Indian (Asian) vs Zimbabwean Community Comparison

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Indian (Asian)
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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Indians (Asian)

Zimbabweans

Good
Exceptional
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK

Zimbabwean Integration in Indian (Asian) Communities

The statistical analysis conducted on geographies consisting of 68,827,995 people shows a poor positive correlation between the proportion of Zimbabweans within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.157. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.001% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 1.1 Zimbabweans.
Indian (Asian) Integration in Zimbabwean Communities

Indian (Asian) vs Zimbabwean Income

When considering income, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $98,586, a difference of 21.2%), per capita income ($53,874 compared to $45,804, a difference of 17.6%), and median male earnings ($66,078 compared to $56,302, a difference of 17.4%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 26.3%, a difference of 0.53%), householder income over 65 years ($70,238 compared to $65,854, a difference of 6.7%), and householder income under 25 years ($58,239 compared to $51,259, a difference of 13.6%).
Indian (Asian) vs Zimbabwean Income
Income MetricIndian (Asian)Zimbabwean
Per Capita Income
Exceptional
$53,874
Exceptional
$45,804
Median Family Income
Exceptional
$125,312
Exceptional
$110,011
Median Household Income
Exceptional
$105,262
Exceptional
$90,618
Median Earnings
Exceptional
$56,253
Exceptional
$48,229
Median Male Earnings
Exceptional
$66,078
Excellent
$56,302
Median Female Earnings
Exceptional
$46,481
Exceptional
$40,798
Householder Age | Under 25 years
Exceptional
$58,239
Tragic
$51,259
Householder Age | 25 - 44 years
Exceptional
$119,496
Exceptional
$98,586
Householder Age | 45 - 64 years
Exceptional
$122,343
Exceptional
$106,849
Householder Age | Over 65 years
Exceptional
$70,238
Exceptional
$65,854
Wage/Income Gap
Poor
26.4%
Fair
26.3%

Indian (Asian) vs Zimbabwean Poverty

When considering poverty, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in married-couple family poverty (4.8% compared to 4.1%, a difference of 18.2%), single male poverty (11.3% compared to 13.1%, a difference of 16.3%), and seniors poverty over the age of 65 (11.1% compared to 9.6%, a difference of 15.4%). Conversely, both communities are more comparable in terms of female poverty (12.2% compared to 12.3%, a difference of 0.49%), poverty (11.3% compared to 11.3%, a difference of 0.56%), and family poverty (7.7% compared to 7.8%, a difference of 1.1%).
Indian (Asian) vs Zimbabwean Poverty
Poverty MetricIndian (Asian)Zimbabwean
Poverty
Exceptional
11.3%
Exceptional
11.3%
Families
Exceptional
7.7%
Exceptional
7.8%
Males
Exceptional
10.4%
Exceptional
10.2%
Females
Exceptional
12.2%
Exceptional
12.3%
Females 18 to 24 years
Excellent
19.6%
Fair
20.4%
Females 25 to 34 years
Exceptional
11.2%
Exceptional
11.7%
Children Under 5 years
Exceptional
13.4%
Exceptional
15.2%
Children Under 16 years
Exceptional
13.1%
Exceptional
14.2%
Boys Under 16 years
Exceptional
13.3%
Exceptional
14.3%
Girls Under 16 years
Exceptional
13.3%
Exceptional
14.4%
Single Males
Exceptional
11.3%
Poor
13.1%
Single Females
Exceptional
17.9%
Exceptional
19.5%
Single Fathers
Exceptional
14.8%
Exceptional
15.6%
Single Mothers
Exceptional
25.8%
Exceptional
27.9%
Married Couples
Exceptional
4.8%
Exceptional
4.1%
Seniors Over 65 years
Fair
11.1%
Exceptional
9.6%
Seniors Over 75 years
Tragic
12.7%
Exceptional
11.2%
Receiving Food Stamps
Exceptional
9.6%
Exceptional
9.5%

