Immigrants from Bangladesh vs Czech Community Comparison

COMPARE

Immigrants from Bangladesh
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechoslovakianDanishDelawareDominicanDutchDutch 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 LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Czech
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
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBarbadosBelarusBelgiumBelizeBoliviaBosnia 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

Immigrants from Bangladesh

Czechs

Poor
Excellent
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK
8,484
SOCIAL INDEX
82.3/ 100
SOCIAL RATING
70th/ 347
SOCIAL RANK

Czech Integration in Immigrants from Bangladesh Communities

The statistical analysis conducted on geographies consisting of 192,903,697 people shows a weak negative correlation between the proportion of Czechs within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of -0.240. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is a decrease of 0.016% in Czechs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to a decrease of 15.6 Czechs.
Immigrants from Bangladesh Integration in Czech Communities

Immigrants from Bangladesh vs Czech Income

When considering income, the most significant differences between Immigrants from Bangladesh and Czech communities in the United States are seen in wage/income gap (20.9% compared to 29.2%, a difference of 39.3%), householder income ages 45 - 64 years ($92,208 compared to $103,507, a difference of 12.2%), and median family income ($94,665 compared to $105,839, a difference of 11.8%). Conversely, both communities are more comparable in terms of median female earnings ($39,910 compared to $38,992, a difference of 2.4%), median earnings ($45,532 compared to $47,221, a difference of 3.7%), and householder income under 25 years ($54,714 compared to $51,421, a difference of 6.4%).
Immigrants from Bangladesh vs Czech Income
Income MetricImmigrants from BangladeshCzech
Per Capita Income
Poor
$41,709
Good
$44,595
Median Family Income
Tragic
$94,665
Excellent
$105,839
Median Household Income
Tragic
$80,722
Good
$86,164
Median Earnings
Fair
$45,532
Good
$47,221
Median Male Earnings
Tragic
$51,642
Excellent
$56,546
Median Female Earnings
Good
$39,910
Poor
$38,992
Householder Age | Under 25 years
Exceptional
$54,714
Poor
$51,421
Householder Age | 25 - 44 years
Tragic
$90,448
Good
$96,525
Householder Age | 45 - 64 years
Tragic
$92,208
Excellent
$103,507
Householder Age | Over 65 years
Tragic
$55,394
Average
$61,244
Wage/Income Gap
Exceptional
20.9%
Tragic
29.2%

Immigrants from Bangladesh vs Czech Poverty

When considering poverty, the most significant differences between Immigrants from Bangladesh and Czech communities in the United States are seen in married-couple family poverty (7.5% compared to 4.0%, a difference of 86.1%), receiving food stamps (15.9% compared to 9.2%, a difference of 72.5%), and family poverty (11.7% compared to 7.4%, a difference of 57.6%). Conversely, both communities are more comparable in terms of single male poverty (13.0% compared to 13.5%, a difference of 3.9%), single father poverty (16.3% compared to 17.0%, a difference of 4.4%), and single female poverty (22.3% compared to 21.0%, a difference of 6.0%).
Immigrants from Bangladesh vs Czech Poverty
Poverty MetricImmigrants from BangladeshCzech
Poverty
Tragic
15.3%
Exceptional
10.8%
Families
Tragic
11.7%
Exceptional
7.4%
Males
Tragic
14.1%
Exceptional
9.8%
Females
Tragic
16.4%
Exceptional
11.9%
Females 18 to 24 years
Tragic
21.8%
Fair
20.4%
Females 25 to 34 years
Tragic
14.8%
Exceptional
12.9%
Children Under 5 years
Tragic
20.1%
Exceptional
15.5%
Children Under 16 years
Tragic
19.8%
Exceptional
13.8%
Boys Under 16 years
Tragic
19.9%
Exceptional
14.1%
Girls Under 16 years
Tragic
19.9%
Exceptional
14.2%
Single Males
Fair
13.0%
Tragic
13.5%
Single Females
Tragic
22.3%
Average
21.0%
Single Fathers
Average
16.3%
Tragic
17.0%
Single Mothers
Tragic
31.1%
Good
28.9%
Married Couples
Tragic
7.5%
Exceptional
4.0%
Seniors Over 65 years
Tragic
14.1%
Exceptional
9.0%
Seniors Over 75 years
Tragic
15.8%
Exceptional
10.5%
Receiving Food Stamps
Tragic
15.9%
Exceptional
9.2%

