Oxford, IN Population by Gender

The total population of Oxford is estimated to be 1,561 with 699 males (44.78%) and 862 females (55.22%). There are 163 more females than males in Oxford.
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Updated Jul 27, 2024
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Oxford, IN population by gender, in percentage

The female percentage in the USA is 50.41% while the male percentage is 49.59%, compared to 55.22% females and 44.78% males in Oxford, IN.

The above comparison shows there are more females than males in the Oxford town as compared to the nation.

FIGURE 1

Oxford, IN population by gender.

There is a majority of female population, with 55.22% of total population being female.

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

Oxford, IN gender ratio

Gender Ratio:
81.1
Men
100
Women

Sources: U.S. Census Bureau, American Community Survey (ACS) 2021

In Oxford, IN, there are less men than women. The Oxford, IN gender ratio is 81.1:100 i.e. 81.1 men to 100 women (0.811).

This ratio is lower than the national average of 98.4:100 i.e 98.4 men to 100 women (0.984).

Oxford, IN gender ratio by age

In Oxford, IN, the sex ratio for children under 18 years is 88.5 boys per 100 girls (88.5:100).Having said that, for seniors aged 80 and older, there are 29.2 males per 100 females (29.2:100).

On the national level, the sex ratio (male per 100 females) for under 18 age group is 104.9:100, and 63.4:100 for the senior population 80 years and older.

Oxford, IN gender ratio by age

The table below lists the male and female population in each age group along with the gender ratio for Oxford, IN.

Age Group Population (Male) Population (Female) Gender Ratio
Under 5 years 60 93 0.65
5 to 9 years 59 44 1.34
10 to 14 years 74 69 1.07
15 to 19 years 22 53 0.42
20 to 24 years 38 43 0.88
25 to 29 years 70 49 1.43
30 to 34 years 48 57 0.84
35 to 39 years 59 72 0.82
40 to 44 years 17 73 0.23
45 to 49 years 44 12 3.67
50 to 54 years 38 43 0.88
55 to 59 years 65 35 1.86
60 to 64 years 34 85 0.40
65 to 69 years 18 42 0.43
70 to 74 years 14 36 0.39
75 to 79 years 32 32 1.00
80 to 84 years 7 15 0.47
85 years and over 0 9
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Interesting observation from the above table:

  • The sex ratio at birth is 0.645 i.e. 64.5 boys per 100 girls.
  • For the 60-64 years, the sex ratio is 0.400 i.e. 60.0 less men per 100 women.
  • While for senior most population of 85+ age group, the sex ratio is abnormal as there is no male senior population.

Oxford, IN population by gender & age

For male population, the largest age group is 10-14 years with a population of 74. Whereas, for the female population, the largest age group is 0-4 years with a population of 93.

As you can note from the above numbers, the largest age group for men and women are different.

FIGURE 2

Oxford, IN population by gender and age.

Largest age group (population): Male # 10-14 years (74) | Female # 0-4 years (93).

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

Under the age of 5, there are 60 boys and 93 girls in Oxford, IN. Thus there are 33 less boys than girls under the age of 5.

Between the age group of 60-64 years, there are 34 males and 85 females in Oxford, IN. Thus there are 51 less males than females between the age of 60 and 64 years.

For the senior most age group of 85+ years, there are 0 males and 9 females.

Things to know

What percent of Oxford, IN is female?

According to the ACS survey, of the total Oxford, IN population of 1,561, 55.22% percent are females.

What percentage of Oxford, IN is male?

According to the ACS survey, of the total Oxford, IN population of 1,561, 44.78% percent are males.

What is the male to female ratio in Oxford, IN?

In Oxford, IN, the male to female ratio is 81.1:100 i.e. 81.1 men to 100 women (0.811).

References

Datasets

Explore datasets by year of publication.
2024
Oxford, IN Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2024 Edition
Last updated February 19, 2024
ACS
Free
Neilsberg
CSV, JSON
2018-2022
CC BY 4.0
About this dataset

Context

The dataset tabulates the population of Oxford by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Oxford across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 55.22% of total population being female. 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.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

  • Gender: This column displays the Gender (Male / Female)
  • Population: The population of the gender in the Oxford is shown in this column.
  • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Oxford 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 Oxford Population by Race & Ethnicity. You can refer the same here

Oxford, IN Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2024 Edition
Last updated February 19, 2024
ACS
Free
Neilsberg
CSV, JSON
2018-2022
CC BY 4.0
About this dataset

Context

The dataset tabulates the population of Oxford by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Oxford. The dataset can be utilized to understand the population distribution of Oxford by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Oxford. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Oxford.

Key observations

Largest age group (population): Male # 10-14 years (74) | Female # 0-4 years (93). 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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

  • Age Group: This column displays the age group for the Oxford population analysis. Total expected values are 18 and are define above in the age groups section.
  • Population (Male): The male population in the Oxford is shown in the following column.
  • Population (Female): The female population in the Oxford is shown in the following column.
  • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Oxford for each age group.

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 Oxford Population by Gender. 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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