Total current population for UAE in 2025 is 9,665,319, a 0.77% increase from 2024.

<ul style='margin-top:20px;'>

<li>Total population for UAE in 2024 was <strong>9,591,853</strong>, a <strong>8.51% decline</strong> from 2023.</li>
<li>Total population for UAE in 2023 was <strong>10,483,751</strong>, a <strong>4.06% increase</strong> from 2022.</li>
<li>Total population for UAE in 2022 was <strong>10,074,977</strong>, a <strong>5.22% increase</strong> from 2021.</li>
</ul>Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.

The statistic shows the total population of the United Arab Emirates (UAE) from 2020 to 2030. In 2023, approximately 10.68 million inhabitants lived in the UAE. Population of the United Arab Emirates The United Arab Emirates (UAE) have undergone extreme demographic changes over the past decade. With the increasing developments, tourism and global recognition of cities in the UAE like Abu Dhabi and Dubai, it is to no surprise that the total population has grown by about 6 million people over the past decade. However, the majority of the total population of the UAE are expatriates. Any expatriate having lived in the UAE for a minimum of 20 years can apply for a citizenship, consequently, the growing total population is mainly due to the growing number of expatriates who become citizens and the high number of immigrants which gives the UAE the world’s highest net migration rate. This becomes evident when looking at the fertility rate, the average rate of children born per fertile woman in a year in the UAE, which has been steadily declining over the last decade. Life expectancy, however, has been increasing steadily over the same time span. It is interesting to note that, despite this increase, total population of the UAE consists mainly of people between the ages of 15 to 64, another fact pointing towards expatriates and immigrants contributing to the increasing numbers.

The statistic shows the demographic structure of the population in the Abu Dhabi emirate as of mid 2016, broken down by age group and citizenship. In that year, there was approximately 86,000 foreigners between the ages of 15 and 19 years. According to estimates, the total population of Abu Dhabi in at this time was about 2.9 million, with 2.4 million foreigners and 550,000 local Abu Dhabi citizens.

Chart and table of population level and growth rate for the Dubai, UAE metro area from 1950 to 2025.

Chart and table of population level and growth rate for the Abu Dhabi, UAE metro area from 1950 to 2025.

The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.

The ethnic composition of the population of a country contributes to the uniqueness of each national DNA sequencing project and, ideally, individual reference genomes are required to reduce the confounding nature of ethnic bias. This work represents a representative Whole Genome Sequencing effort of an understudied population. Specifically, high coverage consensus sequences from 120 whole genomes and 33 whole exomes were used to construct the first ever population specific major allele reference genome for the United Arab Emirates (UAE). When this was applied and compared to the archetype hg19 reference, assembly of local Emirati genomes was reduced by ∼19% (i.e., some 1 million fewer calls). In compiling the United Arab Emirates Reference Genome (UAERG), sets of annotated 23,038,090 short (novel: 1,790,171) and 137,713 structural (novel: 8,462) variants; their allele frequencies (AFs) and distribution across the genome were identified. Population-specific genetic characteristics including loss-of-function variants, admixture, and ancestral haplogroup distribution were identified and reported here. We also detect a strong correlation between FST and admixture components in the UAE. This baseline study was conceived to establish a high-quality reference genome and a genetic variations resource to enable the development of regional population specific initiatives and thus inform the application of population studies and precision medicine in the UAE.

United Arab Emirates (UAE) Vegetable and Fruit Market size was valued at USD 427.33 Million in 2024 and is expected to reach USD 612.38 Million by 2032, growing at a CAGR of 4.60% from 2026-2032.

United Arab Emirates (UAE) Vegetable and Fruit Market Drivers

High Dependence on Imports: Due to the UAE's arid climate, limited arable land, and water scarcity, the country heavily relies on imports to meet its demand for fresh fruits and vegetables. This makes it a significant market for global exporters.

Strong Purchasing Power and High Disposable Income: The UAE has a high per capita income, leading to strong consumer spending on food, including high-quality and diverse fruits and vegetables. This allows for the importation of a wide variety of produce from around the world.

Food Security Initiatives: The UAE government prioritizes food security and has launched the National Food Security Strategy 2051. This strategy aims to enhance local food production through modern technologies, diversify import sources, and establish international partnerships. While focused on increasing domestic output, it also ensures a stable supply through imports.

