Japanese vs Zimbabwean Community Comparison

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Japanese
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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Japanese

Zimbabweans

Fair
Exceptional
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK

Zimbabwean Integration in Japanese Communities

The statistical analysis conducted on geographies consisting of 60,112,013 people shows no correlation between the proportion of Zimbabweans within Japanese communities in the United States with a correlation coefficient (R) of -0.035. On average, for every 1% (one percent) increase in Japanese within a typical geography, there is a decrease of 0.001% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Japanese corresponds to a decrease of 1.1 Zimbabweans.
Japanese Integration in Zimbabwean Communities

Japanese vs Zimbabwean Income

When considering income, the most significant differences between Japanese and Zimbabwean communities in the United States are seen in per capita income ($39,870 compared to $45,804, a difference of 14.9%), householder income over 65 years ($57,919 compared to $65,854, a difference of 13.7%), and median family income ($97,288 compared to $110,011, a difference of 13.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,365 compared to $51,259, a difference of 2.2%), median female earnings ($38,528 compared to $40,798, a difference of 5.9%), and median earnings ($44,825 compared to $48,229, a difference of 7.6%).
Japanese vs Zimbabwean Income
Income MetricJapaneseZimbabwean
Per Capita Income
Tragic
$39,870
Exceptional
$45,804
Median Family Income
Tragic
$97,288
Exceptional
$110,011
Median Household Income
Fair
$83,395
Exceptional
$90,618
Median Earnings
Tragic
$44,825
Exceptional
$48,229
Median Male Earnings
Tragic
$51,473
Excellent
$56,302
Median Female Earnings
Tragic
$38,528
Exceptional
$40,798
Householder Age | Under 25 years
Good
$52,365
Tragic
$51,259
Householder Age | 25 - 44 years
Poor
$91,624
Exceptional
$98,586
Householder Age | 45 - 64 years
Poor
$96,834
Exceptional
$106,849
Householder Age | Over 65 years
Tragic
$57,919
Exceptional
$65,854
Wage/Income Gap
Exceptional
23.8%
Fair
26.3%

Japanese vs Zimbabwean Poverty

When considering poverty, the most significant differences between Japanese and Zimbabwean communities in the United States are seen in receiving food stamps (14.1% compared to 9.5%, a difference of 48.6%), married-couple family poverty (5.6% compared to 4.1%, a difference of 36.1%), and family poverty (9.9% compared to 7.8%, a difference of 26.8%). Conversely, both communities are more comparable in terms of single male poverty (13.1% compared to 13.1%, a difference of 0.010%), single father poverty (15.2% compared to 15.6%, a difference of 2.3%), and single mother poverty (28.9% compared to 27.9%, a difference of 3.4%).
Japanese vs Zimbabwean Poverty
Poverty MetricJapaneseZimbabwean
Poverty
Tragic
13.3%
Exceptional
11.3%
Families
Tragic
9.9%
Exceptional
7.8%
Males
Tragic
12.2%
Exceptional
10.2%
Females
Tragic
14.5%
Exceptional
12.3%
Females 18 to 24 years
Exceptional
18.8%
Fair
20.4%
Females 25 to 34 years
Poor
14.1%
Exceptional
11.7%
Children Under 5 years
Poor
18.1%
Exceptional
15.2%
Children Under 16 years
Tragic
17.7%
Exceptional
14.2%
Boys Under 16 years
Tragic
17.7%
Exceptional
14.3%
Girls Under 16 years
Tragic
17.8%
Exceptional
14.4%
Single Males
Poor
13.1%
Poor
13.1%
Single Females
Fair
21.3%
Exceptional
19.5%
Single Fathers
Exceptional
15.2%
Exceptional
15.6%
Single Mothers
Good
28.9%
Exceptional
27.9%
Married Couples
Tragic
5.6%
Exceptional
4.1%
Seniors Over 65 years
Tragic
12.2%
Exceptional
9.6%
Seniors Over 75 years
Tragic
13.3%
Exceptional
11.2%
Receiving Food Stamps
Tragic
14.1%
Exceptional
9.5%

