First, focus on the center, grasp the key points, and carry out targeted statistical analysis of social insurance.
To carry out statistical analysis, we must first determine the analysis objectives, firmly grasp the issues that leaders and everyone care about, grasp the new situation, new problems and new experiences in the reform, grasp the problems with signs, tendencies, suddenness and trends in social insurance practice, focus on the work of social insurance centers, make full use of statistical data for comprehensive analysis, and put forward policy measures and suggestions. In the analysis, we should try our best to closely combine the social insurance work with the development and change of the social and economic situation, look at their internal relations from the relationship and development and change of social insurance and related social and economic indicators, and evaluate and judge the social insurance cause and basic situation with the fastest speed, brand-new content and authoritative figures from the statistical point of view, reflecting key work and hot issues. At the same time, efforts should be made on "four innovations", namely "grasping new features, judging new situations, predicting new trends and putting forward new suggestions", so as to improve the ability of accurate judgment and prediction of social insurance and achieve better results.
In our daily work, according to the characteristics of social insurance business in the whole province, we have established a social insurance statistical analysis index system. Taking the basic old-age insurance as an example, this paper focuses on six aspects. (1) Analysis of coverage of basic old-age insurance. Including the basic old-age insurance registration number, the number of participants, the number of accounts established, the actual payment number, the number of people who plan to expand, the actual number of people who expand, the degree of completion of the plan, the growth rate of the number of participants, the account establishment rate and other analysis indicators; (2) Analysis of the burden of basic old-age insurance. Including the number of retirees who participate in the basic old-age insurance, the number of retirees who are socialized to issue pensions, the growth rate of retirees, the social distribution rate of pensions, the growth rate of retirees, the average burden coefficient, and the average replacement rate. (3) Analysis of the collection and payment of the basic endowment insurance fund. Including the monthly per capita payment base, the monthly per capita payment base growth rate, the ratio of the monthly per capita payment base to the average wage of employees in the province, the old-age insurance premiums that should be paid and paid, the unpaid old-age insurance premiums, the basic old-age insurance premiums that have not been paid over the years and their growth rate, and the collection rate; (4) Analysis of basic endowment insurance fund expenditure. Including monthly per capita pension, pension growth rate, payable and paid pensions, reissued pensions, historical arrears of pensions, payment rate, etc. (5) Analysis of the balance of the basic old-age insurance fund. Including the current balance of income and expenditure, the cumulative balance and growth rate over the years, the number of months that the cumulative balance can be paid over the years, the actual account size of personal accounts, the size of empty accounts and the number of months that can be paid; (6) Analysis of socialized management services for enterprise retirees. Number of enterprise retirees, number of socialized managers, service rate of socialized management, number of participants in community management, community management rate, etc.
Two, extensive collection, scientific collation, careful analysis of statistical data.
The outstanding feature of statistical analysis is to analyze problems from statistical data and quantitative analysis, and to analyze and judge things. Statistical analysis is a deep processing based on a large amount of data, from which problems are found, contradictions are found, reasons are analyzed, and laws are studied, so as to reveal the essence of problems and realize the sublimation from quantity to quality. Social insurance is a very important aspect of social and economic life. There is a very close relationship between social insurance statistical indicators and social economic indicators, and there is also a certain correlation between social insurance statistical indicators. This requires our statisticians to pay attention to collecting and sorting out all kinds of statistical data related to social insurance in social and economic life, not only to collect relevant information from other offices in the labor security system, but also to collect relevant information from finance, statistics, taxation and other departments outside the labor security system and apply it to statistical analysis. For example, to analyze the collection and payment of old-age insurance premiums, it is necessary to collect and analyze the number of employees participating in the basic old-age insurance, the total amount of payment wages, the payment rate, the monthly per capita payment base, the average wage level of employees, and the statistical reports of labor wages, so as to analyze whether the old-age insurance premiums should be paid in full, and whether the payment units have lied, concealed or omitted the number of contributors and payment wages.
In statistical analysis, we should also pay attention to mastering and applying scientific statistical analysis methods. For example, average analysis, structural analysis, dynamic analysis, factor analysis, trend analysis and so on. Comparative method is a basic analysis method of statistical analysis. Compared with the plan, the previous period (including the previous period and the same period of last year) and related indicators, we can understand the statistical data, analyze the data and select the data from multiple angles in order to achieve the purpose of research and then draw our own views.
Three, grasp the principle, overall consideration, establish a correct statistical concept.
To achieve the expected results and fruitful statistical analysis, we must pay attention to solving the following problems. (1) Statistical analysis should be guided by Marxism and Deng Xiaoping Theory, and problems should be observed and analyzed according to dialectics and historical materialism. In statistical analysis, we should adhere to the viewpoint of seeking truth from facts, comprehensive viewpoint and development viewpoint, gain insight into problems from the development and changes of things, and analyze problems from the interdependence and mutual restriction of phenomena and things, which cannot be taken for granted. (2) Adhere to the principle of seeking truth from facts. Seeking truth from facts is the basis of statistical analysis. First of all, the situation should be true and the figures should be accurate. Accuracy is the lifeline of statistics. Secondly, we should respect the objective reality, prevent subjective assumptions, and avoid taking things for granted and relying on impressions. Third, tell the truth, tell the truth, one is one, the other is two, don't go with the flow. (3) Adhere to the overall view. (4) Adhere to the principle of unity of quantitative change and qualitative change. Do the organic combination of numbers and situations, arguments and arguments. (5) take the principles and policies of the party and the state as the criterion. Checking and supervising the implementation of policies and guidelines is one of the important tasks of statistical work. This requires us to do a good job in statistical analysis, provided that we have a thorough understanding of national and provincial policies and regulations on social insurance.
Four, make full use of service decision, and strive to improve the statistical ability and level.
The ultimate goal of statistical work is to make full use of statistical information resources and provide services for leadership decision-making. Statistical information resources include various statistical reports, financial and insurance project databases and statistical data of relevant departments. Through statistical analysis, statistical data are screened, classified and processed to form a large number of information resources that can be used for work. On the one hand, it can be directly applied to work practice, making use of statistical information resources to formulate social insurance expansion plans, social insurance fund revenue and expenditure budgets, personal account accounting, and making provincial-level overall fund adjustment plans, etc. On the other hand, the social insurance is predicted, and the development and changes of social insurance are predicted and analyzed to judge the situation and development of social insurance. For example, analyze the ability of socialized pension distribution and the affordability of pension funds, establish a prediction and early warning analysis system of pension funds, and play a role in prediction and early warning. Making full use of statistical information resources, in turn, requires improving the accuracy of statistical summary and analysis, further improving the quality of statistical work, and making statistical work enter the benign development track of "statistics-analysis-decision".
Further reading: How to buy insurance, which is good, and teach you how to avoid these "pits" of insurance.