Welsh vs Burmese Community Comparison

COMPARE

Welsh
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
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 GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWest 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

Welsh

Burmese

Good
Exceptional
6,335
SOCIAL INDEX
60.8/ 100
SOCIAL RATING
156th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Welsh Communities

The statistical analysis conducted on geographies consisting of 444,278,485 people shows a mild positive correlation between the proportion of Burmese within Welsh communities in the United States with a correlation coefficient (R) of 0.399. On average, for every 1% (one percent) increase in Welsh within a typical geography, there is an increase of 0.036% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Welsh corresponds to an increase of 36.3 Burmese.
Welsh Integration in Burmese Communities

Welsh vs Burmese Income

When considering income, the most significant differences between Welsh and Burmese communities in the United States are seen in median household income ($83,628 compared to $103,145, a difference of 23.3%), householder income ages 25 - 44 years ($93,039 compared to $113,701, a difference of 22.2%), and householder income ages 45 - 64 years ($100,322 compared to $121,444, a difference of 21.0%). Conversely, both communities are more comparable in terms of wage/income gap (28.9% compared to 28.0%, a difference of 3.2%), householder income under 25 years ($50,597 compared to $54,800, a difference of 8.3%), and householder income over 65 years ($60,666 compared to $71,139, a difference of 17.3%).
Welsh vs Burmese Income
Income MetricWelshBurmese
Per Capita Income
Fair
$43,233
Exceptional
$52,005
Median Family Income
Average
$102,151
Exceptional
$123,369
Median Household Income
Fair
$83,628
Exceptional
$103,145
Median Earnings
Fair
$45,710
Exceptional
$54,559
Median Male Earnings
Average
$54,647
Exceptional
$65,236
Median Female Earnings
Tragic
$37,856
Exceptional
$44,911
Householder Age | Under 25 years
Tragic
$50,597
Exceptional
$54,800
Householder Age | 25 - 44 years
Fair
$93,039
Exceptional
$113,701
Householder Age | 45 - 64 years
Average
$100,322
Exceptional
$121,444
Householder Age | Over 65 years
Average
$60,666
Exceptional
$71,139
Wage/Income Gap
Tragic
28.9%
Tragic
28.0%

Welsh vs Burmese Poverty

When considering poverty, the most significant differences between Welsh and Burmese communities in the United States are seen in child poverty under the age of 5 (17.2% compared to 13.2%, a difference of 29.7%), female poverty among 25-34 year olds (14.0% compared to 11.2%, a difference of 25.1%), and single female poverty (22.0% compared to 18.3%, a difference of 20.2%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.3% compared to 4.3%, a difference of 0.19%), male poverty (10.5% compared to 9.7%, a difference of 8.8%), and poverty (11.6% compared to 10.7%, a difference of 8.8%).
Welsh vs Burmese Poverty
Poverty MetricWelshBurmese
Poverty
Exceptional
11.6%
Exceptional
10.7%
Families
Exceptional
8.1%
Exceptional
7.3%
Males
Exceptional
10.5%
Exceptional
9.7%
Females
Exceptional
12.7%
Exceptional
11.6%
Females 18 to 24 years
Tragic
20.8%
Exceptional
18.9%
Females 25 to 34 years
Poor
14.0%
Exceptional
11.2%
Children Under 5 years
Average
17.2%
Exceptional
13.2%
Children Under 16 years
Excellent
15.3%
Exceptional
12.8%
Boys Under 16 years
Excellent
15.5%
Exceptional
13.0%
Girls Under 16 years
Excellent
15.6%
Exceptional
13.0%
Single Males
Tragic
14.0%
Exceptional
11.7%
Single Females
Tragic
22.0%
Exceptional
18.3%
Single Fathers
Tragic
17.8%
Exceptional
15.5%
Single Mothers
Tragic
30.4%
Exceptional
26.2%
Married Couples
Exceptional
4.3%
Exceptional
4.3%
Seniors Over 65 years
Exceptional
9.3%
Exceptional
10.1%
Seniors Over 75 years
Exceptional
10.5%
Excellent
11.7%
Receiving Food Stamps
Exceptional
10.3%
Exceptional
8.6%

