Santa Clara County Grand Jury • 2017-2018 • Agency Response
Response to: City of Gilroy – Additional Information

(endorsed) September 11, 2018 Peter L. Hertan, Foreperson Santa Clara County Civil Grand Jury Sep*

Published: September 11, 2018 4 pages
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Findings and Recommendations 2 findings

F7 Page 4
NIMBY (Not in My Backyard) opposition adversely affects the supply of BMR Housing units. Response: Agree.
Related Recommendations (1)
R7
Page 4
A task force to communicate the value and importance of each city meeting its RHNA objectives for BMR housing should be created and funded by the County and all 15 cities, by June 30, 2019. Response: Agree. Consideration should be given to incorporating this recommendation with the Cities Association of Santa Clara County effort to establish a RHNA sub-region.
F8 Page 4
It is unnecessarily difficult to confirm how many BMR units are constructed in a particular year or RHNA cycle because cities and the County only report permitted units. Response: Disagree. It is not clear to us why this problem exists. In Gilroy, once building permits are issued, construction is commenced and completed. It is rare, if at all, that a permit is issued and then not constructed.
Related Recommendations (1)
R8
Page 4
All 15 cities and the county should annually publish the number of constructed BMR units. Response: This recommendation has been implemented. Gilroy prepares a General Plan and Housing Element Annual Progress Report (APR), which documents the City's progress toward achieving its RHNA. The report is accepted by the City Council, submitted to the Governor's Office of Planning and Research (OPR) and California Department of Housing and Community Development (HCD) and posted on the City's Housing and Community Development Division website. This concludes the City of Gilroy's responses to specific findings and recommendations. Sincerely Roland Velasco Mayor, City of Gilroy

No Responses Found 1

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Gilroy City

* This report's PDF did not contain easily extractable text and required Optical Character Recognition (OCR) for analysis. There may be minor errors in the extracted findings and recommendations due to OCR limitations with scanned documents.