# data[].attributes.headline
People going to New England went with their families to settle down and live there

# data[].attributes.subject
People going to New England went with their families to settle down and live there

# data[].attributes.body
On the New England boat there were more family members and married couples

# data[].attributes.headline
New England boat has more people who traveled with families p than Virginia boat.

# data[].attributes.subject
New England boat has more people who traveled with families p than Virginia boat.

# data[].attributes.headline
There are more young adults than any other age group

# data[].attributes.subject
There are more young adults than any other age group

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About the same number of children from 5-13 on both boats.

# data[].attributes.subject
About the same number of children from 5-13 on both boats.

# data[].attributes.body
A lot of the woman were traveling with a family member

# data[].attributes.headline
On the boat to New England, more families are going. More men without families are going to Virginia.

# data[].attributes.subject
On the boat to New England, more families are going. More men without families are going to Virginia.

# data[].attributes.body
There is more young adults than any other group, which I believe means that the young adults are seeking wealth.

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People going to Virginia were mostly young men going without families, most likely to work on the plantations

# data[].attributes.subject
People going to Virginia were mostly young men going without families, most likely to work on the plantations

# data[].attributes.body
On the ship to Virginia, the majority of the people on it are men, and few of them are with family. This leads me to infer that they are going to Virginia to work.

# data[].attributes.body
more married couples on the New England Boat

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more married couples on the New England Boat

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both have more young adults than anything else

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both have more young adults than anything else

# data[].attributes.body
there are a lot of young adults

# data[].attributes.headline
Mostly young adults and adults on both boats.

# data[].attributes.subject
Mostly young adults and adults on both boats.

# data[].attributes.headline
the people going to Virginia were not going for family reasons.

# data[].attributes.subject
the people going to Virginia were not going for family reasons.

# data[].attributes.body
more married couples on the New England Boat

# data[].attributes.body
there are alot of young adul

# data[].attributes.body
More people wanted to get rich and go to Virginia than  be religious and go to New England

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we can tell that certain families are wealthy such as the Tuttel family, because they took a large family on the boat

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we can tell that certain families are wealthy such as the Tuttel family, because they took a large family on the boat

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more married couples on the New

# data[].attributes.headline
There are children at the age of 8 and 10 going without family to the New World.

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There are children at the age of 8 and 10 going without family to the New World.

# data[].attributes.body
The People traveling to New England were wealthier.

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There were more people on the Virginia boat, but more families going to New England

# data[].attributes.subject
There were more people on the Virginia boat, but more families going to New England

# data[].attributes.headline
More married people and or with families going to New England

# data[].attributes.subject
More married people and or with families going to New England

# data[].attributes.body
more married people

# data[].attributes.body
There are fewer married passengers on the Virginia boat than the New England boat

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More men than women traveling because men had a bigger opportunity to get wealthy in the colonies.

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More men than women traveling because men had a bigger opportunity to get wealthy in the colonies.

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There is a closer ratio of men to women going to New England than going to New York.

# data[].attributes.subject
There is a closer ratio of men to women going to New England than going to New York.