French vs Zimbabwean Community Comparison

COMPARE

French
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 EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrench 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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

French

Zimbabweans

Average
Exceptional
5,755
SOCIAL INDEX
55.1/ 100
SOCIAL RATING
169th/ 347
SOCIAL RANK
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK

Zimbabwean Integration in French Communities

The statistical analysis conducted on geographies consisting of 69,161,737 people shows a substantial positive correlation between the proportion of Zimbabweans within French communities in the United States with a correlation coefficient (R) of 0.542. On average, for every 1% (one percent) increase in French within a typical geography, there is an increase of 0.007% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 French corresponds to an increase of 6.9 Zimbabweans.
French Integration in Zimbabwean Communities

French vs Zimbabwean Income

When considering income, the most significant differences between French and Zimbabwean communities in the United States are seen in householder income over 65 years ($59,656 compared to $65,854, a difference of 10.4%), wage/income gap (28.7% compared to 26.3%, a difference of 9.0%), and median household income ($83,468 compared to $90,618, a difference of 8.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,230 compared to $51,259, a difference of 0.060%), median male earnings ($55,350 compared to $56,302, a difference of 1.7%), and median earnings ($46,296 compared to $48,229, a difference of 4.2%).
French vs Zimbabwean Income
Income MetricFrenchZimbabwean
Per Capita Income
Average
$43,685
Exceptional
$45,804
Median Family Income
Average
$102,368
Exceptional
$110,011
Median Household Income
Fair
$83,468
Exceptional
$90,618
Median Earnings
Average
$46,296
Exceptional
$48,229
Median Male Earnings
Good
$55,350
Excellent
$56,302
Median Female Earnings
Tragic
$38,457
Exceptional
$40,798
Householder Age | Under 25 years
Tragic
$51,230
Tragic
$51,259
Householder Age | 25 - 44 years
Fair
$93,665
Exceptional
$98,586
Householder Age | 45 - 64 years
Average
$99,824
Exceptional
$106,849
Householder Age | Over 65 years
Fair
$59,656
Exceptional
$65,854
Wage/Income Gap
Tragic
28.7%
Fair
26.3%

French vs Zimbabwean Poverty

When considering poverty, the most significant differences between French and Zimbabwean communities in the United States are seen in female poverty among 25-34 year olds (14.3% compared to 11.7%, a difference of 22.6%), single father poverty (18.2% compared to 15.6%, a difference of 16.7%), and child poverty under the age of 5 (17.5% compared to 15.2%, a difference of 15.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.1% compared to 11.2%, a difference of 0.40%), seniors poverty over the age of 65 (9.7% compared to 9.6%, a difference of 0.64%), and female poverty among 18-24 year olds (20.7% compared to 20.4%, a difference of 1.4%).
French vs Zimbabwean Poverty
Poverty MetricFrenchZimbabwean
Poverty
Excellent
11.8%
Exceptional
11.3%
Families
Exceptional
8.3%
Exceptional
7.8%
Males
Excellent
10.7%
Exceptional
10.2%
Females
Excellent
12.9%
Exceptional
12.3%
Females 18 to 24 years
Tragic
20.7%
Fair
20.4%
Females 25 to 34 years
Tragic
14.3%
Exceptional
11.7%
Children Under 5 years
Fair
17.5%
Exceptional
15.2%
Children Under 16 years
Good
15.6%
Exceptional
14.2%
Boys Under 16 years
Good
15.8%
Exceptional
14.3%
Girls Under 16 years
Good
16.0%
Exceptional
14.4%
Single Males
Tragic
14.4%
Poor
13.1%
Single Females
Tragic
22.2%
Exceptional
19.5%
Single Fathers
Tragic
18.2%
Exceptional
15.6%
Single Mothers
Tragic
30.7%
Exceptional
27.9%
Married Couples
Exceptional
4.3%
Exceptional
4.1%
Seniors Over 65 years
Exceptional
9.7%
Exceptional
9.6%
Seniors Over 75 years
Exceptional
11.1%
Exceptional
11.2%
Receiving Food Stamps
Exceptional
10.7%
Exceptional
9.5%

