00:00:00 | 45 | 0 | 66000 | 4 | 264000
Female | 1972-04-26 00:00:00 | 38 | 0 | 145000 | 4 | 580000
Male | 1985-12-17 00:00:00 | 25 | 0 | 36000 | 4 | 144000
Male | 1969-12-08 00:00:00 | 41 | 0 | 170000 | 4 | 680000
Female | 1975-04-21 00:00:00 | 35 | 0 | 136000 | 4 | 544000
Male | 1962-04-22 00:00:00 | 48 | 0 | 100000 | 4 | 400000
Male | 1981-07-05 00:00:00 | 29 | 0 | 48000 | 4 | 192000
Male | 1967-06-01 00:00:00 | 43 | 0 | 48000 | 4 | 192000
Male | 1954-11-25 00:00:00 | 56 | 0 | 300000 | 4 | 1200000
Female | 1985-09-29 00:00:00 | 25 | 0 | 42000 | 4 | 168000
Male | 1978-07-30 00:00:00 | 32 | 0 | 65000 | 4 | 260000
Male | 1971-03-25 00:00:00 | 40 | 0 | 150000 | 4 | 600000
Male | 1976-08-19 00:00:00 | 34 | 0 | 185000 | 4 | 740000
Female | 1976-08-05 00:00:00 | 34 | 0 | 50000 | 2 | 100000
Male | 1976-12-16 00:00:00 | 34 | 0 | 200000 | 4 | 800000
Male | 1974-10-25 00:00:00 | 36 | 0 | 300000 | 4 | 1200000
Male | 1977-12-30 00:00:00 | 33 | 0 | 170000 | 4 | 680000
Male | 1979-12-02 00:00:00 | 31 | 0 | 85000 | 4 | 340000
Male | 1988-03-04 00:00:00 | 23 | 0 | 42000 | 4 | 168000
Male | 1980-01-11 00:00:00 | 31 | 0 | 100000 | 4 | 400000
Male | 1973-08-06 00:00:00 | 37 | 0 | 110000 | 4 | 440000
Male | 1976-09-06 00:00:00 | 34 | 0 | 68000 | 4 | 272000
Female | 1979-05-21 00:00:00 | 31 | 0 | 80000 | 4 | 320000
Male | 1974-12-14 00:00:00 | 36 | 0 | 92000 | 4 | 368000
Female | 1987-05-14 00:00:00 | 23 | 0 | 32000 | 4 | 128000
Male | 1973-06-02 00:00:00 | 37 | 0 | 65000 | 4 | 260000
Male | 1954-05-31 00:00:00 | 56 | 0 | 38000 | 4 | 152000
Male | 1983-03-22 00:00:00 | 28 | 0 | 45000 | 8 | 360000
Male | 1980-07-01 00:00:00 | 30 | 0 | 125000 | 4 | 500000
Male | 1978-07-12 00:00:00 | 32 | 0 | 60000 | 6 | 360000
Male | 1964-05-20 00:00:00 | 46 | 0 | 100000 | 4 | 400000
Male | 1977-11-26 00:00:00 | 33 | 0 | 42500 | 4 | 170000
Male | 1977-10-08 00:00:00 | 33 | 0 | 52000 | 4 | 208000
Male | 1981-01-05 00:00:00 | 30 | 0 | 60000 | 4 | 240000
Female | 1976-06-06 00:00:00 | 34 | 0 | 41000 | 4 | 164000
Male | 1963-01-14 00:00:00 | 48 | 0 | 140000 | 4 | 560000
Male | 1969-09-22 00:00:00 | 41 | 0 | 140000 | 4 | 560000
Male | 1980-07-07 00:00:00 | 30 | 0 | 50000 | 8 | 400000
Female | 1967-07-31 00:00:00 | 43 | 0 | 90000 | 4 | 360000
Female | 1984-05-16 00:00:00 | 26 | 0 | 90000 | 4 | 360000
Female | 1981-03-14 00:00:00 | 30 | 0 | 32000 | 4 | 128000
Male | 1976-06-01 00:00:00 | 34 | 0 | 48000 | 4 | 192000
