Zip Code 01746
Zip Code 01746 Map
Zip Code 01746 Overview
14,902
TOTAL POPULATION
7,693
MALE POPULATION
7,209
FEMALE POPULATION
106.71
MALES / 100 FEMALES
93.71
FEMALES / 100 MALES
45.1
MEDIAN AGE
3.0
AVG FAMILY SIZE
2.7
AVG HOUSEHOLD SIZE
$71,055
PER CAPITA INCOME
$174,092
AVG FAMILY INCOME
$149,614
AVG HOUSEHOLD INCOME
52.1%
WAGE / INCOME GAP [ % ]
47.9¢/ $1
WAGE / INCOME GAP [ $ ]
0.43
INEQUALITY / GINI INDEX
8,694
LABOR FORCE [ PEOPLE ]
72.3%
PERCENT IN LABOR FORCE
4.7%
UNEMPLOYMENT RATE
Race in Zip Code 01746
The most populous races in Zip Code 01746 are White / Caucasian (13,005 | 87.3%), Asian (810 | 5.4%), and Two or more Races (688 | 4.6%).
| Race | # Population | % Population |
| Asian | 810 | 5.4% |
| Black / African American | 86 | 0.6% |
| Hawaiian / Pacific | 0 | 0.0% |
| Hispanic or Latino | 639 | 4.3% |
| Native / Alaskan | 0 | 0.0% |
| White / Caucasian | 13,005 | 87.3% |
| Two or more Races | 688 | 4.6% |
| Some other Race | 313 | 2.1% |
| Total | 14,902 | 100.0% |
Ancestry in Zip Code 01746
The most populous ancestries reported in Zip Code 01746 are Irish (3,533 | 23.7%), Italian (2,335 | 15.7%), English (2,230 | 15.0%), German (1,014 | 6.8%), and American (844 | 5.7%), together accounting for 66.8% of all Zip Code 01746 residents.
| Ancestry | # Population | % Population |
| Albanian | 18 | 0.1% |
| American | 844 | 5.7% |
| Arab | 90 | 0.6% |
| Armenian | 91 | 0.6% |
| Australian | 12 | 0.1% |
| Austrian | 24 | 0.2% |
| Belgian | 21 | 0.1% |
| Bhutanese | 23 | 0.2% |
| Brazilian | 30 | 0.2% |
| British | 82 | 0.5% |
| Burmese | 11 | 0.1% |
| Canadian | 129 | 0.9% |
| Central American | 78 | 0.5% |
| Central American Indian | 16 | 0.1% |
| Colombian | 4 | 0.0% |
| Cuban | 21 | 0.1% |
| Czech | 35 | 0.2% |
| Czechoslovakian | 5 | 0.0% |
| Danish | 7 | 0.1% |
| Dominican | 53 | 0.4% |
| Dutch | 177 | 1.2% |
| Eastern European | 191 | 1.3% |
| Ecuadorian | 29 | 0.2% |
| English | 2,230 | 15.0% |
| Estonian | 33 | 0.2% |
| European | 210 | 1.4% |
| Finnish | 79 | 0.5% |
| French | 786 | 5.3% |
| French Canadian | 353 | 2.4% |
| German | 1,014 | 6.8% |
| Greek | 103 | 0.7% |
| Guatemalan | 9 | 0.1% |
| Haitian | 5 | 0.0% |
| Hungarian | 22 | 0.2% |
| Indian (Asian) | 92 | 0.6% |
| Iranian | 5 | 0.0% |
| Irish | 3,533 | 23.7% |
| Israeli | 156 | 1.1% |
| Italian | 2,335 | 15.7% |
| Jamaican | 17 | 0.1% |
| Japanese | 12 | 0.1% |
| Korean | 8 | 0.1% |
| Latvian | 118 | 0.8% |
| Lebanese | 90 | 0.6% |
| Lithuanian | 77 | 0.5% |
| Mexican | 97 | 0.6% |
| Mexican American Indian | 14 | 0.1% |
| Northern European | 65 | 0.4% |
| Norwegian | 98 | 0.7% |
| Polish | 813 | 5.5% |
| Portuguese | 264 | 1.8% |
| Puerto Rican | 282 | 1.9% |
| Romanian | 60 | 0.4% |
| Russian | 466 | 3.1% |
| Salvadoran | 69 | 0.5% |
| Scandinavian | 9 | 0.1% |
| Scotch-Irish | 197 | 1.3% |
| Scottish | 478 | 3.2% |
| Slovak | 44 | 0.3% |
| South American | 33 | 0.2% |
| Spaniard | 54 | 0.4% |
| Swedish | 166 | 1.1% |
| Swiss | 19 | 0.1% |
| Thai | 524 | 3.5% |
| Ukrainian | 125 | 0.8% |
| Welsh | 53 | 0.4% | View All 66 Rows |
Immigrants in Zip Code 01746
The most numerous immigrant groups reported in Zip Code 01746 came from Asia (638 | 4.3%), Europe (435 | 2.9%), South Central Asia (418 | 2.8%), Latin America (290 | 1.9%), and India (267 | 1.8%), together accounting for 13.7% of all Zip Code 01746 residents.
| Immigration Origin | # Population | % Population |
| Asia | 638 | 4.3% |
| Australia | 28 | 0.2% |
| Belgium | 31 | 0.2% |
| Brazil | 193 | 1.3% |
| Cambodia | 12 | 0.1% |
| Canada | 76 | 0.5% |
| Caribbean | 15 | 0.1% |
| Central America | 64 | 0.4% |
| China | 27 | 0.2% |
| Dominican Republic | 10 | 0.1% |
| Eastern Asia | 27 | 0.2% |
| Eastern Europe | 213 | 1.4% |
| Ecuador | 18 | 0.1% |
| El Salvador | 64 | 0.4% |
| England | 68 | 0.5% |
| Europe | 435 | 2.9% |
| France | 7 | 0.1% |
| Germany | 12 | 0.1% |
| Haiti | 5 | 0.0% |
| Hungary | 14 | 0.1% |
| India | 267 | 1.8% |
| Iran | 5 | 0.0% |
| Ireland | 21 | 0.1% |
| Israel | 165 | 1.1% |
| Italy | 32 | 0.2% |
| Latin America | 290 | 1.9% |
| Latvia | 11 | 0.1% |
| Lebanon | 16 | 0.1% |
| Moldova | 81 | 0.5% |
| Northern Europe | 140 | 0.9% |
| Oceania | 28 | 0.2% |
| Pakistan | 109 | 0.7% |
| Romania | 14 | 0.1% |
| Russia | 45 | 0.3% |
| Scotland | 22 | 0.2% |
| South America | 211 | 1.4% |
| South Central Asia | 418 | 2.8% |
| South Eastern Asia | 12 | 0.1% |
| Southern Europe | 32 | 0.2% |
| Sri Lanka | 37 | 0.3% |
| Taiwan | 5 | 0.0% |
| Western Asia | 181 | 1.2% |
| Western Europe | 50 | 0.3% | View All 43 Rows |
Sex and Age in Zip Code 01746
Sex and Age in Zip Code 01746
The most populous age groups in Zip Code 01746 are 45 to 49 Years (738 | 9.6%) for men and 45 to 49 Years (728 | 10.1%) for women.
