Browsing by Author "Beykzadeh, Ali"
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Item Annexe technique: Maintien des diplômés universitaires au Nouveau-Brunswick Mise à jour des résultats pour la cohorte des diplômés de 2022(2025-05) Beykzadeh, Ali; Jones, Bethany; McDonald, Ted; Miah, PabloEn 2021, l'Institut de recherche, de données et de formation du Nouveau-Brunswick (IRDF-NB) a publié le premier rapport d'une série intitulée « Rétention des diplômés au Nouveau-Brunswick ». Chaque année, nous utilisons les données les plus récentes disponibles pour répondre à une liste de questions de recherche, en soulignant l'évolution des résultats depuis la publication du dernier rapport de la série. Nous posons, par exemple, les questions suivantes : • Combien d'étudiants obtiennent leur diplôme dans les universités publiques du Nouveau-Brunswick, et quel pourcentage d'entre eux restent dans la province au fil du temps ? • En quoi les résultats diffèrent-ils pour les étudiants du Nouveau-Brunswick, les étudiants internationaux et les étudiants d'autres provinces du Canada ? • Les diplômés de certaines filières sont-ils plus susceptibles de rester au Nouveau-Brunswick que les autres ? • Quelle université affiche les taux de rétention des diplômés les plus élevés, et pourquoi ? Il s'agit de la quatrième mise à jour de la série, et c'est la première fois que les résultats des diplômés des collèges et des universités sont présentés séparément, en raison des différences dans les délais de disponibilité des données. Ce rapport met à jour nos travaux les plus récents (qui intégraient les résultats des étudiants diplômés en 2021) en présentant les résultats annuels des étudiants diplômés des universités du Nouveau-Brunswick entre 2010 et 2022. Les résultats des diplômés des collèges feront l'objet d'un rapport distinct.Item Caractérisation de la population francophone âgée du Grand Saint John (2015-2023)(New Brunswick Institute for Research, Data and Training, 2025-04-01) Beykzadeh, Ali; Gorman-Asal, Madeleine; McDonald, Ted; Morehouse, Jacob AndrewLe bilinguisme rend la province du Nouveau-Brunswick (NB) unique au Canada, apportant avec lui un haut niveau de diversité linguistique et d'enrichissement culturel. Cependant, en tant que seule province officiellement bilingue du Canada, le NB est également confronté à des problèmes de barrières linguistiques qui touchent certaines parties de sa population. Il existe peu d'informations sur la taille de la communauté francophone du NB qui préférerait bénéficier de services en français alors qu'elle vit dans des régions à majorité anglophone. Sans ces informations, il est difficile de montrer avec précision la demande potentielle en matière de services de santé et de services sociaux en français. Dans un rapport précédent (Balzer et al., 2023), le NB-IRDT a établi un profil de la population francophone de la région du Grand Saint John (GSJ) au N.-B. Ce rapport a fourni une base factuelle pour identifier les barrières linguistiques potentielles auxquelles sont confrontés les francophones lorsqu'ils tentent d'accéder à des soins de santé appropriés et rapides dans des régions à majorité anglophone. Dans le présent rapport, nous prolongeons ces travaux antérieurs (Balzer et al., 2023) afin de dresser un profil spécifique de la population francophone âgée (65 ans et plus) vivant dans la région de GSJ. À partir des ensembles de données actuels détenus par le NB-IRDT, cette étude compare divers indicateurs de santé et sociodémographiques entre les personnes âgées francophones et anglophones du Nouveau-Brunswick vivant dans la région de GSJ (une communauté urbaine à majorité anglophone) et les personnes âgées francophones et anglophones vivant à Moncton (une ville urbaine à majorité francophone) et dans le reste du Nouveau-Brunswick. [1] Elle examine l'état de santé de ces populations, leur utilisation des services de santé, leur recours aux services sociaux, la composition de leur ménage, le profil socio-économique de leur quartier et leur situation en matière de soins à domicile et en maison de retraite. Les personnes âgées sont plus susceptibles de souffrir de problèmes de santé complexes et d'avoir des besoins plus importants en matière de soins de santé, ce qui rend les barrières linguistiques particulièrement importantes lorsqu'elles tentent de s'y retrouver dans le système de santé. Une communication efficace dans le domaine des soins de santé est essentielle pour obtenir un diagnostic précis, suivre un traitement et rester en bonne santé. Il est donc important que les patients reçoivent des soins dans une langue qu'ils comprennent bien. Cela est particulièrement important pour les personnes âgées, car la maîtrise et l'aisance dans une deuxième langue peuvent diminuer avec l'âge. Comprendre les défis spécifiques