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Excel Overview

473
TOTAL POPULATION
244
MALE POPULATION
229
FEMALE POPULATION
106.55
MALES / 100 FEMALES
93.85
FEMALES / 100 MALES
38.6
MEDIAN AGE
3.3
AVG FAMILY SIZE
2.9
AVG HOUSEHOLD SIZE
$27,698
PER CAPITA INCOME
$73,036
AVG FAMILY INCOME
$64,926
AVG HOUSEHOLD INCOME
32.5%
WAGE / INCOME GAP [ % ]
67.5¢/ $1
WAGE / INCOME GAP [ $ ]
0.38
INEQUALITY / GINI INDEX
174
LABOR FORCE [ PEOPLE ]
49.0%
PERCENT IN LABOR FORCE

Excel Zip Codes

Race in Excel

The most populous races in Excel are White / Caucasian (457 | 96.6%), Black / African American (10 | 2.1%), and Native / Alaskan (4 | 0.9%).
Race in Excel
Race# Population% Population
Asian00.0%
Black / African American102.1%
Hawaiian / Pacific00.0%
Hispanic or Latino00.0%
Native / Alaskan40.9%
White / Caucasian45796.6%
Two or more Races20.4%
Some other Race00.0%
Total473100.0%

Ancestry in Excel

The most populous ancestries reported in Excel are American (17 | 3.6%), German (15 | 3.2%), English (14 | 3.0%), Irish (13 | 2.8%), and French (6 | 1.3%), together accounting for 13.7% of all Excel residents.
Ancestry in Excel
Ancestry# Population% Population
American173.6%
Cherokee10.2%
Creek30.6%
Dutch20.4%
English143.0%
French61.3%
German153.2%
Irish132.8%
View All 8 Rows

Immigrants in Excel

Immigrants in Excel
Immigration Origin# Population% Population
View All 0 Rows

Sex and Age in Excel

Sex and Age in Excel

The most populous age groups in Excel are 45 to 49 Years (58 | 23.8%) for men and 5 to 9 Years (38 | 16.6%) for women.
Sex and Age in Excel
Age BracketMaleFemale
Under 5 Years22 (9.0%)8 (3.5%)
5 to 9 Years18 (7.4%)38 (16.6%)
10 to 14 Years14 (5.7%)18 (7.9%)
15 to 19 Years15 (6.1%)15 (6.6%)
20 to 24 Years0 (0.0%)21 (9.2%)
25 to 29 Years15 (6.1%)5 (2.2%)
30 to 34 Years10 (4.1%)9 (3.9%)
35 to 39 Years20 (8.2%)17 (7.4%)
40 to 44 Years17 (7.0%)8 (3.5%)
45 to 49 Years58 (23.8%)16 (7.0%)
50 to 54 Years23 (9.4%)0 (0.0%)
55 to 59 Years4 (1.6%)8 (3.5%)
60 to 64 Years9 (3.7%)8 (3.5%)
65 to 69 Years5 (2.1%)26 (11.4%)
70 to 74 Years2 (0.8%)5 (2.2%)
75 to 79 Years5 (2.1%)20 (8.7%)
80 to 84 Years7 (2.9%)5 (2.2%)
85 Years and over0 (0.0%)2 (0.9%)
Total244 (100.0%)229 (100.0%)

Families and Households in Excel

Median Family Size in Excel

The median family size in Excel is 3.29 persons per family, with single male/father families (23 | 20.3%) accounting for the largest median family size of 3.91 persons per family. On the other hand, married-couple families (71 | 62.8%) represent the smallest median family size with 2.99 persons per family.
Median Family Size in Excel
Family Type# FamiliesFamily Size
Married-Couple71 (62.8%)2.99
Single Male/Father23 (20.3%)3.91
Single Female/Mother19 (16.8%)3.68
Total Families113 (100.0%)3.29

Median Household Size in Excel

The median household size in Excel is 2.94 persons per household, with single female/mother households (19 | 11.8%) accounting for the largest median household size of 5.05 persons per household. non-family households (48 | 29.8%) represent the smallest median household size with 1.17 persons per household.
Median Household Size in Excel
Household Type# HouseholdsHousehold Size
Married-Couple71 (44.1%)2.99
Single Male/Father23 (14.3%)4.74
Single Female/Mother19 (11.8%)5.05
Non-family48 (29.8%)1.17
Total Households161 (100.0%)2.94

Household Size by Marriage Status in Excel

Out of a total of 161 households in Excel, 113 (70.2%) are family households, while 48 (29.8%) are nonfamily households. The most numerous type of family households are 2-person households, comprising 43, and the most common type of nonfamily households are 1-person households, comprising 37.
Household Size by Marriage Status in Excel
Household SizeFamily HouseholdsNonfamily Households
1-Person Households-37 (23.0%)
2-Person Households43 (26.7%)11 (6.8%)
3-Person Households43 (26.7%)0 (0.0%)
4-Person Households11 (6.8%)0 (0.0%)
5-Person Households16 (9.9%)0 (0.0%)
6-Person Households0 (0.0%)0 (0.0%)
7+ Person Households0 (0.0%)0 (0.0%)
Total113 (70.2%)48 (29.8%)

Female Fertility in Excel

Fertility by Age in Excel

Average fertility rate in Excel is 209.0 births per 1,000 women. Women in the age bracket of 20 to 34 years have the highest fertility rate with 543.0 births per 1,000 women. Women in the age bracket of 20 to 34 years acount for 100.0% of all women with births.
Female Fertility by Age in Excel
Age BracketWomen with BirthsBirths / 1,000 Women
15 to 19 years0 (0.0%)0.0
20 to 34 years19 (100.0%)543.0
35 to 50 years0 (0.0%)0.0
Total19 (100.0%)209.0

Fertility by Age by Marriage Status in Excel

31.6% of women with births (19) in Excel are married. The highest percentage of unmarried women with births falls into 20 to 34 years age bracket with 68.4% 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 68.4% of them unmarried.
Female Fertility by Age by Marriage Status in Excel
Age BracketMarriedUnmarried
15 to 19 years0 (0.0%)0 (0.0%)
20 to 34 years6 (31.6%)13 (68.4%)
35 to 50 years0 (0.0%)0 (0.0%)
Total6 (31.6%)13 (68.4%)

