Zip Code 41731
Zip Code 41731 Map

Zip Code 41731 Overview
786
TOTAL POPULATION
341
MALE POPULATION
445
FEMALE POPULATION
76.63
MALES / 100 FEMALES
130.50
FEMALES / 100 MALES
56.6
MEDIAN AGE
2.4
AVG FAMILY SIZE
2.2
AVG HOUSEHOLD SIZE
$24,142
PER CAPITA INCOME
$49,408
AVG FAMILY INCOME
$30,938
AVG HOUSEHOLD INCOME
32.4%
WAGE / INCOME GAP [ % ]
67.6¢/ $1
WAGE / INCOME GAP [ $ ]
0.50
INEQUALITY / GINI INDEX
207
LABOR FORCE [ PEOPLE ]
27.8%
PERCENT IN LABOR FORCE
19.3%
UNEMPLOYMENT RATE
Race in Zip Code 41731
The most populous races in Zip Code 41731 are White / Caucasian (786 | 100.0%), and Hispanic or Latino (8 | 1.0%).

Race | # Population | % Population |
Asian | 0 | 0.0% |
Black / African American | 0 | 0.0% |
Hawaiian / Pacific | 0 | 0.0% |
Hispanic or Latino | 8 | 1.0% |
Native / Alaskan | 0 | 0.0% |
White / Caucasian | 786 | 100.0% |
Two or more Races | 0 | 0.0% |
Some other Race | 0 | 0.0% |
Total | 786 | 100.0% |
Ancestry in Zip Code 41731
The most populous ancestries reported in Zip Code 41731 are American (136 | 17.3%), Irish (51 | 6.5%), German (47 | 6.0%), English (36 | 4.6%), and Scottish (21 | 2.7%), together accounting for 37.0% of all Zip Code 41731 residents.
Race | # Population | % Population |
American | 136 | 17.3% |
English | 36 | 4.6% |
French | 9 | 1.1% |
German | 47 | 6.0% |
Irish | 51 | 6.5% |
Polish | 10 | 1.3% |
Scottish | 21 | 2.7% | View All 7 Rows |
Sex and Age in Zip Code 41731
Sex and Age in Zip Code 41731
The most populous age groups in Zip Code 41731 are 50 to 54 Years (60 | 17.6%) for men and 60 to 64 Years (63 | 14.2%) for women.
Age Bracket | Male | Female |
Under 5 Years | 0 (0.0%) | 0 (0.0%) |
5 to 9 Years | 13 (3.8%) | 0 (0.0%) |
10 to 14 Years | 4 (1.2%) | 9 (2.0%) |
15 to 19 Years | 3 (0.9%) | 21 (4.7%) |
20 to 24 Years | 41 (12.0%) | 32 (7.2%) |
25 to 29 Years | 0 (0.0%) | 30 (6.7%) |
30 to 34 Years | 0 (0.0%) | 7 (1.6%) |
35 to 39 Years | 0 (0.0%) | 3 (0.7%) |
40 to 44 Years | 32 (9.4%) | 26 (5.8%) |
45 to 49 Years | 14 (4.1%) | 21 (4.7%) |
50 to 54 Years | 60 (17.6%) | 59 (13.3%) |
55 to 59 Years | 14 (4.1%) | 32 (7.2%) |
60 to 64 Years | 41 (12.0%) | 63 (14.2%) |
65 to 69 Years | 45 (13.2%) | 22 (4.9%) |
70 to 74 Years | 8 (2.4%) | 46 (10.3%) |
75 to 79 Years | 20 (5.9%) | 17 (3.8%) |
80 to 84 Years | 6 (1.8%) | 31 (7.0%) |
85 Years and over | 40 (11.7%) | 26 (5.8%) |
Total | 341 (100.0%) | 445 (100.0%) |
Families and Households in Zip Code 41731
Median Family Size in Zip Code 41731

Family Type | # Families | Family Size |
Married-Couple | 197 (83.1%) | 2.34 |
Single Male/Father | 0 (0.0%) | - |
Single Female/Mother | 40 (16.9%) | 2.75 |
Total Families | 237 (100.0%) | 2.41 |
Median Household Size in Zip Code 41731

Household Type | # Households | Household Size |
Married-Couple | 197 (55.5%) | 2.43 |
Single Male/Father | 0 (0.0%) | - |
Single Female/Mother | 40 (11.3%) | 4.48 |
Non-family | 118 (33.2%) | 1.08 |
Total Households | 355 (100.0%) | 2.21 |
Household Size by Marriage Status in Zip Code 41731
Out of a total of 355 households in Zip Code 41731, 237 (66.8%) are family households, while 118 (33.2%) are nonfamily households. The most numerous type of family households are 2-person households, comprising 144, and the most common type of nonfamily households are 1-person households, comprising 112.

Household Size | Family Households | Nonfamily Households |
1-Person Households | - | 112 (31.6%) |
2-Person Households | 144 (40.6%) | 6 (1.7%) |
3-Person Households | 63 (17.7%) | 0 (0.0%) |
4-Person Households | 13 (3.7%) | 0 (0.0%) |
5-Person Households | 17 (4.8%) | 0 (0.0%) |
6-Person Households | 0 (0.0%) | 0 (0.0%) |
7+ Person Households | 0 (0.0%) | 0 (0.0%) |
Total | 237 (66.8%) | 118 (33.2%) |
Female Fertility in Zip Code 41731
Fertility by Age in Zip Code 41731

Age Bracket | Women with Births | Births / 1,000 Women |
15 to 19 years | 0 (0.0%) | 0.0 |
20 to 34 years | 0 (0.0%) | 0.0 |
35 to 50 years | 0 (0.0%) | 0.0 |
Total | 0 (0.0%) | 0.0 |
Fertility by Age by Marriage Status in Zip Code 41731

Age Bracket | Married | Unmarried |
15 to 19 years | 0 (0.0%) | 0 (0.0%) |
20 to 34 years | 0 (0.0%) | 0 (0.0%) |
35 to 50 years | 0 (0.0%) | 0 (0.0%) |
Total | 0 (0.0%) | 0 (0.0%) |
Fertility by Education in Zip Code 41731

Educational Attainment | Women with Births | Births / 1,000 Women |
Less than High School | 0 (0.0%) | 0.0 |
High School Diploma | 0 (0.0%) | 0.0 |
College or Associate's Degree | 0 (0.0%) | 0.0 |
Bachelor's Degree | 0 (0.0%) | 0.0 |
Graduate Degree | 0 (0.0%) | 0.0 |
Total | 0 (0.0%) | 0.0 |
Fertility by Education by Marriage Status in Zip Code 41731

