To calculate the analysis of the statistical distribution of the population in terms of average per capita cash income, it is necessary to close the first and last intervals and compile an auxiliary table, where:
Table 6 - Distribution of the population by average per capita cash income (percentage)
Figure 2.7 - Distribution of the population in the Russian Federation by average per capita cash income in 2013
As can be seen from the presented data, the largest number 31.3% of the population have an average per capita income per month of more than 25 thousand rubles. This is followed by a group with an income level of 15 thousand rubles. up to 25 thousand rubles (28.8%) and closes the top three group of the population of the district with an income of 10 thousand rubles. up to 15 thousand rubles (20.0%).
Table 7 - Auxiliary table
Figure 2.8 - Cumulative population distribution by average per capita income
Based on the data of the auxiliary table, the mode is 25.74 thousand rubles. a modal interval (25,000 rubles to 35,000 rubles) was chosen for the calculation, since it has the highest frequency (31.3%). Thus, the most common value of the average per capita income in the variation series is 25,740 rubles.
1.3) Median
For the calculation, a median interval was chosen, in which the sum of the accumulated frequencies is more than 50% (from 15,000 rubles to 25,000 rubles). Consequently, half of the inhabitants of the Russian Federation have a monthly average per capita income of less than 21,493.1 rubles, and half of them are more than this amount.
weighted:
2.3) Standard deviation
weighted:
2.4) Dispersion
weighted:
2.5) Coefficient of variation
significant asymmetry, right-sided
1) Define the decile coefficient of differentiation
To determine the decile value of the income differentiation of the population of the Russian Federation, it is necessary to calculate the upper and lower deciles.
4.1) Bottom decile
Approximately 10% of the population of the Russian Federation in 2013 had a salary of less than 7353.8 rubles.
4.2) Top decile
income population expenses
Approximately 10% of the population of the Russian Federation in 2013 had a salary of more than 31,805.1 rubles.
4.3) Decile coefficient of differentiation
In 2013, the minimum monthly average per capita income of the top 10% of the population exceeds maximum income 10% of the poorest population by 4.3 times.
Modal income is the most common income among the population. This indicator is determined by the formula:
Where is the lower limit of the modal interval; - interval value; - modal interval frequency; - frequency preceding the modal interval; - frequency of postmodal interval.
Median income is the income characterizing that half of the population has an income below the median, and half of the population has an income above the median.
(37)
Where is the lower limit of the median interval; - the value of the median interval; - the sum of all frequencies; - frequency of the median interval; - accumulated frequency of the pre-median interval.
The fund ratio is the ratio between the average incomes of the richest 10% of the population and the poorest 10% of the country's population, i.e. the ratio of income in the tenth and first decile groups.
The Gini income concentration coefficient characterizes the degree of inequality in the distribution of incomes of the country's population and is calculated by the formula:
Where - the share of the population with an income higher than its maximum level in the 1st group, i.e. growing share of the population; - Increasing share of income of the population.
The Gini coefficient varies from 0 to 1. The closer it is to 1, the higher the stratification of society by income, i.e. most of the income is concentrated in a small group of the population.
Population distribution by average per capita money income in Chuvash Republic presented in table 47.
