Zip Code 41746
Zip Code 41746 Map
Zip Code 41746 Overview
667
TOTAL POPULATION
417
MALE POPULATION
250
FEMALE POPULATION
166.80
MALES / 100 FEMALES
59.95
FEMALES / 100 MALES
41.0
MEDIAN AGE
2.6
AVG FAMILY SIZE
2.6
AVG HOUSEHOLD SIZE
$21,789
PER CAPITA INCOME
$87,652
AVG FAMILY INCOME
$87,607
AVG HOUSEHOLD INCOME
7.5%
WAGE / INCOME GAP [ % ]
92.5¢/ $1
WAGE / INCOME GAP [ $ ]
0.36
INEQUALITY / GINI INDEX
238
LABOR FORCE [ PEOPLE ]
48.6%
PERCENT IN LABOR FORCE
18.5%
UNEMPLOYMENT RATE
Zip Code 41746 Area Codes
Race in Zip Code 41746
The most populous races in Zip Code 41746 are White / Caucasian (489 | 73.3%), Black / African American (153 | 22.9%), and Two or more Races (25 | 3.7%).
| Race | # Population | % Population |
| Asian | 0 | 0.0% |
| Black / African American | 153 | 22.9% |
| Hawaiian / Pacific | 0 | 0.0% |
| Hispanic or Latino | 17 | 2.5% |
| Native / Alaskan | 0 | 0.0% |
| White / Caucasian | 489 | 73.3% |
| Two or more Races | 25 | 3.7% |
| Some other Race | 0 | 0.0% |
| Total | 667 | 100.0% |
Ancestry in Zip Code 41746
The most populous ancestries reported in Zip Code 41746 are English (54 | 8.1%), American (36 | 5.4%), Scottish (22 | 3.3%), German (20 | 3.0%), and Italian (19 | 2.9%), together accounting for 22.7% of all Zip Code 41746 residents.
| Race | # Population | % Population |
| American | 36 | 5.4% |
| British | 17 | 2.5% |
| Cherokee | 8 | 1.2% |
| English | 54 | 8.1% |
| German | 20 | 3.0% |
| Italian | 19 | 2.9% |
| Puerto Rican | 17 | 2.5% |
| Scottish | 22 | 3.3% | View All 8 Rows |
Sex and Age in Zip Code 41746
Sex and Age in Zip Code 41746
The most populous age groups in Zip Code 41746 are 10 to 14 Years (101 | 24.2%) for men and 75 to 79 Years (51 | 20.4%) for women.
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 17 (6.8%) |
| 5 to 9 Years | 20 (4.8%) | 24 (9.6%) |
| 10 to 14 Years | 101 (24.2%) | 8 (3.2%) |
| 15 to 19 Years | 7 (1.7%) | 0 (0.0%) |
| 20 to 24 Years | 0 (0.0%) | 0 (0.0%) |
| 25 to 29 Years | 0 (0.0%) | 7 (2.8%) |
| 30 to 34 Years | 0 (0.0%) | 30 (12.0%) |
| 35 to 39 Years | 15 (3.6%) | 5 (2.0%) |
| 40 to 44 Years | 97 (23.3%) | 33 (13.2%) |
| 45 to 49 Years | 0 (0.0%) | 15 (6.0%) |
| 50 to 54 Years | 0 (0.0%) | 8 (3.2%) |
| 55 to 59 Years | 19 (4.6%) | 0 (0.0%) |
| 60 to 64 Years | 61 (14.6%) | 32 (12.8%) |
| 65 to 69 Years | 1 (0.2%) | 17 (6.8%) |
| 70 to 74 Years | 22 (5.3%) | 3 (1.2%) |
| 75 to 79 Years | 0 (0.0%) | 51 (20.4%) |
| 80 to 84 Years | 4 (1.0%) | 0 (0.0%) |
| 85 Years and over | 70 (16.8%) | 0 (0.0%) |
| Total | 417 (100.0%) | 250 (100.0%) |
Families and Households in Zip Code 41746
Median Family Size in Zip Code 41746
| Family Type | # Families | Family Size |
| Married-Couple | 227 (88.0%) | 2.63 |
| Single Male/Father | 0 (0.0%) | - |
| Single Female/Mother | 31 (12.0%) | 2.19 |
| Total Families | 258 (100.0%) | 2.57 |
Median Household Size in Zip Code 41746
| Household Type | # Households | Household Size |
| Married-Couple | 227 (87.0%) | 2.63 |
| Single Male/Father | 0 (0.0%) | - |
| Single Female/Mother | 31 (11.9%) | 2.19 |
| Non-family | 3 (1.1%) | - |
| Total Households | 261 (100.0%) | 2.56 |
Household Size by Marriage Status in Zip Code 41746
Out of a total of 261 households in Zip Code 41746, 258 (98.9%) are family households, while 3 (1.1%) are nonfamily households. The most numerous type of family households are 4-person households, comprising 119, and the most common type of nonfamily households are 1-person households, comprising 3.
| Household Size | Family Households | Nonfamily Households |
| 1-Person Households | - | 3 (1.1%) |
| 2-Person Households | 116 (44.4%) | 0 (0.0%) |
| 3-Person Households | 15 (5.8%) | 0 (0.0%) |
| 4-Person Households | 119 (45.6%) | 0 (0.0%) |
| 5-Person Households | 8 (3.1%) | 0 (0.0%) |
| 6-Person Households | 0 (0.0%) | 0 (0.0%) |
| 7+ Person Households | 0 (0.0%) | 0 (0.0%) |
| Total | 258 (98.9%) | 3 (1.1%) |
Female Fertility in Zip Code 41746
Fertility by Age in Zip Code 41746
| Age Bracket | Women with Births | Births / 1,000 Women |
| 15 to 19 years | 0 (0.0%) | -1.0 |
| 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 41746
| 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 41746
| 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 41746
| 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 41746
Income Overview in Zip Code 41746
Per Capita Income in Zip Code 41746 is $21,789, while median incomes of families and households are $87,652 and $87,607 respectively.
