Among the countries with data for 2022, Finland was the one with the highest public spending on housing allowances. The United Kingdom spent 1.38 percent of its GDP on housing allowances. That type of policy is designed to help households with fewer resources meet the cost of their rental and housing costs.

Public spending on social rental in Austria amounted to 0.21 percent of its GDP in 2022. Meanwhile, Australia spent 0.28 percent of its GDP on social rental in the financial year ended in 2022. Those figures refer to the money transferred to the authorities that own and manage the social rental housing stock.

Venezuela Central Government: Expenditure: Ministry of Housing and Habitat data was reported at 0.000 VEF th in Sep 2010. This stayed constant from the previous number of 0.000 VEF th for Jun 2010. Venezuela Central Government: Expenditure: Ministry of Housing and Habitat data is updated quarterly, averaging 824,989.355 VEF th from Mar 2005 (Median) to Sep 2010, with 23 observations. The data reached an all-time high of 2,301,429.999 VEF th in Jun 2008 and a record low of 0.000 VEF th in Sep 2010. Venezuela Central Government: Expenditure: Ministry of Housing and Habitat data remains active status in CEIC and is reported by Ministry of Economy, Finance and Public Banking. The data is categorized under Global Database’s Venezuela – Table VE.F005: Central Government: Expenditure: Quarterly.

Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2023. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 117.5 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

The Netherlands, Austria, and Denmark were among the countries in the world with the highest proportion of social rental housing. As of 2021, over a third of the housing stock in the Netherlands was social rental, while it amounted to 21 percent in Denmark in 2022.

United States CES: AAE: Housing: Utilities: Fuels & Public Services data was reported at 3,884.000 USD in 2016. This records a decrease from the previous number of 3,885.000 USD for 2015. United States CES: AAE: Housing: Utilities: Fuels & Public Services data is updated yearly, averaging 2,489.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 3,921.000 USD in 2014 and a record low of 1,638.000 USD in 1984. United States CES: AAE: Housing: Utilities: Fuels & Public Services data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H039: Consumer Expenditure Survey.

Graph and download economic data for Expenditures: Property Taxes by Housing Tenure: Home Owner (CXU220211LB1702M) from 1984 to 2023 about homeownership, tax, expenditures, housing, and USA.

There is more to housing affordability than the rent or mortgage you pay. Transportation costs are the second-biggest budget item for most families, but it can be difficult for people to fully factor transportation costs into decisions about where to live and work. The Location Affordability Index (LAI) is a user-friendly source of standardized data at the neighborhood (census tract) level on combined housing and transportation costs to help consumers, policymakers, and developers make more informed decisions about where to live, work, and invest. Compare eight household profiles (see table below) —which vary by household income, size, and number of commuters—and see the impact of the built environment on affordability in a given location while holding household demographics constant.*$11,880 for a single person household in 2016 according to US Dept. of Health and Human Services: https://aspe.hhs.gov/computations-2016-poverty-guidelinesThis layer is symbolized by the percentage of housing and transportation costs as a percentage of income for the Median-Income Family profile, but the costs as a percentage of income for all household profiles are listed in the pop-up:Also available is a gallery of 8 web maps (one for each household profile) all symbolized the same way for easy comparison: Median-Income Family, Very Low-Income Individual, Working Individual, Single Professional, Retired Couple, Single-Parent Family, Moderate-Income Family, and Dual-Professional Family.An accompanying story map provides side-by-side comparisons and additional context.--Variables used in HUD's calculations include 24 measures such as people per household, average number of rooms per housing unit, monthly housing costs (mortgage/rent as well as utility and maintenance expenses), average number of cars per household, median commute distance, vehicle miles traveled per year, percent of trips taken on transit, street connectivity and walkability (measured by block density), and many more.To learn more about the Location Affordability Index (v.3) visit: https://www.hudexchange.info/programs/location-affordability-index/. There you will find some background and an FAQ page, which includes the question:"Manhattan, San Francisco, and downtown Boston are some of the most expensive places to live in the country, yet the LAI shows them as affordable for the typical regional household. Why?" These areas have some of the lowest transportation costs in the country, which helps offset the high cost of housing. The area median income (AMI) in these regions is also high, so when costs are shown as a percent of income for the typical regional household these neighborhoods appear affordable; however, they are generally unaffordable to households earning less than the AMI.Date of Coverage: 2012-2016 Date Released: March 2019Date Downloaded from HUD Open Data: 4/18/19Further Documentation:LAI Version 3 Data and MethodologyLAI Version 3 Technical Documentation_**The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updates**

