The percentage of households that pay more than 30% of their total household income on rent and related expenses out of all households in an area. Source: American Community Survey Years Available: 2006-2010, 2007-2011, 2008-2012, 2009-2013, 2010-2014, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022

This dataset presents the Rental Affordability Index (RAI) for all dwellings. The data uses a single median income value for all of Australia (enabling comparisons across regions), and spans the quarters Q1 2011 to Q2 2021. The RAI covers all states with available data, the Northern Territory does not form part of this dataset.

National Shelter, Bendigo Bank, The Brotherhood of St Laurence, and SGS Economics and Planning have released the RentalAffordability Index (RAI) on a biannual basis since 2015. Since 2019, the RAI has been released annually.

It is generally accepted that if housing costs exceed 30% of a low-income household's gross income, the household is experiencing housing stress (30/40 rule). That is, housing is unaffordable and housing costs consume a disproportionately high amount of household income. The RAI uses the 30 per cent of income rule. Rental affordability is calculated using the following equation, where 'qualifying income' refers to the household income required to pay rent where rent is equal to 30% of income:

RAI = (Median income ∕ Qualifying Income) x 100

In the RAI, households who are paying 30% of income on rent have a score of 100, indicating that these households are at the critical threshold for housing stress. A score of 100 or less indicates that households would pay more than 30% of income to access a rental dwelling, meaning they are at risk of experiencing housing stress.

For more information on the Rental Affordability Index please refer to SGS Economics and Planning.

The RAI is a price index for housing rental markets. It is a clear and concise indicator of rental affordability relative to household incomes, applied to geographic areas across Australia.

AURIN has spatially enabled the original data using geometries provided by SGS Economics and Planning. Values of 'NA' in the original data have been set to NULL.

This dataset presents the Rental Affordability Index (RAI) for all dwellings. The data uses different income values for each region within the Greater Capital Cities, and spans the quarters Q1 2011 to Q2 2021. The RAI covers all states with available data, the Northern Territory does not form part of this dataset.

National Shelter, Bendigo Bank, The Brotherhood of St Laurence, and SGS Economics and Planning have released the RentalAffordability Index (RAI) on a biannual basis since 2015. Since 2019, the RAI has been released annually.

It is generally accepted that if housing costs exceed 30% of a low-income household's gross income, the household is experiencing housing stress (30/40 rule). That is, housing is unaffordable and housing costs consume a disproportionately high amount of household income. The RAI uses the 30 per cent of income rule. Rental affordability is calculated using the following equation, where 'qualifying income' refers to the household income required to pay rent where rent is equal to 30% of income:

RAI = (Median Income ∕ Qualifying Income) x 100

In the RAI, households who are paying 30% of income on rent have a score of 100, indicating that these households are at the critical threshold for housing stress. A score of 100 or less indicates that households would pay more than 30% of income to access a rental dwelling, meaning they are at risk of experiencing housing stress.

For more information on the Rental Affordability Index please refer to SGS Economics and Planning.

The RAI is a price index for housing rental markets. It is a clear and concise indicator of rental affordability relative to household incomes, applied to geographic areas across Australia.

AURIN has spatially enabled the original data using geometries provided by SGS Economics and Planning. Values of 'NA' in the original data have been set to NULL.

This dataset presents the Rental Affordability Index (RAI) for 3 bedroom dwellings. The data uses different income values for each region within the Greater Capital Cities, and spans the quarters Q1 2011 to Q2 2021. The RAI covers all states with available data, the Northern Territory and Western Australia does not form part of this dataset.

National Shelter, Bendigo Bank, The Brotherhood of St Laurence, and SGS Economics and Planning have released the RentalAffordability Index (RAI) on a biannual basis since 2015. Since 2019, the RAI has been released annually.

It is generally accepted that if housing costs exceed 30% of a low-income household's gross income, the household is experiencing housing stress (30/40 rule). That is, housing is unaffordable and housing costs consume a disproportionately high amount of household income. The RAI uses the 30 per cent of income rule. Rental affordability is calculated using the following equation, where 'qualifying income' refers to the household income required to pay rent where rent is equal to 30% of income:

RAI = (Median income ∕ Qualifying Income) x 100

In the RAI, households who are paying 30% of income on rent have a score of 100, indicating that these households are at the critical threshold for housing stress. A score of 100 or less indicates that households would pay more than 30% of income to access a rental dwelling, meaning they are at risk of experiencing housing stress.

For more information on the Rental Affordability Index please refer to SGS Economics and Planning.

