When comparing statistics, what term refers to analyzing data such as average sale price by specific categories like neighborhoods?

The term that best fits the description of analyzing data, such as average sale price by specific categories like neighborhoods, is stratification. Stratification involves dividing a larger data set into smaller, more manageable sub-groups based on shared characteristics, such as different neighborhoods in a city. This approach allows for a more nuanced understanding of the data, enabling analysts to identify trends and differences among various categories.

In contrast, the other terms, while related to data analysis, do not specifically capture the organized breakdown of data by categories in the same way. Breakdown typically refers to the process of dividing data into smaller components, but it does not inherently imply the use of specific categories for analysis. Aggregates involve summarizing data into a single value, which lacks the specificity required for comparative analysis. Segmentation is a broader concept often used in marketing to categorize consumers or audiences but does not necessarily imply the stratified analysis of data for comparative purposes.

Thus, stratification is the most accurate term for analyzing average sale price by neighborhoods, as it reflects the process of categorizing and comparing data based on distinct groups.