Educational Attainment | Married | Unmarried |
Less than High School | 0 (0.0%) | 0 (0.0%) |
High School Diploma | 0 (0.0%) | 0 (0.0%) |
College or Associate's Degree | 0 (0.0%) | 0 (0.0%) |
Bachelor's Degree | 0 (0.0%) | 0 (0.0%) |
Graduate Degree | 0 (0.0%) | 0 (0.0%) |
Total | 0 (0.0%) | 0 (0.0%) |
Income in Zip Code 41731
Income Overview in Zip Code 41731
Per Capita Income in Zip Code 41731 is $24,142, while median incomes of families and households are $49,408 and $30,938 respectively.
Characteristic | Number | Measure |
Per Capita Income | 786 | $24,142 |
Median Family Income | 237 | $49,408 |
Mean Family Income | 237 | $64,337 |
Median Household Income | 355 | $30,938 |
Mean Household Income | 355 | $51,267 |
Income Deficit | 237 | $0 |
Wage / Income Gap (%) | 786 | 32.36% |
Wage / Income Gap ($) | 786 | 67.64¢ per $1 |
Gini / Inequality Index | 786 | 0.50 |
Earnings by Sex in Zip Code 41731
Average Earnings in Zip Code 41731 are $41,292, $59,875 for men and $40,500 for women, a difference of 32.4%.

Sex | Number | Average Earnings |
Male | 97 (46.4%) | $59,875 |
Female | 112 (53.6%) | $40,500 |
Total | 209 (100.0%) | $41,292 |
Earnings by Sex by Income Bracket in Zip Code 41731
The most common earnings brackets in Zip Code 41731 are $65,000 to $74,999 for men (28 | 28.9%) and $40,000 to $44,999 for women (30 | 26.8%).

Income | Male | Female |
$2,499 or less | 0 (0.0%) | 5 (4.5%) |
$2,500 to $4,999 | 3 (3.1%) | 15 (13.4%) |
$5,000 to $7,499 | 0 (0.0%) | 0 (0.0%) |
$7,500 to $9,999 | 15 (15.5%) | 0 (0.0%) |
$10,000 to $12,499 | 6 (6.2%) | 7 (6.2%) |
$12,500 to $14,999 | 0 (0.0%) | 0 (0.0%) |
$15,000 to $17,499 | 0 (0.0%) | 0 (0.0%) |
$17,500 to $19,999 | 0 (0.0%) | 0 (0.0%) |
$20,000 to $22,499 | 6 (6.2%) | 13 (11.6%) |
$22,500 to $24,999 | 0 (0.0%) | 0 (0.0%) |
$25,000 to $29,999 | 9 (9.3%) | 10 (8.9%) |
$30,000 to $34,999 | 0 (0.0%) | 0 (0.0%) |
$35,000 to $39,999 | 0 (0.0%) | 0 (0.0%) |
$40,000 to $44,999 | 0 (0.0%) | 30 (26.8%) |
$45,000 to $49,999 | 0 (0.0%) | 0 (0.0%) |
$50,000 to $54,999 | 0 (0.0%) | 3 (2.7%) |
$55,000 to $64,999 | 16 (16.5%) | 13 (11.6%) |
$65,000 to $74,999 | 28 (28.9%) | 0 (0.0%) |
$75,000 to $99,999 | 14 (14.4%) | 7 (6.2%) |
$100,000+ | 0 (0.0%) | 9 (8.0%) |
Total | 97 (100.0%) | 112 (100.0%) |
Earnings by Sex by Educational Attainment in Zip Code 41731

Educational Attainment | Male Income | Female Income |
Less than High School | - | - |
High School Diploma | - | - |
College or Associate's Degree | - | - |
Bachelor's Degree | - | - |
Graduate Degree | - | - |
Total | - | - |
Family Income in Zip Code 41731
Family Income Brackets in Zip Code 41731
According to the Zip Code 41731 family income data, there are 63 families falling into the $100,000 to $149,999 income range, which is the most common income bracket and makes up 26.6% of all families.

Income Bracket | # Families | % Families |
Less than $10,000 | 28 | 11.8% |
$10,000 to $14,999 | 6 | 2.5% |
$15,000 to $24,999 | 41 | 17.3% |
$25,000 to $34,999 | 8 | 3.4% |
$35,000 to $49,999 | 40 | 16.9% |
$50,000 to $74,999 | 30 | 12.7% |
$75,000 to $99,999 | 11 | 4.6% |
$100,000 to $149,999 | 63 | 26.6% |
$150,000 to $199,999 | 0 | 0.0% |
$200,000+ | 10 | 4.2% |
Family Income by Famaliy Size in Zip Code 41731
2-person families (166 | 70.0%) account for the highest median family income in Zip Code 41731 with $48,947 per family, while 2-person families (166 | 70.0%) have the highest median income of $24,474 per family member.

Income Bracket | # Families | Median Income |
2-Person Families | 166 (70.0%) | $48,947 |
3-Person Families | 68 (28.7%) | $0 |
4-Person Families | 0 (0.0%) | $0 |
5-Person Families | 3 (1.3%) | $0 |
6-Person Families | 0 (0.0%) | $0 |
7+ Person Families | 0 (0.0%) | $0 |
Total | 237 (100.0%) | $49,408 |
Family Income by Number of Earners in Zip Code 41731

Number of Earners | # Families | Median Income |
No Earners | 114 (48.1%) | $21,563 |
1 Earner | 60 (25.3%) | $46,667 |
2 Earners | 63 (26.6%) | $111,619 |
3+ Earners | 0 (0.0%) | $0 |
Total | 237 (100.0%) | $49,408 |
Household Income in Zip Code 41731
Household Income Brackets in Zip Code 41731
With 80 households falling in the category, the $15,000 to $24,999 income range is the most frequent in Zip Code 41731, accounting for 22.5% of all households.

Income Bracket | # Households | % Households |
Less than $10,000 | 57 | 16.1% |
$10,000 to $14,999 | 39 | 11.0% |
$15,000 to $24,999 | 80 | 22.5% |
$25,000 to $34,999 | 8 | 2.3% |
$35,000 to $49,999 | 31 | 8.7% |
$50,000 to $74,999 | 36 | 10.1% |
$75,000 to $99,999 | 31 | 8.7% |
$100,000 to $149,999 | 63 | 17.7% |
$150,000 to $199,999 | 0 | 0.0% |
$200,000+ | 10 | 2.8% |
Household Income by Householder Age in Zip Code 41731
The median household income in Zip Code 41731 is $30,938, with the highest median household income of $111,375 found in the 25 to 44 years age bracket for the primary householder. A total of 47 households (13.2%) fall into this category.

