Millennials were the largest generation group in the United States in 2024, with an estimated population of ***** million. Born between 1981 and 1996, Millennials recently surpassed Baby Boomers as the biggest group, and they will continue to be a major part of the population for many years. The rise of Generation Alpha Generation Alpha is the most recent to have been named, and many group members will not be able to remember a time before smartphones and social media. As of 2024, the oldest Generation Alpha members were still only aging into adolescents. However, the group already makes up around ***** percent of the U.S. population, and they are said to be the most racially and ethnically diverse of all the generation groups. Boomers vs. Millennials The number of Baby Boomers, whose generation was defined by the boom in births following the Second World War, has fallen by around ***** million since 2010. However, they remain the second-largest generation group, and aging Boomers are contributing to steady increases in the median age of the population. Meanwhile, the Millennial generation continues to grow, and one reason for this is the increasing number of young immigrants arriving in the United States.

In 2024, Millennials were the largest generation group in the United States, making up about 21.81 percent of the population. However, Generation Z was not far behind, with Gen Z accounting for around 20.81 percent of the population in that year.

This map layer shows the prevalent generations that make up the population of the United States using multiple scales. As of 2018, the most predominant generations in the U.S. are Baby Boomers (born 1946-1964), Millennials (born 1981-1998), and Generation Z (born 1999-2016). Currently, Millennials are the most predominant population in the U.S.A generation represents a group of people who are born around the same time and experience world events and trends during the same stage of life through similar mediums (for example, online, television, print, or radio). Because of this, people born in the same generation are expected to have been exposed to similar values and developmental experiences, which may cause them to exhibit similar traits or behaviors over their lifetimes. Generations provide scientists and government officials the opportunity to measure public attitudes on important issues by people’s current position in life and document those differences across demographic groups and geographic regions. Generational cohorts also give researchers the ability to understand how different developmental experiences, such as technological, political, economic, and social changes, influence people’s opinions and personalities. Studying people in generational groups is significant because an individual’s age is a conventional predictor for understanding cultural and political gaps within the U.S. population.Though there is no exact equation to determine generational cutoff points, it is understood that we designate generational spans based on a 15- to 20-year gap. The only generational period officially designated by the U.S. Census Bureau is based on the surge of births after World War II in 1946 and a significant decline in birth rates after 1964 (Baby Boomers). From that point, generational gaps have been determined by significant political, economic, and social changes that define one’s formative years (for example, Generation Z is considered to be marked by children who were directly affected by the al Qaeda attacks of September 11, 2001).In this map layer, we visualize six active generations in the U.S., each marked by significant changes in American history:The Greatest Generation (born 1901-1924): Tom Brokaw’s 1998 book, The Greatest Generation, coined the term ‘the Greatest Generation” to describe Americans who lived through the Great Depression and later fought in WWII. This generation had significant job and education opportunities as the war ended and the postwar economic booms impacted America.The Silent Generation (born 1925-1945): The title “Silent Generation” originated from a 1951 essay published in Time magazine that proposed the idea that people born during this period were more cautious than their parents. Conflict from the Cold War and the potential for nuclear war led to widespread levels of discomfort and uncertainty throughout the generation.Baby Boomers (born 1946-1964): Baby Boomers were named after a significant increase in births after World War II. During this 20-year span, life was dramatically different for those born at the beginning of the generation than those born at the tail end of the generation. The first 10 years of Baby Boomers (Baby Boomers I) grew up in an era defined by the civil rights movement and the Vietnam War, in which a lot of this generation either fought in or protested against the war. Baby Boomers I tended to have great economic opportunities and were optimistic about the future of America. In contrast, the last 10 years of Baby Boomers (Baby Boomers II) had fewer job opportunities and available housing than their Boomer I counterparts. The effects of the Vietnam War and the Watergate scandal led a lot of second-wave boomers to lose trust in the American government. Generation X (born 1965-1980): The label “Generation X” comes from Douglas Coupland’s 1991 book, Generation X: Tales for An Accelerated Culture. This generation was notoriously exposed to more hands-off parenting, out-of-home childcare, and higher rates of divorce than other generations. As a result, many Gen X parents today are concerned about avoiding broken homes with their own kids.Millennials (born 1981-1998): During the adolescence of Millennials, America underwent a technological revolution with the emergence of the internet. Because of this, Millennials are generally characterized by older generations to be technologically savvy.Generation Z (born 1999-2016): Generation Z or “Zoomers” represent a generation raised on the internet and social media. Gen Z makes up the most ethnically diverse and largest generation in American history. Like Millennials, Gen Z is recognized by older generations to be very familiar with and/or addicted to technology.Questions to ask when you look at this mapDo you notice any trends with the predominant generations located in big cities? Suburbs? Rural areas?Where do you see big clusters of the same generation living in the same area?Which areas do you see the most diversity in generations?Look on the map for where you, your parents, aunts, uncles, and grandparents live. Do they live in areas where their generation is the most predominant?

