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.

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 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.

2024 $5 Gold Proof Coin Commemorating America's Greatest Generation Box & COA - Sold on eBay June 16th, 2024 for $706.00 (31 bids) - Historical sales data for collectible reference.

This dataset contains the conversation history where OpenAI GPT-4 is asked to generate a hypothetical scenario for the development of a new hypothetical multi-role tactical airlift. The dataset contains all user input and the OpenAI GPT-4 output, including the graphical representations of the ontology. The generated word-file, containing the generated scenario, is stored in a separate dataset: "CHAMP Operational Scenario generated from OpenAI GPT-4"

Document containing conversation log with OpenAI GPT-4 where a hypothetical scenario is generated. The text and images have been manually copied from the OpenAI webpage, and the formating has been recreated to the greatest extent

License: Creative Commons Attribution 4.0 International

The dataset was originally published in DiVA and moved to SND in 2024.

This dataset contains information on life history variation and population dynamics in response to coloured environmental variation in the laboratory model system comprised of the moth Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst). Data were collected from two complementary experiments investigating the effects of daily coloured temperature fluctuations on individual life history variation (single-generation life history experiment) and population dynamics (multi-generation microcosm experiment) in both species. In both experiments, the effects of three types of coloured noise were investigated and compared to constant temperature conditions: blue noise (characterized by rapid (negatively autocorrelated) fluctuations), red noise (characterized by slow (positively autocorrelated) fluctuations) and white noise (characterized by random fluctuations). The life history experiment lasted 56 days and the microcosm experiment lasted 310 days.

Generation Victoria Archival Documentation Project

ASAP (the Australian Science Archives Project) was awarded the contract to undertake the classification and indexing of the records held by the Corporate Unit, Production Technology and the Research and Development Department. The first step in the project was the establishment of classification and indexing protocols in order to effectively process the estimated 2 km of records identified in the initial survey.

Processing ran from February to August 1995. The method used to process such a large quantity of records in such a short period of time involved:

Re-sighting the records identified as being included in the project in the initial walk through in November 1994,
Accessioning these records, to establish physical control and gather information to aid in the classification of the records,
Identifying series groupings and classifying these series according to the agreed protocols,
Inventory Processing the series of records according to the classification protocols,
Arranging for the transfer of records requiring imaging;, and
Developing the contextual information - Series and Provenance.

Classification
In order to deal with the mixture of records, a classification system was devised taking into account the operational, evidential and historical value of the records. Records were appraised at the Series level and allocated to a particular class in order that processing could take place.

Indexing Terms
A set of indexing tersm was defined for use in the processng of the records. These terms were based around a set of 23 Major Terms which identified the major power station, mine and other entities.

Records processed under Generation Victoria Round 2 have been included in the database as they were disaggregated to the Generating Businesses. This also includes details of the location of an item, ie whether it is in the custody of a generating company, service provider or in shared secondary storage.

Generation Victoria Records Project Round 2

Generation Victoria Records Project Round 2 ran from August 1995 to July 1997 and was established to deal with both the information and records needs of the continuing generation operations and the ongoing liabilities of the SECV. The Generation Victoria Records Project Round 2 involved:
-dispersal of records processed under Round 1 of the Generation Victoria Records Project,
-ongoing access and management of records in the custody with ASAP,
;accession, classification, processing and dispersal of remaining records held at Monash House, Melbourne,
-accession, classification, processing and dispersal of remaining records held at various sites in the Latrobe Valley,
-advice and recommendations on the continuing use and access of electronic records,
-closure of the Technical Library, Morwell, Main Drawing Office and the CAD electronic drawing system.

CLASSIFICATION - follow on
The classification system was determined at the outset of the first phase of the project, in consultation with both the members of the Generation Victoria Steering Committee and with those within the various organisation.

Class 1 Records - All records of a technical nature which have ongoing operational value, ie/records vital for the construction, operation and maintenance of power stations and mines; and all records with technical and administrative nature which have ongoing legal value, ie/ relating to processes which may become subject to litigation; which were shared by two or more of the business, are classified as Class 1, retained and treated as permanent records and imaged.