Table 47
cash income (percentage)
| Indicators | years | |||||||||
| All population | ||||||||||
| including those with average per capita cash income, rubles per month | ||||||||||
| up to 1000.0 | 51,7 | 30,4 | 16,3 | 8,1 | 5,6 | 2,6 | 1,1 | 0,5 | 0,2 | 0,1 |
| 1000,1-1500,0 | 26,3 | 28,1 | 22,9 | 15,5 | 12,1 | 7,4 | 3,8 | 2,0 | 0,9 | 0,6 |
| 1500,1-2000,0 | 12,2 | 18,3 | 19,8 | 17,1 | 14,7 | 11,0 | 6,4 | 3,8 | 2,0 | 1,5 |
| 2000,1-3000,0 | 7,7 | 16,0 | 23,5 | 26,5 | 25,8 | 23,5 | 16,7 | 11,8 | 7,4 | 5,9 |
| 3000,1-4000,0 | 1,6 | 4,8 | 10,0 | 15,2 | 16,9 | 18,6 | 16,5 | 13,7 | 10,1 | 8,6 |
| 4000,1-5000,0 | 0,3 | 1,5 | 4,1 | 8,0 | 10,0 | 12,8 | 13,7 | 12,9 | 10,8 | 9,8 |
| 5000,1-7000,0 | 0,1 | 0,7 | 2,6 | 6,5 | 9,3 | 13,7 | 18,5 | 20,2 | 19,5 | 18,7 |
| 7000,1-12000,0 1) | 0,1 | 0,2 | 0,8 | 2,8 | 4,9 | 8,8 | 17,4 | 23,7 | 28,9 | 30,3 |
| over 12000.0 | - | - | - | 0,3 | 0,7 | 1,6 | 5,9 | 11,4 | 20,2 | 24,5 |
1) 2000 - 2002 - over 7000 rubles.
Based on the data presented above, we will construct an auxiliary table 48 and calculate a number of indicators characterizing the differentiation of household incomes in 2000.
Table 48 - Auxiliary table
| Average per capita income per month, rub. | The share of the population to the total, | The middle of the interval | Increasing population frequencies, | Share of income to total | Increasing share of income | |||
| up to 1000.0 | 0,517 | 0,517 | 258,500 | 0,240 | 0,240 | 0,282 | 0,187 | |
| 1000,1-1500,0 | 0,263 | 0,78 | 328,750 | 0,305 | 0,545 | 0,579 | 0,491 | |
| 1500,1-2000,0 | 0,122 | 0,902 | 213,500 | 0,198 | 0,743 | 0,831 | 0,727 | |
| 2000,1-3000,0 | 0,077 | 0,979 | 192,500 | 0,179 | 0,921 | 0,953 | 0,917 | |
| 3000,1-4000,0 | 0,016 | 0,995 | 56,000 | 0,052 | 0,973 | 0,981 | 0,971 | |
| 4000,1-5000,0 | 0,003 | 0,998 | 13,500 | 0,013 | 0,986 | 0,989 | 0,985 | |
| 5000,1-7000,0 | 0,001 | 0,999 | 6,000 | 0,006 | 0,991 | 0,999 | 0,991 | |
| 7000,1-12000,0 2) | 0,001 | 9,500 | 0,009 | 1,000 | 1,000 | 1,000 | ||
| over 12000.0 | 0,000 | 0,000 | 1,000 | 0,000 | 0,000 | |||
| Total | 1078,250 | 1,000 | 6,613 | 6,269 |
Solution.
1. Calculate the average per capita income per month:
2. Modal income:
3. Median income:
4. Average incomes in decile groups.
Bottom decile (lowest income):
Top decile (highest income):
5. Funds ratio:
Consequently, in 2000, the average incomes of the top 10% of people had incomes that were 10.3 times higher than those of the poorest people.
6. Gini income coefficient:
Order of definition quantities living wage and his appointment are regulated by the Federal Law of October 24, 1997 No. 134-FZ “On the subsistence minimum in the Russian Federation”. According to the Law, the subsistence minimum is valuation consumer basket, as well as mandatory payments and fees.
The consumer basket includes the minimum sets of food products, non-food products and services necessary to maintain human health and ensure its vital activity.
The consumer basket is being developed both in Russia as a whole and in the constituent entities of the Russian Federation for three socio-demographic groups of the population: the working population, pensioners and children. In general, in Russia, it is established federal law, and in the constituent entities of the Russian Federation - by legislative acts of the constituent entities of the Russian Federation.
Set of food included in consumer basket, includes: bread products, potatoes, vegetables and melons, fresh fruits, sugar and confectionery, meat products, fish products, milk and dairy products, eggs, vegetable oil, margarine and other fats, other products (salt, tea, spices).
When forming the minimum set of food products, the norms of physiological needs for nutrients for the working-age population, pensioners and children, as well as the recommendations of the World Health Organization, are used.
