This map is designed to work in the new ArcGIS Online Map Viewer. Open in Map Viewer to view map. What does this map show?This map shows the population in the US by race. The map shows this pattern nationwide for states, counties, and tracts. Open the map in the new ArcGIS Online Map Viewer Beta to see the dot density pattern. What is dot density?The density is visualized by randomly placing one dot per a given value for the desired attribute. Unlike choropleth visualizations, dot density can be mapped using total counts since the size of the polygon plays a significant role in the perceived density of the attribute.Where is the data from?The data in this map comes from the most current American Community Survey (ACS) from the U.S. Census Bureau. Table B03002. The layer being used if updated with the most current data each year when the Census releases new estimates. The layer can be found in ArcGIS Living Atlas of the World: ACS Race and Hispanic Origin Variables - Boundaries.What questions does this map answer?Where do people of different races live?Do people of a similar race live close to people of their own race?Which cities have a diverse range of different races? Less diverse?

This dot map shows three kinds of urban transitions. First, there are indeed areas where changes take place at very precise boundaries — such as between Lawndale and the Little Village, or Austin and Oak Park — and Chicago has more of these stark borders than most cities in the world. But transitions also take place through gradients and gaps as well, especially in the northwest and southeast. Using graphic conventions which allow these other possibilities to appear takes much more data, and requires more nuance in the way we talk about urban geography, but a cartography without boundaries can also make simplistic policy or urban design more difficult — in a good way.

Explore various maps to learn more about the population in the US based on how people respond to the American Community Survey (ACS). Based on how people responded, we can learn more about where different race and ethnicity groups live throughout the country. The pattern for each map portrays the most current 5-year ACS estimates, and is offered for states, counties, and tracts. Zoom and explore the map to see the patterns in your area.In this collection, you'll find various different topics:The predominant race in each area (which one has the largest count)Race by dot densityPeople of color (non-white population)Percent of the population by each raceWhere is the data from?The data in this map comes from the most current American Community Survey (ACS) from the U.S. Census Bureau. Table B03002. The layer being used if updated with the most current data each year when the Census releases new estimates. The layer can be found in ArcGIS Living Atlas of the World: ACS Race and Hispanic Origin Variables - Boundaries.

This ethnicity dataset (GREG) is a digital version of the paper Soviet Narodov Mira atlas created in 1964. In 2010 the GREG (Geo-referencing of ethnic groups) project, used maps and data drawn from the Narodov Mira atlas to create a GIS (Geographic Information Systems) version of the atlas (2010). ETH ZurichFirst developed by G.P. Murdock in the 1940s, is an ethnographic classification system on human behavior, social life and customs, material culture, and human-ecological environments (2003). University of California

In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.

According to the 2021 Census, London was the most ethnically diverse region in England and Wales – 63.2% of residents identified with an ethnic minority group.

The world's population first reached one billion people in 1805, and reached eight billion in 2022, and will peak at almost 10.2 billion by the end of the century. Although it took thousands of years to reach one billion people, it did so at the beginning of a phenomenon known as the demographic transition; from this point onwards, population growth has skyrocketed, and since the 1960s the population has increased by one billion people every 12 to 15 years. The demographic transition sees a sharp drop in mortality due to factors such as vaccination, sanitation, and improved food supply; the population boom that follows is due to increased survival rates among children and higher life expectancy among the general population; and fertility then drops in response to this population growth. Regional differences The demographic transition is a global phenomenon, but it has taken place at different times across the world. The industrialized countries of Europe and North America were the first to go through this process, followed by some states in the Western Pacific. Latin America's population then began growing at the turn of the 20th century, but the most significant period of global population growth occurred as Asia progressed in the late-1900s. As of the early 21st century, almost two-thirds of the world's population lives in Asia, although this is set to change significantly in the coming decades. Future growth The growth of Africa's population, particularly in Sub-Saharan Africa, will have the largest impact on global demographics in this century. From 2000 to 2100, it is expected that Africa's population will have increased by a factor of almost five. It overtook Europe in size in the late 1990s, and overtook the Americas a few years later. In contrast to Africa, Europe's population is now in decline, as birth rates are consistently below death rates in many countries, especially in the south and east, resulting in natural population decline. Similarly, the population of the Americas and Asia are expected to go into decline in the second half of this century, and only Oceania's population will still be growing alongside Africa. By 2100, the world's population will have over three billion more than today, with the vast majority of this concentrated in Africa. Demographers predict that climate change is exacerbating many of the challenges that currently hinder progress in Africa, such as political and food instability; if Africa's transition is prolonged, then it may result in further population growth that would place a strain on the region's resources, however, curbing this growth earlier would alleviate some of the pressure created by climate change.