Increasing Health Consciousness: A growing segment of the UAE population is becoming more health-conscious, leading to increased demand for fresh, organic, and nutritious food products, including fruits and vegetables.

Diverse Expatriate Population: The UAE has a large and diverse expatriate population with varied culinary preferences, driving demand for a wide range of fruits and vegetables to cater to different cultural and dietary needs.

Growth of the Tourism and Hospitality Sector: The thriving tourism and hospitality industries create a significant demand for consistent supplies of high-quality fruits and vegetables for hotels, restaurants, and catering services.

This statistic illustrates the distribution of adult population in the United Arab Emirates in 2019 by wealth range group. That year, approximately **** percent of adults in the United Arab Emirates had wealth of 10,000 to 100,000 U.S. dollars.

This statistic shows the degree of urbanization in the Mashriq countries in 2023. The Mashriq, also Mashreq, is the region encompassing the eastern part of the Arab World, comprising the countries Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Oman, Palestine, Qatar, Saudi Arabia, Sudan, Syria, United Arab Emirates, and Yemen. Urbanization is defined as the share of urban population in the total population. In 2023, 92.02 percent of the total population of Jordan lived in urban areas.

This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes:
- macroregion (admin-1 including region)
- region (admin-2 including state, province, department, governorate)
- macrocounty (admin-3 including arrondissement)
- county (admin-4 including prefecture, sub-prefecture, regency, canton, commune)
- localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb)

The dataset also contains human settlement points and polygons for:
- localities (city, town, and village)
- neighbourhoods (borough, macrohood, neighbourhood, microhood)

The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names.

Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

In general, foreign direct investments (FDIs) play a crucial role in driving a country’s economic development, promoting diversification, and enhancing competitiveness. The Gulf Cooperation Council (GCC) countries, which heavily rely on the oil and gas sectors, are particularly vulnerable to fluctuations in commodity prices. However, these countries have recognized the imperative of economic diversification and have increasingly turned to inward FDIs to achieve it. By attracting capital, advanced technology, and expertise from foreign investors, FDIs enable the GCC countries to expand their economic base beyond the oil and gas sectors. This diversification not only creates employment opportunities but also fosters resilient economic growth, ultimately leading to an improvement in the living standards of the local population. This study investigates the macroeconomic and environmental factors that potentially attract foreign direct investment (FDI) inflows into the Gulf Cooperation Council (GCC) countries in the long run. Additionally, the study explores the causal relationship between these factors and FDI inflows. The panel autoregressive distributed lag (ARDL) approach to co-integration is the primary analytical technique used, utilizing long time-series data from six GCC countries, including Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates (UAE) during the period 1990–2019. The empirical results indicate that, in the long run, almost all independent variables significantly influence FDI in GCC countries. Variables such as GDP growth (GDPG), inflation (INFL), carbon dioxide emissions (CO2), and urbanization (URB) are found to be highly significant (p≤0.01) in their impact on FDI. Moreover, unemployment (UNEMP) also positively and significantly influences FDI in these countries in the long run. Based on the key findings, strategies aimed at reducing persistently high unemployment rates, maintaining population growth, viewing FDI as a driver for GDP growth, and continuing with infrastructure development and urbanization are expected to attract more FDI inflows into GCC countries in the long run. Additionally, fostering both long-term economic incentives and creating a conducive business infrastructure for investors are vital for attracting inward FDI into any nation, including those in the GCC. This research would benefit various stakeholders, including governments, local businesses, investors, academia, and the local society, by providing valuable knowledge and informing decision-making processes related to economic development, diversification, and investment promotion.

