Consumer Insurance Experience & Demographic Profile

This dataset provides a detailed view of how individuals engage with insurance products, paired with demographic and lifestyle attributes to enable powerful segmentation, behavioral analysis, and customer journey mapping. By combining real-world insurance experiences with contextual information about each respondent’s background and preferences, this dataset supports a wide range of data-driven decision-making for insurance providers, policy designers, marketing teams, and product strategists.

Value of the Dataset Understanding how consumers perceive and interact with insurance offerings is critical to building products that resonate and services that retain. This dataset offers that visibility across multiple dimensions—capturing not only what type of insurance consumers hold and how they purchased it, but also what drives their satisfaction, loyalty, and likelihood to switch. Paired with demographic details like income, education, family status, and lifestyle, this information becomes a foundation for more personalized outreach, better-designed offerings, and improved customer experiences.

Because the data reflects lived experiences across diverse markets, it is particularly valuable for benchmarking consumer sentiment in emerging economies, identifying service delivery gaps, or evaluating potential uptake of new policy formats such as digital or personalized insurance.

Example Use Cases 1. Targeted Product Design A health insurer looking to launch short-term, digital-first plans could filter this dataset for consumers with low policy tenure, high digital communication preference, and dissatisfaction with current providers. This segment would inform feature design and positioning.

1. Competitive Analysis A provider evaluating churn risk can identify patterns among users who have filed claims but report dissatisfaction—indicating operational areas that may be driving customer loss and where improvements could increase retention.

2. Communication Channel Optimization By analyzing preferred communication methods across different demographic segments, insurers can tailor outreach strategies (e.g., SMS vs. in-app chat) to improve engagement and reduce support costs.

3. Market Expansion & Localization International insurers can explore regional variations in satisfaction drivers, awareness levels, and price sensitivity to refine go-to-market strategies in countries like Senegal, Tanzania, or the UAE.

4. Personalized Policy Offer Design Using data on interest in personalized policies and lifestyle indicators, providers can build customizable offerings for consumers more likely to value flexibility, such as frequent travelers or those with irregular incomes.

Insurance-Specific Fields & Descriptions Current Insurance Type Captures the kind of insurance the individual currently holds, with a focus on health insurance in this dataset.

Purchase Method Indicates how the insurance was obtained—through an agent, online, employer, etc.—to understand acquisition channels.

Policy Length Duration of the current policy, categorized (e.g., less than 1 year, 1–3 years, more than 5 years) to analyze tenure-based behaviors.

Satisfaction Self-reported satisfaction with the current insurance provider, useful for benchmarking sentiment.

Top Factor in Choosing Provider Highlights what influenced the purchase decision most—such as coverage options, customer service, pricing, or brand reputation.

Policy Review Frequency Shows how often individuals revisit their policy details or compare with alternatives, revealing levels of engagement or passive behavior.

Filed Claim A yes/no indicator showing whether the consumer has ever filed a claim, useful for analyzing downstream service experiences.

Claim Satisfaction Measures satisfaction with how past claims were handled, providing insight into operational effectiveness.

Primary Value Sought Captures what consumers value most from their insurance—e.g., peace of mind, financial protection, access to quality care.

Likelihood to Recommend Acts as a proxy for Net Promoter Score (NPS), indicating brand advocacy and potential referral behavior.

Biggest Areas for Improvement Open-ended or multi-select responses identifying where insurers can do better—lower premiums, faster claims, more digital tools, etc.

Preferred Method of Communication Indicates how consumers want to be contacted—via online chat, phone, email, SMS—supporting channel strategy optimization.

Preferred Services Details the types of updates or services consumers want—such as claims status, policy changes, or coverage recommendations.

Insurance Awareness Score Self-reported awareness of how insurance works, including policy options, rights, and terms.

Interest in Personalized Policies Captures whether the individual is open to customized insurance plans, an important indicator for usage-ba...

All data in Population and Demographic Census Data, grouped by overall segment. For data grouped by reporting segment, see Reporting Segments for Population and Demographic Census Data.

Sky Packets provides premium first-party data products derived from public and private Wi-Fi networks strategically deployed across high-footfall environments in Mexico, Ecuador, Peru, and Colombia. Leveraging advanced edge infrastructure, our platform captures real-world behavioral, demographic, and emotional signals to fuel powerful consumer insights.

Our datasets are designed for high-end data buyers who require rich, multidimensional intelligence for advanced modeling, targeting, and optimization across sectors including retail, finance, advertising, and urban planning.

