Burmese vs Potawatomi Community Comparison

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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 GermanPeruvianPimaPolishPortuguesePuebloPuerto 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
Potawatomi
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

Potawatomi

Exceptional
Fair
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
3,223
SOCIAL INDEX
29.8/ 100
SOCIAL RATING
227th/ 347
SOCIAL RANK

Potawatomi Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 111,480,369 people shows a weak positive correlation between the proportion of Potawatomi within Burmese communities in the United States with a correlation coefficient (R) of 0.246. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.006% in Potawatomi. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 6.0 Potawatomi.
Burmese Integration in Potawatomi Communities

Burmese vs Potawatomi Income

When considering income, the most significant differences between Burmese and Potawatomi communities in the United States are seen in householder income ages 45 - 64 years ($121,444 compared to $84,613, a difference of 43.5%), median household income ($103,145 compared to $72,576, a difference of 42.1%), and median family income ($123,369 compared to $88,265, a difference of 39.8%). Conversely, both communities are more comparable in terms of wage/income gap (28.0% compared to 27.7%, a difference of 1.0%), householder income under 25 years ($54,800 compared to $46,462, a difference of 17.9%), and median female earnings ($44,911 compared to $34,739, a difference of 29.3%).
Burmese vs Potawatomi Income
Income MetricBurmesePotawatomi
Per Capita Income
Exceptional
$52,005
Tragic
$38,046
Median Family Income
Exceptional
$123,369
Tragic
$88,265
Median Household Income
Exceptional
$103,145
Tragic
$72,576
Median Earnings
Exceptional
$54,559
Tragic
$41,288
Median Male Earnings
Exceptional
$65,236
Tragic
$48,768
Median Female Earnings
Exceptional
$44,911
Tragic
$34,739
Householder Age | Under 25 years
Exceptional
$54,800
Tragic
$46,462
Householder Age | 25 - 44 years
Exceptional
$113,701
Tragic
$81,774
Householder Age | 45 - 64 years
Exceptional
$121,444
Tragic
$84,613
Householder Age | Over 65 years
Exceptional
$71,139
Tragic
$54,212
Wage/Income Gap
Tragic
28.0%
Tragic
27.7%

Burmese vs Potawatomi Poverty

When considering poverty, the most significant differences between Burmese and Potawatomi communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 21.0%, a difference of 58.8%), child poverty among boys under 16 (13.0% compared to 19.4%, a difference of 49.4%), and child poverty under the age of 16 (12.8% compared to 19.0%, a difference of 48.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.7% compared to 12.1%, a difference of 3.7%), seniors poverty over the age of 65 (10.1% compared to 10.8%, a difference of 7.3%), and single father poverty (15.5% compared to 18.9%, a difference of 22.2%).
Burmese vs Potawatomi Poverty
Poverty MetricBurmesePotawatomi
Poverty
Exceptional
10.7%
Tragic
14.1%
Families
Exceptional
7.3%
Tragic
10.2%
Males
Exceptional
9.7%
Tragic
12.9%
Females
Exceptional
11.6%
Tragic
15.3%
Females 18 to 24 years
Exceptional
18.9%
Tragic
23.7%
Females 25 to 34 years
Exceptional
11.2%
Tragic
16.5%
Children Under 5 years
Exceptional
13.2%
Tragic
21.0%
Children Under 16 years
Exceptional
12.8%
Tragic
19.0%
Boys Under 16 years
Exceptional
13.0%
Tragic
19.4%
Girls Under 16 years
Exceptional
13.0%
Tragic
19.2%
Single Males
Exceptional
11.7%
Tragic
15.8%
Single Females
Exceptional
18.3%
Tragic
25.4%
Single Fathers
Exceptional
15.5%
Tragic
18.9%
Single Mothers
Exceptional
26.2%
Tragic
34.1%
Married Couples
Exceptional
4.3%
Poor
5.5%
Seniors Over 65 years
Exceptional
10.1%
Good
10.8%
Seniors Over 75 years
Excellent
11.7%
Average
12.1%
Receiving Food Stamps
Exceptional
8.6%
Poor
12.5%

