Zimbabwean vs Crow Community Comparison

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Zimbabwean
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch 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
Crow
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican 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'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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Zimbabweans

Crow

Exceptional
Fair
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK
2,555
SOCIAL INDEX
23.1/ 100
SOCIAL RATING
251st/ 347
SOCIAL RANK

Crow Integration in Zimbabwean Communities

The statistical analysis conducted on geographies consisting of 26,299,342 people shows no correlation between the proportion of Crow within Zimbabwean communities in the United States with a correlation coefficient (R) of -0.014. On average, for every 1% (one percent) increase in Zimbabweans within a typical geography, there is a decrease of 0.003% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Zimbabweans corresponds to a decrease of 3.2 Crow.
Zimbabwean Integration in Crow Communities

Zimbabwean vs Crow Income

When considering income, the most significant differences between Zimbabwean and Crow communities in the United States are seen in per capita income ($45,804 compared to $31,729, a difference of 44.4%), householder income ages 45 - 64 years ($106,849 compared to $74,257, a difference of 43.9%), and median family income ($110,011 compared to $76,605, a difference of 43.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,259 compared to $47,012, a difference of 9.0%), median female earnings ($40,798 compared to $35,266, a difference of 15.7%), and median earnings ($48,229 compared to $38,707, a difference of 24.6%).
Zimbabwean vs Crow Income
Income MetricZimbabweanCrow
Per Capita Income
Exceptional
$45,804
Tragic
$31,729
Median Family Income
Exceptional
$110,011
Tragic
$76,605
Median Household Income
Exceptional
$90,618
Tragic
$63,681
Median Earnings
Exceptional
$48,229
Tragic
$38,707
Median Male Earnings
Excellent
$56,302
Tragic
$42,434
Median Female Earnings
Exceptional
$40,798
Tragic
$35,266
Householder Age | Under 25 years
Tragic
$51,259
Tragic
$47,012
Householder Age | 25 - 44 years
Exceptional
$98,586
Tragic
$71,337
Householder Age | 45 - 64 years
Exceptional
$106,849
Tragic
$74,257
Householder Age | Over 65 years
Exceptional
$65,854
Tragic
$49,234
Wage/Income Gap
Fair
26.3%
Exceptional
19.1%

Zimbabwean vs Crow Poverty

When considering poverty, the most significant differences between Zimbabwean and Crow communities in the United States are seen in married-couple family poverty (4.1% compared to 9.6%, a difference of 134.3%), family poverty (7.8% compared to 16.1%, a difference of 106.5%), and child poverty under the age of 5 (15.2% compared to 31.0%, a difference of 104.2%). Conversely, both communities are more comparable in terms of single mother poverty (27.9% compared to 38.6%, a difference of 38.2%), receiving food stamps (9.5% compared to 13.4%, a difference of 41.6%), and seniors poverty over the age of 75 (11.2% compared to 15.9%, a difference of 42.9%).
Zimbabwean vs Crow Poverty
Poverty MetricZimbabweanCrow
Poverty
Exceptional
11.3%
Tragic
20.7%
Families
Exceptional
7.8%
Tragic
16.1%
Males
Exceptional
10.2%
Tragic
19.1%
Females
Exceptional
12.3%
Tragic
22.1%
Females 18 to 24 years
Fair
20.4%
Tragic
33.2%
Females 25 to 34 years
Exceptional
11.7%
Tragic
22.7%
Children Under 5 years
Exceptional
15.2%
Tragic
31.0%
Children Under 16 years
Exceptional
14.2%
Tragic
26.0%
Boys Under 16 years
Exceptional
14.3%
Tragic
26.3%
Girls Under 16 years
Exceptional
14.4%
Tragic
26.4%
Single Males
Poor
13.1%
Tragic
23.3%
Single Females
Exceptional
19.5%
Tragic
32.4%
Single Fathers
Exceptional
15.6%
Tragic
30.3%
Single Mothers
Exceptional
27.9%
Tragic
38.6%
Married Couples
Exceptional
4.1%
Tragic
9.6%
Seniors Over 65 years
Exceptional
9.6%
Tragic
15.2%
Seniors Over 75 years
Exceptional
11.2%
Tragic
15.9%
Receiving Food Stamps
Exceptional
9.5%
Tragic
13.4%

