Zip Code 41773
Zip Code 41773 Map
Zip Code 41773 Overview
1,184
TOTAL POPULATION
651
MALE POPULATION
533
FEMALE POPULATION
122.14
MALES / 100 FEMALES
81.87
FEMALES / 100 MALES
38.8
MEDIAN AGE
2.9
AVG FAMILY SIZE
2.4
AVG HOUSEHOLD SIZE
$14,389
PER CAPITA INCOME
$27,917
AVG FAMILY INCOME
$26,420
AVG HOUSEHOLD INCOME
34.0%
WAGE / INCOME GAP [ % ]
66.0¢/ $1
WAGE / INCOME GAP [ $ ]
0.48
INEQUALITY / GINI INDEX
372
LABOR FORCE [ PEOPLE ]
40.2%
PERCENT IN LABOR FORCE
13.2%
UNEMPLOYMENT RATE
Zip Code 41773 Area Codes
Race in Zip Code 41773
The most populous races in Zip Code 41773 are White / Caucasian (1,143 | 96.5%), Black / African American (32 | 2.7%), and Two or more Races (9 | 0.8%).
| Race | # Population | % Population |
| Asian | 0 | 0.0% |
| Black / African American | 32 | 2.7% |
| Hawaiian / Pacific | 0 | 0.0% |
| Hispanic or Latino | 0 | 0.0% |
| Native / Alaskan | 0 | 0.0% |
| White / Caucasian | 1,143 | 96.5% |
| Two or more Races | 9 | 0.8% |
| Some other Race | 0 | 0.0% |
| Total | 1,184 | 100.0% |
Ancestry in Zip Code 41773
The most populous ancestries reported in Zip Code 41773 are American (101 | 8.5%), English (80 | 6.8%), Irish (61 | 5.1%), German (31 | 2.6%), and Scottish (28 | 2.4%), together accounting for 25.4% of all Zip Code 41773 residents.
| Race | # Population | % Population |
| American | 101 | 8.5% |
| British | 7 | 0.6% |
| Cherokee | 7 | 0.6% |
| Dutch | 7 | 0.6% |
| English | 80 | 6.8% |
| European | 12 | 1.0% |
| German | 31 | 2.6% |
| Irish | 61 | 5.1% |
| Scotch-Irish | 4 | 0.3% |
| Scottish | 28 | 2.4% | View All 10 Rows |
Sex and Age in Zip Code 41773
Sex and Age in Zip Code 41773
The most populous age groups in Zip Code 41773 are 60 to 64 Years (67 | 10.3%) for men and 60 to 64 Years (78 | 14.6%) for women.
| Age Bracket | Male | Female |
| Under 5 Years | 37 (5.7%) | 15 (2.8%) |
| 5 to 9 Years | 65 (10.0%) | 31 (5.8%) |
| 10 to 14 Years | 65 (10.0%) | 40 (7.5%) |
| 15 to 19 Years | 40 (6.1%) | 6 (1.1%) |
| 20 to 24 Years | 39 (6.0%) | 20 (3.7%) |
| 25 to 29 Years | 55 (8.5%) | 48 (9.0%) |
| 30 to 34 Years | 57 (8.8%) | 50 (9.4%) |
| 35 to 39 Years | 12 (1.8%) | 16 (3.0%) |
| 40 to 44 Years | 33 (5.1%) | 7 (1.3%) |
| 45 to 49 Years | 37 (5.7%) | 37 (6.9%) |
| 50 to 54 Years | 14 (2.1%) | 42 (7.9%) |
| 55 to 59 Years | 20 (3.1%) | 13 (2.4%) |
| 60 to 64 Years | 67 (10.3%) | 78 (14.6%) |
| 65 to 69 Years | 56 (8.6%) | 52 (9.8%) |
| 70 to 74 Years | 36 (5.5%) | 32 (6.0%) |
| 75 to 79 Years | 12 (1.8%) | 11 (2.1%) |
| 80 to 84 Years | 6 (0.9%) | 11 (2.1%) |
| 85 Years and over | 0 (0.0%) | 24 (4.5%) |
| Total | 651 (100.0%) | 533 (100.0%) |
Families and Households in Zip Code 41773
Median Family Size in Zip Code 41773
The median family size in Zip Code 41773 is 2.89 persons per family, with married-couple families (189 | 60.0%) accounting for the largest median family size of 3.04 persons per family. On the other hand, single male/father families (37 | 11.7%) represent the smallest median family size with 1.76 persons per family.
| Family Type | # Families | Family Size |
| Married-Couple | 189 (60.0%) | 3.04 |
| Single Male/Father | 37 (11.7%) | 1.76 |
| Single Female/Mother | 89 (28.2%) | 3.04 |
| Total Families | 315 (100.0%) | 2.89 |
Median Household Size in Zip Code 41773
The median household size in Zip Code 41773 is 2.35 persons per household, with single female/mother households (89 | 17.7%) accounting for the largest median household size of 3.33 persons per household. non-family households (189 | 37.5%) represent the smallest median household size with 1.16 persons per household.
| Household Type | # Households | Household Size |
| Married-Couple | 189 (37.5%) | 3.20 |
| Single Male/Father | 37 (7.3%) | 1.76 |
| Single Female/Mother | 89 (17.7%) | 3.33 |
| Non-family | 189 (37.5%) | 1.16 |
| Total Households | 504 (100.0%) | 2.35 |
Household Size by Marriage Status in Zip Code 41773
Out of a total of 504 households in Zip Code 41773, 315 (62.5%) are family households, while 189 (37.5%) are nonfamily households. The most numerous type of family households are 2-person households, comprising 171, and the most common type of nonfamily households are 1-person households, comprising 160.
| Household Size | Family Households | Nonfamily Households |
| 1-Person Households | - | 160 (31.8%) |
| 2-Person Households | 171 (33.9%) | 29 (5.8%) |
| 3-Person Households | 68 (13.5%) | 0 (0.0%) |
| 4-Person Households | 17 (3.4%) | 0 (0.0%) |
| 5-Person Households | 55 (10.9%) | 0 (0.0%) |
| 6-Person Households | 4 (0.8%) | 0 (0.0%) |
| 7+ Person Households | 0 (0.0%) | 0 (0.0%) |
| Total | 315 (62.5%) | 189 (37.5%) |
Female Fertility in Zip Code 41773
Fertility by Age in Zip Code 41773
Average fertility rate in Zip Code 41773 is 20.0 births per 1,000 women. Women in the age bracket of 20 to 34 years have the highest fertility rate with 34.0 births per 1,000 women. Women in the age bracket of 20 to 34 years acount for 100.0% of all women with births.