The United Arab Emirates (UAE) dental clinic industry is experiencing robust growth, projected to reach a market size of $207.71 million in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 5.54% from 2019 to 2033. This expansion is fueled by several key drivers. A rising prevalence of dental diseases, coupled with increasing awareness of oral hygiene and the importance of preventative care, is driving demand for dental services. Furthermore, the UAE's robust healthcare infrastructure, a growing population with increased disposable income, and the influx of medical tourism contribute significantly to market expansion. The preference for advanced dental treatments and technologies, like dental implants and laser dentistry, further boosts market value. This trend is reflected in the market segmentation, with General and Diagnostic Equipment, including dental implants and crowns, holding a significant share. The presence of established international players like 3M and Dentsply Sirona, alongside local providers, ensures a competitive landscape that fosters innovation and accessibility. However, factors such as high treatment costs and potential insurance coverage limitations could pose some restraints to market growth. Nevertheless, the overall outlook for the UAE dental clinic industry remains positive, with continued expansion anticipated throughout the forecast period. The strategic focus on preventative care and advancements in dental technology are expected to shape future market dynamics, creating opportunities for both established and emerging players. The growth in specific segments like orthodontic and prosthodontic treatments reflects the increasing demand for advanced cosmetic and restorative procedures. The end-user segment dominated by hospitals and clinics indicates the crucial role of established healthcare facilities in driving market growth. However, the emerging trend of smaller, specialized dental clinics is also expected to contribute to the sector's expansion. The continuous development of innovative dental biomaterials and consumables further adds to the dynamic growth prospects. The competitive landscape, while dominated by multinational corporations, also features a healthy number of local providers catering to the specific needs of the UAE population. This dynamic mix ensures both quality and affordability in the dental care market. Future growth hinges on addressing challenges related to cost and access, ensuring the industry’s continued prosperity and accessibility for all residents. Recent developments include: October 2022: The Organising Committee for the UAE International Dental Conference and Arab Dental Exhibition (AEEDC Dubai) launched the "AEEDC Plus" initiative during the 17th edition of the Makkah International Dental Conference and Exhibition 'Makkah Dental.' The aim of this initiative was to establish and strengthen strategic partnerships, as well as build a long-term framework to leverage dental practices in UAE., August 2022: Emirates Health Services (EHS) launched free dental services through primary health centers for Emiratis and GCC elderly citizens. The new clinic for people of determination and senior citizens is equipped with modern equipment and devices that meet internationally approved specifications and standards.. Key drivers for this market are: Increasing Awareness on Oral Care, Increasing Incidences of Dental Diseases; Innovation in Dental Products. Potential restraints include: Increasing Awareness on Oral Care, Increasing Incidences of Dental Diseases; Innovation in Dental Products. Notable trends are: The Crown and Bridge is Expected to Witness Significant Growth Over The Forecast Period..

In general, foreign direct investments (FDIs) play a crucial role in driving a country’s economic development, promoting diversification, and enhancing competitiveness. The Gulf Cooperation Council (GCC) countries, which heavily rely on the oil and gas sectors, are particularly vulnerable to fluctuations in commodity prices. However, these countries have recognized the imperative of economic diversification and have increasingly turned to inward FDIs to achieve it. By attracting capital, advanced technology, and expertise from foreign investors, FDIs enable the GCC countries to expand their economic base beyond the oil and gas sectors. This diversification not only creates employment opportunities but also fosters resilient economic growth, ultimately leading to an improvement in the living standards of the local population. This study investigates the macroeconomic and environmental factors that potentially attract foreign direct investment (FDI) inflows into the Gulf Cooperation Council (GCC) countries in the long run. Additionally, the study explores the causal relationship between these factors and FDI inflows. The panel autoregressive distributed lag (ARDL) approach to co-integration is the primary analytical technique used, utilizing long time-series data from six GCC countries, including Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates (UAE) during the period 1990–2019. The empirical results indicate that, in the long run, almost all independent variables significantly influence FDI in GCC countries. Variables such as GDP growth (GDPG), inflation (INFL), carbon dioxide emissions (CO2), and urbanization (URB) are found to be highly significant (p≤0.01) in their impact on FDI. Moreover, unemployment (UNEMP) also positively and significantly influences FDI in these countries in the long run. Based on the key findings, strategies aimed at reducing persistently high unemployment rates, maintaining population growth, viewing FDI as a driver for GDP growth, and continuing with infrastructure development and urbanization are expected to attract more FDI inflows into GCC countries in the long run. Additionally, fostering both long-term economic incentives and creating a conducive business infrastructure for investors are vital for attracting inward FDI into any nation, including those in the GCC. This research would benefit various stakeholders, including governments, local businesses, investors, academia, and the local society, by providing valuable knowledge and informing decision-making processes related to economic development, diversification, and investment promotion.

Abstract

In order to develop various methods of comparable data collection on health and health system responsiveness WHO started a scientific survey study in 2000-2001. This study has used a common survey instrument in nationally representative populations with modular structure for assessing health of indviduals in various domains, health system responsiveness, household health care expenditures, and additional modules in other areas such as adult mortality and health state valuations.

