Additional summary analysis by Brian Clifton can be read here.
| Continent Level Accuracy | Country Level Accuracy | City Level Accuracy | Avg. Distance (km) | Distance within 50km % | Distance within 200km % |
|---|---|---|---|---|---|
| 99.88% | 99.60% | 75.66% | 139 | 86.95% | 93.03% |
Most sessions were attributed to the same country/continent after switching on IP anonymisation. However, when it comes to the city level accuracy, 76% of the IP-anonymised visits were attributed to the same city, and 11% of the visits were attributed to the adjacent cities within 50km (About the distance from London to Luton). Therefore, despite the average disprepancy in distance being 139 km apart, 87% of the visits have less than 50km disprepancy (or no disprepancy at all).
You may find the details on the discrepancy distribution plot in the next section.
| Device | Continent Level Accuracy | Country Level Accuracy | City Level Accuracy | Avg. Distance (km) | Distance within 50km % | Distance within 200km % |
|---|---|---|---|---|---|---|
| Desktop/Tablet | 99.78% | 99.36% | 72.31% | 160 | 85.54% | 92.67% |
| Mobile | 99.95% | 99.79% | 78.21% | 122 | 88.03% | 93.30% |
Mobile visits are generally more accurate comparing to desktop/tablet visits, especially at the city level.
| Continent | Continent Level Accuracy | Country Level Accuracy | City Level Accuracy | Avg. Distance (km) | Distance within 50km % | Distance within 200km % |
|---|---|---|---|---|---|---|
| Africa | 99.63% | 99.63% | 76.92% | 114 | 91.95% | 94.08% |
| Americas* | 99.93% | 99.39% | 86.66% | 264 | 92.67% | 95.57% |
| Asia | 99.50% | 99.12% | 75.54% | 222 | 89.92% | 92.93% |
| Eastern Europe | 99.93% | 99.55% | 84.54% | 88 | 89.82% | 94.73% |
| Europe* | 99.88% | 99.51% | 73.78% | 124 | 84.58% | 92.67% |
| Northern America | 99.94% | 99.83% | 75.47% | 147 | 88.56% | 92.97% |
| Oceania | 99.90% | 99.85% | 86.85% | 192 | 88.01% | 93.39% |
Americas (excluding Northern America), Eastern Europe, and Oceania appear to have smaller discrepency in terms of identifying cities after IP anonymisation. Their city level accuracy are generally higher than other continents by 10%.
Note:
Americas* excludes North America.
Europe* excludes Eastern Europe.
The following section will further breakdown the continents by sub-continents.
| Sub Continent | Sub Continent Level Accuracy | Country Level Accuracy | City Level Accuracy | Avg. Distance (km) | Distance within 50km % | Distance within 200km % | Number of Sessions |
|---|---|---|---|---|---|---|---|
| Africa | |||||||
| Eastern Africa | 98.34% | 98.34% | 90.03% | 324 | 97.91% | 98.26% | 301 |
| Middle Africa | 86.67% | 86.67% | 70.00% | 1221 | 91.30% | 91.30% | 30 |
| Northern Africa | 96.20% | 96.20% | 85.17% | 291 | 93.95% | 96.37% | 263 |
| Southern Africa | 99.91% | 99.91% | 75.94% | 93 | 91.61% | 93.83% | 7610 |
| Western Africa | 95.65% | 95.65% | 90.43% | 262 | 95.41% | 95.41% | 115 |
| Americas | |||||||
| Caribbean | 99.69% | 98.13% | 81.31% | 342 | 91.56% | 99.35% | 321 |
| Central America | 99.52% | 99.43% | 80.65% | 551 | 89.83% | 94.09% | 6828 |
| Northern America | 99.92% | 99.83% | 75.47% | 147 | 88.56% | 92.97% | 335661 |
| South America | 99.44% | 99.40% | 89.95% | 112 | 94.12% | 96.22% | 13010 |
| Asia | |||||||
| Central Asia | 98.52% | 98.52% | 95.83% | 224 | 97.00% | 97.14% | 743 |
| Eastern Asia | 99.78% | 99.44% | 70.39% | 213 | 88.45% | 91.73% | 31200 |
| Southeast Asia | 99.44% | 99.36% | 86.69% | 167 | 94.50% | 95.72% | 7474 |
| Southern Asia | 97.38% | 97.38% | 86.76% | 375 | 90.18% | 93.21% | 2138 |
| Western Asia | 98.16% | 97.30% | 84.68% | 302 | 91.33% | 96.03% | 4178 |
| Europe | |||||||
| Eastern Europe | 99.61% | 99.55% | 84.54% | 88 | 89.82% | 94.73% | 67576 |
| Northern Europe | 99.66% | 99.45% | 73.57% | 137 | 83.43% | 92.45% | 131890 |
| Southern Europe | 99.78% | 99.70% | 71.12% | 208 | 84.55% | 91.99% | 58816 |
| Western Europe | 99.68% | 99.50% | 74.53% | 97 | 85.20% | 92.95% | 245376 |
| Oceania | |||||||
| Australasia | 99.90% | 99.84% | 86.48% | 190 | 87.55% | 93.14% | 5065 |
| Melanesia | 100.00% | 100.00% | 100.00% | 0 | 100.00% | 100.00% | 121 |
| Micronesian Region | 100.00% | 100.00% | 86.84% | 419 | 100.00% | 100.00% | 38 |
| Polynesia | 100.00% | 100.00% | 94.87% | 829 | 100.00% | 100.00% | 39 |
As shown, Northern Europe, Southern Europe, Western Europe, Eastern Asia, Northern America and Southern Africa have relatively higher discrepency (<80% accuracy rate) after switching on IP anonymisation.
Please note that some sub-continents like Middle Africa don’t have sufficient number of visits to generate a confident assessment on accuracy. So please take into account the number of sessions shown in the last column and view the results with caution.