Zip Code 31773
Zip Code 31773 Map
Zip Code 31773 Overview
4,181
TOTAL POPULATION
2,320
MALE POPULATION
1,861
FEMALE POPULATION
124.66
MALES / 100 FEMALES
80.22
FEMALES / 100 MALES
48.3
MEDIAN AGE
3.0
AVG FAMILY SIZE
2.4
AVG HOUSEHOLD SIZE
$32,493
PER CAPITA INCOME
$83,906
AVG FAMILY INCOME
$69,286
AVG HOUSEHOLD INCOME
45.9%
WAGE / INCOME GAP [ % ]
54.1¢/ $1
WAGE / INCOME GAP [ $ ]
0.41
INEQUALITY / GINI INDEX
1,933
LABOR FORCE [ PEOPLE ]
56.8%
PERCENT IN LABOR FORCE
6.8%
UNEMPLOYMENT RATE
Zip Code 31773 Area Codes
Race in Zip Code 31773
The most populous races in Zip Code 31773 are White / Caucasian (3,121 | 74.7%), Black / African American (742 | 17.7%), and Two or more Races (289 | 6.9%).
| Race | # Population | % Population |
| Asian | 24 | 0.6% |
| Black / African American | 742 | 17.7% |
| Hawaiian / Pacific | 0 | 0.0% |
| Hispanic or Latino | 48 | 1.1% |
| Native / Alaskan | 5 | 0.1% |
| White / Caucasian | 3,121 | 74.7% |
| Two or more Races | 289 | 6.9% |
| Some other Race | 0 | 0.0% |
| Total | 4,181 | 100.0% |
Ancestry in Zip Code 31773
The most populous ancestries reported in Zip Code 31773 are German (627 | 15.0%), Irish (367 | 8.8%), English (284 | 6.8%), Italian (203 | 4.9%), and American (188 | 4.5%), together accounting for 39.9% of all Zip Code 31773 residents.
| Ancestry | # Population | % Population |
| African | 16 | 0.4% |
| American | 188 | 4.5% |
| Bhutanese | 76 | 1.8% |
| Cherokee | 97 | 2.3% |
| Creek | 42 | 1.0% |
| Dutch | 41 | 1.0% |
| Eastern European | 33 | 0.8% |
| English | 284 | 6.8% |
| European | 45 | 1.1% |
| French | 4 | 0.1% |
| German | 627 | 15.0% |
| Irish | 367 | 8.8% |
| Italian | 203 | 4.9% |
| Korean | 10 | 0.2% |
| Mexican | 35 | 0.8% |
| Native Hawaiian | 10 | 0.2% |
| Northern European | 10 | 0.2% |
| Norwegian | 32 | 0.8% |
| Puerto Rican | 13 | 0.3% |
| Scotch-Irish | 13 | 0.3% |
| Scottish | 149 | 3.6% |
| Sri Lankan | 24 | 0.6% |
| Subsaharan African | 16 | 0.4% |
| Welsh | 120 | 2.9% | View All 24 Rows |
Immigrants in Zip Code 31773
The most numerous immigrant groups reported in Zip Code 31773 came from Asia (11 | 0.3%), South Eastern Asia (11 | 0.3%), Vietnam (11 | 0.3%), Africa (4 | 0.1%), and Morocco (2 | 0.1%), together accounting for 0.9% of all Zip Code 31773 residents.
| Immigration Origin | # Population | % Population |
| Africa | 4 | 0.1% |
| Asia | 11 | 0.3% |
| Morocco | 2 | 0.1% |
| Northern Africa | 2 | 0.1% |
| South Africa | 2 | 0.1% |
| South Eastern Asia | 11 | 0.3% |
| Vietnam | 11 | 0.3% | View All 7 Rows |
Sex and Age in Zip Code 31773
Sex and Age in Zip Code 31773
The most populous age groups in Zip Code 31773 are 60 to 64 Years (304 | 13.1%) for men and 55 to 59 Years (241 | 13.0%) for women.
| Age Bracket | Male | Female |
| Under 5 Years | 38 (1.6%) | 164 (8.8%) |
| 5 to 9 Years | 92 (4.0%) | 71 (3.8%) |
| 10 to 14 Years | 201 (8.7%) | 177 (9.5%) |
| 15 to 19 Years | 70 (3.0%) | 41 (2.2%) |
| 20 to 24 Years | 182 (7.8%) | 89 (4.8%) |
| 25 to 29 Years | 165 (7.1%) | 43 (2.3%) |
| 30 to 34 Years | 24 (1.0%) | 18 (1.0%) |
| 35 to 39 Years | 181 (7.8%) | 141 (7.6%) |
| 40 to 44 Years | 126 (5.4%) | 82 (4.4%) |
| 45 to 49 Years | 250 (10.8%) | 71 (3.8%) |
| 50 to 54 Years | 127 (5.5%) | 70 (3.8%) |
| 55 to 59 Years | 162 (7.0%) | 241 (13.0%) |
| 60 to 64 Years | 304 (13.1%) | 207 (11.1%) |
| 65 to 69 Years | 161 (6.9%) | 160 (8.6%) |
| 70 to 74 Years | 58 (2.5%) | 88 (4.7%) |
| 75 to 79 Years | 70 (3.0%) | 117 (6.3%) |
| 80 to 84 Years | 69 (3.0%) | 57 (3.1%) |
| 85 Years and over | 40 (1.7%) | 24 (1.3%) |
| Total | 2,320 (100.0%) | 1,861 (100.0%) |
Families and Households in Zip Code 31773
Median Family Size in Zip Code 31773
The median family size in Zip Code 31773 is 3.05 persons per family, with married-couple families (921 | 84.4%) accounting for the largest median family size of 3.08 persons per family. On the other hand, single female/mother families (80 | 7.3%) represent the smallest median family size with 2.81 persons per family.
| Family Type | # Families | Family Size |
| Married-Couple | 921 (84.4%) | 3.08 |
| Single Male/Father | 90 (8.3%) | 2.96 |
| Single Female/Mother | 80 (7.3%) | 2.81 |
| Total Families | 1,091 (100.0%) | 3.05 |
Median Household Size in Zip Code 31773
The median household size in Zip Code 31773 is 2.41 persons per household, with single male/father households (90 | 5.2%) accounting for the largest median household size of 3.2 persons per household. non-family households (635 | 36.8%) represent the smallest median household size with 1.25 persons per household.
| Household Type | # Households | Household Size |
| Married-Couple | 921 (53.4%) | 3.08 |
| Single Male/Father | 90 (5.2%) | 3.20 |
| Single Female/Mother | 80 (4.6%) | 2.85 |
| Non-family | 635 (36.8%) | 1.25 |
| Total Households | 1,726 (100.0%) | 2.41 |
Household Size by Marriage Status in Zip Code 31773
Out of a total of 1,726 households in Zip Code 31773, 1,091 (63.2%) are family households, while 635 (36.8%) are nonfamily households. The most numerous type of family households are 2-person households, comprising 503, and the most common type of nonfamily households are 1-person households, comprising 478.
