1. Introduction
Migration refers to the movement of people across or within national borders, encompassing all population movements regardless of size, cause, or composition. This includes economic migrants, displaced people, and asylum seekers (
IOM 2020). Migrants are those who leave their place of origin temporarily or permanently to settle in another community or country (
IOM 2019). These movements are often motivated by the pursuit of employment, improved living conditions, family reunification, or political instability in the country of origin (
Aruj 2008). Many individuals undertake irregular migration routes when they are unable to access legal pathways for entry or residence in destination countries (
Canales Cerón et al. 2019).
As of 2020, an estimated 281 million people were living outside their country of birth, accounting for approximately 3.6 percent of the global population (
McAuliffe and Triandafyllidou 2022). This growth does not occur in isolation, but rather reflects ongoing disruptions in labor markets, state capacity, and regional security, which collectively narrow domestic livelihood options. In Latin America, particularly Central America, migration has intensified since the 1980s, driven largely by poverty, inequality, and political violence (
Cecchini and Martínez Pizarro 2023). These conditions push people toward mobility not only because of material need, but because long-term instability reduces the predictability required to plan a viable future at home. These migratory flows reflect more profound structural transformations rooted in the region’s historical experience with colonization, dependency, and uneven development (
Apablaza Riquelme 2010). In practice, colonial histories produced unequal access to land, wages, and political voice, patterns that continue to shape livelihood opportunities in the region today (
Hunter 2024;
Frankema 2010). These inherited inequalities influence who can build a stable life locally and who becomes more vulnerable to displacement. When economic exclusion persists across generations, migration emerges not only as a response to current hardship but also as a long-term strategy for navigating structural constraints. From this perspective, contemporary mobility reflects both historical processes and present conditions rather than a temporary fluctuation in flows. Transit migration is therefore not simply movement between origin and destination, but a distinct condition shaped by uncertainty, institutional gaps, and rapid decision making (
Brunarska and Ivlevs 2023;
Zorlu and Van Gent 2023).
According to United Nations estimates, by 2015, there were approximately 31.1 million Latin American migrants living in the United States, representing about 5 percent of the total U.S. population (
Canales Cerón et al. 2019). In many Latin American countries, repeated implementation of political and economic models that have deepened social inequality and excluded large sectors of the population from development opportunities has contributed to widespread social deterioration (
Aruj 2008). Migration between Latin America and the United States is shaped by a complex interplay of political instability, economic exclusion, and social vulnerability, with both immediate and long-term consequences (
Massey et al. 1993;
Suárez 2008;
Castles et al. 2014).
The number of Honduran migrants in the United States has increased dramatically, rising from 39,000 in 1980 to approximately 1.2 million by 2019, which represents a 3000 percent increase over four decades (
Perdomo et al. 2020). Between 2018 and 2019, it was estimated that approximately 300 Hondurans migrated each day, while an average of 256 were deported daily, primarily from Mexico and the United States (
Perdomo et al. 2020). Currently, one in every nine Hondurans lives abroad, and more than 40 percent of the population expresses a desire or intention to emigrate. This growing migratory trend reflects the interaction of long-term structural inequality with more immediate pressures, rather than a combination of isolated causes. Chronic unemployment, poverty, inequality, and limited institutional capacity constrain livelihood stability and narrow future opportunities, while corruption and political crises heighten uncertainty and reduce access to protection (
Sosa 2021). Migration produces both challenges and opportunities. It can strain social systems and labor markets in origin and destination countries, but it also provides critical remittances that support families and contribute to local economies (
Suárez 2008).
Migrants in transit often face serious risks and vulnerabilities that threaten their physical safety, health, and lives, particularly in contexts where policies for their protection are weak or absent (
Canales Cerón et al. 2019). Given the evolving and complex nature of contemporary migration, research plays a critical role in uncovering patterns, motivations, and broader impacts. To be effective, such research must integrate demographic, educational, health, and economic dimensions to offer a more comprehensive understanding of migratory processes (
Cecchini and Martínez Pizarro 2023;
Galeano 2011). However, there is still limited research that centers on the lived experiences and decision-making processes of migrants in transit through Central America (
Lamiño Jaramillo et al. 2022).