| Characteristic | Number | Measure |
| Per Capita Income | 667 | $21,789 |
| Median Family Income | 258 | $87,652 |
| Mean Family Income | 258 | $68,337 |
| Median Household Income | 261 | $87,607 |
| Mean Household Income | 261 | $67,702 |
| Income Deficit | 258 | $0 |
| Wage / Income Gap (%) | 667 | 7.45% |
| Wage / Income Gap ($) | 667 | 92.55¢ per $1 |
| Gini / Inequality Index | 667 | 0.36 |
Earnings by Sex in Zip Code 41746
Average Earnings in Zip Code 41746 are $36,829, $36,479 for men and $39,417 for women, a difference of 7.4%.
| Sex | Number | Average Earnings |
| Male | 141 (65.9%) | $36,479 |
| Female | 73 (34.1%) | $39,417 |
| Total | 214 (100.0%) | $36,829 |
Earnings by Sex by Income Bracket in Zip Code 41746
The most common earnings brackets in Zip Code 41746 are $35,000 to $39,999 for men (82 | 58.2%) and $15,000 to $17,499 for women (20 | 27.4%).
| Income | Male | Female |
| $2,499 or less | 0 (0.0%) | 0 (0.0%) |
| $2,500 to $4,999 | 0 (0.0%) | 0 (0.0%) |
| $5,000 to $7,499 | 0 (0.0%) | 0 (0.0%) |
| $7,500 to $9,999 | 0 (0.0%) | 0 (0.0%) |
| $10,000 to $12,499 | 0 (0.0%) | 0 (0.0%) |
| $12,500 to $14,999 | 0 (0.0%) | 0 (0.0%) |
| $15,000 to $17,499 | 0 (0.0%) | 20 (27.4%) |
| $17,500 to $19,999 | 0 (0.0%) | 0 (0.0%) |
| $20,000 to $22,499 | 15 (10.6%) | 0 (0.0%) |
| $22,500 to $24,999 | 7 (5.0%) | 0 (0.0%) |
| $25,000 to $29,999 | 0 (0.0%) | 5 (6.9%) |
| $30,000 to $34,999 | 0 (0.0%) | 0 (0.0%) |
| $35,000 to $39,999 | 82 (58.2%) | 15 (20.5%) |
| $40,000 to $44,999 | 0 (0.0%) | 0 (0.0%) |
| $45,000 to $49,999 | 0 (0.0%) | 0 (0.0%) |
| $50,000 to $54,999 | 15 (10.6%) | 19 (26.0%) |
| $55,000 to $64,999 | 0 (0.0%) | 0 (0.0%) |
| $65,000 to $74,999 | 0 (0.0%) | 0 (0.0%) |
| $75,000 to $99,999 | 0 (0.0%) | 0 (0.0%) |
| $100,000+ | 22 (15.6%) | 14 (19.2%) |
| Total | 141 (100.0%) | 73 (100.0%) |
Earnings by Sex by Educational Attainment in Zip Code 41746
| Educational Attainment | Male Income | Female Income |
| Less than High School | - | - |
| High School Diploma | - | - |
| College or Associate's Degree | - | - |
| Bachelor's Degree | - | - |
| Graduate Degree | - | - |
| Total | $36,479 | $39,417 |
Family Income in Zip Code 41746
Family Income Brackets in Zip Code 41746
According to the Zip Code 41746 family income data, there are 97 families falling into the $75,000 to $99,999 income range, which is the most common income bracket and makes up 37.6% of all families.
| Income Bracket | # Families | % Families |
| Less than $10,000 | 34 | 13.2% |
| $10,000 to $14,999 | 0 | 0.0% |
| $15,000 to $24,999 | 31 | 12.0% |
| $25,000 to $34,999 | 32 | 12.4% |
| $35,000 to $49,999 | 4 | 1.6% |
| $50,000 to $74,999 | 8 | 3.1% |
| $75,000 to $99,999 | 97 | 37.6% |
| $100,000 to $149,999 | 52 | 20.2% |
| $150,000 to $199,999 | 0 | 0.0% |
| $200,000+ | 0 | 0.0% |
Family Income by Famaliy Size in Zip Code 41746
4-person families (119 | 46.1%) account for the highest median family income in Zip Code 41746 with $88,643 per family, while 4-person families (119 | 46.1%) have the highest median income of $22,161 per family member.
| Income Bracket | # Families | Median Income |
| 2-Person Families | 116 (45.0%) | $28,125 |
| 3-Person Families | 15 (5.8%) | ($1) |
| 4-Person Families | 119 (46.1%) | $88,643 |
| 5-Person Families | 8 (3.1%) | ($1) |
| 6-Person Families | 0 (0.0%) | ($1) |
| 7+ Person Families | 0 (0.0%) | ($1) |
| Total | 258 (100.0%) | $87,652 |
Family Income by Number of Earners in Zip Code 41746
| Number of Earners | # Families | Median Income |
| No Earners | 102 (39.5%) | $20,167 |
| 1 Earner | 29 (11.2%) | ($1) |
| 2 Earners | 127 (49.2%) | $88,979 |
| 3+ Earners | 0 (0.0%) | ($1) |
| Total | 258 (100.0%) | $87,652 |
Household Income in Zip Code 41746
Household Income Brackets in Zip Code 41746
With 97 households falling in the category, the $75,000 to $99,999 income range is the most frequent in Zip Code 41746, accounting for 37.2% of all households.
| Income Bracket | # Households | % Households |
| Less than $10,000 | 34 | 13.0% |
| $10,000 to $14,999 | 3 | 1.1% |
| $15,000 to $24,999 | 31 | 11.9% |
| $25,000 to $34,999 | 32 | 12.3% |
| $35,000 to $49,999 | 4 | 1.5% |
| $50,000 to $74,999 | 8 | 3.1% |
| $75,000 to $99,999 | 97 | 37.2% |
| $100,000 to $149,999 | 52 | 19.9% |
| $150,000 to $199,999 | 0 | 0.0% |
| $200,000+ | 0 | 0.0% |
Household Income by Householder Age in Zip Code 41746
The median household income in Zip Code 41746 is $87,607, with the highest median household income of $88,750 found in the 25 to 44 years age bracket for the primary householder. A total of 112 households (42.9%) fall into this category.
