Chinese vs Zimbabwean Community Comparison

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Chinese
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 IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta 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 LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Chinese

Zimbabweans

Exceptional
Exceptional
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK

Zimbabwean Integration in Chinese Communities

The statistical analysis conducted on geographies consisting of 31,334,661 people shows a slight positive correlation between the proportion of Zimbabweans within Chinese communities in the United States with a correlation coefficient (R) of 0.079. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is an increase of 0.053% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to an increase of 53.0 Zimbabweans.
Chinese Integration in Zimbabwean Communities

Chinese vs Zimbabwean Income

When considering income, the most significant differences between Chinese and Zimbabwean communities in the United States are seen in householder income over 65 years ($77,465 compared to $65,854, a difference of 17.6%), householder income under 25 years ($58,162 compared to $51,259, a difference of 13.5%), and householder income ages 45 - 64 years ($116,156 compared to $106,849, a difference of 8.7%). Conversely, both communities are more comparable in terms of per capita income ($46,098 compared to $45,804, a difference of 0.64%), median male earnings ($56,872 compared to $56,302, a difference of 1.0%), and median earnings ($48,836 compared to $48,229, a difference of 1.3%).
Chinese vs Zimbabwean Income
Income MetricChineseZimbabwean
Per Capita Income
Exceptional
$46,098
Exceptional
$45,804
Median Family Income
Exceptional
$116,188
Exceptional
$110,011
Median Household Income
Exceptional
$98,496
Exceptional
$90,618
Median Earnings
Exceptional
$48,836
Exceptional
$48,229
Median Male Earnings
Exceptional
$56,872
Excellent
$56,302
Median Female Earnings
Exceptional
$41,461
Exceptional
$40,798
Householder Age | Under 25 years
Exceptional
$58,162
Tragic
$51,259
Householder Age | 25 - 44 years
Exceptional
$104,264
Exceptional
$98,586
Householder Age | 45 - 64 years
Exceptional
$116,156
Exceptional
$106,849
Householder Age | Over 65 years
Exceptional
$77,465
Exceptional
$65,854
Wage/Income Gap
Average
25.9%
Fair
26.3%

Chinese vs Zimbabwean Poverty

When considering poverty, the most significant differences between Chinese and Zimbabwean communities in the United States are seen in female poverty among 18-24 year olds (16.2% compared to 20.4%, a difference of 26.4%), seniors poverty over the age of 75 (9.1% compared to 11.2%, a difference of 23.0%), and single female poverty (16.1% compared to 19.5%, a difference of 20.9%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 15.6%, a difference of 1.2%), receiving food stamps (9.8% compared to 9.5%, a difference of 3.0%), and female poverty among 25-34 year olds (11.0% compared to 11.7%, a difference of 6.4%).
Chinese vs Zimbabwean Poverty
Poverty MetricChineseZimbabwean
Poverty
Exceptional
9.5%
Exceptional
11.3%
Families
Exceptional
6.5%
Exceptional
7.8%
Males
Exceptional
8.7%
Exceptional
10.2%
Females
Exceptional
10.4%
Exceptional
12.3%
Females 18 to 24 years
Exceptional
16.2%
Fair
20.4%
Females 25 to 34 years
Exceptional
11.0%
Exceptional
11.7%
Children Under 5 years
Exceptional
13.1%
Exceptional
15.2%
Children Under 16 years
Exceptional
11.9%
Exceptional
14.2%
Boys Under 16 years
Exceptional
11.9%
Exceptional
14.3%
Girls Under 16 years
Exceptional
12.3%
Exceptional
14.4%
Single Males
Exceptional
11.0%
Poor
13.1%
Single Females
Exceptional
16.1%
Exceptional
19.5%
Single Fathers
Exceptional
15.4%
Exceptional
15.6%
Single Mothers
Exceptional
24.6%
Exceptional
27.9%
Married Couples
Exceptional
3.6%
Exceptional
4.1%
Seniors Over 65 years
Exceptional
8.3%
Exceptional
9.6%
Seniors Over 75 years
Exceptional
9.1%
Exceptional
11.2%
Receiving Food Stamps
Exceptional
9.8%
Exceptional
9.5%