Title: Location Affordability Index - NMCDC Copy

Summary: This layer contains the Location Affordability Index from U.S. Dept. of Housing and Urban Development (HUD) - standardized household, housing, and transportation cost estimates by census tract for 8 household profiles.

Notes: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas.

Prepared by: dianaclavery_uo, copied by EMcRae_NMCDC

Source: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas. Check the source documentation or other details above for more information about data sources.

Feature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=447a461f048845979f30a2478b9e65bb

UID: 73

Data Requested: Family income spent on basic need

Method of Acquisition: Search for Location Affordability Index in the Living Atlas. Make a copy of most recent map available. To update this map, copy the most recent map available. In a new tab, open the AGOL Assistant Portal tool and use the functions in the portal to copy the new maps JSON, and paste it over the old map (this map with item id

Date Acquired: Map copied on May 10, 2022

Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 6

Tags: PENDING

Housing-Burdened Low-Income Households. Percent of households in a census tract that are both low income (making less than 80% of the HUD Area Median Family Income) and severely burdened by housing costs (paying greater than 50% of their income to housing costs). (5-year estimates, 2013-2017). The cost and availability of housing is an important determinant of well- being. Households with lower incomes may spend a larger proportion of their income on housing. The inability of households to afford necessary non-housing goods after paying for shelter is known as housing-induced poverty. California has very high housing costs relative to much of the country, making it difficult for many to afford adequate housing. Within California, the cost of living varies significantly and is largely dependent on housing cost, availability, and demand. Areas where low-income households may be stressed by high housing costs can be identified through the Housing and Urban Development (HUD) Comprehensive Housing Affordability Strategy (CHAS) data. We measure households earning less than 80% of HUD Area Median Family Income by county and paying greater than 50% of their income to housing costs. The indicator takes into account the regional cost of living for both homeowners and renters, and factors in the cost of utilities. CHAS data are calculated from US Census Bureau's American Community Survey (ACS).

Argentina Govt Expenditure: Provinces & Buenos Aires City: Social: Housing & Urban Planning data was reported at 704,571.300 ARS mn in 2023. This records an increase from the previous number of 269,988.377 ARS mn for 2022. Argentina Govt Expenditure: Provinces & Buenos Aires City: Social: Housing & Urban Planning data is updated yearly, averaging 1,302.399 ARS mn from Dec 1980 (Median) to 2023, with 44 observations. The data reached an all-time high of 704,571.300 ARS mn in 2023 and a record low of 0.000 ARS mn in 1980. Argentina Govt Expenditure: Provinces & Buenos Aires City: Social: Housing & Urban Planning data remains active status in CEIC and is reported by Ministry of Treasury. The data is categorized under Global Database’s Argentina – Table AR.F020: Government Expenditure: Gran Buenos Aires and Provincial: Current Price.

Affordable Housing Property Management Software Market size was valued at USD 0.75 Billion in 2024 and is projected to reach USD 1.66 Billion by 2031, growing at a CAGR of 12.25% from 2024 to 2031.

