Immigrants from Bangladesh vs Yakama Community Comparison

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Immigrants from Bangladesh
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican 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 IndianYaquiYugoslavianYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral 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 TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Yakama
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish 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
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBarbadosBelarusBelgiumBelizeBoliviaBosnia 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

Immigrants from Bangladesh

Yakama

Poor
Poor
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK
1,331
SOCIAL INDEX
10.9/ 100
SOCIAL RATING
315th/ 347
SOCIAL RANK

Yakama Integration in Immigrants from Bangladesh Communities

The statistical analysis conducted on geographies consisting of 10,762,656 people shows a near-perfect positive correlation between the proportion of Yakama within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of 0.942. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is an increase of 0.141% in Yakama. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to an increase of 141.4 Yakama.
Immigrants from Bangladesh Integration in Yakama Communities

Immigrants from Bangladesh vs Yakama Income

When considering income, the most significant differences between Immigrants from Bangladesh and Yakama communities in the United States are seen in per capita income ($41,709 compared to $33,009, a difference of 26.4%), median female earnings ($39,910 compared to $33,354, a difference of 19.7%), and householder income ages 25 - 44 years ($90,448 compared to $76,226, a difference of 18.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,714 compared to $54,321, a difference of 0.72%), householder income over 65 years ($55,394 compared to $56,234, a difference of 1.5%), and householder income ages 45 - 64 years ($92,208 compared to $86,992, a difference of 6.0%).
Immigrants from Bangladesh vs Yakama Income
Income MetricImmigrants from BangladeshYakama
Per Capita Income
Poor
$41,709
Tragic
$33,009
Median Family Income
Tragic
$94,665
Tragic
$83,932
Median Household Income
Tragic
$80,722
Tragic
$72,225
Median Earnings
Fair
$45,532
Tragic
$39,107
Median Male Earnings
Tragic
$51,642
Tragic
$45,002
Median Female Earnings
Good
$39,910
Tragic
$33,354
Householder Age | Under 25 years
Exceptional
$54,714
Exceptional
$54,321
Householder Age | 25 - 44 years
Tragic
$90,448
Tragic
$76,226
Householder Age | 45 - 64 years
Tragic
$92,208
Tragic
$86,992
Householder Age | Over 65 years
Tragic
$55,394
Tragic
$56,234
Wage/Income Gap
Exceptional
20.9%
Exceptional
23.7%

Immigrants from Bangladesh vs Yakama Poverty

When considering poverty, the most significant differences between Immigrants from Bangladesh and Yakama communities in the United States are seen in receiving food stamps (15.9% compared to 21.4%, a difference of 34.6%), single female poverty (22.3% compared to 28.3%, a difference of 26.8%), and single male poverty (13.0% compared to 15.9%, a difference of 22.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (14.1% compared to 14.8%, a difference of 5.2%), male poverty (14.1% compared to 15.3%, a difference of 8.5%), and child poverty among boys under 16 (19.9% compared to 21.7%, a difference of 9.1%).
Immigrants from Bangladesh vs Yakama Poverty
Poverty MetricImmigrants from BangladeshYakama
Poverty
Tragic
15.3%
Tragic
16.7%
Families
Tragic
11.7%
Tragic
13.1%
Males
Tragic
14.1%
Tragic
15.3%
Females
Tragic
16.4%
Tragic
18.0%
Females 18 to 24 years
Tragic
21.8%
Tragic
25.3%
Females 25 to 34 years
Tragic
14.8%
Tragic
17.6%
Children Under 5 years
Tragic
20.1%
Tragic
23.1%
Children Under 16 years
Tragic
19.8%
Tragic
22.1%
Boys Under 16 years
Tragic
19.9%
Tragic
21.7%
Girls Under 16 years
Tragic
19.9%
Tragic
22.6%
Single Males
Fair
13.0%
Tragic
15.9%
Single Females
Tragic
22.3%
Tragic
28.3%
Single Fathers
Average
16.3%
Tragic
18.1%
Single Mothers
Tragic
31.1%
Tragic
36.4%
Married Couples
Tragic
7.5%
Tragic
9.0%
Seniors Over 65 years
Tragic
14.1%
Tragic
14.8%
Seniors Over 75 years
Tragic
15.8%
Tragic
18.3%
Receiving Food Stamps
Tragic
15.9%
Tragic
21.4%

