Please refer to the OECD Affordable Housing Database, indicator HC3.1.Population experiencing homelessness, https://www.oecd.org/content/oecd/en/data/datasets/oecd-affordable-housing-database.html.
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Summary of key data and information |
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|---|---|---|---|
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Official statistical definition of homelessness (Table 1) |
According to the Wohnungslosenberichterstattungsgesetz, Germany legally defines homelessness as follows: Homelessness exists when the use of an apartment by one person or a majority of persons from the same household is not secured by a tenancy agreement or a lease agreement or by a right in rem, or an apartment is not available to a person or a majority of persons in the same household for other reasons. |
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Latest national estimates of homelessness (Table 2, Table 3) |
531 600 individuals, representing 0.63% of the total population (2024) |
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42% are women, 57% are men |
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Point-in-time count, based on the Homeless Reporting Act homelessness report |
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ETHOS Light groups included |
Included:
Not included:
|
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|
Notes: Each ETHOS Light group includes one or more sub-categories of living situations. ETHOS Light groups are considered as “included” in the data collection approach if at least one of the sub-categories is counted. |
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Legal framework to collect data on homelessness (Table 4) |
The Wohnungslosenberichterstattungsgesetz governs data collection on homelessness in Germany. The legislation mandates the data collection of sheltered homelessness at the federal level as well as the regular assessment of potential improvements to the method to measure people experiencing homelessness to address measurement gaps. |
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Homelessness Strategy (Table 5) |
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Approaches to collect data on homelessness (Table 6) |
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Statistical definition |
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|---|---|
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Homelessness |
A person is considered homeless when: According to the law that became effective in April 2020 [Wohnungslosenberichterstattungsgesetz], a person is considered homeless when there is no rental or tenancy agreement for a flat (and no property rights); a flat is not available for other reasons. The following situations are counted in data collection efforts described in Table 2.DEU: staying in accommodation/shelter by care system; staying in homes, asylums, institutions or women’s houses because they lack a flat; living in cheap motels; staying with friends/family; and/or living in the street (rough sleepers). |
Presented according to ETHOS Light Typology
|
Year |
Headline estimate of homelessness (Individuals) |
% of total population |
ETHOS Light 1 People living rough |
ETHOS Light 2 People in emergency accommodation |
ETHOS Light 3 People in accommodation for the homeless |
ETHOS Light 4 People living in institutions |
ETHOS Light 5 People living in unconventional dwellings |
ETHOS Light 6 People staying with family/friends |
|---|---|---|---|---|---|---|---|---|
|
2022 |
262 600 |
0.31% |
38 500(a) |
178 100 |
Included in ETHOS 2 |
Not included |
Included in ETHOS 1 |
54 800(b) |
|
2024 |
531 600 |
0,63% |
47 300(c) |
439 500(e, f) |
Included in ETHOS 2 |
Not included |
Included in ETHOS 1 |
60 400(d) |
|
Metadata:
|
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Note: Data based on the annual reporting of people sleeping in shelters for the homeless and the Biennial survey to count i) people sleeping rough and ii) people staying with family/friends. The sum of all ETHOS categories is larger than the headline estimate due to an estimate of 8 800 (2022) and 15 600 (2024) double entries. (a,c) Sum of adults and children living rough (37 400 adults and 1 100 children in 2022); 45 250 adults and 2 050 children in 2024). (b,d) Sum of adults and children staying with family/friends (49 300 adults and 5 500 children in 2022; 53 800 adults and 6 600 children in 2024). (e) Newer data is available from the 2025 annual report of people sleeping in shelters, which counted 474 700 people in ETHOS Light 2 and 3. The table reports data from 2024 for these categories to ensure alignment with the most recent biennial survey (Destatis, 2025). (f) In 2024, ETHOS Light 2 included 136 900 Ukrainian refugees staying in temporary accommodation.
Source: OECD Questionnaire on Affordable and Social Housing (QuASH); Federal Ministry of Labour and Social Affairs (BMAS), 2022; Federal Ministry for Housing, Urban Development and Construction (BMWSB), 2024; Homeless Reporting Act homelessness report.