| Age Bracket | Male | Female |
| Under 5 Years | 274 (3.6%) | 293 (4.1%) |
| 5 to 9 Years | 551 (7.2%) | 458 (6.4%) |
| 10 to 14 Years | 629 (8.2%) | 421 (5.8%) |
| 15 to 19 Years | 470 (6.1%) | 518 (7.2%) |
| 20 to 24 Years | 458 (5.9%) | 342 (4.7%) |
| 25 to 29 Years | 293 (3.8%) | 219 (3.0%) |
| 30 to 34 Years | 331 (4.3%) | 274 (3.8%) |
| 35 to 39 Years | 604 (7.9%) | 451 (6.3%) |
| 40 to 44 Years | 441 (5.7%) | 398 (5.5%) |
| 45 to 49 Years | 738 (9.6%) | 728 (10.1%) |
| 50 to 54 Years | 492 (6.4%) | 399 (5.5%) |
| 55 to 59 Years | 613 (8.0%) | 650 (9.0%) |
| 60 to 64 Years | 591 (7.7%) | 634 (8.8%) |
| 65 to 69 Years | 505 (6.6%) | 518 (7.2%) |
| 70 to 74 Years | 314 (4.1%) | 323 (4.5%) |
| 75 to 79 Years | 252 (3.3%) | 258 (3.6%) |
| 80 to 84 Years | 123 (1.6%) | 204 (2.8%) |
| 85 Years and over | 14 (0.2%) | 121 (1.7%) |
| Total | 7,693 (100.0%) | 7,209 (100.0%) |
Families and Households in Zip Code 01746
Median Family Size in Zip Code 01746
The median family size in Zip Code 01746 is 3.02 persons per family, with married-couple families (3,626 | 82.4%) accounting for the largest median family size of 3.17 persons per family. On the other hand, single male/father families (186 | 4.2%) represent the smallest median family size with 2.18 persons per family.
| Family Type | # Families | Family Size |
| Married-Couple | 3,626 (82.4%) | 3.17 |
| Single Male/Father | 186 (4.2%) | 2.18 |
| Single Female/Mother | 589 (13.4%) | 2.34 |
| Total Families | 4,401 (100.0%) | 3.02 |
Median Household Size in Zip Code 01746
The median household size in Zip Code 01746 is 2.67 persons per household, with married-couple households (3,626 | 65.2%) accounting for the largest median household size of 3.18 persons per household. non-family households (1,161 | 20.9%) represent the smallest median household size with 1.17 persons per household.
| Household Type | # Households | Household Size |
| Married-Couple | 3,626 (65.2%) | 3.18 |
| Single Male/Father | 186 (3.3%) | 2.25 |
| Single Female/Mother | 589 (10.6%) | 2.56 |
| Non-family | 1,161 (20.9%) | 1.17 |
| Total Households | 5,562 (100.0%) | 2.67 |
Household Size by Marriage Status in Zip Code 01746
Out of a total of 5,562 households in Zip Code 01746, 4,401 (79.1%) are family households, while 1,161 (20.9%) are nonfamily households. The most numerous type of family households are 2-person households, comprising 1,892, and the most common type of nonfamily households are 1-person households, comprising 971.
| Household Size | Family Households | Nonfamily Households |
| 1-Person Households | - | 971 (17.5%) |
| 2-Person Households | 1,892 (34.0%) | 175 (3.2%) |
| 3-Person Households | 1,059 (19.0%) | 15 (0.3%) |
| 4-Person Households | 949 (17.1%) | 0 (0.0%) |
| 5-Person Households | 386 (6.9%) | 0 (0.0%) |
| 6-Person Households | 41 (0.7%) | 0 (0.0%) |
| 7+ Person Households | 74 (1.3%) | 0 (0.0%) |
| Total | 4,401 (79.1%) | 1,161 (20.9%) |
Female Fertility in Zip Code 01746
Fertility by Age in Zip Code 01746
Average fertility rate in Zip Code 01746 is 26.0 births per 1,000 women. Women in the age bracket of 20 to 34 years have the highest fertility rate with 54.0 births per 1,000 women. Women in the age bracket of 20 to 34 years acount for 56.2% 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 | 45 (56.2%) | 54.0 |
| 35 to 50 years | 35 (43.8%) | 21.0 |
| Total | 80 (100.0%) | 26.0 |
Fertility by Age by Marriage Status in Zip Code 01746
| Age Bracket | Married | Unmarried |
| 15 to 19 years | 0 (0.0%) | 0 (0.0%) |
| 20 to 34 years | 45 (100.0%) | 0 (0.0%) |
| 35 to 50 years | 35 (100.0%) | 0 (0.0%) |
| Total | 80 (100.0%) | 0 (0.0%) |
Fertility by Education in Zip Code 01746
| 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 | 11 (13.8%) | 10.0 |
| Graduate Degree | 69 (86.3%) | 99.0 |
| Total | 80 (100.0%) | 26.0 |
Fertility by Education by Marriage Status in Zip Code 01746
| 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 | 11 (100.0%) | 0 (0.0%) |
| Graduate Degree | 69 (100.0%) | 0 (0.0%) |
| Total | 80 (100.0%) | 0 (0.0%) |
Income in Zip Code 01746
Income Overview in Zip Code 01746
Per Capita Income in Zip Code 01746 is $71,055, while median incomes of families and households are $174,092 and $149,614 respectively.
| Characteristic | Number | Measure |
| Per Capita Income | 14,902 | $71,055 |
| Median Family Income | 4,401 | $174,092 |
| Mean Family Income | 4,401 | $216,324 |
| Median Household Income | 5,562 | $149,614 |
| Mean Household Income | 5,562 | $188,651 |
| Income Deficit | 4,401 | $0 |
| Wage / Income Gap (%) | 14,902 | 52.09% |
| Wage / Income Gap ($) | 14,902 | 47.91¢ per $1 |
| Gini / Inequality Index | 14,902 | 0.43 |
Earnings by Sex in Zip Code 01746
Average Earnings in Zip Code 01746 are $71,061, $96,141 for men and $46,064 for women, a difference of 52.1%.
| Sex | Number | Average Earnings |
| Male | 4,892 (54.1%) | $96,141 |
| Female | 4,153 (45.9%) | $46,064 |
| Total | 9,045 (100.0%) | $71,061 |
Earnings by Sex by Income Bracket in Zip Code 01746
The most common earnings brackets in Zip Code 01746 are $100,000+ for men (2,421 | 49.5%) and $100,000+ for women (910 | 21.9%).
| Income | Male | Female |
| $2,499 or less | 180 (3.7%) | 192 (4.6%) |
| $2,500 to $4,999 | 91 (1.9%) | 214 (5.1%) |
| $5,000 to $7,499 | 164 (3.4%) | 265 (6.4%) |
| $7,500 to $9,999 | 68 (1.4%) | 77 (1.8%) |
| $10,000 to $12,499 | 121 (2.5%) | 174 (4.2%) |
| $12,500 to $14,999 | 64 (1.3%) | 117 (2.8%) |
| $15,000 to $17,499 | 48 (1.0%) | 103 (2.5%) |
| $17,500 to $19,999 | 9 (0.2%) | 67 (1.6%) |
| $20,000 to $22,499 | 22 (0.4%) | 134 (3.2%) |
| $22,500 to $24,999 | 28 (0.6%) | 76 (1.8%) |
| $25,000 to $29,999 | 122 (2.5%) | 184 (4.4%) |
| $30,000 to $34,999 | 185 (3.8%) | 161 (3.9%) |
| $35,000 to $39,999 | 82 (1.7%) | 156 (3.8%) |
| $40,000 to $44,999 | 157 (3.2%) | 125 (3.0%) |
| $45,000 to $49,999 | 50 (1.0%) | 164 (4.0%) |
| $50,000 to $54,999 | 79 (1.6%) | 117 (2.8%) |
| $55,000 to $64,999 | 211 (4.3%) | 235 (5.7%) |
| $65,000 to $74,999 | 263 (5.4%) | 199 (4.8%) |
| $75,000 to $99,999 | 527 (10.8%) | 483 (11.6%) |
| $100,000+ | 2,421 (49.5%) | 910 (21.9%) |
| Total | 4,892 (100.0%) | 4,153 (100.0%) |
Earnings by Sex by Educational Attainment in Zip Code 01746
Average earnings in Zip Code 01746 are $113,277 for men and $55,709 for women, a difference of 50.8%. Men with an educational attainment of graduate degree enjoy the highest average annual earnings of $149,345, while those with high school diploma education earn the least with $40,625. Women with an educational attainment of graduate degree earn the most with the average annual earnings of $76,438, while those with high school diploma education have the smallest earnings of $27,857.