Chinese vs Zimbabwean Unemployment

When considering unemployment, the most significant differences between Chinese and Zimbabwean communities in the United States are seen in unemployment among seniors over 75 years (5.9% compared to 8.7%, a difference of 47.6%), unemployment among ages 65 to 74 years (4.4% compared to 5.9%, a difference of 33.6%), and unemployment among seniors over 65 years (4.2% compared to 5.6%, a difference of 32.6%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.3% compared to 4.3%, a difference of 0.62%), unemployment among ages 20 to 24 years (9.4% compared to 9.2%, a difference of 1.7%), and unemployment (4.7% compared to 4.8%, a difference of 2.4%).
Chinese vs Zimbabwean Unemployment
Unemployment MetricChineseZimbabwean
Unemployment
Exceptional
4.7%
Exceptional
4.8%
Males
Exceptional
4.9%
Exceptional
4.8%
Females
Exceptional
4.5%
Exceptional
4.8%
Youth < 25
Exceptional
10.7%
Exceptional
10.2%
Age | 16 to 19 years
Exceptional
16.0%
Exceptional
15.4%
Age | 20 to 24 years
Exceptional
9.4%
Exceptional
9.2%
Age | 25 to 29 years
Exceptional
6.1%
Exceptional
6.4%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
4.8%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.0%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.4%
Exceptional
4.2%
Age | 60 to 64 years
Exceptional
4.0%
Exceptional
4.5%
Age | 65 to 74 years
Exceptional
4.4%
Tragic
5.9%
Seniors > 65
Exceptional
4.2%
Tragic
5.6%
Seniors > 75
Exceptional
5.9%
Average
8.7%
Women w/ Children < 6
Exceptional
6.8%
Exceptional
7.3%
Women w/ Children 6 to 17
Tragic
9.3%
Exceptional
8.6%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
5.1%

Chinese vs Zimbabwean Labor Participation

When considering labor participation, the most significant differences between Chinese and Zimbabwean communities in the United States are seen in in labor force | age > 16 (64.7% compared to 67.3%, a difference of 4.1%), in labor force | age 20-24 (77.3% compared to 75.6%, a difference of 2.2%), and in labor force | age 35-44 (85.1% compared to 86.1%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (84.1% compared to 84.0%, a difference of 0.13%), in labor force | age 25-29 (84.3% compared to 84.5%, a difference of 0.19%), and in labor force | age 16-19 (38.6% compared to 38.7%, a difference of 0.29%).
Chinese vs Zimbabwean Labor Participation
Labor Participation MetricChineseZimbabwean
In Labor Force | Age > 16
Tragic
64.7%
Exceptional
67.3%
In Labor Force | Age 20-64
Exceptional
80.7%
Exceptional
81.0%
In Labor Force | Age 16-19
Exceptional
38.6%
Exceptional
38.7%
In Labor Force | Age 20-24
Exceptional
77.3%
Excellent
75.6%
In Labor Force | Age 25-29
Poor
84.3%
Fair
84.5%
In Labor Force | Age 30-34
Excellent
85.0%
Exceptional
85.6%
In Labor Force | Age 35-44
Exceptional
85.1%
Exceptional
86.1%
In Labor Force | Age 45-54
Exceptional
84.1%
Exceptional
84.0%

Chinese vs Zimbabwean Family Structure

When considering family structure, the most significant differences between Chinese and Zimbabwean communities in the United States are seen in single mother households (5.2% compared to 6.1%, a difference of 17.5%), single father households (2.0% compared to 2.2%, a difference of 12.1%), and family households with children (26.0% compared to 27.9%, a difference of 7.3%). Conversely, both communities are more comparable in terms of divorced or separated (11.2% compared to 11.6%, a difference of 3.5%), average family size (3.34 compared to 3.20, a difference of 4.4%), and currently married (49.5% compared to 47.0%, a difference of 5.3%).
Chinese vs Zimbabwean Family Structure
Family Structure MetricChineseZimbabwean
Family Households
Exceptional
68.1%
Fair
64.1%
Family Households with Children
Tragic
26.0%
Exceptional
27.9%
Married-couple Households
Exceptional
50.4%
Excellent
47.4%
Average Family Size
Exceptional
3.34
Poor
3.20
Single Father Households
Exceptional
2.0%
Exceptional
2.2%
Single Mother Households
Exceptional
5.2%
Excellent
6.1%
Currently Married
Exceptional
49.5%
Good
47.0%
Divorced or Separated
Exceptional
11.2%
Exceptional
11.6%
Births to Unmarried Women
Excellent
30.2%
Exceptional
28.7%

