Welsh vs Bhutanese Community Comparison
COMPARE
Welsh
Bhutanese
Social Comparison
Social Comparison
Welsh
Bhutanese
6,335
SOCIAL INDEX
60.8/ 100
SOCIAL RATING
156th/ 347
SOCIAL RANK
10,144
SOCIAL INDEX
98.9/ 100
SOCIAL RATING
3rd/ 347
SOCIAL RANK
Bhutanese Integration in Welsh Communities
The statistical analysis conducted on geographies consisting of 436,852,550 people shows a moderate positive correlation between the proportion of Bhutanese within Welsh communities in the United States with a correlation coefficient (R) of 0.421. On average, for every 1% (one percent) increase in Welsh within a typical geography, there is an increase of 0.049% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Welsh corresponds to an increase of 49.3 Bhutanese.
Welsh vs Bhutanese Income
When considering income, the most significant differences between Welsh and Bhutanese communities in the United States are seen in median household income ($83,628 compared to $100,151, a difference of 19.8%), householder income over 65 years ($60,666 compared to $72,288, a difference of 19.2%), and householder income ages 25 - 44 years ($93,039 compared to $109,520, a difference of 17.7%). Conversely, both communities are more comparable in terms of wage/income gap (28.9% compared to 27.0%, a difference of 7.2%), householder income under 25 years ($50,597 compared to $57,078, a difference of 12.8%), and median male earnings ($54,647 compared to $61,759, a difference of 13.0%).
Income Metric | Welsh | Bhutanese |
Per Capita Income | Fair $43,233 | Exceptional $49,894 |
Median Family Income | Average $102,151 | Exceptional $119,800 |
Median Household Income | Fair $83,628 | Exceptional $100,151 |
Median Earnings | Fair $45,710 | Exceptional $52,297 |
Median Male Earnings | Average $54,647 | Exceptional $61,759 |
Median Female Earnings | Tragic $37,856 | Exceptional $43,648 |
Householder Age | Under 25 years | Tragic $50,597 | Exceptional $57,078 |
Householder Age | 25 - 44 years | Fair $93,039 | Exceptional $109,520 |
Householder Age | 45 - 64 years | Average $100,322 | Exceptional $117,750 |
Householder Age | Over 65 years | Average $60,666 | Exceptional $72,288 |
Wage/Income Gap | Tragic 28.9% | Tragic 27.0% |
Welsh vs Bhutanese Poverty
When considering poverty, the most significant differences between Welsh and Bhutanese communities in the United States are seen in child poverty under the age of 5 (17.2% compared to 13.4%, a difference of 28.5%), single male poverty (14.0% compared to 11.1%, a difference of 26.7%), and single female poverty (22.0% compared to 17.7%, a difference of 24.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (10.5% compared to 10.6%, a difference of 0.35%), seniors poverty over the age of 65 (9.3% compared to 9.3%, a difference of 0.97%), and married-couple family poverty (4.3% compared to 4.1%, a difference of 5.7%).
Poverty Metric | Welsh | Bhutanese |
Poverty | Exceptional 11.6% | Exceptional 10.4% |
Families | Exceptional 8.1% | Exceptional 7.0% |
Males | Exceptional 10.5% | Exceptional 9.5% |
Females | Exceptional 12.7% | Exceptional 11.3% |
Females 18 to 24 years | Tragic 20.8% | Exceptional 18.2% |
Females 25 to 34 years | Poor 14.0% | Exceptional 11.4% |
Children Under 5 years | Average 17.2% | Exceptional 13.4% |
Children Under 16 years | Excellent 15.3% | Exceptional 12.5% |
Boys Under 16 years | Excellent 15.5% | Exceptional 12.6% |
Girls Under 16 years | Excellent 15.6% | Exceptional 12.7% |
Single Males | Tragic 14.0% | Exceptional 11.1% |
Single Females | Tragic 22.0% | Exceptional 17.7% |
Single Fathers | Tragic 17.8% | Exceptional 15.0% |
Single Mothers | Tragic 30.4% | Exceptional 25.6% |
Married Couples | Exceptional 4.3% | Exceptional 4.1% |
Seniors Over 65 years | Exceptional 9.3% | Exceptional 9.3% |
Seniors Over 75 years | Exceptional 10.5% | Exceptional 10.6% |
Receiving Food Stamps | Exceptional 10.3% | Exceptional 9.2% |
Welsh vs Bhutanese Unemployment
When considering unemployment, the most significant differences between Welsh and Bhutanese communities in the United States are seen in unemployment among seniors over 75 years (10.0% compared to 8.0%, a difference of 23.6%), unemployment among women with children under 6 years (8.0% compared to 6.7%, a difference of 19.5%), and unemployment among women with children ages 6 to 17 years (9.3% compared to 8.1%, a difference of 15.2%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.4% compared to 16.4%, a difference of 0.14%), unemployment among ages 45 to 54 years (4.1% compared to 4.2%, a difference of 0.17%), and unemployment among ages 60 to 64 years (4.6% compared to 4.5%, a difference of 0.87%).
