Chinese vs Latvian Community Comparison

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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
Latvian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta 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 EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Chinese

Latvians

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

Latvian Integration in Chinese Communities

The statistical analysis conducted on geographies consisting of 50,382,188 people shows a slight negative correlation between the proportion of Latvians within Chinese communities in the United States with a correlation coefficient (R) of -0.095. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is a decrease of 0.007% in Latvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to a decrease of 7.3 Latvians.
Chinese Integration in Latvian Communities

Chinese vs Latvian Income

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

Chinese vs Latvian Poverty

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

Chinese vs Latvian Unemployment

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

Chinese vs Latvian Labor Participation

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

Chinese vs Latvian Family Structure

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

Chinese vs Latvian Vehicle Availability

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

Chinese vs Latvian Education Level

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

Chinese vs Latvian Disability

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