Czech vs Nepalese Community Comparison
COMPARE
Czech
Nepalese
Social Comparison
Social Comparison
Czechs
Nepalese
8,484
SOCIAL INDEX
82.3/ 100
SOCIAL RATING
70th/ 347
SOCIAL RANK
1,939
SOCIAL INDEX
16.9/ 100
SOCIAL RATING
281st/ 347
SOCIAL RANK
Nepalese Integration in Czech Communities
The statistical analysis conducted on geographies consisting of 23,750,955 people shows a significant positive correlation between the proportion of Nepalese within Czech communities in the United States with a correlation coefficient (R) of 0.660. On average, for every 1% (one percent) increase in Czechs within a typical geography, there is an increase of 1.056% in Nepalese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Czechs corresponds to an increase of 1,055.9 Nepalese.
Czech vs Nepalese Income
When considering income, the most significant differences between Czech and Nepalese communities in the United States are seen in wage/income gap (29.2% compared to 22.2%, a difference of 31.3%), per capita income ($44,595 compared to $38,442, a difference of 16.0%), and median male earnings ($56,546 compared to $49,458, a difference of 14.3%). Conversely, both communities are more comparable in terms of median female earnings ($38,992 compared to $38,603, a difference of 1.0%), householder income over 65 years ($61,244 compared to $58,761, a difference of 4.2%), and median household income ($86,164 compared to $82,410, a difference of 4.5%).
Income Metric | Czech | Nepalese |
Per Capita Income | Good $44,595 | Tragic $38,442 |
Median Family Income | Excellent $105,839 | Tragic $94,153 |
Median Household Income | Good $86,164 | Poor $82,410 |
Median Earnings | Good $47,221 | Tragic $43,860 |
Median Male Earnings | Excellent $56,546 | Tragic $49,458 |
Median Female Earnings | Poor $38,992 | Tragic $38,603 |
Householder Age | Under 25 years | Poor $51,421 | Exceptional $54,472 |
Householder Age | 25 - 44 years | Good $96,525 | Poor $91,498 |
Householder Age | 45 - 64 years | Excellent $103,507 | Tragic $93,355 |
Householder Age | Over 65 years | Average $61,244 | Tragic $58,761 |
Wage/Income Gap | Tragic 29.2% | Exceptional 22.2% |
Czech vs Nepalese Poverty
When considering poverty, the most significant differences between Czech and Nepalese communities in the United States are seen in married-couple family poverty (4.0% compared to 6.5%, a difference of 62.4%), receiving food stamps (9.2% compared to 14.6%, a difference of 58.4%), and family poverty (7.4% compared to 10.4%, a difference of 40.5%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.4% compared to 20.2%, a difference of 1.0%), single mother poverty (28.9% compared to 29.3%, a difference of 1.5%), and single female poverty (21.0% compared to 21.7%, a difference of 3.3%).
Poverty Metric | Czech | Nepalese |
Poverty | Exceptional 10.8% | Tragic 14.0% |
Families | Exceptional 7.4% | Tragic 10.4% |
Males | Exceptional 9.8% | Tragic 12.8% |
Females | Exceptional 11.9% | Tragic 15.2% |
Females 18 to 24 years | Fair 20.4% | Fair 20.2% |
Females 25 to 34 years | Exceptional 12.9% | Tragic 15.2% |
Children Under 5 years | Exceptional 15.5% | Tragic 18.3% |
Children Under 16 years | Exceptional 13.8% | Tragic 18.2% |
Boys Under 16 years | Exceptional 14.1% | Tragic 18.0% |
Girls Under 16 years | Exceptional 14.2% | Tragic 18.6% |
Single Males | Tragic 13.5% | Exceptional 11.6% |
Single Females | Average 21.0% | Tragic 21.7% |
Single Fathers | Tragic 17.0% | Exceptional 14.4% |
Single Mothers | Good 28.9% | Fair 29.3% |
Married Couples | Exceptional 4.0% | Tragic 6.5% |
Seniors Over 65 years | Exceptional 9.0% | Tragic 11.5% |
Seniors Over 75 years | Exceptional 10.5% | Poor 12.6% |
Receiving Food Stamps | Exceptional 9.2% | Tragic 14.6% |
Czech vs Nepalese Unemployment
When considering unemployment, the most significant differences between Czech and Nepalese communities in the United States are seen in male unemployment (4.5% compared to 6.4%, a difference of 42.3%), unemployment (4.3% compared to 6.2%, a difference of 42.2%), and unemployment among ages 35 to 44 years (4.1% compared to 5.6%, a difference of 35.0%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.6% compared to 7.7%, a difference of 1.1%), unemployment among ages 65 to 74 years (5.0% compared to 5.0%, a difference of 1.8%), and unemployment among seniors over 75 years (9.7% compared to 10.1%, a difference of 4.2%).
