diff --git a/l10n_us_hr_payroll/data/state/ny_new_york.xml b/l10n_us_hr_payroll/data/state/ny_new_york.xml index a6f17a70..4bb0ac36 100644 --- a/l10n_us_hr_payroll/data/state/ny_new_york.xml +++ b/l10n_us_hr_payroll/data/state/ny_new_york.xml @@ -1,22 +1,23 @@ + US NY New York SUTA Wage Base us_ny_suta_wage_base - - 11400.0 - - - 11600.0 + + 11800.0 + + + @@ -25,6 +26,8 @@ us_ny_suta_rate + + 2.5 @@ -80,26 +83,6 @@ - - { - 'single': { - 'weekly': ((163, 0.0400, 0.0), (225, 0.0450, 6.54), (267, 0.0525, 9.31), (412, 0.0590, 11.54), (1551, 0.0633, 20.04), (1862, 0.0657, 92.17), (2070, 0.0758, 112.58), (3032, 0.0808, 128.38), (4142, 0.0707, 206.08), (5104, 0.0856, 284.60), (20722, 0.0735, 366.90), (21684, 0.5208, 1514.85), ('inf', 0.0962, 2015.62)), - 'bi-weekly': ((327, 0.0400, 0.0), (450, 0.0450, 13.08), (535, 0.0525, 18.62), (823, 0.0590, 23.08), (3102, 0.0633, 40.08), (3723, 0.0657, 184.35), (4140, 0.0758, 225.15), (6063, 0.0808, 256.77), (8285, 0.0707, 412.15), (10208, 0.0856, 569.19), (41444, 0.0735, 733.81), (43367, 0.5208, 3029.69), ('inf', 0.0962, 4021.23)), - 'semi-monthly': ((354, 0.0400, 0.0), (488, 0.0450, 14.17), (579, 0.0525, 20.17), (892, 0.0590, 25.00), (3360, 0.0633, 43.42), (4033, 0.0657, 199.71), (4485, 0.0758, 243.92), (6569, 0.0808, 278.17), (8975, 0.0707, 446.50), (11058, 0.0856, 616.63), (44898, 0.0735, 794.96), (46981, 0.5208, 3282.17), ('inf', 0.0962, 4367.17)), - 'monthly': ((708, 0.0400, 0.0), (975, 0.0450, 28.33), (1158, 0.0525, 40.33), (1783, 0.0590, 50.00), (6721, 0.0633, 86.83), (8067, 0.0657, 399.42), (8971, 0.0758, 487.83), (13138, 0.0808, 556.33), (17950, 0.0707, 893.00), (22117, 0.0856, 1233.25), (89796, 0.0735, 1589.92), (93963, 0.5208, 6564.33), ('inf', 0.0962, 8734.33)), - 'annually': ((8500, 0.0400, 0.0), (11700, 0.0450, 340.00), (13900, 0.0525, 484.00), (21400, 0.0590, 600.00), (80650, 0.0633, 1042.00), (96800, 0.0657, 4793.00), (107650, 0.0758, 5854.00), (157650, 0.0808, 6676.00), (215400, 0.0707, 10716.00), (265400, 0.0856, 14799.00), (1077550, 0.0735, 19079.00), (1127550, 0.5208, 78772.00), ('inf', 0.0962, 104812.00)), - }, - 'married': { - 'weekly': ((163, 0.0400, 0.0), (225, 0.0450, 6.54), (267, 0.0525, 9.31), (412, 0.0590, 11.54), (1551, 0.0633, 20.04), (1862, 0.0657, 92.17), (2070, 0.0783, 112.58), (3032, 0.0833, 128.90), (4068, 0.0785, 209.00), (6215, 0.0707, 290.37), (7177, 0.0916, 442.17), (20722, 0.0735, 530.25), (41449, 0.0765, 1525.83), (42411, 0.9454, 3111.42), ('inf', 0.0962, 4020.46)), - 'bi-weekly': ((327, 0.0400, 0.0), (450, 0.0450, 13.08), (535, 0.0525, 18.62), (823, 0.0590, 23.08), (3102, 0.0633, 40.08), (3723, 0.0657, 184.35), (4140, 0.0783, 225.15), (6063, 0.0833, 257.81), (8137, 0.0785, 418.00), (12431, 0.0707, 580.73), (14354, 0.0916, 884.35), (41444, 0.0735, 1060.50), (82898, 0.0765, 3051.65), (84821, 0.9454, 