Fertility by Education in Excel

Female Fertility by Education Attainment in Excel
Educational AttainmentWomen with BirthsBirths / 1,000 Women
Less than High School13 (68.4%)464.0
High School Diploma0 (0.0%)0.0
College or Associate's Degree3 (15.8%)100.0
Bachelor's Degree3 (15.8%)188.0
Graduate Degree0 (0.0%)0.0
Total19 (100.0%)209.0

Fertility by Education by Marriage Status in Excel

68.4% of women with births in Excel 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 less than high school are least likely to be married with 100.0% of them unmarried at childbirth.
Female Fertility by Education by Marriage Status in Excel
Educational AttainmentMarriedUnmarried
Less than High School0 (0.0%)13 (100.0%)
High School Diploma0 (0.0%)0 (0.0%)
College or Associate's Degree3 (100.0%)0 (0.0%)
Bachelor's Degree3 (100.0%)0 (0.0%)
Graduate Degree0 (0.0%)0 (0.0%)
Total6 (31.6%)13 (68.4%)

Income in Excel

Income Overview in Excel

Per Capita Income in Excel is $27,698, while median incomes of families and households are $73,036 and $64,926 respectively.
CharacteristicNumberMeasure
Per Capita Income473$27,698
Median Family Income113$73,036
Mean Family Income113$86,516
Median Household Income161$64,926
Mean Household Income161$80,663
Income Deficit113$0
Wage / Income Gap (%)47332.50%
Wage / Income Gap ($)47367.50¢ per $1
Gini / Inequality Index4730.38

Earnings by Sex in Excel

Average Earnings in Excel are $47,197, $50,000 for men and $33,750 for women, a difference of 32.5%.
Earnings by Sex in Excel
SexNumberAverage Earnings
Male108 (60.0%)$50,000
Female72 (40.0%)$33,750
Total180 (100.0%)$47,197

Earnings by Sex by Income Bracket in Excel

The most common earnings brackets in Excel are $75,000 to $99,999 for men (34 | 31.5%) and $55,000 to $64,999 for women (12 | 16.7%).
Earnings by Sex by Income Bracket in Excel
IncomeMaleFemale
$2,499 or less0 (0.0%)0 (0.0%)
$2,500 to $4,9990 (0.0%)3 (4.2%)
$5,000 to $7,4990 (0.0%)6 (8.3%)
$7,500 to $9,9990 (0.0%)3 (4.2%)
$10,000 to $12,4990 (0.0%)3 (4.2%)
$12,500 to $14,9992 (1.8%)0 (0.0%)
$15,000 to $17,4992 (1.8%)0 (0.0%)
$17,500 to $19,9990 (0.0%)10 (13.9%)
$20,000 to $22,4990 (0.0%)2 (2.8%)
$22,500 to $24,9990 (0.0%)0 (0.0%)
$25,000 to $29,99911 (10.2%)7 (9.7%)
$30,000 to $34,9990 (0.0%)4 (5.6%)
$35,000 to $39,9993 (2.8%)1 (1.4%)
$40,000 to $44,9993 (2.8%)1 (1.4%)
$45,000 to $49,99933 (30.6%)0 (0.0%)
$50,000 to $54,9994 (3.7%)3 (4.2%)
$55,000 to $64,9995 (4.6%)12 (16.7%)
$65,000 to $74,9994 (3.7%)10 (13.9%)
$75,000 to $99,99934 (31.5%)0 (0.0%)
$100,000+7 (6.5%)7 (9.7%)
Total108 (100.0%)72 (100.0%)

Earnings by Sex by Educational Attainment in Excel

Average earnings in Excel are $50,000 for men and $47,500 for women, a difference of 5.0%. Men with an educational attainment of bachelor's degree enjoy the highest average annual earnings of $87,000, while those with high school diploma education earn the least with $46,394. Women with an educational attainment of high school diploma earn the most with the average annual earnings of $28,214, while those with high school diploma education have the smallest earnings of $28,214.
Earnings by Sex by Educational Attainment in Excel
Educational AttainmentMale IncomeFemale Income
Less than High School--
High School Diploma$46,394$28,214
College or Associate's Degree$57,500$0
Bachelor's Degree$87,000$0
Graduate Degree--
Total$50,000$47,500

Family Income in Excel

Family Income Brackets in Excel

According to the Excel family income data, there are 43 families falling into the $50,000 to $74,999 income range, which is the most common income bracket and makes up 38.1% of all families.
Family Income Brackets in Excel
Income Bracket# Families% Families
Less than $10,000119.7%
$10,000 to $14,99900.0%
$15,000 to $24,99954.4%
$25,000 to $34,99900.0%
$35,000 to $49,99932.7%
$50,000 to $74,9994338.1%
$75,000 to $99,9991210.6%
$100,000 to $149,9992925.7%
$150,000 to $199,99987.1%
$200,000+21.8%

Family Income by Famaliy Size in Excel

3-person families (29 | 25.7%) account for the highest median family income in Excel with $106,875 per family, while 3-person families (29 | 25.7%) have the highest median income of $35,625 per family member.
Family Income by Famaliy Size in Excel
Income Bracket# FamiliesMedian Income
2-Person Families62 (54.9%)$64,412
3-Person Families29 (25.7%)$106,875
4-Person Families17 (15.0%)$0
5-Person Families5 (4.4%)$0
6-Person Families0 (0.0%)$0
7+ Person Families0 (0.0%)$0
Total113 (100.0%)$73,036

Family Income by Number of Earners in Excel

Family Income by Number of Earners in Excel
Number of Earners# FamiliesMedian Income
No Earners22 (19.5%)$0
1 Earner52 (46.0%)$63,235
2 Earners38 (33.6%)$134,000
3+ Earners1 (0.9%)$0
Total113 (100.0%)$73,036

Household Income in Excel

Household Income Brackets in Excel

With 42 households falling in the category, the $50,000 to $74,999 income range is the most frequent in Excel, accounting for 26.1% of all households. In contrast, only 2 households (1.2%) fall into the $10,000 to $14,999 income bracket, making it the least populous group.
Household Income Brackets in Excel
Income Bracket# Households% Households
Less than $10,000138.1%
$10,000 to $14,99921.2%
$15,000 to $24,999138.1%
$25,000 to $34,999138.1%
$35,000 to $49,99974.3%
$50,000 to $74,9994226.1%
$75,000 to $99,9992113.0%
$100,000 to $149,9993622.4%
$150,000 to $199,99985.0%
$200,000+63.7%

