About this dataset

Context

The dataset tabulates the data for the Indian Head, MD population pyramid, which represents the Indian Head population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Indian Head, MD, is 23.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Indian Head, MD, is 16.2.
• Total dependency ratio for Indian Head, MD is 39.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Indian Head, MD is 6.2.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Indian Head population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Indian Head for the selected age group is shown in the following column.
• Population (Female): The female population in the Indian Head for the selected age group is shown in the following column.
• Total Population: The total population of the Indian Head for the selected age group is shown in the following column.

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 Indian Head Population by Age. You can refer the same here

This graph shows the population of the U.S. by race and ethnic group from 2000 to 2023. In 2023, there were around 21.39 million people of Asian origin living in the United States. A ranking of the most spoken languages across the world can be accessed here. U.S. populationCurrently, the white population makes up the vast majority of the United States’ population, accounting for some 252.07 million people in 2023. This ethnicity group contributes to the highest share of the population in every region, but is especially noticeable in the Midwestern region. The Black or African American resident population totaled 45.76 million people in the same year. The overall population in the United States is expected to increase annually from 2022, with the 320.92 million people in 2015 expected to rise to 341.69 million people by 2027. Thus, population densities have also increased, totaling 36.3 inhabitants per square kilometer as of 2021. Despite being one of the most populous countries in the world, following China and India, the United States is not even among the top 150 most densely populated countries due to its large land mass. Monaco is the most densely populated country in the world and has a population density of 24,621.5 inhabitants per square kilometer as of 2021. As population numbers in the U.S. continues to grow, the Hispanic population has also seen a similar trend from 35.7 million inhabitants in the country in 2000 to some 62.65 million inhabitants in 2021. This growing population group is a significant source of population growth in the country due to both high immigration and birth rates. The United States is one of the most racially diverse countries in the world.

About this dataset

Context

The dataset tabulates the data for the Indian Harbour Beach, FL population pyramid, which represents the Indian Harbour Beach population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Indian Harbour Beach, FL, is 35.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Indian Harbour Beach, FL, is 50.9.
• Total dependency ratio for Indian Harbour Beach, FL is 86.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Indian Harbour Beach, FL is 2.0.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Indian Harbour Beach population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Indian Harbour Beach for the selected age group is shown in the following column.
• Population (Female): The female population in the Indian Harbour Beach for the selected age group is shown in the following column.
• Total Population: The total population of the Indian Harbour Beach for the selected age group is shown in the following column.

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 Indian Harbour Beach Population by Age. You can refer the same here

In 2021, over 12 percent of India's population was living on less than 2.15 U.S. dollars per day. When the 3.65 U.S. dollars per day threshold is considered, the share increased to over 44 percent.

In the fiscal year of 2019, 21.39 percent of active-duty enlisted women were of Hispanic origin. The total number of active duty military personnel in 2019 amounted to 1.3 million people.

Ethnicities in the United States The United States is known around the world for the diversity of its population. The Census recognizes six different racial and ethnic categories: White American, Native American and Alaska Native, Asian American, Black or African American, Native Hawaiian and Other Pacific Islander. People of Hispanic or Latino origin are classified as a racially diverse ethnicity.

The largest part of the population, about 61.3 percent, is composed of White Americans. The largest minority in the country are Hispanics with a share of 17.8 percent of the population, followed by Black or African Americans with 13.3 percent. Life in the U.S. and ethnicity However, life in the United States seems to be rather different depending on the race or ethnicity that you belong to. For instance: In 2019, native Hawaiians and other Pacific Islanders had the highest birth rate of 58 per 1,000 women, while the birth rae of white alone, non Hispanic women was 49 children per 1,000 women.

The Black population living in the United States has the highest poverty rate with of all Census races and ethnicities in the United States. About 19.5 percent of the Black population was living with an income lower than the 2020 poverty threshold. The Asian population has the smallest poverty rate in the United States, with about 8.1 percent living in poverty.

