import numpy as np

years $=$ np$.$array$([1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023])$

# Number of people employed in the US by year in January $($in thousands$)$

employment$\_$jan $=$ np$.$array$([29923,31603,34481,38347,42172,42654,41895,39829,43535,44679,44668,43526,47288,48296,50144,49469,49496,51975,52887,52076,52478,54274,53683,54891,56115,57487,59582,62529,65407,66804,69439,71176,70865,72441,75617,78100,77293,78503,80690,84594,88808,90800,91033,90565,88990,92673,96372,98732,100678,103753,107161,109189,109051,108367,109795,112598,116504,118318,121363,124813,127704,131009,132699,130853,130580,130766,132779,135425,137475,138397,134066,129795,130839,133243,135263,137551,140562,143196,145636,147667,150062,152045,142916,150014,154773])$

# Number of people employed in the US by year in April $($in thousands$)$

employment$\_$apr $=$ np$.$array