Hmong vs Zimbabwean Community Comparison

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Hmong
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 EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHonduranHopiHoumaHungarianIcelanderIndian (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 TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'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

Hmong

Zimbabweans

Average
Exceptional
4,737
SOCIAL INDEX
44.9/ 100
SOCIAL RATING
196th/ 347
SOCIAL RANK
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK

Zimbabwean Integration in Hmong Communities

The statistical analysis conducted on geographies consisting of 17,545,087 people shows a near-perfect positive correlation between the proportion of Zimbabweans within Hmong communities in the United States with a correlation coefficient (R) of 0.927. On average, for every 1% (one percent) increase in Hmong within a typical geography, there is an increase of 0.418% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hmong corresponds to an increase of 418.0 Zimbabweans.
Hmong Integration in Zimbabwean Communities

Hmong vs Zimbabwean Income

When considering income, the most significant differences between Hmong and Zimbabwean communities in the United States are seen in householder income ages 45 - 64 years ($88,115 compared to $106,849, a difference of 21.3%), median family income ($91,296 compared to $110,011, a difference of 20.5%), and per capita income ($38,120 compared to $45,804, a difference of 20.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($49,364 compared to $51,259, a difference of 3.8%), wage/income gap (27.7% compared to 26.3%, a difference of 5.2%), and median earnings ($42,111 compared to $48,229, a difference of 14.5%).
Hmong vs Zimbabwean Income
Income MetricHmongZimbabwean
Per Capita Income
Tragic
$38,120
Exceptional
$45,804
Median Family Income
Tragic
$91,296
Exceptional
$110,011
Median Household Income
Tragic
$75,839
Exceptional
$90,618
Median Earnings
Tragic
$42,111
Exceptional
$48,229
Median Male Earnings
Tragic
$48,254
Excellent
$56,302
Median Female Earnings
Tragic
$35,498
Exceptional
$40,798
Householder Age | Under 25 years
Tragic
$49,364
Tragic
$51,259
Householder Age | 25 - 44 years
Tragic
$84,258
Exceptional
$98,586
Householder Age | 45 - 64 years
Tragic
$88,115
Exceptional
$106,849
Householder Age | Over 65 years
Tragic
$56,339
Exceptional
$65,854
Wage/Income Gap
Tragic
27.7%
Fair
26.3%

Hmong vs Zimbabwean Poverty

When considering poverty, the most significant differences between Hmong and Zimbabwean communities in the United States are seen in child poverty under the age of 5 (18.5% compared to 15.2%, a difference of 22.2%), married-couple family poverty (5.0% compared to 4.1%, a difference of 22.0%), and child poverty among girls under 16 (17.5% compared to 14.4%, a difference of 21.5%). Conversely, both communities are more comparable in terms of single father poverty (15.9% compared to 15.6%, a difference of 1.9%), female poverty among 18-24 year olds (20.0% compared to 20.4%, a difference of 1.9%), and seniors poverty over the age of 75 (12.0% compared to 11.2%, a difference of 7.3%).
Hmong vs Zimbabwean Poverty
Poverty MetricHmongZimbabwean
Poverty
Poor
12.8%
Exceptional
11.3%
Families
Average
9.1%
Exceptional
7.8%
Males
Poor
11.6%
Exceptional
10.2%
Females
Fair
13.9%
Exceptional
12.3%
Females 18 to 24 years
Average
20.0%
Fair
20.4%
Females 25 to 34 years
Fair
13.9%
Exceptional
11.7%
Children Under 5 years
Tragic
18.5%
Exceptional
15.2%
Children Under 16 years
Poor
17.1%
Exceptional
14.2%
Boys Under 16 years
Fair
16.6%
Exceptional
14.3%
Girls Under 16 years
Poor
17.5%
Exceptional
14.4%
Single Males
Tragic
14.2%
Poor
13.1%
Single Females
Tragic
23.1%
Exceptional
19.5%
Single Fathers
Exceptional
15.9%
Exceptional
15.6%
Single Mothers
Tragic
31.2%
Exceptional
27.9%
Married Couples
Excellent
5.0%
Exceptional
4.1%
Seniors Over 65 years
Exceptional
10.4%
Exceptional
9.6%
Seniors Over 75 years
Good
12.0%
Exceptional
11.2%
Receiving Food Stamps
Excellent
10.9%
Exceptional
9.5%

