Burmese vs Pakistani 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 EuropeanNorwegianOkinawanOsageOttawaPaiutePalestinianPanamanianParaguayanPennsylvania 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
Pakistani
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

Pakistanis

Exceptional
Good
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
8,084
SOCIAL INDEX
78.3/ 100
SOCIAL RATING
88th/ 347
SOCIAL RANK

Pakistani Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 317,898,645 people shows a poor positive correlation between the proportion of Pakistanis within Burmese communities in the United States with a correlation coefficient (R) of 0.153. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.004% in Pakistanis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 4.0 Pakistanis.
Burmese Integration in Pakistani Communities

Burmese vs Pakistani Income

When considering income, the most significant differences between Burmese and Pakistani communities in the United States are seen in householder income ages 25 - 44 years ($113,701 compared to $98,401, a difference of 15.5%), householder income ages 45 - 64 years ($121,444 compared to $105,317, a difference of 15.3%), and median household income ($103,145 compared to $89,638, a difference of 15.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $53,325, a difference of 2.8%), wage/income gap (28.0% compared to 26.1%, a difference of 7.5%), and median female earnings ($44,911 compared to $40,596, a difference of 10.6%).
Burmese vs Pakistani Income
Income MetricBurmesePakistani
Per Capita Income
Exceptional
$52,005
Excellent
$45,587
Median Family Income
Exceptional
$123,369
Exceptional
$107,390
Median Household Income
Exceptional
$103,145
Exceptional
$89,638
Median Earnings
Exceptional
$54,559
Exceptional
$48,254
Median Male Earnings
Exceptional
$65,236
Excellent
$56,719
Median Female Earnings
Exceptional
$44,911
Excellent
$40,596
Householder Age | Under 25 years
Exceptional
$54,800
Exceptional
$53,325
Householder Age | 25 - 44 years
Exceptional
$113,701
Excellent
$98,401
Householder Age | 45 - 64 years
Exceptional
$121,444
Exceptional
$105,317
Householder Age | Over 65 years
Exceptional
$71,139
Exceptional
$63,844
Wage/Income Gap
Tragic
28.0%
Fair
26.1%

Burmese vs Pakistani Poverty

When considering poverty, the most significant differences between Burmese and Pakistani communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 16.0%, a difference of 20.9%), receiving food stamps (8.6% compared to 10.4%, a difference of 20.7%), and child poverty among girls under 16 (13.0% compared to 15.3%, a difference of 17.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.7% compared to 11.8%, a difference of 0.84%), single father poverty (15.5% compared to 15.7%, a difference of 1.7%), and seniors poverty over the age of 65 (10.1% compared to 10.3%, a difference of 2.6%).
Burmese vs Pakistani Poverty
Poverty MetricBurmesePakistani
Poverty
Exceptional
10.7%
Excellent
11.9%
Families
Exceptional
7.3%
Exceptional
8.3%
Males
Exceptional
9.7%
Excellent
10.8%
Females
Exceptional
11.6%
Excellent
12.9%
Females 18 to 24 years
Exceptional
18.9%
Good
19.8%
Females 25 to 34 years
Exceptional
11.2%
Excellent
13.0%
Children Under 5 years
Exceptional
13.2%
Exceptional
16.0%
Children Under 16 years
Exceptional
12.8%
Exceptional
15.0%
Boys Under 16 years
Exceptional
13.0%
Exceptional
15.1%
Girls Under 16 years
Exceptional
13.0%
Exceptional
15.3%
Single Males
Exceptional
11.7%
Exceptional
12.4%
Single Females
Exceptional
18.3%
Exceptional
20.2%
Single Fathers
Exceptional
15.5%
Exceptional
15.7%
Single Mothers
Exceptional
26.2%
Exceptional
28.0%
Married Couples
Exceptional
4.3%
Exceptional
4.7%
Seniors Over 65 years
Exceptional
10.1%
Exceptional
10.3%
Seniors Over 75 years
Excellent
11.7%
Excellent
11.8%
Receiving Food Stamps
Exceptional
8.6%
Exceptional
10.4%