auxquels sont confrontés les résidents francophones âgés de la région de Saint John peut aider à élaborer des politiques et des services qui favorisent un accès équitable aux soins de santé pour cette population. [1] Le « reste du Nouveau-Brunswick » comprend toutes les zones de tri avancé (ZTA) situées entièrement en dehors des régions métropolitaines de recensement (RMR) de Saint John et de Moncton, telles que classées par les trois premiers chiffres des codes postaux de ces zones.Item Characterizing the Older Francophone Population in Greater Saint John (2015-2023)(New Brunswick Institute for Research, Data and Training, 2025-04-01) Beykzadeh, Ali; Gorman-Asal, Madeleine; McDonald, Ted; Morehouse, Jacob AndrewExecutive Summary Bilingualism makes the province of New Brunswick (NB) unique within Canada, bringing with it a high level of linguistic diversity and cultural enrichment. However, as Canada’s only officially bilingual province, NB also faces issues of language barriers affecting segments of its population. There is limited information about the size of the Francophone community in NB that would prefer services in French while living in majority Anglophone areas. Without this information, it is challenging to accurately show the potential demand for French-language health and social services. In a previous report (Balzer et al., 2023), NB-IRDT constructed a profile of the Francophone population in the Greater Saint John (GSJ) region of NB. That report provided an evidence base for identifying potential language barriers facing Francophones as they attempt to access appropriate and timely healthcare in majority Anglophone areas. In this report, we extend that earlier work (Balzer et al., 2023) to construct a profile specifically of the older Francophone population (age 65+) living in GSJ. Using current data sets held at NB-IRDT, this study compares various health and sociodemographic measures between older Francophone and Anglophone New Brunswickers living in GSJ (an urban English-majority community) as well as older Francophone and Anglophone residents living in Moncton (an urban French-majority city) and the Rest of NB.[1] It looks at these populations’ health status, health service use, social services receipt, household composition, neighbourhood socioeconomic profile and in-home care and nursing home status. Older adults are more likely to experience complex health conditions and have greater healthcare needs, making language barriers particularly impactful as they try to navigate the healthcare system. Effective communication in healthcare is essential for getting an accurate diagnosis, following treatment and staying healthy, making it important for patients to receive care in a language they understand well. This is especially important for older adults since fluency and comfort speaking a second language can decline with age. Understanding the specific challenges faced by older Francophone residents in GSJ can help inform policies and services that support equitable healthcare access for this population. [1] “Rest of NB” includes all Forward Sortation Areas (FSAs) fully outside the Saint John and Moncton Census Metropolitan Areas (CMAs) as classified by the first three digits of the areas' postal codes.Item Graduate retention in New Brunswick: 2021 graduate cohort update(New Brunswick Institute for Research, Data and Training, 2024-06) McDonald, Ted; Miah, Pablo; Beykzadeh, Ali; Gorman-Asal, MadeleineThis report is the third in a series of annual updates on post-secondary graduates’ retention in New Brunswick (NB) by the New Brunswick Institute for Research, Data and Training (NB-IRDT). These reports provide an overview of the retention patterns of graduates from post-secondary institutions in NB since the previous reporting period, and their updates on graduates’ retention trends can help guide public policy discussions around education and training strategies to attract younger individuals to study, work and live in NB. The current study, which includes data on the 2021 graduate cohort, provides an update to the graduate retention results released by NB-IRDT in 2023 (Balzer et al., 2023), which included data on individuals who graduated in 2019 and 2020. The methodology followed by Balzer et al. (2023) was replicated for this cohort update.Item Maintien des diplômés universitaires au Nouveau-Brunswick: Mise à jour des résultats pour la cohorte des diplômés de 2022(2025-05) Beykzadeh, Ali; Jones, Bethany; McDonald, Ted; Miah, PabloEn 2021, l'Institut de recherche, de données et de formation du Nouveau-Brunswick (IRDF-NB) a publié le premier rapport d'une série intitulée « Rétention des diplômés au Nouveau-Brunswick ». Chaque année, nous utilisons les données les plus récentes disponibles pour répondre à une liste de questions