News

Census 2020: Complete Count Committee Kick-Off

October 19, 2017

UNM BBER in its role as a coordinating organization of the US Census Bureau’s State Data Center program is promoting the “Census 2020: Complete Count Committee Kick-Off”.

 Who should attend?  Congressional district offices, local government staff, tribal representatives, nonprofits, community leaders, education/health representatives, foundation staff.

When: November 14th from 9:00 am to 11:00 am

Where: Mid Region Council of Governments  at 809 Copper Ave NW, Albuquerque, NM 87102

Registration contact: Suzan Reagan, sreagan@unm.edu (505) 277-3038 or Kendra Montanari kmontanari@mrcog-nm.gov  (505)724-3601

 The U.S. Constitution requires that each decade we take a count--or a census --of America's population.  The 2020 Census goal is to count everyone once, only once, and in the right place. Each year, the federal government distributes hundreds of billions of dollars to states and communities based on US Census Bureau data.  For  New Mexico, according to a recent study by the George Washington University Institute of Public Policy, $6,197,394,617 ($2,972 per capita) were distributed in federal dollars in FY2015 in 16 programs based on decennial numbers.

 With so much riding on the Census, how does a community motivate people to respond? Attend this session to learn about outreach strategies planned for the 2020 Census.  One of the major strategies presented will be the Complete Count Committee (CCC) for Tribal, city, county governments.  Each participant will receive CCC materials as well as a demonstration on the Response Area Outreach Mapper (ROAM).  ROAM is an interactive web mapping application that allows NM users to visualize areas by predicted mail non-response rates to determine the location of harder to count areas.  This meeting is planned to be interactive with opportunities for questions and dialogue.

UNM Bureau of Business and Economic Research
400 Cornell Dr NE, Albuquerque, NM 87131-0001 • 505.277.2216 Main • 505.277.6626 Data Bank