Chippewa vs Burmese Community Comparison

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Chippewa
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 IndianCherokeeCheyenneChickasawChileanChineseChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTlingit-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

Chippewa

Burmese

Fair
Exceptional
2,429
SOCIAL INDEX
21.8/ 100
SOCIAL RATING
259th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Chippewa Communities

The statistical analysis conducted on geographies consisting of 201,111,274 people shows a poor positive correlation between the proportion of Burmese within Chippewa communities in the United States with a correlation coefficient (R) of 0.115. On average, for every 1% (one percent) increase in Chippewa within a typical geography, there is an increase of 0.002% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chippewa corresponds to an increase of 1.9 Burmese.
Chippewa Integration in Burmese Communities

Chippewa vs Burmese Income

When considering income, the most significant differences between Chippewa and Burmese communities in the United States are seen in median household income ($70,539 compared to $103,145, a difference of 46.2%), householder income ages 45 - 64 years ($83,943 compared to $121,444, a difference of 44.7%), and householder income ages 25 - 44 years ($80,005 compared to $113,701, a difference of 42.1%). Conversely, both communities are more comparable in terms of wage/income gap (25.0% compared to 28.0%, a difference of 12.2%), householder income under 25 years ($47,015 compared to $54,800, a difference of 16.6%), and median female earnings ($35,003 compared to $44,911, a difference of 28.3%).
Chippewa vs Burmese Income
Income MetricChippewaBurmese
Per Capita Income
Tragic
$36,631
Exceptional
$52,005
Median Family Income
Tragic
$86,852
Exceptional
$123,369
Median Household Income
Tragic
$70,539
Exceptional
$103,145
Median Earnings
Tragic
$40,287
Exceptional
$54,559
Median Male Earnings
Tragic
$46,368
Exceptional
$65,236
Median Female Earnings
Tragic
$35,003
Exceptional
$44,911
Householder Age | Under 25 years
Tragic
$47,015
Exceptional
$54,800
Householder Age | 25 - 44 years
Tragic
$80,005
Exceptional
$113,701
Householder Age | 45 - 64 years
Tragic
$83,943
Exceptional
$121,444
Householder Age | Over 65 years
Tragic
$53,847
Exceptional
$71,139
Wage/Income Gap
Excellent
25.0%
Tragic
28.0%

Chippewa vs Burmese Poverty

When considering poverty, the most significant differences between Chippewa and Burmese communities in the United States are seen in child poverty under the age of 5 (23.4% compared to 13.2%, a difference of 76.9%), receiving food stamps (14.7% compared to 8.6%, a difference of 69.7%), and child poverty among boys under 16 (21.0% compared to 13.0%, a difference of 61.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (13.1% compared to 11.7%, a difference of 11.8%), seniors poverty over the age of 65 (12.1% compared to 10.1%, a difference of 20.4%), and single father poverty (18.8% compared to 15.5%, a difference of 21.6%).
Chippewa vs Burmese Poverty
Poverty MetricChippewaBurmese
Poverty
Tragic
15.7%
Exceptional
10.7%
Families
Tragic
11.2%
Exceptional
7.3%
Males
Tragic
14.6%
Exceptional
9.7%
Females
Tragic
16.7%
Exceptional
11.6%
Females 18 to 24 years
Tragic
25.9%
Exceptional
18.9%
Females 25 to 34 years
Tragic
18.0%
Exceptional
11.2%
Children Under 5 years
Tragic
23.4%
Exceptional
13.2%
Children Under 16 years
Tragic
20.5%
Exceptional
12.8%
Boys Under 16 years
Tragic
21.0%
Exceptional
13.0%
Girls Under 16 years
Tragic
20.6%
Exceptional
13.0%
Single Males
Tragic
16.4%
Exceptional
11.7%
Single Females
Tragic
26.8%
Exceptional
18.3%
Single Fathers
Tragic
18.8%
Exceptional
15.5%
Single Mothers
Tragic
34.8%
Exceptional
26.2%
Married Couples
Poor
5.4%
Exceptional
4.3%
Seniors Over 65 years
Tragic
12.1%
Exceptional
10.1%
Seniors Over 75 years
Tragic
13.1%
Excellent
11.7%
Receiving Food Stamps
Tragic
14.7%
Exceptional
8.6%

