Southeast Asian/Maritime Demographic Structure 800-1500 CE

Demographic structure data (age structure, life expectancy, fertility, mortality) for Southeast Asian/Maritime civilization during medieval period (800-1500 CE), showing balanced structure with high fertility and high mortality.

Southeast Asian maritime

Data Summary

• Age Structure (800 CE): ~37% under 15, ~58% 15-64, ~5% 65+ (balanced, high youth proportion)
• Age Structure (1500 CE): ~37% under 15, ~58% 15-64, ~5% 65+ (balanced, high youth proportion)
• Life Expectancy (800 CE): ~30-35 years at birth
• Life Expectancy (1500 CE): ~31-36 years at birth
• Fertility Rate (800 CE): ~5-6 births per woman
• Fertility Rate (1500 CE): ~5-6 births per woman
• Mortality Rate (800 CE): ~34-39 deaths per 1,000 population
• Mortality Rate (1500 CE): ~33-38 deaths per 1,000 population
• Trend: Stable demographic structure with high fertility and high mortality, slight improvement
• Confidence: Weak (very limited historical records, primarily archaeological estimates)
• Source: McEvedy & Jones 1978, expert assessments, archaeological skeletal analysis
• Period: 800-1500 CE (Medieval period, Srivijaya, Angkor, regional kingdoms)

Time Series Data

Age Distribution

• Youth (0-14): 37% of population (high youth proportion, balanced structure)
• Working Age (15-64): 58% of population (moderate-high, supports economic capacity)
• Elderly (65+): 5% of population (low, typical for pre-modern civilizations)

Age Structure Implications

• Military Capacity: High youth proportion (37%) provides military recruitment pool (Guns axis)
• Economic Capacity: Moderate-high working age (58%) supports economic productivity and specialization
• Dependency Ratio: Moderate dependency (youth + elderly = 42%), manageable
• Population Growth: High fertility (5-6 births/woman) with high mortality (33-39 deaths/1,000) enables moderate population growth

Life Expectancy Trends

• 800 CE: 30-35 years at birth (moderate for pre-modern civilization)
• 1500 CE: 31-36 years at birth (moderate, slight improvement)
• Trend: Slight improvement (maritime trade integration, agricultural productivity, disease management)

Life Expectancy Implications

• Health Status: Moderate life expectancy indicates moderate disease burden
• Economic Capacity: Moderate life expectancy limits economic productivity per capita but enables population growth
• Disease Vulnerability: Moderate life expectancy indicates moderate disease burden (Germs axis)

Fertility Trends

• 800 CE: 5-6 births per woman (high fertility, typical for pre-modern civilizations)
• 1500 CE: 5-6 births per woman (high fertility, stable)
• Trend: Stable high fertility (cultural preferences, agricultural economy, high infant mortality)

Fertility Implications

• Population Growth: High fertility enables population growth despite high mortality
• Age Structure: High fertility creates high youth proportion (37%)
• Economic Impact: High fertility creates dependency but also future labor force

Mortality Trends

• 800 CE: 34-39 deaths per 1,000 population (high mortality, typical for pre-modern civilizations)
• 1500 CE: 33-38 deaths per 1,000 population (high mortality, slight improvement)
• Trend: Slight improvement (maritime trade integration, disease management, agricultural productivity)

Mortality Implications

• Disease Burden: High mortality indicates significant disease burden (Germs axis)
• Infant Mortality: High infant mortality (estimated 200-300 per 1,000 live births) contributes to high overall mortality
• Life Expectancy: High mortality limits life expectancy (30-36 years)
• Population Growth: High mortality constrains population growth despite high fertility

Comparative Context

• Age Structure Comparison:
  • Similar to other pre-modern civilizations (high youth, low elderly)
  • Similar to Sinitic (1500 CE: 37% vs 38% under 15)
  • Balanced structure supports economic and military capacity
• Life Expectancy Comparison:
  • Similar to other pre-modern civilizations (31-36 years)
  • Similar to Sinitic (1500 CE: 31-36 vs 32-37 years)
  • Moderate for pre-modern standards
• Fertility Comparison:
  • Similar to other pre-modern civilizations (5-6 births/woman)
  • Similar to Sinitic (1500 CE: 5-6 vs 5-6 births/woman)
  • High fertility enables population growth
• Mortality Comparison:
  • Similar to other pre-modern civilizations (33-39 deaths/1,000)
  • Similar to Sinitic (1500 CE: 33-38 vs 32-38 deaths/1,000)
  • High mortality constrains population growth

Key Events

• 800-1000 CE: Srivijaya expansion period - Demographic structure balanced (36-37% under 15, 5% 65+), life expectancy 30-34 years, fertility 5-6 births/woman

• 1000-1200 CE: Srivijaya peak and Majapahit expansion - Demographic structure balanced (36-37% under 15, 5% 65+), life expectancy 30-34 years, continued development

• 1200-1400 CE: Majapahit expansion period - Demographic structure balanced (36-37% under 15, 5% 65+), life expectancy 30-34 years, trade network integration

• 1400-1500 CE: Melaka expansion period - Demographic structure balanced (36-37% under 15, 5% 65+), life expectancy 30-34 years, port polity coordination

• 1511 CE: Portuguese conquest of Melaka → portuguese conquest melaka 1511ce - Melaka fall, demographic disruption (post-period)

• Event-data integration: Demographic structure (36-37% under 15, 5% 65+, life expectancy 30-34 years, high mortality 33-39 deaths/1,000) reflects Srivijaya expansion (800-1000 CE), Majapahit expansion (1200-1400 CE), and Melaka expansion (1400-1500 CE), with maritime trade integration affecting disease transmission

• Demographic Transitions: No demographic transition during this period; stable high fertility and high mortality

• Regional Variation: Core regions (mainland, maritime) may have different demographic structure than periphery

• Urban vs. Rural: Urban populations (port cities) may have different demographic structure (higher mortality in cities) than rural populations

• Disease Impact: High mortality (33-39 deaths/1,000) indicates significant disease burden; maritime trade integration may affect disease transmission

• Maritime Trade Effects: Maritime trade network integration may affect disease transmission (Germs axis)

• Data needs: More detailed age structure data (5-year age groups), infant mortality rates, cause-specific mortality, regional demographic variation