Household Income by Householder Age in Excel

The median household income in Excel is $64,926, with the highest median household income of $146,250 found in the 45 to 64 years age bracket for the primary householder. A total of 42 households (26.1%) 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 2 households (1.2%) in this group.
Household Income by Householder Age in Excel
Income Bracket# HouseholdsMedian Income
15 to 24 Years2 (1.2%)$0
25 to 44 Years57 (35.4%)$93,194
45 to 64 Years42 (26.1%)$146,250
65+ Years60 (37.3%)$55,500
Total161 (100.0%)$64,926

Poverty in Excel

Income Below Poverty by Sex and Age in Excel

With 25.0% poverty level for males and 17.9% for females among the residents of Excel, under 5 year old males and 18 to 24 year old females are the most vulnerable to poverty, with 20 males (90.9%) and 16 females (76.2%) in their respective age groups living below the poverty level.
Income Below Poverty by Sex and Age in Excel
Age BracketMaleFemale
Under 5 Years20 (90.9%)0 (0.0%)
5 Years0 (0.0%)0 (0.0%)
6 to 11 Years2 (7.4%)19 (43.2%)
12 to 14 Years0 (0.0%)0 (0.0%)
15 Years0 (0.0%)0 (0.0%)
16 and 17 Years0 (0.0%)0 (0.0%)
18 to 24 Years0 (0.0%)16 (76.2%)
25 to 34 Years11 (44.0%)2 (14.3%)
35 to 44 Years2 (5.4%)0 (0.0%)
45 to 54 Years26 (32.1%)0 (0.0%)
55 to 64 Years0 (0.0%)0 (0.0%)
65 to 74 Years0 (0.0%)4 (12.9%)
75 Years and over0 (0.0%)0 (0.0%)
Total61 (25.0%)41 (17.9%)

Income Above Poverty by Sex and Age in Excel

According to the poverty statistics in Excel, males aged 5 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.
Income Above Poverty by Sex and Age in Excel
Age BracketMaleFemale
Under 5 Years2 (9.1%)8 (100.0%)
5 Years3 (100.0%)0 (0.0%)
6 to 11 Years25 (92.6%)25 (56.8%)
12 to 14 Years2 (100.0%)12 (100.0%)
15 Years0 (0.0%)0 (0.0%)
16 and 17 Years15 (100.0%)15 (100.0%)
18 to 24 Years0 (0.0%)5 (23.8%)
25 to 34 Years14 (56.0%)12 (85.7%)
35 to 44 Years35 (94.6%)25 (100.0%)
45 to 54 Years55 (67.9%)16 (100.0%)
55 to 64 Years13 (100.0%)16 (100.0%)
65 to 74 Years7 (100.0%)27 (87.1%)
75 Years and over12 (100.0%)27 (100.0%)
Total183 (75.0%)188 (82.1%)

Income Below Poverty Among Married-Couple Families in Excel

Income Below Poverty Among Married-Couple Families in Excel
ChildrenAbove PovertyBelow Poverty
No Children40 (100.0%)0 (0.0%)
1 or 2 Children28 (100.0%)0 (0.0%)
3 or 4 Children3 (100.0%)0 (0.0%)
5 or more Children0 (0.0%)0 (0.0%)
Total71 (100.0%)0 (0.0%)

Income Below Poverty Among Single-Parent Households in Excel

Income Below Poverty Among Single-Parent Households in Excel
ChildrenSingle FatherSingle Mother
No Children0 (0.0%)0 (0.0%)
1 or 2 Children2 (28.6%)0 (0.0%)
3 or 4 Children11 (100.0%)0 (0.0%)
5 or more Children0 (0.0%)0 (0.0%)
Total13 (56.5%)0 (0.0%)

Income Below Poverty Among Married-Couple vs Single-Parent Households in Excel

Income Below Poverty Among Married-Couple vs Single-Parent Households in Excel
ChildrenMarried-Couple FamiliesSingle-Parent Households
No Children0 (0.0%)0 (0.0%)
1 or 2 Children0 (0.0%)2 (28.6%)
3 or 4 Children0 (0.0%)11 (84.6%)
5 or more Children0 (0.0%)0 (0.0%)
Total0 (0.0%)13 (30.9%)

Employment Characteristics in Excel

Employment by Class of Employer in Excel

Among the 174 employed individuals in Excel, private company employees (120 | 69.0%), local government employees (18 | 10.3%), and federal government employees (17 | 9.8%) make up the most common classes of employment.
Employment by Class of Employer in Excel
Employer Class# Employees% Employees
Private Company Employees12069.0%
Self-Employed (Incorporated)00.0%
Self-Employed (Not Incorporated)116.3%
Not-for-profit Organizations10.6%
Local Government Employees1810.3%
State Government Employees74.0%
Federal Government Employees179.8%
Unpaid Family Workers00.0%
Total174100.0%

Employment Status by Age in Excel

Employment Status by Age in Excel
Age BracketIn Labor ForceUnemployed
16 to 19 Years3 (10.0%)0 (0.0%)
20 to 24 Years5 (23.8%)0 (0.0%)
25 to 29 Years9 (45.0%)0 (0.0%)
30 to 34 Years18 (94.7%)0 (0.0%)
35 to 44 Years51 (82.3%)0 (0.0%)
45 to 54 Years67 (69.1%)0 (0.0%)
55 to 59 Years10 (83.3%)0 (0.0%)
60 to 64 Years7 (41.2%)0 (0.0%)
65 to 74 Years4 (10.5%)0 (0.0%)
75 Years and over0 (0.0%)0 (0.0%)
Total174 (49.0%)0 (0.0%)

Employment Status by Educational Attainment in Excel

Employment Status by Educational Attainment in Excel
Educational AttainmentIn Labor ForceUnemployed
Less than High School0 (0.0%)0 (0.0%)
High School Diploma65 (56.5%)0 (0.0%)
College / Associate Degree47 (79.7%)0 (0.0%)
Bachelor's Degree or higher50 (94.3%)0 (0.0%)
Total162 (71.4%)0 (0.0%)

