Burmese vs Tlingit-Haida Community Comparison

COMPARE

Burmese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTohono 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
Tlingit-Haida
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianCajunCambodianCanadianCape 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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Burmese

Tlingit-Haida

Exceptional
Average
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
5,201
SOCIAL INDEX
49.5/ 100
SOCIAL RATING
182nd/ 347
SOCIAL RANK

Tlingit-Haida Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 59,655,525 people shows a significant positive correlation between the proportion of Tlingit-Haida within Burmese communities in the United States with a correlation coefficient (R) of 0.601. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.130% in Tlingit-Haida. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 129.6 Tlingit-Haida.
Burmese Integration in Tlingit-Haida Communities

Burmese vs Tlingit-Haida Income

When considering income, the most significant differences between Burmese and Tlingit-Haida communities in the United States are seen in householder income ages 45 - 64 years ($121,444 compared to $97,417, a difference of 24.7%), median male earnings ($65,236 compared to $52,409, a difference of 24.5%), and median household income ($103,145 compared to $83,968, a difference of 22.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $55,914, a difference of 2.0%), householder income over 65 years ($71,139 compared to $62,922, a difference of 13.1%), and median female earnings ($44,911 compared to $39,513, a difference of 13.7%).
Burmese vs Tlingit-Haida Income
Income MetricBurmeseTlingit-Haida
Per Capita Income
Exceptional
$52,005
Average
$43,516
Median Family Income
Exceptional
$123,369
Fair
$101,092
Median Household Income
Exceptional
$103,145
Fair
$83,968
Median Earnings
Exceptional
$54,559
Fair
$45,468
Median Male Earnings
Exceptional
$65,236
Poor
$52,409
Median Female Earnings
Exceptional
$44,911
Average
$39,513
Householder Age | Under 25 years
Exceptional
$54,800
Exceptional
$55,914
Householder Age | 25 - 44 years
Exceptional
$113,701
Fair
$92,987
Householder Age | 45 - 64 years
Exceptional
$121,444
Poor
$97,417
Householder Age | Over 65 years
Exceptional
$71,139
Excellent
$62,922
Wage/Income Gap
Tragic
28.0%
Exceptional
24.0%

Burmese vs Tlingit-Haida Poverty

When considering poverty, the most significant differences between Burmese and Tlingit-Haida communities in the United States are seen in receiving food stamps (8.6% compared to 11.6%, a difference of 34.0%), female poverty among 25-34 year olds (11.2% compared to 13.8%, a difference of 23.5%), and seniors poverty over the age of 65 (10.1% compared to 8.3%, a difference of 20.7%). Conversely, both communities are more comparable in terms of single father poverty (15.5% compared to 15.3%, a difference of 0.78%), single male poverty (11.7% compared to 11.6%, a difference of 1.1%), and married-couple family poverty (4.3% compared to 4.4%, a difference of 1.3%).
Burmese vs Tlingit-Haida Poverty
Poverty MetricBurmeseTlingit-Haida
Poverty
Exceptional
10.7%
Excellent
11.7%
Families
Exceptional
7.3%
Exceptional
8.0%
Males
Exceptional
9.7%
Good
10.9%
Females
Exceptional
11.6%
Exceptional
12.5%
Females 18 to 24 years
Exceptional
18.9%
Tragic
22.0%
Females 25 to 34 years
Exceptional
11.2%
Fair
13.8%
Children Under 5 years
Exceptional
13.2%
Exceptional
15.9%
Children Under 16 years
Exceptional
12.8%
Exceptional
14.9%
Boys Under 16 years
Exceptional
13.0%
Exceptional
15.3%
Girls Under 16 years
Exceptional
13.0%
Exceptional
14.7%
Single Males
Exceptional
11.7%
Exceptional
11.6%
Single Females
Exceptional
18.3%
Tragic
21.9%
Single Fathers
Exceptional
15.5%
Exceptional
15.3%
Single Mothers
Exceptional
26.2%
Tragic
30.9%
Married Couples
Exceptional
4.3%
Exceptional
4.4%
Seniors Over 65 years
Exceptional
10.1%
Exceptional
8.3%
Seniors Over 75 years
Excellent
11.7%
Exceptional
9.7%
Receiving Food Stamps
Exceptional
8.6%
Average
11.6%

