United Arab Emirates AE: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider, Richest 60%: % of Population Aged 15+ data was reported at 91.680 % in 2017. This records an increase from the previous number of 88.017 % for 2014. United Arab Emirates AE: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider, Richest 60%: % of Population Aged 15+ data is updated yearly, averaging 88.017 % from Dec 2011 to 2017, with 3 observations. The data reached an all-time high of 91.680 % in 2017 and a record low of 64.511 % in 2011. United Arab Emirates AE: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider, Richest 60%: % of Population Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Bank Account Ownership. Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (richest 60%, share of population ages 15+).; ; Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

The United Arab Emirates is ranked 16 among 190 economies in the ease of doing business, according to the latest World Bank annual ratings. The rank of the United Arab Emirates deteriorated to 16 in 2019 from 11 in 2018. This dataset includes a chart with historical data for Ease of Doing Business in the United Arab Emirates.

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

National coverage

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Observation data/ratings [obs]

Sampling procedure

The indicators in the 2017 Global Findex database are drawn from survey data covering almost 150,000 people in 144 economies-representing more than 97 percent of the world's population (see Table A.1 of the Global Findex Database 2017 Report for a list of the economies included). The survey was carried out over the 2017 calendar year by Gallup, Inc., as part of its Gallup World Poll, which since 2005 has annually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 150 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 where this 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. Each eligible household member is listed and the handheld 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 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 household enumeration method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample includes only Emirati nationals, Arab expatriates, and non-Arabs who were able to participate in the survey in Arabic or English. Sample size was 1003.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in more than 140 languages upon request.

Questions on cash on delivery, saving using an informal savings club or person outside the family, domestic remittances, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

Sampling error estimates

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, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank

Graph and download economic data for Ratio of Female to Male Tertiary School Enrollment for the United Arab Emirates (SEENRTERTFMZSARE) from 2018 to 2024 about enrolled, United Arab Emirates, ratio, tertiary schooling, females, males, and education.

United Arab Emirates AE: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Poorest 40%: % of Population Aged 15+ data was reported at 82.990 % in 2017. This records an increase from the previous number of 77.693 % for 2014. United Arab Emirates AE: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Poorest 40%: % of Population Aged 15+ data is updated yearly, averaging 77.693 % from Dec 2011 (Median) to 2017, with 3 observations. The data reached an all-time high of 82.990 % in 2017 and a record low of 52.898 % in 2011. United Arab Emirates AE: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Poorest 40%: % of Population Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Bank Account Ownership. Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (poorest 40%, share of population ages 15+).; ; Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

United Arab Emirates Poverty Headcount Ratio at Societal Poverty Lines: % of Population data was reported at 12.100 % in 2018. This records a decrease from the previous number of 20.400 % for 2013. United Arab Emirates Poverty Headcount Ratio at Societal Poverty Lines: % of Population data is updated yearly, averaging 16.250 % from Dec 2013 (Median) to 2018, with 2 observations. The data reached an all-time high of 20.400 % in 2013 and a record low of 12.100 % in 2018. United Arab Emirates Poverty Headcount Ratio at Societal Poverty Lines: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Social: Poverty and Inequality. The poverty headcount ratio at societal poverty line is the percentage of a population living in poverty according to the World Bank's Societal Poverty Line. The Societal Poverty Line is expressed in purchasing power adjusted 2017 U.S. dollars and defined as max($2.15, $1.15 + 0.5*Median). This means that when the national median is sufficiently low, the Societal Poverty line is equivalent to the extreme poverty line, $2.15. For countries with a sufficiently high national median, the Societal Poverty Line grows as countries’ median income grows.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

United Arab Emirates AE: Persistence to Last Grade of Primary: % of Cohort data was reported at 91.959 % in 2012. This records an increase from the previous number of 84.446 % for 2010. United Arab Emirates AE: Persistence to Last Grade of Primary: % of Cohort data is updated yearly, averaging 91.573 % from Dec 1973 (Median) to 2012, with 30 observations. The data reached an all-time high of 97.939 % in 2005 and a record low of 68.625 % in 1973. United Arab Emirates AE: Persistence to Last Grade of Primary: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank: Education Statistics. Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

United Arab Emirates AE: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.661 NA in 2020. This records a decrease from the previous number of 0.668 NA for 2018. United Arab Emirates AE: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.661 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.668 NA in 2018 and a record low of 0.597 NA in 2010. United Arab Emirates AE: Human Capital Index (HCI): Male: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498.; ;

United Arab Emirates AE: Primary Completion Rate: Total: % of Relevant Age Group data was reported at 105.186 % in 2015. This records an increase from the previous number of 100.742 % for 2014. United Arab Emirates AE: Primary Completion Rate: Total: % of Relevant Age Group data is updated yearly, averaging 80.836 % from Dec 1974 (Median) to 2015, with 37 observations. The data reached an all-time high of 105.186 % in 2015 and a record low of 39.088 % in 1974. United Arab Emirates AE: Primary Completion Rate: Total: % of Relevant Age Group data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank: Education Statistics. Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

United Arab Emirates AE: Adjusted Savings: Consumption of Fixed Capital: % of GNI data was reported at 4.231 % in 2016. This records an increase from the previous number of 4.196 % for 2015. United Arab Emirates AE: Adjusted Savings: Consumption of Fixed Capital: % of GNI data is updated yearly, averaging 7.303 % from Dec 2001 (Median) to 2016, with 16 observations. The data reached an all-time high of 10.764 % in 2009 and a record low of 3.268 % in 2013. United Arab Emirates AE: Adjusted Savings: Consumption of Fixed Capital: % of GNI data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Gross Domestic Product: Nominal. Consumption of fixed capital represents the replacement value of capital used up in the process of production.; ; World Bank staff estimates based on sources and methods described in 'The Changing Wealth of Nations 2018: Building a Sustainable Future' (Lange et al 2018).; Weighted average;