Employment Occupations by Sex in Excel

Management, Business, Science and Arts Occupations

The most common Management, Business, Science and Arts occupations in Excel are Management (30 | 17.2%), Community & Social Service (21 | 12.1%), Education Instruction & Library (21 | 12.1%), Health Diagnosing & Treating (11 | 6.3%), and Health Technologists (11 | 6.3%).
Management, Business, Science and Arts Occupations in Excel

Management, Business, Science and Arts Occupations by Sex

Within the Management, Business, Science and Arts occupations in Excel, the most male-oriented occupations are Computers, Engineering & Science (100.0%), Architecture & Engineering (100.0%), and Management (63.3%), while the most female-oriented occupations are Business & Financial (100.0%), Health Diagnosing & Treating (100.0%), and Health Technologists (100.0%).
Management, Business, Science and Arts Occupations by Sex in Excel
OccupationMaleFemale
Management19 (63.3%)11 (36.7%)
Business & Financial0 (0.0%)1 (100.0%)
Computers, Engineering & Science5 (100.0%)0 (0.0%)
Computers & Mathematics0 (0.0%)0 (0.0%)
Architecture & Engineering5 (100.0%)0 (0.0%)
Life, Physical & Social Science0 (0.0%)0 (0.0%)
Community & Social Service 1 (4.8%)20 (95.2%)
Education, Arts & Media0 (0.0%)0 (0.0%)
Legal Services & Support0 (0.0%)0 (0.0%)
Education Instruction & Library1 (4.8%)20 (95.2%)
Arts, Media & Entertainment0 (0.0%)0 (0.0%)
Health Diagnosing & Treating0 (0.0%)11 (100.0%)
Health Technologists0 (0.0%)11 (100.0%)
Total (Category)25 (36.8%)43 (63.2%)
Total (Overall)106 (60.9%)68 (39.1%)

Services Occupations

The most common Services occupations in Excel are Security & Protection (5 | 2.9%), Firefighting & Prevention (5 | 2.9%), Healthcare Support (4 | 2.3%), Food Preparation & Serving (3 | 1.7%), and Cleaning & Maintenance (3 | 1.7%).
Services Occupations in Excel

Services Occupations by Sex

Within the Services occupations in Excel, the most male-oriented occupations are Security & Protection (100.0%), Firefighting & Prevention (100.0%), and Cleaning & Maintenance (100.0%), while the most female-oriented occupations are Healthcare Support (100.0%), and Food Preparation & Serving (100.0%).
Services Occupations by Sex in Excel
OccupationMaleFemale
Healthcare Support0 (0.0%)4 (100.0%)
Security & Protection5 (100.0%)0 (0.0%)
Firefighting & Prevention5 (100.0%)0 (0.0%)
Law Enforcement0 (0.0%)0 (0.0%)
Food Preparation & Serving0 (0.0%)3 (100.0%)
Cleaning & Maintenance3 (100.0%)0 (0.0%)
Personal Care & Service0 (0.0%)0 (0.0%)
Total (Category)8 (53.3%)7 (46.7%)
Total (Overall)106 (60.9%)68 (39.1%)

Sales and Office Occupations

The most common Sales and Office occupations in Excel are Office & Administration (13 | 7.5%), and Sales & Related (9 | 5.2%).
Sales and Office Occupations in Excel

Sales and Office Occupations by Sex

Sales and Office Occupations by Sex in Excel
OccupationMaleFemale
Sales & Related6 (66.7%)3 (33.3%)
Office & Administration0 (0.0%)13 (100.0%)
Total (Category)6 (27.3%)16 (72.7%)
Total (Overall)106 (60.9%)68 (39.1%)

Natural Resources, Construction and Maintenance Occupations

The most common Natural Resources, Construction and Maintenance occupations in Excel are Installation, Maintenance & Repair (16 | 9.2%), Construction & Extraction (11 | 6.3%), and Farming, Fishing & Forestry (2 | 1.1%).
Natural Resources, Construction and Maintenance Occupations in Excel

Natural Resources, Construction and Maintenance Occupations by Sex

Natural Resources, Construction and Maintenance Occupations by Sex in Excel
OccupationMaleFemale
Farming, Fishing & Forestry2 (100.0%)0 (0.0%)
Construction & Extraction11 (100.0%)0 (0.0%)
Installation, Maintenance & Repair16 (100.0%)0 (0.0%)
Total (Category)29 (100.0%)0 (0.0%)
Total (Overall)106 (60.9%)68 (39.1%)

Production, Transportation and Moving Occupations

The most common Production, Transportation and Moving occupations in Excel are Production (34 | 19.5%), and Material Moving (6 | 3.5%).
Production, Transportation and Moving Occupations in Excel

Production, Transportation and Moving Occupations by Sex

Production, Transportation and Moving Occupations by Sex in Excel
OccupationMaleFemale
Production32 (94.1%)2 (5.9%)
Transportation0 (0.0%)0 (0.0%)
Material Moving6 (100.0%)0 (0.0%)
Total (Category)38 (95.0%)2 (5.0%)
Total (Overall)106 (60.9%)68 (39.1%)

Employment Industries by Sex in Excel

Employment Industries in Excel

The major employment industries in Excel include Manufacturing (51 | 29.3%), Health Care & Social Assistance (28 | 16.1%), Public Administration (20 | 11.5%), Educational Services (18 | 10.3%), and Construction (12 | 6.9%).
Employment Industries in Excel

Employment Industries by Sex in Excel

The Excel industries that see more men than women are Agriculture, Fishing & Hunting (100.0%), Construction (100.0%), and Information (100.0%), whereas the industries that tend to have a higher number of women are Utilities (100.0%), Health Care & Social Assistance (100.0%), and Arts, Entertainment & Recreation (100.0%).
Employment Industries by Sex in Excel
IndustryMaleFemale
Agriculture, Fishing & Hunting11 (100.0%)0 (0.0%)
Mining, Quarrying, & Extraction0 (0.0%)0 (0.0%)
Construction12 (100.0%)0 (0.0%)
Manufacturing49 (96.1%)2 (3.9%)
Wholesale Trade0 (0.0%)0 (0.0%)
Retail Trade8 (80.0%)2 (20.0%)
Transportation & Warehousing5 (45.5%)6 (54.5%)
Utilities0 (0.0%)4 (100.0%)
Information3 (100.0%)0 (0.0%)
Finance & Insurance1 (50.0%)1 (50.0%)
Real Estate, Rental & Leasing0 (0.0%)0 (0.0%)
Professional & Scientific0 (0.0%)0 (0.0%)
Enterprise Management0 (0.0%)0 (0.0%)
Administrative & Support0 (0.0%)0 (0.0%)
Educational Services1 (5.6%)17 (94.4%)
Health Care & Social Assistance0 (0.0%)28 (100.0%)
Arts, Entertainment & Recreation0 (0.0%)3 (100.0%)
Accommodation & Food Services0 (0.0%)0 (0.0%)
Public Administration16 (80.0%)4 (20.0%)
Total106 (60.9%)68 (39.1%)

