Table H.2.
Sample sizes needed for estimating proportions of resistance and detecting increasing trends in resistance with a given accuracy
| Trend | Sample Size | Percentage Accurate 2021 | Average Accuracy 2021 | Percentage Accurate 2023 | Average Accuracy 2023 | Percentage Accurate 2025 | Average Accuracy 2025 | Power Trend 2019–2023 | Power Trend 2019–2025 |
|---|---|---|---|---|---|---|---|---|---|
| 5% ↗□ 15% | At (2021, 2023, 2025) estimation of 0.073%, 0.105%, 0.15% with accuracy 0.0466, 0.0507, 0.0563, respectively | ||||||||
| 170 | 94.1 | 0.039 | 84.6 | 0.046 | 77.5 | 0.053 | 62.1 | 97.4 | |
| 100 | 27.1 | 0.051 | 9.3 | 0.06 | 2.9 | 0.069 | 48.9 | 93.4 | |
| 5% ↗□ 10% | At (2021, 2023, 2025) estimation of 6.32%, 7.97%, 10% with accuracy 0.0454, 0.0475, 0.05, respectively | ||||||||
| 300 | 100 | 0.028 | 100 | 0.031 | 100 | 0.034 | 31.7 | 75.1 | |
| 250 | 100 | 0.030 | 100 | 0.034 | 100 | 0.037 | 26.0 | 69.1 | |
| 200 | 99.9 | 0.034 | 99.7 | 0.038 | 99.0 | 0.042 | 23.4 | 66.7 | |
| 170 | 97.5 | 0.037 | 93.1 | 0.041 | 86.7 | 0.045 | 23.8 | 60.0 | |
| 150 | 86.9 | 0.039 | 77.7 | 0.043 | 65.6 | 0.048 | 20.8 | 54.8 | |
| 100 | 36.5 | 0.048 | 21.3 | 0.053 | 12.2 | 0.058 | 15.5 | 43.3 | |
| 10% ↗□ 20% | At (2021, 2023, 2025) estimation of 12.71%, 16.02%, 20% with accuracy 0.0534, 0.0575, 0.0625, respectively | ||||||||
| 300 | 100 | 0.038 | 100 | 0.041 | 100 | 0.045 | 62.9 | 97.4 | |
| 250 | 100 | 0.041 | 100 | 0.045 | 100 | 0.049 | 57.7 | 95.6 | |
| 200 | 97.9 | 0.046 | 98.5 | 0.051 | 99.8 | 0.055 | 53.3 | 93.8 | |
| 170 | 81.5 | 0.050 | 76.2 | 0.055 | 79.7 | 0.060 | 46.1 | 94.1 | |
| 150 | 52.1 | 0.053 | 40.1 | 0.058 | 39.3 | 0.063 | 47.4 | 90.6 | |
| 100 | 5.9 | 0.065 | 3.2 | 0.071 | 1.0 | 0.077 | 35.4 | 82.5 | |
| 20% ↗□ 30% | At (2021, 2023, 2025) estimation of 23.03%, 26.37%, 30% with accuracy 0.0663, 0.0705, 0.075, respectively | ||||||||
| 300 | 100 | 0.047 | 100 | 0.050 | 100 | 0.051 | 48.7 | 87.6 | |
| 250 | 100 | 0.052 | 100 | 0.054 | 100 | 0.056 | 42.3 | 83.8 | |
| 200 | 100 | 0.058 | 100 | 0.061 | 100 | 0.063 | 41.5 | 82.1 | |
| 170 | 90.1 | 0.063 | 97.9 | 0.065 | 100 | 0.068 | 36.1 | 76.3 | |
| 150 | 45.0 | 0.067 | 58.4 | 0.070 | 83.7 | 0.072 | 33.7 | 74.4 | |
| 100 | 0.8 | 0.081 | 0.5 | 0.084 | 0.5 | 0.088 | 24.1 | 63.8 | |
| 30% ↗□ 40% | At (2021, 2023, 2025) estimation of 33.18%, 36.52%, 40% with accuracy 0.0790, 0.0832, 0.0875, respectively | ||||||||
| 300 | 100 | 0.053 | 100 | 0.054 | 100 | 0.055 | 39.2 | 82.9 | |
| 250 | 100 | 0.058 | 100 | 0.059 | 100 | 0.060 | 36.0 | 77.8 | |
| 200 | 100 | 0.065 | 100 | 0.066 | 100 | 0.067 | 32.9 | 73.0 | |
| 170 | 100 | 0.070 | 100 | 0.071 | 100 | 0.073 | 27.5 | 68.5 | |
| 150 | 98.3 | 0.074 | 100 | 0.076 | 100 | 0.077 | 28.7 | 67.9 | |
| 100 | 0.4 | 0.090 | 0.5 | 0.092 | 1.8 | 0.094 | 22.2 | 52.8 | |
| 40% ↗□ 50% | At (2021, 2023, 2025) estimation of 43.28%, 46.63%, 50% with accuracy 0.0916, 0.0958, 0.1, respectively | ||||||||
| 300 | 100 | 0.056 | 100 | 0.056 | 100 | 0.056 | 36.4 | 79.3 | |
