Latvian vs Chinese Community Comparison

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Latvian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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 IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'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 TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Chinese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Latvians

Chinese

Exceptional
Exceptional
9,576
SOCIAL INDEX
93.2/ 100
SOCIAL RATING
12th/ 347
SOCIAL RANK
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK

Chinese Integration in Latvian Communities

The statistical analysis conducted on geographies consisting of 50,426,466 people shows a weak positive correlation between the proportion of Chinese within Latvian communities in the United States with a correlation coefficient (R) of 0.219. On average, for every 1% (one percent) increase in Latvians within a typical geography, there is an increase of 0.028% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Latvians corresponds to an increase of 27.9 Chinese.
Latvian Integration in Chinese Communities

Latvian vs Chinese Income

When considering income, the most significant differences between Latvian and Chinese communities in the United States are seen in householder income over 65 years ($67,326 compared to $77,465, a difference of 15.1%), per capita income ($52,649 compared to $46,098, a difference of 14.2%), and median male earnings ($63,498 compared to $56,872, a difference of 11.7%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($115,957 compared to $116,156, a difference of 0.17%), median household income ($97,311 compared to $98,496, a difference of 1.2%), and median family income ($120,301 compared to $116,188, a difference of 3.5%).
Latvian vs Chinese Income
Income MetricLatvianChinese
Per Capita Income
Exceptional
$52,649
Exceptional
$46,098
Median Family Income
Exceptional
$120,301
Exceptional
$116,188
Median Household Income
Exceptional
$97,311
Exceptional
$98,496
Median Earnings
Exceptional
$53,001
Exceptional
$48,836
Median Male Earnings
Exceptional
$63,498
Exceptional
$56,872
Median Female Earnings
Exceptional
$43,941
Exceptional
$41,461
Householder Age | Under 25 years
Excellent
$52,783
Exceptional
$58,162
Householder Age | 25 - 44 years
Exceptional
$108,926
Exceptional
$104,264
Householder Age | 45 - 64 years
Exceptional
$115,957
Exceptional
$116,156
Householder Age | Over 65 years
Exceptional
$67,326
Exceptional
$77,465
Wage/Income Gap
Tragic
27.9%
Average
25.9%

Latvian vs Chinese Poverty

When considering poverty, the most significant differences between Latvian and Chinese communities in the United States are seen in female poverty among 18-24 year olds (19.5% compared to 16.2%, a difference of 20.5%), seniors poverty over the age of 75 (10.8% compared to 9.1%, a difference of 19.3%), and single female poverty (19.0% compared to 16.1%, a difference of 17.6%). Conversely, both communities are more comparable in terms of single father poverty (16.5% compared to 15.4%, a difference of 6.8%), married-couple family poverty (3.9% compared to 3.6%, a difference of 6.9%), and receiving food stamps (9.1% compared to 9.8%, a difference of 7.1%).
Latvian vs Chinese Poverty
Poverty MetricLatvianChinese
Poverty
Exceptional
10.5%
Exceptional
9.5%
Families
Exceptional
7.1%
Exceptional
6.5%
Males
Exceptional
9.6%
Exceptional
8.7%
Females
Exceptional
11.4%
Exceptional
10.4%
Females 18 to 24 years
Exceptional
19.5%
Exceptional
16.2%
Females 25 to 34 years
Exceptional
11.8%
Exceptional
11.0%
Children Under 5 years
Exceptional
14.5%
Exceptional
13.1%
Children Under 16 years
Exceptional
13.2%
Exceptional
11.9%
Boys Under 16 years
Exceptional
13.4%
Exceptional
11.9%
Girls Under 16 years
Exceptional
13.5%
Exceptional
12.3%
Single Males
Good
12.7%
Exceptional
11.0%
Single Females
Exceptional
19.0%
Exceptional
16.1%
Single Fathers
Fair
16.5%
Exceptional
15.4%
Single Mothers
Exceptional
26.9%
Exceptional
24.6%
Married Couples
Exceptional
3.9%
Exceptional
3.6%
Seniors Over 65 years
Exceptional
9.5%
Exceptional
8.3%
Seniors Over 75 years
Exceptional
10.8%
Exceptional
9.1%
Receiving Food Stamps
Exceptional
9.1%
Exceptional
9.8%