In 2023, there were approximately ***** million millennials in the United Kingdom, making it the largest generational cohort at that time. Millennials surpassed the Baby Boomer generation as the largest generation for the first time in 2019. The two youngest generations, Gen Z and Gen Alpha, numbered approximately **** million, and *** million respectively. Gen X are, as of the most recent year, the second-largest generation in the UK at ***** million people, with their parent's generation, the Silent Generation, numbering around *** million people in the same year. There were estimated to be ****** people who belonged to the Greatest Generation, the parents of the Baby Boomer generation, who lived through major events such as the Great Depression and World War Two. Post-War Baby Boom The baby boomer generation was the largest generation for much of this period due to the spike in births that happened after the Second World War. In 1947, for example, there were over *** million live births in the United Kingdom, compared with just ******* live births just thirty years later in 1977. Members of this generation are typically the parents of millennials, and were the driving force behind the countercultural movement of the 1960s, due to their large numbers relative to older generations at the time. The next generational cohort after Boomers are Generation X, born between 1965 and 1980. This generation had fewer members than the Boomer generation for most of its existence, and only became larger than it in 2021. Millennials and Gen Z As of 2022, the most common single year of age in the United Kingdom in 2020 was 34, with approximately ******* people this age. Furthermore, people aged between 30 and 34 were the most numerous age group in this year, at approximately 4.67 million people. As of 2022, people in this age group were Millennials, the large generation who came of age in the late 1990s and early 2000s. Many members of this generation entered the workforce following the 2008 financial crash, and suffered through high levels of unemployment during the early 2010s. The generation that followed Millennials, Generation Z, have also experienced tough socio-economic conditions recently, with key formative years dominated by the COVID-19 pandemic, climate change, and an increasingly unstable geopolitical situation.

In 2023, there were about **** million Millennials estimated to be living in the United States, making them the largest generation group in the country. In comparison, there were ***** million Gen Z and ***** million Gen X estimated to be in the United States in that year.

In 2024, Generation Z represented **** percent of the global population, making them the largest generation group in the world, according to the source. In 2030, Millennials were forecast to represent **** percent of the population worldwide.

As of December 2023, Generation X was the most represented group among the generations in Germany, at almost **** million people. The second-largest group, Generation Y, comprised around ***** million people.

The statistic shows the number of people in the U.S. in 2011 and 2030, by generation. By 2030, the Millennial generation will have 78 million people whereas the Boomer generation will only have 56 million people in the United States.

As of 2021, Millennials and Baby Boomers made up an equal share of the Australian population at around 21.5 percent each, making them the largest generational groups at the time. Those aged 75 years and over made up the smallest portion of the population, followed by Gen Alpha, or those aged 0 to 9 years at the time.

Year: The year the song was released.

Artist: The artist or group who performed the song.

Song: The title of the song.

Genre: The genre of the song.

Lyrics: Excerpts from the lyrics of the song.

Danceability: A measure of how suitable a track is for dancing, based on a combination of musical elements including tempo, rhythm stability, beat strength, and overall regularity.

Energy: A measure of intensity and activity in the song, typically including dynamic range, perceived loudness, timbre, onset rate, and general entropy.

Liveness: A measure of the presence of an audience in the recording. Higher values represent an increased probability that the track was performed live.

Speechiness: A measure of the presence of spoken words in the track. Values above 0.66 describe tracks that are probably entirely spoken words.

Valence: A measure of the musical positiveness of a track, ranging from 0 to 1, with higher values indicating more positive tracks (e.g., happy, cheerful, euphoric), and lower values indicating more negative tracks (e.g., sad, depressed, angry).

This dataset seems to capture a variety of popular songs from the mid-20th century, providing insights into their lyrical content and musical characteristics.

In 2023, Millennials were the largest generational cohort in the United Kingdom, comprising approximately 21.5 percent of the population. Gen X was the next largest generation at 20.6 percent of the population, followed by Baby Boomers at 19.9 percent, and Gen Z on 19.4 percent.

Maxscha/json-instruct-generation-large dataset hosted on Hugging Face and contributed by the HF Datasets community

NFCorpus: 20 generated queries (BEIR Benchmark)

This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.

DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1 id (str): unique document id in NFCorpus in the BEIR benchmark (corpus.jsonl). Questions generated: 20 Code used for generation: evaluate_anserini_docT5query_parallel.py

Below contains the old dataset card for the BEIR benchmark.

  Dataset Card for BEIR… See the full description on the dataset page: https://huggingface.co/datasets/income/arguana-top-20-gen-queries.

NFCorpus: 20 generated queries (BEIR Benchmark)

This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.

DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1 id (str): unique document id in NFCorpus in the BEIR benchmark (corpus.jsonl). Questions generated: 20 Code used for generation: evaluate_anserini_docT5query_parallel.py

Below contains the old dataset card for the BEIR benchmark.

  Dataset Card for BEIR… See the full description on the dataset page: https://huggingface.co/datasets/income/nfcorpus-top-20-gen-queries.

Global Top 10 Power Generation Technologies Market size valued at US$ 1619.36 Min in 2023, & set to reach US$ 2759.19 Mn by 2032, at a CAGR of 6.1%.

In the financial year 2024, 22.36 percent of Target Corporation's merchandise sales corresponded to the food and beverage segment. Meanwhile, household essentials represented 17.47 percent of the total merchandise sales. Merchandise sales represent the vast majority of Target's revenues. The company also has other streams of revenue, including credit card profit-sharing income from their arrangement with the TD Bank Group. Beauty at Target In a 2024 survey among Generation Z in the United States, 10 percent of teenage girls named Target as a shopping destination they visited to buy beauty products. This may not sound high, but it earned Target third place of all shops in the country, ahead of other major retailers Walmart and Amazon. It was, however, a considerable distance behind the two most popular destinations, specialist beauty brands Sephora and Ulta. These findings are reflected in a different study of the same retailers, with Target having the third lowest average age of female beauty consumers, at 44 years old. Gen Z clothing purchases There is also a large Generation Z market available to Target in the clothing category. In 2023, Gen Z consumers voted big box stores, such as Target and Walmart, as the second most popular shopping destination for apparel, with 16 percent of responses. This was only one percentage point behind online stores.

Chile Gross Electricity Generation: Interconnected System: Big North data was reported at 1,717.325 GWh in Dec 2017. This records a decrease from the previous number of 1,762.775 GWh for Nov 2017. Chile Gross Electricity Generation: Interconnected System: Big North data is updated monthly, averaging 1,195.678 GWh from Jan 1999 (Median) to Dec 2017, with 228 observations. The data reached an all-time high of 1,762.775 GWh in Nov 2017 and a record low of 673.500 GWh in Feb 1999. Chile Gross Electricity Generation: Interconnected System: Big North data remains active status in CEIC and is reported by National Commission of Energy. The data is categorized under Global Database’s Chile – Table CL.RB003: Electricity Generation.

This dataset contains complementary data to the paper "A Row Generation Algorithm for Finding Optimal Burning Sequences of Large Graphs" [1], which proposes an exact algorithm for the Graph Burning Problem, an NP-hard optimization problem that models a form of contagion diffusion on social networks.

Concerning the computational experiments discussed in that paper, we make available:

• Four sets of instances;
• The optimal (or best known) solutions obtained;
• The source code;
• An Appendix with additional details about the results.

The "delta" input sets include graphs that are real-world networks [1,2], while the "grid" input set contains graphs that are square grids.

The directories "delta_10K_instances", "delta_100K_instances", "delta_4M_instances" and "grid_instances" contain files that describe the sets of instances. The first two lines of each file contain:

where

NFCorpus: 20 generated queries (BEIR Benchmark)

This HF dataset contains the top-20 synthetic queries generated for each passage in the above BEIR benchmark dataset.

DocT5query model used: BeIR/query-gen-msmarco-t5-base-v1 id (str): unique document id in NFCorpus in the BEIR benchmark (corpus.jsonl). Questions generated: 20 Code used for generation: evaluate_anserini_docT5query_parallel.py

Below contains the old dataset card for the BEIR benchmark.

  Dataset Card for BEIR… See the full description on the dataset page: https://huggingface.co/datasets/income/cqadupstack-gis-top-20-gen-queries.

According to a survey conducted in 2023, Gen Z consumers in the United States have a preference for websites that specialize in beauty products, specifically for researching and purchasing new beauty products. Around ** percent of the polled individuals cited specialty beauty websites, like sephora.com, as the best places to search for and buy their beauty products.