Income Bracket | # Households | Median Income |
15 to 24 Years | 0 (0.0%) | $0 |
25 to 44 Years | 47 (13.2%) | $111,375 |
45 to 64 Years | 196 (55.2%) | $20,893 |
65+ Years | 112 (31.6%) | $23,333 |
Total | 355 (100.0%) | $30,938 |
Poverty in Zip Code 41731
Income Below Poverty by Sex and Age in Zip Code 41731
With 25.2% poverty level for males and 35.3% for females among the residents of Zip Code 41731, 75 year old and over males and 18 to 24 year old females are the most vulnerable to poverty, with 34 males (51.5%) and 32 females (84.2%) in their respective age groups living below the poverty level.

Age Bracket | Male | Female |
Under 5 Years | 0 (0.0%) | 0 (0.0%) |
5 Years | 0 (0.0%) | 0 (0.0%) |
6 to 11 Years | 0 (0.0%) | 0 (0.0%) |
12 to 14 Years | 0 (0.0%) | 0 (0.0%) |
15 Years | 0 (0.0%) | 9 (60.0%) |
16 and 17 Years | 0 (0.0%) | 0 (0.0%) |
18 to 24 Years | 10 (22.7%) | 32 (84.2%) |
25 to 34 Years | 0 (0.0%) | 0 (0.0%) |
35 to 44 Years | 7 (21.9%) | 0 (0.0%) |
45 to 54 Years | 12 (16.2%) | 42 (52.5%) |
55 to 64 Years | 23 (41.8%) | 56 (59.0%) |
65 to 74 Years | 0 (0.0%) | 10 (14.7%) |
75 Years and over | 34 (51.5%) | 5 (6.8%) |
Total | 86 (25.2%) | 154 (35.3%) |
Income Above Poverty by Sex and Age in Zip Code 41731
According to the poverty statistics in Zip Code 41731, males aged 6 to 11 years and females aged 25 to 34 years are the age groups that are most secure financially, with 100.0% of males and 100.0% of females in these age groups living above the poverty line.

Age Bracket | Male | Female |
Under 5 Years | 0 (0.0%) | 0 (0.0%) |
5 Years | 0 (0.0%) | 0 (0.0%) |
6 to 11 Years | 13 (100.0%) | 0 (0.0%) |
12 to 14 Years | 4 (100.0%) | 0 (0.0%) |
15 Years | 0 (0.0%) | 6 (40.0%) |
16 and 17 Years | 0 (0.0%) | 0 (0.0%) |
18 to 24 Years | 34 (77.3%) | 6 (15.8%) |
25 to 34 Years | 0 (0.0%) | 37 (100.0%) |
35 to 44 Years | 25 (78.1%) | 29 (100.0%) |
45 to 54 Years | 62 (83.8%) | 38 (47.5%) |
55 to 64 Years | 32 (58.2%) | 39 (41.0%) |
65 to 74 Years | 53 (100.0%) | 58 (85.3%) |
75 Years and over | 32 (48.5%) | 69 (93.2%) |
Total | 255 (74.8%) | 282 (64.7%) |
Income Below Poverty Among Married-Couple Families in Zip Code 41731
The poverty statistics for married-couple families in Zip Code 41731 show that 16.2% or 32 of the total 197 families live below the poverty line. Families with no children have the highest poverty rate of 17.7%, comprising of 32 families. On the other hand, families with 1 or 2 children have the lowest poverty rate of 0.0%, which includes 0 families.

Children | Above Poverty | Below Poverty |
No Children | 149 (82.3%) | 32 (17.7%) |
1 or 2 Children | 16 (100.0%) | 0 (0.0%) |
3 or 4 Children | 0 (0.0%) | 0 (0.0%) |
5 or more Children | 0 (0.0%) | 0 (0.0%) |
Total | 165 (83.8%) | 32 (16.2%) |
Income Below Poverty Among Single-Parent Households in Zip Code 41731

Children | Single Father | Single Mother |
No Children | 0 (0.0%) | 15 (40.5%) |
1 or 2 Children | 0 (0.0%) | 0 (0.0%) |
3 or 4 Children | 0 (0.0%) | 0 (0.0%) |
5 or more Children | 0 (0.0%) | 0 (0.0%) |
Total | 0 (0.0%) | 15 (37.5%) |
Income Below Poverty Among Married-Couple vs Single-Parent Households in Zip Code 41731
The poverty data for Zip Code 41731 shows that 32 of the married-couple family households (16.2%) and 15 of the single-parent households (37.5%) are living below the poverty level. Within the married-couple family households, those with no children have the highest poverty rate, with 32 households (17.7%) falling below the poverty line. Among the single-parent households, those with no children have the highest poverty rate, with 15 household (40.5%) living below poverty.

Children | Married-Couple Families | Single-Parent Households |
No Children | 32 (17.7%) | 15 (40.5%) |
1 or 2 Children | 0 (0.0%) | 0 (0.0%) |
3 or 4 Children | 0 (0.0%) | 0 (0.0%) |
5 or more Children | 0 (0.0%) | 0 (0.0%) |
Total | 32 (16.2%) | 15 (37.5%) |
Employment Characteristics in Zip Code 41731
Employment by Class of Employer in Zip Code 41731
Among the 167 employed individuals in Zip Code 41731, private company employees (71 | 42.5%), state government employees (47 | 28.1%), and federal government employees (14 | 8.4%) make up the most common classes of employment.

Employer Class | # Employees | % Employees |
Private Company Employees | 71 | 42.5% |
Self-Employed (Incorporated) | 10 | 6.0% |
Self-Employed (Not Incorporated) | 12 | 7.2% |
Not-for-profit Organizations | 0 | 0.0% |
Local Government Employees | 13 | 7.8% |
State Government Employees | 47 | 28.1% |
Federal Government Employees | 14 | 8.4% |
Unpaid Family Workers | 0 | 0.0% |
Total | 167 | 100.0% |
Employment Status by Age in Zip Code 41731
According to the labor force statistics for Zip Code 41731, out of the total population over 16 years of age (745), 27.8% or 207 individuals are in the labor force, with 19.3% or 40 of them unemployed. The age group with the highest labor force participation rate is 25 to 29 years, with 100.0% or 30 individuals in the labor force. Within the labor force, the 20 to 24 years age range has the highest percentage of unemployed individuals, with 44.6% or 25 of them being unemployed.

