Sinitic/East Asian Demographic Structure 1000-1500 CE

Demographic structure data (age structure, life expectancy, fertility, mortality) for Sinitic civilization during Song-Yuan-Ming period (1000-1500 CE), showing high fertility, high mortality, and balanced age structure.

Sinitic / East Asian

Data Summary

• Age Structure (1000 CE): ~35% under 15, ~60% 15-64, ~5% 65+ (balanced, high youth proportion)
• Age Structure (1500 CE): ~38% under 15, ~58% 15-64, ~4% 65+ (balanced, high youth proportion)
• Life Expectancy (1000 CE): ~30-35 years at birth
• Life Expectancy (1500 CE): ~32-37 years at birth
• Fertility Rate (1000 CE): ~5-6 births per woman
• Fertility Rate (1500 CE): ~5-6 births per woman
• Mortality Rate (1000 CE): ~35-40 deaths per 1,000 population
• Mortality Rate (1500 CE): ~32-38 deaths per 1,000 population
• Trend: Stable demographic structure with high fertility and high mortality
• Confidence: Medium (limited historical records, archaeological evidence, expert assessments)
• Source: McEvedy & Jones 1978, expert assessments, archaeological skeletal analysis
• Period: 1000-1500 CE (Song Dynasty through Yuan to Ming)

Time Series Data

Age Distribution

• Youth (0-14): 35-38% of population (high youth proportion, balanced structure)
• Working Age (15-64): 57-61% of population (moderate-high, supports economic capacity)
• Elderly (65+): 4-5% of population (low, typical for pre-modern civilizations)

Age Structure Implications

• Military Capacity: High youth proportion (35-38%) provides large military recruitment pool (Guns axis)
• Economic Capacity: Moderate-high working age (57-61%) supports economic productivity and specialization
• Dependency Ratio: Moderate dependency (youth + elderly = 39-42%), manageable for economic capacity
• Population Growth: High fertility (5-6 births/woman) with high mortality (32-40 deaths/1,000) enables moderate population growth

Life Expectancy Trends

• 1000 CE: 30-35 years at birth (moderate for pre-modern civilization)
• 1500 CE: 32-37 years at birth (slight improvement, moderate for pre-modern civilization)
• Trend: Stable to slight improvement (improved agricultural productivity, disease management)

Life Expectancy Implications

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

Fertility Trends

• 1000 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 (35-38%)
• Economic Impact: High fertility creates dependency but also future labor force

Mortality Trends

• 1000 CE: 35-40 deaths per 1,000 population (high mortality, typical for pre-modern civilizations)
• 1500 CE: 32-38 deaths per 1,000 population (high mortality, slight improvement)
• Trend: Stable high mortality with slight improvement (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 (30-37 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)
  • Higher youth proportion than Western/Atlantic (1500 CE: 38% vs 35%)
  • Balanced structure supports economic and military capacity
• Life Expectancy Comparison:
  • Similar to other pre-modern civilizations (30-37 years)
  • Lower than Western/Atlantic (1500 CE: 32-37 vs 35-40 years)
  • Moderate for pre-modern standards
• Fertility Comparison:
  • Similar to other pre-modern civilizations (5-6 births/woman)
  • Higher than Western/Atlantic (1500 CE: 5-6 vs 4-5 births/woman)
  • High fertility enables population growth
• Mortality Comparison:
  • Similar to other pre-modern civilizations (32-40 deaths/1,000)
  • Higher than Western/Atlantic (1500 CE: 32-38 vs 30-35 deaths/1,000)
  • High mortality constrains population growth

Key Events

• 960 CE: Song Dynasty founded → Song Dynasty (960 CE) - Population recovery, demographic structure balanced (35-38% under 15, 4-5% 65+)

• 1127 CE: Jurchen conquest of Northern Song → jurchen conquest 1127ce - Population displacement, demographic disruption

• 1200s CE: Mongol invasions → mongol invasions 1200s - Major population decline, demographic disruption (mortality increase, life expectancy decline)

• 1368 CE: Ming Dynasty founded → Ming Dynasty (1368 CE) - Population recovery, demographic structure balanced (35-38% under 15, 4-5% 65+)

• Event-data integration: Demographic structure (35-38% under 15, 4-5% 65+, life expectancy 30-37 years) reflects Song Dynasty (960 CE), Mongol invasions (1200s CE), and Ming Dynasty (1368 CE), with stable high fertility and high mortality throughout

• Demographic Structure: Balanced age structure with high youth proportion (35-38%) and low elderly (4-5%), typical for pre-modern civilizations

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

• Regional Variation: Core regions (Yellow/Yangtze basins) may have different demographic structure than periphery

• Urban vs. Rural: Urban populations may have different demographic structure (lower fertility, higher mortality) than rural populations

• Disease Impact: High mortality (32-40 deaths/1,000) indicates significant disease burden; epidemics may cause temporary demographic disruptions

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