Crow vs Immigrants from Zimbabwe Community Comparison

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Crow
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYaquiYugoslavianYup'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 EuropeYemenZaireAzores
Immigrants from Zimbabwe
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseKiowaKoreanLatvianLebaneseLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOsageOttawaPaiutePakistaniPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSerbianShoshoneSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ik
Immigration
NonimmigrantsImmigrantsAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCubaCzechoslovakiaDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanKenyaKoreaLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaSerbiaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSwedenSwitzerlandTaiwanThailandTrinidad and TobagoUkraineUruguayVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZimbabwe
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Crow

Immigrants from Zimbabwe

Fair
Exceptional
2,555
SOCIAL INDEX
23.1/ 100
SOCIAL RATING
251st/ 347
SOCIAL RANK
9,270
SOCIAL INDEX
90.2/ 100
SOCIAL RATING
24th/ 347
SOCIAL RANK

Immigrants from Zimbabwe Integration in Crow Communities

The statistical analysis conducted on geographies consisting of 36,671,412 people shows a perfect positive correlation between the proportion of Immigrants from Zimbabwe within Crow communities in the United States with a correlation coefficient (R) of 1.000. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 0.777% in Immigrants from Zimbabwe. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to an increase of 777.3 Immigrants from Zimbabwe.
Crow Integration in Immigrants from Zimbabwe Communities

Crow vs Immigrants from Zimbabwe Income

When considering income, the most significant differences between Crow and Immigrants from Zimbabwe communities in the United States are seen in per capita income ($31,729 compared to $47,394, a difference of 49.4%), median family income ($76,605 compared to $108,830, a difference of 42.1%), and householder income ages 45 - 64 years ($74,257 compared to $104,992, a difference of 41.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,012 compared to $51,914, a difference of 10.4%), median female earnings ($35,266 compared to $41,527, a difference of 17.7%), and median earnings ($38,707 compared to $48,913, a difference of 26.4%).
Crow vs Immigrants from Zimbabwe Income
Income MetricCrowImmigrants from Zimbabwe
Per Capita Income
Tragic
$31,729
Exceptional
$47,394
Median Family Income
Tragic
$76,605
Exceptional
$108,830
Median Household Income
Tragic
$63,681
Exceptional
$89,496
Median Earnings
Tragic
$38,707
Exceptional
$48,913
Median Male Earnings
Tragic
$42,434
Exceptional
$57,352
Median Female Earnings
Tragic
$35,266
Exceptional
$41,527
Householder Age | Under 25 years
Tragic
$47,012
Fair
$51,914
Householder Age | 25 - 44 years
Tragic
$71,337
Excellent
$97,880
Householder Age | 45 - 64 years
Tragic
$74,257
Exceptional
$104,992
Householder Age | Over 65 years
Tragic
$49,234
Exceptional
$63,643
Wage/Income Gap
Exceptional
19.1%
Good
25.3%

Crow vs Immigrants from Zimbabwe Poverty

When considering poverty, the most significant differences between Crow and Immigrants from Zimbabwe communities in the United States are seen in married-couple family poverty (9.6% compared to 4.3%, a difference of 119.9%), family poverty (16.1% compared to 8.2%, a difference of 96.6%), and child poverty under the age of 5 (31.0% compared to 15.8%, a difference of 95.9%). Conversely, both communities are more comparable in terms of receiving food stamps (13.4% compared to 9.9%, a difference of 34.9%), seniors poverty over the age of 75 (15.9% compared to 11.7%, a difference of 35.7%), and single mother poverty (38.6% compared to 28.1%, a difference of 37.5%).
Crow vs Immigrants from Zimbabwe Poverty
Poverty MetricCrowImmigrants from Zimbabwe
Poverty
Tragic
20.7%
Exceptional
11.6%
Families
Tragic
16.1%
Exceptional
8.2%
Males
Tragic
19.1%
Exceptional
10.5%
Females
Tragic
22.1%
Exceptional
12.6%
Females 18 to 24 years
Tragic
33.2%
Good
19.8%
Females 25 to 34 years
Tragic
22.7%
Exceptional
12.6%
Children Under 5 years
Tragic
31.0%
Exceptional
15.8%
Children Under 16 years
Tragic
26.0%
Exceptional
15.0%
Boys Under 16 years
Tragic
26.3%
Exceptional
15.2%
Girls Under 16 years
Tragic
26.4%
Exceptional
15.3%
Single Males
Tragic
23.3%
Good
12.6%
Single Females
Tragic
32.4%
Exceptional
20.0%
Single Fathers
Tragic
30.3%
Good
16.1%
Single Mothers
Tragic
38.6%
Exceptional
28.1%
Married Couples
Tragic
9.6%
Exceptional
4.3%
Seniors Over 65 years
Tragic
15.2%
Exceptional
10.3%
Seniors Over 75 years
Tragic
15.9%
Excellent
11.7%
Receiving Food Stamps
Tragic
13.4%
Exceptional
9.9%

