Welsh vs Zimbabwean Community Comparison

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Welsh
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'ik
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
Zimbabwean
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

Zimbabweans

Good
Exceptional
6,335
SOCIAL INDEX
60.8/ 100
SOCIAL RATING
156th/ 347
SOCIAL RANK
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK

Zimbabwean Integration in Welsh Communities

The statistical analysis conducted on geographies consisting of 68,645,353 people shows a substantial positive correlation between the proportion of Zimbabweans within Welsh communities in the United States with a correlation coefficient (R) of 0.539. On average, for every 1% (one percent) increase in Welsh within a typical geography, there is an increase of 0.014% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Welsh corresponds to an increase of 14.3 Zimbabweans.
Welsh Integration in Zimbabwean Communities

Welsh vs Zimbabwean Income

When considering income, the most significant differences between Welsh and Zimbabwean communities in the United States are seen in wage/income gap (28.9% compared to 26.3%, a difference of 9.9%), householder income over 65 years ($60,666 compared to $65,854, a difference of 8.6%), and median household income ($83,628 compared to $90,618, a difference of 8.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,597 compared to $51,259, a difference of 1.3%), median male earnings ($54,647 compared to $56,302, a difference of 3.0%), and median earnings ($45,710 compared to $48,229, a difference of 5.5%).
Welsh vs Zimbabwean Income
Income MetricWelshZimbabwean
Per Capita Income
Fair
$43,233
Exceptional
$45,804
Median Family Income
Average
$102,151
Exceptional
$110,011
Median Household Income
Fair
$83,628
Exceptional
$90,618
Median Earnings
Fair
$45,710
Exceptional
$48,229
Median Male Earnings
Average
$54,647
Excellent
$56,302
Median Female Earnings
Tragic
$37,856
Exceptional
$40,798
Householder Age | Under 25 years
Tragic
$50,597
Tragic
$51,259
Householder Age | 25 - 44 years
Fair
$93,039
Exceptional
$98,586
Householder Age | 45 - 64 years
Average
$100,322
Exceptional
$106,849
Householder Age | Over 65 years
Average
$60,666
Exceptional
$65,854
Wage/Income Gap
Tragic
28.9%
Fair
26.3%

Welsh vs Zimbabwean Poverty

When considering poverty, the most significant differences between Welsh and Zimbabwean communities in the United States are seen in female poverty among 25-34 year olds (14.0% compared to 11.7%, a difference of 19.8%), single father poverty (17.8% compared to 15.6%, a difference of 14.4%), and child poverty under the age of 5 (17.2% compared to 15.2%, a difference of 13.0%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.8% compared to 20.4%, a difference of 1.8%), poverty (11.6% compared to 11.3%, a difference of 3.2%), and male poverty (10.5% compared to 10.2%, a difference of 3.4%).
Welsh vs Zimbabwean Poverty
Poverty MetricWelshZimbabwean
Poverty
Exceptional
11.6%
Exceptional
11.3%
Families
Exceptional
8.1%
Exceptional
7.8%
Males
Exceptional
10.5%
Exceptional
10.2%
Females
Exceptional
12.7%
Exceptional
12.3%
Females 18 to 24 years
Tragic
20.8%
Fair
20.4%
Females 25 to 34 years
Poor
14.0%
Exceptional
11.7%
Children Under 5 years
Average
17.2%
Exceptional
15.2%
Children Under 16 years
Excellent
15.3%
Exceptional
14.2%
Boys Under 16 years
Excellent
15.5%
Exceptional
14.3%
Girls Under 16 years
Excellent
15.6%
Exceptional
14.4%
Single Males
Tragic
14.0%
Poor
13.1%
Single Females
Tragic
22.0%
Exceptional
19.5%
Single Fathers
Tragic
17.8%
Exceptional
15.6%
Single Mothers
Tragic
30.4%
Exceptional
27.9%
Married Couples
Exceptional
4.3%
Exceptional
4.1%
Seniors Over 65 years
Exceptional
9.3%
Exceptional
9.6%
Seniors Over 75 years
Exceptional
10.5%
Exceptional
11.2%
Receiving Food Stamps
Exceptional
10.3%
Exceptional
9.5%