| Income Bracket | # Households | Median Income |
| 15 to 24 Years | 0 (0.0%) | ($1) |
| 25 to 44 Years | 112 (42.9%) | $88,750 |
| 45 to 64 Years | 71 (27.2%) | ($1) |
| 65+ Years | 78 (29.9%) | $29,063 |
| Total | 261 (100.0%) | $87,607 |
Poverty in Zip Code 41746
Income Below Poverty by Sex and Age in Zip Code 41746
With 17.3% poverty level for males and 26.0% for females among the residents of Zip Code 41746, 6 to 11 year old males and 6 to 11 year old females are the most vulnerable to poverty, with 20 males (100.0%) and 24 females (100.0%) 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 | 20 (100.0%) | 24 (100.0%) |
| 12 to 14 Years | 11 (10.9%) | 0 (0.0%) |
| 15 Years | 7 (100.0%) | 0 (0.0%) |
| 16 and 17 Years | 0 (0.0%) | 0 (0.0%) |
| 18 to 24 Years | 0 (0.0%) | 0 (0.0%) |
| 25 to 34 Years | 0 (0.0%) | 17 (46.0%) |
| 35 to 44 Years | 15 (13.4%) | 0 (0.0%) |
| 45 to 54 Years | 0 (0.0%) | 8 (34.8%) |
| 55 to 64 Years | 19 (23.7%) | 0 (0.0%) |
| 65 to 74 Years | 0 (0.0%) | 0 (0.0%) |
| 75 Years and over | 0 (0.0%) | 16 (31.4%) |
| Total | 72 (17.3%) | 65 (26.0%) |
Income Above Poverty by Sex and Age in Zip Code 41746
According to the poverty statistics in Zip Code 41746, males aged 65 to 74 years and females aged under 5 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%) | 17 (100.0%) |
| 5 Years | 0 (0.0%) | 0 (0.0%) |
| 6 to 11 Years | 0 (0.0%) | 0 (0.0%) |
| 12 to 14 Years | 90 (89.1%) | 8 (100.0%) |
| 15 Years | 0 (0.0%) | 0 (0.0%) |
| 16 and 17 Years | 0 (0.0%) | 0 (0.0%) |
| 18 to 24 Years | 0 (0.0%) | 0 (0.0%) |
| 25 to 34 Years | 0 (0.0%) | 20 (54.0%) |
| 35 to 44 Years | 97 (86.6%) | 38 (100.0%) |
| 45 to 54 Years | 0 (0.0%) | 15 (65.2%) |
| 55 to 64 Years | 61 (76.2%) | 32 (100.0%) |
| 65 to 74 Years | 23 (100.0%) | 20 (100.0%) |
| 75 Years and over | 74 (100.0%) | 35 (68.6%) |
| Total | 345 (82.7%) | 185 (74.0%) |
Income Below Poverty Among Married-Couple Families in Zip Code 41746
The poverty statistics for married-couple families in Zip Code 41746 show that 15.0% or 34 of the total 227 families live below the poverty line. Families with 3 or 4 children have the highest poverty rate of 100.0%, comprising of 8 families. On the other hand, families with 1 or 2 children have the lowest poverty rate of 5.2%, which includes 7 families.
| Children | Above Poverty | Below Poverty |
| No Children | 66 (77.6%) | 19 (22.4%) |
| 1 or 2 Children | 127 (94.8%) | 7 (5.2%) |
| 3 or 4 Children | 0 (0.0%) | 8 (100.0%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 193 (85.0%) | 34 (15.0%) |
Income Below Poverty Among Single-Parent Households in Zip Code 41746
| Children | Single Father | Single Mother |
| No Children | 0 (0.0%) | 0 (0.0%) |
| 1 or 2 Children | 0 (0.0%) | 16 (100.0%) |
| 3 or 4 Children | 0 (0.0%) | 0 (0.0%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 0 (0.0%) | 16 (51.6%) |
Income Below Poverty Among Married-Couple vs Single-Parent Households in Zip Code 41746
The poverty data for Zip Code 41746 shows that 34 of the married-couple family households (15.0%) and 16 of the single-parent households (51.6%) are living below the poverty level. Within the married-couple family households, those with 3 or 4 children have the highest poverty rate, with 8 households (100.0%) falling below the poverty line. Among the single-parent households, those with 1 or 2 children have the highest poverty rate, with 16 household (100.0%) living below poverty.
| Children | Married-Couple Families | Single-Parent Households |
| No Children | 19 (22.4%) | 0 (0.0%) |
| 1 or 2 Children | 7 (5.2%) | 16 (100.0%) |
| 3 or 4 Children | 8 (100.0%) | 0 (0.0%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 34 (15.0%) | 16 (51.6%) |
Employment Characteristics in Zip Code 41746
Employment by Class of Employer in Zip Code 41746
Among the 194 employed individuals in Zip Code 41746, not-for-profit organizations (101 | 52.1%), private company employees (41 | 21.1%), and federal government employees (37 | 19.1%) make up the most common classes of employment.
| Employer Class | # Employees | % Employees |
| Private Company Employees | 41 | 21.1% |
| Self-Employed (Incorporated) | 0 | 0.0% |
| Self-Employed (Not Incorporated) | 15 | 7.7% |
| Not-for-profit Organizations | 101 | 52.1% |
| Local Government Employees | 0 | 0.0% |
| State Government Employees | 0 | 0.0% |
| Federal Government Employees | 37 | 19.1% |
| Unpaid Family Workers | 0 | 0.0% |
| Total | 194 | 100.0% |
Employment Status by Age in Zip Code 41746
According to the labor force statistics for Zip Code 41746, out of the total population over 16 years of age (490), 48.6% or 238 individuals are in the labor force, with 18.5% or 44 of them unemployed. The age group with the highest labor force participation rate is 25 to 29 years, with 100.0% or 7 individuals in the labor force. Within the labor force, the 25 to 29 years age range has the highest percentage of unemployed individuals, with 100.0% or 7 of them being unemployed.
