Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Housing Units Built Before 1950 reports the number of housing units built before 1950 in each location. Domain
This data collection contains a stratified 1-percent sample of households, with separate records for each household, each "sample line" respondent, and each person in the household. These records were encoded from microfilm copies of original handwritten enumeration schedules from the 1950 Census of Population. Geographic identification of the location of the sampled households includes Census regions and divisions, states (except Alaska and Hawaii), Standard Metropolitan Areas (SMAs), and State Economic Areas (SEAs). The data collection was constructed from and consists of 20 independently-drawn subsamples stored in 20 discrete physical files. The 1950 Census had both a complete-count and a sample component. Individuals selected for the sample component were asked a set of additional questions. Only households with a sample line person were included in the 1950 Public Use Microdata Sample. The collection also contains records of group quarters members who were also on the Census sample line. Each household record contains variables describing the location and composition of the household. The sample line records contain variables describing demographic characteristics such as nativity, marital status, number of children, veteran status, education, income, and occupation. The person records contain demographic variables such as nativity, marital status, family membership, and occupation. (Source: downloaded from ICPSR 7/13/10)
Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08251.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Data and Code for replication of results. Abstract of paper: In this paper, we use k-medians clustering to categorize urban neighborhoods according to the evolution of their Black population share from 1950 through 1990. We use the resulting classifications to compare the dynamics of median home values and rents for census tracts with rapid racial change, tracts with gradual racial turnover, tracts with a stable high Black population share, and tracts with a stable low Black population share. Our results imply that Black households that bought homes in neighborhoods with rapid racial change were likely to have lost money or barely broken even by 1990.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q1 2025 about sales, housing, and USA.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
포털 유럽연합 데이터 Dataset Direct Download Service (WFS): Built areas dedicated to housing in 1950 on Les Deux-Sèvres
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q1 2025 about sales, median, housing, and USA.
Older housing can impact the quality of the occupant's health in a number of ways, including lead exposure, housing quality, and factors that may exacerbate respiratory conditions, like asthma. Data from the U.S. Census Bureau contains Census Tract estimates of housing age, and Allegheny County assessment data provides parcel-level information on the year residential properties were built.
In 2021, close to ten percent of the ***** million homes in the United States were from the first decade of the 21st century. Between 2000 and 2009, approximately **** million homes were constructed.
The data compilation is a review of the state-aided housing construction development in the Federal Republic of Germany. Public housing aims at the supply of cost-saving housing space for a special group of people, specified by law. In addition to the creation of low-cost living space the acquisition of owner-occupied real estate has been funded according to the second housing act, so that real estate was possible for broad levels of the population. Using different forms of subsidies (construction cost and expense subsidy, interest subsidy), the rents could be reduced below a rent needed to cover the costs of the residence and thereby opened for the legitimate low-income groups (direct funding of the projected buildings or flats: object-based aid or object support). This law has been replaced in 2001 by the reform of the social housing law. It regulates the housing and other measures to support households with rental housing, including housing cooperatives and the creation of owner-occupied real estate property for households that cannot adequately supply themselves with living space on the housing market. The construction of social housing in Germany on the basis of the second housing act has been a form of state transfer payment. Additionally social housing policy up to the 90s with its comprehensive public investments has been an important element of the state’s impact on the economy and