Key Highlights

Data Types: Demographic Data, Behavioral Segmentation, Retail Footfall, Points of Interest (POI), and Sentiment Data (captured via AI-enhanced sensors and contextual cues)

Capture Method: First-party data collected through Sky Packets' public and private Wi-Fi infrastructure, embedded across smart city zones, public plazas, and commercial corridors

Geographic Coverage: Mexico, Ecuador, Peru, and Colombia

Delivery Formats: CSV, JSON

Frequency: Weekly or Monthly refresh options are available

Use Cases:

• Retail site selection & competitive benchmarking

• Consumer journey mapping & attribution modeling

• Sentiment trend analysis & predictive demand modeling

• Smart city infrastructure planning

Cross-border investment intelligence

Why Sky Packets?

With a strong reputation for delivering clean, high-granularity datasets from hard-to-source regions, Sky Packets empowers data-driven decisions for enterprise leaders and analysts who demand precision and scale.

The Soft Meal and Care Food market has emerged as a vital segment within the broader food industry, catering to the specific dietary needs of various demographic groups, including the elderly, individuals with chewing or swallowing difficulties, and patients recovering from surgery. These specialized meals are desig

Annual Resident Population Estimates by Age Group, Sex, Race, and Hispanic Origin: April 1, 2010 to July 1, 2018 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through June. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. For more information, see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/modified-race-summary-file-method/mrsf2010.pdf. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2017) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html.

The statistic represents the results of a 2016 survey about who is using ride sharing in the United States. In 2016, some 43 percent of respondents in urban dwellings aged 16 and older confirmed to use ride sharing.

Pairwise comparisons of age groups using chi-square statistics.

About this dataset

Context

The dataset tabulates the Waddington town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Waddington town. The dataset can be utilized to understand the population distribution of Waddington town by age. For example, using this dataset, we can identify the largest age group in Waddington town.

Key observations

The largest age group in Waddington Town, New York was for the group of age 50 to 54 years years with a population of 206 (9.86%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Waddington Town, New York was the 80 to 84 years years with a population of 49 (2.35%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

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 in consideration
• Population: The population for the specific age group in the Waddington town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Waddington town total 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 Waddington town Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the West College Corner, IN population pyramid, which represents the West College Corner population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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 West College Corner, IN, is 32.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for West College Corner, IN, is 31.2.
• Total dependency ratio for West College Corner, IN is 63.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for West College Corner, IN is 3.2.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 West College Corner population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the West College Corner for the selected age group is shown in the following column.
• Population (Female): The female population in the West College Corner for the selected age group is shown in the following column.
• Total Population: The total population of the West College Corner 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 West College Corner Population by Age. You can refer the same here

The Life and Health (L&H) Insurance industry is experiencing a rapid transformation driven by the increasing adoption of data analytics. The market, valued at $2647.3 million in 2025, is projected to grow at a Compound Annual Growth Rate (CAGR) of 9.2% from 2025 to 2033. This robust growth is fueled by several key factors. Firstly, the need for improved risk assessment and underwriting is pushing insurers to leverage advanced analytics for predictive modeling. This allows for more accurate pricing, reduced fraud, and better customer segmentation. Secondly, demographic profiling enabled by data analytics helps insurers tailor products and services to specific customer needs, leading to increased customer satisfaction and retention. Data visualization tools further enhance decision-making by providing clear and concise insights into complex datasets, facilitating better strategy development and operational efficiency. Finally, the rise of Insurtech companies and the increasing availability of sophisticated software solutions are accelerating the adoption of data analytics across the L&H insurance sector. The competitive landscape is shaped by a mix of established players like Deloitte, SAP AG, and IBM, alongside specialized Insurtech firms offering innovative data analytics solutions. The segmentation of the market reveals significant opportunities across various applications and types. Predictive analysis, demographic profiling, and data visualization are the most prominent application segments, reflecting the industry's focus on risk management, customer understanding, and improved operational efficiency. The service and software segments represent the primary delivery models for data analytics solutions. While North America currently holds a dominant market share, regions like Asia-Pacific are experiencing rapid growth, driven by increasing digitalization and a rising middle class with growing insurance needs. Regulatory changes promoting data sharing and increased customer data privacy awareness are likely to influence market dynamics in the coming years. The key challenges include data security concerns, the need for skilled data scientists, and the integration of legacy systems with new data analytics platforms. Successfully navigating these challenges will be crucial for insurers to fully capitalize on the transformative potential of data analytics.