| Household Size | Family Households | Nonfamily Households |
| 1-Person Households | - | 478 (27.7%) |
| 2-Person Households | 503 (29.1%) | 143 (8.3%) |
| 3-Person Households | 258 (14.9%) | 14 (0.8%) |
| 4-Person Households | 108 (6.3%) | 0 (0.0%) |
| 5-Person Households | 155 (9.0%) | 0 (0.0%) |
| 6-Person Households | 63 (3.6%) | 0 (0.0%) |
| 7+ Person Households | 4 (0.2%) | 0 (0.0%) |
| Total | 1,091 (63.2%) | 635 (36.8%) |
Female Fertility in Zip Code 31773
Fertility by Age in Zip Code 31773
Average fertility rate in Zip Code 31773 is 70.0 births per 1,000 women. Women in the age bracket of 20 to 34 years have the highest fertility rate with 213.0 births per 1,000 women. Women in the age bracket of 20 to 34 years acount for 91.4% 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 | 32 (91.4%) | 213.0 |
| 35 to 50 years | 3 (8.6%) | 10.0 |
| Total | 35 (100.0%) | 70.0 |
Fertility by Age by Marriage Status in Zip Code 31773
91.4% of women with births (35) in Zip Code 31773 are married. The highest percentage of unmarried women with births falls into 35 to 50 years age bracket with 100.0% of them unmarried at the time of birth, while the lowest percentage of unmarried women with births belong to 20 to 34 years age bracket with 0.0% of them unmarried.
| Age Bracket | Married | Unmarried |
| 15 to 19 years | 0 (0.0%) | 0 (0.0%) |
| 20 to 34 years | 32 (100.0%) | 0 (0.0%) |
| 35 to 50 years | 0 (0.0%) | 3 (100.0%) |
| Total | 32 (91.4%) | 3 (8.6%) |
Fertility by Education in Zip Code 31773
| Educational Attainment | Women with Births | Births / 1,000 Women |
| Less than High School | 0 (0.0%) | 0.0 |
| High School Diploma | 3 (8.6%) | 31.0 |
| College or Associate's Degree | 32 (91.4%) | 124.0 |
| Bachelor's Degree | 0 (0.0%) | 0.0 |
| Graduate Degree | 0 (0.0%) | 0.0 |
| Total | 35 (100.0%) | 70.0 |
Fertility by Education by Marriage Status in Zip Code 31773
8.6% of women with births in Zip Code 31773 are unmarried. Women with the educational attainment of college or associate's degree are most likely to be married with 100.0% of them married at childbirth, while women with the educational attainment of high school diploma are least likely to be married with 100.0% of them unmarried at childbirth.
| Educational Attainment | Married | Unmarried |
| Less than High School | 0 (0.0%) | 0 (0.0%) |
| High School Diploma | 0 (0.0%) | 3 (100.0%) |
| College or Associate's Degree | 32 (100.0%) | 0 (0.0%) |
| Bachelor's Degree | 0 (0.0%) | 0 (0.0%) |
| Graduate Degree | 0 (0.0%) | 0 (0.0%) |
| Total | 32 (91.4%) | 3 (8.6%) |
Income in Zip Code 31773
Income Overview in Zip Code 31773
Per Capita Income in Zip Code 31773 is $32,493, while median incomes of families and households are $83,906 and $69,286 respectively.
| Characteristic | Number | Measure |
| Per Capita Income | 4,181 | $32,493 |
| Median Family Income | 1,091 | $83,906 |
| Mean Family Income | 1,091 | $94,960 |
| Median Household Income | 1,726 | $69,286 |
| Mean Household Income | 1,726 | $81,058 |
| Income Deficit | 1,091 | $0 |
| Wage / Income Gap (%) | 4,181 | 45.89% |
| Wage / Income Gap ($) | 4,181 | 54.11¢ per $1 |
| Gini / Inequality Index | 4,181 | 0.41 |
Earnings by Sex in Zip Code 31773
Average Earnings in Zip Code 31773 are $41,721, $58,362 for men and $31,579 for women, a difference of 45.9%.
| Sex | Number | Average Earnings |
| Male | 1,271 (61.0%) | $58,362 |
| Female | 814 (39.0%) | $31,579 |
| Total | 2,085 (100.0%) | $41,721 |
Earnings by Sex by Income Bracket in Zip Code 31773
The most common earnings brackets in Zip Code 31773 are $75,000 to $99,999 for men (353 | 27.8%) and $30,000 to $34,999 for women (110 | 13.5%).
| Income | Male | Female |
| $2,499 or less | 13 (1.0%) | 79 (9.7%) |
| $2,500 to $4,999 | 22 (1.7%) | 35 (4.3%) |
| $5,000 to $7,499 | 0 (0.0%) | 2 (0.3%) |
| $7,500 to $9,999 | 0 (0.0%) | 57 (7.0%) |
| $10,000 to $12,499 | 48 (3.8%) | 19 (2.3%) |
| $12,500 to $14,999 | 0 (0.0%) | 22 (2.7%) |
| $15,000 to $17,499 | 33 (2.6%) | 26 (3.2%) |
| $17,500 to $19,999 | 35 (2.8%) | 33 (4.1%) |
| $20,000 to $22,499 | 19 (1.5%) | 3 (0.4%) |
| $22,500 to $24,999 | 31 (2.4%) | 25 (3.1%) |
| $25,000 to $29,999 | 114 (9.0%) | 82 (10.1%) |
| $30,000 to $34,999 | 125 (9.8%) | 110 (13.5%) |
| $35,000 to $39,999 | 36 (2.8%) | 26 (3.2%) |
| $40,000 to $44,999 | 63 (5.0%) | 71 (8.7%) |
| $45,000 to $49,999 | 0 (0.0%) | 15 (1.8%) |
| $50,000 to $54,999 | 61 (4.8%) | 6 (0.7%) |
| $55,000 to $64,999 | 109 (8.6%) | 40 (4.9%) |
| $65,000 to $74,999 | 123 (9.7%) | 93 (11.4%) |
| $75,000 to $99,999 | 353 (27.8%) | 59 (7.2%) |
| $100,000+ | 86 (6.8%) | 11 (1.3%) |
| Total | 1,271 (100.0%) | 814 (100.0%) |
Earnings by Sex by Educational Attainment in Zip Code 31773
Average earnings in Zip Code 31773 are $67,171 for men and $33,715 for women, a difference of 49.8%. Men with an educational attainment of graduate degree enjoy the highest average annual earnings of $81,625, while those with less than high school education earn the least with $34,250. Women with an educational attainment of bachelor's degree earn the most with the average annual earnings of $68,408, while those with college or associate's degree education have the smallest earnings of $31,576.
| Educational Attainment | Male Income | Female Income |
| Less than High School | $34,250 | $0 |
| High School Diploma | $59,940 | $32,885 |
| College or Associate's Degree | $36,806 | $31,576 |
| Bachelor's Degree | $71,628 | $68,408 |
| Graduate Degree | $81,625 | $0 |
| Total | $67,171 | $33,715 |
Family Income in Zip Code 31773
Family Income Brackets in Zip Code 31773
According to the Zip Code 31773 family income data, there are 268 families falling into the $100,000 to $149,999 income range, which is the most common income bracket and makes up 24.6% of all families. Conversely, the $10,000 to $14,999 income bracket is the least frequent group with only 14 families (1.3%) belonging to this category.