The RAI is a price index for housing rental markets. It is a clear and concise indicator of rental affordability relative to household incomes, applied to geographic areas across Australia.

AURIN has spatially enabled the original data using geometries provided by SGS Economics and Planning. Values of 'NA' in the original data have been set to NULL.

Graph and download economic data for Housing Affordability Index (Fixed) (FIXHAI) from Jan 2024 to Jan 2025 about fixed, housing, indexes, and USA.

The housing affordability index among households in Italy reached 14.5 percent as of 2018. In 2018, the housing affordability index was highest in the region of Molise, where it reached 20.5 percent. By contrast, only roughly 7.5 percent of the households in Lazio and Liguria were able to purchase a home in their respective regions. By contrast, the index was lowest in the region of Liguria, where it was equal to eight percent.

The affordability index is calculated based on interest rate, housing prices and disposable income. A positive affordability index means that the average Italian family in that particular region was able to purchase a house at the market average price.

This dataset presents the Rental Affordability Index (RAI) for 3 bedroom dwellings. The data uses a single median income value for all of Australia (enabling comparisons across regions), and spans the quarters Q1 2011 to Q2 2021. The RAI covers all states with available data, the Northern Territory does not form part of this dataset.

National Shelter, Bendigo Bank, The Brotherhood of St Laurence, and SGS Economics and Planning have released the RentalAffordability Index (RAI) on a biannual basis since 2015. Since 2019, the RAI has been released annually.

It is generally accepted that if housing costs exceed 30% of a low-income household's gross income, the household is experiencing housing stress (30/40 rule). That is, housing is unaffordable and housing costs consume a disproportionately high amount of household income. The RAI uses the 30 per cent of income rule. Rental affordability is calculated using the following equation, where 'qualifying income' refers to the household income required to pay rent where rent is equal to 30% of income:

RAI = (Median income ∕ Qualifying Income) x 100

In the RAI, households who are paying 30% of income on rent have a score of 100, indicating that these households are at the critical threshold for housing stress. A score of 100 or less indicates that households would pay more than 30% of income to access a rental dwelling, meaning they are at risk of experiencing housing stress.

For more information on the Rental Affordability Index please refer to SGS Economics and Planning.

The RAI is a price index for housing rental markets. It is a clear and concise indicator of rental affordability relative to household incomes, applied to geographic areas across Australia.

AURIN has spatially enabled the original data using geometries provided by SGS Economics and Planning. Values of 'NA' in the original data have been set to NULL.

Dataset contains the count of dwellings based on rental repayments by dwelling structure and the ABS calculation of rental expenditure to total household income as recorded for 2021 Census. Australian Bureau of Statistics extracts from ABS Tablebuilder are used for the construction of the dataset.

The housing affordability measure illustrates the relationship between income and housing costs. A household that spends 30% or more of its collective monthly income to cover housing costs is considered to be “housing cost-burden[ed].”[1] Those spending between 30% and 49.9% of their monthly income are categorized as “moderately housing cost-burden[ed],” while those spending more than 50% are categorized as “severely housing cost-burden[ed].”[2]

How much a household spends on housing costs affects the household’s overall financial situation. More money spent on housing leaves less in the household budget for other needs, such as food, clothing, transportation, and medical care, as well as for incidental purchases and saving for the future.

The estimated housing costs as a percentage of household income are categorized by tenure: all households, those that own their housing unit, and those that rent their housing unit.

Throughout the period of analysis, the percentage of housing cost-burdened renter households in Champaign County was higher than the percentage of housing cost-burdened homeowner households in Champaign County. All three categories saw year-to-year fluctuations between 2005 and 2023, and none of the three show a consistent trend. However, all three categories were estimated to have a lower percentage of housing cost-burdened households in 2023 than in 2005.

Data on estimated housing costs as a percentage of monthly income was sourced from the U.S. Census Bureau’s American Community Survey (ACS) 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Housing Tenure.

[1] Schwarz, M. and E. Watson. (2008). Who can afford to live in a home?: A look at data from the 2006 American Community Survey. U.S. Census Bureau.

[2] Ibid.

Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (17 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (22 September 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (30 September 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (10 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (10 June 2021).;U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (14 September 2017).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; 16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).

