Housing indicators

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Housing indicators are policy indicators designed to measure progress toward achieving housing policy goals. A housing indicator is a single, usually dimensionless number that points the way to improving housing outcomes. Because housing policy is heavily intertwined with other sectors such as social, economic, demographic and labour policy, and with the construction and finance industries, it requires a fairly comprehensive system of indicators to cover most of the key policies and issues. Housing indicator sets may contain political bias supporting the agendas or interests of those drawing up the system..

Contents

The most sustained effort in housing indicators has been the World Bank/UN-Habitat Housing Indicators Programme, which was operational from 1992 to 2001. A set of 35 housing indicators was subject to a pilot test in 52 countries in 1992-3. A reduced set of 10 indicators was collected in 254 cities as part of the Urban and Housing Indicators Programme in preparation for the Habitat II Conference in 1996, and again in 1999.

These housing indicators were intended to lift the profile of housing in national policy, and to act as a diagnostic system to detect poorly functioning housing markets and poorly directed housing policy. The most important indicator, the median house price-to-income ratio, is still frequently used as an affordability gauge.

A reconfigured indicators set was developed for Habitat for Humanity in 2008.

Background

From the late 1970s there was a massive surge in urbanisation in the developing world, resulting in burgeoning slum or shanty populations surrounding most cities. Stephen Mayo (1939-1999), [1] Principal Economist in the Word Bank, found that very similar countries had very different housing outcomes. Some had much tighter, more expensive and more crowded housing markets than others. He attributed this to restrictive land and building controls that made urban land scarce and expensive and encouraged invasion from squatter groups onto government and private land.

Following the International Year of Shelter for the Homeless, in 1988 the Global Shelter Strategy to the Year 2000 [2] was adopted. This strategy was influenced by economic liberalism, and called for a fundamental shift in government policy away from the direct provision of housing towards an "enabling" legislative and regulatory environment that "facilitates, energises, and supports the activities of the private sector". [3] The United Nations Centre for Human Settlements (now UN-Habitat) was requested to provide national monitoring of progress towards realising the goals of the Strategy.

The Housing Indicators Programme (HIP) was initiated jointly by the World Bank and UNCHS in October 1990, and was funded and supported by USAID. The methodology and the indicators were largely the brainchild of Mayo and Shlomo Angel, [4] an Israeli expert on slums and urban development.

One of the main purposes of the housing indicators was to establish a system of diagnostics for a “well functioning housing market”. For example, various indicators might show a market in which land was being inadequately supplied, resulting in housing shortages and high prices. Deviations from standard benchmarks might show the presence of market distorting policies like rent control. [5]

The indicators had a strong macroeconomic emphasis and some of the indicators were novel and original. The pilot program resulted in a detailed comparison of the housing sectors in major cities in 52 countries, through the collection of about 40 key indicators on a comparable basis. The final results of this pilot programme were not published until after the death of Mayo. [6]

Subsequently, ten of these housing indicators were collected globally as part of a more comprehensive urban indicators system in the run up to the Habitat II Conference in Istanbul in 1996. [7]

Separate housing indicators programmes were conducted in the early 1990s in a number of countries in the Caribbean, Anglophone Africa and Eastern Europe, generally funded by USAID, as part of an attempt to vitalize or revive the housing sectors of those countries. [8] [9]


The ten housing indicators that were collected for Habitat 2 in 1996 and Istanbul+5 in 2001, for approximately 235 cities around the world on each occasion, were:

Mean value of the ten key housing indicators, by development quintile, Habitat II collection 1996.

IndicatorVery lowLowMediumHigherDeveloped
H1. Price to income6.68.18.88.34.7
H2. Rent to income (%)29.128.215.411.718.0
H3. Floor area per person (sq m)7.38.013.217.331.4
H4. Permanent dwellings (%)46.977.978.891.795.6
H5. Dwellings in compliance (%)42.552.572.985.596.2
H6. Land development multiplier5.14.93.94.65.3
H7. Infrastructure expenditure per capita ($)161548136421
H8. Mortgage to credit ratio (%)5.97.112.020.327.1
H9. Dwelling production per 1000 population4.76.08.55.64.8
H10. Housing investment ratio (%)7.712.26.25.13.2

Source Flood (1997), tables 12 and 13 [7] The development level of cities was defined using the City Development Index.

