Indonesian vs Zimbabwean Community Comparison

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Indonesian
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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)InupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Indonesians

Zimbabweans

Fair
Exceptional
2,685
SOCIAL INDEX
24.4/ 100
SOCIAL RATING
247th/ 347
SOCIAL RANK
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK

Zimbabwean Integration in Indonesian Communities

The statistical analysis conducted on geographies consisting of 50,694,003 people shows a moderate positive correlation between the proportion of Zimbabweans within Indonesian communities in the United States with a correlation coefficient (R) of 0.427. On average, for every 1% (one percent) increase in Indonesians within a typical geography, there is an increase of 0.009% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indonesians corresponds to an increase of 8.7 Zimbabweans.
Indonesian Integration in Zimbabwean Communities

Indonesian vs Zimbabwean Income

When considering income, the most significant differences between Indonesian and Zimbabwean communities in the United States are seen in householder income ages 45 - 64 years ($84,890 compared to $106,849, a difference of 25.9%), median family income ($88,301 compared to $110,011, a difference of 24.6%), and median household income ($72,856 compared to $90,618, a difference of 24.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($45,566 compared to $51,259, a difference of 12.5%), median female earnings ($36,140 compared to $40,798, a difference of 12.9%), and median earnings ($41,701 compared to $48,229, a difference of 15.7%).
Indonesian vs Zimbabwean Income
Income MetricIndonesianZimbabwean
Per Capita Income
Tragic
$37,300
Exceptional
$45,804
Median Family Income
Tragic
$88,301
Exceptional
$110,011
Median Household Income
Tragic
$72,856
Exceptional
$90,618
Median Earnings
Tragic
$41,701
Exceptional
$48,229
Median Male Earnings
Tragic
$47,503
Excellent
$56,302
Median Female Earnings
Tragic
$36,140
Exceptional
$40,798
Householder Age | Under 25 years
Tragic
$45,566
Tragic
$51,259
Householder Age | 25 - 44 years
Tragic
$79,543
Exceptional
$98,586
Householder Age | 45 - 64 years
Tragic
$84,890
Exceptional
$106,849
Householder Age | Over 65 years
Tragic
$54,176
Exceptional
$65,854
Wage/Income Gap
Exceptional
22.7%
Fair
26.3%

Indonesian vs Zimbabwean Poverty

When considering poverty, the most significant differences between Indonesian and Zimbabwean communities in the United States are seen in married-couple family poverty (6.3% compared to 4.1%, a difference of 55.2%), child poverty under the age of 16 (21.0% compared to 14.2%, a difference of 48.0%), and child poverty among girls under 16 (21.3% compared to 14.4%, a difference of 47.9%). Conversely, both communities are more comparable in terms of single male poverty (14.1% compared to 13.1%, a difference of 7.7%), seniors poverty over the age of 75 (12.1% compared to 11.2%, a difference of 8.1%), and female poverty among 18-24 year olds (22.5% compared to 20.4%, a difference of 10.1%).
Indonesian vs Zimbabwean Poverty
Poverty MetricIndonesianZimbabwean
Poverty
Tragic
15.1%
Exceptional
11.3%
Families
Tragic
11.3%
Exceptional
7.8%
Males
Tragic
13.8%
Exceptional
10.2%
Females
Tragic
16.4%
Exceptional
12.3%
Females 18 to 24 years
Tragic
22.5%
Fair
20.4%
Females 25 to 34 years
Tragic
16.4%
Exceptional
11.7%
Children Under 5 years
Tragic
22.3%
Exceptional
15.2%
Children Under 16 years
Tragic
21.0%
Exceptional
14.2%
Boys Under 16 years
Tragic
20.8%
Exceptional
14.3%
Girls Under 16 years
Tragic
21.3%
Exceptional
14.4%
Single Males
Tragic
14.1%
Poor
13.1%
Single Females
Tragic
24.3%
Exceptional
19.5%
Single Fathers
Tragic
17.4%
Exceptional
15.6%
Single Mothers
Tragic
32.4%
Exceptional
27.9%
Married Couples
Tragic
6.3%
Exceptional
4.1%
Seniors Over 65 years
Poor
11.5%
Exceptional
9.6%
Seniors Over 75 years
Good
12.1%
Exceptional
11.2%
Receiving Food Stamps
Tragic
13.9%
Exceptional
9.5%

