Filipino vs Japanese Community Comparison

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Filipino
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Japanese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFinnishFrenchFrench 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

Filipinos

Japanese

Exceptional
Fair
9,951
SOCIAL INDEX
97.0/ 100
SOCIAL RATING
5th/ 347
SOCIAL RANK
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK

Japanese Integration in Filipino Communities

The statistical analysis conducted on geographies consisting of 174,752,510 people shows no correlation between the proportion of Japanese within Filipino communities in the United States with a correlation coefficient (R) of 0.027. On average, for every 1% (one percent) increase in Filipinos within a typical geography, there is an increase of 0.003% in Japanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Filipinos corresponds to an increase of 3.1 Japanese.
Filipino Integration in Japanese Communities

Filipino vs Japanese Income

When considering income, the most significant differences between Filipino and Japanese communities in the United States are seen in per capita income ($59,066 compared to $39,870, a difference of 48.1%), median male earnings ($74,224 compared to $51,473, a difference of 44.2%), and median family income ($138,397 compared to $97,288, a difference of 42.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,740 compared to $52,365, a difference of 10.3%), wage/income gap (29.7% compared to 23.8%, a difference of 24.9%), and median female earnings ($49,508 compared to $38,528, a difference of 28.5%).
Filipino vs Japanese Income
Income MetricFilipinoJapanese
Per Capita Income
Exceptional
$59,066
Tragic
$39,870
Median Family Income
Exceptional
$138,397
Tragic
$97,288
Median Household Income
Exceptional
$115,509
Fair
$83,395
Median Earnings
Exceptional
$61,197
Tragic
$44,825
Median Male Earnings
Exceptional
$74,224
Tragic
$51,473
Median Female Earnings
Exceptional
$49,508
Tragic
$38,528
Householder Age | Under 25 years
Exceptional
$57,740
Good
$52,365
Householder Age | 25 - 44 years
Exceptional
$128,723
Poor
$91,624
Householder Age | 45 - 64 years
Exceptional
$134,910
Poor
$96,834
Householder Age | Over 65 years
Exceptional
$76,686
Tragic
$57,919
Wage/Income Gap
Tragic
29.7%
Exceptional
23.8%

Filipino vs Japanese Poverty

When considering poverty, the most significant differences between Filipino and Japanese communities in the United States are seen in receiving food stamps (7.4% compared to 14.1%, a difference of 90.6%), child poverty among boys under 16 (11.1% compared to 17.7%, a difference of 59.6%), and child poverty under the age of 16 (11.1% compared to 17.7%, a difference of 58.7%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.0% compared to 18.8%, a difference of 0.94%), single father poverty (14.0% compared to 15.2%, a difference of 8.6%), and seniors poverty over the age of 75 (11.4% compared to 13.3%, a difference of 16.7%).
Filipino vs Japanese Poverty
Poverty MetricFilipinoJapanese
Poverty
Exceptional
10.1%
Tragic
13.3%
Families
Exceptional
6.6%
Tragic
9.9%
Males
Exceptional
9.2%
Tragic
12.2%
Females
Exceptional
10.9%
Tragic
14.5%
Females 18 to 24 years
Exceptional
19.0%
Exceptional
18.8%
Females 25 to 34 years
Exceptional
10.2%
Poor
14.1%
Children Under 5 years
Exceptional
11.6%
Poor
18.1%
Children Under 16 years
Exceptional
11.1%
Tragic
17.7%
Boys Under 16 years
Exceptional
11.1%
Tragic
17.7%
Girls Under 16 years
Exceptional
11.4%
Tragic
17.8%
Single Males
Exceptional
10.6%
Poor
13.1%
Single Females
Exceptional
17.0%
Fair
21.3%
Single Fathers
Exceptional
14.0%
Exceptional
15.2%
Single Mothers
Exceptional
24.3%
Good
28.9%
Married Couples
Exceptional
4.0%
Tragic
5.6%
Seniors Over 65 years
Exceptional
9.7%
Tragic
12.2%
Seniors Over 75 years
Exceptional
11.4%
Tragic
13.3%
Receiving Food Stamps
Exceptional
7.4%
Tragic
14.1%