Burmese vs Potawatomi Unemployment

When considering unemployment, the most significant differences between Burmese and Potawatomi communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 9.6%, a difference of 47.8%), unemployment among ages 30 to 34 years (5.1% compared to 6.0%, a difference of 17.2%), and unemployment among women with children under 18 years (4.9% compared to 5.7%, a difference of 15.8%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.0% compared to 17.2%, a difference of 1.6%), unemployment among ages 20 to 24 years (10.2% compared to 10.3%, a difference of 1.7%), and unemployment among youth under 25 years (11.3% compared to 11.6%, a difference of 2.0%).
Burmese vs Potawatomi Unemployment
Unemployment MetricBurmesePotawatomi
Unemployment
Exceptional
4.9%
Good
5.2%
Males
Exceptional
4.9%
Fair
5.3%
Females
Exceptional
5.0%
Good
5.2%
Youth < 25
Excellent
11.3%
Average
11.6%
Age | 16 to 19 years
Exceptional
17.0%
Excellent
17.2%
Age | 20 to 24 years
Excellent
10.2%
Average
10.3%
Age | 25 to 29 years
Exceptional
6.2%
Tragic
7.1%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
6.0%
Age | 35 to 44 years
Exceptional
4.3%
Tragic
5.0%
Age | 45 to 54 years
Exceptional
4.2%
Tragic
4.7%
Age | 55 to 59 years
Exceptional
4.5%
Good
4.8%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.6%
Age | 65 to 74 years
Exceptional
5.2%
Average
5.4%
Seniors > 65
Exceptional
5.0%
Good
5.1%
Seniors > 75
Exceptional
8.2%
Exceptional
7.8%
Women w/ Children < 6
Exceptional
6.5%
Tragic
9.6%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
8.5%
Women w/ Children < 18
Exceptional
4.9%
Tragic
5.7%

Burmese vs Potawatomi Labor Participation

When considering labor participation, the most significant differences between Burmese and Potawatomi communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 40.0%, a difference of 16.1%), in labor force | age > 16 (66.2% compared to 62.8%, a difference of 5.3%), and in labor force | age 45-54 (83.6% compared to 80.0%, a difference of 4.6%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 82.7%, a difference of 2.4%), in labor force | age 25-29 (85.1% compared to 82.9%, a difference of 2.7%), and in labor force | age 30-34 (85.3% compared to 82.8%, a difference of 3.0%).
Burmese vs Potawatomi Labor Participation
Labor Participation MetricBurmesePotawatomi
In Labor Force | Age > 16
Exceptional
66.2%
Tragic
62.8%
In Labor Force | Age 20-64
Exceptional
80.3%
Tragic
77.2%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
40.0%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
76.2%
In Labor Force | Age 25-29
Exceptional
85.1%
Tragic
82.9%
In Labor Force | Age 30-34
Exceptional
85.3%
Tragic
82.8%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
82.7%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
80.0%

Burmese vs Potawatomi Family Structure

When considering family structure, the most significant differences between Burmese and Potawatomi communities in the United States are seen in births to unmarried women (26.4% compared to 36.2%, a difference of 37.5%), divorced or separated (10.7% compared to 13.5%, a difference of 25.6%), and single mother households (5.3% compared to 6.6%, a difference of 24.9%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.16, a difference of 1.6%), family households (65.7% compared to 63.3%, a difference of 3.9%), and currently married (48.9% compared to 46.5%, a difference of 5.3%).
Burmese vs Potawatomi Family Structure
Family Structure MetricBurmesePotawatomi
Family Households
Exceptional
65.7%
Tragic
63.3%
Family Households with Children
Exceptional
28.5%
Tragic
26.9%
Married-couple Households
Exceptional
49.8%
Poor
45.7%
Average Family Size
Fair
3.22
Tragic
3.16
Single Father Households
Exceptional
2.0%
Tragic
2.5%
Single Mother Households
Exceptional
5.3%
Poor
6.6%
Currently Married
Exceptional
48.9%
Average
46.5%
Divorced or Separated
Exceptional
10.7%
Tragic
13.5%
Births to Unmarried Women
Exceptional
26.4%
Tragic
36.2%

Burmese vs Potawatomi Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Potawatomi communities in the United States are seen in no vehicles in household (9.7% compared to 8.8%, a difference of 9.4%), 4 or more vehicles in household (6.8% compared to 7.3%, a difference of 6.6%), and 3 or more vehicles in household (20.6% compared to 21.9%, a difference of 5.9%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.8% compared to 58.0%, a difference of 0.29%), 1 or more vehicles in household (90.4% compared to 91.3%, a difference of 0.97%), and 3 or more vehicles in household (20.6% compared to 21.9%, a difference of 5.9%).
Burmese vs Potawatomi Vehicle Availability
Vehicle Availability MetricBurmesePotawatomi
No Vehicles Available
Excellent
9.7%
Exceptional
8.8%
1+ Vehicles Available
Excellent
90.4%
Exceptional
91.3%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
58.0%
3+ Vehicles Available
Exceptional
20.6%
Exceptional
21.9%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
7.3%