de recherche, en soulignant l'évolution des résultats depuis la publication du dernier rapport de la série. Nous posons, par exemple, les questions suivantes : • Combien d'étudiants obtiennent leur diplôme dans les universités publiques du Nouveau-Brunswick, et quel pourcentage d'entre eux restent dans la province au fil du temps ? • En quoi les résultats diffèrent-ils pour les étudiants du Nouveau-Brunswick, les étudiants internationaux et les étudiants d'autres provinces du Canada ? • Les diplômés de certaines filières sont-ils plus susceptibles de rester au Nouveau-Brunswick que les autres ? • Quelle université affiche les taux de rétention des diplômés les plus élevés, et pourquoi ? Il s'agit de la quatrième mise à jour de la série, et c'est la première fois que les résultats des diplômés des collèges et des universités sont présentés séparément, en raison des différences dans les délais de disponibilité des données. Ce rapport met à jour nos travaux les plus récents (qui intégraient les résultats des étudiants diplômés en 2021) en présentant les résultats annuels des étudiants diplômés des universités du Nouveau-Brunswick entre 2010 et 2022. Les résultats des diplômés des collèges feront l'objet d'un rapport distinct.Item Multi-patch integrodifference models and their eigenvalue problems in spatial ecology(University of New Brunswick, 2024-10) Beykzadeh, Ali; Watmough, JamesIn the realm of spatial ecology, we grapple with fundamental questions: How can we design effective nature reserves to safeguard the survival of species? In the context of fisheries, how wide can a fishing zone be without compromising the stability of fish populations? These inquiries have fueled my motivation to delve into the subject matter of this thesis. While we acknowledge that precise answers to such questions remain elusive, I have endeavored to contribute to our understanding of these critical issues. Our journey begins with an exploration of integrodifference equations (IDEs) in spatial ecology in Chapter 1. These mathematical models serve as powerful tools for unraveling the intricate spatial and temporal dynamics of populations characterized by discrete generations and continuous spatial domains. Imagine a population confined to a single isolated patch — a scenario akin to a lake surrounded by hard boundaries. Within this patch, there exists a gap devoid of reproduction, effectively separating the population. Consider, for instance, a protected fishing zone within a lake. Our focus in Chapter 2 lies on understanding the persistence of such populations. We model their life cycles using IDEs and present a method to calculate the maximum allowable gap size that ensures population persistence. The concept of critical patch size takes center stage in Chapter 3. It refers to the minimum favorable area below which a population faces the risk of extinction. Our investigation accounts for the demographic and dispersal traits of individuals, recognizing that these traits may vary across patches. Surprisingly, we find that the smallest critical patch size occurs when individuals exhibit a propensity to leave the patch. Conversely, the largest critical patch size arises when boundaries are more restrictive, limiting the chances of individuals leaving the patch. In the patchy landscape, Chapter 4 introduces an approximation method that simplifies equilibrium population calculations. Our approach involves a form of the redistribution approximation tailored for piecewise continuous kernels. The accuracy of our estimate improves as movement biases near patch boundaries intensify. Key factors influencing our estimate include the growth term’s derivative and the deviation of the equilibrium solution from its average across patches.Item Multi-patch Laplace dispersal across biased interfaces(University of New Brunswick, 2019) Beykzadeh, Ali; Watmough, JamesIn the study of the dispersal of species across a landscape, most previous models approximate heterogeneous landscapes by a set of homogeneous patches and allow for different demographic and dispersal rates within each patch. Some work has been done designing and analyzing models which also include a patch preference at the boundaries, which is commonly referred to as a degree of bias. Individuals dispersing across a patchy landscape can detect the changes in habitat at a neighbourhood of a patch boundary, and as a result, they might change the direction of their movement if they are approaching a bad patch. This thesis is devoted to the mathematical derivation of a generalization of the classic Laplace kernel, which includes different dispersal rates in each patch as well as different degrees of bias at the patch boundaries. The simple Laplace kernel and the truncated Laplace kernel most often used in classical work appear as