Filipino vs Japanese Unemployment

When considering unemployment, the most significant differences between Filipino and Japanese communities in the United States are seen in unemployment among ages 35 to 44 years (4.0% compared to 5.1%, a difference of 25.0%), unemployment among ages 30 to 34 years (4.8% compared to 5.9%, a difference of 22.4%), and male unemployment (4.7% compared to 5.8%, a difference of 21.9%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.1% compared to 10.0%, a difference of 0.39%), unemployment among seniors over 65 years (5.0% compared to 4.9%, a difference of 0.65%), and unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 1.1%).
Filipino vs Japanese Unemployment
Unemployment MetricFilipinoJapanese
Unemployment
Exceptional
4.8%
Tragic
5.6%
Males
Exceptional
4.7%
Tragic
5.8%
Females
Exceptional
5.0%
Tragic
5.6%
Youth < 25
Exceptional
11.1%
Fair
11.7%
Age | 16 to 19 years
Exceptional
15.9%
Average
17.6%
Age | 20 to 24 years
Exceptional
10.1%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
6.1%
Tragic
6.9%
Age | 30 to 34 years
Exceptional
4.8%
Tragic
5.9%
Age | 35 to 44 years
Exceptional
4.0%
Tragic
5.1%
Age | 45 to 54 years
Exceptional
4.2%
Tragic
4.7%
Age | 55 to 59 years
Exceptional
4.6%
Average
4.8%
Age | 60 to 64 years
Good
4.8%
Tragic
5.1%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.2%
Seniors > 65
Exceptional
5.0%
Exceptional
4.9%
Seniors > 75
Exceptional
7.9%
Exceptional
8.3%
Women w/ Children < 6
Exceptional
6.1%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
7.6%
Exceptional
8.4%
Women w/ Children < 18
Exceptional
4.8%
Tragic
5.7%

Filipino vs Japanese Labor Participation

When considering labor participation, the most significant differences between Filipino and Japanese communities in the United States are seen in in labor force | age 16-19 (31.7% compared to 37.5%, a difference of 18.5%), in labor force | age 20-24 (71.4% compared to 75.3%, a difference of 5.4%), and in labor force | age 45-54 (83.5% compared to 81.6%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.9% compared to 65.8%, a difference of 0.20%), in labor force | age 25-29 (84.9% compared to 84.3%, a difference of 0.73%), and in labor force | age 20-64 (80.1% compared to 79.1%, a difference of 1.3%).
Filipino vs Japanese Labor Participation
Labor Participation MetricFilipinoJapanese
In Labor Force | Age > 16
Exceptional
65.9%
Exceptional
65.8%
In Labor Force | Age 20-64
Exceptional
80.1%
Tragic
79.1%
In Labor Force | Age 16-19
Tragic
31.7%
Excellent
37.5%
In Labor Force | Age 20-24
Tragic
71.4%
Good
75.3%
In Labor Force | Age 25-29
Excellent
84.9%
Poor
84.3%
In Labor Force | Age 30-34
Exceptional
85.5%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
83.6%
In Labor Force | Age 45-54
Exceptional
83.5%
Tragic
81.6%

Filipino vs Japanese Family Structure

When considering family structure, the most significant differences between Filipino and Japanese communities in the United States are seen in single mother households (4.7% compared to 7.4%, a difference of 57.7%), births to unmarried women (23.0% compared to 35.2%, a difference of 53.0%), and single father households (1.8% compared to 2.8%, a difference of 52.7%). Conversely, both communities are more comparable in terms of family households (65.9% compared to 65.9%, a difference of 0.020%), family households with children (28.6% compared to 29.4%, a difference of 3.1%), and average family size (3.20 compared to 3.35, a difference of 4.6%).
Filipino vs Japanese Family Structure
Family Structure MetricFilipinoJapanese
Family Households
Exceptional
65.9%
Exceptional
65.9%
Family Households with Children
Exceptional
28.6%
Exceptional
29.4%
Married-couple Households
Exceptional
51.0%
Tragic
45.2%
Average Family Size
Poor
3.20
Exceptional
3.35
Single Father Households
Exceptional
1.8%
Tragic
2.8%
Single Mother Households
Exceptional
4.7%
Tragic
7.4%
Currently Married
Exceptional
49.7%
Tragic
44.5%
Divorced or Separated
Exceptional
9.9%
Good
12.0%
Births to Unmarried Women
Exceptional
23.0%
Tragic
35.2%