Chippewa vs Burmese Unemployment

When considering unemployment, the most significant differences between Chippewa and Burmese communities in the United States are seen in unemployment among women with children under 6 years (13.3% compared to 6.5%, a difference of 105.7%), unemployment among ages 30 to 34 years (7.8% compared to 5.1%, a difference of 50.7%), and unemployment among ages 35 to 44 years (6.2% compared to 4.3%, a difference of 44.2%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.8%, a difference of 2.8%), unemployment among ages 16 to 19 years (18.0% compared to 17.0%, a difference of 5.8%), and unemployment among seniors over 65 years (5.4% compared to 5.0%, a difference of 8.1%).
Chippewa vs Burmese Unemployment
Unemployment MetricChippewaBurmese
Unemployment
Tragic
6.2%
Exceptional
4.9%
Males
Tragic
6.6%
Exceptional
4.9%
Females
Tragic
6.1%
Exceptional
5.0%
Youth < 25
Tragic
13.5%
Excellent
11.3%
Age | 16 to 19 years
Poor
18.0%
Exceptional
17.0%
Age | 20 to 24 years
Tragic
12.3%
Excellent
10.2%
Age | 25 to 29 years
Tragic
7.8%
Exceptional
6.2%
Age | 30 to 34 years
Tragic
7.8%
Exceptional
5.1%
Age | 35 to 44 years
Tragic
6.2%
Exceptional
4.3%
Age | 45 to 54 years
Tragic
5.5%
Exceptional
4.2%
Age | 55 to 59 years
Tragic
5.9%
Exceptional
4.5%
Age | 60 to 64 years
Poor
4.9%
Excellent
4.8%
Age | 65 to 74 years
Tragic
5.7%
Exceptional
5.2%
Seniors > 65
Tragic
5.4%
Exceptional
5.0%
Seniors > 75
Tragic
10.1%
Exceptional
8.2%
Women w/ Children < 6
Tragic
13.3%
Exceptional
6.5%
Women w/ Children 6 to 17
Tragic
11.1%
Exceptional
8.0%
Women w/ Children < 18
Tragic
7.0%
Exceptional
4.9%

Chippewa vs Burmese Labor Participation

When considering labor participation, the most significant differences between Chippewa and Burmese communities in the United States are seen in in labor force | age 16-19 (43.8% compared to 34.5%, a difference of 27.0%), in labor force | age > 16 (63.1% compared to 66.2%, a difference of 4.9%), and in labor force | age 20-24 (77.1% compared to 73.6%, a difference of 4.7%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (82.9% compared to 84.7%, a difference of 2.2%), in labor force | age 25-29 (82.9% compared to 85.1%, a difference of 2.7%), and in labor force | age 45-54 (81.3% compared to 83.6%, a difference of 2.9%).
Chippewa vs Burmese Labor Participation
Labor Participation MetricChippewaBurmese
In Labor Force | Age > 16
Tragic
63.1%
Exceptional
66.2%
In Labor Force | Age 20-64
Tragic
77.3%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
43.8%
Tragic
34.5%
In Labor Force | Age 20-24
Exceptional
77.1%
Tragic
73.6%
In Labor Force | Age 25-29
Tragic
82.9%
Exceptional
85.1%
In Labor Force | Age 30-34
Tragic
82.6%
Exceptional
85.3%
In Labor Force | Age 35-44
Tragic
82.9%
Exceptional
84.7%
In Labor Force | Age 45-54
Tragic
81.3%
Exceptional
83.6%

Chippewa vs Burmese Family Structure

When considering family structure, the most significant differences between Chippewa and Burmese communities in the United States are seen in births to unmarried women (42.6% compared to 26.4%, a difference of 61.7%), single father households (3.1% compared to 2.0%, a difference of 52.0%), and single mother households (8.0% compared to 5.3%, a difference of 50.9%). Conversely, both communities are more comparable in terms of average family size (3.20 compared to 3.22, a difference of 0.49%), family households (62.1% compared to 65.7%, a difference of 5.9%), and family households with children (26.7% compared to 28.5%, a difference of 6.6%).
Chippewa vs Burmese Family Structure
Family Structure MetricChippewaBurmese
Family Households
Tragic
62.1%
Exceptional
65.7%
Family Households with Children
Tragic
26.7%
Exceptional
28.5%
Married-couple Households
Tragic
42.1%
Exceptional
49.8%
Average Family Size
Poor
3.20
Fair
3.22
Single Father Households
Tragic
3.1%
Exceptional
2.0%
Single Mother Households
Tragic
8.0%
Exceptional
5.3%
Currently Married
Tragic
43.2%
Exceptional
48.9%
Divorced or Separated
Tragic
13.2%
Exceptional
10.7%
Births to Unmarried Women
Tragic
42.6%
Exceptional
26.4%

