Quantitative methods in social geography refer to the systematic use of mathematical, statistical, and computational techniques to collect, analyze, interpret, and present data related to human societies and their spatial organization. These methods help geographers identify patterns, relationships, and trends in social phenomena such as population distribution, migration, urbanization, literacy, health, employment, inequality, crime, and access to public services. By transforming qualitative observations into measurable variables, quantitative methods make geographical research more objective, reliable, and suitable for comparison across different regions and time periods. The development of quantitative methods in geography gained momentum during the quantitative revolution of the 1950s and 1960s. Researchers increasingly relied on statistical techniques to explain spatial patterns rather than merely describing them. Social geography adopted these methods to study how social groups are distributed across space and how various social, economic, cultural, and political factors influence human activities. The first step in quantitative research is data collection. Social geographers collect primary data through surveys, questionnaires, interviews with structured questions, observations, and field measurements. Secondary data are obtained from census reports, government publications, statistical abstracts, international organizations, satellite imagery, and digital databases. The quality and reliability of research largely depend on the accuracy and completeness of the collected data. Sampling techniques are essential because studying an entire population is often impractical. Random sampling ensures that every individual has an equal chance of selection. Stratified sampling divides the population into