| Age Bracket | Women with Births | Births / 1,000 Women |
| 15 to 19 years | 0 (0.0%) | 0.0 |
| 20 to 34 years | 4 (100.0%) | 34.0 |
| 35 to 50 years | 0 (0.0%) | 0.0 |
| Total | 4 (100.0%) | 20.0 |
Fertility by Age by Marriage Status in Zip Code 41773
| Age Bracket | Married | Unmarried |
| 15 to 19 years | 0 (0.0%) | -0 (0.0%) |
| 20 to 34 years | 4 (100.0%) | 0 (0.0%) |
| 35 to 50 years | 0 (0.0%) | -0 (0.0%) |
| Total | 4 (100.0%) | 0 (0.0%) |
Fertility by Education in Zip Code 41773
| Educational Attainment | Women with Births | Births / 1,000 Women |
| Less than High School | 0 (0.0%) | 0.0 |
| High School Diploma | 4 (100.0%) | 77.0 |
| College or Associate's Degree | 0 (0.0%) | 0.0 |
| Bachelor's Degree | 0 (0.0%) | -1.0 |
| Graduate Degree | 0 (0.0%) | 0.0 |
| Total | 4 (100.0%) | 20.0 |
Fertility by Education by Marriage Status in Zip Code 41773
| Educational Attainment | Married | Unmarried |
| Less than High School | 0 (0.0%) | -0 (0.0%) |
| High School Diploma | 4 (100.0%) | 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 | 4 (100.0%) | 0 (0.0%) |
Income in Zip Code 41773
Income Overview in Zip Code 41773
Per Capita Income in Zip Code 41773 is $14,389, while median incomes of families and households are $27,917 and $26,420 respectively.
| Characteristic | Number | Measure |
| Per Capita Income | 1,184 | $14,389 |
| Median Family Income | 315 | $27,917 |
| Mean Family Income | 315 | $35,828 |
| Median Household Income | 504 | $26,420 |
| Mean Household Income | 504 | $32,715 |
| Income Deficit | 315 | $0 |
| Wage / Income Gap (%) | 1,184 | 34.02% |
| Wage / Income Gap ($) | 1,184 | 65.98¢ per $1 |
| Gini / Inequality Index | 1,184 | 0.48 |
Earnings by Sex in Zip Code 41773
Average Earnings in Zip Code 41773 are $21,339, $30,406 for men and $20,063 for women, a difference of 34.0%.
| Sex | Number | Average Earnings |
| Male | 187 (51.9%) | $30,406 |
| Female | 173 (48.1%) | $20,063 |
| Total | 360 (100.0%) | $21,339 |
Earnings by Sex by Income Bracket in Zip Code 41773
The most common earnings brackets in Zip Code 41773 are $30,000 to $34,999 for men (40 | 21.4%) and $50,000 to $54,999 for women (31 | 17.9%).
| Income | Male | Female |
| $2,499 or less | 26 (13.9%) | 14 (8.1%) |
| $2,500 to $4,999 | 19 (10.2%) | 25 (14.4%) |
| $5,000 to $7,499 | 8 (4.3%) | 0 (0.0%) |
| $7,500 to $9,999 | 0 (0.0%) | 10 (5.8%) |
| $10,000 to $12,499 | 16 (8.6%) | 0 (0.0%) |
| $12,500 to $14,999 | 10 (5.3%) | 5 (2.9%) |
| $15,000 to $17,499 | 0 (0.0%) | 28 (16.2%) |
| $17,500 to $19,999 | 0 (0.0%) | 4 (2.3%) |
| $20,000 to $22,499 | 8 (4.3%) | 20 (11.6%) |
| $22,500 to $24,999 | 0 (0.0%) | 0 (0.0%) |
| $25,000 to $29,999 | 0 (0.0%) | 10 (5.8%) |
| $30,000 to $34,999 | 40 (21.4%) | 12 (6.9%) |
| $35,000 to $39,999 | 10 (5.3%) | 9 (5.2%) |
| $40,000 to $44,999 | 0 (0.0%) | 1 (0.6%) |
| $45,000 to $49,999 | 0 (0.0%) | 2 (1.2%) |
| $50,000 to $54,999 | 7 (3.7%) | 31 (17.9%) |
| $55,000 to $64,999 | 4 (2.1%) | 2 (1.2%) |
| $65,000 to $74,999 | 16 (8.6%) | 0 (0.0%) |
| $75,000 to $99,999 | 16 (8.6%) | 0 (0.0%) |
| $100,000+ | 7 (3.7%) | 0 (0.0%) |
| Total | 187 (100.0%) | 173 (100.0%) |
Earnings by Sex by Educational Attainment in Zip Code 41773
Average earnings in Zip Code 41773 are $31,344 for men and $21,313 for women, a difference of 32.0%. Men with an educational attainment of high school diploma enjoy the highest average annual earnings of $35,125, while those with high school diploma education earn the least with $35,125. Women with an educational attainment of high school diploma earn the most with the average annual earnings of $29,821, while those with less than high school education have the smallest earnings of $17,813.
| Educational Attainment | Male Income | Female Income |
| Less than High School | - | - |
| High School Diploma | $35,125 | $29,821 |
| College or Associate's Degree | - | - |
| Bachelor's Degree | - | - |
| Graduate Degree | - | - |
| Total | $31,344 | $21,313 |
Family Income in Zip Code 41773
Family Income Brackets in Zip Code 41773
According to the Zip Code 41773 family income data, there are 59 families falling into the $25,000 to $34,999 income range, which is the most common income bracket and makes up 18.7% of all families.
| Income Bracket | # Families | % Families |
| Less than $10,000 | 49 | 15.6% |
| $10,000 to $14,999 | 42 | 13.3% |
| $15,000 to $24,999 | 45 | 14.3% |
| $25,000 to $34,999 | 59 | 18.7% |
| $35,000 to $49,999 | 45 | 14.3% |
| $50,000 to $74,999 | 43 | 13.7% |
| $75,000 to $99,999 | 23 | 7.3% |
| $100,000 to $149,999 | 9 | 2.9% |
| $150,000 to $199,999 | 0 | 0.0% |
| $200,000+ | 0 | 0.0% |
Family Income by Famaliy Size in Zip Code 41773
2-person families (171 | 54.3%) account for the highest median family income in Zip Code 41773 with $29,205 per family, while 2-person families (171 | 54.3%) have the highest median income of $14,602 per family member.
| Income Bracket | # Families | Median Income |
| 2-Person Families | 171 (54.3%) | $29,205 |
| 3-Person Families | 82 (26.0%) | $28,750 |
| 4-Person Families | 43 (13.7%) | $2,499 |
| 5-Person Families | 15 (4.8%) | ($1) |
| 6-Person Families | 4 (1.3%) | ($1) |
| 7+ Person Families | 0 (0.0%) | ($1) |
| Total | 315 (100.0%) | $27,917 |
Family Income by Number of Earners in Zip Code 41773
| Number of Earners | # Families | Median Income |
| No Earners | 155 (49.2%) | $18,092 |
| 1 Earner | 119 (37.8%) | $39,821 |
| 2 Earners | 41 (13.0%) | $46,719 |
| 3+ Earners | 0 (0.0%) | ($1) |
| Total | 315 (100.0%) | $27,917 |
Household Income in Zip Code 41773
Household Income Brackets in Zip Code 41773
With 128 households falling in the category, the less than $10,000 income range is the most frequent in Zip Code 41773, accounting for 25.4% of all households.
