Apache vs Burmese Community Comparison

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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
Burmese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch 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

Apache

Burmese

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

Burmese Integration in Apache Communities

The statistical analysis conducted on geographies consisting of 215,347,439 people shows a poor positive correlation between the proportion of Burmese within Apache communities in the United States with a correlation coefficient (R) of 0.133. On average, for every 1% (one percent) increase in Apache within a typical geography, there is an increase of 0.018% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Apache corresponds to an increase of 17.8 Burmese.
Apache Integration in Burmese Communities

Apache vs Burmese Income

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

Apache vs Burmese Poverty

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

Apache vs Burmese Unemployment

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

Apache vs Burmese Labor Participation

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

Apache vs Burmese Family Structure

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

Apache vs Burmese Vehicle Availability

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

Apache vs Burmese Education Level

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

Apache vs Burmese Disability

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