Welsh vs Burmese Unemployment

When considering unemployment, the most significant differences between Welsh and Burmese communities in the United States are seen in unemployment among women with children under 6 years (8.0% compared to 6.5%, a difference of 23.7%), unemployment among seniors over 75 years (10.0% compared to 8.2%, a difference of 21.7%), and unemployment among women with children ages 6 to 17 years (9.3% compared to 8.0%, a difference of 16.7%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 0.020%), unemployment among ages 55 to 59 years (4.5% compared to 4.5%, a difference of 0.15%), and unemployment among seniors over 65 years (5.0% compared to 5.0%, a difference of 1.1%).
Welsh vs Burmese Unemployment
Unemployment MetricWelshBurmese
Unemployment
Exceptional
4.7%
Exceptional
4.9%
Males
Exceptional
4.8%
Exceptional
4.9%
Females
Exceptional
4.7%
Exceptional
5.0%
Youth < 25
Exceptional
10.9%
Excellent
11.3%
Age | 16 to 19 years
Exceptional
16.4%
Exceptional
17.0%
Age | 20 to 24 years
Exceptional
9.8%
Excellent
10.2%
Age | 25 to 29 years
Good
6.6%
Exceptional
6.2%
Age | 30 to 34 years
Average
5.4%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.5%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.1%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.5%
Exceptional
4.5%
Age | 60 to 64 years
Exceptional
4.6%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.2%
Seniors > 65
Exceptional
5.0%
Exceptional
5.0%
Seniors > 75
Tragic
10.0%
Exceptional
8.2%
Women w/ Children < 6
Tragic
8.0%
Exceptional
6.5%
Women w/ Children 6 to 17
Tragic
9.3%
Exceptional
8.0%
Women w/ Children < 18
Exceptional
5.1%
Exceptional
4.9%

Welsh vs Burmese Labor Participation

When considering labor participation, the most significant differences between Welsh and Burmese communities in the United States are seen in in labor force | age 16-19 (42.3% compared to 34.5%, a difference of 22.5%), in labor force | age 20-24 (77.5% compared to 73.6%, a difference of 5.3%), and in labor force | age > 16 (64.0% compared to 66.2%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.5% compared to 85.1%, a difference of 0.73%), in labor force | age 35-44 (84.0% compared to 84.7%, a difference of 0.86%), and in labor force | age 30-34 (84.2% compared to 85.3%, a difference of 1.3%).
Welsh vs Burmese Labor Participation
Labor Participation MetricWelshBurmese
In Labor Force | Age > 16
Tragic
64.0%
Exceptional
66.2%
In Labor Force | Age 20-64
Tragic
79.0%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
42.3%
Tragic
34.5%
In Labor Force | Age 20-24
Exceptional
77.5%
Tragic
73.6%
In Labor Force | Age 25-29
Fair
84.5%
Exceptional
85.1%
In Labor Force | Age 30-34
Tragic
84.2%
Exceptional
85.3%
In Labor Force | Age 35-44
Tragic
84.0%
Exceptional
84.7%
In Labor Force | Age 45-54
Tragic
82.3%
Exceptional
83.6%

Welsh vs Burmese Family Structure

When considering family structure, the most significant differences between Welsh and Burmese communities in the United States are seen in births to unmarried women (32.0% compared to 26.4%, a difference of 21.5%), divorced or separated (12.6% compared to 10.7%, a difference of 17.3%), and single father households (2.3% compared to 2.0%, a difference of 15.5%). Conversely, both communities are more comparable in terms of currently married (48.9% compared to 48.9%, a difference of 0.040%), family households (64.6% compared to 65.7%, a difference of 1.8%), and married-couple households (48.8% compared to 49.8%, a difference of 2.1%).
Welsh vs Burmese Family Structure
Family Structure MetricWelshBurmese
Family Households
Excellent
64.6%
Exceptional
65.7%
Family Households with Children
Poor
27.2%
Exceptional
28.5%
Married-couple Households
Exceptional
48.8%
Exceptional
49.8%
Average Family Size
Tragic
3.12
Fair
3.22
Single Father Households
Average
2.3%
Exceptional
2.0%
Single Mother Households
Exceptional
5.9%
Exceptional
5.3%
Currently Married
Exceptional
48.9%
Exceptional
48.9%
Divorced or Separated
Tragic
12.6%
Exceptional
10.7%
Births to Unmarried Women
Fair
32.0%
Exceptional
26.4%