The set of non-food items included in the consumer basket includes personal goods (clothes, shoes, school supplies) and general family use goods (bed linen, cultural, household and household goods, essentials, sanitation and medicines).
Distribution of the population by average per capita cash income
Income policy. Lorenz curve. Gini index
This requires the transformation of the problem of combating poverty into one of the priorities of the state in present stage socio-economic development.
The main task of the social oriented economy , the creation of which is proclaimed in our country, is to achieve human well-being.
welfare- ϶ᴛᴏ provision of the population with material and spiritual benefits necessary for life.
Income (income) - monetary resources received by the subject as a result of the distribution of ND, which are used by the subject for needs.To assess the level and dynamics of income received, indicators are used nominal and real income.
Nominal income - this is amount money received in a certain period individual(GP, income from capital, transfer payments).
Real income - it is the amount of goods and services that can be purchased at prevailing prices on disposable income in a given period of time.
Household income - a set of receipts in cash and in kind received by a person, family, household from various sources during a certain period of time (month, year), spent on consumption, accumulation, payment of taxes, other fees and payments.
Transfer payments - various gratuitous payments to the population from public funds, in particular pensions, scholarships, and various social benefits.
Composition of money income of the population (in (%)
| Cash income - total | |||||||||||||
| including: | |||||||||||||
| Salary | 83,3 | 79,8 | 76,4 | 62,8 | 62,8 | 64,6 | 65,8 | 63,9 | 65,0 | 63,6 | 64,9 | 70,4 | |
| Income from entrepreneurial activity | 2,5 | 2,2 | 3,7 | 16,4 | 15,4 | 12,6 | 11,9 | 12,0 | 11,7 | 11,4 | 11,1 | 10,0 | |
| Social payments | 12,6 | 15,1 | 14,7 | 13,1 | 13,8 | 15,2 | 15,2 | 14,1 | 12,8 | 12,7 | 12,0 | 10,9 | |
| Property income | 0,6 | 1,3 | 2,5 | 6,5 | 6,8 | 5,7 | 5,2 | 7,8 | 8,3 | 10,3 | 10,0 | 6,7 | |
| Other income | 1,0 | 1,6 | 2,7 | 1,2 | 1,2 | 1,9 | 1,9 | 2,2 | 2,2 | 2,0 | 2,0 | 1,9 | |
Income policy- the policy of controlling inflationary processes by limiting growth wages and other types of income.
Public policy income consists in redistributing them through the state budget through differentiated taxation of various groups of income recipients and social benefits.
State income policy is integral part social policy and is aimed at solving two main tasks:
1) Providing direct assistance to the most vulnerable segments of the population through the social security system;
2) Neutralization of the inflationary depreciation of incomes and savings of the population.
| All population | ||||
| including with average per capita cash income per month, rub.: | ||||
| up to 2000.0 | 12,3 | 7,1 | 4,3 | 2,6 |
| 2000,1 - 4000,0 | 28,1 | 21,9 | 16,2 | 11,9 |
| 4000,1 - 6000,0 | 21,1 | 20,3 | 17,7 | 14,9 |
| 6000,1 - 8000,0 | 13,4 | 14,8 | 14,7 | 13,6 |
| 8000,1 - 10000,0 | 8,4 | 10,3 | 11,2 | 11,3 |
| 10000,1 - 15000,0 | 10,0 | 13,9 | 17,1 | 19,1 |
| 15000,1 - 25000,0 | 5,2 | 8,6 | 12,7 | 16,5 |
| over 25000.0 | 1,5 | 3,1 | 6,1 | 10,1 |
A number of methods are used in practice to measure the degree of inequality in society, and one of the most famous is considered Lorenz curve graphically representing information about the distribution of income of various groups of the population.
Lorenz curve - a curve showing what part of the country's total money income each share of low-income and high-income families receives, that is, it reflects in % the distribution of income between families with different incomes.