| Income Bracket | # Families | % Families |
| Less than $10,000 | 50 | 4.6% |
| $10,000 to $14,999 | 14 | 1.3% |
| $15,000 to $24,999 | 94 | 8.6% |
| $25,000 to $34,999 | 112 | 10.3% |
| $35,000 to $49,999 | 97 | 8.9% |
| $50,000 to $74,999 | 141 | 12.9% |
| $75,000 to $99,999 | 81 | 7.4% |
| $100,000 to $149,999 | 268 | 24.6% |
| $150,000 to $199,999 | 176 | 16.1% |
| $200,000+ | 58 | 5.3% |
Family Income by Famaliy Size in Zip Code 31773
4-person families (92 | 8.4%) account for the highest median family income in Zip Code 31773 with $175,104 per family, while 3-person families (274 | 25.1%) have the highest median income of $44,722 per family member.
| Income Bracket | # Families | Median Income |
| 2-Person Families | 503 (46.1%) | $52,386 |
| 3-Person Families | 274 (25.1%) | $134,167 |
| 4-Person Families | 92 (8.4%) | $175,104 |
| 5-Person Families | 175 (16.0%) | $151,184 |
| 6-Person Families | 43 (3.9%) | $0 |
| 7+ Person Families | 4 (0.4%) | $0 |
| Total | 1,091 (100.0%) | $83,906 |
Family Income by Number of Earners in Zip Code 31773
| Number of Earners | # Families | Median Income |
| No Earners | 248 (22.7%) | $0 |
| 1 Earner | 315 (28.9%) | $39,968 |
| 2 Earners | 398 (36.5%) | $143,443 |
| 3+ Earners | 130 (11.9%) | $175,469 |
| Total | 1,091 (100.0%) | $83,906 |
Household Income in Zip Code 31773
Household Income Brackets in Zip Code 31773
With 306 households falling in the category, the $50,000 to $74,999 income range is the most frequent in Zip Code 31773, accounting for 17.7% of all households. In contrast, only 40 households (2.3%) fall into the $10,000 to $14,999 income bracket, making it the least populous group.
| Income Bracket | # Households | % Households |
| Less than $10,000 | 110 | 6.4% |
| $10,000 to $14,999 | 40 | 2.3% |
| $15,000 to $24,999 | 198 | 11.5% |
| $25,000 to $34,999 | 155 | 9.0% |
| $35,000 to $49,999 | 174 | 10.1% |
| $50,000 to $74,999 | 306 | 17.7% |
| $75,000 to $99,999 | 193 | 11.2% |
| $100,000 to $149,999 | 306 | 17.7% |
| $150,000 to $199,999 | 176 | 10.2% |
| $200,000+ | 67 | 3.9% |
Household Income by Householder Age in Zip Code 31773
The median household income in Zip Code 31773 is $69,286, with the highest median household income of $74,717 found in the 45 to 64 years age bracket for the primary householder. A total of 775 households (44.9%) 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 76 households (4.4%) in this group.
| Income Bracket | # Households | Median Income |
| 15 to 24 Years | 76 (4.4%) | $0 |
| 25 to 44 Years | 392 (22.7%) | $0 |
| 45 to 64 Years | 775 (44.9%) | $74,717 |
| 65+ Years | 483 (28.0%) | $37,875 |
| Total | 1,726 (100.0%) | $69,286 |
Poverty in Zip Code 31773
Income Below Poverty by Sex and Age in Zip Code 31773
With 13.7% poverty level for males and 18.6% for females among the residents of Zip Code 31773, 12 to 14 year old males and 25 to 34 year old females are the most vulnerable to poverty, with 60 males (56.1%) and 29 females (47.5%) in their respective age groups living below the poverty level.
| Age Bracket | Male | Female |
| Under 5 Years | 15 (39.5%) | 40 (24.4%) |
| 5 Years | 0 (0.0%) | 0 (0.0%) |
| 6 to 11 Years | 23 (18.5%) | 32 (47.1%) |
| 12 to 14 Years | 60 (56.1%) | 0 (0.0%) |
| 15 Years | 0 (0.0%) | 0 (0.0%) |
| 16 and 17 Years | 0 (0.0%) | 0 (0.0%) |
| 18 to 24 Years | 8 (3.6%) | 9 (9.2%) |
| 25 to 34 Years | 36 (19.1%) | 29 (47.5%) |
| 35 to 44 Years | 24 (7.8%) | 22 (9.9%) |
| 45 to 54 Years | 0 (0.0%) | 30 (21.3%) |
| 55 to 64 Years | 82 (17.6%) | 86 (19.2%) |
| 65 to 74 Years | 11 (5.0%) | 61 (24.6%) |
| 75 Years and over | 59 (33.0%) | 38 (19.2%) |
| Total | 318 (13.7%) | 347 (18.6%) |
Income Above Poverty by Sex and Age in Zip Code 31773
According to the poverty statistics in Zip Code 31773, males aged 5 years and females aged 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 | 23 (60.5%) | 124 (75.6%) |
| 5 Years | 62 (100.0%) | 10 (100.0%) |
| 6 to 11 Years | 101 (81.5%) | 36 (52.9%) |
| 12 to 14 Years | 47 (43.9%) | 170 (100.0%) |
| 15 Years | 24 (100.0%) | 11 (100.0%) |
| 16 and 17 Years | 6 (100.0%) | 21 (100.0%) |
| 18 to 24 Years | 214 (96.4%) | 89 (90.8%) |
| 25 to 34 Years | 153 (80.9%) | 32 (52.5%) |
| 35 to 44 Years | 283 (92.2%) | 201 (90.1%) |
| 45 to 54 Years | 377 (100.0%) | 111 (78.7%) |
| 55 to 64 Years | 384 (82.4%) | 362 (80.8%) |
| 65 to 74 Years | 208 (95.0%) | 187 (75.4%) |
| 75 Years and over | 120 (67.0%) | 160 (80.8%) |
| Total | 2,002 (86.3%) | 1,514 (81.4%) |
Income Below Poverty Among Married-Couple Families in Zip Code 31773
The poverty statistics for married-couple families in Zip Code 31773 show that 15.3% or 141 of the total 921 families live below the poverty line. Families with 5 or more children have the highest poverty rate of 100.0%, comprising of 4 families. On the other hand, families with 1 or 2 children have the lowest poverty rate of 3.7%, which includes 7 families.
| Children | Above Poverty | Below Poverty |
| No Children | 454 (82.1%) | 99 (17.9%) |
| 1 or 2 Children | 183 (96.3%) | 7 (3.7%) |
| 3 or 4 Children | 143 (82.2%) | 31 (17.8%) |
| 5 or more Children | 0 (0.0%) | 4 (100.0%) |
| Total | 780 (84.7%) | 141 (15.3%) |
Income Below Poverty Among Single-Parent Households in Zip Code 31773
According to the poverty data in Zip Code 31773, 6.7% or 6 single-father households and 12.5% or 10 single-mother households are living below the poverty line. Among single-father households, those with no children have the highest poverty rate, with 6 households (31.6%) experiencing poverty. Likewise, among single-mother households, those with 1 or 2 children have the highest poverty rate, with 10 households (37.0%) falling below the poverty line.
| Children | Single Father | Single Mother |
| No Children | 6 (31.6%) | 0 (0.0%) |
| 1 or 2 Children | 0 (0.0%) | 10 (37.0%) |
| 3 or 4 Children | 0 (0.0%) | 0 (0.0%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 6 (6.7%) | 10 (12.5%) |
Income Below Poverty Among Married-Couple vs Single-Parent Households in Zip Code 31773
The poverty data for Zip Code 31773 shows that 141 of the married-couple family households (15.3%) and 16 of the single-parent households (9.4%) are living below the poverty level. Within the married-couple family households, those with 5 or more children have the highest poverty rate, with 4 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 10 household (12.8%) living below poverty.
