Commercial burglary poses a significant threat to economic stability and public safety in Mexico, impacting businesses of all sizes, particularly micro-businesses. This article explores the development of police strategies aimed at preventing commercial burglary by leveraging publicly available data. Drawing upon theories of environmental criminology, routine activity, and social disorganization, we identify key socioeconomic and environmental factors that contribute to the spatial patterns of commercial burglary. Through a methodological approach involving spatial analysis and composite index construction, we identify areas of heightened vulnerability to this crime. The findings highlight the importance of data-driven, localized interventions to enhance police effectiveness and ultimately reduce victimization. This research provides a framework for Mexican law enforcement agencies to implement proactive, intelligence-led policing models to safeguard commercial establishments.

Proactive policing, commercial burglary prevention, public data analytics, crime prevention strategies, law enforcement, Mexico, data-driven policing

1. Alvarado Lagunas, Elías, Danae Duana Ávila, and Karina Valencia Sandoval. 2021. Determinantes del gasto en seguridad como una forma de competitividad por micronegocio debido a la delincuencia. Un caso de estudio para el área metropolitana de Monterrey. Economía: Teoría y Práctica 55: 127–48.

2. Alvarado Lagunas, Elías, Dionicio Morales Ramírez, and Jeyle Ortiz Rodríguez. 2020. Determinantes de la probabilidad de robo a micronegocios en el área metropolitana de Monterrey. Revista de economía 37: 57–80.

3. Andresen, Martin A. 2011. Estimating the probability of local crime clusters: The impact of immediate spatial neighbors. Journal of Criminal Justice 39: 394–404.

4. Anselin, Luc, Jacqueline Cohen, David Cook, Wilpen Gorr, and George Tita. 2000. Spatial Analyses of Crime. Criminal Justice 4: 213–62. Available online: https://www.ojp.gov/criminal_justice2000/vol_4/04e.pdf (accessed on 3 February 2025).

5. Anselin, Luc. 1995. Local Indicators of Spatial Association LISA. Geographical Analysis 27: 93–115.

6. Ávila, María Elena, Belén Martínez-Ferrer, Alejandro Vera, Alejandro Bahena, and Gonzalo Musitu. 2016. Victimization, perception of insecurity, and changes in daily routines in Mexico. Revista de Saúde Pública 50.

7. Becker, Gary. 1968. Crime and Punishment: An Economic Approach. Journal of Political Economy 76: 169–217. Available online: https://www.jstor.org/stable/1830482 (accessed on 27 February 2025).

8. Brantingham, Patricia L., and Paul J. Brantingham. 1993. Nodes, Paths and Edges: Considerations on the Complexity of Crime and the Physical Environment. Journal of Environmental Psychology 13: 3–28.

9. Brantingham, Paul J., and Patricia L. Brantingham. 1981. Environmental Criminology. Beverly Hills: Sage Publications.

10. Buonanno, Paolo. 2003. The Socioeconomic Determinants of Crime. A Review of the Literature. Working Papers University of Milano-Bicocca Department of Economics, No. 63. Available online: https://EconPapers.repec.org/RePEc:mib:wpaper:63 (accessed on 12 February 2025).

11. Busso, Gustavo. 2001. Vulnerabilidad social: Nociones e implicancias de políticas para Latinoamérica a inicios del siglo XXI. Seminario Internacional Las diferentes expresiones de la vulnerabilidad social en América Latina y el Caribe. Santiago de Chile, CEPAL y CELADE División de Población. Available online: http://www.derechoshumanos.unlp.edu.ar/assets/files/documentos/vulnerabilidad-social-nociones-e-implicancias-de-politicas-para-latinoamerica-a-inicios-del-siglo-xxi.pdf (accessed on 6 March 2025).

12. Butt, Umair Muneer, Sukumar Letchmunan, Fadratul Hafinaz Hassan, Mubashir Ali, Anees Baquir, and Hafiz Husnain Raza Sherazi. 2020. Spatio-Temporal Crime HotSpot Detection and Prediction: A Systematic Literature Review. IEEE Access 8: 166553–166574.