Burmese vs Pakistani Unemployment

When considering unemployment, the most significant differences between Burmese and Pakistani communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 7.3%, a difference of 13.2%), unemployment among seniors over 75 years (8.2% compared to 8.9%, a difference of 8.5%), and unemployment among ages 35 to 44 years (4.3% compared to 4.6%, a difference of 7.2%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.3% compared to 11.3%, a difference of 0.60%), unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.89%), and unemployment among ages 65 to 74 years (5.2% compared to 5.3%, a difference of 1.2%).
Burmese vs Pakistani Unemployment
Unemployment MetricBurmesePakistani
Unemployment
Exceptional
4.9%
Excellent
5.1%
Males
Exceptional
4.9%
Excellent
5.2%
Females
Exceptional
5.0%
Excellent
5.1%
Youth < 25
Excellent
11.3%
Exceptional
11.3%
Age | 16 to 19 years
Exceptional
17.0%
Excellent
17.2%
Age | 20 to 24 years
Excellent
10.2%
Exceptional
9.8%
Age | 25 to 29 years
Exceptional
6.2%
Excellent
6.5%
Age | 30 to 34 years
Exceptional
5.1%
Good
5.4%
Age | 35 to 44 years
Exceptional
4.3%
Good
4.6%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.4%
Age | 55 to 59 years
Exceptional
4.5%
Excellent
4.7%
Age | 60 to 64 years
Excellent
4.8%
Good
4.8%
Age | 65 to 74 years
Exceptional
5.2%
Excellent
5.3%
Seniors > 65
Exceptional
5.0%
Good
5.1%
Seniors > 75
Exceptional
8.2%
Fair
8.9%
Women w/ Children < 6
Exceptional
6.5%
Exceptional
7.3%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
8.4%
Women w/ Children < 18
Exceptional
4.9%
Excellent
5.2%

Burmese vs Pakistani Labor Participation

When considering labor participation, the most significant differences between Burmese and Pakistani communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 37.6%, a difference of 8.9%), in labor force | age 20-24 (73.6% compared to 75.8%, a difference of 3.0%), and in labor force | age 45-54 (83.6% compared to 82.8%, a difference of 1.0%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 84.4%, a difference of 0.40%), in labor force | age 25-29 (85.1% compared to 84.8%, a difference of 0.42%), and in labor force | age 30-34 (85.3% compared to 84.7%, a difference of 0.60%).
Burmese vs Pakistani Labor Participation
Labor Participation MetricBurmesePakistani
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
65.8%
In Labor Force | Age 20-64
Exceptional
80.3%
Good
79.8%
In Labor Force | Age 16-19
Tragic
34.5%
Excellent
37.6%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
75.8%
In Labor Force | Age 25-29
Exceptional
85.1%
Good
84.8%
In Labor Force | Age 30-34
Exceptional
85.3%
Good
84.7%
In Labor Force | Age 35-44
Exceptional
84.7%
Average
84.4%
In Labor Force | Age 45-54
Exceptional
83.6%
Average
82.8%

Burmese vs Pakistani Family Structure

When considering family structure, the most significant differences between Burmese and Pakistani communities in the United States are seen in births to unmarried women (26.4% compared to 30.5%, a difference of 15.6%), single mother households (5.3% compared to 6.1%, a difference of 15.0%), and single father households (2.0% compared to 2.3%, a difference of 13.1%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.22, a difference of 0.060%), family households (65.7% compared to 64.7%, a difference of 1.7%), and family households with children (28.5% compared to 27.9%, a difference of 2.0%).
Burmese vs Pakistani Family Structure
Family Structure MetricBurmesePakistani
Family Households
Exceptional
65.7%
Excellent
64.7%
Family Households with Children
Exceptional
28.5%
Exceptional
27.9%
Married-couple Households
Exceptional
49.8%
Excellent
47.3%
Average Family Size
Fair
3.22
Fair
3.22
Single Father Households
Exceptional
2.0%
Good
2.3%
Single Mother Households
Exceptional
5.3%
Good
6.1%
Currently Married
Exceptional
48.9%
Good
47.2%
Divorced or Separated
Exceptional
10.7%
Excellent
11.9%
Births to Unmarried Women
Exceptional
26.4%
Excellent
30.5%