| Educational Attainment | Male Income | Female Income |
| Less than High School | $43,859 | $0 |
| High School Diploma | $40,625 | $27,857 |
| College or Associate's Degree | $112,513 | $39,600 |
| Bachelor's Degree | $117,478 | $71,667 |
| Graduate Degree | $149,345 | $76,438 |
| Total | $113,277 | $55,709 |
Family Income in Zip Code 01746
Family Income Brackets in Zip Code 01746
According to the Zip Code 01746 family income data, there are 1,822 families falling into the $200,000+ income range, which is the most common income bracket and makes up 41.4% of all families. Conversely, the $10,000 to $14,999 income bracket is the least frequent group with only 9 families (0.2%) belonging to this category.
| Income Bracket | # Families | % Families |
| Less than $10,000 | 88 | 2.0% |
| $10,000 to $14,999 | 9 | 0.2% |
| $15,000 to $24,999 | 70 | 1.6% |
| $25,000 to $34,999 | 132 | 3.0% |
| $35,000 to $49,999 | 110 | 2.5% |
| $50,000 to $74,999 | 224 | 5.1% |
| $75,000 to $99,999 | 370 | 8.4% |
| $100,000 to $149,999 | 814 | 18.5% |
| $150,000 to $199,999 | 761 | 17.3% |
| $200,000+ | 1,822 | 41.4% |
Family Income by Famaliy Size in Zip Code 01746
6-person families (41 | 0.9%) account for the highest median family income in Zip Code 01746 with $250,001 per family, while 2-person families (2,028 | 46.1%) have the highest median income of $68,058 per family member.
| Income Bracket | # Families | Median Income |
| 2-Person Families | 2,028 (46.1%) | $136,117 |
| 3-Person Families | 963 (21.9%) | $190,878 |
| 4-Person Families | 921 (20.9%) | $218,487 |
| 5-Person Families | 374 (8.5%) | $230,357 |
| 6-Person Families | 41 (0.9%) | $250,001 |
| 7+ Person Families | 74 (1.7%) | $194,702 |
| Total | 4,401 (100.0%) | $174,092 |
Family Income by Number of Earners in Zip Code 01746
The median family income in Zip Code 01746 is $174,092, with families comprising 3+ earners (772) having the highest median family income of $240,893, while families with no earners (460) have the lowest median family income of $52,500, accounting for 17.5% and 10.4% of families, respectively.
| Number of Earners | # Families | Median Income |
| No Earners | 460 (10.4%) | $52,500 |
| 1 Earner | 901 (20.5%) | $170,324 |
| 2 Earners | 2,268 (51.5%) | $179,889 |
| 3+ Earners | 772 (17.5%) | $240,893 |
| Total | 4,401 (100.0%) | $174,092 |
Household Income in Zip Code 01746
Household Income Brackets in Zip Code 01746
With 1,886 households falling in the category, the $200,000+ income range is the most frequent in Zip Code 01746, accounting for 33.9% of all households. In contrast, only 61 households (1.1%) fall into the $10,000 to $14,999 income bracket, making it the least populous group.
| Income Bracket | # Households | % Households |
| Less than $10,000 | 145 | 2.6% |
| $10,000 to $14,999 | 61 | 1.1% |
| $15,000 to $24,999 | 156 | 2.8% |
| $25,000 to $34,999 | 334 | 6.0% |
| $35,000 to $49,999 | 261 | 4.7% |
| $50,000 to $74,999 | 412 | 7.4% |
| $75,000 to $99,999 | 389 | 7.0% |
| $100,000 to $149,999 | 1,057 | 19.0% |
| $150,000 to $199,999 | 873 | 15.7% |
| $200,000+ | 1,886 | 33.9% |
Household Income by Householder Age in Zip Code 01746
The median household income in Zip Code 01746 is $149,614, with the highest median household income of $190,000 found in the 45 to 64 years age bracket for the primary householder. A total of 2,492 households (44.8%) fall into this category. Meanwhile, the 15 to 24 years age bracket for the primary householder has the lowest median household income of $21,411, with 91 households (1.6%) in this group.
| Income Bracket | # Households | Median Income |
| 15 to 24 Years | 91 (1.6%) | $21,411 |
| 25 to 44 Years | 1,292 (23.2%) | $178,621 |
| 45 to 64 Years | 2,492 (44.8%) | $190,000 |
| 65+ Years | 1,687 (30.3%) | $77,423 |
| Total | 5,562 (100.0%) | $149,614 |
Poverty in Zip Code 01746
Income Below Poverty by Sex and Age in Zip Code 01746
With 2.4% poverty level for males and 3.8% for females among the residents of Zip Code 01746, 65 to 74 year old males and 75 year old and over females are the most vulnerable to poverty, with 75 males (9.2%) and 67 females (12.0%) in their respective age groups living below the poverty level.
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 12 (4.1%) |
| 5 Years | 0 (0.0%) | 0 (0.0%) |
| 6 to 11 Years | 26 (3.9%) | 25 (4.4%) |
| 12 to 14 Years | 0 (0.0%) | 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 | 0 (0.0%) | 28 (5.4%) |
| 25 to 34 Years | 7 (1.1%) | 58 (11.8%) |
| 35 to 44 Years | 36 (3.4%) | 11 (1.3%) |
| 45 to 54 Years | 15 (1.2%) | 25 (2.2%) |
| 55 to 64 Years | 20 (1.7%) | 0 (0.0%) |
| 65 to 74 Years | 75 (9.2%) | 44 (5.2%) |
| 75 Years and over | 3 (0.8%) | 67 (12.0%) |
| Total | 182 (2.4%) | 270 (3.8%) |
Income Above Poverty by Sex and Age in Zip Code 01746
According to the poverty statistics in Zip Code 01746, males aged under 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 | 274 (100.0%) | 281 (95.9%) |
| 5 Years | 132 (100.0%) | 17 (100.0%) |
| 6 to 11 Years | 643 (96.1%) | 540 (95.6%) |
| 12 to 14 Years | 379 (100.0%) | 297 (100.0%) |
| 15 Years | 85 (100.0%) | 166 (100.0%) |
| 16 and 17 Years | 237 (100.0%) | 180 (100.0%) |
| 18 to 24 Years | 606 (100.0%) | 486 (94.6%) |
| 25 to 34 Years | 617 (98.9%) | 435 (88.2%) |
| 35 to 44 Years | 1,009 (96.6%) | 838 (98.7%) |
| 45 to 54 Years | 1,215 (98.8%) | 1,102 (97.8%) |
| 55 to 64 Years | 1,184 (98.3%) | 1,284 (100.0%) |
| 65 to 74 Years | 744 (90.8%) | 797 (94.8%) |
| 75 Years and over | 382 (99.2%) | 493 (88.0%) |
| Total | 7,507 (97.6%) | 6,916 (96.2%) |
Income Below Poverty Among Married-Couple Families in Zip Code 01746
The poverty statistics for married-couple families in Zip Code 01746 show that 1.0% or 36 of the total 3,626 families live below the poverty line. Families with no children have the highest poverty rate of 1.7%, comprising of 36 families. On the other hand, families with 1 or 2 children have the lowest poverty rate of 0.0%, which includes 0 families.