Age Bracket | In Labor Force | Unemployed |
16 to 19 Years | 0 (0.0%) | 0 (0.0%) |
20 to 24 Years | 56 (76.7%) | 25 (44.6%) |
25 to 29 Years | 30 (100.0%) | 0 (0.0%) |
30 to 34 Years | 7 (100.0%) | 0 (0.0%) |
35 to 44 Years | 41 (67.2%) | 15 (36.6%) |
45 to 54 Years | 55 (35.7%) | 0 (0.0%) |
55 to 59 Years | 6 (13.0%) | 0 (0.0%) |
60 to 64 Years | 6 (5.8%) | 0 (0.0%) |
65 to 74 Years | 0 (0.0%) | 0 (0.0%) |
75 Years and over | 6 (4.3%) | 0 (0.0%) |
Total | 207 (27.8%) | 40 (19.3%) |
Employment Status by Educational Attainment in Zip Code 41731
According to labor force statistics for Zip Code 41731, 36.1% of individuals (145) out of the total population between 25 and 64 years of age (402) are in the labor force, with 10.3% or 15 of them being unemployed. The group with the highest labor force participation rate are those with the educational attainment of bachelor's degree or higher, with 87.3% or 69 individuals in the labor force. Within the labor force, individuals with high school diploma education have the highest percentage of unemployment, with 28.8% or 15 of them being unemployed.

Educational Attainment | In Labor Force | Unemployed |
Less than High School | 0 (0.0%) | 0 (0.0%) |
High School Diploma | 52 (26.4%) | 57 (28.8%) |
College / Associate Degree | 24 (32.9%) | 0 (0.0%) |
Bachelor's Degree or higher | 69 (87.3%) | 0 (0.0%) |
Total | 145 (36.1%) | 41 (10.3%) |
Employment Occupations by Sex in Zip Code 41731
Management, Business, Science and Arts Occupations
The most common Management, Business, Science and Arts occupations in Zip Code 41731 are Community & Social Service (43 | 25.8%), Education Instruction & Library (43 | 25.8%), and Management (17 | 10.2%).

Management, Business, Science and Arts Occupations by Sex
Within the Management, Business, Science and Arts occupations in Zip Code 41731, the most male-oriented occupations are Community & Social Service (14.0%), and Education Instruction & Library (14.0%), while the most female-oriented occupations are Management (100.0%), Community & Social Service (86.1%), and Education Instruction & Library (86.1%).

Occupation | Male | Female |
Management | 0 (0.0%) | 17 (100.0%) |
Business & Financial | 0 (0.0%) | 0 (0.0%) |
Computers, Engineering & Science | 0 (0.0%) | 0 (0.0%) |
Computers & Mathematics | 0 (0.0%) | 0 (0.0%) |
Architecture & Engineering | 0 (0.0%) | 0 (0.0%) |
Life, Physical & Social Science | 0 (0.0%) | 0 (0.0%) |
Community & Social Service | 6 (14.0%) | 37 (86.1%) |
Education, Arts & Media | 0 (0.0%) | 0 (0.0%) |
Legal Services & Support | 0 (0.0%) | 0 (0.0%) |
Education Instruction & Library | 6 (14.0%) | 37 (86.1%) |
Arts, Media & Entertainment | 0 (0.0%) | 0 (0.0%) |
Health Diagnosing & Treating | 0 (0.0%) | 0 (0.0%) |
Health Technologists | 0 (0.0%) | 0 (0.0%) |
Total (Category) | 6 (10.0%) | 54 (90.0%) |
Total (Overall) | 73 (43.7%) | 94 (56.3%) |
Services Occupations
The most common Services occupations in Zip Code 41731 are Personal Care & Service (7 | 4.2%), and Cleaning & Maintenance (5 | 3.0%).

Services Occupations by Sex

Occupation | Male | Female |
Healthcare Support | 0 (0.0%) | 0 (0.0%) |
Security & Protection | 0 (0.0%) | 0 (0.0%) |
Firefighting & Prevention | 0 (0.0%) | 0 (0.0%) |
Law Enforcement | 0 (0.0%) | 0 (0.0%) |
Food Preparation & Serving | 0 (0.0%) | 0 (0.0%) |
Cleaning & Maintenance | 0 (0.0%) | 5 (100.0%) |
Personal Care & Service | 0 (0.0%) | 7 (100.0%) |
Total (Category) | 0 (0.0%) | 12 (100.0%) |
Total (Overall) | 73 (43.7%) | 94 (56.3%) |
Sales and Office Occupations
The most common Sales and Office occupations in Zip Code 41731 are Sales & Related (21 | 12.6%), and Office & Administration (13 | 7.8%).

Sales and Office Occupations by Sex

Occupation | Male | Female |
Sales & Related | 6 (28.6%) | 15 (71.4%) |
Office & Administration | 0 (0.0%) | 13 (100.0%) |
Total (Category) | 6 (17.6%) | 28 (82.4%) |
Total (Overall) | 73 (43.7%) | 94 (56.3%) |
Natural Resources, Construction and Maintenance Occupations
The most common Natural Resources, Construction and Maintenance occupations in Zip Code 41731 are , and Construction & Extraction (31 | 18.6%).

Natural Resources, Construction and Maintenance Occupations by Sex

Occupation | Male | Female |
Farming, Fishing & Forestry | 0 (0.0%) | 0 (0.0%) |
Construction & Extraction | 31 (100.0%) | 0 (0.0%) |
Installation, Maintenance & Repair | 0 (0.0%) | 0 (0.0%) |
Total (Category) | 31 (100.0%) | 0 (0.0%) |
Total (Overall) | 73 (43.7%) | 94 (56.3%) |
Production, Transportation and Moving Occupations
The most common Production, Transportation and Moving occupations in Zip Code 41731 are Production (14 | 8.4%), Transportation (10 | 6.0%), and Material Moving (6 | 3.6%).

Production, Transportation and Moving Occupations by Sex

Occupation | Male | Female |
Production | 14 (100.0%) | 0 (0.0%) |
Transportation | 10 (100.0%) | 0 (0.0%) |
Material Moving | 6 (100.0%) | 0 (0.0%) |
Total (Category) | 30 (100.0%) | 0 (0.0%) |
Total (Overall) | 73 (43.7%) | 94 (56.3%) |
Employment Industries by Sex in Zip Code 41731
Employment Industries in Zip Code 41731
The major employment industries in Zip Code 41731 include Educational Services (60 | 35.9%), Mining, Quarrying, & Extraction (42 | 25.2%), Health Care & Social Assistance (25 | 15.0%), Retail Trade (21 | 12.6%), and Transportation & Warehousing (10 | 6.0%).

Employment Industries by Sex in Zip Code 41731
The Zip Code 41731 industries that see more men than women are Mining, Quarrying, & Extraction (100.0%), Construction (100.0%), and Transportation & Warehousing (100.0%), whereas the industries that tend to have a higher number of women are Finance & Insurance (100.0%), Health Care & Social Assistance (100.0%), and Educational Services (90.0%).