Immigrants from Bangladesh vs Yakama Unemployment

When considering unemployment, the most significant differences between Immigrants from Bangladesh and Yakama communities in the United States are seen in unemployment among seniors over 75 years (9.1% compared to 18.4%, a difference of 103.0%), unemployment among ages 30 to 34 years (6.4% compared to 9.8%, a difference of 52.0%), and unemployment among ages 55 to 59 years (5.9% compared to 8.9%, a difference of 52.0%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (6.0% compared to 6.0%, a difference of 0.40%), female unemployment (6.5% compared to 6.7%, a difference of 4.2%), and unemployment among ages 20 to 24 years (12.6% compared to 13.1%, a difference of 4.2%).
Immigrants from Bangladesh vs Yakama Unemployment
Unemployment MetricImmigrants from BangladeshYakama
Unemployment
Tragic
6.5%
Tragic
7.3%
Males
Tragic
6.6%
Tragic
7.9%
Females
Tragic
6.5%
Tragic
6.7%
Youth < 25
Tragic
14.2%
Tragic
15.6%
Age | 16 to 19 years
Tragic
21.5%
Tragic
22.5%
Age | 20 to 24 years
Tragic
12.6%
Tragic
13.1%
Age | 25 to 29 years
Tragic
7.5%
Tragic
8.8%
Age | 30 to 34 years
Tragic
6.4%
Tragic
9.8%
Age | 35 to 44 years
Tragic
5.3%
Tragic
5.6%
Age | 45 to 54 years
Tragic
5.4%
Tragic
5.7%
Age | 55 to 59 years
Tragic
5.9%
Tragic
8.9%
Age | 60 to 64 years
Tragic
6.0%
Tragic
6.0%
Age | 65 to 74 years
Tragic
5.9%
Tragic
6.6%
Seniors > 65
Tragic
5.7%
Tragic
6.7%
Seniors > 75
Tragic
9.1%
Tragic
18.4%
Women w/ Children < 6
Tragic
8.8%
Exceptional
6.6%
Women w/ Children 6 to 17
Good
8.8%
Tragic
9.9%
Women w/ Children < 18
Tragic
6.4%
Tragic
8.1%

Immigrants from Bangladesh vs Yakama Labor Participation

When considering labor participation, the most significant differences between Immigrants from Bangladesh and Yakama communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 36.9%, a difference of 22.8%), in labor force | age 20-24 (70.6% compared to 75.1%, a difference of 6.3%), and in labor force | age 30-34 (83.6% compared to 79.1%, a difference of 5.6%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (80.7% compared to 80.6%, a difference of 0.18%), in labor force | age 20-64 (77.9% compared to 75.8%, a difference of 2.8%), and in labor force | age 25-29 (83.0% compared to 80.6%, a difference of 2.9%).
Immigrants from Bangladesh vs Yakama Labor Participation
Labor Participation MetricImmigrants from BangladeshYakama
In Labor Force | Age > 16
Tragic
64.5%
Tragic
62.1%
In Labor Force | Age 20-64
Tragic
77.9%
Tragic
75.8%
In Labor Force | Age 16-19
Tragic
30.0%
Good
36.9%
In Labor Force | Age 20-24
Tragic
70.6%
Average
75.1%
In Labor Force | Age 25-29
Tragic
83.0%
Tragic
80.6%
In Labor Force | Age 30-34
Tragic
83.6%
Tragic
79.1%
In Labor Force | Age 35-44
Tragic
82.9%
Tragic
79.0%
In Labor Force | Age 45-54
Tragic
80.7%
Tragic
80.6%

Immigrants from Bangladesh vs Yakama Family Structure

When considering family structure, the most significant differences between Immigrants from Bangladesh and Yakama communities in the United States are seen in single father households (2.1% compared to 4.2%, a difference of 102.1%), births to unmarried women (30.9% compared to 40.3%, a difference of 30.6%), and single mother households (6.9% compared to 8.4%, a difference of 22.4%). Conversely, both communities are more comparable in terms of currently married (43.6% compared to 44.0%, a difference of 0.85%), average family size (3.36 compared to 3.45, a difference of 2.4%), and married-couple households (43.1% compared to 45.2%, a difference of 4.9%).
Immigrants from Bangladesh vs Yakama Family Structure
Family Structure MetricImmigrants from BangladeshYakama
Family Households
Poor
63.9%
Exceptional
69.3%
Family Households with Children
Good
27.6%
Exceptional
30.8%
Married-couple Households
Tragic
43.1%
Tragic
45.2%
Average Family Size
Exceptional
3.36
Exceptional
3.45
Single Father Households
Exceptional
2.1%
Tragic
4.2%
Single Mother Households
Tragic
6.9%
Tragic
8.4%
Currently Married
Tragic
43.6%
Tragic
44.0%
Divorced or Separated
Exceptional
11.0%
Tragic
12.3%
Births to Unmarried Women
Good
30.9%
Tragic
40.3%

