Bhutanese vs Pima Community Comparison

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Bhutanese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto 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
Pima
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBlackfeetBolivianBrazilianBritishBritish 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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Bhutanese

Pima

Exceptional
Poor
10,144
SOCIAL INDEX
98.9/ 100
SOCIAL RATING
3rd/ 347
SOCIAL RANK
1,700
SOCIAL INDEX
14.5/ 100
SOCIAL RATING
291st/ 347
SOCIAL RANK

Pima Integration in Bhutanese Communities

The statistical analysis conducted on geographies consisting of 60,413,536 people shows a substantial positive correlation between the proportion of Pima within Bhutanese communities in the United States with a correlation coefficient (R) of 0.527. On average, for every 1% (one percent) increase in Bhutanese within a typical geography, there is an increase of 0.002% in Pima. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bhutanese corresponds to an increase of 2.5 Pima.
Bhutanese Integration in Pima Communities

Bhutanese vs Pima Income

When considering income, the most significant differences between Bhutanese and Pima communities in the United States are seen in per capita income ($49,894 compared to $30,644, a difference of 62.8%), householder income ages 45 - 64 years ($117,750 compared to $73,365, a difference of 60.5%), and median household income ($100,151 compared to $63,262, a difference of 58.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,078 compared to $51,503, a difference of 10.8%), median female earnings ($43,648 compared to $35,326, a difference of 23.6%), and wage/income gap (27.0% compared to 21.1%, a difference of 27.8%).
Bhutanese vs Pima Income
Income MetricBhutanesePima
Per Capita Income
Exceptional
$49,894
Tragic
$30,644
Median Family Income
Exceptional
$119,800
Tragic
$77,431
Median Household Income
Exceptional
$100,151
Tragic
$63,262
Median Earnings
Exceptional
$52,297
Tragic
$38,285
Median Male Earnings
Exceptional
$61,759
Tragic
$42,357
Median Female Earnings
Exceptional
$43,648
Tragic
$35,326
Householder Age | Under 25 years
Exceptional
$57,078
Poor
$51,503
Householder Age | 25 - 44 years
Exceptional
$109,520
Tragic
$82,821
Householder Age | 45 - 64 years
Exceptional
$117,750
Tragic
$73,365
Householder Age | Over 65 years
Exceptional
$72,288
Tragic
$50,539
Wage/Income Gap
Tragic
27.0%
Exceptional
21.1%

Bhutanese vs Pima Poverty

When considering poverty, the most significant differences between Bhutanese and Pima communities in the United States are seen in married-couple family poverty (4.1% compared to 11.4%, a difference of 178.5%), family poverty (7.0% compared to 18.4%, a difference of 160.6%), and child poverty among boys under 16 (12.6% compared to 29.7%, a difference of 136.1%). Conversely, both communities are more comparable in terms of single father poverty (15.0% compared to 14.8%, a difference of 1.4%), single mother poverty (25.6% compared to 38.6%, a difference of 50.6%), and female poverty among 18-24 year olds (18.2% compared to 28.4%, a difference of 56.1%).
Bhutanese vs Pima Poverty
Poverty MetricBhutanesePima
Poverty
Exceptional
10.4%
Tragic
21.9%
Families
Exceptional
7.0%
Tragic
18.4%
Males
Exceptional
9.5%
Tragic
20.4%
Females
Exceptional
11.3%
Tragic
23.6%
Females 18 to 24 years
Exceptional
18.2%
Tragic
28.4%
Females 25 to 34 years
Exceptional
11.4%
Tragic
25.3%
Children Under 5 years
Exceptional
13.4%
Tragic
27.4%
Children Under 16 years
Exceptional
12.5%
Tragic
29.0%
Boys Under 16 years
Exceptional
12.6%
Tragic
29.7%
Girls Under 16 years
Exceptional
12.7%
Tragic
28.2%
Single Males
Exceptional
11.1%
Tragic
20.2%
Single Females
Exceptional
17.7%
Tragic
30.3%
Single Fathers
Exceptional
15.0%
Exceptional
14.8%
Single Mothers
Exceptional
25.6%
Tragic
38.6%
Married Couples
Exceptional
4.1%
Tragic
11.4%
Seniors Over 65 years
Exceptional
9.3%
Tragic
19.8%
Seniors Over 75 years
Exceptional
10.6%
Tragic
23.9%
Receiving Food Stamps
Exceptional
9.2%
Tragic
19.0%

