Equivalised income

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The equivalent income  ( AEE ) is the income that each member of a household if it had grown and would live alone, the same (equivalent) standard of living would allow, as it has him within the household community. To do this, the income of the entire household is added up and then weighted on the basis of an equivalence scale. The weighting depends on the number and age of the people in the household. Mostly it is calculated as net equivalent  income (NEE). The equivalised income is a per capita income. A distinction has to be made between the NÄE and the per capita income as unweighted arithmetic average and the disposable income .

definition

As net income all apply here income from independent and dependent work , maintenance and asset and transfer income (eg housing benefit) plus rental value home ownership, net of taxes and mandatory contributions to social insurance . The monthly net equivalent income then denotes the fictitiously available amount of money per person in a month after the weighting of the persons .

The weighting (consumption equivalent compared to a one-person household) can be done in different ways. The most relevant is the weighting of the OECD , which is mostly used for international comparisons: the new and old OECD scale . On the current scale, the first adult in the household - the person with the highest contribution to household net income - is assigned a weight of 1.0, other adults and adolescents (aged 14 and over) are assigned a weight of 0.5, and each child (under 14 years) weighs 0.3 (50 percent or 30 percent of a single adult).

Because the total weight of the people is always smaller than the total of the people, the total of the equivalised income is always greater than the total of the nominal income .

In a household with an earner with an annual income of € 40,000, an earner with € 15,000 and two school-age children (15 and 13), all four people would each have an annual equivalent income of € 55,000 ÷ 2.3 ≈ € 24,000, i.e. roughly the (income-related) standard of living of a single person with an annual income of over € 24,000.

With the help of the equivalence scale , income can be compared according to household size and composition. The reason for this is that the incomes of people who live in households of different sizes cannot be compared with one another, since economies of scale occur in larger households (e.g. through shared use of living space and household appliances).

use

The equivalised income is mainly used to calculate income distribution , income inequality and poverty .

With the net equivalent income, the standard of living for an individual citizen is generally only roughly estimated; it is usually used to determine the total welfare of a city, region or state. A welfare function is thus determined. Trivial and therefore often used functions are the arithmetic mean ( mean ) and the median ( mean ) or the welfare function according to Sen and Foster with Gini coefficient or Theil index . By using different measures of inequality , further welfare functions can be determined.

Equivalent net income is used to define relative poverty . In the EU, the median net equivalent income has been used to define the relative poverty line since 2001 as follows: People with an available income of 60% or less of this amount are considered to be at risk of poverty in relation to the total population . There is no one-size-fits-all definition of poverty. The use of a relative poverty line has been criticized in part because an even increase or decrease in the income of all strata of the population would not change it even if prices remained unchanged. The use of the median (half of the people in each case) does not reflect the income gap . The Gini coefficient developed for this reflects this.

The most widely used new OECD scale is also controversial. In particular, the assumed significantly lower needs for children are criticized as being too low, especially since in the welfare state practice lower or no savings are assumed compared with an additional adult.

The main point of criticism in relation to this criticism is that the definition of equivalised income and in particular the weights of the OECD were originally intended only as a rough, rough, quick method for an overall economic statistical calculation, i.e. for an assessment of the state of welfare as a whole, but not for the assessment of one individual household - and certainly not its actual prosperity or its concrete risk of poverty .

For a comparison between different areas, the net equivalent income has to be related to the value of money, the purchasing power ( price adjustment ). This calculation is time-consuming, and there are different regional and global comparative approaches.

National

Europe

In the official statistics of the EU ( Eurostat ), comparisons are usually made using the purchasing power standard  (PPS) in the form of a fictitious currency that converts the euro into national monetary value (the price level ).