special cases of this general kernel. The form of this general kernel is the sum of two different terms: the classic truncated Laplace kernel within each patch, and a correction accounting for the bias at patch boundaries.Item New Brunswick population and demographic counts - December 2022(New Brunswick Institute for Research, Data and Training, 2023-03) Beykzadeh, Ali; McDonald, TedThis report is the third in a series of ongoing reports that will be published by the New Brunswick Institute for Research, Data and Training (NB-IRDT) twice each year. These reports measure the total population count of New Brunswick (NB) by different demographic and geographic characteristics, as well as the magnitude of interprovincial inflows and outflows. Each new release provides an overview of changes to the New Brunswick population that have occurred since the previous reporting period. The first report1 (October 2021) provides historical data on the NB population for the years 2010-2020 and serves as a benchmark for consecutive updates, including this one. It also contains additional background information on this project. The second report2 updates the descriptive statistics in the first report by extending the original study period to investigate population movement from January 1, 2020, to July 1, 2021 (Quarter 1, 2020 to Quarter 2, 2021). It also describes results for additional or modified measures not included in the first report. The study period for the current report is Quarter 3, 2021 (beginning July 1, 2021) to Quarter 2, 2022 (ending June 30, 2022). This report updates core statistics from the second report while comparing results from the current study period with earlier results from Quarter 3, 2020 to Quarter 2, 2021, when the methodologies align. It presents modified measures for some previous categories of interest, including migration periods, immigrant status, and NB geographies. It also adds new indicators, including NB Returnees and Intra-Provincial Migration. By providing detailed insight into population composition and migration trends in NB, these reports inform research on population dynamics in NB and, in turn, economic growth and development. 1 Balzer, A., McDonald, T., & Mokhtar, R. (2021). New Brunswick population and demographic counts: October 2021. Fredericton, NB: New Brunswick Institute for Research, Data and Training. 2 Balzer, A., McDonald, T., & Mokhtar, R. (2022). New Brunswick population and demographic counts: June 2022. Fredericton, NB: New Brunswick Institute for Research, Data and Training.Item New Brunswick Population and Demographic Counts Update: 2023 Data(New Brunswick Institute for Research, Data and Training, 2024-11) Beykzadeh, Ali; Jones, Bethany; McDonald, Ted; Miah, PabloIn 2021, the New Brunswick Institute for Research, Data and Training published the first report in a Population and Demographics Count series, offering an annual snapshot of New Brunswick's population. These reports track the total population count and provide details on the demographic and geographic characteristics of New Brunswickers, as well as patterns of movement into and out of the province. Each update highlights changes in the population since the previous report, showing whether New Brunswick is attracting new residents and if those who left are returning. This fifth report in the series updates the population snapshot with annual results from January 2020 to December 2023.Item New Brunswick Population and Demographic Counts Update: 2024 Data(DataNB, 2025-10-09) Beykzadeh, Ali; Jones, Bethany; McDonald, Ted; Miah, PabloThis sixth report in the Population and demographic counts series provides an annual update on New Brunswick’s population from January 2021 through December 2024. Drawing on administrative data, the report presents total population counts, demographic and geographic characteristics, and migration flows into and out of the province. The analysis highlights both growth and decline across different categories of residents, including Canadian citizens, permanent residents, and temporary residents such as study and work permit holders. Findings show that New Brunswick’s population grew each year during the study period, reaching 854,580 by the end of 2024. Growth was driven by interprovincial migration and non‑citizen arrivals, particularly in smaller communities. However, the number of study permit holders declined significantly in 2024, coinciding with new federal limits. Out‑migration also increased, especially among temporary residents.Item New Brunswick population and demographic counts: 2019-2022(New Brunswick Institute for Research, Data and Training, 2023-10) Beykzadeh, Ali; Jones, Bethany; McDonald, Ted; Miah, PabloIn 2021, the New Brunswick Institute for Research, Data and Training (NB-IRDT) released the first