Max Otto Lorenz(1876-1959) American economist.
| Income (%) 100 ●C 80 Absolute equality Actual 60 distribution income 40 Absolute 20 inequality B 0● ● Population (%) 20 40 60 80 100 Lorenz curve. |
Lorenz curve shows uneven distribution total income society between different population groups.
Pre-tax Lorenz curve
20 and accounting for transfer payments
0 Population (%)
A quantitative indicator of the level of uneven distribution of income is Gini coefficient, or concentration factor.
Corrado Gini(1884-1965) - Italian statistician and demographer.
Gini coefficient (income concentration index) - characterizes the degree of deviation of the line of the actual distribution of the total income of the population from the line of their uniform distribution.
The value of the Gini coefficient may vary from 0 before 1, at the same time, the higher the value of the indicator, the more unevenly the distribution of income in society.
It is defined as the ratio of the area between the Lorentz curve and the diagonal to the area of the triangle OBC, ᴛ.ᴇ. establishes the degree of deviation of the actual distribution of income from the uniform.
| Gini coefficient (income concentration index) | 0,387 | 0,395 | 0,397 | 0,397 | 0,403 | 0,409 | 0,406 | 0,410 | 0,415 |
Benefits of the Gini coefficient:
‣‣‣ Allows you to compare the distribution of a trait in populations with different numbers of units (eg: regions with different populations).
‣‣‣ Complements data on GDP and per capita income. It serves as a kind of correction for these indicators.
‣‣‣ Can be used to compare the distribution of a trait (income) between different populations (e.g.: different countries). At the same time, there is no dependence on the scale of the economy of the compared countries.
‣‣‣ Can be used to compare the distribution of a trait (income) across different population groups (eg: Gini coefficient for rural population and Gini coefficient for urban population).
‣‣‣ Allows you to track the dynamics of the uneven distribution of a sign (income) in the aggregate at different stages.
‣‣‣ Anonymity is one of the main advantages of the Gini coefficient. It is not essential to know who has what incomes personally.
Disadvantages of the Gini coefficient:
‣‣‣ Quite often, the Gini coefficient is given without a description of the grouping of the population, that is, often there is no information about exactly which quantiles the population is divided into. So, the more groups the same population is divided into (more quantiles), the higher the value of the Gini coefficient for it.
‣‣‣ The Gini coefficient does not take into account the source of income, that is, for localization (country, region, etc.), the Gini coefficient should be quite low, but at the same time, some part of the population provides their income through overwork, and the other - at the expense of property. For example, in Sweden the value of the Gini coefficient is quite low, but only 5% of households own 77% of the shares of the total number of shares owned by all households. This provides the 5% income that the rest of the population receives through labor.
Efficiency E Fig. Reforming the Russian economy.
The distribution of the population by the size of per capita cash income - the concept and types. Classification and features of the category "Distribution of the population by average per capita cash income" 2017, 2018.
| Average per capita cash income | Total income. | |||||
| , rub. | in % of the total | |||||
| All population, % | ||||||
| Including with average per capita cash income per month, rub. | ||||||
| up to 400 | 15,1 | 15,1 | 4,9 | 4,9 | ||
| 400,1-600 | 19,0 | 34.1 | 10.2 | 15,1, | ||
| 600.1-800 | 17,2 | 51,3 | 12,9 | 28,0 | ||
| 800,1-1000 | 13,3 | 64,6 | 12,9 | 40,9 | ||
| 1000,1-1200 | 9.8 | 74,4 | 11,6 | 52.5 | ||
| 1200.1-1600 | 12,0 | 86,4 | 18.0 | 70.5 | ||
| 1600,1-2000 | 6.1 | 92,5 | 11.8 | 82.3 | ||
| over 2000 | 7,5 | 17,7 | ||||
| Note. . Source. Russian statistical yearbook. 1999: Statistical compendium. -M.: Goskomstat of Russia, 1999. - S. 155. |
where - i-th decile;
Decile number, (nine deciles are calculated); - lower limit of the interval , containing
i-th decile (determined by accumulated frequencies);
The value of the income interval;
- coefficient corresponding to the decile number: for for , at ;
Population size (total population);
Accumulated frequency in the interval preceding the interval containing the i-th decile;
The frequency of the interval containing the i-th decile.
