U.S. flag

An official website of the United States government, Department of Justice.

Enhancing Intelligence-Led Policing (ILP) Capabilities in the Area of Responsibility of the NCHIDTA and Northern California Regional Intelligence Center through Implementation of a Regional Intelligen

Award Information

Award #
Congressional District
Funding First Awarded
Total funding (to date)

Description of original award (Fiscal Year 2009, $800,700)

The State and Local Law Enforcement Assistance Program: Combating Criminal Narcotics Activity Stemming from the Southern border of the United States under the American Recovery and Reinvestment Act of 2009 is designed to provide resources for hiring, retention, assistance, and equipment to local law enforcement along the Southern border and in High-Intensity Drug Trafficking Areas in order to combat criminal narcotics activity stemming from the Southern border of the United States. For the purpose of this solicitation, the term 'criminal narcotics activity' includes all drugs controlled by the Controlled Substance Act 21 USC Section 801.

Under Category III: Facilitating Justice Information Sharing, Collaboration, and Problem Solving, San Mateo County, in conjunction with the San Mateo Sheriff's Office and the Northern California High-Intensity Drug Trafficking Area (NCHIDTA), will use the grant funds to enhance Intelligence-Led Policing capabilities through the implementation of a Regional Intelligence Management System (IMS). The region's law enforcement agencies currently lack an automated intelligence management system. Mexican drug trafficking organizations facilitate national-level distribution of wholesale quantities of illicit drugs from the San Francisco Bay Area to drug markets throughout the country. San Mateo County will leverage existing partnerships forged through NCHIDTA and the Northern California Regional Intelligence Center to provide the IMS. Grant funds will define Memoranda of Agreement, acquire the IMS, complete initial system implements, provide training, and incrementally add data sources.


Date Created: July 14, 2009