| Children | Married-Couple Families | Single-Parent Households |
| No Children | 99 (17.9%) | 6 (8.3%) |
| 1 or 2 Children | 7 (3.7%) | 10 (12.8%) |
| 3 or 4 Children | 31 (17.8%) | 0 (0.0%) |
| 5 or more Children | 4 (100.0%) | 0 (0.0%) |
| Total | 141 (15.3%) | 16 (9.4%) |
Employment Characteristics in Zip Code 31773
Employment by Class of Employer in Zip Code 31773
Among the 1,734 employed individuals in Zip Code 31773, private company employees (1,032 | 59.5%), not-for-profit organizations (307 | 17.7%), and state government employees (134 | 7.7%) make up the most common classes of employment.
| Employer Class | # Employees | % Employees |
| Private Company Employees | 1,032 | 59.5% |
| Self-Employed (Incorporated) | 54 | 3.1% |
| Self-Employed (Not Incorporated) | 128 | 7.4% |
| Not-for-profit Organizations | 307 | 17.7% |
| Local Government Employees | 39 | 2.2% |
| State Government Employees | 134 | 7.7% |
| Federal Government Employees | 40 | 2.3% |
| Unpaid Family Workers | 0 | 0.0% |
| Total | 1,734 | 100.0% |
Employment Status by Age in Zip Code 31773
According to the labor force statistics for Zip Code 31773, out of the total population over 16 years of age (3,403), 56.8% or 1,933 individuals are in the labor force, with 6.8% or 131 of them unemployed. The age group with the highest labor force participation rate is 30 to 34 years, with 100.0% or 42 individuals in the labor force. Within the labor force, the 25 to 29 years age range has the highest percentage of unemployed individuals, with 55.8% or 101 of them being unemployed.
| Age Bracket | In Labor Force | Unemployed |
| 16 to 19 Years | 55 (72.4%) | 22 (40.0%) |
| 20 to 24 Years | 223 (82.3%) | 8 (3.6%) |
| 25 to 29 Years | 181 (87.0%) | 101 (55.8%) |
| 30 to 34 Years | 42 (100.0%) | 0 (0.0%) |
| 35 to 44 Years | 447 (84.3%) | 0 (0.0%) |
| 45 to 54 Years | 449 (86.7%) | 0 (0.0%) |
| 55 to 59 Years | 216 (53.6%) | 0 (0.0%) |
| 60 to 64 Years | 206 (40.3%) | 0 (0.0%) |
| 65 to 74 Years | 77 (16.5%) | 0 (0.0%) |
| 75 Years and over | 38 (10.1%) | 0 (0.0%) |
| Total | 1,933 (56.8%) | 131 (6.8%) |
Employment Status by Educational Attainment in Zip Code 31773
According to labor force statistics for Zip Code 31773, 69.7% of individuals (1,542) out of the total population between 25 and 64 years of age (2,212) are in the labor force, with 6.6% or 102 of them being unemployed. The group with the highest labor force participation rate are those with the educational attainment of high school diploma, with 83.8% or 557 individuals in the labor force. Within the labor force, individuals with college / associate degree education have the highest percentage of unemployment, with 17.8% or 101 of them being unemployed.
| Educational Attainment | In Labor Force | Unemployed |
| Less than High School | 66 (32.5%) | 0 (0.0%) |
| High School Diploma | 557 (83.8%) | 0 (0.0%) |
| College / Associate Degree | 567 (69.0%) | 146 (17.8%) |
| Bachelor's Degree or higher | 351 (67.2%) | 0 (0.0%) |
| Total | 1,542 (69.7%) | 146 (6.6%) |
Employment Occupations by Sex in Zip Code 31773
Management, Business, Science and Arts Occupations
The most common Management, Business, Science and Arts occupations in Zip Code 31773 are Health Diagnosing & Treating (193 | 10.7%), Health Technologists (166 | 9.2%), Community & Social Service (158 | 8.8%), Computers, Engineering & Science (153 | 8.5%), and Education Instruction & Library (130 | 7.2%).
Management, Business, Science and Arts Occupations by Sex
Within the Management, Business, Science and Arts occupations in Zip Code 31773, the most male-oriented occupations are Computers, Engineering & Science (100.0%), Computers & Mathematics (100.0%), and Architecture & Engineering (100.0%), while the most female-oriented occupations are Health Diagnosing & Treating (70.0%), Health Technologists (65.1%), and Management (43.4%).
| Occupation | Male | Female |
| Management | 73 (56.6%) | 56 (43.4%) |
| Business & Financial | 8 (80.0%) | 2 (20.0%) |
| Computers, Engineering & Science | 153 (100.0%) | 0 (0.0%) |
| Computers & Mathematics | 40 (100.0%) | 0 (0.0%) |
| Architecture & Engineering | 113 (100.0%) | 0 (0.0%) |
| Life, Physical & Social Science | 0 (0.0%) | 0 (0.0%) |
| Community & Social Service | 150 (94.9%) | 8 (5.1%) |
| Education, Arts & Media | 10 (62.5%) | 6 (37.5%) |
| Legal Services & Support | 0 (0.0%) | 0 (0.0%) |
| Education Instruction & Library | 128 (98.5%) | 2 (1.5%) |
| Arts, Media & Entertainment | 12 (100.0%) | 0 (0.0%) |
| Health Diagnosing & Treating | 58 (30.0%) | 135 (70.0%) |
| Health Technologists | 58 (34.9%) | 108 (65.1%) |
| Total (Category) | 442 (68.7%) | 201 (31.3%) |
| Total (Overall) | 1,073 (59.5%) | 730 (40.5%) |
Services Occupations
The most common Services occupations in Zip Code 31773 are Cleaning & Maintenance (69 | 3.8%), Personal Care & Service (40 | 2.2%), Food Preparation & Serving (30 | 1.7%), Security & Protection (23 | 1.3%), and Firefighting & Prevention (13 | 0.7%).
Services Occupations by Sex
Within the Services occupations in Zip Code 31773, the most male-oriented occupations are Cleaning & Maintenance (65.2%), Food Preparation & Serving (50.0%), and Firefighting & Prevention (46.2%), while the most female-oriented occupations are Healthcare Support (100.0%), Personal Care & Service (100.0%), and Law Enforcement (60.0%).
| Occupation | Male | Female |
| Healthcare Support | 0 (0.0%) | 8 (100.0%) |
| Security & Protection | 10 (43.5%) | 13 (56.5%) |
| Firefighting & Prevention | 6 (46.2%) | 7 (53.8%) |
| Law Enforcement | 4 (40.0%) | 6 (60.0%) |
| Food Preparation & Serving | 15 (50.0%) | 15 (50.0%) |
| Cleaning & Maintenance | 45 (65.2%) | 24 (34.8%) |
| Personal Care & Service | 0 (0.0%) | 40 (100.0%) |
| Total (Category) | 70 (41.2%) | 100 (58.8%) |
| Total (Overall) | 1,073 (59.5%) | 730 (40.5%) |
Sales and Office Occupations
The most common Sales and Office occupations in Zip Code 31773 are Office & Administration (298 | 16.5%), and Sales & Related (127 | 7.0%).