Zimbabwean vs Crow Unemployment

When considering unemployment, the most significant differences between Zimbabwean and Crow communities in the United States are seen in unemployment among ages 35 to 44 years (4.3% compared to 15.7%, a difference of 263.3%), unemployment among ages 45 to 54 years (4.2% compared to 13.7%, a difference of 226.9%), and unemployment among seniors over 65 years (5.6% compared to 16.9%, a difference of 203.2%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.6% compared to 9.2%, a difference of 7.0%), unemployment among ages 60 to 64 years (4.5% compared to 5.0%, a difference of 10.7%), and unemployment among ages 55 to 59 years (4.2% compared to 5.9%, a difference of 38.9%).
Zimbabwean vs Crow Unemployment
Unemployment MetricZimbabweanCrow
Unemployment
Exceptional
4.8%
Tragic
11.1%
Males
Exceptional
4.8%
Tragic
10.6%
Females
Exceptional
4.8%
Tragic
12.1%
Youth < 25
Exceptional
10.2%
Tragic
20.1%
Age | 16 to 19 years
Exceptional
15.4%
Tragic
26.2%
Age | 20 to 24 years
Exceptional
9.2%
Tragic
18.7%
Age | 25 to 29 years
Exceptional
6.4%
Tragic
15.4%
Age | 30 to 34 years
Exceptional
4.8%
Tragic
10.3%
Age | 35 to 44 years
Exceptional
4.3%
Tragic
15.7%
Age | 45 to 54 years
Exceptional
4.2%
Tragic
13.7%
Age | 55 to 59 years
Exceptional
4.2%
Tragic
5.9%
Age | 60 to 64 years
Exceptional
4.5%
Tragic
5.0%
Age | 65 to 74 years
Tragic
5.9%
Tragic
17.4%
Seniors > 65
Tragic
5.6%
Tragic
16.9%
Seniors > 75
Average
8.7%
Exceptional
5.9%
Women w/ Children < 6
Exceptional
7.3%
Tragic
14.6%
Women w/ Children 6 to 17
Exceptional
8.6%
Tragic
9.2%
Women w/ Children < 18
Exceptional
5.1%
Tragic
8.2%

Zimbabwean vs Crow Labor Participation

When considering labor participation, the most significant differences between Zimbabwean and Crow communities in the United States are seen in in labor force | age 30-34 (85.6% compared to 75.9%, a difference of 12.8%), in labor force | age 35-44 (86.1% compared to 76.5%, a difference of 12.6%), and in labor force | age > 16 (67.3% compared to 60.8%, a difference of 10.7%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (38.7% compared to 38.5%, a difference of 0.58%), in labor force | age 20-24 (75.6% compared to 76.9%, a difference of 1.7%), and in labor force | age 45-54 (84.0% compared to 78.3%, a difference of 7.3%).
Zimbabwean vs Crow Labor Participation
Labor Participation MetricZimbabweanCrow
In Labor Force | Age > 16
Exceptional
67.3%
Tragic
60.8%
In Labor Force | Age 20-64
Exceptional
81.0%
Tragic
73.3%
In Labor Force | Age 16-19
Exceptional
38.7%
Exceptional
38.5%
In Labor Force | Age 20-24
Excellent
75.6%
Exceptional
76.9%
In Labor Force | Age 25-29
Fair
84.5%
Tragic
78.6%
In Labor Force | Age 30-34
Exceptional
85.6%
Tragic
75.9%
In Labor Force | Age 35-44
Exceptional
86.1%
Tragic
76.5%
In Labor Force | Age 45-54
Exceptional
84.0%
Tragic
78.3%

Zimbabwean vs Crow Family Structure

When considering family structure, the most significant differences between Zimbabwean and Crow communities in the United States are seen in single father households (2.2% compared to 3.5%, a difference of 59.0%), births to unmarried women (28.7% compared to 40.4%, a difference of 40.7%), and single mother households (6.1% compared to 7.4%, a difference of 22.9%). Conversely, both communities are more comparable in terms of family households (64.1% compared to 65.3%, a difference of 1.9%), family households with children (27.9% compared to 27.4%, a difference of 2.0%), and married-couple households (47.4% compared to 41.4%, a difference of 14.5%).
Zimbabwean vs Crow Family Structure
Family Structure MetricZimbabweanCrow
Family Households
Fair
64.1%
Exceptional
65.3%
Family Households with Children
Exceptional
27.9%
Fair
27.4%
Married-couple Households
Excellent
47.4%
Tragic
41.4%
Average Family Size
Poor
3.20
Exceptional
3.82
Single Father Households
Exceptional
2.2%
Tragic
3.5%
Single Mother Households
Excellent
6.1%
Tragic
7.4%
Currently Married
Good
47.0%
Tragic
40.4%
Divorced or Separated
Exceptional
11.6%
Tragic
14.1%
Births to Unmarried Women
Exceptional
28.7%
Tragic
40.4%