Immigrants from Bangladesh vs Czech Unemployment

When considering unemployment, the most significant differences between Immigrants from Bangladesh and Czech communities in the United States are seen in unemployment (6.5% compared to 4.3%, a difference of 49.0%), female unemployment (6.5% compared to 4.4%, a difference of 47.1%), and male unemployment (6.6% compared to 4.5%, a difference of 45.1%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.8% compared to 8.7%, a difference of 1.7%), unemployment among seniors over 75 years (9.1% compared to 9.7%, a difference of 7.0%), and unemployment among women with children under 6 years (8.8% compared to 7.6%, a difference of 16.3%).
Immigrants from Bangladesh vs Czech Unemployment
Unemployment MetricImmigrants from BangladeshCzech
Unemployment
Tragic
6.5%
Exceptional
4.3%
Males
Tragic
6.6%
Exceptional
4.5%
Females
Tragic
6.5%
Exceptional
4.4%
Youth < 25
Tragic
14.2%
Exceptional
10.3%
Age | 16 to 19 years
Tragic
21.5%
Exceptional
15.4%
Age | 20 to 24 years
Tragic
12.6%
Exceptional
9.3%
Age | 25 to 29 years
Tragic
7.5%
Exceptional
6.2%
Age | 30 to 34 years
Tragic
6.4%
Exceptional
5.0%
Age | 35 to 44 years
Tragic
5.3%
Exceptional
4.1%
Age | 45 to 54 years
Tragic
5.4%
Exceptional
4.0%
Age | 55 to 59 years
Tragic
5.9%
Exceptional
4.4%
Age | 60 to 64 years
Tragic
6.0%
Exceptional
4.4%
Age | 65 to 74 years
Tragic
5.9%
Exceptional
5.0%
Seniors > 65
Tragic
5.7%
Exceptional
4.7%
Seniors > 75
Tragic
9.1%
Tragic
9.7%
Women w/ Children < 6
Tragic
8.8%
Average
7.6%
Women w/ Children 6 to 17
Good
8.8%
Exceptional
8.7%
Women w/ Children < 18
Tragic
6.4%
Exceptional
4.7%

Immigrants from Bangladesh vs Czech Labor Participation

When considering labor participation, the most significant differences between Immigrants from Bangladesh and Czech communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 43.6%, a difference of 45.3%), in labor force | age 20-24 (70.6% compared to 78.5%, a difference of 11.2%), and in labor force | age 45-54 (80.7% compared to 83.9%, a difference of 4.0%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.5% compared to 65.4%, a difference of 1.3%), in labor force | age 30-34 (83.6% compared to 85.5%, a difference of 2.3%), and in labor force | age 35-44 (82.9% compared to 85.3%, a difference of 2.9%).
Immigrants from Bangladesh vs Czech Labor Participation
Labor Participation MetricImmigrants from BangladeshCzech
In Labor Force | Age > 16
Tragic
64.5%
Excellent
65.4%
In Labor Force | Age 20-64
Tragic
77.9%
Exceptional
80.5%
In Labor Force | Age 16-19
Tragic
30.0%
Exceptional
43.6%
In Labor Force | Age 20-24
Tragic
70.6%
Exceptional
78.5%
In Labor Force | Age 25-29
Tragic
83.0%
Exceptional
85.6%
In Labor Force | Age 30-34
Tragic
83.6%
Exceptional
85.5%
In Labor Force | Age 35-44
Tragic
82.9%
Exceptional
85.3%
In Labor Force | Age 45-54
Tragic
80.7%
Exceptional
83.9%

Immigrants from Bangladesh vs Czech Family Structure

When considering family structure, the most significant differences between Immigrants from Bangladesh and Czech communities in the United States are seen in single mother households (6.9% compared to 5.6%, a difference of 21.7%), married-couple households (43.1% compared to 49.4%, a difference of 14.7%), and currently married (43.6% compared to 49.9%, a difference of 14.3%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.5%, a difference of 0.040%), family households (63.9% compared to 64.5%, a difference of 0.93%), and births to unmarried women (30.9% compared to 30.5%, a difference of 1.2%).
Immigrants from Bangladesh vs Czech Family Structure
Family Structure MetricImmigrants from BangladeshCzech
Family Households
Poor
63.9%
Good
64.5%
Family Households with Children
Good
27.6%
Good
27.5%
Married-couple Households
Tragic
43.1%
Exceptional
49.4%
Average Family Size
Exceptional
3.36
Tragic
3.11
Single Father Households
Exceptional
2.1%
Good
2.3%
Single Mother Households
Tragic
6.9%
Exceptional
5.6%
Currently Married
Tragic
43.6%
Exceptional
49.9%
Divorced or Separated
Exceptional
11.0%
Good
11.9%
Births to Unmarried Women
Good
30.9%
Excellent
30.5%

