Zip Code 01719 Map & Demographics

Q: What is Per Capita Income in Zip Code 01719?

Per Capita income in Zip Code 01719 is $73,508.

Q: What is the Median Family Income in Zip Code 01719?

Median Family Income in Zip Code 01719 is $224,567.

Q: What is the Median Household income in Zip Code 01719?

Median Household Income in Zip Code 01719 is $151,207.

Q: What is Income or Wage Gap in Zip Code 01719?

Income or Wage Gap in Zip Code 01719 is 70.8%.Women in Zip Code 01719 earn 29.2 cents for every dollar earned by a man.

Q: What is Inequality or Gini Index in Zip Code 01719?

Inequality or Gini Index in Zip Code 01719 is 0.41.

Q: What is the Total Population of Zip Code 01719?

Total Population of Zip Code 01719 is 5,462.

Q: What is the Total Male Population of Zip Code 01719?

Total Male Population of Zip Code 01719 is 2,562.

Q: What is the Total Female Population of Zip Code 01719?

Total Female Population of Zip Code 01719 is 2,900.

Q: What is the Ratio of Males per 100 Females in Zip Code 01719?

There are 88.34 Males per 100 Females in Zip Code 01719.

Q: What is the Ratio of Females per 100 Males in Zip Code 01719?

There are 113.19 Females per 100 Males in Zip Code 01719.

On this page

Map Overview Area Codes Income Income Overview Earnings by Sex Earnings by Sex by Income Bracket Earnings by Sex by Education Income (Family)Family Income Brackets Family Income by Family Size Family Income by Number of Earners Income (Household)Household Income Brackets Household Income by Householder Age Poverty Income Below Poverty by Sex by Age Income Above Poverty by Sex by Age Poverty Among Married-Couple Families Poverty Among Single-Parent Households Poverty Among Married Couples vs Single Parents Race Ancestry Immigrants Sex and Age Families and Households Median Family Size by Type Median Household Size by Type Household Size by Marriage Status Fertility Fertility by Age Fertility by Age by Marriage Status Fertility by Education Fertility by Education by Marriage Status Employment Employment by Class of Employer Employment Status by Age Employment Status by Education Employment Occupations by Sex Employment Industries by Sex Education School Enrollment School Enrollment by Age by Funding Source Educational Attainment by Field of Study Transportation & Commute Vehicle Availability by Sex Commute Time Commute Time by Sex Time of Departure to Work by Sex Housing Occupancy Occupancy by Ownership Occupancy by Household Size Occupancy by Ownership Household Size Occupancy by Educational Attainment Occupancy by Age of Householder Housing Finances Median Income by Occupancy Occupancy by Income Brackets Housing Costs Monthly Median Housing Costs Monthly Housing Cost Tiers Physical Housing Characteristics Housing Structures Housing Structures by Occupancy Housing Structures by Number of Rooms Housing Structures by Heating Type Households by Vehicle Usage Real Estate & Mortgages Real Estate & Mortgage Overview Property Value by Mortgage Status Housing Costs by Income by Mortgage Status Property Value to Household Income Ratio Real Estate Taxes by Mortgage Status Health & Disability Health Insurance Coverage by Age Health Insurance Coverage by Citizenship Health Insurance Coverage by Household Income Public vs Private Health Insurance Coverage Disability Status by Sex by Age Disability Class by Sex by Age Technology Access Computing Device Access Internet Access Common Questions

Zip Code 01719 Map

Zip Code 01719 Overview

$73,508

PER CAPITA INCOME

$224,567

AVG FAMILY INCOME

$151,207

AVG HOUSEHOLD INCOME

70.8%

WAGE / INCOME GAP [ % ]

29.2¢/ $1

WAGE / INCOME GAP [ $ ]

0.41

INEQUALITY / GINI INDEX

5,462

TOTAL POPULATION

2,562

MALE POPULATION

2,900

FEMALE POPULATION

88.34

MALES / 100 FEMALES

113.19

FEMALES / 100 MALES

41.8

MEDIAN AGE

3.1

AVG FAMILY SIZE

2.5

AVG HOUSEHOLD SIZE

3,347

LABOR FORCE [ PEOPLE ]

73.5%

PERCENT IN LABOR FORCE

5.4%

UNEMPLOYMENT RATE

Zip Code 01719 Area Codes

508, 978

Income in Zip Code 01719

Income Overview in Zip Code 01719

Per Capita Income in Zip Code 01719 is $73,508, while median incomes of families and households are $224,567 and $151,207 respectively.

Characteristic	Number	Measure
Per Capita Income	5,462	$73,508
Median Family Income	1,423	$224,567
Mean Family Income	1,423	$239,278
Median Household Income	2,166	$151,207
Mean Household Income	2,166	$185,074
Income Deficit	1,423	$0
Wage / Income Gap (%)	5,462	70.76%
Wage / Income Gap ($)	5,462	29.24¢ per $1
Gini / Inequality Index	5,462	0.41

Earnings by Sex in Zip Code 01719

Average Earnings in Zip Code 01719 are $66,290, $122,344 for men and $35,774 for women, a difference of 70.8%.

Sex	Number	Average Earnings
Male	1,834 (51.0%)	$122,344
Female	1,760 (49.0%)	$35,774
Total	3,594 (100.0%)	$66,290

Earnings by Sex by Income Bracket in Zip Code 01719

The most common earnings brackets in Zip Code 01719 are $100,000+ for men (1,010 | 55.1%) and $100,000+ for women (347 | 19.7%).

Income	Male	Female
$2,499 or less	58 (3.2%)	45 (2.6%)
$2,500 to $4,999	44 (2.4%)	37 (2.1%)
$5,000 to $7,499	17 (0.9%)	163 (9.3%)
$7,500 to $9,999	8 (0.4%)	127 (7.2%)
$10,000 to $12,499	28 (1.5%)	40 (2.3%)
$12,500 to $14,999	0 (0.0%)	11 (0.6%)
$15,000 to $17,499	7 (0.4%)	116 (6.6%)
$17,500 to $19,999	33 (1.8%)	34 (1.9%)
$20,000 to $22,499	0 (0.0%)	60 (3.4%)
$22,500 to $24,999	23 (1.3%)	23 (1.3%)
$25,000 to $29,999	51 (2.8%)	52 (2.9%)
$30,000 to $34,999	30 (1.6%)	159 (9.0%)
$35,000 to $39,999	9 (0.5%)	64 (3.6%)
$40,000 to $44,999	86 (4.7%)	83 (4.7%)
$45,000 to $49,999	38 (2.1%)	40 (2.3%)
$50,000 to $54,999	13 (0.7%)	7 (0.4%)
$55,000 to $64,999	187 (10.2%)	88 (5.0%)
$65,000 to $74,999	57 (3.1%)	63 (3.6%)
$75,000 to $99,999	135 (7.4%)	201 (11.4%)
$100,000+	1,010 (55.1%)	347 (19.7%)
Total	1,834 (100.0%)	1,760 (100.0%)

Earnings by Sex by Educational Attainment in Zip Code 01719

Average earnings in Zip Code 01719 are $129,036 for men and $63,403 for women, a difference of 50.9%. Men with an educational attainment of graduate degree enjoy the highest average annual earnings of $189,663, while those with high school diploma education earn the least with $37,639. Women with an educational attainment of graduate degree earn the most with the average annual earnings of $106,900, while those with college or associate's degree education have the smallest earnings of $37,375.

