The number of one-person households in Germany has been increasing in the last decade, while the opposite was true for three-person homes. In 2024, around ** million German households had one occupant, while roughly **** million households had three people living in them. Aging population These trends may be rooted in various reasons, such as population developments, aging, urbanization, individual lifestyles, flexible living arrangements. When looking at the growing number of one-person households, depending on the age group, this increase may be due to being single, for example, as well as an older person living alone. The ************* of the German population was aged 40 to 59 years, followed by those aged 65 and older. In terms of housing situations, **** were renting. Residential building construction in Germany struggled somewhat in recent years. Decreasing household member numbers It is not just in Germany that households are decreasing in size. A similar trend has been seen in the United States. Household size is often very dependent on the financial status of individuals. Those with more money will often opt to live alone, whilst those on a lower income may have no choice but to have roommates or to continue living with their family.

About this dataset

Context

The dataset presents median household incomes for various household sizes in New Germany, MN, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, New Germany did not include 7-person households. Across the different household sizes in New Germany the mean income is $89,964, and the standard deviation is $21,357. The coefficient of variation (CV) is 23.74%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $58,099. It then further increased to $74,313 for 6-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/new-germany-mn-median-household-income-by-household-size.jpeg" alt="New Germany, MN median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for New Germany median household income. You can refer the same here

Key information about Germany Household Debt: % of GDP

• Germany household debt accounted for 50.3 % of the country's Nominal GDP in Sep 2024, compared with the ratio of 50.5 % in the previous quarter.
• Germany household debt to GDP ratio is updated quarterly, available from Dec 1991 to Sep 2024.
• The data reached an all-time high of 70.4 % in Dec 2000 and a record low of 50.3 % in Sep 2024.

CEIC calculates quarterly Household Debt as % of Nominal GDP from quarterly Household Debt and quarterly Nominal GDP. Deutsche Bundesbank provides Household Debt in EUR based on ESA 2010. Statistisches Bundesamt provides Nominal GDP in EUR based on ESA 2010. Household Debt as % of Nominal GDP prior to 1999 is based on ESA 1995.


Related information about Germany Household Debt: % of GDP

• In the latest reports, Germany Household Debt reached 2,400.6 USD bn in Sep 2024.
• Money Supply M2 in Germany increased 4.0 % YoY in Nov 2024.
• Germany Foreign Exchange Reserves was measured at 35.2 USD bn in Dec 2024.
• The Foreign Exchange Reserves equaled 0.3 Months of Import in Nov 2024.
• Germany Domestic Credit reached 6,470.9 USD bn in Oct 2024, representing an drop of 6.2 % YoY.
• The country's Non Performing Loans Ratio stood at 1.2 % in Dec 2022, compared with the ratio of 1.1 % in the previous year.

On average, a private household in Germany had financial assets worth around ******* euros, as of 2023. This was an increase compared to the year before at around ******* euros.Financial assets of private households consist of kept cash reserves, bank investments and securities (stocks, fixed-income securities and investment fund shares), as well as claims regarding insurance and pension schemes.

In 2023, there were approximately 1.35 children born per woman in Germany, a decrease compared to the previous year. This timeline shows the development of the fertility rate in Germany from 1990 to 2023.

About this dataset

Context

The dataset presents median household incomes for various household sizes in German Township, Pennsylvania, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, German township did not include 4, 5, or 7-person households. Across the different household sizes in German township the mean income is $83,459, and the standard deviation is $44,684. The coefficient of variation (CV) is 53.54%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2023, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $25,700. It then further increased to $130,644 for 6-person households, the largest household size for which the bureau reported a median household income.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for German township median household income. You can refer the same here

In 2023, German five-person households in detached houses with electric water heating consumed around ***** kilowatt hours of electricity a year, on average. Apartment buildings with the same system consumed ***** kilowatt hours.

