Broadband connectivity is a key metric in today's economy. In an era of rapid expansion of the digital economy, it directly impacts GDP. Furthermore, with the COVID-19 guidelines of social distancing, internet connectivity became necessary to everyday activities such as work, learning, and staying in touch with family and friends. This paper introduces a publicly available U.S. Broadband Coverage data set that reports broadband coverage percentages at a zip code-level. We also explain how we used differential privacy to guarantee that the privacy of individual households is preserved. Our data set also contains error ranges estimates, providing information on the expected error introduced by differential privacy per zip code. We describe our error range calculation method and show that this additional data metric does not induce any privacy losses.
翻译:宽带连通性是当今经济中的一个关键衡量标准。 在数字经济快速扩张的时代,它直接影响到GDP。 此外,随着COVID-19社会偏移准则的出台,互联网连通性对于日常活动,例如工作、学习、与家人和朋友保持联系等日常活动变得十分必要。本文介绍了一个公开的美国宽带覆盖数据集,该数据集在拉链代码层面报告宽带覆盖率。我们还解释了我们如何使用不同隐私来保障个体家庭的隐私得到保护。我们的数据集还包含错误范围估计,提供了关于每拉链代码差异隐私引入的预期错误的信息。我们描述了我们的误差范围计算方法,并表明这一额外数据计量不会造成任何隐私损失。