What type of data can be used to analyze the proportion of hospital visits from a given population?

Census data is the correct type of data to analyze the proportion of hospital visits from a given population because it provides comprehensive demographic information about an entire population within a specified area. This data typically includes details such as age, sex, income level, and education, which are essential to calculate the user rates of hospital services accurately.

When analyzing hospital visit proportions, researchers need a reference population to compare against the number of visits. Census data offers a clear picture of the overall population size and demographic breakdown, allowing for appropriate calculations of percentages and ratios related to healthcare access and utilization.

The other types of data mentioned do not provide the necessary demographic scope. Control group data is usually specific to experimental research and doesn't encompass the wider population. Peer data typically refers to data shared among similar healthcare entities or professionals without necessarily reflecting the broader community. Vital statistics data, while important for understanding births, deaths, and health-related factors, may not provide the comprehensive demographic coverage needed to analyze hospital visit proportions effectively.