Latvian vs Pakistani Community Comparison

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Latvian
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 EuropeanNorwegianOkinawanOsageOttawaPaiutePalestinianPanamanianParaguayanPennsylvania 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
Pakistani
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

Pakistanis

Exceptional
Good
9,576
SOCIAL INDEX
93.2/ 100
SOCIAL RATING
12th/ 347
SOCIAL RANK
8,084
SOCIAL INDEX
78.3/ 100
SOCIAL RATING
88th/ 347
SOCIAL RANK

Pakistani Integration in Latvian Communities

The statistical analysis conducted on geographies consisting of 177,473,274 people shows a weak positive correlation between the proportion of Pakistanis within Latvian communities in the United States with a correlation coefficient (R) of 0.227. On average, for every 1% (one percent) increase in Latvians within a typical geography, there is an increase of 0.030% in Pakistanis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Latvians corresponds to an increase of 29.6 Pakistanis.
Latvian Integration in Pakistani Communities

Latvian vs Pakistani Income

When considering income, the most significant differences between Latvian and Pakistani communities in the United States are seen in per capita income ($52,649 compared to $45,587, a difference of 15.5%), median family income ($120,301 compared to $107,390, a difference of 12.0%), and median male earnings ($63,498 compared to $56,719, a difference of 11.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,783 compared to $53,325, a difference of 1.0%), householder income over 65 years ($67,326 compared to $63,844, a difference of 5.4%), and wage/income gap (27.9% compared to 26.1%, a difference of 7.0%).
Latvian vs Pakistani Income
Income MetricLatvianPakistani
Per Capita Income
Exceptional
$52,649
Excellent
$45,587
Median Family Income
Exceptional
$120,301
Exceptional
$107,390
Median Household Income
Exceptional
$97,311
Exceptional
$89,638
Median Earnings
Exceptional
$53,001
Exceptional
$48,254
Median Male Earnings
Exceptional
$63,498
Excellent
$56,719
Median Female Earnings
Exceptional
$43,941
Excellent
$40,596
Householder Age | Under 25 years
Excellent
$52,783
Exceptional
$53,325
Householder Age | 25 - 44 years
Exceptional
$108,926
Excellent
$98,401
Householder Age | 45 - 64 years
Exceptional
$115,957
Exceptional
$105,317
Householder Age | Over 65 years
Exceptional
$67,326
Exceptional
$63,844
Wage/Income Gap
Tragic
27.9%
Fair
26.1%

Latvian vs Pakistani Poverty

When considering poverty, the most significant differences between Latvian and Pakistani communities in the United States are seen in married-couple family poverty (3.9% compared to 4.7%, a difference of 21.3%), family poverty (7.1% compared to 8.3%, a difference of 17.7%), and receiving food stamps (9.1% compared to 10.4%, a difference of 14.5%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.5% compared to 19.8%, a difference of 1.9%), single male poverty (12.7% compared to 12.4%, a difference of 2.4%), and single mother poverty (26.9% compared to 28.0%, a difference of 4.0%).
Latvian vs Pakistani Poverty
Poverty MetricLatvianPakistani
Poverty
Exceptional
10.5%
Excellent
11.9%
Families
Exceptional
7.1%
Exceptional
8.3%
Males
Exceptional
9.6%
Excellent
10.8%
Females
Exceptional
11.4%
Excellent
12.9%
Females 18 to 24 years
Exceptional
19.5%
Good
19.8%
Females 25 to 34 years
Exceptional
11.8%
Excellent
13.0%
Children Under 5 years
Exceptional
14.5%
Exceptional
16.0%
Children Under 16 years
Exceptional
13.2%
Exceptional
15.0%
Boys Under 16 years
Exceptional
13.4%
Exceptional
15.1%
Girls Under 16 years
Exceptional
13.5%
Exceptional
15.3%
Single Males
Good
12.7%
Exceptional
12.4%
Single Females
Exceptional
19.0%
Exceptional
20.2%
Single Fathers
Fair
16.5%
Exceptional
15.7%
Single Mothers
Exceptional
26.9%
Exceptional
28.0%
Married Couples
Exceptional
3.9%
Exceptional
4.7%
Seniors Over 65 years
Exceptional
9.5%
Exceptional
10.3%
Seniors Over 75 years
Exceptional
10.8%
Excellent
11.8%
Receiving Food Stamps
Exceptional
9.1%
Exceptional
10.4%