The social and economic situation of foreign workers in the Federal Republic. Topics: Nationality of respondent; ethnic affiliation of respondents from former Yugoslavia; place of birth in Germany or foreign country; duration of stay in Germany up to now; estimated period of time still to be spent in Germany; visits to one´s native country since moving to Germany; visit to one´s native country in the previous year; planned visit to one´s native country in 1991; use of various means of transport for trips to native country; staying together with family members in Germany; number and ages of children in Germany; number of working members of household; number of over 15-year-olds in household; family members in native country; age of children in native country; greatest concerns and problems in Germany; interest in German citizenship; perceived attitude of Germans to guest workers at work; satisfaction with current job; most sympathetic party in Germany; average monthly expenditures for food and everyday necessities; preferred shopping places for food and everyday necessities as well as consumer goods and toys; residential status; amount of rent; rent increase for base rent or additional costs in the last year; satisfaction with apartment/housing; number of years of school; school degree in Germany or native country; type of school degree; self-assessment of knowledge of German (reading); completed vocational training as well as length of vocational training; car possession; car brand; new or used car; number of kilometers driven annually; net household income. Interviewer rating: presence of third persons during interview as well as influence through third parties; evaluation of communication; willingness of respondent to cooperate; knowledge of German and one´s own language. Also encoded was: state; city code. Die soziale und wirtschaftliche Situation ausländischer Arbeitnehmer in der Bundesrepublik. Themen: Nationalität des Befragten; ethnische Zugehörigkeit bei Befragten aus dem ehemaligen Jugoslawien; Geburtsort in Deutschland oder Ausland; bisherige Aufenthaltsdauer in Deutschland; geschätzter Zeitraum, der noch in Deutschland verbracht wird; Heimataufenthalte seit dem Umzug nach Deutschland; Heimataufenthalt im Vorjahr; geplanter Heimataufenthalt 1991; Verkehrsmittelnutzung bei Fahrten ins Heimatland; Zusammensein mit Familienangehörigen in Deutschland; Anzahl und Alter der Kinder in Deutschland; Anzahl der berufstätigen Haushaltsmitglieder; Anzahl der über 15jährigen im Haushalt; Familienmitglieder im Heimatland; Alter von Kindern im Heimatland; größte Sorgen und Probleme in Deutschland; Interesse an deutscher Staatsangehörigkeit; perzipierte Einstellung der Deutschen zu Gastarbeitern am Arbeitsplatz; Zufriedenheit mit derzeitigem Arbeitsplatz; sympathischste Partei in Deutschland; durchschnittliche monatliche Ausgaben für Lebensmittel und Dinge des täglichen Bedarfs; präferierte Kaufstätten für Lebensmittel und Dinge des täglichen Bedarfs sowie Gebrauchsgüter und Spielwaren; Wohnstatus; Miethöhe; Mieterhöhung für Grundmiete oder Nebenkosten im letzten Jahr; Zufriedenheit mit Wohnung/Unterkunft; Anzahl der Schuljahre; Schulabschluß in Deutschland oder Heimat; Art des Schulabschlusses; Selbsteinschätzung der Deutschkenntnisse (Lesen); abgeschlossene Berufsausbildung sowie Dauer der Berufsausbildung; PKW-Besitz; PKW-Marke; Neu- oder Gebrauchtwagen; jährliche Kilometerleistung; Haushaltsnettoeinkommen. Demographie: Alter; Familienstand; Beruf; Berufstätigkeit; Branche des Betriebes; Haushaltsgröße; Wohnsituation; Interviewerrating: Anwesenheit Dritter beim Interview sowie Beeinflussung durch Dritte; Bewertung der Verständigung; Kooperationsbereitschaft des Befragten; Kenntnisse der deutschen und der eigenen Sprache. Zusätzlich verkodet wurde: Bundesland; Ortskennziffer.

Germany DE: Contributing Family Workers: Modeled ILO Estimate: Male: % of Male Employment data was reported at 0.212 % in 2023. This records a decrease from the previous number of 0.216 % for 2022. Germany DE: Contributing Family Workers: Modeled ILO Estimate: Male: % of Male Employment data is updated yearly, averaging 0.393 % from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 0.494 % in 2005 and a record low of 0.166 % in 2019. Germany DE: Contributing Family Workers: Modeled ILO Estimate: Male: % of Male Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Employment and Unemployment. Contributing family workers are those workers who hold 'self-employment jobs' as own-account workers in a market-oriented establishment operated by a related person living in the same household.;International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;

The lack of a recent summarizing description of population density in Germany that contains detailed information of pre-industrial times motivated the author of this study to undertake an analysis of population history of Northern Germany between 1740 and 1840. The goal of the study is to analyze the development of population regarding different aspects of population history and historical demographics. The author tries to connect geographic data with family data and then he relates it with economic, political and cultural development. The main part of the study ‘population dynamics’ gives an overview over demographic developments in a century characterized by demographic changes. Insights in the general changes in population size, the phases of Northern German population development and in relevant components for increases in population (e.g. decrease in mortality) are given. Finally the population determinants are developed, first in a concrete regional historic context of some areas (Marsch, nordwestliches Binnenland, Münsterland, Ostwestfalen, Ostelbien) and then more general external factors are included in the analysis. The generative structure of pre-industrial population, the industrial development, seasonal work and colonization are covered. There is an extra chapter on the development of urban population which includes the factors: urbanization, decrease in mortality, first signs of birth controls and migration. These regional considerations are opposed to an investigation of the general framework of demographical changes. In this context also grain prices and prevention from smallpox are taken into account.

