Pirmin Fessler, Peter Lindner, Martin Schürz ¹

This report presents results from the fourth wave of the Eurosystem Household Finance and Consumption Survey in Austria. After briefly outlining wave-specific issues due to the fieldwork done during times of COVID-19, we report on the state of Austrian households’ balance sheets with a focus on portfolio composition and socioeconomic characteristics across the joint distribution of wealth and income. We further examine the state of households’ saving behavior as well as their housing situation and conclude with a section on the variation of main aggregate statistics across time as developed in the joint new framework of the Eurosystem distributional wealth accounts. While, overall, the distribution of assets and liabilities among Austrian households has remained rather stable, we find the distribution of wealth has been somewhat compressed in the upper half. Also, housing and debt is increasingly concentrated in the upper half of the net wealth distribution.

With regard to the main use of the HFCS for the Eurosystem, the HFCS has become an increasingly important tool to calibrate models for monetary policy that take into account the heterogeneity of households, especially with regard to savings. Regarding financial stability, the HFCS is a key source for assessing household vulnerability.

The HFCS is especially important in Austria as there is no comprehensive credit register for natural persons. That means that a large part of debt held by households can only be analyzed based on the HFCS. Furthermore, the HFCS is the main data source for the newly developed distributional wealth accounts (DWA) of the Eurosystem, which will complement national accounts information and enrich it with distributional information. For the methodological background of the current wave of the HFCS, see our accompanying methodological report (Albacete et al., 2023) and the HFCS website ( www.hfcs.at ). Note that the ECB will soon publish a report based on the full euro area HFCS wave carried out in 2021 ³ , including many statistics for the euro area (ECB, 2023a) as well as a methodological report (ECB, 2023b). The full data for all countries and waves, including the 2021 HFCS for Austria, can be requested from the ECB for research purposes (https://www.ecb.europa.eu/stats/ecb_surveys/hfcs/html/index.en.html). For a comparison to the country economically (and institutionally) most closely related to Austria, we recommend the HFCS report recently published by the Deutsche Bundesbank (Deutsche Bundesbank, 2023): Vermögen und Finanzen privater Haushalte in Deutschland: Ergebnisse der Vermögensbefragung 2021 (bundesbank.de) .

The most important findings of the HFCS Austria can be summarized in six conclusions:

1. Few households hold debt in Austria (29.9%). Only 13.9% hold collateralized debt while about 17.4% hold uncollateralized debt. Collateralized debt is mostly held by households in the upper half of the net wealth distribution. Thus, potential risks to financial stability stemming from household indebtedness are relatively low in Austria compared to other euro area countries.
2. Austrian households have financial portfolio profiles with very low risk. Few households hold assets that are typically classified as risky. Only 12.3% of households hold mutual funds, only 6.1% hold stocks and only 2.5% hold bonds. Once households hold risky assets, these account for about 40% of their financial portfolio. This share is rather stable across the net wealth distribution.
3. Roughly half of Austrian households are homeowners (47.6%). Almost all of them are found in the upper half of the net wealth distribution, while the lower half of the net wealth distribution consists predominantly of households renting their homes. Only Germany has a higher share of renters in the euro area.
4. As in all euro area countries, the net wealth distribution in Austria is much more unequal than the distribution of income.
5. The net wealth distribution in Austria (and Germany) is very unequal in comparison to other countries. This is partly due to institutional differences compared to other euro area countries, related to e.g. the real estate market and the welfare state (see also box 1 on augmented wealth).
6. Analyzing the wealth concentration cannot be done with the HFCS data alone. That is one reason why the ECB will soon provide distributional wealth accounts (see section 5; see Kennickell et al., 2022).
7. Direct business ownership as well as income from renting out real estate is concentrated among the top 10% of the net wealth distribution.

Note that while this report is rather concise, we also provide a large and growing amount of additional multimedia content which is targeted at different audiences such as the general public, journalists, analysts looking for aggregated statistics (see also annex 2 as well as the Standard Output tables on our web page) and scientists who want to work with the data themselves. All the material will be accessible on the accompanying web page of this report.

German Version

English Version

1 COVID-19-specific caveats

Due to these problems arising from a field period amid a pandemic, many technical processes in post-fieldwork production also had to be adjusted, most notably editing and weighting schemes. Furthermore, fewer observations made multiple imputations more difficult as well. We document the COVID-19-related methodological problems and resulting caveats in Albacete et al. (2023).

2 Balance sheets

2.1 Subjective wealth position

Furthermore, also at the very low end of the distribution, we find relatively few households assessing their position in the wealth distribution correctly.

2.2 Characteristics of wealth distribution

Zero ownership of real assets is reported by a fairly large number of households (14.3%). To a certain extent, this may reflect the underreporting of less valuable items. Not until the middle of the distribution do real asset holdings begin to increase markedly. Below the middle of the distribution, vehicles are the dominant type of real asset. The 47.6% of households that own their main residence can be found almost entirely in the upper half of the net wealth distribution (see also table 4).

The conditional mean of real assets is calculated based on households with real assets. It comes to about EUR 305,000. Real asset holdings rise sharply in the middle and then evenly up to the 90th percentile (see chart 2), reflecting widespread owner-occupied housing starting in the upper middle and relatively evenly distributed current values of households’ main residences (see Fessler and Schürz, 2017a). Real asset values rise noticeably at the top, especially the values above the 95th percentile. In this range of the distribution, other real estate property and investments in self-employment businesses begin to play a key role in addition to main residences.

Chart 3 shows the distribution of financial assets. Only very few households (0.1%) own no financial assets at all. For this reason, the conditional and unconditional means are nearly identical at around EUR 48,000. Both these values are far higher than the (unconditional) median at some EUR 18,000, which indicates a pronounced positive skewness of the distribution. The financial wealth of roughly three-quarters of all households falls short of the mean. However, underreporting is especially high for financial wealth in general, and the degree of understatement is most likely to be very large in the upper range of the distribution (see also Andreasch and Lindner, 2016; Vermeulen, 2016).

Chart 4 shows the distribution of debt from the 5th to the 95th percentile. 71.1% of Austrian households do not have any debt. The conditional mean of debt comes to approximately EUR 54,000. Small liabilities are primarily unsecured loans or, in a few instances, secured loans that have been almost paid off. Large debt amounts mainly reflect mortgage loans at various stages of repayment. Note, however, that in recent years especially loans for additional real estate beyond owner-occupied housing have increased. The very affluent are increasingly accumulating real estate wealth, while the share of owner-occupiers remained roughly constant at about half of the household population for the last 20 years. The expansion in real estate wealth and accompanied debt is therefore not driven by an expansion in homeownership rates but by an expansion in real estate wealth at the intensive margin.

Chart 5 shows the distribution of net wealth for the third and the fourth wave. In 2021, 3.6% of households had negative (3.3%) or no net wealth (0.03%). At about EUR 293,000, the mean is considerably higher than the median of around EUR 128,000. Net wealth of over EUR 1 million is observed only in the top 5% of households. Compared to 2017, the distribution is compressed in the upper half as values increased by similar absolute amounts between P50 and P85 (by EUR 50,000 to EUR 100,000) and between P85 and P95 (by up to EUR 200,000). Relatively, that means larger increases for the P50–P85, which in turn indicates a reduction in measured inequality in the upper half of the wealth distribution. This partly reflects increases in real estate wealth in the upper half as well as increased savings of more affluent households in recent years.