Indonesian vs Zimbabwean Unemployment

When considering unemployment, the most significant differences between Indonesian and Zimbabwean communities in the United States are seen in unemployment among ages 65 to 74 years (4.7% compared to 5.9%, a difference of 26.6%), unemployment among seniors over 65 years (4.5% compared to 5.6%, a difference of 22.3%), and unemployment among women with children ages 6 to 17 years (7.4% compared to 8.6%, a difference of 16.7%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (15.5% compared to 15.4%, a difference of 0.42%), unemployment among ages 55 to 59 years (4.3% compared to 4.2%, a difference of 2.2%), and unemployment among ages 20 to 24 years (9.0% compared to 9.2%, a difference of 2.5%).
Indonesian vs Zimbabwean Unemployment
Unemployment MetricIndonesianZimbabwean
Unemployment
Excellent
5.1%
Exceptional
4.8%
Males
Good
5.2%
Exceptional
4.8%
Females
Exceptional
5.0%
Exceptional
4.8%
Youth < 25
Exceptional
10.6%
Exceptional
10.2%
Age | 16 to 19 years
Exceptional
15.5%
Exceptional
15.4%
Age | 20 to 24 years
Exceptional
9.0%
Exceptional
9.2%
Age | 25 to 29 years
Exceptional
6.1%
Exceptional
6.4%
Age | 30 to 34 years
Exceptional
5.2%
Exceptional
4.8%
Age | 35 to 44 years
Average
4.7%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.4%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.3%
Exceptional
4.2%
Age | 60 to 64 years
Exceptional
4.2%
Exceptional
4.5%
Age | 65 to 74 years
Exceptional
4.7%
Tragic
5.9%
Seniors > 65
Exceptional
4.5%
Tragic
5.6%
Seniors > 75
Exceptional
7.9%
Average
8.7%
Women w/ Children < 6
Average
7.7%
Exceptional
7.3%
Women w/ Children 6 to 17
Exceptional
7.4%
Exceptional
8.6%
Women w/ Children < 18
Fair
5.5%
Exceptional
5.1%

Indonesian vs Zimbabwean Labor Participation

When considering labor participation, the most significant differences between Indonesian and Zimbabwean communities in the United States are seen in in labor force | age 16-19 (40.7% compared to 38.7%, a difference of 5.1%), in labor force | age 45-54 (81.5% compared to 84.0%, a difference of 3.1%), and in labor force | age 35-44 (83.7% compared to 86.1%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.5%, a difference of 0.22%), in labor force | age > 16 (66.3% compared to 67.3%, a difference of 1.5%), and in labor force | age 30-34 (84.3% compared to 85.6%, a difference of 1.5%).
Indonesian vs Zimbabwean Labor Participation
Labor Participation MetricIndonesianZimbabwean
In Labor Force | Age > 16
Exceptional
66.3%
Exceptional
67.3%
In Labor Force | Age 20-64
Fair
79.4%
Exceptional
81.0%
In Labor Force | Age 16-19
Exceptional
40.7%
Exceptional
38.7%
In Labor Force | Age 20-24
Exceptional
77.2%
Excellent
75.6%
In Labor Force | Age 25-29
Average
84.7%
Fair
84.5%
In Labor Force | Age 30-34
Tragic
84.3%
Exceptional
85.6%
In Labor Force | Age 35-44
Tragic
83.7%
Exceptional
86.1%
In Labor Force | Age 45-54
Tragic
81.5%
Exceptional
84.0%

Indonesian vs Zimbabwean Family Structure

When considering family structure, the most significant differences between Indonesian and Zimbabwean communities in the United States are seen in single mother households (7.5% compared to 6.1%, a difference of 23.4%), births to unmarried women (35.0% compared to 28.7%, a difference of 22.0%), and single father households (2.6% compared to 2.2%, a difference of 16.0%). Conversely, both communities are more comparable in terms of family households with children (28.1% compared to 27.9%, a difference of 0.73%), average family size (3.28 compared to 3.20, a difference of 2.4%), and family households (61.5% compared to 64.1%, a difference of 4.2%).
Indonesian vs Zimbabwean Family Structure
Family Structure MetricIndonesianZimbabwean
Family Households
Tragic
61.5%
Fair
64.1%
Family Households with Children
Exceptional
28.1%
Exceptional
27.9%
Married-couple Households
Tragic
42.0%
Excellent
47.4%
Average Family Size
Exceptional
3.28
Poor
3.20
Single Father Households
Tragic
2.6%
Exceptional
2.2%
Single Mother Households
Tragic
7.5%
Excellent
6.1%
Currently Married
Tragic
43.5%
Good
47.0%
Divorced or Separated
Tragic
12.6%
Exceptional
11.6%
Births to Unmarried Women
Tragic
35.0%
Exceptional
28.7%