Japanese vs Zimbabwean Unemployment

When considering unemployment, the most significant differences between Japanese and Zimbabwean communities in the United States are seen in unemployment among ages 30 to 34 years (5.9% compared to 4.8%, a difference of 21.8%), male unemployment (5.8% compared to 4.8%, a difference of 21.0%), and unemployment (5.6% compared to 4.8%, a difference of 18.6%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.5% compared to 7.3%, a difference of 1.8%), unemployment among women with children ages 6 to 17 years (8.4% compared to 8.6%, a difference of 2.3%), and unemployment among seniors over 75 years (8.3% compared to 8.7%, a difference of 4.9%).
Japanese vs Zimbabwean Unemployment
Unemployment MetricJapaneseZimbabwean
Unemployment
Tragic
5.6%
Exceptional
4.8%
Males
Tragic
5.8%
Exceptional
4.8%
Females
Tragic
5.6%
Exceptional
4.8%
Youth < 25
Fair
11.7%
Exceptional
10.2%
Age | 16 to 19 years
Average
17.6%
Exceptional
15.4%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
9.2%
Age | 25 to 29 years
Tragic
6.9%
Exceptional
6.4%
Age | 30 to 34 years
Tragic
5.9%
Exceptional
4.8%
Age | 35 to 44 years
Tragic
5.1%
Exceptional
4.3%
Age | 45 to 54 years
Tragic
4.7%
Exceptional
4.2%
Age | 55 to 59 years
Average
4.8%
Exceptional
4.2%
Age | 60 to 64 years
Tragic
5.1%
Exceptional
4.5%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
5.9%
Seniors > 65
Exceptional
4.9%
Tragic
5.6%
Seniors > 75
Exceptional
8.3%
Average
8.7%
Women w/ Children < 6
Good
7.5%
Exceptional
7.3%
Women w/ Children 6 to 17
Exceptional
8.4%
Exceptional
8.6%
Women w/ Children < 18
Tragic
5.7%
Exceptional
5.1%

Japanese vs Zimbabwean Labor Participation

When considering labor participation, the most significant differences between Japanese and Zimbabwean communities in the United States are seen in in labor force | age 16-19 (37.5% compared to 38.7%, a difference of 3.1%), in labor force | age 35-44 (83.6% compared to 86.1%, a difference of 3.0%), and in labor force | age 45-54 (81.6% compared to 84.0%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.3% compared to 84.5%, a difference of 0.21%), in labor force | age 20-24 (75.3% compared to 75.6%, a difference of 0.45%), and in labor force | age 30-34 (84.3% compared to 85.6%, a difference of 1.6%).
Japanese vs Zimbabwean Labor Participation
Labor Participation MetricJapaneseZimbabwean
In Labor Force | Age > 16
Exceptional
65.8%
Exceptional
67.3%
In Labor Force | Age 20-64
Tragic
79.1%
Exceptional
81.0%
In Labor Force | Age 16-19
Excellent
37.5%
Exceptional
38.7%
In Labor Force | Age 20-24
Good
75.3%
Excellent
75.6%
In Labor Force | Age 25-29
Poor
84.3%
Fair
84.5%
In Labor Force | Age 30-34
Tragic
84.3%
Exceptional
85.6%
In Labor Force | Age 35-44
Tragic
83.6%
Exceptional
86.1%
In Labor Force | Age 45-54
Tragic
81.6%
Exceptional
84.0%

Japanese vs Zimbabwean Family Structure

When considering family structure, the most significant differences between Japanese and Zimbabwean communities in the United States are seen in single father households (2.8% compared to 2.2%, a difference of 24.5%), births to unmarried women (35.2% compared to 28.7%, a difference of 22.6%), and single mother households (7.4% compared to 6.1%, a difference of 22.1%). Conversely, both communities are more comparable in terms of family households (65.9% compared to 64.1%, a difference of 2.9%), divorced or separated (12.0% compared to 11.6%, a difference of 3.4%), and average family size (3.35 compared to 3.20, a difference of 4.6%).
Japanese vs Zimbabwean Family Structure
Family Structure MetricJapaneseZimbabwean
Family Households
Exceptional
65.9%
Fair
64.1%
Family Households with Children
Exceptional
29.4%
Exceptional
27.9%
Married-couple Households
Tragic
45.2%
Excellent
47.4%
Average Family Size
Exceptional
3.35
Poor
3.20
Single Father Households
Tragic
2.8%
Exceptional
2.2%
Single Mother Households
Tragic
7.4%
Excellent
6.1%
Currently Married
Tragic
44.5%
Good
47.0%
Divorced or Separated
Good
12.0%
Exceptional
11.6%
Births to Unmarried Women
Tragic
35.2%
Exceptional
28.7%

Japanese vs Zimbabwean Vehicle Availability

When considering vehicle availability, the most significant differences between Japanese and Zimbabwean communities in the United States are seen in 4 or more vehicles in household (7.7% compared to 6.4%, a difference of 19.5%), 3 or more vehicles in household (21.8% compared to 20.3%, a difference of 7.5%), and no vehicles in household (9.4% compared to 9.0%, a difference of 4.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 91.0%, a difference of 0.43%), 2 or more vehicles in household (57.5% compared to 57.2%, a difference of 0.46%), and no vehicles in household (9.4% compared to 9.0%, a difference of 4.3%).
Japanese vs Zimbabwean Vehicle Availability
Vehicle Availability MetricJapaneseZimbabwean
No Vehicles Available
Exceptional
9.4%
Exceptional
9.0%
1+ Vehicles Available
Exceptional
90.6%
Exceptional
91.0%
2+ Vehicles Available
Exceptional
57.5%
Exceptional
57.2%
3+ Vehicles Available
Exceptional
21.8%
Excellent
20.3%
4+ Vehicles Available
Exceptional
7.7%
Good
6.4%