Migration has both positive and negative impacts on individuals and societies. On the one hand, it can lead to the loss of cultural identity and separation from loved ones due to distance or language barriers (
Bhugra and Becker 2005). On the other hand, it often arises from structural conditions that hinder national development, such as poverty, unemployment, or weak institutions (
Rodríguez Martínez 2000). Human mobility is not a new phenomenon. It has been shaped historically by demographic, economic, environmental, and sociopolitical forces, including war, colonization, and state formation (
Zahra 2021).
While economic and political crises often act as catalysts for migration, social networks and family ties frequently enable and sustain migratory flows (
Suárez 2008).
This study aims to fill critical research gaps by examining the perspectives of transit migrants at Casa del Migrante San José in Ocotepeque, Honduras, particularly regarding the motivations behind their decision to leave their countries of origin. Using a mixed-methods convergent approach, the research integrates quantitative and qualitative data to explore the primary drivers of emigration during 2021 and 2022. It focuses on identifying the social, economic, and political conditions that shape migration decisions, as well as the demographic characteristics of those on the move. This research is especially relevant as Honduras continues to experience high levels of emigration, which is part of a broader regional trend across Latin America, underscoring the need for informed policies and interventions that address root causes and support vulnerable populations (
Lamiño Jaramillo et al. 2022).
Theoretical Framework
This study is grounded in the Push-Pull Plus (PPP) theory of migration, which expands on the classical push-pull model by offering a more nuanced understanding of how people make migration decisions. Initially developed by Ravenstein in the late nineteenth century and later refined by
Lee (
1966), the traditional push-pull framework primarily focuses on economic differences between the origin and destination. While this model has provided a helpful starting point, it has been widely criticized for being overly simplistic and economistic in nature. The PPP framework addresses these limitations by integrating a broader set of drivers and dimensions that better reflect the complexity of migration processes (
Van Hear 1998;
Van Hear et al. 2018).
The structure of these functional drivers and dimensions is visually represented in
Figure 1, which illustrates the relationships between predisposing, proximate, precipitating, and mediating factors, as well as the five analytical dimensions that influence how these forces manifest in specific contexts. This conceptual framework, adapted from
Lamiño Jaramillo et al. (
2022), helps clarify how a constellation of structural conditions and individual circumstances shapes migration decisions.
The PPP theory identifies four types of functional drivers that interact dynamically to influence migration decisions (
Van Hear et al. 2018). These factors form dynamic constellations that shape migration flows. Predisposing drivers refer to background conditions such as chronic poverty, weak institutions, or structural inequality, which make migration a viable or even necessary option for certain populations. Proximate drivers emerge when these conditions deteriorate to the point of being intolerable, prompting individuals or families to consider leaving. Precipitating drivers are immediate events or crises, such as natural disasters, political crackdowns, or sudden changes in law or policy, that act as catalysts for action. Mediating drivers encompass the resources, infrastructure, and social networks that either facilitate or hinder migration. These include access to transportation, communication technologies, financial means, and information about possible destinations (
Van Hear 1998;
Van Hear et al. 2018).
In addition to these four categories, the PPP framework introduces five analytical dimensions that shape how migration drivers operate in specific contexts. Locality refers to the influence of both origin and destination environments on migratory choices. Scale includes both geographic scales, such as local, national, or international, and social scales, including individuals, households, and communities. Selectivity highlights how demographic characteristics such as gender, age, ethnicity, or legal status affect migratory trajectories. Duration addresses the timeframe over which migration decisions are made, whether rapidly in response to acute danger or more gradually due to long-term decline. Tractability refers to the extent to which migration is culturally normalized or institutionally supported, such that it becomes a recognized and recurring strategy within a given society (
Van Hear et al. 2018).