Sales and Office Occupations by Sex
| Occupation | Male | Female |
| Sales & Related | 15 (11.8%) | 112 (88.2%) |
| Office & Administration | 64 (21.5%) | 234 (78.5%) |
| Total (Category) | 79 (18.6%) | 346 (81.4%) |
| Total (Overall) | 1,073 (59.5%) | 730 (40.5%) |
Natural Resources, Construction and Maintenance Occupations
The most common Natural Resources, Construction and Maintenance occupations in Zip Code 31773 are Construction & Extraction (190 | 10.5%), and Installation, Maintenance & Repair (133 | 7.4%).
Natural Resources, Construction and Maintenance Occupations by Sex
| Occupation | Male | Female |
| Farming, Fishing & Forestry | 0 (0.0%) | 0 (0.0%) |
| Construction & Extraction | 169 (88.9%) | 21 (11.1%) |
| Installation, Maintenance & Repair | 133 (100.0%) | 0 (0.0%) |
| Total (Category) | 302 (93.5%) | 21 (6.5%) |
| Total (Overall) | 1,073 (59.5%) | 730 (40.5%) |
Production, Transportation and Moving Occupations
The most common Production, Transportation and Moving occupations in Zip Code 31773 are Production (142 | 7.9%), Transportation (51 | 2.8%), and Material Moving (49 | 2.7%).
Production, Transportation and Moving Occupations by Sex
| Occupation | Male | Female |
| Production | 101 (71.1%) | 41 (28.9%) |
| Transportation | 51 (100.0%) | 0 (0.0%) |
| Material Moving | 28 (57.1%) | 21 (42.9%) |
| Total (Category) | 180 (74.4%) | 62 (25.6%) |
| Total (Overall) | 1,073 (59.5%) | 730 (40.5%) |
Employment Industries by Sex in Zip Code 31773
Employment Industries in Zip Code 31773
The major employment industries in Zip Code 31773 include Manufacturing (434 | 24.1%), Health Care & Social Assistance (245 | 13.6%), Construction (212 | 11.8%), Public Administration (163 | 9.0%), and Retail Trade (159 | 8.8%).
Employment Industries by Sex in Zip Code 31773
The Zip Code 31773 industries that see more men than women are Mining, Quarrying, & Extraction (100.0%), Information (100.0%), and Administrative & Support (100.0%), whereas the industries that tend to have a higher number of women are Finance & Insurance (77.5%), Retail Trade (76.1%), and Public Administration (68.7%).
| Industry | Male | Female |
| Agriculture, Fishing & Hunting | 0 (0.0%) | 0 (0.0%) |
| Mining, Quarrying, & Extraction | 18 (100.0%) | 0 (0.0%) |
| Construction | 180 (84.9%) | 32 (15.1%) |
| Manufacturing | 267 (61.5%) | 167 (38.5%) |
| Wholesale Trade | 59 (59.6%) | 40 (40.4%) |
| Retail Trade | 38 (23.9%) | 121 (76.1%) |
| Transportation & Warehousing | 20 (76.9%) | 6 (23.1%) |
| Utilities | 0 (0.0%) | 0 (0.0%) |
| Information | 12 (100.0%) | 0 (0.0%) |
| Finance & Insurance | 11 (22.5%) | 38 (77.5%) |
| Real Estate, Rental & Leasing | 28 (80.0%) | 7 (20.0%) |
| Professional & Scientific | 26 (86.7%) | 4 (13.3%) |
| Enterprise Management | 0 (0.0%) | 0 (0.0%) |
| Administrative & Support | 7 (100.0%) | 0 (0.0%) |
| Educational Services | 130 (94.9%) | 7 (5.1%) |
| Health Care & Social Assistance | 171 (69.8%) | 74 (30.2%) |
| Arts, Entertainment & Recreation | 0 (0.0%) | 0 (0.0%) |
| Accommodation & Food Services | 17 (39.5%) | 26 (60.5%) |
| Public Administration | 51 (31.3%) | 112 (68.7%) |
| Total | 1,073 (59.5%) | 730 (40.5%) |
Education in Zip Code 31773
School Enrollment in Zip Code 31773
The most common levels of schooling among the 866 students in Zip Code 31773 are middle school (332 | 38.3%), college / undergraduate (129 | 14.9%), and graduate / professional (122 | 14.1%).
| School Level | # Students | % Students |
| Nursery / Preschool | 81 | 9.3% |
| Kindergarten | 10 | 1.1% |
| Elementary School | 98 | 11.3% |
| Middle School | 332 | 38.3% |
| High School | 94 | 10.8% |
| College / Undergraduate | 129 | 14.9% |
| Graduate / Professional | 122 | 14.1% |
| Total | 866 | 100.0% |
School Enrollment by Age by Funding Source in Zip Code 31773
Out of a total of 866 students who are enrolled in schools in Zip Code 31773, 226 (26.1%) attend a private institution, while the remaining 640 (73.9%) are enrolled in public schools. The age group of 3 to 4 year olds has the highest likelihood of being enrolled in private schools, with 9 (75.0% in the age bracket) enrolled. Conversely, the age group of 15 to 17 year olds has the lowest likelihood of being enrolled in a private school, with 62 (100.0% in the age bracket) attending a public institution.
| Age Bracket | Public School | Private School |
| 3 to 4 Year Olds | 3 (25.0%) | 9 (75.0%) |
| 5 to 9 Year Old | 125 (76.7%) | 38 (23.3%) |
| 10 to 14 Year Olds | 338 (89.4%) | 40 (10.6%) |
| 15 to 17 Year Olds | 62 (100.0%) | 0 (0.0%) |
| 18 to 19 Year Olds | 31 (100.0%) | 0 (0.0%) |
| 20 to 24 Year Olds | 23 (54.8%) | 19 (45.2%) |
| 25 to 34 Year Olds | 6 (100.0%) | 0 (0.0%) |
| 35 Years and over | 52 (30.2%) | 120 (69.8%) |
| Total | 640 (73.9%) | 226 (26.1%) |
Educational Attainment by Field of Study in Zip Code 31773
Science & technology (183 | 26.1%), education (147 | 20.9%), literature & languages (120 | 17.1%), business (97 | 13.8%), and arts & humanities (87 | 12.4%) are the most common fields of study among 702 individuals in Zip Code 31773 who have obtained a bachelor's degree or higher.
| Field of Study | # Graduates | % Graduates |
| Computers & Mathematics | 14 | 2.0% |
| Bio, Nature & Agricultural | 7 | 1.0% |
| Physical & Health Sciences | 6 | 0.9% |
| Psychology | 0 | 0.0% |
| Social Sciences | 0 | 0.0% |
| Engineering | 17 | 2.4% |
| Multidisciplinary Studies | 0 | 0.0% |
| Science & Technology | 183 | 26.1% |
| Business | 97 | 13.8% |
| Education | 147 | 20.9% |
| Literature & Languages | 120 | 17.1% |
| Liberal Arts & History | 17 | 2.4% |
| Visual & Performing Arts | 0 | 0.0% |
| Communications | 7 | 1.0% |
| Arts & Humanities | 87 | 12.4% |
| Total | 702 | 100.0% |
Transportation & Commute in Zip Code 31773
Vehicle Availability by Sex in Zip Code 31773
The most prevalent vehicle ownership categories in Zip Code 31773 are males with 2 vehicles (391, accounting for 37.5%) and females with 2 vehicles (312, making up 56.5%).