Japanese vs Zimbabwean Education Level

When considering education level, the most significant differences between Japanese and Zimbabwean communities in the United States are seen in no schooling completed (3.3% compared to 1.7%, a difference of 93.7%), doctorate degree (1.5% compared to 2.3%, a difference of 49.6%), and professional degree (3.5% compared to 5.2%, a difference of 46.5%). Conversely, both communities are more comparable in terms of nursery school (96.7% compared to 98.3%, a difference of 1.7%), kindergarten (96.7% compared to 98.3%, a difference of 1.7%), and 1st grade (96.6% compared to 98.3%, a difference of 1.7%).
Japanese vs Zimbabwean Education Level
Education Level MetricJapaneseZimbabwean
No Schooling Completed
Tragic
3.3%
Exceptional
1.7%
Nursery School
Tragic
96.7%
Exceptional
98.3%
Kindergarten
Tragic
96.7%
Exceptional
98.3%
1st Grade
Tragic
96.6%
Exceptional
98.3%
2nd Grade
Tragic
96.5%
Exceptional
98.2%
3rd Grade
Tragic
96.4%
Exceptional
98.1%
4th Grade
Tragic
96.0%
Exceptional
97.9%
5th Grade
Tragic
95.7%
Exceptional
97.8%
6th Grade
Tragic
95.4%
Exceptional
97.6%
7th Grade
Tragic
94.0%
Exceptional
96.8%
8th Grade
Tragic
93.6%
Exceptional
96.5%
9th Grade
Tragic
92.6%
Exceptional
95.9%
10th Grade
Tragic
91.2%
Exceptional
94.9%
11th Grade
Tragic
89.9%
Exceptional
93.9%
12th Grade, No Diploma
Tragic
88.3%
Exceptional
92.7%
High School Diploma
Tragic
85.9%
Exceptional
91.1%
GED/Equivalency
Tragic
82.4%
Exceptional
88.0%
College, Under 1 year
Tragic
61.5%
Exceptional
69.9%
College, 1 year or more
Tragic
55.2%
Exceptional
64.2%
Associate's Degree
Tragic
41.7%
Exceptional
51.3%
Bachelor's Degree
Tragic
33.3%
Exceptional
43.3%
Master's Degree
Tragic
12.5%
Exceptional
17.7%
Professional Degree
Tragic
3.5%
Exceptional
5.2%
Doctorate Degree
Tragic
1.5%
Exceptional
2.3%

Japanese vs Zimbabwean Disability

When considering disability, the most significant differences between Japanese and Zimbabwean communities in the United States are seen in self-care disability (2.7% compared to 2.2%, a difference of 24.7%), vision disability (2.4% compared to 2.0%, a difference of 20.3%), and disability age 65 to 74 (25.7% compared to 21.5%, a difference of 19.4%). Conversely, both communities are more comparable in terms of disability age under 5 (1.2% compared to 1.2%, a difference of 0.080%), cognitive disability (18.3% compared to 17.6%, a difference of 3.7%), and disability age over 75 (50.2% compared to 48.1%, a difference of 4.5%).
Japanese vs Zimbabwean Disability
Disability MetricJapaneseZimbabwean
Disability
Tragic
12.2%
Exceptional
10.9%
Males
Tragic
11.7%
Exceptional
10.6%
Females
Tragic
12.6%
Exceptional
11.3%
Age | Under 5 years
Exceptional
1.2%
Exceptional
1.2%
Age | 5 to 17 years
Tragic
6.1%
Good
5.5%
Age | 18 to 34 years
Poor
6.8%
Good
6.5%
Age | 35 to 64 years
Tragic
12.3%
Exceptional
10.4%
Age | 65 to 74 years
Tragic
25.7%
Exceptional
21.5%
Age | Over 75 years
Tragic
50.2%
Tragic
48.1%
Vision
Tragic
2.4%
Exceptional
2.0%
Hearing
Average
3.0%
Excellent
2.8%
Cognitive
Tragic
18.3%
Tragic
17.6%
Ambulatory
Poor
6.3%
Exceptional
5.4%
Self-Care
Tragic
2.7%
Exceptional
2.2%