Tlingit-Haida vs Burmese Community Comparison

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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
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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Tlingit-Haida

Burmese

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

Burmese Integration in Tlingit-Haida Communities

The statistical analysis conducted on geographies consisting of 59,650,123 people shows a substantial positive correlation between the proportion of Burmese within Tlingit-Haida communities in the United States with a correlation coefficient (R) of 0.589. On average, for every 1% (one percent) increase in Tlingit-Haida within a typical geography, there is an increase of 0.122% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Tlingit-Haida corresponds to an increase of 122.1 Burmese.
Tlingit-Haida Integration in Burmese Communities

Tlingit-Haida vs Burmese Income

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

Tlingit-Haida vs Burmese Poverty

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

Tlingit-Haida vs Burmese Unemployment

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

Tlingit-Haida vs Burmese Labor Participation

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

Tlingit-Haida vs Burmese Family Structure

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

Tlingit-Haida vs Burmese Vehicle Availability

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

Tlingit-Haida vs Burmese Education Level

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

Tlingit-Haida vs Burmese Disability

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