Zip Code 01945 Map & Demographics
Zip Code 01945 Map
Zip Code 01945 Overview
$90,924
PER CAPITA INCOME
$200,000
AVG FAMILY INCOME
$163,561
AVG HOUSEHOLD INCOME
40.9%
WAGE / INCOME GAP [ % ]
59.1¢/ $1
WAGE / INCOME GAP [ $ ]
0.48
INEQUALITY / GINI INDEX
20,373
TOTAL POPULATION
9,740
MALE POPULATION
10,633
FEMALE POPULATION
91.60
MALES / 100 FEMALES
109.17
FEMALES / 100 MALES
49.6
MEDIAN AGE
3.0
AVG FAMILY SIZE
2.5
AVG HOUSEHOLD SIZE
11,152
LABOR FORCE [ PEOPLE ]
65.9%
PERCENT IN LABOR FORCE
3.3%
UNEMPLOYMENT RATE
Zip Code 01945 Area Codes
Income in Zip Code 01945
Income Overview in Zip Code 01945
Per Capita Income in Zip Code 01945 is $90,924, while median incomes of families and households are $200,000 and $163,561 respectively.
| Characteristic | Number | Measure |
| Per Capita Income | 20,373 | $90,924 |
| Median Family Income | 6,006 | $200,000 |
| Mean Family Income | 6,006 | $261,608 |
| Median Household Income | 8,195 | $163,561 |
| Mean Household Income | 8,195 | $226,193 |
| Income Deficit | 6,006 | $0 |
| Wage / Income Gap (%) | 20,373 | 40.93% |
| Wage / Income Gap ($) | 20,373 | 59.07¢ per $1 |
| Gini / Inequality Index | 20,373 | 0.48 |
Earnings by Sex in Zip Code 01945
Average Earnings in Zip Code 01945 are $75,653, $99,167 for men and $58,581 for women, a difference of 40.9%.
| Sex | Number | Average Earnings |
| Male | 6,364 (52.9%) | $99,167 |
| Female | 5,666 (47.1%) | $58,581 |
| Total | 12,030 (100.0%) | $75,653 |
Earnings by Sex by Income Bracket in Zip Code 01945
The most common earnings brackets in Zip Code 01945 are $100,000+ for men (3,177 | 49.9%) and $100,000+ for women (1,556 | 27.5%).
| Income | Male | Female |
| $2,499 or less | 235 (3.7%) | 318 (5.6%) |
| $2,500 to $4,999 | 232 (3.6%) | 196 (3.5%) |
| $5,000 to $7,499 | 297 (4.7%) | 139 (2.5%) |
| $7,500 to $9,999 | 108 (1.7%) | 111 (2.0%) |
| $10,000 to $12,499 | 42 (0.7%) | 164 (2.9%) |
| $12,500 to $14,999 | 63 (1.0%) | 131 (2.3%) |
| $15,000 to $17,499 | 86 (1.3%) | 98 (1.7%) |
| $17,500 to $19,999 | 79 (1.2%) | 96 (1.7%) |
| $20,000 to $22,499 | 56 (0.9%) | 51 (0.9%) |
| $22,500 to $24,999 | 191 (3.0%) | 218 (3.8%) |
| $25,000 to $29,999 | 158 (2.5%) | 151 (2.7%) |
| $30,000 to $34,999 | 74 (1.2%) | 215 (3.8%) |
| $35,000 to $39,999 | 114 (1.8%) | 210 (3.7%) |
| $40,000 to $44,999 | 91 (1.4%) | 234 (4.1%) |
| $45,000 to $49,999 | 111 (1.7%) | 84 (1.5%) |
| $50,000 to $54,999 | 55 (0.9%) | 242 (4.3%) |
| $55,000 to $64,999 | 192 (3.0%) | 450 (7.9%) |
| $65,000 to $74,999 | 316 (5.0%) | 361 (6.4%) |
| $75,000 to $99,999 | 687 (10.8%) | 641 (11.3%) |
| $100,000+ | 3,177 (49.9%) | 1,556 (27.5%) |
| Total | 6,364 (100.0%) | 5,666 (100.0%) |
Earnings by Sex by Educational Attainment in Zip Code 01945
Average earnings in Zip Code 01945 are $121,797 for men and $65,612 for women, a difference of 46.1%. Men with an educational attainment of graduate degree enjoy the highest average annual earnings of $146,307, while those with college or associate's degree education earn the least with $46,842. Women with an educational attainment of graduate degree earn the most with the average annual earnings of $84,375, while those with high school diploma education have the smallest earnings of $31,875.
| Educational Attainment | Male Income | Female Income |
| Less than High School | $66,136 | $0 |
| High School Diploma | - | - |
| College or Associate's Degree | $46,842 | $39,951 |
| Bachelor's Degree | $134,107 | $69,410 |
| Graduate Degree | $146,307 | $84,375 |
| Total | $121,797 | $65,612 |
Family Income in Zip Code 01945
Family Income Brackets in Zip Code 01945
According to the Zip Code 01945 family income data, there are 3,003 families falling into the $200,000+ income range, which is the most common income bracket and makes up 50.0% of all families. Conversely, the less than $10,000 income bracket is the least frequent group with only 12 families (0.2%) belonging to this category.
| Income Bracket | # Families | % Families |
| Less than $10,000 | 12 | 0.2% |
| $10,000 to $14,999 | 42 | 0.7% |
| $15,000 to $24,999 | 48 | 0.8% |
| $25,000 to $34,999 | 96 | 1.6% |
| $35,000 to $49,999 | 288 | 4.8% |
| $50,000 to $74,999 | 414 | 6.9% |
| $75,000 to $99,999 | 360 | 6.0% |
| $100,000 to $149,999 | 949 | 15.8% |
| $150,000 to $199,999 | 781 | 13.0% |
| $200,000+ | 3,003 | 50.0% |
Family Income by Famaliy Size in Zip Code 01945
4-person families (1,399 | 23.3%) account for the highest median family income in Zip Code 01945 with $238,229 per family, while 2-person families (2,903 | 48.3%) have the highest median income of $85,503 per family member.
| Income Bracket | # Families | Median Income |
| 2-Person Families | 2,903 (48.3%) | $171,006 |
| 3-Person Families | 1,196 (19.9%) | $227,500 |
| 4-Person Families | 1,399 (23.3%) | $238,229 |
| 5-Person Families | 415 (6.9%) | $167,336 |
| 6-Person Families | 93 (1.5%) | $111,655 |
| 7+ Person Families | 0 (0.0%) | $0 |
| Total | 6,006 (100.0%) | $200,000 |
Family Income by Number of Earners in Zip Code 01945
The median family income in Zip Code 01945 is $200,000, with families comprising 2 earners (2,793) having the highest median family income of $243,882, while families with no earners (652) have the lowest median family income of $84,219, accounting for 46.5% and 10.9% of families, respectively.
| Number of Earners | # Families | Median Income |
| No Earners | 652 (10.9%) | $84,219 |
| 1 Earner | 1,588 (26.4%) | $146,034 |
| 2 Earners | 2,793 (46.5%) | $243,882 |
| 3+ Earners | 973 (16.2%) | $234,375 |
| Total | 6,006 (100.0%) | $200,000 |
Household Income in Zip Code 01945
Household Income Brackets in Zip Code 01945
With 3,401 households falling in the category, the $200,000+ income range is the most frequent in Zip Code 01945, accounting for 41.5% of all households. In contrast, only 139 households (1.7%) fall into the $10,000 to $14,999 income bracket, making it the least populous group.