Educational Attainment	Male Income	Female Income
Less than High School	$55,321	$0
High School Diploma	$37,639	$0
College or Associate's Degree	$59,063	$37,375
Bachelor's Degree	$128,929	$70,500
Graduate Degree	$189,663	$106,900
Total	$129,036	$63,403

Family Income in Zip Code 01719

Family Income Brackets in Zip Code 01719

According to the Zip Code 01719 family income data, there are 807 families falling into the $200,000+ income range, which is the most common income bracket and makes up 56.7% of all families.

Income Bracket	# Families	% Families
Less than $10,000	33	2.3%
$10,000 to $14,999	0	0.0%
$15,000 to $24,999	0	0.0%
$25,000 to $34,999	14	1.0%
$35,000 to $49,999	11	0.8%
$50,000 to $74,999	38	2.7%
$75,000 to $99,999	176	12.4%
$100,000 to $149,999	131	9.2%
$150,000 to $199,999	211	14.8%
$200,000+	807	56.7%

Family Income by Famaliy Size in Zip Code 01719

4-person families (423 | 29.7%) account for the highest median family income in Zip Code 01719 with $250,001 per family, while 2-person families (521 | 36.6%) have the highest median income of $80,354 per family member.

Income Bracket	# Families	Median Income
2-Person Families	521 (36.6%)	$160,707
3-Person Families	359 (25.2%)	$170,673
4-Person Families	423 (29.7%)	$250,001
5-Person Families	77 (5.4%)	$250,001
6-Person Families	33 (2.3%)	$0
7+ Person Families	10 (0.7%)	$0
Total	1,423 (100.0%)	$224,567

Family Income by Number of Earners in Zip Code 01719

The median family income in Zip Code 01719 is $224,567, with families comprising 2 earners (663) having the highest median family income of $250,001, while families with 1 earner (400) have the lowest median family income of $134,167, accounting for 46.6% and 28.1% of families, respectively.

Number of Earners	# Families	Median Income
No Earners	80 (5.6%)	$198,750
1 Earner	400 (28.1%)	$134,167
2 Earners	663 (46.6%)	$250,001
3+ Earners	280 (19.7%)	$250,001
Total	1,423 (100.0%)	$224,567

Household Income in Zip Code 01719

Household Income Brackets in Zip Code 01719

With 827 households falling in the category, the $200,000+ income range is the most frequent in Zip Code 01719, accounting for 38.2% of all households.

Income Bracket	# Households	% Households
Less than $10,000	74	3.4%
$10,000 to $14,999	0	0.0%
$15,000 to $24,999	91	4.2%
$25,000 to $34,999	35	1.6%
$35,000 to $49,999	160	7.4%
$50,000 to $74,999	171	7.9%
$75,000 to $99,999	186	8.6%
$100,000 to $149,999	351	16.2%
$150,000 to $199,999	269	12.4%
$200,000+	827	38.2%

Household Income by Householder Age in Zip Code 01719

The median household income in Zip Code 01719 is $151,207, with the highest median household income of $222,813 found in the 45 to 64 years age bracket for the primary householder. A total of 981 households (45.3%) 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 29 households (1.3%) in this group.

Income Bracket	# Households	Median Income
15 to 24 Years	29 (1.3%)	$0
25 to 44 Years	698 (32.2%)	$116,111
45 to 64 Years	981 (45.3%)	$222,813
65+ Years	458 (21.1%)	$101,000
Total	2,166 (100.0%)	$151,207

Poverty in Zip Code 01719

Income Below Poverty by Sex and Age in Zip Code 01719

With 3.0% poverty level for males and 5.0% for females among the residents of Zip Code 01719, 16 and 17 year old males and 18 to 24 year old females are the most vulnerable to poverty, with 48 males (39.0%) and 84 females (14.8%) in their respective age groups living below the poverty level.

Age Bracket	Male	Female
Under 5 Years	0 (0.0%)	0 (0.0%)
5 Years	0 (0.0%)	0 (0.0%)
6 to 11 Years	0 (0.0%)	0 (0.0%)
12 to 14 Years	0 (0.0%)	0 (0.0%)
15 Years	0 (0.0%)	0 (0.0%)
16 and 17 Years	48 (39.0%)	0 (0.0%)
18 to 24 Years	14 (14.1%)	84 (14.8%)
25 to 34 Years	6 (2.2%)	0 (0.0%)
35 to 44 Years	8 (2.2%)	33 (9.0%)
45 to 54 Years	0 (0.0%)	0 (0.0%)
55 to 64 Years	0 (0.0%)	8 (1.5%)
65 to 74 Years	0 (0.0%)	19 (10.2%)
75 Years and over	0 (0.0%)	0 (0.0%)
Total	76 (3.0%)	144 (5.0%)

Income Above Poverty by Sex and Age in Zip Code 01719

According to the poverty statistics in Zip Code 01719, males aged under 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.

Age Bracket	Male	Female
Under 5 Years	88 (100.0%)	39 (100.0%)
5 Years	46 (100.0%)	34 (100.0%)
6 to 11 Years	155 (100.0%)	258 (100.0%)
12 to 14 Years	150 (100.0%)	86 (100.0%)
15 Years	25 (100.0%)	27 (100.0%)
16 and 17 Years	75 (61.0%)	84 (100.0%)
18 to 24 Years	85 (85.9%)	482 (85.2%)
25 to 34 Years	264 (97.8%)	202 (100.0%)
35 to 44 Years	350 (97.8%)	333 (91.0%)
45 to 54 Years	373 (100.0%)	364 (100.0%)
55 to 64 Years	536 (100.0%)	532 (98.5%)
65 to 74 Years	256 (100.0%)	168 (89.8%)
75 Years and over	83 (100.0%)	147 (100.0%)
Total	2,486 (97.0%)	2,756 (95.0%)

Income Below Poverty Among Married-Couple Families in Zip Code 01719

Children	Above Poverty	Below Poverty
No Children	681 (100.0%)	0 (0.0%)
1 or 2 Children	554 (100.0%)	0 (0.0%)
3 or 4 Children	47 (100.0%)	0 (0.0%)
5 or more Children	10 (100.0%)	0 (0.0%)
Total	1,292 (100.0%)	0 (0.0%)

Income Below Poverty Among Single-Parent Households in Zip Code 01719

Children	Single Father	Single Mother
No Children	0 (0.0%)	0 (0.0%)
1 or 2 Children	0 (0.0%)	33 (54.1%)
3 or 4 Children	0 (0.0%)	0 (0.0%)
5 or more Children	0 (0.0%)	0 (0.0%)
Total	0 (0.0%)	33 (28.2%)

Income Below Poverty Among Married-Couple vs Single-Parent Households in Zip Code 01719

Children	Married-Couple Families	Single-Parent Households
No Children	0 (0.0%)	0 (0.0%)
1 or 2 Children	0 (0.0%)	33 (47.1%)
3 or 4 Children	0 (0.0%)	0 (0.0%)
5 or more Children	0 (0.0%)	0 (0.0%)
Total	0 (0.0%)	33 (25.2%)

Race in Zip Code 01719

The most populous races in Zip Code 01719 are White / Caucasian (3,798 | 69.5%), Asian (958 | 17.5%), and Black / African American (514 | 9.4%).

