The California Association of Realtors tracks the "HAI" which is the Home Affordability Index. Their methodology can be found here, but in a nut shell they take into consideration the median home price for a particular area, the median income, the current interest rates and mash it into an index which essentially says what percentage of the population can qualify for the median price home assuming they put 20% down and have 30% (which is conservative) income to debt ratios. The higher the index the more home people can afford to buy a home. Since there are three variables which could affect this outcome, a dramatic shift in any one could influence the affordability trend. In the case of today's market two of the three variables are in favor of home affordability-low interest rates and lower median home prices. The third-income-has impacted these number to some degree and kept the index from being even higher as wages have remained stagnate and unemployment is high.

What this means to you is if you are considering whether to buy a home in the Bay Area, unless you are concerned over your job security this is one of the best times to purchase a home in the Bay Area in decades. 

HAI

 

THE ASSUMPTIONS AND METHODOLOGY USED TO CALCULATE C.A.R.'S TRADITIONAL HOUSING AFFORDABILITY INDEX (HAI)THE ASSUMPTIONS AND METHODOLOGY USED TO CALCULATE C.A.R.'S TRADITIONAL HOUSING AFFORDABILITY INDEX (HAI)

Step 1. MEDIAN PRICE: C.A.R.'s housing affordability index is based on the median price of existing single-family homes sold from C.A.R.'s monthly existing home sales survey. Starting in 1987, this survey is based on reports of closed escrow sales from 80 Boards or more of REALTORS® and multiple listing services around the state. Prior to 1987, the survey was based on reports from 45 Boards.

Step 2. DOWNPAYMENT: It is assumed that a household can make a 20 percent downpayment on the median-priced home. Therefore, the loan amount needed to purchase a home would be 80 percent of the median home sales price.

Step 3. INTEREST RATE: Using the national average effective mortgage interest rate on all fixed and adjustable rate mortgages. This is represented by the effective composite rate for previously occupied homes, which is reported monthly by the Federal Housing Finance Board.

Step 4.The monthly payment for PRINCIPAL, INTEREST, TAXES AND INSURANCE (PITI) is computed as the sum of three parts: -Monthly mortgage payment, based on the terms of the mortgage in Steps 2 & 3. -Monthly PROPERTY TAXES are assumed to be 1 percent of the median home sales price divided by 12. -Monthly INSURANCE PAYMENTS on the house are assumed to be 0.38 percent of the median home sales price divided by 12. The results of these three calculations are added together to find the PITI or total monthly payment for a household that buys the median priced home.

Step 5. It is then assumed that the monthly PITI can be no more than 30 percent of a household's income. Thus, the monthly housing payment is divided by .3 to come up with the MINIMUM INCOME NEEDED TO QUALIFY FOR A LOAN on the median-priced home.

Step 6. Starting in 1988, data for the distribution of households by various income ranges was obtained from Claritas. INCOME DISTRIBUTION figures were developed based on the projected percent change in the annual median household income. Prior to 1988, household income utilized in the housing affordability index was based on projections by C.A.R. using the 1980 census data as a base. (I wonder who "projects" incomes-my emphasis and what criteria is used for that)

Step 7. The minimum income amount calculated in Step 5 is multiplied by 12 to determine the minimum annual income needed to qualify. This amount is compared to the income distribution of households. The percent of the households with incomes greater than or equal to the minimum income becomes the HOUSING AFFORDABILITY INDEX (HAI). NOTE: The quarterly HAI series begins in 2006, prior to that the series was monthly. The quarterly HAI for a given geographic area in a particular quarter is based upon the quarterly median price for that area as well as the quarterly income distribution for that area.

Care to rate this post?