Hmong vs Zimbabwean Unemployment

When considering unemployment, the most significant differences between Hmong and Zimbabwean communities in the United States are seen in unemployment among seniors over 75 years (13.7% compared to 8.7%, a difference of 57.3%), unemployment among ages 65 to 74 years (4.2% compared to 5.9%, a difference of 41.1%), and unemployment among ages 55 to 59 years (5.7% compared to 4.2%, a difference of 34.6%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.7% compared to 8.6%, a difference of 0.53%), unemployment among ages 30 to 34 years (4.9% compared to 4.8%, a difference of 0.98%), and unemployment among ages 20 to 24 years (9.4% compared to 9.2%, a difference of 1.8%).
Hmong vs Zimbabwean Unemployment
Unemployment MetricHmongZimbabwean
Unemployment
Exceptional
5.0%
Exceptional
4.8%
Males
Tragic
5.5%
Exceptional
4.8%
Females
Exceptional
4.4%
Exceptional
4.8%
Youth < 25
Exceptional
10.8%
Exceptional
10.2%
Age | 16 to 19 years
Exceptional
16.3%
Exceptional
15.4%
Age | 20 to 24 years
Exceptional
9.4%
Exceptional
9.2%
Age | 25 to 29 years
Exceptional
5.7%
Exceptional
6.4%
Age | 30 to 34 years
Exceptional
4.9%
Exceptional
4.8%
Age | 35 to 44 years
Tragic
5.0%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
3.7%
Exceptional
4.2%
Age | 55 to 59 years
Tragic
5.7%
Exceptional
4.2%
Age | 60 to 64 years
Exceptional
4.0%
Exceptional
4.5%
Age | 65 to 74 years
Exceptional
4.2%
Tragic
5.9%
Seniors > 65
Exceptional
4.2%
Tragic
5.6%
Seniors > 75
Tragic
13.7%
Average
8.7%
Women w/ Children < 6
Exceptional
6.7%
Exceptional
7.3%
Women w/ Children 6 to 17
Exceptional
8.7%
Exceptional
8.6%
Women w/ Children < 18
Exceptional
4.5%
Exceptional
5.1%

Hmong vs Zimbabwean Labor Participation

When considering labor participation, the most significant differences between Hmong and Zimbabwean communities in the United States are seen in in labor force | age > 16 (64.1% compared to 67.3%, a difference of 5.0%), in labor force | age 35-44 (82.6% compared to 86.1%, a difference of 4.3%), and in labor force | age 20-64 (77.9% compared to 81.0%, a difference of 3.9%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (38.7% compared to 38.7%, a difference of 0.010%), in labor force | age 25-29 (83.7% compared to 84.5%, a difference of 0.94%), and in labor force | age 20-24 (76.5% compared to 75.6%, a difference of 1.2%).
Hmong vs Zimbabwean Labor Participation
Labor Participation MetricHmongZimbabwean
In Labor Force | Age > 16
Tragic
64.1%
Exceptional
67.3%
In Labor Force | Age 20-64
Tragic
77.9%
Exceptional
81.0%
In Labor Force | Age 16-19
Exceptional
38.7%
Exceptional
38.7%
In Labor Force | Age 20-24
Exceptional
76.5%
Excellent
75.6%
In Labor Force | Age 25-29
Tragic
83.7%
Fair
84.5%
In Labor Force | Age 30-34
Tragic
82.4%
Exceptional
85.6%
In Labor Force | Age 35-44
Tragic
82.6%
Exceptional
86.1%
In Labor Force | Age 45-54
Tragic
81.7%
Exceptional
84.0%

Hmong vs Zimbabwean Family Structure

When considering family structure, the most significant differences between Hmong and Zimbabwean communities in the United States are seen in single father households (2.4% compared to 2.2%, a difference of 7.1%), divorced or separated (12.3% compared to 11.6%, a difference of 6.3%), and single mother households (6.4% compared to 6.1%, a difference of 5.3%). Conversely, both communities are more comparable in terms of currently married (47.1% compared to 47.0%, a difference of 0.15%), average family size (3.21 compared to 3.20, a difference of 0.27%), and married-couple households (47.0% compared to 47.4%, a difference of 0.88%).
Hmong vs Zimbabwean Family Structure
Family Structure MetricHmongZimbabwean
Family Households
Exceptional
64.9%
Fair
64.1%
Family Households with Children
Exceptional
28.6%
Exceptional
27.9%
Married-couple Households
Good
47.0%
Excellent
47.4%
Average Family Size
Fair
3.21
Poor
3.20
Single Father Households
Fair
2.4%
Exceptional
2.2%
Single Mother Households
Fair
6.4%
Excellent
6.1%
Currently Married
Good
47.1%
Good
47.0%
Divorced or Separated
Tragic
12.3%
Exceptional
11.6%
Births to Unmarried Women
Exceptional
27.7%
Exceptional
28.7%