The Push-Pull Plus framework is especially relevant for examining contemporary migration flows in Central America, where long-term structural vulnerabilities intersect with acute socio-political pressures. Conditions such as entrenched poverty, weak governance, and limited access to public services can be understood as predisposing drivers. These are often compounded by proximate factors such as unemployment, rising insecurity, and environmental stress. Political instability and shifting migration policies in destination countries may act as precipitating events. Mediating factors, including access to transportation, financial support networks, and communication technologies, influence whether and how migration occurs. By capturing these layered interactions, the PPP framework offers a flexible yet structured approach for analyzing mobility in contexts characterized by both chronic and acute displacement pressures.
The five dimensions outlined in the PPP framework further enhance their relevance for analyzing migration from regions experiencing chronic instability and complex mobility patterns. The dimension of locality enables consideration of how both origin and destination contexts influence migration aspirations and feasibility. Scale highlights the multi-layered nature of mobility, encompassing individual, household, and community decisions that unfold across national borders. Selectivity highlights how age, gender, and legal status influence who migrates and the manner in which they do so. Duration helps capture variation in how quickly migration decisions are made, whether through rapid displacement or prolonged contemplation. Tractability accounts for how migration becomes socially embedded in specific contexts, where it may be normalized as a pathway to opportunity or survival. These dimensions enable a layered, context-sensitive analysis that bridges the structure and agency in migration studies.
While the PPP framework offers a helpful structure for identifying economic, environmental, and security-related migration drivers, recent scholarship emphasizes that mobility decisions also unfold within broader social systems characterized by unequal access, institutional discrimination, and racialized forms of governance. For example,
Coen-Sánchez (
2021) examines how systemic racism and structural inequities are reproduced across institutional contexts, providing a useful conceptual lens for understanding how access to protection and services may become stratified for people on the move. Relatedly,
Coen-Sánchez et al. (
2022) highlight how policy regimes shape vulnerability and access to essential services, demonstrating how governance systems can deepen precarity for already marginalized groups. Taken together, these perspectives complement the PPP approach by foregrounding how governance structures and unequal institutional environments shape the options, risks, and lived realities of migrants, particularly in transit and reception contexts.
This study draws on the PPP framework to deepen the understanding of how multiple factors interact in shaping migration decisions. Rather than treating push and pull elements as separate or fixed, the PPP approach emphasizes how long-standing conditions—such as poverty or political instability—can interact with more immediate events and available resources in specific contexts. This perspective enables a more comprehensive understanding of migration as a dynamic process shaped by a combination of structural pressures, personal circumstances, and evolving opportunities. The framework is particularly relevant for analyzing transit migration, where decisions are often made under uncertain and rapidly changing conditions.
2. Materials and Methods
This study employed a mixed-methods design to examine the motivations, timing, and contextual factors that shape transit migration through Casa del Migrante San José, Honduras. Quantitative and qualitative components were implemented concurrently and later integrated. The quantitative phase provided demographic and flow characteristics, while the qualitative phase added depth to the narratives of migrant decision-making. The methodological approach was informed by the PPP framework, not as a procedural guide but as an analytic lens for interpreting how long-term conditions (predisposing and proximate drivers) interact with sudden opportunities or restrictions (precipitating drivers) and the support networks that mediate trajectories.
2.1. Design
This study employed a convergent mixed-methods research design, which aims to comprehensively understand phenomena by integrating quantitative and qualitative data within a single study (
Creswell and Creswell 2018). This approach provides a more nuanced representation of complex issues and facilitates stronger inferences by integrating the breadth of survey data with the depth of interviews or observations. The integration of these data sources facilitates a holistic perspective that enhances both description and interpretation. To select participants, the study used convenience sampling, a non-probabilistic and non-random method based on ease of access and availability (
Etikan et al. 2016;
Golzar et al. 2022).
2.2. Study Site
The present study was conducted at Casa del Migrante San José, located in the municipality of Ocotepeque, Honduras. Founded in 2010 with support from the IOM, the center is the only migrant shelter on Honduras’s western border. It provides assistance to international migrants in transit, including children, adolescents, and pregnant women. The IOM contributes food, medicines, equipment, furniture, and specialized training for the shelter’s staff (
IOM 2020).
