Immigrants from Oceania vs Hmong Community Comparison

COMPARE

Immigrants from Oceania
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIndian (Asian)IndonesianInupiatIranianIraqiIrishIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral 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 GrenadinesSudanSwedenSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Hmong
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch 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 EuropeNorwayPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi 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

Immigrants from Oceania

Hmong

Average
Average
6,183
SOCIAL INDEX
59.3/ 100
SOCIAL RATING
161st/ 347
SOCIAL RANK
4,737
SOCIAL INDEX
44.9/ 100
SOCIAL RATING
196th/ 347
SOCIAL RANK

Hmong Integration in Immigrants from Oceania Communities

The statistical analysis conducted on geographies consisting of 23,260,275 people shows a poor negative correlation between the proportion of Hmong within Immigrant from Oceania communities in the United States with a correlation coefficient (R) of -0.151. On average, for every 1% (one percent) increase in Immigrants from Oceania within a typical geography, there is a decrease of 0.008% in Hmong. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Oceania corresponds to a decrease of 7.6 Hmong.
Immigrants from Oceania Integration in Hmong Communities

Immigrants from Oceania vs Hmong Income

When considering income, the most significant differences between Immigrants from Oceania and Hmong communities in the United States are seen in per capita income ($45,220 compared to $38,120, a difference of 18.6%), householder income ages 45 - 64 years ($103,705 compared to $88,115, a difference of 17.7%), and median household income ($89,100 compared to $75,839, a difference of 17.5%). Conversely, both communities are more comparable in terms of wage/income gap (25.6% compared to 27.7%, a difference of 8.0%), householder income under 25 years ($53,680 compared to $49,364, a difference of 8.7%), and median earnings ($47,617 compared to $42,111, a difference of 13.1%).
Immigrants from Oceania vs Hmong Income
Income MetricImmigrants from OceaniaHmong
Per Capita Income
Excellent
$45,220
Tragic
$38,120
Median Family Income
Excellent
$106,453
Tragic
$91,296
Median Household Income
Exceptional
$89,100
Tragic
$75,839
Median Earnings
Excellent
$47,617
Tragic
$42,111
Median Male Earnings
Good
$55,712
Tragic
$48,254
Median Female Earnings
Good
$40,297
Tragic
$35,498
Householder Age | Under 25 years
Exceptional
$53,680
Tragic
$49,364
Householder Age | 25 - 44 years
Excellent
$97,623
Tragic
$84,258
Householder Age | 45 - 64 years
Excellent
$103,705
Tragic
$88,115
Householder Age | Over 65 years
Exceptional
$64,416
Tragic
$56,339
Wage/Income Gap
Average
25.6%
Tragic
27.7%

Immigrants from Oceania vs Hmong Poverty

When considering poverty, the most significant differences between Immigrants from Oceania and Hmong communities in the United States are seen in single male poverty (12.4% compared to 14.2%, a difference of 14.4%), single female poverty (20.7% compared to 23.1%, a difference of 11.7%), and child poverty under the age of 5 (16.9% compared to 18.5%, a difference of 9.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.4% compared to 10.4%, a difference of 0.39%), married-couple family poverty (5.0% compared to 5.0%, a difference of 0.92%), and female poverty among 18-24 year olds (19.7% compared to 20.0%, a difference of 1.5%).
Immigrants from Oceania vs Hmong Poverty
Poverty MetricImmigrants from OceaniaHmong
Poverty
Average
12.3%
Poor
12.8%
Families
Good
8.7%
Average
9.1%
Males
Average
11.2%
Poor
11.6%
Females
Average
13.3%
Fair
13.9%
Females 18 to 24 years
Excellent
19.7%
Average
20.0%
Females 25 to 34 years
Average
13.5%
Fair
13.9%
Children Under 5 years
Good
16.9%
Tragic
18.5%
Children Under 16 years
Good
15.9%
Poor
17.1%
Boys Under 16 years
Good
16.0%
Fair
16.6%
Girls Under 16 years
Good
16.1%
Poor
17.5%
Single Males
Exceptional
12.4%
Tragic
14.2%
Single Females
Good
20.7%
Tragic
23.1%
Single Fathers
Exceptional
15.4%
Exceptional
15.9%
Single Mothers
Good
28.7%
Tragic
31.2%
Married Couples
Good
5.0%
Excellent
5.0%
Seniors Over 65 years
Excellent
10.4%
Exceptional
10.4%
Seniors Over 75 years
Excellent
11.7%
Good
12.0%
Receiving Food Stamps
Good
11.4%
Excellent
10.9%