MotoGP Race Schedule and Circuit Locations

Official Test and Race Locations for MotoGP

By Anang Shaleh Bakti [source]

About this dataset

Kaggle’s MotoGP Schedule dataset provides insight into the thrilling world of motorsport racing. This data includes all the official tests and races of MotoGP , along with their respective dates, circuit names, and locations. With this data in hand, you have the opportunity to explore and develop a deeper understanding of how one of the world’s fastest motorsports are conducted. You can analyze which teams or racers have been most successful throughout its history as well as make predictions on who will be victorious in upcoming races. An exciting intersection between motorsports and data science await you! Let your imagination come alive with Kaggle's MotoGP Schedule dataset!

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How to use the dataset

This dataset contains the date, event name, and circuit name of the official tests and races of MotoGP 2018. This data can be used for a variety of purposes, including but not limited to:

• Analyzing what type of race tracks were in use during the season
• Comparing event dates from different countries across the world
• Seeing which events take place at a given time of year
• Tracking attendance at specific events throughout the year

• Using geographic coordinates to visualize motorcades on an interactive map or globe

  To get started with this dataset, begin by exploring each column individually; check out any general trends or patterns that you may find in any particular field/column or across multiple fields/columns. Are there any issues with data accuracy (i.e., some locations might be incorrect)? Also consider what other data sources could help you learn more about each venue (such as pictures and videos!). From there, start digging deeper into correlations between variables—for example, how does one location’s attendance compare to another’s? Can you identify any possible drivers for higher attendance? Finally, don’t forget about additional external information related to MotoGP such as reviews from journalists and lessons learned from fans attending certain events!

Research Ideas

• Analysis of performance trends for a particular rider in various conditions at different tracks
• Visualization of MotoGP tests and races to view the number and distribution of events throughout the year
• Results prediction models which consider track specific factors such as weather and terrain

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

Unknown License - Please check the dataset description for more information.

Columns

File: Calendar_2018_geopoint.csv | Column name | Description | |:-----------------|:----------------------------------| | Nama_Event | Name of the event. (String) | | Nama_Sirkuit | Name of the circuit. (String) | | Lat | Latitude of the circuit. (Float) | | Long | Longitude of the circuit. (Float) |

File: dataminer_jadwalmotogp_2018.csv | Column name | Description | |:-----------------|:------------------------------| | Nama_Event | Name of the event. (String) | | Nama_Sirkuit | Name of the circuit. (String) | | Bulan | Month of the event. (String) | | Tanggal | Date of the event. (String) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Anang Shaleh Bakti.

US Age-Standardized Stroke Mortality Rates (2013-15) by State/County/Gender/Race

Investigating Variations in Rates

By US Open Data Portal, data.gov [source]

About this dataset

This dataset contains the age-standardized stroke mortality rate in the United States from 2013 to 2015, by state/territory, county, gender and race/ethnicity. The data source is the highly respected National Vital Statistics System. The rates are reported as a 3-year average and have been age-standardized. Moreover, county rates are spatially smoothed for further accuracy. The interactive map of heart disease and stroke produced by this dataset provides invaluable information about the geographic disparities in stroke mortality across America at different scales - county, state/territory and national. By using the adjustable filter settings provided in this interactive map, you can quickly explore demographic details such as gender (Male/Female) or race/ethnicity (e.g Non-Hispanic White). Conquer your fear of unknown with evidence! Investigate these locations now to inform meaningful action plans for greater public health resilience in America and find out if strokes remain a threat to our millions of citizens every day! Updated regularly since 2020-02-26, so check it out now!

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How to use the dataset

The US Age-Standardized Stroke Mortality Rates (2013-2015) by State/County/Gender/Race dataset provides valuable insights into stroke mortality rates among adults ages 35 and over in the USA between 2013 and 2015. This dataset contains age-standardized data from the National Vital Statistics System at the state, county, gender, and race level. Use this guide to learn how best use this dataset for your purposes!

Understand the Data

This dataset provides information about stroke mortality rates among adult Americans aged 35+. The data is collected from 2013 to 2015 in three year averages. Even though it is possible to view county level data, spatial smoothing techniques have been applied here. The following columns of data are provided: - Year – The year of the data collection - LocationAbbr – The abbreviation of location where the data was collected
- LocationDesc – A description of this location
- GeographicLevel – Geographic level of granularity where these numbers are recorded * DataSource - source of these statistics * Class - class or group into which these stats fall * Topic - overall topic on which we have stats * Data_Value - age standardized value associated with each row * Data_Value_Unit - units associated with each value * Stratification1– First stratification defined for a given row * Stratification2– Second stratification defined for a given row

Additionally, several other footnotes fields such as ‘Data_value_Type’; ‘Data_Value_Footnote _Symbol’; ‘StratificationCategory1’ & ‘StratificatoinCategory2’ etc may be present accordingly .  