2.3. Quantitative Phase
Two quantitative data sources were used in this phase. The first consisted of administrative registration records collected by Casa del Migrante San José between 2021 and 2022 for migrants passing through the shelter. It includes variables such as age, sex, nationality, migration status, and stated reasons for migration, and documents 3934 individuals from 24 countries. This dataset served as the baseline for describing migration flows and for contextualizing findings from the survey and interviews.
The second data source was a 20-item structured survey administered verbally to 75 migrants present at the shelter in December 2022. Unlike the administrative registration records, the survey captured variables not previously recorded, including educational level, marital status, intended destination, travel companions, access to communication technology, travel duration, and the presence of relatives abroad. Although administered face-to-face, the instrument remained quantitative in scope, focusing on verification of database records and collection of complementary statistical information.
Descriptive statistical procedures were used to analyze both datasets. Responses were reviewed for completeness, cleaned to address inconsistencies, and summarized using pivot tables to generate frequency distributions and identify patterns across demographic and mobility variables. Findings were visualized through tables and figures, illustrating national origins, monthly flow variation, and reported migration drivers.
2.4. Qualitative Phase
For the qualitative phase, the study employed a phenomenological case study approach to explore the factors influencing migration from the perspective of migrants themselves (
Creswell and Plano Clark 2017;
Manterola and Otzen 2017). Phenomenological methods are particularly valuable in qualitative research because they enable the researcher to capture the depth, richness, and complexity of lived experiences. This approach helps to uncover how individuals perceive and make sense of their migration journeys, thereby enriching the overall understanding of the phenomenon under study (
Braun and Clarke 2006).
Consistent with the oral administration used in the quantitative phase, qualitative data were gathered through individual semi-structured interviews with a subsample of 75 participants drawn from the larger Pastoral database at the shelter in December 2022. These same 75 individuals had also completed the structured survey, allowing integration of quantitative and qualitative responses.
The interview guide comprised seven open-ended questions designed to explore the primary reasons for migration from the perspectives of migrants at Casa del Migrante. In addition to motivations, participants were asked about the major challenges they had faced during their journey, their reasons for traveling at that specific time of year, their occupations in their countries of origin, and the costs associated with the trip. This comprehensive approach facilitated a deeper understanding of the various factors that shape the migration experience.
Open coding is a useful technique in case study research, particularly for organizing and analyzing qualitative data collected through interviews and fieldwork (
Saldaña 2016). Following Saldaña’s recommendations, the interview transcripts were systematically reviewed, along with associated notes and memos recorded before and after each session. Errors were identified and corrected during this review. The data were then divided into meaningful segments, and each transcript was examined line by line. Words and phrases that reflected the core of the participants’ experiences were manually identified and highlighted. From these observations, initial codes were developed. These codes were then grouped into broader categories, resulting in seven primary themes: reasons for migrating, major difficulties encountered during the journey, timing of the decision to migrate, occupations in the country of origin, travel costs, and the sources of funding used for the trip.
Pattern coding was then applied to consolidate the initial codes into broader themes, creating a more coherent and meaningful structure (
Saldaña 2016). During this stage, the preliminary categories were grouped into broader themes, allowing for the identification of connections across data sources and facilitating the organization and interpretation of complex qualitative information (
Saldaña 2016). This approach was essential for making the data more manageable and interpretable in preparation for deeper analysis (
Morse and Richards 2002).
Lincoln and Guba (
1985) proposed four key criteria to establish trustworthiness in qualitative research: credibility, dependability, confirmability, and transferability. Credibility is enhanced through strategies such as prolonged engagement with participants, sustained observation, and triangulation of data sources. Transferability depends on the provision of rich, detailed descriptions that enable readers to determine the applicability of findings to other contexts. Dependability is supported by systematic documentation and the creation of an audit trail that records the research process. Confirmability is achieved through practices such as peer review, participant validation, and reflective journaling, which help ensure that findings are grounded in the data rather than shaped by researcher bias (
Ahmed 2024).