| Children | Above Poverty | Below Poverty |
| No Children | 2,067 (98.3%) | 36 (1.7%) |
| 1 or 2 Children | 1,137 (100.0%) | 0 (0.0%) |
| 3 or 4 Children | 386 (100.0%) | 0 (0.0%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 3,590 (99.0%) | 36 (1.0%) |
Income Below Poverty Among Single-Parent Households in Zip Code 01746
| Children | Single Father | Single Mother |
| No Children | 0 (0.0%) | 39 (8.3%) |
| 1 or 2 Children | 0 (0.0%) | 37 (31.4%) |
| 3 or 4 Children | 0 (0.0%) | 0 (0.0%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 0 (0.0%) | 76 (12.9%) |
Income Below Poverty Among Married-Couple vs Single-Parent Households in Zip Code 01746
The poverty data for Zip Code 01746 shows that 36 of the married-couple family households (1.0%) and 76 of the single-parent households (9.8%) are living below the poverty level. Within the married-couple family households, those with no children have the highest poverty rate, with 36 households (1.7%) falling below the poverty line. Among the single-parent households, those with 1 or 2 children have the highest poverty rate, with 37 household (26.4%) living below poverty.
| Children | Married-Couple Families | Single-Parent Households |
| No Children | 36 (1.7%) | 39 (6.3%) |
| 1 or 2 Children | 0 (0.0%) | 37 (26.4%) |
| 3 or 4 Children | 0 (0.0%) | 0 (0.0%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 36 (1.0%) | 76 (9.8%) |
Employment Characteristics in Zip Code 01746
Employment by Class of Employer in Zip Code 01746
Among the 8,093 employed individuals in Zip Code 01746, private company employees (5,272 | 65.1%), local government employees (930 | 11.5%), and not-for-profit organizations (855 | 10.6%) make up the most common classes of employment.
| Employer Class | # Employees | % Employees |
| Private Company Employees | 5,272 | 65.1% |
| Self-Employed (Incorporated) | 313 | 3.9% |
| Self-Employed (Not Incorporated) | 424 | 5.2% |
| Not-for-profit Organizations | 855 | 10.6% |
| Local Government Employees | 930 | 11.5% |
| State Government Employees | 194 | 2.4% |
| Federal Government Employees | 105 | 1.3% |
| Unpaid Family Workers | 0 | 0.0% |
| Total | 8,093 | 100.0% |
Employment Status by Age in Zip Code 01746
According to the labor force statistics for Zip Code 01746, out of the total population over 16 years of age (12,025), 72.3% or 8,694 individuals are in the labor force, with 4.7% or 409 of them unemployed. The age group with the highest labor force participation rate is 35 to 44 years, with 93.6% or 1,773 individuals in the labor force. Within the labor force, the 20 to 24 years age range has the highest percentage of unemployed individuals, with 26.8% or 179 of them being unemployed.
| Age Bracket | In Labor Force | Unemployed |
| 16 to 19 Years | 292 (39.6%) | 15 (5.1%) |
| 20 to 24 Years | 669 (83.6%) | 179 (26.8%) |
| 25 to 29 Years | 382 (74.6%) | 47 (12.3%) |
| 30 to 34 Years | 562 (92.9%) | 10 (1.8%) |
| 35 to 44 Years | 1,773 (93.6%) | 28 (1.6%) |
| 45 to 54 Years | 2,157 (91.5%) | 43 (2.0%) |
| 55 to 59 Years | 1,122 (88.8%) | 83 (7.4%) |
| 60 to 64 Years | 1,023 (83.5%) | 0 (0.0%) |
| 65 to 74 Years | 662 (39.9%) | 6 (0.9%) |
| 75 Years and over | 61 (6.3%) | 0 (0.0%) |
| Total | 8,694 (72.3%) | 409 (4.7%) |
Employment Status by Educational Attainment in Zip Code 01746
According to labor force statistics for Zip Code 01746, 89.3% of individuals (7,015) out of the total population between 25 and 64 years of age (7,856) are in the labor force, with 3.0% or 210 of them being unemployed. The group with the highest labor force participation rate are those with the educational attainment of less than high school, with 100.0% or 191 individuals in the labor force. Within the labor force, individuals with high school diploma education have the highest percentage of unemployment, with 4.7% or 30 of them being unemployed.
| Educational Attainment | In Labor Force | Unemployed |
| Less than High School | 191 (100.0%) | 0 (0.0%) |
| High School Diploma | 640 (75.1%) | 40 (4.7%) |
| College / Associate Degree | 1,206 (93.3%) | 48 (3.7%) |
| Bachelor's Degree or higher | 4,979 (90.2%) | 155 (2.8%) |
| Total | 7,015 (89.3%) | 236 (3.0%) |
Employment Occupations by Sex in Zip Code 01746
Management, Business, Science and Arts Occupations
The most common Management, Business, Science and Arts occupations in Zip Code 01746 are Management (1,470 | 17.7%), Computers, Engineering & Science (1,285 | 15.5%), Community & Social Service (1,083 | 13.1%), Computers & Mathematics (807 | 9.7%), and Education Instruction & Library (710 | 8.6%).
Management, Business, Science and Arts Occupations by Sex
Within the Management, Business, Science and Arts occupations in Zip Code 01746, the most male-oriented occupations are Architecture & Engineering (86.3%), Computers & Mathematics (83.6%), and Computers, Engineering & Science (82.3%), while the most female-oriented occupations are Health Technologists (90.2%), Health Diagnosing & Treating (89.0%), and Education Instruction & Library (64.5%).
| Occupation | Male | Female |
| Management | 905 (61.6%) | 565 (38.4%) |
| Business & Financial | 283 (44.4%) | 354 (55.6%) |
| Computers, Engineering & Science | 1,057 (82.3%) | 228 (17.7%) |
| Computers & Mathematics | 675 (83.6%) | 132 (16.4%) |
| Architecture & Engineering | 309 (86.3%) | 49 (13.7%) |
| Life, Physical & Social Science | 73 (60.8%) | 47 (39.2%) |
| Community & Social Service | 445 (41.1%) | 638 (58.9%) |
| Education, Arts & Media | 65 (52.0%) | 60 (48.0%) |
| Legal Services & Support | 84 (61.8%) | 52 (38.2%) |
| Education Instruction & Library | 252 (35.5%) | 458 (64.5%) |
| Arts, Media & Entertainment | 44 (39.3%) | 68 (60.7%) |
| Health Diagnosing & Treating | 50 (11.0%) | 403 (89.0%) |
| Health Technologists | 38 (9.8%) | 350 (90.2%) |
| Total (Category) | 2,740 (55.6%) | 2,188 (44.4%) |
| Total (Overall) | 4,519 (54.5%) | 3,769 (45.5%) |
Services Occupations
The most common Services occupations in Zip Code 01746 are Food Preparation & Serving (415 | 5.0%), Personal Care & Service (190 | 2.3%), Cleaning & Maintenance (128 | 1.5%), Security & Protection (94 | 1.1%), and Healthcare Support (66 | 0.8%).
Services Occupations by Sex
Within the Services occupations in Zip Code 01746, the most male-oriented occupations are Security & Protection (100.0%), Firefighting & Prevention (100.0%), and Law Enforcement (100.0%), while the most female-oriented occupations are Healthcare Support (100.0%), Personal Care & Service (87.9%), and Food Preparation & Serving (72.5%).
| Occupation | Male | Female |
| Healthcare Support | 0 (0.0%) | 66 (100.0%) |
| Security & Protection | 94 (100.0%) | 0 (0.0%) |
| Firefighting & Prevention | 34 (100.0%) | 0 (0.0%) |
| Law Enforcement | 60 (100.0%) | 0 (0.0%) |
| Food Preparation & Serving | 114 (27.5%) | 301 (72.5%) |
| Cleaning & Maintenance | 111 (86.7%) | 17 (13.3%) |
| Personal Care & Service | 23 (12.1%) | 167 (87.9%) |
| Total (Category) | 342 (38.3%) | 551 (61.7%) |
| Total (Overall) | 4,519 (54.5%) | 3,769 (45.5%) |
Sales and Office Occupations
The most common Sales and Office occupations in Zip Code 01746 are Sales & Related (766 | 9.2%), and Office & Administration (724 | 8.7%).