Education in Excel

School Enrollment in Excel

The most common levels of schooling among the 119 students in Excel are kindergarten (32 | 26.9%), high school (31 | 26.1%), and middle school (24 | 20.2%).
School Enrollment in Excel
School Level# Students% Students
Nursery / Preschool00.0%
Kindergarten3226.9%
Elementary School2218.5%
Middle School2420.2%
High School3126.1%
College / Undergraduate43.4%
Graduate / Professional65.0%
Total119100.0%

School Enrollment by Age by Funding Source in Excel

Out of a total of 119 students who are enrolled in schools in Excel, 5 (4.2%) attend a private institution, while the remaining 114 (95.8%) are enrolled in public schools. The age group of 35 years and over has the highest likelihood of being enrolled in private schools, with 5 (50.0% in the age bracket) enrolled. Conversely, the age group of 5 to 9 year old has the lowest likelihood of being enrolled in a private school, with 54 (100.0% in the age bracket) attending a public institution.
School Enrollment by Age by Funding Source in Excel
Age BracketPublic SchoolPrivate School
3 to 4 Year Olds0 (0.0%)0 (0.0%)
5 to 9 Year Old54 (100.0%)0 (0.0%)
10 to 14 Year Olds25 (100.0%)0 (0.0%)
15 to 17 Year Olds30 (100.0%)0 (0.0%)
18 to 19 Year Olds0 (0.0%)0 (0.0%)
20 to 24 Year Olds0 (0.0%)0 (0.0%)
25 to 34 Year Olds0 (0.0%)0 (0.0%)
35 Years and over5 (50.0%)5 (50.0%)
Total114 (95.8%)5 (4.2%)

Educational Attainment by Field of Study in Excel

Science & technology (27 | 47.4%), business (13 | 22.8%), arts & humanities (7 | 12.3%), engineering (6 | 10.5%), and liberal arts & history (3 | 5.3%) are the most common fields of study among 57 individuals in Excel who have obtained a bachelor's degree or higher.
Educational Attainment by Field of Study in Excel
Field of Study# Graduates% Graduates
Computers & Mathematics00.0%
Bio, Nature & Agricultural00.0%
Physical & Health Sciences00.0%
Psychology00.0%
Social Sciences00.0%
Engineering610.5%
Multidisciplinary Studies00.0%
Science & Technology2747.4%
Business1322.8%
Education11.8%
Literature & Languages00.0%
Liberal Arts & History35.3%
Visual & Performing Arts00.0%
Communications00.0%
Arts & Humanities712.3%
Total57100.0%

Transportation & Commute in Excel

Vehicle Availability by Sex in Excel

The most prevalent vehicle ownership categories in Excel are males with 2 vehicles (60, accounting for 56.6%) and females with 2 vehicles (32, making up 88.2%).
Vehicle Availability by Sex in Excel
Vehicles AvailableMaleFemale
No Vehicle0 (0.0%)0 (0.0%)
1 Vehicle12 (11.3%)3 (4.4%)
2 Vehicles60 (56.6%)32 (47.1%)
3 Vehicles20 (18.9%)16 (23.5%)
4 Vehicles9 (8.5%)13 (19.1%)
5 or more Vehicles5 (4.7%)4 (5.9%)
Total106 (100.0%)68 (100.0%)

Commute Time in Excel

The most frequently occuring commute durations in Excel are 45 to 59 minutes (38 commuters, 22.0%), less than 5 minutes (27 commuters, 15.6%), and 10 to 14 minutes (22 commuters, 12.7%).
Commute Time in Excel
Commute Time# Commuters% Commuters
Less than 5 Minutes2715.6%
5 to 9 Minutes126.9%
10 to 14 Minutes2212.7%
15 to 19 Minutes1810.4%
20 to 24 Minutes84.6%
25 to 29 Minutes00.0%
30 to 34 Minutes148.1%
35 to 39 Minutes21.2%
40 to 44 Minutes126.9%
45 to 59 Minutes3822.0%
60 to 89 Minutes21.2%
90 or more Minutes1810.4%

Commute Time by Sex in Excel

The most common commute times in Excel are 45 to 59 minutes (38 commuters, 35.8%) for males and less than 5 minutes (19 commuters, 28.4%) for females.
Commute Time by Sex in Excel
Commute TimeMaleFemale
Less than 5 Minutes8 (7.5%)19 (28.4%)
5 to 9 Minutes8 (7.5%)4 (6.0%)
10 to 14 Minutes3 (2.8%)19 (28.4%)
15 to 19 Minutes1 (0.9%)17 (25.4%)
20 to 24 Minutes8 (7.5%)0 (0.0%)
25 to 29 Minutes0 (0.0%)0 (0.0%)
30 to 34 Minutes13 (12.3%)1 (1.5%)
35 to 39 Minutes2 (1.9%)0 (0.0%)
40 to 44 Minutes12 (11.3%)0 (0.0%)
45 to 59 Minutes38 (35.8%)0 (0.0%)
60 to 89 Minutes2 (1.9%)0 (0.0%)
90 or more Minutes11 (10.4%)7 (10.4%)

