Rivercess County — Economic Profile
On-demand county report for Rivercess, generated by garmaijohnson75@gmail.com on 2026-08-07.
County Overview
- Capital: River Cess
- Region: South-Central
- Year: 2,024
- Population: 90,777
- Land Area (km²): 5,590
- GDP Contribution (USD M): 32.9
- GDP Share %: 0.7
- Growth Rate %: 3.9
- Gov Allocation (USD): 300,000
- Main Resources: Timber, rubber, fertile land
Key Industries
- Timber
- Agriculture
- Rubber
Agricultural Products
- Rubber
- Cassava
- Palm oil
- Rice
National Trade Context
- Year: 2,026
- Total Exports (USD): 199.97
- Total Imports (USD): 261.94
- Trade Balance (USD): -61.97
- FDI Inflows (USD): 0
- Remittances (USD): 84.78
- Top Export Commodity: Rubber
- Top Import Commodity: Fuel
- Top Trading Partners: United States, Canada, Switzerland
Private Sector Context (National)
- Year: 2,024
- Total GDP Contribution (USD M): 545.5
- Total Employment: 29,270
- ArcelorMittal Liberia: 480,000,000 USD revenue · 3,200 employees · mining
- Firestone Natural Rubber: 185,000,000 USD revenue · 6,800 employees · agriculture
- BRAC Liberia: 12,000,000 USD revenue · 450 employees · social services
- Save the Children Liberia: 8,500,000 USD revenue · 320 employees · health & education
- SME Sector Aggregate: 95,000,000 USD revenue · 18,500 employees · mixed (trade, services, manufacturing)
Economic Analysis & Outlook
Rivercess County, situated in Liberia’s South-Central region, maintains a modest economic profile, contributing approximately 0.7 percent to the national GDP with an economic output valued at 32.9 million USD. Despite its limited scale, the county displays a resilient growth trend of 3.9 percent, anchored primarily by its natural resource wealth. The economy is heavily dependent on the timber industry and a traditional agricultural sector, with rubber, cassava, palm oil, and rice serving as the primary commodities. While the county benefits from a consistent governmental budget allocation of 300,000 USD, it faces broader macroeconomic pressures, specifically mirrored in the national trade deficit of 61.97 million USD, which highlights the challenge of balancing high import volumes against local export capacity in the absence of direct foreign investment. Moving forward, Rivercess possesses significant potential for development if it can leverage its untapped agricultural capacity and timber resources to move up the value chain. Strategic investment in processing facilities for palm oil and rubber could catalyze sustainable growth and help bridge the current infrastructure gaps. However, the outlook remains cautious as the region navigates risks related to infrastructure limitations and the lack of private capital inflow. By prioritizing small-scale agricultural industrialization and improving internal logistics, the county could transform its natural assets into more robust regional economic drivers, ultimately moving toward a more self-sufficient and diversified economic model.
Primary sources
- CBL
- — Central Bank of Liberia: Annual Report and Monthly Economic Review: monetary policy, exchange rates, banking soundness, balance of payments
- MFDP
- — Ministry of Finance and Development Planning: National Budget, budget execution reports, public debt and fiscal transfers
- LISGIS
- — Liberia Institute of Statistics and Geo-Information Services: 2022 Population and Housing Census, consumer price index, external trade and household surveys
- LRA
- — Liberia Revenue Authority: Annual Report: tax and non-tax collections, taxpayer register, filing and payment compliance
- IMF
- — International Monetary Fund: Article IV consultation reports, World Economic Outlook and fiscal/debt analysis
- World Bank
- — World Bank Group: World Development Indicators, Liberia Economic Update, debt and poverty statistics
- UNDP
- — United Nations Development Programme: Human Development Report and its index components
- WHO
- — World Health Organization: Global Health Observatory: mortality, immunization and health-system estimates
Each figure above is attributed to the publishing institution and its reporting period. Derived and AI-generated forecasts are labelled separately from published data.