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David Weisburd ,
Clair V. Uding ,
Beidi Dong  and
Kiseong Kuen
David Weisburd
Affiliation:
George Mason University, Virginia
Clair V. Uding
Affiliation:
University of Wyoming
Beidi Dong
Affiliation:
George Mason University
Kiseong Kuen
Affiliation:
Griffith University, Queensland

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Type
Chapter
Information
Hot Spots of Crime
Social Structure and Social Context at the Micro Geographic Level
 , pp. vii - viii
Publisher: Cambridge University Press
Print publication year: 2026
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC 4.0 https://creativecommons.org/cclicenses/

Figures

  1. 1.1Robbery rate for Baltimore compared to national rate, 2000–2017

  2. 1.2Violent crime rate for Baltimore compared to national rate, 2000–2017

  3. 1.3Property crime rate for Baltimore compared to national rate, 2000–2017

  4. 1.4Homicide rate for Baltimore compared to national rate, 2000–2017

  5. 1.5Map of Baltimore City, Maryland

  6. 1.6Visual of street segment

  7. 1.7Map of sample street segments by crime hot spot type in Baltimore City, Maryland

  8. 3.1Map of sample street segments by crime type within types of communities by concentrated disadvantage

  9. 3.2Map of four CSAs at different disadvantage levels with hot spots and non–hot spots

  10. 3.3Map of Southwest Baltimore (high disadvantage community)

  11. 3.4Map of Belair-Edison (middle disadvantage community)

  12. 3.5Map of Highlandtown (low disadvantage community)

  13. 3.6Map of Greater Charles Village/Barclay (low disadvantage community)

  14. 3.7Concentrated disadvantage in hot spots and non–hot spots across different types of communities

  15. 3.8Residential stability in hot spots and non–hot spots across different types of communities

  16. 3.9Collective efficacy in hot spots and non–hot spots across different types of communities

  17. 3.10Observed social disorder in hot spots and non–hot spots across different types of communities (wave 1 only)

  18. 3.11Perceived social disorder in hot spots and non–hot spots across different types of communities

  19. 3.12Observed structural physical disorder in hot spots and non–hot spots across different types of communities

  20. 3.13Observed sidewalk physical disorder in hot spots and non–hot spots across different types of communities

  21. 3.14Perceived physical disorder in hot spots and non–hot spots across different types of communities

  22. 3.15Fear of crime in hot spots and non–hot spots across different types of communities

  23. 3.16Comparison of concentrated disadvantage at crime hot spots across different types of communities

  24. 3.17Comparison of residential stability at crime hot spots across different types of communities

  25. 3.18Comparison of collective efficacy at crime hot spots across different types of communities

  26. 3.19Comparison of observed social disorder at crime hot spots across different types of communities

  27. 3.20Comparison of perceived social disorder at crime hot spots across different types of communities

  28. 3.21Comparison of observed structural physical disorder at crime hot spots across different types of communities

  29. 3.22Comparison of observed sidewalk physical disorder at crime hot spots across different types of communities

  30. 3.23Comparison of perceived physical disorder at crime hot spots across different types of communities

  31. 3.24Comparison of fear of crime at crime hot spots across different types of communities

  32. A7.1Graphical assessment of balance (wave 1 crime hot spots vs. cold spots)

  33. A7.2Graphical assessment of balance (wave 2 crime hot spots vs. cold spots)

  34. A7.3Graphical assessment of balance (wave 3 crime hot spots vs. cold spots)

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