What is of Total long-lived assets for North America expressed as a percentage to all other regions in 2019?
{"Net sales(1)(2): -- North America(3)": {"2019": 2828.1, "2018": 2734.9, "2017": 2591.5}, "Net sales(1)(2): -- EMEA": {"2019": 1010.4, "2018": 1038.5, "2017": 983.4}, "Net sales(1)(2): -- South America": {"2019": 233.8, "2018": 229.5, "2017": 231.8}, "Net sales(1)(2): -- APAC": {"2019": 718.8, "2018": 729.8, "2017": 654.9}, "Net sales(1)(2): -- Total": {"2019": 4791.1, "2018": 4732.7, "2017": 4461.6}, "Total long-lived assets(1)(2)(4): -- North America": {"2019": 919.3, "2018": 740.5, "2017": ""}, "Total long-lived assets(1)(2)(4): -- EMEA": {"2019": 345.8, "2018": 270.5, "2017": ""}, "Total long-lived assets(1)(2)(4): -- South America": {"2019": 50.2, "2018": 52.8, "2017": ""}, "Total long-lived assets(1)(2)(4): -- APAC": {"2019": 248.3, "2018": 211.8, "2017": ""}, "Total long-lived assets(1)(2)(4): -- Total": {"2019": 1563.6, "2018": 1275.6, "2017": ""}}
total_longlived_assets_2019 = df["Total long-lived assets(1)(2)(4): -- North America"]["2019"]
total_longlived_assets_total_2019 = df["Total long-lived assets(1)(2)(4): -- Total"]["2019"]
answer = total_longlived_assets_2019 / (total_longlived_assets_total_2019 - total_longlived_assets_2019) * 100.0