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.

The earliest point where scientists can make reasonable estimates for the population of global regions is around 10,000 years before the Common Era (or 12,000 years ago). Estimates suggest that Asia has consistently been the most populated continent, and the least populated continent has generally been Oceania (although it was more heavily populated than areas such as North America in very early years). Population growth was very slow, but an increase can be observed between most of the given time periods. There were, however, dips in population due to pandemics, the most notable of these being the impact of plague in Eurasia in the 14th century, and the impact of European contact with the indigenous populations of the Americas after 1492, where it took almost four centuries for the population of Latin America to return to its pre-1500 level. The world's population first reached one billion people in 1803, which also coincided with a spike in population growth, due to the onset of the demographic transition. This wave of growth first spread across the most industrially developed countries in the 19th century, and the correlation between demographic development and industrial or economic maturity continued until today, with Africa being the final major region to begin its transition in the late-1900s.

The U.S. Census defines Asian Americans as individuals having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent (U.S. Office of Management and Budget, 1997). As a broad racial category, Asian Americans are the fastest-growing minority group in the United States (U.S. Census Bureau, 2012). The growth rate of 42.9% in Asian Americans between 2000 and 2010 is phenomenal given that the corresponding figure for the U.S. total population is only 9.3% (see Figure 1). Currently, Asian Americans make up 5.6% of the total U.S. population and are projected to reach 10% by 2050. It is particularly notable that Asians have recently overtaken Hispanics as the largest group of new immigrants to the U.S. (Pew Research Center, 2015). The rapid growth rate and unique challenges as a new immigrant group call for a better understanding of the social and health needs of the Asian American population.

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau to show counts and percentages for population change by race by census tract in the Atlanta Region.Attributes:TRACTCE10 = 6-digit census tract codeGEOID10 = The full FIPS code for this geographyNAME10 = Census tract codePLNG_REGIO = Planning regionPopulation, 2010Population, 2000White, 2010Black, 2010Asian Pacific Islander, 2010Other Races, Includes Biracial, 2010Hispanic, All Races, 2010All Non-White, 2010Percent White, 2010Percent Black, 2010Percent Asian Pacific Islander, 2010Percent Other Races, Includes Biracial, 2010Percent Hispanic, All Races, 2010Percent All Non-White, 2010White, 2000Black, 2000Asian Pacific Islander, 2000Other Races, Includes Biracial, 2000Hispanic, All Races, 2000All Non-White, 2000Percent White, 2000Percent Black, 2000Percent Asian Pacific Islander, 2000Percent Other Races, Includes Biracial, 2000Percent Hispanic, All Races, 2000Percent All Non-White, 2000Change in White Population, 2000-2010Change in Black Population, 2000-2010Change in Asian Pacific Islander Population, 2000-2010Change in Other Races, Includes Biracial Population, 2000-2010Change in Hispanic, All Races Population, 2000-2010Change in Percent White Population, 2000-2010Change in Percent Black Population, 2000-2010Change in Percent Asian Pacific Islander Population, 2000-2010Change in Percent Other Races, Includes Biracial Population, 2000-2010Change in Percent Hispanic, All Races Population, 2000-2010Changed from Majority White to Majority Non-White, 2000-2010Shape.STArea() = Area in square feetSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2000-2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com

In 2024, the population of Africa was projected to grow by 2.27 percent compared to the previous year. The population growth rate on the continent has been constantly over 2.5 percent from 2000 onwards, and it peaked at 2.63 percent in 2013. Despite a slowdown in the growth rate after that, the continent's population will continue to increase significantly in the coming years. The second-largest population worldwide In 2023, the total population of Africa amounted to almost 1.5 billion. The number of inhabitants had grown steadily in the previous decades, rising from approximately 831 million in 2000. Driven by a decreasing mortality rate and a higher life expectancy at birth, the African population was forecast to increase to about 2.5 billion individuals by 2050. Africa is currently the second most populous continent worldwide after Asia. However, forecasts showed that Africa could gradually close the gap and almost reach the size of the Asian population in 2100. By that year, Africa might count 3.8 billion people, compared to 4.6 billion in Asia. The world's youngest continent The median age in Africa corresponded to 19.2 years in 2024. Although the median age has increased in recent years, the continent remains the youngest worldwide. In 2023, roughly 40 percent of the African population was aged 15 years and younger, compared to a global average of 25 percent. Africa recorded not only the highest share of youth but also the smallest elderly population worldwide. As of the same year, only three percent of Africa's population was aged 65 years and older. Africa and Latin America were the only regions below the global average of ten percent. On the continent, Niger, Uganda, and Angola were the countries with the youngest population in 2023.