Burmese vs Pakistani Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Pakistani communities in the United States are seen in no vehicles in household (9.7% compared to 9.0%, a difference of 7.8%), 4 or more vehicles in household (6.8% compared to 7.0%, a difference of 2.8%), and 3 or more vehicles in household (20.6% compared to 21.0%, a difference of 1.9%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.8% compared to 57.9%, a difference of 0.15%), 1 or more vehicles in household (90.4% compared to 91.3%, a difference of 0.96%), and 3 or more vehicles in household (20.6% compared to 21.0%, a difference of 1.9%).
Burmese vs Pakistani Vehicle Availability
Vehicle Availability MetricBurmesePakistani
No Vehicles Available
Excellent
9.7%
Exceptional
9.0%
1+ Vehicles Available
Excellent
90.4%
Exceptional
91.3%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
57.9%
3+ Vehicles Available
Exceptional
20.6%
Exceptional
21.0%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
7.0%

Burmese vs Pakistani Education Level

When considering education level, the most significant differences between Burmese and Pakistani communities in the United States are seen in professional degree (6.1% compared to 4.8%, a difference of 28.7%), doctorate degree (2.6% compared to 2.0%, a difference of 28.6%), and master's degree (19.7% compared to 15.8%, a difference of 24.7%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 97.9%, a difference of 0.16%), kindergarten (98.1% compared to 97.9%, a difference of 0.16%), and 1st grade (98.0% compared to 97.9%, a difference of 0.16%).
Burmese vs Pakistani Education Level
Education Level MetricBurmesePakistani
No Schooling Completed
Excellent
1.9%
Average
2.1%
Nursery School
Excellent
98.1%
Fair
97.9%
Kindergarten
Excellent
98.1%
Fair
97.9%
1st Grade
Excellent
98.0%
Fair
97.9%
2nd Grade
Excellent
98.0%
Fair
97.8%
3rd Grade
Good
97.9%
Fair
97.7%
4th Grade
Excellent
97.7%
Fair
97.5%
5th Grade
Excellent
97.5%
Average
97.3%
6th Grade
Excellent
97.3%
Average
97.0%
7th Grade
Excellent
96.3%
Average
96.0%
8th Grade
Exceptional
96.1%
Average
95.7%
9th Grade
Exceptional
95.4%
Good
95.0%
10th Grade
Exceptional
94.5%
Good
93.9%
11th Grade
Exceptional
93.6%
Good
92.8%
12th Grade, No Diploma
Exceptional
92.6%
Good
91.5%
High School Diploma
Exceptional
90.8%
Good
89.6%
GED/Equivalency
Exceptional
88.3%
Excellent
86.4%
College, Under 1 year
Exceptional
71.9%
Exceptional
67.5%
College, 1 year or more
Exceptional
66.7%
Exceptional
61.5%
Associate's Degree
Exceptional
54.6%
Excellent
48.1%
Bachelor's Degree
Exceptional
46.9%
Excellent
39.7%
Master's Degree
Exceptional
19.7%
Excellent
15.8%
Professional Degree
Exceptional
6.1%
Exceptional
4.8%
Doctorate Degree
Exceptional
2.6%
Exceptional
2.0%

Burmese vs Pakistani Disability

When considering disability, the most significant differences between Burmese and Pakistani communities in the United States are seen in disability age 35 to 64 (9.2% compared to 11.1%, a difference of 20.7%), vision disability (1.8% compared to 2.1%, a difference of 15.4%), and disability age 5 to 17 (4.8% compared to 5.5%, a difference of 14.4%). Conversely, both communities are more comparable in terms of disability age over 75 (45.9% compared to 47.7%, a difference of 3.8%), cognitive disability (16.7% compared to 17.3%, a difference of 3.9%), and self-care disability (2.3% compared to 2.4%, a difference of 8.0%).
Burmese vs Pakistani Disability
Disability MetricBurmesePakistani
Disability
Exceptional
10.4%
Average
11.7%
Males
Exceptional
10.0%
Fair
11.3%
Females
Exceptional
10.7%
Excellent
12.0%
Age | Under 5 years
Exceptional
1.1%
Poor
1.3%
Age | 5 to 17 years
Exceptional
4.8%
Excellent
5.5%
Age | 18 to 34 years
Exceptional
6.0%
Fair
6.7%
Age | 35 to 64 years
Exceptional
9.2%
Good
11.1%
Age | 65 to 74 years
Exceptional
20.6%
Average
23.2%
Age | Over 75 years
Exceptional
45.9%
Fair
47.7%
Vision
Exceptional
1.8%
Good
2.1%
Hearing
Exceptional
2.8%
Poor
3.1%
Cognitive
Exceptional
16.7%
Average
17.3%
Ambulatory
Exceptional
5.3%
Excellent
6.0%
Self-Care
Exceptional
2.3%
Good
2.4%