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Context
The dataset tabulates the South Carolina 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 South Carolina 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 2024, the population of South Carolina was 5.48 million, a 1.69% increase year-by-year from 2023. Previously, in 2023, South Carolina population was 5.39 million, an increase of 1.89% compared to a population of 5.29 million in 2022. Over the last 20 plus years, between 2000 and 2024, population of South Carolina increased by 1.45 million. In this period, the peak population was 5.48 million in the year 2024. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Carolina Population by Year. You can refer the same here
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Graph and download economic data for Resident Population in South Carolina (SCPOP) from 1900 to 2024 about SC, residents, population, and USA.
In 2023, **** percent of South Carolina residents were Black or African American. A further **** percent of the population were white, and * percent of South Carolina residents were of two or more races in that same year.
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Chart and table of population level and growth rate for the state of South Carolina from 1900 to 2024.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the South Dakota 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 South Dakota 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 2024, the population of South Dakota was 924,669, a 0.69% increase year-by-year from 2023. Previously, in 2023, South Dakota population was 918,305, an increase of 0.94% compared to a population of 909,723 in 2022. Over the last 20 plus years, between 2000 and 2024, population of South Dakota increased by 168,962. In this period, the peak population was 924,669 in the year 2024. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Dakota Population by Year. You can refer the same here
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Graph and download economic data for Resident Population in the East South Central Census Division (CESCPOP) from 1900 to 2024 about East South Central Census Division, residents, population, and USA.
In 2023, about **** million people lived in South Carolina. This was an increase from the previous year, when about **** million people lived in the state. In 1960, the resident population of South Carolina stood at about **** million people.
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License information was derived automatically
Context
The dataset tabulates the South Jordan 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 South Jordan 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 South Jordan was 84,528, a 1.32% increase year-by-year from 2022. Previously, in 2022, South Jordan population was 83,423, an increase of 4.17% compared to a population of 80,080 in 2021. Over the last 20 plus years, between 2000 and 2023, population of South Jordan increased by 54,987. In this period, the peak population was 84,528 in the year 2023. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Jordan Population by Year. You can refer the same here
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Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa 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 in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Data and Resources TIFF South Africa - Population density (2015) DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid...
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Graph and download economic data for Resident Population in the South Atlantic Census Division (CSATLPOP) from 1900 to 2024 about South Atlantic Census Division, residents, population, and USA.
The statistic shows the total population of South Korea from 2020 to 2024, with projections up until 2030. In 2024, the total population of South Korea was about 51.75 million people. Population of South Korea South Korea, also called Republic of Korea, has one of the highest population densities worldwide, i.e. a very high number of inhabitants per square kilometer. However, this does not equal bad standard of living; on the Human Development Index, which ranks countries by their level of living standards using key factors, such as unemployment rate, literacy rate, fertility and mortality rates, etc., South Korea is among the highest-ranked countries. When looking at the aforementioned key factors, South Korea indeed seems to offer a fairly stable environment for its inhabitants, economically and demographically: The country’s unemployment rate has been relatively steady for the past decade, its gross domestic product (GDP) is constantly increasing, and it is among the countries with the highest trade surplus worldwide. As for standard of living, life expectancy at birth in South Korea is among the highest worldwide – South Korea is even mentioned in a recent ranking of the best birthplaces for children. Despite the high population density, South Korea is now one of the countries with the lowest fertility rates, i.e. the number of babies born by women of childbearing age. This apparent discrepancy could be explained by a high number of immigrants coupled with the aforementioned high life expectancy.
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United States Population: South Dakota data was reported at 869,666.000 Person in 2017. This records an increase from the previous number of 861,542.000 Person for 2016. United States Population: South Dakota data is updated yearly, averaging 808,457.500 Person from Jun 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 869,666.000 Person in 2017 and a record low of 755,694.000 Person in 2000. United States Population: South Dakota data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.G003: Population By State.
In 2023, about **** percent of the population in South Carolina was between the ages of 25 and 34 years old. A further **** percent of the population was between the ages of 35 and 44 years old in that same year.
As of 2023, Venezuela registered a population growth of *** percent, the highest in South America. Bolivia came in second, with *** percent, followed by Paraguay, with *** percent. When it comes to total population in South America, Brazil had the largest number, with over *** million inhabitants this same year.
During the American Civil War, not only was the Confederacy made up of fewer states than the Union, but these states were also much less populous than many in the North. For example, in the final census before the war in 1860, the five largest states in the South had around one million inhabitants each, while the largest states in the North had three to four million. In addition to the Union's larger population, the fact that European immigration into urban and industrial centers in the North was much higher also gave the Union a steady supply of recruits that were drafted as the war progressed, which was vital to the Union's victory in 1865.
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License information was derived automatically
The total population in South Africa was estimated at 63.0 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - South Africa Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of South Carolina by race. It includes the distribution of the Non-Hispanic population of South Carolina across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of South Carolina across relevant racial categories.
Key observations
Of the Non-Hispanic population in South Carolina, the largest racial group is White alone with a population of 3.24 million (66.97% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Carolina Population by Race & Ethnicity. You can refer the same here
In 2023, *** percent of South Dakota residents were American Indian or Alaska Native. A further **** percent of the population were white, and *** percent of South Dakota residents were of two or more races in that same year.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the South Shore 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 South Shore 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 South Shore was 1,064, a 0.47% decrease year-by-year from 2022. Previously, in 2022, South Shore population was 1,069, a decline of 1.02% compared to a population of 1,080 in 2021. Over the last 20 plus years, between 2000 and 2023, population of South Shore decreased by 356. In this period, the peak population was 1,480 in the year 2009. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Shore Population by Year. You can refer the same here
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The average for 2021 based on 12 countries was 25 people per square km. The highest value was in Ecuador: 72 people per square km and the lowest value was in Guyana: 4 people per square km. The indicator is available from 1961 to 2021. Below is a chart for all countries where data are available.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the South Carolina 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 South Carolina 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 2024, the population of South Carolina was 5.48 million, a 1.69% increase year-by-year from 2023. Previously, in 2023, South Carolina population was 5.39 million, an increase of 1.89% compared to a population of 5.29 million in 2022. Over the last 20 plus years, between 2000 and 2024, population of South Carolina increased by 1.45 million. In this period, the peak population was 5.48 million in the year 2024. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Carolina Population by Year. You can refer the same here