Graph and download economic data for Population Level - Asian (LNU00032183) from Jan 2000 to Aug 2025 about asian, civilian, population, and USA.

In 2020, the estimated size of the middle class population in the six selected Southeast Asian countries Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam amounted to around *** million. That year, approximately ** million people of Indonesia's total population were part of the middle class.

Graph and download economic data for Employment Population Ratio - Asian (LNU02332183) from Jan 2000 to Aug 2025 about asian, ratio, 16 years +, household survey, population, employment, and USA.

Spatially accurate, contemporary data on human population distributions are vitally important to many applied and theoretical researchers. The Southeast Asia region has undergone rapid urbanization and population growth over the past decade, yet existing spatial population distribution datasets covering the region are based principally on population count data from censuses circa 2000, with often insufficient spatial resolution or input data to map settlements precisely. Here we outline approaches to construct a database of GIS-linked circa 2010 census data and methods used to construct fine-scale (∼100 meters spatial resolution) population distribution datasets for each country in the Southeast Asia region. Landsat-derived settlement maps and land cover information were combined with ancillary datasets on infrastructure to model population distributions for 2010 and 2015. These products were compared with those from two other methods used to construct commonly used global population datasets. Results indicate mapping accuracies are consistently higher when incorporating land cover and settlement information into the AsiaPop modelling process. Using existing data, it is possible to produce detailed, contemporary and easily updatable population distribution datasets for Southeast Asia. The 2010 and 2015 datasets produced are freely available as a product of the AsiaPop Project and can be downloaded from: www.asiapop.org.

United States Current Population Survey: Population: Asian data was reported at 15,934.000 Person th in Jun 2018. This records an increase from the previous number of 15,874.000 Person th for May 2018. United States Current Population Survey: Population: Asian data is updated monthly, averaging 10,833.000 Person th from Jan 2000 (Median) to Jun 2018, with 222 observations. The data reached an all-time high of 15,983.000 Person th in Mar 2018 and a record low of 8,992.000 Person th in Jan 2003. United States Current Population Survey: Population: Asian data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G007: Current Population Survey: Population.

The Country-Level Population and Downscaled Projections Based on Special Report on Emissions Scenarios (SRES) A1, B1, and A2 Scenarios, 1990-2100, were adopted in 2000 from population projections realized at the International Institute for Applied Systems Analysis (IIASA) in 1996. The Intergovernmental Panel on Climate Change (IPCC) SRES A1 and B1 scenarios both used the same IIASA "rapid" fertility transition projection, which assumes low fertility and low mortality rates. The SRES A2 scenario used a corresponding IIASA "slow" fertility transition projection (high fertility and high mortality rates). Both IIASA low and high projections are performed for 13 world regions including North Africa, Sub-Saharan Africa, China and Centrally Planned Asia, Pacific Asia, Pacific OECD, Central Asia, Middle East, South Asia, Eastern Europe, European part of the former Soviet Union, Western Europe, Latin America, and North America. This data set is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

This data set shows Intercensal Mid-Year Population Estimates by Age Group and Sex, W.P. Kuala Lumpur, 2000-2010. Intercensal Population Estimates 2001-2009 was produced based on Census 2000 and 2010 which has been adjusted to the under enumeration rate and updated with natural increases (births and deaths).

More Info : https://newss.statistics.gov.my https://www.statistics.gov.my

NOTE: For information on confidentiality protection,.nonsampling error, definitions, and count corrections see.http://www.census.gov/prod/cen2000/doc/cd110h.pdf

Between 1800 and 2021, the total population of each continent experienced consistent growth, however as growth rates varied by region, population distribution has fluctuated. In the early 19th century, almost 70 percent of the world's population lived in Asia, while fewer than 10 percent lived in Africa. By the end of this century, it is believed that Asia's share will fall to roughly 45 percent, while Africa's will be on course to reach 40 percent. 19th and 20th centuries Fewer than 2.5 percent of the world's population lived in the Americas in 1800, however the demographic transition, along with waves of migration, would see this share rise to almost 10 percent a century later, peaking at almost 14 percent in the 1960s. Europe's share of the global population also grew in the 19th century, to roughly a quarter in 1900, but fell thereafter and saw the largest relative decline during the 20th century. Asia, which has consistently been the world's most populous continent, saw its population share drop by the mid-1900s, but it has been around 60 percent since the 1970s. It is important to note that the world population has grown from approximately one to eight billion people between 1800 and the 2020s, and that declines in population distribution before 2020 have resulted from different growth rates across the continents. 21st century Africa's population share remained fairly constant throughout this time, fluctuating between 7.5 and 10 percent until the late-1900s, but it is set to see the largest change over the 21st century. As Europe's total population is now falling, and it is estimated that the total populations of Asia and the Americas will fall by the 2050s and 2070s respectively, rapid population growth in Africa will see a significant shift in population distribution. Africa's population is predicted to grow from 1.3 to 3.9 billion people over the next eight decades, and its share of the total population will rise to almost 40 percent. The only other continent whose population will still be growing at this time will be Oceania, although its share of the total population has never been more than 0.7 percent.

