United Arab Emirates AE: Population: as % of Total: Female: Aged 15-64 data was reported at 73.941 % in 2017. This records an increase from the previous number of 73.775 % for 2016. United Arab Emirates AE: Population: as % of Total: Female: Aged 15-64 data is updated yearly, averaging 54.297 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 73.941 % in 2017 and a record low of 51.471 % in 1960. United Arab Emirates AE: Population: as % of Total: Female: Aged 15-64 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: Population and Urbanization Statistics. Female population between the ages 15 to 64 as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

Time series data for the statistic Vulnerable employment, female (% of female employment) (modeled ILO estimate) and country United Arab Emirates. Indicator Definition:Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.The indicator "Vulnerable employment, female (% of female employment) (modeled ILO estimate)" stands at 2.04 as of 12/31/2023. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -10.47 percent compared to the value the year prior.The 1 year change in percent is -10.47.The 3 year change in percent is 9.51.The 5 year change in percent is -6.16.The 10 year change in percent is 719.06.The Serie's long term average value is 0.57. It's latest available value, on 12/31/2023, is 258.29 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1991, to it's latest available value, on 12/31/2023, is +1,451.70%.The Serie's change in percent from it's maximum value, on 12/31/2019, to it's latest available value, on 12/31/2023, is -39.65%.

Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for United Arab Emirates, R2025A version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square.

More information can be found in the Release Statement

Please note that these data represent 2025 Alpha release versions, constructed in September 2025

File Descriptions:

{iso} {gender} {age group} {year} {type} {resolution}.tif

iso

Three-letter country code

gender

m = male, f= female, t = both genders

age group

• 00 = age group 0 to 12 months
• 01 = age group 1 to 4 years
• 05 = age group 5 to 9 years
• 90 = age 90 years and over

year

Year that the population represents

type

CN = Constrained

resolution

Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

Introduction

The Middle Eastern Children Facial Image Dataset is a thoughtfully curated collection designed to support the development of advanced facial recognition systems, biometric identity verification, age estimation tools, and child-specific AI models. This dataset enables researchers and developers to build highly accurate, inclusive, and ethically sourced AI solutions for real-world applications.

Facial Image Data

The dataset includes over 1000 high-resolution image sets of children under the age of 18. Each participant contributes approximately 15 unique facial images, captured to reflect natural variations in appearance and context.

Diversity and Representation

Quality and Image Conditions

To ensure robust model training and generalizability, images are captured under varied natural conditions:

Metadata

Each child’s image set is paired with detailed, structured metadata, enabling granular control and filtering during model training:

This metadata is essential for applications that require demographic awareness, such as region-specific facial recognition or bias mitigation in AI models.

Applications

This dataset is ideal for a wide range of computer vision use cases, including:

Ethical Collection and Data Security

We maintain the highest ethical and security standards throughout the data lifecycle:

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.

A description of the modelling methods used for age and gender structures can be found in "https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-11-11" target="_blank"> Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/gender structure proportion datasets here.
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.
Data for earlier dates is available directly from WorldPop.

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646

United Arab Emirates AE: Labour Force: Female: % of Total Labour Force data was reported at 12.388 % in 2017. This records an increase from the previous number of 12.180 % for 2016. United Arab Emirates AE: Labour Force: Female: % of Total Labour Force data is updated yearly, averaging 11.849 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 12.457 % in 2003 and a record low of 11.126 % in 1990. United Arab Emirates AE: Labour Force: Female: % of Total Labour Force 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: Labour Force. Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period.; ; Derived using data from International Labour Organization, ILOSTAT database and World Bank population estimates. Labor data retrieved in November 2017.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections.

United Arab Emirates AE: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data was reported at 44.478 % in 2017. This records a decrease from the previous number of 44.571 % for 2016. United Arab Emirates AE: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data is updated yearly, averaging 39.203 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 46.175 % in 2009 and a record low of 32.375 % in 1990. United Arab Emirates AE: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to 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: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.; ; Derived using data from International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

United Arab Emirates AE: Employment To Population Ratio: National Estimate: Aged 15-24: Female data was reported at 28.915 % in 2017. United Arab Emirates AE: Employment To Population Ratio: National Estimate: Aged 15-24: Female data is updated yearly, averaging 28.915 % from Dec 2017 (Median) to 2017, with 1 observations. United Arab Emirates AE: Employment To Population Ratio: National Estimate: Aged 15-24: Female 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: Employment and Unemployment. Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

United Arab Emirates AE: Labour Force Participation Rate: Modeled ILO Estimate: Female: % of Female Population Aged 15-64 data was reported at 41.606 % in 2017. This records a decrease from the previous number of 41.920 % for 2016. United Arab Emirates AE: Labour Force Participation Rate: Modeled ILO Estimate: Female: % of Female Population Aged 15-64 data is updated yearly, averaging 36.406 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 43.424 % in 2010 and a record low of 29.972 % in 1990. United Arab Emirates AE: Labour Force Participation Rate: Modeled ILO Estimate: Female: % of Female Population Aged 15-64 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: Labour Force. Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

United Arab Emirates AE: Unemployment: Modeled ILO Estimate: Female: % of Female Labour Force data was reported at 4.594 % in 2017. This records a decrease from the previous number of 4.598 % for 2016. United Arab Emirates AE: Unemployment: Modeled ILO Estimate: Female: % of Female Labour Force data is updated yearly, averaging 4.649 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 15.210 % in 2008 and a record low of 2.359 % in 1995. United Arab Emirates AE: Unemployment: Modeled ILO Estimate: Female: % of Female Labour Force 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: Employment and Unemployment. Unemployment refers to the share of the labor force that is without work but available for and seeking employment.; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.