Two Decades of Data Reveal a Widening Life Expectancy Gap in British Columbia

Where a person is born in British Columbia may shape how long they live, according to a comprehensive new analysis of more than two decades of provincial vital statistics. Researchers from the Office of the Provincial Health Officer within the British Columbia Ministry of Health, working with colleagues at the University of British Columbia and the University of Victoria, examined life expectancy at birth across the province from 2001 through 2023, tracking how the measure changed by sex, urbanicity, and two dimensions of neighborhood deprivation. Their findings, published in the International Journal for Equity in Health, reveal a sobering picture beneath the province’s overall health statistics: while life expectancy at birth has generally increased across British Columbia over the study period, the gains have not been shared equally, and the gaps between the most and least advantaged populations have widened, particularly among males.

Life expectancy at birth is one of the most widely used summary indicators of population health, capturing the average number of years a newborn would be expected to live if current age-specific mortality rates persisted throughout their lifetime. Because it condenses the entire age pattern of mortality into a single figure, it is sensitive to shifts in deaths at any age, and it serves as a powerful lens for detecting both broad public health improvements and sudden demographic shocks. The research team leveraged this sensitivity by linking two administrative data sources: the BC Vital Statistics Registry, which records all deaths among provincial residents, and the mandatory provincial health insurance program, whose enrollment files provided mid-year annual population estimates used as the denominator for mortality calculations. This linkage allowed the researchers to construct period life tables for each year of the study window and for each population subgroup of interest.

The technical backbone of the analysis was the Chiang method, a well-established statistical approach for converting age-specific death rates into abridged period life tables and corresponding life expectancy estimates. Rather than modeling individual survival, the Chiang method builds on the observed probability of dying within each age interval, chaining these probabilities across the lifespan to produce a complete life table. Because deaths were drawn from a complete registry rather than a sample, the resulting estimates describe the entire resident population of British Columbia, giving the study unusual statistical power to detect differences between small geographic and socioeconomic subgroups. The team computed annual life expectancy estimates separately for females and males, and separately across categories of urbanicity, material deprivation, and social deprivation, allowing each dimension of inequality to be examined on its own terms.

The choice of deprivation axes reflects decades of research showing that socioeconomic context shapes health through distinct pathways. Material deprivation, typically captured through indicators such as income, education, employment, and housing conditions, reflects the tangible resources available to individuals and communities. Social deprivation, by contrast, captures dimensions such as household composition, marital status, and social isolation, which influence health through support networks and social connection. By treating these two dimensions separately rather than collapsing them into a single index, the researchers could identify which form of disadvantage carried the strongest signal for premature mortality in the British Columbian context. Similarly, by stratifying by urbanicity, the analysis distinguished residents of large urban centers from those in smaller towns and rural areas, where access to health services, economic opportunity, and infrastructure can differ dramatically.

The headline result is one of divergence rather than uniform progress. Life expectancy in British Columbia rose over the 23-year study period, consistent with long-term trends in high-income countries driven by declines in cardiovascular mortality, improved cancer survival, and other incremental gains. Yet the improvements were unevenly distributed. The largest disparities appeared in rural areas and in the most deprived populations, and the gaps were especially pronounced among males. In other words, the average British Columbian gained years of life over this period, but a male newborn in a rural, materially deprived community could expect substantially fewer of those years than his counterpart in an urban, affluent neighborhood. The persistence and likely widening of these gaps over two decades suggests that the structural conditions producing them are deeply embedded rather than transient.

The study also captured the imprint of two major public health emergencies that struck the province during the study window: the illicit drug toxicity crisis and the COVID-19 pandemic. The drug toxicity crisis, which accelerated dramatically in British Columbia after 2016 as the illicit drug supply became contaminated with fentanyl and related synthetic opioids, drove sharp increases in deaths among younger and middle-aged adults, compressing life expectancy at birth in a way that few other causes can. The COVID-19 pandemic delivered a second shock beginning in 2020, with mortality concentrated among older adults and, as the analysis shows, falling disproportionately on already disadvantaged communities. The researchers found significant declines in life expectancy associated with these emergencies, but also documented resilience: life expectancy increases were observed again soon after each shock, indicating some recovery capacity in the provincial population.