13. Calderon, Laura Y., Kimberly Heinle, Rita E. Kuckertz, Octavio Rodríguez Ferreira, and David A. Shirk, eds. 2021. Organized Crime and Violence in Mexico: 2021 Special Report. Justice in Mexico. San Diego: University of San Diego.

14. Calderón-Figueroa, Fernando A., Daniel Silver, and Olimpia Bidian. 2022. The Dilemmas of Spatializing Social Issues. Socius 8.

15. Chainey, Spenser. 2021. Understanding Crime: Analyzing the Geography of Crime. Redlands: Esri Press.

16. Chardon, Anne. 2008. Amenaza, Vulnerabilidad y Sociedades Urbanas una Visión Desde la Dimensión Institucional. Universidad Nacional de Colombia Revistas electrónicas UN. Gestión y Ambiente. Available online: https://repositorio.unal.edu.co/handle/unal/28174 (accessed on 18 March 2025).

17. Chatfield, Christopher, and Alexander J. Collins. 1980. Principal component analysis. In Introduction to Multivariate Analysis. Boston: Springer, pp. 57–81.

18. Clarke, Ronald. 1995. Situational Crime Prevention. In Building a Safer Society: Strategic Approaches to Crime Prevention. Edited by Michael Tonry and David Farrington. Chicago: University of Chicago Press, pp. 91–150.

19. Cohen, Lawrence E., and Marcus Felson. 1979. Social Change and Crime Rate Trends: A Routine Activity Approach. American Sociological Review 44: 588–608.

20. Consejo Nacional de Población. 2021. Índices de Marginación 2020. Available online: https://www.gob.mx/conapo/documentos/indices-de-marginacion-2020-284372 (accessed on 13 March 2025).

21. ESRI Inc. 2015. ArcMap para Windows (versión 10.4.1). Software. Redlands: ESRI Inc.

22. Fotheringham, A. Stewart, and Mehak Sachdeva. 2022. On the importance of thinking locally for statistics and society. Spatial Statistics 50: 100601.

23. Freeman, Richard B. 1999. The Economics of Crime. In Handbook of Labor Economics. Amsterdam: Elsevier, vol. 3C, pp. 3529–71.

24. González, Lilia. 2024. Robo a negocio ha crecido 11% en el actual sexenio: Coparmex. El Economista. Available online: https://www.eleconomista.com.mx/empresas/Indice-de-robos-con-violencia-a-negocio-se-incrementa-11.3-en-el-sexenio-de-AMLO-Coparmex-20240307-0062.html (accessed on 7 March 2025).

25. Greco, Salvadore, Alessio Ishizaka, Menelaos Tasiou, and Gianpiero Torrisi. 2018. On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness. Social Indicators Research 141: 61–94.

26. IBM Corp. 2013. IBM SPSS Statistics para Windows (versión 21.0). Software. Armonk: IBM Corp.

27. Instituto Nacional de Estadística y Geografía. 2021. Censo Población y Vivienda 2020. Available online: https://www.inegi.org.mx/programas/ccpv/2020/ (accessed on 19 February 2025).

28. Instituto Nacional de Estadística y Geografía. 2022. Producto Interno Bruto por Entidad Federativa (PIBE). Available online: https://www.inegi.org.mx/programas/pibent/2018/ (accessed on 10 February 2025).

29. Instituto Nacional de Estadística y Geografía. 2024a. Directorio Estadístico Nacional de Unidades Económicas DENUE. Available online: https://www.inegi.org.mx/temas/directorio/#Informacion_general (accessed on 19 February 2025).

30. Instituto Nacional de Estadística y Geografía. 2024b. Encuesta Nacional de Victimización de Empresas (ENVE) 2024. Available online: https://www.inegi.org.mx/programas/enve/2024/ (accessed on 19 February 2025).

31. Instituto Nacional de Estadística y Geografía. 2024c. Encuesta Nacional de Victimización y Percepción sobre Seguridad Pública (ENVIPE) 2024. Available online: https://www.inegi.org.mx/programas/envipe/2024/ (accessed on 19 February 2025).

32. Jiménez-García, Williams, Liliana Manzano Chávez, and Alejandra Mohor Bellalta. 2021. Medición de la vulnerabilidad social: Propuesta de un índice para el estudio de barrios vulnerables a la violencia en América Latina. Santiago: Universidad de Chile. Available online: https://repositorio.uchile.cl/handle/2250/182725 (accessed on 28 February 2025).