| Income Bracket | # Households | % Households |
| Less than $10,000 | 128 | 25.4% |
| $10,000 to $14,999 | 46 | 9.1% |
| $15,000 to $24,999 | 53 | 10.5% |
| $25,000 to $34,999 | 124 | 24.6% |
| $35,000 to $49,999 | 49 | 9.7% |
| $50,000 to $74,999 | 58 | 11.5% |
| $75,000 to $99,999 | 23 | 4.6% |
| $100,000 to $149,999 | 23 | 4.6% |
| $150,000 to $199,999 | 0 | 0.0% |
| $200,000+ | 0 | 0.0% |
Household Income by Householder Age in Zip Code 41773
The median household income in Zip Code 41773 is $26,420, with the highest median household income of $27,946 found in the 65+ years age bracket for the primary householder. A total of 168 households (33.3%) fall into this category. Meanwhile, the 15 to 24 years age bracket for the primary householder has the lowest median household income of $0, with 22 households (4.4%) in this group.
| Income Bracket | # Households | Median Income |
| 15 to 24 Years | 22 (4.4%) | ($1) |
| 25 to 44 Years | 123 (24.4%) | ($1) |
| 45 to 64 Years | 191 (37.9%) | $27,375 |
| 65+ Years | 168 (33.3%) | $27,946 |
| Total | 504 (100.0%) | $26,420 |
Poverty in Zip Code 41773
Income Below Poverty by Sex and Age in Zip Code 41773
With 50.1% poverty level for males and 37.5% for females among the residents of Zip Code 41773, 15 year old males and 18 to 24 year old females are the most vulnerable to poverty, with 2 males (100.0%) and 22 females (100.0%) in their respective age groups living below the poverty level.
| Age Bracket | Male | Female |
| Under 5 Years | 30 (81.1%) | 10 (66.7%) |
| 5 Years | 0 (0.0%) | 0 (0.0%) |
| 6 to 11 Years | 25 (38.5%) | 7 (17.1%) |
| 12 to 14 Years | 55 (93.2%) | 24 (80.0%) |
| 15 Years | 2 (100.0%) | 0 (0.0%) |
| 16 and 17 Years | 17 (44.7%) | 0 (0.0%) |
| 18 to 24 Years | 32 (82.1%) | 22 (100.0%) |
| 25 to 34 Years | 71 (63.4%) | 43 (43.9%) |
| 35 to 44 Years | 25 (55.6%) | 2 (8.7%) |
| 45 to 54 Years | 15 (29.4%) | 22 (27.9%) |
| 55 to 64 Years | 25 (28.7%) | 45 (49.4%) |
| 65 to 74 Years | 29 (31.5%) | 14 (16.7%) |
| 75 Years and over | 0 (0.0%) | 11 (23.9%) |
| Total | 326 (50.1%) | 200 (37.5%) |
Income Above Poverty by Sex and Age in Zip Code 41773
According to the poverty statistics in Zip Code 41773, males aged 5 years and females aged 15 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 | 7 (18.9%) | 5 (33.3%) |
| 5 Years | 6 (100.0%) | 0 (0.0%) |
| 6 to 11 Years | 40 (61.5%) | 34 (82.9%) |
| 12 to 14 Years | 4 (6.8%) | 6 (20.0%) |
| 15 Years | 0 (0.0%) | 4 (100.0%) |
| 16 and 17 Years | 21 (55.3%) | 0 (0.0%) |
| 18 to 24 Years | 7 (17.9%) | 0 (0.0%) |
| 25 to 34 Years | 41 (36.6%) | 55 (56.1%) |
| 35 to 44 Years | 20 (44.4%) | 21 (91.3%) |
| 45 to 54 Years | 36 (70.6%) | 57 (72.2%) |
| 55 to 64 Years | 62 (71.3%) | 46 (50.5%) |
| 65 to 74 Years | 63 (68.5%) | 70 (83.3%) |
| 75 Years and over | 18 (100.0%) | 35 (76.1%) |
| Total | 325 (49.9%) | 333 (62.5%) |
Income Below Poverty Among Married-Couple Families in Zip Code 41773
The poverty statistics for married-couple families in Zip Code 41773 show that 39.7% or 75 of the total 189 families live below the poverty line. Families with 3 or 4 children have the highest poverty rate of 58.8%, comprising of 10 families. On the other hand, families with no children have the lowest poverty rate of 28.4%, which includes 31 families.
| Children | Above Poverty | Below Poverty |
| No Children | 78 (71.6%) | 31 (28.4%) |
| 1 or 2 Children | 29 (46.0%) | 34 (54.0%) |
| 3 or 4 Children | 7 (41.2%) | 10 (58.8%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 114 (60.3%) | 75 (39.7%) |
Income Below Poverty Among Single-Parent Households in Zip Code 41773
According to the poverty data in Zip Code 41773, 56.8% or 21 single-father households and 33.7% or 30 single-mother households are living below the poverty line. Among single-father households, those with no children have the highest poverty rate, with 21 households (56.8%) experiencing poverty. Likewise, among single-mother households, those with 3 or 4 children have the highest poverty rate, with 24 households (100.0%) falling below the poverty line.
| Children | Single Father | Single Mother |
| No Children | 21 (56.8%) | 4 (8.0%) |
| 1 or 2 Children | 0 (0.0%) | 2 (13.3%) |
| 3 or 4 Children | 0 (0.0%) | 24 (100.0%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 21 (56.8%) | 30 (33.7%) |
Income Below Poverty Among Married-Couple vs Single-Parent Households in Zip Code 41773
The poverty data for Zip Code 41773 shows that 75 of the married-couple family households (39.7%) and 51 of the single-parent households (40.5%) are living below the poverty level. Within the married-couple family households, those with 3 or 4 children have the highest poverty rate, with 10 households (58.8%) falling below the poverty line. Among the single-parent households, those with 3 or 4 children have the highest poverty rate, with 24 household (100.0%) living below poverty.
| Children | Married-Couple Families | Single-Parent Households |
| No Children | 31 (28.4%) | 25 (28.7%) |
| 1 or 2 Children | 34 (54.0%) | 2 (13.3%) |
| 3 or 4 Children | 10 (58.8%) | 24 (100.0%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 75 (39.7%) | 51 (40.5%) |
Employment Characteristics in Zip Code 41773
Employment by Class of Employer in Zip Code 41773
Among the 323 employed individuals in Zip Code 41773, private company employees (162 | 50.1%), not-for-profit organizations (62 | 19.2%), and state government employees (56 | 17.3%) make up the most common classes of employment.