Male | 1979-01-28 00:00:00 | 32 | 0 | 57000 | 4 | 228000
Female | 1974-01-11 00:00:00 | 37 | 0 | 46000 | 2 | 92000
Male | 1963-05-26 00:00:00 | 47 | 0 | 119000 | 6 | 714000
Male | 1972-10-10 00:00:00 | 38 | 0 | 300000 | 8 | 2400000
Male | 1980-08-18 00:00:00 | 30 | 0 | 50000 | 4 | 200000
Male | 1982-10-11 00:00:00 | 28 | 0 | 60000 | 4 | 240000
Female | 1974-01-11 00:00:00 | 37 | 0 | 101000 | 4 | 404000
Male | 1976-05-26 00:00:00 | 34 | 0 | 72000 | 4 | 288000
Male | 1985-10-18 00:00:00 | 25 | 0 | 70000 | 4 | 280000
Female | 1960-04-18 00:00:00 | 50 | 0 | 24000 | 8 | 192000
Male | 1979-03-13 00:00:00 | 32 | 0 | 110000 | 4 | 440000
Male | 1979-08-05 00:00:00 | 31 | 0 | 110000 | 4 | 440000
Male | 1979-10-25 00:00:00 | 31 | 0 | 52500 | 4 | 210000
Male | 1978-09-09 00:00:00 | 32 | 0 | 100000 | 4 | 400000
Male | 1978-08-19 00:00:00 | 32 | 0 | 190000 | 4 | 760000
Male | 1961-12-18 00:00:00 | 49 | 0 | 250000 | 4 | 1000000
Male | 1975-07-10 00:00:00 | 35 | 0 | 103000 | 4 | 412000
Male | 1984-07-14 00:00:00 | 26 | 0 | 57000 | 4 | 228000
Male | 1983-03-19 00:00:00 | 28 | 0 | 50000 | 4 | 200000
Male | 1979-09-10 00:00:00 | 31 | 0 | 200000 | 8 | 1600000
Male | 1975-09-02 00:00:00 | 35 | 0 | 125000 | 6 | 750000
Female | 1983-04-12 00:00:00 | 27 | 0 | 90000 | 2 | 180000
Female | 1984-03-14 00:00:00 | 27 | 0 | 53000 | 4 | 212000
Male | 1978-08-04 00:00:00 | 32 | 0 | 75000 | 4 | 300000
Female | 1980-03-18 00:00:00 | 31 | 0 | 100000 | 4 | 400000
Female | 1972-05-26 00:00:00 | 38 | 0 | 300000 | 4 | 1200000
Male | 1982-09-13 00:00:00 | 28 | 0 | 90000 | 4 | 360000
Male | 1969-12-03 00:00:00 | 41 | 0 | 145000 | 4 | 580000
Male | 1978-12-31 00:00:00 | 32 | 0 | 100000 | 6 | 600000
Male | 1983-11-10 00:00:00 | 27 | 0 | 50000 | 4 | 200000
Male | 1987-08-20 00:00:00 | 23 | 0 | 42000 | 4 | 168000
Male | 1975-06-07 00:00:00 | 35 | 0 | 135000 | 4 | 540000
Male | 1980-08-23 00:00:00 | 30 | 0 | 86000 | 4 | 344000
Female | 1977-06-30 00:00:00 | 33 | 0 | 38000 | 2 | 76000
Male | 1978-08-29 00:00:00 | 32 | 0 | 100000 | 4 | 400000
Male | 1988-03-23 00:00:00 | 23 | 0 | 42000 | 4 | 168000
Male | 1979-03-31 00:00:00 | 32 | 0 | 100000 | 4 | 400000
Male | 1960-01-09 00:00:00 | 51 | 0 | 120000 | 8 | 960000
Male | 1976-01-02 00:00:00 | 35 | 0 | 46000 | 4 | 184000
Male | 1962-09-27 00:00:00 | 48 | 0 | 300000 | 8 | 2400000
Male | 1967-11-24 00:00:00 | 43 | 0 | 160000 | 4 | 640000
Male | 1969-03-29 00:00:00 | 42 | 0 | 300000 | 8 | 2400000