Median net equivalent income in Europe in 2009 and 2013
country Euro
2009
KKS
2009
Index
2009
Euro
2013
KKS
2013
Index
2013
±%
euros
±%
KKS
±
index
EuropeEurope EU-27/28 * 14,594 - 100.0 / 15,382 - 100.0 (5.4) - -
EurozoneEurozone EURO-15/17 16,792 - - / 17,436 - - (3.8) - -
BelgiumBelgium Belgium * 19,313 17,491 119.9 21,483 19,775 128.6 11.2 13.1 8.7
BulgariaBulgaria Bulgaria * 2,828 5,751 39.4 2,924 6,055 39.4 3.4 5.3 0.0
Czech RepublicCzech Republic Czech Republic * 7,295 10,104 69.2 7,694 10,649 69.2 5.5 5.4 0.0
DenmarkDenmark Denmark * 25,029 17,917 122.8 26,897 19,136 124.4 7.5 6.8 1.6
GermanyGermany Germany * 18,586 17,954 123.0 19,582 19,371 125.9 5.4 7.9 2.9
EstoniaEstonia Estonia * 6,209 8.101 55.5 6,579 8,550 55.6 6.0 5.5 0.1
IrelandIreland Ireland * 22,445 17,593 120.5 n / A n / A - - - -
GreeceGreece Greece * 11,496 12,626 86.5 8,371 9,087 59.1 -27.2 -28.0 -27.4
SpainSpain Spain * 12,856 13,524 92.7 / 13,524 14,238 92.6 (5.2) (5.3) (-0.1)
FranceFrance France * 19,644 17,741 119.8 20,954 19,384 126.0 6.7 9.3 6.2
CroatiaCroatia Croatia * n / A n / A - 5,078 7,258 47.2 - - -
ItalyItaly Italy * 15,637 15.198 104.1 15,733 15,342 99.7 0.6 0.9 -4.4
Cyprus RepublicRepublic of Cyprus Cyprus * 16,451 19,761 135.4 15,873 18,159 118.1 -3.5 -8.1 -17.3
LatviaLatvia Latvia * 5,356 7.139 48.9 4,702 6,619 43.0 -12.2 -7.3 -5.9
LithuaniaLithuania Lithuania * 4,715 7.149 49.0 4,698 7,352 47.8 -0.4 2.8 -1.2
LuxembourgLuxembourg Luxembourg * 31,764 27,036 185.3 33,301 27,266 177.3 4.8 0.9 -8.0
HungaryHungary Hungary * 4,739 6,836 46.8 4,529 7,512 48.8 -4.4 9.9 2.0
MaltaMalta Malta * 10,503 13,576 93.0 12.093 15,535 101.0 15.1 14.4 8.0
NetherlandsNetherlands Netherlands * 20,156 19,227 131.7 20,839 19,226 125.0 3.4 -0.0 -6.7
AustriaAustria Austria * 20,469 19,472 133.4 22,073 20,925 136.0 7.8 7.5 2.6
PolandPoland Poland * 5,097 7,376 50.5 5,164 9,104 59.2 1.3 23.4 8.7
PortugalPortugal Portugal * 8,282 9,407 64.5 8,170 9,508 61.8 -1.4 1.1 -2.7
RomaniaRomania Romania * 2.162 3,442 23.6 2,066 3,728 24.2 -4.4 8.3 0.6
SloveniaSlovenia Slovenia * 11,864 14,410 98.7 11,852 14,286 92.9 -0.1 -0.9 -5.8
SlovakiaSlovakia Slovakia * 5,671 7,852 53.8 6,737 9,568 62.2 18.8 21.9 8.4
FinlandFinland Finland * 20,962 17,368 119.0 23,272 19,116 124.3 11.0 10.1 5.3
SwedenSweden Sweden * 21,248 18,763 128.6 26,414 20,527 133.4 24.3 9.4 4.8
United KingdomUnited Kingdom United Kgr. * 16,262 16,819 115.2 / 18,694 16,469 107.1 (15.0) (-2.1) (-8.1)
IcelandIceland Iceland 22,362 21,569 147.8 21,234 19,437 126.4 -5.0 -9.9 -21.4
NorwayNorway Norway 33,737 24,137 165.4 42,909 27,019 175.7 27.2 11.9 10.3
SwitzerlandSwitzerland Switzerland 28,958 22,532 154.4 40,791 25,508 165.8 40.9 13.2 11.4
Remarks
Source: SILC / EUROSTAT
2nd column: EU members
Index: EU = 100 (the data for EU / EURO 2013 are estimated by Eurostat)
The column between 2009 and 2013 shows a break in the time series (change in design)
±% Euro / PPS: change in percent (based on 2008). The table also shows the effects of the global economic crisis from 2007 and the euro crisis ; the high increase (in euros) in Switzerland, Sweden and Norway is the devaluation against the franc and the kroner, the discrepancy between the change in euros and PPS in Great Britain is that against the pound with simultaneous economic weakness.