Class 2 Records - All records of a technical nature which have ongoing operational value, ie/records vital for the construction, operation and maintenance of power stations and mines; and all records with technical and administrative nature which have ongoing legal value, ie/ relating to processes which may become subject to litigation; which are relevant to only one of the business units, are classified as Class 2, retained and treated as permanent records.

Class 3 Records - Records that were not required by any of the Generating Companies or SECV Office of the Administrator however have ongoing historical value were classified as Class 3 and transferred to the Public Record Office.

Class 4 Records - All records of a common administrative nature and is not required by any of the Generating Companies or SECV Office of the Administrator were classified as Class 4. Using the Public Record Office General Disposal Schedules and Disposal Schedules for Common Administrative Records, SECV Disposal Schedules and Disposal Schedule developed by ASAP where required, retention dates were set.

Class 5 Records - Records which duplicated records in any other class, or could be destroyed under the provision of Normal Administrative Practice as defined by the Public Record Office and could be disposed of without further authorisation were classified as Class 5.


Location / Ownership
Box Number field is used to record the number of the box in which the item is located or some other code which enables the storage and retrieval of the items. The Generation Victoria Records Project uses an alpha numeric numbering system. The alpha prefix reflects not only the location of the records but also ownership of the records.

Alpha Prefix include the following:
Prefix - Ownership - Location
A - Shared Records (more than one business) - Public Record Office of Victoria
B - Loy Yang B Power Station - Eddison Mission
C - SECV Office of the Administrator - AusDoc Information Management
D - Records Pending Destruction - Hazelwood - Secondary Storage
H - Hazelwood Power Station - Hazelwood Power Corporation
J - Jeeralang Gas Turbine Station - Ecogen
L - Loy Yang A Power Station - Loy Yang Power
M - Morwell Briquette and Power - Energy Brix
N - Newport Power Station - Ecogen
O - Yallourn Power Station - AusDoc Information Management
P - Loy Yang Project - Loy Yang Power
S - Southern Hydro - Vic Hydro
W - Yallourn W Power Station - Yallourn Energy
V - Public Record Office - Public Record Office of Victoria
X - Morwell Mine - Hazelwood Power Corporation
Y - Yallourn Mine - Yallourn Energy
Z - Loy Yang Mine - Loy Yang Power
ENV - Shared Records - Envirogen
GEOEN - Shared Records - GeoEng
HRL - Shared Records - Herman Research Laboratory
SKM - Shared Records - Sinclair Knight and Merz
WBM - Shared Records - WBM


Generation Victoria Records - Collection Statistics

The records cover the date range 1883 - 1996. There are 69,969 inventory database entries including 3,128,346 digitally imaged A4 equivalent pages and a total shelf length of 2316.664 linear metres.

Accessions
There were 404 Accessions.
The Accession identifier range is BPMO97/0001 to WBMM95/0017.

Series
There have been 899 series defined.
The Series identifier range is MELS0001 to MORS0436.

Provenances
There have been 132 creators/custodians defined.
The Provenance identifier range is GVR0001 to GVR0132.

Inventory
There are 69,969 inventory database entries.
The Inventory identifier range is GVRA00001 to SECC07321.
The Inventory Date Range is 1883 to 1996.
There have been 64,852 Inventory entries classified as having on-going value and 5,117 classified as disposable.
The total collection occupies 231,666 linear cm. The collection is housed in 143,403 files, binders or boxes.

Records Processing
Inventory Processing started on this collection on 27/02/1995.
The latest additions were made on 25/10/1999.
The latest modifications were made on 25/10/1999 2:25:43 PM.
This collection profile was updated on 15/12/1999.

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just * percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.

