Immigrants from Congo vs Yakama Community Comparison

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Immigrants from Congo
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican 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 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 GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Yakama
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 AmericaChileChinaColombiaCosta 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

Immigrants from Congo

Yakama

Fair
Poor
2,417
SOCIAL INDEX
21.7/ 100
SOCIAL RATING
260th/ 347
SOCIAL RANK
1,331
SOCIAL INDEX
10.9/ 100
SOCIAL RATING
315th/ 347
SOCIAL RANK

Yakama Integration in Immigrants from Congo Communities

The statistical analysis conducted on geographies consisting of 8,044,752 people shows a slight negative correlation between the proportion of Yakama within Immigrant from Congo communities in the United States with a correlation coefficient (R) of -0.054. On average, for every 1% (one percent) increase in Immigrants from Congo within a typical geography, there is a decrease of 0.104% in Yakama. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Congo corresponds to a decrease of 104.0 Yakama.
Immigrants from Congo Integration in Yakama Communities

Immigrants from Congo vs Yakama Income

When considering income, the most significant differences between Immigrants from Congo and Yakama communities in the United States are seen in householder income under 25 years ($43,266 compared to $54,321, a difference of 25.6%), householder income ages 45 - 64 years ($77,850 compared to $86,992, a difference of 11.7%), and wage/income gap (21.7% compared to 23.7%, a difference of 9.5%). Conversely, both communities are more comparable in terms of median earnings ($39,169 compared to $39,107, a difference of 0.16%), median male earnings ($44,204 compared to $45,002, a difference of 1.8%), and median family income ($82,216 compared to $83,932, a difference of 2.1%).
Immigrants from Congo vs Yakama Income
Income MetricImmigrants from CongoYakama
Per Capita Income
Tragic
$35,720
Tragic
$33,009
Median Family Income
Tragic
$82,216
Tragic
$83,932
Median Household Income
Tragic
$66,768
Tragic
$72,225
Median Earnings
Tragic
$39,169
Tragic
$39,107
Median Male Earnings
Tragic
$44,204
Tragic
$45,002
Median Female Earnings
Tragic
$34,317
Tragic
$33,354
Householder Age | Under 25 years
Tragic
$43,266
Exceptional
$54,321
Householder Age | 25 - 44 years
Tragic
$72,178
Tragic
$76,226
Householder Age | 45 - 64 years
Tragic
$77,850
Tragic
$86,992
Householder Age | Over 65 years
Tragic
$51,393
Tragic
$56,234
Wage/Income Gap
Exceptional
21.7%
Exceptional
23.7%

Immigrants from Congo vs Yakama Poverty

When considering poverty, the most significant differences between Immigrants from Congo and Yakama communities in the United States are seen in receiving food stamps (14.1% compared to 21.4%, a difference of 51.4%), seniors poverty over the age of 75 (12.5% compared to 18.3%, a difference of 46.8%), and married-couple family poverty (6.1% compared to 9.0%, a difference of 45.9%). Conversely, both communities are more comparable in terms of child poverty among girls under 16 (22.7% compared to 22.6%, a difference of 0.80%), child poverty under the age of 16 (22.5% compared to 22.1%, a difference of 2.1%), and child poverty among boys under 16 (22.4% compared to 21.7%, a difference of 3.0%).
Immigrants from Congo vs Yakama Poverty
Poverty MetricImmigrants from CongoYakama
Poverty
Tragic
16.1%
Tragic
16.7%
Families
Tragic
11.9%
Tragic
13.1%
Males
Tragic
14.7%
Tragic
15.3%
Females
Tragic
17.4%
Tragic
18.0%
Females 18 to 24 years
Tragic
24.6%
Tragic
25.3%
Females 25 to 34 years
Tragic
16.7%
Tragic
17.6%
Children Under 5 years
Tragic
23.9%
Tragic
23.1%
Children Under 16 years
Tragic
22.5%
Tragic
22.1%
Boys Under 16 years
Tragic
22.4%
Tragic
21.7%
Girls Under 16 years
Tragic
22.7%
Tragic
22.6%
Single Males
Tragic
13.9%
Tragic
15.9%
Single Females
Tragic
25.3%
Tragic
28.3%
Single Fathers
Exceptional
15.4%
Tragic
18.1%
Single Mothers
Tragic
33.8%
Tragic
36.4%
Married Couples
Tragic
6.1%
Tragic
9.0%
Seniors Over 65 years
Tragic
11.7%
Tragic
14.8%
Seniors Over 75 years
Fair
12.5%
Tragic
18.3%
Receiving Food Stamps
Tragic
14.1%
Tragic
21.4%