## Exploring Correlations

Now that you understand what individual columns mean it should take no time to analyze correlations within different categories using standard statistical methods like linear regressions or boxplots etc. If you want to compare different regions , then you can use LocationAbbr column with locations reduced geographical levels such as State or Region. Alternatively if one wants comparisons across genders then they can refer column labelled Stratifacation1 alongwith their desired values within this

Research Ideas

• Creating a visualization to show the relationship between stroke mortality and specific variations in race/ethnicity, gender, and geography.
• Comparing two or more states based on their average stroke mortality rate over time.
• Building a predictive model that disregards temporal biases to anticipate further changes in stroke mortality for certain communities or entire states across the US

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

Unknown License - Please check the dataset description for more information.

Columns

File: csv-1.csv | Column name | Description | |:--...

Global and regional incidence, prevalence and YLDs of PCOS.

Nigeria has hundreds of ethnic groups that are usually divided and defined primarily by language. The country hosts more ethnic groups than any other African nation, ranking among the most ethnically-complex states in the world. Most of these ethnic groups are small and localized, with only a few playing a central role in Nigerian society. The major people groups of Nigeria are: Hausa, Fulani, Yoruba, and Igbo (Ibo).The advent of colonial rule in Nigeria brought the various ethnic groups increasingly into contact with one another. This integrative process was facilitated by the construction of connective infrastructure. This increasing development set in motion a process that led to greater contact and competition among the various ethnic groups for dominance and economic advantage. The Nigerian government has worked out tentative power-sharing arrangements to help ensure that its many ethnic groups have some say in society. However, cities remain largely segregated along ethno-religious lines and confrontation between ethnic groups is common. Often, ethnic clashes in one part of the country can set off a chain of reprisal riots and attacks in other parts of the country.Most major ethnic groups have seen the formation of ethnic-exclusive militias to protect alleged group interests and perpetrate violence against other ethnic groups. These vigilante groups continue to act with impunity for lack of stringent law enforcement in much of the state. These continued attacks and tensions among ethnic groups threaten to destabilize an already unsteady country.Hausa - Northern Nigeria is dominated by this ethnic group and is often considered unified with the Fulani through intermarriage of acculturation, generating the Hausa-Fulani as a single ethnic entity. The Hausa were predominately traders throughout the Sahara and Sahel regions but have become more concentrated in rural areas as farmers and herders. They are predominately Muslim with some of the smaller sub-groups such as the Maguzawa practicing indigenous faiths. Their religion is a key component to ethnic identity and continues to shape their role in modern Nigerian society and politics. The Hausa and Fulani were instrumental in establishing and maintaining Sharia in 11 of the country’s northern states.Fulani –The Fulani are an ethnic group of Muslims located in northern Nigeria that have often assimilated into the Hausa culture. At one point nomadic herders, they arrived in the Hausa states sometime in the early 13th century. Many have intermarried with the Hausa and have mostly adopted those customs and language, although some Fulani choose to stay "pure" by retaining a nomadic lifestyle, their own language, and cultural autonomy. The Fulani are most distinctively known for a dispute that developed between them and the local King of Gobir, which developed into a jihad ending with a Fulani conquest of the Hausa states in the early 1800s.Yoruba – The Yoruba are Christian/Muslims living in southwestern Nigeria united by their common belief that Ife is their place of origin and the Oni of Ife is their spiritual leader. Their mythology holds that "Oduduwa" created the earth and that royal houses of the Yoruba kingdoms can trace their ancestry back to "Oduduwa.” Yoruba society is organized into kingdoms, the greatest of which was called Oyo. The Oyo Empire collapsed in 1830, when Afonja, broke away from the rest of the Yoruba culture and lost his empire to the Fulani. This event occurred in close temporal proximity to the Fulani Jihad, but was not associated with it. As Islam and Christianity spread to Yorubaland over the past few centuries, the group embraced both faiths alongside its many traditional and animist beliefs. This blend and acceptance of religion survives in modern society and has mitigated some religious conflict in places where Yoruba form the majority.Igbo (Ibo) – The Igbo are the main ethnic group living in southeastern Nigeria. They have represented some of the staunchest opponents to the establishment of Sharia in the North where some minority Igbo populations exist. As opposed to Hausa-Fulani and Yoruba cultures, the Igbo were traditionally decentralized and non-hierarchical, making them more receptive to European conversion efforts.Under British colonial rule, many Igbo served in government and military roles and were later key players in the 1960 Nigerian independence movement. In January 1966, Igbo leader General Ironsi established a military coup in Nigeria to try and unify a fragmented, newly-independent Nigeria. The northern section of the country believed there was an Igbo conspiracy with the establishment of the new government. In July 1966, a counter-attack was staged by northern military officers in response to the constitution of another new government. Chaos ensued and about 50,000 Igbo were killed in northern Nigeria. To put an end to chaos and upheaval, groups in eastern Nigeria declared themselves as an independent sovereign state known as “Biafra" on 30 May 1967. The Igbo secessionist movement in Biafra led to a 30-month war (Biafran War) with the Nigerian government, in which hundreds of thousands of Igbo starved to death. After the war, Igbo were reintegrated into Nigerian society, but in a more marginalized role. Despite lingering ethnic tension, they now play an important part in southeastern Nigeria's oil trade.