Latvian vs Chinese Unemployment

When considering unemployment, the most significant differences between Latvian and Chinese communities in the United States are seen in unemployment among seniors over 75 years (8.6% compared to 5.9%, a difference of 45.2%), unemployment among ages 60 to 64 years (4.8% compared to 4.0%, a difference of 20.0%), and unemployment among seniors over 65 years (4.9% compared to 4.2%, a difference of 17.2%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (6.8% compared to 6.8%, a difference of 0.47%), unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 1.1%), and unemployment (4.7% compared to 4.7%, a difference of 1.3%).
Latvian vs Chinese Unemployment
Unemployment MetricLatvianChinese
Unemployment
Exceptional
4.7%
Exceptional
4.7%
Males
Exceptional
4.8%
Exceptional
4.9%
Females
Exceptional
4.7%
Exceptional
4.5%
Youth < 25
Exceptional
11.0%
Exceptional
10.7%
Age | 16 to 19 years
Exceptional
16.7%
Exceptional
16.0%
Age | 20 to 24 years
Exceptional
9.9%
Exceptional
9.4%
Age | 25 to 29 years
Exceptional
6.2%
Exceptional
6.1%
Age | 30 to 34 years
Exceptional
5.0%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.2%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.0%
Age | 55 to 59 years
Exceptional
4.6%
Exceptional
4.4%
Age | 60 to 64 years
Good
4.8%
Exceptional
4.0%
Age | 65 to 74 years
Exceptional
5.1%
Exceptional
4.4%
Seniors > 65
Exceptional
4.9%
Exceptional
4.2%
Seniors > 75
Excellent
8.6%
Exceptional
5.9%
Women w/ Children < 6
Exceptional
6.8%
Exceptional
6.8%
Women w/ Children 6 to 17
Exceptional
8.6%
Tragic
9.3%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
4.9%

Latvian vs Chinese Labor Participation

When considering labor participation, the most significant differences between Latvian and Chinese communities in the United States are seen in in labor force | age 25-29 (86.1% compared to 84.3%, a difference of 2.1%), in labor force | age 20-24 (76.1% compared to 77.3%, a difference of 1.6%), and in labor force | age > 16 (65.5% compared to 64.7%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.5% compared to 80.7%, a difference of 0.19%), in labor force | age 35-44 (85.4% compared to 85.1%, a difference of 0.35%), and in labor force | age 45-54 (83.8% compared to 84.1%, a difference of 0.42%).
Latvian vs Chinese Labor Participation
Labor Participation MetricLatvianChinese
In Labor Force | Age > 16
Excellent
65.5%
Tragic
64.7%
In Labor Force | Age 20-64
Exceptional
80.5%
Exceptional
80.7%
In Labor Force | Age 16-19
Exceptional
38.9%
Exceptional
38.6%
In Labor Force | Age 20-24
Exceptional
76.1%
Exceptional
77.3%
In Labor Force | Age 25-29
Exceptional
86.1%
Poor
84.3%
In Labor Force | Age 30-34
Exceptional
86.0%
Excellent
85.0%
In Labor Force | Age 35-44
Exceptional
85.4%
Exceptional
85.1%
In Labor Force | Age 45-54
Exceptional
83.8%
Exceptional
84.1%

Latvian vs Chinese Family Structure

When considering family structure, the most significant differences between Latvian and Chinese communities in the United States are seen in births to unmarried women (27.7% compared to 30.2%, a difference of 9.1%), family households (62.8% compared to 68.1%, a difference of 8.6%), and average family size (3.11 compared to 3.34, a difference of 7.6%). Conversely, both communities are more comparable in terms of family households with children (26.4% compared to 26.0%, a difference of 1.7%), single father households (2.0% compared to 2.0%, a difference of 1.7%), and currently married (48.5% compared to 49.5%, a difference of 2.1%).
Latvian vs Chinese Family Structure
Family Structure MetricLatvianChinese
Family Households
Tragic
62.8%
Exceptional
68.1%
Family Households with Children
Tragic
26.4%
Tragic
26.0%
Married-couple Households
Exceptional
47.9%
Exceptional
50.4%
Average Family Size
Tragic
3.11
Exceptional
3.34
Single Father Households
Exceptional
2.0%
Exceptional
2.0%
Single Mother Households
Exceptional
5.3%
Exceptional
5.2%
Currently Married
Exceptional
48.5%
Exceptional
49.5%
Divorced or Separated
Exceptional
11.6%
Exceptional
11.2%
Births to Unmarried Women
Exceptional
27.7%
Excellent
30.2%