| Employer Class | # Employees | % Employees |
| Private Company Employees | 162 | 50.1% |
| Self-Employed (Incorporated) | 0 | 0.0% |
| Self-Employed (Not Incorporated) | 5 | 1.5% |
| Not-for-profit Organizations | 62 | 19.2% |
| Local Government Employees | 31 | 9.6% |
| State Government Employees | 56 | 17.3% |
| Federal Government Employees | 7 | 2.2% |
| Unpaid Family Workers | 0 | 0.0% |
| Total | 323 | 100.0% |
Employment Status by Age in Zip Code 41773
According to the labor force statistics for Zip Code 41773, out of the total population over 16 years of age (925), 40.2% or 372 individuals are in the labor force, with 13.2% or 49 of them unemployed. The age group with the highest labor force participation rate is 25 to 29 years, with 86.4% or 89 individuals in the labor force. Within the labor force, the 65 to 74 years age range has the highest percentage of unemployed individuals, with 100.0% or 5 of them being unemployed.
| Age Bracket | In Labor Force | Unemployed |
| 16 to 19 Years | 17 (42.5%) | 8 (47.1%) |
| 20 to 24 Years | 41 (69.5%) | 0 (0.0%) |
| 25 to 29 Years | 89 (86.4%) | 17 (19.1%) |
| 30 to 34 Years | 43 (40.2%) | 15 (34.9%) |
| 35 to 44 Years | 46 (67.6%) | 2 (4.3%) |
| 45 to 54 Years | 66 (50.8%) | 2 (3.0%) |
| 55 to 59 Years | 7 (21.2%) | 0 (0.0%) |
| 60 to 64 Years | 58 (40.0%) | 0 (0.0%) |
| 65 to 74 Years | 5 (2.8%) | 5 (100.0%) |
| 75 Years and over | 0 (0.0%) | -0 (0.0%) |
| Total | 372 (40.2%) | 49 (13.2%) |
Employment Status by Educational Attainment in Zip Code 41773
According to labor force statistics for Zip Code 41773, 52.7% of individuals (309) out of the total population between 25 and 64 years of age (586) are in the labor force, with 11.7% or 36 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 85.7% or 42 individuals in the labor force. Within the labor force, individuals with less than high school education have the highest percentage of unemployment, with 27.0% or 17 of them being unemployed.
| Educational Attainment | In Labor Force | Unemployed |
| Less than High School | 63 (35.8%) | 48 (27.0%) |
| High School Diploma | 131 (59.0%) | 29 (13.0%) |
| College / Associate Degree | 73 (52.5%) | 4 (2.7%) |
| Bachelor's Degree or higher | 42 (85.7%) | 0 (0.0%) |
| Total | 309 (52.7%) | 69 (11.7%) |
Employment Occupations by Sex in Zip Code 41773
Management, Business, Science and Arts Occupations
The most common Management, Business, Science and Arts occupations in Zip Code 41773 are Community & Social Service (18 | 5.6%), Education Instruction & Library (14 | 4.3%), Health Diagnosing & Treating (9 | 2.8%), Management (7 | 2.2%), and Education, Arts & Media (4 | 1.2%).
Management, Business, Science and Arts Occupations by Sex
| Occupation | Male | Female |
| Management | 7 (100.0%) | 0 (0.0%) |
| 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 | 0 (0.0%) | 18 (100.0%) |
| Education, Arts & Media | 0 (0.0%) | 4 (100.0%) |
| Legal Services & Support | 0 (0.0%) | 0 (0.0%) |
| Education Instruction & Library | 0 (0.0%) | 14 (100.0%) |
| Arts, Media & Entertainment | 0 (0.0%) | 0 (0.0%) |
| Health Diagnosing & Treating | 0 (0.0%) | 9 (100.0%) |
| Health Technologists | 0 (0.0%) | 0 (0.0%) |
| Total (Category) | 7 (20.6%) | 27 (79.4%) |
| Total (Overall) | 164 (50.8%) | 159 (49.2%) |
Services Occupations
The most common Services occupations in Zip Code 41773 are Healthcare Support (60 | 18.6%), Cleaning & Maintenance (15 | 4.6%), Food Preparation & Serving (5 | 1.5%), and Personal Care & Service (5 | 1.5%).
Services Occupations by Sex
Within the Services occupations in Zip Code 41773, the most male-oriented occupations are Personal Care & Service (100.0%), and Healthcare Support (31.7%), while the most female-oriented occupations are Food Preparation & Serving (100.0%), Cleaning & Maintenance (100.0%), and Healthcare Support (68.3%).
| Occupation | Male | Female |
| Healthcare Support | 19 (31.7%) | 41 (68.3%) |
| 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%) | 5 (100.0%) |
| Cleaning & Maintenance | 0 (0.0%) | 15 (100.0%) |
| Personal Care & Service | 5 (100.0%) | 0 (0.0%) |
| Total (Category) | 24 (28.2%) | 61 (71.8%) |
| Total (Overall) | 164 (50.8%) | 159 (49.2%) |
Sales and Office Occupations
The most common Sales and Office occupations in Zip Code 41773 are Office & Administration (80 | 24.8%), and Sales & Related (34 | 10.5%).
Sales and Office Occupations by Sex
| Occupation | Male | Female |
| Sales & Related | 13 (38.2%) | 21 (61.8%) |
| Office & Administration | 31 (38.8%) | 49 (61.3%) |
| Total (Category) | 44 (38.6%) | 70 (61.4%) |
| Total (Overall) | 164 (50.8%) | 159 (49.2%) |
Natural Resources, Construction and Maintenance Occupations
The most common Natural Resources, Construction and Maintenance occupations in Zip Code 41773 are Installation, Maintenance & Repair (39 | 12.1%), Construction & Extraction (13 | 4.0%), and Farming, Fishing & Forestry (8 | 2.5%).
Natural Resources, Construction and Maintenance Occupations by Sex
| Occupation | Male | Female |
| Farming, Fishing & Forestry | 8 (100.0%) | 0 (0.0%) |
| Construction & Extraction | 13 (100.0%) | 0 (0.0%) |
| Installation, Maintenance & Repair | 39 (100.0%) | 0 (0.0%) |
| Total (Category) | 60 (100.0%) | 0 (0.0%) |
| Total (Overall) | 164 (50.8%) | 159 (49.2%) |
Production, Transportation and Moving Occupations
The most common Production, Transportation and Moving occupations in Zip Code 41773 are Transportation (21 | 6.5%), Material Moving (8 | 2.5%), and Production (1 | 0.3%).
