The average for 2023 based on 16 countries was 122.85 subscribers per 100 people. The highest value was in the United Arab Emirates: 199.42 subscribers per 100 people and the lowest value was in Djibouti: 48.45 subscribers per 100 people. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

This statistic depicts the average share of the population employed by the public sector in the Middle East and North Africa between 2000 and 2010, by country. During that time period, the average share of the population that worked for the public sector in the United Arab Emirates (UAE) was **** percent.

The average for 2021 based on 4 countries was 388.69 bank branches. The highest value was in Saudi Arabia: 1501.22 bank branches and the lowest value was in Kuwait: 13.01 bank branches. The indicator is available from 2004 to 2021. Below is a chart for all countries where data are available.

The results of a survey about the share of Arab youth on which non-Arab country has increased its influence in the Arab world the most over the past five years across Middle East and North Africa (MENA) region in 2020 showed that around ** percent of the respondents were said to believe the United States of America (USA) was the non-Arab country with the most increased influence in the Arab world in the past five years.

The following describes the data files, code and programs used to produce the figures and tables displayed in the manuscript, “What Happens When You Can’t Check the Box? Categorization Threat and Public Opinion among Middle Eastern and North African Americans,” as well as in the supplemental materials. All required packages are included at the start of each script file. Abstract: Middle Eastern and North African (MENA) Americans occupy a paradoxical position: a highly politicized, highly visible group rendered institutionally invisible by the absence of an official ethnoracial category. From 1977 to 2024, the federal government categorized MENA Americans as “White.” Despite this categorization, research shows that they are neither perceived as White nor identify as such, often preferring to self-categorize as “MENA.” Yet many forms—whether issued by governments, universities, or private organizations—rarely include “MENA” as an option. What are the consequences of having one’s identity omitted on political attitudes related to that identity? I argue that denying MENA Americans the ability to self-categorize induces categorization threat, a response well-documented in social psychology but less often connected to politics. Drawing on two survey experiments and in-depth interviews, I show that MENA individuals who cannot self-categorize as “MENA” engage in identity assertion by expressing stronger opinions on MENA-related political issues. This assertion may also generalize to issues tied to broader “People of Color” (POC) identity. Identity categories are not merely bureaucratic formalities; they structure how individuals see themselves and how they respond to politics. By showing that categorization threat shapes political expression among MENA Americans, this article underscores how institutional categories can marginalize groups and affect the validity of the data used to govern them. As identities become increasingly complex and salient, understanding the consequences of category exclusion becomes vital for both empirical research and democratic inclusion.

The average for 2024 based on 17 countries was 9.28 million people. The highest value was in Egypt: 33.75 million people and the lowest value was in Djibouti: 0.27 million people. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

This raster grid provides a representation of the exposure (vulnerability assessment) for climate change impact sector:subsector – People: Water Available for Drinking - in the Middle East and North Africa Region, 1986-2005 reference period. Vulnerability is a concept used to express the complex interaction of climate change effects and the susceptibility of a system to its impacts. In the context of climate change, exposure refers to changes in climate parameters that might affect socio-ecological systems. The integrated vulnerability assessment combines a series of single vulnerability assessments for several water-related climate change impacts on different sectors. It adopts the time periods generally used by the Intergovernmental Panel for Climate Change (IPCC) and other regional climate modelling experiments, and runs climate simulations based on future time periods that are compared with a historical reference period. The raster grid (GeoTiff raster file) is available for 1986-2005 reference period at approximately 1km pixel resolution. Pixel values were classified according to level of exposure, from low 1 to high 10, for the sector:subsector: People: Water Available for Drinking.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Mena, AR, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Mena did not include 6-person households. Across the different household sizes in Mena the mean income is $67,142, and the standard deviation is $22,731. The coefficient of variation (CV) is 33.86%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $38,335. It then further increased to $84,640 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/mena-ar-median-household-income-by-household-size.jpeg" alt="Mena, AR median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Mena median household income. You can refer the same here

Part of the Integrated Vulnerability Assessment in the Arab Region, this 1km pixel resolution raster dataset provides a representation of Adaptive Capacity to climate change for impact sector:subsector – People: Human Health Conditions due to Heat Stress - in the Middle East and North Africa Region. Vulnerability is a concept used to express the complex interaction of climate change effects and the susceptibility of a system to its impacts. The integrated vulnerability assessment methodology is based on an understanding of vulnerability as a function of a system’s climate change exposure, sensitivity and adaptive capacity to cope with climate change effects, consistent with the approach put forward by the Intergovernmental Panel on Climate Change (IPCC) in its Fourth Assessment Report (AR4). Combining exposure, sensitivity and adaptive capacity allows assessing the vulnerability of a system to climate change. The integrated vulnerability assessment combines a series of single vulnerability assessments for several water-related climate change impacts on different sectors. Adaptive capacity Indicators were assumed to retain the same values for the reference period and future periods, and raster grid pixel values were classified according to level of Adaptive Capacity, from low 1 to high 10.

Between 2015 and 2017, the share of undernourished people in countries with conflicts in the Middle East and North Africa was about **** percent, compared to **** percent between 2004 and 2006. Rural transformation and conflict are the main measures of hunger under the sustainable development goals (SDG) indicators.