In this study, credibility was established through data triangulation across semi-structured interviews, structured surveys, and administrative registration records, which enabled cross-verification of information and enhanced the internal coherence of the results. Transferability was ensured by providing rich and contextualized descriptions of Casa del Migrante San José, the conditions of transit migration, and the demographic and experiential profiles of participants, allowing readers to assess the applicability of the findings to similar contexts. Dependability was maintained through systematic coding, clear documentation of analytical steps, and adherence to consistent procedures during data cleaning, categorization, and thematic development, ensuring that the process could be replicated. Finally, confirmability was achieved through participant validation and researcher reflexivity, including continuous comparison between data sources and reflective notes, which ensured that interpretations accurately represented participants’ perspectives rather than researchers’ assumptions.
4. Discussion
This study suggests that the PPP framework is analytically useful for understanding contemporary transit migration through Honduras, and the findings are consistent with previous work, such as
de Haas’s (
2021) findings, on the multidimensional nature of migration drivers. Across our data, the four functional drivers—predisposing, proximate, precipitating, and mediating—operate as an interlocking system rather than as discrete, sequential forces. Predisposing conditions such as chronic poverty, weak institutions, and long-standing inequality establish the structural baseline that normalizes mobility as a plausible life strategy (
Massey et al. 1993;
Taylor 2006). Proximate pressures—including inflation, unemployment, and insecurity—then convert latent aspirations into concrete intentions to move (
Czaika and de Haas 2014). The timing of departures is frequently shaped by precipitating events, notably policy shifts in destination countries that temporarily widen or redefine legal pathways (
Menjívar and Abrego 2012). Finally, mediating elements—information flows, social and financial networks, and institutional supports like Casa del Migrante—determine whether intentions can be translated into feasible journeys (
Bakewell 2010).
The empirical record from Casa del Migrante is especially instructive on this timing dimension. Monthly arrivals remained modest until mid-2022, then surged to a peak in October, coinciding with announcements about humanitarian processes for Venezuelans (
IOM 2023). This pattern shows how policy communication can act as a precipitating catalyst, amplifying flows already primed by structural and proximate pressures. The composition further underscores PPP’s selectivity dimension: migrants were mainly young adults (21–40), mostly male, and often single or in consensual unions. Such profiles align with the notion that migration entails risks and costs younger, less encumbered individuals are more likely to assume (
CONAPO 2012).
Educational attainment adds nuance to this selectivity. Most migrants reported incomplete secondary schooling, with smaller shares completing secondary or higher levels (
Peláez et al. 2021). This distribution challenges simplistic binaries that frame migrants as either the “most skilled” or “least skilled.” Instead, it suggests a population with some formal education and demonstrated capability to navigate complex routes and information, but insufficient local opportunity structures to secure stable, dignified livelihoods at home. This reflects a profile of individuals with some formal education who possess enough cultural capital, literacy, and access to information to make international mobility feasible, yet still encounter limited pathways to stable employment or upward mobility in their countries of origin.
Peláez et al. (
2021) note that migrants are not randomly drawn from the general population; rather, they tend to have comparatively higher levels of education than non-migrants, which enables them to access information, respond to opportunities, apply transferable skills, and finance mobility. In PPP terms, this is where predisposing constraints (weak labor markets) intersect with mediating capacities (basic education, digital literacy, networks) to enable movement under uncertainty (
de Haas 2021;
Carling and Talleraas 2016).
Motivationally, the quantitative data are unambiguous: over four-fifths of respondents cited the economic situation as the primary reason for leaving. Yet qualitative narratives complicate this picture in productive ways. Interviewees pointed to sociopolitical degradation (“could no longer endure the violence”), family imperatives (reunification, providing for children), and unplanned or opportunistic departures (“I did not have a plan”). These accounts illuminate how proximate economic hardship was typically articulated in relation to other constraints rather than as a standalone motivation; it is entangled with threats to physical integrity, aspirations for family stability, and the contingent availability of resources and routes. Importantly, the theme of “unplanned travel” is not synonymous with irrationality. As
Bakewell (
2010) argues, even seemingly impulsive moves can be rational adaptations to volatility, where windows of opportunity open and close rapidly and where social ties (e.g., a relative financing a ticket) instantly transform feasibility.