Immigrants from Bangladesh vs Czech Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Czech communities in the United States are seen in no vehicles in household (25.8% compared to 6.9%, a difference of 274.2%), 4 or more vehicles in household (3.9% compared to 7.4%, a difference of 88.6%), and 3 or more vehicles in household (12.5% compared to 22.5%, a difference of 79.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 93.3%, a difference of 25.5%), 2 or more vehicles in household (38.8% compared to 61.5%, a difference of 58.5%), and 3 or more vehicles in household (12.5% compared to 22.5%, a difference of 79.9%).
Immigrants from Bangladesh vs Czech Vehicle Availability
Vehicle Availability MetricImmigrants from BangladeshCzech
No Vehicles Available
Tragic
25.8%
Exceptional
6.9%
1+ Vehicles Available
Tragic
74.3%
Exceptional
93.3%
2+ Vehicles Available
Tragic
38.8%
Exceptional
61.5%
3+ Vehicles Available
Tragic
12.5%
Exceptional
22.5%
4+ Vehicles Available
Tragic
3.9%
Exceptional
7.4%

Immigrants from Bangladesh vs Czech Education Level

When considering education level, the most significant differences between Immigrants from Bangladesh and Czech communities in the United States are seen in no schooling completed (3.1% compared to 1.5%, a difference of 110.8%), college, under 1 year (61.3% compared to 67.1%, a difference of 9.5%), and ged/equivalency (81.9% compared to 88.1%, a difference of 7.6%). Conversely, both communities are more comparable in terms of bachelor's degree (37.8% compared to 38.0%, a difference of 0.42%), professional degree (4.4% compared to 4.4%, a difference of 1.6%), and nursery school (96.9% compared to 98.6%, a difference of 1.8%).
Immigrants from Bangladesh vs Czech Education Level
Education Level MetricImmigrants from BangladeshCzech
No Schooling Completed
Tragic
3.1%
Exceptional
1.5%
Nursery School
Tragic
96.9%
Exceptional
98.6%
Kindergarten
Tragic
96.8%
Exceptional
98.6%
1st Grade
Tragic
96.8%
Exceptional
98.5%
2nd Grade
Tragic
96.7%
Exceptional
98.5%
3rd Grade
Tragic
96.6%
Exceptional
98.4%
4th Grade
Tragic
96.2%
Exceptional
98.3%
5th Grade
Tragic
96.0%
Exceptional
98.2%
6th Grade
Tragic
95.4%
Exceptional
98.0%
7th Grade
Tragic
94.0%
Exceptional
97.4%
8th Grade
Tragic
93.6%
Exceptional
97.1%
9th Grade
Tragic
92.4%
Exceptional
96.4%
10th Grade
Tragic
91.0%
Exceptional
95.5%
11th Grade
Tragic
89.5%
Exceptional
94.4%
12th Grade, No Diploma
Tragic
88.0%
Exceptional
93.2%
High School Diploma
Tragic
85.5%
Exceptional
91.6%
GED/Equivalency
Tragic
81.9%
Exceptional
88.1%
College, Under 1 year
Tragic
61.3%
Exceptional
67.1%
College, 1 year or more
Tragic
56.6%
Excellent
60.6%
Associate's Degree
Fair
45.2%
Good
47.2%
Bachelor's Degree
Average
37.8%
Average
38.0%
Master's Degree
Good
15.5%
Average
14.7%
Professional Degree
Average
4.4%
Average
4.4%
Doctorate Degree
Average
1.8%
Good
1.9%

Immigrants from Bangladesh vs Czech Disability

When considering disability, the most significant differences between Immigrants from Bangladesh and Czech communities in the United States are seen in disability age under 5 (0.85% compared to 1.5%, a difference of 81.8%), hearing disability (2.4% compared to 3.5%, a difference of 45.2%), and disability age 18 to 34 (5.6% compared to 7.2%, a difference of 28.6%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.1%, a difference of 1.9%), female disability (11.8% compared to 12.1%, a difference of 3.2%), and ambulatory disability (6.2% compared to 6.0%, a difference of 3.7%).
Immigrants from Bangladesh vs Czech Disability
Disability MetricImmigrants from BangladeshCzech
Disability
Exceptional
11.0%
Tragic
12.0%
Males
Exceptional
10.3%
Tragic
11.9%
Females
Exceptional
11.8%
Good
12.1%
Age | Under 5 years
Exceptional
0.85%
Tragic
1.5%
Age | 5 to 17 years
Exceptional
5.2%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
5.6%
Tragic
7.2%
Age | 35 to 64 years
Excellent
10.9%
Average
11.3%
Age | 65 to 74 years
Fair
23.6%
Exceptional
22.4%
Age | Over 75 years
Tragic
48.0%
Exceptional
45.7%
Vision
Good
2.1%
Excellent
2.1%
Hearing
Exceptional
2.4%
Tragic
3.5%
Cognitive
Tragic
17.8%
Exceptional
16.4%
Ambulatory
Fair
6.2%
Excellent
6.0%
Self-Care
Tragic
2.6%
Exceptional
2.3%