6222.85), ('inf', 0.0962, 8040.92)), - 'semi-monthly': ((354, 0.0400, 0.0), (488, 0.0450, 14.17), (579, 0.0525, 20.17), (892, 0.0590, 25.00), (3360, 0.0633, 43.42), (4033, 0.0657, 199.71), (4485, 0.0783, 243.92), (6569, 0.0833, 279.29), (8815, 0.0785, 452.83), (13476, 0.0707, 629.13), (15550, 0.0916, 958.04), (44898, 0.0735, 1148.88), (89806, 0.0765, 3305.96), (91890, 0.9454, 6741.42), ('inf', 0.0962, 8711.00)), - 'monthly': ((708, 0.0400, 0.0), (975, 0.0450, 28.33), (1158, 0.0525, 40.33), (1783, 0.0590, 50.00), (6721, 0.0633, 86.83), (8067, 0.0657, 399.42), (8971, 0.0783, 487.83), (13138, 0.0833, 558.58), (17629, 0.0785, 905.67), (26933, 0.0707, 1258.25), (31100, 0.0916, 1916.08), (89796, 0.0735, 2297.75), (179613, 0.0765, 6611.92), (183779, 0.9454, 13482.83), ('inf', 0.0962, 17422.00)), - 'annually': ((8500, 0.0400, 0.0), (11700, 0.0450, 340.00), (13900, 0.0525, 484.00), (21400, 0.0590, 600.00), (80650, 0.0633, 1042.00), (96800, 0.0657, 4793.00), (107650, 0.0783, 5854.00), (157650, 0.0833, 6703.00), (211550, 0.0785, 10868.00), (323200, 0.0707, 15099.00), (373200, 0.0916, 22993.00), (1077550, 0.0735, 27573.00), (2155350, 0.0765, 79343.00), (2205350, 0.9454, 161794.00), ('inf', 0.0962, 209064.00)), - } - } - - - { 'single': { @@ -270,6 +253,177 @@ + + + { + 'single': { + 'weekly': ( + ( 163, 0.0400, 0.00), + ( 225, 0.0450, 6.54), + ( 267, 0.0525, 9.31), + ( 412, 0.0590, 11.54), + ( 1551, 0.0597, 20.04), + ( 1862, 0.0633, 88.06), + ( 2070, 0.0738, 107.73), + ( 3032, 0.0788, 123.12), + ( 4142, 0.0683, 198.88), + ( 5104, 0.0959, 274.75), + (20722, 0.0735, 366.96), + (21684, 0.5208, 1514.90), + ('inf', 0.0962, 2015.67), + ), + 'bi-weekly': ( + ( 327, 0.0400, 0.00), + ( 450, 0.0450, 13.08), + ( 535, 0.0525, 18.62), + ( 823, 0.0590, 23.08), + ( 3102, 0.0597, 40.08), + ( 3723, 0.0633, 176.12), + ( 4140, 0.0738, 215.46), + ( 6063, 0.0788, 246.23), + ( 8285, 0.0683, 397.77), + (10208, 0.0959, 549.50), + (41444, 0.0735, 733.92), + (43367, 0.5208, 3029.81), + ('inf', 0.0962, 4031.45), + ), + 'semi-monthly': ( + ( 354, 0.0400, 0.00), + ( 488, 0.0450, 14.17), + ( 579, 0.0525, 20.17), + ( 892, 0.0590, 25.00), + ( 3360, 0.0597, 43.42), + ( 4033, 0.0633, 190.79), + ( 4485, 0.0738, 233.42), + ( 6569, 0.0788, 266.75), + ( 8975, 0.0683, 430.92), + (11058, 0.0959, 595.29), + (44898, 0.0735, 795.08), + (46981, 0.5208, 3282.29), + ('inf', 0.0962, 4367.29), + ), + 'monthly': ( + ( 708, 0.0400, 0.00), + ( 975, 0.0450, 28.33), + ( 1158, 0.0525, 40.33), + ( 1783, 0.0590, 50.00), + ( 6721, 0.0597, 86.83), + ( 8067, 0.0633, 381.58), + ( 8971, 0.0738, 466.83), + (13138, 0.0788, 533.50), + (17950, 0.0683, 861.83), + (22117, 0.0959, 1190.58), + (89796, 0.0735, 1590.17), + (93963, 0.5208, 6564.58), + ('inf', 0.0962, 8734.58), + ), + 'annually': ( + ( 8500, 0.0400, 0.00), + ( 11700, 0.0450, 340.00), + ( 