Zimbabwean vs Pima Community Comparison

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Zimbabwean
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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 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
Pima
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

Pima

Exceptional
Poor
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK
1,700
SOCIAL INDEX
14.5/ 100
SOCIAL RATING
291st/ 347
SOCIAL RANK

Pima Integration in Zimbabwean Communities

The statistical analysis conducted on geographies consisting of 30,515,571 people shows a moderate positive correlation between the proportion of Pima within Zimbabwean communities in the United States with a correlation coefficient (R) of 0.443. On average, for every 1% (one percent) increase in Zimbabweans within a typical geography, there is an increase of 0.297% in Pima. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Zimbabweans corresponds to an increase of 296.8 Pima.
Zimbabwean Integration in Pima Communities

Zimbabwean vs Pima Income

When considering income, the most significant differences between Zimbabwean and Pima communities in the United States are seen in per capita income ($45,804 compared to $30,644, a difference of 49.5%), householder income ages 45 - 64 years ($106,849 compared to $73,365, a difference of 45.6%), and median household income ($90,618 compared to $63,262, a difference of 43.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,259 compared to $51,503, a difference of 0.48%), median female earnings ($40,798 compared to $35,326, a difference of 15.5%), and householder income ages 25 - 44 years ($98,586 compared to $82,821, a difference of 19.0%).
Zimbabwean vs Pima Income
Income MetricZimbabweanPima
Per Capita Income
Exceptional
$45,804
Tragic
$30,644
Median Family Income
Exceptional
$110,011
Tragic
$77,431
Median Household Income
Exceptional
$90,618
Tragic
$63,262
Median Earnings
Exceptional
$48,229
Tragic
$38,285
Median Male Earnings
Excellent
$56,302
Tragic
$42,357
Median Female Earnings
Exceptional
$40,798
Tragic
$35,326
Householder Age | Under 25 years
Tragic
$51,259
Poor
$51,503
Householder Age | 25 - 44 years
Exceptional
$98,586
Tragic
$82,821
Householder Age | 45 - 64 years
Exceptional
$106,849
Tragic
$73,365
Householder Age | Over 65 years
Exceptional
$65,854
Tragic
$50,539
Wage/Income Gap
Fair
26.3%
Exceptional
21.1%

Zimbabwean vs Pima Poverty

When considering poverty, the most significant differences between Zimbabwean and Pima communities in the United States are seen in married-couple family poverty (4.1% compared to 11.4%, a difference of 179.6%), family poverty (7.8% compared to 18.4%, a difference of 135.5%), and female poverty among 25-34 year olds (11.7% compared to 25.3%, a difference of 116.9%). Conversely, both communities are more comparable in terms of single father poverty (15.6% compared to 14.8%, a difference of 5.5%), single mother poverty (27.9% compared to 38.6%, a difference of 38.1%), and female poverty among 18-24 year olds (20.4% compared to 28.4%, a difference of 39.1%).
Zimbabwean vs Pima Poverty
Poverty MetricZimbabweanPima
Poverty
Exceptional
11.3%
Tragic
21.9%
Families
Exceptional
7.8%
Tragic
18.4%
Males
Exceptional
10.2%
Tragic
20.4%
Females
Exceptional
12.3%
Tragic
23.6%
Females 18 to 24 years
Fair
20.4%
Tragic
28.4%
Females 25 to 34 years
Exceptional
11.7%
Tragic
25.3%
Children Under 5 years
Exceptional
15.2%
Tragic
27.4%
Children Under 16 years
Exceptional
14.2%
Tragic
29.0%
Boys Under 16 years
Exceptional
14.3%
Tragic
29.7%
Girls Under 16 years
Exceptional
14.4%
Tragic
28.2%
Single Males
Poor
13.1%
Tragic
20.2%
Single Females
Exceptional
19.5%
Tragic
30.3%
Single Fathers
Exceptional
15.6%
Exceptional
14.8%
Single Mothers
Exceptional
27.9%
Tragic
38.6%
Married Couples
Exceptional
4.1%
Tragic
11.4%
Seniors Over 65 years
Exceptional
9.6%
Tragic
19.8%
Seniors Over 75 years
Exceptional
11.2%
Tragic
23.9%
Receiving Food Stamps
Exceptional
9.5%
Tragic
19.0%

