Global Financial Inclusion (Global Findex) Database 2021 - Hong Kong SAR, China

Abstract
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The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage
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National coverage

Analysis unit
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Individual

Kind of data
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Observation data/ratings [obs]

Sampling procedure
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In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for Hong Kong SAR, China is 1003.

Mode of data collection
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Landline and mobile telephone 

Research instrument
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Questionnaires are available on the website.

Sampling error estimates
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Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

摘要
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第四版全球金融包容指数（Global Findex）揭示了人们在COVID-19疫情期间如何获取和使用金融服务，在此期间，流动性限制和健康政策促使各类数字服务的需求显著增加。
全球金融包容指数是全球最全面的金融包容性数据库，也是唯一允许进行全球及区域间跨国分析的全球需求侧数据来源，它以严谨和多维度的视角描绘了成年人如何储蓄、借款、支付以及管理财务风险。
2021年的全球金融包容指数数据来自超过120个经济体中约128,000名成人的国家代表性调查。最新版本延续了2011年、2014年和2017年的版本，新增了一系列衡量财务健康和弹性的指标，并包含了关于数字支付采用情况（包括商家和政府支付）的更细致数据。
全球金融包容指数是金融服务从业者、政策制定者、研究人员和发展专业人士不可或缺的资源。
地理覆盖范围
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国家覆盖
分析单位
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个体
数据类型
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观察数据/评级 [obs]
抽样程序
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在大多数发展中经济体中，全球金融包容指数数据传统上通过面对面访谈收集。在电话覆盖率不足80%或面对面调查为常规方法的经济体中，调查以面对面方式进行。然而，由于持续的COVID-19相关流动性限制，2021年在一些这些经济体中无法进行面对面访谈。因此，在2017年曾进行面对面调查的67个经济体中进行了基于电话的调查。这些67个经济体是根据人口规模、电话普及率、COVID-19感染率和执行电话调查方法的可行性（在Gallup本应进行面对面数据收集的地方）被选定的，同时在整个访谈过程中遵守所有政府发布的指导方针。Gallup在考虑手机和固定电话所有权方面均予以重视。根据Gallup世界民意调查2019年的数据，在这些经济体中最后一次进行面对面调查时，几乎所有这些经济体中的至少80%的成年人报告拥有手机。所有样本都是概率样本，并代表国家居民成人人口。在17个经济体中，由于手机拥有率低和调查限制，电话调查不是可行的选择。这些经济体将在2022年收集数据，并于2023年发布。
在面对面调查进行的经济体中，抽样第一阶段是识别主要抽样单位。这些单位按人口规模、地理区域或两者结合进行分层，并通过一个或多个抽样阶段实现聚类。当有可用的人口信息时，样本选择基于与人口规模成比例的概率；否则，使用简单随机抽样。使用随机路线程序选择抽样家庭。除非出现直接拒绝，否则调查员最多尝试三次对抽样家庭进行调查。为了提高接触和完成调查的概率，将在不同时间以及尽可能的不同日子进行尝试。如果无法在初始抽样家庭中获得访谈，则使用简单替代方法。受访者在选定的家庭中进行随机选择。列出所有符合条件的家庭成员，手持调查设备随机选择要访谈的家庭成员。对于纸质调查，使用Kish网格法选择受访者。在文化限制规定性别匹配的经济体中，从所有符合条件的访谈者性别成年人中进行随机选择。
在传统上基于电话的经济体中，受访者选择遵循与往年相同的程序，使用随机数字拨号或国家代表性电话号码列表。在手机和固定电话普及率较高的经济体中，使用双重抽样框架。
对新电话经济体的受访者选择也应用相同的程序。在固定电话存在和使用率基于历史Gallup估计为20%或更高的经济体中，使用双重框架（固定电话和手机）随机数字拨号。在几乎没有固定电话存在（低于20%）的经济体中，使用手机随机数字拨号。
在手机或固定电话普及率80%或更高的经济体中，固定电话受访者的随机选择是通过使用最新生日或家庭编号方法实现的。在这些经济体或手机或固定电话普及率低于80%的经济体中的手机受访者或在这些经济体中，不再进行进一步的选择。在每个家庭中至少尝试三次联系到一个人，分布在不同的日子和时间段。
香港特别行政区的样本量为1003。
数据收集方式
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固定电话和移动电话
研究工具
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问卷可在网站上找到。
抽样误差估计
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标准误差估计（考虑到抽样误差）因国家和指标而异。有关特定国家的误差范围，请参阅方法部分和相关表格，Asli Demirgüç-Kunt，Leora Klapper，Dorothe Singer，Saniya Ansar。2022年。全球金融包容指数数据库2021年：COVID-19时代的金融包容性、数字支付和韧性。华盛顿特区：世界银行。

搜集汇总

背景与挑战

背景概述

该数据集是2021年全球金融包容性数据库的中国香港特别行政区部分，属于第四版，旨在提供成年人金融行为的全面视图，包括储蓄、借贷、支付和风险管理。它基于对1003名香港成年人的电话调查，新增了金融健康和韧性测量系列，以及更细粒度的数字支付数据，反映了COVID-19疫情期间金融服务的访问和使用情况。数据集由世界银行和盖洛普公司合作生产，采用概率抽样确保全国代表性，数据收集时间为2021年8月至11月，使用中文进行。