Sales and Office Occupations by Sex
| Occupation | Male | Female |
| Sales & Related | 368 (48.0%) | 398 (52.0%) |
| Office & Administration | 177 (24.4%) | 547 (75.5%) |
| Total (Category) | 545 (36.6%) | 945 (63.4%) |
| Total (Overall) | 4,519 (54.5%) | 3,769 (45.5%) |
Natural Resources, Construction and Maintenance Occupations
The most common Natural Resources, Construction and Maintenance occupations in Zip Code 01746 are Construction & Extraction (414 | 5.0%), Installation, Maintenance & Repair (106 | 1.3%), and Farming, Fishing & Forestry (14 | 0.2%).
Natural Resources, Construction and Maintenance Occupations by Sex
| Occupation | Male | Female |
| Farming, Fishing & Forestry | 14 (100.0%) | 0 (0.0%) |
| Construction & Extraction | 406 (98.1%) | 8 (1.9%) |
| Installation, Maintenance & Repair | 106 (100.0%) | 0 (0.0%) |
| Total (Category) | 526 (98.5%) | 8 (1.5%) |
| Total (Overall) | 4,519 (54.5%) | 3,769 (45.5%) |
Production, Transportation and Moving Occupations
The most common Production, Transportation and Moving occupations in Zip Code 01746 are Material Moving (184 | 2.2%), Production (161 | 1.9%), and Transportation (98 | 1.2%).
Production, Transportation and Moving Occupations by Sex
| Occupation | Male | Female |
| Production | 145 (90.1%) | 16 (9.9%) |
| Transportation | 52 (53.1%) | 46 (46.9%) |
| Material Moving | 169 (91.8%) | 15 (8.2%) |
| Total (Category) | 366 (82.6%) | 77 (17.4%) |
| Total (Overall) | 4,519 (54.5%) | 3,769 (45.5%) |
Employment Industries by Sex in Zip Code 01746
Employment Industries in Zip Code 01746
The major employment industries in Zip Code 01746 include Professional & Scientific (1,291 | 15.6%), Educational Services (1,258 | 15.2%), Health Care & Social Assistance (952 | 11.5%), Retail Trade (706 | 8.5%), and Construction (689 | 8.3%).
Employment Industries by Sex in Zip Code 01746
The Zip Code 01746 industries that see more men than women are Utilities (100.0%), Construction (84.8%), and Manufacturing (78.5%), whereas the industries that tend to have a higher number of women are Enterprise Management (100.0%), Accommodation & Food Services (75.3%), and Health Care & Social Assistance (73.2%).
| Industry | Male | Female |
| Agriculture, Fishing & Hunting | 28 (59.6%) | 19 (40.4%) |
| Mining, Quarrying, & Extraction | 0 (0.0%) | 0 (0.0%) |
| Construction | 584 (84.8%) | 105 (15.2%) |
| Manufacturing | 531 (78.5%) | 145 (21.4%) |
| Wholesale Trade | 42 (41.2%) | 60 (58.8%) |
| Retail Trade | 315 (44.6%) | 391 (55.4%) |
| Transportation & Warehousing | 148 (71.5%) | 59 (28.5%) |
| Utilities | 14 (100.0%) | 0 (0.0%) |
| Information | 118 (39.5%) | 181 (60.5%) |
| Finance & Insurance | 354 (62.1%) | 216 (37.9%) |
| Real Estate, Rental & Leasing | 104 (58.1%) | 75 (41.9%) |
| Professional & Scientific | 898 (69.6%) | 393 (30.4%) |
| Enterprise Management | 0 (0.0%) | 18 (100.0%) |
| Administrative & Support | 134 (60.4%) | 88 (39.6%) |
| Educational Services | 458 (36.4%) | 800 (63.6%) |
| Health Care & Social Assistance | 255 (26.8%) | 697 (73.2%) |
| Arts, Entertainment & Recreation | 66 (61.1%) | 42 (38.9%) |
| Accommodation & Food Services | 63 (24.7%) | 192 (75.3%) |
| Public Administration | 192 (62.7%) | 114 (37.2%) |
| Total | 4,519 (54.5%) | 3,769 (45.5%) |
Education in Zip Code 01746
School Enrollment in Zip Code 01746
The most common levels of schooling among the 3,872 students in Zip Code 01746 are high school (910 | 23.5%), elementary school (899 | 23.2%), and middle school (765 | 19.8%).
| School Level | # Students | % Students |
| Nursery / Preschool | 363 | 9.4% |
| Kindergarten | 196 | 5.1% |
| Elementary School | 899 | 23.2% |
| Middle School | 765 | 19.8% |
| High School | 910 | 23.5% |
| College / Undergraduate | 487 | 12.6% |
| Graduate / Professional | 252 | 6.5% |
| Total | 3,872 | 100.0% |
School Enrollment by Age by Funding Source in Zip Code 01746
Out of a total of 3,872 students who are enrolled in schools in Zip Code 01746, 786 (20.3%) attend a private institution, while the remaining 3,086 (79.7%) are enrolled in public schools. The age group of 25 to 34 year olds has the highest likelihood of being enrolled in private schools, with 104 (77.0% 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 968 (96.6% in the age bracket) attending a public institution.
| Age Bracket | Public School | Private School |
| 3 to 4 Year Olds | 124 (39.5%) | 190 (60.5%) |
| 5 to 9 Year Old | 968 (96.6%) | 34 (3.4%) |
| 10 to 14 Year Olds | 984 (94.4%) | 58 (5.6%) |
| 15 to 17 Year Olds | 607 (90.9%) | 61 (9.1%) |
| 18 to 19 Year Olds | 143 (66.2%) | 73 (33.8%) |
| 20 to 24 Year Olds | 123 (48.6%) | 130 (51.4%) |
| 25 to 34 Year Olds | 31 (23.0%) | 104 (77.0%) |
| 35 Years and over | 107 (44.2%) | 135 (55.8%) |
| Total | 3,086 (79.7%) | 786 (20.3%) |
Educational Attainment by Field of Study in Zip Code 01746
Business (1,281 | 17.5%), engineering (777 | 10.6%), social sciences (755 | 10.3%), education (621 | 8.5%), and bio, nature & agricultural (559 | 7.6%) are the most common fields of study among 7,320 individuals in Zip Code 01746 who have obtained a bachelor's degree or higher.
| Field of Study | # Graduates | % Graduates |
| Computers & Mathematics | 486 | 6.6% |
| Bio, Nature & Agricultural | 559 | 7.6% |
| Physical & Health Sciences | 208 | 2.8% |
| Psychology | 371 | 5.1% |
| Social Sciences | 755 | 10.3% |
| Engineering | 777 | 10.6% |
| Multidisciplinary Studies | 41 | 0.6% |
| Science & Technology | 506 | 6.9% |
| Business | 1,281 | 17.5% |
| Education | 621 | 8.5% |
| Literature & Languages | 474 | 6.5% |
| Liberal Arts & History | 369 | 5.0% |
| Visual & Performing Arts | 240 | 3.3% |
| Communications | 250 | 3.4% |
| Arts & Humanities | 382 | 5.2% |
| Total | 7,320 | 100.0% |
Transportation & Commute in Zip Code 01746
Vehicle Availability by Sex in Zip Code 01746
The most prevalent vehicle ownership categories in Zip Code 01746 are males with 2 vehicles (2,227, accounting for 50.0%) and females with 2 vehicles (2,018, making up 61.5%).