The health module of the survey instrument was based on selected domains of the International Classification of Functioning, Disability and Health (ICF) and was developed after a rigorous scientific review of various existing assessment instruments. The responsiveness module has been the result of ongoing work over the last 2 years that has involved international consultations with experts and key informants and has been informed by the scientific literature and pilot studies.

Questions on household expenditure and proportionate expenditure on health have been borrowed from existing surveys. The survey instrument has been developed in multiple languages using cognitive interviews and cultural applicability tests, stringent psychometric tests for reliability (i.e. test-retest reliability to demonstrate the stability of application) and most importantly, utilizing novel psychometric techniques for cross-population comparability.

The study was carried out in 61 countries completing 71 surveys because two different modes were intentionally used for comparison purposes in 10 countries. Surveys were conducted in different modes of in- person household 90 minute interviews in 14 countries; brief face-to-face interviews in 27 countries and computerized telephone interviews in 2 countries; and postal surveys in 28 countries. All samples were selected from nationally representative sampling frames with a known probability so as to make estimates based on general population parameters.

The survey study tested novel techniques to control the reporting bias between different groups of people in different cultures or demographic groups ( i.e. differential item functioning) so as to produce comparable estimates across cultures and groups. To achieve comparability, the selfreports of individuals of their own health were calibrated against well-known performance tests (i.e. self-report vision was measured against standard Snellen's visual acuity test) or against short descriptions in vignettes that marked known anchor points of difficulty (e.g. people with different levels of mobility such as a paraplegic person or an athlete who runs 4 km each day) so as to adjust the responses for comparability . The same method was also used for self-reports of individuals assessing responsiveness of their health systems where vignettes on different responsiveness domains describing different levels of responsiveness were used to calibrate the individual responses.

This data are useful in their own right to standardize indicators for different domains of health (such as cognition, mobility, self care, affect, usual activities, pain, social participation, etc.) but also provide a better measurement basis for assessing health of the populations in a comparable manner. The data from the surveys can be fed into composite measures such as "Healthy Life Expectancy" and improve the empirical data input for health information systems in different regions of the world. Data from the surveys were also useful to improve the measurement of the responsiveness of different health systems to the legitimate expectations of the population.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was a multi-stage random probability sample representative of the population residing in the U.A.E. The sample structure was based on the estimated population structure from the UAE Census data of 1995. The estimates for various categories that are excluded from the sample were compiled using information from the UAE census. The categories of workers excluded from the sample and from projected population estimates include: • Domestic helpers, servants, drivers etc., which are principally of Asian ethnic origin. • Building watchmen, usually consisting of Egyptians, Sudanese, as well as some Pakistanis and Indians. • Laborers in camps, or on sites such as construction workers, and service workers in facilities such as public transport, airport cleaning services, hospital cleaning services, etc. They are predominantly men, the majority of whom are of a low literacy level, and mostly unskilled.

The sampling system design employed in all the Emirates was an advanced sample design method. The survey did not cover any irregular, casual or provisional shacks or shelters. Interviews were conducted with people living only within legal households.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

Data Coding At each site the data was coded by investigators to indicate the respondent status and the selection of the modules for each respondent within the survey design. After the interview was edited by the supervisor and considered adequate it was entered locally.

Data Entry Program A data entry program was developed in WHO specifically for the survey study and provided to the sites. It was developed using a database program called the I-Shell (short for Interview Shell), a tool designed for easy development of computerized questionnaires and data entry (34). This program allows for easy data cleaning and processing.

The data entry program checked for inconsistencies and validated the entries in each field by checking for valid response categories and range checks. For example, the program didn’t accept an age greater than 120. For almost all of the variables there existed a range or a list of possible values that the program checked for.

In addition, the data was entered twice to capture other data entry errors. The data entry program was able to warn the user whenever a value that did not match the first entry was entered at the second data entry. In this case the program asked the user to resolve the conflict by choosing either the 1st or the 2nd data entry value to be able to continue. After the second data entry was completed successfully, the data entry program placed a mark in the database in order to enable the checking of whether this process had been completed for each and every case.

