About this dataset

Context

This list ranks the 64 counties in the South Dakota by Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each counties over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Asian Population: This column displays the rank of counties in the South Dakota by their Asian population, using the most recent ACS data available.
• counties: The counties for which the rank is shown in the previous column.
• Asian Population: The Asian population of the counties is shown in this column.
• % of Total counties Population: This shows what percentage of the total counties population identifies as Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total South Dakota Asian Population: This tells us how much of the entire South Dakota Asian population lives in that counties. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

This statistics shows the leading metropolitan areas in the United States in 2023 with the highest percentage of Asian population. Among the 81 largest metropolitan areas, Urban Honolulu, Hawaii was ranked first with **** percent of residents reporting as Asian in 2023.

About this dataset

Context

This list ranks the 269 cities in the South Carolina by Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Asian Population: This column displays the rank of cities in the South Carolina by their Asian population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Asian Population: The Asian population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total South Carolina Asian Population: This tells us how much of the entire South Carolina Asian population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

The following data set is information obtained about counties in the United States from 2010 through 2019 through the United States Census Bureau. Information described in the data includes the age distributions, the education levels, employment statistics, ethnicity percents, houseold information, income, and other miscellneous statistics. (Values are denoted as -1, if the data is not available)

Data Dictionary

Actual value and historical data chart for South Asia Population Growth Annual Percent

The statistic depicts the share of international immigrants among the total population of South Asia in 2017, broken down by country. During the measured time period, **** percent of the population of Maldives were international immigrants.

Graph and download economic data for Consumer Unit Characteristics: Percent White, Asian, and All Other Races, Not Including African American by Region: Residence in the South Census Region (CXUWHTNDOTHLB1104M) from 1984 to 2023 about South Census Region, asian, consumer unit, white, residents, percent, and USA.

Actual value and historical data chart for South Asia Rural Population Percent Of Total Population

About this dataset

Context

This list ranks the 307 cities in the South Dakota by Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Asian Population: This column displays the rank of cities in the South Dakota by their Asian population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Asian Population: The Asian population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total South Dakota Asian Population: This tells us how much of the entire South Dakota Asian population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

Actual value and historical data chart for South Asia Individuals Using The Internet Percent Of Population

This statistic illustrates the share of people in the United States who traveled to South East Asia (e.g. Thailand, Malaysia) in the last 12 months as of 2018. The results were sorted by age. In 2018, **** percent of American respondents aged 18 to 29 years stated they made a trip to South East Asia in the last 12 months. The Statista Global Consumer Survey offers a global perspective on consumption and media usage, covering the offline und online world of the consumer.

In 2023, **** percent of the population in South Asia were estimated to be undernourished. This was an increase from 2015, when **** percent of South Asia's population were undernourished.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of South Pasadena by race. It includes the distribution of the Non-Hispanic population of South Pasadena across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of South Pasadena across relevant racial categories.

Key observations

Of the Non-Hispanic population in South Pasadena, the largest racial group is White alone with a population of 9,904 (47.41% of the total Non-Hispanic population).

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the South Pasadena
• Population: The population of the racial category (for Non-Hispanic) in the South Pasadena is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of South Pasadena total Non-Hispanic population. 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 South Pasadena Population by Race & Ethnicity. You can refer the same here

In 2023, **** percent of the population in South Asia was exposed to severe food insecurity. This was a slight increase from the previous year, when ** percent of South Asia's population was subject to severe food insecurity. Severe food insecurity in South Asia Food insecurity describes the situation when a person lacks consistent access to an adequate supply of safe and nourishing food for normal growth or a healthy lifestyle. Meanwhile, severe food insecurity refers to extreme conditions when the person has no food for an entire day or longer. South Asia comprises some of the poorest economies in the Asia-Pacific region. Except for the Maldives, the gross domestic product per person of South Asian countries was below **** thousand U.S. dollars. A combination of economic challenges, land degradation, climate change effects, and structural dependence on the global north partly induced by globalization, among other reasons, has resulted in the highest prevalence of severe food insecurity in the Asia-Pacific region for South Asia, with almost a fifth of the population experiencing severe food insecurity. India’s food insecurity and lifestyle diseases South Asia is home to about a quarter of the world’s population, with India making up more than ******* percent of it. The prevalence of chronic hunger, moderate and severe food insecurity in India between 2015 and 2021 continuously increased. The Indian government has deployed several public initiatives to ensure nutrition and food security in the country. Nevertheless, the Global Hunger Index has classified India among the countries that are most affected by hunger and malnutrition, with an index of ****. The situations that pose health risks not only stem from malnourishment but from lifestyle as well. For instance, lifestyle shifts towards more modern ones have led to an increase in common lifestyle diseases among Indians.

The average for 2023 based on 11 countries was 2.41 percent. The highest value was in India: 17.94 percent and the lowest value was in Brunei: 0.01 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

Actual value and historical data chart for South Asia Population Female Percent Of Total

About this dataset

Context

This list ranks the 46 counties in the South Carolina by Multi-Racial Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each counties over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Multi-Racial Asian Population: This column displays the rank of counties in the South Carolina by their Multi-Racial Asian population, using the most recent ACS data available.
• counties: The counties for which the rank is shown in the previous column.
• Multi-Racial Asian Population: The Multi-Racial Asian population of the counties is shown in this column.
• % of Total counties Population: This shows what percentage of the total counties population identifies as Multi-Racial Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total South Carolina Multi-Racial Asian Population: This tells us how much of the entire South Carolina Multi-Racial Asian population lives in that counties. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.

Number of people belonging to a visible minority group as defined by the Employment Equity Act and, if so, the visible minority group to which the person belongs. The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour.' The visible minority population consists mainly of the following groups: South Asian, Chinese, Black, Filipino, Latin American, Arab, Southeast Asian, West Asian, Korean and Japanese.

Number of people belonging to a visible minority group as defined by the Employment Equity Act and, if so, the visible minority group to which the person belongs. The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour.' The visible minority population consists mainly of the following groups: South Asian, Chinese, Black, Filipino, Latin American, Arab, Southeast Asian, West Asian, Korean and Japanese.