| 250 | 100 | 0.061 | 100 | 0.061 | 100 | 0.061 | 33.9 | 75.9 | |
| 200 | 100 | 0.068 | 100 | 0.068 | 100 | 0.069 | 29.9 | 70.4 | |
| 170 | 100 | 0.073 | 100 | 0.074 | 100 | 0.074 | 28.9 | 67.7 | |
| 150 | 100 | 0.078 | 100 | 0.079 | 100 | 0.079 | 26.6 | 63.0 | |
| 100 | 4.5 | 0.095 | 51.7 | 0.096 | 100 | 0.096 | 22.2 | 52.4 | |
| 50% ↗□ 60% | At (2021, 2023, 2025) estimation of 53.37%, 56.72%, 60% with accuracy 0.0958, 0.0916, 0.0875, respectively | ||||||||
| 300 | 100 | 0.056 | 100 | 0.056 | 100 | 0.055 | 38.9 | 81.2 | |
| 250 | 100 | 0.061 | 100 | 0.061 | 100 | 0.060 | 35.8 | 76.9 | |
| 200 | 100 | 0.068 | 100 | 0.068 | 100 | 0.067 | 28.9 | 68.9 | |
| 170 | 100 | 0.074 | 100 | 0.074 | 100 | 0.073 | 27.8 | 64.6 | |
| 150 | 100 | 0.079 | 100 | 0.078 | 100 | 0.077 | 28.4 | 66.4 | |
| 100 | 52.9 | 0.096 | 5.3 | 0.095 | 1.2 | 0.094 | 25.0 | 54.6 | |
| 60% ↗□ 70% | At (2021, 2023, 2025) estimation of 63.48%, 66.82%, 70% with accuracy 0.0832, 0.0790, 0.075, respectively | ||||||||
| 300 | 100 | 0.054 | 100 | 0.053 | 100 | 0.051 | 41.1 | 82.9 | |
| 250 | 100 | 0.059 | 100 | 0.058 | 100 | 0.056 | 37.0 | 79.0 | |
| 200 | 100 | 0.066 | 100 | 0.064 | 100 | 0.063 | 34.2 | 73.3 | |
| 170 | 100 | 0.072 | 100 | 0.070 | 100 | 0.068 | 32.4 | 73.3 | |
| 150 | 100 | 0.076 | 98.7 | 0.075 | 83.0 | 0.072 | 29.9 | 67.0 | |
| 100 | 0.6 | 0.092 | 0.3 | 0.090 | 0.4 | 0.088 | 26.3 | 56.3 | |
| 70% ↗□ 80% | At (2021, 2023, 2025) estimation of 73,63%, 76.97%, 80% with accuracy 0.0705, 0.0663, 0.0625, respectively | ||||||||
| 300 | 100 | 0.050 | 100.0 | 0.047 | 100 | 0.045 | 50.9 | 88.7 | |
| 250 | 100 | 0.054 | 100.0 | 0.052 | 100 | 0.049 | 48.9 | 87.2 | |
| 200 | 100 | 0.060 | 100.0 | 0.058 | 99.8 | 0.055 | 41.6 | 82.8 | |
| 170 | 97.3 | 0.066 | 88.8 | 0.063 | 78.2 | 0.060 | 38.8 | 79.9 | |
| 150 | 61.6 | 0.069 | 45.8 | 0.067 | 40.6 | 0.063 | 39.5 | 75.9 | |
| 100 | 0.2 | 0.085 | 0.6 | 0.081 | 1.2 | 0.077 | 30.6 | 68.1 | |
| 80% ↗□ 90% | At (2021, 2023, 2025) estimation of 83,98%, 87.29%, 90% with accuracy 0.0575, 0.0534, 0.05, respectively | ||||||||
| 300 | 100 | 0.041 | 100 | 0.037 | 100 | 0.034 | 76.4 | 97.4 | |
| 250 | 100 | 0.045 | 100 | 0.041 | 100 | 0.037 | 69.5 | 96.1 | |
| 200 | 98.6 | 0.051 | 98.5 | 0.046 | 99.0 | 0.042 | 65.9 | 96.4 | |
| 170 | 78.6 | 0.055 | 80.8 | 0.050 | 86.5 | 0.045 | 63.1 | 94.6 | |
| 150 | 40.4 | 0.058 | 50.8 | 0.053 | 64.8 | 0.048 | 57.8 | 93.6 | |
| 100 | 2.2 | 0.071 | 4.9 | 0.065 | 11.0 | 0.059 | 46.4 | 87.3 | |
| 90% ↗□ 95% | At (2021, 2023, 2025) estimation of 92,03%, 93.68%, 95% with accuracy 0.0475, 0.0454, 0.0438, respectively | ||||||||
| 300 | 100 | 0.031 | 100 | 0.028 | 100 | 0.025 | 37.6 | 72.6 | |
| 250 | 100 | 0.034 | 100 | 0.030 | 100 | 0.027 | 37.3 | 67.3 | |
| 200 | 99.9 | 0.037 | 99.9 | 0.034 | 100 | 0.031 | 30.3 | 64.3 | |
| 170 | 92.4 | 0.041 | 97.2 | 0.037 | 98.9 | 0.033 | 29.4 | 59.1 | |
| 150 | 74.2 | 0.044 | 86.0 | 0.039 | 94.0 | 0.035 | 30.6 | 57.2 | |
| 100 | 19.9 | 0.053 | 35.0 | 0.049 | 41.1 | 0.044 | 25.2 | 46.0 | |