Systematic of the data:

Sub-regions: 1. Holstein 2. The Hanseatic cities 3. Mecklenburg and Wester Pomerania
4. Prussia’s middle provinces
5. Core area of Lower Saxony 6. Weser-Ems-Area 7. Westphalia

Topics: 1. Births (excl. still births) 2. Deaths (incl. still births) 3. Still births 4. Marriages 5. Illegitimate births
6. Infant and child mortality 7. Population status

Mortality tables: A. Holstein (Propsteien) 1775/98, 1801/05 B. East Friesland 1775/98, 1835/39 C. County of Mark und märkische Kreise 1775/98, 1820/34 D. Kurmark 1775/98, 1835/39

Register of data tables: - Probability of death decennially in the German Reich 1881/90 - Handed down census results from Braunschweig-Lüneburg - Advances is historical tables of Westphalia
- Migration balances of Prussian government districts 1816-1840 - Population and households in Hamburg 1764-1824 - Population in Northern Germany and Germany - Approximated values for net migration 1751-1840 - Age specific decline in mortality 1775/98-1835/39 - Decline in child mortality - Fertility and marriage behavior by family reconstruction - Proportion of singles by department s and arrodissements 1811 - Average age at birth ca. 1740-ca.1840 - Regression analysis on deaths (excl. children) – marriages - Regional differences in population increases - Population density and mortality 1780-1799 - Population balances of Marschgebiete und der Fehmarn Island - Population balances of North Western Germany (without Küstenmarsch) - Budget structures of the parish Vreden 1749 - Population balances of areas with high industry densities - Budget structures of County of Mark 1798 - Budget structures in Minden-Ravensburg and Tecklenburg 1798 - Natality, mortality and cottage industry in Ravensberg 1788-1798 - North Western German areas with low birth rates
- Colonists resident in Prussia 1740-1786 - Social structure of rural population 1750 – 1790/98 - Social structure of rural population in Halberstädter - Urban population (legal definition of city) - Mortality due to tuberculosis in rural and urban areas - Average mortality rates in large cities
- Infant mortality and decline in mortality in Berlin S - Rural and urban migration balances 1741/1778-1840 - Birth rates - Cumulative elasticity of population movement - Average marriage rates in Hannover in comparison - Mortality due to smallpox - Share of infant and child mortality due to smallpox -Magnitude of the decrease in child mortality - Reduction of infant mortality - Regional differences in the decline in infant mortality

The data can be requested via order form or by personal request via email or telephone. PDF-form and contact data: http://www.gesis.org/dienstleistungen/daten/daten-historische-sozialf/querschnittsdaten/

In 2025, the average monthly electricity bill for a 3-person household in Germany amounted to around 116.08 euros, a slight decrease compared to the previous year. Average components of a domestic electricity bill include the net network tariff and energy procurement.

The social and economic situation of foreign workers in the Federal Republic. Topics: nationality of respondent; ethnic affiliation of respondents from former Yugoslavia; place of birth in Germany or abroad; duration of stay in Germany up to now; estimated time period that will still be spent in Germany; visits to one´s native country since moving to Germany; visit to one´s native country in the previous year; planned visit to one´s native country 1994; use of various means of transport for trips to the native country; being together with family members in Germany; number and ages of children in Germany; number of members of household working; number of persons over 15 years in household; family members in native country; age of children in native country; greatest concerns and problems in Germany; interest in German citizenship; contacts with Germans in various areas; equal opportunities of foreigners and Germans in the search for work; perceived attitude of Germans to guest workers at work; satisfaction with current job; assessment of the relationship of Germans and foreigners in residential area; preference for Germans and foreigners living together as neighbors or segregation; most sympathetic party in Germany; average monthly expenditures for food and everyday necessities; preferred shopping places for food and everyday necessities as well as consumer goods and toys; residential status; amount of rent; rent increase for base rent or additional costs in the last year; length of residence in current residence; number of living-rooms; intent to move in the next two years; satisfaction with apartment/housing; number of years of school completed; school degree in Germany or native country; type of school degree; self-assessment of knowledge of German (reading); completed vocational training as well as length of vocational training; possession of a car; brand of car; new or used car; number of kilometers driven annually; net household income. Interviewer rating: presence of third persons during interview as well as influence through third parties; evaluation of communication; willingness of respondent to cooperate; knowledge of German and one´s own language; location of residence in city vicinity; type of residential building; high-rise part of town. Also encoded was: state; city code; city size.