Part of the Integrated Vulnerability Assessment in the Arab Region, this 1km pixel resolution raster dataset provides a representation of Potential Impact to climate change for impact sector:subsector – People: Employment Rate for the Agricultural Sector - in the Middle East and North Africa Region, 1986-2005 reference period. Vulnerability is a concept used to express the complex interaction of climate change effects and the susceptibility of a system to its impacts. Within climate the vulnerability assessment conceptual framework, Exposure refers to changes in climate parameters that might affect socio-ecological systems, Sensitivity provides information about the status quo of the physical and natural environment that makes the affected systems particularly susceptible, and Potential Impact is determined by combining the exposure and sensitivity of a system. The integrated vulnerability assessment combines a series of single vulnerability assessments for several water-related climate change impacts on different sectors. It adopts the time periods generally used by the Intergovernmental Panel for Climate Change (IPCC) and other regional climate modelling experiments, and runs climate simulations based on future time periods that are compared with a historical reference period. The raster grid (GeoTiff raster file) is available for 1986-2005 reference period, with classified pixel values, from low Potential Impact 1 to high Potential Impact 10.

The average for 2022 based on 18 countries was 37.67 cases per 100,000 people. The highest value was in Djibouti: 237 cases per 100,000 people and the lowest value was in the United Arab Emirates: 0.73 cases per 100,000 people. The indicator is available from 2000 to 2023. Below is a chart for all countries where data are available.

El promedio para 2021 fue de 47.65 por ciento.El valor más alto fue en Irán: 89.62 por ciento y el valor más bajo fue en Iraq: 15.76 por ciento. A continuación se muestra una tabla de todos los países en los que se dispone de datos.

According to a survey on the consumer behavior of football fans in the Middle East and North Africa (MENA) region in 2022, the share of people watching world cup games at a café was the highest, valuing to more than ** percent. However, people watching world cup games at a friend's house was ** percent in that year.

Dataset

This dataset was created by Emmanuel O Adewusi

Contents

BackgroundIt is perceived that little is known about the epidemiology of HIV infection among people who inject drugs (PWID) in the Middle East and North Africa (MENA). The primary objective of this study was to assess the status of the HIV epidemic among PWID in MENA by describing HIV prevalence and incidence. Secondary objectives were to describe the risk behavior environment and the HIV epidemic potential among PWID, and to estimate the prevalence of injecting drug use in MENA.Methods and FindingsThis was a systematic review following the PRISMA guidelines and covering 23 MENA countries. PubMed, Embase, regional and international databases, as well as country-level reports were searched up to December 16, 2013. Primary studies reporting (1) the prevalence/incidence of HIV, other sexually transmitted infections, or hepatitis C virus (HCV) among PWIDs; or (2) the prevalence of injecting or sexual risk behaviors, or HIV knowledge among PWID; or (3) the number/proportion of PWID in MENA countries, were eligible for inclusion. The quality, quantity, and geographic coverage of the data were assessed at country level. Risk of bias in predefined quality domains was described to assess the quality of available HIV prevalence measures. After multiple level screening, 192 eligible reports were included in the review. There were 197 HIV prevalence measures on a total of 58,241 PWID extracted from reports, and an additional 226 HIV prevalence measures extracted from the databases.We estimated that there are 626,000 PWID in MENA (range: 335,000–1,635,000, prevalence of 0.24 per 100 adults). We found evidence of HIV epidemics among PWID in at least one-third of MENA countries, most of which are emerging concentrated epidemics and with HIV prevalence overall in the range of 10%–15%. Some of the epidemics have however already reached considerable levels including some of the highest HIV prevalence among PWID globally (87.1% in Tripoli, Libya). The relatively high prevalence of sharing needles/syringes (18%–28% in the last injection), the low levels of condom use (20%–54% ever condom use), the high levels of having sex with sex workers and of men having sex with men (15%–30% and 2%–10% in the last year, respectively), and of selling sex (5%–29% in the last year), indicate a high injecting and sexual risk environment. The prevalence of HCV (31%–64%) and of sexually transmitted infections suggest high levels of risk behavior indicative of the potential for more and larger HIV epidemics.ConclusionsOur study identified a large volume of HIV-related biological and behavioral data among PWID in the MENA region. The coverage and quality of the data varied between countries. There is robust evidence for HIV epidemics among PWID in multiple countries, most of which have emerged within the last decade and continue to grow. The lack of sufficient evidence in some MENA countries does not preclude the possibility of hidden epidemics among PWID in these settings. With the HIV epidemic among PWID in overall a relatively early phase, there is a window of opportunity for prevention that should not be missed through the provision of comprehensive programs, including scale-up of harm reduction services and expansion of surveillance systems.Please see later in the article for the Editors' Summary