Data Transfer The data entry program was capable of exporting the data that was entered into one compressed database file which could be easily sent to WHO using email attachments or a file transfer program onto a secure server no matter how many cases were in the file. The sites were allowed the use of as many computers and as many data entry personnel as they wanted. Each computer used for this purpose produced one file and they were merged once they were delivered to WHO with the help of other programs that were built for automating the process. The sites sent the data periodically as they collected it enabling the checking procedures and preliminary analyses in the early stages of the data collection.

Data quality checks Once the data was received it was analyzed for missing information, invalid responses and representativeness. Inconsistencies were also noted and reported back to sites.

Data Cleaning and Feedback After receipt of cleaned data from sites, another program was run to check for missing information, incorrect information (e.g. wrong use of center codes), duplicated data, etc. The output of this program was fed back to sites regularly. Mainly, this consisted of cases with duplicate IDs, duplicate cases (where the data for two respondents with different IDs were identical), wrong country codes, missing age, sex, education and some other important variables.

Abstract

Different countries have different health outcomes that are in part due to the way respective health systems perform. Regardless of the type of health system, individuals will have health and non-health expectations in terms of how the institution responds to their needs. In many countries, however, health systems do not perform effectively and this is in part due to lack of information on health system performance, and on the different service providers.

The aim of the WHO World Health Survey is to provide empirical data to the national health information systems so that there is a better monitoring of health of the people, responsiveness of health systems and measurement of health-related parameters.

The overall aims of the survey is to examine the way populations report their health, understand how people value health states, measure the performance of health systems in relation to responsiveness and gather information on modes and extents of payment for health encounters through a nationally representative population based community survey. In addition, it addresses various areas such as health care expenditures, adult mortality, birth history, various risk factors, assessment of main chronic health conditions and the coverage of health interventions, in specific additional modules.

The objectives of the survey programme are to: 1. develop a means of providing valid, reliable and comparable information, at low cost, to supplement the information provided by routine health information systems. 2. build the evidence base necessary for policy-makers to monitor if health systems are achieving the desired goals, and to assess if additional investment in health is achieving the desired outcomes. 3. provide policy-makers with the evidence they need to adjust their policies, strategies and programmes as necessary.

Geographic coverage

The survey sampling frame must cover 100% of the country's eligible population, meaning that the entire national territory must be included. This does not mean that every province or territory need be represented in the survey sample but, rather, that all must have a chance (known probability) of being included in the survey sample.

There may be exceptional circumstances that preclude 100% national coverage. Certain areas in certain countries may be impossible to include due to reasons such as accessibility or conflict. All such exceptions must be discussed with WHO sampling experts. If any region must be excluded, it must constitute a coherent area, such as a particular province or region. For example if ¾ of region D in country X is not accessible due to war, the entire region D will be excluded from analysis.

Analysis unit

Households and individuals

Universe

The WHS will include all male and female adults (18 years of age and older) who are not out of the country during the survey period. It should be noted that this includes the population who may be institutionalized for health reasons at the time of the survey: all persons who would have fit the definition of household member at the time of their institutionalisation are included in the eligible population.

If the randomly selected individual is institutionalized short-term (e.g. a 3-day stay at a hospital) the interviewer must return to the household when the individual will have come back to interview him/her. If the randomly selected individual is institutionalized long term (e.g. has been in a nursing home the last 8 years), the interviewer must travel to that institution to interview him/her.

The target population includes any adult, male or female age 18 or over living in private households. Populations in group quarters, on military reservations, or in other non-household living arrangements will not be eligible for the study. People who are in an institution due to a health condition (such as a hospital, hospice, nursing home, home for the aged, etc.) at the time of the visit to the household are interviewed either in the institution or upon their return to their household if this is within a period of two weeks from the first visit to the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING GUIDELINES FOR WHS

Surveys in the WHS program must employ a probability sampling design. This means that every single individual in the sampling frame has a known and non-zero chance of being selected into the survey sample. While a Single Stage Random Sample is ideal if feasible, it is recognized that most sites will carry out Multi-stage Cluster Sampling.

The WHS sampling frame should cover 100% of the eligible population in the surveyed country. This means that every eligible person in the country has a chance of being included in the survey sample. It also means that particular ethnic groups or geographical areas may not be excluded from the sampling frame.