Immigrants from Oceania vs Hmong Unemployment

When considering unemployment, the most significant differences between Immigrants from Oceania and Hmong communities in the United States are seen in unemployment among seniors over 75 years (9.0% compared to 13.7%, a difference of 52.9%), unemployment among ages 65 to 74 years (5.2% compared to 4.2%, a difference of 22.6%), and unemployment among ages 55 to 59 years (4.7% compared to 5.7%, a difference of 21.6%). Conversely, both communities are more comparable in terms of male unemployment (5.3% compared to 5.5%, a difference of 3.2%), unemployment among ages 35 to 44 years (4.8% compared to 5.0%, a difference of 3.7%), and unemployment (5.2% compared to 5.0%, a difference of 5.0%).
Immigrants from Oceania vs Hmong Unemployment
Unemployment MetricImmigrants from OceaniaHmong
Unemployment
Good
5.2%
Exceptional
5.0%
Males
Average
5.3%
Tragic
5.5%
Females
Good
5.2%
Exceptional
4.4%
Youth < 25
Excellent
11.4%
Exceptional
10.8%
Age | 16 to 19 years
Excellent
17.2%
Exceptional
16.3%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
9.4%
Age | 25 to 29 years
Exceptional
6.4%
Exceptional
5.7%
Age | 30 to 34 years
Good
5.4%
Exceptional
4.9%
Age | 35 to 44 years
Fair
4.8%
Tragic
5.0%
Age | 45 to 54 years
Excellent
4.4%
Exceptional
3.7%
Age | 55 to 59 years
Exceptional
4.7%
Tragic
5.7%
Age | 60 to 64 years
Exceptional
4.7%
Exceptional
4.0%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
4.2%
Seniors > 65
Exceptional
5.0%
Exceptional
4.2%
Seniors > 75
Poor
9.0%
Tragic
13.7%
Women w/ Children < 6
Good
7.5%
Exceptional
6.7%
Women w/ Children 6 to 17
Exceptional
8.1%
Exceptional
8.7%
Women w/ Children < 18
Excellent
5.3%
Exceptional
4.5%

Immigrants from Oceania vs Hmong Labor Participation

When considering labor participation, the most significant differences between Immigrants from Oceania and Hmong communities in the United States are seen in in labor force | age > 16 (65.5% compared to 64.1%, a difference of 2.2%), in labor force | age 16-19 (37.9% compared to 38.7%, a difference of 2.2%), and in labor force | age 30-34 (84.0% compared to 82.4%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (82.1% compared to 81.7%, a difference of 0.48%), in labor force | age 20-24 (76.1% compared to 76.5%, a difference of 0.54%), and in labor force | age 25-29 (84.2% compared to 83.7%, a difference of 0.56%).
Immigrants from Oceania vs Hmong Labor Participation
Labor Participation MetricImmigrants from OceaniaHmong
In Labor Force | Age > 16
Excellent
65.5%
Tragic
64.1%
In Labor Force | Age 20-64
Poor
79.3%
Tragic
77.9%
In Labor Force | Age 16-19
Exceptional
37.9%
Exceptional
38.7%
In Labor Force | Age 20-24
Exceptional
76.1%
Exceptional
76.5%
In Labor Force | Age 25-29
Tragic
84.2%
Tragic
83.7%
In Labor Force | Age 30-34
Tragic
84.0%
Tragic
82.4%
In Labor Force | Age 35-44
Tragic
83.9%
Tragic
82.6%
In Labor Force | Age 45-54
Tragic
82.1%
Tragic
81.7%

Immigrants from Oceania vs Hmong Family Structure

When considering family structure, the most significant differences between Immigrants from Oceania and Hmong communities in the United States are seen in births to unmarried women (30.6% compared to 27.7%, a difference of 10.2%), single father households (2.5% compared to 2.4%, a difference of 3.8%), and divorced or separated (11.9% compared to 12.3%, a difference of 3.1%). Conversely, both communities are more comparable in terms of family households (64.9% compared to 64.9%, a difference of 0.050%), married-couple households (46.9% compared to 47.0%, a difference of 0.070%), and currently married (46.5% compared to 47.1%, a difference of 1.1%).
Immigrants from Oceania vs Hmong Family Structure
Family Structure MetricImmigrants from OceaniaHmong
Family Households
Exceptional
64.9%
Exceptional
64.9%
Family Households with Children
Exceptional
28.1%
Exceptional
28.6%
Married-couple Households
Good
46.9%
Good
47.0%
Average Family Size
Exceptional
3.29
Fair
3.21
Single Father Households
Tragic
2.5%
Fair
2.4%
Single Mother Households
Average
6.3%
Fair
6.4%
Currently Married
Average
46.5%
Good
47.1%
Divorced or Separated
Good
11.9%
Tragic
12.3%
Births to Unmarried Women
Excellent
30.6%
Exceptional
27.7%