| Age Bracket | In Labor Force | Unemployed |
| 16 to 19 Years | -0 (0.0%) | -0 (0.0%) |
| 20 to 24 Years | -0 (0.0%) | -0 (0.0%) |
| 25 to 29 Years | 7 (100.0%) | 7 (100.0%) |
| 30 to 34 Years | 20 (66.7%) | 20 (100.0%) |
| 35 to 44 Years | 135 (90.0%) | 0 (0.0%) |
| 45 to 54 Years | 15 (65.2%) | 0 (0.0%) |
| 55 to 59 Years | 0 (0.0%) | -0 (0.0%) |
| 60 to 64 Years | 39 (41.9%) | 17 (43.6%) |
| 65 to 74 Years | 22 (51.2%) | 0 (0.0%) |
| 75 Years and over | 0 (0.0%) | -0 (0.0%) |
| Total | 238 (48.6%) | 44 (18.5%) |
Employment Status by Educational Attainment in Zip Code 41746
According to labor force statistics for Zip Code 41746, 67.1% of individuals (216) out of the total population between 25 and 64 years of age (322) are in the labor force, with 20.4% or 44 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 100.0% or 174 individuals in the labor force. Within the labor force, individuals with bachelor's degree or higher education have the highest percentage of unemployment, with 21.3% or 37 of them being unemployed.
| Educational Attainment | In Labor Force | Unemployed |
| Less than High School | 0 (0.0%) | -0 (-1.0%) |
| High School Diploma | 37 (33.6%) | 21 (18.9%) |
| College / Associate Degree | 5 (41.7%) | 0 (0.0%) |
| Bachelor's Degree or higher | 174 (100.0%) | 37 (21.3%) |
| Total | 216 (67.1%) | 66 (20.4%) |
Employment Occupations by Sex in Zip Code 41746
Management, Business, Science and Arts Occupations
The most common Management, Business, Science and Arts occupations in Zip Code 41746 are Management (27 | 13.9%), Community & Social Service (19 | 9.8%), Legal Services & Support (19 | 9.8%), Health Diagnosing & Treating (14 | 7.2%), and Health Technologists (14 | 7.2%).
Management, Business, Science and Arts Occupations by Sex
| Occupation | Male | Female |
| Management | 22 (81.5%) | 5 (18.5%) |
| 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 | 0 (0.0%) | 19 (100.0%) |
| Education, Arts & Media | 0 (0.0%) | 0 (0.0%) |
| Legal Services & Support | 0 (0.0%) | 19 (100.0%) |
| Education Instruction & Library | 0 (0.0%) | 0 (0.0%) |
| Arts, Media & Entertainment | 0 (0.0%) | 0 (0.0%) |
| Health Diagnosing & Treating | 0 (0.0%) | 14 (100.0%) |
| Health Technologists | 0 (0.0%) | 14 (100.0%) |
| Total (Category) | 22 (36.7%) | 38 (63.3%) |
| Total (Overall) | 141 (72.7%) | 53 (27.3%) |
Services Occupations
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%) | 0 (0.0%) |
| Personal Care & Service | 0 (0.0%) | 0 (0.0%) |
| Total (Category) | 0 (0.0%) | 0 (0.0%) |
| Total (Overall) | 141 (72.7%) | 53 (27.3%) |
Sales and Office Occupations
The most common Sales and Office occupations in Zip Code 41746 are Office & Administration (112 | 57.7%), and Sales & Related (7 | 3.6%).
Sales and Office Occupations by Sex
| Occupation | Male | Female |
| Sales & Related | 7 (100.0%) | 0 (0.0%) |
| Office & Administration | 97 (86.6%) | 15 (13.4%) |
| Total (Category) | 104 (87.4%) | 15 (12.6%) |
| Total (Overall) | 141 (72.7%) | 53 (27.3%) |
Natural Resources, Construction and Maintenance Occupations
The most common Natural Resources, Construction and Maintenance occupations in Zip Code 41746 are , and Installation, Maintenance & Repair (15 | 7.7%).
Natural Resources, Construction and Maintenance Occupations by Sex
| Occupation | Male | Female |
| Farming, Fishing & Forestry | 0 (0.0%) | 0 (0.0%) |
| Construction & Extraction | 0 (0.0%) | 0 (0.0%) |
| Installation, Maintenance & Repair | 15 (100.0%) | 0 (0.0%) |
| Total (Category) | 15 (100.0%) | 0 (0.0%) |
| Total (Overall) | 141 (72.7%) | 53 (27.3%) |
Production, Transportation and Moving Occupations
Production, Transportation and Moving Occupations by Sex
| Occupation | Male | Female |
| Production | 0 (0.0%) | 0 (0.0%) |
| Transportation | 0 (0.0%) | 0 (0.0%) |
| Material Moving | 0 (0.0%) | 0 (0.0%) |
| Total (Category) | 0 (0.0%) | 0 (0.0%) |
| Total (Overall) | 141 (72.7%) | 53 (27.3%) |
Employment Industries by Sex in Zip Code 41746
Employment Industries in Zip Code 41746
The major employment industries in Zip Code 41746 include Health Care & Social Assistance (145 | 74.7%), Public Administration (22 | 11.3%), Wholesale Trade (7 | 3.6%), and Finance & Insurance (5 | 2.6%).
Employment Industries by Sex in Zip Code 41746
The Zip Code 41746 industries that see more men than women are Wholesale Trade (100.0%), Public Administration (100.0%), and Health Care & Social Assistance (66.9%), whereas the industries that tend to have a higher number of women are Finance & Insurance (100.0%), and Health Care & Social Assistance (33.1%).