Burmese vs Tlingit-Haida Unemployment

When considering unemployment, the most significant differences between Burmese and Tlingit-Haida communities in the United States are seen in unemployment among seniors over 75 years (8.2% compared to 20.7%, a difference of 153.6%), unemployment among ages 25 to 29 years (6.2% compared to 8.7%, a difference of 40.3%), and unemployment among ages 16 to 19 years (17.0% compared to 23.5%, a difference of 38.8%). Conversely, both communities are more comparable in terms of female unemployment (5.0% compared to 4.9%, a difference of 1.5%), unemployment among ages 35 to 44 years (4.3% compared to 4.3%, a difference of 1.5%), and unemployment among ages 20 to 24 years (10.2% compared to 10.3%, a difference of 1.8%).
Burmese vs Tlingit-Haida Unemployment
Unemployment MetricBurmeseTlingit-Haida
Unemployment
Exceptional
4.9%
Tragic
5.6%
Males
Exceptional
4.9%
Tragic
6.0%
Females
Exceptional
5.0%
Exceptional
4.9%
Youth < 25
Excellent
11.3%
Tragic
12.7%
Age | 16 to 19 years
Exceptional
17.0%
Tragic
23.5%
Age | 20 to 24 years
Excellent
10.2%
Fair
10.3%
Age | 25 to 29 years
Exceptional
6.2%
Tragic
8.7%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
6.0%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.2%
Tragic
4.7%
Age | 55 to 59 years
Exceptional
4.5%
Tragic
5.7%
Age | 60 to 64 years
Excellent
4.8%
Tragic
6.4%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
6.5%
Seniors > 65
Exceptional
5.0%
Tragic
6.8%
Seniors > 75
Exceptional
8.2%
Tragic
20.7%
Women w/ Children < 6
Exceptional
6.5%
Tragic
8.9%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
7.1%
Women w/ Children < 18
Exceptional
4.9%
Good
5.4%

Burmese vs Tlingit-Haida Labor Participation

When considering labor participation, the most significant differences between Burmese and Tlingit-Haida communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 40.5%, a difference of 17.4%), in labor force | age 20-24 (73.6% compared to 77.9%, a difference of 5.9%), and in labor force | age 30-34 (85.3% compared to 82.3%, a difference of 3.6%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.6% compared to 83.9%, a difference of 0.36%), in labor force | age 25-29 (85.1% compared to 84.4%, a difference of 0.85%), and in labor force | age > 16 (66.2% compared to 65.5%, a difference of 1.1%).
Burmese vs Tlingit-Haida Labor Participation
Labor Participation MetricBurmeseTlingit-Haida
In Labor Force | Age > 16
Exceptional
66.2%
Excellent
65.5%
In Labor Force | Age 20-64
Exceptional
80.3%
Tragic
79.0%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
40.5%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
77.9%
In Labor Force | Age 25-29
Exceptional
85.1%
Poor
84.4%
In Labor Force | Age 30-34
Exceptional
85.3%
Tragic
82.3%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
82.5%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.9%

Burmese vs Tlingit-Haida Family Structure

When considering family structure, the most significant differences between Burmese and Tlingit-Haida communities in the United States are seen in single father households (2.0% compared to 2.7%, a difference of 31.5%), divorced or separated (10.7% compared to 13.2%, a difference of 23.1%), and births to unmarried women (26.4% compared to 32.2%, a difference of 22.2%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.16, a difference of 1.9%), currently married (48.9% compared to 46.7%, a difference of 4.9%), and family households (65.7% compared to 61.6%, a difference of 6.7%).
Burmese vs Tlingit-Haida Family Structure
Family Structure MetricBurmeseTlingit-Haida
Family Households
Exceptional
65.7%
Tragic
61.6%
Family Households with Children
Exceptional
28.5%
Tragic
26.0%
Married-couple Households
Exceptional
49.8%
Tragic
45.1%
Average Family Size
Fair
3.22
Tragic
3.16
Single Father Households
Exceptional
2.0%
Tragic
2.7%
Single Mother Households
Exceptional
5.3%
Exceptional
5.7%
Currently Married
Exceptional
48.9%
Average
46.7%
Divorced or Separated
Exceptional
10.7%
Tragic
13.2%
Births to Unmarried Women
Exceptional
26.4%
Fair
32.2%

