What was the change in U.S. Income before income taxes in 2019 from 2018?
{"Income before income taxes -- U.S": {"2019": 192442, "2018": 189691, "2017": 76699}, "Income before income taxes -- Non-U.S": {"2019": 333330, "2018": 278110, "2017": 447713}, "Income before income taxes -- ": {"2019": 525772, "2018": 467801, "2017": 524412}, "Current: -- U.S. Federal": {"2019": 19297, "2018": -59122, "2017": 162679}, "Current: -- Non-U.S": {"2019": 52810, "2018": 45083, "2017": 64313}, "Current: -- State": {"2019": -4347, "2018": 1721, "2017": 2623}, "Current: -- ": {"2019": 67760, "2018": -12318, "2017": 229615}, "Deferred: -- U.S. Federal": {"2019": -4522, "2018": 29252, "2017": 43687}, "Deferred: -- Non-U.S": {"2019": -8007, "2018": -1243, "2017": -6476}, "Deferred: -- State": {"2019": 3073, "2018": 331, "2017": -106}, "Deferred: -- ": {"2019": -9456, "2018": 28340, "2017": 37105}, "Deferred: -- Total provision for income taxes": {"2019": 58304, "2018": 16022, "2017": 266720}}
income_before_income_taxes_us_2019 = df["Income before income taxes -- U.S"]["2019"]
income_before_income_taxes_us_2018 = df["Income before income taxes -- U.S"]["2018"]
answer = income_before_income_taxes_us_2019 - income_before_income_taxes_us_2018