2.3 Portfolio composition

Table 1 provides an overview of the key components of net wealth. All wealth components have a positively skewed distribution as the mean is higher than the median. Some 47.6% of households own their main residence at least partially. In this component of wealth, the median value of the main residence of owner households is around EUR 280,000, and the average value of the main residence of owner households amounts to about EUR 372,000. Main residence ownership represents the most important asset in terms of volume for the owners. About 17% of households own other valuables, such as gold, works of art, jewelry, collections, etc. With a median value around EUR 5,000, the values in this wealth component are rather low. About 10.9% of households own real estate assets other than their main residence, ⁶ above all houses, apartments and undeveloped land. With a conditional mean of some EUR 350,000, the mean of other real estate property is almost as high as that of the main residences, while the median is considerably lower. Around 5.4% of households have investments in self-employment businesses (including agricultural businesses), i.e. businesses in which at least one household member is actively involved. Both the median (around EUR 78,000) and the mean (around EUR 579,000) of this component of wealth are comparatively high. The slightly decreasing extensive and intensive margins of this item, which is mostly held at the top of the net wealth distribution points toward a somewhat lower coverage at the top of the distribution.

Savings accounts, which in the HFCS Austria include savings plans with building and loan associations and life insurance contracts, are by far the most common savings variant. About 83% of households have at least one savings account, 34% have at least one savings plan with a building and loan association, and 35% have at least one life insurance contract. The median of savings accounts comes to around EUR 16,000 and the mean to some EUR 32,000. Roughly, 7% of households have made voluntary private pension provisions. This component of wealth contains state-sponsored retirement provision plans and other dedicated private savings plans for retirement. The median runs to roughly EUR 11,000 and the mean to about EUR 35,000. 12.3% of households have invested in mutual funds. The median of this component of wealth is around EUR 21,000 and the mean value about EUR 56,000. About 8% of households state that they have lent money to others. Stocks are held by 6% of households, bonds by around 3%. The medians run to about EUR 15,000 (stocks) and around EUR 18,000 (bonds), which compares with corresponding means of about 40,000 (stocks) and around EUR 94,000 (bonds). The residual measure “other financial assets,” for which about 2.9% of households reported values, comprises financial assets that are not recorded in any other category. This includes, for instance, silent partnerships, deferred compensation, trademark rights and accounts managed by trustees.

Table 1: Components of net wealth  

		Participation	Conditional median	Conditional mean	Mean-to- median ratio
		%	EUR thousand
Real assets	Vehicles	78.1	10.0	16.4	1.6
	Main residence	47.6	280.8	372.1	1.3
	Other valuables	17.1	5.0	11.8	2.4
	Other real estate property	10.9	179.8	350.3	1.9
	Investment in self-employment business (incl. farms)	5.4	77.6	579.2	7.5
Financial assets	Sight accounts	99.7	1.7	5.1	3.1
	Savings accounts	83.0	16.3	31.5	1.9
	Savings plans with building and loan associations	34.3	4.0	5.9	1.5
	Life insurance contracts	35.1	12.4	20.2	1.6
	Voluntary private pension plans	6.7	10.8	34.8	3.2
	Mutual funds	12.3	20.7	56.2	2.7
	Money owed to households	7.6	3.5	11.4	3.2
	Stocks	6.1	14.8	40.3	2.7
	Bonds	2.5	17.6	93.9	5.3
	Other financial assets	2.9	14.9	50.5	3.4
Debt	Collateralized debt	13.9	53.0	96.1	1.8
	Main residence	12.8	51.0	92.6	1.8
	Other real estate property	1.3	65.0	111.2	1.7
	Uncollateralized debt	17.4	2.7	14.2	5.2
	Overdrafts	9.2	1.3	2.1	1.6
	Uncollateralized loans	8.8	7.2	25.4	3.5
	Loans from family and friends	2.9	3.1	15.3	4.9
	Outstanding balance on credit cards	3.0	0.7	0.9	1.3
Source: HFCS Austria 2021, OeNB.

12.8% of households have debt for which they use their home as collateral. The difference between the median of about EUR 51,000 and the mean of around EUR 93,000 reflects variations across households both in the original amounts borrowed and the repayment of loans over time. Only 1.3% of households have taken out loans using other real estate property as collateral; however, the value of these loans is higher than that of loans secured by the main residence as collateral. An increasing share of collateralized debt is used for real estate other than the main residence. While the conditional mean and median decreased for the stock of loans using the main residence as collateral, those using other real estate property sharply increased since the last wave in 2017.

17.4% of households have uncollateralized debt. The distribution is significantly more skewed than that of collateralized debt. Moreover, 8.8% of households have overdrawn at least one of their sight accounts by a median of about EUR 1,000; the average value of this component is EUR 2,100. Other uncollateralized loans, amounting to an average of about EUR 25,000, represent the largest component of uncollateralized debt. Outstanding credit card balances play a minor role in Austria, with only 3% of households holding such debt and with the median and the mean coming to a comparatively low level of around EUR 700 and EUR 900, respectively. Austrians generally continue to use credit cards rather like debit cards, settling their bills in full every month.

2.4 Equivalized income, portfolio choice and socioeconomic characterization across wealth-income clusters

Income is important to assess the financial situation of households, as it is the base for their day-to-day consumption and for housing, in the case of renters, as well as their saving capacities. Next to intergenerational transfers, saving capacities are the second major source of wealth accumulation. Therefore, we describe the socioeconomic patterns along the resulting wealth-income combinations of the lower half, upper middle and top 10% of the net wealth as well as equivalized net income distributions (see Fessler and Schürz, 2022; and Fessler and Schürz, 2023).

Table 2 shows the prevalence of households within equivalized households’ income and net wealth groups. Income and wealth are positively correlated. 30.9% (out of potentially 50%) of households belong to the lower half of the equivalized net household income distribution as well as the lower half of the net wealth distribution at the same time. 18.7% (out of potentially 40%) belong to the upper middle (between P50 and P90) and 3.4% (out of potentially 10%) to the top 10% of both distributions. There are also a few households (2.4%) that belong to the lower-half income group but top 10% wealth group and even fewer (1.8%) to the lower-half net wealth group but top 10% income group.

Table 2: Income and wealth  

	Net wealth
Equivalized net household income	Lower half (<P50)	Upper middle (P50-P90)	Top 10 (>P90)
	Share in population in %
Lower half (<P50)	30.9	16.5	2.4
Upper middle (P50-P90)	17.3	18.7	4.2
Top 10 (>P90)	1.8	4.8	3.4
Source: HFCS Austria 2021, OeNB.

Table 3 presents different sources of wealth accumulation for these groups. The 30.9% of households located in the lower half of the equivalized household net income distribution and the lower half of the net wealth distribution have the lowest mean income. ⁷ They have a lower saving rate, and a much lower share of them has already inherited. As only few of them are owner-occupiers, most of them must pay a large share of their income for renting. The share of business owners and the share of households with rental income in this group is particularly low. This is in sharp contrast to the six groups in the upper half of the wealth distribution, where about 90% are owner-occupiers as opposed to below 10% in the lower half. Owning one’s home has a great advantage as income from imputed rent is not taxed and potential payments for housing in the form of debt service represent savings. Renters on the other hand pay value-added tax on their rent, and rents are rising with the consumer price index. Also, the share of households who have already inherited is about 50% in the three groups with upper-middle wealth and between 67.7% and 83.2% in the top 10% wealth groups. The share of business owners and households with rental income rises particularly strongly only for the three groups within the top 10% of wealth. Statistics for the smaller groups should be interpreted carefully and only as indications of differences in relation to the others as they are based on small numbers of observations.

