The number of housing units added to the housing stock in New York-Newark-Jersey City in 2022 and 2023 was ****** short of the number of new households formed that year. Meanwhile, the number of net additions to the housing stock in the metro area of Los Angeles fell short of the number of households both years. Meanwhile, the metropolitan areas of Dallas, Atlanta, Phoenix, and San Francisco among others had enough housing units added to its stock to meet the new demand.

The number of homes added to the housing stock in South and North Holland was higher than the number of new households in those regions in 2023. However, between 2012 and 2023, there were 106,111 fewer homes added to the housing stock than households formed in South Holland, with that housing shortage being 83,905 in North Holland. Those were the regions with the highest housing shortages.

Most regions in France had more housing starts than new households formed in 2023. Corsica, Hauts-de-France, Occitania, and Nouvelle-Aquitaine were the only regions that had fewer construction starts of housing units than households formed between 2015 and 2023. That could signal that there was not enough housing supply in those regions.

Metros with growing job opportunities naturally have higher housing shortages than other metros. Syracuse, NY and Anchorage, AK, were the metros with the most acute housing need in the United States as of December 2024. For every new building permit, there were over ***** new jobs created during that period. The number of housing starts has increased in recent years, but in order for housing needs to be met, homes will need to be built in the metros where they are needed the most.

In 2023, the two largest cities in Germany, Berlin and Hamburg, had a housing shortage. That means that there were less housing units added to the stock than new households formed in those city-states. The southern states of Bavaria and Baden-Württemberg had the largest housing shortage between 2021 and 2023.

Between 1968 and 2023, there had been over six million housing unit completions more than new households formed in the United States. That means that throughout that period the number of homes and apartments completed increased at a faster pace than the number of households, indicating no deficit. However, if only completions of single-family homes were considered, there was a housing deficit. From 1969 to 2023, there were roughly 16 million less single-family homes completed than new households were formed. Those figures do not include the number of housing units demolished, and therefore do not reflect the exact housing shortage, as some of those homes completed might not exist anymore due to demolitions or natural disasters.

Explore key insights from a recent presentation on housing, labour and economic pressures, and why long-term policy direction is vital to Australia’s future.

The Micro Housing market, an innovative sector within the real estate and construction industries, has rapidly gained traction as a viable solution to urbanization challenges and housing shortages. Micro Housing refers to compact living spaces, often ranging from 100 to 400 square feet, designed to accommodate indiv

Financial overview and grant giving statistics of Sussex Community Crisis Housing Services Inc.

Housing Index in the United Kingdom decreased to 511.60 points in June from 511.80 points in May of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

North West England and the West Midlands had the largest mismatch between the supply and demand of housing in 2023. If the number of dwellings added to the housing stock continues being lower than the number of new households formed there would be a housing shortage. However, London showed some signs of having a housing shortage, as it had the largest difference between the homes built and the households formed between 2016 and 2023.

Graph and download economic data for Real Residential Property Prices for China (QCNR628BIS) from Q2 2005 to Q1 2025 about China, residential, HPI, housing, real, price index, indexes, and price.

Florida International University had the highest student housing shortage in 2024, with ****** beds. That means that the shortfall between enrollment and supply of beds was over ******. California State University Long Beach followed closely behind, with a shortage of ****** beds, while the Utah Valley University had a shortfall of ****** beds. Among the ** universities with the highest student housing shortage, the University of California (Santa Barbara) came last, with a deficit of ****** beds.

This metadata document provides details of the data used for the dissertation: “Improving Commercial Property Price Statistics”. The study explores data related and methodological challenges in the construction of price statistics for commercial real estate.

Short abstract of the dissertation

Since the financial crisis of 2008, National Statistical Institutes (NSIs) have worked to develop commercial real estate (CRE) indicators for official statistics. These indicators are considered essential in financial stability monitoring and may help contain the consequences of future crises or even prevent future crises. However, progress at NSIs to develop these indicators has been slow due to challenges like low observation numbers and high heterogeneity. This dissertation addresses these challenges by exploring data issues and suggesting methodological improvements.

The first three studies focus on data challenges regarding share deals and portfolio sales. Both are real estate trading constructions that are specific to CRE. The results show that share deals and portfolio sales significantly differ from the rest of the market. Therefore, under specific circumstances, CRE indicators could benefit from including these trading types. The final two studies focus on methodological challenges regarding index construction methods and the role of sustainability in real estate pricing. The results show that, by combining established techniques, it is possible to construct price indices that meet official statistics’ standards. Furthermore, the results uncover a complex relationship between sustainability and prices: while energy efficiency generally involves price premiums, others aspects like health and environment display a discount for low sustainable properties.

Overall, this dissertation contributes to the legislative framework that is currently being developed for EU countries to publish official statistics for commercial real estate and adds to the academic discussion by presenting innovative techniques for data analyses and index construction.

