This graph shows population projections for the United States of America. The estimated population of the USA in 2050 is 398 million residents. Population The U.S. Census Bureau presents annual projections for the growth of the U.S. population up to the year 2060. By 2050, it is estimated that the American population will surpass 398 million citizens. The U.S. census also projects a regressing annual growth rate, starting at 0.8 percent in 2015 and decreasing to 0.46 percent by 2060.

The UN population division publishes population projections for the entire world up to the year 2100. The United Nations also projects a regressing annual growth rate of the world population. Between 2015 and 2020, the population is expected to increase by 1.04 percent annually. Around 2060, the annual growth rate will have decreased to 0.34 percent.

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.

According to a population projection based on 2020 Census Data, in 2040, California's population will amount to ***** million inhabitants.

projected population total, broken down by age and sex, for 2030, 2040, and 2050. They are benchmarked on the 2020 Decennial Census Count data from the U.S. Census Bureau to reflect the effect of the latest demographic trends on the future population. These projections were produced and released by the Cooper Center on July 1, 2024.

The Cooper Center projections research is widely used and well received; this data has been cited by a diverse range of organizations including many federal agencies, state legislatures, businesses, non-profits, think-tanks, academic institutions, and the media. The last vintage of projections for 2020 were found to be highly accurate when evaluated and compared to the actual Census Count data.

This graph shows population projections for the United States of America from 2015 to 2060, by age group. In 2060, the estimated population of residents of the U.S. over 100 years of age is 604,000.

The Population online databases contain data from the US Census Bureau. The Census Estimates online database contains contains county-level population counts for years 1970 - 2000. The data comprise the April 1st Census counts for years 1970, 1980, 1990 and 2000, the July 1st intercensal estimates for years 1971-1979 and 1981-1989, and the July 1st postcensal estimates for years 1991-1999. The Census Projections online database contains population projections for years 2004-2030 by year, state, age, race and sex, prodyced by teh Cenus Bureau in 2005. The data are produced by the United States Department of Commerce, U.S. Census Bureau, Population Division.

This statistic shows the population growth rate of the top twenty largest urban agglomerations in the United States from 2000 to 2030. Between 2025 and 2030, the average annual population growth rate of the New York-Newark agglomeration is projected to be roughly **** percent.

This feature set contains household and population projections from Projections 2040 for the San Francisco Bay Region. This forecast represents household and population projections resulting from Plan Bay Area 2040. Numbers are provided by 2010 Census Tract. Household and population numbers are included for 2010 (two versions), 2015, 2020, 2025, 2030, 2035, and 2040. For 2010, two data points are provided:A tabulation (base year A) from the 2010 model simulation (base year A); and(Preferred) A tabulation (base year B) from the 2010 pre-run microdata, designed to approximate (but may still differ from) Census 2010 counts.Projection data is included for total households, total population, household population, and group quarters population.This feature set was assembled using unclipped Census Tract features. For those who prefer Projections 2040 data using jurisdiction features with ocean and bay waters clipped out, the data in this feature service can be joined to San Francisco Bay Region 2010 Census Tracts (clipped). Clipping the Census Tract features does result in the removal of some water tracts, which are usually empty, so there is a difference in the number of features between the two services.Other Projections 2040 feature sets:Households and population per countyHouseholds and population per jurisdiction (incorporated place and unincorporated county)Jobs and employment per countyJobs and employment per jurisdiction (incorporated place and unincorporated county)Jobs per Census TractFemale population, by age range, per countyFemale population, by age range, per jurisdiction (incorporated place and unincorporated county)Male population, by age range, per countyMale population, by age range, per jurisdiction (incorporated place and unincorporated county)Total population, by age range, per countyTotal population, by age range, per jurisdiction (incorporated place and unincorporated county)

Constrained estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.

More information can be found in the Release Statement

The difference between constrained and unconstrained is explained on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

The graph shows the Hispanic population in the United States in 2022 and offers a forecast until 2060. According to this projection, there will be almost 98 million people of Hispanic descent in the United States in 2060.

About this dataset

Context

The dataset tabulates the Demorest population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Demorest across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Demorest was 2,046, a 0.39% decrease year-by-year from 2022. Previously, in 2022, Demorest population was 2,054, an increase of 1.18% compared to a population of 2,030 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Demorest increased by 582. In this period, the peak population was 2,144 in the year 2018. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Demorest is shown in this column.
• Year on Year Change: This column displays the change in Demorest population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

This dataset is a part of the main dataset for Demorest Population by Year. You can refer the same here

