Find related topics. | Discover entities. | See connections. | Build a topical map.
Kenosha, Wisconsin: History, Geography, Community & Culture
Kenosha (/kəˈnoʊʃə/ ⓘ) is a city in Kenosha County, Wisconsin, United States, and its county seat. Located on the southwestern shore of Lake Michigan, it is the fourth-most populous city in Wisconsin, with 99,986 residents at the 2020 census. The Kenosha metropolitan statistical area, consisting solely of Kenosha County, has roughly 169,000 residents.…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Kenosha, Wisconsin topic overview
The analysis highlights History, Geography, Community and Culture as prominent areas in the source structure around Kenosha, Wisconsin.
Related topics
254
Source areas
13
Connected nodes
267
Extracted relationships
37
Related term clusters
67
Bridge connections
267
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
History · 63 topics
Arts and culture · 32 topics
Infrastructure · 25 topics
Economy · 21 topics
Media · 19 topics
Demographics · 17 topics
Overview · 15 topics
Education · 13 topics
Geography · 13 topics
Sports · 13 topics
Government · 11 topics
Parks and recreation · 8 topics
Sister cities · 4 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Area code
262
Country
United States
County
Kenosha
Demonym
Kenoshan
Elevation
604 ft (184 m)
FIPS code
55-39225
Start with your topic. Discover where to go next.
Explore different angles and find fresh ideas to shape your next piece of content.
Kenosha, Wisconsin
9Kenosha County, Wisconsin · County seat · Lake Michigan
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
You can skip this section if you’re here for content ideas and keyword inspiration.
Advanced semantic analysis
How Kenosha, Wisconsin connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Kenosha, Wisconsin shows recurring relationship patterns in the source. For example, Kenosha, Wisconsin → 28.45 sq mi (73.69 km2), 99,986 Another extracted example is Kenosha, Wisconsin → 262. Use these groups to spot repeated connection types before inspecting the individual relationships.
Kenosha, Wisconsin
Top relations
• City· 2
Kenosha, Wisconsin → 28.45 sq mi (73.69 km2), 99,986
Area code· 1
Kenosha, Wisconsin → 262
Country· 1
Kenosha, Wisconsin → United States
County· 1
Kenosha, Wisconsin → Kenosha
Demonym· 1
Kenosha, Wisconsin → Kenoshan
Elevation· 1
Kenosha, Wisconsin → 604 ft (184 m)
FIPS code· 1
Kenosha, Wisconsin → 55-39225
GNIS feature ID· 1
Kenosha, Wisconsin → 1567416
Incorporated (city of Kenosha)· 1
Kenosha, Wisconsin → February 8, 1850; 176 years ago (1850-02-08)
Incorporated (village of Southport)· 1
Kenosha, Wisconsin → February 9, 1841
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 37 structured relationships around Kenosha, Wisconsin. Examples in this analysis include Kenosha, Wisconsin → Area code → 262 and Kenosha, Wisconsin → Country → United States. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Kenosha, Wisconsin
Area code
262
1.00
infobox
Kenosha, Wisconsin
Country
United States
1.00
infobox
Kenosha, Wisconsin
County
Kenosha
1.00
infobox
Kenosha, Wisconsin
Demonym
Kenoshan
1.00
infobox
Kenosha, Wisconsin
Elevation
604 ft (184 m)
1.00
infobox
Kenosha, Wisconsin
FIPS code
55-39225
1.00
infobox
Kenosha, Wisconsin
GNIS feature ID
1567416
1.00
infobox
Kenosha, Wisconsin
Incorporated (city of Kenosha)
February 8, 1850; 176 years ago (1850-02-08)
1.00
infobox
Kenosha, Wisconsin
Incorporated (village of Southport)
February 9, 1841
1.00
infobox
Kenosha, Wisconsin
Settled (Pike Creek)
1835
1.00
infobox
Kenosha, Wisconsin
State
Wisconsin
1.00
infobox
Kenosha, Wisconsin
Time zone
UTC−6 (CST)
1.00
infobox
Kenosha, Wisconsin
Website
www.kenosha.org
1.00
infobox
Kenosha, Wisconsin
ZIP Codes
53140–53144
1.00
infobox
Kenosha, Wisconsin
• City
28.45 sq mi (73.69 km2)
1.00
infobox
Kenosha, Wisconsin
• City
99,986
1.00
infobox
Kenosha, Wisconsin
• City Admin.
John Morrissey
1.00
infobox
Kenosha, Wisconsin
• Density
3,523.6/sq mi (1,360.46/km2)
1.00
infobox
Kenosha, Wisconsin
• Land
28.36 sq mi (73.46 km2)
1.00
infobox
Kenosha, Wisconsin
• Mayor
David F. Bogdala
1.00
infobox
Kenosha, Wisconsin
• Metro
169,151 (US: 264th)
1.00
infobox
Kenosha, Wisconsin
• Rank
4th in Wisconsin
1.00
infobox
Kenosha, Wisconsin
• Summer (DST)
UTC−5 (CDT)
1.00
infobox
Kenosha, Wisconsin
• Type
Municipality
1.00
infobox
Kenosha, Wisconsin
• Urban
125,865 (US: 265th)
1.00
infobox
Kenosha, Wisconsin
• Water
0.089 sq mi (0.23 km2)
1.00
infobox
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Kenosha, Wisconsin bring nearby vocabulary together. In this analysis, examples include Downtown, Home and City. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Kenosha, Wisconsin
Downtown
Home
City
Public
Kenosha
Wisconsin
Center
Census
Since
Also
County
System
kenosha, wisconsin
Pike
Downtown
United
Including
States
Home
Center
Located
City
Public
Also
Kenosha
kenosha county, wisconsin
Pike
Downtown
United
Including
States
Home
Center
Located
City
Public
Also
Kenosha
satellite city
Kenosha
Census
Wisconsin
Downtown
American
Km2
United
States
County
North
Also
Streetcar
university of wisconsin–parkside
Pike
United
Including
States
Home
Center
Located
City
Public
Also
Kenosha
Census
kenosha public museum
Public
Streetcar
System
Downtown
Home
Wisconsin
Opened
Center
Also
Kenosha's
Since
Chicago
wisconsin glaciation
Pike
United
Including
States
Home
Center
Located
City
Public
Also
Kenosha
Census
united states census bureau
States
United
Census
Pike
Residents
Km2
Wisconsin
American
City
Also
Area
Downtown
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Kenosha, Wisconsin, one of the stronger structural bridges in this analysis connects Kenosha, Wisconsin with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Kenosha, Wisconsin
Nodes268
Edges267
Triples37
Avg. degree1.99
Density0.007463
Components1
Source & methodology
TTTA analyzes the structure around Kenosha, Wisconsin to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography, Community & Culture, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
