Burmese vs Colombian Community Comparison

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Burmese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColvilleComancheCosta 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
Colombian
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

Colombians

Exceptional
Average
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
5,155
SOCIAL INDEX
49.1/ 100
SOCIAL RATING
184th/ 347
SOCIAL RANK

Colombian Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 383,267,690 people shows a mild positive correlation between the proportion of Colombians within Burmese communities in the United States with a correlation coefficient (R) of 0.385. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.033% in Colombians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 33.3 Colombians.
Burmese Integration in Colombian Communities

Burmese vs Colombian Income

When considering income, the most significant differences between Burmese and Colombian communities in the United States are seen in median family income ($123,369 compared to $100,750, a difference of 22.5%), householder income ages 45 - 64 years ($121,444 compared to $99,772, a difference of 21.7%), and median male earnings ($65,236 compared to $53,832, a difference of 21.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $53,357, a difference of 2.7%), wage/income gap (28.0% compared to 24.7%, a difference of 13.3%), and median female earnings ($44,911 compared to $39,439, a difference of 13.9%).
Burmese vs Colombian Income
Income MetricBurmeseColombian
Per Capita Income
Exceptional
$52,005
Average
$43,661
Median Family Income
Exceptional
$123,369
Fair
$100,750
Median Household Income
Exceptional
$103,145
Average
$85,716
Median Earnings
Exceptional
$54,559
Average
$46,349
Median Male Earnings
Exceptional
$65,236
Fair
$53,832
Median Female Earnings
Exceptional
$44,911
Fair
$39,439
Householder Age | Under 25 years
Exceptional
$54,800
Exceptional
$53,357
Householder Age | 25 - 44 years
Exceptional
$113,701
Average
$94,565
Householder Age | 45 - 64 years
Exceptional
$121,444
Average
$99,772
Householder Age | Over 65 years
Exceptional
$71,139
Tragic
$58,851
Wage/Income Gap
Tragic
28.0%
Exceptional
24.7%

Burmese vs Colombian Poverty

When considering poverty, the most significant differences between Burmese and Colombian communities in the United States are seen in receiving food stamps (8.6% compared to 12.6%, a difference of 46.0%), married-couple family poverty (4.3% compared to 5.6%, a difference of 28.9%), and child poverty under the age of 5 (13.2% compared to 16.7%, a difference of 26.0%). Conversely, both communities are more comparable in terms of single male poverty (11.7% compared to 12.2%, a difference of 3.7%), single father poverty (15.5% compared to 16.1%, a difference of 3.9%), and female poverty among 18-24 year olds (18.9% compared to 17.7%, a difference of 7.0%).
Burmese vs Colombian Poverty
Poverty MetricBurmeseColombian
Poverty
Exceptional
10.7%
Average
12.2%
Families
Exceptional
7.3%
Fair
9.2%
Males
Exceptional
9.7%
Good
11.0%
Females
Exceptional
11.6%
Average
13.4%
Females 18 to 24 years
Exceptional
18.9%
Exceptional
17.7%
Females 25 to 34 years
Exceptional
11.2%
Good
13.2%
Children Under 5 years
Exceptional
13.2%
Good
16.7%
Children Under 16 years
Exceptional
12.8%
Good
15.8%
Boys Under 16 years
Exceptional
13.0%
Good
16.1%
Girls Under 16 years
Exceptional
13.0%
Good
15.9%
Single Males
Exceptional
11.7%
Exceptional
12.2%
Single Females
Exceptional
18.3%
Exceptional
19.9%
Single Fathers
Exceptional
15.5%
Good
16.1%
Single Mothers
Exceptional
26.2%
Exceptional
28.3%
Married Couples
Exceptional
4.3%
Tragic
5.6%
Seniors Over 65 years
Exceptional
10.1%
Tragic
12.5%
Seniors Over 75 years
Excellent
11.7%
Tragic
14.3%
Receiving Food Stamps
Exceptional
8.6%
Poor
12.6%

