Burmese vs Guatemalan 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/ChamorroGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (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
Guatemalan
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

Guatemalans

Exceptional
Poor
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
1,497
SOCIAL INDEX
12.5/ 100
SOCIAL RATING
305th/ 347
SOCIAL RANK

Guatemalan Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 369,148,536 people shows a weak positive correlation between the proportion of Guatemalans within Burmese communities in the United States with a correlation coefficient (R) of 0.280. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.036% in Guatemalans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 36.4 Guatemalans.
Burmese Integration in Guatemalan Communities

Burmese vs Guatemalan Income

When considering income, the most significant differences between Burmese and Guatemalan communities in the United States are seen in median family income ($123,369 compared to $88,295, a difference of 39.7%), median male earnings ($65,236 compared to $46,736, a difference of 39.6%), and householder income ages 45 - 64 years ($121,444 compared to $87,705, a difference of 38.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $51,525, a difference of 6.4%), wage/income gap (28.0% compared to 22.6%, a difference of 23.8%), and median female earnings ($44,911 compared to $35,695, a difference of 25.8%).
Burmese vs Guatemalan Income
Income MetricBurmeseGuatemalan
Per Capita Income
Exceptional
$52,005
Tragic
$37,766
Median Family Income
Exceptional
$123,369
Tragic
$88,295
Median Household Income
Exceptional
$103,145
Tragic
$75,961
Median Earnings
Exceptional
$54,559
Tragic
$41,205
Median Male Earnings
Exceptional
$65,236
Tragic
$46,736
Median Female Earnings
Exceptional
$44,911
Tragic
$35,695
Householder Age | Under 25 years
Exceptional
$54,800
Poor
$51,525
Householder Age | 25 - 44 years
Exceptional
$113,701
Tragic
$82,331
Householder Age | 45 - 64 years
Exceptional
$121,444
Tragic
$87,705
Householder Age | Over 65 years
Exceptional
$71,139
Tragic
$54,526
Wage/Income Gap
Tragic
28.0%
Exceptional
22.6%

Burmese vs Guatemalan Poverty

When considering poverty, the most significant differences between Burmese and Guatemalan communities in the United States are seen in receiving food stamps (8.6% compared to 14.4%, a difference of 66.7%), child poverty under the age of 16 (12.8% compared to 21.2%, a difference of 65.3%), and child poverty among girls under 16 (13.0% compared to 21.4%, a difference of 64.5%). Conversely, both communities are more comparable in terms of single father poverty (15.5% compared to 16.6%, a difference of 7.6%), female poverty among 18-24 year olds (18.9% compared to 20.7%, a difference of 9.5%), and single male poverty (11.7% compared to 13.8%, a difference of 17.4%).
Burmese vs Guatemalan Poverty
Poverty MetricBurmeseGuatemalan
Poverty
Exceptional
10.7%
Tragic
15.3%
Families
Exceptional
7.3%
Tragic
11.7%
Males
Exceptional
9.7%
Tragic
13.8%
Females
Exceptional
11.6%
Tragic
16.7%
Females 18 to 24 years
Exceptional
18.9%
Tragic
20.7%
Females 25 to 34 years
Exceptional
11.2%
Tragic
16.4%
Children Under 5 years
Exceptional
13.2%
Tragic
21.6%
Children Under 16 years
Exceptional
12.8%
Tragic
21.2%
Boys Under 16 years
Exceptional
13.0%
Tragic
21.1%
Girls Under 16 years
Exceptional
13.0%
Tragic
21.4%
Single Males
Exceptional
11.7%
Tragic
13.8%
Single Females
Exceptional
18.3%
Tragic
23.8%
Single Fathers
Exceptional
15.5%
Poor
16.6%
Single Mothers
Exceptional
26.2%
Tragic
32.9%
Married Couples
Exceptional
4.3%
Tragic
7.0%
Seniors Over 65 years
Exceptional
10.1%
Tragic
13.5%
Seniors Over 75 years
Excellent
11.7%
Tragic
14.8%
Receiving Food Stamps
Exceptional
8.6%
Tragic
14.4%