That recovery, however, was not necessarily equal across subgroups. Public health emergencies of this magnitude tend to act as inequality amplifiers, because the populations with fewer resources, weaker access to care, and greater exposure to hazardous conditions absorb the mortality burden most heavily. The finding that the greatest disparities occurred among rural and most deprived populations, especially males, aligns with what is known about the epidemiology of the drug toxicity crisis, which has claimed lives overwhelmingly among men, and about pandemic mortality patterns that tracked socioeconomic vulnerability. A male newborn born into a deprived community facing both an unregulated toxic drug supply and a novel pandemic experienced compounded risks that a life table can capture in stark numerical form.

For public health planners, the study’s central message is that geography matters, but geography is not destiny. Urbanicity provides critical information about where additional public health efforts are needed, serving as a practical marker for targeting interventions, resources, and outreach to communities falling behind. Yet the authors emphasize that identifying the underlying factors, such as material and social deprivation, that contribute to health disparities may be even more valuable for reducing life expectancy inequalities. Geography tells planners where to look; deprivation tells them why the gap exists and what might be changed. A rural community that is also materially deprived faces a different set of actionable problems than a rural community that is economically secure, and policies calibrated to these distinctions are more likely to succeed than those based on postal code alone.

Methodologically, the study demonstrates the value of routinely collected administrative data for health equity surveillance. Because the vital statistics registry and insurance enrollment files cover the entire population, there is no sampling error to worry about and no survey non-response to bias the estimates. The trade-off is that administrative records describe deaths and denominators, not the mechanisms behind them; the analysis is explicitly descriptive, charting trends rather than testing causal explanations. The researchers are careful on this point, and their conclusion focuses on monitoring and targeting rather than on claims about specific interventions. Still, descriptive precision of this kind is the foundation of effective health policy: a government cannot close a gap it has not measured, and a 23-year annual series disaggregated by sex, geography, and deprivation is among the most complete measurements a province can produce.

The study was conducted as part of the work of the BC Vital Event Data Analysis Working Group, with ethics approval from the University of British Columbia Research Ethics Board, and it draws on data from hundreds of thousands of British Columbians whose deaths are recorded in the provincial registry. Each figure in the analysis represents accumulated individual losses, something the authors acknowledge directly in noting that every death in the study represents a person missed by their family and community. As British Columbia continues to grapple with the aftermath of the drug toxicity crisis, the lingering effects of the pandemic, and the long arc of socioeconomic inequality, this analysis provides a clear, quantified baseline. It shows that the province’s overall life expectancy trajectory, taken alone, conceals profound disparities, and that closing those disparities will require attention not only to where people live but to the material and social conditions in which they live. In an era when population health statistics are often reported as single provincial or national averages, this research is a reminder that averages can flatter a health system while its most vulnerable residents are left behind.

Subject of Research: Trends and inequalities in life expectancy at birth by urbanicity and deprivation in British Columbia, Canada, from 2001 to 2023

Article Title: Inequalities in life expectancy at birth: descriptive trends by urbanicity and deprivation in British Columbia, Canada, 2001–2023

Article References: Wong, I. S., McLean, K., Feng, Y., Wan, X., Parker, A., Nisingizwe, M. P., & Ye, X. (2026). Inequalities in life expectancy at birth: descriptive trends by urbanicity and deprivation in British Columbia, Canada, 2001–2023. International Journal for Equity in Health. https://doi.org/10.1186/s12939-026-03017-4

Image Credits: AI Generated

DOI: 10.1186/s12939-026-03017-4

Keywords: life expectancy, health inequalities, health disparities, urbanicity, material deprivation, social deprivation, British Columbia, COVID-19 pandemic, illicit drug toxicity crisis, vital statistics, public health, population health