RUcore: Rutgers University Community Repository
1874 Sanborn Insurance Diagram of Trenton, NJ (Sheet 10 of 20)
Descriptive
TypeOfResource
StillImage
TitleInfo
(ID = T-1)
Title
1874 Sanborn Insurance Diagram of Trenton, NJ (Sheet 10 of 20)
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.1/rucore00000002072.Map.000054776
Subject
(ID = SBJ-1);
(authority = street_name)
Geographic
Canal
Subject
(ID = SBJ-2);
(authority = street_name)
Geographic
Clinton
Subject
(ID = SBJ-3);
(authority = street_name)
Geographic
Grand
Subject
(ID = SBJ-4);
(authority = street_name)
Geographic
Millham
Subject
(ID = SBJ-5);
(authority = street_name)
Geographic
Park
Subject
(ID = SBJ-6);
(authority = street_name)
Geographic
Railroad
Subject
(ID = SBJ-7);
(authority = street_name)
Geographic
State
Subject
(ID = SBJ-8);
(authority = street_name)
Geographic
Stockton
Subject
(ID = SBJ-9);
(authority = street_name)
Geographic
Yard
Subject
(ID = SBJ-10)
HierarchicalGeographic
Country
UNITED STATES
State
New Jersey
County
Mercer County
City
Trenton (N.J.)
Abstract
(type = abstract)
Sanborn Maps were originally created for assessing fire insurance liability and include detailed information about building construction and function, street names and width, natural features, and house and block numbers.
The index page features a master index with a map of the entire city divided into 19 hand-colored sections. The sections are numbered to correspond to the individual large scale maps in the bound volume.
The Index page also includes an index of streets and addresses and a "specials" index with names of businesses, schools, churches and other points of interest. There is a comprehensive color-coded Key to the symbols and information used on the maps.
This is Sheet 10 of the large scale maps within the bound volume of the 1874 Sanborn Insurance Diagram of Trenton, NJ. The map scale is 1" = 50'.
The index page features a master index with a map of the entire city divided into 19 hand-colored sections. The sections are numbered to correspond to the individual large scale maps in the bound volume.
The Index page also includes an index of streets and addresses and a "specials" index with names of businesses, schools, churches and other points of interest. There is a comprehensive color-coded Key to the symbols and information used on the maps.
This is Sheet 10 of the large scale maps within the bound volume of the 1874 Sanborn Insurance Diagram of Trenton, NJ. The map scale is 1" = 50'.
PhysicalDescription
Extent
(unit = image(s))
1
InternetMediaType
application/pdf
InternetMediaType
image/jpeg
InternetMediaType
image/x-djvu
Note
The Sanborn maps of the city of Trenton originally published in 1874 have been corrected to May 1880, October 1884 and 1885, February and April 1886.
The scale of the maps is 1" = 50 '
The scale of the maps is 1" = 50 '
Name
(ID = NAME-1);
(type = personal)
NamePart
(type = family)
Sanborn
NamePart
(type = given)
D.A.
NamePart
(type = termsOfAddress)
C.E.
Role
RoleTerm
(authority = marcrelator);
(type = text)
Publisher
Description
117 Broadway, NY
OriginInfo
DateCreated
(qualifier = exact)
1874
Place
PlaceTerm
(type = text)
117 Broadway, NY
Publisher
D.A. Sanborn, C.E.
RelatedItem
(type = host)
TitleInfo
Title
Trentoniana Historic Map Collection
Identifier
(type = local)
rucore00000002072
Location
PhysicalLocation
(authority = marcorg);
(displayLabel = Trenton Free Public Library)
NjT
Identifier
(type = doi)
doi:10.7282/T3K35TJD
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Rights
RightsDeclaration
(AUTHORITY = NJDH);
(ID = rulibRdec0001)
This resource may be copyright protected. You may make use of this resource, with proper attribution, for educational and other non-commercial uses only. Contact the contributing organization to obtain permission for reproduction, publication, and commercial use.
Copyright
Status
Public domain
Availability
Status
Open
Reason
Copyright expired
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Technical
ContentModel
Map
MimeType
(TYPE = file)
image/tiff
MimeType
(TYPE = container)
application/x-tar
FileSize
(UNIT = bytes)
56197120
Checksum
(METHOD = SHA1)
28fef2986617cf563869cee45d19f65965aa0b32
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Statistical Profile