Male | 1982-12-17 00:00:00 | 28 | 0 | 53000 | 4 | 212000
Female | 1971-06-10 00:00:00 | 39 | 0 | 45000 | 4 | 180000
Male | 1983-10-29 00:00:00 | 27 | 0 | 90000 | 4 | 360000
Male | 1967-05-28 00:00:00 | 43 | 0 | 27500 | 4 | 110000
Male | 1971-06-29 00:00:00 | 39 | 0 | 125000 | 6 | 750000
Male | 1974-06-16 00:00:00 | 36 | 0 | 145000 | 8 | 1160000
Male | 1966-08-06 00:00:00 | 44 | 0 | 300000 | 8 | 2400000
Male | 1980-09-09 00:00:00 | 30 | 0 | 75000 | 4 | 300000
Male | 1966-10-11 00:00:00 | 44 | 0 | 125000 | 4 | 500000
Male | 1986-05-05 00:00:00 | 24 | 0 | 29000 | 4 | 116000
Female | 1981-01-30 00:00:00 | 30 | 0 | 70000 | 4 | 280000
Female | 1987-01-05 00:00:00 | 24 | 0 | 42000 | 4 | 168000
Male | 1985-05-24 00:00:00 | 25 | 0 | 40000 | 4 | 160000
Male | 1978-09-20 00:00:00 | 32 | 0 | 44000 | 4 | 176000
Female | 1981-03-06 00:00:00 | 30 | 0 | 85000 | 4 | 340000
Male | 1979-01-13 00:00:00 | 32 | 0 | 125000 | 2 | 250000
Male | 1965-01-22 00:00:00 | 46 | 0 | 150000 | 8 | 1200000
Male | 1980-01-31 00:00:00 | 31 | 0 | 51000 | 4 | 204000
Male | 1976-01-23 00:00:00 | 35 | 0 | 43000 | 4 | 172000
Male | 1988-03-09 00:00:00 | 23 | 0 | 38000 | 4 | 152000
Female | 1960-05-13 00:00:00 | 50 | 0 | 70000 | 8 | 560000
Female | 1977-04-13 00:00:00 | 33 | 0 | 78000 | 4 | 312000
Male | 1973-09-29 00:00:00 | 37 | 0 | 85000 | 4 | 340000
Female | 1974-02-27 00:00:00 | 37 | 0 | 38000 | 4 | 152000
Male | 1974-10-29 00:00:00 | 36 | 0 | 135000 | 4 | 540000
Female | 1983-07-03 00:00:00 | 27 | 0 | 150000 | 2 | 300000
Female | 1980-12-09 00:00:00 | 30 | 0 | 34500 | 4 | 138000
Female | 1986-12-05 00:00:00 | 24 | 0 | 32000 | 4 | 128000
Male | 1979-12-16 00:00:00 | 31 | 0 | 125000 | 4 | 500000
Male | 1986-01-22 00:00:00 | 25 | 0 | 50000 | 4 | 200000
Female | 1962-10-05 00:00:00 | 48 | 0 | 45000 | 4 | 180000
Male | 1971-12-24 00:00:00 | 39 | 0 | 92000 | 4 | 368000
Female | 1970-03-08 00:00:00 | 41 | 0 | 45000 | 4 | 180000
Male | 1979-12-25 00:00:00 | 31 | 0 | 135000 | 8 | 1080000
Male | 1961-08-15 00:00:00 | 49 | 0 | 300000 | 6 | 1800000
Female | 1983-05-01 00:00:00 | 27 | 0 | 46000 | 4 | 184000
Male | 1969-01-08 00:00:00 | 42 | 0 | 200000 | 4 | 800000
Male | 1979-09-25 00:00:00 | 31 | 0 | 100000 | 8 | 800000
Male | 1947-11-01 00:00:00 | 63 | 0 | 130000 | 4 | 520000
Male | 1985-04-02 00:00:00 | 25 | 0 | 45000 | 4 | 180000
Male | 1985-06-01 00:00:00 | 25 | 0 | 42000 | 4 | 168000
Male | 1969-11-30 00:00:00 | 41 | 0 | 67500 | 4 | 270000