Time of Departure to Work by Sex in Excel

The most frequent times of departure to work in Excel are 7:00 AM to 7:29 AM (48, 45.3%) for males and 6:00 AM to 6:29 AM (18, 26.9%) for females.
Time of Departure to Work by Sex in Excel
Time of DepartureMaleFemale
12:00 AM to 4:59 AM13 (12.3%)0 (0.0%)
5:00 AM to 5:29 AM14 (13.2%)0 (0.0%)
5:30 AM to 5:59 AM0 (0.0%)0 (0.0%)
6:00 AM to 6:29 AM6 (5.7%)18 (26.9%)
6:30 AM to 6:59 AM16 (15.1%)8 (11.9%)
7:00 AM to 7:29 AM48 (45.3%)17 (25.4%)
7:30 AM to 7:59 AM1 (0.9%)9 (13.4%)
8:00 AM to 8:29 AM2 (1.9%)5 (7.5%)
8:30 AM to 8:59 AM0 (0.0%)0 (0.0%)
9:00 AM to 9:59 AM0 (0.0%)7 (10.4%)
10:00 AM to 10:59 AM0 (0.0%)0 (0.0%)
11:00 AM to 11:59 AM0 (0.0%)0 (0.0%)
12:00 PM to 3:59 PM0 (0.0%)3 (4.5%)
4:00 PM to 11:59 PM6 (5.7%)0 (0.0%)
Total106 (100.0%)67 (100.0%)

Housing Occupancy in Excel

Occupancy by Ownership in Excel

Of the total 161 dwellings in Excel, owner-occupied units account for 126 (78.3%), while renter-occupied units make up 35 (21.7%).
Occupancy by Ownership in Excel
Occupancy# Housing Units% Housing Units
Owner Occupied Housing Units12678.3%
Renter-Occupied Housing Units3521.7%
Total Occupied Housing Units161100.0%

Occupancy by Household Size in Excel

Occupancy by Household Size in Excel
Household Size# Housing Units% Housing Units
1-Person Household3723.0%
2-Person Household5433.5%
3-Person Household4326.7%
4+ Person Household2716.8%
Total Housing Units161100.0%

Occupancy by Ownership by Household Size in Excel

Occupancy by Ownership by Household Size in Excel
Household SizeOwner-occupiedRenter-occupied
1-Person Household31 (83.8%)6 (16.2%)
2-Person Household49 (90.7%)5 (9.3%)
3-Person Household35 (81.4%)8 (18.6%)
4+ Person Household11 (40.7%)16 (59.3%)
Total Housing Units126 (78.3%)35 (21.7%)

Occupancy by Educational Attainment in Excel

Occupancy by Educational Attainment in Excel
Household SizeOwner-occupiedRenter-occupied
Less than High School5 (35.7%)9 (64.3%)
High School Diploma47 (71.2%)19 (28.8%)
College/Associate Degree38 (84.4%)7 (15.6%)
Bachelor's Degree or higher36 (100.0%)0 (0.0%)

Occupancy by Age of Householder in Excel

Occupancy by Age of Householder in Excel
Age Bracket# Households% Households
Under 35 Years2716.8%
35 to 44 Years3219.9%
45 to 54 Years3018.6%
55 to 64 Years127.4%
65 to 74 Years3119.3%
75 to 84 Years2716.8%
85 Years and Over21.2%
Total161100.0%

Housing Finances in Excel

Median Income by Occupancy in Excel

Median Income by Occupancy in Excel
Occupancy Type# HouseholdsMedian Income
Owner-Occupied126 (78.3%)$73,214
Renter-Occupied35 (21.7%)$0
Average161 (100.0%)$64,926

Occupancy by Householder Income Bracket in Excel

Occupancy by Householder Income Bracket in Excel
Income BracketOwner-occupiedRenter-occupied
Less than $5,0000 (0.0%)0 (0.0%)
$5,000 to $9,9992 (1.6%)11 (31.4%)
$10,000 to $14,9992 (1.6%)0 (0.0%)
$15,000 to $19,9990 (0.0%)6 (17.1%)
$20,000 to $24,9992 (1.6%)5 (14.3%)
$25,000 to $34,99913 (10.3%)0 (0.0%)
$35,000 to $49,9997 (5.6%)0 (0.0%)
$50,000 to $74,99942 (33.3%)0 (0.0%)
$75,000 to $99,99914 (11.1%)7 (20.0%)
$100,000 to $149,99930 (23.8%)6 (17.1%)
$150,000 or more14 (11.1%)0 (0.0%)
Total126 (100.0%)35 (100.0%)

Monthly Housing Cost Tiers in Excel

Monthly Housing Cost Tiers in Excel
Monthly CostOwner-occupiedRenter-occupied
Less than $3009 (7.1%)0 (0.0%)
$300 to $49919 (15.1%)4 (11.4%)
$500 to $7995 (4.0%)11 (31.4%)
$800 to $99926 (20.6%)5 (14.3%)
$1,000 to $1,49952 (41.3%)6 (17.1%)
$1,500 to $1,99915 (11.9%)0 (0.0%)
$2,000 to $2,4990 (0.0%)0 (0.0%)
$2,500 to $2,9990 (0.0%)0 (0.0%)
$3,000 or more0 (0.0%)0 (0.0%)
Total126 (100.0%)35 (100.0%)

Physical Housing Characteristics in Excel

Housing Structures in Excel

Housing Structures in Excel
Structure Type# Housing Units% Housing Units
Single Unit, Detached13885.7%
Single Unit, Attached42.5%
2 Unit Apartments21.2%
3 or 4 Unit Apartments00.0%
5 to 9 Unit Apartments00.0%
10 or more Apartments00.0%
Mobile Home / Other1710.6%
Total161100.0%

Housing Structures by Occupancy in Excel

Housing Structures by Occupancy in Excel
Structure TypeOwner-occupiedRenter-occupied
Single Unit, Detached122 (88.4%)16 (11.6%)
Single Unit, Attached4 (100.0%)0 (0.0%)
2 Unit Apartments0 (0.0%)2 (100.0%)
3 or 4 Unit Apartments0 (0.0%)0 (0.0%)
5 to 9 Unit Apartments0 (0.0%)0 (0.0%)
10 or more Apartments0 (0.0%)0 (0.0%)
Mobile Home / Other0 (0.0%)17 (100.0%)
Total126 (78.3%)35 (21.7%)

Housing Structures by Number of Rooms in Excel

Housing Structures by Number of Rooms in Excel
Number of RoomsOwner-occupiedRenter-occupied
1 Room0 (0.0%)0 (0.0%)
2 or 3 Rooms6 (4.8%)2 (5.7%)
4 or 5 Rooms29 (23.0%)22 (62.9%)
6 or 7 Rooms60 (47.6%)5 (14.3%)
8 or more Rooms31 (24.6%)6 (17.1%)
Total126 (100.0%)35 (100.0%)