Table 3: Sources of wealth  

	Share in population	Monthly equivalized net income	Saving rate	Share of heirs	Share of owner- occupiers	Share of business owners	Share with rental income from real estate
	%	EUR thousand	% of net income	Share in population in %
Wealth<P50, income<P50	30.9	1.3	9.6	24.2	4.4	1.2	0.4
Wealth<P50, P50<income<P90	17.3	2.1	13.2	25.5	7.2	2.2	0.9
Wealth<P50, P90<income	1.8	3.3	11.6	35.6	2.5	4.3	0.0
P50<Wealth<P90, income<P50	16.5	1.4	18.0	50.2	93.4	5.0	4.1
P50<Wealth<P90, P50<income<P90	18.7	2.2	18.0	49.7	87.6	5.0	4.7
P50<Wealth<90, P90<income	4.8	3.4	20.8	51.5	80.5	9.4	8.3
P90<Wealth, income<P50	2.4	1.4	25.3	67.7	94.4	31.0	26.0
P90<Wealth, P50<income<P90	4.2	2.3	24.2	83.2	94.8	22.4	23.6
P90<Wealth, P90<income	3.4	3.8	28.4	75.6	89.5	18.7	14.9
Source: HFCS Austria 2021, OeNB.

Table 4 describes the average portfolio composition (unconditional values) across the different income-wealth groups. The large difference between the groups in the lower half of the wealth distribution and those in the upper middle is driven – not in a causal sense – mostly by owner-occupied housing, which is the main asset in the upper middle. Within the upper middle of the wealth distribution, real assets do not change much with increasing income. Within the top 10%, there is even a decrease in average real assets with income, which is mostly due to the large prevalence of farmers (see also table 6) with large real wealth but low income. Financial assets, on the other hand, also increase with income within the top 10%.

Table 4: Portfolio composition  

	Share in population	Real assets	+ Financial assets	– Debt	= Net wealth
	%	EUR thousand
Wealth<P50, income<P50	30.9	10.6	10.9	3.9	17.5
Wealth<P50, P50<income<P90	17.3	30.0	22.9	12.5	40.4
Wealth<P50, P90<income	1.8	28.2	33.9	10.4	51.6
P50<Wealth<P90, income<P50	16.5	287.5	37.4	19.6	305.2
P50<Wealth<P90, P50<income<P90	18.7	294.0	51.4	20.7	324.7
P50<Wealth<90, P90<income	4.8	300.2	87.8	31.0	356.9
P90<Wealth, income<P50	2.4	1,880.6	101.2	12.5	1,969.3
P90<Wealth, P50<income<P90	4.2	1,143.0	173.7	26.0	1,290.7
P90<Wealth, P90<income	3.4	1,229.1	293.6	66.3	1,456.5
Source: HFCS Austria 2021, OeNB.

Table 5 shows the income composition of wealth-income groups (based on equivalized household net income). Income (based on detailed gross income measures) from work (employed, self-employed, state and private pensions, unemployment insurance and private transfers ⁸ ) is the most important income source for all groups. In absolute terms, social transfers (child benefit, student allowance, parental leave allowance, sickness benefit, care allowance, family allowance, social welfare, emergency assistance, housing allowance) decrease with income in all groups but the top 10% wealth group, where households are larger compared to the groups with lower wealth. Interestingly, the largest mean social transfers are received in the group that belongs to the top 10% of both, income and wealth. Relative to this group’s income they are less important. Income from capital (from renting out real estate, from financial assets and from business participations) is largest for wealthy households.

Table 5 : Income composition  

	Share in population	Income from work	+ Social transfers	+ Income from capital	= Gross income
	%	EUR thousand
Wealth<P50, income<P50	30.9	26.9	1.5	0.1	28.5
Wealth<P50, P50<income<P90	17.3	52.4	0.8	0.2	53.4
Wealth<P50, P90<income	1.8	77.4	0.5	0.1	78.0
P50<Wealth<P90, income<P50	16.5	40.0	1.4	0.4	41.8
P50<Wealth<P90, P50<income<P90	18.7	61.2	0.8	0.3	62.3
P50<Wealth<90, P90<income	4.8	96.6	0.7	2.1	99.4
P90<Wealth, income<P50	2.4	31.2	1.5	6.0	38.7
P90<Wealth, P50<income<P90	4.2	71.4	1.3	3.6	76.3
P90<Wealth, P90<income	3.4	109.7	3.0	5.0	117.7
Source: HFCS Austria 2021, OeNB.

Table 6 presents socioeconomic characteristics of the income-wealth groups. Household size is smaller for groups with lower wealth. Single parent households are particularly prevalent in the low-income groups (if they can stay in owner-occupied housing also in the upper part of the wealth distribution). Within lower-wealth groups, more people live in cities, where in general there are more renters. But within wealth groups, the share of households located in cities rises with income. While there are no large differences in age among the financially knowledgeable persons in the households, the share of respondents with university education rises with both income and wealth. Unemployed persons are mostly found in the group located in the lower half of the wealth and income distribution. Farmers on the other hand mostly belong to the lower income groups of the top 10% wealth group.

Overall, these results show once again that it is key to assess both income and wealth to describe the financial situation of a household.

Table 6: Socioeconomic characterization  

	Household characteristics				Financially knowledgeable person characteristics
	Share in population	Household size	Share of single-parent households	Share living in a city (population >20,000)	Age	Share with university degree	Share of unemployed	Share of farmers
	%	Mean	%		Mean	%
Wealth<P50, income<P50	30.9	1.8	3.8	55.9	54.0	7.9	10.0	0.2
Wealth<P50, P50<income<P90	17.3	1.9	0.2	60.3	53.3	7.6	1.9	0.3
Wealth<P50, P90<income	1.8	1.7	0.0	78.7	52.1	22.1	0.3	0.0
P50<Wealth<P90, income<P50	16.5	2.4	1.1	25.2	59.9	8.6	3.9	1.0
P50<Wealth<P90, P50<income<P90	18.7	2.3	0.3	29.1	57.9	16.2	0.2	0.7
P50<Wealth<90, P90<income	4.8	2.1	0.0	40.9	57.3	34.3	0.0	0.0
P90<Wealth, income<P50	2.4	2.4	5.0	19.6	60.4	9.4	0.6	11.8
P90<Wealth, P50<income<P90	4.2	2.4	0.0	23.5	58.6	34.9	0.9	5.0
P90<Wealth, P90<income	3.4	2.4	0.0	39.6	57.0	42.2	0.8	0.0
Source: HFCS Austria 2021, OeNB.
Note: Single parent households are defined as households with only one adult person (household member aged 18 or older) and one or more household members aged 14 or younger.

3 Saving behavior

As chart 6 shows, the saving rate (as a share of net income) increases with equivalized net income, also if variation due to education levels (four categories) as well as age (and age squared) is filtered out (see chart 6b).

Those households that accumulate wealth mostly do so in safe financial assets (see table 1) and/or at some point transfer their financial assets (as well as potential inheritances and/or gifts) into owner-occupied housing. Wealthier households hold risky assets. But even in the upper part of the distribution, the share stays below 50% for mutual funds, stocks and bonds. Once households invest in risky assets, such assets account for 40% of their financial assets (see chart 7 and Bekhtiar et al., 2019).

4 Housing

Affordable rents as well as higher income for households in the lower half of the wealth distribution are essential ingredients for increasing their saving potential to accumulate more wealth. From a social and environmental point of view, however, fostering and particularly subsidizing homeownership and especially single-family homes is a well-documented major policy mistake (see Orsetta et al., 2019; Economist, 2020a and 2020b; Fessler and Schürz, 2018b).