Male | 1983-12-22 00:00:00 | 27 | 0 | 50000 | 4 | 200000
Male | 1987-09-04 00:00:00 | 23 | 0 | 42000 | 2 | 84000
Male | 1971-05-28 00:00:00 | 39 | 0 | 125000 | 4 | 500000
Male | 1983-02-23 00:00:00 | 28 | 0 | 57000 | 4 | 228000
Male | 1979-08-04 00:00:00 | 31 | 0 | 65000 | 4 | 260000
Male | 1979-09-25 00:00:00 | 31 | 0 | 45000 | 8 | 360000
Male | 1972-12-15 00:00:00 | 38 | 0 | 95000 | 8 | 760000
Male | 1981-08-12 00:00:00 | 29 | 0 | 100000 | 2 | 200000
Female | 1978-09-28 00:00:00 | 32 | 0 | 58000 | 4 | 232000
Male | 1978-01-24 00:00:00 | 33 | 0 | 60000 | 4 | 240000
Male | 1983-12-01 00:00:00 | 27 | 0 | 42000 | 4 | 168000
Female | 1965-04-24 00:00:00 | 45 | 0 | 45000 | 6 | 270000
Female | 1981-07-07 00:00:00 | 29 | 0 | 49000 | 4 | 196000
Male | 1971-01-09 00:00:00 | 40 | 0 | 300000 | 4 | 1200000
Male | 1965-08-24 00:00:00 | 45 | 0 | 180000 | 8 | 1440000
Male | 1973-06-20 00:00:00 | 37 | 0 | 45000 | 4 | 180000
Male | 1965-12-23 00:00:00 | 45 | 0 | 300000 | 8 | 2400000
Male | 1958-10-26 00:00:00 | 52 | 0 | 125000 | 4 | 500000
Female | 1984-11-21 00:00:00 | 26 | 0 | 90000 | 4 | 360000
Male | 1981-03-20 00:00:00 | 30 | 0 | 82000 | 4 | 328000
Female | 1968-11-07 00:00:00 | 42 | 0 | 38500 | 4 | 154000
Female | 1978-07-09 00:00:00 | 32 | 0 | 33000 | 4 | 132000
Male | 1963-06-10 00:00:00 | 47 | 0 | 111362 | 8 | 890896
Male | 1984-01-02 00:00:00 | 27 | 0 | 44000 | 2 | 88000
Male | 1961-03-31 00:00:00 | 50 | 0 | 43000 | 4 | 172000
Male | 1980-08-11 00:00:00 | 30 | 0 | 75000 | 4 | 300000
Male | 1978-12-27 00:00:00 | 32 | 0 | 110000 | 4 | 440000
Male | 1972-03-03 00:00:00 | 39 | 0 | 225000 | 4 | 900000
Male | 1961-03-14 00:00:00 | 50 | 0 | 135000 | 5 | 675000
Male | 1968-01-04 00:00:00 | 43 | 0 | 125000 | 8 | 1000000
Male | 1971-04-23 00:00:00 | 39 | 0 | 175000 | 8 | 1400000
Male | 1967-06-28 00:00:00 | 43 | 0 | 130000 | 4 | 520000
Male | 1975-06-21 00:00:00 | 35 | 0 | 100000 | 4 | 400000
Male | 1969-05-10 00:00:00 | 41 | 0 | 150000 | 4 | 600000
Male | 1956-11-06 00:00:00 | 54 | 0 | 175000 | 6 | 1050000
Female | 1985-03-01 00:00:00 | 26 | 0 | 75000 | 4 | 300000
Male | 1972-05-05 00:00:00 | 38 | 0 | 52000 | 4 | 208000
Male | 1977-06-27 00:00:00 | 33 | 0 | 95000 | 4 | 380000
Male | 1980-08-11 00:00:00 | 30 | 0 | 50000 | 4 | 200000
Male | 1973-11-04 00:00:00 | 37 | 0 | 102000 | 4 | 408000
Female | 1980-03-26 00:00:00 | 31 | 0 | 76000 | 4 | 304000
Male | 1970-04-09 00:00:00 | 40 | 0 | 300000 | 8 | 2400000
