# data[].attributes.body
-Different industries, different economy
-Textiles, and Iron

# data[].attributes.body
-Crowed
-Dirty
-Improved in cleanness

# data[].attributes.body
-In the 1800-1860 there where 5 million- 19 million during that time period

# data[].attributes.body
-Merchants
-Manufactures
-Religon

# data[].attributes.body
-Water transportation
-Railroads
-Cana

# data[].attributes.body
-rocky
-forests
-hilly

# data[].attributes.body
-warm summers
-snowy winters