Immigrants from Bangladesh vs Yakama Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Yakama communities in the United States are seen in no vehicles in household (25.8% compared to 6.6%, a difference of 289.6%), 4 or more vehicles in household (3.9% compared to 12.9%, a difference of 231.9%), and 3 or more vehicles in household (12.5% compared to 31.0%, a difference of 147.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 93.6%, a difference of 25.9%), 2 or more vehicles in household (38.8% compared to 64.9%, a difference of 67.4%), and 3 or more vehicles in household (12.5% compared to 31.0%, a difference of 147.5%).
Immigrants from Bangladesh vs Yakama Vehicle Availability
Vehicle Availability MetricImmigrants from BangladeshYakama
No Vehicles Available
Tragic
25.8%
Exceptional
6.6%
1+ Vehicles Available
Tragic
74.3%
Exceptional
93.6%
2+ Vehicles Available
Tragic
38.8%
Exceptional
64.9%
3+ Vehicles Available
Tragic
12.5%
Exceptional
31.0%
4+ Vehicles Available
Tragic
3.9%
Exceptional
12.9%

Immigrants from Bangladesh vs Yakama Education Level

When considering education level, the most significant differences between Immigrants from Bangladesh and Yakama communities in the United States are seen in master's degree (15.5% compared to 9.5%, a difference of 63.5%), bachelor's degree (37.8% compared to 24.5%, a difference of 54.6%), and professional degree (4.4% compared to 3.1%, a difference of 44.3%). Conversely, both communities are more comparable in terms of nursery school (96.9% compared to 96.6%, a difference of 0.23%), kindergarten (96.8% compared to 96.6%, a difference of 0.23%), and 1st grade (96.8% compared to 96.5%, a difference of 0.29%).
Immigrants from Bangladesh vs Yakama Education Level
Education Level MetricImmigrants from BangladeshYakama
No Schooling Completed
Tragic
3.1%
Tragic
3.6%
Nursery School
Tragic
96.9%
Tragic
96.6%
Kindergarten
Tragic
96.8%
Tragic
96.6%
1st Grade
Tragic
96.8%
Tragic
96.5%
2nd Grade
Tragic
96.7%
Tragic
96.4%
3rd Grade
Tragic
96.6%
Tragic
95.9%
4th Grade
Tragic
96.2%
Tragic
95.2%
5th Grade
Tragic
96.0%
Tragic
94.8%
6th Grade
Tragic
95.4%
Tragic
94.3%
7th Grade
Tragic
94.0%
Tragic
91.7%
8th Grade
Tragic
93.6%
Tragic
91.2%
9th Grade
Tragic
92.4%
Tragic
90.1%
10th Grade
Tragic
91.0%
Tragic
86.9%
11th Grade
Tragic
89.5%
Tragic
85.0%
12th Grade, No Diploma
Tragic
88.0%
Tragic
82.5%
High School Diploma
Tragic
85.5%
Tragic
80.0%
GED/Equivalency
Tragic
81.9%
Tragic
74.5%
College, Under 1 year
Tragic
61.3%
Tragic
52.6%
College, 1 year or more
Tragic
56.6%
Tragic
46.2%
Associate's Degree
Fair
45.2%
Tragic
32.3%
Bachelor's Degree
Average
37.8%
Tragic
24.5%
Master's Degree
Good
15.5%
Tragic
9.5%
Professional Degree
Average
4.4%
Tragic
3.1%
Doctorate Degree
Average
1.8%
Tragic
1.3%

Immigrants from Bangladesh vs Yakama Disability

When considering disability, the most significant differences between Immigrants from Bangladesh and Yakama communities in the United States are seen in hearing disability (2.4% compared to 3.9%, a difference of 62.8%), disability age 18 to 34 (5.6% compared to 9.0%, a difference of 59.3%), and male disability (10.3% compared to 13.5%, a difference of 31.5%). Conversely, both communities are more comparable in terms of cognitive disability (17.8% compared to 18.1%, a difference of 1.5%), self-care disability (2.6% compared to 2.7%, a difference of 1.8%), and disability age over 75 (48.0% compared to 51.3%, a difference of 6.8%).
Immigrants from Bangladesh vs Yakama Disability
Disability MetricImmigrants from BangladeshYakama
Disability
Exceptional
11.0%
Tragic
13.4%
Males
Exceptional
10.3%
Tragic
13.5%
Females
Exceptional
11.8%
Tragic
13.2%
Age | Under 5 years
Exceptional
0.85%
Exceptional
1.00%
Age | 5 to 17 years
Exceptional
5.2%
Tragic
6.3%
Age | 18 to 34 years
Exceptional
5.6%
Tragic
9.0%
Age | 35 to 64 years
Excellent
10.9%
Tragic
13.6%
Age | 65 to 74 years
Fair
23.6%
Tragic
29.6%
Age | Over 75 years
Tragic
48.0%
Tragic
51.3%
Vision
Good
2.1%
Tragic
2.5%
Hearing
Exceptional
2.4%
Tragic
3.9%
Cognitive
Tragic
17.8%
Tragic
18.1%
Ambulatory
Fair
6.2%
Tragic
6.8%
Self-Care
Tragic
2.6%
Tragic
2.7%