Race	# Population	% Population
Asian	958	17.5%
Black / African American	514	9.4%
Hawaiian / Pacific	0	0.0%
Hispanic or Latino	76	1.4%
Native / Alaskan	0	0.0%
White / Caucasian	3,798	69.5%
Two or more Races	115	2.1%
Some other Race	77	1.4%
Total	5,462	100.0%

Ancestry in Zip Code 01719

The most populous ancestries reported in Zip Code 01719 are Irish (913 | 16.7%), English (767 | 14.0%), German (489 | 8.9%), Thai (439 | 8.0%), and Indian (Asian) (392 | 7.2%), together accounting for 54.9% of all Zip Code 01719 residents.

Ancestry	# Population	% Population
African	338	6.2%
Albanian	34	0.6%
American	171	3.1%
Arab	48	0.9%
Armenian	9	0.2%
Austrian	37	0.7%
Bangladeshi	22	0.4%
Brazilian	104	1.9%
British	64	1.2%
Burmese	79	1.5%
Central American	6	0.1%
Colombian	10	0.2%
Costa Rican	6	0.1%
Czechoslovakian	24	0.4%
Dominican	15	0.3%
Dutch	26	0.5%
Eastern European	18	0.3%
Egyptian	37	0.7%
English	767	14.0%
European	61	1.1%
Filipino	45	0.8%
Finnish	14	0.3%
French	270	4.9%
French Canadian	56	1.0%
German	489	8.9%
Greek	6	0.1%
Haitian	7	0.1%
Hungarian	36	0.7%
Indian (Asian)	392	7.2%
Iranian	72	1.3%
Irish	913	16.7%
Italian	317	5.8%
Lithuanian	110	2.0%
Mexican	45	0.8%
Moroccan	11	0.2%
Norwegian	14	0.3%
Polish	113	2.1%
Portuguese	23	0.4%
Romanian	22	0.4%
Russian	245	4.5%
Scandinavian	21	0.4%
Scotch-Irish	13	0.2%
Scottish	71	1.3%
South American	10	0.2%
Subsaharan African	338	6.2%
Swedish	89	1.6%
Thai	439	8.0%
Ukrainian	22	0.4%
Vietnamese	13	0.2%
Welsh	79	1.5%
View All 50 Rows

Immigrants in Zip Code 01719

The most numerous immigrant groups reported in Zip Code 01719 came from Asia (668 | 12.2%), Africa (397 | 7.3%), South Central Asia (336 | 6.1%), Eastern Asia (321 | 5.9%), and China (296 | 5.4%), together accounting for 37.0% of all Zip Code 01719 residents.

Immigration Origin	# Population	% Population
Africa	397	7.3%
Asia	668	12.2%
Bangladesh	13	0.2%
Belarus	23	0.4%
Brazil	104	1.9%
Canada	64	1.2%
Central America	36	0.7%
China	296	5.4%
Costa Rica	6	0.1%
Eastern Africa	143	2.6%
Eastern Asia	321	5.9%
Eastern Europe	77	1.4%
Egypt	37	0.7%
England	11	0.2%
Europe	125	2.3%
Ghana	108	2.0%
Greece	26	0.5%
Hong Kong	49	0.9%
India	255	4.7%
Iran	52	0.9%
Korea	25	0.5%
Latin America	150	2.8%
Lithuania	25	0.5%
Mexico	30	0.5%
Nigeria	109	2.0%
Northern Africa	37	0.7%
Northern Europe	22	0.4%
Pakistan	16	0.3%
Poland	4	0.1%
Russia	25	0.5%
South America	114	2.1%
South Central Asia	336	6.1%
South Eastern Asia	11	0.2%
Southern Europe	26	0.5%
Taiwan	45	0.8%
Thailand	11	0.2%
Uganda	143	2.6%
Venezuela	10	0.2%
Western Africa	217	4.0%
View All 39 Rows

Sex and Age in Zip Code 01719

The most populous age groups in Zip Code 01719 are 55 to 59 Years (407 | 15.9%) for men and 20 to 24 Years (356 | 12.3%) for women.

Age Bracket	Male	Female
Under 5 Years	88 (3.4%)	39 (1.3%)
5 to 9 Years	150 (5.9%)	228 (7.9%)
10 to 14 Years	201 (7.9%)	150 (5.2%)
15 to 19 Years	177 (6.9%)	321 (11.1%)
20 to 24 Years	70 (2.7%)	356 (12.3%)
25 to 29 Years	83 (3.2%)	157 (5.4%)
30 to 34 Years	187 (7.3%)	45 (1.5%)
35 to 39 Years	92 (3.6%)	194 (6.7%)
40 to 44 Years	266 (10.4%)	172 (5.9%)
45 to 49 Years	210 (8.2%)	175 (6.0%)
50 to 54 Years	163 (6.4%)	189 (6.5%)
55 to 59 Years	407 (15.9%)	327 (11.3%)
60 to 64 Years	129 (5.0%)	213 (7.3%)
65 to 69 Years	92 (3.6%)	109 (3.8%)
70 to 74 Years	164 (6.4%)	78 (2.7%)
75 to 79 Years	59 (2.3%)	57 (2.0%)
80 to 84 Years	14 (0.5%)	78 (2.7%)
85 Years and over	10 (0.4%)	12 (0.4%)
Total	2,562 (100.0%)	2,900 (100.0%)

Families and Households in Zip Code 01719

Median Family Size in Zip Code 01719

The median family size in Zip Code 01719 is 3.13 persons per family, with married-couple families (1,292 | 90.8%) accounting for the largest median family size of 3.21 persons per family. On the other hand, single female/mother families (117 | 8.2%) represent the smallest median family size with 2.26 persons per family.

Family Type	# Families	Family Size
Married-Couple	1,292 (90.8%)	3.21
Single Male/Father	14 (1.0%)	2.50
Single Female/Mother	117 (8.2%)	2.26
Total Families	1,423 (100.0%)	3.13

Median Household Size in Zip Code 01719

The median household size in Zip Code 01719 is 2.52 persons per household, with married-couple households (1,292 | 59.7%) accounting for the largest median household size of 3.21 persons per household. non-family households (743 | 34.3%) represent the smallest median household size with 1.36 persons per household.

Household Type	# Households	Household Size
Married-Couple	1,292 (59.7%)	3.21
Single Male/Father	14 (0.6%)	2.50
Single Female/Mother	117 (5.4%)	2.26
Non-family	743 (34.3%)	1.36
Total Households	2,166 (100.0%)	2.52

Household Size by Marriage Status in Zip Code 01719

Out of a total of 2,166 households in Zip Code 01719, 1,423 (65.7%) are family households, while 743 (34.3%) are nonfamily households. The most numerous type of family households are 2-person households, comprising 521, and the most common type of nonfamily households are 1-person households, comprising 526.