Environmental variation often induces plastic responses in organisms that can trigger changes in subsequent generations through non-genetic inheritance mechanisms. Such transgenerational plasticity thus consists of environmentally-induced non-random phenotypic modifications that are transmitted through generations. Transgenerational effects may vary according to the sex of the organism experiencing the environmental perturbation, the sex of their descendants, or both, but whether they are affected by past sexual selection is unknown. Here we use experimental evolution on an insect model system to conduct a first test of the involvement of sexual selection history in shaping transgenerational plasticity in the face of rapid environmental change (exposure to pesticides). We manipulated evolutionary history in terms of the intensity of sexual selection for over 80 generations before exposing individuals to the toxicant. We found that sexual selection history constrained adaptation under rapid environmental change. We also detected intergenerational and transgenerational effects of pesticide exposure in the form of increased fitness and longevity. These cross-generational influences of toxicants were sex-dependent (they affected only male descendants), and intergenerational, but not transgenerational, plasticity was modulated by sexual selection history. Our results highlight the complexity of intragenerational, intergenerational, and transgenerational influences of past selection and environmental stress on phenotypic expression. Methods We tested, using the seed beetle Callosobruchus maculatus, if divergent regimes of sexual selection (after 84 generations of continued selection) modulate transgenerational plasticity in response to environmental stress (pesticide exposure). The experimental design hence consisted of a 2 x 2 design in which we crossed the two selection regimes (monogamous, henceforth Mono, or polygamous, henceforth Poly) with exposure/lack thereof of non-lethal concentration of pesticide. Before beetles were subjected to environmental stress treatment, the different selection lines underwent two generations of common garden breeding. Common garden breeding was carried out, first by duplicating the number of inoculated beans collected from each line to give rise to the next generation, and then by establishing a spare set of eight populations that were all bred under polygamous conditions for two generations, while maintaining the selection experiment with the original populations. After those two common garden generations, and to obtain focal virgin individuals of known age, we isolated three times as many infested beans as beetles were needed in our pesticide experiment. The isolation procedure was identical to that employed by the selection experiment and consisted of extracting inoculated beans with only one egg on them from the containers 11 days after oviposition, and reallocating them individually in the perforated Eppendorf tubes to ensure the virginity of the adults. This isolation protocol also allowed us to know the exact age of the focal adult beetles since adult emergences from the bean were checked daily. Five virgin males and five virgin females were randomly selected within each of the eight selection lines that underwent common garden breeding as the focal individuals to be allocated to each of the pesticide exposure levels (exposed and control) in our experiment to non-lethal concentrations of the pesticide deltamethrin (COMBO Deltamethrin 2.5% w/v, Sarabia). Pesticide application was restricted to these beetles (the parental generation, F0), but subsequent effects were tracked over three generations (F0, F1, F2). Thus, 160 virgin beetles of C. maculatus (80 females and 80 males), with different evolutionary histories regarding sexual selection regimes (Mono, Poly), were exposed to different levels of previously tested non-lethal concentrations of the pesticide, inside a flow cabinet for 24 h, at 23 ± 1 °C, 12:12 L:D and 35% RH. Two different pesticide treatments were given: 1) control treatment (C), without pesticide, exposed to distilled water; 2) pesticide treatment, 2 g/L deltamethrin in aqueous solution (P). In short, the exposure was done randomly assigning 5 individuals from each sex from each of the eight lines (4 Mono and 4 Poly) to each treatment, having a total sample size of 160 parental