Housing Structure by Heating Type in Excel

Housing Structure by Heating Type in Excel
Heating TypeOwner-occupiedRenter-occupied
Utility Gas15 (11.9%)11 (31.4%)
Bottled, Tank, or LP Gas0 (0.0%)0 (0.0%)
Electricity111 (88.1%)24 (68.6%)
Fuel Oil or Kerosene0 (0.0%)0 (0.0%)
Coal or Coke0 (0.0%)0 (0.0%)
All other Fuels0 (0.0%)0 (0.0%)
No Fuel Used0 (0.0%)0 (0.0%)
Total126 (100.0%)35 (100.0%)

Household Vehicle Usage in Excel

Household Vehicle Usage in Excel
Vehicles per HouseholdOwner-occupiedRenter-occupied
No Vehicle0 (0.0%)17 (48.6%)
1 Vehicle30 (23.8%)5 (14.3%)
2 Vehicles63 (50.0%)7 (20.0%)
3 or more Vehicles33 (26.2%)6 (17.1%)
Total126 (100.0%)35 (100.0%)

Real Estate & Mortgages in Excel

Real Estate and Mortgage Overview in Excel

CharacteristicWithout MortgageWith Mortgage
Housing Units3690
Median Property Value$190,900$119,800
Median Household Income$41,250$14
Monthly Housing Costs$356$0
Real Estate Taxes--

Property Value by Mortgage Status in Excel

Property Value by Mortgage Status in Excel
Property ValueWithout MortgageWith Mortgage
Less than $50,0000 (0.0%)4 (4.4%)
$50,000 to $99,9995 (13.9%)22 (24.4%)
$100,000 to $299,99924 (66.7%)62 (68.9%)
$300,000 to $499,9997 (19.4%)2 (2.2%)
$500,000 to $749,9990 (0.0%)0 (0.0%)
$750,000 to $999,9990 (0.0%)0 (0.0%)
$1,000,000 or more0 (0.0%)0 (0.0%)
Total36 (100.0%)90 (100.0%)

Household Income by Mortgage Status in Excel

Household Income by Mortgage Status in Excel
Household IncomeWithout MortgageWith Mortgage
Less than $10,0002 (5.6%)0 (0.0%)
$10,000 to $24,9994 (11.1%)0 (0.0%)
$25,000 to $34,9999 (25.0%)0 (0.0%)
$35,000 to $49,9994 (11.1%)4 (4.4%)
$50,000 to $74,99916 (44.4%)3 (3.3%)
$75,000 to $99,9990 (0.0%)26 (28.9%)
$100,000 to $149,9991 (2.8%)14 (15.6%)
$150,000 or more0 (0.0%)29 (32.2%)
Total36 (100.0%)90 (100.0%)

Property Value to Household Income Ratio in Excel

Property Value to Household Income Ratio in Excel
Value-to-Income RatioWithout MortgageWith Mortgage
Less than 2.0x2 (5.6%)94,444 (104,937.8%)
2.0x to 2.9x4 (11.1%)75 (83.3%)
3.0x to 3.9x9 (25.0%)10 (11.1%)
4.0x or more21 (58.3%)1 (1.1%)
Total36 (100.0%)90 (100.0%)

Real Estate Taxes by Mortgage Status in Excel

Real Estate Taxes by Mortgage Status in Excel
Property TaxesWithout MortgageWith Mortgage
Less than $80018 (50.0%)0 (0.0%)
$800 to $1,4990 (0.0%)60 (66.7%)
$800 to $1,4997 (19.4%)2 (2.2%)
Total36 (100.0%)90 (100.0%)

Health & Disability in Excel

Health Insurance Coverage by Age in Excel

Health Insurance Coverage by Age in Excel
Age BracketWith CoverageWithout Coverage
Under 6 Years33 (100.0%)0 (0.0%)
6 to 18 Years115 (100.0%)0 (0.0%)
19 to 25 Years21 (100.0%)0 (0.0%)
26 to 34 Years37 (94.9%)2 (5.1%)
35 to 44 Years55 (88.7%)7 (11.3%)
45 to 54 Years71 (73.2%)26 (26.8%)
55 to 64 Years29 (100.0%)0 (0.0%)
65 to 74 Years38 (100.0%)0 (0.0%)
75 Years and older39 (100.0%)0 (0.0%)
Total438 (92.6%)35 (7.4%)

Health Insurance Coverage by Citizenship Status in Excel

Health Insurance Coverage by Citizenship Status in Excel
Citizenship StatusWith CoverageWithout Coverage
Native Born33 (100.0%)0 (0.0%)
Foreign Born, Citizen115 (100.0%)0 (0.0%)
Foreign Born, not a Citizen21 (100.0%)0 (0.0%)

Health Insurance Coverage by Household Income in Excel

Health Insurance Coverage by Household Income in Excel
Household IncomeWith CoverageWithout Coverage
Under $25,00084 (95.5%)4 (4.5%)
$25,000 to $49,99941 (89.1%)5 (10.9%)
$50,000 to $74,99995 (78.5%)26 (21.5%)
$75,000 to $99,99993 (100.0%)0 (0.0%)
$100,000 and over125 (100.0%)0 (0.0%)

Public vs Private Health Insurance Coverage by Age in Excel

Public vs Private Health Insurance Coverage by Age in Excel
Age BracketPublic InsurancePrivate Insurance
Under 620 (60.6%)13 (39.4%)
6 to 18 Years38 (33.0%)77 (67.0%)
19 to 25 Years16 (76.2%)8 (38.1%)
25 to 34 Years11 (28.2%)26 (66.7%)
35 to 44 Years5 (8.1%)55 (88.7%)
45 to 54 Years4 (4.1%)67 (69.1%)
55 to 64 Years2 (6.9%)27 (93.1%)
65 to 74 Years38 (100.0%)10 (26.3%)
75 Years and over39 (100.0%)16 (41.0%)
Total173 (36.6%)299 (63.2%)

