Burmese vs Apache Community Comparison

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Burmese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanArabArapahoArgentineanArmenianAssyrian/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 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
Apache
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

Apache

Exceptional
Poor
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
1,423
SOCIAL INDEX
11.8/ 100
SOCIAL RATING
309th/ 347
SOCIAL RANK

Apache Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 215,346,462 people shows a poor positive correlation between the proportion of Apache within Burmese communities in the United States with a correlation coefficient (R) of 0.176. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.002% in Apache. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 1.9 Apache.
Burmese Integration in Apache Communities

Burmese vs Apache Income

When considering income, the most significant differences between Burmese and Apache communities in the United States are seen in per capita income ($52,005 compared to $34,886, a difference of 49.1%), householder income ages 45 - 64 years ($121,444 compared to $82,184, a difference of 47.8%), and median family income ($123,369 compared to $84,451, a difference of 46.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $49,395, a difference of 10.9%), wage/income gap (28.0% compared to 24.5%, a difference of 14.1%), and median female earnings ($44,911 compared to $34,895, a difference of 28.7%).
Burmese vs Apache Income
Income MetricBurmeseApache
Per Capita Income
Exceptional
$52,005
Tragic
$34,886
Median Family Income
Exceptional
$123,369
Tragic
$84,451
Median Household Income
Exceptional
$103,145
Tragic
$70,927
Median Earnings
Exceptional
$54,559
Tragic
$40,388
Median Male Earnings
Exceptional
$65,236
Tragic
$46,429
Median Female Earnings
Exceptional
$44,911
Tragic
$34,895
Householder Age | Under 25 years
Exceptional
$54,800
Tragic
$49,395
Householder Age | 25 - 44 years
Exceptional
$113,701
Tragic
$80,260
Householder Age | 45 - 64 years
Exceptional
$121,444
Tragic
$82,184
Householder Age | Over 65 years
Exceptional
$71,139
Tragic
$54,668
Wage/Income Gap
Tragic
28.0%
Exceptional
24.5%

Burmese vs Apache Poverty

When considering poverty, the most significant differences between Burmese and Apache communities in the United States are seen in receiving food stamps (8.6% compared to 18.3%, a difference of 111.4%), married-couple family poverty (4.3% compared to 9.0%, a difference of 107.3%), and family poverty (7.3% compared to 14.7%, a difference of 101.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.7% compared to 15.3%, a difference of 30.8%), seniors poverty over the age of 65 (10.1% compared to 13.9%, a difference of 38.0%), and female poverty among 18-24 year olds (18.9% compared to 26.3%, a difference of 39.2%).
Burmese vs Apache Poverty
Poverty MetricBurmeseApache
Poverty
Exceptional
10.7%
Tragic
18.4%
Families
Exceptional
7.3%
Tragic
14.7%
Males
Exceptional
9.7%
Tragic
17.7%
Females
Exceptional
11.6%
Tragic
19.2%
Females 18 to 24 years
Exceptional
18.9%
Tragic
26.3%
Females 25 to 34 years
Exceptional
11.2%
Tragic
20.1%
Children Under 5 years
Exceptional
13.2%
Tragic
25.0%
Children Under 16 years
Exceptional
12.8%
Tragic
23.8%
Boys Under 16 years
Exceptional
13.0%
Tragic
24.5%
Girls Under 16 years
Exceptional
13.0%
Tragic
23.8%
Single Males
Exceptional
11.7%
Tragic
21.6%
Single Females
Exceptional
18.3%
Tragic
27.7%
Single Fathers
Exceptional
15.5%
Tragic
24.2%
Single Mothers
Exceptional
26.2%
Tragic
36.6%
Married Couples
Exceptional
4.3%
Tragic
9.0%
Seniors Over 65 years
Exceptional
10.1%
Tragic
13.9%
Seniors Over 75 years
Excellent
11.7%
Tragic
15.3%
Receiving Food Stamps
Exceptional
8.6%
Tragic
18.3%