exposed beetles in our experiment. Individuals at the moment of pesticide/control exposure were between 1 and 4 days old. For the pesticide exposure, the ends of cotton swabs were impregnated with 30 uL of the pesticide or water and put individually into 2 mL opened Eppendorf tubes, which would be filled with the evaporation of the pesticide solution shortly after closing the tubes and throughout most of the 24 h of exposure. Next, beetles were introduced to a second perforated Eppendorf tube with the bottom removed and stacked onto the first tube, with a mesh barrier between them, keeping the cotton swab in the lower compartment and avoiding direct contact of the beetles with the pesticide. After the exposure phase, beetles were individually allocated to 26 mL perforated plastic containers with ad libitum beans (around 60 beans per vial) to be used as an oviposition substrate. After the exposure phase, and until death, beetles were kept in walk-in climate chambers (Fitoclima 10000 EHF, Aralab) at a constant 29 °C temperature with 40% humidity and a 12 h/12 h light/dark cycle, which are the conditions at which all animals from the experimental evolution program had been cultured since the start of the selection experiment. Each individual shared the recipient with a non-exposed tester mate (male or female), all sourced from a standardized heterozygote tester line that was generated by crossing two near-isogenic lines that had been generated following 15 generations of full-sib mating (all individuals used in the generation of the near-isogenic lines were drawn from the stock population, i.e., they were individuals from outside the selection experiment). Mating and oviposition were allowed for 48 hours. Afterwards, focal males were individually reallocated to Eppendorf tubes to track their longevity, whereas mated females (focal females that were mated to tester males, or tester females who were mated to focal males) were kept in their container to determine longevity, fecundity, and lifetime reproductive success for each of them. We recorded life-history traits (longevity, fecundity, and lifetime reproductive success) on the generation exposed to pesticide treatment (F0), and on their offspring (F1) and grand offspring (F2). The F1 and F2 generations were not exposed to pesticides, but conditions for isolation, housing, and mating were similar to the parental generation. The sample size doubled in each generation because we selected both a son and a daughter from each cross in each generation (160 focal beetles in F0, 320 focal beetles in F1, and 640 focal beetles in F2), hence allowing us to test for differences between the sexes, in the F0, F1, and F2 generations. We recorded the longevity of all beetles by individually monitoring survival on a daily basis from adult emergence until their death. We estimated total fecundity by carefully checking the presence of eggshells on each bean within every vial, on day 11th after oviposition. Fecundity was measured for the F0 generation only as our focus was primarily on total number of adult offspring produced along life (lifetime reproductive success, LRS), and fecundity measures could not be attained for F1 and F2 generations due to the large sample sizes for individuals assessed in those generations. LRS could be measured as viable eggs hatched in a 28-day interval. As mating and oviposition times were controlled in our experiment, containers were frozen 28 days after the death of the female (the last possible day for oviposition). For those females who lived longer than 14 days, containers were frozen always before the predicted emergence date of the next generation (corresponding to day 42 from the first oviposition date). LRS was measured for all beetles in all generations by accounting for the lifetime number of adults produced by each female (either focal females or tester females mated to focal males). Dry body weight was measured after death for all individuals, focal or tester, and in all generations, with a Sartorius Cubis MSA 6.6S microbalance (accuracy 0.001mg, Sartorius, Goettingen, Germany). Beetles were frozen at -20 ºC when found dead, for a period of several weeks until the end of the experiments. The animals were then thawed and dried for 1 week at 40 ºC (so as to remove variation in weight due to time elapsed between death and freezing) before being weighed.

