Bonita, San Diego, Real Estate Market Trends and Community Information, August 2006

By shaye • December 10th, 2010


Bonita is situated in the southern region of San Diego County within the state of California. There are approximately 18,396 residents in this Zip code (91902) and 5,986 households. The median age of residents is 40.45 years.


The temperature in Bonita is relatively moderate. The warmest time of year occurs in July during which temperatures reach an average high of 70°F. The coldest time of year occurs in January with average temperatures falling to 57° F.


The housing options in Bonita include single-family homes and properties, condominiums, townhouses, and apartments. The price of housing is as

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·One bedroom townhouse/condominium start in the mid $200,000s.
·Two bedroom townhouse/condominium start in the low $300,000s.
·Three bedroom townhouse/condominium start in the low $400,000s.
·Two bedroom single-family homes start in the high $400,000s.
·Three bedroom single-family homes start in the mid $500,000s.
·Four bedroom single-family homes start in the low $600,000s.


As with most products and services in the United States, price shifts in the real estate industry are subject to the forces of supply and demand. Whether it’s a buyers market or a seller’s market, it is useful to evaluate home sales data for the most recent month available (June 2006), compared against the same period in the previous year (June 2005).

The median price of single-family homes dropped from $849,990 in June 2005 to $782,500 in June 2006, which represents a 7.9% decline. However, more homes sold in June 2006 (20 homes) than in June 2005 (7 homes). The average time to sell a home increased slightly from 68 days in June 2005 to 69 days in June 2006. The ratio between the asking price to the sales price increased over the past 12 months. On average, sellers obtained 93.6% of their asking price in June 2005, and 94.5% of their asking price in June 2006.

Homebuyers and home sellers should keep in mind that the data above is simply a snapshot in time. Therefore, the data must be evaluated over a longer duration to understand enduring market trends.

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