Puget Sound Salish vs Bangladeshi Community Comparison

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Puget Sound Salish
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Bangladeshi
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ik
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Puget Sound Salish

Bangladeshis

Average
Fair
5,672
SOCIAL INDEX
54.2/ 100
SOCIAL RATING
172nd/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in Puget Sound Salish Communities

The statistical analysis conducted on geographies consisting of 31,626,828 people shows a weak negative correlation between the proportion of Bangladeshis within Puget Sound Salish communities in the United States with a correlation coefficient (R) of -0.295. On average, for every 1% (one percent) increase in Puget Sound Salish within a typical geography, there is a decrease of 0.027% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Puget Sound Salish corresponds to a decrease of 26.7 Bangladeshis.
Puget Sound Salish Integration in Bangladeshi Communities

Puget Sound Salish vs Bangladeshi Income

When considering income, the most significant differences between Puget Sound Salish and Bangladeshi communities in the United States are seen in householder income under 25 years ($55,543 compared to $47,589, a difference of 16.7%), per capita income ($41,495 compared to $35,897, a difference of 15.6%), and householder income ages 25 - 44 years ($93,661 compared to $81,363, a difference of 15.1%). Conversely, both communities are more comparable in terms of median female earnings ($39,376 compared to $35,960, a difference of 9.5%), householder income over 65 years ($59,934 compared to $54,719, a difference of 9.5%), and median family income ($97,958 compared to $88,358, a difference of 10.9%).
Puget Sound Salish vs Bangladeshi Income
Income MetricPuget Sound SalishBangladeshi
Per Capita Income
Tragic
$41,495
Tragic
$35,897
Median Family Income
Tragic
$97,958
Tragic
$88,358
Median Household Income
Fair
$84,011
Tragic
$74,112
Median Earnings
Average
$46,333
Tragic
$41,263
Median Male Earnings
Fair
$53,704
Tragic
$46,744
Median Female Earnings
Fair
$39,376
Tragic
$35,960
Householder Age | Under 25 years
Exceptional
$55,543
Tragic
$47,589
Householder Age | 25 - 44 years
Fair
$93,661
Tragic
$81,363
Householder Age | 45 - 64 years
Fair
$98,340
Tragic
$86,402
Householder Age | Over 65 years
Fair
$59,934
Tragic
$54,719
Wage/Income Gap
Good
25.3%
Exceptional
22.2%

Puget Sound Salish vs Bangladeshi Poverty

When considering poverty, the most significant differences between Puget Sound Salish and Bangladeshi communities in the United States are seen in family poverty (8.4% compared to 10.9%, a difference of 29.7%), child poverty among girls under 16 (15.4% compared to 20.0%, a difference of 29.6%), and child poverty under the age of 5 (16.0% compared to 20.6%, a difference of 28.9%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.2%, a difference of 0.22%), single male poverty (12.8% compared to 13.3%, a difference of 4.5%), and single mother poverty (29.1% compared to 31.7%, a difference of 9.0%).
Puget Sound Salish vs Bangladeshi Poverty
Poverty MetricPuget Sound SalishBangladeshi
Poverty
Excellent
11.7%
Tragic
14.8%
Families
Excellent
8.4%
Tragic
10.9%
Males
Excellent
10.7%
Tragic
13.6%
Females
Exceptional
12.7%
Tragic
16.0%
Females 18 to 24 years
Exceptional
18.0%
Tragic
22.5%
Females 25 to 34 years
Tragic
14.3%
Tragic
15.9%
Children Under 5 years
Exceptional
16.0%
Tragic
20.6%
Children Under 16 years
Excellent
15.5%
Tragic
19.9%
Boys Under 16 years
Good
15.8%
Tragic
20.0%
Girls Under 16 years
Exceptional
15.4%
Tragic
20.0%
Single Males
Average
12.8%
Tragic
13.3%
Single Females
Good
20.6%
Tragic
24.2%
Single Fathers
Exceptional
15.2%
Exceptional
15.2%
Single Mothers
Average
29.1%
Tragic
31.7%
Married Couples
Exceptional
4.9%
Tragic
6.0%
Seniors Over 65 years
Exceptional
10.1%
Fair
11.2%
Seniors Over 75 years
Exceptional
10.8%
Good
12.0%
Receiving Food Stamps
Tragic
13.1%
Tragic
15.0%