Bhutanese vs Pima Unemployment

When considering unemployment, the most significant differences between Bhutanese and Pima communities in the United States are seen in unemployment among ages 35 to 44 years (4.4% compared to 11.8%, a difference of 169.9%), unemployment among women with children under 18 years (5.0% compared to 11.7%, a difference of 134.6%), and unemployment among women with children ages 6 to 17 years (8.1% compared to 18.9%, a difference of 134.2%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.5% compared to 4.8%, a difference of 5.3%), unemployment among seniors over 75 years (8.0% compared to 9.2%, a difference of 14.5%), and unemployment among seniors over 65 years (4.8% compared to 6.3%, a difference of 29.8%).
Bhutanese vs Pima Unemployment
Unemployment MetricBhutanesePima
Unemployment
Exceptional
4.9%
Tragic
8.2%
Males
Exceptional
4.9%
Tragic
8.3%
Females
Exceptional
4.9%
Tragic
9.3%
Youth < 25
Exceptional
11.2%
Tragic
16.2%
Age | 16 to 19 years
Exceptional
16.4%
Tragic
23.1%
Age | 20 to 24 years
Exceptional
10.0%
Tragic
14.2%
Age | 25 to 29 years
Exceptional
6.2%
Tragic
11.8%
Age | 30 to 34 years
Exceptional
5.2%
Tragic
9.6%
Age | 35 to 44 years
Exceptional
4.4%
Tragic
11.8%
Age | 45 to 54 years
Exceptional
4.2%
Tragic
6.4%
Age | 55 to 59 years
Exceptional
4.6%
Tragic
6.6%
Age | 60 to 64 years
Exceptional
4.5%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.0%
Tragic
6.6%
Seniors > 65
Exceptional
4.8%
Tragic
6.3%
Seniors > 75
Exceptional
8.0%
Tragic
9.2%
Women w/ Children < 6
Exceptional
6.7%
Tragic
13.4%
Women w/ Children 6 to 17
Exceptional
8.1%
Tragic
18.9%
Women w/ Children < 18
Exceptional
5.0%
Tragic
11.7%

Bhutanese vs Pima Labor Participation

When considering labor participation, the most significant differences between Bhutanese and Pima communities in the United States are seen in in labor force | age 20-64 (80.2% compared to 69.0%, a difference of 16.2%), in labor force | age 45-54 (83.5% compared to 72.8%, a difference of 14.6%), and in labor force | age 25-29 (84.8% compared to 74.3%, a difference of 14.2%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (36.3% compared to 34.1%, a difference of 6.5%), in labor force | age 30-34 (85.0% compared to 79.0%, a difference of 7.5%), and in labor force | age 20-24 (75.4% compared to 69.0%, a difference of 9.3%).
Bhutanese vs Pima Labor Participation
Labor Participation MetricBhutanesePima
In Labor Force | Age > 16
Excellent
65.5%
Tragic
57.4%
In Labor Force | Age 20-64
Exceptional
80.2%
Tragic
69.0%
In Labor Force | Age 16-19
Fair
36.3%
Tragic
34.1%
In Labor Force | Age 20-24
Excellent
75.4%
Tragic
69.0%
In Labor Force | Age 25-29
Good
84.8%
Tragic
74.3%
In Labor Force | Age 30-34
Excellent
85.0%
Tragic
79.0%
In Labor Force | Age 35-44
Excellent
84.7%
Tragic
74.8%
In Labor Force | Age 45-54
Exceptional
83.5%
Tragic
72.8%

Bhutanese vs Pima Family Structure

When considering family structure, the most significant differences between Bhutanese and Pima communities in the United States are seen in single father households (2.1% compared to 4.2%, a difference of 97.6%), births to unmarried women (27.9% compared to 51.5%, a difference of 84.7%), and single mother households (5.3% compared to 8.3%, a difference of 56.9%). Conversely, both communities are more comparable in terms of family households (65.9% compared to 65.9%, a difference of 0.13%), family households with children (27.3% compared to 27.1%, a difference of 0.67%), and divorced or separated (11.2% compared to 12.9%, a difference of 15.2%).
Bhutanese vs Pima Family Structure
Family Structure MetricBhutanesePima
Family Households
Exceptional
65.9%
Exceptional
65.9%
Family Households with Children
Fair
27.3%
Tragic
27.1%
Married-couple Households
Exceptional
49.3%
Tragic
35.6%
Average Family Size
Excellent
3.25
Exceptional
3.75
Single Father Households
Exceptional
2.1%
Tragic
4.2%
Single Mother Households
Exceptional
5.3%
Tragic
8.3%
Currently Married
Exceptional
48.6%
Tragic
35.9%
Divorced or Separated
Exceptional
11.2%
Tragic
12.9%
Births to Unmarried Women
Exceptional
27.9%
Tragic
51.5%