Employment-to-population among youth worldwide fell in most world regions except for in North America, where it increased in recent years, and in Europe and Central Asia, where it remained stable. Declines were most notable in East and South Asia. The declining ratios must be seen in relation to increasing enrollment in education that usually comes with increasing levels of development.

NOTE: For information on confidentiality protection,.nonsampling error, definitions, and count corrections see.http://www.census.gov/prod/cen2000/doc/sf1.pdf

DATASET: Alpha version 2000 and 2010 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and MODIS-derived urban extent change built in. REGION: Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described on the website and in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM00urbchg.tif = Vietnam (VNM) population count map for 2000 (00) adjusted to match UN national estimates and incorporating urban extent and urban population estimates for 2000. DATE OF PRODUCTION: July 2013 Dataset construction details and input data are provided here: www.asiapop.org and here: http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055882

DATASET: Alpha version 2000 and 2010 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and MODIS-derived urban extent change built in. REGION: Asia SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described on the website and in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM00urbchg.tif = Vietnam (VNM) population count map for 2000 (00) adjusted to match UN national estimates and incorporating urban extent and urban population estimates for 2000. DATE OF PRODUCTION: July 2013 Dataset construction details and input data are provided here: www.asiapop.org and here: http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055882

Monitoring population trends of threatened species requires standardized techniques that can be applied over broad areas and repeated through time. Sun bears Helarctos malayanus are a forest dependent tropical bear found throughout most of Southeast Asia. Previous estimates of global population trends have relied on expert opinion and cannot be systematically replicated. We combined data from 1,463 camera traps within 31 field sites across sun bear range to model the relationship between photo catch rates of sun bears and tree cover. Sun bears were detected in all levels of tree cover above 20%, and the probability of presence was positively associated with the amount of tree cover within a 6-km2 buffer of the camera traps. We used the relationship between catch rates and tree cover across space to infer temporal trends in sun bear abundance in response to tree cover loss at country and global-scales. Our model-based projections based on this “space for time” substitution suggested that sun bear population declines associated with tree cover loss between 2000–2014 in mainland southeast Asia were ~9%, with declines highest in Cambodia and lowest in Myanmar. During the same period, sun bear populations in insular southeast Asia (Malaysia, Indonesia and Brunei) were projected to have declined at a much higher rate (22%). Cast forward over 30-years, from the year 2000, by assuming a constant rate of change in tree cover, we projected population declines in the insular region that surpassed 50%, meeting the IUCN criteria for endangered if sun bears were listed on the population level. Although this approach requires several assumptions, most notably that trends in abundance across space can be used to infer temporal trends, population projections using remotely sensed tree cover data may serve as a useful alternative (or supplement) to expert opinion. The advantages of this approach is that it is objective, data-driven, repeatable, and it requires that all assumptions be clearly stated.