Male | 1972-01-24 00:00:00 | 39 | 0 | 140000 | 8 | 1120000
Female | 1982-09-09 00:00:00 | 28 | 0 | 90000 | 4 | 360000
Male | 1968-01-12 00:00:00 | 43 | 0 | 300000 | 8 | 2400000
Male | 1978-11-03 00:00:00 | 32 | 0 | 90000 | 4 | 360000
Male | 1963-07-15 00:00:00 | 47 | 0 | 250000 | 4 | 1000000
Male | 1984-01-20 00:00:00 | 27 | 0 | 80000 | 4 | 320000
Male | 1971-08-19 00:00:00 | 39 | 0 | 484838 | 8 | 3878704
Male | 1973-05-14 00:00:00 | 37 | 0 | 300000 | 8 | 2400000
Female | 1984-07-26 00:00:00 | 26 | 0 | 55000 | 4 | 220000
Female | 1962-07-15 00:00:00 | 48 | 0 | 120000 | 5 | 600000
Male | 1978-09-15 00:00:00 | 32 | 0 | 125000 | 4 | 500000
Male | 1965-08-03 00:00:00 | 45 | 0 | 210000 | 4 | 840000
Male | 1961-06-27 00:00:00 | 49 | 0 | 135000 | 8 | 1080000
Male | 1983-07-16 00:00:00 | 27 | 0 | 77000 | 2 | 154000
Male | 1975-10-09 00:00:00 | 35 | 0 | 135000 | 4 | 540000
Male | 1975-12-07 00:00:00 | 35 | 0 | 60000 | 4 | 240000
Male | 1965-09-06 00:00:00 | 45 | 0 | 150000 | 8 | 1200000
Male | 1978-12-22 00:00:00 | 32 | 0 | 47000 | 5 | 235000
Female | 1981-08-14 00:00:00 | 29 | 0 | 61000 | 4 | 244000
Male | 1966-05-25 00:00:00 | 44 | 0 | 142000 | 4 | 568000
Male | 1968-07-25 00:00:00 | 42 | 0 | 300000 | 8 | 2400000
Male | 1973-12-07 00:00:00 | 37 | 0 | 89000 | 4 | 356000
Male | 1986-09-27 00:00:00 | 24 | 0 | 50000 | 4 | 200000
Female | 1982-07-08 00:00:00 | 28 | 0 | 51000 | 4 | 204000
Male | 1982-06-30 00:00:00 | 28 | 0 | 125000 | 4 | 500000
Male | 1969-04-23 00:00:00 | 41 | 0 | 200000 | 4 | 800000
Male | 1983-01-15 00:00:00 | 28 | 0 | 90000 | 4 | 360000
Male | 1981-04-13 00:00:00 | 29 | 0 | 92500 | 4 | 370000
Male | 1970-11-19 00:00:00 | 40 | 0 | 47000 | 4 | 188000
Female | 1981-12-30 00:00:00 | 29 | 0 | 59000 | 4 | 236000
Female | 1979-11-06 00:00:00 | 31 | 0 | 82000 | 4 | 328000
Male | 1978-07-02 00:00:00 | 32 | 0 | 70000 | 4 | 280000
Male | 1974-07-02 00:00:00 | 36 | 0 | 135000 | 4 | 540000
Male | 1978-06-22 00:00:00 | 32 | 0 | 93000 | 4 | 372000
Female | 1980-02-11 00:00:00 | 31 | 0 | 75000 | 4 | 300000
Male | 1967-10-20 00:00:00 | 43 | 0 | 300000 | 4 | 1200000
Male | 1972-03-22 00:00:00 | 39 | 0 | 200000 | 4 | 800000
Male | 1984-10-03 00:00:00 | 26 | 0 | 42000 | 4 | 168000
Female | 1967-06-27 00:00:00 | 43 | 0 | 35000 | 2 | 70000
Male | 1966-09-30 00:00:00 | 44 | 0 | 226484 | 4 | 905936
Male | 1976-09-10 00:00:00 | 34 | 0 | 104532 | 4 | 418128
Male | 1971-04-18 00:00:00 | 39 | 0 | 175000 | 4 | 700000