| Industry | Male | Female |
| Agriculture, Fishing & Hunting | 0 (0.0%) | 0 (0.0%) |
| Mining, Quarrying, & Extraction | 0 (0.0%) | 0 (0.0%) |
| Construction | 0 (0.0%) | 0 (0.0%) |
| Manufacturing | 0 (0.0%) | 0 (0.0%) |
| Wholesale Trade | 7 (100.0%) | 0 (0.0%) |
| Retail Trade | 0 (0.0%) | 0 (0.0%) |
| Transportation & Warehousing | 0 (0.0%) | 0 (0.0%) |
| Utilities | 0 (0.0%) | 0 (0.0%) |
| Information | 0 (0.0%) | 0 (0.0%) |
| Finance & Insurance | 0 (0.0%) | 5 (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 | 0 (0.0%) | 0 (0.0%) |
| Health Care & Social Assistance | 97 (66.9%) | 48 (33.1%) |
| Arts, Entertainment & Recreation | 0 (0.0%) | 0 (0.0%) |
| Accommodation & Food Services | 0 (0.0%) | 0 (0.0%) |
| Public Administration | 22 (100.0%) | 0 (0.0%) |
| Total | 141 (72.7%) | 53 (27.3%) |
Education in Zip Code 41746
School Enrollment in Zip Code 41746
The most common levels of schooling among the 160 students in Zip Code 41746 are high school (71 | 44.4%), middle school (45 | 28.1%), and elementary school (44 | 27.5%).
| School Level | # Students | % Students |
| Nursery / Preschool | 0 | 0.0% |
| Kindergarten | 0 | 0.0% |
| Elementary School | 44 | 27.5% |
| Middle School | 45 | 28.1% |
| High School | 71 | 44.4% |
| College / Undergraduate | 0 | 0.0% |
| Graduate / Professional | 0 | 0.0% |
| Total | 160 | 100.0% |
School Enrollment by Age by Funding Source in Zip Code 41746
| Age Bracket | Public School | Private School |
| 3 to 4 Year Olds | 0 (0.0%) | 0 (0.0%) |
| 5 to 9 Year Old | 44 (100.0%) | 0 (0.0%) |
| 10 to 14 Year Olds | 109 (100.0%) | 0 (0.0%) |
| 15 to 17 Year Olds | 7 (100.0%) | 0 (0.0%) |
| 18 to 19 Year Olds | 0 (0.0%) | 0 (0.0%) |
| 20 to 24 Year Olds | 0 (0.0%) | 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 | 160 (100.0%) | 0 (0.0%) |
Educational Attainment by Field of Study in Zip Code 41746
Bio, nature & agricultural (82 | 47.1%), education (22 | 12.6%), liberal arts & history (20 | 11.5%), business (19 | 10.9%), and science & technology (17 | 9.8%) are the most common fields of study among 174 individuals in Zip Code 41746 who have obtained a bachelor's degree or higher.
| Field of Study | # Graduates | % Graduates |
| Computers & Mathematics | 0 | 0.0% |
| Bio, Nature & Agricultural | 82 | 47.1% |
| Physical & Health Sciences | 14 | 8.1% |
| Psychology | 0 | 0.0% |
| Social Sciences | 0 | 0.0% |
| Engineering | 0 | 0.0% |
| Multidisciplinary Studies | 0 | 0.0% |
| Science & Technology | 17 | 9.8% |
| Business | 19 | 10.9% |
| Education | 22 | 12.6% |
| Literature & Languages | 0 | 0.0% |
| Liberal Arts & History | 20 | 11.5% |
| Visual & Performing Arts | 0 | 0.0% |
| Communications | 0 | 0.0% |
| Arts & Humanities | 0 | 0.0% |
| Total | 174 | 100.0% |
Transportation & Commute in Zip Code 41746
Vehicle Availability by Sex in Zip Code 41746
The most prevalent vehicle ownership categories in Zip Code 41746 are males with 3 vehicles (97, accounting for 68.8%) and females with 3 vehicles (24, making up 183.0%).
| Vehicles Available | Male | Female |
| No Vehicle | 0 (0.0%) | 0 (0.0%) |
| 1 Vehicle | 7 (5.0%) | 0 (0.0%) |
| 2 Vehicles | 37 (26.2%) | 29 (54.7%) |
| 3 Vehicles | 97 (68.8%) | 24 (45.3%) |
| 4 Vehicles | 0 (0.0%) | 0 (0.0%) |
| 5 or more Vehicles | 0 (0.0%) | 0 (0.0%) |
| Total | 141 (100.0%) | 53 (100.0%) |
Commute Time in Zip Code 41746
The most frequently occuring commute durations in Zip Code 41746 are 20 to 24 minutes (113 commuters, 58.3%), 10 to 14 minutes (51 commuters, 26.3%), and 5 to 9 minutes (15 commuters, 7.7%).
| Commute Time | # Commuters | % Commuters |
| Less than 5 Minutes | 0 | 0.0% |
| 5 to 9 Minutes | 15 | 7.7% |
| 10 to 14 Minutes | 51 | 26.3% |
| 15 to 19 Minutes | 0 | 0.0% |
| 20 to 24 Minutes | 113 | 58.3% |
| 25 to 29 Minutes | 0 | 0.0% |
| 30 to 34 Minutes | 15 | 7.7% |
| 35 to 39 Minutes | 0 | 0.0% |
| 40 to 44 Minutes | 0 | 0.0% |
| 45 to 59 Minutes | 0 | 0.0% |
| 60 to 89 Minutes | 0 | 0.0% |
| 90 or more Minutes | 0 | 0.0% |
Commute Time by Sex in Zip Code 41746
The most common commute times in Zip Code 41746 are 20 to 24 minutes (89 commuters, 63.1%) for males and 20 to 24 minutes (24 commuters, 45.3%) for females.
| Commute Time | Male | Female |
| Less than 5 Minutes | 0 (0.0%) | 0 (0.0%) |
| 5 to 9 Minutes | 15 (10.6%) | 0 (0.0%) |
| 10 to 14 Minutes | 37 (26.2%) | 14 (26.4%) |
| 15 to 19 Minutes | 0 (0.0%) | 0 (0.0%) |
| 20 to 24 Minutes | 89 (63.1%) | 24 (45.3%) |
| 25 to 29 Minutes | 0 (0.0%) | 0 (0.0%) |
| 30 to 34 Minutes | 0 (0.0%) | 15 (28.3%) |
| 35 to 39 Minutes | 0 (0.0%) | 0 (0.0%) |
| 40 to 44 Minutes | 0 (0.0%) | 0 (0.0%) |
| 45 to 59 Minutes | 0 (0.0%) | 0 (0.0%) |
| 60 to 89 Minutes | 0 (0.0%) | 0 (0.0%) |
| 90 or more Minutes | 0 (0.0%) | 0 (0.0%) |
Time of Departure to Work by Sex in Zip Code 41746
The most frequent times of departure to work in Zip Code 41746 are 8:00 AM to 8:29 AM (82, 58.2%) for males and 7:30 AM to 7:59 AM (20, 37.7%) for females.