urban development policy. This social housing act has been replaced by the new social housing law in 2001, a housing policy support instrument of the federal government and the governments of the single German federal ‘Länder’ (federal states), which consists of actions on several levels: social housing assistance, housing benefits, property development, building society promotion, housing bonus, pension fund law, residential support programs of the KfW development bank "initiative to build cost-effective and quality conscious”. The statistics of the grants for social housing applies to housing construction projects that are funded by the public sector in social housing. In addition, the purchase of existing homes, which were funded by public sector, is included. The statistics on permits included until 1999 the following information: (1) Funded apartments and buildings (new building), without / with condominiums, (2) grant funds by purpose (promoting pathways), (3) financial ressources and (4) structure in the fully funded housing construction (building size, number of buildings, number of apartments, living space, estimated cost). Depending on the purpose of the granted funding between the following cases has been distinguished: Cases funded by means of the so called first funding procedure. These are cases of the traditional publicly funded social housing.Since 1966 further cases were funded by means of the so called second funding procedure. Funding of housing units in the frame of tax-advantaged housing construction for people with higher incomes are cases belonging to the second funding procedure. Finally, from 1989 cases funded by means of the agreed funding, the so called third funding procedure. Those building projects, in which between lender, grant donor, and builder an agreement is made on amount and use of the funding, covered by the third funding procedure. According to the act on the reform of the social housing law (2001) an annual statistics on the governmental granted funding is produced. Data tables in HISTAT (Topic: Bautätigkeit, Wohnungen): A. Bewilligungen, im öffentlich geförderten sozialen Wohnungsbau (1960-1999) A.01a Übersicht: Öffentlich geförderte Wohnungen im sozialen Wohnungsbau, Früheres Bundesgebiet, Deutschland (1950-2003)A.01b Bewilligungen im öffentlich geförderten sozialen Wohnungsbau: Gebäude und Wohnungen, Früheres Bundesgebiet (1950-1999)A.01c Bewilligungen im öffentlich geförderten sozialen Wohnungsbau: Gebäude und Wohnungen, Neue Länder (1991-1999)A.01d Bewilligungen im öffentlich geförderten sozialen Wohnungsbau: Gebäude und Wohnungen, Deutschland (1991-1999)A.02a Förderungsmittel nach Art der Förderung (Förderungswege), Früheres Bundesgebiet (1960-1998)A.02b Förderungsmittel nach Art der Förderung (Förderungswegen), Neue Länder (1991-1998)A.02c Förderungsmittel nach Art der Förderung (Förderungswegen), Deutschland (1991-1998)A.03a Veranschlagte Finanzierungsmittel insgesamt nach Finanzquellen, Früheres Bundesgebiet (1960-1998)A.03b Veranschlagte Finanzierungsmittel insgesamt nach Finanzquellen, Neue Länder (1991-1998)A.03c Veranschlagte Finanzierungsmittel insgesamt nach Finanzquellen, Deutschland (1991-1998)A.04 Veranschlagte Finanzierungsmittel insgesamt nach Förderungswegen (1960-1999) B. Struktur im voll geförderten reinen Wohnungsbau (1960-1999) B.01a Wohngebäude mit 1 und 2 Wohnungen (Förderung insgesamt): Gebäudezahl, Wohnungsgröße und veranschlagte Gesamtkosten nach Kostenarten, Früheres Bundesgebiet (1962-1998)B.01b Wohngebäude mit 1 und 2 Wohnungen (Förderung in...
The study was commissioned by the German settlement and state pension bank with the objective to analyze the historical and future role of social housing in Germany. Another objective of the investigation was to evaluate 47 years of social housing and give recommendations for its future tasks. The results of the investigation give an overview over the role of social housing in different periods of the development of the housing market since 1950. The study also shows differences in social housing in the various federal states. “The present investigation summarizes almost 50 years of social housing and raises the question whether the entire system of social housing fits to the framework and conditions of the future housing market which can be predicted today with a relative certainty. The indicators for the future development of population and households indicate since already two decades that in the second half of the 90s there will be a decline in demand and afterwards a long stagnation in the housing demand on a lower level. Through the huge wave of immigrants in West Germany with more than five million persons the discussion of the 80s about the