Latvian vs Chinese Vehicle Availability

When considering vehicle availability, the most significant differences between Latvian and Chinese communities in the United States are seen in 4 or more vehicles in household (6.1% compared to 8.8%, a difference of 44.6%), 3 or more vehicles in household (19.3% compared to 23.9%, a difference of 23.8%), and no vehicles in household (9.8% compared to 8.2%, a difference of 19.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 91.9%, a difference of 1.7%), 2 or more vehicles in household (56.2% compared to 60.1%, a difference of 6.9%), and no vehicles in household (9.8% compared to 8.2%, a difference of 19.1%).
Latvian vs Chinese Vehicle Availability
Vehicle Availability MetricLatvianChinese
No Vehicles Available
Excellent
9.8%
Exceptional
8.2%
1+ Vehicles Available
Excellent
90.3%
Exceptional
91.9%
2+ Vehicles Available
Excellent
56.2%
Exceptional
60.1%
3+ Vehicles Available
Fair
19.3%
Exceptional
23.9%
4+ Vehicles Available
Fair
6.1%
Exceptional
8.8%

Latvian vs Chinese Education Level

When considering education level, the most significant differences between Latvian and Chinese communities in the United States are seen in doctorate degree (2.6% compared to 1.8%, a difference of 46.0%), professional degree (6.2% compared to 4.5%, a difference of 39.9%), and master's degree (19.8% compared to 14.6%, a difference of 36.0%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (93.6% compared to 93.6%, a difference of 0.010%), high school diploma (92.0% compared to 92.0%, a difference of 0.010%), and 10th grade (95.6% compared to 95.5%, a difference of 0.030%).
Latvian vs Chinese Education Level
Education Level MetricLatvianChinese
No Schooling Completed
Exceptional
1.5%
Exceptional
1.5%
Nursery School
Exceptional
98.5%
Exceptional
98.6%
Kindergarten
Exceptional
98.5%
Exceptional
98.5%
1st Grade
Exceptional
98.5%
Exceptional
98.5%
2nd Grade
Exceptional
98.4%
Exceptional
98.5%
3rd Grade
Exceptional
98.4%
Exceptional
98.4%
4th Grade
Exceptional
98.2%
Exceptional
98.3%
5th Grade
Exceptional
98.1%
Exceptional
98.1%
6th Grade
Exceptional
97.9%
Exceptional
97.9%
7th Grade
Exceptional
97.2%
Exceptional
97.1%
8th Grade
Exceptional
97.0%
Exceptional
96.9%
9th Grade
Exceptional
96.4%
Exceptional
96.3%
10th Grade
Exceptional
95.6%
Exceptional
95.5%
11th Grade
Exceptional
94.7%
Exceptional
94.6%
12th Grade, No Diploma
Exceptional
93.6%
Exceptional
93.6%
High School Diploma
Exceptional
92.0%
Exceptional
92.0%
GED/Equivalency
Exceptional
89.2%
Exceptional
89.0%
College, Under 1 year
Exceptional
71.6%
Exceptional
68.3%
College, 1 year or more
Exceptional
66.1%
Exceptional
62.2%
Associate's Degree
Exceptional
53.9%
Exceptional
48.5%
Bachelor's Degree
Exceptional
46.1%
Good
38.5%
Master's Degree
Exceptional
19.8%
Fair
14.6%
Professional Degree
Exceptional
6.2%
Average
4.5%
Doctorate Degree
Exceptional
2.6%
Fair
1.8%

Latvian vs Chinese Disability

When considering disability, the most significant differences between Latvian and Chinese communities in the United States are seen in disability age under 5 (1.3% compared to 1.1%, a difference of 15.0%), hearing disability (3.2% compared to 3.7%, a difference of 15.0%), and disability age 5 to 17 (5.4% compared to 4.7%, a difference of 14.9%). Conversely, both communities are more comparable in terms of disability age 35 to 64 (10.2% compared to 10.3%, a difference of 1.2%), disability age 65 to 74 (21.2% compared to 21.7%, a difference of 2.2%), and vision disability (2.0% compared to 2.0%, a difference of 3.1%).
Latvian vs Chinese Disability
Disability MetricLatvianChinese
Disability
Excellent
11.4%
Tragic
12.2%
Males
Good
11.1%
Tragic
12.1%
Females
Exceptional
11.7%
Fair
12.3%
Age | Under 5 years
Tragic
1.3%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
5.4%
Exceptional
4.7%
Age | 18 to 34 years
Poor
6.8%
Exceptional
6.3%
Age | 35 to 64 years
Exceptional
10.2%
Exceptional
10.3%
Age | 65 to 74 years
Exceptional
21.2%
Exceptional
21.7%
Age | Over 75 years
Exceptional
45.1%
Tragic
48.7%
Vision
Exceptional
2.0%
Exceptional
2.0%
Hearing
Tragic
3.2%
Tragic
3.7%
Cognitive
Exceptional
16.6%
Exceptional
15.9%
Ambulatory
Exceptional
5.7%
Tragic
6.5%
Self-Care
Exceptional
2.3%
Tragic
2.6%