| Income Bracket | # Households | % Households |
| Less than $10,000 | 164 | 2.0% |
| $10,000 to $14,999 | 139 | 1.7% |
| $15,000 to $24,999 | 303 | 3.7% |
| $25,000 to $34,999 | 197 | 2.4% |
| $35,000 to $49,999 | 541 | 6.6% |
| $50,000 to $74,999 | 590 | 7.2% |
| $75,000 to $99,999 | 623 | 7.6% |
| $100,000 to $149,999 | 1,262 | 15.4% |
| $150,000 to $199,999 | 975 | 11.9% |
| $200,000+ | 3,401 | 41.5% |
Household Income by Householder Age in Zip Code 01945
The median household income in Zip Code 01945 is $163,561, with the highest median household income of $211,891 found in the 45 to 64 years age bracket for the primary householder. A total of 3,971 households (48.5%) fall into this category. Meanwhile, the 65+ years age bracket for the primary householder has the lowest median household income of $97,917, with 2,784 households (34.0%) in this group.
| Income Bracket | # Households | Median Income |
| 15 to 24 Years | 71 (0.9%) | $111,047 |
| 25 to 44 Years | 1,369 (16.7%) | $191,336 |
| 45 to 64 Years | 3,971 (48.5%) | $211,891 |
| 65+ Years | 2,784 (34.0%) | $97,917 |
| Total | 8,195 (100.0%) | $163,561 |
Poverty in Zip Code 01945
Income Below Poverty by Sex and Age in Zip Code 01945
With 2.2% poverty level for males and 3.7% for females among the residents of Zip Code 01945, 65 to 74 year old males and 15 year old females are the most vulnerable to poverty, with 60 males (4.8%) and 23 females (12.7%) 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 | 13 (2.3%) | 24 (3.2%) |
| 12 to 14 Years | 18 (2.9%) | 0 (0.0%) |
| 15 Years | 0 (0.0%) | 23 (12.7%) |
| 16 and 17 Years | 21 (3.7%) | 7 (1.9%) |
| 18 to 24 Years | 0 (0.0%) | 18 (3.1%) |
| 25 to 34 Years | 0 (0.0%) | 0 (0.0%) |
| 35 to 44 Years | 0 (0.0%) | 7 (0.6%) |
| 45 to 54 Years | 25 (1.5%) | 88 (5.3%) |
| 55 to 64 Years | 73 (4.2%) | 61 (3.1%) |
| 65 to 74 Years | 60 (4.8%) | 67 (5.2%) |
| 75 Years and over | 4 (0.5%) | 93 (8.4%) |
| Total | 214 (2.2%) | 388 (3.7%) |
Income Above Poverty by Sex and Age in Zip Code 01945
According to the poverty statistics in Zip Code 01945, 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 | 223 (100.0%) | 337 (100.0%) |
| 5 Years | 50 (100.0%) | 101 (100.0%) |
| 6 to 11 Years | 555 (97.7%) | 739 (96.9%) |
| 12 to 14 Years | 600 (97.1%) | 479 (100.0%) |
| 15 Years | 131 (100.0%) | 158 (87.3%) |
| 16 and 17 Years | 545 (96.3%) | 359 (98.1%) |
| 18 to 24 Years | 734 (100.0%) | 557 (96.9%) |
| 25 to 34 Years | 653 (100.0%) | 641 (100.0%) |
| 35 to 44 Years | 788 (100.0%) | 1,100 (99.4%) |
| 45 to 54 Years | 1,588 (98.5%) | 1,561 (94.7%) |
| 55 to 64 Years | 1,652 (95.8%) | 1,887 (96.9%) |
| 65 to 74 Years | 1,191 (95.2%) | 1,219 (94.8%) |
| 75 Years and over | 804 (99.5%) | 1,013 (91.6%) |
| Total | 9,514 (97.8%) | 10,151 (96.3%) |
Income Below Poverty Among Married-Couple Families in Zip Code 01945
The poverty statistics for married-couple families in Zip Code 01945 show that 0.4% or 21 of the total 5,135 families live below the poverty line. Families with 3 or 4 children have the highest poverty rate of 2.1%, comprising of 7 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 | 3,072 (99.6%) | 14 (0.4%) |
| 1 or 2 Children | 1,723 (100.0%) | 0 (0.0%) |
| 3 or 4 Children | 319 (97.9%) | 7 (2.1%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 5,114 (99.6%) | 21 (0.4%) |
Income Below Poverty Among Single-Parent Households in Zip Code 01945
According to the poverty data in Zip Code 01945, 7.2% or 16 single-father households and 8.9% or 58 single-mother households are living below the poverty line. Among single-father households, those with no children have the highest poverty rate, with 16 households (14.3%) experiencing poverty. Likewise, among single-mother households, those with 3 or 4 children have the highest poverty rate, with 13 households (19.7%) falling below the poverty line.
| Children | Single Father | Single Mother |
| No Children | 16 (14.3%) | 27 (9.3%) |
| 1 or 2 Children | 0 (0.0%) | 18 (6.2%) |
| 3 or 4 Children | 0 (0.0%) | 13 (19.7%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 16 (7.2%) | 58 (8.9%) |
Income Below Poverty Among Married-Couple vs Single-Parent Households in Zip Code 01945
The poverty data for Zip Code 01945 shows that 21 of the married-couple family households (0.4%) and 74 of the single-parent households (8.5%) are living below the poverty level. Within the married-couple family households, those with 3 or 4 children have the highest poverty rate, with 7 households (2.1%) falling below the poverty line. Among the single-parent households, those with 3 or 4 children have the highest poverty rate, with 13 household (19.7%) living below poverty.
| Children | Married-Couple Families | Single-Parent Households |
| No Children | 14 (0.4%) | 43 (10.7%) |
| 1 or 2 Children | 0 (0.0%) | 18 (4.5%) |
| 3 or 4 Children | 7 (2.1%) | 13 (19.7%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 21 (0.4%) | 74 (8.5%) |
Race in Zip Code 01945
The most populous races in Zip Code 01945 are White / Caucasian (19,437 | 95.4%), Hispanic or Latino (705 | 3.5%), and Two or more Races (305 | 1.5%).
| Race | # Population | % Population |
| Asian | 204 | 1.0% |
| Black / African American | 228 | 1.1% |
| Hawaiian / Pacific | 0 | 0.0% |
| Hispanic or Latino | 705 | 3.5% |
| Native / Alaskan | 111 | 0.5% |
| White / Caucasian | 19,437 | 95.4% |
| Two or more Races | 305 | 1.5% |
| Some other Race | 88 | 0.4% |
| Total | 20,373 | 100.0% |
Ancestry in Zip Code 01945
The most populous ancestries reported in Zip Code 01945 are Irish (5,887 | 28.9%), English (3,091 | 15.2%), Italian (2,806 | 13.8%), German (1,927 | 9.5%), and Polish (1,348 | 6.6%), together accounting for 73.9% of all Zip Code 01945 residents.