Zimbabwean vs Pima Unemployment

When considering unemployment, the most significant differences between Zimbabwean and Pima communities in the United States are seen in unemployment among ages 35 to 44 years (4.3% compared to 11.8%, a difference of 172.0%), unemployment among women with children under 18 years (5.1% compared to 11.7%, a difference of 127.2%), and unemployment among women with children ages 6 to 17 years (8.6% compared to 18.9%, a difference of 118.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.7% compared to 9.2%, a difference of 5.6%), unemployment among ages 60 to 64 years (4.5% compared to 4.8%, a difference of 6.9%), and unemployment among ages 65 to 74 years (5.9% compared to 6.6%, a difference of 11.3%).
Zimbabwean vs Pima Unemployment
Unemployment MetricZimbabweanPima
Unemployment
Exceptional
4.8%
Tragic
8.2%
Males
Exceptional
4.8%
Tragic
8.3%
Females
Exceptional
4.8%
Tragic
9.3%
Youth < 25
Exceptional
10.2%
Tragic
16.2%
Age | 16 to 19 years
Exceptional
15.4%
Tragic
23.1%
Age | 20 to 24 years
Exceptional
9.2%
Tragic
14.2%
Age | 25 to 29 years
Exceptional
6.4%
Tragic
11.8%
Age | 30 to 34 years
Exceptional
4.8%
Tragic
9.6%
Age | 35 to 44 years
Exceptional
4.3%
Tragic
11.8%
Age | 45 to 54 years
Exceptional
4.2%
Tragic
6.4%
Age | 55 to 59 years
Exceptional
4.2%
Tragic
6.6%
Age | 60 to 64 years
Exceptional
4.5%
Excellent
4.8%
Age | 65 to 74 years
Tragic
5.9%
Tragic
6.6%
Seniors > 65
Tragic
5.6%
Tragic
6.3%
Seniors > 75
Average
8.7%
Tragic
9.2%
Women w/ Children < 6
Exceptional
7.3%
Tragic
13.4%
Women w/ Children 6 to 17
Exceptional
8.6%
Tragic
18.9%
Women w/ Children < 18
Exceptional
5.1%
Tragic
11.7%

Zimbabwean vs Pima Labor Participation

When considering labor participation, the most significant differences between Zimbabwean and Pima communities in the United States are seen in in labor force | age 20-64 (81.0% compared to 69.0%, a difference of 17.2%), in labor force | age > 16 (67.3% compared to 57.4%, a difference of 17.2%), and in labor force | age 45-54 (84.0% compared to 72.8%, a difference of 15.4%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.6% compared to 79.0%, a difference of 8.4%), in labor force | age 20-24 (75.6% compared to 69.0%, a difference of 9.6%), and in labor force | age 16-19 (38.7% compared to 34.1%, a difference of 13.6%).
Zimbabwean vs Pima Labor Participation
Labor Participation MetricZimbabweanPima
In Labor Force | Age > 16
Exceptional
67.3%
Tragic
57.4%
In Labor Force | Age 20-64
Exceptional
81.0%
Tragic
69.0%
In Labor Force | Age 16-19
Exceptional
38.7%
Tragic
34.1%
In Labor Force | Age 20-24
Excellent
75.6%
Tragic
69.0%
In Labor Force | Age 25-29
Fair
84.5%
Tragic
74.3%
In Labor Force | Age 30-34
Exceptional
85.6%
Tragic
79.0%
In Labor Force | Age 35-44
Exceptional
86.1%
Tragic
74.8%
In Labor Force | Age 45-54
Exceptional
84.0%
Tragic
72.8%

Zimbabwean vs Pima Family Structure

When considering family structure, the most significant differences between Zimbabwean and Pima communities in the United States are seen in single father households (2.2% compared to 4.2%, a difference of 88.9%), births to unmarried women (28.7% compared to 51.5%, a difference of 79.4%), and single mother households (6.1% compared to 8.3%, a difference of 36.5%). Conversely, both communities are more comparable in terms of family households (64.1% compared to 65.9%, a difference of 2.9%), family households with children (27.9% compared to 27.1%, a difference of 3.0%), and divorced or separated (11.6% compared to 12.9%, a difference of 11.3%).
Zimbabwean vs Pima Family Structure
Family Structure MetricZimbabweanPima
Family Households
Fair
64.1%
Exceptional
65.9%
Family Households with Children
Exceptional
27.9%
Tragic
27.1%
Married-couple Households
Excellent
47.4%
Tragic
35.6%
Average Family Size
Poor
3.20
Exceptional
3.75
Single Father Households
Exceptional
2.2%
Tragic
4.2%
Single Mother Households
Excellent
6.1%
Tragic
8.3%
Currently Married
Good
47.0%
Tragic
35.9%
Divorced or Separated
Exceptional
11.6%
Tragic
12.9%
Births to Unmarried Women
Exceptional
28.7%
Tragic
51.5%