Affordable Housing Property Management Software Market Drivers

Rising Demand for Affordable Housing: The increasing cost of living is pushing more people towards affordable housing options. Property management companies that cater to this sector need efficient software solutions to manage their growing portfolios effectively.
Need for Cost-Effective Solutions: Affordable housing properties often operate on tight margins. Property management software helps automate tasks, improve operational efficiency, and potentially reduce costs associated with manual processes and paperwork.
Improved Rental Management: These software solutions offer features specifically designed for managing affordable housing units, including tenant screening for eligibility requirements, handling rent subsidies, and ensuring compliance with regulations.
Growing Adoption of Cloud-Based Solutions: Cloud-based property management software is affordable, scalable, and accessible from anywhere with an internet connection. This is particularly beneficial for affordable housing property managers who might have limited IT resources.
Integration with Other Systems: Modern software can integrate with other relevant systems, such as payment gateways, maintenance request portals, and accounting software, streamlining workflows and improving overall property management efficiency.

Hong Kong PE: Recurrent: Housing data was reported at 15,495.000 HKD mn in 2019. This records an increase from the previous number of 14,434.000 HKD mn for 2018. Hong Kong PE: Recurrent: Housing data is updated yearly, averaging 10,672.000 HKD mn from Mar 1993 (Median) to 2019, with 27 observations. The data reached an all-time high of 15,495.000 HKD mn in 2019 and a record low of 5,111.000 HKD mn in 1993. Hong Kong PE: Recurrent: Housing data remains active status in CEIC and is reported by The Budget. The data is categorized under Global Database’s Hong Kong – Table HK.F016: Government Public Expenditure: By Policy Area Group.

Aspects related to housing conditions in households.

China Govt Expenditure: Housing Security data was reported at 655,249.000 RMB mn in 2017. This records a decrease from the previous number of 677,621.000 RMB mn for 2016. China Govt Expenditure: Housing Security data is updated yearly, averaging 448,055.000 RMB mn from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 677,621.000 RMB mn in 2016 and a record low of 72,597.000 RMB mn in 2009. China Govt Expenditure: Housing Security data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FA: Government Revenue and Expenditure.

This statistic shows the total general government expenditure on housing and community amenities in Finland from 2007 to 2017. In 2017, the total expenditure on housing and community amenities was 732 million euros. The corresponding figure for 2007 was 606 million euros.

According to Cognitive Market Research, the global Container Homes market size will be USD 62514.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 7.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 25005.80 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 18754.35 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 14378.34 million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 3125.73 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 1250.29 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.7% from 2024 to 2031.
The Sustainable, eco-friendly designs and modular units category is the fastest growing segment of the Container Homes industry

Market Dynamics of Container Homes Market

Key Drivers for Container Homes Market

Container homes offer cost-effective alternatives to traditional housing options to Boost Market Growth

The market for container homes has seen significant growth, driven by various key factors and influenced by some restraints. Container homes offer an affordable housing solution compared to traditional homes, which is one of the most significant drivers. Cost savings are due to using recycled shipping containers, which reduces material costs. This makes it an attractive option for individuals seeking affordable housing or countries with limited access to traditional construction materials. Despite the benefits, container homes often face regulatory hurdles due to building codes and zoning laws. Many regions still have restrictive rules that make it difficult to build container homes without significant modifications or approvals. These legal barriers can slow the growth of the market. The container home market is experiencing growth due to its cost-effectiveness, sustainability, and quick construction times, making it an attractive alternative to traditional housing. However, it faces regulatory hurdles, financing difficulties, and climate control concerns, which could slow down its wider adoption.

Recycled materials and minimal environmental impact attract eco-conscious consumers

The growing demand for recycled materials is driven by increasing consumer awareness of environmental sustainability. Eco-conscious consumers prefer products that reduce waste and promote a circular economy. The minimal environmental impact of recycled materials aligns with efforts to reduce carbon footprints and conserve natural resources. As industries adopt greener practices, eco-friendly alternatives, such as recycled plastics, metals, and paper, attract environmentally-conscious buyers, influencing product choices and enhancing market growth for sustainable goods.

Restraint Factor for the Container Homes Market

Container homes require significant upfront investment for construction

The substantial initial outlay needed for the building is a major barrier to the market for container homes. This covers the price of buying and modifying containers, obtaining licenses, and ensuring that construction codes are followed. The cost may also be increased by expenditures for plumbing, electrical, finishing, and insulation. Although container homes can save money over time, the high initial cost may put off prospective investors or buyers, preventing the industry from expanding widely.