Unemployment Metric | Czech | Nepalese |
Unemployment | Exceptional 4.3% | Tragic 6.2% |
Males | Exceptional 4.5% | Tragic 6.4% |
Females | Exceptional 4.4% | Tragic 5.9% |
Youth < 25 | Exceptional 10.3% | Tragic 12.5% |
Age | 16 to 19 years | Exceptional 15.4% | Tragic 18.2% |
Age | 20 to 24 years | Exceptional 9.3% | Tragic 10.6% |
Age | 25 to 29 years | Exceptional 6.2% | Tragic 7.5% |
Age | 30 to 34 years | Exceptional 5.0% | Tragic 5.9% |
Age | 35 to 44 years | Exceptional 4.1% | Tragic 5.6% |
Age | 45 to 54 years | Exceptional 4.0% | Tragic 5.0% |
Age | 55 to 59 years | Exceptional 4.4% | Tragic 5.6% |
Age | 60 to 64 years | Exceptional 4.4% | Tragic 5.2% |
Age | 65 to 74 years | Exceptional 5.0% | Exceptional 5.0% |
Seniors > 65 | Exceptional 4.7% | Good 5.1% |
Seniors > 75 | Tragic 9.7% | Tragic 10.1% |
Women w/ Children < 6 | Average 7.6% | Average 7.7% |
Women w/ Children 6 to 17 | Exceptional 8.7% | Exceptional 7.7% |
Women w/ Children < 18 | Exceptional 4.7% | Tragic 6.0% |
Czech vs Nepalese Labor Participation
When considering labor participation, the most significant differences between Czech and Nepalese communities in the United States are seen in in labor force | age 16-19 (43.6% compared to 33.5%, a difference of 30.2%), in labor force | age 20-24 (78.5% compared to 74.5%, a difference of 5.5%), and in labor force | age 45-54 (83.9% compared to 80.5%, a difference of 4.2%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.4% compared to 63.8%, a difference of 2.5%), in labor force | age 25-29 (85.6% compared to 82.9%, a difference of 3.3%), and in labor force | age 30-34 (85.5% compared to 82.7%, a difference of 3.4%).
Labor Participation Metric | Czech | Nepalese |
In Labor Force | Age > 16 | Excellent 65.4% | Tragic 63.8% |
In Labor Force | Age 20-64 | Exceptional 80.5% | Tragic 77.5% |
In Labor Force | Age 16-19 | Exceptional 43.6% | Tragic 33.5% |
In Labor Force | Age 20-24 | Exceptional 78.5% | Poor 74.5% |
In Labor Force | Age 25-29 | Exceptional 85.6% | Tragic 82.9% |
In Labor Force | Age 30-34 | Exceptional 85.5% | Tragic 82.7% |
In Labor Force | Age 35-44 | Exceptional 85.3% | Tragic 82.4% |
In Labor Force | Age 45-54 | Exceptional 83.9% | Tragic 80.5% |
Czech vs Nepalese Family Structure
When considering family structure, the most significant differences between Czech and Nepalese communities in the United States are seen in single father households (2.3% compared to 3.1%, a difference of 34.6%), single mother households (5.6% compared to 7.5%, a difference of 32.1%), and currently married (49.9% compared to 44.7%, a difference of 11.4%). Conversely, both communities are more comparable in terms of family households (64.5% compared to 67.2%, a difference of 4.3%), divorced or separated (11.9% compared to 12.5%, a difference of 4.5%), and married-couple households (49.4% compared to 45.6%, a difference of 8.5%).
Family Structure Metric | Czech | Nepalese |
Family Households | Good 64.5% | Exceptional 67.2% |
Family Households with Children | Good 27.5% | Exceptional 30.5% |
Married-couple Households | Exceptional 49.4% | Poor 45.6% |
Average Family Size | Tragic 3.11 | Exceptional 3.42 |
Single Father Households | Good 2.3% | Tragic 3.1% |
Single Mother Households | Exceptional 5.6% | Tragic 7.5% |
Currently Married | Exceptional 49.9% | Tragic 44.7% |
Divorced or Separated | Good 11.9% | Tragic 12.5% |
Births to Unmarried Women | Excellent 30.5% | Tragic 33.5% |
Czech vs Nepalese Vehicle Availability
When considering vehicle availability, the most significant differences between Czech and Nepalese communities in the United States are seen in 4 or more vehicles in household (7.4% compared to 8.7%, a difference of 19.0%), 3 or more vehicles in household (22.5% compared to 24.9%, a difference of 10.7%), and no vehicles in household (6.9% compared to 7.4%, a difference of 7.4%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (61.5% compared to 61.4%, a difference of 0.090%), 1 or more vehicles in household (93.3% compared to 92.6%, a difference of 0.68%), and no vehicles in household (6.9% compared to 7.4%, a difference of 7.4%).