| Vehicles Available | Male | Female |
| No Vehicle | 49 (4.7%) | 5 (0.7%) |
| 1 Vehicle | 160 (15.4%) | 89 (12.9%) |
| 2 Vehicles | 391 (37.5%) | 312 (45.1%) |
| 3 Vehicles | 217 (20.8%) | 72 (10.4%) |
| 4 Vehicles | 18 (1.7%) | 23 (3.3%) |
| 5 or more Vehicles | 207 (19.9%) | 191 (27.6%) |
| Total | 1,042 (100.0%) | 692 (100.0%) |
Commute Time in Zip Code 31773
The most frequently occuring commute durations in Zip Code 31773 are 20 to 24 minutes (412 commuters, 25.5%), 30 to 34 minutes (251 commuters, 15.6%), and 15 to 19 minutes (230 commuters, 14.3%).
| Commute Time | # Commuters | % Commuters |
| Less than 5 Minutes | 44 | 2.7% |
| 5 to 9 Minutes | 52 | 3.2% |
| 10 to 14 Minutes | 229 | 14.2% |
| 15 to 19 Minutes | 230 | 14.3% |
| 20 to 24 Minutes | 412 | 25.5% |
| 25 to 29 Minutes | 206 | 12.8% |
| 30 to 34 Minutes | 251 | 15.6% |
| 35 to 39 Minutes | 120 | 7.4% |
| 40 to 44 Minutes | 5 | 0.3% |
| 45 to 59 Minutes | 28 | 1.7% |
| 60 to 89 Minutes | 17 | 1.1% |
| 90 or more Minutes | 19 | 1.2% |
Commute Time by Sex in Zip Code 31773
The most common commute times in Zip Code 31773 are 20 to 24 minutes (228 commuters, 22.6%) for males and 20 to 24 minutes (184 commuters, 30.5%) for females.
| Commute Time | Male | Female |
| Less than 5 Minutes | 37 (3.7%) | 7 (1.2%) |
| 5 to 9 Minutes | 30 (3.0%) | 22 (3.6%) |
| 10 to 14 Minutes | 103 (10.2%) | 126 (20.9%) |
| 15 to 19 Minutes | 167 (16.6%) | 63 (10.4%) |
| 20 to 24 Minutes | 228 (22.6%) | 184 (30.5%) |
| 25 to 29 Minutes | 91 (9.0%) | 115 (19.0%) |
| 30 to 34 Minutes | 188 (18.6%) | 63 (10.4%) |
| 35 to 39 Minutes | 120 (11.9%) | 0 (0.0%) |
| 40 to 44 Minutes | 5 (0.5%) | 0 (0.0%) |
| 45 to 59 Minutes | 21 (2.1%) | 7 (1.2%) |
| 60 to 89 Minutes | 0 (0.0%) | 17 (2.8%) |
| 90 or more Minutes | 19 (1.9%) | 0 (0.0%) |
Time of Departure to Work by Sex in Zip Code 31773
The most frequent times of departure to work in Zip Code 31773 are 7:30 AM to 7:59 AM (194, 19.2%) for males and 7:00 AM to 7:29 AM (183, 30.3%) for females.
| Time of Departure | Male | Female |
| 12:00 AM to 4:59 AM | 99 (9.8%) | 65 (10.8%) |
| 5:00 AM to 5:29 AM | 22 (2.2%) | 36 (6.0%) |
| 5:30 AM to 5:59 AM | 12 (1.2%) | 0 (0.0%) |
| 6:00 AM to 6:29 AM | 178 (17.6%) | 24 (4.0%) |
| 6:30 AM to 6:59 AM | 101 (10.0%) | 81 (13.4%) |
| 7:00 AM to 7:29 AM | 141 (14.0%) | 183 (30.3%) |
| 7:30 AM to 7:59 AM | 194 (19.2%) | 138 (22.9%) |
| 8:00 AM to 8:29 AM | 42 (4.2%) | 12 (2.0%) |
| 8:30 AM to 8:59 AM | 46 (4.6%) | 35 (5.8%) |
| 9:00 AM to 9:59 AM | 5 (0.5%) | 0 (0.0%) |
| 10:00 AM to 10:59 AM | 13 (1.3%) | 0 (0.0%) |
| 11:00 AM to 11:59 AM | 0 (0.0%) | 0 (0.0%) |
| 12:00 PM to 3:59 PM | 13 (1.3%) | 6 (1.0%) |
| 4:00 PM to 11:59 PM | 143 (14.2%) | 24 (4.0%) |
| Total | 1,009 (100.0%) | 604 (100.0%) |
Housing Occupancy in Zip Code 31773
Occupancy by Ownership in Zip Code 31773
Of the total 1,726 dwellings in Zip Code 31773, owner-occupied units account for 1,314 (76.1%), while renter-occupied units make up 412 (23.9%).
| Occupancy | # Housing Units | % Housing Units |
| Owner Occupied Housing Units | 1,314 | 76.1% |
| Renter-Occupied Housing Units | 412 | 23.9% |
| Total Occupied Housing Units | 1,726 | 100.0% |
Occupancy by Household Size in Zip Code 31773
| Household Size | # Housing Units | % Housing Units |
| 1-Person Household | 478 | 27.7% |
| 2-Person Household | 646 | 37.4% |
| 3-Person Household | 272 | 15.8% |
| 4+ Person Household | 330 | 19.1% |
| Total Housing Units | 1,726 | 100.0% |
Occupancy by Ownership by Household Size in Zip Code 31773
| Household Size | Owner-occupied | Renter-occupied |
| 1-Person Household | 400 (83.7%) | 78 (16.3%) |
| 2-Person Household | 458 (70.9%) | 188 (29.1%) |
| 3-Person Household | 216 (79.4%) | 56 (20.6%) |
| 4+ Person Household | 240 (72.7%) | 90 (27.3%) |
| Total Housing Units | 1,314 (76.1%) | 412 (23.9%) |
Occupancy by Educational Attainment in Zip Code 31773
| Household Size | Owner-occupied | Renter-occupied |
| Less than High School | 102 (60.4%) | 67 (39.6%) |
| High School Diploma | 468 (82.0%) | 103 (18.0%) |
| College/Associate Degree | 443 (66.5%) | 223 (33.5%) |
| Bachelor's Degree or higher | 301 (94.1%) | 19 (5.9%) |
Occupancy by Age of Householder in Zip Code 31773
| Age Bracket | # Households | % Households |
| Under 35 Years | 160 | 9.3% |
| 35 to 44 Years | 308 | 17.8% |
| 45 to 54 Years | 343 | 19.9% |
| 55 to 64 Years | 432 | 25.0% |
| 65 to 74 Years | 213 | 12.3% |
| 75 to 84 Years | 221 | 12.8% |
| 85 Years and Over | 49 | 2.8% |
| Total | 1,726 | 100.0% |
Housing Finances in Zip Code 31773
Median Income by Occupancy in Zip Code 31773
| Occupancy Type | # Households | Median Income |
| Owner-Occupied | 1,314 (76.1%) | $74,191 |
| Renter-Occupied | 412 (23.9%) | $37,500 |
| Average | 1,726 (100.0%) | $69,286 |
Occupancy by Householder Income Bracket in Zip Code 31773
| Income Bracket | Owner-occupied | Renter-occupied |
| Less than $5,000 | 26 (2.0%) | 0 (0.0%) |
| $5,000 to $9,999 | 69 (5.2%) | 16 (3.9%) |
| $10,000 to $14,999 | 26 (2.0%) | 13 (3.2%) |
| $15,000 to $19,999 | 32 (2.4%) | 89 (21.6%) |
| $20,000 to $24,999 | 51 (3.9%) | 27 (6.6%) |
| $25,000 to $34,999 | 95 (7.2%) | 61 (14.8%) |
| $35,000 to $49,999 | 158 (12.0%) | 16 (3.9%) |