33. Jolliffe, Ian. 2005. Principal Component Analysis. In Encyclopedia of Statistics in Behavioral Science. Edited by Brian. S. Everitt and David C. Howell. Hoboken: Wiley.

34. Jurado Flores, Víctor Daniel, Ulises Víctor Jesús Genis Cuevas, and Erika Morales. 2023. Car Theft in Reynosa: Spatial Analysis from the Theory of Routine Activities and Crime Pattern. Frontera Norte 35.

35. Kinney, J. Bryan, Patricia L. Brantingham, Kathryn Wuschke, Michael G. Kirk, and Paul J. Brantingham. 2008. Crime attractors, generators and detractors: Land use and urban crime opportunities. Built Environment 34: 62–74.

36. Knox, Dean, Christopher Lucas, and Wendy K. Tam Cho. 2022. Testing Causal Theories with Learned Proxies. Annual Review of Political Science 25: 419–41.

37. LeSage, James P., and R. Kelley Pace. 2014. The Biggest Myth in Spatial Econometrics. Econometrics 2: 217–49.

38. Libório, Matheus Pereira, Petr Ekel, Marcos Flávio Silveira Vasconcelos D’Angelo, Luis Martínez, and Hamid Rabiei. 2025. Constructing Composite Indicators Through Extreme Values Reductions-Ordered Weighted Averaging: Human Development Index. IEEE Access 13: 48306–17.

39. Macdonald, John, Viet Nguyen, Shane T. Jensen, and Charles C. Branas. 2021. Reducing Crime by Remediating Vacant Lots: The Moderating Effect of Nearby Land Uses. Journal of Experimental Criminology 18: 639–64.

40. Machin, Stephen, Olivier Marle, and Sunčica Vujić. 2011. The crime reducing effect of education. The Economic Journal 121: 463–84. Available online: http://www.jstor.org/stable/41236987 (accessed on 18 March 2025).

41. Maćkiewicz, Andrzej, and Waldemar Ratajczak. 1993. Principal components analysis PCA. Computers & Geosciences 19: 303–42.

42. Martínez, Oscar A., and Anidelys Rodríguez-Brito. 2020. Vulnerability in health and social capital: A qualitative analysis by levels of marginalization in Mexico. International Journal for Equity in Health 19: 24.

43. Martínez Herrera, Luis Adolfo, Williams Gilberto Jiménez García, José Vicente Tavares-dos-Santos, Bárbara Pincowsca Cardoso Campos, Isabel Penido de Campos Machado, Ricardo León Cruz Baena, Ana Lucía Arango Arias, John James Gómez Gallego, Érika María Bedoya Hernández, Melissa Hernández Salgado, and et al. 2020. Sociedad, Crimen y Violencias: Debates Disciplinares. Pereira: Universidad Católica de Pereira.

44. Moreno-Jaramillo, Cecilia, and Ana Múnera Brand. 2000. Riesgos y vulnerabilidad: Un enfoque de actuación en lo urbano. Medellín: Universidad Nacional de Colombia, Sede Medellín, Facultad de Arquitectura, Escuela de Hábitat, Centro de Estudios del Hábitat Popular (CEHAP). Available online: https://repositorio.unal.edu.co/handle/unal/70055 (accessed on 14 February 2025).

45. Motta, Victor. 2016. The impact of crime on the performance of small and medium-sized enterprises: Evidence from the service and hospitality sectors in Latin America. Tourism Economics 23: 993–1010.

46. Mugellini, Giulia. 2013. Crime against the private sector in Latin America. Revista Internacional de Estadística y Geografía 4: 18–39. Available online: https://rde.inegi.org.mx/RDE_09/Doctos/RDE_09_Art2.pdf (accessed on 20 March 2025).

47. Observatorio de Seguridad y Justicia. 2023. Reporte Sobre Incidencia Delictiva Estatal Enero 2023. Consejo Nuevo León para la Planeación Estratégica. Available online: https://conl-mx.s3.amazonaws.com/observatory_documents/observatory_document_files/000/000/074/original/REPORTE-A-estatal_%28Ene%29.pdf?1677082694 (accessed on 3 February 2025).