report in a Population and demographics count series that provides a snapshot of the population of New Brunswick each year. These reports measure the total population count of New Brunswick and include information on New Brunswickers' demographic and geographic characteristics, as well as movement to and from the province. Each new update provides an overview of how the population has changed since the previous report was released, allowing us to see whether NB is attracting new residents and if individuals who previously left are now returning. This is the fourth report in the series, and it updates our population snapshot by comparing annual results from January 2019 until December 2022.Item Rapport récapitulatif: Caractérisation de la population francophone âgée du Grand Saint John (2015-2023)(2025-04-01) Beykzadeh, Ali; Gorman-Asal, Madeleine; McDonald, Ted; Morehouse, Jacob AndrewItem Summary Report: Characterizing the Older Francophone Population in Greater Saint John (2015-2023)(New Brunswick Institute for Research, Data and Training, 2025-04-01) Beykzadeh, Ali; Gorman-Asal, Madeleine; McDonald, Ted; Morehouse, Jacob AndrewBilingualism makes the province of New Brunswick (NB) unique within Canada, bringing with it a high level of linguistic diversity and cultural enrichment. However, as Canada’s only officially bilingual province, NB also faces issues of language barriers affecting segments of its population. There is limited information about the size of the Francophone community in NB that would prefer services in French while living in majority Anglophone areas. Without this information, it is challenging to accurately show the potential demand for French-language health and social services. In a previous report (Balzer et al., 2023), NB-IRDT constructed a profile of the Francophone population in the Greater Saint John (GSJ) region of NB. That report provided an evidence base for identifying potential language barriers facing Francophones as they attempt to access appropriate and timely healthcare in majority Anglophone areas. In this report, we extend that earlier work (Balzer et al., 2023) to construct a profile specifically of the older Francophone population (age 65+) living in GSJ. Using current data sets held at NB-IRDT, this study compares various health and sociodemographic measures between older Francophone and Anglophone New Brunswickers living in GSJ (an urban English-majority community) as well as older Francophone and Anglophone residents living in Moncton (an urban French-majority city) and the Rest of NB.[1] It looks at these populations’ health status, health service use, social services receipt, household composition, neighbourhood socioeconomic profile and in-home care and nursing home status. Older adults are more likely to experience complex health conditions and have greater healthcare needs, making language barriers particularly impactful as they try to navigate the healthcare system. Effective communication in healthcare is essential for getting an accurate diagnosis, following treatment and staying healthy, making it important for patients to receive care in a language they understand well. This is especially important for older adults since fluency and comfort speaking a second language can decline with age. Understanding the specific challenges faced by older Francophone residents in GSJ can help inform policies and services that support equitable healthcare access for this population. [1] “Rest of NB” includes all Forward Sortation Areas (FSAs) fully outside the Saint John and Moncton Census Metropolitan Areas (CMAs) as classified by the first three digits of the areas' postal codes.Item Summary Report: Graduate retention in New Brunswick: 2021 graduate cohort update(New Brunswick Institute for Research, Data and Training, 2024-06) Beykzadeh, Ali; Gorman-Asal, Madeleine; McDonald, Ted; Miah, PabloThis report is the third in a series of annual updates on post-secondary graduates’ retention in New Brunswick (NB) by the New Brunswick Institute for Research, Data and Training (NB-IRDT). These reports provide an overview of the retention patterns of graduates from post-secondary institutions in NB since the previous reporting period, and their updates on graduates’ retention trends can help guide public policy discussions around education and training strategies to attract younger individuals to study, work and live in NB. The current study, which includes data on the 2021 graduate cohort, provides an update to the graduate retention results released by NB-IRDT in 2023 (Balzer et al., 2023), which included data on individuals who graduated in 2019 and 2020. The methodology followed by Balzer et al. (2023) was replicated for this cohort update.Item Summary Report: New Brunswick population and demographic counts - December 2022(New Brunswick Institute for Research, Data and Training, 2023-03) Beykzadeh, Ali; McDonald, TedThis report is the third in a series of ongoing reports that will be published by the New Brunswick Institute for Research, Data and Training (NB-IRDT) twice each year. These reports measure the total population count of New Brunswick (NB) by different demographic and geographic characteristics, as well as the magnitude of interprovincial inflows and outflows. Each new release provides an overview of changes to the New Brunswick population that have occurred since the previous reporting period. The first report1 (October 2021) provides historical data on the NB population for the years 2010-2020 and serves as a benchmark for consecutive updates, including this one. It also contains additional background information on this project. The second report2 updates the descriptive statistics in the first report by extending the original study period to investigate population movement from January 1, 2020, to July 1, 2021 (Quarter 1, 2020 to Quarter 2, 2021). It also describes results for additional or modified measures not included in the first report. The study period for the current report is Quarter 3, 2021 (beginning July 1, 2021) to Quarter 2, 2022 (ending June 30, 2022). This report updates core statistics from the second report while comparing results from the current study period with earlier results from Quarter 3, 2020 to Quarter 2, 2021, when the methodologies align. It presents modified measures for some previous categories of interest, including migration periods, immigrant status, and NB geographies. It also adds new indicators, including NB Returnees and Intra-Provincial Migration. By providing detailed insight into population composition and migration trends in NB, these reports inform research on population dynamics in NB and, in turn, economic growth and development. 1 Balzer, A., McDonald, T., & Mokhtar, R. (2021). New Brunswick population and demographic counts: October 2021. Fredericton, NB: New Brunswick Institute for Research, Data and Training. 2 Balzer, A., McDonald, T., & Mokhtar, R. (2022). New Brunswick population and demographic counts: June 2022. Fredericton, NB: New Brunswick Institute for Research, Data and Training.Item Summary Report: The employment, retention and exit of publicly employed nurses in NewBrunswick: An analysis using linked administrative data(New Brunswick Institute for Research, Data and Training, 2024-06) Beykzadeh, Ali; McDonald, Ted; Miah, PabloThis study investigates nurses' recruitment, occupational retention, and mobility in New Brunswick's (NB's) public health sector from 2016 to 2022. Utilizing a linked administrative data set that includes individual-level payroll data of registered nurses and licensed practical nurses, university and college graduation data and Medicare health insurance registry data, NB-IRDT researchers address three questions concerning nurses' labour market decisions and transitions: - What proportion of nursing graduates from public post-secondary institutions in NB live in NB and work as nurses in its public hospitals? - What factors influence nurses' decisions to leave employment in the NB public hospital system? - Among the nurses who leave the NB hospital system, do they remain in NB, or do they move out of the province?Item Summary Report: The Impacts of Flooding Events on Mental Health in New Brunswick(New Brunswick Institute for Research, Data and Training, 2023-10) Magalhaes, Sandra; Lundy, Adele; Youssef, Simon; Simmons, Haylie; Cameron, Jillian; Beykzadeh, AliFlooding events are among the most devasting natural disasters – and as a result of climate change, natural disasters such as flooding are expected to occur more frequently and be more severe. The effects caused by flooding can create a lot of stress and uncertainty. Previous research studies consistently demonstrate negative mental health impacts associated with flooding, such as anxiety, depression, and post-traumatic stress disorder (PTSD) and increases in need for health services. However, the research in this area is limited by lower quality research methodology, including self-selected samples and uncontrolled statistical analyses. The research study presented in this report describes mental health impacts of flooding. In doing so, it fills an important knowledge gap, as it is among the few studies to use population-based sampling and multivariable regression models in estimating the impacts of flooding and to identify high-risk population sub-groups that are more vulnerable to the impacts of flooding. The specific objectives of this research are to: 1. Characterize populations affected by flooding in the province of New Brunswick. 2. Determine which mental health outcomes are negatively affected by flooding. 