The sample size of the WHS in each country is 5000 persons (exceptions considered on a by-country basis). An adequate number of persons must be drawn from the sampling frame to account for an estimated amount of non-response (refusal to participate, empty houses etc.). The highest estimate of potential non-response and empty households should be used to ensure that the desired sample size is reached at the end of the survey period. This is very important because if, at the end of data collection, the required sample size of 5000 has not been reached additional persons must be selected randomly into the survey sample from the sampling frame. This is both costly and technically complicated (if this situation is to occur, consult WHO sampling experts for assistance), and best avoided by proper planning before data collection begins.

All steps of sampling, including justification for stratification, cluster sizes, probabilities of selection, weights at each stage of selection, and the computer program used for randomization must be communicated to WHO

STRATIFICATION

Stratification is the process by which the population is divided into subgroups. Sampling will then be conducted separately in each subgroup. Strata or subgroups are chosen because evidence is available that they are related to the outcome (e.g. health, responsiveness, mortality, coverage etc.). The strata chosen will vary by country and reflect local conditions. Some examples of factors that can be stratified on are geography (e.g. North, Central, South), level of urbanization (e.g. urban, rural), socio-economic zones, provinces (especially if health administration is primarily under the jurisdiction of provincial authorities), or presence of health facility in area. Strata to be used must be identified by each country and the reasons for selection explicitly justified.

Stratification is strongly recommended at the first stage of sampling. Once the strata have been chosen and justified, all stages of selection will be conducted separately in each stratum. We recommend stratifying on 3-5 factors. It is optimum to have half as many strata (note the difference between stratifying variables, which may be such variables as gender, socio-economic status, province/region etc. and strata, which are the combination of variable categories, for example Male, High socio-economic status, Xingtao Province would be a stratum).

Strata should be as homogenous as possible within and as heterogeneous as possible between. This means that strata should be formulated in such a way that individuals belonging to a stratum should be as similar to each other with respect to key variables as possible and as different as possible from individuals belonging to a different stratum. This maximises the efficiency of stratification in reducing sampling variance.

MULTI-STAGE CLUSTER SELECTION

A cluster is a naturally occurring unit or grouping within the population (e.g. enumeration areas, cities, universities, provinces, hospitals etc.); it is a unit for which the administrative level has clear, nonoverlapping boundaries. Cluster sampling is useful because it avoids having to compile exhaustive lists of every single person in the population. Clusters should be as heterogeneous as possible within and as homogenous as possible between (note that this is the opposite criterion as that for strata). Clusters should be as small as possible (i.e. large administrative units such as Provinces or States are not good clusters) but not so small as to be homogenous.

In cluster sampling, a number of clusters are randomly selected from a list of clusters. Then, either all members of the chosen cluster or a random selection from among them are included in the sample. Multistage sampling is an extension of cluster sampling where a hierarchy of clusters are chosen going from larger to smaller.

In order to carry out multi-stage sampling, one needs to know only the population sizes of the sampling units. For the smallest sampling unit above the elementary unit however, a complete list of all elementary units (households) is needed; in order to be able to randomly select among all households in the TSU, a list of all those households is required. This information may be available from the most recent population census. If the last census was >3 years ago or the information furnished by it was of poor quality or unreliable, the survey staff will have the task of enumerating all households in the smallest randomly selected sampling unit. It is very important to budget for this step if it is necessary and ensure that all households are properly enumerated in order that a representative sample is obtained.

It is always best to have as many clusters in the PSU as possible. The reason for this is that the fewer the number of respondents in each PSU, the lower will be the clustering effect which

The statistic shows the trade balance of goods (exports minus imports of goods) in the Mashriq countries in 2023. The Mashriq, also Mashreq, is the region encompassing the eastern part of the Arab World, comprising the countries Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Oman, Palestine, Qatar, Saudi Arabia, Sudan, Syria, United Arab Emirates, and Yemen. A positive value means a trade surplus, a negative trade balance means a trade deficit. In 2023, the trade surplus of goods in Saudi Arabia amounted to about 113.08 billion U.S. dollars.