Chinese vs Zimbabwean Vehicle Availability

When considering vehicle availability, the most significant differences between Chinese and Zimbabwean communities in the United States are seen in 4 or more vehicles in household (8.8% compared to 6.4%, a difference of 37.4%), 3 or more vehicles in household (23.9% compared to 20.3%, a difference of 17.8%), and no vehicles in household (8.2% compared to 9.0%, a difference of 9.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.9% compared to 91.0%, a difference of 0.93%), 2 or more vehicles in household (60.1% compared to 57.2%, a difference of 5.0%), and no vehicles in household (8.2% compared to 9.0%, a difference of 9.9%).
Chinese vs Zimbabwean Vehicle Availability
Vehicle Availability MetricChineseZimbabwean
No Vehicles Available
Exceptional
8.2%
Exceptional
9.0%
1+ Vehicles Available
Exceptional
91.9%
Exceptional
91.0%
2+ Vehicles Available
Exceptional
60.1%
Exceptional
57.2%
3+ Vehicles Available
Exceptional
23.9%
Excellent
20.3%
4+ Vehicles Available
Exceptional
8.8%
Good
6.4%

Chinese vs Zimbabwean Education Level

When considering education level, the most significant differences between Chinese and Zimbabwean communities in the United States are seen in doctorate degree (1.8% compared to 2.3%, a difference of 28.7%), master's degree (14.6% compared to 17.7%, a difference of 21.6%), and no schooling completed (1.5% compared to 1.7%, a difference of 17.3%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.3%, a difference of 0.26%), kindergarten (98.5% compared to 98.3%, a difference of 0.26%), and 1st grade (98.5% compared to 98.3%, a difference of 0.26%).
Chinese vs Zimbabwean Education Level
Education Level MetricChineseZimbabwean
No Schooling Completed
Exceptional
1.5%
Exceptional
1.7%
Nursery School
Exceptional
98.6%
Exceptional
98.3%
Kindergarten
Exceptional
98.5%
Exceptional
98.3%
1st Grade
Exceptional
98.5%
Exceptional
98.3%
2nd Grade
Exceptional
98.5%
Exceptional
98.2%
3rd Grade
Exceptional
98.4%
Exceptional
98.1%
4th Grade
Exceptional
98.3%
Exceptional
97.9%
5th Grade
Exceptional
98.1%
Exceptional
97.8%
6th Grade
Exceptional
97.9%
Exceptional
97.6%
7th Grade
Exceptional
97.1%
Exceptional
96.8%
8th Grade
Exceptional
96.9%
Exceptional
96.5%
9th Grade
Exceptional
96.3%
Exceptional
95.9%
10th Grade
Exceptional
95.5%
Exceptional
94.9%
11th Grade
Exceptional
94.6%
Exceptional
93.9%
12th Grade, No Diploma
Exceptional
93.6%
Exceptional
92.7%
High School Diploma
Exceptional
92.0%
Exceptional
91.1%
GED/Equivalency
Exceptional
89.0%
Exceptional
88.0%
College, Under 1 year
Exceptional
68.3%
Exceptional
69.9%
College, 1 year or more
Exceptional
62.2%
Exceptional
64.2%
Associate's Degree
Exceptional
48.5%
Exceptional
51.3%
Bachelor's Degree
Good
38.5%
Exceptional
43.3%
Master's Degree
Fair
14.6%
Exceptional
17.7%
Professional Degree
Average
4.5%
Exceptional
5.2%
Doctorate Degree
Fair
1.8%
Exceptional
2.3%

Chinese vs Zimbabwean Disability

When considering disability, the most significant differences between Chinese and Zimbabwean communities in the United States are seen in hearing disability (3.7% compared to 2.8%, a difference of 29.5%), ambulatory disability (6.5% compared to 5.4%, a difference of 20.3%), and self-care disability (2.6% compared to 2.2%, a difference of 19.5%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (21.7% compared to 21.5%, a difference of 0.72%), disability age over 75 (48.7% compared to 48.1%, a difference of 1.4%), and disability age 35 to 64 (10.3% compared to 10.4%, a difference of 1.5%).
Chinese vs Zimbabwean Disability
Disability MetricChineseZimbabwean
Disability
Tragic
12.2%
Exceptional
10.9%
Males
Tragic
12.1%
Exceptional
10.6%
Females
Fair
12.3%
Exceptional
11.3%
Age | Under 5 years
Exceptional
1.1%
Exceptional
1.2%
Age | 5 to 17 years
Exceptional
4.7%
Good
5.5%
Age | 18 to 34 years
Exceptional
6.3%
Good
6.5%
Age | 35 to 64 years
Exceptional
10.3%
Exceptional
10.4%
Age | 65 to 74 years
Exceptional
21.7%
Exceptional
21.5%
Age | Over 75 years
Tragic
48.7%
Tragic
48.1%
Vision
Exceptional
2.0%
Exceptional
2.0%
Hearing
Tragic
3.7%
Excellent
2.8%
Cognitive
Exceptional
15.9%
Tragic
17.6%
Ambulatory
Tragic
6.5%
Exceptional
5.4%
Self-Care
Tragic
2.6%
Exceptional
2.2%