Industry | Male | Female |
Agriculture, Fishing & Hunting | 0 (0.0%) | 0 (0.0%) |
Mining, Quarrying, & Extraction | 42 (100.0%) | 0 (0.0%) |
Construction | 3 (100.0%) | 0 (0.0%) |
Manufacturing | 0 (0.0%) | 0 (0.0%) |
Wholesale Trade | 0 (0.0%) | 0 (0.0%) |
Retail Trade | 12 (57.1%) | 9 (42.9%) |
Transportation & Warehousing | 10 (100.0%) | 0 (0.0%) |
Utilities | 0 (0.0%) | 0 (0.0%) |
Information | 0 (0.0%) | 0 (0.0%) |
Finance & Insurance | 0 (0.0%) | 6 (100.0%) |
Real Estate, Rental & Leasing | 0 (0.0%) | 0 (0.0%) |
Professional & Scientific | 0 (0.0%) | 0 (0.0%) |
Enterprise Management | 0 (0.0%) | 0 (0.0%) |
Administrative & Support | 0 (0.0%) | 0 (0.0%) |
Educational Services | 6 (10.0%) | 54 (90.0%) |
Health Care & Social Assistance | 0 (0.0%) | 25 (100.0%) |
Arts, Entertainment & Recreation | 0 (0.0%) | 0 (0.0%) |
Accommodation & Food Services | 0 (0.0%) | 0 (0.0%) |
Public Administration | 0 (0.0%) | 0 (0.0%) |
Total | 73 (43.7%) | 94 (56.3%) |
Education in Zip Code 41731
School Enrollment in Zip Code 41731
The most common levels of schooling among the 66 students in Zip Code 41731 are college / undergraduate (22 | 33.3%), high school (18 | 27.3%), and elementary school (13 | 19.7%).

School Level | # Students | % Students |
Nursery / Preschool | 0 | 0.0% |
Kindergarten | 0 | 0.0% |
Elementary School | 13 | 19.7% |
Middle School | 13 | 19.7% |
High School | 18 | 27.3% |
College / Undergraduate | 22 | 33.3% |
Graduate / Professional | 0 | 0.0% |
Total | 66 | 100.0% |
School Enrollment by Age by Funding Source in Zip Code 41731
Out of a total of 66 students who are enrolled in schools in Zip Code 41731, 6 (9.1%) attend a private institution, while the remaining 60 (90.9%) are enrolled in public schools. The age group of 15 to 17 year olds has the highest likelihood of being enrolled in private schools, with 6 (40.0% in the age bracket) enrolled. Conversely, the age group of 5 to 9 year old has the lowest likelihood of being enrolled in a private school, with 13 (100.0% in the age bracket) attending a public institution.

Age Bracket | Public School | Private School |
3 to 4 Year Olds | 0 (0.0%) | 0 (0.0%) |
5 to 9 Year Old | 13 (100.0%) | 0 (0.0%) |
10 to 14 Year Olds | 13 (100.0%) | 0 (0.0%) |
15 to 17 Year Olds | 9 (60.0%) | 6 (40.0%) |
18 to 19 Year Olds | 8 (100.0%) | 0 (0.0%) |
20 to 24 Year Olds | 17 (100.0%) | 0 (0.0%) |
25 to 34 Year Olds | 0 (0.0%) | 0 (0.0%) |
35 Years and over | 0 (0.0%) | 0 (0.0%) |
Total | 60 (90.9%) | 6 (9.1%) |
Educational Attainment by Field of Study in Zip Code 41731
Education (43 | 54.4%), arts & humanities (19 | 24.0%), business (10 | 12.7%), and multidisciplinary studies (7 | 8.9%) are the most common fields of study among 79 individuals in Zip Code 41731 who have obtained a bachelor's degree or higher.

Field of Study | # Graduates | % Graduates |
Computers & Mathematics | 0 | 0.0% |
Bio, Nature & Agricultural | 0 | 0.0% |
Physical & Health Sciences | 0 | 0.0% |
Psychology | 0 | 0.0% |
Social Sciences | 0 | 0.0% |
Engineering | 0 | 0.0% |
Multidisciplinary Studies | 7 | 8.9% |
Science & Technology | 0 | 0.0% |
Business | 10 | 12.7% |
Education | 43 | 54.4% |
Literature & Languages | 0 | 0.0% |
Liberal Arts & History | 0 | 0.0% |
Visual & Performing Arts | 0 | 0.0% |
Communications | 0 | 0.0% |
Arts & Humanities | 19 | 24.0% |
Total | 79 | 100.0% |
Transportation & Commute in Zip Code 41731
Vehicle Availability by Sex in Zip Code 41731
The most prevalent vehicle ownership categories in Zip Code 41731 are males with 2 vehicles (47, accounting for 64.4%) and females with 2 vehicles (70, making up 50.0%).

Vehicles Available | Male | Female |
No Vehicle | 0 (0.0%) | 0 (0.0%) |
1 Vehicle | 6 (8.2%) | 7 (7.4%) |
2 Vehicles | 47 (64.4%) | 70 (74.5%) |
3 Vehicles | 20 (27.4%) | 0 (0.0%) |
4 Vehicles | 0 (0.0%) | 17 (18.1%) |
5 or more Vehicles | 0 (0.0%) | 0 (0.0%) |
Total | 73 (100.0%) | 94 (100.0%) |
Commute Time in Zip Code 41731
The most frequently occuring commute durations in Zip Code 41731 are 35 to 39 minutes (49 commuters, 29.3%), 30 to 34 minutes (40 commuters, 23.9%), and 90 or more minutes (28 commuters, 16.8%).

Commute Time | # Commuters | % Commuters |
Less than 5 Minutes | 0 | 0.0% |
5 to 9 Minutes | 10 | 6.0% |
10 to 14 Minutes | 0 | 0.0% |
15 to 19 Minutes | 14 | 8.4% |
20 to 24 Minutes | 13 | 7.8% |
25 to 29 Minutes | 0 | 0.0% |
30 to 34 Minutes | 40 | 23.9% |
35 to 39 Minutes | 49 | 29.3% |
40 to 44 Minutes | 0 | 0.0% |
45 to 59 Minutes | 13 | 7.8% |
60 to 89 Minutes | 0 | 0.0% |
90 or more Minutes | 28 | 16.8% |
Commute Time by Sex in Zip Code 41731
The most common commute times in Zip Code 41731 are 90 or more minutes (28 commuters, 38.4%) for males and 35 to 39 minutes (43 commuters, 45.7%) for females.

Commute Time | Male | Female |
Less than 5 Minutes | 0 (0.0%) | 0 (0.0%) |
5 to 9 Minutes | 0 (0.0%) | 10 (10.6%) |
10 to 14 Minutes | 0 (0.0%) | 0 (0.0%) |
15 to 19 Minutes | 9 (12.3%) | 5 (5.3%) |
20 to 24 Minutes | 6 (8.2%) | 7 (7.4%) |
25 to 29 Minutes | 0 (0.0%) | 0 (0.0%) |
30 to 34 Minutes | 24 (32.9%) | 16 (17.0%) |
35 to 39 Minutes | 6 (8.2%) | 43 (45.7%) |
40 to 44 Minutes | 0 (0.0%) | 0 (0.0%) |
45 to 59 Minutes | 0 (0.0%) | 13 (13.8%) |
60 to 89 Minutes | 0 (0.0%) | 0 (0.0%) |
90 or more Minutes | 28 (38.4%) | 0 (0.0%) |
Time of Departure to Work by Sex in Zip Code 41731
The most frequent times of departure to work in Zip Code 41731 are 12:00 AM to 4:59 AM (38, 52.0%) for males and 7:00 AM to 7:29 AM (40, 42.5%) for females.