Impact of Covid-19 on the Container Homes Market

The COVID-19 pandemic significantly impacted the container homes market by increasing demand for affordable, flexible, and autonomous housing solutions. Lockdowns and remote work trends prompted a shift towards alternative living options. Container homes, offering mobility, low construction costs, and environmental sustainability, became appealing. However, supply chain disruptions and labor shortages initially hindered production. As the economy recovers, container homes continue to gain traction as a solution for hous...

In 2023/24 the government of the United Kingdom is expected to spend approximately 15.6 billion British pounds on housing benefits, compared with 16.7 billion in the previous year.

The house price to income index in Europe declined in almost all European countries in 2023, indicating that income grew faster than house prices. Portugal, Luxembourg, and the Netherlands led the house price to income index ranking in 2023, with values exceeding 125 index points. Romania, Bulgaria, and Finland were on the other side of the spectrum, with less than 100 index points. The house price to income ratio is an indicator for the development of housing affordability across OECD countries and is calculated as the nominal house prices divided by nominal disposable income per head, with 2015 chosen as a base year. A ratio higher than 100 means that the nominal house price growth since 2015 has outpaced the nominal disposable income growth, and housing is therefore comparatively less affordable. In 2023, the OECD average stood at 117.4 index points.

Abstract copyright UK Data Service and data collection copyright owner.

The Organisation for Economic Co-operation and Development (OECD) Social and Welfare Statistics (previously Social Expenditure Database) available via the UK Data Service includes the following databases:

The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. The main social policy areas are as follows: old age, survivors, incapacity-related benefits, health, family, active labour market programmes, unemployment, housing, and other social policy areas.

The Income Distribution database contains comparable data on the distribution of household income, providing both a point of reference for judging the performance of any country and an opportunity to assess the role of common drivers as well as drivers that are country-specific. They also allow governments to draw on the experience of different countries in order to learn "what works best" in narrowing income disparities and poverty. But achieving comparability in this field is also difficult, as national practices differ widely in terms of concepts, measures, and statistical sources.

The Child Wellbeing dataset compare 21 policy-focussed measures of child well-being in six areas, chosen to cover the major aspects of children’s lives: material well being; housing and environment; education; health and safety; risk behaviours; and quality of school life.

The Better Life Index: There is more to life than the cold numbers of GDP and economic statistics. This Index allows you to compare well-being across countries, based on 11 topics the OECD has identified as essential, in the areas of material living conditions and quality of life.

The Social Expenditure data were first provided by the UK Data Service in March 2004.

Main Topics:

Topics covered by the database include:

• old-age cash benefits
• disability cash benefits
• occupational injury and disease
• sickness benefits
• services for the elderly and disabled people
• survivors
• family cash benefits
• family services
• active labour market programmes
• unemployment
• health
• housing benefits
• other contingencies

In the presented European countries, the homeownership rate extended from 42 percent in Switzerland to as much as 96 percent in Albania. Countries with more mature rental markets, such as France, Germany, the UK and Switzerland, tended to have a lower homeownership rate compared to the frontier countries, such as Lithuania or Slovakia. The share of house owners among the population of all 27 European countries has remained relatively stable over the past few years. Average cost of housing Countries with lower homeownership rates tend to have higher house prices. In 2023, the average transaction price for a house was notably higher in Western and Northern Europe than in Eastern and Southern Europe. In Austria - one of the most expensive European countries to buy a new dwelling in - the average price was three times higher than in Greece. Looking at house price growth, however, the most expensive markets recorded slower house price growth compared to the mid-priced markets. Housing supply With population numbers rising across Europe, the need for affordable housing continues. In 2023, European countries completed between one and six housing units per 1,000 citizens, with Ireland, Poland, and Denmark responsible heading the ranking. One of the major challenges for supplying the market with more affordable homes is the rising construction costs. In 2021 and 2022, housing construction costs escalated dramatically due to soaring inflation, which has had a significant effect on new supply.