Survey Methodology

The indicators in the 2014 Global Financial Inclusion (Global Findex) database are drawn from survey data covering almost 150,000 people in more than 140 econo­mies—representing more than 97 percent of the world’s population. The survey was carried out over the 2014 calendar year by Gallup, Inc. as part of its Gallup World Poll, which since 2005 has continually conducted surveys of approxi­mately 1,000 people in each of more than 160 economies and in over 140 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above.

Interview Procedure

Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or is the customary method­ology. In most economies the fieldwork is completed in two to four weeks. 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 by means of the Kish grid. In economies where cultural restrictions dictate gender matching, respondents are randomly selected through the Kish grid from among all eligible adults of the interviewer’s gender.

In economies where telephone interviewing is em­ployed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of re­spondents is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to reach a person in each house­hold, spread over different days and times of day.

Data Preparation

Data weighting is used to ensure a nationally rep­resentative sample for each economy. Final weights consist of the base sampling weight, which corrects for unequal probability of selection based on house­hold size, and the poststratification weight, which corrects for sampling and nonresponse error. Poststratification weights use economy-level population statistics on gender and age and, where reliable data are available, education or socioeconomic status.

The margin of error is calculated around a proportion at the 95 percent confidence level. The maximum margin of error was calculated assuming a reported percentage of 50 percent and takes into account the design effect. Margin of error calculation: √(0.25/N)*1.96*√(DE). Other errors that can affect survey validity include measurement error associated with the questionnaire, such as translation issues, and coverage error, where a part of the target population has a zero probability of being selected for the survey.

The data collection period, number of interviews, approximate design effect, and margin of error, as well as sampling details for each economy, is available here.

Additional information about the methodology used in the Gallup World Poll can be found at

The reference citation for the 2014 Global Findex data is Asli Demirguc-Kunt, Leora Klapper, Dorothe Singer, and Peter Van Oudheusden, “The Global Findex Database 2014: Measuring Financial Inclusion around the World”. Policy Research Working Paper 7255.


                                                Download Full Report | Access Data

The Global Findex Questionnaire

Our Global Findex questionnaire was translated into 142 languages to ensure national representation in more than 140 economies around the world. We encourage policymakers, international donors, researchers, and financial service providers to use these questions to collect additional demand-side data on financial inclusion in their countries. We hope to promote the harmonization of Financial Inclusion indicators to increase comparability of these measures across countries and over time. For example policymakers might consider adding these questions to population censuses and Living Standards Measurement Studies.

Provided below are links to our complete 2014 Global Findex questionnaire in English and translated into 7 selected languages. Please contact us if you use our questionnaire or to receive a translation of the questionnaire in any other language.

The reference citation for the 2014 Global Findex data is Asli Demirguc-Kunt, Leora Klapper, Dorothe Singer, and Peter Van Oudheusden, “The Global Findex Database 2014: Measuring Financial Inclusion around the World”. Policy Research Working Paper 7255. 

Choose your language:


Arabic – Tunisia Chinese – China   French – Côte d’Ivoire
Hindi – India Portuguese – Brazil Spanish – Mexico Russian – Russian Federation


                                                Download Full Report | Access Data