As of the third quarter of 2024, the housing affordability index in South Korea stood at around 61 points. The third quarter of 2022 saw the first drop in figures since 2020. The lower the index value, the more affordable a home is for a median-income household. Apartments in South Korea Average apartment prices in South Korea had risen for almost a decade before 2022. The country's popularity worldwide helped it become an economic powerhouse, attracting young workers from the countryside to large cities in hopes of taking part in or benefiting from this growth. As such, apartments are an attractive option for cities, optimizing space as they become more crowded. In terms of financing a new home, the leasehold deposit system exists as an alternative to traditional monthly rentals in Korea. Jeonse and leasehold deposits Jeonse is a leasehold deposit system in Korea where, instead of paying rent monthly, people pay a large deposit equivalent to a share of a property's value. In exchange, the person receives the right to reside in the property as a tenant for a limited amount of time. Granted, the up-front cost is high, and it is common to receive loans from banks to pay for the leasehold deposit. It had traditionally been a popular method as you could live in a housing unit without worrying about rent for one or two years. However, this system is slowly being phased out as interest rates, the large up-front cost, and cases of jeonse fraud have turned people away.

The Location Affordability Index (LAI) estimates the percentage of a family’s income dedicated to the combined cost of housing and transportation in a given location. Because what is “affordable” is different for everyone, users can choose among a diverse set of family profiles—which vary by household income, size, and number of commuters—and see the affordability landscape for each in a given neighborhood, city, or region. The Location Affordability Index (LAI) estimates three dependent variables of transportation behavior (auto ownership, auto use, and transit use) as functions of 14 independent variables (median income, per capita income, average household size, average commuters per household, residential density, gross density, block density, intersection density, transit connectivity, transit frequency of service, transit access shed, employment access, job diversity, and average commute distance). To hone in on the built environment’s influence on transportation costs, the independent household variables (income, household size, and commuters per household) are set at fixed values to control for any variation they might cause. The LAI also estimates two dependent variables of housing costs (Selected Monthly Owner Costs and Gross Rent) as functions of 16 independent variables: regional median selected monthly owner costs and regional median gross rent in addition to the 14 variables used in the transportation model.

To learn more about the Location Affordability Index (v.1.0) visit: https://www.locationaffordability.info/LAPMethods.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Location Affordability Indev v.1.0. Date of Coverage: 2005-2009 https://www.locationaffordability.info/LAPMethodsV2.pdf

Turkey, Russia, Portugal, and Latvia were the countries with the highest house price-to-rent-ratio in the ranking in the second quarter of 2024. In all three countries, the ratio exceeded 160 index points, meaning that house price growth had outpaced rents by over 60 percent between 2015 and 2024. What does the house-price-to-rent ratio show? The house-price-to-rent-ratio measures the evolution of house prices compared to rents. It is generally calculated by dividing the median house price by the median annual rent. In this statistic, the values have been normalized with 100 equaling the 2015 ratio. Consequentially, a value under 100 means that rental rates have risen more than house prices. When all OECD countries are considered as a whole, the gap between house prices and rents was wider than in the Euro area. Measures of housing affordability The national house-price-to-rent ratio may not fully reflect the cost of housing in a particular country, as it does not capture the price variations that can exist between different regions. It also does not take into consideration the relationship between incomes and housing costs, which is measured by the house-price-to-income and household-rent-to-income ratios. Taking both these factors into account uncovers vast differences in housing affordability between different regions and different professions.

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.

Number of affordable housing completions (seasonally adjusted)

How the figure is calculated:

Total reported numbers of completions under the relevant programmes within the reporting period. Because delivery is seasonal and reflects funding profiles, with more starts and completions being reported in the second six months than are reported in the first six months, the current figures are compared back to the equivalent period of the year before rather than the preceding six months.

Why is this indicator in the business plan?

These are the most timely indicators on affordable housing delivery. Increasing the supply of affordable housing is a key part of DCLG policy.

How often is it updated?

Bi-annually, approximately June and November.

Where does the data come from?

Homes and Communities Agency (HCA) - Investment Management System and other programme information. Published figures are at http://www.homesandcommunities.co.uk/housing-statistics.

Greater London Authority (GLA) - Investment Management System and other programme information. Published figures are at http://www.london.gov.uk/priorities/housing-land/increasing-housing-supply/gla-affordable-housing-statistics.

What area does the headline figure cover?

England

Are further breakdowns of the data available?

Yes, can be split by type (social rent, affordable rent, intermediate rent, Low Cost Home Ownership) and by local authority area.

What does a change in this indicator show?

An increase in this indicator is good and shows more new affordable houses are being completed through the HCA and GLA.

Time Lag

Published within two months of the end of the reporting period.

Next available update

June 2015.

Type of Data

Official Statistics.