Latvian vs Pakistani Unemployment

When considering unemployment, the most significant differences between Latvian and Pakistani communities in the United States are seen in unemployment among ages 35 to 44 years (4.2% compared to 4.6%, a difference of 10.7%), female unemployment (4.7% compared to 5.1%, a difference of 9.5%), and unemployment (4.7% compared to 5.1%, a difference of 8.6%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.65%), unemployment among ages 20 to 24 years (9.9% compared to 9.8%, a difference of 1.3%), and unemployment among ages 55 to 59 years (4.6% compared to 4.7%, a difference of 1.7%).
Latvian vs Pakistani Unemployment
Unemployment MetricLatvianPakistani
Unemployment
Exceptional
4.7%
Excellent
5.1%
Males
Exceptional
4.8%
Excellent
5.2%
Females
Exceptional
4.7%
Excellent
5.1%
Youth < 25
Exceptional
11.0%
Exceptional
11.3%
Age | 16 to 19 years
Exceptional
16.7%
Excellent
17.2%
Age | 20 to 24 years
Exceptional
9.9%
Exceptional
9.8%
Age | 25 to 29 years
Exceptional
6.2%
Excellent
6.5%
Age | 30 to 34 years
Exceptional
5.0%
Good
5.4%
Age | 35 to 44 years
Exceptional
4.2%
Good
4.6%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.4%
Age | 55 to 59 years
Exceptional
4.6%
Excellent
4.7%
Age | 60 to 64 years
Good
4.8%
Good
4.8%
Age | 65 to 74 years
Exceptional
5.1%
Excellent
5.3%
Seniors > 65
Exceptional
4.9%
Good
5.1%
Seniors > 75
Excellent
8.6%
Fair
8.9%
Women w/ Children < 6
Exceptional
6.8%
Exceptional
7.3%
Women w/ Children 6 to 17
Exceptional
8.6%
Exceptional
8.4%
Women w/ Children < 18
Exceptional
4.9%
Excellent
5.2%

Latvian vs Pakistani Labor Participation

When considering labor participation, the most significant differences between Latvian and Pakistani communities in the United States are seen in in labor force | age 16-19 (38.9% compared to 37.6%, a difference of 3.5%), in labor force | age 30-34 (86.0% compared to 84.7%, a difference of 1.5%), and in labor force | age 25-29 (86.1% compared to 84.8%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.1% compared to 75.8%, a difference of 0.34%), in labor force | age > 16 (65.5% compared to 65.8%, a difference of 0.39%), and in labor force | age 20-64 (80.5% compared to 79.8%, a difference of 0.94%).
Latvian vs Pakistani Labor Participation
Labor Participation MetricLatvianPakistani
In Labor Force | Age > 16
Excellent
65.5%
Exceptional
65.8%
In Labor Force | Age 20-64
Exceptional
80.5%
Good
79.8%
In Labor Force | Age 16-19
Exceptional
38.9%
Excellent
37.6%
In Labor Force | Age 20-24
Exceptional
76.1%
Exceptional
75.8%
In Labor Force | Age 25-29
Exceptional
86.1%
Good
84.8%
In Labor Force | Age 30-34
Exceptional
86.0%
Good
84.7%
In Labor Force | Age 35-44
Exceptional
85.4%
Average
84.4%
In Labor Force | Age 45-54
Exceptional
83.8%
Average
82.8%

Latvian vs Pakistani Family Structure

When considering family structure, the most significant differences between Latvian and Pakistani communities in the United States are seen in single mother households (5.3% compared to 6.1%, a difference of 15.1%), single father households (2.0% compared to 2.3%, a difference of 14.7%), and births to unmarried women (27.7% compared to 30.5%, a difference of 9.9%). Conversely, both communities are more comparable in terms of married-couple households (47.9% compared to 47.3%, a difference of 1.2%), divorced or separated (11.6% compared to 11.9%, a difference of 2.6%), and currently married (48.5% compared to 47.2%, a difference of 2.8%).
Latvian vs Pakistani Family Structure
Family Structure MetricLatvianPakistani
Family Households
Tragic
62.8%
Excellent
64.7%
Family Households with Children
Tragic
26.4%
Exceptional
27.9%
Married-couple Households
Exceptional
47.9%
Excellent
47.3%
Average Family Size
Tragic
3.11
Fair
3.22
Single Father Households
Exceptional
2.0%
Good
2.3%
Single Mother Households
Exceptional
5.3%
Good
6.1%
Currently Married
Exceptional
48.5%
Good
47.2%
Divorced or Separated
Exceptional
11.6%
Excellent
11.9%
Births to Unmarried Women
Exceptional
27.7%
Excellent
30.5%