| Vehicles Available | Male | Female |
| No Vehicle | 69 (1.5%) | 42 (1.2%) |
| 1 Vehicle | 507 (11.4%) | 438 (12.1%) |
| 2 Vehicles | 2,227 (50.0%) | 2,018 (55.8%) |
| 3 Vehicles | 1,254 (28.1%) | 762 (21.1%) |
| 4 Vehicles | 311 (7.0%) | 256 (7.1%) |
| 5 or more Vehicles | 90 (2.0%) | 103 (2.9%) |
| Total | 4,458 (100.0%) | 3,619 (100.0%) |
Commute Time in Zip Code 01746
The most frequently occuring commute durations in Zip Code 01746 are 60 to 89 minutes (1,050 commuters, 16.9%), 30 to 34 minutes (908 commuters, 14.6%), and 45 to 59 minutes (705 commuters, 11.3%).
| Commute Time | # Commuters | % Commuters |
| Less than 5 Minutes | 95 | 1.5% |
| 5 to 9 Minutes | 361 | 5.8% |
| 10 to 14 Minutes | 538 | 8.6% |
| 15 to 19 Minutes | 559 | 9.0% |
| 20 to 24 Minutes | 619 | 10.0% |
| 25 to 29 Minutes | 461 | 7.4% |
| 30 to 34 Minutes | 908 | 14.6% |
| 35 to 39 Minutes | 298 | 4.8% |
| 40 to 44 Minutes | 459 | 7.4% |
| 45 to 59 Minutes | 705 | 11.3% |
| 60 to 89 Minutes | 1,050 | 16.9% |
| 90 or more Minutes | 165 | 2.6% |
Commute Time by Sex in Zip Code 01746
The most common commute times in Zip Code 01746 are 60 to 89 minutes (695 commuters, 20.1%) for males and 30 to 34 minutes (395 commuters, 14.3%) for females.
| Commute Time | Male | Female |
| Less than 5 Minutes | 76 (2.2%) | 19 (0.7%) |
| 5 to 9 Minutes | 138 (4.0%) | 223 (8.1%) |
| 10 to 14 Minutes | 242 (7.0%) | 296 (10.7%) |
| 15 to 19 Minutes | 329 (9.5%) | 230 (8.3%) |
| 20 to 24 Minutes | 257 (7.4%) | 362 (13.1%) |
| 25 to 29 Minutes | 131 (3.8%) | 330 (11.9%) |
| 30 to 34 Minutes | 513 (14.9%) | 395 (14.3%) |
| 35 to 39 Minutes | 161 (4.7%) | 137 (5.0%) |
| 40 to 44 Minutes | 269 (7.8%) | 190 (6.9%) |
| 45 to 59 Minutes | 556 (16.1%) | 149 (5.4%) |
| 60 to 89 Minutes | 695 (20.1%) | 355 (12.8%) |
| 90 or more Minutes | 85 (2.5%) | 80 (2.9%) |
Time of Departure to Work by Sex in Zip Code 01746
The most frequent times of departure to work in Zip Code 01746 are 6:30 AM to 6:59 AM (776, 22.5%) for males and 8:00 AM to 8:29 AM (436, 15.8%) for females.
| Time of Departure | Male | Female |
| 12:00 AM to 4:59 AM | 98 (2.8%) | 28 (1.0%) |
| 5:00 AM to 5:29 AM | 218 (6.3%) | 61 (2.2%) |
| 5:30 AM to 5:59 AM | 333 (9.7%) | 30 (1.1%) |
| 6:00 AM to 6:29 AM | 316 (9.1%) | 293 (10.6%) |
| 6:30 AM to 6:59 AM | 776 (22.5%) | 359 (13.0%) |
| 7:00 AM to 7:29 AM | 349 (10.1%) | 357 (12.9%) |
| 7:30 AM to 7:59 AM | 308 (8.9%) | 366 (13.2%) |
| 8:00 AM to 8:29 AM | 428 (12.4%) | 436 (15.8%) |
| 8:30 AM to 8:59 AM | 71 (2.1%) | 377 (13.6%) |
| 9:00 AM to 9:59 AM | 139 (4.0%) | 106 (3.8%) |
| 10:00 AM to 10:59 AM | 96 (2.8%) | 134 (4.8%) |
| 11:00 AM to 11:59 AM | 37 (1.1%) | 39 (1.4%) |
| 12:00 PM to 3:59 PM | 213 (6.2%) | 102 (3.7%) |
| 4:00 PM to 11:59 PM | 70 (2.0%) | 78 (2.8%) |
| Total | 3,452 (100.0%) | 2,766 (100.0%) |
Housing Occupancy in Zip Code 01746
Occupancy by Ownership in Zip Code 01746
Of the total 5,562 dwellings in Zip Code 01746, owner-occupied units account for 4,889 (87.9%), while renter-occupied units make up 673 (12.1%).
| Occupancy | # Housing Units | % Housing Units |
| Owner Occupied Housing Units | 4,889 | 87.9% |
| Renter-Occupied Housing Units | 673 | 12.1% |
| Total Occupied Housing Units | 5,562 | 100.0% |
Occupancy by Household Size in Zip Code 01746
| Household Size | # Housing Units | % Housing Units |
| 1-Person Household | 971 | 17.5% |
| 2-Person Household | 2,067 | 37.2% |
| 3-Person Household | 1,074 | 19.3% |
| 4+ Person Household | 1,450 | 26.1% |
| Total Housing Units | 5,562 | 100.0% |
Occupancy by Ownership by Household Size in Zip Code 01746
| Household Size | Owner-occupied | Renter-occupied |
| 1-Person Household | 610 (62.8%) | 361 (37.2%) |
| 2-Person Household | 1,836 (88.8%) | 231 (11.2%) |
| 3-Person Household | 1,036 (96.5%) | 38 (3.5%) |
| 4+ Person Household | 1,407 (97.0%) | 43 (3.0%) |
| Total Housing Units | 4,889 (87.9%) | 673 (12.1%) |
Occupancy by Educational Attainment in Zip Code 01746
| Household Size | Owner-occupied | Renter-occupied |
| Less than High School | 249 (83.6%) | 49 (16.4%) |
| High School Diploma | 398 (77.1%) | 118 (22.9%) |
| College/Associate Degree | 805 (75.0%) | 268 (25.0%) |
| Bachelor's Degree or higher | 3,437 (93.5%) | 238 (6.5%) |
Occupancy by Age of Householder in Zip Code 01746
| Age Bracket | # Households | % Households |
| Under 35 Years | 425 | 7.6% |
| 35 to 44 Years | 958 | 17.2% |
| 45 to 54 Years | 1,144 | 20.6% |
| 55 to 64 Years | 1,348 | 24.2% |
| 65 to 74 Years | 1,050 | 18.9% |
| 75 to 84 Years | 534 | 9.6% |
| 85 Years and Over | 103 | 1.8% |
| Total | 5,562 | 100.0% |
Housing Finances in Zip Code 01746
Median Income by Occupancy in Zip Code 01746
| Occupancy Type | # Households | Median Income |
| Owner-Occupied | 4,889 (87.9%) | $165,781 |
| Renter-Occupied | 673 (12.1%) | $45,063 |
| Average | 5,562 (100.0%) | $149,614 |
Occupancy by Householder Income Bracket in Zip Code 01746
| Income Bracket | Owner-occupied | Renter-occupied |
| Less than $5,000 | 46 (0.9%) | 62 (9.2%) |
| $5,000 to $9,999 | 14 (0.3%) | 20 (3.0%) |
| $10,000 to $14,999 | 32 (0.6%) | 27 (4.0%) |
| $15,000 to $19,999 | 53 (1.1%) | 0 (0.0%) |
| $20,000 to $24,999 | 33 (0.7%) | 69 (10.2%) |
| $25,000 to $34,999 | 219 (4.5%) | 115 (17.1%) |
| $35,000 to $49,999 | 198 (4.1%) | 63 (9.4%) |
| $50,000 to $74,999 | 348 (7.1%) | 61 (9.1%) |
| $75,000 to $99,999 | 309 (6.3%) | 83 (12.3%) |