Indonesian vs Zimbabwean Vehicle Availability

When considering vehicle availability, the most significant differences between Indonesian and Zimbabwean communities in the United States are seen in no vehicles in household (10.3% compared to 9.0%, a difference of 14.1%), 3 or more vehicles in household (18.3% compared to 20.3%, a difference of 10.8%), and 4 or more vehicles in household (6.0% compared to 6.4%, a difference of 8.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.7% compared to 91.0%, a difference of 1.4%), 2 or more vehicles in household (53.4% compared to 57.2%, a difference of 7.2%), and 4 or more vehicles in household (6.0% compared to 6.4%, a difference of 8.2%).
Indonesian vs Zimbabwean Vehicle Availability
Vehicle Availability MetricIndonesianZimbabwean
No Vehicles Available
Average
10.3%
Exceptional
9.0%
1+ Vehicles Available
Average
89.7%
Exceptional
91.0%
2+ Vehicles Available
Tragic
53.4%
Exceptional
57.2%
3+ Vehicles Available
Tragic
18.3%
Excellent
20.3%
4+ Vehicles Available
Tragic
6.0%
Good
6.4%

Indonesian vs Zimbabwean Education Level

When considering education level, the most significant differences between Indonesian and Zimbabwean communities in the United States are seen in no schooling completed (3.2% compared to 1.7%, a difference of 85.7%), doctorate degree (1.6% compared to 2.3%, a difference of 42.0%), and professional degree (3.7% compared to 5.2%, a difference of 41.6%). Conversely, both communities are more comparable in terms of 2nd grade (96.7% compared to 98.2%, a difference of 1.5%), nursery school (96.8% compared to 98.3%, a difference of 1.5%), and kindergarten (96.8% compared to 98.3%, a difference of 1.6%).
Indonesian vs Zimbabwean Education Level
Education Level MetricIndonesianZimbabwean
No Schooling Completed
Tragic
3.2%
Exceptional
1.7%
Nursery School
Tragic
96.8%
Exceptional
98.3%
Kindergarten
Tragic
96.8%
Exceptional
98.3%
1st Grade
Tragic
96.7%
Exceptional
98.3%
2nd Grade
Tragic
96.7%
Exceptional
98.2%
3rd Grade
Tragic
96.5%
Exceptional
98.1%
4th Grade
Tragic
96.2%
Exceptional
97.9%
5th Grade
Tragic
96.0%
Exceptional
97.8%
6th Grade
Tragic
95.6%
Exceptional
97.6%
7th Grade
Tragic
94.5%
Exceptional
96.8%
8th Grade
Tragic
94.1%
Exceptional
96.5%
9th Grade
Tragic
93.1%
Exceptional
95.9%
10th Grade
Tragic
91.8%
Exceptional
94.9%
11th Grade
Tragic
90.3%
Exceptional
93.9%
12th Grade, No Diploma
Tragic
88.6%
Exceptional
92.7%
High School Diploma
Tragic
86.5%
Exceptional
91.1%
GED/Equivalency
Tragic
82.5%
Exceptional
88.0%
College, Under 1 year
Tragic
61.2%
Exceptional
69.9%
College, 1 year or more
Tragic
55.1%
Exceptional
64.2%
Associate's Degree
Tragic
41.9%
Exceptional
51.3%
Bachelor's Degree
Tragic
33.5%
Exceptional
43.3%
Master's Degree
Tragic
12.6%
Exceptional
17.7%
Professional Degree
Tragic
3.7%
Exceptional
5.2%
Doctorate Degree
Tragic
1.6%
Exceptional
2.3%

Indonesian vs Zimbabwean Disability

When considering disability, the most significant differences between Indonesian and Zimbabwean communities in the United States are seen in disability age 35 to 64 (13.2% compared to 10.4%, a difference of 26.6%), ambulatory disability (6.3% compared to 5.4%, a difference of 16.7%), and disability age 65 to 74 (24.9% compared to 21.5%, a difference of 15.4%). Conversely, both communities are more comparable in terms of disability age over 75 (48.2% compared to 48.1%, a difference of 0.24%), disability age under 5 (1.2% compared to 1.2%, a difference of 2.2%), and hearing disability (3.0% compared to 2.8%, a difference of 5.4%).
Indonesian vs Zimbabwean Disability
Disability MetricIndonesianZimbabwean
Disability
Tragic
12.2%
Exceptional
10.9%
Males
Tragic
11.6%
Exceptional
10.6%
Females
Tragic
12.8%
Exceptional
11.3%
Age | Under 5 years
Exceptional
1.2%
Exceptional
1.2%
Age | 5 to 17 years
Tragic
5.9%
Good
5.5%
Age | 18 to 34 years
Tragic
7.2%
Good
6.5%
Age | 35 to 64 years
Tragic
13.2%
Exceptional
10.4%
Age | 65 to 74 years
Tragic
24.9%
Exceptional
21.5%
Age | Over 75 years
Tragic
48.2%
Tragic
48.1%
Vision
Tragic
2.2%
Exceptional
2.0%
Hearing
Average
3.0%
Excellent
2.8%
Cognitive
Tragic
18.7%
Tragic
17.6%
Ambulatory
Tragic
6.3%
Exceptional
5.4%
Self-Care
Average
2.5%
Exceptional
2.2%