Germany

Equivalent
net
income in Germany in euros per year
year Median Average
1995 13,439 15,035
1996 14,523 16,060
1997 14,769 16,289
1998 14,393 15,918
1999 14,603 16,366
2000 15,339 17.167
2001 15,758 17,742
2003 16,500 18,492
2004 16,327 18,113
2005 15,617 17,227
2005 16,393 18,214
2006 15,663 17,283
2006 17,777 20,270
2007 17,777 20,270
2008 18.309 21,086
2009 18,586 21,223
2010 18,797 21,470
2011 19,043 21,549
2012 19,595 22,022
2013 19,582 22,471
2014 19,733 22,537
2015 20,668 23,499
2016 21,275 24,020
2017 21,920 24,780
2018 22,713 25,882

The median net equivalent income (MNÄE) always depends on the population under consideration. Usually all of Germany is considered. The regions differ significantly from one another. If you look at the federal states, the MNÄE of Baden-Württemberg is highest, 9 percent above that of the Federal Republic of Germany, and that of Mecklenburg-Western Pomerania is the lowest, 13 to 18 percent lower than the Federal German. If you take a closer look at the 39 NUTS II regions, then the MNÄE is highest in Upper Bavaria, 18 to 20 percent above that in West Germany, Mecklenburg-Western Pomerania is also the NUTS II region with the lowest MNÄE.

If you divide Germany into about 100 smaller sub-areas, then the regions Mecklenburg Lake District and Western Pomerania, both in Mecklenburg-Western Pomerania, have the lowest MNÄE, namely 20 to 24 percent below the Federal German, Munich has 25 to 27 percent above the Federal German MNÄE the highest. If you only look at the cities, Munich has the highest MNÄE and Leipzig, with 13 to 19 percent, the lowest among the federal MNÄE.

If you look at individual particular population groups, the proportion varies greatly: it is 70% for people who were unemployed for more than half the year, and less than 10% for people who worked more than half the year, one had a high level of education or owned a home.

The proportion of people in Germany who have to live on less than 60% of the median net equivalent income (MNÄE) - often referred to as "relative poverty", at-risk-of- poverty rate or poverty rate - rose steadily from 10.6% in 1998 to 15 in 2009, 16% increased. Every sixth lived in poverty, that was about 12.5 million people. In 2012 the poverty rate was just under 15%. According to scientists from the Hans Böckler Foundation in their 2016 study on the unequal distribution of income and wealth in Germany, "despite the 'good economic situation' and 'increasing employment', the situation has hardly changed."

Net equivalent income 2004 Germany
Share in
the median
per year per month affected
population
high income ≥ 200% € 34,248 € 2,854 5% to 8%
high income ≥ 150% € 25,686 € 2,141 20.5%
Median ≤ 100% € 17,124 € 1,427 50.0%
Lower class ≤ 70% € 11,986 999 € 20.5%
at risk of poverty ≤ 60% € 10,274 € 856 13.0%
poor according to WHO and OECD ≤ 50% € 8,561 € 713 7.7%
Subsistence level ≤ 43% € 7,365 € 614
relatively poor ≤ 40% € 6,894 € 571 3.5%
Equivalent net income 2017 Germany
Share in
the median
per year per month
high income ≥ 200% € 43,840 € 3,653
high income ≥ 150% € 32,880 € 2,740
Median ≤ 100% € 21,920 € 1,827
Lower class ≤ 70% € 15,344 € 1,279
at risk of poverty ≤ 60% € 13,152 € 1,096
poor according to WHO and OECD ≤ 50% € 10,960 913 €
relatively poor ≤ 40% € 8,768 € 731

See also

Web links

National:

Individual evidence

  1. a b Poverty and Living Conditions - Results from LEBEN IN EUROPA for Germany 2005. (PDF) Federal Statistical Office, December 31, 2006, accessed on March 23, 2012 . (Order number: 0010008-05900-1).
  2. ^ Tilman Weigel: Caution, Statistics! Saarbrücken, 2013, ISBN 978-3-8417-7125-4 .
  3. a b c d e Average and median income by age and gender . appsso.eurostat.ec.europa.eu, accessed on December 29, 2019 (the more recent KKS data are often corrected, so they differ after a few days)
  4. For an interpretation of the data (for 2009) see Europe: Income . Federal Agency for Civic Education : bpb.de → Figures and facts ; Retrieved February 8, 2014 (some slightly different figures there).
  5. a b c d e f g h i [http://epp.eurostat.ec.europa.eu/portal/page/portal/income_social_inclusion_living_conditions/data/database Income and living conditions - Income distribution and monetary poverty - Income distribution - Average income according to Main source of income.] (Link not available)
  6. ^ Living situations in Germany - The 2nd report on poverty and wealth by the Federal Government (PDF) p. 18.
  7. a b Economic calculations - LEBEN IN EUROPA (EU-SILC) - Income and living conditions in Germany and the European Union 2005 and 2006 - Fachserie 15 series 3. (PDF) Federal Statistical Office, December 12th, 2008, archived from the original on November 15th 2012 ; Retrieved March 23, 2012 .
  8. a b c d e f Community statistics on income and living conditions (EU-SILC). ( Memento from November 15, 2010 in the Internet Archive ) destatis.de
  9. Economic calculations - LEBEN IN EUROPA (EU-SILC) - Income and living conditions in Germany and the European Union 2007 - Fachserie 15 Reihe 3. (PDF) Federal Statistical Office, May 25, 2011, archived from the original on November 15, 2012 ; Retrieved March 23, 2012 .
  10. Economic calculations - LEBEN IN EUROPA (EU-SILC) - Income and living conditions in Germany and the European Union 2008 - Fachserie 15 series 3. (PDF) Federal Statistical Office, December 19, 2011, archived from the original on November 15, 2012 ; Retrieved March 23, 2012 .
  11. Economic calculations - LEBEN IN EUROPA (EU-SILC) - Income and living conditions in Germany and the European Union 2009 - Special series 15 series 3. (PDF) Federal Statistical Office, December 19, 2011, archived from the original on November 15, 2012 ; Retrieved March 23, 2012 .
  12. a b c State & Society - Living Conditions, Risk of Poverty - Living Conditions, Risk of Poverty - Federal Statistical Office (Destatis). In: destatis.de. Retrieved May 14, 2016 .
  13. Florian Diekmann: Deceptive statistics on income: The poverty certificate. In: Spiegel online. March 29, 2016. Retrieved March 29, 2016 .
  14. Median of the equivalised income calculated on the basis of the new OECD scale of the population of the respective region / city in private households at the place of the main residence
  15. a b c depending on the year considered, only based on 2005 to 2019
  16. Social reporting - Income poverty and distribution - A.11 Medians and thresholds of income wealth, federal states (federal median, state median)
  17. Social reporting - Income poverty and distribution - A.7 Medians and at-risk-of-poverty thresholds by region (federal median, state median, regional median)
  18. For Bremen and Lower Saxony, microcensus adjustment layers (of which there are 132 nationwide) are considered, for all other federal states the spatial planning regions (ROR) are viewed as observation and analysis grids of the federal spatial planning based on the city and rural districts. There are 96 spatial planning regions nationwide, with the delimitation, with one exception (Bremen / Lower Saxony), running along the state borders. 2008 to 2019 only.
  19. bpb: November 26, 2019 - Selected at-risk-of-poverty rates, 2017
  20. a b Marcus Klöckner: Income inequality is “far higher” in Germany today than it was 20 years ago. Article about the results of the 2016 study by the Hans Böckler Foundation on the unequal distribution of income and wealth in Germany. In: Telepolis, August 8, 2016. Retrieved August 11, 2016.
  21. ^ German Bundestag (ed.): Situation in Germany. The 3rd report on poverty and wealth by the federal government . June 30, 2008 ( bundestag.de (PDF)).
  22. Werkstatt Ökonomie e. V. (Ed.): Is there such a thing as poverty and wealth? For the social handling of definition and method problems . Heidelberg 2002, ISBN 3-925910-04-2 .
  23. DIW Berlin 2008. (PDF; 241 kB) In: DIW Berlin weekly report No. 10/2008. P. 103 , accessed January 5, 2012 . Last number listed from 2006.
  24. ^ A b Jan Goebel, Martin Gornig, Hartmut Häußermann: Polarization of incomes: The middle class is losing. (PDF; 469 kB) In: Weekly Report No. 24/2010. German Institute for Economic Research , Berlin, June 6, 2010, p. 3 , accessed on October 23, 2019 (8 pages).