| $100,000 to $149,999 | 903 (18.5%) | 151 (22.4%) |
| $150,000 or more | 2,734 (55.9%) | 22 (3.3%) |
| Total | 4,889 (100.0%) | 673 (100.0%) |
Monthly Housing Cost Tiers in Zip Code 01746
| Monthly Cost | Owner-occupied | Renter-occupied |
| Less than $300 | 21 (0.4%) | 22 (3.3%) |
| $300 to $499 | 41 (0.8%) | 65 (9.7%) |
| $500 to $799 | 235 (4.8%) | 44 (6.5%) |
| $800 to $999 | 259 (5.3%) | 67 (10.0%) |
| $1,000 to $1,499 | 716 (14.6%) | 62 (9.2%) |
| $1,500 to $1,999 | 489 (10.0%) | 296 (44.0%) |
| $2,000 to $2,499 | 605 (12.4%) | 77 (11.4%) |
| $2,500 to $2,999 | 754 (15.4%) | 0 (0.0%) |
| $3,000 or more | 1,769 (36.2%) | 23 (3.4%) |
| Total | 4,889 (100.0%) | 673 (100.0%) |
Physical Housing Characteristics in Zip Code 01746
Housing Structures in Zip Code 01746
| Structure Type | # Housing Units | % Housing Units |
| Single Unit, Detached | 4,425 | 79.6% |
| Single Unit, Attached | 340 | 6.1% |
| 2 Unit Apartments | 81 | 1.5% |
| 3 or 4 Unit Apartments | 241 | 4.3% |
| 5 to 9 Unit Apartments | 63 | 1.1% |
| 10 or more Apartments | 382 | 6.9% |
| Mobile Home / Other | 30 | 0.5% |
| Total | 5,562 | 100.0% |
Housing Structures by Occupancy in Zip Code 01746
| Structure Type | Owner-occupied | Renter-occupied |
| Single Unit, Detached | 4,375 (98.9%) | 50 (1.1%) |
| Single Unit, Attached | 270 (79.4%) | 70 (20.6%) |
| 2 Unit Apartments | 53 (65.4%) | 28 (34.6%) |
| 3 or 4 Unit Apartments | 39 (16.2%) | 202 (83.8%) |
| 5 to 9 Unit Apartments | 11 (17.5%) | 52 (82.5%) |
| 10 or more Apartments | 111 (29.1%) | 271 (70.9%) |
| Mobile Home / Other | 30 (100.0%) | 0 (0.0%) |
| Total | 4,889 (87.9%) | 673 (12.1%) |
Housing Structures by Number of Rooms in Zip Code 01746
| Number of Rooms | Owner-occupied | Renter-occupied |
| 1 Room | 0 (0.0%) | 0 (0.0%) |
| 2 or 3 Rooms | 170 (3.5%) | 274 (40.7%) |
| 4 or 5 Rooms | 699 (14.3%) | 332 (49.3%) |
| 6 or 7 Rooms | 1,743 (35.6%) | 61 (9.1%) |
| 8 or more Rooms | 2,277 (46.6%) | 6 (0.9%) |
| Total | 4,889 (100.0%) | 673 (100.0%) |
Housing Structure by Heating Type in Zip Code 01746
| Heating Type | Owner-occupied | Renter-occupied |
| Utility Gas | 2,980 (61.0%) | 277 (41.2%) |
| Bottled, Tank, or LP Gas | 121 (2.5%) | 53 (7.9%) |
| Electricity | 279 (5.7%) | 283 (42.0%) |
| Fuel Oil or Kerosene | 1,486 (30.4%) | 60 (8.9%) |
| Coal or Coke | 0 (0.0%) | 0 (0.0%) |
| All other Fuels | 23 (0.5%) | 0 (0.0%) |
| No Fuel Used | 0 (0.0%) | 0 (0.0%) |
| Total | 4,889 (100.0%) | 673 (100.0%) |
Household Vehicle Usage in Zip Code 01746
| Vehicles per Household | Owner-occupied | Renter-occupied |
| No Vehicle | 104 (2.1%) | 105 (15.6%) |
| 1 Vehicle | 905 (18.5%) | 289 (42.9%) |
| 2 Vehicles | 2,635 (53.9%) | 253 (37.6%) |
| 3 or more Vehicles | 1,245 (25.5%) | 26 (3.9%) |
| Total | 4,889 (100.0%) | 673 (100.0%) |
Real Estate & Mortgages in Zip Code 01746
Real Estate and Mortgage Overview in Zip Code 01746
| Characteristic | Without Mortgage | With Mortgage |
| Housing Units | 1,620 | 3,269 |
| Median Property Value | $534,700 | $607,700 |
| Median Household Income | $132,052 | $2,154 |
| Monthly Housing Costs | $1,214 | $1,741 |
| Real Estate Taxes | $8,066 | $52 |
Property Value by Mortgage Status in Zip Code 01746
| Property Value | Without Mortgage | With Mortgage |
| Less than $50,000 | 8 (0.5%) | 14 (0.4%) |
| $50,000 to $99,999 | 21 (1.3%) | 33 (1.0%) |
| $100,000 to $299,999 | 146 (9.0%) | 85 (2.6%) |
| $300,000 to $499,999 | 547 (33.8%) | 765 (23.4%) |
| $500,000 to $749,999 | 634 (39.1%) | 1,712 (52.4%) |
| $750,000 to $999,999 | 200 (12.3%) | 525 (16.1%) |
| $1,000,000 or more | 64 (4.0%) | 135 (4.1%) |
| Total | 1,620 (100.0%) | 3,269 (100.0%) |
Household Income by Mortgage Status in Zip Code 01746
| Household Income | Without Mortgage | With Mortgage |
| Less than $10,000 | 46 (2.8%) | 10 (0.3%) |
| $10,000 to $24,999 | 82 (5.1%) | 14 (0.4%) |
| $25,000 to $34,999 | 88 (5.4%) | 36 (1.1%) |
| $35,000 to $49,999 | 148 (9.1%) | 131 (4.0%) |
| $50,000 to $74,999 | 192 (11.8%) | 50 (1.5%) |
| $75,000 to $99,999 | 136 (8.4%) | 156 (4.8%) |
| $100,000 to $149,999 | 348 (21.5%) | 173 (5.3%) |
| $150,000 or more | 580 (35.8%) | 555 (17.0%) |
| Total | 1,620 (100.0%) | 3,269 (100.0%) |
Property Value to Household Income Ratio in Zip Code 01746
| Value-to-Income Ratio | Without Mortgage | With Mortgage |
| Less than 2.0x | 249 (15.4%) | 184,917 (5,656.7%) |
| 2.0x to 2.9x | 375 (23.2%) | 547 (16.7%) |
| 3.0x to 3.9x | 158 (9.8%) | 1,072 (32.8%) |
| 4.0x or more | 792 (48.9%) | 648 (19.8%) |
| Total | 1,620 (100.0%) | 3,269 (100.0%) |
Real Estate Taxes by Mortgage Status in Zip Code 01746
| Property Taxes | Without Mortgage | With Mortgage |
| Less than $800 | 10 (0.6%) | 0 (0.0%) |
| $800 to $1,499 | 0 (0.0%) | 37 (1.1%) |
| $800 to $1,499 | 1,589 (98.1%) | 34 (1.0%) |
| Total | 1,620 (100.0%) | 3,269 (100.0%) |
Health & Disability in Zip Code 01746
Health Insurance Coverage by Age in Zip Code 01746
| Age Bracket | With Coverage | Without Coverage |
| Under 6 Years | 704 (98.3%) | 12 (1.7%) |
| 6 to 18 Years | 2,752 (98.9%) | 30 (1.1%) |
| 19 to 25 Years | 1,025 (100.0%) | 0 (0.0%) |
| 26 to 34 Years | 886 (87.9%) | 122 (12.1%) |
| 35 to 44 Years | 1,876 (99.1%) | 18 (0.9%) |
| 45 to 54 Years | 2,357 (100.0%) | 0 (0.0%) |
| 55 to 64 Years | 2,434 (97.8%) | 54 (2.2%) |
| 65 to 74 Years | 1,660 (100.0%) | 0 (0.0%) |
| 75 Years and older | 945 (100.0%) | 0 (0.0%) |
| Total | 14,639 (98.4%) | 236 (1.6%) |