Time of Departure | Male | Female |
12:00 AM to 4:59 AM | 38 (52.0%) | 0 (0.0%) |
5:00 AM to 5:29 AM | 0 (0.0%) | 0 (0.0%) |
5:30 AM to 5:59 AM | 0 (0.0%) | 0 (0.0%) |
6:00 AM to 6:29 AM | 14 (19.2%) | 0 (0.0%) |
6:30 AM to 6:59 AM | 6 (8.2%) | 32 (34.0%) |
7:00 AM to 7:29 AM | 6 (8.2%) | 40 (42.5%) |
7:30 AM to 7:59 AM | 0 (0.0%) | 13 (13.8%) |
8:00 AM to 8:29 AM | 0 (0.0%) | 0 (0.0%) |
8:30 AM to 8:59 AM | 0 (0.0%) | 0 (0.0%) |
9:00 AM to 9:59 AM | 0 (0.0%) | 0 (0.0%) |
10:00 AM to 10:59 AM | 0 (0.0%) | 0 (0.0%) |
11:00 AM to 11:59 AM | 0 (0.0%) | 0 (0.0%) |
12:00 PM to 3:59 PM | 6 (8.2%) | 9 (9.6%) |
4:00 PM to 11:59 PM | 3 (4.1%) | 0 (0.0%) |
Total | 73 (100.0%) | 94 (100.0%) |
Housing Occupancy in Zip Code 41731
Occupancy by Ownership in Zip Code 41731
Of the total 355 dwellings in Zip Code 41731, owner-occupied units account for 309 (87.0%), while renter-occupied units make up 46 (13.0%).

Occupancy | # Housing Units | % Housing Units |
Owner Occupied Housing Units | 309 | 87.0% |
Renter-Occupied Housing Units | 46 | 13.0% |
Total Occupied Housing Units | 355 | 100.0% |
Occupancy by Household Size in Zip Code 41731

Household Size | # Housing Units | % Housing Units |
1-Person Household | 112 | 31.6% |
2-Person Household | 150 | 42.2% |
3-Person Household | 63 | 17.7% |
4+ Person Household | 30 | 8.5% |
Total Housing Units | 355 | 100.0% |
Occupancy by Ownership by Household Size in Zip Code 41731

Household Size | Owner-occupied | Renter-occupied |
1-Person Household | 81 (72.3%) | 31 (27.7%) |
2-Person Household | 144 (96.0%) | 6 (4.0%) |
3-Person Household | 54 (85.7%) | 9 (14.3%) |
4+ Person Household | 30 (100.0%) | 0 (0.0%) |
Total Housing Units | 309 (87.0%) | 46 (13.0%) |
Occupancy by Educational Attainment in Zip Code 41731

Household Size | Owner-occupied | Renter-occupied |
Less than High School | 72 (66.1%) | 37 (33.9%) |
High School Diploma | 127 (93.4%) | 9 (6.6%) |
College/Associate Degree | 57 (100.0%) | 0 (0.0%) |
Bachelor's Degree or higher | 53 (100.0%) | 0 (0.0%) |
Occupancy by Age of Householder in Zip Code 41731

Age Bracket | # Households | % Households |
Under 35 Years | 37 | 10.4% |
35 to 44 Years | 10 | 2.8% |
45 to 54 Years | 108 | 30.4% |
55 to 64 Years | 88 | 24.8% |
65 to 74 Years | 77 | 21.7% |
75 to 84 Years | 29 | 8.2% |
85 Years and Over | 6 | 1.7% |
Total | 355 | 100.0% |
Housing Finances in Zip Code 41731
Median Income by Occupancy in Zip Code 41731

Occupancy Type | # Households | Median Income |
Owner-Occupied | 309 (87.0%) | $45,139 |
Renter-Occupied | 46 (13.0%) | $10,982 |
Average | 355 (100.0%) | $30,938 |
Occupancy by Householder Income Bracket in Zip Code 41731

Income Bracket | Owner-occupied | Renter-occupied |
Less than $5,000 | 22 (7.1%) | 3 (6.5%) |
$5,000 to $9,999 | 23 (7.4%) | 9 (19.6%) |
$10,000 to $14,999 | 11 (3.6%) | 28 (60.9%) |
$15,000 to $19,999 | 25 (8.1%) | 0 (0.0%) |
$20,000 to $24,999 | 49 (15.9%) | 6 (13.0%) |
$25,000 to $34,999 | 8 (2.6%) | 0 (0.0%) |
$35,000 to $49,999 | 31 (10.0%) | 0 (0.0%) |
$50,000 to $74,999 | 36 (11.7%) | 0 (0.0%) |
$75,000 to $99,999 | 31 (10.0%) | 0 (0.0%) |
$100,000 to $149,999 | 63 (20.4%) | 0 (0.0%) |
$150,000 or more | 10 (3.2%) | 0 (0.0%) |
Total | 309 (100.0%) | 46 (100.0%) |
Monthly Housing Cost Tiers in Zip Code 41731

Monthly Cost | Owner-occupied | Renter-occupied |
Less than $300 | 146 (47.2%) | 0 (0.0%) |
$300 to $499 | 63 (20.4%) | 9 (19.6%) |
$500 to $799 | 62 (20.1%) | 0 (0.0%) |
$800 to $999 | 22 (7.1%) | 0 (0.0%) |
$1,000 to $1,499 | 10 (3.2%) | 0 (0.0%) |
$1,500 to $1,999 | 6 (1.9%) | 0 (0.0%) |
$2,000 to $2,499 | 0 (0.0%) | 0 (0.0%) |
$2,500 to $2,999 | 0 (0.0%) | 0 (0.0%) |
$3,000 or more | 0 (0.0%) | 0 (0.0%) |
Total | 309 (100.0%) | 46 (100.0%) |
Physical Housing Characteristics in Zip Code 41731
Housing Structures in Zip Code 41731

Structure Type | # Housing Units | % Housing Units |
Single Unit, Detached | 173 | 48.7% |
Single Unit, Attached | 0 | 0.0% |
2 Unit Apartments | 0 | 0.0% |
3 or 4 Unit Apartments | 0 | 0.0% |
5 to 9 Unit Apartments | 0 | 0.0% |
10 or more Apartments | 0 | 0.0% |
Mobile Home / Other | 182 | 51.3% |
Total | 355 | 100.0% |
Housing Structures by Occupancy in Zip Code 41731