5 Assets and liabilities over time and the distributional wealth accounts

Table 7: Inequality measures 2010–2021  

		2010		2014		2017		2021
		Gross wealth	Net wealth	Gross wealth	Net wealth	Gross wealth	Net wealth	Gross wealth	Net wealth
Inequality measures	Gini coefficient	0.73	0.76	0.71	0.73	0.71	0.73	0.68	0.69
	GE(2)	4.0	4.5	10.2	11.5	7.4	8.5	2.2	2.4
	P75/P25	22.4	24.3	27.0	28.6	21.7	21.6	20.9	21.7
	P90/median	6.2	7.1	5.4	6.0	5.7	6.3	5.2	5.5
	P90/P10	233.7	581.1	251.8	521.2	171.9	262.0	222.4	297.8
		%
Top shares	Top 1	21.7	22.9	23.9	25.4	21.4	22.6	15.3	16.3
	Top 5	45.5	47.6	41.6	43.4	41.2	43.1	36.0	37.1
	Top 10	58.8	61.1	53.5	55.5	54.2	56.4	50.3	51.5
	Top 20	74.4	76.6	70.0	72.1	70.9	72.8	68.6	69.7
	Bottom 50	3.9	2.8	4.0	3.2	4.3	3.6	4.9	4.6
Source: HFCS Austria 2010, HFCS Austria 2014, HFCS Austria 2017, HFCS Austria 2021, OeNB.
Note: The Gini coefficient may take a value greater than 1 if the data contain negative values. GE(2) is a generalized entropy index with α = 2.

Recently, the ECB developed so-called distributional wealth accounts (DWA), ¹⁰ which integrate the HFCS data and the System of National Accounts (SNA). ¹¹ Several adjustments to various parts of the household balance sheet are followed by the simulation of the top of the distribution applying a Pareto distribution and using rich lists. ¹² And finally, an alignment of aggregates with the microdata is achieved by a detailed proportional adjustment. ¹³ Once micro- and macrodata are brought in line with each other at the time of survey, all the quarters in between are interpolated and quarters after the most recent survey (so far only the first three waves of the HFCS have been integrated) are forecast.

Looking at the mean and median figures for Austria, Germany ¹⁴ and the euro area, we see that these indicators (see chart 9) have been rising in all countries over the last decade. The mean of net wealth has been increasing even more steeply than the median. Additionally, mean net wealth in Austria is generally above the international average whereas median levels in Austria and Germany are lower than for the euro area, but very close to each other. The co-movement of results for Germany and Austria over time is remarkable.

On the other hand, inequality measures have shown extraordinary stability over the last decade. The shares of net wealth held by the top 5% are particularly high in Austria in comparison to its international counterparts. Based on DWA data, Engel et al. (2022) from the ECB report a top 1% share for Austria of 40% in Q3 2022 compared to a euro area figure of some 28%. Kennickell et al. (2021) present various scenarios resulting from simulations of wealth concentration in Austria. The results of these simulations show that the top 1% of Austrian households in terms of net wealth account for a share in total household net wealth that ranges from at least 23% to more than 50%.

6 Final remarks

Like Germany, Austria has a comparably low rate of indebted households with a comparably large risk-bearing capacity. The main reason is that both countries have large (subsidized) rental housing markets, which allow lower-income households to rent instead of taking out large amounts of mortgage debt to buy their home (only 47.6% of households are homeowners). Only 13.9% hold mortgage debt while about 17.4% hold nonmortgage debt. Mortgage debt is mostly held by households in the upper half of the net wealth distribution.

Concerning the asset side, few households hold assets that are typically classified as risky. Only 12.3% of households hold mutual funds, only 6.1% hold stocks and only 2.5% hold bonds. In the upper middle below the top 10%, owner-occupied housing is usually the by far largest asset households hold. Direct business ownership as well as income from renting out real estate is concentrated among the top 10% of the net wealth distribution.

References

Albacete, N., P. Lindner and K. Wagner. 2023. Eurosystem Household Finance and Consumption Survey 2021: Methodological notes for Austria.

Andreasch, M. and P. Lindner. 2016. Micro- and Macrodata: a Comparison of the Household Finance and Consumption Survey with Financial Accounts in Austria. In: Journal of Official Statistics, Vol. 32, No. 1. 1–28.

Bekhtiar K., P. Fessler and P. Lindner. 2019. Risky assets in Europe and the US: risk vulnerability, risk aversion and economic environment. ECB Working Paper Series No. 2270.

Causa O., N. Woloszko and D. Leite. 2019. Housing, wealth accumulation and wealth distribution: Evidence and stylized facts. OECD Economic WP 1588.

Davies, J. and A. Shorrocks. 2000. The distribution of wealth. In: Atkinson, A.B. and F. Bourguignon (eds.). Handbook of Income Distribution, Vol. 1, Elsevier. Ch. 11. 605–675.

Deutsche Bundesbank. 2022. Distributional Wealth Accounts for households in Germany – results and use cases. Monthly Report July.

Deutsche Bundesbank. 2023. Vermögen und Finanzen privater Haushalte in Deutschland: Ergebnisse der Vermögensbefragung 2021. Monatsbericht April.

ECB. 2023a. The Household Finance and Consumption Survey: Results from the 2021 wave. Statistics Paper Series Forthcoming.

ECB. 2023b. The Household Finance and Consumption Survey: Methodological report for the 2021 wave. Statistics Paper Series Forthcoming.

Economist. 2020a. Home ownership is the West’s biggest economic-policy mistake. Home ownership is the West’s biggest economic-policy mistake (economist.com)

Economist. 2020b. Housing is at the root of many of the rich world’s problems. Housing is at the root of many of the rich world’s problems (economist.com)

Engel, J., P. G. Riera, J. Grilli and P. Sola. 2022. Developing reconciled quarterly distributional national wealth – insight into inequality and wealth structures. ECB Working Paper Series No. 2687. July.

Expert Group on Linking macro and micro data for the household sector. 2020. Understanding household wealth: linking macro and micro data to produce distributional financial accounts. ECB Statistics Paper Series No. 37.

Fessler, P. and M. Schürz. 2017a. Zur Mitte in Österreich. In: Österreichischer Sozialbericht 2015-2016. Bundesministerium für Arbeit, Soziales und Konsumentenschutz. 269–292.

Fessler, P. and M. Schürz. 2017b. Zur Verteilung der Sparquoten in Österreich. In: Monetary Policy & the Economy Q3/17. OeNB. 13–33.

Fessler, P. and M. Schürz. 2018a. Private Wealth Across European Countries: The Role of Income, Inheritance and the Welfare State. In: Journal of Human Development and Capabilities, 19:4, DOI: 10.1080/19452829.2018.1507422. 521–549.

Fessler, P. and M. Schürz. 2018b. Housing and the American Dream: Is A House Still a Home? INET Blog.

Fessler, P. and M. Schürz. 2022. Structuring the Analysis of Wealth Inequality – Using the Functions of Wealth: A Class-Based Approach. In: Measuring Distribution and Mobility of Income and Wealth, National Bureau of Economic Research.

Fessler, P. and M. Schürz. 2023. Homeownership: The key to wealth inequality? In: Schifferes, S. and S. Knowles (eds.). The Media and Inequality – 1st Edition.

Fessler, P., P. Lindner and M. Schürz. 2018. Eurosystem Household Finance and Consumption Survey 2017 for Austria. In: Monetary Policy & the Economy Q4/18. OeNB. 36–66.

Kennickell, A. B., P. Lindner and Martin Schürz. 2021. A new instrument to measure wealth inequality: distributional wealth accounts. In: Monetary Policy and the Economy Q4/21. OeNB. 61–84.