| Ancestry | # Population | % Population |
| African | 162 | 0.8% |
| Alaska Native | 13 | 0.1% |
| American | 947 | 4.6% |
| Arab | 123 | 0.6% |
| Argentinean | 29 | 0.1% |
| Armenian | 25 | 0.1% |
| Austrian | 114 | 0.6% |
| Basque | 15 | 0.1% |
| Belgian | 14 | 0.1% |
| Bhutanese | 40 | 0.2% |
| Brazilian | 114 | 0.6% |
| British | 115 | 0.6% |
| Bulgarian | 40 | 0.2% |
| Burmese | 37 | 0.2% |
| Canadian | 77 | 0.4% |
| Celtic | 9 | 0.0% |
| Central American | 49 | 0.2% |
| Central American Indian | 15 | 0.1% |
| Colombian | 15 | 0.1% |
| Costa Rican | 29 | 0.1% |
| Cuban | 38 | 0.2% |
| Czech | 78 | 0.4% |
| Danish | 90 | 0.4% |
| Dominican | 272 | 1.3% |
| Dutch | 289 | 1.4% |
| Eastern European | 310 | 1.5% |
| English | 3,091 | 15.2% |
| European | 247 | 1.2% |
| Finnish | 43 | 0.2% |
| French | 642 | 3.2% |
| French Canadian | 239 | 1.2% |
| German | 1,927 | 9.5% |
| Greek | 452 | 2.2% |
| Guatemalan | 20 | 0.1% |
| Hungarian | 68 | 0.3% |
| Indian (Asian) | 108 | 0.5% |
| Iranian | 24 | 0.1% |
| Irish | 5,887 | 28.9% |
| Italian | 2,806 | 13.8% |
| Japanese | 23 | 0.1% |
| Korean | 58 | 0.3% |
| Laotian | 22 | 0.1% |
| Latvian | 108 | 0.5% |
| Lebanese | 33 | 0.2% |
| Lithuanian | 170 | 0.8% |
| Mexican | 8 | 0.0% |
| Moroccan | 75 | 0.4% |
| Northern European | 33 | 0.2% |
| Norwegian | 139 | 0.7% |
| Peruvian | 16 | 0.1% |
| Polish | 1,348 | 6.6% |
| Portuguese | 218 | 1.1% |
| Puerto Rican | 111 | 0.5% |
| Romanian | 14 | 0.1% |
| Russian | 891 | 4.4% |
| Scandinavian | 35 | 0.2% |
| Scotch-Irish | 126 | 0.6% |
| Scottish | 742 | 3.6% |
| Serbian | 27 | 0.1% |
| Slavic | 15 | 0.1% |
| Slovak | 18 | 0.1% |
| South American | 60 | 0.3% |
| South American Indian | 16 | 0.1% |
| Spaniard | 71 | 0.4% |
| Spanish | 51 | 0.3% |
| Sri Lankan | 26 | 0.1% |
| Subsaharan African | 162 | 0.8% |
| Swedish | 435 | 2.1% |
| Swiss | 114 | 0.6% |
| Thai | 33 | 0.2% |
| Ukrainian | 117 | 0.6% |
| Welsh | 80 | 0.4% | View All 72 Rows |
Immigrants in Zip Code 01945
The most numerous immigrant groups reported in Zip Code 01945 came from Europe (936 | 4.6%), Eastern Europe (416 | 2.0%), Russia (268 | 1.3%), Asia (257 | 1.3%), and Northern Europe (252 | 1.2%), together accounting for 10.4% of all Zip Code 01945 residents.
| Immigration Origin | # Population | % Population |
| Africa | 64 | 0.3% |
| Argentina | 42 | 0.2% |
| Asia | 257 | 1.3% |
| Brazil | 33 | 0.2% |
| Bulgaria | 39 | 0.2% |
| Canada | 80 | 0.4% |
| Caribbean | 78 | 0.4% |
| Central America | 29 | 0.1% |
| China | 90 | 0.4% |
| Colombia | 15 | 0.1% |
| Costa Rica | 29 | 0.1% |
| Dominican Republic | 78 | 0.4% |
| Eastern Asia | 102 | 0.5% |
| Eastern Europe | 416 | 2.0% |
| England | 74 | 0.4% |
| Europe | 936 | 4.6% |
| Germany | 22 | 0.1% |
| Greece | 76 | 0.4% |
| India | 82 | 0.4% |
| Indonesia | 18 | 0.1% |
| Iran | 10 | 0.1% |
| Ireland | 40 | 0.2% |
| Italy | 82 | 0.4% |
| Japan | 12 | 0.1% |
| Latin America | 213 | 1.1% |
| Netherlands | 35 | 0.2% |
| Northern Africa | 13 | 0.1% |
| Northern Europe | 252 | 1.2% |
| Norway | 9 | 0.0% |
| Peru | 16 | 0.1% |
| Philippines | 15 | 0.1% |
| Poland | 9 | 0.0% |
| Russia | 268 | 1.3% |
| South America | 106 | 0.5% |
| South Central Asia | 92 | 0.4% |
| South Eastern Asia | 52 | 0.3% |
| Southern Europe | 191 | 0.9% |
| Spain | 33 | 0.2% |
| Sweden | 33 | 0.2% |
| Switzerland | 20 | 0.1% |
| Thailand | 6 | 0.0% |
| Turkey | 11 | 0.1% |
| Ukraine | 73 | 0.4% |
| Vietnam | 13 | 0.1% |
| Western Asia | 11 | 0.1% |
| Western Europe | 77 | 0.4% | View All 46 Rows |
Sex and Age in Zip Code 01945
Sex and Age in Zip Code 01945
The most populous age groups in Zip Code 01945 are 50 to 54 Years (936 | 9.6%) for men and 55 to 59 Years (1,128 | 10.6%) for women.
| Age Bracket | Male | Female |
| Under 5 Years | 223 (2.3%) | 337 (3.2%) |
| 5 to 9 Years | 463 (4.8%) | 497 (4.7%) |
| 10 to 14 Years | 773 (7.9%) | 846 (8.0%) |
| 15 to 19 Years | 908 (9.3%) | 816 (7.7%) |
| 20 to 24 Years | 523 (5.4%) | 306 (2.9%) |
| 25 to 29 Years | 181 (1.9%) | 295 (2.8%) |
| 30 to 34 Years | 472 (4.9%) | 346 (3.3%) |
| 35 to 39 Years | 248 (2.5%) | 282 (2.6%) |
| 40 to 44 Years | 540 (5.5%) | 825 (7.8%) |
| 45 to 49 Years | 677 (7.0%) | 774 (7.3%) |
| 50 to 54 Years | 936 (9.6%) | 875 (8.2%) |
| 55 to 59 Years | 857 (8.8%) | 1,128 (10.6%) |
| 60 to 64 Years | 868 (8.9%) | 832 (7.8%) |
| 65 to 69 Years | 779 (8.0%) | 728 (6.9%) |
| 70 to 74 Years | 472 (4.9%) | 576 (5.4%) |
| 75 to 79 Years | 400 (4.1%) | 568 (5.3%) |
| 80 to 84 Years | 179 (1.8%) | 194 (1.8%) |
| 85 Years and over | 241 (2.5%) | 408 (3.8%) |
| Total | 9,740 (100.0%) | 10,633 (100.0%) |
Families and Households in Zip Code 01945
Median Family Size in Zip Code 01945
The median family size in Zip Code 01945 is 2.95 persons per family, with single female/mother families (648 | 10.8%) accounting for the largest median family size of 2.98 persons per family. On the other hand, single male/father families (223 | 3.7%) represent the smallest median family size with 2.84 persons per family.
| Family Type | # Families | Family Size |
| Married-Couple | 5,135 (85.5%) | 2.96 |
| Single Male/Father | 223 (3.7%) | 2.84 |
| Single Female/Mother | 648 (10.8%) | 2.98 |
| Total Families | 6,006 (100.0%) | 2.95 |
Median Household Size in Zip Code 01945
The median household size in Zip Code 01945 is 2.47 persons per household, with single female/mother households (648 | 7.9%) accounting for the largest median household size of 3.08 persons per household. non-family households (2,189 | 26.7%) represent the smallest median household size with 1.10 persons per household.
| Household Type | # Households | Household Size |
| Married-Couple | 5,135 (62.7%) | 2.96 |
| Single Male/Father | 223 (2.7%) | 3.02 |
| Single Female/Mother | 648 (7.9%) | 3.08 |
| Non-family | 2,189 (26.7%) | 1.10 |
| Total Households | 8,195 (100.0%) | 2.47 |
Household Size by Marriage Status in Zip Code 01945
Out of a total of 8,195 households in Zip Code 01945, 6,006 (73.3%) are family households, while 2,189 (26.7%) are nonfamily households. The most numerous type of family households are 2-person households, comprising 2,828, and the most common type of nonfamily households are 1-person households, comprising 1,982.