The table shows the 1996 averages for these indicators over cities of different levels of development. Indicators H3, H4, H5, H7 and H8 increased with the level of development, as they represent increased consumption, improved dwelling quality, and more developed mortgage systems. House prices were highest with respect to income at middle levels of development - probably because formal sector construction standards are enforced before incomes have risen sufficiently to justify them. Rents H2 fell with development until the final quintile. The construction indicators H9 and H10 were correlated with rates of urban household formation. [7]

An extended housing indicator system was provided with the main survey. [10] Some of those indicators have been widely used in OECD countries: [11]

Aftermath

The housing indicators movement and its associated enabling strategy had a lasting impact on thinking about housing policy in the developing world, although its “soft” market-oriented philosophy was unevenly adopted. [12]

The main criticism of the housing indicators were in keeping with the origins of the system - that they referred largely to the economic part of the economic-social-environmental nexus, and had little distributional or environmental content. Ultimately the “enabling approach” appealed neither to the growing sustainability movement nor to economic fundamentalists. Specialist departments of housing mostly disappeared, and much of the effort in collecting and maintaining housing market indicators devolved to the private sector.

Within UN-Habitat, the indicators were discontinued after 2003 when effort was redirected towards the Millennium Indicators. These were all to be collected at the individual household level, with no market or economy-wide indicators. [11]

In 2008, Shlomo Angel redefined the housing indicators on behalf of Habitat for Humanity. The new collection had little overlap with the original, although some themes were the same. [13] It was intended that this collection should continue after a 15-country pilot, but again this did not eventuate.

Other housing indicators

Countries have frequently assembled housing-related statistics, but they have not been part of a policy system.

In Britain, the Netherlands, Scandinavia and other parts of Europe, the move away from public and council housing towards housing associations has strongly encouraged the development of performance indicators. There is a very substantial literature in the area. [14]

Countries have continued to investigate the relationship between tight land controls and high house prices, [15] or have produced housing data dashboards. [16] The OECD monitors housing affordability in its member countries. [17]

Related Research Articles

Inclusionary zoning (IZ), also known as inclusionary housing, refers to municipal and county planning ordinances that require a given share of new construction to be affordable by people with low to moderate incomes. The term inclusionary zoning indicates that these ordinances seek to counter exclusionary zoning practices, which aim to exclude low-cost housing from a municipality through the zoning code. There are variations among different inclusionary zoning programs. Firstly, they can be mandatory or voluntary. Though voluntary programs exist, the great majority has been built as a result of local mandatory programmes requiring developers to include the affordable units in their developments. There are also variations among the set-aside requirements, affordability levels coupled with the period of control. In order to encourage engagements in these zoning programs, developers are awarded with incentives for engaging in these programs, such as density bonus, expedited approval and fee waivers.

<span class="mw-page-title-main">Canada Mortgage and Housing Corporation</span>

Canada Mortgage and Housing Corporation (CMHC) (SCHL) is Canada's national housing agency, and state-owned mortgage insurer. It was originally established after World War II, to help returning war veterans find housing, and is a wholly-owned Crown Corporation of the Government of Canada. Since then, it has seen its mandate expand to the mandate of improving access to housing, including owned and rental.

The affordability of housing in the UK reflects the ability to rent or buy property. There are various ways to determine or estimate housing affordability. One commonly used metric is the median housing affordability ratio; this compares the median price paid for residential property to the median gross annual earnings for full-time workers. According to official government statistics, housing affordability worsened between 2020 and 2021, and since 1997 housing affordability has worsened overall, especially in London. The most affordable local authorities in 2021 were in the North West, Wales, Yorkshire and The Humber, West Midlands and North East.