Filipino vs Japanese Vehicle Availability

When considering vehicle availability, the most significant differences between Filipino and Japanese communities in the United States are seen in 4 or more vehicles in household (6.9% compared to 7.7%, a difference of 11.2%), no vehicles in household (10.4% compared to 9.4%, a difference of 10.3%), and 3 or more vehicles in household (20.8% compared to 21.8%, a difference of 4.8%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.8% compared to 57.5%, a difference of 0.57%), 1 or more vehicles in household (89.7% compared to 90.6%, a difference of 1.0%), and 3 or more vehicles in household (20.8% compared to 21.8%, a difference of 4.8%).
Filipino vs Japanese Vehicle Availability
Vehicle Availability MetricFilipinoJapanese
No Vehicles Available
Average
10.4%
Exceptional
9.4%
1+ Vehicles Available
Average
89.7%
Exceptional
90.6%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
57.5%
3+ Vehicles Available
Exceptional
20.8%
Exceptional
21.8%
4+ Vehicles Available
Exceptional
6.9%
Exceptional
7.7%

Filipino vs Japanese Education Level

When considering education level, the most significant differences between Filipino and Japanese communities in the United States are seen in doctorate degree (3.4% compared to 1.5%, a difference of 126.2%), professional degree (7.6% compared to 3.5%, a difference of 113.1%), and master's degree (23.4% compared to 12.5%, a difference of 87.3%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 96.7%, a difference of 1.4%), kindergarten (98.0% compared to 96.7%, a difference of 1.4%), and 1st grade (98.0% compared to 96.6%, a difference of 1.5%).
Filipino vs Japanese Education Level
Education Level MetricFilipinoJapanese
No Schooling Completed
Excellent
2.0%
Tragic
3.3%
Nursery School
Good
98.1%
Tragic
96.7%
Kindergarten
Good
98.0%
Tragic
96.7%
1st Grade
Good
98.0%
Tragic
96.6%
2nd Grade
Good
98.0%
Tragic
96.5%
3rd Grade
Good
97.9%
Tragic
96.4%
4th Grade
Excellent
97.7%
Tragic
96.0%
5th Grade
Excellent
97.5%
Tragic
95.7%
6th Grade
Excellent
97.3%
Tragic
95.4%
7th Grade
Exceptional
96.4%
Tragic
94.0%
8th Grade
Exceptional
96.2%
Tragic
93.6%
9th Grade
Exceptional
95.6%
Tragic
92.6%
10th Grade
Exceptional
94.8%
Tragic
91.2%
11th Grade
Exceptional
94.1%
Tragic
89.9%
12th Grade, No Diploma
Exceptional
93.2%
Tragic
88.3%
High School Diploma
Exceptional
91.6%
Tragic
85.9%
GED/Equivalency
Exceptional
89.5%
Tragic
82.4%
College, Under 1 year
Exceptional
75.5%
Tragic
61.5%
College, 1 year or more
Exceptional
71.0%
Tragic
55.2%
Associate's Degree
Exceptional
59.8%
Tragic
41.7%
Bachelor's Degree
Exceptional
52.7%
Tragic
33.3%
Master's Degree
Exceptional
23.4%
Tragic
12.5%
Professional Degree
Exceptional
7.6%
Tragic
3.5%
Doctorate Degree
Exceptional
3.4%
Tragic
1.5%

Filipino vs Japanese Disability

When considering disability, the most significant differences between Filipino and Japanese communities in the United States are seen in disability age 35 to 64 (8.0% compared to 12.3%, a difference of 53.4%), vision disability (1.7% compared to 2.4%, a difference of 40.1%), and disability age 5 to 17 (4.3% compared to 6.1%, a difference of 39.5%). Conversely, both communities are more comparable in terms of disability age over 75 (45.4% compared to 50.2%, a difference of 10.6%), cognitive disability (16.4% compared to 18.3%, a difference of 11.4%), and disability age under 5 (1.1% compared to 1.2%, a difference of 11.9%).
Filipino vs Japanese Disability
Disability MetricFilipinoJapanese
Disability
Exceptional
9.6%
Tragic
12.2%
Males
Exceptional
9.1%
Tragic
11.7%
Females
Exceptional
10.1%
Tragic
12.6%
Age | Under 5 years
Exceptional
1.1%
Exceptional
1.2%
Age | 5 to 17 years
Exceptional
4.3%
Tragic
6.1%
Age | 18 to 34 years
Exceptional
5.4%
Poor
6.8%
Age | 35 to 64 years
Exceptional
8.0%
Tragic
12.3%
Age | 65 to 74 years
Exceptional
19.0%
Tragic
25.7%
Age | Over 75 years
Exceptional
45.4%
Tragic
50.2%
Vision
Exceptional
1.7%
Tragic
2.4%
Hearing
Exceptional
2.6%
Average
3.0%
Cognitive
Exceptional
16.4%
Tragic
18.3%
Ambulatory
Exceptional
4.9%
Poor
6.3%
Self-Care
Exceptional
2.2%
Tragic
2.7%