| Time of Departure | Male | Female |
| 12:00 AM to 4:59 AM | 7 (5.0%) | 0 (0.0%) |
| 5:00 AM to 5:29 AM | 0 (0.0%) | 0 (0.0%) |
| 5:30 AM to 5:59 AM | 22 (15.6%) | 0 (0.0%) |
| 6:00 AM to 6:29 AM | 0 (0.0%) | 0 (0.0%) |
| 6:30 AM to 6:59 AM | 15 (10.6%) | 0 (0.0%) |
| 7:00 AM to 7:29 AM | 0 (0.0%) | 0 (0.0%) |
| 7:30 AM to 7:59 AM | 0 (0.0%) | 20 (37.7%) |
| 8:00 AM to 8:29 AM | 82 (58.2%) | 19 (35.8%) |
| 8:30 AM to 8:59 AM | 0 (0.0%) | 0 (0.0%) |
| 9:00 AM to 9:59 AM | 15 (10.6%) | 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 | 0 (0.0%) | 0 (0.0%) |
| 4:00 PM to 11:59 PM | 0 (0.0%) | 14 (26.4%) |
| Total | 141 (100.0%) | 53 (100.0%) |
Housing Occupancy in Zip Code 41746
Occupancy by Ownership in Zip Code 41746
Of the total 261 dwellings in Zip Code 41746, owner-occupied units account for 209 (80.1%), while renter-occupied units make up 52 (19.9%).
| Occupancy | # Housing Units | % Housing Units |
| Owner Occupied Housing Units | 209 | 80.1% |
| Renter-Occupied Housing Units | 52 | 19.9% |
| Total Occupied Housing Units | 261 | 100.0% |
Occupancy by Household Size in Zip Code 41746
| Household Size | # Housing Units | % Housing Units |
| 1-Person Household | 3 | 1.1% |
| 2-Person Household | 116 | 44.4% |
| 3-Person Household | 15 | 5.8% |
| 4+ Person Household | 127 | 48.7% |
| Total Housing Units | 261 | 100.0% |
Occupancy by Ownership by Household Size in Zip Code 41746
| Household Size | Owner-occupied | Renter-occupied |
| 1-Person Household | 3 (100.0%) | 0 (0.0%) |
| 2-Person Household | 79 (68.1%) | 37 (31.9%) |
| 3-Person Household | 15 (100.0%) | 0 (0.0%) |
| 4+ Person Household | 112 (88.2%) | 15 (11.8%) |
| Total Housing Units | 209 (80.1%) | 52 (19.9%) |
Occupancy by Educational Attainment in Zip Code 41746
| Household Size | Owner-occupied | Renter-occupied |
| Less than High School | 30 (100.0%) | 0 (0.0%) |
| High School Diploma | 89 (74.8%) | 30 (25.2%) |
| College/Associate Degree | 8 (100.0%) | 0 (0.0%) |
| Bachelor's Degree or higher | 82 (78.8%) | 22 (21.1%) |
Occupancy by Age of Householder in Zip Code 41746
| Age Bracket | # Households | % Households |
| Under 35 Years | 0 | 0.0% |
| 35 to 44 Years | 112 | 42.9% |
| 45 to 54 Years | 15 | 5.8% |
| 55 to 64 Years | 56 | 21.5% |
| 65 to 74 Years | 26 | 10.0% |
| 75 to 84 Years | 52 | 19.9% |
| 85 Years and Over | 0 | 0.0% |
| Total | 261 | 100.0% |
Housing Finances in Zip Code 41746
Median Income by Occupancy in Zip Code 41746
| Occupancy Type | # Households | Median Income |
| Owner-Occupied | 209 (80.1%) | ($1) |
| Renter-Occupied | 52 (19.9%) | ($1) |
| Average | 261 (100.0%) | $87,607 |
Occupancy by Householder Income Bracket in Zip Code 41746
| Income Bracket | Owner-occupied | Renter-occupied |
| Less than $5,000 | 0 (0.0%) | 0 (0.0%) |
| $5,000 to $9,999 | 34 (16.3%) | 0 (0.0%) |
| $10,000 to $14,999 | 3 (1.4%) | 0 (0.0%) |
| $15,000 to $19,999 | 16 (7.7%) | 0 (0.0%) |
| $20,000 to $24,999 | 0 (0.0%) | 15 (28.8%) |
| $25,000 to $34,999 | 32 (15.3%) | 0 (0.0%) |
| $35,000 to $49,999 | 4 (1.9%) | 0 (0.0%) |
| $50,000 to $74,999 | 8 (3.8%) | 0 (0.0%) |
| $75,000 to $99,999 | 82 (39.2%) | 15 (28.8%) |
| $100,000 to $149,999 | 30 (14.3%) | 22 (42.3%) |
| $150,000 or more | 0 (0.0%) | 0 (0.0%) |
| Total | 209 (100.0%) | 52 (100.0%) |
Monthly Housing Cost Tiers in Zip Code 41746
| Monthly Cost | Owner-occupied | Renter-occupied |
| Less than $300 | 61 (29.2%) | 0 (0.0%) |
| $300 to $499 | 65 (31.1%) | 0 (0.0%) |
| $500 to $799 | 0 (0.0%) | 0 (0.0%) |
| $800 to $999 | 82 (39.2%) | 0 (0.0%) |
| $1,000 to $1,499 | 1 (0.5%) | 15 (28.8%) |
| $1,500 to $1,999 | 0 (0.0%) | 22 (42.3%) |
| $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 | 209 (100.0%) | 52 (100.0%) |
Physical Housing Characteristics in Zip Code 41746
Housing Structures in Zip Code 41746
| Structure Type | # Housing Units | % Housing Units |
| Single Unit, Detached | 220 | 84.3% |
| 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 | 41 | 15.7% |
| Total | 261 | 100.0% |
Housing Structures by Occupancy in Zip Code 41746
| Structure Type | Owner-occupied | Renter-occupied |
| Single Unit, Detached | 168 (76.4%) | 52 (23.6%) |
| 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 | 41 (100.0%) | 0 (0.0%) |
| Total | 209 (80.1%) | 52 (19.9%) |