3. Identify high-risk population sub-groups that may be more vulnerable to the mental health impacts of flooding. A population-based longitudinal cohort study design was established using linked, pseudonymized person-level administrative data available for access through the New Brunswick Institute for Research, Data and Training (NB-IRDT). Seven significant flooding events in New Brunswick were examined: 2005, 2008, 2012, 2014, 2015, 2018, and 2019. Cohort members were defined as exposed if they lived in a geographic area identified to have any flooding based on a combination of flood-related data from the Government of Canada and the Government of New Brunswick. Six mental health outcomes and six alternate outcomes were compared between exposed and unexposed populations. Mental health outcomes include health service use for mental illness and more specifically for mood and/or anxiety disorders, hospitalization for mental illness-related reasons and for post-traumatic stress disorder (PTSD), and physician services for counselling/psychotherapy, as well as death by suicide. Several alternate outcomes were also examined to provide a fuller understanding of the experiences of the exposed population, including Emergency Department use, hospital service use, school attendance in children, and withdrawal from post-secondary education in youth. Risk factors for mental health and alternate outcomes were also considered in exposed populations, including flood-related, sociodemographic, and health-related characteristics. Advanced regression modeling techniques were used to compare outcomes during the same time period in an exposed population relative to an unexposed population that was similar with respect to age, sex, socioeconomic status, and pre-flooding mental health.Item Technical Appendix: New Brunswick Population and Demographic Counts Update: 2023 Data(New Brunswick Institute for Research, Data and Training, 2024-11) Beykzadeh, Ali; Jones, Bethany; McDonald, Ted; Miah, PabloIn 2021, the New Brunswick Institute for Research, Data and Training (NB-IRDT) published the first report in a Population and Demographics Count series, offering an annual snapshot of New Brunswick's population. These reports track the total population count and provide details on the demographic and geographic characteristics of New Brunswickers, as well as patterns of movement into and out of the province. Each update highlights changes in the population since the previous report, showing whether New Brunswick is attracting new residents and if those who left are returning. This fifth report in the series updates the population snapshot with annual results from January 2020 to December 2023.Item Technical Appendix: New Brunswick population and demographic counts: 2019-2022(New Brunswick Institute for Research, Data and Training, 2023) Beykzadeh, Ali; Jones, Bethany; McDonald, Ted; Miah, PabloIn 2021, the New Brunswick Institute for Research, Data and Training (NB-IRDT) released the first report in a Population and demographics count series that provides a snapshot of the population of New Brunswick each year. These reports measure the total population count of New Brunswick and include information on New Brunswickers' demographic and geographic characteristics, as well as movement to and from the province. Each new update provides an overview of how the population has changed since the previous report was released, allowing us to see whether NB is attracting new residents and if individuals who previously left are now returning. This is the fourth report in the series, and it updates our population snapshot by comparing annual results from January 2019 until December 2022.Item Technical Appendix: New Brunswick Population and Demoraphic Counts Update: 2024 Data(DataNB, 2025-10) Beykzadeh, Ali; Jones, Bethany; McDonald, Ted; Miah, PabloThis sixth report in the Population and demographic counts series provides an annual update on New Brunswick’s population from January 2021 through December 2024. Drawing on administrative data, the report presents total population counts, demographic and geographic characteristics, and migration flows into and out of the province. The analysis highlights both growth and decline across different categories of residents, including Canadian citizens, permanent residents, and temporary residents such as study and work permit holders. Findings show that New Brunswick’s population grew each year during the study period, reaching 854,580 by the end of 2024. Growth was driven by interprovincial migration and non‑citizen arrivals, particularly in smaller communities. However, the number of study permit holders declined significantly in 2024, coinciding with new federal limits. Out‑migration also increased, especially among temporary residents.