Indian (Asian) vs Zimbabwean Unemployment

When considering unemployment, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in unemployment among ages 55 to 59 years (4.9% compared to 4.2%, a difference of 16.8%), unemployment among women with children under 6 years (6.3% compared to 7.3%, a difference of 16.6%), and unemployment among youth under 25 years (11.5% compared to 10.2%, a difference of 13.2%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.3% compared to 6.4%, a difference of 1.9%), unemployment among ages 35 to 44 years (4.4% compared to 4.3%, a difference of 2.4%), and unemployment among women with children under 18 years (4.9% compared to 5.1%, a difference of 4.8%).
Indian (Asian) vs Zimbabwean Unemployment
Unemployment MetricIndian (Asian)Zimbabwean
Unemployment
Excellent
5.1%
Exceptional
4.8%
Males
Good
5.2%
Exceptional
4.8%
Females
Excellent
5.1%
Exceptional
4.8%
Youth < 25
Good
11.5%
Exceptional
10.2%
Age | 16 to 19 years
Good
17.3%
Exceptional
15.4%
Age | 20 to 24 years
Good
10.3%
Exceptional
9.2%
Age | 25 to 29 years
Exceptional
6.3%
Exceptional
6.4%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
4.8%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.3%
Age | 45 to 54 years
Good
4.5%
Exceptional
4.2%
Age | 55 to 59 years
Tragic
4.9%
Exceptional
4.2%
Age | 60 to 64 years
Tragic
5.0%
Exceptional
4.5%
Age | 65 to 74 years
Average
5.3%
Tragic
5.9%
Seniors > 65
Average
5.2%
Tragic
5.6%
Seniors > 75
Exceptional
8.0%
Average
8.7%
Women w/ Children < 6
Exceptional
6.3%
Exceptional
7.3%
Women w/ Children 6 to 17
Exceptional
7.7%
Exceptional
8.6%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
5.1%

Indian (Asian) vs Zimbabwean Labor Participation

When considering labor participation, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 38.7%, a difference of 21.5%), in labor force | age 20-24 (71.9% compared to 75.6%, a difference of 5.2%), and in labor force | age > 16 (65.5% compared to 67.3%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.5%, a difference of 0.26%), in labor force | age 30-34 (85.4% compared to 85.6%, a difference of 0.32%), and in labor force | age 45-54 (83.3% compared to 84.0%, a difference of 0.85%).
Indian (Asian) vs Zimbabwean Labor Participation
Labor Participation MetricIndian (Asian)Zimbabwean
In Labor Force | Age > 16
Excellent
65.5%
Exceptional
67.3%
In Labor Force | Age 20-64
Excellent
79.9%
Exceptional
81.0%
In Labor Force | Age 16-19
Tragic
31.9%
Exceptional
38.7%
In Labor Force | Age 20-24
Tragic
71.9%
Excellent
75.6%
In Labor Force | Age 25-29
Good
84.7%
Fair
84.5%
In Labor Force | Age 30-34
Exceptional
85.4%
Exceptional
85.6%
In Labor Force | Age 35-44
Exceptional
84.8%
Exceptional
86.1%
In Labor Force | Age 45-54
Exceptional
83.3%
Exceptional
84.0%

Indian (Asian) vs Zimbabwean Family Structure

When considering family structure, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in single mother households (5.1% compared to 6.1%, a difference of 18.7%), single father households (1.9% compared to 2.2%, a difference of 16.0%), and births to unmarried women (25.3% compared to 28.7%, a difference of 13.6%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.9%, a difference of 1.2%), average family size (3.24 compared to 3.20, a difference of 1.4%), and family households (65.1% compared to 64.1%, a difference of 1.7%).
Indian (Asian) vs Zimbabwean Family Structure
Family Structure MetricIndian (Asian)Zimbabwean
Family Households
Exceptional
65.1%
Fair
64.1%
Family Households with Children
Good
27.6%
Exceptional
27.9%
Married-couple Households
Exceptional
48.7%
Excellent
47.4%
Average Family Size
Good
3.24
Poor
3.20
Single Father Households
Exceptional
1.9%
Exceptional
2.2%
Single Mother Households
Exceptional
5.1%
Excellent
6.1%
Currently Married
Exceptional
48.0%
Good
47.0%
Divorced or Separated
Exceptional
10.2%
Exceptional
11.6%
Births to Unmarried Women
Exceptional
25.3%
Exceptional
28.7%

Indian (Asian) vs Zimbabwean Vehicle Availability

When considering vehicle availability, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in no vehicles in household (14.1% compared to 9.0%, a difference of 55.6%), 2 or more vehicles in household (53.1% compared to 57.2%, a difference of 7.8%), and 3 or more vehicles in household (19.1% compared to 20.3%, a difference of 6.0%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.4%, a difference of 0.090%), 1 or more vehicles in household (86.0% compared to 91.0%, a difference of 5.8%), and 3 or more vehicles in household (19.1% compared to 20.3%, a difference of 6.0%).
Indian (Asian) vs Zimbabwean Vehicle Availability
Vehicle Availability MetricIndian (Asian)Zimbabwean
No Vehicles Available
Tragic
14.1%
Exceptional
9.0%
1+ Vehicles Available
Tragic
86.0%
Exceptional
91.0%
2+ Vehicles Available
Tragic
53.1%
Exceptional
57.2%
3+ Vehicles Available
Fair
19.1%
Excellent
20.3%
4+ Vehicles Available
Good
6.4%
Good
6.4%

