Health Analytics Dashboard
Vital trends, hospital density, and healthcare accessibility gaps alongside county economic indicators.
County Health Summary PDF
Latest hospital coverage, birth & death rates for a selected county
Bulk County Comparison PDF
Select multiple counties to compare hospital coverage, birth & death rates side-by-side
30.5/1k
7.7/1k
6.7/1k
34
3,580
68.2
Birth & Death Rate Trend
National crude rates per 1,000 population
- Birth Rate
- Death Rate (M)
- Death Rate (F)
Hospital Density by County
Beds per 100,000 population (latest year)
Healthcare Accessibility Gaps
Counties below the national average of 68.2 beds per 100k, with their economic context
| County | Beds/100k | Hospitals | Total Beds | GDP Share % | Growth % | Life Exp. |
|---|---|---|---|---|---|---|
| Grand Kru | 36.6 | 1 | 40 | 0.8 | 3.2 | 62.5 |
| Gbarpolu | 41.7 | 1 | 40 | 1.2 | 5.0 | 63.0 |
| Grand Gedeh | 46.1 | 1 | 100 | 1.8 | 3.8 | 63.0 |
| River Gee | 48.1 | 1 | 60 | 1.0 | 3.5 | 63.0 |
| Grand Cape Mount | 50.3 | 2 | 90 | 2.0 | 4.5 | 63.5 |
| Bomi | 52.4 | 1 | 70 | 1.5 | 4.6 | 64.0 |
| Sinoe | 53.2 | 1 | 80 | 2.0 | 4.0 | 63.0 |
| Rivercess | 55.1 | 1 | 50 | 0.7 | 3.9 | 63.0 |
| Montserrado | 63.0 | 7 | 1,210 | 55.0 | 5.2 | 66.0 |
Economic Importance vs Healthcare Access
Top counties by GDP share — those flagged below lack hospital capacity relative to their economic weight.
Predictive Hospital Capacity Forecast (2015–2024 → +2 yrs)
Linear regression on 2015–2024 county birth & death rates projects future population; beds needed to sustain the target coverage ratio.
417
9
5,499,366
68.2/100k
Projected Required Beds Trajectory — Top Counties Needing Expansion
- Montserrado
- Grand Gedeh
- Grand Kru
- Grand Cape Mount
- River Gee
- Gbarpolu
Additional Beds Needed by County (Year +2)
| County | Birth Δ/yr | Death Δ/yr | Current Pop | Proj Pop Y+2 | Current Beds | Required Y+2 | Additional Needed |
|---|---|---|---|---|---|---|---|
| Sinoe | — | — | 150,358 | 158,325 | 80 | 108 | +28 |
| Rivercess | — | — | 90,777 | 95,605 | 50 | 65 | +15 |
| River Gee | — | — | 124,653 | 131,283 | 60 | 90 | +30 |
| Nimba | — | — | 621,841 | 652,812 | 530 | 445 | 0 |
| Montserrado | — | — | 1,920,914 | 2,004,401 | 1,210 | 1,367 | +157 |
| Maryland | — | — | 172,202 | 181,061 | 130 | 123 | 0 |
| Margibi | — | — | 304,946 | 319,728 | 280 | 218 | 0 |
| Lofa | — | — | 367,376 | 386,276 | 290 | 263 | 0 |
| Grand Kru | — | — | 109,342 | 115,337 | 40 | 79 | +39 |
| Grand Gedeh | — | — | 216,692 | 227,795 | 100 | 155 | +55 |
| Grand Cape Mount | — | — | 178,798 | 188,033 | 90 | 128 | +38 |
| Grand Bassa | — | — | 293,557 | 307,216 | 220 | 210 | 0 |
| Gbarpolu | — | — | 95,995 | 101,121 | 40 | 69 | +29 |
| Bong | — | — | 467,502 | 490,020 | 390 | 334 | 0 |
| Bomi | — | — | 133,668 | 140,353 | 70 | 96 | +26 |
County Choropleth
Color intensity = beds per 100k · click a county for details
Primary sources
- MoH
- — Ministry of Health: Health facility census, workforce, service delivery and health financing
- WHO
- — World Health Organization: Global Health Observatory: mortality, immunization and health-system estimates
- UNICEF
- — United Nations Children's Fund: Child health, nutrition and basic education indicators
- LISGIS
- — Liberia Institute of Statistics and Geo-Information Services: 2022 Population and Housing Census, consumer price index, external trade and household surveys
- World Bank
- — World Bank Group: World Development Indicators, Liberia Economic Update, debt and poverty statistics
Each figure above is attributed to the publishing institution and its reporting period. Derived and AI-generated forecasts are labelled separately from published data.