Welsh vs Zimbabwean Unemployment

When considering unemployment, the most significant differences between Welsh and Zimbabwean communities in the United States are seen in unemployment among seniors over 75 years (10.0% compared to 8.7%, a difference of 14.1%), unemployment among ages 65 to 74 years (5.2% compared to 5.9%, a difference of 13.9%), and unemployment among ages 30 to 34 years (5.4% compared to 4.8%, a difference of 12.5%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.1% compared to 5.1%, a difference of 1.2%), female unemployment (4.7% compared to 4.8%, a difference of 1.4%), and unemployment among ages 45 to 54 years (4.1% compared to 4.2%, a difference of 1.5%).
Welsh vs Zimbabwean Unemployment
Unemployment MetricWelshZimbabwean
Unemployment
Exceptional
4.7%
Exceptional
4.8%
Males
Exceptional
4.8%
Exceptional
4.8%
Females
Exceptional
4.7%
Exceptional
4.8%
Youth < 25
Exceptional
10.9%
Exceptional
10.2%
Age | 16 to 19 years
Exceptional
16.4%
Exceptional
15.4%
Age | 20 to 24 years
Exceptional
9.8%
Exceptional
9.2%
Age | 25 to 29 years
Good
6.6%
Exceptional
6.4%
Age | 30 to 34 years
Average
5.4%
Exceptional
4.8%
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
4.2%
Age | 60 to 64 years
Exceptional
4.6%
Exceptional
4.5%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
5.9%
Seniors > 65
Exceptional
5.0%
Tragic
5.6%
Seniors > 75
Tragic
10.0%
Average
8.7%
Women w/ Children < 6
Tragic
8.0%
Exceptional
7.3%
Women w/ Children 6 to 17
Tragic
9.3%
Exceptional
8.6%
Women w/ Children < 18
Exceptional
5.1%
Exceptional
5.1%

Welsh vs Zimbabwean Labor Participation

When considering labor participation, the most significant differences between Welsh and Zimbabwean communities in the United States are seen in in labor force | age 16-19 (42.3% compared to 38.7%, a difference of 9.1%), in labor force | age > 16 (64.0% compared to 67.3%, a difference of 5.1%), and in labor force | age 35-44 (84.0% compared to 86.1%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.5% compared to 84.5%, a difference of 0.020%), in labor force | age 30-34 (84.2% compared to 85.6%, a difference of 1.8%), and in labor force | age 45-54 (82.3% compared to 84.0%, a difference of 2.0%).
Welsh vs Zimbabwean Labor Participation
Labor Participation MetricWelshZimbabwean
In Labor Force | Age > 16
Tragic
64.0%
Exceptional
67.3%
In Labor Force | Age 20-64
Tragic
79.0%
Exceptional
81.0%
In Labor Force | Age 16-19
Exceptional
42.3%
Exceptional
38.7%
In Labor Force | Age 20-24
Exceptional
77.5%
Excellent
75.6%
In Labor Force | Age 25-29
Fair
84.5%
Fair
84.5%
In Labor Force | Age 30-34
Tragic
84.2%
Exceptional
85.6%
In Labor Force | Age 35-44
Tragic
84.0%
Exceptional
86.1%
In Labor Force | Age 45-54
Tragic
82.3%
Exceptional
84.0%

Welsh vs Zimbabwean Family Structure

When considering family structure, the most significant differences between Welsh and Zimbabwean communities in the United States are seen in births to unmarried women (32.0% compared to 28.7%, a difference of 11.7%), divorced or separated (12.6% compared to 11.6%, a difference of 8.6%), and single father households (2.3% compared to 2.2%, a difference of 6.2%). Conversely, both communities are more comparable in terms of family households (64.6% compared to 64.1%, a difference of 0.85%), average family size (3.12 compared to 3.20, a difference of 2.6%), and family households with children (27.2% compared to 27.9%, a difference of 2.7%).
Welsh vs Zimbabwean Family Structure
Family Structure MetricWelshZimbabwean
Family Households
Excellent
64.6%
Fair
64.1%
Family Households with Children
Poor
27.2%
Exceptional
27.9%
Married-couple Households
Exceptional
48.8%
Excellent
47.4%
Average Family Size
Tragic
3.12
Poor
3.20
Single Father Households
Average
2.3%
Exceptional
2.2%
Single Mother Households
Exceptional
5.9%
Excellent
6.1%
Currently Married
Exceptional
48.9%
Good
47.0%
Divorced or Separated
Tragic
12.6%
Exceptional
11.6%
Births to Unmarried Women
Fair
32.0%
Exceptional
28.7%