Household Size	Family Households	Nonfamily Households
1-Person Households	-	526 (24.3%)
2-Person Households	521 (24.0%)	207 (9.6%)
3-Person Households	359 (16.6%)	0 (0.0%)
4-Person Households	423 (19.5%)	0 (0.0%)
5-Person Households	77 (3.5%)	10 (0.5%)
6-Person Households	33 (1.5%)	0 (0.0%)
7+ Person Households	10 (0.5%)	0 (0.0%)
Total	1,423 (65.7%)	743 (34.3%)

Female Fertility in Zip Code 01719

Fertility by Age in Zip Code 01719

Average fertility rate in Zip Code 01719 is 11.0 births per 1,000 women. Women in the age bracket of 35 to 50 years have the highest fertility rate with 16.0 births per 1,000 women. Women in the age bracket of 35 to 50 years acount for 62.5% 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	6 (37.5%)	11.0
35 to 50 years	10 (62.5%)	16.0
Total	16 (100.0%)	11.0

Fertility by Age by Marriage Status in Zip Code 01719

Age Bracket	Married	Unmarried
15 to 19 years	0 (0.0%)	0 (0.0%)
20 to 34 years	6 (100.0%)	0 (0.0%)
35 to 50 years	10 (100.0%)	0 (0.0%)
Total	16 (100.0%)	0 (0.0%)

Fertility by Education in Zip Code 01719

Female Fertility by Education Attainment in Zip Code 01719

Educational Attainment	Women with Births	Births / 1,000 Women
Less than High School	0 (0.0%)	0.0
High School Diploma	0 (0.0%)	0.0
College or Associate's Degree	0 (0.0%)	0.0
Bachelor's Degree	16 (100.0%)	52.0
Graduate Degree	0 (0.0%)	0.0
Total	16 (100.0%)	11.0

Fertility by Education by Marriage Status in Zip Code 01719

Educational Attainment	Married	Unmarried
Less than High School	0 (0.0%)	0 (0.0%)
High School Diploma	0 (0.0%)	0 (0.0%)
College or Associate's Degree	0 (0.0%)	0 (0.0%)
Bachelor's Degree	16 (100.0%)	0 (0.0%)
Graduate Degree	0 (0.0%)	0 (0.0%)
Total	16 (100.0%)	0 (0.0%)

Employment Characteristics in Zip Code 01719

Employment by Class of Employer in Zip Code 01719

Among the 3,117 employed individuals in Zip Code 01719, private company employees (2,305 | 74.0%), not-for-profit organizations (346 | 11.1%), and local government employees (161 | 5.2%) make up the most common classes of employment.

Employer Class	# Employees	% Employees
Private Company Employees	2,305	74.0%
Self-Employed (Incorporated)	43	1.4%
Self-Employed (Not Incorporated)	121	3.9%
Not-for-profit Organizations	346	11.1%
Local Government Employees	161	5.2%
State Government Employees	112	3.6%
Federal Government Employees	29	0.9%
Unpaid Family Workers	0	0.0%
Total	3,117	100.0%

Employment Status by Age in Zip Code 01719

According to the labor force statistics for Zip Code 01719, out of the total population over 16 years of age (4,554), 73.5% or 3,347 individuals are in the labor force, with 5.4% or 181 of them unemployed. The age group with the highest labor force participation rate is 25 to 29 years, with 96.3% or 231 individuals in the labor force. Within the labor force, the 55 to 59 years age range has the highest percentage of unemployed individuals, with 20.1% or 127 of them being unemployed.

Age Bracket	In Labor Force	Unemployed
16 to 19 Years	191 (42.8%)	0 (0.0%)
20 to 24 Years	328 (77.0%)	25 (7.6%)
25 to 29 Years	231 (96.3%)	0 (0.0%)
30 to 34 Years	214 (92.2%)	9 (4.2%)
35 to 44 Years	669 (92.4%)	5 (0.8%)
45 to 54 Years	606 (82.2%)	7 (1.2%)
55 to 59 Years	631 (86.0%)	127 (20.1%)
60 to 64 Years	283 (82.7%)	8 (2.8%)
65 to 74 Years	194 (43.8%)	0 (0.0%)
75 Years and over	0 (0.0%)	0 (0.0%)
Total	3,347 (73.5%)	181 (5.4%)

Employment Status by Educational Attainment in Zip Code 01719

According to labor force statistics for Zip Code 01719, 87.5% of individuals (2,633) out of the total population between 25 and 64 years of age (3,009) are in the labor force, with 6.0% or 158 of them being unemployed. The group with the highest labor force participation rate are those with the educational attainment of high school diploma, with 100.0% or 138 individuals in the labor force. Within the labor force, individuals with bachelor's degree or higher education have the highest percentage of unemployment, with 7.0% or 148 of them being unemployed.

Educational Attainment	In Labor Force	Unemployed
Less than High School	28 (87.5%)	0 (0.0%)
High School Diploma	138 (100.0%)	9 (6.5%)
College / Associate Degree	359 (95.0%)	0 (0.0%)
Bachelor's Degree or higher	2,109 (85.7%)	172 (7.0%)
Total	2,633 (87.5%)	181 (6.0%)

Employment Occupations by Sex in Zip Code 01719

Management, Business, Science and Arts Occupations

The most common Management, Business, Science and Arts occupations in Zip Code 01719 are Computers, Engineering & Science (802 | 25.5%), Management (526 | 16.8%), Community & Social Service (399 | 12.7%), Computers & Mathematics (310 | 9.9%), and Architecture & Engineering (286 | 9.1%).

Management, Business, Science and Arts Occupations by Sex

Within the Management, Business, Science and Arts occupations in Zip Code 01719, the most male-oriented occupations are Architecture & Engineering (89.9%), Education, Arts & Media (86.2%), and Computers & Mathematics (83.9%), while the most female-oriented occupations are Education Instruction & Library (95.6%), Community & Social Service (63.4%), and Arts, Media & Entertainment (60.2%).

Occupation	Male	Female
Management	370 (70.3%)	156 (29.7%)
Business & Financial	47 (43.9%)	60 (56.1%)
Computers, Engineering & Science	625 (77.9%)	177 (22.1%)
Computers & Mathematics	260 (83.9%)	50 (16.1%)
Architecture & Engineering	257 (89.9%)	29 (10.1%)
Life, Physical & Social Science	108 (52.4%)	98 (47.6%)
Community & Social Service	146 (36.6%)	253 (63.4%)
Education, Arts & Media	75 (86.2%)	12 (13.8%)
Legal Services & Support	21 (45.7%)	25 (54.3%)
Education Instruction & Library	7 (4.4%)	151 (95.6%)
Arts, Media & Entertainment	43 (39.8%)	65 (60.2%)
Health Diagnosing & Treating	94 (41.8%)	131 (58.2%)
Health Technologists	94 (43.5%)	122 (56.5%)
Total (Category)	1,282 (62.3%)	777 (37.7%)
Total (Overall)	1,645 (52.4%)	1,496 (47.6%)

Services Occupations

The most common Services occupations in Zip Code 01719 are Personal Care & Service (161 | 5.1%), Food Preparation & Serving (69 | 2.2%), Healthcare Support (38 | 1.2%), Security & Protection (28 | 0.9%), and Firefighting & Prevention (28 | 0.9%).