Production, Transportation and Moving Occupations by Sex
| Occupation | Male | Female |
| Production | 0 (0.0%) | 1 (100.0%) |
| Transportation | 21 (100.0%) | 0 (0.0%) |
| Material Moving | 8 (100.0%) | 0 (0.0%) |
| Total (Category) | 29 (96.7%) | 1 (3.3%) |
| Total (Overall) | 164 (50.8%) | 159 (49.2%) |
Employment Industries by Sex in Zip Code 41773
Employment Industries in Zip Code 41773
The major employment industries in Zip Code 41773 include Health Care & Social Assistance (74 | 22.9%), Construction (47 | 14.5%), Public Administration (42 | 13.0%), Utilities (26 | 8.1%), and Finance & Insurance (22 | 6.8%).
Employment Industries by Sex in Zip Code 41773
The Zip Code 41773 industries that see more men than women are Agriculture, Fishing & Hunting (100.0%), Mining, Quarrying, & Extraction (100.0%), and Construction (100.0%), whereas the industries that tend to have a higher number of women are Finance & Insurance (100.0%), Educational Services (100.0%), and Health Care & Social Assistance (100.0%).
| Industry | Male | Female |
| Agriculture, Fishing & Hunting | 8 (100.0%) | 0 (0.0%) |
| Mining, Quarrying, & Extraction | 10 (100.0%) | 0 (0.0%) |
| Construction | 47 (100.0%) | 0 (0.0%) |
| Manufacturing | 0 (0.0%) | 0 (0.0%) |
| Wholesale Trade | 4 (50.0%) | 4 (50.0%) |
| Retail Trade | 7 (50.0%) | 7 (50.0%) |
| Transportation & Warehousing | 10 (100.0%) | 0 (0.0%) |
| Utilities | 16 (61.5%) | 10 (38.5%) |
| Information | 0 (0.0%) | 0 (0.0%) |
| Finance & Insurance | 0 (0.0%) | 22 (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%) | 14 (100.0%) |
| Health Care & Social Assistance | 0 (0.0%) | 74 (100.0%) |
| Arts, Entertainment & Recreation | 19 (100.0%) | 0 (0.0%) |
| Accommodation & Food Services | 9 (45.0%) | 11 (55.0%) |
| Public Administration | 29 (69.1%) | 13 (30.9%) |
| Total | 164 (50.8%) | 159 (49.2%) |
Education in Zip Code 41773
School Enrollment in Zip Code 41773
The most common levels of schooling among the 277 students in Zip Code 41773 are middle school (102 | 36.8%), elementary school (99 | 35.7%), and high school (57 | 20.6%).
| School Level | # Students | % Students |
| Nursery / Preschool | 15 | 5.4% |
| Kindergarten | 0 | 0.0% |
| Elementary School | 99 | 35.7% |
| Middle School | 102 | 36.8% |
| High School | 57 | 20.6% |
| College / Undergraduate | 2 | 0.7% |
| Graduate / Professional | 2 | 0.7% |
| Total | 277 | 100.0% |
School Enrollment by Age by Funding Source in Zip Code 41773
| Age Bracket | Public School | Private School |
| 3 to 4 Year Olds | 9 (100.0%) | 0 (0.0%) |
| 5 to 9 Year Old | 96 (100.0%) | 0 (0.0%) |
| 10 to 14 Year Olds | 105 (100.0%) | 0 (0.0%) |
| 15 to 17 Year Olds | 44 (100.0%) | 0 (0.0%) |
| 18 to 19 Year Olds | 0 (0.0%) | 0 (0.0%) |
| 20 to 24 Year Olds | 21 (100.0%) | 0 (0.0%) |
| 25 to 34 Year Olds | 0 (0.0%) | 0 (0.0%) |
| 35 Years and over | 2 (100.0%) | 0 (0.0%) |
| Total | 277 (100.0%) | 0 (0.0%) |
Educational Attainment by Field of Study in Zip Code 41773
Education (47 | 78.3%), business (7 | 11.7%), arts & humanities (4 | 6.7%), and physical & health sciences (2 | 3.3%) are the most common fields of study among 60 individuals in Zip Code 41773 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 | 2 | 3.3% |
| Psychology | 0 | 0.0% |
| Social Sciences | 0 | 0.0% |
| Engineering | 0 | 0.0% |
| Multidisciplinary Studies | 0 | 0.0% |
| Science & Technology | 0 | 0.0% |
| Business | 7 | 11.7% |
| Education | 47 | 78.3% |
| Literature & Languages | 0 | 0.0% |
| Liberal Arts & History | 0 | 0.0% |
| Visual & Performing Arts | 0 | 0.0% |
| Communications | 0 | 0.0% |
| Arts & Humanities | 4 | 6.7% |
| Total | 60 | 100.0% |
Transportation & Commute in Zip Code 41773
Vehicle Availability by Sex in Zip Code 41773
The most prevalent vehicle ownership categories in Zip Code 41773 are males with 2 vehicles (129, accounting for 78.7%) and females with 2 vehicles (73, making up 81.1%).
| Vehicles Available | Male | Female |
| No Vehicle | 0 (0.0%) | 0 (0.0%) |
| 1 Vehicle | 31 (18.9%) | 62 (39.0%) |
| 2 Vehicles | 129 (78.7%) | 73 (45.9%) |
| 3 Vehicles | 0 (0.0%) | 19 (11.9%) |
| 4 Vehicles | 0 (0.0%) | 0 (0.0%) |
| 5 or more Vehicles | 4 (2.4%) | 5 (3.1%) |
| Total | 164 (100.0%) | 159 (100.0%) |
Commute Time in Zip Code 41773
The most frequently occuring commute durations in Zip Code 41773 are 20 to 24 minutes (90 commuters, 36.7%), 5 to 9 minutes (40 commuters, 16.3%), and 45 to 59 minutes (32 commuters, 13.1%).
| Commute Time | # Commuters | % Commuters |
| Less than 5 Minutes | 15 | 6.1% |
| 5 to 9 Minutes | 40 | 16.3% |
| 10 to 14 Minutes | 0 | 0.0% |
| 15 to 19 Minutes | 13 | 5.3% |
| 20 to 24 Minutes | 90 | 36.7% |
| 25 to 29 Minutes | 9 | 3.7% |
| 30 to 34 Minutes | 21 | 8.6% |
| 35 to 39 Minutes | 0 | 0.0% |
| 40 to 44 Minutes | 0 | 0.0% |
| 45 to 59 Minutes | 32 | 13.1% |
| 60 to 89 Minutes | 22 | 9.0% |
| 90 or more Minutes | 3 | 1.2% |
Commute Time by Sex in Zip Code 41773
The most common commute times in Zip Code 41773 are 5 to 9 minutes (35 commuters, 27.6%) for males and 20 to 24 minutes (55 commuters, 46.6%) for females.
