距离误差
| # | 提供商 | 中位数 (km) | 测试 |
|---|---|---|---|
| 1 | BigDataCloud | 2.90 ±0.36 | 442 |
| 2 | IPGeolocation | 4.85 ±1.17 | 442 |
| 2 | IPInfo | 4.88 ±0.73 | 442 |
| 2 | IPRegistry | 4.92 ±0.37 | 419 |
| 2 | IPLocate | 5.44 ±1.72 | 442 |
| 2 | ipapi.is | 6.13 ±2.08 | 438 |
| 2 | IP2Location | 7.64 ±2.05 | 440 |
| 3 | MaxMind GeoLite2 | 9.30 ±0.73 | 442 |
| 3 | ipdata | 9.88 ±0.86 | 391 |
| 3 | ip-api.com | 9.91 ±1.49 | 177 |
| 3 | ipbase | 12.67 ±8.53 | 139 |
| 4 | Abstract | 66.63 ±49.71 | 138 |
国家
| # | 提供商 | 准确率 | 测试 |
|---|---|---|---|
| 1 | BigDataCloud | 99.77% ±0.62% | 442 |
| 1 | IPGeolocation | 99.55% ±0.76% | 442 |
| 1 | IPInfo | 99.55% ±0.76% | 442 |
| 1 | IPLocate | 99.55% ±0.76% | 442 |
| 1 | IP2Location | 99.55% ±0.76% | 440 |
| 1 | MaxMind GeoLite2 | 99.55% ±0.76% | 442 |
| 1 | ipapi.is | 99.54% ±0.76% | 438 |
| 1 | IPRegistry | 99.52% ±0.80% | 419 |
| 1 | ipdata | 98.98% ±1.10% | 391 |
| 1 | ip-api.com | 98.87% ±1.86% | 177 |
| 1 | Abstract | 97.83% ±2.73% | 138 |
| 2 | ipbase | 94.96% ±3.78% | 139 |
地区
| # | 提供商 | 准确率 | 测试 |
|---|---|---|---|
| 1 | MaxMind GeoLite2 | 85.24% ±3.39% | 442 |
| 1 | BigDataCloud | 84.62% ±3.36% | 442 |
| 1 | ipdata | 84.00% ±3.84% | 391 |
| 1 | IPInfo | 83.14% ±3.50% | 442 |
| 1 | IPRegistry | 82.10% ±3.67% | 419 |
| 1 | ip-api.com | 79.10% ±5.96% | 177 |
| 2 | IP2Location | 77.73% ±3.88% | 440 |
| 2 | ipapi.is | 76.43% ±3.97% | 438 |
| 2 | IPGeolocation | 76.02% ±3.97% | 442 |
| 2 | ipbase | 75.19% ±7.27% | 139 |
| 2 | IPLocate | 71.43% ±5.97% | 442 |
| 3 | Abstract | 60.87% ±8.78% | 138 |
城市
| # | 提供商 | 准确率 | 测试 |
|---|---|---|---|
| 1 | BigDataCloud | 69.23% ±4.29% | 442 |
| 1 | MaxMind GeoLite2 | 67.48% ±4.51% | 442 |
| 1 | IPInfo | 67.42% ±4.35% | 442 |
| 1 | ipdata | 64.24% ±5.04% | 391 |
| 1 | IPRegistry | 63.72% ±4.58% | 419 |
| 2 | IPGeolocation | 59.95% ±4.55% | 442 |
| 2 | IP2Location | 57.27% ±4.60% | 440 |
| 2 | IPLocate | 57.01% ±4.60% | 442 |
| 2 | ip-api.com | 54.80% ±7.25% | 177 |
| 2 | ipbase | 54.01% ±8.23% | 139 |
| 2 | ipapi.is | 53.88% ±4.65% | 438 |
| 3 | Abstract | 36.44% ±8.56% | 138 |
在当前样本量下，领先的服务商之间无法作出统计学上的区分：国家 (11), 地区 (6), 城市 (5)。共享同一名次的服务商，其 95% 置信区间相互重叠，并按距离误差排序。
排名采用逆方差加权聚合方式，GPS精度越高的提交权重越大。精度低于1公里的提交按1公里计算，因此单次提交无法左右某个提供商的得分。GPS精度超过5公里的提交将被排除。为防止重复测试导致评分膨胀，每个IP和位置在每7天窗口内仅计算最新一次提交。 了解更多关于方法论的信息。
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