School doesn’t look the same as it did this time last year.
Among likely voters in Oklahoma who have a child or children under the age of 18 living in their home, only 44.6 percent are attending in person in school classrooms. Nearly one-in-three is completely virtual and one-in-four is in a combination of both.
|1. Doing in-class attendance for school||44.6%|
|2. Doing virtual class attendance for school||30.9|
|3. Doing both||24.5|
The lowest in-class attendance, 36.2 percent, was reported in the 5th Congressional District (CD5), which makes up the Oklahoma City metro area. Next was the CD4, which is southwest Oklahoma from Norman to Lawton at 38.1 percent, and followed by CD1 at 43.7 percent which is the Tulsa metro area. The highest of in-class attendance in the state was reported in CD2, which is pre-dominantly rural southeast Oklahoma.
The highest virtual-only class attendance, 54.6 percent, was reported in CD4. The lowest virtual-only class attendance, 15.2 percent, was reported in CD1.
Not all likely voters identified as having a child in their household under the age of 18, so these poll results are a subset of the poll and carry it’s own margin of error. The margin of error for this subset of the poll was 8.31 percent.
About the Poll
SoonerPoll.com, Oklahoma’s public opinion pollster, conducted the poll of Oklahoma likely voters for a general election. The poll was commissioned by News9 in Oklahoma City and Newson6 in Tulsa.
The scientific study was conducted September 2-8, 2020 with 486 likely voters selected at random statewide from a tri-frame of SoonerPoll’s own online panel, cell phones and landline telephones. For cell phone and landline telephones, voters are selected at random from SoonerPoll’s voter database and matched with cell and landline phone numbers. Cell phone participants are collected using live interviewers and landline participants are collected using both live interviewer and IVR (Interactive Voice Response) technology. The sample was weighted by political party, age, gender, and congressional district in order to reflect the Oklahoma likely voter population.
The sample was weighted by age, race, and gender. The weighting was conducted using a ‘layered technique.’ The study has a Margin of Error (MoE) of ±4.45 percent.