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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