employee_data = [ ["Willena Shupe", 68380, 77787.85, "M", 9324.5, 8992.33, "238 EAST 4TH STREET", "", "10009", "995-90-3822", "8/29/1982"], ["Jolanda Agin", 129375, 131235.09, "S", 29206.75, 20876.00, "303 EAST 4TH STREET", "", "10009", "118-64-4959", "4/3/1988"], ["Leta Stacker", 172189, 194093.7, "S", 41194.67, 0, "715 EAST 5TH STREET", "", "10009", "345-57-6947", "4/17/1951"], ["Leonora Oliverio", 203796, 210209.32, "M", 43947.38, 39029.24, "274 EAST SEVENTH STREET", "", "10009", "632-40-1953", "11/14/1967"], ["Birgit Stoudt", 168418, 198681.66, "M", 34041.54, 36262.60, "241 EAST 2ND STREET", "", "10009", "497-60-1619", "7/23/1960"], ["Aron Valtierra", 196695, 228767.42, "M", 41959.1, 43483.18, " 101 AVENUE D", "B", "10009", "428-06-1846", "7/23/1971"], ["Vi Buschman", 39486, 44724.88, "S", 5610.25, 0, " 101 AVENUE D", "C", "10009", "311-11-3801", "8/15/1963"], ["Janee Barnwell", 85387, 86141.32, "S", 17085.5, 0, "211 EAST 3RD STREET", "5F", "10009", "759-79-3369", "11/12/1951"], ["Agnus Flower", 241532, 280832.58, "M", 54922.56, 55978.82, "211 EAST 3RD STREET", "6R", "10009", "034-60-0074", "3/8/1983"], ["Byron Mccartney", 141893, 169887.13, "S", 32711.79, 0, "525 EAST 11TH STREET", "PH8A", "10009", "279-59-7120", "4/2/1976"], ["Victoria Crabill", 90472, 92154.42, "S", 18356.75, 0, "122 AVENUE C", "", "10009", "051-96-0241", "9/21/1972"], ["Amy Swinton", 37773, 41928.75, "S", 5199.7, 0, "650 EAST 6TH STREET", "", "10009", "757-08-5403", "7/23/1958"], ["Arla Mohamed", 161207, 189347.41, "M", 32022.46, 34022.38, "650 EAST 6TH STREET", "", "10009", "177-67-0119", "8/25/1961"], ["Bryon Vester", 77589, 92661.19, "S", 15136, 0, "137 AVENUE C", "", "10009", "806-26-4077", "1/31/1969"], ["Lue Benway", 183887, 216939.19, "M", 38372.86, 40644.41, "165 AVENUE B", "", "10009", "156-08-0769", "2/2/1959"], ["Mozelle Macauley", 504320, 585134.36, "M", 165652.32, 156176.03, "753 EAST 5TH STREET", "2A", "10009", "500-80-0880", "11/28/1965"], ["Suzann Galindo", 64709, 74014.6, "S", 11916, 0, "753 EAST 5TH STREET", "4B", "10009", "042-28-9287", "3/19/62"], ["Delicia Barriere", 149387, 174949.85, "M", 28824.25, 30566.96, "366 EAST 8TH STREET", "2", "10009", "414-23-2859", "8/17/1964"], ["Marcella Uyehara", 61498, 62479.06, "S", 11113.25, 0, "643 EAST 11 STREET", "5", "10009", "340-03-4917", "1/20/1975"], ["Jane Curley", 92920, 109376.38, "S", 18999.35, 0, "205 8 AVENUE", "", "10011", "073-49-0558", "9/28/1989"]] T1=0.0 T2=0.0 RATE1=0.10 RATE2=0.12 RATE3=0.22 RATE4=0.24 RATE5=0.32 RATE6=0.35 RATE7=0.37 RATE1_SINGLE=9525.0 RATE2_SINGLE=38700.0 RATE3_SINGLE=82500.0 RATE4_SINGLE=157500.0 RATE5_SINGLE=200000.0 RATE6_SINGLE=500000.0 RATE1_MARRIED=19050.0 RATE2_MARRIED=77400.0 RATE3_MARRIED=165000.0 RATE4_MARRIED=315000.0 RATE5_MARRIED=400000.0 RATE6_MARRIED=600000.0 print("%-20s%-20s%-20s%-10s"%("NAME","SALARY 2018","MARITAL STATUS","TAX 2018")) for i in range(len(employee_data)): if employee_data[i][5]==0: if employee_data[i][3] == "s": if employee_data[i][2] <= RATE1_SINGLE: T1 = RATE1 * employee_data[i][2] elif (employee_data[i][2] <= RATE2_SINGLE): T1 = 952.50 T2 = RATE2 * (employee_data[i][2]-RATE2_SINGLE) elif (employee_data[i][2] <= RATE3_SINGLE): T1 = 4453.0 T2 = RATE3 * (employee_data[i][2]-RATE3_SINGLE) elif (employee_data[i][2] <= RATE4_SINGLE): T1 = 14089.50 T2 = RATE4 * (employee_data[i][2]-RATE4_SINGLE) elif (employee_data[i][2] <= RATE5_SINGLE): T1 = 32089.50 T2 = RATE5 * (employee_data[i][2]-RATE5_SINGLE) elif (employee_data[i][2] <= RATE6_SINGLE): T1 = 45689.50 T2 = RATE6 * (employee_data[i][2]-RATE6_SINGLE) elif (employee_data[i][2] > RATE6_SINGLE): T1 = 150689.50 T2 = RATE7 * (employee_data[i][2]-RATE6_SINGLE) else: if (employee_data[i][2] <= RATE1_MARRIED): T1 = RATE1 * employee_data[i][2] elif (employee_data[i][2] <= RATE2_MARRIED): T1 = 1905.0 T2 = RATE2 * employee_data[i][2] elif (employee_data[i][2] <= RATE3_MARRIED): T1 = 8907.0 T2 = RATE3 * employee_data[i][2] elif (employee_data[i][2] <= RATE4_MARRIED): T1 = 28179.0 T2 = RATE4 * employee_data[i][2] elif (employee_data[i][2] <= RATE5_MARRIED): T1 = 64179.0 T2 = RATE5 * employee_data[i][2] elif (employee_data[i][2] <= RATE6_MARRIED): T1 = 91379.0 T2 = RATE6 * employee_data[i][2] elif (employee_data[i][2] > RATE2_MARRIED): T1 = 161379.0 T2 = RATE7 * employee_data[i][2] employee_data[i][5] = T1+T2 #for k in range(len(SALARY 2018)) print("%-20s%-25s%-15s%-20s"% (employee_data[i][0],'${:,.2f}'.format(employee_data[i][2]),employee_data[i][3],'${:,.2f}'.format(employee_data[i][5]))) ============================================================

This Python code executes fine, i just need to add the sum of the columns and display as below

Salary 2018 and display at the bottom

SALARY 2018

11

12

Total 22