Germany DE: Standardised Price-Income Ratio: sa data was reported at 88.538 Ratio in 2024. This records a decrease from the previous number of 93.578 Ratio for 2023. Germany DE: Standardised Price-Income Ratio: sa data is updated yearly, averaging 95.901 Ratio from Dec 1980 (Median) to 2024, with 45 observations. The data reached an all-time high of 146.141 Ratio in 1981 and a record low of 76.343 Ratio in 2010. Germany DE: Standardised Price-Income Ratio: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Germany – Table DE.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual. Nominal house prices divided by nominal disposable income per head. Net household disposable income is used. The population data come from the OECD national accounts database. The long-term average is calculated over the whole period available when the indicator begins after 1980 or after 1980 if the indicator is longer. This value is used as a reference value. The ratio is calculated by dividing the indicator source on this long-term average, and indexed to a reference value equal to 100.

About this dataset

Context

The dataset illustrates the median household income in German town, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for German town increased by $19,005 (37.58%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 8 years and declined for 5 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 town median household income. You can refer the same here

About this dataset

Context

The dataset illustrates the median household income in German town, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2021, the median household income for German town increased by $7,723 (15.90%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 5 years.

https://i.neilsberg.com/ch/german-ny-median-household-income-trend.jpeg" alt="German, New York median household income trend (2010-2021, 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. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 town median household income. You can refer the same here

About this dataset

Context

The dataset illustrates the median household income in New Germany, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for New Germany increased by $7,303 (9%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 7 years and declined for 6 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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

Germany National Income: Private Household Disposable Income (PD) data was reported at 637.006 EUR bn in Dec 2024. This records an increase from the previous number of 631.565 EUR bn for Sep 2024. Germany National Income: Private Household Disposable Income (PD) data is updated quarterly, averaging 384.658 EUR bn from Mar 1991 (Median) to Dec 2024, with 136 observations. The data reached an all-time high of 637.006 EUR bn in Dec 2024 and a record low of 244.521 EUR bn in Sep 1991. Germany National Income: Private Household Disposable Income (PD) data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.A067: ESA 2010: National Income: Current Price.

About this dataset

Context

The dataset illustrates the median household income in German Flatts town, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for German Flatts town increased by $9,985 (17.19%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Flatts town median household income. You can refer the same here