13900, 0.0525, 484.00), + ( 21400, 0.0590, 600.00), + ( 80650, 0.0597, 1042.00), + ( 96800, 0.0633, 4579.00), + ( 107650, 0.0738, 5602.00), + ( 157650, 0.0788, 6402.00), + ( 215400, 0.0683, 10342.00), + ( 265400, 0.0959, 14287.00), + (1077550, 0.0735, 19082.00), + (1127550, 0.5208, 78775.00), + ( 'inf', 0.0962, 104815.00), + ), + }, + 'married': { + 'weekly': ( + ( 163, 0.0400, 0.00), + ( 225, 0.0450, 6.54), + ( 267, 0.0525, 9.31), + ( 412, 0.0590, 11.54), + ( 1551, 0.0597, 20.04), + ( 1862, 0.0633, 88.06), + ( 2070, 0.0728, 107.73), + ( 3032, 0.0778, 122.90), + ( 4068, 0.0799, 197.71), + ( 6215, 0.0683, 280.54), + ( 7177, 0.1071, 427.19), + (20722, 0.0735, 530.17), + (41449, 0.0765, 1525.73), + (42411, 0.9454, 3111.35), + ('inf', 0.0962, 4020.38), + ), + 'bi-weekly': ( + ( 327, 0.0400, 0.00), + ( 450, 0.0450, 13.08), + ( 535, 0.0525, 18.62), + ( 823, 0.0590, 23.08), + ( 3102, 0.0597, 40.08), + ( 3723, 0.0633, 176.12), + ( 4140, 0.0728, 215.46), + ( 6063, 0.0778, 245.81), + ( 8137, 0.0799, 395.42), + (12431, 0.0683, 561.08), + (14354, 0.1071, 854.38), + (41444, 0.0735, 1060.35), + (82898, 0.0765, 3051.46), + (84821, 0.9454, 6222.69), + ('inf', 0.0962, 8040.77), + ), + 'semi-monthly': ( + ( 354, 0.0400, 0.00), + ( 488, 0.0450, 14.17), + ( 579, 0.0525, 20.17), + ( 892, 0.0590, 25.00), + ( 3360, 0.0597, 43.42), + ( 4033, 0.0633, 190.79), + ( 4485, 0.0728, 233.42), + ( 6569, 0.0778, 266.29), + ( 8815, 0.0799, 428.38), + (13467, 0.0683, 607.83), + (15550, 0.1071, 925.58), + (44898, 0.0735, 1148.71), + (89806, 0.0765, 3305.75), + (91890, 0.9454, 6741.25), + ('inf', 0.0962, 8710.83), + ), + 'monthly': ( + ( 708, 0.0400, 0.00), + ( 975, 0.0450, 28.33), + ( 1158, 0.0525, 40.33), + ( 1783, 0.0590, 50.00), + ( 6721, 0.0597, 86.83), + ( 8067, 0.0633, 381.58), + ( 8971, 0.0728, 466.83), + ( 13138, 0.0778, 532.58), + ( 17629, 0.0799, 856.75), + ( 26933, 0.0683, 1215.67), + ( 31100, 0.1071, 1851.17), + ( 89796, 0.0735, 2297.42), + (179613, 0.0765, 6611.50), + (183779, 0.9454, 13482.50), + ( 'inf', 0.0962, 17421.67), + ), + 'annually': ( + ( 8500, 0.0400, 0.00), + ( 11700, 0.0450, 340.00), + ( 13900, 0.0525, 484.00), + ( 21400, 0.0590, 600.00), + ( 80650, 0.0597, 1042.00), + ( 96800, 0.0633, 4579.00), + ( 107650, 0.0728, 5602.00), + ( 157650, 0.0778, 6391.00), + ( 211550, 0.0799, 10281.00), + ( 323200, 0.0683, 14588.00), + ( 373200, 0.1071, 22214.00), + (1077550, 0.0735, 27569.00), + (2155350, 0.0765, 79338.00), + (2205350, 0.9454, 161790.00), + ( 'inf', 0.0962, 209060.00), + ), + } + } + + + @@ -278,17 +432,6 @@ - - { - 'weekly': (142.30, 152.90, 19.25), - 'bi-weekly': (284.60, 305.80, 38.50), - 'semi-monthly': (308.35, 331.25, 41.65), - 'monthly': (616.70, 662.50, 83.30), - 'annual': (7400, 7950, 1000), - } - - - { 'weekly': (142.30, 152.90, 19.25), @@ -300,6 +443,17 @@ + + { + 'weekly': (142.30, 