Burmese vs Apache Unemployment

When considering unemployment, the most significant differences between Burmese and Apache communities in the United States are seen in unemployment among ages 35 to 44 years (4.3% compared to 8.4%, a difference of 94.6%), unemployment among women with children under 6 years (6.5% compared to 12.3%, a difference of 90.1%), and male unemployment (4.9% compared to 8.6%, a difference of 75.3%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.2% compared to 8.4%, a difference of 2.7%), unemployment among ages 65 to 74 years (5.2% compared to 5.5%, a difference of 5.4%), and unemployment among seniors over 65 years (5.0% compared to 5.3%, a difference of 6.4%).
Burmese vs Apache Unemployment
Unemployment MetricBurmeseApache
Unemployment
Exceptional
4.9%
Tragic
7.4%
Males
Exceptional
4.9%
Tragic
8.6%
Females
Exceptional
5.0%
Tragic
6.6%
Youth < 25
Excellent
11.3%
Tragic
13.5%
Age | 16 to 19 years
Exceptional
17.0%
Tragic
18.8%
Age | 20 to 24 years
Excellent
10.2%
Tragic
12.0%
Age | 25 to 29 years
Exceptional
6.2%
Tragic
9.5%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
7.3%
Age | 35 to 44 years
Exceptional
4.3%
Tragic
8.4%
Age | 45 to 54 years
Exceptional
4.2%
Tragic
7.0%
Age | 55 to 59 years
Exceptional
4.5%
Tragic
5.3%
Age | 60 to 64 years
Excellent
4.8%
Tragic
6.0%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
5.5%
Seniors > 65
Exceptional
5.0%
Tragic
5.3%
Seniors > 75
Exceptional
8.2%
Exceptional
8.4%
Women w/ Children < 6
Exceptional
6.5%
Tragic
12.3%
Women w/ Children 6 to 17
Exceptional
8.0%
Tragic
10.7%
Women w/ Children < 18
Exceptional
4.9%
Tragic
7.9%

Burmese vs Apache Labor Participation

When considering labor participation, the most significant differences between Burmese and Apache communities in the United States are seen in in labor force | age > 16 (66.2% compared to 60.7%, a difference of 9.0%), in labor force | age 20-64 (80.3% compared to 73.7%, a difference of 8.9%), and in labor force | age 35-44 (84.7% compared to 77.9%, a difference of 8.7%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.6% compared to 72.0%, a difference of 2.2%), in labor force | age 16-19 (34.5% compared to 35.6%, a difference of 3.2%), and in labor force | age 25-29 (85.1% compared to 79.2%, a difference of 7.5%).
Burmese vs Apache Labor Participation
Labor Participation MetricBurmeseApache
In Labor Force | Age > 16
Exceptional
66.2%
Tragic
60.7%
In Labor Force | Age 20-64
Exceptional
80.3%
Tragic
73.7%
In Labor Force | Age 16-19
Tragic
34.5%
Poor
35.6%
In Labor Force | Age 20-24
Tragic
73.6%
Tragic
72.0%
In Labor Force | Age 25-29
Exceptional
85.1%
Tragic
79.2%
In Labor Force | Age 30-34
Exceptional
85.3%
Tragic
79.0%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
77.9%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
77.1%

Burmese vs Apache Family Structure

When considering family structure, the most significant differences between Burmese and Apache communities in the United States are seen in births to unmarried women (26.4% compared to 39.9%, a difference of 51.2%), single mother households (5.3% compared to 7.9%, a difference of 49.1%), and single father households (2.0% compared to 2.8%, a difference of 39.4%). Conversely, both communities are more comparable in terms of family households (65.7% compared to 66.5%, a difference of 1.2%), family households with children (28.5% compared to 29.0%, a difference of 1.7%), and average family size (3.22 compared to 3.46, a difference of 7.7%).
Burmese vs Apache Family Structure
Family Structure MetricBurmeseApache
Family Households
Exceptional
65.7%
Exceptional
66.5%
Family Households with Children
Exceptional
28.5%
Exceptional
29.0%
Married-couple Households
Exceptional
49.8%
Tragic
43.9%
Average Family Size
Fair
3.22
Exceptional
3.46
Single Father Households
Exceptional
2.0%
Tragic
2.8%
Single Mother Households
Exceptional
5.3%
Tragic
7.9%
Currently Married
Exceptional
48.9%
Tragic
43.2%
Divorced or Separated
Exceptional
10.7%
Tragic
12.9%
Births to Unmarried Women
Exceptional
26.4%
Tragic
39.9%