Disability Status by Sex by Age in Excel

Disability Status by Sex by Age in Excel
Age BracketMaleFemale
Under 5 Years0 (0.0%)0 (0.0%)
5 to 17 Years3 (6.4%)0 (0.0%)
18 to 34 Years0 (0.0%)0 (0.0%)
35 to 64 Years12 (9.2%)6 (10.5%)
65 to 74 Years5 (71.4%)6 (19.4%)
75 Years and over1 (8.3%)11 (40.7%)

Disability Class by Sex by Age in Excel

Disability Class: Hearing Difficulty

Disability in Excel: <span>Hearing Difficulty</span>
Age BracketMaleFemale
Under 5 Years0 (0.0%)0 (0.0%)
5 to 17 Years0 (0.0%)0 (0.0%)
18 to 34 Years0 (0.0%)0 (0.0%)
35 to 64 Years4 (3.0%)0 (0.0%)
65 to 74 Years5 (71.4%)0 (0.0%)
75 Years and over1 (8.3%)3 (11.1%)

Disability Class: Vision Difficulty

Disability in Excel: <span>Vision Difficulty</span>
Age BracketMaleFemale
Under 5 Years0 (0.0%)0 (0.0%)
5 to 17 Years0 (0.0%)0 (0.0%)
18 to 34 Years0 (0.0%)0 (0.0%)
35 to 64 Years0 (0.0%)0 (0.0%)
65 to 74 Years0 (0.0%)0 (0.0%)
75 Years and over0 (0.0%)5 (18.5%)

Disability Class: Cognitive Difficulty

Disability in Excel: <span>Cognitive Difficulty</span>
Age BracketMaleFemale
5 to 17 Years3 (6.4%)0 (0.0%)
18 to 34 Years0 (0.0%)0 (0.0%)
35 to 64 Years12 (9.2%)0 (0.0%)
65 to 74 Years0 (0.0%)5 (16.1%)
75 Years and over1 (8.3%)5 (18.5%)

Disability Class: Ambulatory Difficulty

Disability in Excel: <span>Ambulatory Difficulty</span>
Age BracketMaleFemale
5 to 17 Years0 (0.0%)0 (0.0%)
18 to 34 Years0 (0.0%)0 (0.0%)
35 to 64 Years8 (6.1%)0 (0.0%)
65 to 74 Years5 (71.4%)6 (19.4%)
75 Years and over1 (8.3%)6 (22.2%)

Disability Class: Self-Care Difficulty

Disability in Excel: <span>Self-Care Difficulty</span>
Age BracketMaleFemale
5 to 17 Years0 (0.0%)0 (0.0%)
18 to 34 Years0 (0.0%)0 (0.0%)
35 to 64 Years2 (1.5%)0 (0.0%)
65 to 74 Years0 (0.0%)5 (16.1%)
75 Years and over1 (8.3%)0 (0.0%)

Technology Access in Excel

Computing Device Access in Excel

Computing Device Access in Excel
Device Type# Households% Households
Desktop or Laptop8955.3%
Smartphone12980.1%
Tablet5936.6%
No Computing Device2515.5%
Total161100.0%

Internet Access in Excel

Internet Access in Excel
Internet Type# Households% Households
Dial-Up Internet00.0%
Broadband Home6842.2%
Cellular Data Only2012.4%
Satellite Internet85.0%
No Internet6741.6%
Total161100.0%

Excel Summary

Excel, Alabama is a small town located in the southeastern corner of the state, in the county of Clarke. It is situated on the banks of the Tombigbee River, and is home to a population of approximately 1,500 people. The town was founded in 1819 and has a rich history of agriculture, industry, and commerce.

Geography

Excel is located in the southeastern corner of Clarke County, Alabama, and is situated on the banks of the Tombigbee River. The town is located approximately 20 miles north of Mobile, Alabama, and is part of the Mobile-Tuscaloosa-Birmingham Combined Statistical Area. The town is surrounded by a number of small towns and rural communities, including Coffeeville, Thomasville, and Grove Hill. The town is located in a region of rolling hills and forests, and is home to a number of small lakes and rivers.

Economy

Excel has a long history of agriculture and industry. The town was once home to a number of cotton gins, sawmills, and other small businesses. Today, the town is home to a number of small businesses, including a grocery store, a hardware store, and a few restaurants. The town is also home to a number of small manufacturing companies, including a furniture manufacturer and a paper mill. The town is also home to a number of small farms, which produce a variety of crops, including cotton, corn, and soybeans.

Demographics

As of the 2010 census, Excel had a population of 1,500 people. The town is predominantly white, with a small African American population. The median household income in Excel is $30,000, and the median home value is $90,000. The town has a high rate of poverty, with nearly 30% of the population living below the poverty line.

Conclusion

Excel, Alabama is a small town located in the southeastern corner of the state, in the county of Clarke. It is situated on the banks of the Tombigbee River, and is home to a population of approximately 1,500 people. The town has a long history of agriculture and industry, and is home to a number of small businesses and manufacturing companies. The town is predominantly white, with a small African American population, and has a high rate of poverty.

Common Questions

What is the Total Population of Excel?
Total Population of Excel is 473.
What is the Total Male Population of Excel?
Total Male Population of Excel is 244.
What is the Total Female Population of Excel?
Total Female Population of Excel is 229.
What is the Ratio of Males per 100 Females in Excel?
There are 106.55 Males per 100 Females in Excel.
What is the Ratio of Females per 100 Males in Excel?
There are 93.85 Females per 100 Males in Excel.
What is the Median Population Age in Excel?
Median Population Age in Excel is 38.6 Years.
What is the Average Family Size in Excel
Average Family Size in Excel is 3.3 People.
What is the Average Household Size in Excel
Average Household Size in Excel is 2.9 People.
What is Per Capita Income in Excel?
Per Capita income in Excel is $27,698.
What is the Median Family Income in Excel?
Median Family Income in Excel is $73,036.
What is the Median Household income in Excel?
Median Household Income in Excel is $64,926.
What is Income or Wage Gap in Excel?
Income or Wage Gap in Excel is 32.5%.
Women in Excel earn 67.5 cents for every dollar earned by a man.
What is Inequality or Gini Index in Excel?
Inequality or Gini Index in Excel is 0.38.
How Large is the Labor Force in Excel?
There are 174 People in the Labor Forcein in Excel.
What is the Percentage of People in the Labor Force in Excel?
49.0% of People are in the Labor Force in Excel.