Chippewa vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Chippewa and Burmese communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.8%, a difference of 10.9%), 3 or more vehicles in household (21.5% compared to 20.6%, a difference of 4.2%), and no vehicles in household (9.4% compared to 9.7%, a difference of 2.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.7% compared to 90.4%, a difference of 0.27%), 2 or more vehicles in household (57.2% compared to 57.8%, a difference of 1.1%), and no vehicles in household (9.4% compared to 9.7%, a difference of 2.4%).
Chippewa vs Burmese Vehicle Availability
Vehicle Availability MetricChippewaBurmese
No Vehicles Available
Exceptional
9.4%
Excellent
9.7%
1+ Vehicles Available
Exceptional
90.7%
Excellent
90.4%
2+ Vehicles Available
Exceptional
57.2%
Exceptional
57.8%
3+ Vehicles Available
Exceptional
21.5%
Exceptional
20.6%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
6.8%

Chippewa vs Burmese Education Level

When considering education level, the most significant differences between Chippewa and Burmese communities in the United States are seen in professional degree (3.5% compared to 6.1%, a difference of 77.1%), doctorate degree (1.5% compared to 2.6%, a difference of 72.9%), and master's degree (11.4% compared to 19.7%, a difference of 72.5%). Conversely, both communities are more comparable in terms of 11th grade (93.5% compared to 93.6%, a difference of 0.14%), nursery school (98.5% compared to 98.1%, a difference of 0.44%), and kindergarten (98.5% compared to 98.1%, a difference of 0.44%).
Chippewa vs Burmese Education Level
Education Level MetricChippewaBurmese
No Schooling Completed
Exceptional
1.6%
Excellent
1.9%
Nursery School
Exceptional
98.5%
Excellent
98.1%
Kindergarten
Exceptional
98.5%
Excellent
98.1%
1st Grade
Exceptional
98.5%
Excellent
98.0%
2nd Grade
Exceptional
98.4%
Excellent
98.0%
3rd Grade
Exceptional
98.4%
Good
97.9%
4th Grade
Exceptional
98.2%
Excellent
97.7%
5th Grade
Exceptional
98.1%
Excellent
97.5%
6th Grade
Exceptional
97.9%
Excellent
97.3%
7th Grade
Exceptional
97.3%
Excellent
96.3%
8th Grade
Exceptional
97.1%
Exceptional
96.1%
9th Grade
Exceptional
96.1%
Exceptional
95.4%
10th Grade
Exceptional
95.0%
Exceptional
94.5%
11th Grade
Exceptional
93.5%
Exceptional
93.6%
12th Grade, No Diploma
Good
91.5%
Exceptional
92.6%
High School Diploma
Excellent
89.7%
Exceptional
90.8%
GED/Equivalency
Fair
85.2%
Exceptional
88.3%
College, Under 1 year
Tragic
62.6%
Exceptional
71.9%
College, 1 year or more
Tragic
55.7%
Exceptional
66.7%
Associate's Degree
Tragic
40.7%
Exceptional
54.6%
Bachelor's Degree
Tragic
30.6%
Exceptional
46.9%
Master's Degree
Tragic
11.4%
Exceptional
19.7%
Professional Degree
Tragic
3.5%
Exceptional
6.1%
Doctorate Degree
Tragic
1.5%
Exceptional
2.6%

Chippewa vs Burmese Disability

When considering disability, the most significant differences between Chippewa and Burmese communities in the United States are seen in disability age under 5 (1.9% compared to 1.1%, a difference of 67.5%), disability age 35 to 64 (15.0% compared to 9.2%, a difference of 62.5%), and disability age 18 to 34 (9.0% compared to 6.0%, a difference of 49.8%). Conversely, both communities are more comparable in terms of disability age over 75 (48.4% compared to 45.9%, a difference of 5.5%), cognitive disability (18.1% compared to 16.7%, a difference of 8.5%), and self-care disability (2.6% compared to 2.3%, a difference of 17.1%).
Chippewa vs Burmese Disability
Disability MetricChippewaBurmese
Disability
Tragic
14.1%
Exceptional
10.4%
Males
Tragic
14.3%
Exceptional
10.0%
Females
Tragic
14.0%
Exceptional
10.7%
Age | Under 5 years
Tragic
1.9%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
7.1%
Exceptional
4.8%
Age | 18 to 34 years
Tragic
9.0%
Exceptional
6.0%
Age | 35 to 64 years
Tragic
15.0%
Exceptional
9.2%
Age | 65 to 74 years
Tragic
27.8%
Exceptional
20.6%
Age | Over 75 years
Tragic
48.4%
Exceptional
45.9%
Vision
Tragic
2.4%
Exceptional
1.8%
Hearing
Tragic
4.0%
Exceptional
2.8%
Cognitive
Tragic
18.1%
Exceptional
16.7%
Ambulatory
Tragic
7.1%
Exceptional
5.3%
Self-Care
Tragic
2.6%
Exceptional
2.3%