Based on the data in Table. 5.7 the first decile is located in the first interval
First decile RUB 332.55 characterizes the maximum income of 10% of the least wealthy population. The ninth decile, located in the penultimate interval,
characterizes minimum income 10% of the wealthiest population.
Income differentiation coefficient (decile) =
showing that the minimum income of the top 10% of the population is 5.5 times higher than the maximum income of the bottom 10% of the population,
The coefficient of funds (the ratio between the average values of income within the compared extreme decile groups of the population or their shares in total income) is calculated from ungrouped data.
Flaw decile coefficient The differentiation and coefficient of funds consists in the partial use of information on the distribution of the population by income only within the extreme decile groups. To study the differentiation of income throughout the distributions, the population is regrouped into quintile groups, uniting 20% of the population each. For each selected group, the share in total income is calculated.
Let's use an example to calculate quintiles (K), dividing the population into five equal parts (four quintiles):
characterizes the maximum income of 20% of the poor
characterize the minimum income of 20% of the wealthiest population. The values of the quintiles show the boundaries of the intervals, each of which contains 20% of the population. Within the same boundaries, the accumulated frequencies of total income are calculated:
20% of the poorest population have such a share of total income;
accumulated frequency - such a share of the total monetary before 40% of the population with low incomes have access;
The given calculations of quintiles and the accumulated frequency of monetary income will be presented in Table. 5.8.
Based on the data obtained, income differentiation is most clearly reflected: 20% of the poor population have 7.8% of the total monetary income of society, and 20% of the rich population - 39.1% of the total monetary income.
Differentiation indicators summarizing the entire income distribution of the population include the Lorentz and Gini income concentration coefficients. They refer to the scoring system known as the Pareto-Lorenz-Gini methodology, which is widely used in foreign social statistics. The Italian economist and sociologist V. Pareto (1848-1923) summarized the data of some countries and found that there is an inverse relationship between the level of income and the number of their recipients, called the Pareto Law. The American statistician and economist O. Lorenz (1876-1959) developed this law by proposing its graphic representation in the form of a curve called the "Lorenz curve" (Fig. 5.2).
Table5.8
Distribution of money income by 20% to population groups
| Population quintile | to the end | Accumulated frequency of money income  | Share of income to total | ||
| total cash income | 1.0 | 1,000 | 0,200 | 0,4492 | |
| Including for 20% population groups: | |||||
| The first group (with the lowest incomes) | 0.2 | 0,078 | 0,0156 | 0.01 | |
| Second group | 0,2 | 0.195 | 0,117 | 0.0234 | 0.0390 |
| Third group | 0,2 | 0,364 | 0,169 | 0.0338 | 0,0728 |
| Fourth group | 0.2 | 0.609 | 0,245 | 0,0490 | 0,1218 |
| Fifth group | 0,2 | 1,000 | 0,391 | 0,0782 | 0,2000 |
The Lorentz curve is a group concentration curve. On the Lorenz graph, in the case of a uniform distribution of income, the pairwise shares of the population and income should coincide and be located on the diagonal of the square, which means the complete absence of income concentration. The straight line segments connecting the points corresponding to the accumulated frequencies and increasing percentages of income form a broken line of concentration (the Lorenz curve). The more this line differs from the diagonal (the greater its concavity), the greater the uneven distribution of income, respectively, the higher its concentration.
Obviously, in specific cases, neither absolute equality nor absolute inequality in the distribution of income among the population can be expected. Absolute inequality is that hypothetical case when the entire population, with the exception of one person (one family), has no income, and this one (one family) receives all the income.
Rice. 5.2. Lorenz curve
An example of plotting a Lorentz graph:
cumulative population frequency (abscissa) - 0.20.40.60.80.100;
accumulated income frequency (y-axis): with absolute equality - 0, 20, 40, 60.80, 100;
with absolute inequality - along the y-axis should be 0,0,0,0.0, 100; actually turned out to be 8; twenty; 36; 61; 100.
