Immigrants from Burma/Myanmar vs Yakama Community Comparison

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Immigrants from Burma/Myanmar
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
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaCabo 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 Burma/Myanmar

Yakama

Fair
Poor
3,365
SOCIAL INDEX
31.2/ 100
SOCIAL RATING
222nd/ 347
SOCIAL RANK
1,331
SOCIAL INDEX
10.9/ 100
SOCIAL RATING
315th/ 347
SOCIAL RANK

Yakama Integration in Immigrants from Burma/Myanmar Communities

The statistical analysis conducted on geographies consisting of 12,428,451 people shows a moderate positive correlation between the proportion of Yakama within Immigrant from Burma/Myanmar communities in the United States with a correlation coefficient (R) of 0.472. On average, for every 1% (one percent) increase in Immigrants from Burma/Myanmar within a typical geography, there is an increase of 0.340% in Yakama. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Burma/Myanmar corresponds to an increase of 340.3 Yakama.
Immigrants from Burma/Myanmar Integration in Yakama Communities

Immigrants from Burma/Myanmar vs Yakama Income

When considering income, the most significant differences between Immigrants from Burma/Myanmar and Yakama communities in the United States are seen in per capita income ($39,827 compared to $33,009, a difference of 20.7%), median female earnings ($38,028 compared to $33,354, a difference of 14.0%), and householder income ages 25 - 44 years ($86,736 compared to $76,226, a difference of 13.8%). Conversely, both communities are more comparable in terms of householder income over 65 years ($57,114 compared to $56,234, a difference of 1.6%), wage/income gap (22.8% compared to 23.7%, a difference of 4.0%), and householder income ages 45 - 64 years ($91,385 compared to $86,992, a difference of 5.1%).
Immigrants from Burma/Myanmar vs Yakama Income
Income MetricImmigrants from Burma/MyanmarYakama
Per Capita Income
Tragic
$39,827
Tragic
$33,009
Median Family Income
Tragic
$94,472
Tragic
$83,932
Median Household Income
Tragic
$78,682
Tragic
$72,225
Median Earnings
Tragic
$43,998
Tragic
$39,107
Median Male Earnings
Tragic
$50,298
Tragic
$45,002
Median Female Earnings
Tragic
$38,028
Tragic
$33,354
Householder Age | Under 25 years
Tragic
$48,749
Exceptional
$54,321
Householder Age | 25 - 44 years
Tragic
$86,736
Tragic
$76,226
Householder Age | 45 - 64 years
Tragic
$91,385
Tragic
$86,992
Householder Age | Over 65 years
Tragic
$57,114
Tragic
$56,234
Wage/Income Gap
Exceptional
22.8%
Exceptional
23.7%

Immigrants from Burma/Myanmar vs Yakama Poverty

When considering poverty, the most significant differences between Immigrants from Burma/Myanmar and Yakama communities in the United States are seen in receiving food stamps (12.9% compared to 21.4%, a difference of 66.4%), seniors poverty over the age of 75 (12.1% compared to 18.3%, a difference of 51.8%), and married-couple family poverty (6.0% compared to 9.0%, a difference of 48.7%). Conversely, both communities are more comparable in terms of single father poverty (16.5% compared to 18.1%, a difference of 10.1%), child poverty among boys under 16 (19.2% compared to 21.7%, a difference of 13.2%), and child poverty under the age of 5 (20.4% compared to 23.1%, a difference of 13.7%).
Immigrants from Burma/Myanmar vs Yakama Poverty
Poverty MetricImmigrants from Burma/MyanmarYakama
Poverty
Tragic
14.2%
Tragic
16.7%
Families
Tragic
10.5%
Tragic
13.1%
Males
Tragic
13.0%
Tragic
15.3%
Females
Tragic
15.4%
Tragic
18.0%
Females 18 to 24 years
Tragic
21.6%
Tragic
25.3%
Females 25 to 34 years
Tragic
15.2%
Tragic
17.6%
Children Under 5 years
Tragic
20.4%
Tragic
23.1%
Children Under 16 years
Tragic
19.4%
Tragic
22.1%
Boys Under 16 years
Tragic
19.2%
Tragic
21.7%
Girls Under 16 years
Tragic
19.7%
Tragic
22.6%
Single Males
Poor
13.1%
Tragic
15.9%
Single Females
Tragic
22.6%
Tragic
28.3%
Single Fathers
Fair
16.5%
Tragic
18.1%
Single Mothers
Tragic
30.6%
Tragic
36.4%
Married Couples
Tragic
6.0%
Tragic
9.0%
Seniors Over 65 years
Fair
11.3%
Tragic
14.8%
Seniors Over 75 years
Good
12.1%
Tragic
18.3%
Receiving Food Stamps
Tragic
12.9%
Tragic
21.4%