152.90, 19.25), + 'bi-weekly': (284.60, 305.80, 38.50), + 'semi-monthly': (308.35, 331.25, 41.65), + 'monthly': (616.70, 662.50, 83.30), + 'annual': (7400, 7950, 1000), + } + + + @@ -308,26 +462,6 @@ - - { - 'single': { - 'weekly': (142.30, 161.55, 180.80, 200.05, 219.30, 238.55, 257.80, 277.05, 296.30, 315.55, 334.80), - 'bi-weekly': (284.60, 323.10, 361.60, 400.10, 438.60, 477.10, 515.60, 544.10, 592.60, 631.10, 669.60), - 'semi-monthly': (308.35, 350.0, 391.65, 433.30, 474.95, 516.60, 558.25, 599.90, 641.55, 683.20, 724.85), - 'monthly': (616.70, 700, 783.30, 866.60, 949.90, 1033.20, 1116.50, 1199.80, 1283.10, 1366.40, 1449.70), - 'annually': (7400, 8400, 9400, 10400, 11400, 12400, 13400, 14400, 15400, 16400, 17400), - }, - 'married': { - 'weekly': (152.90, 172.15, 191.40, 210.65, 229.90, 249.15, 268.40, 287.65, 306.90, 326.15, 345.40), - 'bi-weekly': (305.80, 344.30, 382.80, 421.30, 459.80, 498.30, 536.80, 575.30, 613.80, 652.30, 690.80), - 'semi-monthly': (331.25, 372.90, 414.55, 456.20, 497.85, 539.50, 581.15, 622.80, 664.45, 706.10, 747.75), - 'monthly': (662.50, 745.80, 829.10, 912.40, 995.70, 1079.00, 1162.30, 1245.60, 1328.90, 1412.20, 1495.50), - 'annually': (7950, 8950, 9950, 10950, 11950, 12950, 13950, 14950, 15950, 16950, 17950), - }, - } - - - { 'single': { @@ -348,6 +482,26 @@ + + { + 'single': { + 'weekly': (142.30, 161.55, 180.80, 200.05, 219.30, 238.55, 257.80, 277.05, 296.30, 315.55, 334.80), + 'bi-weekly': (284.60, 323.10, 361.60, 400.10, 438.60, 477.10, 515.60, 544.10, 592.60, 631.10, 669.60), + 'semi-monthly': (308.35, 350.0, 391.65, 433.30, 474.95, 516.60, 558.25, 599.90, 641.55, 683.20, 724.85), + 'monthly': (616.70, 700, 783.30, 866.60, 949.90, 1033.20, 1116.50, 1199.80, 1283.10, 1366.40, 1449.70), + 'annually': (7400, 8400, 9400, 10400, 11400, 12400, 13400, 14400, 15400, 16400, 17400), + }, + 'married': { + 'weekly': (152.90, 172.15, 191.40, 210.65, 229.90, 249.15, 268.40, 287.65, 306.90, 326.15, 345.40), + 'bi-weekly': (305.80, 344.30, 382.80, 421.30, 459.80, 498.30, 536.80, 575.30, 613.80, 652.30, 690.80), + 'semi-monthly': (331.25, 372.90, 414.55, 456.20, 497.85, 539.50, 581.15, 622.80, 664.45, 706.10, 747.75), + 'monthly': (662.50, 745.80, 829.10, 912.40, 995.70, 1079.00, 1162.30, 1245.60, 1328.90, 1412.20, 1495.50), + 'annually': (7950, 8950, 9950, 10950, 11950, 12950, 13950, 14950, 15950, 16950, 17950), + }, + } + + + diff --git a/l10n_us_hr_payroll/tests/test_us_ny_new_york_payslip_2019.py b/l10n_us_hr_payroll/tests/test_us_ny_new_york_payslip_2019.py deleted file mode 100644 index 2c3b9306..00000000 --- a/l10n_us_hr_payroll/tests/test_us_ny_new_york_payslip_2019.py +++ /dev/null @@ -1,133 +0,0 @@ -# Part of Hibou Suite Professional. See LICENSE_PROFESSIONAL file for full copyright and licensing details. - -from .common import