Services Occupations by Sex

Within the Services occupations in Zip Code 01719, the most male-oriented occupations are Security & Protection (100.0%), Firefighting & Prevention (100.0%), and Food Preparation & Serving (65.2%), while the most female-oriented occupations are Healthcare Support (100.0%), Personal Care & Service (100.0%), and Cleaning & Maintenance (69.2%).

Occupation	Male	Female
Healthcare Support	0 (0.0%)	38 (100.0%)
Security & Protection	28 (100.0%)	0 (0.0%)
Firefighting & Prevention	28 (100.0%)	0 (0.0%)
Law Enforcement	0 (0.0%)	0 (0.0%)
Food Preparation & Serving	45 (65.2%)	24 (34.8%)
Cleaning & Maintenance	8 (30.8%)	18 (69.2%)
Personal Care & Service	0 (0.0%)	161 (100.0%)
Total (Category)	81 (25.2%)	241 (74.8%)
Total (Overall)	1,645 (52.4%)	1,496 (47.6%)

Sales and Office Occupations

The most common Sales and Office occupations in Zip Code 01719 are Sales & Related (248 | 7.9%), and Office & Administration (228 | 7.3%).

Sales and Office Occupations by Sex

Occupation	Male	Female
Sales & Related	83 (33.5%)	165 (66.5%)
Office & Administration	47 (20.6%)	181 (79.4%)
Total (Category)	130 (27.3%)	346 (72.7%)
Total (Overall)	1,645 (52.4%)	1,496 (47.6%)

Natural Resources, Construction and Maintenance Occupations

The most common Natural Resources, Construction and Maintenance occupations in Zip Code 01719 are Installation, Maintenance & Repair (47 | 1.5%), Construction & Extraction (30 | 1.0%), and Farming, Fishing & Forestry (19 | 0.6%).

Natural Resources, Construction and Maintenance Occupations by Sex

Occupation	Male	Female
Farming, Fishing & Forestry	19 (100.0%)	0 (0.0%)
Construction & Extraction	30 (100.0%)	0 (0.0%)
Installation, Maintenance & Repair	47 (100.0%)	0 (0.0%)
Total (Category)	96 (100.0%)	0 (0.0%)
Total (Overall)	1,645 (52.4%)	1,496 (47.6%)

Production, Transportation and Moving Occupations

The most common Production, Transportation and Moving occupations in Zip Code 01719 are Production (95 | 3.0%), Transportation (54 | 1.7%), and Material Moving (39 | 1.2%).

Production, Transportation and Moving Occupations by Sex

Occupation	Male	Female
Production	4 (4.2%)	91 (95.8%)
Transportation	43 (79.6%)	11 (20.4%)
Material Moving	9 (23.1%)	30 (76.9%)
Total (Category)	56 (29.8%)	132 (70.2%)
Total (Overall)	1,645 (52.4%)	1,496 (47.6%)

Employment Industries by Sex in Zip Code 01719

Employment Industries in Zip Code 01719

The major employment industries in Zip Code 01719 include Professional & Scientific (692 | 22.0%), Health Care & Social Assistance (499 | 15.9%), Manufacturing (404 | 12.9%), Retail Trade (343 | 10.9%), and Educational Services (342 | 10.9%).

Employment Industries by Sex in Zip Code 01719

The Zip Code 01719 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 Utilities (100.0%), Retail Trade (95.3%), and Educational Services (75.7%).

Industry	Male	Female
Agriculture, Fishing & Hunting	19 (100.0%)	0 (0.0%)
Mining, Quarrying, & Extraction	23 (100.0%)	0 (0.0%)
Construction	25 (100.0%)	0 (0.0%)
Manufacturing	331 (81.9%)	73 (18.1%)
Wholesale Trade	152 (91.0%)	15 (9.0%)
Retail Trade	16 (4.7%)	327 (95.3%)
Transportation & Warehousing	44 (81.5%)	10 (18.5%)
Utilities	0 (0.0%)	6 (100.0%)
Information	145 (88.4%)	19 (11.6%)
Finance & Insurance	49 (89.1%)	6 (10.9%)
Real Estate, Rental & Leasing	12 (37.5%)	20 (62.5%)
Professional & Scientific	397 (57.4%)	295 (42.6%)
Enterprise Management	0 (0.0%)	0 (0.0%)
Administrative & Support	44 (48.3%)	47 (51.6%)
Educational Services	83 (24.3%)	259 (75.7%)
Health Care & Social Assistance	195 (39.1%)	304 (60.9%)
Arts, Entertainment & Recreation	55 (80.9%)	13 (19.1%)
Accommodation & Food Services	34 (42.5%)	46 (57.5%)
Public Administration	21 (47.7%)	23 (52.3%)
Total	1,645 (52.4%)	1,496 (47.6%)

Education in Zip Code 01719

School Enrollment in Zip Code 01719

The most common levels of schooling among the 1,365 students in Zip Code 01719 are middle school (334 | 24.5%), college / undergraduate (307 | 22.5%), and high school (290 | 21.2%).

School Level	# Students	% Students
Nursery / Preschool	42	3.1%
Kindergarten	92	6.7%
Elementary School	252	18.5%
Middle School	334	24.5%
High School	290	21.2%
College / Undergraduate	307	22.5%
Graduate / Professional	48	3.5%
Total	1,365	100.0%

School Enrollment by Age by Funding Source in Zip Code 01719

Out of a total of 1,365 students who are enrolled in schools in Zip Code 01719, 229 (16.8%) attend a private institution, while the remaining 1,136 (83.2%) are enrolled in public schools. The age group of 20 to 24 year olds has the highest likelihood of being enrolled in private schools, with 46 (76.7% 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 259 (100.0% in the age bracket) attending a public institution.

Age Bracket	Public School	Private School
3 to 4 Year Olds	3 (37.5%)	5 (62.5%)
5 to 9 Year Old	302 (79.9%)	76 (20.1%)
10 to 14 Year Olds	320 (91.2%)	31 (8.8%)
15 to 17 Year Olds	259 (100.0%)	0 (0.0%)
18 to 19 Year Olds	184 (82.9%)	38 (17.1%)
20 to 24 Year Olds	14 (23.3%)	46 (76.7%)
25 to 34 Year Olds	14 (100.0%)	0 (0.0%)
35 Years and over	39 (53.4%)	34 (46.6%)
Total	1,136 (83.2%)	229 (16.8%)

Educational Attainment by Field of Study in Zip Code 01719

Engineering (533 | 17.3%), science & technology (359 | 11.6%), computers & mathematics (343 | 11.1%), business (298 | 9.7%), and bio, nature & agricultural (253 | 8.2%) are the most common fields of study among 3,085 individuals in Zip Code 01719 who have obtained a bachelor's degree or higher.