Subsidized housing is government sponsored economic assistance aimed towards alleviating housing costs and expenses for impoverished people with low to moderate incomes. In the United States, subsidized housing is often called "affordable housing". Forms of subsidies include direct housing subsidies, non-profit housing, public housing, rent supplements/vouchers, and some forms of co-operative and private sector housing. According to some sources, increasing access to housing may contribute to lower poverty rates.

A housing bubble is one of several types of asset price bubbles which periodically occur in the market. The basic concept of a housing bubble is the same as for other asset bubbles, consisting of two main phases. First there is a period where house prices increase dramatically, driven more and more by speculation. In the second phase, house prices fall dramatically. Housing bubbles tend to be among the asset bubbles with the largest effect on the real economy, because they are credit-fueled, because a large number of households participate and not just investors, and because the wealth effect from housing tends to be larger than for other types of financial assets.

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<span class="mw-page-title-main">Public housing in Hong Kong</span> Housing programmes of the Hong Kong government

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<span class="mw-page-title-main">Affordable housing</span> Housing affordable to those with a median household income

Affordable housing is housing which is deemed affordable to those with a household income at or below the median as rated by the national government or a local government by a recognized housing affordability index. Most of the literature on affordable housing refers to mortgages and a number of forms that exist along a continuum – from emergency homeless shelters, to transitional housing, to non-market rental, to formal and informal rental, indigenous housing, and ending with affordable home ownership.

Workforce housing is a term that is increasingly used by planners, government, and organizations concerned with housing policy or advocacy. It is gaining cachet with realtors, developers and lenders. Workforce housing can refer to any form of housing, including ownership of single or multi-family homes, as well as occupation of rental units. Workforce housing is generally understood to mean affordable housing for households with earned income that is insufficient to secure quality housing in reasonable proximity to the workplace.

<span class="mw-page-title-main">Australian property market</span> Overview of Australian property market

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<span class="mw-page-title-main">Australian property bubble</span>

The Australian property bubble is the economic theory that the Australian property market has become or is becoming significantly overpriced and due for a significant downturn. Since the early 2010s, various commentators, including one Treasury official, have claimed the Australian property market is in a significant bubble.

<span class="mw-page-title-main">Chinese property bubble (2005–2011)</span>

The 2005 Chinese property bubble was a real estate bubble in residential and commercial real estate in China. The New York Times reported that the bubble started to deflate in 2011, while observing increased complaints that members of the middle-class were unable to afford homes in large cities. The deflation of the property bubble is seen as one of the primary causes for China's declining economic growth in 2013.

<span class="mw-page-title-main">Housing inequality</span>

Housing inequality is a disparity in the quality of housing in a society which is a form of economic inequality. The right to housing is recognized by many national constitutions, and the lack of adequate housing can have adverse consequences for an individual or a family. The term may apply regionally, temporally or culturally. Housing inequality is directly related to racial, social, income and wealth inequality. It is often the result of market forces, discrimination and segregation.

Non-profit housing developers build affordable housing for individuals under-served by the private market. The non-profit housing sector is composed of community development corporations (CDC) and national and regional non-profit housing organizations whose mission is to provide for the needy, the elderly, working households, and others that the private housing market does not adequately serve. Of the total 4.6 million units in the social housing sector, non-profit developers have produced approximately 1.547 million units, or roughly one-third of the total stock. Since non-profit developers seldom have the financial resources or access to capital that for-profit entities do, they often use multiple layers of financing, usually from a variety of sources for both development and operation of these affordable housing units.

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<span class="mw-page-title-main">Median multiple</span>

The Median multiple or Median house price to income ratio is a housing indicator used to indicate the affordability of housing in any given community. The Median house price to income ratio WAS the primary indicator H1 of the 1991 World Bank/UNCHS Housing Indicator system. It was subsequently used as a measure of affordability by the UN Commission for Sustainable Development, the National Association of Realtors, State of the Environment 2003 Tasmania; and the Mortgage Guide UK along with many other organisations.

