1, planned completion relative number: planned completion relative number = {(actual completion data)/[planned (quota) data]} *100%;

2. Structural relative number: structural relative number = sum of cases of a component/case of each component ×100 (3.2);

3. Proportional relative number: Proportional relative number = some part of the population/another part of the population;

4. Comparative relative number: comparative relative number (%)= A certain phenomenon level (unit) in area A/similar phenomenon level (unit) in area B×100% or = one group (part) of the whole/another group (part) of the whole×100%;

5. Dynamic relative number: dynamic relative number = (reporting period level/base period level) ╳100%;

6. Relative strength: relative strength = the number of occurrences of a phenomenon/the total number of possible occurrences of a phenomenon × 100℅ (or 1000‰).

The role of statistical relative indicators:

1. Relative indicators can show the degree of correlation and development of things through the comparison between quantity and quantity, and can make up for the deficiency of total indicators, so that people can clearly understand the relative level and universality of phenomena. For example, an enterprise can achieve profits of 500,000 yuan and 550,000 yuan, and the profit increase of 10% cannot be explained by the total index.

2, abstract the absolute difference of the phenomenon, so that the indicators that could not be directly compared can be compared. Because different enterprises have different production scale conditions, it is of little significance to compare and evaluate the total output value and profit directly. However, if we compare some relative indicators, such as capital profit rate and capital output rate, we can make a reasonable evaluation of the production and operation results of enterprises.

3. Explain the internal structural characteristics of the whole, and provide a basis for in-depth analysis of the nature of things. For example, calculating the structure of different economic types in a region can explain the nature of the economy in this region. Another example is to calculate the proportion of primary, secondary and tertiary industries in a region, which can explain the degree of social and economic modernization in this region.