Vehicle Availability Metric | Czech | Nepalese |
No Vehicles Available | Exceptional 6.9% | Exceptional 7.4% |
1+ Vehicles Available | Exceptional 93.3% | Exceptional 92.6% |
2+ Vehicles Available | Exceptional 61.5% | Exceptional 61.4% |
3+ Vehicles Available | Exceptional 22.5% | Exceptional 24.9% |
4+ Vehicles Available | Exceptional 7.4% | Exceptional 8.7% |
Czech vs Nepalese Education Level
When considering education level, the most significant differences between Czech and Nepalese communities in the United States are seen in no schooling completed (1.5% compared to 3.8%, a difference of 155.1%), doctorate degree (1.9% compared to 1.3%, a difference of 50.6%), and master's degree (14.7% compared to 10.5%, a difference of 40.7%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 96.2%, a difference of 2.5%), kindergarten (98.6% compared to 96.2%, a difference of 2.5%), and 1st grade (98.5% compared to 96.1%, a difference of 2.5%).
Education Level Metric | Czech | Nepalese |
No Schooling Completed | Exceptional 1.5% | Tragic 3.8% |
Nursery School | Exceptional 98.6% | Tragic 96.2% |
Kindergarten | Exceptional 98.6% | Tragic 96.2% |
1st Grade | Exceptional 98.5% | Tragic 96.1% |
2nd Grade | Exceptional 98.5% | Tragic 96.1% |
3rd Grade | Exceptional 98.4% | Tragic 95.9% |
4th Grade | Exceptional 98.3% | Tragic 95.5% |
5th Grade | Exceptional 98.2% | Tragic 95.2% |
6th Grade | Exceptional 98.0% | Tragic 94.9% |
7th Grade | Exceptional 97.4% | Tragic 93.2% |
8th Grade | Exceptional 97.1% | Tragic 92.8% |
9th Grade | Exceptional 96.4% | Tragic 92.0% |
10th Grade | Exceptional 95.5% | Tragic 90.7% |
11th Grade | Exceptional 94.4% | Tragic 89.5% |
12th Grade, No Diploma | Exceptional 93.2% | Tragic 88.1% |
High School Diploma | Exceptional 91.6% | Tragic 85.3% |
GED/Equivalency | Exceptional 88.1% | Tragic 81.9% |
College, Under 1 year | Exceptional 67.1% | Tragic 62.2% |
College, 1 year or more | Excellent 60.6% | Tragic 54.9% |
Associate's Degree | Good 47.2% | Tragic 39.0% |
Bachelor's Degree | Average 38.0% | Tragic 29.9% |
Master's Degree | Average 14.7% | Tragic 10.5% |
Professional Degree | Average 4.4% | Tragic 3.2% |
Doctorate Degree | Good 1.9% | Tragic 1.3% |
Czech vs Nepalese Disability
When considering disability, the most significant differences between Czech and Nepalese communities in the United States are seen in disability age under 5 (1.5% compared to 0.97%, a difference of 59.3%), self-care disability (2.3% compared to 3.0%, a difference of 29.6%), and disability age 65 to 74 (22.4% compared to 28.0%, a difference of 24.9%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (7.2% compared to 7.1%, a difference of 1.9%), male disability (11.9% compared to 12.2%, a difference of 2.5%), and disability (12.0% compared to 12.8%, a difference of 6.2%).
Disability Metric | Czech | Nepalese |
Disability | Tragic 12.0% | Tragic 12.8% |
Males | Tragic 11.9% | Tragic 12.2% |
Females | Good 12.1% | Tragic 13.3% |
Age | Under 5 years | Tragic 1.5% | Exceptional 0.97% |
Age | 5 to 17 years | Tragic 5.8% | Exceptional 5.3% |
Age | 18 to 34 years | Tragic 7.2% | Tragic 7.1% |
Age | 35 to 64 years | Average 11.3% | Tragic 12.8% |
Age | 65 to 74 years | Exceptional 22.4% | Tragic 28.0% |
Age | Over 75 years | Exceptional 45.7% | Tragic 52.6% |
Vision | Excellent 2.1% | Tragic 2.4% |
Hearing | Tragic 3.5% | Tragic 3.3% |
Cognitive | Exceptional 16.4% | Tragic 18.0% |
Ambulatory | Excellent 6.0% | Tragic 6.6% |
Self-Care | Exceptional 2.3% | Tragic 3.0% |