Immigrants from Burma/Myanmar vs Yakama Unemployment

When considering unemployment, the most significant differences between Immigrants from Burma/Myanmar and Yakama communities in the United States are seen in unemployment among seniors over 75 years (7.7% compared to 18.4%, a difference of 138.5%), unemployment among ages 55 to 59 years (4.4% compared to 8.9%, a difference of 102.1%), and unemployment among ages 30 to 34 years (5.1% compared to 9.8%, a difference of 91.9%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.3% compared to 6.6%, a difference of 10.7%), unemployment among ages 35 to 44 years (4.6% compared to 5.6%, a difference of 22.3%), and unemployment among ages 45 to 54 years (4.4% compared to 5.7%, a difference of 31.0%).
Immigrants from Burma/Myanmar vs Yakama Unemployment
Unemployment MetricImmigrants from Burma/MyanmarYakama
Unemployment
Excellent
5.1%
Tragic
7.3%
Males
Good
5.2%
Tragic
7.9%
Females
Exceptional
5.1%
Tragic
6.7%
Youth < 25
Exceptional
10.6%
Tragic
15.6%
Age | 16 to 19 years
Exceptional
15.6%
Tragic
22.5%
Age | 20 to 24 years
Exceptional
9.1%
Tragic
13.1%
Age | 25 to 29 years
Exceptional
6.2%
Tragic
8.8%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
9.8%
Age | 35 to 44 years
Good
4.6%
Tragic
5.6%
Age | 45 to 54 years
Exceptional
4.4%
Tragic
5.7%
Age | 55 to 59 years
Exceptional
4.4%
Tragic
8.9%
Age | 60 to 64 years
Exceptional
4.4%
Tragic
6.0%
Age | 65 to 74 years
Exceptional
4.8%
Tragic
6.6%
Seniors > 65
Exceptional
4.6%
Tragic
6.7%
Seniors > 75
Exceptional
7.7%
Tragic
18.4%
Women w/ Children < 6
Exceptional
7.3%
Exceptional
6.6%
Women w/ Children 6 to 17
Exceptional
7.5%
Tragic
9.9%
Women w/ Children < 18
Good
5.4%
Tragic
8.1%

Immigrants from Burma/Myanmar vs Yakama Labor Participation

When considering labor participation, the most significant differences between Immigrants from Burma/Myanmar and Yakama communities in the United States are seen in in labor force | age 30-34 (84.7% compared to 79.1%, a difference of 7.0%), in labor force | age > 16 (66.3% compared to 62.1%, a difference of 6.7%), and in labor force | age 35-44 (84.0% compared to 79.0%, a difference of 6.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.3% compared to 75.1%, a difference of 1.7%), in labor force | age 45-54 (82.0% compared to 80.6%, a difference of 1.8%), and in labor force | age 25-29 (84.7% compared to 80.6%, a difference of 5.1%).
Immigrants from Burma/Myanmar vs Yakama Labor Participation
Labor Participation MetricImmigrants from Burma/MyanmarYakama
In Labor Force | Age > 16
Exceptional
66.3%
Tragic
62.1%
In Labor Force | Age 20-64
Good
79.7%
Tragic
75.8%
In Labor Force | Age 16-19
Exceptional
39.0%
Good
36.9%
In Labor Force | Age 20-24
Exceptional
76.3%
Average
75.1%
In Labor Force | Age 25-29
Average
84.7%
Tragic
80.6%
In Labor Force | Age 30-34
Average
84.7%
Tragic
79.1%
In Labor Force | Age 35-44
Tragic
84.0%
Tragic
79.0%
In Labor Force | Age 45-54
Tragic
82.0%
Tragic
80.6%

Immigrants from Burma/Myanmar vs Yakama Family Structure

When considering family structure, the most significant differences between Immigrants from Burma/Myanmar and Yakama communities in the United States are seen in single father households (2.4% compared to 4.2%, a difference of 72.8%), births to unmarried women (32.9% compared to 40.3%, a difference of 22.7%), and single mother households (7.0% compared to 8.4%, a difference of 19.3%). Conversely, both communities are more comparable in terms of currently married (44.3% compared to 44.0%, a difference of 0.69%), divorced or separated (12.1% compared to 12.3%, a difference of 1.4%), and married-couple households (43.4% compared to 45.2%, a difference of 4.2%).
Immigrants from Burma/Myanmar vs Yakama Family Structure
Family Structure MetricImmigrants from Burma/MyanmarYakama
Family Households
Tragic
62.6%
Exceptional
69.3%
Family Households with Children
Exceptional
28.0%
Exceptional
30.8%
Married-couple Households
Tragic
43.4%
Tragic
45.2%
Average Family Size
Exceptional
3.29
Exceptional
3.45
Single Father Households
Poor
2.4%
Tragic
4.2%
Single Mother Households
Tragic
7.0%
Tragic
8.4%
Currently Married
Tragic
44.3%
Tragic
44.0%
Divorced or Separated
Fair
12.1%
Tragic
12.3%
Births to Unmarried Women
Poor
32.9%
Tragic
40.3%