| Household Size | Family Households | Nonfamily Households |
| 1-Person Households | - | 1,982 (24.2%) |
| 2-Person Households | 2,828 (34.5%) | 207 (2.5%) |
| 3-Person Households | 1,232 (15.0%) | 0 (0.0%) |
| 4-Person Households | 1,419 (17.3%) | 0 (0.0%) |
| 5-Person Households | 434 (5.3%) | 0 (0.0%) |
| 6-Person Households | 93 (1.1%) | 0 (0.0%) |
| 7+ Person Households | 0 (0.0%) | 0 (0.0%) |
| Total | 6,006 (73.3%) | 2,189 (26.7%) |
Female Fertility in Zip Code 01945
Fertility by Age in Zip Code 01945
Average fertility rate in Zip Code 01945 is 25.0 births per 1,000 women. Women in the age bracket of 20 to 34 years have the highest fertility rate with 46.0 births per 1,000 women. Women in the age bracket of 35 to 50 years acount for 53.7% 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 | 44 (46.3%) | 46.0 |
| 35 to 50 years | 51 (53.7%) | 25.0 |
| Total | 95 (100.0%) | 25.0 |
Fertility by Age by Marriage Status in Zip Code 01945
| Age Bracket | Married | Unmarried |
| 15 to 19 years | 0 (0.0%) | 0 (0.0%) |
| 20 to 34 years | 44 (100.0%) | 0 (0.0%) |
| 35 to 50 years | 51 (100.0%) | 0 (0.0%) |
| Total | 95 (100.0%) | 0 (0.0%) |
Fertility by Education in Zip Code 01945
| 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 | 10 (10.5%) | 21.0 |
| Bachelor's Degree | 17 (17.9%) | 13.0 |
| Graduate Degree | 68 (71.6%) | 69.0 |
| Total | 95 (100.0%) | 25.0 |
Fertility by Education by Marriage Status in Zip Code 01945
| 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 | 10 (100.0%) | 0 (0.0%) |
| Bachelor's Degree | 17 (100.0%) | 0 (0.0%) |
| Graduate Degree | 68 (100.0%) | 0 (0.0%) |
| Total | 95 (100.0%) | 0 (0.0%) |
Employment Characteristics in Zip Code 01945
Employment by Class of Employer in Zip Code 01945
Among the 10,306 employed individuals in Zip Code 01945, private company employees (6,263 | 60.8%), not-for-profit organizations (1,234 | 12.0%), and self-employed (not incorporated) (1,049 | 10.2%) make up the most common classes of employment.
| Employer Class | # Employees | % Employees |
| Private Company Employees | 6,263 | 60.8% |
| Self-Employed (Incorporated) | 668 | 6.5% |
| Self-Employed (Not Incorporated) | 1,049 | 10.2% |
| Not-for-profit Organizations | 1,234 | 12.0% |
| Local Government Employees | 539 | 5.2% |
| State Government Employees | 365 | 3.5% |
| Federal Government Employees | 167 | 1.6% |
| Unpaid Family Workers | 21 | 0.2% |
| Total | 10,306 | 100.0% |
Employment Status by Age in Zip Code 01945
According to the labor force statistics for Zip Code 01945, out of the total population over 16 years of age (16,922), 65.9% or 11,152 individuals are in the labor force, with 3.3% or 368 of them unemployed. The age group with the highest labor force participation rate is 30 to 34 years, with 96.3% or 788 individuals in the labor force. Within the labor force, the 20 to 24 years age range has the highest percentage of unemployed individuals, with 21.9% or 141 of them being unemployed.
| Age Bracket | In Labor Force | Unemployed |
| 16 to 19 Years | 332 (23.5%) | 7 (2.1%) |
| 20 to 24 Years | 645 (77.8%) | 141 (21.9%) |
| 25 to 29 Years | 426 (89.5%) | 21 (4.9%) |
| 30 to 34 Years | 788 (96.3%) | 18 (2.3%) |
| 35 to 44 Years | 1,639 (86.5%) | 33 (2.0%) |
| 45 to 54 Years | 2,871 (88.0%) | 46 (1.6%) |
| 55 to 59 Years | 1,638 (82.5%) | 16 (1.0%) |
| 60 to 64 Years | 1,358 (79.9%) | 52 (3.8%) |
| 65 to 74 Years | 1,239 (48.5%) | 30 (2.4%) |
| 75 Years and over | 217 (10.9%) | 0 (0.0%) |
| Total | 11,152 (65.9%) | 368 (3.3%) |
Employment Status by Educational Attainment in Zip Code 01945
According to labor force statistics for Zip Code 01945, 86.0% of individuals (8,717) out of the total population between 25 and 64 years of age (10,136) are in the labor force, with 2.1% or 183 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 89.3% or 67 individuals in the labor force. Within the labor force, individuals with bachelor's degree or higher education have the highest percentage of unemployment, with 2.4% or 172 of them being unemployed.
| Educational Attainment | In Labor Force | Unemployed |
| Less than High School | 67 (89.3%) | 0 (0.0%) |
| High School Diploma | 533 (84.1%) | 13 (2.1%) |
| College / Associate Degree | 964 (73.2%) | 0 (0.0%) |
| Bachelor's Degree or higher | 7,153 (88.2%) | 195 (2.4%) |
| Total | 8,717 (86.0%) | 213 (2.1%) |
Employment Occupations by Sex in Zip Code 01945
Management, Business, Science and Arts Occupations
The most common Management, Business, Science and Arts occupations in Zip Code 01945 are Management (2,178 | 20.2%), Community & Social Service (1,781 | 16.5%), Business & Financial (1,101 | 10.2%), Health Diagnosing & Treating (938 | 8.7%), and Computers, Engineering & Science (913 | 8.5%).
Management, Business, Science and Arts Occupations by Sex
Within the Management, Business, Science and Arts occupations in Zip Code 01945, the most male-oriented occupations are Architecture & Engineering (78.8%), Computers & Mathematics (67.5%), and Management (64.6%), while the most female-oriented occupations are Education, Arts & Media (100.0%), Education Instruction & Library (73.9%), and Community & Social Service (70.5%).
| Occupation | Male | Female |
| Management | 1,407 (64.6%) | 771 (35.4%) |
| Business & Financial | 508 (46.1%) | 593 (53.9%) |
| Computers, Engineering & Science | 587 (64.3%) | 326 (35.7%) |
| Computers & Mathematics | 313 (67.5%) | 151 (32.5%) |
| Architecture & Engineering | 223 (78.8%) | 60 (21.2%) |
| Life, Physical & Social Science | 51 (30.7%) | 115 (69.3%) |
| Community & Social Service | 525 (29.5%) | 1,256 (70.5%) |
| Education, Arts & Media | 0 (0.0%) | 256 (100.0%) |
| Legal Services & Support | 163 (48.7%) | 172 (51.3%) |
| Education Instruction & Library | 210 (26.1%) | 595 (73.9%) |
| Arts, Media & Entertainment | 152 (39.5%) | 233 (60.5%) |
| Health Diagnosing & Treating | 480 (51.2%) | 458 (48.8%) |
| Health Technologists | 412 (53.9%) | 352 (46.1%) |
| Total (Category) | 3,507 (50.7%) | 3,404 (49.2%) |
| Total (Overall) | 5,648 (52.4%) | 5,139 (47.6%) |
Services Occupations
The most common Services occupations in Zip Code 01945 are Healthcare Support (489 | 4.5%), Food Preparation & Serving (276 | 2.6%), Personal Care & Service (167 | 1.5%), Security & Protection (158 | 1.5%), and Law Enforcement (94 | 0.9%).