Puget Sound Salish vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between Puget Sound Salish and Bangladeshi communities in the United States are seen in unemployment among ages 16 to 19 years (18.7% compared to 16.9%, a difference of 10.4%), unemployment among ages 20 to 24 years (10.9% compared to 10.0%, a difference of 9.3%), and unemployment among youth under 25 years (12.5% compared to 11.6%, a difference of 8.0%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.6% compared to 4.6%, a difference of 0.27%), unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.50%), and unemployment among women with children ages 6 to 17 years (7.5% compared to 7.4%, a difference of 1.8%).
Puget Sound Salish vs Bangladeshi Unemployment
Unemployment MetricPuget Sound SalishBangladeshi
Unemployment
Average
5.2%
Poor
5.4%
Males
Tragic
5.5%
Tragic
5.7%
Females
Exceptional
5.1%
Good
5.2%
Youth < 25
Tragic
12.5%
Average
11.6%
Age | 16 to 19 years
Tragic
18.7%
Exceptional
16.9%
Age | 20 to 24 years
Tragic
10.9%
Exceptional
10.0%
Age | 25 to 29 years
Tragic
7.1%
Average
6.6%
Age | 30 to 34 years
Exceptional
5.1%
Good
5.3%
Age | 35 to 44 years
Good
4.6%
Fair
4.8%
Age | 45 to 54 years
Average
4.5%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.4%
Exceptional
4.7%
Age | 60 to 64 years
Exceptional
4.6%
Exceptional
4.6%
Age | 65 to 74 years
Exceptional
5.2%
Good
5.3%
Seniors > 65
Excellent
5.1%
Fair
5.2%
Seniors > 75
Tragic
10.0%
Tragic
9.6%
Women w/ Children < 6
Average
7.7%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
7.5%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
5.1%
Good
5.3%

Puget Sound Salish vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between Puget Sound Salish and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (39.1% compared to 42.5%, a difference of 8.7%), in labor force | age > 16 (63.7% compared to 65.9%, a difference of 3.5%), and in labor force | age 30-34 (82.1% compared to 84.3%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (78.0% compared to 78.1%, a difference of 0.14%), in labor force | age 45-54 (81.7% compared to 81.3%, a difference of 0.50%), and in labor force | age 20-64 (78.2% compared to 79.3%, a difference of 1.4%).
Puget Sound Salish vs Bangladeshi Labor Participation
Labor Participation MetricPuget Sound SalishBangladeshi
In Labor Force | Age > 16
Tragic
63.7%
Exceptional
65.9%
In Labor Force | Age 20-64
Tragic
78.2%
Poor
79.3%
In Labor Force | Age 16-19
Exceptional
39.1%
Exceptional
42.5%
In Labor Force | Age 20-24
Exceptional
78.0%
Exceptional
78.1%
In Labor Force | Age 25-29
Tragic
83.5%
Exceptional
85.1%
In Labor Force | Age 30-34
Tragic
82.1%
Tragic
84.3%
In Labor Force | Age 35-44
Tragic
82.9%
Poor
84.1%
In Labor Force | Age 45-54
Tragic
81.7%
Tragic
81.3%

Puget Sound Salish vs Bangladeshi Family Structure

When considering family structure, the most significant differences between Puget Sound Salish and Bangladeshi communities in the United States are seen in single mother households (6.3% compared to 8.1%, a difference of 30.1%), single father households (2.7% compared to 3.1%, a difference of 14.3%), and births to unmarried women (30.4% compared to 34.4%, a difference of 13.1%). Conversely, both communities are more comparable in terms of family households (65.6% compared to 64.3%, a difference of 2.1%), average family size (3.17 compared to 3.37, a difference of 6.2%), and divorced or separated (13.4% compared to 12.3%, a difference of 8.8%).
Puget Sound Salish vs Bangladeshi Family Structure
Family Structure MetricPuget Sound SalishBangladeshi
Family Households
Exceptional
65.6%
Average
64.3%
Family Households with Children
Average
27.4%
Exceptional
30.1%
Married-couple Households
Exceptional
47.4%
Tragic
43.5%
Average Family Size
Tragic
3.17
Exceptional
3.37
Single Father Households
Tragic
2.7%
Tragic
3.1%
Single Mother Households
Average
6.3%
Tragic
8.1%
Currently Married
Exceptional
47.6%
Tragic
43.7%
Divorced or Separated
Tragic
13.4%
Poor
12.3%
Births to Unmarried Women
Excellent
30.4%
Tragic
34.4%

Puget Sound Salish vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between Puget Sound Salish and Bangladeshi communities in the United States are seen in 4 or more vehicles in household (9.4% compared to 7.6%, a difference of 24.3%), 3 or more vehicles in household (26.4% compared to 21.9%, a difference of 20.5%), and no vehicles in household (9.5% compared to 8.7%, a difference of 9.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.5% compared to 91.4%, a difference of 0.95%), 2 or more vehicles in household (62.1% compared to 58.4%, a difference of 6.2%), and no vehicles in household (9.5% compared to 8.7%, a difference of 9.9%).
Puget Sound Salish vs Bangladeshi Vehicle Availability
Vehicle Availability MetricPuget Sound SalishBangladeshi
No Vehicles Available
Exceptional
9.5%
Exceptional
8.7%
1+ Vehicles Available
Exceptional
90.5%
Exceptional
91.4%
2+ Vehicles Available
Exceptional
62.1%
Exceptional
58.4%
3+ Vehicles Available
Exceptional
26.4%
Exceptional
21.9%
4+ Vehicles Available
Exceptional
9.4%
Exceptional
7.6%