Burmese vs Colombian Unemployment

When considering unemployment, the most significant differences between Burmese and Colombian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.0% compared to 9.3%, a difference of 17.4%), unemployment among women with children under 6 years (6.5% compared to 7.5%, a difference of 15.7%), and unemployment among women with children under 18 years (4.9% compared to 5.6%, a difference of 12.4%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.9%, a difference of 2.5%), unemployment among ages 20 to 24 years (10.2% compared to 10.4%, a difference of 2.6%), and unemployment among seniors over 75 years (8.2% compared to 8.5%, a difference of 4.3%).
Burmese vs Colombian Unemployment
Unemployment MetricBurmeseColombian
Unemployment
Exceptional
4.9%
Good
5.2%
Males
Exceptional
4.9%
Excellent
5.2%
Females
Exceptional
5.0%
Fair
5.3%
Youth < 25
Excellent
11.3%
Tragic
11.9%
Age | 16 to 19 years
Exceptional
17.0%
Tragic
18.3%
Age | 20 to 24 years
Excellent
10.2%
Fair
10.4%
Age | 25 to 29 years
Exceptional
6.2%
Good
6.6%
Age | 30 to 34 years
Exceptional
5.1%
Good
5.4%
Age | 35 to 44 years
Exceptional
4.3%
Excellent
4.6%
Age | 45 to 54 years
Exceptional
4.2%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.5%
Excellent
4.7%
Age | 60 to 64 years
Excellent
4.8%
Fair
4.9%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
5.6%
Seniors > 65
Exceptional
5.0%
Tragic
5.3%
Seniors > 75
Exceptional
8.2%
Excellent
8.5%
Women w/ Children < 6
Exceptional
6.5%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.0%
Tragic
9.3%
Women w/ Children < 18
Exceptional
4.9%
Fair
5.6%

Burmese vs Colombian Labor Participation

When considering labor participation, the most significant differences between Burmese and Colombian communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 33.8%, a difference of 1.9%), in labor force | age > 16 (66.2% compared to 65.9%, a difference of 0.48%), and in labor force | age 25-29 (85.1% compared to 84.7%, a difference of 0.48%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.6% compared to 73.5%, a difference of 0.12%), in labor force | age 20-64 (80.3% compared to 80.1%, a difference of 0.17%), and in labor force | age 45-54 (83.6% compared to 83.4%, a difference of 0.24%).
Burmese vs Colombian Labor Participation
Labor Participation MetricBurmeseColombian
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
65.9%
In Labor Force | Age 20-64
Exceptional
80.3%
Exceptional
80.1%
In Labor Force | Age 16-19
Tragic
34.5%
Tragic
33.8%
In Labor Force | Age 20-24
Tragic
73.6%
Tragic
73.5%
In Labor Force | Age 25-29
Exceptional
85.1%
Good
84.7%
In Labor Force | Age 30-34
Exceptional
85.3%
Excellent
84.9%
In Labor Force | Age 35-44
Exceptional
84.7%
Exceptional
85.0%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.4%

Burmese vs Colombian Family Structure

When considering family structure, the most significant differences between Burmese and Colombian communities in the United States are seen in single mother households (5.3% compared to 6.6%, a difference of 24.2%), births to unmarried women (26.4% compared to 32.2%, a difference of 22.3%), and divorced or separated (10.7% compared to 12.4%, a difference of 15.6%). Conversely, both communities are more comparable in terms of family households (65.7% compared to 66.3%, a difference of 0.78%), family households with children (28.5% compared to 28.3%, a difference of 0.78%), and average family size (3.22 compared to 3.26, a difference of 1.4%).
Burmese vs Colombian Family Structure
Family Structure MetricBurmeseColombian
Family Households
Exceptional
65.7%
Exceptional
66.3%
Family Households with Children
Exceptional
28.5%
Exceptional
28.3%
Married-couple Households
Exceptional
49.8%
Good
46.8%
Average Family Size
Fair
3.22
Excellent
3.26
Single Father Households
Exceptional
2.0%
Average
2.3%
Single Mother Households
Exceptional
5.3%
Poor
6.6%
Currently Married
Exceptional
48.9%
Fair
46.3%
Divorced or Separated
Exceptional
10.7%
Tragic
12.4%
Births to Unmarried Women
Exceptional
26.4%
Fair
32.2%