The median annual family income in the United States in 2020 earned by Black families was about 57,476 U.S. dollars, while the average family income earned by the Asian population was about 109,448 U.S. dollars. This is more than 25,000 U.S. dollars higher than the U.S. average family income, which was 84,008 U.S. dollars.

India Bank of America: Financial Ratio: Wage Bills-Total Income data was reported at 12.640 % in 2018. This records a decrease from the previous number of 12.760 % for 2017. India Bank of America: Financial Ratio: Wage Bills-Total Income data is updated yearly, averaging 11.545 % from Mar 1999 to 2018, with 20 observations. The data reached an all-time high of 16.630 % in 2011 and a record low of 4.320 % in 1999. India Bank of America: Financial Ratio: Wage Bills-Total Income data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBR008: Foreign Banks: Selected Financial Ratios: Bank of America.

This statistic shows the number of cancer patients per oncologist in the United States and in India, as of 2014. As of this time, the U.S. had a 1:100 ratio of oncologists to cancer patients, while in India every oncologist theoretically had 20 times more patients.

India Bank of America: Financial Ratio: Credit, Investment-Deposit data was reported at 158.970 % in 2018. This records an increase from the previous number of 111.020 % for 2017. India Bank of America: Financial Ratio: Credit, Investment-Deposit data is updated yearly, averaging 217.930 % from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 297.650 % in 2003 and a record low of 111.020 % in 2017. India Bank of America: Financial Ratio: Credit, Investment-Deposit data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBR008: Foreign Banks: Selected Financial Ratios: Bank of America.

Graph and download economic data for Housing Inventory: Pending Ratio Year-Over-Year in Indian River County, FL (PENRATYY12061) from Jul 2017 to May 2025 about Indian River County, FL; Sebastian; pending; ratio; FL; and USA.

This map shows the percentage of people who identify as something other than non-Hispanic white throughout the US according to the most current American Community Survey. The pattern is shown by states, counties, and Census tracts. Zoom or search for anywhere in the US to see a local pattern. Click on an area to learn more. Filter to your area and save a new version of the map to use for your own mapping purposes.The Arcade expression used was: 100 - B03002_calc_pctNHWhiteE, which is simply 100 minus the percent of population who identifies as non-Hispanic white. The data is from the U.S. Census Bureau's American Community Survey (ACS). The figures in this map update automatically annually when the newest estimates are released by ACS. For more detailed metadata, visit the ArcGIS Living Atlas Layer: ACS Race and Hispanic Origin Variables - Boundaries.The data on race were derived from answers to the question on race that was asked of individuals in the United States. The Census Bureau collects racial data in accordance with guidelines provided by the U.S. Office of Management and Budget (OMB), and these data are based on self-identification. The racial categories included in the census questionnaire generally reflect a social definition of race recognized in this country and not an attempt to define race biologically, anthropologically, or genetically. The categories represent a social-political construct designed for collecting data on the race and ethnicity of broad population groups in this country, and are not anthropologically or scientifically based. Learn more here.Other maps of interest:American Indian or Alaska Native Population in the US (Current ACS)Asian Population in the US (Current ACS)Black or African American Population in the US (Current ACS)Hawaiian or Other Pacific Islander Population in the US (Current ACS)Hispanic or Latino Population in the US (Current ACS) (some people prefer Latinx)Population who are Some Other Race in the US (Current ACS)Population who are Two or More Races in the US (Current ACS) (some people prefer mixed race or multiracial)White Population in the US (Current ACS)Race in the US by Dot DensityWhat is the most common race/ethnicity?

About this dataset

Context

The dataset tabulates the data for the Indian Point, MO population pyramid, which represents the Indian Point population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Indian Point, MO, is 16.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Indian Point, MO, is 72.9.
• Total dependency ratio for Indian Point, MO is 89.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Indian Point, MO is 1.4.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Indian Point population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Indian Point for the selected age group is shown in the following column.
• Population (Female): The female population in the Indian Point for the selected age group is shown in the following column.
• Total Population: The total population of the Indian Point for the selected age group is shown in the following column.