The present study deals with a special part of sectorial planning: provision of housing. The provision of housing in the Federal Republic of Germany (BRD) is divided in three different areas. Those areas are: Construction and housing industry, the social structure of the inhabitants and the physical structure of housing and housing estates. Governmental intervention measures mainly address those three areas: they try to regulate the housing provision and the rental prices through financial subsidies, the social distribution of housing through definition of target groups and the housing standards through urban planning and technical guidelines. Therefor the scientific investigation of housing provision needs to be about economic, sociological and urban and architectural aspects and needs to relate those aspects. The study of Kerstin Dornhöfer uses an integrated approach of the investigation of housing provision looking at those three aspects. The objective of the study is to develop criteria for the evaluation, planning and implementation of measures for housing provision. “The state controlled housing provision has its origin in the historical development before the Second World War. Besides the material basis of housing provision in the BRD also knowledge about and experiences with comprehensive steering instruments and its effectiveness resulted from the historical development of housing supply and its state controlled steering. This raises the question to what extent this knowledge and experiences had an impact on governmental policies concerning housing provision in the BRD. The description and analysis of the investigation is based on the following guiding questions: - Which steering instruments the BRD uses to achieve higher effectiveness concerning the socio-political postulate of improving the housing circumstances for the broad masses of people? - Could the dependence of housing provision and is governmental steering on the development of the total capital and on landed property , construction and housing construction capital be eliminated or at least gradually controlled? - What was the impact of governmental steering in the BRD? - How did it come to the current discrepancies in spite of all reform efforts and directing interventions? - What conditions were problematic for the improvement of housing circumstances for the broad masses of people? What are the relevant determinants for housing provision? The first part of this study deals with the description of housing provision for broad masses of people since the foundation of the BRD. This time is divided into four periods; each period begins with an important change in laws that indicated a change in in the governmental steering and transformations of economic and social circumstances. The description of the different periods helps to see the governmental steering instruments and its effectiveness regarding the historical circumstances. In the second part of the study the governmental objectives and steering instruments will be questioned and the circumstances of implementation will be identified based in three criteria. Those criteria are: (1) Housing standards and housing quality; (2) rental price (income-rent ratio); (3) Social distribution (broad masses of people as the target group of governmental steering). The question behind this is; if the thesis, which resulted from the historical development of housing provision before the Second World War, that governmental steering only takes place when the economic circumstances require and allow the public intervention and when public pressure forces governmental intervention, is also valid for the BRD.” (Dorhöfer, K., a. a. O., S. 11-13). Data tables in HISTAT: A. Federal Republic of Germany A.01 Development of population, housing stock and occupation density, BRD and West-Berlin (1950-1975) A.02 Ratio of housing stock and private households by size (1950-1974) A.03 Housing completions in the Federal Republic of Germany (1950-1975) A.04 Financing of housing construction in the Federal Republic of Germany, in percent (1950-1975) A.05 Building owners of housing in the Federal Republic of Germany, in percent (1950-1975) A.06 Price indices for residential buildings, cost of living, land without buildings and rents (1950-1975) A.07 Average monthly expenditures per four person worker-household with average income (1950-1975) A.08 Total cost of an apartment in social housing and average land prices in DM (1950-1975) A.09 Average living area, number of rooms per apartment, equipped with central heating system and bathroom in the BRD (1952-1975) A.10 Proportion of apartments per number of rooms per apartment in the Federal Republic of Germany (1952-1973) A.11 Construction activity of non-profit housing companies (1951-1975) A.12 Number of non-profit housing companies and number of members of housing cooperatives (1950-1975) A.13 Housing stock of the nonprofit housing companies and monthly rent (1951-1975) B. West- Berlin B.01 Housing completions in West-Berlin (1950-1975) B.02 Financing of public subsidized social housing construction in West-Berlin, in percent (1955-1975) B.03 Building owners of housing in West-Berlin, in percent (1953-1975) B.04 Average living area, equipped with central heating system and bathroom in West-Berlin (1953-1975) B.05 Proportion of apartments per number of rooms by apartments in West Berlin (1953-1975)

About this dataset

Context

The dataset illustrates the median household income in German township, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for German township increased by $24,981 (61.09%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 5 years and declined for 8 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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

About this dataset

Context

The dataset illustrates the median household income in German township, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2021, the median household income for German township increased by $27,620 (70.33%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 5 years and declined for 6 years.

https://i.neilsberg.com/ch/german-township-pa-median-household-income-trend.jpeg" alt="German Township, Pennsylvania median household income trend (2010-2021, 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. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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

About this dataset

Context

The dataset illustrates the median household income in German Valley, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for German Valley decreased by $24,494 (25.54%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Valley median household income. You can refer the same here