| Commute Time | Male | Female |
| Less than 5 Minutes | 5 (3.9%) | 10 (8.5%) |
| 5 to 9 Minutes | 35 (27.6%) | 5 (4.2%) |
| 10 to 14 Minutes | 0 (0.0%) | 0 (0.0%) |
| 15 to 19 Minutes | 0 (0.0%) | 13 (11.0%) |
| 20 to 24 Minutes | 35 (27.6%) | 55 (46.6%) |
| 25 to 29 Minutes | 0 (0.0%) | 9 (7.6%) |
| 30 to 34 Minutes | 9 (7.1%) | 12 (10.2%) |
| 35 to 39 Minutes | 0 (0.0%) | 0 (0.0%) |
| 40 to 44 Minutes | 0 (0.0%) | 0 (0.0%) |
| 45 to 59 Minutes | 32 (25.2%) | 0 (0.0%) |
| 60 to 89 Minutes | 8 (6.3%) | 14 (11.9%) |
| 90 or more Minutes | 3 (2.4%) | 0 (0.0%) |
Time of Departure to Work by Sex in Zip Code 41773
The most frequent times of departure to work in Zip Code 41773 are 7:00 AM to 7:29 AM (47, 37.0%) for males and 4:00 PM to 11:59 PM (30, 25.4%) for females.
| Time of Departure | Male | Female |
| 12:00 AM to 4:59 AM | 3 (2.4%) | 0 (0.0%) |
| 5:00 AM to 5:29 AM | 0 (0.0%) | 0 (0.0%) |
| 5:30 AM to 5:59 AM | 16 (12.6%) | 0 (0.0%) |
| 6:00 AM to 6:29 AM | 7 (5.5%) | 0 (0.0%) |
| 6:30 AM to 6:59 AM | 11 (8.7%) | 22 (18.6%) |
| 7:00 AM to 7:29 AM | 47 (37.0%) | 9 (7.6%) |
| 7:30 AM to 7:59 AM | 0 (0.0%) | 26 (22.0%) |
| 8:00 AM to 8:29 AM | 0 (0.0%) | 9 (7.6%) |
| 8:30 AM to 8:59 AM | 0 (0.0%) | 2 (1.7%) |
| 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 | 5 (3.9%) | 0 (0.0%) |
| 12:00 PM to 3:59 PM | 28 (22.1%) | 20 (17.0%) |
| 4:00 PM to 11:59 PM | 10 (7.9%) | 30 (25.4%) |
| Total | 127 (100.0%) | 118 (100.0%) |
Housing Occupancy in Zip Code 41773
Occupancy by Ownership in Zip Code 41773
Of the total 504 dwellings in Zip Code 41773, owner-occupied units account for 368 (73.0%), while renter-occupied units make up 136 (27.0%).
| Occupancy | # Housing Units | % Housing Units |
| Owner Occupied Housing Units | 368 | 73.0% |
| Renter-Occupied Housing Units | 136 | 27.0% |
| Total Occupied Housing Units | 504 | 100.0% |
Occupancy by Household Size in Zip Code 41773
| Household Size | # Housing Units | % Housing Units |
| 1-Person Household | 160 | 31.8% |
| 2-Person Household | 200 | 39.7% |
| 3-Person Household | 68 | 13.5% |
| 4+ Person Household | 76 | 15.1% |
| Total Housing Units | 504 | 100.0% |
Occupancy by Ownership by Household Size in Zip Code 41773
| Household Size | Owner-occupied | Renter-occupied |
| 1-Person Household | 113 (70.6%) | 47 (29.4%) |
| 2-Person Household | 179 (89.5%) | 21 (10.5%) |
| 3-Person Household | 24 (35.3%) | 44 (64.7%) |
| 4+ Person Household | 52 (68.4%) | 24 (31.6%) |
| Total Housing Units | 368 (73.0%) | 136 (27.0%) |
Occupancy by Educational Attainment in Zip Code 41773
| Household Size | Owner-occupied | Renter-occupied |
| Less than High School | 159 (75.7%) | 51 (24.3%) |
| High School Diploma | 77 (65.2%) | 41 (34.7%) |
| College/Associate Degree | 104 (72.2%) | 40 (27.8%) |
| Bachelor's Degree or higher | 28 (87.5%) | 4 (12.5%) |
Occupancy by Age of Householder in Zip Code 41773
| Age Bracket | # Households | % Households |
| Under 35 Years | 123 | 24.4% |
| 35 to 44 Years | 22 | 4.4% |
| 45 to 54 Years | 59 | 11.7% |
| 55 to 64 Years | 132 | 26.2% |
| 65 to 74 Years | 110 | 21.8% |
| 75 to 84 Years | 34 | 6.8% |
| 85 Years and Over | 24 | 4.8% |
| Total | 504 | 100.0% |
Housing Finances in Zip Code 41773
Median Income by Occupancy in Zip Code 41773
| Occupancy Type | # Households | Median Income |
| Owner-Occupied | 368 (73.0%) | $28,953 |
| Renter-Occupied | 136 (27.0%) | $15,682 |
| Average | 504 (100.0%) | $26,420 |
Occupancy by Householder Income Bracket in Zip Code 41773
| Income Bracket | Owner-occupied | Renter-occupied |
| Less than $5,000 | 45 (12.2%) | 24 (17.6%) |
| $5,000 to $9,999 | 33 (9.0%) | 26 (19.1%) |
| $10,000 to $14,999 | 34 (9.2%) | 12 (8.8%) |
| $15,000 to $19,999 | 19 (5.2%) | 22 (16.2%) |
| $20,000 to $24,999 | 10 (2.7%) | 2 (1.5%) |
| $25,000 to $34,999 | 87 (23.6%) | 37 (27.2%) |
| $35,000 to $49,999 | 36 (9.8%) | 13 (9.6%) |
| $50,000 to $74,999 | 58 (15.8%) | 0 (0.0%) |
| $75,000 to $99,999 | 23 (6.2%) | 0 (0.0%) |
| $100,000 to $149,999 | 23 (6.2%) | 0 (0.0%) |
| $150,000 or more | 0 (0.0%) | 0 (0.0%) |
| Total | 368 (100.0%) | 136 (100.0%) |
Monthly Housing Cost Tiers in Zip Code 41773
| Monthly Cost | Owner-occupied | Renter-occupied |
| Less than $300 | 154 (41.8%) | 0 (0.0%) |
| $300 to $499 | 132 (35.9%) | 52 (38.2%) |
| $500 to $799 | 28 (7.6%) | 30 (22.1%) |
| $800 to $999 | 33 (9.0%) | 11 (8.1%) |
| $1,000 to $1,499 | 20 (5.4%) | 22 (16.2%) |
| $1,500 to $1,999 | 1 (0.3%) | 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 | 368 (100.0%) | 136 (100.0%) |
Physical Housing Characteristics in Zip Code 41773
Housing Structures in Zip Code 41773
| Structure Type | # Housing Units | % Housing Units |
| Single Unit, Detached | 255 | 50.6% |
| Single Unit, Attached | 6 | 1.2% |
| 2 Unit Apartments | 8 | 1.6% |