Field of Study	# Graduates	% Graduates
Computers & Mathematics	343	11.1%
Bio, Nature & Agricultural	253	8.2%
Physical & Health Sciences	180	5.8%
Psychology	166	5.4%
Social Sciences	164	5.3%
Engineering	533	17.3%
Multidisciplinary Studies	51	1.7%
Science & Technology	359	11.6%
Business	298	9.7%
Education	199	6.5%
Literature & Languages	137	4.4%
Liberal Arts & History	89	2.9%
Visual & Performing Arts	187	6.1%
Communications	83	2.7%
Arts & Humanities	43	1.4%
Total	3,085	100.0%

Transportation & Commute in Zip Code 01719

Vehicle Availability by Sex in Zip Code 01719

The most prevalent vehicle ownership categories in Zip Code 01719 are males with 2 vehicles (828, accounting for 51.1%) and females with 2 vehicles (714, making up 55.3%).

Vehicles Available	Male	Female
No Vehicle	75 (4.6%)	0 (0.0%)
1 Vehicle	204 (12.6%)	209 (14.0%)
2 Vehicles	828 (51.1%)	714 (47.7%)
3 Vehicles	514 (31.7%)	573 (38.3%)
4 Vehicles	0 (0.0%)	0 (0.0%)
5 or more Vehicles	0 (0.0%)	0 (0.0%)
Total	1,621 (100.0%)	1,496 (100.0%)

Commute Time in Zip Code 01719

The most frequently occuring commute durations in Zip Code 01719 are 20 to 24 minutes (605 commuters, 22.1%), 45 to 59 minutes (354 commuters, 12.9%), and 30 to 34 minutes (335 commuters, 12.2%).

Commute Time	# Commuters	% Commuters
Less than 5 Minutes	65	2.4%
5 to 9 Minutes	121	4.4%
10 to 14 Minutes	313	11.4%
15 to 19 Minutes	226	8.3%
20 to 24 Minutes	605	22.1%
25 to 29 Minutes	68	2.5%
30 to 34 Minutes	335	12.2%
35 to 39 Minutes	190	6.9%
40 to 44 Minutes	138	5.0%
45 to 59 Minutes	354	12.9%
60 to 89 Minutes	224	8.2%
90 or more Minutes	102	3.7%

Commute Time by Sex in Zip Code 01719

The most common commute times in Zip Code 01719 are 45 to 59 minutes (203 commuters, 14.2%) for males and 20 to 24 minutes (406 commuters, 30.9%) for females.

Commute Time	Male	Female
Less than 5 Minutes	39 (2.7%)	26 (2.0%)
5 to 9 Minutes	98 (6.9%)	23 (1.8%)
10 to 14 Minutes	152 (10.7%)	161 (12.2%)
15 to 19 Minutes	190 (13.3%)	36 (2.7%)
20 to 24 Minutes	199 (14.0%)	406 (30.9%)
25 to 29 Minutes	49 (3.4%)	19 (1.4%)
30 to 34 Minutes	119 (8.4%)	216 (16.4%)
35 to 39 Minutes	162 (11.4%)	28 (2.1%)
40 to 44 Minutes	31 (2.2%)	107 (8.1%)
45 to 59 Minutes	203 (14.2%)	151 (11.5%)
60 to 89 Minutes	110 (7.7%)	114 (8.7%)
90 or more Minutes	74 (5.2%)	28 (2.1%)

Time of Departure to Work by Sex in Zip Code 01719

The most frequent times of departure to work in Zip Code 01719 are 8:00 AM to 8:29 AM (496, 34.8%) for males and 7:30 AM to 7:59 AM (254, 19.3%) for females.

Time of Departure	Male	Female
12:00 AM to 4:59 AM	0 (0.0%)	10 (0.8%)
5:00 AM to 5:29 AM	14 (1.0%)	0 (0.0%)
5:30 AM to 5:59 AM	5 (0.4%)	18 (1.4%)
6:00 AM to 6:29 AM	96 (6.7%)	150 (11.4%)
6:30 AM to 6:59 AM	265 (18.6%)	38 (2.9%)
7:00 AM to 7:29 AM	136 (9.5%)	215 (16.4%)
7:30 AM to 7:59 AM	104 (7.3%)	254 (19.3%)
8:00 AM to 8:29 AM	496 (34.8%)	223 (17.0%)
8:30 AM to 8:59 AM	100 (7.0%)	96 (7.3%)
9:00 AM to 9:59 AM	98 (6.9%)	201 (15.3%)
10:00 AM to 10:59 AM	27 (1.9%)	22 (1.7%)
11:00 AM to 11:59 AM	0 (0.0%)	0 (0.0%)
12:00 PM to 3:59 PM	49 (3.4%)	70 (5.3%)
4:00 PM to 11:59 PM	36 (2.5%)	18 (1.4%)
Total	1,426 (100.0%)	1,315 (100.0%)

Housing Occupancy in Zip Code 01719

Occupancy by Ownership in Zip Code 01719

Of the total 2,166 dwellings in Zip Code 01719, owner-occupied units account for 1,603 (74.0%), while renter-occupied units make up 563 (26.0%).

Occupancy	# Housing Units	% Housing Units
Owner Occupied Housing Units	1,603	74.0%
Renter-Occupied Housing Units	563	26.0%
Total Occupied Housing Units	2,166	100.0%

Occupancy by Household Size in Zip Code 01719

Household Size	# Housing Units	% Housing Units
1-Person Household	526	24.3%
2-Person Household	728	33.6%
3-Person Household	359	16.6%
4+ Person Household	553	25.5%
Total Housing Units	2,166	100.0%

Occupancy by Ownership by Household Size in Zip Code 01719

Household Size	Owner-occupied	Renter-occupied
1-Person Household	330 (62.7%)	196 (37.3%)
2-Person Household	434 (59.6%)	294 (40.4%)
3-Person Household	300 (83.6%)	59 (16.4%)
4+ Person Household	539 (97.5%)	14 (2.5%)
Total Housing Units	1,603 (74.0%)	563 (26.0%)

Occupancy by Educational Attainment in Zip Code 01719

Household Size	Owner-occupied	Renter-occupied
Less than High School	75 (100.0%)	0 (0.0%)
High School Diploma	107 (72.8%)	40 (27.2%)
College/Associate Degree	120 (39.1%)	187 (60.9%)
Bachelor's Degree or higher	1,301 (79.5%)	336 (20.5%)

Occupancy by Age of Householder in Zip Code 01719

Age Bracket	# Households	% Households
Under 35 Years	323	14.9%
35 to 44 Years	404	18.6%
45 to 54 Years	419	19.3%
55 to 64 Years	562	26.0%
65 to 74 Years	315	14.5%
75 to 84 Years	121	5.6%
85 Years and Over	22	1.0%
Total	2,166	100.0%

Housing Finances in Zip Code 01719

Median Income by Occupancy in Zip Code 01719

Occupancy Type	# Households	Median Income
Owner-Occupied	1,603 (74.0%)	$205,509
Renter-Occupied	563 (26.0%)	$57,891
Average	2,166 (100.0%)	$151,207