Male | 1974-07-03 00:00:00 | 36 | 0 | 85000 | 4 | 340000
Female | 1981-01-17 00:00:00 | 30 | 0 | 55000 | 8 | 440000
Male | 1971-04-15 00:00:00 | 39 | 0 | 300000 | 4 | 1200000
Male | 1970-08-14 00:00:00 | 40 | 0 | 80000 | 4 | 320000
Male | 1980-01-25 00:00:00 | 31 | 0 | 77000 | 4 | 308000
Male | 1979-03-22 00:00:00 | 32 | 0 | 48000 | 4 | 192000
Female | 1981-11-20 00:00:00 | 29 | 0 | 48000 | 4 | 192000
Male | 1969-08-17 00:00:00 | 41 | 0 | 200000 | 2 | 400000
Male | 1975-11-23 00:00:00 | 35 | 0 | 125000 | 4 | 500000
Male | 1959-01-08 00:00:00 | 52 | 0 | 150000 | 4 | 600000
Female | 1986-02-12 00:00:00 | 25 | 0 | 40000 | 4 | 160000
Female | 1958-07-20 00:00:00 | 52 | 0 | 45000 | 4 | 180000
Male | 1976-03-15 00:00:00 | 35 | 0 | 200000 | 8 | 1600000
Male | 1981-09-06 00:00:00 | 29 | 0 | 63000 | 4 | 252000
Male | 1977-08-23 00:00:00 | 33 | 0 | 58000 | 4 | 232000
Male | 1979-08-28 00:00:00 | 31 | 0 | 57000 | 5 | 285000
Female | 1977-10-30 00:00:00 | 33 | 0 | 90000 | 8 | 720000
Male | 1974-12-26 00:00:00 | 36 | 0 | 60000 | 4 | 240000
Male | 1973-10-03 00:00:00 | 37 | 0 | 76000 | 6 | 456000
Male | 1967-04-02 00:00:00 | 43 | 0 | 300000 | 4 | 1200000
Male | 1961-03-18 00:00:00 | 50 | 0 | 175000 | 4 | 700000
Female | 1975-03-18 00:00:00 | 36 | 0 | 117000 | 6 | 702000
Male | 1985-09-14 00:00:00 | 25 | 0 | 55000 | 4 | 220000
Female | 1973-04-07 00:00:00 | 37 | 0 | 45000 | 4 | 180000
Male | 1978-08-26 00:00:00 | 32 | 0 | 100000 | 4 | 400000
Female | 1976-12-27 00:00:00 | 34 | 0 | 38000 | 4 | 152000
Male | 1963-10-22 00:00:00 | 47 | 0 | 115000 | 4 | 460000
Male | 1962-11-21 00:00:00 | 48 | 0 | 175000 | 8 | 1400000
Female | 1977-06-30 00:00:00 | 33 | 0 | 95000 | 6 | 570000
Male | 1971-09-27 00:00:00 | 39 | 0 | 173000 | 8 | 1384000
Male | 1967-11-25 00:00:00 | 43 | 0 | 200000 | 8 | 1600000
Male | 1973-08-26 00:00:00 | 37 | 0 | 77500 | 3 | 232500
Male | 1967-08-14 00:00:00 | 43 | 0 | 72000 | 4 | 288000
Male | 1978-07-25 00:00:00 | 32 | 0 | 60000 | 4 | 240000
Male | 1962-05-17 00:00:00 | 48 | 0 | 150000 | 4 | 600000
Male | 1982-02-11 00:00:00 | 29 | 0 | 24120 | 4 | 96480
Male | 1964-12-10 00:00:00 | 46 | 0 | 161774 | 4 | 647096
Male | 1975-08-09 00:00:00 | 35 | 0 | 125000 | 4 | 500000
Male | 1971-06-30 00:00:00 | 39 | 0 | 40000 | 4 | 160000
Female | 1983-11-09 00:00:00 | 27 | 0 | 45000 | 4 | 180000
Female | 1972-07-25 00:00:00 | 38 | 0 | 75000 | 4 | 300000