Zimbabwean vs Crow Vehicle Availability

When considering vehicle availability, the most significant differences between Zimbabwean and Crow communities in the United States are seen in no vehicles in household (9.0% compared to 11.0%, a difference of 22.1%), 4 or more vehicles in household (6.4% compared to 7.8%, a difference of 20.8%), and 3 or more vehicles in household (20.3% compared to 22.5%, a difference of 10.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.0% compared to 89.3%, a difference of 1.9%), 2 or more vehicles in household (57.2% compared to 55.7%, a difference of 2.7%), and 3 or more vehicles in household (20.3% compared to 22.5%, a difference of 10.9%).
Zimbabwean vs Crow Vehicle Availability
Vehicle Availability MetricZimbabweanCrow
No Vehicles Available
Exceptional
9.0%
Poor
11.0%
1+ Vehicles Available
Exceptional
91.0%
Fair
89.3%
2+ Vehicles Available
Exceptional
57.2%
Good
55.7%
3+ Vehicles Available
Excellent
20.3%
Exceptional
22.5%
4+ Vehicles Available
Good
6.4%
Exceptional
7.8%

Zimbabwean vs Crow Education Level

When considering education level, the most significant differences between Zimbabwean and Crow communities in the United States are seen in master's degree (17.7% compared to 10.6%, a difference of 66.7%), professional degree (5.2% compared to 3.2%, a difference of 64.6%), and bachelor's degree (43.3% compared to 27.7%, a difference of 56.0%). Conversely, both communities are more comparable in terms of 9th grade (95.9% compared to 96.1%, a difference of 0.21%), 10th grade (94.9% compared to 94.7%, a difference of 0.21%), and 11th grade (93.9% compared to 92.9%, a difference of 1.1%).
Zimbabwean vs Crow Education Level
Education Level MetricZimbabweanCrow
No Schooling Completed
Exceptional
1.7%
Exceptional
1.6%
Nursery School
Exceptional
98.3%
Exceptional
99.7%
Kindergarten
Exceptional
98.3%
Exceptional
99.7%
1st Grade
Exceptional
98.3%
Exceptional
99.6%
2nd Grade
Exceptional
98.2%
Exceptional
99.6%
3rd Grade
Exceptional
98.1%
Exceptional
99.6%
4th Grade
Exceptional
97.9%
Exceptional
99.6%
5th Grade
Exceptional
97.8%
Exceptional
99.5%
6th Grade
Exceptional
97.6%
Exceptional
99.4%
7th Grade
Exceptional
96.8%
Exceptional
99.1%
8th Grade
Exceptional
96.5%
Exceptional
99.0%
9th Grade
Exceptional
95.9%
Exceptional
96.1%
10th Grade
Exceptional
94.9%
Exceptional
94.7%
11th Grade
Exceptional
93.9%
Excellent
92.9%
12th Grade, No Diploma
Exceptional
92.7%
Tragic
90.0%
High School Diploma
Exceptional
91.1%
Poor
88.4%
GED/Equivalency
Exceptional
88.0%
Tragic
83.8%
College, Under 1 year
Exceptional
69.9%
Tragic
60.2%
College, 1 year or more
Exceptional
64.2%
Tragic
54.5%
Associate's Degree
Exceptional
51.3%
Tragic
37.6%
Bachelor's Degree
Exceptional
43.3%
Tragic
27.7%
Master's Degree
Exceptional
17.7%
Tragic
10.6%
Professional Degree
Exceptional
5.2%
Tragic
3.2%
Doctorate Degree
Exceptional
2.3%
Tragic
1.5%

Zimbabwean vs Crow Disability

When considering disability, the most significant differences between Zimbabwean and Crow communities in the United States are seen in hearing disability (2.8% compared to 4.2%, a difference of 46.6%), disability age 35 to 64 (10.4% compared to 14.6%, a difference of 39.9%), and disability age 65 to 74 (21.5% compared to 27.9%, a difference of 29.6%). Conversely, both communities are more comparable in terms of cognitive disability (17.6% compared to 17.3%, a difference of 1.6%), disability age 5 to 17 (5.5% compared to 5.4%, a difference of 2.9%), and disability age over 75 (48.1% compared to 49.6%, a difference of 3.2%).
Zimbabwean vs Crow Disability
Disability MetricZimbabweanCrow
Disability
Exceptional
10.9%
Tragic
12.9%
Males
Exceptional
10.6%
Tragic
13.1%
Females
Exceptional
11.3%
Tragic
12.7%
Age | Under 5 years
Exceptional
1.2%
Average
1.2%
Age | 5 to 17 years
Good
5.5%
Exceptional
5.4%
Age | 18 to 34 years
Good
6.5%
Tragic
8.3%
Age | 35 to 64 years
Exceptional
10.4%
Tragic
14.6%
Age | 65 to 74 years
Exceptional
21.5%
Tragic
27.9%
Age | Over 75 years
Tragic
48.1%
Tragic
49.6%
Vision
Exceptional
2.0%
Tragic
2.5%
Hearing
Excellent
2.8%
Tragic
4.2%
Cognitive
Tragic
17.6%
Fair
17.3%
Ambulatory
Exceptional
5.4%
Tragic
6.9%
Self-Care
Exceptional
2.2%
Poor
2.5%