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 Indian Point Population by Age. You can refer the same here

India Bank of America: Financial Ratio: Intermediation Cost-Total Aseets data was reported at 1.860 % in 2018. This records an increase from the previous number of 1.820 % for 2017. India Bank of America: Financial Ratio: Intermediation Cost-Total Aseets data is updated yearly, averaging 1.980 % from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 2.860 % in 2012 and a record low of 1.460 % in 2003. India Bank of America: Financial Ratio: Intermediation Cost-Total Aseets data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBR008: Foreign Banks: Selected Financial Ratios: Bank of America.

India Bank of America: Financial Ratio: Capital Adequacy Ratio data was reported at 19.420 % in 2018. This records an increase from the previous number of 19.240 % for 2017. India Bank of America: Financial Ratio: Capital Adequacy Ratio data is updated yearly, averaging 16.095 % from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 30.070 % in 2005 and a record low of 9.260 % in 1999. India Bank of America: Financial Ratio: Capital Adequacy Ratio data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBR008: Foreign Banks: Selected Financial Ratios: Bank of America.

India Bank of America: Financial Ratio: Net interest Income-Total Aseets data was reported at 3.310 % in 2018. This records an increase from the previous number of 3.170 % for 2017. India Bank of America: Financial Ratio: Net interest Income-Total Aseets data is updated yearly, averaging 3.535 % from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 5.070 % in 2009 and a record low of 2.340 % in 2004. India Bank of America: Financial Ratio: Net interest Income-Total Aseets data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBR008: Foreign Banks: Selected Financial Ratios: Bank of America.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..The 2017-2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

About this dataset

Context

The dataset tabulates the data for the Indian Lake, New York population pyramid, which represents the Indian Lake town population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Indian Lake, New York, is 16.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Indian Lake, New York, is 78.0.
• Total dependency ratio for Indian Lake, New York is 94.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Indian Lake, New York is 1.3.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Indian Lake town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Indian Lake town for the selected age group is shown in the following column.
• Population (Female): The female population in the Indian Lake town for the selected age group is shown in the following column.
• Total Population: The total population of the Indian Lake town for the selected age group is shown in the following column.

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 Indian Lake town Population by Age. You can refer the same here

In 2023, about 26.9 percent of Asian private households in the U.S. had an annual income of 200,000 U.S. dollars and more. Comparatively, around 13.9 percent of Black households had an annual income under 15,000 U.S. dollars.

India Bank of America: Financial Ratio: Burden-Interest Income data was reported at 0.030 % in 2018. This records an increase from the previous number of -17.480 % for 2017. India Bank of America: Financial Ratio: Burden-Interest Income data is updated yearly, averaging -8.965 % from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 3.660 % in 1999 and a record low of -43.790 % in 2010. India Bank of America: Financial Ratio: Burden-Interest Income data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBR008: Foreign Banks: Selected Financial Ratios: Bank of America.

India Bank of America: Financial Ratio: Net Non-Performing Assets-Net Advances data was reported at 0.110 % in 2015. This records an increase from the previous number of 0.050 % for 2003. India Bank of America: Financial Ratio: Net Non-Performing Assets-Net Advances data is updated yearly, averaging 0.180 % from Mar 2000 (Median) to 2015, with 5 observations. The data reached an all-time high of 1.920 % in 2000 and a record low of 0.050 % in 2003. India Bank of America: Financial Ratio: Net Non-Performing Assets-Net Advances data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBR008: Foreign Banks: Selected Financial Ratios: Bank of America.

India Bank of America: Financial Ratio: Non-approved Securities Investments-Total Investments data was reported at 21.340 % in 2018. This records an increase from the previous number of 0.310 % for 2017. India Bank of America: Financial Ratio: Non-approved Securities Investments-Total Investments data is updated yearly, averaging 20.680 % from Mar 1999 (Median) to 2018, with 19 observations. The data reached an all-time high of 44.430 % in 2011 and a record low of 0.310 % in 2017. India Bank of America: Financial Ratio: Non-approved Securities Investments-Total Investments data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBR008: Foreign Banks: Selected Financial Ratios: Bank of America.