Burmese vs Tlingit-Haida Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Tlingit-Haida communities in the United States are seen in no vehicles in household (9.7% compared to 10.1%, a difference of 4.0%), 3 or more vehicles in household (20.6% compared to 19.9%, a difference of 3.9%), and 2 or more vehicles in household (57.8% compared to 55.8%, a difference of 3.6%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.8% compared to 6.8%, a difference of 0.28%), 1 or more vehicles in household (90.4% compared to 90.1%, a difference of 0.40%), and 2 or more vehicles in household (57.8% compared to 55.8%, a difference of 3.6%).
Burmese vs Tlingit-Haida Vehicle Availability
Vehicle Availability MetricBurmeseTlingit-Haida
No Vehicles Available
Excellent
9.7%
Good
10.1%
1+ Vehicles Available
Excellent
90.4%
Good
90.1%
2+ Vehicles Available
Exceptional
57.8%
Good
55.8%
3+ Vehicles Available
Exceptional
20.6%
Good
19.9%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
6.8%

Burmese vs Tlingit-Haida Education Level

When considering education level, the most significant differences between Burmese and Tlingit-Haida communities in the United States are seen in doctorate degree (2.6% compared to 1.7%, a difference of 54.7%), professional degree (6.1% compared to 4.0%, a difference of 53.9%), and master's degree (19.7% compared to 12.8%, a difference of 53.4%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.6% compared to 93.0%, a difference of 0.38%), nursery school (98.1% compared to 98.7%, a difference of 0.64%), and 1st grade (98.0% compared to 98.7%, a difference of 0.65%).
Burmese vs Tlingit-Haida Education Level
Education Level MetricBurmeseTlingit-Haida
No Schooling Completed
Excellent
1.9%
Exceptional
1.5%
Nursery School
Excellent
98.1%
Exceptional
98.7%
Kindergarten
Excellent
98.1%
Exceptional
98.7%
1st Grade
Excellent
98.0%
Exceptional
98.7%
2nd Grade
Excellent
98.0%
Exceptional
98.6%
3rd Grade
Good
97.9%
Exceptional
98.5%
4th Grade
Excellent
97.7%
Exceptional
98.4%
5th Grade
Excellent
97.5%
Exceptional
98.3%
6th Grade
Excellent
97.3%
Exceptional
98.1%
7th Grade
Excellent
96.3%
Exceptional
97.5%
8th Grade
Exceptional
96.1%
Exceptional
97.3%
9th Grade
Exceptional
95.4%
Exceptional
96.6%
10th Grade
Exceptional
94.5%
Exceptional
95.7%
11th Grade
Exceptional
93.6%
Exceptional
94.4%
12th Grade, No Diploma
Exceptional
92.6%
Exceptional
93.0%
High School Diploma
Exceptional
90.8%
Exceptional
91.4%
GED/Equivalency
Exceptional
88.3%
Exceptional
87.0%
College, Under 1 year
Exceptional
71.9%
Good
65.9%
College, 1 year or more
Exceptional
66.7%
Average
59.4%
Associate's Degree
Exceptional
54.6%
Tragic
43.0%
Bachelor's Degree
Exceptional
46.9%
Tragic
34.6%
Master's Degree
Exceptional
19.7%
Tragic
12.8%
Professional Degree
Exceptional
6.1%
Tragic
4.0%
Doctorate Degree
Exceptional
2.6%
Poor
1.7%

Burmese vs Tlingit-Haida Disability

When considering disability, the most significant differences between Burmese and Tlingit-Haida communities in the United States are seen in hearing disability (2.8% compared to 4.8%, a difference of 73.0%), vision disability (1.8% compared to 2.9%, a difference of 54.3%), and disability age 35 to 64 (9.2% compared to 13.2%, a difference of 43.1%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 17.2%, a difference of 3.4%), self-care disability (2.3% compared to 2.4%, a difference of 7.8%), and disability age over 75 (45.9% compared to 50.6%, a difference of 10.2%).
Burmese vs Tlingit-Haida Disability
Disability MetricBurmeseTlingit-Haida
Disability
Exceptional
10.4%
Tragic
13.5%
Males
Exceptional
10.0%
Tragic
13.8%
Females
Exceptional
10.7%
Tragic
13.2%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.5%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
5.9%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.7%
Age | 35 to 64 years
Exceptional
9.2%
Tragic
13.2%
Age | 65 to 74 years
Exceptional
20.6%
Tragic
27.1%
Age | Over 75 years
Exceptional
45.9%
Tragic
50.6%
Vision
Exceptional
1.8%
Tragic
2.9%
Hearing
Exceptional
2.8%
Tragic
4.8%
Cognitive
Exceptional
16.7%
Average
17.2%
Ambulatory
Exceptional
5.3%
Tragic
6.5%
Self-Care
Exceptional
2.3%
Good
2.4%