Unemployment Metric | Welsh | Bhutanese |
Unemployment | Exceptional 4.7% | Exceptional 4.9% |
Males | Exceptional 4.8% | Exceptional 4.9% |
Females | Exceptional 4.7% | Exceptional 4.9% |
Youth < 25 | Exceptional 10.9% | Exceptional 11.2% |
Age | 16 to 19 years | Exceptional 16.4% | Exceptional 16.4% |
Age | 20 to 24 years | Exceptional 9.8% | Exceptional 10.0% |
Age | 25 to 29 years | Good 6.6% | Exceptional 6.2% |
Age | 30 to 34 years | Average 5.4% | Exceptional 5.2% |
Age | 35 to 44 years | Exceptional 4.5% | Exceptional 4.4% |
Age | 45 to 54 years | Exceptional 4.1% | Exceptional 4.2% |
Age | 55 to 59 years | Exceptional 4.5% | Exceptional 4.6% |
Age | 60 to 64 years | Exceptional 4.6% | Exceptional 4.5% |
Age | 65 to 74 years | Exceptional 5.2% | Exceptional 5.0% |
Seniors > 65 | Exceptional 5.0% | Exceptional 4.8% |
Seniors > 75 | Tragic 10.0% | Exceptional 8.0% |
Women w/ Children < 6 | Tragic 8.0% | Exceptional 6.7% |
Women w/ Children 6 to 17 | Tragic 9.3% | Exceptional 8.1% |
Women w/ Children < 18 | Exceptional 5.1% | Exceptional 5.0% |
Welsh vs Bhutanese Labor Participation
When considering labor participation, the most significant differences between Welsh and Bhutanese communities in the United States are seen in in labor force | age 16-19 (42.3% compared to 36.3%, a difference of 16.5%), in labor force | age 20-24 (77.5% compared to 75.4%, a difference of 2.7%), and in labor force | age > 16 (64.0% compared to 65.5%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.5% compared to 84.8%, a difference of 0.36%), in labor force | age 35-44 (84.0% compared to 84.7%, a difference of 0.82%), and in labor force | age 30-34 (84.2% compared to 85.0%, a difference of 0.98%).
Labor Participation Metric | Welsh | Bhutanese |
In Labor Force | Age > 16 | Tragic 64.0% | Excellent 65.5% |
In Labor Force | Age 20-64 | Tragic 79.0% | Exceptional 80.2% |
In Labor Force | Age 16-19 | Exceptional 42.3% | Fair 36.3% |
In Labor Force | Age 20-24 | Exceptional 77.5% | Excellent 75.4% |
In Labor Force | Age 25-29 | Fair 84.5% | Good 84.8% |
In Labor Force | Age 30-34 | Tragic 84.2% | Excellent 85.0% |
In Labor Force | Age 35-44 | Tragic 84.0% | Excellent 84.7% |
In Labor Force | Age 45-54 | Tragic 82.3% | Exceptional 83.5% |
Welsh vs Bhutanese Family Structure
When considering family structure, the most significant differences between Welsh and Bhutanese communities in the United States are seen in births to unmarried women (32.0% compared to 27.9%, a difference of 14.9%), divorced or separated (12.6% compared to 11.2%, a difference of 12.5%), and single mother households (5.9% compared to 5.3%, a difference of 11.2%). Conversely, both communities are more comparable in terms of family households with children (27.2% compared to 27.3%, a difference of 0.39%), currently married (48.9% compared to 48.6%, a difference of 0.60%), and married-couple households (48.8% compared to 49.3%, a difference of 0.98%).
Family Structure Metric | Welsh | Bhutanese |
Family Households | Excellent 64.6% | Exceptional 65.9% |
Family Households with Children | Poor 27.2% | Fair 27.3% |
Married-couple Households | Exceptional 48.8% | Exceptional 49.3% |
Average Family Size | Tragic 3.12 | Excellent 3.25 |
Single Father Households | Average 2.3% | Exceptional 2.1% |
Single Mother Households | Exceptional 5.9% | Exceptional 5.3% |
Currently Married | Exceptional 48.9% | Exceptional 48.6% |
Divorced or Separated | Tragic 12.6% | Exceptional 11.2% |
Births to Unmarried Women | Fair 32.0% | Exceptional 27.9% |
Welsh vs Bhutanese Vehicle Availability
When considering vehicle availability, the most significant differences between Welsh and Bhutanese communities in the United States are seen in no vehicles in household (7.2% compared to 8.7%, a difference of 21.8%), 4 or more vehicles in household (7.5% compared to 7.8%, a difference of 4.1%), and 2 or more vehicles in household (60.8% compared to 59.1%, a difference of 2.9%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (22.6% compared to 22.2%, a difference of 1.5%), 1 or more vehicles in household (93.0% compared to 91.4%, a difference of 1.8%), and 2 or more vehicles in household (60.8% compared to 59.1%, a difference of 2.9%).