Burmese vs Potawatomi Education Level

When considering education level, the most significant differences between Burmese and Potawatomi communities in the United States are seen in professional degree (6.1% compared to 3.6%, a difference of 72.5%), doctorate degree (2.6% compared to 1.6%, a difference of 68.8%), and master's degree (19.7% compared to 12.1%, a difference of 63.3%). Conversely, both communities are more comparable in terms of 9th grade (95.4% compared to 95.5%, a difference of 0.10%), 10th grade (94.5% compared to 94.3%, a difference of 0.18%), and nursery school (98.1% compared to 98.3%, a difference of 0.25%).
Burmese vs Potawatomi Education Level
Education Level MetricBurmesePotawatomi
No Schooling Completed
Excellent
1.9%
Exceptional
1.7%
Nursery School
Excellent
98.1%
Exceptional
98.3%
Kindergarten
Excellent
98.1%
Exceptional
98.3%
1st Grade
Excellent
98.0%
Exceptional
98.3%
2nd Grade
Excellent
98.0%
Exceptional
98.2%
3rd Grade
Good
97.9%
Exceptional
98.1%
4th Grade
Excellent
97.7%
Exceptional
97.9%
5th Grade
Excellent
97.5%
Exceptional
97.8%
6th Grade
Excellent
97.3%
Exceptional
97.6%
7th Grade
Excellent
96.3%
Exceptional
96.7%
8th Grade
Exceptional
96.1%
Exceptional
96.4%
9th Grade
Exceptional
95.4%
Exceptional
95.5%
10th Grade
Exceptional
94.5%
Exceptional
94.3%
11th Grade
Exceptional
93.6%
Good
92.8%
12th Grade, No Diploma
Exceptional
92.6%
Fair
91.0%
High School Diploma
Exceptional
90.8%
Average
89.0%
GED/Equivalency
Exceptional
88.3%
Tragic
84.7%
College, Under 1 year
Exceptional
71.9%
Tragic
61.8%
College, 1 year or more
Exceptional
66.7%
Tragic
54.6%
Associate's Degree
Exceptional
54.6%
Tragic
40.4%
Bachelor's Degree
Exceptional
46.9%
Tragic
31.9%
Master's Degree
Exceptional
19.7%
Tragic
12.1%
Professional Degree
Exceptional
6.1%
Tragic
3.6%
Doctorate Degree
Exceptional
2.6%
Tragic
1.6%

Burmese vs Potawatomi Disability

When considering disability, the most significant differences between Burmese and Potawatomi communities in the United States are seen in disability age 35 to 64 (9.2% compared to 14.8%, a difference of 60.2%), hearing disability (2.8% compared to 4.1%, a difference of 47.1%), and vision disability (1.8% compared to 2.6%, a difference of 43.2%). Conversely, both communities are more comparable in terms of disability age over 75 (45.9% compared to 49.0%, a difference of 6.8%), cognitive disability (16.7% compared to 18.0%, a difference of 8.1%), and self-care disability (2.3% compared to 2.6%, a difference of 16.9%).
Burmese vs Potawatomi Disability
Disability MetricBurmesePotawatomi
Disability
Exceptional
10.4%
Tragic
14.2%
Males
Exceptional
10.0%
Tragic
14.2%
Females
Exceptional
10.7%
Tragic
14.1%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.4%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
6.5%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
8.2%
Age | 35 to 64 years
Exceptional
9.2%
Tragic
14.8%
Age | 65 to 74 years
Exceptional
20.6%
Tragic
27.0%
Age | Over 75 years
Exceptional
45.9%
Tragic
49.0%
Vision
Exceptional
1.8%
Tragic
2.6%
Hearing
Exceptional
2.8%
Tragic
4.1%
Cognitive
Exceptional
16.7%
Tragic
18.0%
Ambulatory
Exceptional
5.3%
Tragic
7.3%
Self-Care
Exceptional
2.3%
Tragic
2.6%