The social and economic situation of foreign workers in the Federal Republic. Topics: Nationality of respondent; place of birth in Germany or foreign country; duration of stay in Germany up to now; estimated length of time that will still be spent in Germany; visit to one´s native country since moving to Germany; visit to one´s native country in the previous year; planned visit to one´s native country 1991; use of various means of transport for trips to native country; being together with family members in Germany; number and ages of children in Germany; number of working members of household; number of persons over 15-years-old in household; family members in native country; ages of children in native country; greatest concerns and problems in Germany; interest in German citizenship; perceived attitude of Germans to guest workers at work; satisfaction with current job; most sympathetic party in Germany; average monthly expenditures for food and everyday necessities; preferred shopping places for food and everyday necessities as well as consumer items and toys; residential status; amount of rent; rent increase for base rent or additional costs in the last year; satisfaction with apartment/housing; number of school years; school degree in Germany or native country; type of school degree; self-assessment of knowledge of German (reading); completed vocational training as well as length of vocational training; car possession; car brand; new or used car; number of kilometers driven annually; net household income. Interviewer rating: presence of third persons during interview as well as influence through third parties; evaluation of communication; willingness of respondent to cooperate; knowledge of German and one´s own language. Also encoded was: state; city code. Die soziale und wirtschaftliche Situation ausländischer Arbeitnehmer in der Bundesrepublik. Themen: Nationalität des Befragten; Geburtsort in Deutschland oder Ausland; bisherige Aufenthaltsdauer in Deutschland; geschätzter Zeitraum, der noch in Deutschland verbracht wird; Heimataufenthalte seit dem Umzug nach Deutschland; Heimataufenthalt im Vorjahr; geplanter Heimataufenthalt 1991; Verkehrsmittelnutzung bei Fahrten ins Heimatland; Zusammensein mit Familienangehörigen in Deutschland; Anzahl und Alter der Kinder in Deutschland; Anzahl der berufstätigen Haushaltsmitglieder; Anzahl der über 15jährigen im Haushalt; Familienmitglieder im Heimatland; Alter von Kindern im Heimatland; größte Sorgen und Probleme in Deutschland; Interesse an deutscher Staatsangehörigkeit; perzipierte Einstellung der Deutschen zu Gastarbeitern am Arbeitsplatz; Zufriedenheit mit derzeitigem Arbeitsplatz; sympathischste Partei in Deutschland; durchschnittliche monatliche Ausgaben für Lebensmittel und Dinge des täglichen Bedarfs; präferierte Kaufstätten für Lebensmittel und Dinge des täglichen Bedarfs sowie Gebrauchsgüter und Spielwaren. Demographie: Alter; Wohnsituation; Wohnstatus; Miethöhe; Mieterhöhung für Grundmiete oder Nebenkosten im letzten Jahr; Zufriedenheit mit Wohnung/Unterkunft; Anzahl der Schuljahre; Schulabschluß in Deutschland oder Heimat; Art des Schulabschlusses; Selbsteinschätzung der Deutschkenntnisse (Lesen); abgeschlossene Berufsausbildung sowie Dauer der Berufsausbildung; Beruf; Berufstätigkeit; Branche des Betriebes; Einkommen; Haushaltseinkommen; PKW-Besitz; PKW-Marke; Neu- oder Gebrauchtwagen; jährliche Kilometerleistung. Interviewerrating: Anwesenheit Dritter beim Interview sowie Beeinflussung durch Dritte; Bewertung der Verständigung; Kooperationsbereitschaft des Befragten; Kenntnisse der deutschen und der eigenen Sprache; Geschlecht. Zusätzlich verkodet wurde: Bundesland; Ortskennziffer.

Because of the growing number of inhabitants under the age of six and increased employment, there is a growing demand for childcare services in Germany. Although there is, in principle, a legal entitlement to a childcare place for children under the age of three and children from the age of three until they start school, this cannot be fulfilled everywhere. In particular, childcare for children under the age of three has been massively expanded in recent years, but demand cannot currently be met. The centres' revenues are made up of public funds and parental contributions. The latter only make up a comparatively small proportion. In the period from 2019 to 2024, industry revenue grew by an average of 2.3% per year, meaning that it is likely to amount to €50.9 billion in the current year. Turnover in the sector is expected to increase by 0.2% compared to the previous year.One of the biggest challenges currently facing the sector is the shortage of skilled labour, which is expected to increase further in the coming years due to growing demand. The federal government is currently planning various measures to make the profession of educator more attractive. For example, school fees have already been abolished in some federal states. In addition, the federal government would like to use a pilot project to demonstrate to the federal states the advantages of abolishing school fees and offering remuneration during training. As part of the Daycare Centre Quality Act, the state is investing in the creation of equal living conditions for children growing up in Germany. Early childhood education projects in the areas of language, nutrition and exercise are to be established in daycare centres. While the declining number of residents under the age of six in the current year is likely to limit demand, the expected increase in the number of births will have a positive effect on demand in the future.In the period from 2024 to 2029, turnover in the sector is expected to increase by an average of 3.4% per year, reaching 60 billion euros in 2029. More and more parents are dependent on childcare places for their children in order to be able to reconcile family and work, which is leading to a sharp increase in demand. From 2026, children of primary school age will also have a legal entitlement to a childcare place after school. It remains to be seen to what extent the measures taken by the federal states will help to meet the massive demand for childcare.