| $50,000 to $74,999 | 233 (17.7%) | 73 (17.7%) |
| $75,000 to $99,999 | 100 (7.6%) | 93 (22.6%) |
| $100,000 to $149,999 | 281 (21.4%) | 24 (5.8%) |
| $150,000 or more | 243 (18.5%) | 0 (0.0%) |
| Total | 1,314 (100.0%) | 412 (100.0%) |
Monthly Housing Cost Tiers in Zip Code 31773
| Monthly Cost | Owner-occupied | Renter-occupied |
| Less than $300 | 170 (12.9%) | 0 (0.0%) |
| $300 to $499 | 151 (11.5%) | 16 (3.9%) |
| $500 to $799 | 404 (30.7%) | 55 (13.4%) |
| $800 to $999 | 91 (6.9%) | 195 (47.3%) |
| $1,000 to $1,499 | 104 (7.9%) | 38 (9.2%) |
| $1,500 to $1,999 | 208 (15.8%) | 0 (0.0%) |
| $2,000 to $2,499 | 145 (11.0%) | 0 (0.0%) |
| $2,500 to $2,999 | 34 (2.6%) | 0 (0.0%) |
| $3,000 or more | 7 (0.5%) | 0 (0.0%) |
| Total | 1,314 (100.0%) | 412 (100.0%) |
Physical Housing Characteristics in Zip Code 31773
Housing Structures in Zip Code 31773
| Structure Type | # Housing Units | % Housing Units |
| Single Unit, Detached | 1,027 | 59.5% |
| Single Unit, Attached | 7 | 0.4% |
| 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 | 692 | 40.1% |
| Total | 1,726 | 100.0% |
Housing Structures by Occupancy in Zip Code 31773
| Structure Type | Owner-occupied | Renter-occupied |
| Single Unit, Detached | 839 (81.7%) | 188 (18.3%) |
| Single Unit, Attached | 7 (100.0%) | 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 | 468 (67.6%) | 224 (32.4%) |
| Total | 1,314 (76.1%) | 412 (23.9%) |
Housing Structures by Number of Rooms in Zip Code 31773
| Number of Rooms | Owner-occupied | Renter-occupied |
| 1 Room | 0 (0.0%) | 0 (0.0%) |
| 2 or 3 Rooms | 43 (3.3%) | 41 (10.0%) |
| 4 or 5 Rooms | 242 (18.4%) | 285 (69.2%) |
| 6 or 7 Rooms | 653 (49.7%) | 74 (18.0%) |
| 8 or more Rooms | 376 (28.6%) | 12 (2.9%) |
| Total | 1,314 (100.0%) | 412 (100.0%) |
Housing Structure by Heating Type in Zip Code 31773
| Heating Type | Owner-occupied | Renter-occupied |
| Utility Gas | 43 (3.3%) | 0 (0.0%) |
| Bottled, Tank, or LP Gas | 69 (5.2%) | 18 (4.4%) |
| Electricity | 1,155 (87.9%) | 389 (94.4%) |
| Fuel Oil or Kerosene | 0 (0.0%) | 0 (0.0%) |
| Coal or Coke | 0 (0.0%) | 0 (0.0%) |
| All other Fuels | 19 (1.5%) | 3 (0.7%) |
| No Fuel Used | 28 (2.1%) | 2 (0.5%) |
| Total | 1,314 (100.0%) | 412 (100.0%) |
Household Vehicle Usage in Zip Code 31773
| Vehicles per Household | Owner-occupied | Renter-occupied |
| No Vehicle | 12 (0.9%) | 0 (0.0%) |
| 1 Vehicle | 338 (25.7%) | 140 (34.0%) |
| 2 Vehicles | 459 (34.9%) | 249 (60.4%) |
| 3 or more Vehicles | 505 (38.4%) | 23 (5.6%) |
| Total | 1,314 (100.0%) | 412 (100.0%) |
Real Estate & Mortgages in Zip Code 31773
Real Estate and Mortgage Overview in Zip Code 31773
| Characteristic | Without Mortgage | With Mortgage |
| Housing Units | 655 | 659 |
| Median Property Value | $181,300 | $254,600 |
| Median Household Income | $59,487 | $93 |
| Monthly Housing Costs | $503 | $7 |
| Real Estate Taxes | $883 | $4 |
Property Value by Mortgage Status in Zip Code 31773
| Property Value | Without Mortgage | With Mortgage |
| Less than $50,000 | 86 (13.1%) | 20 (3.0%) |
| $50,000 to $99,999 | 71 (10.8%) | 114 (17.3%) |
| $100,000 to $299,999 | 381 (58.2%) | 298 (45.2%) |
| $300,000 to $499,999 | 90 (13.7%) | 214 (32.5%) |
| $500,000 to $749,999 | 27 (4.1%) | 6 (0.9%) |
| $750,000 to $999,999 | 0 (0.0%) | 7 (1.1%) |
| $1,000,000 or more | 0 (0.0%) | 0 (0.0%) |
| Total | 655 (100.0%) | 659 (100.0%) |
Household Income by Mortgage Status in Zip Code 31773
| Household Income | Without Mortgage | With Mortgage |
| Less than $10,000 | 31 (4.7%) | 4 (0.6%) |
| $10,000 to $24,999 | 75 (11.5%) | 64 (9.7%) |
| $25,000 to $34,999 | 49 (7.5%) | 34 (5.2%) |
| $35,000 to $49,999 | 120 (18.3%) | 46 (7.0%) |
| $50,000 to $74,999 | 128 (19.5%) | 38 (5.8%) |
| $75,000 to $99,999 | 48 (7.3%) | 105 (15.9%) |
| $100,000 to $149,999 | 54 (8.2%) | 52 (7.9%) |
| $150,000 or more | 150 (22.9%) | 227 (34.4%) |
| Total | 655 (100.0%) | 659 (100.0%) |
Property Value to Household Income Ratio in Zip Code 31773
| Value-to-Income Ratio | Without Mortgage | With Mortgage |
| Less than 2.0x | 360 (55.0%) | 91,250 (13,846.7%) |
| 2.0x to 2.9x | 85 (13.0%) | 241 (36.6%) |
| 3.0x to 3.9x | 58 (8.8%) | 192 (29.1%) |
| 4.0x or more | 136 (20.8%) | 89 (13.5%) |
| Total | 655 (100.0%) | 659 (100.0%) |
Real Estate Taxes by Mortgage Status in Zip Code 31773
| Property Taxes | Without Mortgage | With Mortgage |
| Less than $800 | 260 (39.7%) | 1 (0.2%) |
| $800 to $1,499 | 191 (29.2%) | 131 (19.9%) |
| $800 to $1,499 | 192 (29.3%) | 99 (15.0%) |
| Total | 655 (100.0%) | 659 (100.0%) |
Health & Disability in Zip Code 31773
Health Insurance Coverage by Age in Zip Code 31773
| Age Bracket | With Coverage | Without Coverage |
| Under 6 Years | 274 (100.0%) | 0 (0.0%) |
| 6 to 18 Years | 498 (93.8%) | 33 (6.2%) |
| 19 to 25 Years | 296 (89.2%) | 36 (10.8%) |
| 26 to 34 Years | 122 (51.3%) | 116 (48.7%) |
| 35 to 44 Years | 445 (84.0%) | 85 (16.0%) |
| 45 to 54 Years | 480 (92.7%) | 38 (7.3%) |
| 55 to 64 Years | 671 (73.4%) | 243 (26.6%) |
| 65 to 74 Years | 460 (98.5%) | 7 (1.5%) |
| 75 Years and older | 377 (100.0%) | 0 (0.0%) |
| Total | 3,623 (86.7%) | 558 (13.4%) |
Health Insurance Coverage by Citizenship Status in Zip Code 31773