Services Occupations by Sex
Within the Services occupations in Zip Code 01945, the most male-oriented occupations are Law Enforcement (88.3%), Food Preparation & Serving (85.1%), and Security & Protection (71.5%), while the most female-oriented occupations are Personal Care & Service (85.6%), Healthcare Support (81.4%), and Cleaning & Maintenance (63.8%).
| Occupation | Male | Female |
| Healthcare Support | 91 (18.6%) | 398 (81.4%) |
| Security & Protection | 113 (71.5%) | 45 (28.5%) |
| Firefighting & Prevention | 30 (46.9%) | 34 (53.1%) |
| Law Enforcement | 83 (88.3%) | 11 (11.7%) |
| Food Preparation & Serving | 235 (85.1%) | 41 (14.9%) |
| Cleaning & Maintenance | 25 (36.2%) | 44 (63.8%) |
| Personal Care & Service | 24 (14.4%) | 143 (85.6%) |
| Total (Category) | 488 (42.1%) | 671 (57.9%) |
| Total (Overall) | 5,648 (52.4%) | 5,139 (47.6%) |
Sales and Office Occupations
The most common Sales and Office occupations in Zip Code 01945 are Sales & Related (1,324 | 12.3%), and Office & Administration (616 | 5.7%).
Sales and Office Occupations by Sex
| Occupation | Male | Female |
| Sales & Related | 747 (56.4%) | 577 (43.6%) |
| Office & Administration | 167 (27.1%) | 449 (72.9%) |
| Total (Category) | 914 (47.1%) | 1,026 (52.9%) |
| Total (Overall) | 5,648 (52.4%) | 5,139 (47.6%) |
Natural Resources, Construction and Maintenance Occupations
The most common Natural Resources, Construction and Maintenance occupations in Zip Code 01945 are Construction & Extraction (332 | 3.1%), Installation, Maintenance & Repair (73 | 0.7%), and Farming, Fishing & Forestry (19 | 0.2%).
Natural Resources, Construction and Maintenance Occupations by Sex
| Occupation | Male | Female |
| Farming, Fishing & Forestry | 19 (100.0%) | 0 (0.0%) |
| Construction & Extraction | 310 (93.4%) | 22 (6.6%) |
| Installation, Maintenance & Repair | 60 (82.2%) | 13 (17.8%) |
| Total (Category) | 389 (91.7%) | 35 (8.3%) |
| Total (Overall) | 5,648 (52.4%) | 5,139 (47.6%) |
Production, Transportation and Moving Occupations
The most common Production, Transportation and Moving occupations in Zip Code 01945 are Transportation (184 | 1.7%), Material Moving (136 | 1.3%), and Production (33 | 0.3%).
Production, Transportation and Moving Occupations by Sex
| Occupation | Male | Female |
| Production | 33 (100.0%) | 0 (0.0%) |
| Transportation | 181 (98.4%) | 3 (1.6%) |
| Material Moving | 136 (100.0%) | 0 (0.0%) |
| Total (Category) | 350 (99.2%) | 3 (0.9%) |
| Total (Overall) | 5,648 (52.4%) | 5,139 (47.6%) |
Employment Industries by Sex in Zip Code 01945
Employment Industries in Zip Code 01945
The major employment industries in Zip Code 01945 include Health Care & Social Assistance (1,721 | 16.0%), Professional & Scientific (1,671 | 15.5%), Finance & Insurance (1,212 | 11.2%), Educational Services (975 | 9.0%), and Retail Trade (936 | 8.7%).
Employment Industries by Sex in Zip Code 01945
The Zip Code 01945 industries that see more men than women are Agriculture, Fishing & Hunting (100.0%), Transportation & Warehousing (83.0%), and Construction (76.2%), whereas the industries that tend to have a higher number of women are Educational Services (74.7%), Arts, Entertainment & Recreation (66.8%), and Health Care & Social Assistance (66.4%).
| Industry | Male | Female |
| Agriculture, Fishing & Hunting | 39 (100.0%) | 0 (0.0%) |
| Mining, Quarrying, & Extraction | 0 (0.0%) | 0 (0.0%) |
| Construction | 652 (76.2%) | 204 (23.8%) |
| Manufacturing | 281 (62.0%) | 172 (38.0%) |
| Wholesale Trade | 115 (71.4%) | 46 (28.6%) |
| Retail Trade | 489 (52.2%) | 447 (47.8%) |
| Transportation & Warehousing | 273 (83.0%) | 56 (17.0%) |
| Utilities | 81 (74.3%) | 28 (25.7%) |
| Information | 208 (58.9%) | 145 (41.1%) |
| Finance & Insurance | 775 (63.9%) | 437 (36.1%) |
| Real Estate, Rental & Leasing | 128 (42.9%) | 170 (57.1%) |
| Professional & Scientific | 901 (53.9%) | 770 (46.1%) |
| Enterprise Management | 0 (0.0%) | 0 (0.0%) |
| Administrative & Support | 264 (74.4%) | 91 (25.6%) |
| Educational Services | 247 (25.3%) | 728 (74.7%) |
| Health Care & Social Assistance | 579 (33.6%) | 1,142 (66.4%) |
| Arts, Entertainment & Recreation | 124 (33.2%) | 250 (66.8%) |
| Accommodation & Food Services | 191 (66.1%) | 98 (33.9%) |
| Public Administration | 242 (59.2%) | 167 (40.8%) |
| Total | 5,648 (52.4%) | 5,139 (47.6%) |
Education in Zip Code 01945
School Enrollment in Zip Code 01945
The most common levels of schooling among the 5,061 students in Zip Code 01945 are high school (1,599 | 31.6%), middle school (1,385 | 27.4%), and elementary school (789 | 15.6%).
| School Level | # Students | % Students |
| Nursery / Preschool | 337 | 6.7% |
| Kindergarten | 127 | 2.5% |
| Elementary School | 789 | 15.6% |
| Middle School | 1,385 | 27.4% |
| High School | 1,599 | 31.6% |
| College / Undergraduate | 629 | 12.4% |
| Graduate / Professional | 195 | 3.8% |
| Total | 5,061 | 100.0% |
School Enrollment by Age by Funding Source in Zip Code 01945
Out of a total of 5,061 students who are enrolled in schools in Zip Code 01945, 1,291 (25.5%) attend a private institution, while the remaining 3,770 (74.5%) are enrolled in public schools. The age group of 35 years and over has the highest likelihood of being enrolled in private schools, with 137 (52.9% 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 752 (80.9% in the age bracket) attending a public institution.
| Age Bracket | Public School | Private School |
| 3 to 4 Year Olds | 127 (63.8%) | 72 (36.2%) |
| 5 to 9 Year Old | 752 (80.9%) | 177 (19.1%) |
| 10 to 14 Year Olds | 1,273 (78.6%) | 346 (21.4%) |
| 15 to 17 Year Olds | 983 (79.5%) | 253 (20.5%) |
| 18 to 19 Year Olds | 235 (57.9%) | 171 (42.1%) |
| 20 to 24 Year Olds | 231 (66.8%) | 115 (33.2%) |
| 25 to 34 Year Olds | 48 (71.6%) | 19 (28.4%) |
| 35 Years and over | 122 (47.1%) | 137 (52.9%) |
| Total | 3,770 (74.5%) | 1,291 (25.5%) |
Educational Attainment by Field of Study in Zip Code 01945
Business (2,219 | 18.3%), social sciences (1,871 | 15.4%), education (1,052 | 8.7%), science & technology (1,041 | 8.6%), and literature & languages (766 | 6.3%) are the most common fields of study among 12,133 individuals in Zip Code 01945 who have obtained a bachelor's degree or higher.
| Field of Study | # Graduates | % Graduates |
| Computers & Mathematics | 404 | 3.3% |
| Bio, Nature & Agricultural | 670 | 5.5% |
| Physical & Health Sciences | 466 | 3.8% |
| Psychology | 577 | 4.8% |
| Social Sciences | 1,871 | 15.4% |
| Engineering | 731 | 6.0% |
| Multidisciplinary Studies | 109 | 0.9% |
| Science & Technology | 1,041 | 8.6% |
| Business | 2,219 | 18.3% |
| Education | 1,052 | 8.7% |
| Literature & Languages | 766 | 6.3% |
| Liberal Arts & History | 597 | 4.9% |
| Visual & Performing Arts | 734 | 6.0% |
| Communications | 374 | 3.1% |
| Arts & Humanities | 522 | 4.3% |
| Total | 12,133 | 100.0% |
Transportation & Commute in Zip Code 01945
Vehicle Availability by Sex in Zip Code 01945
The most prevalent vehicle ownership categories in Zip Code 01945 are males with 2 vehicles (2,736, accounting for 49.8%) and females with 2 vehicles (2,282, making up 56.8%).