French vs Zimbabwean Unemployment

When considering unemployment, the most significant differences between French and Zimbabwean communities in the United States are seen in unemployment among seniors over 75 years (10.3% compared to 8.7%, a difference of 17.7%), unemployment among ages 30 to 34 years (5.7% compared to 4.8%, a difference of 17.1%), and unemployment among women with children ages 6 to 17 years (9.7% compared to 8.6%, a difference of 12.2%). Conversely, both communities are more comparable in terms of female unemployment (4.8% compared to 4.8%, a difference of 0.73%), unemployment (4.8% compared to 4.8%, a difference of 1.6%), and unemployment among women with children under 18 years (5.2% compared to 5.1%, a difference of 2.0%).
French vs Zimbabwean Unemployment
Unemployment MetricFrenchZimbabwean
Unemployment
Exceptional
4.8%
Exceptional
4.8%
Males
Exceptional
5.0%
Exceptional
4.8%
Females
Exceptional
4.8%
Exceptional
4.8%
Youth < 25
Exceptional
11.2%
Exceptional
10.2%
Age | 16 to 19 years
Exceptional
16.8%
Exceptional
15.4%
Age | 20 to 24 years
Excellent
10.1%
Exceptional
9.2%
Age | 25 to 29 years
Poor
6.9%
Exceptional
6.4%
Age | 30 to 34 years
Poor
5.7%
Exceptional
4.8%
Age | 35 to 44 years
Average
4.7%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.2%
Age | 60 to 64 years
Exceptional
4.7%
Exceptional
4.5%
Age | 65 to 74 years
Average
5.4%
Tragic
5.9%
Seniors > 65
Good
5.1%
Tragic
5.6%
Seniors > 75
Tragic
10.3%
Average
8.7%
Women w/ Children < 6
Tragic
8.2%
Exceptional
7.3%
Women w/ Children 6 to 17
Tragic
9.7%
Exceptional
8.6%
Women w/ Children < 18
Excellent
5.2%
Exceptional
5.1%

French vs Zimbabwean Labor Participation

When considering labor participation, the most significant differences between French and Zimbabwean communities in the United States are seen in in labor force | age 16-19 (42.1% compared to 38.7%, a difference of 8.8%), in labor force | age > 16 (63.9% compared to 67.3%, a difference of 5.3%), and in labor force | age 20-64 (78.9% compared to 81.0%, a difference of 2.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.5%, a difference of 0.25%), in labor force | age 30-34 (84.4% compared to 85.6%, a difference of 1.5%), and in labor force | age 45-54 (82.2% compared to 84.0%, a difference of 2.2%).
French vs Zimbabwean Labor Participation
Labor Participation MetricFrenchZimbabwean
In Labor Force | Age > 16
Tragic
63.9%
Exceptional
67.3%
In Labor Force | Age 20-64
Tragic
78.9%
Exceptional
81.0%
In Labor Force | Age 16-19
Exceptional
42.1%
Exceptional
38.7%
In Labor Force | Age 20-24
Exceptional
77.4%
Excellent
75.6%
In Labor Force | Age 25-29
Good
84.7%
Fair
84.5%
In Labor Force | Age 30-34
Poor
84.4%
Exceptional
85.6%
In Labor Force | Age 35-44
Tragic
84.0%
Exceptional
86.1%
In Labor Force | Age 45-54
Tragic
82.2%
Exceptional
84.0%

French vs Zimbabwean Family Structure

When considering family structure, the most significant differences between French and Zimbabwean communities in the United States are seen in births to unmarried women (33.4% compared to 28.7%, a difference of 16.5%), divorced or separated (12.8% compared to 11.6%, a difference of 10.2%), and single father households (2.4% compared to 2.2%, a difference of 7.2%). Conversely, both communities are more comparable in terms of family households (64.0% compared to 64.1%, a difference of 0.020%), single mother households (6.0% compared to 6.1%, a difference of 1.0%), and married-couple households (48.0% compared to 47.4%, a difference of 1.3%).
French vs Zimbabwean Family Structure
Family Structure MetricFrenchZimbabwean
Family Households
Fair
64.0%
Fair
64.1%
Family Households with Children
Tragic
26.7%
Exceptional
27.9%
Married-couple Households
Exceptional
48.0%
Excellent
47.4%
Average Family Size
Tragic
3.10
Poor
3.20
Single Father Households
Fair
2.4%
Exceptional
2.2%
Single Mother Households
Excellent
6.0%
Excellent
6.1%
Currently Married
Exceptional
48.4%
Good
47.0%
Divorced or Separated
Tragic
12.8%
Exceptional
11.6%
Births to Unmarried Women
Tragic
33.4%
Exceptional
28.7%

