Assessment of Illegal Immigrants on the National Security:

Abstract

This study sought to find out relationship between illegal migrant and notable threats to the national security. The specific objectives of the study were to examine the trends of illegal immigrants in Tanzania, to determine the relationship between illegal immigrants and notable threats to the national security and to forecast the presence of illegal immigrants in for the five years ahead. The study was guided by rational choice theory whereas the study used quantitative research approach whereas the study used secondary data from immigration reports. Data were analysed using regression analysis. The study found that the analysis demonstrated a statistically significant positive correlation between the number of illegal immigrants and notable threats to national security. This finding underscores the need for comprehensive strategies to manage and mitigate potential security risks associated with illegal immigration. Furthermore, the study employed descriptive statistics which included frequencies, percentages, and means, while inferential statistics included Pearson's correlation and multiple regression analysis. The results of the forecast suggest a continuous and incremental increase in illegal immigration over this period, culminating in a projected total of 31,903 illegal immigrants by the end of 2028. This projection highlights the persistence of the issue and the necessity for proactive policy measures. The study recommended that the Tanzanian government should prioritize strengthening border security measures to curb the influx of illegal immigrants. This includes bolstering surveillance, investing in modern border control technologies, and increasing law enforcement presence in high-risk areas. Policymakers should consider reviewing and reforming immigration policies and regulations to address the challenges posed by illegal immigration. A comprehensive and adaptable policy framework is needed to respond effectively to changing dynamics.