# data[].attributes.body
5 million-19 million

# data[].attributes.body
-public education
-religion -cities

# data[].attributes.body
-Shipping -Textiles -Lumber  -Furs    -Mining

# data[].attributes.body
-Canals
-Railroad

# data[].attributes.body
-rocky    -bays
-hilly  -inlets
-forests  -rivers

# data[].attributes.attachment_link.keywords[]
Tropical and subtropical coniferous forests

# data[].attributes.body
-Warm summers
-Snow winters