Lorentz Coefficient as a Relative Characteristic and Equity in Income Distribution
where is the share of income concentrated at i-th social population groups;
The share of the population belonging to the i-th social group in the total population;
Number of social groups.
Extreme values of the Lorenz coefficient: in the case of complete equality in the distribution of income; - with complete inequality.
According to Table. 5.8 Lorentz coefficient
i.e., the distribution of income is close to uniform.
Relative inequality in the distribution of income may be indicated by the share of the area of deviation from a uniform distribution (absolute equality, i.e., the area of the segment formed by the Lorentz curve and the diagonal of the square, in half the area of this square).
where is the cumulative share of income.
The coefficient G varies in the range from 0 to 1. The closer the value is to 1, the higher the level of inequality (concentration) in the distribution of total income; the closer it is to 0, the higher the level of equality. You can calculate the coefficient according to Table. 5.8
The Gini coefficient for Russia was: in 1992 - 0.289; in 1993 - 0.398; in 1994 - 0.409; in 1995 - 0.381; in 1998 - 0.379. General increase coefficient for 1992 - 1998 indicates an increase in inequality in the distribution of total income in society.
Another measure of income differentiation, in a broader sense - and social inequality, was proposed in 1970 by the British economist A. Atkinson and in modern economic literature was called the Atkinson index. The Atkinson index is based on the concept of equivalent income, i.e., the smallest aggregate per capita income, which, with a uniform distribution of income, would lead to the same amount of social welfare as with the existing income inequality. Public welfare, in turn, is defined as the sum of the individual utilities of the members of society:
where are individual utility functions, which in the Atkinson index depend only on the individual's income and are the ratios:
(here - income i-th individual: - constant).
When constructing the Atkinson index, such categories as social welfare and utility functions are taken into account, which makes it possible to interpret this indicator as a measure of social inequality. However, the fact that individual utility functions depend only on income leads to the fact that in empirical calculations social inequality is essentially reduced to income inequality.
In accordance with the definition of equivalent income, we have:
Hence (taking into account the type of individual utility function)
The Atkinson index is defined as
where is the average per capita income.
The term, which is subtracted from 1 in this index, characterizes the share of the equivalent level of income in the average per capita income. In other words, this term shows what proportion of the total income is income, the uniform distribution of which among all members of society would make it possible to achieve the level of well-being existing in society. In the last formula, this term is a power-law weighted average of the income shares of each group in the average income. Since the distribution series of the population by income level usually have a right-sided asymmetry, the largest specific gravity distributions will have shares in the series, as a result of which the average share will also be less than 1. With complete equality of incomes, all ratios would be equal to 1, and the Atkinson index would be equal to 0. So, the Atkinson index is a relative (in shares of total wealth) expression of that price , which society pays for the existing level of social inequality.
The main disadvantage of the Atkinson index is that it is not easy enough to set the parameter value, and it is impossible to find an unambiguous (let alone formalized) solution to this problem. With this parameter, the Atkinson index allows to take into account the significance for society of inequality in the distribution of social wealth. If society is absolutely indifferent to existing inequality, then e= 0. In this case, the value of the Atkinson index is also equal to 0, since the average share of the income of each group in the average per capita income is calculated using the weighted arithmetic mean formula and takes the value 1. If, on the contrary, society is concerned about the only problem - social inequality, the parameter e tends to infinity. In accordance with the rule of majorance of averages, with the growth of e (ceteris paribus), the average share of the income of each group in the average per capita income will also decrease when e tend to zero towards infinity. Thus, in a hypothetical situation, when society is only concerned about the problems of income redistribution, the situation of low-income segments of the population and the reduction of inequality, the Atkinson index will be close to 1. Any other value in the range from 0 to 1 determines the significance for society of redistribution processes in favor of the least well-off strata of the population. In table. Table 5.9 shows the values of the Atkinson index, calculated from data on the distribution of the population by per capita money income in 1995, for various values of e. For example, if e = 1.5, the benefit from the redistribution of income in favor of its equal distribution in 1995 would be equivalent to an increase in total income by 0.281, or 28.1%.