Vehicle Availability Metric | Welsh | Bhutanese |
No Vehicles Available | Exceptional 7.2% | Exceptional 8.7% |
1+ Vehicles Available | Exceptional 93.0% | Exceptional 91.4% |
2+ Vehicles Available | Exceptional 60.8% | Exceptional 59.1% |
3+ Vehicles Available | Exceptional 22.6% | Exceptional 22.2% |
4+ Vehicles Available | Exceptional 7.5% | Exceptional 7.8% |
Welsh vs Bhutanese Education Level
When considering education level, the most significant differences between Welsh and Bhutanese communities in the United States are seen in professional degree (4.3% compared to 5.4%, a difference of 26.1%), no schooling completed (1.5% compared to 1.8%, a difference of 22.7%), and doctorate degree (1.9% compared to 2.3%, a difference of 22.5%). Conversely, both communities are more comparable in terms of high school diploma (91.2% compared to 91.2%, a difference of 0.020%), 12th grade, no diploma (92.8% compared to 93.0%, a difference of 0.13%), and 11th grade (94.2% compared to 94.0%, a difference of 0.26%).
Education Level Metric | Welsh | Bhutanese |
No Schooling Completed | Exceptional 1.5% | Exceptional 1.8% |
Nursery School | Exceptional 98.9% | Exceptional 98.2% |
Kindergarten | Exceptional 98.9% | Exceptional 98.2% |
1st Grade | Exceptional 98.9% | Exceptional 98.2% |
2nd Grade | Exceptional 98.5% | Exceptional 98.1% |
3rd Grade | Exceptional 98.8% | Exceptional 98.1% |
4th Grade | Exceptional 98.7% | Exceptional 97.9% |
5th Grade | Exceptional 98.6% | Exceptional 97.7% |
6th Grade | Exceptional 98.5% | Exceptional 97.5% |
7th Grade | Exceptional 97.4% | Exceptional 96.6% |
8th Grade | Exceptional 97.2% | Exceptional 96.4% |
9th Grade | Exceptional 96.4% | Exceptional 95.7% |
10th Grade | Exceptional 95.5% | Exceptional 94.9% |
11th Grade | Exceptional 94.2% | Exceptional 94.0% |
12th Grade, No Diploma | Exceptional 92.8% | Exceptional 93.0% |
High School Diploma | Exceptional 91.2% | Exceptional 91.2% |
GED/Equivalency | Exceptional 87.4% | Exceptional 88.4% |
College, Under 1 year | Good 66.0% | Exceptional 70.3% |
College, 1 year or more | Average 59.5% | Exceptional 64.6% |
Associate's Degree | Fair 45.9% | Exceptional 51.4% |
Bachelor's Degree | Fair 37.0% | Exceptional 42.7% |
Master's Degree | Fair 14.6% | Exceptional 17.2% |
Professional Degree | Fair 4.3% | Exceptional 5.4% |
Doctorate Degree | Good 1.9% | Exceptional 2.3% |
Welsh vs Bhutanese Disability
When considering disability, the most significant differences between Welsh and Bhutanese communities in the United States are seen in disability age under 5 (1.6% compared to 1.2%, a difference of 39.3%), disability age 5 to 17 (6.3% compared to 4.9%, a difference of 27.9%), and disability age 35 to 64 (12.4% compared to 9.8%, a difference of 26.2%). Conversely, both communities are more comparable in terms of disability age over 75 (47.0% compared to 47.1%, a difference of 0.28%), cognitive disability (17.0% compared to 16.6%, a difference of 2.6%), and self-care disability (2.5% compared to 2.4%, a difference of 3.5%).
Disability Metric | Welsh | Bhutanese |
Disability | Tragic 12.9% | Exceptional 11.2% |
Males | Tragic 12.7% | Excellent 11.0% |
Females | Tragic 13.1% | Exceptional 11.5% |
Age | Under 5 years | Tragic 1.6% | Exceptional 1.2% |
Age | 5 to 17 years | Tragic 6.3% | Exceptional 4.9% |
Age | 18 to 34 years | Tragic 7.7% | Exceptional 6.2% |
Age | 35 to 64 years | Tragic 12.4% | Exceptional 9.8% |
Age | 65 to 74 years | Fair 23.7% | Exceptional 21.5% |
Age | Over 75 years | Excellent 47.0% | Good 47.1% |
Vision | Tragic 2.3% | Exceptional 2.0% |
Hearing | Tragic 3.7% | Tragic 3.2% |
Cognitive | Exceptional 17.0% | Exceptional 16.6% |
Ambulatory | Tragic 6.5% | Exceptional 5.8% |
Self-Care | Average 2.5% | Exceptional 2.4% |