| Vehicles Available | Male | Female |
| No Vehicle | 85 (1.5%) | 35 (0.7%) |
| 1 Vehicle | 556 (10.1%) | 975 (20.3%) |
| 2 Vehicles | 2,736 (49.8%) | 2,282 (47.4%) |
| 3 Vehicles | 1,611 (29.3%) | 1,244 (25.8%) |
| 4 Vehicles | 437 (8.0%) | 238 (4.9%) |
| 5 or more Vehicles | 66 (1.2%) | 41 (0.9%) |
| Total | 5,491 (100.0%) | 4,815 (100.0%) |
Commute Time in Zip Code 01945
The most frequently occuring commute durations in Zip Code 01945 are 60 to 89 minutes (1,423 commuters, 19.0%), 5 to 9 minutes (1,023 commuters, 13.7%), and 10 to 14 minutes (1,002 commuters, 13.4%).
| Commute Time | # Commuters | % Commuters |
| Less than 5 Minutes | 363 | 4.9% |
| 5 to 9 Minutes | 1,023 | 13.7% |
| 10 to 14 Minutes | 1,002 | 13.4% |
| 15 to 19 Minutes | 627 | 8.4% |
| 20 to 24 Minutes | 497 | 6.7% |
| 25 to 29 Minutes | 237 | 3.2% |
| 30 to 34 Minutes | 650 | 8.7% |
| 35 to 39 Minutes | 176 | 2.4% |
| 40 to 44 Minutes | 198 | 2.6% |
| 45 to 59 Minutes | 900 | 12.0% |
| 60 to 89 Minutes | 1,423 | 19.0% |
| 90 or more Minutes | 377 | 5.0% |
Commute Time by Sex in Zip Code 01945
The most common commute times in Zip Code 01945 are 60 to 89 minutes (850 commuters, 21.2%) for males and 60 to 89 minutes (573 commuters, 16.6%) for females.
| Commute Time | Male | Female |
| Less than 5 Minutes | 151 (3.8%) | 212 (6.1%) |
| 5 to 9 Minutes | 474 (11.8%) | 549 (15.9%) |
| 10 to 14 Minutes | 595 (14.8%) | 407 (11.8%) |
| 15 to 19 Minutes | 308 (7.7%) | 319 (9.2%) |
| 20 to 24 Minutes | 256 (6.4%) | 241 (7.0%) |
| 25 to 29 Minutes | 75 (1.9%) | 162 (4.7%) |
| 30 to 34 Minutes | 377 (9.4%) | 273 (7.9%) |
| 35 to 39 Minutes | 85 (2.1%) | 91 (2.6%) |
| 40 to 44 Minutes | 117 (2.9%) | 81 (2.3%) |
| 45 to 59 Minutes | 522 (13.0%) | 378 (10.9%) |
| 60 to 89 Minutes | 850 (21.2%) | 573 (16.6%) |
| 90 or more Minutes | 207 (5.1%) | 170 (4.9%) |
Time of Departure to Work by Sex in Zip Code 01945
The most frequent times of departure to work in Zip Code 01945 are 7:00 AM to 7:29 AM (977, 24.3%) for males and 7:30 AM to 7:59 AM (592, 17.1%) for females.
| Time of Departure | Male | Female |
| 12:00 AM to 4:59 AM | 66 (1.6%) | 0 (0.0%) |
| 5:00 AM to 5:29 AM | 105 (2.6%) | 50 (1.5%) |
| 5:30 AM to 5:59 AM | 134 (3.3%) | 25 (0.7%) |
| 6:00 AM to 6:29 AM | 443 (11.0%) | 212 (6.1%) |
| 6:30 AM to 6:59 AM | 306 (7.6%) | 332 (9.6%) |
| 7:00 AM to 7:29 AM | 977 (24.3%) | 580 (16.8%) |
| 7:30 AM to 7:59 AM | 626 (15.6%) | 592 (17.1%) |
| 8:00 AM to 8:29 AM | 425 (10.6%) | 511 (14.8%) |
| 8:30 AM to 8:59 AM | 270 (6.7%) | 109 (3.2%) |
| 9:00 AM to 9:59 AM | 175 (4.4%) | 524 (15.2%) |
| 10:00 AM to 10:59 AM | 85 (2.1%) | 171 (5.0%) |
| 11:00 AM to 11:59 AM | 69 (1.7%) | 54 (1.6%) |
| 12:00 PM to 3:59 PM | 72 (1.8%) | 184 (5.3%) |
| 4:00 PM to 11:59 PM | 264 (6.6%) | 112 (3.2%) |
| Total | 4,017 (100.0%) | 3,456 (100.0%) |
Housing Occupancy in Zip Code 01945
Occupancy by Ownership in Zip Code 01945
Of the total 8,195 dwellings in Zip Code 01945, owner-occupied units account for 6,680 (81.5%), while renter-occupied units make up 1,515 (18.5%).
| Occupancy | # Housing Units | % Housing Units |
| Owner Occupied Housing Units | 6,680 | 81.5% |
| Renter-Occupied Housing Units | 1,515 | 18.5% |
| Total Occupied Housing Units | 8,195 | 100.0% |
Occupancy by Household Size in Zip Code 01945
| Household Size | # Housing Units | % Housing Units |
| 1-Person Household | 1,982 | 24.2% |
| 2-Person Household | 3,035 | 37.0% |
| 3-Person Household | 1,232 | 15.0% |
| 4+ Person Household | 1,946 | 23.7% |
| Total Housing Units | 8,195 | 100.0% |
Occupancy by Ownership by Household Size in Zip Code 01945
| Household Size | Owner-occupied | Renter-occupied |
| 1-Person Household | 1,239 (62.5%) | 743 (37.5%) |
| 2-Person Household | 2,683 (88.4%) | 352 (11.6%) |
| 3-Person Household | 1,077 (87.4%) | 155 (12.6%) |
| 4+ Person Household | 1,681 (86.4%) | 265 (13.6%) |
| Total Housing Units | 6,680 (81.5%) | 1,515 (18.5%) |
Occupancy by Educational Attainment in Zip Code 01945
| Household Size | Owner-occupied | Renter-occupied |
| Less than High School | 0 (0.0%) | 7 (100.0%) |
| High School Diploma | 458 (75.2%) | 151 (24.8%) |
| College/Associate Degree | 863 (69.8%) | 373 (30.2%) |
| Bachelor's Degree or higher | 5,359 (84.5%) | 984 (15.5%) |
Occupancy by Age of Householder in Zip Code 01945
| Age Bracket | # Households | % Households |
| Under 35 Years | 482 | 5.9% |
| 35 to 44 Years | 958 | 11.7% |
| 45 to 54 Years | 1,809 | 22.1% |
| 55 to 64 Years | 2,162 | 26.4% |
| 65 to 74 Years | 1,524 | 18.6% |
| 75 to 84 Years | 781 | 9.5% |
| 85 Years and Over | 479 | 5.9% |
| Total | 8,195 | 100.0% |
Housing Finances in Zip Code 01945
Median Income by Occupancy in Zip Code 01945
| Occupancy Type | # Households | Median Income |
| Owner-Occupied | 6,680 (81.5%) | $190,263 |
| Renter-Occupied | 1,515 (18.5%) | $59,917 |
| Average | 8,195 (100.0%) | $163,561 |
Occupancy by Householder Income Bracket in Zip Code 01945
| Income Bracket | Owner-occupied | Renter-occupied |
| Less than $5,000 | 49 (0.7%) | 69 (4.5%) |
| $5,000 to $9,999 | 11 (0.2%) | 34 (2.2%) |
| $10,000 to $14,999 | 72 (1.1%) | 67 (4.4%) |
| $15,000 to $19,999 | 0 (0.0%) | 56 (3.7%) |
| $20,000 to $24,999 | 99 (1.5%) | 152 (10.0%) |
| $25,000 to $34,999 | 135 (2.0%) | 63 (4.2%) |
| $35,000 to $49,999 | 328 (4.9%) | 214 (14.1%) |
| $50,000 to $74,999 | 378 (5.7%) | 210 (13.9%) |
| $75,000 to $99,999 | 482 (7.2%) | 144 (9.5%) |