Burmese vs Colombian Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Colombian communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 5.5%, a difference of 23.2%), 3 or more vehicles in household (20.6% compared to 17.8%, a difference of 16.2%), and 2 or more vehicles in household (57.8% compared to 52.9%, a difference of 9.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 88.0%, a difference of 2.7%), no vehicles in household (9.7% compared to 10.0%, a difference of 3.7%), and 2 or more vehicles in household (57.8% compared to 52.9%, a difference of 9.3%).
Burmese vs Colombian Vehicle Availability
Vehicle Availability MetricBurmeseColombian
No Vehicles Available
Excellent
9.7%
Good
10.0%
1+ Vehicles Available
Excellent
90.4%
Tragic
88.0%
2+ Vehicles Available
Exceptional
57.8%
Tragic
52.9%
3+ Vehicles Available
Exceptional
20.6%
Tragic
17.8%
4+ Vehicles Available
Exceptional
6.8%
Tragic
5.5%

Burmese vs Colombian Education Level

When considering education level, the most significant differences between Burmese and Colombian communities in the United States are seen in doctorate degree (2.6% compared to 1.7%, a difference of 52.6%), professional degree (6.1% compared to 4.6%, a difference of 33.4%), and master's degree (19.7% compared to 15.3%, a difference of 29.1%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 97.7%, a difference of 0.40%), kindergarten (98.1% compared to 97.7%, a difference of 0.41%), and 1st grade (98.0% compared to 97.6%, a difference of 0.41%).
Burmese vs Colombian Education Level
Education Level MetricBurmeseColombian
No Schooling Completed
Excellent
1.9%
Tragic
2.3%
Nursery School
Excellent
98.1%
Tragic
97.7%
Kindergarten
Excellent
98.1%
Tragic
97.7%
1st Grade
Excellent
98.0%
Tragic
97.6%
2nd Grade
Excellent
98.0%
Tragic
97.6%
3rd Grade
Good
97.9%
Tragic
97.4%
4th Grade
Excellent
97.7%
Tragic
97.1%
5th Grade
Excellent
97.5%
Tragic
96.9%
6th Grade
Excellent
97.3%
Tragic
96.5%
7th Grade
Excellent
96.3%
Tragic
95.3%
8th Grade
Exceptional
96.1%
Tragic
95.0%
9th Grade
Exceptional
95.4%
Tragic
94.0%
10th Grade
Exceptional
94.5%
Tragic
92.8%
11th Grade
Exceptional
93.6%
Tragic
91.7%
12th Grade, No Diploma
Exceptional
92.6%
Tragic
90.4%
High School Diploma
Exceptional
90.8%
Tragic
88.1%
GED/Equivalency
Exceptional
88.3%
Poor
84.9%
College, Under 1 year
Exceptional
71.9%
Poor
64.0%
College, 1 year or more
Exceptional
66.7%
Fair
58.7%
Associate's Degree
Exceptional
54.6%
Good
46.8%
Bachelor's Degree
Exceptional
46.9%
Good
38.4%
Master's Degree
Exceptional
19.7%
Good
15.3%
Professional Degree
Exceptional
6.1%
Good
4.6%
Doctorate Degree
Exceptional
2.6%
Poor
1.7%

Burmese vs Colombian Disability

When considering disability, the most significant differences between Burmese and Colombian communities in the United States are seen in vision disability (1.8% compared to 2.1%, a difference of 15.0%), disability age 5 to 17 (4.8% compared to 5.5%, a difference of 14.3%), and ambulatory disability (5.3% compared to 5.8%, a difference of 10.4%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.6%, a difference of 0.32%), disability age over 75 (45.9% compared to 46.7%, a difference of 1.8%), and hearing disability (2.8% compared to 2.7%, a difference of 2.2%).
Burmese vs Colombian Disability
Disability MetricBurmeseColombian
Disability
Exceptional
10.4%
Exceptional
11.0%
Males
Exceptional
10.0%
Exceptional
10.5%
Females
Exceptional
10.7%
Exceptional
11.5%
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%
Exceptional
5.9%
Age | 35 to 64 years
Exceptional
9.2%
Exceptional
9.9%
Age | 65 to 74 years
Exceptional
20.6%
Exceptional
22.2%
Age | Over 75 years
Exceptional
45.9%
Exceptional
46.7%
Vision
Exceptional
1.8%
Good
2.1%
Hearing
Exceptional
2.8%
Exceptional
2.7%
Cognitive
Exceptional
16.7%
Exceptional
16.6%
Ambulatory
Exceptional
5.3%
Exceptional
5.8%
Self-Care
Exceptional
2.3%
Excellent
2.4%