>From: "Johannes Schneider" <[EMAIL PROTECTED]>

>Below are some basic data on the class structure in Germany. It has been
>taken from:
>http://www.eiro.eurofound.ie/2000/10/features/DE0010287F.html
>

>Wealth, poverty and income distribution in Germany.

>According to the IG Metall "fair share" memorandum, the existing data on
>social inequalities are in many respects inadequate. There is currently no
>regular and systematic monitoring of wealth distribution in Germany. There
>are, however, some indicators which give at least an overview of existing
>social inequalities, such as:
>- distribution of money assets and real estate;
>- the number of citizens living in poverty; and
>- income distribution.
>
>Inequality in the distribution of money assets and real estate
>In 1998, all German households together owned net money assets
>(Geldverm�gen) of more than DEM 1.9 trillion, which is a clear indicator of
>the wealth in German society. An analysis of the distribution of this
>wealth, however, reveals enormous inequality (see table 1 below). At the
>top, 4.5% of households owned about 29.4% of the overall money assets, while
>at the bottom 26.6% of households owned only 0.6% of the overall money
>assets. The richest third of German households owned more than 80% of the
>overall money assets, while the remaining two-thirds of households owned
>only 20%.
>
>Table 1. Distribution of net money assets in Germany, 1998 % of households
>Net money assets  % of total net money assets
>4.5% More than DEM 200,000 29.4%
>29.5% DEM 50,000 to DEM 200,000 51.0%
>39.4% DEM 10,000 to DEM 50,000 19.0%
>26.6% Less than DEM 10,000 0.6%
>
>Source: Federal Statistical Office 1999, Sample survey of income and
>expenditure 1998, quoted from IG Metall, "fairteilen - Initiative f�r
>soziale Gerechtigkeit", Frankfurt aM, 2000.
>
>A similar inequality exists regarding the distribution of real estate, which
>in total was equivalent to a total market value of DEM 6.6 trillion in 1998
>(see table 2). The top 5% of households owned more than 30% of total real
>estate market value, and the top 21.8% of households accounted for 71.5% of
>total real estate market value, while more than half of all households had
>no real estate at all.
>
>Table 2. Distribution of real estate in Germany, 1998 % of households Real
>estate market value  % of total real estate market value
>5.0% More than DEM 700,000 30.6%
>16.8% DEM 350,000 to DEM 700,000 40.9%
>22.1% DEM 100,000 to DEM 350,000 27.6%
>3.5% Less than DEM 100,000 0.9%
>52.6% No real estate 0.0%
>
>Source: Federal Statistical Office 1999, Sample survey of income and
>expenditure 1998, quoted from IG Metall, "fairteilen - Initiative f�r
>soziale Gerechtigkeit", Frankfurt aM, 2000.
>
>Poverty in Germany
>Although there is enormous wealth in Germany, a significant proportion of
>German citizens live in poverty. According to a recently published report on
>poverty in Germany, carried out on behalf of the German Federations of Trade
>Unions (Deutscher Gewerkschaftsbund, DGB) and the Confederation of German
>Welfare Organisations (Parit�tischer Wohlfahrtsverband), every 11th citizen
>in Germany was considered as being poor in 1998. Using the international
>standard definition of poverty - which is an income of less than 50% of
>national average income - the study established that 8.7% of all west
>Germans and 10.7% of all east Germans live in poverty (see table 3 below).
>
>Table 3. Poverty* in Germany, 1998 Group of people % living in poverty
>Children 14.2%
>Lone parents  about 30%
>Unemployed about 30%
>Immigrants 18.6 %
>All citizens in west Germany 8.7%
>All citizens in east Germany  10.7%
>All citizens 9.1%
>
>* Poverty = income below 50% of the average income per person in 1998.
>
>Source: Walter Hanesch et al, "Armut und Ungleichheit in Deutschland", 2000,
>forthcoming.
>
>The risk of poverty is particularly high among certain groups and
>households, such as unemployed people, families with children, or
>immigrants. About 30% of all unemployed people and lone parents can be
>considered as being poor. Moreover, 14.2% of all children have to live in
>poverty. There is also a clearly above-average proportion of poverty among
>immigrants (18.6%). Finally, the percentage of people who live in poverty
>but have a job at the same time is only slightly below the average, which
>indicates that Germany has a significant number of so-called "working poor"
>(Low wages in a high-wage economy - DE9702201F). Overall, the proportion of
>citizens living in poverty has been relatively stable since the mid-1980s.
>According to the study's findings, public social transfer payments (ie
>welfare benefits) have been able to limit a further increase in poverty, but
>have not been sufficient to eliminate the existing level.
>
>Unequal income distribution
>Significant inequalities can be found in both the functional and the
>personnel income distribution. The functional income distribution describes
>the distribution amongst different forms of income, namely wage earners'
>income and income from profits and property. Since pay increases clearly
>lagged behind overall economic development during the 1990s, Germany saw a
>significant redistribution from wage to profit income and a significant
>decline of the share of labour income in the national income from 75% in
>1993 to 72.2% in 1998 (Pay increases lag behind overall economic
>development - DE0002239N). According to figures issued by IG Metall, between
>1991 and 1998 net wages and salaries grew by only about 18%, while income
>from profits and property grew by about 39% in the same period. This was the
>result not only of very moderate wage agreements but also of a tax policy
>which clearly favours profit rather than wage income.
>
>As far as the personnel income distribution is concerned, there are various
>inequalities among different groups of employees or groups of households.
>Although there is no systematic evaluation of this issue, various indicators
>provided by the Federal Statistical Office (Statistisches Bundesamt)
>highlight current personnel income inequalities:
>
>- there are significant differences between incomes in west and east
>Germany. While in 1998 a household in west Germany had an average net
>monthly income of DEM 5,250, an average east German household had a net
>income of only DEM 3,960, which was 75% of the net income of west German
>households;
>
>- there are significant differences in the average payments of men and
>women. In 1999, a female employee in manufacturing earned on average only
>77% of the pay received by her male colleagues. In east Germany, the pay
>system seems to be more equal, since women earn on average about 90% of
>men's earnings;
>
>- there is a significant difference between white- and blue-collar workers'
>incomes. In 1999, a blue-collar worker in manufacturing earned only about
>66% of the pay of a white-collar worker; and
>
>- there are also important sectoral differences, including a significant
>low-wage sector which sometimes leads to the phenomenon of the "working
>poor"
>
>
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