Knell, M. and R. Koman. 2015. Pension Entitlements and Net Wealth in Austria. OeNB Working Paper 238.

OECD. 2013. OECD Guidelines for Micro Statistics on Household Wealth. OECD Publishing, Paris. https://doi.org/10.1787/9789264194878-en

Schürz, Martin. 2019. Überreichtum. Frankfurt/New York. Campus Verlag.

Vermeulen, P. 2016. Estimating the Top Tail of the Wealth Distribution. In: American Economic Review, 106 (5). 646–50.

Annex I

Table A1: Self-assessment by net wealth deciles  

	All households	Households with incorrect self-assessment
Actual decile	Correct self-assessment	Average misestimation	Average estimated decile
	%	Deciles
1	39.2	2.2	3
2	22.6	1.3	3
3	24.0	0.9	4
4	20.3	0.4	4
5	26.2	–0.6	4
6	14.3	–1.4	5
7	13.0	–2.2	5
8	2.6	–3.1	5
9	0.1	–3.7	5
10	5.9	–4.0	6
Source: HFCS Austria 2021, OeNB.

Annex II

It includes tables on socioeconomic characteristics, additional characteristics along the income and wealth distribution, the household main residence, mortgages and household vulnerability, variables typically used for (the calibration of) macro models, and COVID-19 related information.

1 Socioeconomic characteristics

Table A1a: Net wealth by age groups  

Age	Population share	Mean	Median
	%	EUR thousand
0–24 years	2.7	41.4	7.7
25–39 years	15.1	174.5	29.7
40–59 years	37.0	352.7	170.3
60 years and over	45.2	298.9	170.5
Source: HFCS Austria 2021, OeNB.
Note: This table shows population shares as well as mean and median net wealth across age categories, with age referring to the age of the financially knowledgeable person.

Table A1b: Net wealth by education level  

Education	Population share	Mean	Median
	%	EUR thousand
Compulsory education or below	14.6	141.9	22.2
Apprenticeship, vocational school	35.7	212.6	85.7
Upper secondary, school-leaving certificate	36.2	370.0	166.6
University, technical college	13.4	464.1	278.3
Source: HFCS Austria 2021, OeNB.
Note: This table shows population shares as well as mean and median net wealth across education categories, with the level of education referring to the financially knowledgeable person.

Table A1c: Net wealth by occupation status  

Occupation	Population share	Mean	Median
	%	EUR thousand
Self-employed	4.1	670.9	428.1
(Skilled) blue-collar worker	11.3	185.8	36.7
White-collar worker	28.9	275.5	163.4
Civil servant	3.1	308.4	229.3
Farmer	0.9	2,122.8	927.8
Pensioner	43.1	293.7	161.3
Unemployed	4.2	83.8	6.7
Other	4.5	145.3	9.8
Source: HFCS Austria 2021, OeNB.
Note: This table shows population shares as well as mean and median net wealth across occupational categories, with the occupation status referring to the financially knowledgeable person.

Table A1d: Net wealth across the income and wealth distribution  

Distribution	Population share	Wealth share	Mean	Median
	%		EUR thousand
1st gross income decile	10	5.1	149.2	5.9
2nd gross income decile	10	6.2	183.0	15.4
3rd gross income decile	10	5.3	156.3	21.1
4th gross income decile	10	7.3	213.9	47.8
5th gross income decile	10	8.7	254.6	128.4
6th gross income decile	10	10.0	292.4	164.0
7th gross income decile	10	10.3	301.1	168.9
8th gross income decile	10	10.9	318.6	206.1
9th gross income decile	10	11.2	329.0	216.6
10th gross income decile	10	25.0	733.3	465.2
1st net wealth decile	10	-0.2	-5.5	0.3
2nd net wealth decile	10	0.2	5.6	5.1
3rd net wealth decile	10	0.6	16.2	15.8
4th net wealth decile	10	1.2	36.0	35.1
5th net wealth decile	10	2.8	81.6	79.3
6th net wealth decile	10	5.9	172.5	173.0
7th net wealth decile	10	8.2	240.6	238.3
8th net wealth decile	10	11.7	341.9	340.7
9th net wealth decile	10	18.1	531.6	518.6
10th net wealth decile	10	51.5	1514.4	1048.8
Source: HFCS Austria 2021, OeNB.
Note: This table shows population and wealth share as well as mean and median net wealth across the income and net wealth distribution. In the first net wealth decile the debt outweight assets and thus the wealth share is negative.

Table A2: Net wealth by socioeconomic characteristics1  

	Population share	Conditional mean	Conditional median
	%	EUR thousand
Single household	38.2	178.7	26.7
Two-person household	34.9	323.4	179.0
Three-person household	12.8	348.6	213.3
Household with 4 members or more	14.1	476.7	212.7
Owns main residence	47.6	547.4	333.7
Rents own residence	45.1	59.9	16.0
Uses main residence for free	7.3	74.7	26.2
Bottom 50% of the net wealth distribution	50.0	26.8	15.7
P50-P80 of the net wealth distribution	30.0	251.7	238.3
P80-P95 of the net wealth distribution	15.0	635.0	600.0
Top 5% of the net wealth distribution	5.0	2,192.6	1,642.3
Willingness to take risk: low2	69.2	233.3	118.6
Willingness to take risk: medium	21.5	404.0	145.6
Willingness to take risk: high	9.3	480.2	118.6
Life satisfaction: low3	1.4	262.5	22.5
Life satisfaction: medium	12.8	142.1	13.0
Life satisfaction: high	85.8	316.0	158.0
Poor hand-to-mouth households4	33.1	12.3	7.1
Rich hand-to-mouth households	26.3	335.4	232.3
Non-hand-to-mouth households	40.7	493.7	276.2
Political party preference
ÖVP5	23.6	347.2	197.0
SPÖ	20.8	224.2	97.2
FPÖ	8.5	341.3	75.2
Die Grünen	10.9	319.9	189.4
NEOS	3.4	415.7	139.9
other or none	32.8	263.5	60.3
Source: HFCS Austria 2021, OeNB.
1 This table shows the population shares as well as conditional mean and median net wealth values of each subgroup.
2 The HFCS asked respondents about their risk attitudes on a scale from 1 to 10. We categorize 1-4 as not willing to take risk (low), 5-6 as medium, and 7-10 as willing to take risk (high).
3 The HFCS in Austria asked respondents about their life satisfaction on a scale from 0 to 10. We categorize 0-3 as not satisfied (low), 4-6 as medium, and 7-10 as satisfied (high).
4 We follow Kaplan et al. (2014) to categorize hand-to-mouth households whose financial assets are less than half their yearly gross income. If a household owns real assets in the form of the household’s main residence, other real estate or business assets, it is classified as rich, otherwise as poor hand-to-mouth household.
5 The HFCS asked people about the political party they feel closest to (even if they may not vote for it). The parties listed are those represented in the Austrian parliament at the time of the survey. The question leaves space for non-association.

Table A3: Saving rate of net income by age groups and across the income and wealth distribution  

Age	Mean	Median
	%
0–24 years	8.4	7.1
25–39 years	14.4	9.8
40–59 years	16.2	11.3
60 years and older	16.9	12.0
Distribution
1st gross income quintile	12.9	6.8
2nd gross income quintile	13.7	10.5
3rd gross income quintile	17.1	12.9
4th gross income quintile	17.5	13.5
5th gross income quintile	19.2	14.0
1st net wealth quintile	9.7	5.6
2nd net wealth quintile	13.6	9.9
3rd net wealth quintile	14.5	10.7
4th net wealth quintile	18.6	14.7
5th net wealth quintile	24.0	19.3
Source: HFCS Austria 2021, OeNB.
Note: Age refers to the age of the household’s financially knowledgeable person. The savings rate is defined as monthly savings plus debt repayment divided by net monthly household income.