The property bubble in New Zealand is a major national economic and social issue. Since the early 1990s, house prices in New Zealand have risen considerably faster than incomes, putting increasing pressure on public housing providers as fewer households have access to housing on the private market. The property bubble has produced significant impacts on inequality in New Zealand, which now has one of the highest homelessness rate in the OECD and a record-high waiting list for public housing. Government policies have attempted to address the crisis since 2013, but have produced limited impacts to reduce prices or increase the supply of affordable housing. However, prices started falling in 2022 in response to tightening of mortgage availability and supply increasing. Some areas saw drops as high as around 9% - albeit from very high prices.

<span class="mw-page-title-main">Affordable housing by country</span>

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<span class="mw-page-title-main">Joe Flood (policy analyst)</span> Policy and data analyst and author

Joe Flood is a policy, data analyst and mathematician. He has made contributions to mathematics, housing and urban economics, urban indicators, slum studies, climate change and genetic genealogy at every layer of Australian government.

Judith Nancy Yates was an Australian housing economist. She was a lecturer and associate professor at the University of Sydney from 1971 to 2009. As a social liberal economist, she published over 120 papers in academic journals and government and industry reports on most aspects of Australia's housing sector, most notably on distributional aspects of the tax and finance system, on affordability and the supply of low-rent housing.Throughout her career she was appointed to a number of government advisory committees, and she contributed to many government inquiries.

References

  1. Malpezzi, Stephen (2000). The contributions of Stephen K. Mayo to housing and urban economics. University of Wisconsin Madison.
  2. United Nations High Commissioner for Refugees. "Global Strategy for Shelter to the Year 2000 : resolution adopted by the General Assembly". Refworld. Retrieved 2022-05-09.
  3. Mayo, Stephen; Angel, Shlomo (1993). Housing: Enabling Markets to Work. World Bank. doi:10.1596/0-8213-2434-9. ISBN   978-0-8213-2434-9.
  4. "Shlomo Angel". Lincoln Institute of Land Policy. Retrieved 2022-05-09.
  5. UNCHS/World Bank (1992). The Housing Indicators Program Extensive Survey preliminary results. World Bank,
  6. Angel, Shlomo (2004). Housing Policy Matters: A Global Analysis. Oxford University Press. ISBN   978-0195137156.
  7. 1 2 3 Flood, Joe (1997). "Urban and housing indicators". Urban Studies. 34 (10): 1665–67. doi:10.1080/0042098975385. S2CID   153893995.
  8. Hegedus, Josef; Tosics, Ivan (1993). "Housing indicators in transitional economies: A new tool for policy making. The Hungarian housing indicators program intensive survey". Netherlands Journal of Housing and the Built Environment. 8: 85–94. doi:10.1007/BF02503151. S2CID   151262796.
  9. Padco Inc and PLAN Inc (1994). "Zimbabwe private sector housing program monitoring and evaluation system: baseline survey and findings" (PDF). USAID. Retrieved 9 May 2022.
  10. World Bank/UNCHS (1994). The Housing Indicators Program Vol IV: The Extensive Survey Instrument. Washington D.C.: World bank.
  11. 1 2 Flood, Joe (9 October 2012). "Housing indicators". International Encyclopedia of Housing and Home. Elsevier. pp. 502–508. ISBN   978-0-08-047171-6.
  12. UN-Habitat (2001). Cities in a Globalizing World: Global Report on Human Settlements. Earthscan Publications. pp. 45–46. ISBN   978-1-85383-806-4.
  13. "Global housing indicators: evidence for action" (PDF). Habitat for Humanity. 2008.
  14. Clapham, David (1992). "Performance assessment and accountability in British housing management". Policy and Politics. 20: 63–74. doi:10.1332/030557392782454123.
  15. "Land and Housing Supply Indicators". Australian Bureau of Statistics. 2022-02-16. Retrieved 2022-05-09.
  16. "Housing Data Dashboard". Australian Institute of Health and Welfare. Retrieved 2022-05-09.
  17. "Affordable Housing Database". OECD. Retrieved 2022-05-09.