Latvian vs Pakistani Vehicle Availability

When considering vehicle availability, the most significant differences between Latvian and Pakistani communities in the United States are seen in 4 or more vehicles in household (6.1% compared to 7.0%, a difference of 14.6%), 3 or more vehicles in household (19.3% compared to 21.0%, a difference of 9.1%), and no vehicles in household (9.8% compared to 9.0%, a difference of 9.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 91.3%, a difference of 1.1%), 2 or more vehicles in household (56.2% compared to 57.9%, a difference of 2.9%), and no vehicles in household (9.8% compared to 9.0%, a difference of 9.0%).
Latvian vs Pakistani Vehicle Availability
Vehicle Availability MetricLatvianPakistani
No Vehicles Available
Excellent
9.8%
Exceptional
9.0%
1+ Vehicles Available
Excellent
90.3%
Exceptional
91.3%
2+ Vehicles Available
Excellent
56.2%
Exceptional
57.9%
3+ Vehicles Available
Fair
19.3%
Exceptional
21.0%
4+ Vehicles Available
Fair
6.1%
Exceptional
7.0%

Latvian vs Pakistani Education Level

When considering education level, the most significant differences between Latvian and Pakistani communities in the United States are seen in no schooling completed (1.5% compared to 2.1%, a difference of 36.6%), professional degree (6.2% compared to 4.8%, a difference of 30.8%), and doctorate degree (2.6% compared to 2.0%, a difference of 25.7%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 97.9%, a difference of 0.60%), kindergarten (98.5% compared to 97.9%, a difference of 0.60%), and 1st grade (98.5% compared to 97.9%, a difference of 0.61%).
Latvian vs Pakistani Education Level
Education Level MetricLatvianPakistani
No Schooling Completed
Exceptional
1.5%
Average
2.1%
Nursery School
Exceptional
98.5%
Fair
97.9%
Kindergarten
Exceptional
98.5%
Fair
97.9%
1st Grade
Exceptional
98.5%
Fair
97.9%
2nd Grade
Exceptional
98.4%
Fair
97.8%
3rd Grade
Exceptional
98.4%
Fair
97.7%
4th Grade
Exceptional
98.2%
Fair
97.5%
5th Grade
Exceptional
98.1%
Average
97.3%
6th Grade
Exceptional
97.9%
Average
97.0%
7th Grade
Exceptional
97.2%
Average
96.0%
8th Grade
Exceptional
97.0%
Average
95.7%
9th Grade
Exceptional
96.4%
Good
95.0%
10th Grade
Exceptional
95.6%
Good
93.9%
11th Grade
Exceptional
94.7%
Good
92.8%
12th Grade, No Diploma
Exceptional
93.6%
Good
91.5%
High School Diploma
Exceptional
92.0%
Good
89.6%
GED/Equivalency
Exceptional
89.2%
Excellent
86.4%
College, Under 1 year
Exceptional
71.6%
Exceptional
67.5%
College, 1 year or more
Exceptional
66.1%
Exceptional
61.5%
Associate's Degree
Exceptional
53.9%
Excellent
48.1%
Bachelor's Degree
Exceptional
46.1%
Excellent
39.7%
Master's Degree
Exceptional
19.8%
Excellent
15.8%
Professional Degree
Exceptional
6.2%
Exceptional
4.8%
Doctorate Degree
Exceptional
2.6%
Exceptional
2.0%

Latvian vs Pakistani Disability

When considering disability, the most significant differences between Latvian and Pakistani communities in the United States are seen in disability age 65 to 74 (21.2% compared to 23.2%, a difference of 9.5%), disability age 35 to 64 (10.2% compared to 11.1%, a difference of 9.4%), and vision disability (2.0% compared to 2.1%, a difference of 7.6%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.4% compared to 5.5%, a difference of 1.3%), hearing disability (3.2% compared to 3.1%, a difference of 1.9%), and male disability (11.1% compared to 11.3%, a difference of 2.2%).
Latvian vs Pakistani Disability
Disability MetricLatvianPakistani
Disability
Excellent
11.4%
Average
11.7%
Males
Good
11.1%
Fair
11.3%
Females
Exceptional
11.7%
Excellent
12.0%
Age | Under 5 years
Tragic
1.3%
Poor
1.3%
Age | 5 to 17 years
Exceptional
5.4%
Excellent
5.5%
Age | 18 to 34 years
Poor
6.8%
Fair
6.7%
Age | 35 to 64 years
Exceptional
10.2%
Good
11.1%
Age | 65 to 74 years
Exceptional
21.2%
Average
23.2%
Age | Over 75 years
Exceptional
45.1%
Fair
47.7%
Vision
Exceptional
2.0%
Good
2.1%
Hearing
Tragic
3.2%
Poor
3.1%
Cognitive
Exceptional
16.6%
Average
17.3%
Ambulatory
Exceptional
5.7%
Excellent
6.0%
Self-Care
Exceptional
2.3%
Good
2.4%