IntroductionDuring the COVID-19 lockdown, people's lifestyles have changed including their habits and physical activities. There has been an increase in anabolic hormones and nutritional supplement use among people who regularly do exercise in the MENA region. This study aims to assess knowledge, practice, and attitude toward the use of anabolic hormones and nutritional supplements among people who regularly exercise in the Middle East and North Africa (MENA) region and to compare their exercise habits and hormones and supplements usage between before and during COVID-19 lockdown.MethodsA self-administrated online Google form survey was carried out between February 2021 and April 2021. Five thousand eight hundred forty-five participants who regularly exercise and aged ≥18 years responded to the questionnaire. The questionnaire was distributed through social media platforms and included five sections: demographic, training characters, knowledge, practice, and attitude.ResultsThe participants mean age was 27.4 ± 8.6 years. Males represented 58.2 % of participants. 75.3% of the study participants had not used either hormones or supplements, and about 19% used supplements only. The mean percent score for knowledge, practice, and attitude were 39.3 ± 30.5, 1.1 ± 9.5, and 21.3 ± 23.8, respectively. Level of knowledge was higher among participants who worked in the medical field or as sports coaches. The practice was higher among male participants. The most commonly used anabolic hormones and nutritional supplements were steroids and proteins with bodybuilding being the most common purpose. Internet was the main source of information and pharmacy was the main source for procuring these substances. There was a significant decrease in proteins, carbohydrates, and sports drinks used during the COVID-19 lockdown compared to before the COVID-19 lockdown, while a statistically significant increase in vitamins used during the COVID-19 lockdown compared to before COVID-19 lockdown.DiscussionIn the MENA region, there has been an increase in the use of anabolic hormones and nutritional supplements. Most of the population has low knowledge of the harmful effect of uncontrolled, uninformed and unmonitored use of these substances Therefore, increasing the awareness level of participants and sports coaches should be a priority to limit the unsupervised use of hormones and supplements.

Sourcing accurate and up-to-date demographic data across Asia and MENA has historically been difficult for retail brands looking to expand their store networks in these regions. Either the data does not exist or it isn't readily accessible or updated regularly.

GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographic datasets across Asia and MENA at 150m x 150m grid levels in major cities and 1km grids outside of major cities.

With this information, brands can get a detailed understanding of who lives in a catchment, where they work and their spending potential which allows you to:

• Better understand your customers
• Identify optimal locations to expand your retail footprint
• Define sales territories for franchisees
• Run targeted marketing campaigns.

Premium demographics data for Asia and MENA includes the latest estimates (updated annually) on:

1. Population (how many people live in your local catchment)
2. Demographics (who lives within your local catchment)
3. Worker population (how many people work within your local catchment)
4. Consuming Class and Premium Consuming Class (who can can afford to buy goods & services beyond their basic needs and /or shop at premium retailers)
5. Retail Spending (Food & Beverage, Grocery, Apparel, Other). How much are consumers spending on retail goods and services by category.

Primary Use Cases for GapMaps Demographic Data:

1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
2. Customer Profiling: get a detailed understanding of the demographic profile of your customers, where they work and their spending potential
3. Analyse your trade areas at a granular 150m x 150m grid levels using all the key metrics
4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
5. Target Marketing: Develop effective marketing strategies to acquire more customers.

6. Integrate GapMaps demographic data with your existing GIS or BI platform to generate powerful visualizations.

7. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

8. Tenant Recruitment

9. Target Marketing

10. Market Potential / Gap Analysis

11. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

12. Customer Profiling

13. Target Marketing

14. Market Share Analysis

Dataset

This dataset was created by Rubén Chuliá Mena

Contents

Sourcing accurate and up-to-date GIS data across Asia and MENA has historically been difficult for retail brands looking to expand their store networks in these regions. Either the data does not exist or it isn't readily accessible or updated regularly.

GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent GIS data across Asia and MENA at 150m x 150m grid levels in major cities and 1km grids outside of major cities.

With this information, brands can get a detailed understanding of who lives in a catchment, where they work and their spending potential which allows you to:

• Better understand your customers
• Identify optimal locations to expand your retail footprint
• Define sales territories for franchisees
• Run targeted marketing campaigns.

GapMaps GIS data for Asia and MENA can be utilized in any GIS platform and includes the latest Demographic estimates (updated annually) including:

1. Population (how many people live in your local catchment)
2. Census Demographics (who lives within your local catchment)
3. Worker population (how many people work within your local catchment)
4. Consuming Class and Premium Consuming Class (who can can afford to buy goods & services beyond their basic needs and /or shop at premium retailers)
5. Retail Spending (Food & Beverage, Grocery, Apparel, Other). How much are consumers spending on retail goods and services by category.

GapMaps GIS Data also includes Point-Of-Interest (POI) Data updated monthly across a range of categories including Fast Food, Cafe, Health & Fitness and Supermarket/ Grocery

Primary Use Cases for GapMaps GIS Data:

1. Retail Site Selection - identify optimal locations for future expansion and benchmark performance across existing locations.
2. Customer Profiling: get a detailed understanding of the demographic profile of your customers, where they work and their spending potential
3. Analyse your trade areas at a granular 150m x 150m grid levels using all the key metrics
4. Target Marketing: Develop effective marketing strategies to acquire more customers.
5. Integrate GapMaps GIS data with your existing GIS or BI platform to generate powerful visualizations.