Health Insurance Coverage by Citizenship Status in Zip Code 01746
| Citizenship Status | With Coverage | Without Coverage |
| Native Born | 704 (98.3%) | 12 (1.7%) |
| Foreign Born, Citizen | 2,752 (98.9%) | 30 (1.1%) |
| Foreign Born, not a Citizen | 1,025 (100.0%) | 0 (0.0%) |
Health Insurance Coverage by Household Income in Zip Code 01746
| Household Income | With Coverage | Without Coverage |
| Under $25,000 | 568 (100.0%) | 0 (0.0%) |
| $25,000 to $49,999 | 894 (95.4%) | 43 (4.6%) |
| $50,000 to $74,999 | 690 (98.3%) | 12 (1.7%) |
| $75,000 to $99,999 | 897 (99.3%) | 6 (0.7%) |
| $100,000 and over | 11,548 (98.5%) | 174 (1.5%) |
Public vs Private Health Insurance Coverage by Age in Zip Code 01746
| Age Bracket | Public Insurance | Private Insurance |
| Under 6 | 47 (6.6%) | 692 (96.7%) |
| 6 to 18 Years | 274 (9.9%) | 2,535 (91.1%) |
| 19 to 25 Years | 130 (12.7%) | 960 (93.7%) |
| 25 to 34 Years | 191 (19.0%) | 725 (71.9%) |
| 35 to 44 Years | 311 (16.4%) | 1,680 (88.7%) |
| 45 to 54 Years | 234 (9.9%) | 2,237 (94.9%) |
| 55 to 64 Years | 298 (12.0%) | 2,238 (89.9%) |
| 65 to 74 Years | 1,495 (90.1%) | 1,184 (71.3%) |
| 75 Years and over | 944 (99.9%) | 734 (77.7%) |
| Total | 3,924 (26.4%) | 12,985 (87.3%) |
Disability Status by Sex by Age in Zip Code 01746
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 4 (1.4%) |
| 5 to 17 Years | 64 (4.3%) | 2 (0.2%) |
| 18 to 34 Years | 93 (7.6%) | 79 (7.9%) |
| 35 to 64 Years | 151 (4.3%) | 153 (4.7%) |
| 65 to 74 Years | 122 (14.9%) | 64 (7.6%) |
| 75 Years and over | 205 (53.2%) | 167 (29.8%) |
Disability Class by Sex by Age in Zip Code 01746
Disability Class: Hearing Difficulty
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 0 (0.0%) | 0 (0.0%) |
| 18 to 34 Years | 22 (1.8%) | 0 (0.0%) |
| 35 to 64 Years | 28 (0.8%) | 48 (1.5%) |
| 65 to 74 Years | 42 (5.1%) | 0 (0.0%) |
| 75 Years and over | 136 (35.3%) | 90 (16.1%) |
Disability Class: Vision Difficulty
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 4 (1.4%) |
| 5 to 17 Years | 0 (0.0%) | 0 (0.0%) |
| 18 to 34 Years | 45 (3.7%) | 0 (0.0%) |
| 35 to 64 Years | 55 (1.6%) | 72 (2.2%) |
| 65 to 74 Years | 50 (6.1%) | 0 (0.0%) |
| 75 Years and over | 10 (2.6%) | 48 (8.6%) |
Disability Class: Cognitive Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 64 (4.3%) | 2 (0.2%) |
| 18 to 34 Years | 93 (7.6%) | 37 (3.7%) |
| 35 to 64 Years | 41 (1.2%) | 29 (0.9%) |
| 65 to 74 Years | 28 (3.4%) | 0 (0.0%) |
| 75 Years and over | 43 (11.2%) | 15 (2.7%) |
Disability Class: Ambulatory Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 0 (0.0%) | 2 (0.2%) |
| 18 to 34 Years | 45 (3.7%) | 0 (0.0%) |
| 35 to 64 Years | 42 (1.2%) | 39 (1.2%) |
| 65 to 74 Years | 36 (4.4%) | 64 (7.6%) |
| 75 Years and over | 53 (13.8%) | 100 (17.9%) |
Disability Class: Self-Care Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 0 (0.0%) | 2 (0.2%) |
| 18 to 34 Years | 22 (1.8%) | 0 (0.0%) |
| 35 to 64 Years | 15 (0.4%) | 0 (0.0%) |
| 65 to 74 Years | 8 (1.0%) | 0 (0.0%) |
| 75 Years and over | 2 (0.5%) | 53 (9.5%) |
Technology Access in Zip Code 01746
Computing Device Access in Zip Code 01746
| Device Type | # Households | % Households |
| Desktop or Laptop | 4,947 | 88.9% |
| Smartphone | 5,103 | 91.7% |
| Tablet | 4,333 | 77.9% |
| No Computing Device | 202 | 3.6% |
| Total | 5,562 | 100.0% |
Internet Access in Zip Code 01746
| Internet Type | # Households | % Households |
| Dial-Up Internet | 0 | 0.0% |
| Broadband Home | 4,781 | 86.0% |
| Cellular Data Only | 348 | 6.3% |
| Satellite Internet | 108 | 1.9% |
| No Internet | 327 | 5.9% |
| Total | 5,562 | 100.0% |
Common Questions
What is the Total Population of Zip Code 01746?
Total Population of Zip Code 01746 is 14,902.
What is the Total Male Population of Zip Code 01746?
Total Male Population of Zip Code 01746 is 7,693.
What is the Total Female Population of Zip Code 01746?
Total Female Population of Zip Code 01746 is 7,209.
What is the Ratio of Males per 100 Females in Zip Code 01746?
There are 106.71 Males per 100 Females in Zip Code 01746.
What is the Ratio of Females per 100 Males in Zip Code 01746?
There are 93.71 Females per 100 Males in Zip Code 01746.
What is the Median Population Age in Zip Code 01746?
Median Population Age in Zip Code 01746 is 45.1 Years.
What is the Average Family Size in Zip Code 01746
Average Family Size in Zip Code 01746 is 3.0 People.
What is the Average Household Size in Zip Code 01746
Average Household Size in Zip Code 01746 is 2.7 People.
What is Per Capita Income in Zip Code 01746?
Per Capita income in Zip Code 01746 is $71,055.
What is the Median Family Income in Zip Code 01746?
Median Family Income in Zip Code 01746 is $174,092.
What is the Median Household income in Zip Code 01746?
Median Household Income in Zip Code 01746 is $149,614.
What is Income or Wage Gap in Zip Code 01746?
Income or Wage Gap in Zip Code 01746 is 52.1%.
Women in Zip Code 01746 earn 47.9 cents for every dollar earned by a man.
What is Inequality or Gini Index in Zip Code 01746?
Inequality or Gini Index in Zip Code 01746 is 0.43.
How Large is the Labor Force in Zip Code 01746?
There are 8,694 People in the Labor Forcein in Zip Code 01746.
What is the Percentage of People in the Labor Force in Zip Code 01746?
72.3% of People are in the Labor Force in Zip Code 01746.
What is the Unemployment Rate in Zip Code 01746?
Unemployment Rate in Zip Code 01746 is 4.7%.