Male | 1978-05-25 00:00:00 | 32 | 0 | 150000 | 8 | 1200000
Male | 1981-08-26 00:00:00 | 29 | 0 | 90000 | 4 | 360000
Male | 1964-11-26 00:00:00 | 46 | 0 | 175000 | 4 | 700000
Male | 1978-03-09 00:00:00 | 33 | 0 | 90000 | 4 | 360000
Male | 1977-09-15 00:00:00 | 33 | 0 | 302700 | 4 | 1210800
Male | 1979-12-27 00:00:00 | 31 | 0 | 90000 | 4 | 360000
Male | 1968-06-03 00:00:00 | 42 | 0 | 210000 | 5 | 1050000
Male | 1962-01-07 00:00:00 | 49 | 0 | 300000 | 4 | 1200000
Male | 1978-08-31 00:00:00 | 32 | 0 | 125000 | 4 | 500000
Female | 1977-12-04 00:00:00 | 33 | 0 | 80000 | 4 | 320000
Male | 1967-04-18 00:00:00 | 43 | 0 | 53000 | 4 | 212000
Female | 1979-07-11 00:00:00 | 31 | 0 | 41250 | 5 | 206250
Male | 1979-10-20 00:00:00 | 31 | 0 | 135000 | 8 | 1080000
Male | 1981-07-10 00:00:00 | 29 | 0 | 120000 | 5 | 600000
Male | 1987-04-14 00:00:00 | 23 | 0 | 42000 | 4 | 168000
Female | 1976-08-24 00:00:00 | 34 | 0 | 125000 | 8 | 1000000
Male | 1986-01-31 00:00:00 | 25 | 0 | 32500 | 4 | 130000
Male | 1982-04-15 00:00:00 | 28 | 0 | 90000 | 4 | 360000
Male | 1974-09-10 00:00:00 | 36 | 0 | 225000 | 7 | 1575000
Female | 1987-06-02 00:00:00 | 23 | 0 | 36000 | 4 | 144000
Male | 1969-08-20 00:00:00 | 41 | 0 | 57000 | 4 | 228000
Male | 1978-04-21 00:00:00 | 32 | 0 | 75000 | 5 | 375000
Female | 1977-12-01 00:00:00 | 33 | 0 | 80000 | 4 | 320000
Female | 1951-06-23 00:00:00 | 59 | 0 | 42000 | 4 | 168000
Male | 1973-03-05 00:00:00 | 38 | 0 | 125000 | 4 | 500000
Male | 1978-02-01 00:00:00 | 33 | 0 | 41000 | 4 | 164000
Male | 1949-03-02 00:00:00 | 62 | 0 | 50000 | 4 | 200000
Male | 1975-04-15 00:00:00 | 35 | 0 | 55000 | 8 | 440000
Male | 1985-01-22 00:00:00 | 26 | 0 | 60000 | 4 | 240000
Female | 1961-08-14 00:00:00 | 49 | 0 | 36000 | 4 | 144000
Male | 1959-11-26 00:00:00 | 51 | 0 | 500000 | 4 | 2000000
Male | 1973-12-11 00:00:00 | 37 | 0 | 113000 | 4 | 452000
Male | 1986-03-18 00:00:00 | 25 | 0 | 42000 | 4 | 168000
Female | 1982-08-13 00:00:00 | 28 | 0 | 65000 | 4 | 260000
Male | 1979-01-18 00:00:00 | 32 | 0 | 250000 | 4 | 1000000
Female | 1975-07-08 00:00:00 | 35 | 0 | 246000 | 4 | 984000
Male | 1988-01-03 00:00:00 | 23 | 0 | 42000 | 4 | 168000
Male | 1974-04-30 00:00:00 | 36 | 0 | 110000 | 4 | 440000
Female | 1980-05-16 00:00:00 | 30 | 0 | 110000 | 4 | 440000
Male | 1956-03-14 00:00:00 | 55 | 0 | 200000 | 4 | 800000
Male | 1984-10-10 00:00:00 | 26 | 0 | 45000 | 4 | 180000
Male | 1974-04-18 00:00:00 | 36 | 0 | 57000 | 4 | 228000