Welsh vs Zimbabwean Vehicle Availability

When considering vehicle availability, the most significant differences between Welsh and Zimbabwean communities in the United States are seen in no vehicles in household (7.2% compared to 9.0%, a difference of 26.3%), 4 or more vehicles in household (7.5% compared to 6.4%, a difference of 16.4%), and 3 or more vehicles in household (22.6% compared to 20.3%, a difference of 11.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.0% compared to 91.0%, a difference of 2.2%), 2 or more vehicles in household (60.8% compared to 57.2%, a difference of 6.2%), and 3 or more vehicles in household (22.6% compared to 20.3%, a difference of 11.4%).
Welsh vs Zimbabwean Vehicle Availability
Vehicle Availability MetricWelshZimbabwean
No Vehicles Available
Exceptional
7.2%
Exceptional
9.0%
1+ Vehicles Available
Exceptional
93.0%
Exceptional
91.0%
2+ Vehicles Available
Exceptional
60.8%
Exceptional
57.2%
3+ Vehicles Available
Exceptional
22.6%
Excellent
20.3%
4+ Vehicles Available
Exceptional
7.5%
Good
6.4%

Welsh vs Zimbabwean Education Level

When considering education level, the most significant differences between Welsh and Zimbabwean communities in the United States are seen in master's degree (14.6% compared to 17.7%, a difference of 21.3%), professional degree (4.3% compared to 5.2%, a difference of 20.5%), and doctorate degree (1.9% compared to 2.3%, a difference of 19.9%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.8% compared to 92.7%, a difference of 0.12%), high school diploma (91.2% compared to 91.1%, a difference of 0.13%), and 2nd grade (98.5% compared to 98.2%, a difference of 0.33%).
Welsh vs Zimbabwean Education Level
Education Level MetricWelshZimbabwean
No Schooling Completed
Exceptional
1.5%
Exceptional
1.7%
Nursery School
Exceptional
98.9%
Exceptional
98.3%
Kindergarten
Exceptional
98.9%
Exceptional
98.3%
1st Grade
Exceptional
98.9%
Exceptional
98.3%
2nd Grade
Exceptional
98.5%
Exceptional
98.2%
3rd Grade
Exceptional
98.8%
Exceptional
98.1%
4th Grade
Exceptional
98.7%
Exceptional
97.9%
5th Grade
Exceptional
98.6%
Exceptional
97.8%
6th Grade
Exceptional
98.5%
Exceptional
97.6%
7th Grade
Exceptional
97.4%
Exceptional
96.8%
8th Grade
Exceptional
97.2%
Exceptional
96.5%
9th Grade
Exceptional
96.4%
Exceptional
95.9%
10th Grade
Exceptional
95.5%
Exceptional
94.9%
11th Grade
Exceptional
94.2%
Exceptional
93.9%
12th Grade, No Diploma
Exceptional
92.8%
Exceptional
92.7%
High School Diploma
Exceptional
91.2%
Exceptional
91.1%
GED/Equivalency
Exceptional
87.4%
Exceptional
88.0%
College, Under 1 year
Good
66.0%
Exceptional
69.9%
College, 1 year or more
Average
59.5%
Exceptional
64.2%
Associate's Degree
Fair
45.9%
Exceptional
51.3%
Bachelor's Degree
Fair
37.0%
Exceptional
43.3%
Master's Degree
Fair
14.6%
Exceptional
17.7%
Professional Degree
Fair
4.3%
Exceptional
5.2%
Doctorate Degree
Good
1.9%
Exceptional
2.3%

Welsh vs Zimbabwean Disability

When considering disability, the most significant differences between Welsh and Zimbabwean communities in the United States are seen in disability age under 5 (1.6% compared to 1.2%, a difference of 38.5%), hearing disability (3.7% compared to 2.8%, a difference of 30.5%), and ambulatory disability (6.5% compared to 5.4%, a difference of 21.0%). Conversely, both communities are more comparable in terms of disability age over 75 (47.0% compared to 48.1%, a difference of 2.3%), cognitive disability (17.0% compared to 17.6%, a difference of 3.6%), and disability age 65 to 74 (23.7% compared to 21.5%, a difference of 10.1%).
Welsh vs Zimbabwean Disability
Disability MetricWelshZimbabwean
Disability
Tragic
12.9%
Exceptional
10.9%
Males
Tragic
12.7%
Exceptional
10.6%
Females
Tragic
13.1%
Exceptional
11.3%
Age | Under 5 years
Tragic
1.6%
Exceptional
1.2%
Age | 5 to 17 years
Tragic
6.3%
Good
5.5%
Age | 18 to 34 years
Tragic
7.7%
Good
6.5%
Age | 35 to 64 years
Tragic
12.4%
Exceptional
10.4%
Age | 65 to 74 years
Fair
23.7%
Exceptional
21.5%
Age | Over 75 years
Excellent
47.0%
Tragic
48.1%
Vision
Tragic
2.3%
Exceptional
2.0%
Hearing
Tragic
3.7%
Excellent
2.8%
Cognitive
Exceptional
17.0%
Tragic
17.6%
Ambulatory
Tragic
6.5%
Exceptional
5.4%
Self-Care
Average
2.5%
Exceptional
2.2%