adjustment of housing subsidies was postponed again. Today, after the decline in immigration and smaller new generations that enter in the age of household foundation the question is raised again and seems even more urgent.” (Hübl, L./Möller, P., 1997, a. cit., p. 4f) The rules of social housing were discussed lively since its implementation. In the 45 years that passed since the approval of the first law housing in 1950 it a lot of changes and support methods were undertaken in order to be compatible with the social and economic framework. Important changes were induced especially trough the implementation of the law “III. Förderwegs” (Third funding way) in 1989. All changes were steps on the way to a higher flexibility of funding instruments. Data tables in HISTAT:A. Old states of Germany: Housing completions and authorizations of social housingA.01 Housing completions altogether and authorizations of social housing in the old states of Germany (1950 – 1995)A.02 Population, Households and stock of housing in the old states of Germany (1950 – 1987)A.03 Authorizations of social housing in the old states of Germany (1950-1995)B. Social housing in the new states of Germany and in East Berlin B.01 Social housing in the new states of Germany and in East Berlin (1991-1995) C. Development of population, construction activities and authorizations of social housing at provincial level Register of tables in HISTAT: A. Old states of Germany: Housing completions and authorizations of social housingA.01 Housing completions altogether and authorizations of social housing in the old states of Germany (1950 – 1995)A.02 Population, Households and stock of housing in the old states of Germany (1950 – 1987)A.03 Authorizations of social housing in the old states of Germany (1950-1995) B. Social housing in the new states of Germany and in East Berlin B.01 Social housing in the new states of Germany and in East Berlin (1991-1995) C. Development of population, construction activities and authorizations of social housing at provincial levelC.01 Schleswig – Holstein: Development of population, construction activities and authorizations of social housing (1953-1995)C.02 Hamburg: Development of population, construction activities and authorizations of social housing (1953-1995)C.03 Lower Saxony: Development of population, construction activities and authorizations of social housing (1953-1995) C.04 Bremen: Development of population, construction activities and authorizations of social housing (1953-1995)C.05 North Rhine - Westphalia: Development of population, construction activities and authorizations of social housing (1953-1995)C.06 Hesse: Development of population, construction activities and authorizations of social housing (1953-1995)C.07 Rhineland - Palatinate: Development of population, construction activities and authorizations of social housing (1953-1995)C.08 Saarland: Development of population, construction activities and authorizations of social housing (1953-1995)C.09 Baden - Württemberg: Development of population, construction activities and authorizations of social housing (1953-1995)C.10 Bavaria: Development of population, construction activities and authorizations of social housing (1953-1995)C.11 Berlin – West: Development of population, construction activities and authorizations of social housing (1953-1995)
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Homeownership Rate in the United States (RHORUSQ156N) from Q1 1965 to Q1 2025 about homeownership, housing, rate, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about books. It has 1 row and is filtered where the book is Dunbar in the 1950s : rationing, housing, entertainment, shops and shopping. It features 7 columns including author, publication date, language, and book publisher.
Summary File 3, v1 (2000): Housing Units Built Before 1950 (%) displays percentage of housing units built before 1950 in the United States. See more information at http://dx.doi.org/10.7927/H42R3PMN.
Der Datensatz enthält für die gegebenen Länder jeweils zwei Zeitreihen für die Wohneigentumsquote. Die erste Zeitreihe besteht aus den Rohdatenpunkten. Die Wohneigentumsquote ist in den meisten Ländern nur zu bestimmen Volks- oder Wohnungszählungszeitpunkten erhoben worden. Deswegen liegen für die Rohdaten Messungen nur zu einzelnen Zeitpunkten vor. Die Rohdaten aller Länder können aus dem Menü ‚Beschreibung‘ (blauer Button) unter dem letzten Punkt ‚Materialien zur Studie‘ / ‚Download weiterer Texte zu dieser Studie im PDF Format (Forschungsberichte, Publikationen, Materialien zur Studie)‘ (orangener Button mit PDF-Symbol) als Excel-Datei heruntergeladen werden. Die zweite Zeitreihe geht von der gleichen Datengrundlage aus und