| 3 or 4 Unit Apartments | 6 | 1.2% |
| 5 to 9 Unit Apartments | 0 | 0.0% |
| 10 or more Apartments | 0 | 0.0% |
| Mobile Home / Other | 229 | 45.4% |
| Total | 504 | 100.0% |
Housing Structures by Occupancy in Zip Code 41773
| Structure Type | Owner-occupied | Renter-occupied |
| Single Unit, Detached | 225 (88.2%) | 30 (11.8%) |
| Single Unit, Attached | 6 (100.0%) | 0 (0.0%) |
| 2 Unit Apartments | 8 (100.0%) | 0 (0.0%) |
| 3 or 4 Unit Apartments | 0 (0.0%) | 6 (100.0%) |
| 5 to 9 Unit Apartments | 0 (0.0%) | 0 (0.0%) |
| 10 or more Apartments | 0 (0.0%) | 0 (0.0%) |
| Mobile Home / Other | 129 (56.3%) | 100 (43.7%) |
| Total | 368 (73.0%) | 136 (27.0%) |
Housing Structures by Number of Rooms in Zip Code 41773
| Number of Rooms | Owner-occupied | Renter-occupied |
| 1 Room | 0 (0.0%) | 0 (0.0%) |
| 2 or 3 Rooms | 22 (6.0%) | 6 (4.4%) |
| 4 or 5 Rooms | 153 (41.6%) | 96 (70.6%) |
| 6 or 7 Rooms | 142 (38.6%) | 27 (19.9%) |
| 8 or more Rooms | 51 (13.9%) | 7 (5.1%) |
| Total | 368 (100.0%) | 136 (100.0%) |
Housing Structure by Heating Type in Zip Code 41773
| Heating Type | Owner-occupied | Renter-occupied |
| Utility Gas | 43 (11.7%) | 2 (1.5%) |
| Bottled, Tank, or LP Gas | 21 (5.7%) | 4 (2.9%) |
| Electricity | 264 (71.7%) | 126 (92.6%) |
| Fuel Oil or Kerosene | 15 (4.1%) | 2 (1.5%) |
| Coal or Coke | 13 (3.5%) | 2 (1.5%) |
| All other Fuels | 12 (3.3%) | 0 (0.0%) |
| No Fuel Used | 0 (0.0%) | 0 (0.0%) |
| Total | 368 (100.0%) | 136 (100.0%) |
Household Vehicle Usage in Zip Code 41773
| Vehicles per Household | Owner-occupied | Renter-occupied |
| No Vehicle | 66 (17.9%) | 6 (4.4%) |
| 1 Vehicle | 123 (33.4%) | 84 (61.8%) |
| 2 Vehicles | 153 (41.6%) | 46 (33.8%) |
| 3 or more Vehicles | 26 (7.1%) | 0 (0.0%) |
| Total | 368 (100.0%) | 136 (100.0%) |
Real Estate & Mortgages in Zip Code 41773
Real Estate and Mortgage Overview in Zip Code 41773
| Characteristic | Without Mortgage | With Mortgage |
| Housing Units | 298 | 70 |
| Median Property Value | $34,100 | $104,700 |
| Median Household Income | $27,500 | $0 |
| Monthly Housing Costs | $294 | $0 |
| Real Estate Taxes | $442 | $0 |
Property Value by Mortgage Status in Zip Code 41773
| Property Value | Without Mortgage | With Mortgage |
| Less than $50,000 | 194 (65.1%) | 12 (17.1%) |
| $50,000 to $99,999 | 56 (18.8%) | 16 (22.9%) |
| $100,000 to $299,999 | 38 (12.8%) | 42 (60.0%) |
| $300,000 to $499,999 | 0 (0.0%) | 0 (0.0%) |
| $500,000 to $749,999 | 10 (3.4%) | 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 | 298 (100.0%) | 70 (100.0%) |
Household Income by Mortgage Status in Zip Code 41773
| Household Income | Without Mortgage | With Mortgage |
| Less than $10,000 | 78 (26.2%) | 0 (0.0%) |
| $10,000 to $24,999 | 53 (17.8%) | 0 (0.0%) |
| $25,000 to $34,999 | 55 (18.5%) | 10 (14.3%) |
| $35,000 to $49,999 | 28 (9.4%) | 32 (45.7%) |
| $50,000 to $74,999 | 40 (13.4%) | 8 (11.4%) |
| $75,000 to $99,999 | 23 (7.7%) | 18 (25.7%) |
| $100,000 to $149,999 | 21 (7.0%) | 0 (0.0%) |
| $150,000 or more | 0 (0.0%) | 2 (2.9%) |
| Total | 298 (100.0%) | 70 (100.0%) |
Property Value to Household Income Ratio in Zip Code 41773
| Value-to-Income Ratio | Without Mortgage | With Mortgage |
| Less than 2.0x | 230 (77.2%) | 29,453 (42,075.7%) |
| 2.0x to 2.9x | 4 (1.3%) | 27 (38.6%) |
| 3.0x to 3.9x | 31 (10.4%) | 1 (1.4%) |
| 4.0x or more | 27 (9.1%) | 27 (38.6%) |
| Total | 298 (100.0%) | 70 (100.0%) |
Real Estate Taxes by Mortgage Status in Zip Code 41773
| Property Taxes | Without Mortgage | With Mortgage |
| Less than $800 | 146 (49.0%) | 0 (0.0%) |
| $800 to $1,499 | 27 (9.1%) | 37 (52.9%) |
| $800 to $1,499 | 0 (0.0%) | 33 (47.1%) |
| Total | 298 (100.0%) | 70 (100.0%) |
Health & Disability in Zip Code 41773
Health Insurance Coverage by Age in Zip Code 41773
| Age Bracket | With Coverage | Without Coverage |
| Under 6 Years | 58 (100.0%) | 0 (0.0%) |
| 6 to 18 Years | 209 (86.7%) | 32 (13.3%) |
| 19 to 25 Years | 56 (51.8%) | 52 (48.1%) |
| 26 to 34 Years | 94 (58.4%) | 67 (41.6%) |
| 35 to 44 Years | 58 (85.3%) | 10 (14.7%) |
| 45 to 54 Years | 102 (78.5%) | 28 (21.5%) |
| 55 to 64 Years | 178 (100.0%) | 0 (0.0%) |
| 65 to 74 Years | 176 (100.0%) | 0 (0.0%) |
| 75 Years and older | 64 (100.0%) | 0 (0.0%) |
| Total | 995 (84.0%) | 189 (16.0%) |
Health Insurance Coverage by Citizenship Status in Zip Code 41773
| Citizenship Status | With Coverage | Without Coverage |
| Native Born | 58 (100.0%) | 0 (0.0%) |
| Foreign Born, Citizen | 209 (86.7%) | 32 (13.3%) |
| Foreign Born, not a Citizen | 56 (51.8%) | 52 (48.1%) |
Health Insurance Coverage by Household Income in Zip Code 41773
| Household Income | With Coverage | Without Coverage |
| Under $25,000 | 462 (90.6%) | 48 (9.4%) |
| $25,000 to $49,999 | 350 (87.5%) | 50 (12.5%) |
| $50,000 to $74,999 | 101 (52.6%) | 91 (47.4%) |