Presented according to ETHOS Light Typology, 2024
|
|
Single adults |
Men(b) |
Women(b) |
Youth (aged under 25) |
Older people (aged 65 and over(c)) |
Families with children (# of households) |
|---|---|---|---|---|---|---|
|
Headline estimate of homelessness(a) |
184 947 |
303 842 |
220 651 |
194 196 |
NA |
NA |
|
As percentage of total population experiencing homelessness(a) |
35% |
57% |
42% |
37% |
NA |
NA |
|
ETHOS Light 1: People living rough |
26 735 |
33 384 |
8 599 |
3 642 |
2 082 |
NA |
|
ETHOS Light 2: People in emergency accommodation |
139 045 |
240 920 |
189 505 |
176 000 |
38 235 |
NA |
|
ETHOS Light 3: People in accommodation for the homeless |
Included in ETHOS Light 2 |
Included in ETHOS Light 2 |
Included in ETHOS Light 2 |
Included in ETHOS Light 2 |
Included in ETHOS Light 2 |
NA |
|
ETHOS Light 4: People living in institutions |
Not included |
Not included |
Not included |
Not included |
Not included |
Not included |
|
ETHOS Light 5: People living in unconventional dwellings |
Included in ETHOS Light 1 |
Included in ETHOS Light 1 |
Included in ETHOS Light 1 |
Included in ETHOS Light 1 |
Included in ETHOS Light 1 |
NA |
|
ETHOS Light 6: People staying with family/friends |
19 167 |
29 538 |
22 547 |
14 554 |
1 068 |
NA |
|
Metadata:
|
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Note: Sub-groups are not mutually exclusive. (a) The headline estimate by demographic breakdown does not include 15 570 people who are subject to double‑counting across the two data sources used in 2024: the annual reporting of people sleeping in shelters for the homeless (Destatis) and the biennial survey to count people sleeping rough and people staying with family/friends (BMWSB, 2024). Consequently, the percentages reported across all demographic groups should be understood as upper-bound estimates, as a share of the headline estimate of homelessness of 531 600. (b) Gender could be reported male, female, “diverse/other” or unspecified. Combined with double counting, percentages therefore do not sum to 100%. (c) 65 years or older applies to ETHOS Light 1 and ETHOS Light 6; 60 years or older applies to ETHOS Light 2. Given the different age groups, no estimate on the percentage of this age group is provided.
Source: OECD Questionnaire on Affordable and Social Housing (QuASH); Ministry for Housing, Urban Development and Construction (BMWSB), 2024; Destatis, 2024.
|
Legal framework |
|
|---|---|
|
Law that governs data collection on homelessness |
|
|
Legal obligations |
The law mandates data collection (of sheltered homelessness only) at the federal level. The law also mandates that the government must regularly assess how measurement of people experiencing homelessness can be improved and address measurement gaps. |
|
Homelessness strategies in place |
|
|---|---|
|
National Homelessness Strategy |
|
|
Regional and/or local homelessness strategies exist |
Yes |
|
6.1. Annual reporting of people sleeping in shelters for the homeless |
|
|---|---|
|
Description The Federal Statistical Office has the mandate to conduct an annual point-in-time count of all people staying in nationally registered shelters on 31 January. Shelter providers report into a centralised system the number of shelter users on that day each year. |
|
|
Type of count generated Point-in-time |
Methods Service‑based method |
|
Lead authority(ies) Federal Statistical Office |
Source(s) of information Service providers |
|
Scope National |
Depth of data Data disaggregated by (age, sex, nationality, duration of homelessness, etc.) |
|
Frequency Annual |
|
|
ETHOS Light groups included:
Note: Each ETHOS Light group includes one or more sub-categories of living situations. ETHOS Light groups are considered as “included” in the data collection approach if at least one of the sub-categories is counted. |
|
|
6.2. Biennial survey to count 1) people sleeping rough and 2) people staying with family/friends |
|
|
Description A research institute appointed by the Federal Ministry for Housing, Urban Development and Building conducts a survey of clients of a range of service providers that have been identified as likely to provide support to people experiencing homelessness (e.g. food banks, health clinics, youth centres, job centres, drop in-centres, women’s support services). The approach relies on multiple methods: administrative data are used to contact potential service providers to the homeless population at the municipal level; a stratified geographic count (a variation of a street count) is used to determine the geographic areas that should be covered in the survey; and service‑based methods are used to collect data from researchers conducting interviews/surveys with individuals experiencing homelessness. |
|
|
Type of count generated Point-in-time |
Methods
|
|
Lead authority(ies) Federal Ministry for Housing, Urban Development and Building A research institute |
Source(s) of information The individuals experiencing homelessness are the direct source of data. |
|
Scope National scope: 1) random representative sample of rural and urban municipalities; 2) the likelihood of a municipality’s inclusion in the sample increases with population size |
Depth of data Data are disaggregated by sociodemographic characteristics |
|
Frequency Biennial |
|
|
ETHOS Light groups included:
Note: Each ETHOS Light group includes one or more sub-categories of living situations. ETHOS Light groups are considered as “included” in the data collection approach if at least one of the sub-categories is counted. |
|
Please refer to the OECD Affordable Housing Database, indicator HC3.1.Population experiencing homelessness, https://www.oecd.org/content/oecd/en/data/datasets/oecd-affordable-housing-database.html.
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