Brown Deer-Milwaukee County Wisconsin Income Charts

This section shows the Brown Deer-Milwaukee County Wisconsin economy using the most recent economic analysis from the 2019 Census Bureau. Starting with Figure 1 which shows the median earnings per worker, Brown Deer-Milwaukee County shows it has a median earnings per worker of $50,603 which is the second smallest in terms of median earnings per worker of all the other places in the local area. The city with the highest median earnings per worker in the area is River Hills which depicts a median earnings of $97,500 (about twice as large). Comparing median earnings per worker to the United States average of $47,712, Brown Deer-Milwaukee County is 6.1% larger. Also, compared with the state of Wisconsin, median earnings per worker of $46,855, Brown Deer-Milwaukee County is 8.0% larger.

In Figure 2 a more complete view of income is shown which aggregates income from all members in the household and it has a median household income of $61,616 which is the second smallest as measured by median household income of all the other places in the surrounding region. The city with the highest median household income in the area is River Hills which shows a median income of $160,417 (approximately 2.6 times bigger). Comparing median household income to the United States average of $60,293, Brown Deer-Milwaukee County is only slightly larger. Also, measured against the state of Wisconsin, median household income of $59,209, Brown Deer-Milwaukee County is only about 4.1% larger.

The next section examines a variety of different income statistics for the Brown Deer-Milwaukee County metropolitan area. In Figure 3 we see that it has the percentage of earnings less than $10,000 in the middle range of other places in the local area at 14.2% of the total. Second, it has the largest proportion of earnings between $20,000 and $49,999 at 35.1% of the total and is ranked #1. Third, it has the largest proportion of earnings between $50,000 and $74,999 at 27.6% of the total and is ranked #1. Also, it has the second smallest in terms of median earnings of less than $10,000 of all the other places in the local area when ranked by earnings of $100,000 more at 3.1% of the total.

Figure 5 has the Average number of hours worked in a typical work week during the year, it has an average hours of 37.5 which is the second smallest in order of average hours of all the other places in the metropolitan area. The city with the highest average hours in the area is River Hills which shows an average hours of 42.0 (12.0% larger). Dividing median annual worker earnings by the average number of hours worked in a year in Figure 6 shows that it has an average hourly earnings of $25.95 which is the second smallest in terms of average hourly earnings of all the other places in the area. The city with the highest average hourly earnings in the area is Mequon which shows an average hourly earnings of $44.91 (73.0% larger). Comparing average hourly earnings to the United States average of $23.71, Brown Deer-Milwaukee County is 9.5% larger. Also, measured against the state of Wisconsin, average hourly earnings of $23.34, Brown Deer-Milwaukee County is 11.2% larger.

Figure 7 examines the number of self employed people in the Brown Deer-Milwaukee County metro area based on the number of people who reported any self employment income. Brown Deer-Milwaukee County depicts it has a percentage of people self employed of 6.7% which is the second smallest in order of percentage of people self employed of all the other places in the local area. The city with the highest percentage of people self employed in the area is Bayside which shows a percentage self employed of 15.2% (approximately 2.3 times bigger).

Turning our attention to Figure 8, the median household income by age group, it has the largest proportion of median income-under 25 years at $60,481 of the total and is ranked #1. Second, it has the second smallest in terms of median income for those under 25 years of age of all the other places in the surrounding region in terms of median income-25 to 44 years at $68,720 of the total. Third, it has the second smallest when sorted by median income for those under 25 years of age of all the other places in the area when ranked by median income-45 to 64 years at $66,875 of the total. Also, it has the second smallest in terms of median income for those under 25 years of age of all the other places in the metro area in order of median income-65 years and over at $40,551 of the total.

Figure 9 breaks down the source of income and Brown Deer-Milwaukee County has the largest proportion of social security at 11.3% of the total and is ranked #1. Second, it has the largest proportion of public assistance and ssi at 1.1% of the total and is ranked #1.

The next chart (Figure 11) shows the percentage of households that had retirement income over the last 12 months and it has a households with retirement income of 24.0% which is ranked #1 of all places in the greater region.

In the next chart, Figure 12, the median family income is shown for families broken down by racial group and has the percentage of overall family income the second smallest in terms of overall family income of all the other places in the area at $76,354 of the total. Second, it has the second smallest as measured by overall family income of all the other places in the area in order of white family income at $82,043 of the total. Third, it has one of the largest proportions of black family income at $66,042 of the total and is ranked #3. Only #2 Glendale ($94,167), and #1 Mequon ($215,250) are larger. Also, it has the second smallest as measured by overall family income of all the other places in the local area as measured by asian family income at $77,422 of the total.

Figure 13 shows the cost of living and other consumer spending categories for a variety of cost components from the Bureau of Labor Statistics. Brown Deer-Milwaukee County shows it has the hightest cost of 108.1 for the cost of healthcare category.

Brown Deer-Milwaukee County Wisconsin Labor Force Charts

The next two charts look at very recent, monthly trended employment related performance using data estimated by economists at the Bureau of Labor Statistics (BLS). The BLS tracks unemployment statistics for a large number of areas throughout the country on a month to month basis. However, not every location in the U.S. is tracked by the BLS so the chart will only show the closest location available (which may be the same location.) Figure 14 shows the monthly unemployment rate for the area as well as a comparison to the overall national economy measure for the United States. Note that in March to April 2020, the Covid 19 recession or great recession occurred and affects this metric. It shows that from February 2010 to before the disasterous Covid-19 virus Pandemic the monthly unemployment rate went from 8.1% to 2.7% in December 2019. This represents a decrease in the monthly unemployment rate of 66.7%. Since that time, the monthly unemployment rate has gone to 2.7% This represents an increase in the monthly unemployment rate of very little. In Figure 15 the monthly labor force participation which are people actively looking for work are also defined as unemployed but do not include people who have given up looking for work. It depicts that from January 2010 to before the disasterous COVID-19 Pandemic the monthly labor force participation went from 19,379 to 20,684 in November 2019. This represents an increase in the monthly labor force participation of 6.7%. Since that time, the monthly labor force participation has gone to 20,684 This represents an increase in the monthly labor force participation of very little.