48. Ord, J. Keith, and Arthur Getis. 1995. Local Spatial Autocorrelation Statistics: Distributional Issues and an Application. Geographical Analysis 27: 286–306.

49. Pabayo, Roman, Erin Grinshteyn, Oliva Avila, Deborah Azrael, and Beth E. Molnar. 2020. Relation between neighborhood socio-economic characteristics and social cohesion, social control, and collective efficacy: Findings from the Boston Neighborhood Study. SSM Population Health 10: 100552.

50. Perez-Vincent, Santiago M., David Puebla, Nathalie Alvarado, Luis Fernando Mejía, Ximena Cadena, Sebastián Higuera, and José David Niño. 2024. Los costos del crimen y la violencia: Ampliación y actualización de las estimaciones para América Latina y el Caribe. Washington, DC: Inter-American Development Bank.

51. Pérez, Patricia Catalina Medina, Sonia Bass Zavala, and César Mario Fuentes Flores. 2019. La Vulnerabilidad Social En Ciudad Juárez, Chihuahua, México. Herramientas Para El diseño De Una política Social. Revista INVI 34: 197–223. Available online: https://revistainvi.uchile.cl/index.php/INVI/article/view/63088 (accessed on 21 March 2025).

52. Racic, Ilija, and Sinisa Dostic. 2024. The challenges of defining the term “Intelligence-led Policing Model” in the scientific literature. Journal of Criminology and Criminal Law 62: 53–62.

53. Rodríguez, Javier, Carmen Rodríguez, and Eduardo Rosas. 2024. Influence of ICT and Household Assets in the Penetration of Digital Economy in Mexico: An Empirical Analysis. Journal of Telecommunications and the Digital Economy 12: 278–304.

54. Sampson, Robert J., Stephen W. Raudenbush, and Felton Earls. 1997. Neighborhoods and violent crime: A multilevel study of collective efficacy. Science 277: 918–24.

55. Secretaría de Movilidad y Planeación Urbana. 2022. Términos de referencia para la elaboración del Programa de Ordenación de la Zona Metropolitana de Monterrey 2050. Gobierno de Nuevo León. Available online: https://subasta.nl.gob.mx/docs/2_1063.pdf (accessed on 10 February 2025).

56. Shaw, Clifford R., and Henry D. McKay. 1942. Juvenile Delinquency and Urban Areas. Chicago: University of Chicago Press.

57. Silverman, Bernard. 1986. Density Estimation for Statistics and Data Analysis. London: Chapman & Hall.

58. Stacy, Cristina Plerhoples, Helen Ho, and Rolf Pendall. 2017. Neighborhood-level economic activity and crime. Journal of Urban Affairs 39: 225–40.

59. Valderrey, Francisco, Lina Carreño, Simone Lucatello, and Emanuele Giorgi. 2023. Multidisciplinary Evaluation of Vulnerabilities: Communities in Northern Mexico. Sustainability 15: 13077.

60. Van Dijk, Jan. 1994. Understanding Crime Rates: On the Interactions between the Rational Choices of Victims and Offenders. The British Journal of Criminology 34: 105–21.

61. Vázquez González, Carlos, and Carles Soto Urpina. 2013. El análisis geográfico del delito y los mapas de la delincuencia. Revista de Derecho Penal y Criminología 3: 419–48.

62. Vilalta, Carlos, and Gustavo Fondevila. 2021. Testing Routine Activity Theory in Mexico. The British Journal of Criminology 61: 754–72.

63. Vilalta, Carlos, and Robert Muggah. 2016. What Explains Criminal Violence in Mexico City? A Test of Two Theories of Crime. Stability: International Journal of Security and Development 5: 1.

64. Wang, Zengli, Lin Liu, Hanlin Zhou, and Minxuan Lan. 2019. How Is the Confidentiality of Crime Locations Affected by Parameters in Kernel Density Estimation? ISPRS International Journal of Geo-Information 8: 544.

65. Williams, Brett, Ted Brown, and Andrys Onsman. 2010. Exploratory Factor Analysis: A Five-Step Guide for Novices. Australasian Journal of Paramedicine 8: 1–13.