Puget Sound Salish vs Bangladeshi Education Level

When considering education level, the most significant differences between Puget Sound Salish and Bangladeshi communities in the United States are seen in no schooling completed (1.8% compared to 3.5%, a difference of 97.1%), master's degree (11.1% compared to 10.5%, a difference of 6.3%), and college, under 1 year (63.9% compared to 61.4%, a difference of 4.2%). Conversely, both communities are more comparable in terms of professional degree (3.1% compared to 3.1%, a difference of 0.34%), doctorate degree (1.2% compared to 1.2%, a difference of 0.75%), and associate's degree (40.5% compared to 40.0%, a difference of 1.2%).
Puget Sound Salish vs Bangladeshi Education Level
Education Level MetricPuget Sound SalishBangladeshi
No Schooling Completed
Exceptional
1.8%
Tragic
3.5%
Nursery School
Exceptional
98.3%
Tragic
96.6%
Kindergarten
Exceptional
98.2%
Tragic
96.6%
1st Grade
Exceptional
98.2%
Tragic
96.5%
2nd Grade
Exceptional
98.2%
Tragic
96.5%
3rd Grade
Exceptional
98.1%
Tragic
96.3%
4th Grade
Exceptional
97.9%
Tragic
96.1%
5th Grade
Exceptional
97.7%
Tragic
95.9%
6th Grade
Exceptional
97.5%
Tragic
95.7%
7th Grade
Exceptional
96.7%
Tragic
94.5%
8th Grade
Exceptional
96.5%
Tragic
94.3%
9th Grade
Exceptional
95.7%
Tragic
93.4%
10th Grade
Exceptional
94.7%
Tragic
92.2%
11th Grade
Exceptional
93.6%
Tragic
90.9%
12th Grade, No Diploma
Exceptional
92.0%
Tragic
89.3%
High School Diploma
Excellent
89.9%
Tragic
86.9%
GED/Equivalency
Fair
85.2%
Tragic
83.1%
College, Under 1 year
Poor
63.9%
Tragic
61.4%
College, 1 year or more
Tragic
55.9%
Tragic
54.5%
Associate's Degree
Tragic
40.5%
Tragic
40.0%
Bachelor's Degree
Tragic
30.7%
Tragic
30.2%
Master's Degree
Tragic
11.1%
Tragic
10.5%
Professional Degree
Tragic
3.1%
Tragic
3.1%
Doctorate Degree
Tragic
1.2%
Tragic
1.2%

Puget Sound Salish vs Bangladeshi Disability

When considering disability, the most significant differences between Puget Sound Salish and Bangladeshi communities in the United States are seen in disability age under 5 (0.97% compared to 1.3%, a difference of 32.5%), hearing disability (3.9% compared to 3.2%, a difference of 24.7%), and disability age 18 to 34 (8.3% compared to 7.4%, a difference of 13.1%). Conversely, both communities are more comparable in terms of self-care disability (2.8% compared to 2.8%, a difference of 0.17%), disability age over 75 (49.8% compared to 49.4%, a difference of 0.80%), and disability age 65 to 74 (27.2% compared to 26.8%, a difference of 1.2%).
Puget Sound Salish vs Bangladeshi Disability
Disability MetricPuget Sound SalishBangladeshi
Disability
Tragic
13.7%
Tragic
12.6%
Males
Tragic
13.5%
Tragic
12.0%
Females
Tragic
13.8%
Tragic
13.1%
Age | Under 5 years
Exceptional
0.97%
Poor
1.3%
Age | 5 to 17 years
Tragic
6.1%
Tragic
5.8%
Age | 18 to 34 years
Tragic
8.3%
Tragic
7.4%
Age | 35 to 64 years
Tragic
13.3%
Tragic
13.6%
Age | 65 to 74 years
Tragic
27.2%
Tragic
26.8%
Age | Over 75 years
Tragic
49.8%
Tragic
49.4%
Vision
Tragic
2.5%
Tragic
2.3%
Hearing
Tragic
3.9%
Tragic
3.2%
Cognitive
Poor
17.5%
Tragic
18.6%
Ambulatory
Tragic
6.9%
Poor
6.3%
Self-Care
Tragic
2.8%
Tragic
2.8%