Skip to main content

Advertisement

Table 3 Design effect due to the unequal sampling design effect (2013)

From: National weighting of data from the Behavioral Risk Factor Surveillance System (BRFSS)

  Number Adult population size Sampling rate Design effect Margin of error Expected margin of error
Nationwide 483,865 237,659,116 0.20% 4.45 0.14% 0.30%
Alabama 6,503 3,675,910 0.25% 2.19 1.22% 1.80%
Alaska 4,578 532,446 0.82% 2.10 1.45% 2.10%
Arizona 4,252 4,858,658 0.15% 3.21 1.50% 2.69%
Arkansas 5,268 2,223,405 0.23% 2.14 1.35% 1.97%
California 11,518 28,416,963 0.05% 1.96 0.91% 1.28%
Colorado 13,649 3,891,264 0.31% 1.76 0.84% 1.11%
Connecticut 7,710 2,779,516 0.32% 2.20 1.12% 1.65%
Delaware 5,206 703,509 0.74% 1.92 1.36% 1.88%
DC 4,931 514,080 0.74% 2.76 1.40% 2.32%
Florida 34,186 15,084,361 0.05% 5.16a 0.53% 1.20%
Georgia 8,138 7,322,131 0.08% 1.96 1.09% 1.52%
Hawaii 7,858 1,071,394 0.71% 2.18 1.11% 1.63%
Idaho 5,630 1,156,346 0.51% 2.18 1.31% 1.93%
Illinois 5,608 9,762,138 0.06% 2.12 1.31% 1.90%
Indiana 10,338 4,917,721 0.18% 1.80 0.96% 1.29%
Iowa 8,157 2,337,531 0.31% 1.82 1.09% 1.46%
Kansas 23,282 2,143,345 0.55% 1.60 0.64% 0.81%
Kentucky 11,013 3,340,703 0.34% 2.42 0.93% 1.45%
Louisiana 5,251 3,452,150 0.26% 2.64 1.35% 2.20%
Maine 8,097 1,059,215 0.94% 1.79 1.09% 1.46%
Maryland 13,011 4,485,506 0.29% 2.51 0.86% 1.36%
Massachusetts 15,071 5,197,008 0.42% 2.56 0.80% 1.28%
Michigan 12,759 7,582,340 0.14% 1.93 0.87% 1.20%
Minnesota 14,340 4,067,360 0.30% 3.43 0.82% 1.51%
Mississippi 7,453 2,228,376 0.35% 2.25 1.14% 1.70%
Missouri 7,118 4,594,138 0.15% 2.29 1.16% 1.76%
Montana 9,693 775,259 1.12% 1.98 1.00% 1.40%
Nebraska 17,139 1,381,509 1.39% 2.78 0.75% 1.25%
Nevada 5,101 2,067,996 0.23% 3.48 1.37% 2.56%
New Hampshire 6,463 1,038,311 0.73% 1.85 1.22% 1.66%
New Jersey 13,386 6,785,166 0.23% 2.29 0.85% 1.28%
New Mexico 9,316 1,555,803 0.56% 2.20 1.02% 1.51%
New York 8,979 15,196,034 0.04% 1.84 1.03% 1.40%
North Carolina 8,860 7,369,782 0.16% 1.90 1.04% 1.43%
North Dakota 7,806 535,913 0.91% 2.08 1.11% 1.60%
Ohio 11,971 8,853,774 0.15% 2.25 0.90% 1.34%
Oklahoma 8,244 2,850,383 0.28% 1.76 1.08% 1.43%
Oregon 5,949 3,006,433 0.18% 1.84 1.27% 1.72%
Pennsylvania 11,429 9,971,001 0.20% 1.83 0.92% 1.24%
Rhode Island 6,531 831,949 0.66% 1.96 1.21% 1.70%
South Carolina 10,717 3,600,525 0.36% 2.10 0.95% 1.37%
South Dakota 6,895 621,017 1.27% 2.89 1.18% 2.00%
Tennessee 5,815 4,909,634 0.14% 2.13 1.29% 1.88%
Texas 10,917 18,714,465 0.05% 2.54 0.94% 1.49%
Utah 12,769 1,934,173 0.64% 1.71 0.87% 1.13%
Vermont 6,392 499,262 1.21% 1.76 1.23% 1.63%
Virginia 8,464 6,244,639 0.12% 1.92 1.07% 1.47%
Washington 11,162 5,234,679 0.29% 1.91 0.93% 1.28%
West Virginia 5,899 1,468,456 0.37% 1.47 1.28% 1.55%
Wisconsin 6,589 4,381,727 0.12% 2.57 1.21% 1.94%
Wyoming 6,454 433,712 1.45% 2.09 1.22% 1.76%
  1. aThe reason for the high Florida design effect is because they oversampled smaller counties that particular year. They do this every 3 years in order to have direct estimates for each county in the state. This design leads to highly unequal probabilities of selection across counties in the state