Burmese vs Apache Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Apache communities in the United States are seen in no vehicles in household (9.7% compared to 11.0%, a difference of 13.9%), 4 or more vehicles in household (6.8% compared to 7.4%, a difference of 8.0%), and 2 or more vehicles in household (57.8% compared to 55.1%, a difference of 5.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 89.1%, a difference of 1.5%), 3 or more vehicles in household (20.6% compared to 21.2%, a difference of 2.5%), and 2 or more vehicles in household (57.8% compared to 55.1%, a difference of 5.0%).
Burmese vs Apache Vehicle Availability
Vehicle Availability MetricBurmeseApache
No Vehicles Available
Excellent
9.7%
Poor
11.0%
1+ Vehicles Available
Excellent
90.4%
Poor
89.1%
2+ Vehicles Available
Exceptional
57.8%
Fair
55.1%
3+ Vehicles Available
Exceptional
20.6%
Exceptional
21.2%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
7.4%

Burmese vs Apache Education Level

When considering education level, the most significant differences between Burmese and Apache communities in the United States are seen in master's degree (19.7% compared to 11.0%, a difference of 79.6%), professional degree (6.1% compared to 3.5%, a difference of 73.3%), and doctorate degree (2.6% compared to 1.5%, a difference of 70.4%). Conversely, both communities are more comparable in terms of kindergarten (98.1% compared to 98.0%, a difference of 0.030%), 1st grade (98.0% compared to 98.0%, a difference of 0.030%), and 2nd grade (98.0% compared to 97.9%, a difference of 0.030%).
Burmese vs Apache Education Level
Education Level MetricBurmeseApache
No Schooling Completed
Excellent
1.9%
Average
2.1%
Nursery School
Excellent
98.1%
Good
98.1%
Kindergarten
Excellent
98.1%
Good
98.0%
1st Grade
Excellent
98.0%
Good
98.0%
2nd Grade
Excellent
98.0%
Good
97.9%
3rd Grade
Good
97.9%
Good
97.8%
4th Grade
Excellent
97.7%
Good
97.6%
5th Grade
Excellent
97.5%
Average
97.4%
6th Grade
Excellent
97.3%
Average
97.1%
7th Grade
Excellent
96.3%
Fair
95.9%
8th Grade
Exceptional
96.1%
Poor
95.5%
9th Grade
Exceptional
95.4%
Tragic
94.3%
10th Grade
Exceptional
94.5%
Tragic
92.6%
11th Grade
Exceptional
93.6%
Tragic
90.4%
12th Grade, No Diploma
Exceptional
92.6%
Tragic
87.3%
High School Diploma
Exceptional
90.8%
Tragic
85.1%
GED/Equivalency
Exceptional
88.3%
Tragic
80.7%
College, Under 1 year
Exceptional
71.9%
Tragic
58.0%
College, 1 year or more
Exceptional
66.7%
Tragic
51.8%
Associate's Degree
Exceptional
54.6%
Tragic
36.2%
Bachelor's Degree
Exceptional
46.9%
Tragic
28.3%
Master's Degree
Exceptional
19.7%
Tragic
11.0%
Professional Degree
Exceptional
6.1%
Tragic
3.5%
Doctorate Degree
Exceptional
2.6%
Tragic
1.5%

Burmese vs Apache Disability

When considering disability, the most significant differences between Burmese and Apache communities in the United States are seen in disability age under 5 (1.1% compared to 2.0%, a difference of 81.0%), disability age 35 to 64 (9.2% compared to 14.9%, a difference of 62.1%), and vision disability (1.8% compared to 3.0%, a difference of 61.7%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 18.6%, a difference of 11.8%), disability age over 75 (45.9% compared to 53.6%, a difference of 16.7%), and self-care disability (2.3% compared to 2.7%, a difference of 19.2%).
Burmese vs Apache Disability
Disability MetricBurmeseApache
Disability
Exceptional
10.4%
Tragic
13.9%
Males
Exceptional
10.0%
Tragic
14.0%
Females
Exceptional
10.7%
Tragic
13.7%
Age | Under 5 years
Exceptional
1.1%
Tragic
2.0%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
6.4%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
8.4%
Age | 35 to 64 years
Exceptional
9.2%
Tragic
14.9%
Age | 65 to 74 years
Exceptional
20.6%
Tragic
29.7%
Age | Over 75 years
Exceptional
45.9%
Tragic
53.6%
Vision
Exceptional
1.8%
Tragic
3.0%
Hearing
Exceptional
2.8%
Tragic
4.1%
Cognitive
Exceptional
16.7%
Tragic
18.6%
Ambulatory
Exceptional
5.3%
Tragic
7.4%
Self-Care
Exceptional
2.3%
Tragic
2.7%