This feature layer of Tempe's Census block groups are joined with the Census Bureau's data from the 2018 Planning Database (PDB), which was established to prepare for the upcoming 2020 Census. The 2018 PDB contains select operational, demographic, and socio-economic statistics from the 2010 Census and the 2012-2016 5-year ACS.For more information, see the United States Census Bureau 2018 Planning Database:https://www.census.gov/topics/research/guidance/planning-databases.html.

Vintage 2024 Population projections by race, sex and age group for North Carolina. Includes population by race (American Indian/Alaska Native), Asian, Black, White, Other (includes persons identified as two or more races).

About this dataset

Context

The dataset tabulates the Yachats population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Yachats. The dataset can be utilized to understand the population distribution of Yachats by age. For example, using this dataset, we can identify the largest age group in Yachats.

Key observations

The largest age group in Yachats, OR was for the group of age 70 to 74 years years with a population of 135 (15.32%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Yachats, OR was the 25 to 29 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

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 in consideration
• Population: The population for the specific age group in the Yachats is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Yachats total 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 Yachats Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Winterset population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Winterset. The dataset can be utilized to understand the population distribution of Winterset by age. For example, using this dataset, we can identify the largest age group in Winterset.

Key observations

The largest age group in Winterset, IA was for the group of age 5 to 9 years years with a population of 595 (11.05%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Winterset, IA was the 60 to 64 years years with a population of 162 (3.01%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

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 in consideration
• Population: The population for the specific age group in the Winterset is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Winterset total 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 Winterset Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Wessington Springs, SD population pyramid, which represents the Wessington Springs population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Wessington Springs, SD, is 26.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Wessington Springs, SD, is 97.3.
• Total dependency ratio for Wessington Springs, SD is 123.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Wessington Springs, SD is 1.0.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Wessington Springs population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Wessington Springs for the selected age group is shown in the following column.
• Population (Female): The female population in the Wessington Springs for the selected age group is shown in the following column.
• Total Population: The total population of the Wessington Springs 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 Wessington Springs Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Willamina population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Willamina. The dataset can be utilized to understand the population distribution of Willamina by age. For example, using this dataset, we can identify the largest age group in Willamina.

Key observations

The largest age group in Willamina, OR was for the group of age 10 to 14 years years with a population of 227 (10.24%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Willamina, OR was the 80 to 84 years years with a population of 3 (0.14%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

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 in consideration
• Population: The population for the specific age group in the Willamina is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Willamina total 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 Willamina Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Vevay, IN population pyramid, which represents the Vevay 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 Vevay, IN, is 33.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Vevay, IN, is 30.1.
• Total dependency ratio for Vevay, IN is 63.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Vevay, IN is 3.3.

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 Vevay population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Vevay for the selected age group is shown in the following column.
• Population (Female): The female population in the Vevay for the selected age group is shown in the following column.
• Total Population: The total population of the Vevay 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 Vevay Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Wasco, OR population pyramid, which represents the Wasco population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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 Wasco, OR, is 19.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Wasco, OR, is 60.7.
• Total dependency ratio for Wasco, OR is 80.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Wasco, OR is 1.6.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Wasco population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Wasco for the selected age group is shown in the following column.
• Population (Female): The female population in the Wasco for the selected age group is shown in the following column.
• Total Population: The total population of the Wasco 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 Wasco Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the West Point population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for West Point. The dataset can be utilized to understand the population distribution of West Point by age. For example, using this dataset, we can identify the largest age group in West Point.

Key observations

The largest age group in West Point, KY was for the group of age 5 to 9 years years with a population of 143 (12.64%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in West Point, KY was the 70 to 74 years years with a population of 19 (1.68%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

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 in consideration
• Population: The population for the specific age group in the West Point is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of West Point total 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 West Point Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the West Hampton Dunes population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for West Hampton Dunes. The dataset can be utilized to understand the population distribution of West Hampton Dunes by age. For example, using this dataset, we can identify the largest age group in West Hampton Dunes.

Key observations

The largest age group in West Hampton Dunes, NY was for the group of age 55 to 59 years years with a population of 39 (38.61%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in West Hampton Dunes, NY was the Under 5 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

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 in consideration
• Population: The population for the specific age group in the West Hampton Dunes is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of West Hampton Dunes total 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 West Hampton Dunes Population by Age. You can refer the same here