Burmese vs Guatemalan Unemployment

When considering unemployment, the most significant differences between Burmese and Guatemalan communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 8.7%, a difference of 33.6%), unemployment among women with children under 18 years (4.9% compared to 6.3%, a difference of 27.1%), and female unemployment (5.0% compared to 6.0%, a difference of 20.0%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.2% compared to 10.5%, a difference of 3.3%), unemployment among youth under 25 years (11.3% compared to 12.1%, a difference of 6.8%), and unemployment among seniors over 75 years (8.2% compared to 8.8%, a difference of 7.6%).
Burmese vs Guatemalan Unemployment
Unemployment MetricBurmeseGuatemalan
Unemployment
Exceptional
4.9%
Tragic
5.8%
Males
Exceptional
4.9%
Tragic
5.6%
Females
Exceptional
5.0%
Tragic
6.0%
Youth < 25
Excellent
11.3%
Tragic
12.1%
Age | 16 to 19 years
Exceptional
17.0%
Tragic
18.6%
Age | 20 to 24 years
Excellent
10.2%
Poor
10.5%
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
5.1%
Age | 45 to 54 years
Exceptional
4.2%
Tragic
4.9%
Age | 55 to 59 years
Exceptional
4.5%
Tragic
5.3%
Age | 60 to 64 years
Excellent
4.8%
Tragic
5.2%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
5.8%
Seniors > 65
Exceptional
5.0%
Tragic
5.6%
Seniors > 75
Exceptional
8.2%
Fair
8.8%
Women w/ Children < 6
Exceptional
6.5%
Tragic
8.7%
Women w/ Children 6 to 17
Exceptional
8.0%
Tragic
9.3%
Women w/ Children < 18
Exceptional
4.9%
Tragic
6.3%

Burmese vs Guatemalan Labor Participation

When considering labor participation, the most significant differences between Burmese and Guatemalan communities in the United States are seen in in labor force | age 45-54 (83.6% compared to 81.2%, a difference of 3.0%), in labor force | age 16-19 (34.5% compared to 35.5%, a difference of 2.9%), and in labor force | age 20-24 (73.6% compared to 75.3%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.2% compared to 65.6%, a difference of 0.93%), in labor force | age 25-29 (85.1% compared to 83.7%, a difference of 1.7%), and in labor force | age 30-34 (85.3% compared to 83.7%, a difference of 1.8%).
Burmese vs Guatemalan Labor Participation
Labor Participation MetricBurmeseGuatemalan
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
65.6%
In Labor Force | Age 20-64
Exceptional
80.3%
Tragic
78.7%
In Labor Force | Age 16-19
Tragic
34.5%
Tragic
35.5%
In Labor Force | Age 20-24
Tragic
73.6%
Good
75.3%
In Labor Force | Age 25-29
Exceptional
85.1%
Tragic
83.7%
In Labor Force | Age 30-34
Exceptional
85.3%
Tragic
83.7%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
83.0%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
81.2%

Burmese vs Guatemalan Family Structure

When considering family structure, the most significant differences between Burmese and Guatemalan communities in the United States are seen in single father households (2.0% compared to 3.0%, a difference of 45.8%), single mother households (5.3% compared to 7.7%, a difference of 44.9%), and births to unmarried women (26.4% compared to 37.1%, a difference of 40.8%). Conversely, both communities are more comparable in terms of family households (65.7% compared to 65.2%, a difference of 0.81%), family households with children (28.5% compared to 28.9%, a difference of 1.4%), and average family size (3.22 compared to 3.40, a difference of 5.9%).
Burmese vs Guatemalan Family Structure
Family Structure MetricBurmeseGuatemalan
Family Households
Exceptional
65.7%
Exceptional
65.2%
Family Households with Children
Exceptional
28.5%
Exceptional
28.9%
Married-couple Households
Exceptional
49.8%
Tragic
43.3%
Average Family Size
Fair
3.22
Exceptional
3.40
Single Father Households
Exceptional
2.0%
Tragic
3.0%
Single Mother Households
Exceptional
5.3%
Tragic
7.7%
Currently Married
Exceptional
48.9%
Tragic
42.9%
Divorced or Separated
Exceptional
10.7%
Fair
12.2%
Births to Unmarried Women
Exceptional
26.4%
Tragic
37.1%

Burmese vs Guatemalan Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Guatemalan communities in the United States are seen in no vehicles in household (9.7% compared to 11.0%, a difference of 13.6%), 2 or more vehicles in household (57.8% compared to 54.1%, a difference of 6.8%), and 3 or more vehicles in household (20.6% compared to 20.1%, a difference of 2.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 89.2%, a difference of 1.4%), 4 or more vehicles in household (6.8% compared to 7.0%, a difference of 1.9%), and 3 or more vehicles in household (20.6% compared to 20.1%, a difference of 2.9%).
Burmese vs Guatemalan Vehicle Availability
Vehicle Availability MetricBurmeseGuatemalan
No Vehicles Available
Excellent
9.7%
Poor
11.0%
1+ Vehicles Available
Excellent
90.4%
Poor
89.2%
2+ Vehicles Available
Exceptional
57.8%
Tragic
54.1%
3+ Vehicles Available
Exceptional
20.6%
Excellent
20.1%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
7.0%