| $100,000 to $149,999 | 1,044 (15.6%) | 215 (14.2%) |
| $150,000 or more | 4,082 (61.1%) | 291 (19.2%) |
| Total | 6,680 (100.0%) | 1,515 (100.0%) |
Monthly Housing Cost Tiers in Zip Code 01945
| Monthly Cost | Owner-occupied | Renter-occupied |
| Less than $300 | 17 (0.3%) | 16 (1.1%) |
| $300 to $499 | 57 (0.9%) | 80 (5.3%) |
| $500 to $799 | 201 (3.0%) | 110 (7.3%) |
| $800 to $999 | 299 (4.5%) | 19 (1.3%) |
| $1,000 to $1,499 | 1,100 (16.5%) | 296 (19.5%) |
| $1,500 to $1,999 | 587 (8.8%) | 377 (24.9%) |
| $2,000 to $2,499 | 446 (6.7%) | 174 (11.5%) |
| $2,500 to $2,999 | 857 (12.8%) | 204 (13.5%) |
| $3,000 or more | 3,116 (46.7%) | 142 (9.4%) |
| Total | 6,680 (100.0%) | 1,515 (100.0%) |
Physical Housing Characteristics in Zip Code 01945
Housing Structures in Zip Code 01945
| Structure Type | # Housing Units | % Housing Units |
| Single Unit, Detached | 6,090 | 74.3% |
| Single Unit, Attached | 379 | 4.6% |
| 2 Unit Apartments | 637 | 7.8% |
| 3 or 4 Unit Apartments | 592 | 7.2% |
| 5 to 9 Unit Apartments | 302 | 3.7% |
| 10 or more Apartments | 161 | 2.0% |
| Mobile Home / Other | 34 | 0.4% |
| Total | 8,195 | 100.0% |
Housing Structures by Occupancy in Zip Code 01945
| Structure Type | Owner-occupied | Renter-occupied |
| Single Unit, Detached | 5,747 (94.4%) | 343 (5.6%) |
| Single Unit, Attached | 327 (86.3%) | 52 (13.7%) |
| 2 Unit Apartments | 293 (46.0%) | 344 (54.0%) |
| 3 or 4 Unit Apartments | 161 (27.2%) | 431 (72.8%) |
| 5 to 9 Unit Apartments | 62 (20.5%) | 240 (79.5%) |
| 10 or more Apartments | 56 (34.8%) | 105 (65.2%) |
| Mobile Home / Other | 34 (100.0%) | 0 (0.0%) |
| Total | 6,680 (81.5%) | 1,515 (18.5%) |
Housing Structures by Number of Rooms in Zip Code 01945
| Number of Rooms | Owner-occupied | Renter-occupied |
| 1 Room | 0 (0.0%) | 12 (0.8%) |
| 2 or 3 Rooms | 83 (1.2%) | 351 (23.2%) |
| 4 or 5 Rooms | 842 (12.6%) | 829 (54.7%) |
| 6 or 7 Rooms | 2,350 (35.2%) | 171 (11.3%) |
| 8 or more Rooms | 3,405 (51.0%) | 152 (10.0%) |
| Total | 6,680 (100.0%) | 1,515 (100.0%) |
Housing Structure by Heating Type in Zip Code 01945
| Heating Type | Owner-occupied | Renter-occupied |
| Utility Gas | 4,827 (72.3%) | 968 (63.9%) |
| Bottled, Tank, or LP Gas | 133 (2.0%) | 0 (0.0%) |
| Electricity | 266 (4.0%) | 334 (22.1%) |
| Fuel Oil or Kerosene | 1,420 (21.3%) | 213 (14.1%) |
| Coal or Coke | 0 (0.0%) | 0 (0.0%) |
| All other Fuels | 34 (0.5%) | 0 (0.0%) |
| No Fuel Used | 0 (0.0%) | 0 (0.0%) |
| Total | 6,680 (100.0%) | 1,515 (100.0%) |
Household Vehicle Usage in Zip Code 01945
| Vehicles per Household | Owner-occupied | Renter-occupied |
| No Vehicle | 135 (2.0%) | 157 (10.4%) |
| 1 Vehicle | 1,368 (20.5%) | 1,013 (66.9%) |
| 2 Vehicles | 3,395 (50.8%) | 285 (18.8%) |
| 3 or more Vehicles | 1,782 (26.7%) | 60 (4.0%) |
| Total | 6,680 (100.0%) | 1,515 (100.0%) |
Real Estate & Mortgages in Zip Code 01945
Real Estate and Mortgage Overview in Zip Code 01945
| Characteristic | Without Mortgage | With Mortgage |
| Housing Units | 2,117 | 4,563 |
| Median Property Value | $838,700 | $864,400 |
| Median Household Income | $122,370 | $3,227 |
| Monthly Housing Costs | $1,252 | $3,016 |
| Real Estate Taxes | $7,304 | $9 |
Property Value by Mortgage Status in Zip Code 01945
| Property Value | Without Mortgage | With Mortgage |
| Less than $50,000 | 38 (1.8%) | 9 (0.2%) |
| $50,000 to $99,999 | 23 (1.1%) | 0 (0.0%) |
| $100,000 to $299,999 | 55 (2.6%) | 18 (0.4%) |
| $300,000 to $499,999 | 240 (11.3%) | 306 (6.7%) |
| $500,000 to $749,999 | 489 (23.1%) | 1,171 (25.7%) |
| $750,000 to $999,999 | 602 (28.4%) | 1,699 (37.2%) |
| $1,000,000 or more | 670 (31.7%) | 1,360 (29.8%) |
| Total | 2,117 (100.0%) | 4,563 (100.0%) |
Household Income by Mortgage Status in Zip Code 01945
| Household Income | Without Mortgage | With Mortgage |
| Less than $10,000 | 14 (0.7%) | 156 (3.4%) |
| $10,000 to $24,999 | 153 (7.2%) | 46 (1.0%) |
| $25,000 to $34,999 | 98 (4.6%) | 18 (0.4%) |
| $35,000 to $49,999 | 196 (9.3%) | 37 (0.8%) |
| $50,000 to $74,999 | 183 (8.6%) | 132 (2.9%) |
| $75,000 to $99,999 | 249 (11.8%) | 195 (4.3%) |
| $100,000 to $149,999 | 369 (17.4%) | 233 (5.1%) |
| $150,000 or more | 855 (40.4%) | 675 (14.8%) |
| Total | 2,117 (100.0%) | 4,563 (100.0%) |
Property Value to Household Income Ratio in Zip Code 01945
| Value-to-Income Ratio | Without Mortgage | With Mortgage |
| Less than 2.0x | 196 (9.3%) | 219,438 (4,809.1%) |
| 2.0x to 2.9x | 338 (16.0%) | 533 (11.7%) |
| 3.0x to 3.9x | 125 (5.9%) | 998 (21.9%) |
| 4.0x or more | 1,458 (68.9%) | 860 (18.9%) |
| Total | 2,117 (100.0%) | 4,563 (100.0%) |
Real Estate Taxes by Mortgage Status in Zip Code 01945
| Property Taxes | Without Mortgage | With Mortgage |
| Less than $800 | 0 (0.0%) | 0 (0.0%) |
| $800 to $1,499 | 21 (1.0%) | 48 (1.1%) |
| $800 to $1,499 | 2,079 (98.2%) | 45 (1.0%) |
| Total | 2,117 (100.0%) | 4,563 (100.0%) |
Health & Disability in Zip Code 01945
Health Insurance Coverage by Age in Zip Code 01945
| Age Bracket | With Coverage | Without Coverage |
| Under 6 Years | 711 (100.0%) | 0 (0.0%) |
| 6 to 18 Years | 3,896 (98.4%) | 62 (1.6%) |
| 19 to 25 Years | 1,044 (97.4%) | 28 (2.6%) |
| 26 to 34 Years | 1,205 (96.8%) | 40 (3.2%) |
| 35 to 44 Years | 1,844 (97.3%) | 51 (2.7%) |
| 45 to 54 Years | 3,171 (97.2%) | 91 (2.8%) |
| 55 to 64 Years | 3,651 (99.4%) | 22 (0.6%) |
| 65 to 74 Years | 2,537 (100.0%) | 0 (0.0%) |
