Data card

Islamic Civilization Population Data 800-1200 CE

Population estimates for Islamic civilization during Abbasid Golden Age and expansion period (800-1200 CE), showing demographic expansion and urbanization.

Islamic

Data Summary

Population (800 CE): ~44 million
Population (1200 CE): ~59 million
Population density (1000 CE): ~10-15 people/km² (core regions)
Growth rate: ~0.3% annual growth (moderate)
Trend: Increasing (moderate growth with regional variation)
Confidence: Medium (estimates based on historical records and archaeological evidence)
Source: McEvedy & Jones 1978, Maddison Project 2020
Period: 800-1200 CE (Abbasid Golden Age through regional fragmentation)

Time Series Data

Year	Population (millions)	Population Density (people/km², core)	Source	Notes
800	44	8-12	McEvedy & Jones 1978	Abbasid Golden Age, population growth
900	48	9-13	McEvedy & Jones 1978	Abbasid peak, urbanization
1000	52	10-14	McEvedy & Jones 1978	Regional fragmentation begins
1100	55	10-15	McEvedy & Jones 1978	Regional dynasties, continued growth
1200	59	11-15	McEvedy & Jones 1978	Regional fragmentation, population expansion

Comparative Context

Regional average (Middle East/North Africa, 1000 CE): ~55 million
Global average (1000 CE): ~275 million
Ranking: 2nd-3rd largest population globally (800-1200 CE, after Sinitic)
% of world population (800 CE): ~16%
% of world population (1200 CE): ~18%
Comparison to Sinitic (1000 CE): ~0.88x (Sinitic ~59 million)
Comparison to Western/Atlantic (1000 CE): ~2.5x larger population
Population density comparison: Moderate density (10-15/km²) compared to Sinitic (17-22/km²)

Key Events

622 CE: Islamic Hijra → Islamic Hijra (622 CE) - Foundation of Islamic calendar, civilizational formation (demographic foundation)
750 CE: Abbasid Revolution → Abbasid Revolution (750 CE) - Caliphate transformation, Golden Age begins (population growth begins, 44M → 59M)
800-1000 CE: Abbasid Golden Age period - Population growth and urbanization (population 44M → 52M, growth rate 0.3% annual)
1000-1200 CE: Regional fragmentation period - Continued population growth despite fragmentation (population 52M → 59M, growth rate 0.3% annual)
1258 CE: Mongol sack of Baghdad → mongol sack baghdad 1258ce - Abbasid Caliphate end, major transformation (post-period demographic disruption)
Event-data integration: Population growth (44M → 59M) linked to Abbasid Revolution (750 CE), Golden Age (800-1000 CE), and regional fragmentation (1000-1200 CE), with moderate growth rate (0.3% annual) and urbanization

Total Population (millions, 800-1200)

Data table (5 points)

Year	Value	Source
800	44	McEvedy & Jones 1978
900	48	McEvedy & Jones 1978
1000	52	McEvedy & Jones 1978
1100	55	McEvedy & Jones 1978
1200	59	McEvedy & Jones 1978

About this entry

A draft entry preserved from civilization.study. Evidence grade: medium. 2 of 2 listed sources are fully documented; the rest are names only. Method and sources

Methodology Notes

Estimation method:
- McEvedy & Jones (1978) provides estimates based on historical records, archaeological settlement data, and demographic models
- Maddison Project provides population data aligned with GDP estimates
- Cross-validation using agricultural carrying capacity, urbanization data, and historical records
Data quality: Medium (historical records available for some periods, archaeological evidence for settlement size)
Uncertainty range: ±15-20% (regional variation, incomplete records)
Limitations:
- Historical records incomplete and may undercount population
- Regional variation within Islamic civilization not fully captured (Middle East, North Africa, Spain, Central Asia, India)
- Age structure, fertility, and mortality data limited
- Urban vs. rural population breakdown uncertain
Cross-validation:
- Agricultural carrying capacity (irrigation systems, crop yields, cultivated area)
- Urbanization data (Baghdad, Cordoba, Cairo, other major cities)
- Historical records (census, tax records, where available)

Integration with Corpus

Links to claims: Islamic Civilization as Trans-Regional Complex (supports GGS assessment)
Supports patterns:
- Guns–Germs–Style (GGS) Axes and Success/Failure Mechanisms (large population supports Style axis - administrative capacity, economic specialization; affects Germs axis - disease vulnerability)
- Disease Ecology and Civilizational Transformation (moderate population density, trade network connectivity affects disease transmission)
- Population Dynamics and Civilizational Capacity (population size and density affect civilizational capacity)
GGS implications:
- Style axis: Large population (44-59 million) requires and demonstrates institutional capacity (administrative coordination, resource management, social organization, trade network integration)
- Germs axis: Moderate population density (10-15/km²) with high connectivity (trade networks) affects disease vulnerability (epidemic risk, disease transmission)
- Economic capacity: Large population enables economic specialization and surplus generation
- Military capacity: Large population provides military potential (Guns axis), though demographic structure affects recruitment
Framework integration:
- CAD: Social domain, persistence/transformation mechanisms, Germs and Style frameworks
- Demographic patterns: Supports Demographic Patterns Across Civilizations with quantitative evidence
- Population dynamics: Quantitative evidence for Population Dynamics and Civilizational Capacity and Demography and Civilizational Dynamics

Notes

Demographic structure: Limited data on age structure, fertility, and mortality for this period
Population fluctuations:
- 800-1000 CE: Population growth (Abbasid expansion, urbanization, economic prosperity)
- 1000-1200 CE: Continued growth despite political fragmentation (regional dynasties maintain population)
Regional variation: Core regions (Middle East, North Africa) higher population density than periphery (Spain, Central Asia, India)
Urbanization: Significant urban population (estimated 15-20% in major cities - Baghdad, Cordoba, Cairo, Damascus)
Trade network effects: High connectivity through trade networks affects disease transmission (Germs axis)
Data needs: Age structure data, fertility/mortality rates, urban vs. rural breakdown, regional population distribution