ISO3 - International Organization for Standardization 3-digit country code

PEOPLEGP_1 - People group level one

PEOPLEGP_2 - People group level two

PEOPLEGP_3 - People group level three

ALT_NAME - Alternate names or spellings for people groups

SOURCE_DT - Primary source creation date

SOURCE - Primary source

Collection

This shapefile created by using Anthromapper consists of ethnic layers that have been primarily based on the 1959 Murdock map of Africa with an addition of the Anaang people group based on a general location provided by Ethnologue. Geographical terrain features, combined with a watershed model, were also used to predict the likely extent of ethnic and linguistic influence. The HGIS data and metadata were supplemented with anthropological information from peer-reviewed journals and published books. The interpretation of ethnic names often produces multiple spellings of the same people groups; therefore similarly spelled or phonetic titles may be referencing the same group.

The data included herein have not been derived from a registered survey and should be considered approximate unless otherwise defined. While rigorous steps have been taken to ensure the quality of each dataset, DigitalGlobe Analytics is not responsible for the accuracy and completeness of data compiled from outside sources.

Sources (HGIS)

Anthromapper. DigitalGlobe Analytics, March 2013.

Murdock, George Peter. Tribal Map of Africa from Africa: Its Peoples and Their Culture History. New York: McGraw-Hill Book Co., January 1959.

Interactive Murdock Map available at - http://worldmap.harvard.edu/africamap.

Ethnologue, “Anaang.” Last modified April 2013. Accessed April 2013. http://www.ethnologue.com

People Groups, “Nigeria.” Last modified April 2013. Accessed April 2013. http://peoplegroups.org.

Joshua Project, “Nigeria”. Last modified March 2013. Accessed April 2013. http://www.joshuaproject.net.

Sources (Metadata)

Walker, Andrew. United States Institute of Peace, "What is Boko Haram?." Last modified 2012. Accessed April 9, 2013. http://www.usip.org.

Buhayar, Noah. PBS, "Oil and Politics in Nigeria." Last modified 2007. Accessed April 8, 2013. www.pbs.org.

Bascom, William. Urbanization Among the Yoruba. Culture and Societies of Africa. Edited by Simon and Phoebe Ottenberg. New York: Random House, 1960.

Greenberg, Joseph H. Some Aspects of Negro-Mohammedan Culture Contact Among the Hausa. Culture and Societies of Africa. Edited by Simon and Phoebe Ottenberg. New York: Random House, 1960.

Levinson, David. Ethnic Groups Worldwide: A Ready Reference Handbook. Santa Barbara: Greenwood, 1998.

Ehwarieme, William. "Between the Devil and the Deep Blue Sea: The Displacement of Ethnicity by Corruption in Nigeria's Electoral Politics." Journal of Third World Studies. 26. no. 2 (2011): 181-206.

Paden, John. Religion and Political Culture in Kano. University of California Press: Berkeley and Los Angeles, 1973.

Suberu, Rotimi. Federalism and Ethnic Conflict in Nigeria. Washington D.C.: United States Institute of Peace, 2001.

Joshua Project, “Nigeria”. Last modified April 2013. Accessed April 2013. http://www.joshuaproject.net.