Datatable in the search- and downloadsystem HISTAT Information: HISTAT is offered only in German language. 01. Durchschnittslöhne und Lebenshaltungskosten in Ost- und Westdeutschland (= Average wages and cost of living in East and West Germany) (1938-1989) 02. Kaufkraftbereinigte Nettodurchschnittseinkommen der Arbeiter- und Angestelltenhaushalte der DDR in Relation zu denen der Bundesrepublik (= Net average income, adjusted for purchase power, of workers and employees households in the GDR in relation to those of the Federal Republic) (1950-1988) 03. Anteil der Eigentumsformen am Nettoprodukt der Wirtschaftsbereiche (= Share of different modes of ownership in the net product of economic sectors) (1950-1988) 04. Ausstattungsbestand der Haushalte in der DDR mit langlebigen technischen Konsumgütern (= Stock of Equipment of homes in the GDR with durable consumer goods) (1955-1989) 05. Entwicklung der Wohnungsversorgung in der SBZ/DDR und in der Bundesrepublik, Wohnungseinheiten (WEH) (= Development of housing supply in the former Sovjet occupation zone / GDR and the Federal Republic, housing units) (1939-1989) 06a. DDR/NBL: Struktur der Haushaltsausgaben nach Haushaltstypen, in Mark/DM (= Structure of household expenses by household types, in mark/DM) (1949-1992) 06b. BRD/ABL: Struktur der Haushaltsausgaben nach Haushaltstypen, in DM (Structure of household expenses, in DM) (1950-1992) 07. Sparquoten in der Bundesrepublik und der DDR (= Savings rates of the Federal Republic of Germany and of the former GDR) (1950-1989) Oskar Schwarzer beschäftigt sich im Rahmen seiner Untersuchung „Sozialistische Zentralplanwirtschaft in der SBZ/DDR. Ergebnisse eines ordnungspolitischen Experiments (1945-1989)“ (Stuttgart: Franz Steiner Verlag, 1999) in einem letzten Abschnitt gesondert mit dem Lebensstandard und der Eigentums- und Vermögensstruktur in der DDR. Die stetige Steigung des Lebensniveaus war ein erklärtes ideologisches Ziel der SED, zum einen, um die Legitimation der Parteiherrschaft zu erhöhen, und zum anderen, um soziale Unruhen zu verhindern. Dabei erreichte die DDR-Bevölkerung 1989 etwa den Stand des westdeutschen Niveaus von Anfang der 70er Jahre. Trotzdem war der Lebensstandard im Vergleich zur Produktivität in der DDR zu hoch. Das private Eigentum spielte in der DDR kaum eine Rolle. Es gab keinen Anreiz, Grund und Boden zu besitzen. „Das gesellschaftliche Volkseigentum war- ideologisch bedingt – die dominante Form des Eigentums“ (Schwarzer, a.a.O., S. 186) stellt Schwarzer fest. „Insgesamt hatte das Sparvermögen in der DDR stets einen Anteil von mehr als 80% am gesamten Geldvermögen der DDR“ (Schwarzer, a.a.O., S. 190). Die Analyse des Lebensstandards ist nach Oskar Schwarzer nur in vergleichender Perspektive sinnvoll Üblicherweise wird die Analyse auf der Ebene von Haushalten durchgeführt. „Der Begriff ‚Lebensstandard’ wird hier eine zweifacher Bedeutung zugewiesen: einmal als volkswirtschaftliche Größe (als volkswirtschaftliche Größe wird Lebensstandard durch das je Einwohner erwirtschaftete Bruttosozialprodukt ausgedrückt) und zum anderen als Lebenshaltung der einzelnen Haushalte. Da die Kapitalbildung, d.h. das Ergebnis der Spar- und Investitionsprozesses, ein sehr wichtiger Faktor der Wohlstandsentwicklung ist, muss auch die Fähigkeit und Art der Vermögensbildung als verbindender Faktor im Zeitablauf Berücksichtigung finden“ (Schwarzer, a.a.O., S. 169). Die Studie von Oskar Schwarzer berücksichtigt neben der Einnahmen- und Ausgabenrechnung privater Haushalte die Sparquoten und die Verschiebung des privaten in den staatlichen Sektor (Anteil der Eigentumsformen am Nettoprodukt der Wirtschaftsbereiche). Die Entwicklung einiger Indikatoren des Lebensstandards (Wohnungsversorgung, Ausstattungsbestand der Haushalte mit langlebigen technischen Konsumgütern in der SBZ/DDR) werden exemplarisch in Übersichten dargestellt. Datentabellen in HISTAT: 01. Durchschnittslöhne und Lebenshaltungskosten in Ost- und Westdeutschland (1938-1989) 02. Kaufkraftbereinigte Nettodurchschnittseinkommen der Arbeiter- und Angestelltenhaushalte der DDR in Relation zu denen der Bundesrepublik (1950-1988) 03. Anteil der Eigentumsformen am Nettoprodukt der Wirtschaftsbereiche (1950-1988) 04. Ausstattungsbestand der Haushalte in der DDR mit langlebigen technischen Konsumgütern (1955-1989) 05. Entwicklung der Wohnungsversorgung in der SBZ/DDR und in der Bundesrepublik, Wohnungseinheiten (WEH) (1939-1989) 06a. DDR/NBL: Struktur der Haushaltsausgaben nach Haushaltstypen, in Mark/DM (1949-1992) 06b. BRD/ABL: Struktur der Haushaltsausgaben nach Haushaltstypen, in DM (1950-1992) 07. Sparquoten in der Bundesrepublik und der DDR (1950-1989)