Requests for additions/ modifications/ removal of symbols can be sent to nzgema@gmail.comName: Generation StationID: INF.19_Revision History: (latest at top)Version 2Released : December 2022See DocumentVersion 1Released : December 2018See Document

📜 CommitChronicle 🔮

This is the dataset for commit message generation (and/or completion), introduced in the paper "From Commit Message Generation to History-Aware Commit Message Completion", ASE 2023. Its key features:

large-scale and multilingual: contains 10.7M commits from 11.9k GitHub repositories in 20 programming languages; diverse: avoids restrictive filtering on commit messages or commit diffs structure; suitable for experiments with commit history: provides metadata… See the full description on the dataset page: https://huggingface.co/datasets/JetBrains-Research/commit-chronicle.

The PlayStation 2 was first released in 2000 in response to Sony's hugely popular original PlayStation. The PS2 has become the best-selling video game console of all time. As of May 2025, it had sold over *** million units worldwide. The latest PlayStation 5 console has sold over *** million units as of the most recently measured period. Nintendo's Switch is the only current-generation console among the five best-selling consoles of all time, with over *** million units. PlayStation console history PlayStation is a Japanese video game brand produced by Sony Interactive Entertainment, a division of the Sony Corporation. The PlayStation video game console is the most widely known product under the PlayStation umbrella. The first-generation PlayStation console was released in Japan in December 1994, and worldwide the following year. Since then, Sony has released a further four generations of video game consoles - PlayStation 2, PlayStation 3, PlayStation 4, and the latest PlayStation 5 which was released in November 2020. Sony has also released two handheld video game consoles: the PlayStation Portable and the PlayStation Vita. Nintendo console history Nintendo registers three devices in the top five for all-time sales of video game consoles. Nintendo released its first series of home consoles in 1977 with the Color TV-Game. In 1983, the company released the Nintendo Entertainment System (NES), a console that has recorded close to ** million lifetime sales globally. This was followed by the Super Nintendo Entertainment System (SNES), Nintendo 64 (N64), and Nintendo GameCube, respectively. In 2006, Nintendo released the Wii, the popular home console with motion control features. Nintendo’s latest home console, the Nintendo Switch, was first released in 2017.

Environmental signals can induce phenotypic changes that span multiple generations. Along with phenotypic responses that occur during development (i.e., 'within-generation' plasticity), such 'transgenerational plasticity' (TGP) has been documented in a diverse array of taxa spanning many environmental perturbations. New theory predicts that temporal stability is a key driver of the evolution of TGP. We tested this prediction using natural populations of zooplankton from lakes in Connecticut that span a large gradient in the temporal dynamics of predator-induced mortality. We reared >120 clones of Daphnia ambigua from 9 lakes for multiple generations in the presence/absence of predator cues. We found that temporal variation in mortality selects for within-generation plasticity while consistently strong (or weak) mortality selects for increased transgenerational plasticity. Such results provide the first evidence for local adaptation in TGP and argue that divergent ecological conditions select for phenotypic responses within and across generations.

The United States generated ***** terawatt-hours of electricity in 2024, one of the largest figures recorded in the indicated period. In comparison to the previous year, power generation decreased by *** terawatt-hours. U.S. electricity market and the role of renewables Unlike the use of fossil fuels, U.S. renewable electricity generation has increased in recent years, amounting to more than *** terawatt-hours in 2023. Wind power has become the main renewable source of electricity generation in the North American country, having surpassed conventional hydroelectric power in 2019. Who are the main consumers of electricity? The residential sector was ranked as the largest consumer of electricity in the United States in 2023. Electricity retail sales to residential users have grown by almost *** terawatt-hours since the beginning of the century.

The average American family in 2023 consisted of 3.15 persons. Families in the United States According to the U.S. Census Bureau, a family is a group of two people or more (one of whom is the householder) related by birth, marriage, or adoption and residing together; all such people (including related subfamily members) are considered as members of one family. As of 2023, the U.S. Census Bureau counted about 84.33 million families in the United States. The average family consisted of 3.15 persons in 2021, down from 3.7 in the 1960s. This is reflected in the decrease of children in family households overall. In 1970, about 56 percent of all family households had children under the age of 18 living in the household. This percentage declined to about 40 percent in 2020. The average size of a family household varies greatly from state to state. The largest average families can be found in Utah, California, and Hawaii, while the smallest families can be found in Wisconsin, Vermont and Maine.

Today, globally, women of childbearing age have an average of approximately 2.2 children over the course of their lifetime. In pre-industrial times, most women could expect to have somewhere between five and ten live births throughout their lifetime; however, the demographic transition then sees fertility rates fall significantly. Looking ahead, it is believed that the global fertility rate will fall below replacement level in the 2050s, which will eventually lead to population decline when life expectancy plateaus. Recent decades Between the 1950s and 1970s, the global fertility rate was roughly five children per woman - this was partly due to the post-WWII baby boom in many countries, on top of already-high rates in less-developed countries. The drop around 1960 can be attributed to China's "Great Leap Forward", where famine and disease in the world's most populous country saw the global fertility rate drop by roughly 0.5 children per woman. Between the 1970s and today, fertility rates fell consistently, although the rate of decline noticeably slowed as the baby boomer generation then began having their own children. Replacement level fertility Replacement level fertility, i.e. the number of children born per woman that a population needs for long-term stability, is approximately 2.1 children per woman. Populations may continue to grow naturally despite below-replacement level fertility, due to reduced mortality and increased life expectancy, however, these will plateau with time and then population decline will occur. It is believed that the global fertility rate will drop below replacement level in the mid-2050s, although improvements in healthcare and living standards will see population growth continue into the 2080s when the global population will then start falling.