This map serves the U.S. Air Quality: Recent PM2.5 Conditions dashboard.This map uses Esri's global Recent Conditions in Air Quality feature layer. However, the data is filtered for Particulate Matter 2.5 readings in the United States only. According to Esri's Recent Conditions in Air Quality feature later:"The source information is the OpenAQ community which reports measured concentrations (µg/m³) and particle matter count (particles/cm³) on a global scale by aggregating station data from national networks of air quality.The Recent Conditions in Air Quality layer is updated every hour using the Aggregated Live Feed (ALF) methodology. It shows the latest mass concentrations and particulate count for [PM 2.5] of the stations in the OpenAQ data set with at least one value reported in the past 30 days."The map in this dashboard also uses the ACS Race and Hispanic Origin Variables - Boundaries feature layer.

This map compares two different rates of child poverty:The percent of all children who live below the poverty lineThe percent of Black children who live below the poverty lineThe higher rate between the two is shown by the associated color. The size of the symbol shows the count of all children living in poverty. The pattern is shown by US counties.The data comes from County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. The layer used in the map comes from ArcGIS Living Atlas of the World, and the full documentation for the layer can be found here. To explore other child poverty patterns, visit the following maps:Black Children in Poverty in the USWhich race has the highest rate of child poverty?

Do Black households make as much as the "typical" household in their county? This map shows that this doesn't seem to be the case. This map compares the median household income of households with Black householders compared to the median household income of that county. If the Black households in a county make as much as a "typical" household in their county, the county is shown in turquoise. If Black households in a county make less than the median income of their county, it is shown in orange. The size of the symbol highlights where there are the highest counts of black population in the US.The data comes from County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. The layer used in the map comes from ArcGIS Living Atlas of the World, and the full documentation for the layer can be found here.

Engine Map Switch Market Outlook

According to our latest research, the global engine map switch market size reached USD 1.21 billion in 2024, reflecting robust demand across automotive and motorsport applications. The market is poised to expand at a CAGR of 6.3% from 2025 to 2033, with the forecasted value expected to reach USD 2.10 billion by 2033. This growth is primarily driven by the increasing integration of advanced vehicle electronics, rising consumer demand for customizable driving experiences, and stringent emission regulations that necessitate adaptive engine performance solutions.

One of the principal growth factors for the engine map switch market is the automotive industry’s ongoing shift toward intelligent vehicle systems. Modern vehicles, particularly in the performance and premium segments, are increasingly equipped with engine map switches that allow drivers to alter engine parameters such as throttle response, fuel injection, and ignition timing. This customization enhances driving dynamics and efficiency, making engine map switches a sought-after feature. Additionally, the proliferation of electronic control units (ECUs) and the adoption of drive-by-wire technology have facilitated the seamless integration of engine map switches into vehicle architectures, further boosting market penetration.

Another significant driver is the surge in motorsport and off-road vehicle activities globally. Engine map switches are indispensable in competitive racing, where real-time adjustments to engine performance can mean the difference between winning and losing. Motorsport teams and off-road enthusiasts rely on these switches to optimize engine output for varying track conditions, weather, and terrain. The growing popularity of grassroots motorsports, coupled with increasing manufacturer participation in racing events, is fueling demand for high-performance and reliable engine map switch solutions. This trend is expected to persist as motorsport culture expands in emerging markets.

Environmental regulations and the push for fuel efficiency are also shaping the engine map switch market. With governments worldwide tightening emission norms, automakers are leveraging engine map switches to enable eco-friendly driving modes that reduce fuel consumption and emissions. These switches provide flexibility, allowing vehicles to switch between performance and economy modes as needed. Furthermore, the rise of hybrid and electric powertrains, which often incorporate multiple drive modes, is creating new opportunities for engine map switch manufacturers to innovate and diversify their offerings.

From a regional perspective, Asia Pacific dominates the engine map switch market, driven by the sheer scale of its automotive manufacturing sector and the rapid adoption of advanced vehicle technologies in countries like China, Japan, and South Korea. North America and Europe follow closely, supported by strong motorsport traditions, high consumer awareness, and a mature aftermarket ecosystem. Meanwhile, the Middle East & Africa and Latin America are emerging as promising markets, thanks to growing vehicle sales and increased investments in automotive infrastructure. This global landscape underscores the widespread adoption and future potential of engine map switches across diverse automotive segments.

Product Type Analysis

The engine map switch market is segmented by product type into rotary switches, push button switches, toggle switches, and others. Rotary switches currently command a significant share due to their intuitive operation and tactile feedback, which are highly valued in both automotive and motorsport environments. These switches allow for quick and precise selection of multiple engine maps, making them ideal for performance vehicles and racing applications. The durability and reliability of rotary switches, often built to withstand harsh conditions, further contribute to their popularity among manufacturers and end-users alike.