French vs Zimbabwean Vehicle Availability

When considering vehicle availability, the most significant differences between French and Zimbabwean communities in the United States are seen in no vehicles in household (7.4% compared to 9.0%, a difference of 21.5%), 4 or more vehicles in household (6.9% compared to 6.4%, a difference of 7.6%), and 3 or more vehicles in household (21.4% compared to 20.3%, a difference of 5.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.7% compared to 91.0%, a difference of 1.8%), 2 or more vehicles in household (59.8% compared to 57.2%, a difference of 4.4%), and 3 or more vehicles in household (21.4% compared to 20.3%, a difference of 5.7%).
French vs Zimbabwean Vehicle Availability
Vehicle Availability MetricFrenchZimbabwean
No Vehicles Available
Exceptional
7.4%
Exceptional
9.0%
1+ Vehicles Available
Exceptional
92.7%
Exceptional
91.0%
2+ Vehicles Available
Exceptional
59.8%
Exceptional
57.2%
3+ Vehicles Available
Exceptional
21.4%
Excellent
20.3%
4+ Vehicles Available
Exceptional
6.9%
Good
6.4%

French vs Zimbabwean Education Level

When considering education level, the most significant differences between French and Zimbabwean communities in the United States are seen in doctorate degree (1.8% compared to 2.3%, a difference of 23.8%), master's degree (14.4% compared to 17.7%, a difference of 23.4%), and professional degree (4.2% compared to 5.2%, a difference of 22.4%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.6% compared to 92.7%, a difference of 0.12%), high school diploma (91.0% compared to 91.1%, a difference of 0.12%), and 11th grade (94.1% compared to 93.9%, a difference of 0.17%).
French vs Zimbabwean Education Level
Education Level MetricFrenchZimbabwean
No Schooling Completed
Exceptional
1.5%
Exceptional
1.7%
Nursery School
Exceptional
98.6%
Exceptional
98.3%
Kindergarten
Exceptional
98.6%
Exceptional
98.3%
1st Grade
Exceptional
98.6%
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
98.2%
Exceptional
97.8%
6th Grade
Exceptional
98.0%
Exceptional
97.6%
7th Grade
Exceptional
97.4%
Exceptional
96.8%
8th Grade
Exceptional
97.1%
Exceptional
96.5%
9th Grade
Exceptional
96.3%
Exceptional
95.9%
10th Grade
Exceptional
95.3%
Exceptional
94.9%
11th Grade
Exceptional
94.1%
Exceptional
93.9%
12th Grade, No Diploma
Exceptional
92.6%
Exceptional
92.7%
High School Diploma
Exceptional
91.0%
Exceptional
91.1%
GED/Equivalency
Exceptional
87.1%
Exceptional
88.0%
College, Under 1 year
Average
65.4%
Exceptional
69.9%
College, 1 year or more
Fair
58.9%
Exceptional
64.2%
Associate's Degree
Fair
45.4%
Exceptional
51.3%
Bachelor's Degree
Poor
36.5%
Exceptional
43.3%
Master's Degree
Fair
14.4%
Exceptional
17.7%
Professional Degree
Fair
4.2%
Exceptional
5.2%
Doctorate Degree
Average
1.8%
Exceptional
2.3%

French vs Zimbabwean Disability

When considering disability, the most significant differences between French and Zimbabwean communities in the United States are seen in disability age under 5 (1.7% compared to 1.2%, a difference of 43.7%), hearing disability (3.8% compared to 2.8%, a difference of 32.1%), and male disability (13.0% compared to 10.6%, a difference of 23.3%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 48.1%, a difference of 1.8%), cognitive disability (17.0% compared to 17.6%, a difference of 3.6%), and disability age 65 to 74 (23.9% compared to 21.5%, a difference of 10.9%).
French vs Zimbabwean Disability
Disability MetricFrenchZimbabwean
Disability
Tragic
13.2%
Exceptional
10.9%
Males
Tragic
13.0%
Exceptional
10.6%
Females
Tragic
13.3%
Exceptional
11.3%
Age | Under 5 years
Tragic
1.7%
Exceptional
1.2%
Age | 5 to 17 years
Tragic
6.4%
Good
5.5%
Age | 18 to 34 years
Tragic
7.9%
Good
6.5%
Age | 35 to 64 years
Tragic
12.7%
Exceptional
10.4%
Age | 65 to 74 years
Poor
23.9%
Exceptional
21.5%
Age | Over 75 years
Good
47.2%
Tragic
48.1%
Vision
Tragic
2.3%
Exceptional
2.0%
Hearing
Tragic
3.8%
Excellent
2.8%
Cognitive
Excellent
17.0%
Tragic
17.6%
Ambulatory
Tragic
6.6%
Exceptional
5.4%
Self-Care
Tragic
2.5%
Exceptional
2.2%