2 Income and wealth characteristics

Table A4: Sources of income across the income and wealth distribution  

	Employment		Self-employment		Pension		Rental income
	Participation	Conditional median	Participation	Conditional median	Participation	Conditional median	Participation	Conditional median
	%	EUR thousand	%	EUR thousand	%	EUR thousand	%	EUR thousand
All	55.7	45.2	10.1	14.4	47.3	30.0	4.3	4.9
Income
1st gross income decile	18.2	9.2	9.6	8.9	48.1	14.0	1.4	x1
2nd gross income decile	31.9	19.3	5.0	6.3	67.3	19.7	2.8	x
3rd gross income decile	40.6	24.1	6.3	5.4	60.0	25.4	2.2	x
4th gross income decile	46.6	30.8	7.7	16.4	54.7	31.1	2.4	x
5th gross income decile	47.5	37.6	6.3	11.7	55.9	38.1	3.0	x
6th gross income decile	50.5	43.9	9.9	31.6	52.0	45.2	5.1	x
7th gross income decile	64.1	51.0	12.8	16.9	47.5	51.8	2.6	x
8th gross income decile	80.0	64.3	8.9	17.0	32.4	60.4	4.2	x
9th gross income decile	87.7	77.0	9.9	15.0	27.1	49.3	7.1	x
10th gross income decile	90.1	94.2	24.2	45.6	28.3	44.7	12.7	8.3
Wealth
1st net wealth decile	48.0	24.8	5.7	5.5	38.8	16.4	x	x
2nd net wealth decile	49.6	27.9	6.6	14.4	45.7	21.7	x	x
3rd net wealth decile	54.2	35.0	3.4	30.6	46.6	24.5	x	x
4th net wealth decile	56.7	45.6	5.5	8.6	45.3	36.5	x	x
5th net wealth decile	63.5	57.2	10.2	7.0	42.7	32.0	2.2	x
6th net wealth decile	57.4	59.3	7.2	16.3	50.0	31.8	1.6	x
7th net wealth decile	60.6	64.8	7.9	33.4	43.4	35.6	2.8	x
8th net wealth decile	52.9	59.2	7.2	31.1	53.6	31.8	5.2	x
9th net wealth decile	53.9	58.1	16.0	11.3	61.0	35.7	10.3	4.4
10th net wealth decile	60.3	52.9	31.0	20.8	46.2	37.6	21.0	8.2
Source: HFCS Austria 2021, OeNB.
1 Cells displayed as “x” do not have enough observations to be displayed.
Note: This table shows participation rates as well as conditional median gross income values across income and net wealth deciles. Selected sources of income are displayed.

3 Households main residence

Table A5: Household main residence (HMR) ownership across regions  

	Participation	Conditional mean	Conditional median
	%	EUR thousand
Vorarlberg	56.0	584.0	500.0
Tyrol	52.6	770.4	576.0
Salzburg	50.7	398.3	400.0
Upper Austria	50.0	436.5	371.6
Carinthia	53.9	290.9	300.0
Styria	56.9	237.5	200.0
Burgenland	67.7	242.2	200.0
Lower Austria	63.3	242.3	200.0
Vienna	18.9	436.6	317.9
Source: HFCS Austria 2021, OeNB.
Note: This table shows participation rates as well as conditional mean and median values for households’ main residences across provinces in Austria.

4 Mortgages and household vulnerability

Table A6a: Collateralized debt and income  

	2021
	%
Share of households with collateralized debt, all households	13.9
Share of households with collateralized debt, 1st income quintile (gross)	3.9
Share of households with collateralized debt, 2nd income quintile (gross)	6.1
Share of households with collateralized debt, 3rd income quintile (gross)	11.4
Share of households with collateralized debt, 4th income quintile (gross)	20.0
Share of households with collateralized debt, 5th income quintile (gross)	28.3
Share of collateralized debt in % of total debt	84.5
Gross income, all households, median (EUR thousand)	43.0
Gross income, households with collateralized debt, median (EUR thousand)	68.8
Source: HFCS Austria 2021, OeNB.
Note: This table shows information about mortgages and income to assess the debt sustainability of households in Austria. We display mortgage participation over the income distribution and the share of mortgages in total debt. Additionally, it can be seen that mortgage holders at the median have higher income than the total population.

Table A6b: Debt burden indicators and vulnerability measures  

	2021
	%
Debt to income (DTI),1 median collateralized debt (collateralized debt)	84.1
DTI>=3, in % of households with collateralized debt	16.1
DTI>=3, share of debt held by these households as a percentage of total collateralized debt	46.1
Debt service to income (DSTI),2 median (debt payments for collateralized debt)	11.0
DSTI>=40, in % of households with collateralized debt	3.1
DSTI>=40, share of debt held by these households as a percentage of total collateralized debt	7.9
Loan to value (LTV),3 median (household main residence, HMR)	19.2
LTV>=90, in % of households with collateralized debt on their HMR	3.6
LTV>=90, share of debt held by these households as a percentage of total HMR collateralized debt	17.2
Source: HFCS Austria 2021, OeNB.
1 Debt to income (DTI) is defined as collateralized debt divided by gross income, calculated for households with collateralized debt. The threshold of 3 to indicate potential vulnerability is taken from the literature.
2 Debt service to income (DSTI) is defined as the ratio of the monthly mortgage debt payments to gross household income, calculated for households with collateralized debt. The 40% threshold to indicate potentially vulnerable households is taken from the literature.
3 The loan-to-value ratio (LTV) is derived for households’ main residence only, dividing the current outstanding amount of mortgages on the HMR by the current value of the HMR.

5 Variables for macro models

Table A7a: Wealth transfers  

	Participation	Conditional mean	Conditional median
	%	EUR thousand
All inheritances and gifts simple value	40.3	159.2	49.9
All inheritances and gifts net present value (3% interest)	40.3	275.4	98.1
Gifts simple value	15.8	157.7	43.2
Inheritances simple value	27.6	141.9	44.0
Source: HFCS Austria 2021, OeNB.
Note: In the HFCS, wealth transfers are recorded as gifts and/or inheritance types and the value at the time of ownership transfer (simple value). This table shows all the transfers with the value given and calculated as the net present value with an interest rate of 3%. Additionally, this table displays the split between types. Participation rates together with conditional mean and median levels are shown.

Table A7b: Wealth transfers (simple value of all inheritances/gifts) by education level and across the net wealth distribution  

	Share of households who have inherited / received a gift	Conditional mean	Conditional median
	%	EUR thousand
Education
Compulsory education or below	34.8	59.8	16.7
Apprenticeship, vocational school	34.8	112.9	43.0
Upper secondary, school-leaving certificate	41.4	204.9	56.5
University, technical college	57.7	210.8	119.5
Distribution
1st net wealth decile	19.7	20.7	4.9
2nd net wealth decile	17.5	11.6	3.7
3rd net wealth decile	22.5	29.4	7.6
4th net wealth decile	29.0	47.1	15.1
5th net wealth decile	36.5	56.4	22.3
6th net wealth decile	34.0	124.0	70.0
7th net wealth decile	42.3	119.7	86.8
8th net wealth decile	63.2	128.6	65.6
9th net wealth decile	61.5	170.3	73.9
10th net wealth decile	76.6	413.2	204.0
Source: HFCS Austria 2021, OeNB.
Note: This table shows all gifts and/or inheritance types and the value recorded at the time of ownership transfer. Participation rates as well as conditional mean and median values are reported. Education refers to the level of education of the financially knowledgeable person.