United Arab Emirates AE: GDP: Real: Gross Value Added at Factor Cost data was reported at 1,442,462.671 AED mn in 2018. This records an increase from the previous number of 1,417,983.325 AED mn for 2017. United Arab Emirates AE: GDP: Real: Gross Value Added at Factor Cost data is updated yearly, averaging 1,302,636.137 AED mn from Dec 2010 (Median) to 2018, with 9 observations. The data reached an all-time high of 1,442,462.671 AED mn in 2018 and a record low of 1,064,244.420 AED mn in 2010. United Arab Emirates AE: GDP: Real: Gross Value Added at Factor Cost data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Gross Domestic Product: Real. Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor cost is derived by subtracting net product taxes from GDP. Data are in constant local currency.; ; World Bank national accounts data, and OECD National Accounts data files.; ;

United Arab Emirates AE: Human Capital Index (HCI): Scale 0-1 data was reported at 0.659 NA in 2017. United Arab Emirates AE: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.659 NA from Dec 2017 (Median) to 2017, with 1 observations. United Arab Emirates AE: Human Capital Index (HCI): Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;

United Arab Emirates AE: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.688 NA in 2020. This records a decrease from the previous number of 0.688 NA for 2018. United Arab Emirates AE: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.688 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.688 NA in 2018 and a record low of 0.653 NA in 2010. United Arab Emirates AE: Human Capital Index (HCI): Female: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498.; ;

United Arab Emirates AE: Poverty Headcount Ratio at $2.15 a Day: 2017 PPP: % of Population data was reported at 0.000 % in 2018. This stayed constant from the previous number of 0.000 % for 2013. United Arab Emirates AE: Poverty Headcount Ratio at $2.15 a Day: 2017 PPP: % of Population data is updated yearly, averaging 0.000 % from Dec 2013 (Median) to 2018, with 2 observations. The data reached an all-time high of 0.000 % in 2018 and a record low of 0.000 % in 2018. United Arab Emirates AE: Poverty Headcount Ratio at $2.15 a Day: 2017 PPP: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Social: Poverty and Inequality. Poverty headcount ratio at $2.15 a day is the percentage of the population living on less than $2.15 a day at 2017 purchasing power adjusted prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

United Arab Emirates AE: Children Out of School: Primary data was reported at 11,902.000 Person in 2016. This records a decrease from the previous number of 16,357.000 Person for 2015. United Arab Emirates AE: Children Out of School: Primary data is updated yearly, averaging 26,464.000 Person from Dec 1978 (Median) to 2016, with 29 observations. The data reached an all-time high of 51,971.000 Person in 1998 and a record low of 8,243.000 Person in 1991. United Arab Emirates AE: Children Out of School: Primary data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Education Statistics. Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.; ; UNESCO Institute for Statistics; Sum; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

United Arab Emirates AE: SPI: Pillar 1 Data Use Score: Scale 0-100 data was reported at 100.000 NA in 2019. This stayed constant from the previous number of 100.000 NA for 2018. United Arab Emirates AE: SPI: Pillar 1 Data Use Score: Scale 0-100 data is updated yearly, averaging 40.000 NA from Dec 2004 (Median) to 2019, with 16 observations. The data reached an all-time high of 100.000 NA in 2019 and a record low of 40.000 NA in 2014. United Arab Emirates AE: SPI: Pillar 1 Data Use Score: Scale 0-100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Governance: Policy and Institutions. The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.;Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators);Weighted average;

United Arab Emirates AE: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 9.100 % in 2018. This records a decrease from the previous number of 19.300 % for 2013. United Arab Emirates AE: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 14.200 % from Dec 2013 (Median) to 2018, with 2 observations. The data reached an all-time high of 19.300 % in 2013 and a record low of 9.100 % in 2018. United Arab Emirates AE: Proportion of People Living Below 50 Percent Of Median Income: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

United Arab Emirates AE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.700 NA in 2020. This records a decrease from the previous number of 0.701 NA for 2018. United Arab Emirates AE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.700 NA from Dec 2010 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.701 NA in 2018 and a record low of 0.662 NA in 2010. United Arab Emirates AE: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Human Capital Index. The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in Kraay (2018). http://documents.worldbank.org/curated/en/300071537907028892/Methodology-for-a-World-Bank-Human-Capital-Index; ;

United Arab Emirates AE: Adjusted Savings: Consumption of Fixed Capital data was reported at 14.843 USD bn in 2016. This records a decrease from the previous number of 15.091 USD bn for 2015. United Arab Emirates AE: Adjusted Savings: Consumption of Fixed Capital data is updated yearly, averaging 8.231 USD bn from Dec 1975 (Median) to 2016, with 42 observations. The data reached an all-time high of 30.527 USD bn in 2008 and a record low of 1.018 USD bn in 1975. United Arab Emirates AE: Adjusted Savings: Consumption of Fixed Capital data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Gross Domestic Product: Nominal. Consumption of fixed capital represents the replacement value of capital used up in the process of production.; ; World Bank staff estimates based on sources and methods described in 'The Changing Wealth of Nations 2018: Building a Sustainable Future' (Lange et al 2018).; ;

United Arab Emirates AE: Progression to Secondary School: Male: % data was reported at 100.000 % in 2013. This records an increase from the previous number of 98.102 % for 2012. United Arab Emirates AE: Progression to Secondary School: Male: % data is updated yearly, averaging 98.045 % from Dec 1973 (Median) to 2013, with 33 observations. The data reached an all-time high of 100.000 % in 2013 and a record low of 84.681 % in 1973. United Arab Emirates AE: Progression to Secondary School: Male: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank: Education Statistics. Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).