The scale and locality dimensions of PPP also surface clearly. Most pathways are international and multistage, routing through multiple countries before Honduras. At each node, migrants recalibrate plans in light of updated information, enforcement risks, costs, and health constraints. Similar dynamics have been documented by
Schapendonk (
2012) and
Mainwaring and Brigden (
2016), who highlight the iterative and adaptive character of mobility trajectories. This continual recalibration illustrates PPP’s duration dimension: some decisions are incubated over months, others are precipitous, triggered by sudden shocks or perceived openings. Tractability appears high in communities with established migration histories, where moving abroad is culturally legible, institutionally scaffolded by networks, and often seen as a default strategy when local futures narrow (
Van Hear et al. 2018).
The patterns observed, particularly the emphasis on uncertainty, perceived risk, and constrained access to institutional support, suggest that migration decisions are shaped not only by insecurity or economic pressures but also by the institutional environments that migrants navigate. Experiences of uncertainty, perceived risk, and uneven access to protection echo scholarship documenting how systemic inequities and governance structures shape vulnerability (
Coen-Sánchez 2021;
Coen-Sánchez et al. 2022). At the same time, patterns of decision-making, perceived feasibility, and navigational strategies resonate with arguments that migrants draw on different forms of cultural capital when navigating uncertainty and institutional barriers (
Coen-Sánchez 2025).
Methodologically, the convergent mixed-methods design added explanatory power. Cross-sectional counts identified who, when, and how many; interviews revealed why and how decisions were enacted. Together, they show that migration decisions are not solely economic acts but assemblages of structural pressure, sudden triggers, and social mediation, consistent with
de Haas (
2021) and
Van Hear et al. (
2018). For researchers, this argues for designs that can register both temporal spikes (policy-linked surges) and the slower tides of structural change.
Limitations of the Present Study
While the PPP framework provides a useful structure for interpreting these patterns, it does not fully capture all dimensions of transit migration. Decisions made quickly, under pressure, or amid rapidly changing conditions may not align neatly with the sequential logic the framework suggests (
Hagen-Zanker et al. 2023). The approach may also understate the emotional and relational influences, including fear, trust, family expectations, and informal information flows that shaped many of the experiences described in the interviews (
Siviş et al. 2024). These considerations indicate that PPP is a helpful analytical tool, but it does not exhaust the complexity observed in lived decision-making during transit.
As with most field-based migration research, the findings are shaped by the sampling strategy available in the study context. Because participants were recruited through convenience sampling at a single shelter, the experiences described may reflect the specific demographic, logistical, and motivational characteristics of migrants passing through Casa del Migrante rather than the full diversity of transit migration in the region. While the combination of quantitative and qualitative data provides internal consistency and useful patterns, the results should be interpreted as analytically informative rather than statistically generalizable.
This study was not designed to conduct subgroup analysis across gender, age, or nationality, and therefore, the findings should not be interpreted as comparative across demographic groups. While gender was recorded, the analysis focused on overall patterns in motivations rather than systematic differences between categories. However, some interview responses pointed to gendered dynamics in the migration experience, including references by women to heightened vulnerability during transit through certain corridors such as the Darién crossing. Because these accounts relate to experiences during the journey rather than initial motivations, they fall outside the scope of the thematic framework used in this study. Future research with a design oriented toward risk exposure, safety, or protection ecosystems could explore these patterns in greater depth.
An additional limitation concerns the analytical scope of the qualitative component. While the thematic analysis identified recurring dimensions shaping migration decisions, it was not designed to quantify case-level co-occurrence or to model specific combinations of drivers across interviews. Themes were developed as analytically distinct but non-exclusive categories intended to capture patterns of meaning rather than to function as variables for cross-tabulation. For example, experiences of violence were coded as part of broader sociopolitical factors rather than as a standalone theme. A more granular examination of how specific drivers intersect at the individual level would require a dedicated quantitative or mixed-methods design with variables explicitly operationalized for that purpose.