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census, to show various demographic and housing data by state House district in the state of Georgia (including the following categories: population, households, housing characteristics, age, and race/ethnicity), for 2000 and 2010.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile - - - - - -Attributes from Census Bureau:Family_households = Family households, 2010Pct_Family_households = % Family households, 2010Family_HH_wOwnChild_un18yr = Family households with own children under 18 years, 2010Pct_Family_HH_wOwnChild_un18yr = % Family households with own children under 18 years, 2010Husband_wife_families = Husband-wife families, 2010Pct_Husband_wife_families = % Husband-wife families, 2010Hus_wife_families_wChild = Husband-wife families with children, 2010Pct_hus_wife_families_wChild = % Husband-wife families with children, 2010Single_parent_households = Single parent households, 2010Pct_Single_parent_households = % Single parent households, 2010Nonfamily_households = Nonfamily households, 2010Pct_Nonfamily_households = % Nonfamily households, 2010HH_with_individuals_un18yr = Households with individuals under 18 years, 2010Pct_HH_with_individuals_un18yr = % Households with individuals under 18 years, 2010- - - - - -Total_housing_units = Total housing units, 2010Occupied_housing_units = #, Occupied housing units, 2010Percent_Occupied_housing_units = %, Occupied housing units, 2010Vacant_housing_units = #, Vacant housing units, 2010Percent_Vacant_housing_units = %, Vacant housing units, 2010Owner_occupied_housing_units = #, Owner occupied housing units, 2010Pct_Owner_Occ_HousUnits = %, Owner occupied housing units, 2010Renter_occupied_housing_units = #, Renter occupied housing units, 2010Pct_Renter_Occ_Units = %, Renter occupied housing units, 2010- - - - - -Pop_under_age_19_2010 = Population under age 19, 2010Pop_ages_20_34_2010 = Population ages 20-34, 2010Pop_ages_35_44_2010 = Population ages 35-44, 2010Pop_ages_45_64_2010 = Population ages 45-64, 2010Pop_ages_65_over_2010 = Population ages 65 and over, 2010Pct_Pop_under_age_19_2010 = % Population under age 19, 2010Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010Pop_under_age_19_2000 = Population under age 19, 2000Pop_ages_20_34_2000 = Population ages 20-34, 2000Pop_ages_35_44_2000 = Population ages 35-44, 2000Pop_ages_45_64_2000 = Population ages 45-64, 2000Pop_ages_65_over_2000 = Population ages 65 and over, 2000Pct_Pop_under_age_19_2000 = % Population under age 19, 2000Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010)Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010)Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010)Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010)Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010)Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010)Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)- - - - - -Non_Hisp_White_2010 = Non-Hispanic White, 2010Non_Hisp_Black_2010 = Non-Hispanic Black, 2010Non_Hisp_AsianPI_2010 = Non-Hispanic Asian/Pacific Islander, 2010Non_Hisp_Other_Biracial_2010 = Non-Hispanic Other Races (includes biracial), 2010Hisp_All_races_2010 = Hispanic, All races, 2010Pct_Non_Hisp_White_2010 = % Non-Hispanic White, 2010Pct_Non_Hisp_Black_2010 = % Non-Hispanic Black, 2010Pct_Non_Hisp_AsianPI_2010 = % Non-Hispanic Asian/Pacific Islander, 2010Pct_Non_Hisp_Other_Bi_2010 = % Non-Hispanic Other Races (includes biracial), 2010Pct_Hisp_All_races_2010 = % Hispanic, All races, 2010Non_Hisp_White_2000 = Non-Hispanic White, 2000Non_Hisp_Black_2000 = Non-Hispanic Black, 2000Non_Hisp_AsianPI_2000 = Non-Hispanic Asian/Pacific Islander, 2000Non_Hisp_Other_Biracial_2000 = Non-Hispanic Other Races (includes biracial), 2000Hisp_All_races_2000 = Hispanic, All races, 2000Pct_Non_Hisp_White_2000 = % Non-Hispanic White, 2000Pct_Non_Hisp_Black_2000 = % Non-Hispanic Black, 2000Pct_Non_Hisp_AsianPI_2000 = % Non-Hispanic Asian/Pacific Islander, 2000Pct_Non_Hisp_Other_Bi_2000 = % Non-Hispanic Other Races (includes biracial), 2000Pct_Hisp_All_races_2000 = % Hispanic, All races, 2000Chg_Non_Hisp_White = Change in Non-Hispanic White Population (2000-2010)Chg_Non_Hisp_Black = Change in Non-Hispanic Black Population (2000-2010)Chg_Non_Hisp_AsianPI = Change in Non-Hispanic Asian/Pacific Islander Population (2000-2010)Chg_Non_Hisp_Other_Biracial = Change in Non-Hispanic Other (includes biracial) Population (2000-2010)Chg_Hisp_Population = Change in Hispanic Population (2000-2010)Chg_Pct_Non_Hisp_White = Change in Percent Non-Hispanic White (2000-2010)Chg_Pct_Non_Hisp_Black = Change in Percent Non-Hispanic Black (2000-2010)Chg_Pct_Non_Hisp_AsianPI = Change in Percent Non-Hispanic Asian/Pacific Islander (2000-2010)Chg_Pct_Non_Hisp_Other_Biracial = Change in Percent Non-Hispanic Other (includes biracial) (2000-2010)Chg_Pct_Hisp_Population = Change in Percent Hispanic Population (2000-2010)- - - - - -Population_2010 = Population, 2010Population_2000 = Population, 2000Population_Change_2000_2010 = Population Change, 2000-2010Pct_Population_Change_2000_2010 = % Population Change, 2000-2010- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDates: 2000, 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.