Reliable information concerning where water is used, how water is used, the quantity of water used, and changes in water use over time is key in making informed water-resources management decisions. Although projections of water-use estimates are subject to a variety of contingencies, ranging from natural disasters such as droughts and floods to economic booms or disruptions, they provide a basis for planners to evaluate the adequacy of water resources to meet future needs. During 2007, the State of Tennessee experienced a drought that limited water supply to several of the utility systems. As a result, the U.S. Geological Survey (USGS), in cooperation with the Tennessee Department of Environment and Conservation, Division of Water Resources (TDEC–DWR), entered into an agreement to evaluate 2010 water-use information and produce estimates of future water use in Tennessee. Estimates of water use for public supply were projected in 10-year increments through 2030 and were based on 2010 public-supply water data and population projections for 2020 through 2030. This data release includes water-use data for public-supply water systems obtained from the Tennessee Department of Environment and Conservation, Division of Water Resources; U.S. Census Population Data from the U.S. Census Bureau for 2010, and population projections from the Center for Business and Economic Research in Tennessee. Data in this release were used to support the projections and trends analyses published in the companion report Robinson (20##). Reference Robinson, J.A., 20##, Public-supply water use in Tennessee, 2010, and Projections of Use, 2020 and 2030: U.S. Geological Survey Scientific Investigations Report 20##-####, ##x p., http://dx.doi.org/10.3133/sir20######.

Constrained estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.

More information can be found in the Release Statement

The difference between constrained and unconstrained is explained on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

The North America Population Health Management Market size is valued at USD 35 billion, driven by market trends, player analysis, and industry challenges. Explore insights on market dynamics and segmentation.

About this dataset

Context

The dataset tabulates the Stephens City population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Stephens City across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Stephens City was 2,096, a 0.96% increase year-by-year from 2021. Previously, in 2021, Stephens City population was 2,076, an increase of 2.27% compared to a population of 2,030 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Stephens City increased by 756. In this period, the peak population was 2,096 in the year 2022. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Stephens City is shown in this column.
• Year on Year Change: This column displays the change in Stephens City population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

This dataset is a part of the main dataset for Stephens City Population by Year. You can refer the same here

Constrained estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.

More information can be found in the Release Statement

The difference between constrained and unconstrained is explained on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

About this dataset

Context

The dataset tabulates the West Point town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of West Point town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of West Point town was 2,030, a 0.25% increase year-by-year from 2021. Previously, in 2021, West Point town population was 2,025, a decline of 0.25% compared to a population of 2,030 in 2020. Over the last 20 plus years, between 2000 and 2022, population of West Point town increased by 396. In this period, the peak population was 2,030 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the West Point town is shown in this column.
• Year on Year Change: This column displays the change in West Point town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

This dataset is a part of the main dataset for West Point town Population by Year. You can refer the same here

By 2030, the middle-class population in Asia-Pacific is expected to increase from 1.38 billion people in 2015 to 3.49 billion people. In comparison, the middle-class population of sub-Saharan Africa is expected to increase from 114 million in 2015 to 212 million in 2030.

Worldwide wealth

While the middle-class has been on the rise, there is still a huge disparity in global wealth and income. The United States had the highest number of individuals belonging to the top one percent of wealth holders, and the value of global wealth is only expected to increase over the coming years. Around 57 percent of the world’s population had assets valued at less than 10,000 U.S. dollars; while less than one percent had assets of more than million U.S. dollars. Asia had the highest percentage of investable assets in the world in 2018, whereas Oceania had the highest percent of non-investable assets.

The middle-class

The middle class is the group of people whose income falls in the middle of the scale. China accounted for over half of the global population for middle-class wealth in 2017. In the United States, the debate about the middle class “disappearing” has been a popular topic due to the increase in wealth to the top billionaires in the nation. Due to this, there have been arguments to increase taxes on the rich to help support the middle-class.

Population mortality forecasts are widely used for allocating public health expenditures, setting research priorities, and evaluating the viability of public pensions, private pensions, and health care financing systems. In part because existing methods seem to forecast worse when based on more information, most forecasts are still based on simple linear extrapolations that ignore known biological risk factors and other prior information. We adapt a Bayesian hierarchical forecasting model capable of including more known health and demographic information than has previously been possible. This leads to the first age- and sex-specific forecasts of American mortality that simultaneously incorporate, in a formal statistical model, the effects of the recent rapid increase in obesity, the steady decline in tobacco consumption, and the well known patterns of smooth mortality age profiles and time trends. Formally including new information in forecasts can matter a great deal. For example, we estimate an increase in male life expectancy at birth from 76.2 years in 2010 to 79.9 years in 2030, which is 1.8 years greater than the U.S. Social Security Administration projection and 1.5 years more than U.S. Census projection. For females, we estimate more modest gains in life expectancy at birth over the next twenty years from 80.5 years to 81.9 years, which is virtually identical to the Social Security Administration projection and 2.0 years less than U.S. Census projections. We show that these patterns are also likely to greatly affect the aging American population structure. We offer an easy-to-use approach so that researchers can include other sources of information and potentially improve on our forecasts too. Website See also: Mortality Studies

This statistic depicts key figures on the forecasted state of health of Latin American populations in 2030. It is forecasted that in 2030, 50 to 60 percent of the Latin American people will be overweight or obese. By the same year, 40 million Latin Americans are said to suffer from diabetes.