5. Conclusions
This study examined transit migration through Honduras using a convergent mixed-methods approach, integrating 3934 records from the Human Mobility Pastoral database between 2021 and 2022 with semi-structured interviews conducted with 75 migrants at Casa del Migrante San José. The findings reveal a notable increase in flows during 2022, particularly among Venezuelans, with October representing a peak that coincided with U.S. policy announcements regarding humanitarian entry processes. This illustrates how policy shifts can act as precipitating drivers, intensifying flows already primed by structural hardship.
Demographically, most migrants were men between 21 and 40 years old, frequently single or in consensual unions, and with incomplete secondary education. This profile underscores the selectivity dimension of the Push-Pull Plus (PPP) framework, as younger individuals with mid-level education and fewer family obligations are more likely to assume the risks and costs of migration. Economic hardship and unemployment were the most frequently cited motivations, followed by family-related reasons such as reunification, and, to a lesser extent, sociopolitical instability. Qualitative narratives further revealed themes of violence, insecurity, and unplanned or opportunistic departures, highlighting that migration decisions often combine structural constraints with sudden opportunities.
Viewed through the PPP framework, these findings confirm that migration results from the interplay of long-term predisposing pressures (poverty, inequality, weak institutions) with proximate factors (inflation, unemployment, insecurity), while precipitating events—such as policy announcements or crises—trigger departures. Mediating elements, including social networks, financial support, and institutional aid from shelters, determine feasibility. The multidimensional nature of these drivers demonstrates that migration is neither a purely economic decision nor an entirely spontaneous act, but a dynamic process shaped by structural pressures, short-term triggers, and available resources.
Practically, the study highlights the urgent need to expand shelter capacity at Casa del Migrante San José, where overcrowding remains a persistent challenge. Strengthening inter-agency collaboration with local authorities and civil society would improve coordination and service delivery. Innovative communication tools, including audiovisual storytelling, could also raise awareness and humanize migration narratives while safeguarding anonymity.
These findings carry three policy implications. First, policies based solely on deterrence may produce unintended outcomes. While recent policy changes in the United States have coincided with a marked reduction in reported irregular encounters during 2024–2025, the longer-term effects of deterrence-focused approaches remain contested. When legal migration pathways remain limited and the structural and proximate factors that influence migration decisions are unchanged, such measures may shift, delay, or reconfigure mobility rather than produce durable reductions in irregular movement. Whether recent declines reflect a sustained transformation of migration dynamics or a temporary response to heightened enforcement remains an open empirical question with important humanitarian and governance implications.
Second, interventions should be multi-level and sequenced: mitigate predisposing drivers (inequality, labor exclusion, insecurity) while expanding protected, predictable channels that reduce the need for irregular transit. Third, mediating infrastructures matter. Shelters, legal aid, remittance mechanisms, and accurate information can reduce harm, improve decision quality, and lower the transaction costs of regularization where possible. This means designing reception and support systems that not only reduce harm but also provide space, information, and legal pathways that allow migrants to make informed and voluntary decisions about their journeys, rather than being constrained by uncertainty or coercion.
An emerging policy question concerns how reductions in irregular migration should be evaluated when they occur in response to restrictive measures. Future research could examine whether declines associated with such policies reflect a lasting shift in migration dynamics or a temporary response, and how these outcomes should be understood in relation to humanitarian impacts and overall governance goals
Future research could also extend databases to include earlier years and data from other shelters, border crossings, and transit hubs to allow for a broader regional analysis. Improved data collection tools and systematic documentation of migrant experiences would enhance accuracy and provide stronger evidence for policy design. Addressing both humanitarian needs and structural root causes remains essential to ensure responses that are comprehensive, sustainable, and respectful of migrants’ lived realities.