Crow vs Immigrants from Zimbabwe Unemployment

When considering unemployment, the most significant differences between Crow and Immigrants from Zimbabwe communities in the United States are seen in unemployment among ages 35 to 44 years (15.7% compared to 4.3%, a difference of 263.9%), unemployment among ages 65 to 74 years (17.4% compared to 5.1%, a difference of 241.0%), and unemployment among seniors over 65 years (16.9% compared to 5.0%, a difference of 238.6%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.6%, a difference of 8.7%), unemployment among women with children ages 6 to 17 years (9.2% compared to 8.0%, a difference of 15.2%), and unemployment among ages 55 to 59 years (5.9% compared to 4.5%, a difference of 31.9%).
Crow vs Immigrants from Zimbabwe Unemployment
Unemployment MetricCrowImmigrants from Zimbabwe
Unemployment
Tragic
11.1%
Exceptional
4.9%
Males
Tragic
10.6%
Exceptional
4.9%
Females
Tragic
12.1%
Exceptional
4.9%
Youth < 25
Tragic
20.1%
Exceptional
10.8%
Age | 16 to 19 years
Tragic
26.2%
Exceptional
16.3%
Age | 20 to 24 years
Tragic
18.7%
Exceptional
9.5%
Age | 25 to 29 years
Tragic
15.4%
Exceptional
6.1%
Age | 30 to 34 years
Tragic
10.3%
Exceptional
5.1%
Age | 35 to 44 years
Tragic
15.7%
Exceptional
4.3%
Age | 45 to 54 years
Tragic
13.7%
Exceptional
4.2%
Age | 55 to 59 years
Tragic
5.9%
Exceptional
4.5%
Age | 60 to 64 years
Tragic
5.0%
Exceptional
4.6%
Age | 65 to 74 years
Tragic
17.4%
Exceptional
5.1%
Seniors > 65
Tragic
16.9%
Exceptional
5.0%
Seniors > 75
Exceptional
5.9%
Tragic
9.0%
Women w/ Children < 6
Tragic
14.6%
Exceptional
7.1%
Women w/ Children 6 to 17
Tragic
9.2%
Exceptional
8.0%
Women w/ Children < 18
Tragic
8.2%
Exceptional
5.2%

Crow vs Immigrants from Zimbabwe Labor Participation

When considering labor participation, the most significant differences between Crow and Immigrants from Zimbabwe communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 85.1%, a difference of 12.2%), in labor force | age 35-44 (76.5% compared to 85.2%, a difference of 11.4%), and in labor force | age > 16 (60.8% compared to 66.8%, a difference of 9.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 75.9%, a difference of 1.3%), in labor force | age 16-19 (38.5% compared to 38.0%, a difference of 1.4%), and in labor force | age 45-54 (78.3% compared to 83.4%, a difference of 6.4%).
Crow vs Immigrants from Zimbabwe Labor Participation
Labor Participation MetricCrowImmigrants from Zimbabwe
In Labor Force | Age > 16
Tragic
60.8%
Exceptional
66.8%
In Labor Force | Age 20-64
Tragic
73.3%
Exceptional
80.5%
In Labor Force | Age 16-19
Exceptional
38.5%
Exceptional
38.0%
In Labor Force | Age 20-24
Exceptional
76.9%
Exceptional
75.9%
In Labor Force | Age 25-29
Tragic
78.6%
Exceptional
85.2%
In Labor Force | Age 30-34
Tragic
75.9%
Exceptional
85.1%
In Labor Force | Age 35-44
Tragic
76.5%
Exceptional
85.2%
In Labor Force | Age 45-54
Tragic
78.3%
Exceptional
83.4%

Crow vs Immigrants from Zimbabwe Family Structure

When considering family structure, the most significant differences between Crow and Immigrants from Zimbabwe communities in the United States are seen in single father households (3.5% compared to 2.2%, a difference of 56.7%), births to unmarried women (40.4% compared to 30.3%, a difference of 33.1%), and single mother households (7.4% compared to 6.2%, a difference of 20.8%). Conversely, both communities are more comparable in terms of family households with children (27.4% compared to 27.8%, a difference of 1.7%), family households (65.3% compared to 63.5%, a difference of 2.9%), and married-couple households (41.4% compared to 46.3%, a difference of 12.0%).
Crow vs Immigrants from Zimbabwe Family Structure
Family Structure MetricCrowImmigrants from Zimbabwe
Family Households
Exceptional
65.3%
Tragic
63.5%
Family Households with Children
Fair
27.4%
Exceptional
27.8%
Married-couple Households
Tragic
41.4%
Average
46.3%
Average Family Size
Exceptional
3.82
Tragic
3.19
Single Father Households
Tragic
3.5%
Exceptional
2.2%
Single Mother Households
Tragic
7.4%
Good
6.2%
Currently Married
Tragic
40.4%
Average
46.7%
Divorced or Separated
Tragic
14.1%
Excellent
11.9%
Births to Unmarried Women
Tragic
40.4%
Excellent
30.3%