| Citizenship Status | With Coverage | Without Coverage |
| Native Born | 274 (100.0%) | 0 (0.0%) |
| Foreign Born, Citizen | 498 (93.8%) | 33 (6.2%) |
| Foreign Born, not a Citizen | 296 (89.2%) | 36 (10.8%) |
Health Insurance Coverage by Household Income in Zip Code 31773
| Household Income | With Coverage | Without Coverage |
| Under $25,000 | 444 (76.2%) | 139 (23.8%) |
| $25,000 to $49,999 | 706 (92.6%) | 56 (7.3%) |
| $50,000 to $74,999 | 543 (91.3%) | 52 (8.7%) |
| $75,000 to $99,999 | 428 (96.0%) | 18 (4.0%) |
| $100,000 and over | 1,474 (83.4%) | 293 (16.6%) |
Public vs Private Health Insurance Coverage by Age in Zip Code 31773
| Age Bracket | Public Insurance | Private Insurance |
| Under 6 | 88 (32.1%) | 186 (67.9%) |
| 6 to 18 Years | 299 (56.3%) | 205 (38.6%) |
| 19 to 25 Years | 39 (11.7%) | 257 (77.4%) |
| 25 to 34 Years | 71 (29.8%) | 71 (29.8%) |
| 35 to 44 Years | 114 (21.5%) | 331 (62.5%) |
| 45 to 54 Years | 33 (6.4%) | 462 (89.2%) |
| 55 to 64 Years | 264 (28.9%) | 487 (53.3%) |
| 65 to 74 Years | 454 (97.2%) | 200 (42.8%) |
| 75 Years and over | 377 (100.0%) | 94 (24.9%) |
| Total | 1,739 (41.6%) | 2,293 (54.8%) |
Disability Status by Sex by Age in Zip Code 31773
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 74 (22.9%) | 45 (16.1%) |
| 18 to 34 Years | 50 (12.2%) | 2 (1.3%) |
| 35 to 64 Years | 269 (23.4%) | 148 (18.2%) |
| 65 to 74 Years | 125 (57.1%) | 104 (41.9%) |
| 75 Years and over | 100 (55.9%) | 106 (53.5%) |
Disability Class by Sex by Age in Zip Code 31773
Disability Class: Hearing Difficulty
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 3 (0.9%) | 2 (0.7%) |
| 18 to 34 Years | 2 (0.5%) | 0 (0.0%) |
| 35 to 64 Years | 56 (4.9%) | 44 (5.4%) |
| 65 to 74 Years | 89 (40.6%) | 11 (4.4%) |
| 75 Years and over | 74 (41.3%) | 73 (36.9%) |
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%) | 0 (0.0%) |
| 35 to 64 Years | 48 (4.2%) | 23 (2.8%) |
| 65 to 74 Years | 38 (17.3%) | 13 (5.2%) |
| 75 Years and over | 16 (8.9%) | 20 (10.1%) |
Disability Class: Cognitive Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 71 (22.0%) | 43 (15.4%) |
| 18 to 34 Years | 50 (12.2%) | 0 (0.0%) |
| 35 to 64 Years | 230 (20.0%) | 51 (6.3%) |
| 65 to 74 Years | 33 (15.1%) | 16 (6.5%) |
| 75 Years and over | 21 (11.7%) | 37 (18.7%) |
Disability Class: Ambulatory Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 0 (0.0%) | 31 (11.1%) |
| 18 to 34 Years | 0 (0.0%) | 0 (0.0%) |
| 35 to 64 Years | 151 (13.1%) | 70 (8.6%) |
| 65 to 74 Years | 81 (37.0%) | 86 (34.7%) |
| 75 Years and over | 57 (31.8%) | 39 (19.7%) |
Disability Class: Self-Care Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 0 (0.0%) | 31 (11.1%) |
| 18 to 34 Years | 0 (0.0%) | 2 (1.3%) |
| 35 to 64 Years | 98 (8.5%) | 19 (2.3%) |
| 65 to 74 Years | 21 (9.6%) | 24 (9.7%) |
| 75 Years and over | 2 (1.1%) | 28 (14.1%) |
Technology Access in Zip Code 31773
Computing Device Access in Zip Code 31773
| Device Type | # Households | % Households |
| Desktop or Laptop | 1,248 | 72.3% |
| Smartphone | 1,466 | 84.9% |
| Tablet | 866 | 50.2% |
| No Computing Device | 126 | 7.3% |
| Total | 1,726 | 100.0% |
Internet Access in Zip Code 31773
| Internet Type | # Households | % Households |
| Dial-Up Internet | 0 | 0.0% |
| Broadband Home | 774 | 44.8% |
| Cellular Data Only | 305 | 17.7% |
| Satellite Internet | 319 | 18.5% |
| No Internet | 331 | 19.2% |
| Total | 1,726 | 100.0% |
Common Questions
What is the Total Population of Zip Code 31773?
Total Population of Zip Code 31773 is 4,181.
What is the Total Male Population of Zip Code 31773?
Total Male Population of Zip Code 31773 is 2,320.
What is the Total Female Population of Zip Code 31773?
Total Female Population of Zip Code 31773 is 1,861.
What is the Ratio of Males per 100 Females in Zip Code 31773?
There are 124.66 Males per 100 Females in Zip Code 31773.
What is the Ratio of Females per 100 Males in Zip Code 31773?
There are 80.22 Females per 100 Males in Zip Code 31773.
What is the Median Population Age in Zip Code 31773?
Median Population Age in Zip Code 31773 is 48.3 Years.
What is the Average Family Size in Zip Code 31773
Average Family Size in Zip Code 31773 is 3.0 People.
What is the Average Household Size in Zip Code 31773
Average Household Size in Zip Code 31773 is 2.4 People.
What is Per Capita Income in Zip Code 31773?
Per Capita income in Zip Code 31773 is $32,493.
What is the Median Family Income in Zip Code 31773?
Median Family Income in Zip Code 31773 is $83,906.
What is the Median Household income in Zip Code 31773?
Median Household Income in Zip Code 31773 is $69,286.
What is Income or Wage Gap in Zip Code 31773?
Income or Wage Gap in Zip Code 31773 is 45.9%.
Women in Zip Code 31773 earn 54.1 cents for every dollar earned by a man.
What is Inequality or Gini Index in Zip Code 31773?
Inequality or Gini Index in Zip Code 31773 is 0.41.
How Large is the Labor Force in Zip Code 31773?
There are 1,933 People in the Labor Forcein in Zip Code 31773.
What is the Percentage of People in the Labor Force in Zip Code 31773?
56.8% of People are in the Labor Force in Zip Code 31773.
What is the Unemployment Rate in Zip Code 31773?
Unemployment Rate in Zip Code 31773 is 6.8%.