Robustness and data limitations

• Does not include all affordable housing starts and completions because some will be delivered outside the HCA and GLA roles.
• Delivery is seasonal and reflects funding profiles. Delivery tends to be lower in the first six months than the last six months of the year and therefore comparisons with the previous six-monthly period are not usually appropriate.
• A small number of the affordable housing starts reported by the HCA over this period are actually located in London (the Get Britain Building programme in London is administered by the HCA on behalf of the GLA).

Links to Further Information

http://www.homesandcommunities.co.uk/housing-statistics

http://www.london.gov.uk/priorities/housing-land/increasing-housing-supply/gla-affordable-housing-statistics

Contact Details

CorporatePerformance@communities.gsi.gov.uk

Since 2015, the gap between the cost of buying a home and renting has grown, with homeownership becoming increasingly less affordable. In the third quarter of 2024, the house price to rent ratio in the UK stood at 114.6. That meant that house price growth has outpaced rental growth by nearly 15 percent between 2015 and 2024. The UK's house price to rent ratio was slightly below the average Euro area ratio. House price to income ratio in the UK Another indicator for housing affordability is the house price to income ratio, which is calculated by dividing nominal house prices by the nominal disposable income per head. The ratio saw an overall increase between 2015, which was tthe base year, and 2022. After that, the index declined, but remained close to the average for the Euro area. Is it more affordable to rent or buy? There are many things to be considered when comparing buying to renting, such as the ability to qualify for a mortgage and whether prospective homebuyers have sufficient savings for a deposit. Generally, purchasing a home is more affordable than renting one. However, the average monthly savings first-time buyers can achieve have been on the decline. In East of England, where house prices have increased rapidly over the past few years, it was cheaper to rent than to buy in 2022.

Number of affordable housing starts (seasonally adjusted)

How the figure is calculated:

Total reported numbers of starts under the relevant programmes within the reporting period. Because delivery is seasonal and reflects funding profiles, with more starts and completions being reported in the second six months than are reported in the first six months, the current figures are compared back to the equivalent period of the year before rather than the preceding six months.

Why is this indicator in the business plan?

These are the most timely indicators on affordable housing delivery. Increasing the supply of affordable housing is a key part of DCLG policy.

How often is it updated?

Bi-annually, approximately June and November.

Where does the data come from?

Homes and Communities Agency (HCA) - Investment Management System and other programme information. Published figures are at http://www.homesandcommunities.co.uk/housing-statistics.

Greater London Authority (GLA) - Investment Management System and other programme information. Published figures are at http://www.london.gov.uk/priorities/housing-land/increasing-housing-supply/gla-affordable-housing-statistics.

What area does the headline figure cover?

England

Are further breakdowns of the data available?

Yes, can be split by type (social rent, affordable rent, intermediate rent, Low Cost Home Ownership) and by local authority area.

What does a change in this indicator show?

An increase in this indicator is good and shows more new affordable houses are being started through the HCA and GLA.

Time Lag

Published within two months of the end of the reporting period.

Next available update

June 2015.

Type of Data

Official Statistics.

Robustness and data limitations

• Does not include all affordable housing starts and completions because some will be delivered outside the HCA and GLA roles.
• Delivery is seasonal and reflects funding profiles. Delivery tends to be lower in the first six months than the last six months of the year and therefore comparisons with the previous six-monthly period are not usually appropriate.
• A small number of the affordable housing starts reported by the HCA over this period are actually located in London (the Get Britain Building programme in London is administered by the HCA on behalf of the GLA).

With effect from 1 April 2014, affordable housing starts on site include the starts on site for new build homes purchased at completion. These have not been reported historically

Links to Further Information

http://www.homesandcommunities.co.uk/housing-statistics

http://www.london.gov.uk/priorities/housing-land/increasing-housing-supply/gla-affordable-housing-statistics

Contact Details

CorporatePerformance@communities.gsi.gov.uk

Rents in Germany continued to increase in all seven major cities in 2024. The average rent per square meter in Munich was approximately 19.8 euros — the highest in the country. Conversely, Düsseldorf had the most affordable rent, at approximately 13.1 euros per square meter. But how does renting compare to buying? According to the house price to rent ratio, house prices in Germany have risen faster than rents, making renting more affordable than buying. Affordability of housing in Germany In 2023, Germany was among the European countries with a relatively high house price to income ratio in Europe. The indicator compares the affordability of housing 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. Between 2012 and 2022, property prices in the country rose much faster than income, with the house price to income index peaking at 138 index points at the beginning of 2022. Slower house price growth in the following years has led to the index declining, as incomes catch up. Nevertheless, homebuyers in 2024 faced significantly higher mortgage interest rates, contributing to a higher final cost. How much does buying a property in Germany cost? Just as with renting, Munich was the most expensive city for newly built apartments. In 2024, the cost per square meter in Munich was almost 2,800 euros pricier than in the runner-up city, Frankfurt. Detached and semi-detached houses are usually more expensive. The price gap between Munich and the second most expensive city, Stuttgart, was nearly 4,000 euros per square meter.