Table A8: Households who can borrow EUR 5,000  

	Share of households who can borrow in %
Distribution
1st gross income decile	43.2
2nd gross income decile	49.6
3rd gross income decile	57.2
4th gross income decile	59.5
5th gross income decile	66.2
6th gross income decile	57.6
7th gross income decile	60.5
8th gross income decile	61.8
9th gross income decile	69.0
10th gross income decile	82.9
1st net wealth decile	28.9
2nd net wealth decile	41.2
3rd net wealth decile	64.9
4th net wealth decile	57.6
5th net wealth decile	58.4
6th net wealth decile	56.9
7th net wealth decile	57.1
8th net wealth decile	75.7
9th net wealth decile	79.5
10th net wealth decile	87.5
Source: HFCS Austria 2021, OeNB.
Note: This table shows the population share of households who report being able to borrow EUR 5,000 from a friend or a relative.

Table A9: Attitudes about risk, trust and the future  

	Risk	Trust	Future
	Average
Distribution
1st gross income decile	6.2	5.3	6.2
2nd gross income decile	5.6	5.4	5.6
3rd gross income decile	6.1	5.4	6.1
4th gross income decile	6.1	5.5	6.1
5th gross income decile	6.4	5.6	6.4
6th gross income decile	6.6	5.9	6.6
7th gross income decile	6.6	5.9	6.6
8th gross income decile	6.8	6.3	6.8
9th gross income decile	7.0	6.5	7.0
10th gross income decile	6.1	6.4	6.1
1st net wealth decile	6.1	5.3	6.1
2nd net wealth decile	6.1	5.2	6.1
3rd net wealth decile	6.3	5.4	6.3
4th net wealth decile	6.6	6.0	6.6
5th net wealth decile	6.2	6.0	6.2
6th net wealth decile	6.9	6.1	6.9
7th net wealth decile	6.9	6.5	6.9
8th net wealth decile	6.3	5.9	6.3
9th net wealth decile	5.8	5.9	5.8
10th net wealth decile	6.1	5.8	6.1
Source: HFCS Austria 2021, OeNB.
Note: The HFCS in Austria collects information about people’s attitudes about risk-taking, trust in other people and the future. Respon dents indicate, on a range from 1 to 10, whether they have a very low or very high affinity to risk, whether they trust other people not at all or completely and whether they are not at all or very much worried about the future. The table shows average values across gross income and net wealth deciles.

Table A10a: Preference for taxation by occupation status  

	1pp wealth tax and 2pp reduction of income tax	1pp wealth tax and 5pp reduction of income tax
	%
Occupation
Self-employed	59.4	61.8
(Skilled) blue-collar worker	73.0	75.8
White-collar worker	77.5	79.6
Civil servant	63.6	77.0
Farmer	31.4	53.6
Pensioner	74.3	72.2
Unemployed	77.2	85.1
Other	78.5	86.3
Source: HFCS Austria 2021, OeNB.
Note: The question in the HFCS reads “Are you in favor of introducing a wealth tax of 1 percentage point while simultaneously reducing the taxation of income from work by 2 percentage points?” The table shows the percentages of households supporting the idea.

Table A10b: Preference for taxation across the income and wealth distribution  

	1pp wealth tax and 2pp reduction of income tax	1pp wealth tax and 5pp reduction of income tax
	% in favor
Distribution
1st gross income decile	75.0	78.0
2nd gross income decile	80.9	75.6
3rd gross income decile	75.4	80.9
4th gross income decile	76.4	79.8
5th gross income decile	73.6	76.7
6th gross income decile	70.4	70.7
7th gross income decile	73.0	74.8
8th gross income decile	72.0	74.4
9th gross income decile	83.3	78.3
10th gross income decile	60.5	65.5
1st net wealth decile	75.4	85.3
2nd net wealth decile	78.9	80.7
3rd net wealth decile	81.8	82.1
4th net wealth decile	80.5	82.5
5th net wealth decile	77.2	73.9
6th net wealth decile	80.9	78.7
7th net wealth decile	81.9	80.8
8th net wealth decile	72.1	70.4
9th net wealth decile	59.9	60.6
10th net wealth decile	52.0	59.6
Source: HFCS Austria 2021, OeNB.
Note: The question in the HFCS reads “Are you in favor of introducing a wealth tax of 1 percentage point while simultaneously reducing the taxation of income from work by 5 percentage points?” The table shows the percentages of households supporting the idea.

6 Covid related information

Table A11a: Average health indicators across the income and wealth distributions: In the past four weeks, about how often did respondents feel  

	rushed or under time pressure?	down and melancholic?	calm and balanced?	that they have a lot of energy?	strong physical pain?	that they accomplished less in their work or daily activities than they actually wanted to because of physical health problems?	that they were limited in the nature of their activities?	that they accomplished less in their work or daily activities than they actually wanted to because of emotional or psychological problems?	that they did their work or tasks less carefully than usual?	that they were limited in their social contacts, such as with friends, acquaintances, or relatives, due to physical health or emotional problems?
	Average
Distribution
1st gross income decile	3.9	3.5	2.5	3.2	3.7	3.7	3.7	3.8	4.1	4.0
2nd gross income decile	4.2	3.8	2.3	3.1	3.9	3.9	4.0	4.2	4.3	4.3
3rd gross income decile	3.9	4.0	2.4	2.9	4.1	3.9	4.0	4.3	4.6	4.5
4th gross income decile	3.9	4.0	2.3	2.9	4.0	4.0	4.1	4.4	4.5	4.4
5th gross income decile	4.0	4.1	2.3	2.8	4.2	4.2	4.2	4.5	4.6	4.5
6th gross income decile	3.8	4.0	2.3	2.7	4.1	4.0	4.1	4.5	4.6	4.6
7th gross income decile	3.7	4.2	2.3	2.6	4.3	4.3	4.4	4.6	4.7	4.7
8th gross income decile	3.5	4.0	2.6	2.6	4.3	4.0	4.3	4.4	4.7	4.8
9th gross income decile	3.4	4.2	2.7	2.5	4.4	3.8	4.3	4.6	4.8	4.8
10th gross income decile	3.5	4.2	2.7	2.7	4.5	4.3	4.4	4.7	4.7	4.8
1st net wealth decile	3.8	3.5	2.6	3.2	3.9	3.8	3.9	3.9	4.1	4.1
2nd net wealth decile	3.9	4.0	2.3	2.9	4.0	4.1	4.1	4.3	4.5	4.4
3rd net wealth decile	3.9	4.0	2.3	2.9	4.1	4.2	4.2	4.5	4.6	4.5
4th net wealth decile	3.7	4.0	2.4	2.7	4.2	4.0	4.3	4.5	4.7	4.6
5th net wealth decile	3.7	4.1	2.5	2.8	4.2	3.9	4.2	4.4	4.7	4.6
6th net wealth decile	3.9	4.1	2.5	2.8	4.0	3.8	4.0	4.4	4.6	4.7
7th net wealth decile	3.7	4.0	2.5	2.7	4.3	3.9	4.1	4.4	4.6	4.7
8th net wealth decile	3.9	4.2	2.4	2.7	4.2	4.1	4.1	4.5	4.6	4.7
9th net wealth decile	3.8	4.1	2.4	2.9	4.2	4.2	4.2	4.5	4.6	4.6
10th net wealth decile	3.5	4.1	2.3	2.7	4.3	4.3	4.3	4.6	4.6	4.7
Source: HFCS Austria 2021, OeNB.
Note: The HFCS in Austria asked respondents about their health and wellbeing. The answers to these questions relate to the financially knowledgeable person and range from 1 to 5 (1 - always, 2 - often, 3 - sometimes, 4 - almost never, 5 - never). The table shows averages.