Structure Type | Owner-occupied | Renter-occupied |
Single Unit, Detached | 152 (87.9%) | 21 (12.1%) |
Single Unit, Attached | 0 (0.0%) | 0 (0.0%) |
2 Unit Apartments | 0 (0.0%) | 0 (0.0%) |
3 or 4 Unit Apartments | 0 (0.0%) | 0 (0.0%) |
5 to 9 Unit Apartments | 0 (0.0%) | 0 (0.0%) |
10 or more Apartments | 0 (0.0%) | 0 (0.0%) |
Mobile Home / Other | 157 (86.3%) | 25 (13.7%) |
Total | 309 (87.0%) | 46 (13.0%) |
Housing Structures by Number of Rooms in Zip Code 41731

Number of Rooms | Owner-occupied | Renter-occupied |
1 Room | 0 (0.0%) | 0 (0.0%) |
2 or 3 Rooms | 0 (0.0%) | 22 (47.8%) |
4 or 5 Rooms | 61 (19.7%) | 6 (13.0%) |
6 or 7 Rooms | 164 (53.1%) | 15 (32.6%) |
8 or more Rooms | 84 (27.2%) | 3 (6.5%) |
Total | 309 (100.0%) | 46 (100.0%) |
Housing Structure by Heating Type in Zip Code 41731

Heating Type | Owner-occupied | Renter-occupied |
Utility Gas | 76 (24.6%) | 22 (47.8%) |
Bottled, Tank, or LP Gas | 32 (10.4%) | 0 (0.0%) |
Electricity | 198 (64.1%) | 15 (32.6%) |
Fuel Oil or Kerosene | 0 (0.0%) | 0 (0.0%) |
Coal or Coke | 0 (0.0%) | 9 (19.6%) |
All other Fuels | 3 (1.0%) | 0 (0.0%) |
No Fuel Used | 0 (0.0%) | 0 (0.0%) |
Total | 309 (100.0%) | 46 (100.0%) |
Household Vehicle Usage in Zip Code 41731

Vehicles per Household | Owner-occupied | Renter-occupied |
No Vehicle | 0 (0.0%) | 22 (47.8%) |
1 Vehicle | 91 (29.4%) | 24 (52.2%) |
2 Vehicles | 142 (46.0%) | 0 (0.0%) |
3 or more Vehicles | 76 (24.6%) | 0 (0.0%) |
Total | 309 (100.0%) | 46 (100.0%) |
Real Estate & Mortgages in Zip Code 41731
Real Estate and Mortgage Overview in Zip Code 41731
Characteristic | Without Mortgage | With Mortgage |
Housing Units | 228 | 81 |
Median Property Value | $51,000 | $46,400 |
Median Household Income | $32,500 | $10 |
Monthly Housing Costs | $260 | $0 |
Real Estate Taxes | $199 | $13 |
Property Value by Mortgage Status in Zip Code 41731

Property Value | Without Mortgage | With Mortgage |
Less than $50,000 | 109 (47.8%) | 56 (69.1%) |
$50,000 to $99,999 | 86 (37.7%) | 10 (12.3%) |
$100,000 to $299,999 | 25 (11.0%) | 15 (18.5%) |
$300,000 to $499,999 | 0 (0.0%) | 0 (0.0%) |
$500,000 to $749,999 | 0 (0.0%) | 0 (0.0%) |
$750,000 to $999,999 | 8 (3.5%) | 0 (0.0%) |
$1,000,000 or more | 0 (0.0%) | 0 (0.0%) |
Total | 228 (100.0%) | 81 (100.0%) |
Household Income by Mortgage Status in Zip Code 41731

Household Income | Without Mortgage | With Mortgage |
Less than $10,000 | 38 (16.7%) | 0 (0.0%) |
$10,000 to $24,999 | 72 (31.6%) | 7 (8.6%) |
$25,000 to $34,999 | 8 (3.5%) | 13 (16.1%) |
$35,000 to $49,999 | 31 (13.6%) | 0 (0.0%) |
$50,000 to $74,999 | 30 (13.2%) | 0 (0.0%) |
$75,000 to $99,999 | 31 (13.6%) | 6 (7.4%) |
$100,000 to $149,999 | 18 (7.9%) | 0 (0.0%) |
$150,000 or more | 0 (0.0%) | 45 (55.6%) |
Total | 228 (100.0%) | 81 (100.0%) |
Property Value to Household Income Ratio in Zip Code 41731

Value-to-Income Ratio | Without Mortgage | With Mortgage |
Less than 2.0x | 159 (69.7%) | 110,458 (136,367.9%) |
2.0x to 2.9x | 7 (3.1%) | 55 (67.9%) |
3.0x to 3.9x | 9 (4.0%) | 19 (23.5%) |
4.0x or more | 38 (16.7%) | 0 (0.0%) |
Total | 228 (100.0%) | 81 (100.0%) |
Real Estate Taxes by Mortgage Status in Zip Code 41731

Property Taxes | Without Mortgage | With Mortgage |
Less than $800 | 152 (66.7%) | 0 (0.0%) |
$800 to $1,499 | 20 (8.8%) | 43 (53.1%) |
$800 to $1,499 | 0 (0.0%) | 25 (30.9%) |
Total | 228 (100.0%) | 81 (100.0%) |
Health & Disability in Zip Code 41731
Health Insurance Coverage by Age in Zip Code 41731

Age Bracket | With Coverage | Without Coverage |
Under 6 Years | 0 (0.0%) | 0 (0.0%) |
6 to 18 Years | 31 (70.5%) | 13 (29.5%) |
19 to 25 Years | 92 (84.4%) | 17 (15.6%) |
26 to 34 Years | 7 (100.0%) | 0 (0.0%) |
35 to 44 Years | 42 (68.9%) | 19 (31.1%) |
45 to 54 Years | 128 (83.1%) | 26 (16.9%) |
55 to 64 Years | 140 (93.3%) | 10 (6.7%) |
65 to 74 Years | 121 (100.0%) | 0 (0.0%) |
75 Years and older | 140 (100.0%) | 0 (0.0%) |
Total | 701 (89.2%) | 85 (10.8%) |
Health Insurance Coverage by Citizenship Status in Zip Code 41731

Citizenship Status | With Coverage | Without Coverage |
Native Born | 0 (0.0%) | 0 (0.0%) |
Foreign Born, Citizen | 31 (70.5%) | 13 (29.5%) |
Foreign Born, not a Citizen | 92 (84.4%) | 17 (15.6%) |
Health Insurance Coverage by Household Income in Zip Code 41731