Occupancy by Householder Income Bracket in Zip Code 01719

Income Bracket	Owner-occupied	Renter-occupied
Less than $5,000	8 (0.5%)	58 (10.3%)
$5,000 to $9,999	0 (0.0%)	8 (1.4%)
$10,000 to $14,999	0 (0.0%)	0 (0.0%)
$15,000 to $19,999	30 (1.9%)	0 (0.0%)
$20,000 to $24,999	0 (0.0%)	61 (10.8%)
$25,000 to $34,999	34 (2.1%)	0 (0.0%)
$35,000 to $49,999	35 (2.2%)	126 (22.4%)
$50,000 to $74,999	110 (6.9%)	62 (11.0%)
$75,000 to $99,999	147 (9.2%)	40 (7.1%)
$100,000 to $149,999	194 (12.1%)	156 (27.7%)
$150,000 or more	1,045 (65.2%)	52 (9.2%)
Total	1,603 (100.0%)	563 (100.0%)

Monthly Housing Cost Tiers in Zip Code 01719

Monthly Cost	Owner-occupied	Renter-occupied
Less than $300	5 (0.3%)	0 (0.0%)
$300 to $499	24 (1.5%)	0 (0.0%)
$500 to $799	84 (5.2%)	30 (5.3%)
$800 to $999	64 (4.0%)	6 (1.1%)
$1,000 to $1,499	358 (22.3%)	167 (29.7%)
$1,500 to $1,999	128 (8.0%)	165 (29.3%)
$2,000 to $2,499	56 (3.5%)	72 (12.8%)
$2,500 to $2,999	173 (10.8%)	54 (9.6%)
$3,000 or more	711 (44.4%)	61 (10.8%)
Total	1,603 (100.0%)	563 (100.0%)

Physical Housing Characteristics in Zip Code 01719

Housing Structures in Zip Code 01719

Structure Type	# Housing Units	% Housing Units
Single Unit, Detached	1,375	63.5%
Single Unit, Attached	101	4.7%
2 Unit Apartments	12	0.5%
3 or 4 Unit Apartments	9	0.4%
5 to 9 Unit Apartments	59	2.7%
10 or more Apartments	610	28.2%
Mobile Home / Other	0	0.0%
Total	2,166	100.0%

Housing Structures by Occupancy in Zip Code 01719

Structure Type	Owner-occupied	Renter-occupied
Single Unit, Detached	1,355 (98.6%)	20 (1.5%)
Single Unit, Attached	89 (88.1%)	12 (11.9%)
2 Unit Apartments	0 (0.0%)	12 (100.0%)
3 or 4 Unit Apartments	9 (100.0%)	0 (0.0%)
5 to 9 Unit Apartments	12 (20.3%)	47 (79.7%)
10 or more Apartments	138 (22.6%)	472 (77.4%)
Mobile Home / Other	0 (0.0%)	0 (0.0%)
Total	1,603 (74.0%)	563 (26.0%)

Housing Structures by Number of Rooms in Zip Code 01719

Number of Rooms	Owner-occupied	Renter-occupied
1 Room	6 (0.4%)	52 (9.2%)
2 or 3 Rooms	124 (7.7%)	125 (22.2%)
4 or 5 Rooms	198 (12.3%)	271 (48.1%)
6 or 7 Rooms	341 (21.3%)	95 (16.9%)
8 or more Rooms	934 (58.3%)	20 (3.5%)
Total	1,603 (100.0%)	563 (100.0%)

Housing Structure by Heating Type in Zip Code 01719

Heating Type	Owner-occupied	Renter-occupied
Utility Gas	385 (24.0%)	189 (33.6%)
Bottled, Tank, or LP Gas	102 (6.4%)	16 (2.8%)
Electricity	270 (16.8%)	358 (63.6%)
Fuel Oil or Kerosene	809 (50.5%)	0 (0.0%)
Coal or Coke	0 (0.0%)	0 (0.0%)
All other Fuels	37 (2.3%)	0 (0.0%)
No Fuel Used	0 (0.0%)	0 (0.0%)
Total	1,603 (100.0%)	563 (100.0%)

Household Vehicle Usage in Zip Code 01719

Vehicles per Household	Owner-occupied	Renter-occupied
No Vehicle	10 (0.6%)	75 (13.3%)
1 Vehicle	257 (16.0%)	273 (48.5%)
2 Vehicles	911 (56.8%)	167 (29.7%)
3 or more Vehicles	425 (26.5%)	48 (8.5%)
Total	1,603 (100.0%)	563 (100.0%)

Real Estate & Mortgages in Zip Code 01719

Real Estate and Mortgage Overview in Zip Code 01719

Characteristic	Without Mortgage	With Mortgage
Housing Units	491	1,112
Median Property Value	$556,300	$697,000
Median Household Income	$134,018	$811
Monthly Housing Costs	$1,149	$711
Real Estate Taxes	$9,104	$0

Property Value by Mortgage Status in Zip Code 01719

Property Value	Without Mortgage	With Mortgage
Less than $50,000	28 (5.7%)	0 (0.0%)
$50,000 to $99,999	13 (2.6%)	12 (1.1%)
$100,000 to $299,999	56 (11.4%)	108 (9.7%)
$300,000 to $499,999	103 (21.0%)	83 (7.5%)
$500,000 to $749,999	202 (41.1%)	448 (40.3%)
$750,000 to $999,999	76 (15.5%)	340 (30.6%)
$1,000,000 or more	13 (2.6%)	121 (10.9%)
Total	491 (100.0%)	1,112 (100.0%)

Household Income by Mortgage Status in Zip Code 01719

Household Income	Without Mortgage	With Mortgage
Less than $10,000	8 (1.6%)	0 (0.0%)
$10,000 to $24,999	23 (4.7%)	0 (0.0%)
$25,000 to $34,999	5 (1.0%)	7 (0.6%)
$35,000 to $49,999	0 (0.0%)	29 (2.6%)
$50,000 to $74,999	63 (12.8%)	35 (3.2%)
$75,000 to $99,999	80 (16.3%)	47 (4.2%)
$100,000 to $149,999	78 (15.9%)	67 (6.0%)
$150,000 or more	234 (47.7%)	116 (10.4%)
Total	491 (100.0%)	1,112 (100.0%)

Property Value to Household Income Ratio in Zip Code 01719

Value-to-Income Ratio	Without Mortgage	With Mortgage
Less than 2.0x	131 (26.7%)	228,276 (20,528.4%)
2.0x to 2.9x	134 (27.3%)	172 (15.5%)
3.0x to 3.9x	45 (9.2%)	364 (32.7%)
4.0x or more	181 (36.9%)	233 (20.9%)
Total	491 (100.0%)	1,112 (100.0%)

Real Estate Taxes by Mortgage Status in Zip Code 01719

Property Taxes	Without Mortgage	With Mortgage
Less than $800	5 (1.0%)	0 (0.0%)
$800 to $1,499	30 (6.1%)	12 (1.1%)
$800 to $1,499	456 (92.9%)	22 (2.0%)
Total	491 (100.0%)	1,112 (100.0%)

Health & Disability in Zip Code 01719

Health Insurance Coverage by Age in Zip Code 01719

Age Bracket	With Coverage	Without Coverage
Under 6 Years	207 (100.0%)	0 (0.0%)
6 to 18 Years	1,017 (90.0%)	113 (10.0%)
19 to 25 Years	492 (100.0%)	0 (0.0%)
26 to 34 Years	397 (97.1%)	12 (2.9%)
35 to 44 Years	688 (96.5%)	25 (3.5%)
45 to 54 Years	717 (97.3%)	20 (2.7%)
55 to 64 Years	1,011 (94.0%)	65 (6.0%)
65 to 74 Years	443 (100.0%)	0 (0.0%)
75 Years and older	230 (100.0%)	0 (0.0%)
Total	5,202 (95.7%)	235 (4.3%)