Hmong vs Zimbabwean Vehicle Availability

When considering vehicle availability, the most significant differences between Hmong and Zimbabwean communities in the United States are seen in no vehicles in household (10.4% compared to 9.0%, a difference of 14.7%), 4 or more vehicles in household (7.0% compared to 6.4%, a difference of 8.4%), and 3 or more vehicles in household (21.0% compared to 20.3%, a difference of 3.6%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.8% compared to 57.2%, a difference of 1.0%), 1 or more vehicles in household (89.6% compared to 91.0%, a difference of 1.5%), and 3 or more vehicles in household (21.0% compared to 20.3%, a difference of 3.6%).
Hmong vs Zimbabwean Vehicle Availability
Vehicle Availability MetricHmongZimbabwean
No Vehicles Available
Average
10.4%
Exceptional
9.0%
1+ Vehicles Available
Average
89.6%
Exceptional
91.0%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
57.2%
3+ Vehicles Available
Exceptional
21.0%
Excellent
20.3%
4+ Vehicles Available
Exceptional
7.0%
Good
6.4%

Hmong vs Zimbabwean Education Level

When considering education level, the most significant differences between Hmong and Zimbabwean communities in the United States are seen in doctorate degree (1.6% compared to 2.3%, a difference of 44.7%), professional degree (3.7% compared to 5.2%, a difference of 38.8%), and master's degree (13.4% compared to 17.7%, a difference of 32.3%). Conversely, both communities are more comparable in terms of 5th grade (97.6% compared to 97.8%, a difference of 0.22%), 6th grade (97.4% compared to 97.6%, a difference of 0.22%), and 4th grade (97.7% compared to 97.9%, a difference of 0.23%).
Hmong vs Zimbabwean Education Level
Education Level MetricHmongZimbabwean
No Schooling Completed
Excellent
1.9%
Exceptional
1.7%
Nursery School
Good
98.1%
Exceptional
98.3%
Kindergarten
Good
98.1%
Exceptional
98.3%
1st Grade
Good
98.0%
Exceptional
98.3%
2nd Grade
Good
98.0%
Exceptional
98.2%
3rd Grade
Excellent
97.9%
Exceptional
98.1%
4th Grade
Excellent
97.7%
Exceptional
97.9%
5th Grade
Exceptional
97.6%
Exceptional
97.8%
6th Grade
Exceptional
97.4%
Exceptional
97.6%
7th Grade
Exceptional
96.4%
Exceptional
96.8%
8th Grade
Excellent
96.1%
Exceptional
96.5%
9th Grade
Excellent
95.2%
Exceptional
95.9%
10th Grade
Excellent
94.1%
Exceptional
94.9%
11th Grade
Good
92.8%
Exceptional
93.9%
12th Grade, No Diploma
Average
91.3%
Exceptional
92.7%
High School Diploma
Average
89.1%
Exceptional
91.1%
GED/Equivalency
Poor
84.9%
Exceptional
88.0%
College, Under 1 year
Tragic
63.5%
Exceptional
69.9%
College, 1 year or more
Tragic
57.2%
Exceptional
64.2%
Associate's Degree
Tragic
43.4%
Exceptional
51.3%
Bachelor's Degree
Tragic
34.8%
Exceptional
43.3%
Master's Degree
Tragic
13.4%
Exceptional
17.7%
Professional Degree
Tragic
3.7%
Exceptional
5.2%
Doctorate Degree
Tragic
1.6%
Exceptional
2.3%

Hmong vs Zimbabwean Disability

When considering disability, the most significant differences between Hmong and Zimbabwean communities in the United States are seen in disability age 35 to 64 (13.1% compared to 10.4%, a difference of 25.8%), disability age 18 to 34 (8.1% compared to 6.5%, a difference of 24.4%), and ambulatory disability (6.6% compared to 5.4%, a difference of 22.0%). Conversely, both communities are more comparable in terms of disability age over 75 (48.2% compared to 48.1%, a difference of 0.31%), disability age under 5 (1.1% compared to 1.2%, a difference of 4.1%), and cognitive disability (18.4% compared to 17.6%, a difference of 4.7%).
Hmong vs Zimbabwean Disability
Disability MetricHmongZimbabwean
Disability
Tragic
12.8%
Exceptional
10.9%
Males
Tragic
12.5%
Exceptional
10.6%
Females
Tragic
13.1%
Exceptional
11.3%
Age | Under 5 years
Exceptional
1.1%
Exceptional
1.2%
Age | 5 to 17 years
Tragic
6.3%
Good
5.5%
Age | 18 to 34 years
Tragic
8.1%
Good
6.5%
Age | 35 to 64 years
Tragic
13.1%
Exceptional
10.4%
Age | 65 to 74 years
Tragic
25.7%
Exceptional
21.5%
Age | Over 75 years
Tragic
48.2%
Tragic
48.1%
Vision
Tragic
2.3%
Exceptional
2.0%
Hearing
Tragic
3.4%
Excellent
2.8%
Cognitive
Tragic
18.4%
Tragic
17.6%
Ambulatory
Tragic
6.6%
Exceptional
5.4%
Self-Care
Excellent
2.4%
Exceptional
2.2%