Bhutanese vs Pima Vehicle Availability

When considering vehicle availability, the most significant differences between Bhutanese and Pima communities in the United States are seen in no vehicles in household (8.7% compared to 14.1%, a difference of 62.2%), 2 or more vehicles in household (59.1% compared to 52.0%, a difference of 13.6%), and 1 or more vehicles in household (91.4% compared to 86.3%, a difference of 5.9%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (7.8% compared to 7.9%, a difference of 0.86%), 3 or more vehicles in household (22.2% compared to 22.0%, a difference of 0.96%), and 1 or more vehicles in household (91.4% compared to 86.3%, a difference of 5.9%).
Bhutanese vs Pima Vehicle Availability
Vehicle Availability MetricBhutanesePima
No Vehicles Available
Exceptional
8.7%
Tragic
14.1%
1+ Vehicles Available
Exceptional
91.4%
Tragic
86.3%
2+ Vehicles Available
Exceptional
59.1%
Tragic
52.0%
3+ Vehicles Available
Exceptional
22.2%
Exceptional
22.0%
4+ Vehicles Available
Exceptional
7.8%
Exceptional
7.9%

Bhutanese vs Pima Education Level

When considering education level, the most significant differences between Bhutanese and Pima communities in the United States are seen in master's degree (17.2% compared to 9.2%, a difference of 85.9%), bachelor's degree (42.7% compared to 23.2%, a difference of 83.9%), and doctorate degree (2.3% compared to 1.3%, a difference of 76.0%). Conversely, both communities are more comparable in terms of kindergarten (98.2% compared to 98.2%, a difference of 0.0%), 2nd grade (98.1% compared to 98.2%, a difference of 0.0%), and nursery school (98.2% compared to 98.2%, a difference of 0.010%).
Bhutanese vs Pima Education Level
Education Level MetricBhutanesePima
No Schooling Completed
Exceptional
1.8%
Average
2.1%
Nursery School
Exceptional
98.2%
Exceptional
98.2%
Kindergarten
Exceptional
98.2%
Exceptional
98.2%
1st Grade
Exceptional
98.2%
Exceptional
98.2%
2nd Grade
Exceptional
98.1%
Exceptional
98.2%
3rd Grade
Exceptional
98.1%
Exceptional
98.0%
4th Grade
Exceptional
97.9%
Exceptional
97.7%
5th Grade
Exceptional
97.7%
Exceptional
97.6%
6th Grade
Exceptional
97.5%
Excellent
97.2%
7th Grade
Exceptional
96.6%
Good
96.1%
8th Grade
Exceptional
96.4%
Fair
95.6%
9th Grade
Exceptional
95.7%
Tragic
93.9%
10th Grade
Exceptional
94.9%
Tragic
91.2%
11th Grade
Exceptional
94.0%
Tragic
88.3%
12th Grade, No Diploma
Exceptional
93.0%
Tragic
84.6%
High School Diploma
Exceptional
91.2%
Tragic
81.6%
GED/Equivalency
Exceptional
88.4%
Tragic
76.4%
College, Under 1 year
Exceptional
70.3%
Tragic
51.4%
College, 1 year or more
Exceptional
64.6%
Tragic
45.6%
Associate's Degree
Exceptional
51.4%
Tragic
30.2%
Bachelor's Degree
Exceptional
42.7%
Tragic
23.2%
Master's Degree
Exceptional
17.2%
Tragic
9.2%
Professional Degree
Exceptional
5.4%
Tragic
3.3%
Doctorate Degree
Exceptional
2.3%
Tragic
1.3%

Bhutanese vs Pima Disability

When considering disability, the most significant differences between Bhutanese and Pima communities in the United States are seen in disability age 65 to 74 (21.5% compared to 38.6%, a difference of 79.6%), vision disability (2.0% compared to 3.3%, a difference of 69.9%), and disability age 35 to 64 (9.8% compared to 16.1%, a difference of 64.1%). Conversely, both communities are more comparable in terms of disability age under 5 (1.2% compared to 1.1%, a difference of 10.2%), cognitive disability (16.6% compared to 18.8%, a difference of 13.4%), and hearing disability (3.2% compared to 3.7%, a difference of 15.7%).
Bhutanese vs Pima Disability
Disability MetricBhutanesePima
Disability
Exceptional
11.2%
Tragic
13.7%
Males
Excellent
11.0%
Tragic
12.8%
Females
Exceptional
11.5%
Tragic
14.8%
Age | Under 5 years
Exceptional
1.2%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
4.9%
Tragic
6.2%
Age | 18 to 34 years
Exceptional
6.2%
Tragic
7.7%
Age | 35 to 64 years
Exceptional
9.8%
Tragic
16.1%
Age | 65 to 74 years
Exceptional
21.5%
Tragic
38.6%
Age | Over 75 years
Good
47.1%
Tragic
55.8%
Vision
Exceptional
2.0%
Tragic
3.3%
Hearing
Tragic
3.2%
Tragic
3.7%
Cognitive
Exceptional
16.6%
Tragic
18.8%
Ambulatory
Exceptional
5.8%
Tragic
8.2%
Self-Care
Exceptional
2.4%
Tragic
2.8%