Regional Disparities in Healthcare Resources Across the Armenian Provinces

This project takes you through a data-driven exploration of healthcare access across Armenia’s marzes—mapping physicians, hospitals, and beds per capita to show who is under-served, how access compares to the national mean, and what that means for distance and wait times.

Author: Arman Gevorgyan

The data presented here come from ArmStat (2024). The goal is to support evidence-based decisions on where to invest so that more Armenians can reach care without long travel. Population figures used here are estimates; official ArmStat counts should be used for policy.

National averages hide large differences: the capital pulls the mean up while several provinces sit well below. The figures below summarize overall supply and highlight the most under-served region by physician density.

Physicians per 10,000

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National Average

Hospitals per 100,000

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National Average

Hospital Beds per 1,000

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National Average

Most Under-served

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Region (physicians)

Critical Finding

Yerevan has 79.75 physicians per 10,000—about 3× the national average and ~6× Gegharkunik (13.86) and Tavush (16.73). Fewer hospitals and physicians in provinces mean longer travel and wait times.

Access vs national mean
Severely under-served
Under-served
Adequate
Well-served

Spatially, Yerevan is the only consistently well-served region; the rest form a gradient from adequate to severely under-served. The map makes it clear where improving access would have the largest impact.

Physician density, hospital density, and bed capacity each tell part of the story. The diverging chart shows how far each marz is from the national mean; the population view shows how many people live in each access tier; and the radar compares a few regions across all three dimensions.

Explore by region

Physicians/10k
Hospitals/100k
Beds/1k
Population

Hover or click bars to update.

Physicians per 10,000

Hospitals per 100,000

Hospital Beds per 1,000

All three metrics by marz

Gap from national mean (physicians/10k)

Bars left of the center line are below average; bars right are above. Length = distance from mean.

Population by access tier

How many people live in well-served vs under-served marzes (by physician density).

Access ladder

Marzes ranked by physicians per 10,000. Top = best served, bottom = most under-served.

Compare three marzes (radar)

Yerevan, Gegharkunik, and Kotayk on physicians, hospitals, and beds (normalized).

Priority regions (multiple indicators under-served)

  • Gegharkunik — low physicians, low beds
  • Tavush — low physicians, low beds
  • Aragatsotn — low physicians, severely low beds
  • Ararat — low physicians, very low hospitals, low beds
  • Armavir — low physicians, very low hospitals

The data shows a sharp concentration of healthcare resources in the capital. Yerevan city reports 79.75 physicians per 10,000 population, which is roughly three times the national mean of about 26 and nearly six times the lowest-density marzes, Gegharkunik (13.86) and Tavush (16.73). When looking at hospital density, Armavir has 1.13 hospitals per 100,000 and Ararat has 1.92, against a national mean of about 3.5 and Yerevan’s 5.34. In bed capacity, Aragatsotn has 2.31 beds per 1,000, the lowest among the marzes. These gaps showcase how constrained the rural population is when it comes to healthcare. The historic empirical research in healthcare policy finds that higher physician density in rural or suburban areas is associated with lower mortality and better access to outpatient care, and that the effect of proximity to doctors weakens with distance. By that logic, raising physician and facility density in Armenia’s under-served marzes would be expected to improve both physical access (shorter travel) and effective access (shorter waits, more capacity).

The numbers also show who is affected. Gegharkunik and Tavush together have over 360,000 residents but the lowest physician density – Gegharkunik has about 324 physicians for 233,721 people (13.86 per 10,000) and Tavush about 213 for 127,279 (16.73 per 10,000). To reach the national mean of about 26 per 10,000, Gegharkunik would need roughly 280 more physicians and Tavush about 120. Armavir and Ararat add another 526,000 residents with very low hospital density, whereby Armavir has about 3 hospitals for 266,400 people (1.13 per 100,000) and Ararat about 5 for 260,479 (1.92). Aragatsotn has the lowest bed capacity of about 308 beds for 133,200 residents (2.31 per 1,000) compared with a national mean around 3.3, implying a shortfall of over 100 beds. Targeting policy there is where the data suggest the largest gains in access.

Concrete projections help fix the scale of what policies could achieve. If incentive programs (salary supplements, housing, or targeted loan repayment with service obligations in under-served marzes) were to raise physician density in Gegharkunik and Tavush by even 3–5 per 10,000 over a decade, then a conservative assumption given evaluations in other countries would mean on the order of 100–180 additional physicians in those two marzes alone, serving the same 360,000 residents. Studies suggest that incentives linked to the salaries can yield larger placement gains than loan forgiveness alone, and that programs with explicit service obligations improve retention in needier areas. Adding one hospital in Armavir would raise its rate from 1.13 to about 1.5 per 100,000, adding capacity for tens of thousands of people. Adding 50–100 beds in Aragatsotn would narrow the gap toward the national mean and reduce pressure to transfer patients out of the province. Expanding primary care and ambulatory capacity in the lowest-facility provinces would cut travel for routine care; regional referral networks would make better use of existing beds and staff. None of these require closing the full gap to Yerevan’s levels – partial convergence toward the national mean would already improve access for a large share of the provincial population.

In conclusion, the statistics identify which marzes and which indicators are furthest from the mean and by how much, and evidence from other countries suggests that closing those gaps would improve access and outcomes. The numbers above give a sense of the order of magnitude – additional physicians, facilities, and beds – that targeted policies could aim for, so that interventions can be designed and monitored with specificity.