fügt eine lineare Interpolation hinzu, damit die Variable in Panelanalysen verwendet werden kann. Die lineare Interpolation kann man damit rechtfertigen, dass die Wohneigentumsquote eine sich nur langsam verändernde Größe ist. Ferner zeigen die jüngeren jährlichen Daten aus Umfragen, dass die Reihe keine großen Sprünge macht. Die interpolierten Zeitreihen befinden sich im Datenteil der Studie (orangener Button mit der Aufschrift ‚146 Zeitreihen (1900-2015) 1 Tabelle). Hier kann die Tabelle entweder komplett downgeloadet werden, oder es können Ländergruppen nach Kontinent oder einzelne Länder ausgewählt werden. Zur Definition der Wohneigentumsquote, der Ländervergleichbarkeit und länderspezifischen Besonderheiten sollten folgende methodische Punkte berücksichtigt werden: Erstens gibt es die auf die Wohnungseinheiten basierende Definition der Wohneigentumsquote, die alle selbstgenutzten Wohn-Einheiten zählt und sie durch alle Gebäude-Einheiten teilt. Diese Definition gilt für die Daten, die auf den Wohnungszählungen der Länder basieren, und der Autor S. Kohl bezieht sich auf diese Definition für die frühesten Zeiträume der Wohneigentums-Quoten. Zweitens hängt die auf Gebäude- bzw. Wohn-Einheiten basierende Definition davon ab, was als Gebäude-Einheit zählt und was zum Wohnungsbestand gehört. Die häufigsten internationalen Vergleiche basieren auf UN (UN 1974, Doling 1997: 35: 154) oder EU-Daten, die lediglich die jeweiligen nationalen statistischen Definitionen wiederholen, die sich erheblich unterscheiden (Behring, Helbrecht und Goldrian 2002). Obwohl die Definitionen der Wohneinheit zwischen den OECD-Ländern sehr ähnlich sind (vgl. Donnison und Ungerson 1982: 42), ist die Einbeziehung von z.B. Anhängern, Saison- und Wohnmobilen in den USA eine Ausnahme (US-Census 2013), die rund 7% des Wohnungsbestandes ausmachen und zu einer deutlich überdurchschnittlichenWohneigentumsquote führen. Diese Einheiten würden, wenn sie statistisch signifikant wären, in Deutschland wahrscheinlich nicht als Wohneinheiten gelten. Der Wohnungsbestand kann sich unterscheiden je nach dem, ob Unterkünfte wie Ferienhütten, Zweitwohnsitze, Wohnwagen, Schiffe, saisonale Wohneinheiten, leerstehende oder zeitweise unbewohnte Einheiten als Wohneinheiten behandelt werden. Die deutsche Definition des Wohnungsbestandes gehört zu den konservativeren im Vergleich zu denjenigen anderer nationaler Statistikämter (Destatis 1989: 7, SE / CZR 2004). Die einheitsbasierte Definition wird durch Kriegszerstörungen verzerrt, wie in Deutschland in den 1950er Jahren, als die offizielle Wohneigentumsquote auf Einheitsbasis mit 39,1% angegeben wurde. Die Zerstörung von überwiegend städtischem Wohnungsbau durch Luftschutzbauten hatte den gesamten Wohnungsbestand reduziert. Der Autor stützt sich deshalb im Falle von Deutschland auf die realistischere Hausbesitzquote von 26,7% im Jahr 1950 stützen (Glatzer 1980: 246). Zweitens gibt es haushaltsbasierte Definitionen der Wohneigentumsquote, die alle Eigentümer-Haushalte (Wohnungs-Eigentümer und Haus-Eigentümer) in das Verhältnis setzt zur Gesamtzahl der Haushalte. Diese Definition, die auf repräsentativen Umfragedaten basiert, ersetzte die auf Wohneinheiten basierenden Daten ab den 1980er Jahren. Der Autor bezieht sich auf diese Definition für die neueren Daten seiner Wohneigentumsquoten. Umfragen berücksichtigen tendenziell Wohnungs- und Hauseigentümer aus den mittleren Klassen stärker als andere Bevölkerungsgruppen. Dies scheint vor allem bei den Eurostat-Umfragen zu gelten, die deutlich höhere Zahlen liefern als nationale Erhebungen, weil das Verhältnis von befragten Eigentümerhaushalten zu allen Befragten höher ist als wohneinheitenbasierte Berechnungen. Dadurch kommt es zu einer Verzerrung bzw. zu höheren Eigentums-Quoten. Aus diesem Grund hat sich der Autor, soweit möglich, auf Quellen außerhalb von Eurostat gestützt, um den Vergleich mit Nicht-EU-Ländern nicht zu verzerren. Eine dritte Definition ist bevölkerungsbezogen und setzt die in Eigenheimen lebende Bevölkerung in das Verhältnis zur Bevölkerung insgesamt (Braun 2004). Diese Definition führt aufgrund der statistischen Prävalenz von Familien in den Eigentümerhaushalten zu höheren Wohneigentumsquoten als die erstgenannte. Dies...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Household is an occupied housing unit. Householder is a person in whose name the housing unit is rented or owned. This person must be at least 15 years old. Family household is a household in which there is at least 1 person present who is related to the householder by birth, marriage or adoption. Family is used to refer to a family household. In general, family consists of those related to each other by birth, marriage or adoption.