Indian (Asian) vs Zimbabwean Education Level

When considering education level, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in no schooling completed (2.5% compared to 1.7%, a difference of 43.2%), doctorate degree (2.9% compared to 2.3%, a difference of 28.1%), and professional degree (6.5% compared to 5.2%, a difference of 25.5%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.3%, a difference of 0.69%), kindergarten (97.6% compared to 98.3%, a difference of 0.69%), and 3rd grade (97.4% compared to 98.1%, a difference of 0.74%).
Indian (Asian) vs Zimbabwean Education Level
Education Level MetricIndian (Asian)Zimbabwean
No Schooling Completed
Tragic
2.5%
Exceptional
1.7%
Nursery School
Tragic
97.6%
Exceptional
98.3%
Kindergarten
Tragic
97.6%
Exceptional
98.3%
1st Grade
Tragic
97.5%
Exceptional
98.3%
2nd Grade
Tragic
97.5%
Exceptional
98.2%
3rd Grade
Tragic
97.4%
Exceptional
98.1%
4th Grade
Tragic
97.2%
Exceptional
97.9%
5th Grade
Tragic
96.9%
Exceptional
97.8%
6th Grade
Tragic
96.6%
Exceptional
97.6%
7th Grade
Tragic
95.5%
Exceptional
96.8%
8th Grade
Tragic
95.2%
Exceptional
96.5%
9th Grade
Tragic
94.5%
Exceptional
95.9%
10th Grade
Poor
93.4%
Exceptional
94.9%
11th Grade
Average
92.5%
Exceptional
93.9%
12th Grade, No Diploma
Good
91.5%
Exceptional
92.7%
High School Diploma
Good
89.6%
Exceptional
91.1%
GED/Equivalency
Exceptional
87.1%
Exceptional
88.0%
College, Under 1 year
Exceptional
70.8%
Exceptional
69.9%
College, 1 year or more
Exceptional
66.1%
Exceptional
64.2%
Associate's Degree
Exceptional
54.8%
Exceptional
51.3%
Bachelor's Degree
Exceptional
47.4%
Exceptional
43.3%
Master's Degree
Exceptional
20.5%
Exceptional
17.7%
Professional Degree
Exceptional
6.5%
Exceptional
5.2%
Doctorate Degree
Exceptional
2.9%
Exceptional
2.3%

Indian (Asian) vs Zimbabwean Disability

When considering disability, the most significant differences between Indian (Asian) and Zimbabwean communities in the United States are seen in disability age 5 to 17 (4.6% compared to 5.5%, a difference of 21.5%), disability age 35 to 64 (8.9% compared to 10.4%, a difference of 18.0%), and disability age under 5 (1.0% compared to 1.2%, a difference of 17.4%). Conversely, both communities are more comparable in terms of ambulatory disability (5.4% compared to 5.4%, a difference of 0.60%), disability age over 75 (46.5% compared to 48.1%, a difference of 3.3%), and female disability (10.8% compared to 11.3%, a difference of 4.5%).
Indian (Asian) vs Zimbabwean Disability
Disability MetricIndian (Asian)Zimbabwean
Disability
Exceptional
10.3%
Exceptional
10.9%
Males
Exceptional
9.7%
Exceptional
10.6%
Females
Exceptional
10.8%
Exceptional
11.3%
Age | Under 5 years
Exceptional
1.0%
Exceptional
1.2%
Age | 5 to 17 years
Exceptional
4.6%
Good
5.5%
Age | 18 to 34 years
Exceptional
5.5%
Good
6.5%
Age | 35 to 64 years
Exceptional
8.9%
Exceptional
10.4%
Age | 65 to 74 years
Exceptional
20.5%
Exceptional
21.5%
Age | Over 75 years
Exceptional
46.5%
Tragic
48.1%
Vision
Exceptional
1.8%
Exceptional
2.0%
Hearing
Exceptional
2.7%
Excellent
2.8%
Cognitive
Exceptional
16.8%
Tragic
17.6%
Ambulatory
Exceptional
5.4%
Exceptional
5.4%
Self-Care
Exceptional
2.3%
Exceptional
2.2%