Immigrants from Oceania vs Hmong Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Oceania and Hmong communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 7.0%, a difference of 9.3%), no vehicles in household (9.7% compared to 10.4%, a difference of 6.5%), and 3 or more vehicles in household (21.8% compared to 21.0%, a difference of 3.9%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.5% compared to 57.8%, a difference of 0.47%), 1 or more vehicles in household (90.4% compared to 89.6%, a difference of 0.80%), and 3 or more vehicles in household (21.8% compared to 21.0%, a difference of 3.9%).
Immigrants from Oceania vs Hmong Vehicle Availability
Vehicle Availability MetricImmigrants from OceaniaHmong
No Vehicles Available
Excellent
9.7%
Average
10.4%
1+ Vehicles Available
Excellent
90.4%
Average
89.6%
2+ Vehicles Available
Exceptional
57.5%
Exceptional
57.8%
3+ Vehicles Available
Exceptional
21.8%
Exceptional
21.0%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
7.0%

Immigrants from Oceania vs Hmong Education Level

When considering education level, the most significant differences between Immigrants from Oceania and Hmong communities in the United States are seen in professional degree (4.6% compared to 3.7%, a difference of 22.0%), doctorate degree (1.9% compared to 1.6%, a difference of 21.6%), and no schooling completed (2.2% compared to 1.9%, a difference of 15.2%). Conversely, both communities are more comparable in terms of nursery school (97.8% compared to 98.1%, a difference of 0.25%), kindergarten (97.8% compared to 98.1%, a difference of 0.26%), and 1st grade (97.8% compared to 98.0%, a difference of 0.27%).
Immigrants from Oceania vs Hmong Education Level
Education Level MetricImmigrants from OceaniaHmong
No Schooling Completed
Poor
2.2%
Excellent
1.9%
Nursery School
Poor
97.8%
Good
98.1%
Kindergarten
Poor
97.8%
Good
98.1%
1st Grade
Poor
97.8%
Good
98.0%
2nd Grade
Poor
97.7%
Good
98.0%
3rd Grade
Tragic
97.6%
Excellent
97.9%
4th Grade
Tragic
97.3%
Excellent
97.7%
5th Grade
Poor
97.1%
Exceptional
97.6%
6th Grade
Poor
96.8%
Exceptional
97.4%
7th Grade
Tragic
95.7%
Exceptional
96.4%
8th Grade
Tragic
95.3%
Excellent
96.1%
9th Grade
Poor
94.5%
Excellent
95.2%
10th Grade
Poor
93.4%
Excellent
94.1%
11th Grade
Fair
92.2%
Good
92.8%
12th Grade, No Diploma
Fair
90.9%
Average
91.3%
High School Diploma
Fair
88.8%
Average
89.1%
GED/Equivalency
Fair
85.5%
Poor
84.9%
College, Under 1 year
Average
65.6%
Tragic
63.5%
College, 1 year or more
Average
59.4%
Tragic
57.2%
Associate's Degree
Fair
45.8%
Tragic
43.4%
Bachelor's Degree
Fair
37.3%
Tragic
34.8%
Master's Degree
Fair
14.7%
Tragic
13.4%
Professional Degree
Good
4.6%
Tragic
3.7%
Doctorate Degree
Good
1.9%
Tragic
1.6%

Immigrants from Oceania vs Hmong Disability

When considering disability, the most significant differences between Immigrants from Oceania and Hmong communities in the United States are seen in disability age 18 to 34 (6.7% compared to 8.1%, a difference of 20.8%), disability age 5 to 17 (5.4% compared to 6.3%, a difference of 16.5%), and disability age 35 to 64 (11.4% compared to 13.1%, a difference of 15.6%). Conversely, both communities are more comparable in terms of disability age over 75 (48.0% compared to 48.2%, a difference of 0.39%), disability age under 5 (1.2% compared to 1.1%, a difference of 2.8%), and self-care disability (2.5% compared to 2.4%, a difference of 3.8%).
Immigrants from Oceania vs Hmong Disability
Disability MetricImmigrants from OceaniaHmong
Disability
Fair
11.8%
Tragic
12.8%
Males
Fair
11.4%
Tragic
12.5%
Females
Good
12.1%
Tragic
13.1%
Age | Under 5 years
Exceptional
1.2%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
5.4%
Tragic
6.3%
Age | 18 to 34 years
Fair
6.7%
Tragic
8.1%
Age | 35 to 64 years
Fair
11.4%
Tragic
13.1%
Age | 65 to 74 years
Poor
24.0%
Tragic
25.7%
Age | Over 75 years
Tragic
48.0%
Tragic
48.2%
Vision
Average
2.2%
Tragic
2.3%
Hearing
Tragic
3.2%
Tragic
3.4%
Cognitive
Tragic
17.6%
Tragic
18.4%
Ambulatory
Good
6.1%
Tragic
6.6%
Self-Care
Fair
2.5%
Excellent
2.4%