This data uses the householder's person weight to describe characteristics of people living in households. As a result, estimates of the number of households do not match estimates of households from the Housing Vacancy Survey (HVS). The HVS is weighted to housing units, rather than the population, in order to more accurately estimate the number of occupied and vacant housing units. For more information about the source and accuracy statement of the Annual Social and Economic Supplement (ASEC) of the Current Population Survey (CPS) see the technical documentation accessible at: http://www.census.gov/programs-surveys/cps/technical-documentation/complete.html
https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
Graph and download economic data for Residential Property Prices for Japan (QJPN628BIS) from Q1 1955 to Q4 2024 about Japan, residential, HPI, housing, price index, indexes, and price.
The median sales price of new homes sold in the United States increased steadily from 1965 to 2023. In 2023, a newly built home cost approximately ******* U.S. dollars. That was a decline of nearly ****** U.S. dollars and the first decrease since 2018. Prices varied greatly across different regions in the country, with the most expensive housing found in the Northeast region.
After the entry into force of major housing policy laws in the first 20 or 30 years of the Federal Republic of Germany (First and Second Housing Act; housing - premium law; Housing Benefit Act; Urban Development Act) the associated support ("subsidies", financial or tax benefits which affect households immediately, indirectly but with importance for their economic live, are accounted as subsidies for housing, this for example includes the promotion of savings capital formation in building societies) contributed significantly until the end of 1980 to the construction of 16,7 million apartments (of which 7.1 million were family homes) and to the modernization of housing stock. Wealth creation was influenced by decisive impulses. Also direct transfer payments (public, housing premiums, etc.) and tax incentives (property tax reduction, accelerated depreciation under § 7b income tax act, depreciation according to § 82a of the income tax etc.) were made. The volume increased also by other not exactly quantifiable loss of tax revenue resulting from the regulation of the general tax law (including fiscal consequences of the build-owner model). Further losses of tax revenue as a consequence of not contemporary basic values need to be taken into account. “Insofar the research question of the author ‘Subsidies without counter performance?’ should deal with a much discussed problem because one can consider losses of tax revenue and allocation of funds as integral parts conscious political action and not as arbitrary distribution of election gifts. But actually this is a terra incognita. The extent of housing shortage after the Second World War did not leave room for such discussions. Therefor a systematic debate about the distributional effects of housing policy began relatively late, it started when in spite of the high volume of funding disparities in the provision of housing, the financial restrictions the public sector became more obvious.” (Kornemann, a. cit., p. 42 f.). It is undisputed that the state aid has contributed significantly to the sustainable improvement of the housing situation in the Federal Republic of Germany. The author summarizes the main results of government incentives for equity capital formation and for rent or load reduction as well as for the development of the volume of housing construction in overviews and concludes with a critique of the services and instruments of official housing policy.
Data tables in HISTAT: A.01 Government support measures for equity capital creation, in Mill. DM (1950-1980) A.02 Government support measures for Rental or load reduction, in Mill. DM (1950-1980) A.03 Volume of housing and construction completions, in billion DM (1950-1980)
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- Berl...
https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms
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 (...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Housing Units Built Before 1950 reports the number of housing units built before 1950 in each location. Domain