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L <br /> The 1992 study followed a major price run-up focus on matters other than the age and <br /> during which high prices kept many would be condition of existing residential units. <br /> buyers from entering the market. The study <br /> conducted in 1997 was nearing the end of a very Statewide, the median year built for residential <br /> long market recovery during which incomes were housing units was 1978, which is slightly <br /> catching up with prices and crowding was younger than the national median build year of <br /> notably lower than in 1992. The 2003 measure 1977. Among the Counties, Maui's units are the <br /> was taken at the beginning of the next price run- oldest with a median build year of 1964 followed <br /> up. by Honolulu County (1975), Kaua'i County <br /> 0 (1984), and Hawaii County (1986). <br /> By 2006, Hawaii was at the peak of the largest <br /> price run-up in its history. During that period, Statewide, very few of Hawaii's housing units <br /> crowding and doubling remained low. In 2008, are in poor condition or substandard as defined <br /> the Great Recession began in the housing by the US Census Bureau (lacking complete <br /> market and the effects were dramatic. Yet, by plumbing and/or kitchen facilities). According to <br /> 2011, crowding seemed to have abated and the 2014 5-year estimate from ACS, less than <br /> evidenced a slight decrease from 2006. In 2016, one percent of occupied housing units Statewide <br /> levels of crowding appear to be on the rise have incomplete plumbing facilities, and 1 8 <br /> again, although the increase from 2011 is not percent have incomplete kitchen facilities. <br /> significant. Across the Counties, the rate of incomplete <br /> plumbing facilities ranges from a high of 2.0 <br /> Table 4 also shows that crowding and doubling- percent in Hawaii County to a low of 0.4 percent <br /> up behave differently in each of the counties. In in Honolulu County. The Counties also report a <br /> general, the rates are most volatile in the City low incidence of incomplete kitchen facilities <br /> and County of Honolulu. Maui and Kauai have ranging from a high of 2.6 percent in Hawaii <br /> similar profiles and are typically less crowded County and a low of 1.3 percent in Kauai <br /> than Oahu. Hawaii County has been the least County. <br /> volatile market. The pattern of change in <br /> crowding and doubling-up is generally the same Our housing units are smaller than are those in <br /> as other counties, but the rate of change is other American housing markets. For the State <br /> always smaller than for the other counties. and all of the Counties, the mean number of <br /> rooms per occupied residential housing unit was <br /> Hawai'i's crowding rate, as measured by national 4.9. Nationally, the average housing unit had 5.8 <br /> standards, is always among the highest For rooms in 2014. Despite Hawai'i's housing stock <br /> 2015, Hawaii was ranked first in crowding for having fewer rooms than the national average, <br /> owner-occupied units (6.4%) and second for other major housing markets in the country <br /> renter-occupied units (12.3%).8 report average room counts lower than Hawai'i's <br /> (New York, 4.2; San Francisco, 4.4; Boston, 4 5). <br /> f. Age and Condition of Units9 <br /> 2. Housing Production <br /> Housing planners must take into consideration <br /> both the age and overall condition of units in the Hawai'i's housing stock, those units available to <br /> residential housing stock. As compared to other residents, was 368,122 units in 1990 and <br /> cities in the United States, Hawai'i's housing 477,520 units in 2014. That is an increase of <br /> stock is relatively young and in good condition 109,398 units (29.7%) over 25 years. That <br /> overall, suggesting that housing planning should amounted to about 4,376 units per year and an <br /> annual growth rate of 1.1 percent. <br /> ' 8 ACS 2015, Table B25014, Tenure by occupants per <br /> room, 5yr estimates. <br /> 9 United States Census Bureau (2014) ACS 5-Year <br /> ' Estimates, 2010-2014,Table S2504. <br /> Hawaii Housing Planning Study,2016 Page 9 <br /> ©SMS, Inc. December,2016 <br />