Crow vs Immigrants from Zimbabwe Vehicle Availability

When considering vehicle availability, the most significant differences between Crow and Immigrants from Zimbabwe communities in the United States are seen in 4 or more vehicles in household (7.8% compared to 6.0%, a difference of 28.6%), 3 or more vehicles in household (22.5% compared to 19.1%, a difference of 17.6%), and no vehicles in household (11.0% compared to 9.9%, a difference of 12.0%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (55.7% compared to 55.6%, a difference of 0.29%), 1 or more vehicles in household (89.3% compared to 90.2%, a difference of 1.0%), and no vehicles in household (11.0% compared to 9.9%, a difference of 12.0%).
Crow vs Immigrants from Zimbabwe Vehicle Availability
Vehicle Availability MetricCrowImmigrants from Zimbabwe
No Vehicles Available
Poor
11.0%
Excellent
9.9%
1+ Vehicles Available
Fair
89.3%
Excellent
90.2%
2+ Vehicles Available
Good
55.7%
Good
55.6%
3+ Vehicles Available
Exceptional
22.5%
Fair
19.1%
4+ Vehicles Available
Exceptional
7.8%
Poor
6.0%

Crow vs Immigrants from Zimbabwe Education Level

When considering education level, the most significant differences between Crow and Immigrants from Zimbabwe communities in the United States are seen in professional degree (3.2% compared to 5.3%, a difference of 66.9%), master's degree (10.6% compared to 17.4%, a difference of 64.0%), and bachelor's degree (27.7% compared to 42.6%, a difference of 53.5%). Conversely, both communities are more comparable in terms of 10th grade (94.7% compared to 94.4%, a difference of 0.27%), 11th grade (92.9% compared to 93.4%, a difference of 0.52%), and 9th grade (96.1% compared to 95.5%, a difference of 0.62%).
Crow vs Immigrants from Zimbabwe Education Level
Education Level MetricCrowImmigrants from Zimbabwe
No Schooling Completed
Exceptional
1.6%
Exceptional
1.9%
Nursery School
Exceptional
99.7%
Exceptional
98.2%
Kindergarten
Exceptional
99.7%
Exceptional
98.2%
1st Grade
Exceptional
99.6%
Exceptional
98.1%
2nd Grade
Exceptional
99.6%
Exceptional
98.1%
3rd Grade
Exceptional
99.6%
Exceptional
98.0%
4th Grade
Exceptional
99.6%
Exceptional
97.8%
5th Grade
Exceptional
99.5%
Exceptional
97.6%
6th Grade
Exceptional
99.4%
Exceptional
97.4%
7th Grade
Exceptional
99.1%
Exceptional
96.5%
8th Grade
Exceptional
99.0%
Exceptional
96.3%
9th Grade
Exceptional
96.1%
Exceptional
95.5%
10th Grade
Exceptional
94.7%
Exceptional
94.4%
11th Grade
Excellent
92.9%
Exceptional
93.4%
12th Grade, No Diploma
Tragic
90.0%
Exceptional
92.1%
High School Diploma
Poor
88.4%
Exceptional
90.3%
GED/Equivalency
Tragic
83.8%
Exceptional
87.1%
College, Under 1 year
Tragic
60.2%
Exceptional
68.9%
College, 1 year or more
Tragic
54.5%
Exceptional
63.3%
Associate's Degree
Tragic
37.6%
Exceptional
50.5%
Bachelor's Degree
Tragic
27.7%
Exceptional
42.6%
Master's Degree
Tragic
10.6%
Exceptional
17.4%
Professional Degree
Tragic
3.2%
Exceptional
5.3%
Doctorate Degree
Tragic
1.5%
Exceptional
2.2%

Crow vs Immigrants from Zimbabwe Disability

When considering disability, the most significant differences between Crow and Immigrants from Zimbabwe communities in the United States are seen in hearing disability (4.2% compared to 3.0%, a difference of 41.0%), disability age 35 to 64 (14.6% compared to 10.6%, a difference of 37.3%), and disability age 65 to 74 (27.9% compared to 22.3%, a difference of 25.6%). Conversely, both communities are more comparable in terms of cognitive disability (17.3% compared to 17.5%, a difference of 1.2%), disability age 5 to 17 (5.4% compared to 5.5%, a difference of 2.4%), and disability age under 5 (1.2% compared to 1.2%, a difference of 2.8%).
Crow vs Immigrants from Zimbabwe Disability
Disability MetricCrowImmigrants from Zimbabwe
Disability
Tragic
12.9%
Exceptional
11.2%
Males
Tragic
13.1%
Exceptional
10.8%
Females
Tragic
12.7%
Exceptional
11.6%
Age | Under 5 years
Average
1.2%
Good
1.2%
Age | 5 to 17 years
Exceptional
5.4%
Good
5.5%
Age | 18 to 34 years
Tragic
8.3%
Fair
6.7%
Age | 35 to 64 years
Tragic
14.6%
Exceptional
10.6%
Age | 65 to 74 years
Tragic
27.9%
Exceptional
22.3%
Age | Over 75 years
Tragic
49.6%
Good
47.2%
Vision
Tragic
2.5%
Exceptional
2.1%
Hearing
Tragic
4.2%
Good
3.0%
Cognitive
Fair
17.3%
Poor
17.5%
Ambulatory
Tragic
6.9%
Exceptional
5.6%
Self-Care
Poor
2.5%
Exceptional
2.3%