The rent price index in Australia in the fourth quarter of 2024 was 120.7, marking an increase from the same quarter of the previous year. Rent prices had decreased in 2020; in Melbourne and Sydney, this was mainly attributed to the absence of international students during the coronavirus outbreak. The current state of the rental market in Australia The rental market in Australia has been marked by varying conditions across different regions. Among the capital cities, Sydney and Melbourne have long been recognized for having some of the highest average rents. As of September 2024, the average weekly rent for a house in Sydney was 775 Australian dollars, which was the highest average rent across all major cities in Australia that year. Furthermore, due to factors like population growth and housing demand, regional areas have also seen noticeable increases in rental prices. For instance, households in the non-metropolitan area of New South Wales’s expenditure on rent was around 30 percent of their household income in the year ending June 2024. Housing affordability in Australia Housing affordability remains a significant challenge in Australia, contributing to a trend where many individuals and families rent for prolonged periods. The underlying cause of this issue is the ongoing disparity between household wages and housing costs, especially in large cities. While renting offers several advantages, it is worth noting that the associated costs may not always align with the expectation of affordability. Approximately one-third of participants in a survey conducted in 2023 stated that they pay between 16 and 30 percent of their monthly income on rent. Recent government initiatives such as the 2024 Help to Buy scheme aim to make it easier for people across Australia to get onto the property ladder. Still, the multifaceted nature of Australia’s housing affordability problem requires continued efforts to strike a balance between market dynamics and the need for accessible housing options for Australians.

Affordable rent dwellings are the principal product of the Homes and Communities Agency's 2011-15 Affordable Homes Programme. The indicator shows the average agreed grant for each affordable rent dwelling funded by the HCA as stated within the original agreed offer.

How the figure is calculated:

The figure is calculated as the total grant agreed by the HCA for affordable rent dwellings divided by the number of HCA Affordable Rent dwellings. The start date is as of 1 October 2011 under the agreed offers.

Why is this indicator in the business plan?

The payment per dwelling represents the capital cost to Government of the supply of new affordable rent homes and will indicate the level of consistency with the rate of funding agreed with providers at the onset of the 2011-15 Programme.

How often is it updated

Data is updated quarterly.

Where does the data come from?

The Homes and Communities Agency collect this information through its Investment Management System.

What area does the headline figure cover?

England except for the area covered by the Greater London Authority (GLA).

Are further breakdowns of the data available?

The HCA publish figures by HCA operating area.

What does a change in this indicator show?

The payment per dwelling should be consistent with the rate of funding agreed with providers at the onset of the 2011-15 Programme.

Time Lag

Approximately 8 weeks after end of 3-month period, broadly in line with HCA National Housing Statistics publication.

Next available update

April 2015.

Type of Data

Management Information

Robustness and data limitations

The indicator applies to Affordable Rent dwellings under the 2011-2015 Affordable Homes Programme. It excludes committed units from the previous programme. Based on provider offers and following negotiation and agreement of a framework contract, a rate for new HCA funding per Affordable Rent unit is agreed for each provider, in the majority of cases is paid 50% at start on site and 50% on completion (on a results basis). A provider's agreed rate of funding for each home completed will apply for the duration of the contract where delivery is largely in line with the assumptions in the initial framework contract. The HCA Investment Management System contains information provided by investment partners and so viewed as the most reliable source of data. From April 2012, the Mayor of London has had oversight of strategic housing, regeneration and economic development in London. This indicator refers only to grant payments by the HCA. The figure will include a small element of grant payments for social rent dwellings and a small proportion of acquisitions.

Links to Further Information

http://www.homesandcommunities.co.uk/affordable-homes

Contact Details

CorporatePerformance@communities.gsi.gov.uk

Monthly data showing the proportion of gross income spent on rent for new tenancies across the UK, from Dataloft Rental Market Analytics (DRMA). These are official statistics in development. Source: Dataloft. Dataloft is a PriceHubble company.