Immigrants from Congo vs Yakama Unemployment

When considering unemployment, the most significant differences between Immigrants from Congo and Yakama communities in the United States are seen in unemployment among seniors over 75 years (6.7% compared to 18.4%, a difference of 173.6%), unemployment among ages 55 to 59 years (4.3% compared to 8.9%, a difference of 107.5%), and unemployment among ages 30 to 34 years (5.1% compared to 9.8%, a difference of 92.5%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.0% compared to 9.9%, a difference of 9.4%), unemployment among ages 35 to 44 years (4.7% compared to 5.6%, a difference of 18.8%), and female unemployment (5.3% compared to 6.7%, a difference of 27.4%).
Immigrants from Congo vs Yakama Unemployment
Unemployment MetricImmigrants from CongoYakama
Unemployment
Average
5.3%
Tragic
7.3%
Males
Average
5.3%
Tragic
7.9%
Females
Average
5.3%
Tragic
6.7%
Youth < 25
Exceptional
10.9%
Tragic
15.6%
Age | 16 to 19 years
Exceptional
16.3%
Tragic
22.5%
Age | 20 to 24 years
Exceptional
9.2%
Tragic
13.1%
Age | 25 to 29 years
Exceptional
6.4%
Tragic
8.8%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
9.8%
Age | 35 to 44 years
Fair
4.7%
Tragic
5.6%
Age | 45 to 54 years
Excellent
4.4%
Tragic
5.7%
Age | 55 to 59 years
Exceptional
4.3%
Tragic
8.9%
Age | 60 to 64 years
Exceptional
4.1%
Tragic
6.0%
Age | 65 to 74 years
Exceptional
4.7%
Tragic
6.6%
Seniors > 65
Exceptional
4.5%
Tragic
6.7%
Seniors > 75
Exceptional
6.7%
Tragic
18.4%
Women w/ Children < 6
Tragic
8.5%
Exceptional
6.6%
Women w/ Children 6 to 17
Fair
9.0%
Tragic
9.9%
Women w/ Children < 18
Tragic
6.0%
Tragic
8.1%

Immigrants from Congo vs Yakama Labor Participation

When considering labor participation, the most significant differences between Immigrants from Congo and Yakama communities in the United States are seen in in labor force | age 16-19 (41.7% compared to 36.9%, a difference of 13.0%), in labor force | age > 16 (67.1% compared to 62.1%, a difference of 8.0%), and in labor force | age 30-34 (84.6% compared to 79.1%, a difference of 6.9%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.6% compared to 80.6%, a difference of 1.2%), in labor force | age 20-24 (77.4% compared to 75.1%, a difference of 3.1%), and in labor force | age 25-29 (84.2% compared to 80.6%, a difference of 4.5%).
Immigrants from Congo vs Yakama Labor Participation
Labor Participation MetricImmigrants from CongoYakama
In Labor Force | Age > 16
Exceptional
67.1%
Tragic
62.1%
In Labor Force | Age 20-64
Poor
79.3%
Tragic
75.8%
In Labor Force | Age 16-19
Exceptional
41.7%
Good
36.9%
In Labor Force | Age 20-24
Exceptional
77.4%
Average
75.1%
In Labor Force | Age 25-29
Tragic
84.2%
Tragic
80.6%
In Labor Force | Age 30-34
Fair
84.6%
Tragic
79.1%
In Labor Force | Age 35-44
Tragic
83.5%
Tragic
79.0%
In Labor Force | Age 45-54
Tragic
81.6%
Tragic
80.6%

Immigrants from Congo vs Yakama Family Structure

When considering family structure, the most significant differences between Immigrants from Congo and Yakama communities in the United States are seen in single father households (2.5% compared to 4.2%, a difference of 65.6%), family households (59.2% compared to 69.3%, a difference of 17.0%), and married-couple households (39.0% compared to 45.2%, a difference of 15.9%). Conversely, both communities are more comparable in terms of single mother households (8.1% compared to 8.4%, a difference of 3.6%), average family size (3.23 compared to 3.45, a difference of 6.7%), and currently married (41.1% compared to 44.0%, a difference of 7.2%).
Immigrants from Congo vs Yakama Family Structure
Family Structure MetricImmigrants from CongoYakama
Family Households
Tragic
59.2%
Exceptional
69.3%
Family Households with Children
Fair
27.3%
Exceptional
30.8%
Married-couple Households
Tragic
39.0%
Tragic
45.2%
Average Family Size
Average
3.23
Exceptional
3.45
Single Father Households
Tragic
2.5%
Tragic
4.2%
Single Mother Households
Tragic
8.1%
Tragic
8.4%
Currently Married
Tragic
41.1%
Tragic
44.0%
Divorced or Separated
Tragic
13.5%
Tragic
12.3%
Births to Unmarried Women
Tragic
36.8%
Tragic
40.3%

