import numpy as np

x = np.array([0.0341, 0.0174, 0.0185, 0.0131, 0.0096])  #Rates of trees planted
y = np.array([0.0115, 0.0073, 0.0056, 0.0082, 0.0105])  #Rates of trees destroyed

a = np.array([365, 2036, 285, 226, 460])  #Number of trees in 1975
b = np.array([471, 2494, 361, 251, 485])  #Number of trees in 1985
c = np.array([622, 2976, 441, 278, 499])  #Number of trees in 1995
d = np.array([803, 3435, 523, 314, 514])  #Number of trees in 2005
e = np.array([1013, 3827, 592, 344, 522])  #Number of trees in 2015

ax = sum(a*x*1000)
print ('The number of trees planted in 1975 was', ax)

bx = sum(b*x*1000)
print ('The number of trees planted in 1985 was', bx)

cx = sum(c*x*1000)
print ('The number of trees planted in 1995 was', cx)

dx = sum(d*x*1000)
print ('The number of trees planted in 2005 was', dx)

ex = sum(e*x*1000)
print ('The number of trees planted in 2015 was', ex)

print()

ay = sum(a*y*1000)
print ('The number of trees destroyed in 1975 was', ay)

by = sum(b*y*1000)
print ('The number of trees destroyed in 1985 was', by)

cy = sum(c*y*1000)
print ('The number of trees destroyed in 1995 was', cy)

dy = sum(d*y*1000)
print ('The number of trees destroyed in 2005 was', dy)

ey = sum(e*y*1000)
print ('The number of trees destroyed in 2015 was', ey)