Distribution of the population by the size of average per capita cash income. Average per capita monetary income of the population according to Russian Federation. Appointment of pensions for the subjects of the Russian Federation. The living wage. The population with monetary incomes below the subsistence level.
All population 100 Cash income per month, rub. до 3500,023,315,910,97,35,33,82,82,2 3500,016,513,710,98,67,05,64,53,7 5000,017,616,514,512,510,99,48,17,0 7000,017,118,217,817,015,914,613,412,013,917,119,120,220,420,219,818,011,612,616,619,821,923,524,825,0... 6.010.27.79.310.812.113.3 over 35000.0... 6.99.312.114.517.6
Rubles/month in % to the corresponding period of the previous year to the previous period 2008 I quarter, 0123.078.3 II quarter, 7123.6120.8 III quarter, 3123.0105.6 IY quarter, 6108.3108.5 Year,6 118 ,5
Rubles/month in % to the corresponding period of the previous year to the previous period 2009 I quarter,1115.283.2 II quarter,9115.0120.6 III quarter,6107.498.6 IY quarter,3117.3118.5 Year,0 113 .7
Rubles/month in % to the corresponding period of the previous year to the previous period 2010 I quarter, 4115,581.9 II quarter, 8110.3115.2 III quarter, 4111.9100.0 IY quarter, 0113.0119.7 Year, 4112, 6
Rubles/month in % to the corresponding period of the previous year to the previous period 2011 I quarter,6109.778.9 II quarter,6109.2115.3 III quarter,3110.6100.5 IY quarter,0109.3119.6 Year,0109, 6
Rubles/month in % to the corresponding period of the previous year to the previous period 2012 I quarter,3106.576.6 II quarter,0109.0118.1 III quarter,6112.2103.3 IY quarter,9112.0119.6 Year,4110, one
Rubles/month in % to the corresponding period of the previous year to the previous period 2013 Q1, 0112.477.2 *Preliminary data
Pension cash benefit paid to persons who: have reached retirement age (old-age pensions), have a disability, have lost their breadwinner. In connection with demographic problems(aging society) many states (France, Germany, Russia and others) are currently reviewing their pension policy.
The average size assigned pensions 1), rub. The real size of assigned pensions, as a percentage of previous year Russian Federation 823.43682.34546.36177.47593.98272.79153.6131.4115.8108.9124.9112.2104.6103.3 Central Federal District 823.53657.54518.86146.77616.09201.1 114.9108.9124.3113.1104.8103.3 Northwestern federal district 886.34210.55197.87044.18611.19373.910361.2 116.6107.7124.9111.4104.7103.5
The average size of assigned pensions 1), rub. Real amount of pensions granted, as a percentage of the previous year Southern Federal District 789.33449.94237.05756.77054.67660.58445.4 115.6108.1124.4111.5104.0102.8 North Caucasian Federal District 714.63203, 83901.65333.16394.56962.57704.9 116.1104.9124.4107.2105.8103.2 Volga Federal District 798.53485.94298.35832.97201.97839.18672.2 114.4109.212 .1104.7103.3
The average size of assigned pensions 1), rub. Real amount of pensions granted, as a percentage of the previous year Ural Federal District 840.73869.54827.56561.98093.88849.69814.9 116.4111.1125.3111.9105.0103.7 Siberian Federal District 834.63680.34542, 16165.07548.18218.29090.7 117.0108.9125.2112.6104.1103.2 Far Eastern Federal District 940.14334.85389.67324.48898.59712.210770.6 118.2108.7123.911 .5104.5
The entire population of it by socio-demographic groups of the population The ratio of the average per capita monetary income of the population with the subsistence minimum working-age population pensioners children, 0
The entire population of it by socio-demographic groups of the population The ratio of the average per capita cash income of the population with the subsistence minimum working-age population pensioners children,3
The entire population of it by socio-demographic groups of the population The ratio of the average per capita cash income of the population with the subsistence level working-age population pensioners children,) I quarter,1