| 75 Years and older | 1,914 (100.0%) | 0 (0.0%) |
| Total | 19,973 (98.6%) | 294 (1.5%) |
Health Insurance Coverage by Citizenship Status in Zip Code 01945
| Citizenship Status | With Coverage | Without Coverage |
| Native Born | 711 (100.0%) | 0 (0.0%) |
| Foreign Born, Citizen | 3,896 (98.4%) | 62 (1.6%) |
| Foreign Born, not a Citizen | 1,044 (97.4%) | 28 (2.6%) |
Health Insurance Coverage by Household Income in Zip Code 01945
| Household Income | With Coverage | Without Coverage |
| Under $25,000 | 746 (94.1%) | 47 (5.9%) |
| $25,000 to $49,999 | 1,371 (93.2%) | 100 (6.8%) |
| $50,000 to $74,999 | 1,220 (97.6%) | 30 (2.4%) |
| $75,000 to $99,999 | 1,188 (100.0%) | 0 (0.0%) |
| $100,000 and over | 15,448 (99.3%) | 117 (0.7%) |
Public vs Private Health Insurance Coverage by Age in Zip Code 01945
| Age Bracket | Public Insurance | Private Insurance |
| Under 6 | 108 (15.2%) | 622 (87.5%) |
| 6 to 18 Years | 581 (14.7%) | 3,436 (86.8%) |
| 19 to 25 Years | 125 (11.7%) | 931 (86.9%) |
| 25 to 34 Years | 175 (14.1%) | 1,042 (83.7%) |
| 35 to 44 Years | 189 (10.0%) | 1,705 (90.0%) |
| 45 to 54 Years | 246 (7.5%) | 3,016 (92.5%) |
| 55 to 64 Years | 250 (6.8%) | 3,449 (93.9%) |
| 65 to 74 Years | 2,424 (95.6%) | 1,562 (61.6%) |
| 75 Years and over | 1,879 (98.2%) | 1,548 (80.9%) |
| Total | 5,977 (29.5%) | 17,311 (85.4%) |
Disability Status by Sex by Age in Zip Code 01945
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 19 (1.0%) | 26 (1.4%) |
| 18 to 34 Years | 59 (4.3%) | 9 (0.7%) |
| 35 to 64 Years | 59 (1.4%) | 217 (4.6%) |
| 65 to 74 Years | 128 (10.2%) | 142 (11.0%) |
| 75 Years and over | 261 (32.3%) | 393 (35.5%) |
Disability Class by Sex by Age in Zip Code 01945
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 | 28 (2.0%) | 0 (0.0%) |
| 35 to 64 Years | 45 (1.1%) | 71 (1.5%) |
| 65 to 74 Years | 34 (2.7%) | 29 (2.3%) |
| 75 Years and over | 134 (16.6%) | 162 (14.6%) |
Disability Class: Vision Difficulty
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 6 (0.3%) | 0 (0.0%) |
| 18 to 34 Years | 28 (2.0%) | 0 (0.0%) |
| 35 to 64 Years | 0 (0.0%) | 73 (1.5%) |
| 65 to 74 Years | 0 (0.0%) | 9 (0.7%) |
| 75 Years and over | 52 (6.4%) | 83 (7.5%) |
Disability Class: Cognitive Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 13 (0.7%) | 26 (1.4%) |
| 18 to 34 Years | 39 (2.8%) | 9 (0.7%) |
| 35 to 64 Years | 25 (0.6%) | 62 (1.3%) |
| 65 to 74 Years | 64 (5.1%) | 29 (2.3%) |
| 75 Years and over | 130 (16.1%) | 145 (13.1%) |
Disability Class: Ambulatory Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 0 (0.0%) | 13 (0.7%) |
| 18 to 34 Years | 39 (2.8%) | 0 (0.0%) |
| 35 to 64 Years | 34 (0.8%) | 27 (0.6%) |
| 65 to 74 Years | 46 (3.7%) | 66 (5.1%) |
| 75 Years and over | 125 (15.5%) | 164 (14.8%) |
Disability Class: Self-Care Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 0 (0.0%) | 13 (0.7%) |
| 18 to 34 Years | 28 (2.0%) | 0 (0.0%) |
| 35 to 64 Years | 0 (0.0%) | 0 (0.0%) |
| 65 to 74 Years | 0 (0.0%) | 29 (2.3%) |
| 75 Years and over | 84 (10.4%) | 53 (4.8%) |
Technology Access in Zip Code 01945
Computing Device Access in Zip Code 01945
| Device Type | # Households | % Households |
| Desktop or Laptop | 7,492 | 91.4% |
| Smartphone | 7,531 | 91.9% |
| Tablet | 6,225 | 76.0% |
| No Computing Device | 236 | 2.9% |
| Total | 8,195 | 100.0% |
Internet Access in Zip Code 01945
| Internet Type | # Households | % Households |
| Dial-Up Internet | 0 | 0.0% |
| Broadband Home | 7,208 | 88.0% |
| Cellular Data Only | 750 | 9.1% |
| Satellite Internet | 150 | 1.8% |
| No Internet | 218 | 2.7% |
| Total | 8,195 | 100.0% |
Common Questions
What is Per Capita Income in Zip Code 01945?
Per Capita income in Zip Code 01945 is $90,924.
What is the Median Family Income in Zip Code 01945?
Median Family Income in Zip Code 01945 is $200,000.
What is the Median Household income in Zip Code 01945?
Median Household Income in Zip Code 01945 is $163,561.
What is Income or Wage Gap in Zip Code 01945?
Income or Wage Gap in Zip Code 01945 is 40.9%.
Women in Zip Code 01945 earn 59.1 cents for every dollar earned by a man.
What is Inequality or Gini Index in Zip Code 01945?
Inequality or Gini Index in Zip Code 01945 is 0.48.
What is the Total Population of Zip Code 01945?
Total Population of Zip Code 01945 is 20,373.
What is the Total Male Population of Zip Code 01945?
Total Male Population of Zip Code 01945 is 9,740.
What is the Total Female Population of Zip Code 01945?
Total Female Population of Zip Code 01945 is 10,633.
What is the Ratio of Males per 100 Females in Zip Code 01945?
There are 91.60 Males per 100 Females in Zip Code 01945.
What is the Ratio of Females per 100 Males in Zip Code 01945?
There are 109.17 Females per 100 Males in Zip Code 01945.
What is the Median Population Age in Zip Code 01945?
Median Population Age in Zip Code 01945 is 49.6 Years.
What is the Average Family Size in Zip Code 01945
Average Family Size in Zip Code 01945 is 3.0 People.
What is the Average Household Size in Zip Code 01945
Average Household Size in Zip Code 01945 is 2.5 People.
How Large is the Labor Force in Zip Code 01945?
There are 11,152 People in the Labor Forcein in Zip Code 01945.
What is the Percentage of People in the Labor Force in Zip Code 01945?
65.9% of People are in the Labor Force in Zip Code 01945.
What is the Unemployment Rate in Zip Code 01945?
Unemployment Rate in Zip Code 01945 is 3.3%.