Data sources

The following data sources were used:

1. Bussiness Register (Statistics Netherlands)
2. Transactions linked to the Register of Adresses and Buildings (BAG)
3. Linking table buildings and companies (Dutch Land Registry Office)
4. Property Transfer Tax data (Dutch Tax Authorities)
5. Building sustainability scores (W/E advisors)Commercial real estate transactions (Dutch Land Registry Office)
6. Commercial real estate transactions (Dutch Land Registry Office)

Processing methodology

1. The data is originally stored in an SQL database and is processed with SQL and R code (version 4.2). In the code, the name of the table is tbl_SPE_2_ABR_Bedrijfsinfo. The data is used for deriving company transfers by comparing ownership states of various periods. The first period that an ownership differs of the same company indicates an ownership transfer.
2. The data is originally stored in an SQL database and is processed with SQL and R code (version 4.2). In the code, the name of the table is tbl_SPE_6_ABR_CompleetMicro. The data is used for calcuting the size of real estate share deals and estimating price developments by applying appropriate filters and counting the output.
3. The data is originally stored in an SQL database and is processed with R code (version 4.2). In the code, the name of the table is SPE_KADASTER. The data is used for finding real estate information that corresponds to company transfers by linking the company register (ABR) to the real estate register (BAG).
4. The data is originally stored in an SQL database and is processed with R code (version 4.2). In the code, the name of the table is tbl_SPE_3_OVB_Bedrijfsinfo. The data is used for deriving real estate share deals by linking this table (Kadaster) to the real estate register (BAG).
5. The data is originally stored in an SQL database and is processed with R code (version 4.2). In the code, the name of the table is duurzaamheid_input_regressie2. The data is used for finding the relationship between sustainabilty measures and real estate transaction prices by linking sustainabilty scores from a consultancy (WE) to transaction prices (Cadastre) and running regression analyses.
6. The data is originally stored in an SQL database and is processed with R code (version 4.2). In the code, the name of the table is tbl_OV20_pand. The data is used for 4 purposes (separate studies).

• (1) Chapter 3: Determining the price effect of portfolio sale by running regression analyses
• (2) Chapter 4: Developing methods to include portfolio sales in CPPI calcutions by using auxilary data of the real estate properties.
• (3) Chapter 5: Developing a price index method for small domains by using these data to test the outcomes
• (4) Chapter 6: Determining the relationship between sustatinability by running regression analyses

Data restrictions

As part of the CBS law, sharing micro-data outside of the CBS-environment is prohibited. Furthermore, CBS manages the data, but in some cases other parties are still formal owners of the data. The 2 other parties are The Land Registry Office and WE consultancy. Ownership and intellectual property rights are managed in contracts with both owners. It was agreed upon that the data can only be used for the purpose of the PhD study and that the microdata will never be externally disseminated. The data is still owned by them and the intellectual property rights of the analyses belong to me. An intended use of the microdata should be approved by both Statistics Netherlands and the formal data owner. Because of the above, no data can be publicly shared.

If one intends to do research on these data, an application for data use can be requested at CBS. CBS will charge costs for anonymising the data and providing a closed environment to work with the data. More information on this can be found at: https://www.cbs.nl/en-gb/our-services/customised-services-microdata/microdata-conducting-your-own-research

Contact information

Author: Farley Ishaak

Statistics Netherlands | Henri Faasdreef 312 | P.O. Box 24500 | 2490 HA The Hague

TU Delft | Delft University of Technology | Faculty of Architecture and the Built Environment

Department of Management in the Built Environment | P.O. Box 5043 | 2600 GA Delft

M +31 6 46307974 | ff.ishaak@cbs.nl | f.f.ishaak@tudelft.nl

Madrid and Catalonia were the Spanish regions with the highest housing shortage between 2015 and 2023. Throughout that period, there were ******* primary housing units added to the housing stock less than households formed in Catalonia. That negative difference reaching ******* in the Autonomous Community of Madrid.

In 2024, Miami was the housing market most at risk, with a real estate bubble index score of ****. Tokyo and Zurich followed close behind with **** and ****, respectively. Any market with an index score of *** or higher was deemed to be a bubble risk zone.

According to a survey conducted in 2024, ** percent of Americans believed that housing shortages are being caused by illegal immigrants in the United States. In comparison, ** percent of white Americans, ** percent of Hispanic Americans, and ** percent of Black Americans shared this belief.

The combined number of privately-owned single-family and multi-family housing completed between 2010 and 2024 was higher than the number of households formed in the United States. However, there was not enough single-family housing completed for all new households formed. For example, in 2023, there were **** million new households formed, but only **** single family homes built. Another issue that can lead to housing shortage is that those buildings are not always located in the place with the highest demand, which can still lead to housing shortages in locations with a high demand.