Immigrants from Congo vs Yakama Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Congo and Yakama communities in the United States are seen in 4 or more vehicles in household (5.2% compared to 12.9%, a difference of 146.4%), 3 or more vehicles in household (17.0% compared to 31.0%, a difference of 82.6%), and no vehicles in household (10.1% compared to 6.6%, a difference of 52.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 93.6%, a difference of 3.9%), 2 or more vehicles in household (52.1% compared to 64.9%, a difference of 24.6%), and no vehicles in household (10.1% compared to 6.6%, a difference of 52.1%).
Immigrants from Congo vs Yakama Vehicle Availability
Vehicle Availability MetricImmigrants from CongoYakama
No Vehicles Available
Good
10.1%
Exceptional
6.6%
1+ Vehicles Available
Good
90.0%
Exceptional
93.6%
2+ Vehicles Available
Tragic
52.1%
Exceptional
64.9%
3+ Vehicles Available
Tragic
17.0%
Exceptional
31.0%
4+ Vehicles Available
Tragic
5.2%
Exceptional
12.9%

Immigrants from Congo vs Yakama Education Level

When considering education level, the most significant differences between Immigrants from Congo and Yakama communities in the United States are seen in no schooling completed (2.4% compared to 3.6%, a difference of 48.6%), bachelor's degree (33.6% compared to 24.5%, a difference of 37.3%), and master's degree (12.6% compared to 9.5%, a difference of 33.6%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 96.6%, a difference of 1.0%), kindergarten (97.6% compared to 96.6%, a difference of 1.0%), and 1st grade (97.5% compared to 96.5%, a difference of 1.1%).
Immigrants from Congo vs Yakama Education Level
Education Level MetricImmigrants from CongoYakama
No Schooling Completed
Tragic
2.4%
Tragic
3.6%
Nursery School
Tragic
97.6%
Tragic
96.6%
Kindergarten
Tragic
97.6%
Tragic
96.6%
1st Grade
Tragic
97.5%
Tragic
96.5%
2nd Grade
Tragic
97.5%
Tragic
96.4%
3rd Grade
Tragic
97.3%
Tragic
95.9%
4th Grade
Tragic
97.0%
Tragic
95.2%
5th Grade
Tragic
96.8%
Tragic
94.8%
6th Grade
Tragic
96.5%
Tragic
94.3%
7th Grade
Tragic
95.3%
Tragic
91.7%
8th Grade
Tragic
94.9%
Tragic
91.2%
9th Grade
Tragic
93.9%
Tragic
90.1%
10th Grade
Tragic
92.4%
Tragic
86.9%
11th Grade
Tragic
90.9%
Tragic
85.0%
12th Grade, No Diploma
Tragic
89.0%
Tragic
82.5%
High School Diploma
Tragic
87.0%
Tragic
80.0%
GED/Equivalency
Tragic
83.1%
Tragic
74.5%
College, Under 1 year
Tragic
61.7%
Tragic
52.6%
College, 1 year or more
Tragic
55.6%
Tragic
46.2%
Associate's Degree
Tragic
41.8%
Tragic
32.3%
Bachelor's Degree
Tragic
33.6%
Tragic
24.5%
Master's Degree
Tragic
12.6%
Tragic
9.5%
Professional Degree
Tragic
3.6%
Tragic
3.1%
Doctorate Degree
Tragic
1.6%
Tragic
1.3%

Immigrants from Congo vs Yakama Disability

When considering disability, the most significant differences between Immigrants from Congo and Yakama communities in the United States are seen in hearing disability (2.9% compared to 3.9%, a difference of 36.0%), disability age 18 to 34 (7.1% compared to 9.0%, a difference of 26.2%), and male disability (11.7% compared to 13.5%, a difference of 15.5%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (6.2% compared to 6.3%, a difference of 1.6%), disability age 35 to 64 (13.3% compared to 13.6%, a difference of 1.8%), and female disability (12.7% compared to 13.2%, a difference of 4.6%).
Immigrants from Congo vs Yakama Disability
Disability MetricImmigrants from CongoYakama
Disability
Tragic
12.2%
Tragic
13.4%
Males
Tragic
11.7%
Tragic
13.5%
Females
Tragic
12.7%
Tragic
13.2%
Age | Under 5 years
Exceptional
1.1%
Exceptional
1.00%
Age | 5 to 17 years
Tragic
6.2%
Tragic
6.3%
Age | 18 to 34 years
Tragic
7.1%
Tragic
9.0%
Age | 35 to 64 years
Tragic
13.3%
Tragic
13.6%
Age | 65 to 74 years
Tragic
26.0%
Tragic
29.6%
Age | Over 75 years
Tragic
48.7%
Tragic
51.3%
Vision
Tragic
2.3%
Tragic
2.5%
Hearing
Good
2.9%
Tragic
3.9%
Cognitive
Tragic
19.7%
Tragic
18.1%
Ambulatory
Poor
6.2%
Tragic
6.8%
Self-Care
Exceptional
2.4%
Tragic
2.7%