Table A11b: Estimated change in net income during the COVID-19 pandemic across the income and wealth distribution  

	Decrease by		Change by	Increase by
	25% or more	5% to 25%	less than 5%	5% to 25%	25% or more
All	1.6	4.7	84.4	6.9	2.4
Distribution
1st gross income quintile	3.2	4.5	83.3	5.3	3.8
2nd gross income quintile	1.8	2.3	86.6	6.5	2.8
3rd gross income quintile	1.5	4.3	85.5	7.4	1.4
4th gross income quintile	0.6	6.8	82.0	8.3	2.2
5th gross income quintile	0.9	5.6	84.6	7.0	1.9
1st net wealth quintile	2.1	5.0	81.2	7.4	4.2
2nd net wealth quintile	2.4	5.1	83.3	6.3	2.8
3rd net wealth quintile	1.2	3.2	86.6	7.4	1.7
4th net wealth quintile	0.8	2.7	89.8	6.3	0.4
5th net wealth quintile	1.4	7.4	81.1	7.1	3.0
Source: HFCS Austria 2021, OeNB.
Note: The HFCS asked respondents about changes in net income due to COVID-19. In connection with the infomation on net monthly income, we calculated percentage changes as displayed in this table.

Table A11c: Estimated change in savings during the COVID-19 pandemic across the income and wealth distribution  

	Saved less	Saved more	No change
	%
All	20.8	15.8	63.4
Distribution
1st gross income quintile	14.0	18.9	67.1
2nd gross income quintile	24.5	13.7	61.9
3rd gross income quintile	23.3	12.2	64.5
4th gross income quintile	22.8	16.8	60.3
5th gross income quintile	19.4	17.4	63.2
1st net wealth quintile	13.7	21.9	64.4
2nd net wealth quintile	24.7	12.9	62.4
3rd net wealth quintile	17.1	13.7	69.2
4th net wealth quintile	22.9	14.2	62.9
5th net wealth quintile	25.6	16.3	58.1
Source: HFCS Austria 2021, OeNB.

Table A11d: Impact of the COVID-19 pandemic on work  

	Lost work	Lost total income	Lost part of income	Reduction of work time because of care duties	Not working due to illness	Short- time work	Working from home
	%
All	3.4	2.2	7.5	0.9	0.9	15.6	18.8
Distribution
1st gross income quintile	5.5	3.4	7.3	0.6	1.1	7.6	5.2
2nd gross income quintile	2.7	1.4	7.0	0.9	0.6	10.8	7.9
3rd gross income quintile	3.7	1.8	6.8	0.8	0.8	13.5	12.7
4th gross income quintile	3.4	1.4	7.8	1.0	0.7	22.9	22.0
5th gross income quintile	1.7	2.9	8.9	1.1	1.1	23.4	46.4
1st net wealth quintile	6.4	2.6	9.2	1.1	1.8	14.8	6.1
2nd net wealth quintile	4.4	1.2	6.5	2.3	0.8	15.8	17.9
3rd net wealth quintile	1.9	1.0	5.5	0.2	0.0	16.1	25.0
4th net wealth quintile	1.8	1.8	4.9	0.3	0.4	16.1	21.2
5th net wealth quintile	2.5	4.3	11.6	0.3	1.2	15.5	23.9
Source: HFCS Austria 2021, OeNB.

Table A11e: Impact of the COVID-19 pandemic on finances  

	Delayed payment of credit installment or rent	Re-negotiation of credit terms	Taken out credit	Drawdown of savings or sale of financial assets	Delayed purchase of home, car or other	Reduction of expenses on food, clothes, travel or other consumption goods and services
	% as a share of households experiencing an income loss due to COVID-19
All	4.5	1.3	3.8	67.1	7.5	44.5
Distribution
1st gross income quintile	11.9	5.1	8.4	39.4	12.7	65.9
2nd gross income quintile	4.6	0.0	0.0	55.6	8.5	64.8
3rd gross income quintile	8.8	4.1	0.0	49.0	16.4	63.9
4th gross income quintile	4.3	0.0	4.5	79.2	4.9	43.3
5th gross income quintile	1.1	0.0	2.8	76.2	5.3	29.1
1st net wealth quintile	15.0	6.1	4.6	40.0	13.2	74.4
2nd net wealth quintile	7.2	0.0	5.3	80.1	16.2	43.7
3rd net wealth quintile	0.0	0.0	3.2	82.4	2.0	34.8
4th net wealth quintile	0.0	0.0	3.7	77.5	2.4	35.5
5th net wealth quintile	3.4	1.9	2.4	43.6	7.2	44.7
Source: HFCS Austria 2021, OeNB.

Table A11f: Convincing argument for wealth tax against the backdrop of COVID-19  

	The gap between the rich and the poor in Austria is too large, and a wealth tax could help reduce it	The wealthy have become richer in recent years; it’s time for them to give something back	If tax increases are necessary, it is better to tax wealth rather than income from employment	The government needs to plug the budget hole caused by the COVID-19 pandemic	A wealth tax would contribute to generating funds for government services	Introducing a wealth tax now would help minimize the tax burden for future generations	None of the arguments
	%
All	66.2	58.6	56.6	50.3	42.3	36.9	10.5
Distribution
1st gross income quintile	66.6	67.2	54.2	44.6	36.2	25.2	9.6
2nd gross income quintile	61.6	64.8	59.6	45.4	35.4	28.4	12.7
3rd gross income quintile	66.6	61.4	53.2	52.1	39.4	37.2	9.5
4th gross income quintile	65.7	53.6	56.0	51.4	44.2	39.9	10.7
5th gross income quintile	70.5	45.7	60.0	57.8	56.7	54.1	10.1
1st net wealth quintile	66.7	68.6	60.5	45.2	40.2	26.6	7.8
2nd net wealth quintile	68.5	64.3	60.7	51.1	41.1	34.1	6.9
3rd net wealth quintile	69.1	51.3	56.9	58.1	47.6	44.9	9.4
4th net wealth quintile	70.0	55.1	54.3	50.1	45.6	42.1	10.5
5th net wealth quintile	56.8	53.5	50.6	46.8	37.2	37.0	18.0
Source: HFCS Austria 2021, OeNB.
Note: The question reads: “There are many arguments both for and against the introduction of a wealth tax in Austria. Which of the arguments listed below do you find convincing in favor of implementing a tax on net assets?”

Table A11g: Life satisfaction  

	Average
Distribution
1st gross income decile	7.1
2nd gross income decile	7.6
3rd gross income decile	7.9
4th gross income decile	7.8
5th gross income decile	8.0
6th gross income decile	8.2
7th gross income decile	8.2
8th gross income decile	8.1
9th gross income decile	8.3
10th gross income decile	8.6
1st net wealth decile	6.8
2nd net wealth decile	7.6
3rd net wealth decile	7.9
4th net wealth decile	8.3
5th net wealth decile	8.1
6th net wealth decile	8.0
7th net wealth decile	8.0
8th net wealth decile	8.2
9th net wealth decile	8.4
10th net wealth decile	8.4
Source: HFCS Austria 2021, OeNB.
Note: The HFCS asked respondents how satisfied they are in general with their lives. The values run from 0 (totally dissatisfied) to 10 (completely satisfied). The table displays average values.