Male | 1963-02-20 00:00:00 | 48 | 0 | 300000 | 5 | 1500000
Male | 1980-02-18 00:00:00 | 31 | 0 | 135000 | 5 | 675000
Male | 1983-05-23 00:00:00 | 27 | 0 | 135000 | 4 | 540000
Male | 1979-02-06 00:00:00 | 32 | 0 | 150000 | 2 | 300000
Male | 1968-12-11 00:00:00 | 42 | 0 | 90000 | 4 | 360000
Male | 1963-12-10 00:00:00 | 47 | 0 | 45000 | 4 | 180000
Female | 1970-03-19 00:00:00 | 41 | 0 | 150000 | 4 | 600000
Male | 1982-05-28 00:00:00 | 28 | 0 | 43000 | 4 | 172000
Male | 1969-06-11 00:00:00 | 41 | 0 | 48000 | 4 | 192000
Male | 1977-09-15 00:00:00 | 33 | 0 | 101000 | 8 | 808000
Male | 1983-08-09 00:00:00 | 27 | 0 | 75000 | 4 | 300000
Female | 1987-10-27 00:00:00 | 23 | 0 | 35000 | 4 | 140000
Male | 1965-05-18 00:00:00 | 45 | 0 | 175000 | 5 | 875000
Female | 1983-03-21 00:00:00 | 28 | 0 | 35000 | 4 | 140000
Male | 1980-02-15 00:00:00 | 31 | 0 | 50000 | 4 | 200000
Female | 1979-08-13 00:00:00 | 31 | 0 | 135000 | 4 | 540000
Female | 1977-05-31 00:00:00 | 33 | 0 | 110000 | 4 | 440000
Male | 1963-03-22 00:00:00 | 48 | 0 | 70000 | 4 | 280000
Male | 1978-02-09 00:00:00 | 33 | 0 | 90000 | 4 | 360000
Male | 1978-07-03 00:00:00 | 32 | 0 | 313500 | 4 | 1254000
Female | 1981-09-01 00:00:00 | 29 | 0 | 42000 | 4 | 168000
Male | 1986-07-18 00:00:00 | 24 | 0 | 25000 | 4 | 100000
Female | 1987-01-12 00:00:00 | 24 | 0 | 85000 | 4 | 340000
Female | 1976-12-02 00:00:00 | 34 | 0 | 47000 | 4 | 188000
Male | 1988-02-22 00:00:00 | 23 | 0 | 42000 | 4 | 168000
Male | 1986-07-24 00:00:00 | 24 | 0 | 55000 | 4 | 220000
Male | 1963-03-22 00:00:00 | 48 | 0 | 70000 | 4 | 280000
Male | 1965-05-03 00:00:00 | 45 | 0 | 82500 | 4 | 330000
Male | 1978-02-09 00:00:00 | 33 | 0 | 90000 | 4 | 360000
Male | 1983-04-10 00:00:00 | 27 | 0 | 95000 | 4 | 380000
Male | 1973-06-04 00:00:00 | 37 | 0 | 115000 | 4 | 460000
Male | 1978-12-21 00:00:00 | 32 | 0 | 120000 | 4 | 480000
Male | 1983-12-19 00:00:00 | 27 | 0 | 130000 | 4 | 520000
Male | 1968-10-02 00:00:00 | 42 | 0 | 135000 | 4 | 540000
Male | 1973-09-16 00:00:00 | 37 | 0 | 300000 | 4 | 1200000
Male | 1969-02-03 00:00:00 | 42 | 0 | 300000 | 4 | 1200000
Female | 1978-07-03 00:00:00 | 32 | 0 | 313500 | 4 | 1254000
Male | 1986-07-18 00:00:00 | 24 | 0 | 25000 | 4 | 100000
Female | 1978-12-05 00:00:00 | 32 | 0 | 62000 | 4 | 248000
Female | 1977-05-31 00:00:00 | 33 | 0 | 110000 | 4 | 440000
Female | 1979-08-13 00:00:00 | 31 | 0 | 135000 | 4 | 540000
Female | 1981-09-01 00:00:00 | 29 | 0 | 42000 | 4 | 168000