| $75,000 to $99,999 | 34 (100.0%) | 0 (0.0%) |
| $100,000 and over | 48 (100.0%) | 0 (0.0%) |
Public vs Private Health Insurance Coverage by Age in Zip Code 41773
| Age Bracket | Public Insurance | Private Insurance |
| Under 6 | 39 (67.2%) | 26 (44.8%) |
| 6 to 18 Years | 199 (82.6%) | 10 (4.2%) |
| 19 to 25 Years | 56 (51.8%) | 0 (0.0%) |
| 25 to 34 Years | 72 (44.7%) | 26 (16.2%) |
| 35 to 44 Years | 38 (55.9%) | 20 (29.4%) |
| 45 to 54 Years | 84 (64.6%) | 26 (20.0%) |
| 55 to 64 Years | 113 (63.5%) | 68 (38.2%) |
| 65 to 74 Years | 167 (94.9%) | 72 (40.9%) |
| 75 Years and over | 64 (100.0%) | 7 (10.9%) |
| Total | 832 (70.3%) | 255 (21.5%) |
Disability Status by Sex by Age in Zip Code 41773
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 85 (50.0%) | 0 (0.0%) |
| 18 to 34 Years | 20 (13.3%) | 17 (14.2%) |
| 35 to 64 Years | 112 (61.2%) | 81 (42.0%) |
| 65 to 74 Years | 47 (51.1%) | 69 (82.1%) |
| 75 Years and over | 12 (66.7%) | 43 (93.5%) |
Disability Class by Sex by Age in Zip Code 41773
Disability Class: Hearing Difficulty
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 2 (1.2%) | 0 (0.0%) |
| 18 to 34 Years | 8 (5.3%) | 0 (0.0%) |
| 35 to 64 Years | 28 (15.3%) | 23 (11.9%) |
| 65 to 74 Years | 19 (20.6%) | 26 (30.9%) |
| 75 Years and over | 0 (0.0%) | 7 (15.2%) |
Disability Class: Vision Difficulty
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 13 (7.6%) | 0 (0.0%) |
| 18 to 34 Years | 0 (0.0%) | 2 (1.7%) |
| 35 to 64 Years | 18 (9.8%) | 20 (10.4%) |
| 65 to 74 Years | 7 (7.6%) | 10 (11.9%) |
| 75 Years and over | 1 (5.6%) | 0 (0.0%) |
Disability Class: Cognitive Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 70 (41.2%) | 0 (0.0%) |
| 18 to 34 Years | 12 (8.0%) | 4 (3.3%) |
| 35 to 64 Years | 28 (15.3%) | 43 (22.3%) |
| 65 to 74 Years | 17 (18.5%) | 14 (16.7%) |
| 75 Years and over | 1 (5.6%) | 7 (15.2%) |
Disability Class: Ambulatory Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 28 (16.5%) | 0 (0.0%) |
| 18 to 34 Years | 0 (0.0%) | 0 (0.0%) |
| 35 to 64 Years | 90 (49.2%) | 59 (30.6%) |
| 65 to 74 Years | 42 (45.7%) | 39 (46.4%) |
| 75 Years and over | 12 (66.7%) | 32 (69.6%) |
Disability Class: Self-Care Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 58 (34.1%) | 0 (0.0%) |
| 18 to 34 Years | 0 (0.0%) | 0 (0.0%) |
| 35 to 64 Years | 28 (15.3%) | 28 (14.5%) |
| 65 to 74 Years | 0 (0.0%) | 6 (7.1%) |
| 75 Years and over | 0 (0.0%) | 0 (0.0%) |
Technology Access in Zip Code 41773
Computing Device Access in Zip Code 41773
| Device Type | # Households | % Households |
| Desktop or Laptop | 216 | 42.9% |
| Smartphone | 273 | 54.2% |
| Tablet | 212 | 42.1% |
| No Computing Device | 155 | 30.7% |
| Total | 504 | 100.0% |
Internet Access in Zip Code 41773
| Internet Type | # Households | % Households |
| Dial-Up Internet | 0 | 0.0% |
| Broadband Home | 312 | 61.9% |
| Cellular Data Only | 50 | 9.9% |
| Satellite Internet | 5 | 1.0% |
| No Internet | 135 | 26.8% |
| Total | 504 | 100.0% |
Common Questions
What is the Total Population of Zip Code 41773?
Total Population of Zip Code 41773 is 1,184.
What is the Total Male Population of Zip Code 41773?
Total Male Population of Zip Code 41773 is 651.
What is the Total Female Population of Zip Code 41773?
Total Female Population of Zip Code 41773 is 533.
What is the Ratio of Males per 100 Females in Zip Code 41773?
There are 122.14 Males per 100 Females in Zip Code 41773.
What is the Ratio of Females per 100 Males in Zip Code 41773?
There are 81.87 Females per 100 Males in Zip Code 41773.
What is the Median Population Age in Zip Code 41773?
Median Population Age in Zip Code 41773 is 38.8 Years.
What is the Average Family Size in Zip Code 41773
Average Family Size in Zip Code 41773 is 2.9 People.
What is the Average Household Size in Zip Code 41773
Average Household Size in Zip Code 41773 is 2.4 People.
What is Per Capita Income in Zip Code 41773?
Per Capita income in Zip Code 41773 is $14,389.
What is the Median Family Income in Zip Code 41773?
Median Family Income in Zip Code 41773 is $27,917.
What is the Median Household income in Zip Code 41773?
Median Household Income in Zip Code 41773 is $26,420.
What is Income or Wage Gap in Zip Code 41773?
Income or Wage Gap in Zip Code 41773 is 34.0%.
Women in Zip Code 41773 earn 66.0 cents for every dollar earned by a man.
What is Inequality or Gini Index in Zip Code 41773?
Inequality or Gini Index in Zip Code 41773 is 0.48.
How Large is the Labor Force in Zip Code 41773?
There are 372 People in the Labor Forcein in Zip Code 41773.
What is the Percentage of People in the Labor Force in Zip Code 41773?
40.2% of People are in the Labor Force in Zip Code 41773.
What is the Unemployment Rate in Zip Code 41773?
Unemployment Rate in Zip Code 41773 is 13.2%.