Welsh vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Welsh and Burmese communities in the United States are seen in no vehicles in household (7.2% compared to 9.7%, a difference of 35.2%), 4 or more vehicles in household (7.5% compared to 6.8%, a difference of 9.9%), and 3 or more vehicles in household (22.6% compared to 20.6%, a difference of 9.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.0% compared to 90.4%, a difference of 2.8%), 2 or more vehicles in household (60.8% compared to 57.8%, a difference of 5.2%), and 3 or more vehicles in household (22.6% compared to 20.6%, a difference of 9.3%).
Welsh vs Burmese Vehicle Availability
Vehicle Availability MetricWelshBurmese
No Vehicles Available
Exceptional
7.2%
Excellent
9.7%
1+ Vehicles Available
Exceptional
93.0%
Excellent
90.4%
2+ Vehicles Available
Exceptional
60.8%
Exceptional
57.8%
3+ Vehicles Available
Exceptional
22.6%
Exceptional
20.6%
4+ Vehicles Available
Exceptional
7.5%
Exceptional
6.8%

Welsh vs Burmese Education Level

When considering education level, the most significant differences between Welsh and Burmese communities in the United States are seen in professional degree (4.3% compared to 6.1%, a difference of 42.4%), doctorate degree (1.9% compared to 2.6%, a difference of 39.1%), and master's degree (14.6% compared to 19.7%, a difference of 34.8%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.8% compared to 92.6%, a difference of 0.24%), high school diploma (91.2% compared to 90.8%, a difference of 0.40%), and 2nd grade (98.5% compared to 98.0%, a difference of 0.56%).
Welsh vs Burmese Education Level
Education Level MetricWelshBurmese
No Schooling Completed
Exceptional
1.5%
Excellent
1.9%
Nursery School
Exceptional
98.9%
Excellent
98.1%
Kindergarten
Exceptional
98.9%
Excellent
98.1%
1st Grade
Exceptional
98.9%
Excellent
98.0%
2nd Grade
Exceptional
98.5%
Excellent
98.0%
3rd Grade
Exceptional
98.8%
Good
97.9%
4th Grade
Exceptional
98.7%
Excellent
97.7%
5th Grade
Exceptional
98.6%
Excellent
97.5%
6th Grade
Exceptional
98.5%
Excellent
97.3%
7th Grade
Exceptional
97.4%
Excellent
96.3%
8th Grade
Exceptional
97.2%
Exceptional
96.1%
9th Grade
Exceptional
96.4%
Exceptional
95.4%
10th Grade
Exceptional
95.5%
Exceptional
94.5%
11th Grade
Exceptional
94.2%
Exceptional
93.6%
12th Grade, No Diploma
Exceptional
92.8%
Exceptional
92.6%
High School Diploma
Exceptional
91.2%
Exceptional
90.8%
GED/Equivalency
Exceptional
87.4%
Exceptional
88.3%
College, Under 1 year
Good
66.0%
Exceptional
71.9%
College, 1 year or more
Average
59.5%
Exceptional
66.7%
Associate's Degree
Fair
45.9%
Exceptional
54.6%
Bachelor's Degree
Fair
37.0%
Exceptional
46.9%
Master's Degree
Fair
14.6%
Exceptional
19.7%
Professional Degree
Fair
4.3%
Exceptional
6.1%
Doctorate Degree
Good
1.9%
Exceptional
2.6%

Welsh vs Burmese Disability

When considering disability, the most significant differences between Welsh and Burmese communities in the United States are seen in disability age under 5 (1.6% compared to 1.1%, a difference of 45.2%), disability age 35 to 64 (12.4% compared to 9.2%, a difference of 34.7%), and hearing disability (3.7% compared to 2.8%, a difference of 32.5%). Conversely, both communities are more comparable in terms of cognitive disability (17.0% compared to 16.7%, a difference of 2.0%), disability age over 75 (47.0% compared to 45.9%, a difference of 2.3%), and self-care disability (2.5% compared to 2.3%, a difference of 9.2%).
Welsh vs Burmese Disability
Disability MetricWelshBurmese
Disability
Tragic
12.9%
Exceptional
10.4%
Males
Tragic
12.7%
Exceptional
10.0%
Females
Tragic
13.1%
Exceptional
10.7%
Age | Under 5 years
Tragic
1.6%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
6.3%
Exceptional
4.8%
Age | 18 to 34 years
Tragic
7.7%
Exceptional
6.0%
Age | 35 to 64 years
Tragic
12.4%
Exceptional
9.2%
Age | 65 to 74 years
Fair
23.7%
Exceptional
20.6%
Age | Over 75 years
Excellent
47.0%
Exceptional
45.9%
Vision
Tragic
2.3%
Exceptional
1.8%
Hearing
Tragic
3.7%
Exceptional
2.8%
Cognitive
Exceptional
17.0%
Exceptional
16.7%
Ambulatory
Tragic
6.5%
Exceptional
5.3%
Self-Care
Average
2.5%
Exceptional
2.3%