Zimbabwean vs Pima Vehicle Availability

When considering vehicle availability, the most significant differences between Zimbabwean and Pima communities in the United States are seen in no vehicles in household (9.0% compared to 14.1%, a difference of 56.3%), 4 or more vehicles in household (6.4% compared to 7.9%, a difference of 22.2%), and 2 or more vehicles in household (57.2% compared to 52.0%, a difference of 10.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.0% compared to 86.3%, a difference of 5.5%), 3 or more vehicles in household (20.3% compared to 22.0%, a difference of 8.8%), and 2 or more vehicles in household (57.2% compared to 52.0%, a difference of 10.0%).
Zimbabwean vs Pima Vehicle Availability
Vehicle Availability MetricZimbabweanPima
No Vehicles Available
Exceptional
9.0%
Tragic
14.1%
1+ Vehicles Available
Exceptional
91.0%
Tragic
86.3%
2+ Vehicles Available
Exceptional
57.2%
Tragic
52.0%
3+ Vehicles Available
Excellent
20.3%
Exceptional
22.0%
4+ Vehicles Available
Good
6.4%
Exceptional
7.9%

Zimbabwean vs Pima Education Level

When considering education level, the most significant differences between Zimbabwean and Pima communities in the United States are seen in master's degree (17.7% compared to 9.2%, a difference of 91.6%), bachelor's degree (43.3% compared to 23.2%, a difference of 86.5%), and doctorate degree (2.3% compared to 1.3%, a difference of 72.3%). Conversely, both communities are more comparable in terms of kindergarten (98.3% compared to 98.2%, a difference of 0.060%), 1st grade (98.3% compared to 98.2%, a difference of 0.060%), and 2nd grade (98.2% compared to 98.2%, a difference of 0.060%).
Zimbabwean vs Pima Education Level
Education Level MetricZimbabweanPima
No Schooling Completed
Exceptional
1.7%
Average
2.1%
Nursery School
Exceptional
98.3%
Exceptional
98.2%
Kindergarten
Exceptional
98.3%
Exceptional
98.2%
1st Grade
Exceptional
98.3%
Exceptional
98.2%
2nd Grade
Exceptional
98.2%
Exceptional
98.2%
3rd Grade
Exceptional
98.1%
Exceptional
98.0%
4th Grade
Exceptional
97.9%
Exceptional
97.7%
5th Grade
Exceptional
97.8%
Exceptional
97.6%
6th Grade
Exceptional
97.6%
Excellent
97.2%
7th Grade
Exceptional
96.8%
Good
96.1%
8th Grade
Exceptional
96.5%
Fair
95.6%
9th Grade
Exceptional
95.9%
Tragic
93.9%
10th Grade
Exceptional
94.9%
Tragic
91.2%
11th Grade
Exceptional
93.9%
Tragic
88.3%
12th Grade, No Diploma
Exceptional
92.7%
Tragic
84.6%
High School Diploma
Exceptional
91.1%
Tragic
81.6%
GED/Equivalency
Exceptional
88.0%
Tragic
76.4%
College, Under 1 year
Exceptional
69.9%
Tragic
51.4%
College, 1 year or more
Exceptional
64.2%
Tragic
45.6%
Associate's Degree
Exceptional
51.3%
Tragic
30.2%
Bachelor's Degree
Exceptional
43.3%
Tragic
23.2%
Master's Degree
Exceptional
17.7%
Tragic
9.2%
Professional Degree
Exceptional
5.2%
Tragic
3.3%
Doctorate Degree
Exceptional
2.3%
Tragic
1.3%

Zimbabwean vs Pima Disability

When considering disability, the most significant differences between Zimbabwean and Pima communities in the United States are seen in disability age 65 to 74 (21.5% compared to 38.6%, a difference of 79.1%), vision disability (2.0% compared to 3.3%, a difference of 69.8%), and disability age 35 to 64 (10.4% compared to 16.1%, a difference of 54.4%). Conversely, both communities are more comparable in terms of cognitive disability (17.6% compared to 18.8%, a difference of 6.7%), disability age under 5 (1.2% compared to 1.1%, a difference of 10.9%), and disability age 5 to 17 (5.5% compared to 6.2%, a difference of 11.2%).
Zimbabwean vs Pima Disability
Disability MetricZimbabweanPima
Disability
Exceptional
10.9%
Tragic
13.7%
Males
Exceptional
10.6%
Tragic
12.8%
Females
Exceptional
11.3%
Tragic
14.8%
Age | Under 5 years
Exceptional
1.2%
Exceptional
1.1%
Age | 5 to 17 years
Good
5.5%
Tragic
6.2%
Age | 18 to 34 years
Good
6.5%
Tragic
7.7%
Age | 35 to 64 years
Exceptional
10.4%
Tragic
16.1%
Age | 65 to 74 years
Exceptional
21.5%
Tragic
38.6%
Age | Over 75 years
Tragic
48.1%
Tragic
55.8%
Vision
Exceptional
2.0%
Tragic
3.3%
Hearing
Excellent
2.8%
Tragic
3.7%
Cognitive
Tragic
17.6%
Tragic
18.8%
Ambulatory
Exceptional
5.4%
Tragic
8.2%
Self-Care
Exceptional
2.2%
Tragic
2.8%