Health Insurance Coverage by Citizenship Status in Zip Code 01719

Citizenship Status	With Coverage	Without Coverage
Native Born	207 (100.0%)	0 (0.0%)
Foreign Born, Citizen	1,017 (90.0%)	113 (10.0%)
Foreign Born, not a Citizen	492 (100.0%)	0 (0.0%)

Health Insurance Coverage by Household Income in Zip Code 01719

Household Income	With Coverage	Without Coverage
Under $25,000	194 (100.0%)	0 (0.0%)
$25,000 to $49,999	301 (98.4%)	5 (1.6%)
$50,000 to $74,999	177 (83.9%)	34 (16.1%)
$75,000 to $99,999	462 (100.0%)	0 (0.0%)
$100,000 and over	4,068 (95.4%)	196 (4.6%)

Public vs Private Health Insurance Coverage by Age in Zip Code 01719

Age Bracket	Public Insurance	Private Insurance
Under 6	3 (1.5%)	204 (98.6%)
6 to 18 Years	114 (10.1%)	928 (82.1%)
19 to 25 Years	28 (5.7%)	464 (94.3%)
25 to 34 Years	30 (7.3%)	384 (93.9%)
35 to 44 Years	33 (4.6%)	655 (91.9%)
45 to 54 Years	29 (3.9%)	700 (95.0%)
55 to 64 Years	29 (2.7%)	993 (92.3%)
65 to 74 Years	319 (72.0%)	365 (82.4%)
75 Years and over	230 (100.0%)	167 (72.6%)
Total	815 (15.0%)	4,860 (89.4%)

Disability Status by Sex by Age in Zip Code 01719

Age Bracket	Male	Female
Under 5 Years	0 (0.0%)	0 (0.0%)
5 to 17 Years	29 (5.8%)	0 (0.0%)
18 to 34 Years	7 (2.0%)	33 (4.3%)
35 to 64 Years	5 (0.4%)	22 (1.7%)
65 to 74 Years	29 (11.3%)	19 (10.2%)
75 Years and over	10 (12.0%)	37 (25.2%)

Disability Class by Sex by Age in Zip Code 01719

Disability Class: Hearing Difficulty

Disability in Zip Code 01719: <span>Hearing Difficulty</span>

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	5 (0.4%)	7 (0.5%)
65 to 74 Years	29 (11.3%)	19 (10.2%)
75 Years and over	10 (12.0%)	15 (10.2%)

Disability Class: Vision Difficulty

Disability in Zip Code 01719: <span>Vision Difficulty</span>

Age Bracket	Male	Female
Under 5 Years	0 (0.0%)	0 (0.0%)
5 to 17 Years	0 (0.0%)	0 (0.0%)
18 to 34 Years	0 (0.0%)	0 (0.0%)
35 to 64 Years	0 (0.0%)	0 (0.0%)
65 to 74 Years	0 (0.0%)	0 (0.0%)
75 Years and over	0 (0.0%)	0 (0.0%)

Disability Class: Cognitive Difficulty

Disability in Zip Code 01719: <span>Cognitive Difficulty</span>

Age Bracket	Male	Female
5 to 17 Years	29 (5.8%)	0 (0.0%)
18 to 34 Years	0 (0.0%)	33 (4.3%)
35 to 64 Years	0 (0.0%)	0 (0.0%)
65 to 74 Years	19 (7.4%)	0 (0.0%)
75 Years and over	10 (12.0%)	12 (8.2%)

Disability Class: Ambulatory Difficulty

Disability in Zip Code 01719: <span>Ambulatory Difficulty</span>

Age Bracket	Male	Female
5 to 17 Years	0 (0.0%)	0 (0.0%)
18 to 34 Years	7 (2.0%)	0 (0.0%)
35 to 64 Years	0 (0.0%)	15 (1.2%)
65 to 74 Years	19 (7.4%)	0 (0.0%)
75 Years and over	10 (12.0%)	37 (25.2%)

Disability Class: Self-Care Difficulty

Disability in Zip Code 01719: <span>Self-Care Difficulty</span>

Age Bracket	Male	Female
5 to 17 Years	0 (0.0%)	0 (0.0%)
18 to 34 Years	0 (0.0%)	0 (0.0%)
35 to 64 Years	0 (0.0%)	11 (0.9%)
65 to 74 Years	19 (7.4%)	0 (0.0%)
75 Years and over	0 (0.0%)	0 (0.0%)

Technology Access in Zip Code 01719

Computing Device Access in Zip Code 01719

Device Type	# Households	% Households
Desktop or Laptop	2,019	93.2%
Smartphone	2,092	96.6%
Tablet	1,511	69.8%
No Computing Device	25	1.1%
Total	2,166	100.0%

Internet Access in Zip Code 01719

Internet Type	# Households	% Households
Dial-Up Internet	0	0.0%
Broadband Home	1,944	89.7%
Cellular Data Only	184	8.5%
Satellite Internet	0	0.0%
No Internet	38	1.8%
Total	2,166	100.0%

Common Questions

What is Per Capita Income in Zip Code 01719?

Per Capita income in Zip Code 01719 is $73,508.

What is the Median Family Income in Zip Code 01719?

Median Family Income in Zip Code 01719 is $224,567.

What is the Median Household income in Zip Code 01719?

Median Household Income in Zip Code 01719 is $151,207.

What is Income or Wage Gap in Zip Code 01719?

Income or Wage Gap in Zip Code 01719 is 70.8%.

Women in Zip Code 01719 earn 29.2 cents for every dollar earned by a man.

What is Inequality or Gini Index in Zip Code 01719?

Inequality or Gini Index in Zip Code 01719 is 0.41.

What is the Total Population of Zip Code 01719?

Total Population of Zip Code 01719 is 5,462.

What is the Total Male Population of Zip Code 01719?

Total Male Population of Zip Code 01719 is 2,562.

What is the Total Female Population of Zip Code 01719?

Total Female Population of Zip Code 01719 is 2,900.

What is the Ratio of Males per 100 Females in Zip Code 01719?

There are 88.34 Males per 100 Females in Zip Code 01719.

What is the Ratio of Females per 100 Males in Zip Code 01719?

There are 113.19 Females per 100 Males in Zip Code 01719.

What is the Median Population Age in Zip Code 01719?

Median Population Age in Zip Code 01719 is 41.8 Years.

What is the Average Family Size in Zip Code 01719

Average Family Size in Zip Code 01719 is 3.1 People.

What is the Average Household Size in Zip Code 01719

Average Household Size in Zip Code 01719 is 2.5 People.

How Large is the Labor Force in Zip Code 01719?

There are 3,347 People in the Labor Forcein in Zip Code 01719.

What is the Percentage of People in the Labor Force in Zip Code 01719?

73.5% of People are in the Labor Force in Zip Code 01719.

What is the Unemployment Rate in Zip Code 01719?

Unemployment Rate in Zip Code 01719 is 5.4%.