Housing Structures by Number of Rooms in Zip Code 41746
| Number of Rooms | Owner-occupied | Renter-occupied |
| 1 Room | 0 (0.0%) | 0 (0.0%) |
| 2 or 3 Rooms | 34 (16.3%) | 0 (0.0%) |
| 4 or 5 Rooms | 25 (12.0%) | 15 (28.8%) |
| 6 or 7 Rooms | 2 (1.0%) | 15 (28.8%) |
| 8 or more Rooms | 148 (70.8%) | 22 (42.3%) |
| Total | 209 (100.0%) | 52 (100.0%) |
Housing Structure by Heating Type in Zip Code 41746
| Heating Type | Owner-occupied | Renter-occupied |
| Utility Gas | 3 (1.4%) | 15 (28.8%) |
| Bottled, Tank, or LP Gas | 0 (0.0%) | 0 (0.0%) |
| Electricity | 196 (93.8%) | 37 (71.2%) |
| Fuel Oil or Kerosene | 10 (4.8%) | 0 (0.0%) |
| Coal or Coke | 0 (0.0%) | 0 (0.0%) |
| All other Fuels | 0 (0.0%) | 0 (0.0%) |
| No Fuel Used | 0 (0.0%) | 0 (0.0%) |
| Total | 209 (100.0%) | 52 (100.0%) |
Household Vehicle Usage in Zip Code 41746
| Vehicles per Household | Owner-occupied | Renter-occupied |
| No Vehicle | 33 (15.8%) | 0 (0.0%) |
| 1 Vehicle | 62 (29.7%) | 0 (0.0%) |
| 2 Vehicles | 17 (8.1%) | 52 (100.0%) |
| 3 or more Vehicles | 97 (46.4%) | 0 (0.0%) |
| Total | 209 (100.0%) | 52 (100.0%) |
Real Estate & Mortgages in Zip Code 41746
Real Estate and Mortgage Overview in Zip Code 41746
| Characteristic | Without Mortgage | With Mortgage |
| Housing Units | 126 | 83 |
| Median Property Value | $33,400 | ($1) |
| Median Household Income | $28,281 | $0 |
| Monthly Housing Costs | $306 | $0 |
| Real Estate Taxes | $267 | $0 |
Property Value by Mortgage Status in Zip Code 41746
| Property Value | Without Mortgage | With Mortgage |
| Less than $50,000 | 89 (70.6%) | 0 (0.0%) |
| $50,000 to $99,999 | 34 (27.0%) | 82 (98.8%) |
| $100,000 to $299,999 | 3 (2.4%) | 1 (1.2%) |
| $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 | 0 (0.0%) | 0 (0.0%) |
| $1,000,000 or more | 0 (0.0%) | 0 (0.0%) |
| Total | 126 (100.0%) | 83 (100.0%) |
Household Income by Mortgage Status in Zip Code 41746
| Household Income | Without Mortgage | With Mortgage |
| Less than $10,000 | 34 (27.0%) | 0 (0.0%) |
| $10,000 to $24,999 | 19 (15.1%) | 0 (0.0%) |
| $25,000 to $34,999 | 32 (25.4%) | 0 (0.0%) |
| $35,000 to $49,999 | 3 (2.4%) | 0 (0.0%) |
| $50,000 to $74,999 | 8 (6.4%) | 1 (1.2%) |
| $75,000 to $99,999 | 0 (0.0%) | 0 (0.0%) |
| $100,000 to $149,999 | 30 (23.8%) | 82 (98.8%) |
| $150,000 or more | 0 (0.0%) | 0 (0.0%) |
| Total | 126 (100.0%) | 83 (100.0%) |
Property Value to Household Income Ratio in Zip Code 41746
| Value-to-Income Ratio | Without Mortgage | With Mortgage |
| Less than 2.0x | 104 (82.5%) | -1 (-1.2%) |
| 2.0x to 2.9x | 16 (12.7%) | 82 (98.8%) |
| 3.0x to 3.9x | 3 (2.4%) | 0 (0.0%) |
| 4.0x or more | 3 (2.4%) | 1 (1.2%) |
| Total | 126 (100.0%) | 83 (100.0%) |
Real Estate Taxes by Mortgage Status in Zip Code 41746
| Property Taxes | Without Mortgage | With Mortgage |
| Less than $800 | 88 (69.8%) | 0 (0.0%) |
| $800 to $1,499 | 0 (0.0%) | 82 (98.8%) |
| $800 to $1,499 | 0 (0.0%) | 0 (0.0%) |
| Total | 126 (100.0%) | 83 (100.0%) |
Health & Disability in Zip Code 41746
Health Insurance Coverage by Age in Zip Code 41746
| Age Bracket | With Coverage | Without Coverage |
| Under 6 Years | 17 (100.0%) | 0 (0.0%) |
| 6 to 18 Years | 160 (100.0%) | 0 (0.0%) |
| 19 to 25 Years | 0 (0.0%) | 0 (0.0%) |
| 26 to 34 Years | 37 (100.0%) | 0 (0.0%) |
| 35 to 44 Years | 150 (100.0%) | 0 (0.0%) |
| 45 to 54 Years | 23 (100.0%) | 0 (0.0%) |
| 55 to 64 Years | 112 (100.0%) | 0 (0.0%) |
| 65 to 74 Years | 43 (100.0%) | 0 (0.0%) |
| 75 Years and older | 125 (100.0%) | 0 (0.0%) |
| Total | 667 (100.0%) | 0 (0.0%) |
Health Insurance Coverage by Citizenship Status in Zip Code 41746
| Citizenship Status | With Coverage | Without Coverage |
| Native Born | 17 (100.0%) | 0 (0.0%) |
| Foreign Born, Citizen | 160 (100.0%) | 0 (0.0%) |
| Foreign Born, not a Citizen | 0 (0.0%) | 0 (0.0%) |
Health Insurance Coverage by Household Income in Zip Code 41746
| Household Income | With Coverage | Without Coverage |
| Under $25,000 | 175 (100.0%) | 0 (0.0%) |
| $25,000 to $49,999 | 109 (100.0%) | 0 (0.0%) |
| $50,000 to $74,999 | 16 (100.0%) | 0 (0.0%) |
| $75,000 to $99,999 | 243 (100.0%) | 0 (0.0%) |
| $100,000 and over | 124 (100.0%) | 0 (0.0%) |
Public vs Private Health Insurance Coverage by Age in Zip Code 41746