TestUsPayslip, process_payslip - - -class TestUsNYPayslip(TestUsPayslip): - ### - # Taxes and Rates - ### - NY_UNEMP_MAX_WAGE = 11400.0 - NY_UNEMP = 2.5 - NY_RSF = 0.075 - NY_MCTMT = 0.0 - - def test_single_example1(self): - salary = 400 - schedule_pay = 'weekly' - allowances = 3 - additional_withholding = 0 - filing_status = 'single' - additional = 0.0 - wh = -8.20 - - employee = self._createEmployee() - - contract = self._createContract(employee, - wage=salary, - state_id=self.get_us_state('NY'), - ny_it2104_sit_filing_status=filing_status, - state_income_tax_additional_withholding=additional, - ny_it2104_sit_allowances=allowances, - schedule_pay=schedule_pay) - - self.assertEqual(contract.schedule_pay, 'weekly') - self._log('2018 New York tax first payslip:') - payslip = self._createPayslip(employee, '2019-01-01', '2019-01-31') - - payslip.compute_sheet() - - cats = self._getCategories(payslip) - - self.assertPayrollEqual(cats['NY_UNEMP'], cats['NY_UNEMP_WAGES'] * self.NY_UNEMP) - self.assertPayrollEqual(cats['NY_RSF'], cats['NY_UNEMP_WAGES'] * self.NY_RSF) - self.assertPayrollEqual(cats['NY_MCTMT'], cats['NY_UNEMP_WAGES'] * self.NY_MCTMT) - self.assertPayrollEqual(cats['EE_US_SIT'], wh) - - process_payslip(payslip) - - def test_married_example2(self): - salary = 5000 - schedule_pay = 'semi-monthly' - allowances = 3 - additional = 0 - filing_status = 'married' - wh = -284.19 - - employee = self._createEmployee() - contract = self._createContract(employee, - wage=salary, - state_id=self.get_us_state('NY'), - ny_it2104_sit_filing_status=filing_status, - state_income_tax_additional_withholding=additional, - ny_it2104_sit_allowances=allowances, - schedule_pay=schedule_pay) - - self._log('2019 New York tax first payslip:') - payslip = self._createPayslip(employee, '2019-01-01', '2019-01-31') - - payslip.compute_sheet() - - cats = self._getCategories(payslip) - - self.assertPayrollEqual(cats['NY_UNEMP'], cats['NY_UNEMP_WAGES'] * self.NY_UNEMP) - self.assertPayrollEqual(cats['NY_RSF'], cats['NY_UNEMP_WAGES'] * self.NY_RSF) - self.assertPayrollEqual(cats['NY_MCTMT'], cats['NY_UNEMP_WAGES'] * self.NY_MCTMT) - self.assertPayrollEqual(cats['EE_US_SIT'], wh) - - process_payslip(payslip) - - def test_single_example3(self): - salary = 50000 - schedule_pay = 'monthly' - allowances = 3 - additional = 0 - filing_status = 'single' - wh = -3575.63 - - employee = self._createEmployee() - - contract = self._createContract(employee, - wage=salary, - state_id=self.get_us_state('NY'), - ny_it2104_sit_filing_status=filing_status, - state_income_tax_additional_withholding=additional, - ny_it2104_sit_allowances=allowances, - schedule_pay=schedule_pay) - - self._log('2019 New York tax first payslip:') - payslip = self._createPayslip(employee, '2019-01-01', '2019-01-31') - - payslip.compute_sheet() - - cats = self._getCategories(payslip) - - self.assertPayrollEqual(cats['EE_US_SIT'], wh) - - def test_exempt_example3(self): - salary = 50000 - schedule_pay = 'monthly' - allowances = 3 - additional = 0 - filing_status = '' - wh = 0.0 - - employee = self._createEmployee() - - contract = self._createContract(employee, - wage=salary, - state_id=self.get_us_state('NY'), - ny_it2104_sit_filing_status=filing_status, - state_income_tax_additional_withholding=additional, - ny_it2104_sit_allowances=allowances, - schedule_pay=schedule_pay) - - self._log('2019 New York tax first payslip:') - payslip = self._createPayslip(employee, '2019-01-01', '2019-01-31') - - payslip.compute_sheet() - - cats = self._getCategories(payslip) - - self.assertPayrollEqual(cats['EE_US_SIT'], wh) - diff --git a/l10n_us_hr_payroll/tests/test_us_ny_new_york_payslip_2021.py b/l10n_us_hr_payroll/tests/test_us_ny_new_york_payslip_2021.py new file mode 100644 index 00000000..e8f0383d --- /dev/null +++ b/l10n_us_hr_payroll/tests/test_us_ny_new_york_payslip_2021.py @@ -0,0 +1,39 @@ +# Part of Hibou Suite Professional. See LICENSE_PROFESSIONAL file for full copyright and licensing details. + +from datetime import date, timedelta +from .common import TestUsPayslip + + +class TestUsNYPayslip(TestUsPayslip): + ### + # 2021 Taxes and Rates + ### + NY_UNEMP_MAX_WAGE = 11800.0 + NY_UNEMP = 2.5 #todo: update Feb 2021 + NY_RSF = 0.075 #todo: update Feb 2021 + NY_MCTMT = 0.0 #todo: update Feb 2021 + + def _test_sit(self, wage, filing_status, additional_withholding, allowances, schedule_pay, date_start, expected_withholding): + employee = self._createEmployee() + contract = self._createContract(employee, + wage=wage, + state_id=self.get_us_state('NY'), + ny_it2104_sit_filing_status=filing_status, + state_income_tax_additional_withholding=additional_withholding, + ny_it2104_sit_allowances=allowances, + schedule_pay=schedule_pay) + payslip = self._createPayslip(employee, date_start, date_start + timedelta(days=7)) + payslip.compute_sheet() + cats = self._getCategories(payslip) + + self._log('Computed period tax: ' + str(expected_withholding)) + self.assertPayrollAlmostEqual(cats.get('EE_US_SIT', 0.0), -expected_withholding) + + def test_2020_taxes_example(self): + combined_er_rate = self.NY_UNEMP + self.NY_RSF + self.NY_MCTMT + self._test_er_suta('NY', combined_er_rate, date(2021, 1, 1), wage_base=self.NY_UNEMP_MAX_WAGE, relaxed=True) + self._test_sit(400.0, 'single', 0.0, 3, 'weekly', date(2021, 1, 1), 8.20) + self._test_sit(10000.0, 'single', 0.0, 3, 'monthly', date(2021, 1, 1), 546.30) + self._test_sit(8000.0, 'married', 0.0, 5, 'monthly', date(2021, 1, 1), 394.24) + self._test_sit(4500.0, 'married', 10.0, 3, 'semi-monthly', date(2021, 1, 1), 244.21) + self._test_sit(50000.0, '', 0.0, 0, 'monthly', date(2021, 1, 1), 0.00)