Household Income | With Coverage | Without Coverage |
Under $25,000 | 250 (85.3%) | 43 (14.7%) |
$25,000 to $49,999 | 91 (100.0%) | 0 (0.0%) |
$50,000 to $74,999 | 76 (88.4%) | 10 (11.6%) |
$75,000 to $99,999 | 136 (100.0%) | 0 (0.0%) |
$100,000 and over | 148 (82.2%) | 32 (17.8%) |
Public vs Private Health Insurance Coverage by Age in Zip Code 41731

Age Bracket | Public Insurance | Private Insurance |
Under 6 | 0 (0.0%) | 0 (0.0%) |
6 to 18 Years | 25 (56.8%) | 6 (13.6%) |
19 to 25 Years | 29 (26.6%) | 63 (57.8%) |
25 to 34 Years | 0 (0.0%) | 7 (100.0%) |
35 to 44 Years | 35 (57.4%) | 17 (27.9%) |
45 to 54 Years | 85 (55.2%) | 56 (36.4%) |
55 to 64 Years | 98 (65.3%) | 42 (28.0%) |
65 to 74 Years | 121 (100.0%) | 52 (43.0%) |
75 Years and over | 140 (100.0%) | 87 (62.1%) |
Total | 533 (67.8%) | 330 (42.0%) |
Disability Status by Sex by Age in Zip Code 41731

Age Bracket | Male | Female |
Under 5 Years | 0 (0.0%) | 0 (0.0%) |
5 to 17 Years | 17 (100.0%) | 0 (0.0%) |
18 to 34 Years | 0 (0.0%) | 30 (40.0%) |
35 to 64 Years | 66 (41.0%) | 75 (36.8%) |
65 to 74 Years | 14 (26.4%) | 53 (77.9%) |
75 Years and over | 60 (90.9%) | 30 (40.5%) |
Disability Class by Sex by Age in Zip Code 41731
Disability Class: Hearing Difficulty

Age Bracket | Male | Female |
Under 5 Years | 0 (0.0%) | 0 (0.0%) |
5 to 17 Years | 13 (76.5%) | 0 (0.0%) |
18 to 34 Years | 0 (0.0%) | 30 (40.0%) |
35 to 64 Years | 14 (8.7%) | 15 (7.3%) |
65 to 74 Years | 5 (9.4%) | 12 (17.6%) |
75 Years and over | 54 (81.8%) | 25 (33.8%) |
Disability Class: Vision Difficulty

Age Bracket | Male | Female |
Under 5 Years | 0 (0.0%) | 0 (0.0%) |
5 to 17 Years | 4 (23.5%) | 0 (0.0%) |
18 to 34 Years | 0 (0.0%) | 0 (0.0%) |
35 to 64 Years | 0 (0.0%) | 40 (19.6%) |
65 to 74 Years | 0 (0.0%) | 19 (27.9%) |
75 Years and over | 20 (30.3%) | 0 (0.0%) |
Disability Class: Cognitive Difficulty

Age Bracket | Male | Female |
5 to 17 Years | 0 (0.0%) | 0 (0.0%) |
18 to 34 Years | 0 (0.0%) | 0 (0.0%) |
35 to 64 Years | 7 (4.3%) | 11 (5.4%) |
65 to 74 Years | 5 (9.4%) | 18 (26.5%) |
75 Years and over | 9 (13.6%) | 0 (0.0%) |
Disability Class: Ambulatory Difficulty

Age Bracket | Male | Female |
5 to 17 Years | 0 (0.0%) | 0 (0.0%) |
18 to 34 Years | 0 (0.0%) | 0 (0.0%) |
35 to 64 Years | 45 (28.0%) | 70 (34.3%) |
65 to 74 Years | 9 (17.0%) | 44 (64.7%) |
75 Years and over | 26 (39.4%) | 5 (6.8%) |
Disability Class: Self-Care Difficulty

Age Bracket | Male | Female |
5 to 17 Years | 0 (0.0%) | 0 (0.0%) |
18 to 34 Years | 0 (0.0%) | 0 (0.0%) |
35 to 64 Years | 5 (3.1%) | 0 (0.0%) |
65 to 74 Years | 0 (0.0%) | 21 (30.9%) |
75 Years and over | 9 (13.6%) | 0 (0.0%) |
Technology Access in Zip Code 41731
Computing Device Access in Zip Code 41731

Device Type | # Households | % Households |
Desktop or Laptop | 221 | 62.3% |
Smartphone | 216 | 60.9% |
Tablet | 192 | 54.1% |
No Computing Device | 93 | 26.2% |
Total | 355 | 100.0% |
Internet Access in Zip Code 41731

Internet Type | # Households | % Households |
Dial-Up Internet | 0 | 0.0% |
Broadband Home | 183 | 51.5% |
Cellular Data Only | 26 | 7.3% |
Satellite Internet | 62 | 17.5% |
No Internet | 98 | 27.6% |
Total | 355 | 100.0% |
Common Questions
What is the Total Population of Zip Code 41731?
Total Population of Zip Code 41731 is 786.
What is the Total Male Population of Zip Code 41731?
Total Male Population of Zip Code 41731 is 341.
What is the Total Female Population of Zip Code 41731?
Total Female Population of Zip Code 41731 is 445.
What is the Ratio of Males per 100 Females in Zip Code 41731?
There are 76.63 Males per 100 Females in Zip Code 41731.
What is the Ratio of Females per 100 Males in Zip Code 41731?
There are 130.50 Females per 100 Males in Zip Code 41731.
What is the Median Population Age in Zip Code 41731?
Median Population Age in Zip Code 41731 is 56.6 Years.
What is the Average Family Size in Zip Code 41731
Average Family Size in Zip Code 41731 is 2.4 People.
What is the Average Household Size in Zip Code 41731
Average Household Size in Zip Code 41731 is 2.2 People.
What is Per Capita Income in Zip Code 41731?
Per Capita income in Zip Code 41731 is $24,142.
What is the Median Family Income in Zip Code 41731?
Median Family Income in Zip Code 41731 is $49,408.
What is the Median Household income in Zip Code 41731?
Median Household Income in Zip Code 41731 is $30,938.
What is Income or Wage Gap in Zip Code 41731?
Income or Wage Gap in Zip Code 41731 is 32.4%.
Women in Zip Code 41731 earn 67.6 cents for every dollar earned by a man.
What is Inequality or Gini Index in Zip Code 41731?
Inequality or Gini Index in Zip Code 41731 is 0.50.
How Large is the Labor Force in Zip Code 41731?
There are 207 People in the Labor Forcein in Zip Code 41731.
What is the Percentage of People in the Labor Force in Zip Code 41731?
27.8% of People are in the Labor Force in Zip Code 41731.
What is the Unemployment Rate in Zip Code 41731?
Unemployment Rate in Zip Code 41731 is 19.3%.