| Age Bracket | Public Insurance | Private Insurance |
| Under 6 | 17 (100.0%) | 0 (0.0%) |
| 6 to 18 Years | 62 (38.8%) | 98 (61.3%) |
| 19 to 25 Years | 0 (0.0%) | 0 (0.0%) |
| 25 to 34 Years | 37 (100.0%) | 0 (0.0%) |
| 35 to 44 Years | 15 (10.0%) | 135 (90.0%) |
| 45 to 54 Years | 8 (34.8%) | 15 (65.2%) |
| 55 to 64 Years | 71 (63.4%) | 58 (51.8%) |
| 65 to 74 Years | 43 (100.0%) | 0 (0.0%) |
| 75 Years and over | 125 (100.0%) | 103 (82.4%) |
| Total | 378 (56.7%) | 409 (61.3%) |
Disability Status by Sex by Age in Zip Code 41746
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 0 (0.0%) | 0 (0.0%) |
| 18 to 34 Years | 0 (0.0%) | 27 (73.0%) |
| 35 to 64 Years | 46 (24.0%) | 46 (49.5%) |
| 65 to 74 Years | 0 (0.0%) | 3 (15.0%) |
| 75 Years and over | 73 (98.7%) | 34 (66.7%) |
Disability Class by Sex by Age in Zip Code 41746
Disability Class: Hearing Difficulty
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 0 (0.0%) | 0 (0.0%) |
| 18 to 34 Years | 0 (0.0%) | 0 (0.0%) |
| 35 to 64 Years | 0 (0.0%) | 17 (18.3%) |
| 65 to 74 Years | 0 (0.0%) | 0 (0.0%) |
| 75 Years and over | 73 (98.7%) | 0 (0.0%) |
Disability Class: Vision Difficulty
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 0 (0.0%) | 0 (0.0%) |
| 18 to 34 Years | 0 (0.0%) | 20 (54.0%) |
| 35 to 64 Years | 0 (0.0%) | 14 (15.0%) |
| 65 to 74 Years | 0 (0.0%) | 0 (0.0%) |
| 75 Years and over | 3 (4.1%) | 32 (62.7%) |
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%) | 7 (18.9%) |
| 35 to 64 Years | 0 (0.0%) | 15 (16.1%) |
| 65 to 74 Years | 0 (0.0%) | 0 (0.0%) |
| 75 Years and over | 3 (4.1%) | 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%) | 7 (18.9%) |
| 35 to 64 Years | 46 (24.0%) | 0 (0.0%) |
| 65 to 74 Years | 0 (0.0%) | 3 (15.0%) |
| 75 Years and over | 3 (4.1%) | 32 (62.7%) |
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 | 0 (0.0%) | 0 (0.0%) |
| 65 to 74 Years | 0 (0.0%) | 0 (0.0%) |
| 75 Years and over | 3 (4.1%) | 0 (0.0%) |
Technology Access in Zip Code 41746
Computing Device Access in Zip Code 41746
| Device Type | # Households | % Households |
| Desktop or Laptop | 189 | 72.4% |
| Smartphone | 181 | 69.4% |
| Tablet | 156 | 59.8% |
| No Computing Device | 45 | 17.2% |
| Total | 261 | 100.0% |
Internet Access in Zip Code 41746
| Internet Type | # Households | % Households |
| Dial-Up Internet | 0 | 0.0% |
| Broadband Home | 199 | 76.2% |
| Cellular Data Only | 15 | 5.8% |
| Satellite Internet | 3 | 1.1% |
| No Internet | 44 | 16.9% |
| Total | 261 | 100.0% |
Common Questions
What is the Total Population of Zip Code 41746?
Total Population of Zip Code 41746 is 667.
What is the Total Male Population of Zip Code 41746?
Total Male Population of Zip Code 41746 is 417.
What is the Total Female Population of Zip Code 41746?
Total Female Population of Zip Code 41746 is 250.
What is the Ratio of Males per 100 Females in Zip Code 41746?
There are 166.80 Males per 100 Females in Zip Code 41746.
What is the Ratio of Females per 100 Males in Zip Code 41746?
There are 59.95 Females per 100 Males in Zip Code 41746.
What is the Median Population Age in Zip Code 41746?
Median Population Age in Zip Code 41746 is 41.0 Years.
What is the Average Family Size in Zip Code 41746
Average Family Size in Zip Code 41746 is 2.6 People.
What is the Average Household Size in Zip Code 41746
Average Household Size in Zip Code 41746 is 2.6 People.
What is Per Capita Income in Zip Code 41746?
Per Capita income in Zip Code 41746 is $21,789.
What is the Median Family Income in Zip Code 41746?
Median Family Income in Zip Code 41746 is $87,652.
What is the Median Household income in Zip Code 41746?
Median Household Income in Zip Code 41746 is $87,607.
What is Income or Wage Gap in Zip Code 41746?
Income or Wage Gap in Zip Code 41746 is 7.5%.
Women in Zip Code 41746 earn 92.5 cents for every dollar earned by a man.
What is Inequality or Gini Index in Zip Code 41746?
Inequality or Gini Index in Zip Code 41746 is 0.36.
How Large is the Labor Force in Zip Code 41746?
There are 238 People in the Labor Forcein in Zip Code 41746.
What is the Percentage of People in the Labor Force in Zip Code 41746?
48.6% of People are in the Labor Force in Zip Code 41746.
What is the Unemployment Rate in Zip Code 41746?
Unemployment Rate in Zip Code 41746 is 18.5%.