In the United States, electricity derived from coal has decreased over the past two decades, with the annual output declining by almost 65 percent between 2010 and 2024. In contrast, there has been a rise in natural gas and renewable sources within the energy mix. How is electricity generated in the U.S.? Most electricity in the U.S. is generated from steam turbines, which can be powered by fossil and nuclear fuels, biomass, geothermal, and solar thermal energy. Other systems such as gas turbines, hydro turbines, wind turbines, and solar photovoltaics are also major generation technologies. Electric utilities in the U.S. generated more than 2,241 terawatt hours in 2024, accounting for just over half of the power output in the country that year. Growing renewable capacity Renewable sources have become more prominent in the U.S. over the past years, particularly wind, hydro, and solar energy. The former has overtaken conventional hydropower, becoming the leading renewable energy source in the U.S. since 2019. Wind and solar power have also accounted for the largest share of electricity capacity additions in the country in recent years.

In 2023, about 17.7 percent of the American population was 65 years old or over; an increase from the last few years and a figure which is expected to reach 22.8 percent by 2050. This is a significant increase from 1950, when only eight percent of the population was 65 or over. A rapidly aging population In recent years, the aging population of the United States has come into focus as a cause for concern, as the nature of work and retirement is expected to change to keep up. If a population is expected to live longer than the generations before, the economy will have to change as well to fulfill the needs of the citizens. In addition, the birth rate in the U.S. has been falling over the last 20 years, meaning that there are not as many young people to replace the individuals leaving the workforce. The future population It’s not only the American population that is aging -- the global population is, too. By 2025, the median age of the global workforce is expected to be 39.6 years, up from 33.8 years in 1990. Additionally, it is projected that there will be over three million people worldwide aged 100 years and over by 2050.

In the third quarter of 2024, the top ten percent of earners in the United States held over ** percent of total wealth. This is fairly consistent with the second quarter of 2024. Comparatively, the wealth of the bottom ** percent of earners has been slowly increasing since the start of the *****, though remains low. Wealth distribution in the United States by generation can be found here.

The number of Apple iPhone unit sales dramatically increased between 2007 and 2023. Indeed, in 2007, when the iPhone was first introduced, Apple shipped around *** million smartphones. By 2023, this number reached over *** million units. The newest models and iPhone’s lasting popularity Apple has ventured into its 17th smartphone generation with its Phone ** lineup, which, released in September 2023, includes the **, ** Plus, ** Pro and Pro Max. Powered by the A16 bionic chip and running on iOS **, these models present improved displays, cameras, and functionalities. On the one hand, such features come, however, with hefty price tags, namely, an average of ***** U.S. dollars. On the other hand, they contribute to making Apple among the leading smartphone vendors worldwide, along with Samsung and Xiaomi. In the first quarter of 2024, Samsung shipped over ** million smartphones, while Apple recorded shipments of roughly ** million units. Success of Apple’s other products Apart from the iPhone, which is Apple’s most profitable product, Apple is also the inventor of other heavy-weight players in the consumer electronics market. The Mac computer and the iPad, like the iPhone, are both pioneers in their respective markets and have helped popularize the use of PCs and tablets. The iPad is especially successful, having remained as the largest vendor in the tablet market ever since its debut. The hottest new Apple gadget is undoubtedly the Apple Watch, which is a line of smartwatches that has fitness tracking capabilities and can be integrated via iOS with other Apple products and services. The Apple Watch has also been staying ahead of other smart watch vendors since its initial release and secures around ** percent of the market share as of the latest quarter.