Hurricane, WV Population by Age

The median age in Hurricane, WV is 39.8, as per 2018-2022 ACS 5 -Year Estimates. Of the total population, 17.33% were under the age of 15, 19.68% aged 15 to 29, 41.13% aged 30 to 64, 19.17% aged 65 to 84, and 2.69% were 85 years of age and older.
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Updated Jul 26, 2024

Hurricane, WV population age distributions

A complete breakdown of Hurricane's age demographics from 0 to 85 years, distributed across 18 age groups is listed in the table below.

Age Group Population % of Total Population
Under 5 years 437 6.33%
5 to 9 years 340 4.92%
10 to 14 years 420 6.08%
15 to 19 years 460 6.66%
20 to 24 years 375 5.43%
25 to 29 years 524 7.59%
30 to 34 years 366 5.3%
35 to 39 years 561 8.12%
40 to 44 years 396 5.73%
45 to 49 years 412 5.96%
50 to 54 years 603 8.73%
55 to 59 years 211 3.05%
60 to 64 years 293 4.24%
65 to 69 years 716 10.36%
70 to 74 years 285 4.13%
75 to 79 years 216 3.13%
80 to 84 years 107 1.55%
85 years and over 186 2.69%
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Hurricane, WV population by age group

Key stats
2,032
Population under 25 years
1,847
Population aged 25-44
1,519
Population aged 45-64
1,510
Population aged 65+

Sources: U.S. Census Bureau, American Community Survey (ACS) 2018-2022

FIGURE 1

Hurricane, WV population by age group.

The largest age group is 65 to 69 years with a population of 716 (10.36% of the total population).

Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

The largest age group in Hurricane, WV was for the group of age 65 to 69 years with a population of 716 (10.36%), according to the 2018-2022 American Community Survey.

At the same time, the smallest age group in Hurricane, WV was the 80 to 84 years with a population of 107 (1.55%).

Hurricane, WV population by age cohort

To better understand the age distribution of Hurricane, WV's population, we divided it into the following 3 cohorts:

  • Children : Under the age of 18 years
  • Adults (working population): Between the age of 18 and 64 years
  • Seniors: 65 years and above

FIGURE 2

Hurricane, WV population by age cohort

The largest age group was 18 to 64 years with a population of 3,830 (55.44% of the total population).

Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Hurricane, WV population by age cohort

Here's the population for each of the three cohorts.

Age Group Population % of Total Population
Under 18 years 1,568 22.7%
18 to 64 years 3,830 55.44%
65 years and over 1,510 21.86%
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Key stats for each age cohort as per our analysis of U.S. Census Bureau American Community Survey:

  • Hurricane 's population under 18 was 22.70%, compared to the 22.11% nationwide.
  • Hurricane's working population (between 18 and 64) was 55.44%, compared to 61.36% nationwide.
  • Hurricane's elderly or the senior population (over 65 age) was 21.86% as compared to 16.53% nationwide.

Hurricane, WV population pyramid

Population pyramid for Hurricane, WV is charted below using the estimates from U.S. Census Bureau's American Community Survey 5-Year estimates. A wide base suggests population increase, narrow base indicates declining birth rates.

Key stats from our analysis of the Hurricane's population pyramid:

  • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Hurricane, WV, is 28.5.
  • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Hurricane, WV, is 35.9.
  • Total dependency ratio for Hurricane, WV is 64.4.
  • Potential support ratio, which is the number of youth (working age population) per elderly, for Hurricane, WV is 2.8.

FIGURE 3

Hurricane, WV population pyramid

Hurricane population distrubution across age and gender. A wide base suggests population increase, narrow base indicates declining birth rates.

Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Hurricane, WV population pyramid

Here's the Hurricane, WV's male and female population across different age groups .

Age Group Population(Male) Population(Female) Total Population
Under 5 years 227 210 437
5 to 9 years 208 132 340
10 to 14 years 218 202 420
15 to 19 years 244 216 460
20 to 24 years 120 255 375
25 to 29 years 190 334 524
30 to 34 years 168 198 366
35 to 39 years 296 265 561
40 to 44 years 212 184 396
45 to 49 years 180 232 412
50 to 54 years 336 267 603
55 to 59 years 96 115 211
60 to 64 years 70 223 293
65 to 69 years 311 405 716
70 to 74 years 112 173 285
75 to 79 years 109 107 216
80 to 84 years 21 86 107
85 years and over 11 175 186
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Things to know

What is the population of Hurricane, WV under 18?

Hurricane's population under the age of 18 is 1,568, as per the latest U.S. Census Bureau's American Community Survey estimates. This population is 22.70% of the total resident population of Hurricane, WV.

What is the aging population in Hurricane, WV?

Hurricane's population aged 65 years and above was 1,510. As per the U.S. Census Bureau's American Community Survey, this population is 21.86% of the entire population.

References

Datasets

Explore datasets by year of publication.
2024
Hurricane, WV Age Group Population Dataset: A Complete Breakdown of Hurricane Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2024 Edition
Last updated July 24, 2024
ACS
Free
Neilsberg
CSV, JSON
2018-2022
CC BY 4.0
About this dataset

Context

The dataset tabulates the Hurricane 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 Hurricane. The dataset can be utilized to understand the population distribution of Hurricane by age. For example, using this dataset, we can identify the largest age group in Hurricane.

Key observations

The largest age group in Hurricane, WV was for the group of age 65 to 69 years years with a population of 716 (10.36%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Hurricane, WV was the 80 to 84 years years with a population of 107 (1.55%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

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

Hurricane, WV Age Cohorts Dataset: Children, Working Adults, and Seniors in Hurricane - Population and Percentage Analysis // 2024 Edition
Last updated July 24, 2024
ACS
Free
Neilsberg
CSV, JSON
2018-2022
CC BY 4.0
About this dataset

Context

The dataset tabulates the Hurricane population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Hurricane. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 3,830 (55.44% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age cohorts:

  • Under 18 years
  • 18 to 64 years
  • 65 years and over

Variables / Data Columns

  • Age Group: This column displays the age cohort for the Hurricane population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
  • Population: The population for the age cohort in Hurricane is shown in the following column.
  • Percent of Total Population: The population as a percent of total population of the Hurricane 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 Hurricane Population by Age. You can refer the same here

Hurricane, WV Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2024 Edition
Last updated July 24, 2024
ACS
Free
Neilsberg
CSV, JSON
2018-2022
CC BY 4.0
About this dataset

Context

The dataset tabulates the data for the Hurricane, WV population pyramid, which represents the Hurricane 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 Hurricane, WV, is 28.5.
  • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Hurricane, WV, is 35.9.
  • Total dependency ratio for Hurricane, WV is 64.4.
  • Potential support ratio, which is the number of youth (working age population) per elderly, for Hurricane, WV is 2.8.
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 Hurricane population analysis. Total expected values are 18 and are define above in the age groups section.
  • Population (Male): The male population in the Hurricane for the selected age group is shown in the following column.
  • Population (Female): The female population in the Hurricane for the selected age group is shown in the following column.
  • Total Population: The total population of the Hurricane 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 Hurricane Population by Age. You can refer the same here

If you're looking for datasets from another year, please feel free to contact us at research@neilsberg.com and we'll be happy to assist you further.

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Neilsberg Research
Neilsberg Research team are data scientists with expertise in processing, analysis and visualization of big data helping small businesses make right decisions.

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