Immigrants from Burma/Myanmar vs Yakama Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Burma/Myanmar and Yakama communities in the United States are seen in 4 or more vehicles in household (6.2% compared to 12.9%, a difference of 107.2%), 3 or more vehicles in household (18.8% compared to 31.0%, a difference of 64.6%), and no vehicles in household (10.4% compared to 6.6%, a difference of 57.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.7% compared to 93.6%, a difference of 4.3%), 2 or more vehicles in household (53.9% compared to 64.9%, a difference of 20.4%), and no vehicles in household (10.4% compared to 6.6%, a difference of 57.6%).
Immigrants from Burma/Myanmar vs Yakama Vehicle Availability
Vehicle Availability MetricImmigrants from Burma/MyanmarYakama
No Vehicles Available
Average
10.4%
Exceptional
6.6%
1+ Vehicles Available
Average
89.7%
Exceptional
93.6%
2+ Vehicles Available
Tragic
53.9%
Exceptional
64.9%
3+ Vehicles Available
Poor
18.8%
Exceptional
31.0%
4+ Vehicles Available
Fair
6.2%
Exceptional
12.9%

Immigrants from Burma/Myanmar vs Yakama Education Level

When considering education level, the most significant differences between Immigrants from Burma/Myanmar and Yakama communities in the United States are seen in bachelor's degree (35.5% compared to 24.5%, a difference of 45.1%), master's degree (13.5% compared to 9.5%, a difference of 42.8%), and associate's degree (43.7% compared to 32.3%, a difference of 35.1%). Conversely, both communities are more comparable in terms of nursery school (96.9% compared to 96.6%, a difference of 0.24%), kindergarten (96.8% compared to 96.6%, a difference of 0.24%), and 1st grade (96.8% compared to 96.5%, a difference of 0.30%).
Immigrants from Burma/Myanmar vs Yakama Education Level
Education Level MetricImmigrants from Burma/MyanmarYakama
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
96.3%
Tragic
95.2%
5th Grade
Tragic
96.1%
Tragic
94.8%
6th Grade
Tragic
95.7%
Tragic
94.3%
7th Grade
Tragic
94.5%
Tragic
91.7%
8th Grade
Tragic
94.1%
Tragic
91.2%
9th Grade
Tragic
93.1%
Tragic
90.1%
10th Grade
Tragic
91.8%
Tragic
86.9%
11th Grade
Tragic
90.4%
Tragic
85.0%
12th Grade, No Diploma
Tragic
88.9%
Tragic
82.5%
High School Diploma
Tragic
86.7%
Tragic
80.0%
GED/Equivalency
Tragic
83.0%
Tragic
74.5%
College, Under 1 year
Tragic
62.5%
Tragic
52.6%
College, 1 year or more
Tragic
56.6%
Tragic
46.2%
Associate's Degree
Tragic
43.7%
Tragic
32.3%
Bachelor's Degree
Tragic
35.5%
Tragic
24.5%
Master's Degree
Tragic
13.5%
Tragic
9.5%
Professional Degree
Tragic
3.9%
Tragic
3.1%
Doctorate Degree
Poor
1.7%
Tragic
1.3%

Immigrants from Burma/Myanmar vs Yakama Disability

When considering disability, the most significant differences between Immigrants from Burma/Myanmar and Yakama communities in the United States are seen in hearing disability (2.9% compared to 3.9%, a difference of 34.4%), disability age 18 to 34 (6.8% compared to 9.0%, a difference of 31.6%), and disability age 65 to 74 (24.0% compared to 29.6%, a difference of 23.3%). Conversely, both communities are more comparable in terms of cognitive disability (18.2% compared to 18.1%, a difference of 0.71%), female disability (12.4% compared to 13.2%, a difference of 6.7%), and disability age over 75 (47.9% compared to 51.3%, a difference of 7.1%).
Immigrants from Burma/Myanmar vs Yakama Disability
Disability MetricImmigrants from Burma/MyanmarYakama
Disability
Fair
11.8%
Tragic
13.4%
Males
Average
11.2%
Tragic
13.5%
Females
Poor
12.4%
Tragic
13.2%
Age | Under 5 years
Exceptional
1.1%
Exceptional
1.00%
Age | 5 to 17 years
Average
5.6%
Tragic
6.3%
Age | 18 to 34 years
Poor
6.8%
Tragic
9.0%
Age | 35 to 64 years
Tragic
12.3%
Tragic
13.6%
Age | 65 to 74 years
Poor
24.0%
Tragic
29.6%
Age | Over 75 years
Poor
47.9%
Tragic
51.3%
Vision
Fair
2.2%
Tragic
2.5%
Hearing
Good
2.9%
Tragic
3.9%
Cognitive
Tragic
18.2%
Tragic
18.1%
Ambulatory
Average
6.1%
Tragic
6.8%
Self-Care
Average
2.5%
Tragic
2.7%