The UAE Aquaculture Market size was valued at USD 21.82 Million in 2023 and is projected to reach USD 30.91 Million by 2032, exhibiting a CAGR of 5.10 % during the forecast periods. This growth is primarily driven by factors such as:Government initiatives to promote sustainable seafood productionRising food security concerns amidst a growing populationTechnological advancements in aquaculture techniquesBenefits of hybrid seeds in enhancing yield and disease resistanceMajor players in the market include Prime Aquaculture FZE, Emirates National Aquaculture LLC, and Marine Farm Ltd. The UAE aquaculture market is rapidly evolving, driven by the need for sustainable seafood production to meet the demands of a growing population. Key features include advanced recirculating aquaculture systems (RAS), integrated multi-trophic aquaculture (IMTA), and offshore aquaculture. Applications span commercial fish farming, ornamental fish production, and research. Types of aquaculture practiced include mariculture, freshwater aquaculture, and brackish water aquaculture. Technological advancements, such as automated feeding systems and water quality monitoring, enhance productivity and sustainability. The market's impact includes reduced dependency on seafood imports, job creation, and environmental benefits through sustainable practices. Advantages include increased food security, economic diversification, and support for local fisheries Recent developments include: July 2022: The UAE Ministry of Climate Change and Environment partnered with Abu Dhabi National Oil company and Emirates National Oil company to provide subsidies to the fisherman to cope with the increasing cost and to boost the fisheries sector., March 2022: A project to build a new recirculating aquaculture system in Abu Dhabi was undertaken by a group of businesses. The project aims to supply 2,000 metric tons of premium quality, locally-grown Atlantic salmon in the country. The new technology is expected to enable the re-use of over 99.5% of the process water, almost eliminating resource wastage., February 2022: Prime Aquaculture FZE, Emirates National Aquaculture LLC Subsidiary, is building the region's first shrimp recirculating aquaculture system(RAS) in Jafza, and the project is expected to be finished by Q1 2023. It is expected to cater to the increasing regional demand and the National Food Security Strategy 2051.. Key drivers for this market are: Rising Consumption of Cashew Nuts in the Country, Favorable Government Initiatives. Potential restraints include: Hazardous Climatic Condition Hinders Cashew Production, Stringent Regulations Related to Food Quality Standards. Notable trends are: Growing Demand for Fish and Seafood Products.

The resident population in the UAE is predominantly comprised of expats. Reflecting this, expats also constitute a noteworthy 75.6% of the local HNW population – which has considerable implications when it comes to investors’ product and service demand. With strong demand for all planning services, being able to offer a holistic service proposition is a must in the UAE. Emirati HNW individuals typically come from either an entrepreneurial background or have sourced their wealth through earned income. The leading generator of wealth is oil, gas, and mining followed by property and real estate. Read More

In general, foreign direct investments (FDIs) play a crucial role in driving a country’s economic development, promoting diversification, and enhancing competitiveness. The Gulf Cooperation Council (GCC) countries, which heavily rely on the oil and gas sectors, are particularly vulnerable to fluctuations in commodity prices. However, these countries have recognized the imperative of economic diversification and have increasingly turned to inward FDIs to achieve it. By attracting capital, advanced technology, and expertise from foreign investors, FDIs enable the GCC countries to expand their economic base beyond the oil and gas sectors. This diversification not only creates employment opportunities but also fosters resilient economic growth, ultimately leading to an improvement in the living standards of the local population. This study investigates the macroeconomic and environmental factors that potentially attract foreign direct investment (FDI) inflows into the Gulf Cooperation Council (GCC) countries in the long run. Additionally, the study explores the causal relationship between these factors and FDI inflows. The panel autoregressive distributed lag (ARDL) approach to co-integration is the primary analytical technique used, utilizing long time-series data from six GCC countries, including Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates (UAE) during the period 1990–2019. The empirical results indicate that, in the long run, almost all independent variables significantly influence FDI in GCC countries. Variables such as GDP growth (GDPG), inflation (INFL), carbon dioxide emissions (CO2), and urbanization (URB) are found to be highly significant (p≤0.01) in their impact on FDI. Moreover, unemployment (UNEMP) also positively and significantly influences FDI in these countries in the long run. Based on the key findings, strategies aimed at reducing persistently high unemployment rates, maintaining population growth, viewing FDI as a driver for GDP growth, and continuing with infrastructure development and urbanization are expected to attract more FDI inflows into GCC countries in the long run. Additionally, fostering both long-term economic incentives and creating a conducive business infrastructure for investors are vital for attracting inward FDI into any nation, including those in the GCC. This research would benefit various stakeholders, including governments, local businesses, investors, academia, and the local society, by providing valuable knowledge and informing decision-making processes related to economic development, diversification, and investment promotion.