Burmese vs Guatemalan Education Level

When considering education level, the most significant differences between Burmese and Guatemalan communities in the United States are seen in doctorate degree (2.6% compared to 1.4%, a difference of 86.7%), no schooling completed (1.9% compared to 3.5%, a difference of 77.5%), and professional degree (6.1% compared to 3.5%, a difference of 77.1%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 96.6%, a difference of 1.6%), kindergarten (98.1% compared to 96.5%, a difference of 1.6%), and 1st grade (98.0% compared to 96.5%, a difference of 1.6%).
Burmese vs Guatemalan Education Level
Education Level MetricBurmeseGuatemalan
No Schooling Completed
Excellent
1.9%
Tragic
3.5%
Nursery School
Excellent
98.1%
Tragic
96.6%
Kindergarten
Excellent
98.1%
Tragic
96.5%
1st Grade
Excellent
98.0%
Tragic
96.5%
2nd Grade
Excellent
98.0%
Tragic
96.3%
3rd Grade
Good
97.9%
Tragic
96.0%
4th Grade
Excellent
97.7%
Tragic
95.3%
5th Grade
Excellent
97.5%
Tragic
94.8%
6th Grade
Excellent
97.3%
Tragic
94.2%
7th Grade
Excellent
96.3%
Tragic
91.7%
8th Grade
Exceptional
96.1%
Tragic
91.1%
9th Grade
Exceptional
95.4%
Tragic
89.9%
10th Grade
Exceptional
94.5%
Tragic
87.9%
11th Grade
Exceptional
93.6%
Tragic
86.4%
12th Grade, No Diploma
Exceptional
92.6%
Tragic
84.6%
High School Diploma
Exceptional
90.8%
Tragic
82.0%
GED/Equivalency
Exceptional
88.3%
Tragic
78.5%
College, Under 1 year
Exceptional
71.9%
Tragic
56.8%
College, 1 year or more
Exceptional
66.7%
Tragic
51.2%
Associate's Degree
Exceptional
54.6%
Tragic
38.5%
Bachelor's Degree
Exceptional
46.9%
Tragic
31.0%
Master's Degree
Exceptional
19.7%
Tragic
11.7%
Professional Degree
Exceptional
6.1%
Tragic
3.5%
Doctorate Degree
Exceptional
2.6%
Tragic
1.4%

Burmese vs Guatemalan Disability

When considering disability, the most significant differences between Burmese and Guatemalan communities in the United States are seen in vision disability (1.8% compared to 2.3%, a difference of 26.9%), disability age 35 to 64 (9.2% compared to 11.7%, a difference of 26.7%), and disability age 65 to 74 (20.6% compared to 25.5%, a difference of 23.9%). Conversely, both communities are more comparable in terms of hearing disability (2.8% compared to 2.8%, a difference of 0.43%), disability age 18 to 34 (6.0% compared to 6.4%, a difference of 6.0%), and cognitive disability (16.7% compared to 17.8%, a difference of 6.5%).
Burmese vs Guatemalan Disability
Disability MetricBurmeseGuatemalan
Disability
Exceptional
10.4%
Good
11.6%
Males
Exceptional
10.0%
Good
11.1%
Females
Exceptional
10.7%
Good
12.1%
Age | Under 5 years
Exceptional
1.1%
Good
1.2%
Age | 5 to 17 years
Exceptional
4.8%
Excellent
5.5%
Age | 18 to 34 years
Exceptional
6.0%
Excellent
6.4%
Age | 35 to 64 years
Exceptional
9.2%
Poor
11.7%
Age | 65 to 74 years
Exceptional
20.6%
Tragic
25.5%
Age | Over 75 years
Exceptional
45.9%
Tragic
49.0%
Vision
Exceptional
1.8%
Tragic
2.3%
Hearing
Exceptional
2.8%
Exceptional
2.8%
Cognitive
Exceptional
16.7%
Tragic
17.8%
Ambulatory
Exceptional
5.3%
Fair
6.2%
Self-Care
Exceptional
2.3%
Tragic
2.6%