The next two charts look at the annual unemployment rate/eligible for unemployment benefits and is based on the American Community survey. Figure 16 shows Brown Deer-Milwaukee County depicts it has an unemployment rate of 3.2% which is the largest of all places in the greater Brown Deer-Milwaukee County region. Figure 17 shows the labor force participation using the estimated percentage of people either working or actively looking for work. Brown Deer-Milwaukee County depicts it has a participation rate of 61.6% which is in the middle range of other places in the local area.

The Components of Employment Status graph in Figure 18 shows the composition of the labor force broken down by employed, unemployed, and not in the labor force (but 16 years of age or older). Brown Deer-Milwaukee County has the largest proportion of unemployed at 3.2% of the total and is ranked #1.

The percentage of full-time workers are compared to the number of part-time workers in Figure 19. Brown Deer-Milwaukee County depicts full time employees approximately 3.2 times bigger as the part time employees.

The next employment related data item is shown in Figure 21 which is the percentage of families with only a single earner in the greater Brown Deer-Milwaukee County area. Brown Deer-Milwaukee County shows it has a families with a single earner of 14.7% which is the second smallest when ranked by families with a single earner of all the other places in the surrounding region. The city with the highest families with a single earner in the area is River Hills which shows a single earners rate of 40.5% (approximately 2.8 times bigger). The percentage of families with no one working is depicted in Figure 22. Brown Deer-Milwaukee County shows it has a families with no one working of 22.5% which is the most of all places in the greater Brown Deer-Milwaukee County region.

Brown Deer-Milwaukee County Wisconsin Poverty Charts

The next section details economy analysis about poverty for residents of the Brown Deer-Milwaukee County community. This performance can be enhanced by government programs such as economic opportunity zone to influence manufacturing, job growth, economic opportunity an hopefully lead to economic recovery after the recent Covid 19 recession. In Figure 23 the total number of people earning less than the poverty level are shown. Brown Deer-Milwaukee County shows it has a total people earning less than the poverty level of 1,212 which is more than all other places in the greater Brown Deer-Milwaukee County region.

In Figure 24 the percentage of people earning less than the poverty level is shown and compared across the group of places. Brown Deer-Milwaukee County shows it has a percent of people earning less than the poverty level of 10.1% which is the highest of all places in the greater Brown Deer-Milwaukee County region.

In Figure 25 people who are in poverty are broken out by age group. Brown Deer-Milwaukee County has one of the largest proportions of person in poverty 18 to 34 years at 31% of the total and is ranked #2. The only larger city being Glendale with 33%. Second, it has in the mid range of other places in the local area when sorted by person in poverty 65+ years at 13% of the total.

The next chart, Figure 26, shows the percentage of people in poverty by racial group. Brown Deer-Milwaukee County has the largest proportion of white poverty rate at 7% of the total and is ranked #1. Second, it has one of the largest proportions of american indian poverty rate at 36% of the total and is ranked #2. The only larger city being Bayside with 100%. Third, it has in the middle range of other places in the local area as measured by hispanicp poverty rate at 4% of the total.

Figure 27 shows key poverty statistics for groups based on marriage status. Brown Deer-Milwaukee County has the largest proportion of married with children and in poverty at 6% of the total and is ranked #1.

The next chart looks at the percentage of people in poverty based on their education level in Figure 28 marriage status. Brown Deer-Milwaukee County has the largest proportion of has some college and in poverty at 13% of the total and is ranked #1. Second, it has the largest proportion of college graduate and in poverty at 9% of the total and is ranked #1. Figure 29 looks at only those people who make less than the poverty level of income and breaks down there employment status. Brown Deer-Milwaukee County has the percentage of people who are in poverty and employed less than most other places in the metro area at 10.6% of the total. Additionally, Figure 30 looks at the percentage of people who receive some form of public assistance including general assistance, temporary assistance or food stamps (i.e. SNAP.) Brown Deer-Milwaukee County indicates it has a households with public assistance of 9.9% which is the highest of all places in the greater Brown Deer-Milwaukee County region.

Figure 31 shows the "Gini Index of Income Inequality" with a range from zero (perfect equality) to one (perfect inequality). Brown Deer-Milwaukee County shows it has a the gini index of 38.6% which is the second smallest when sorted by the gini index of all the other places in the greater region.

Brown Deer-Milwaukee County Wisconsin Work Commute Charts

The following set of charts detail a variety of metrics that have economic impact, economic grow factors and economic development metrics in the Brown Deer-Milwaukee County community and has an impact on other factors such as economic growth, population growth, economic recovery, job growth, etc.. Figure 32 shows a high level view of how the population commutes to work (including the percent of people who work from home.) Brown Deer-Milwaukee County has the largest proportion of people who drive a car or motorcycle to work at 92% of the total and is ranked #1. Second, it has the largest proportion of people who take public transportation to work at 2% of the total and is ranked #1. Figure 33 shows a more detailed view of how the population commutes to work for (for example to downtown Brown Deer-Milwaukee County or elsewhere.) Brown Deer-Milwaukee County has the largest proportion of people who carpooled at 8% of the total and is ranked #1. Second, it has the largest proportion of people who take the bus at 2% of the total and is ranked #1.

In Figure 35 is shown a frequency distribution of the time that people leave for work. Brown Deer-Milwaukee County has the largest proportion of people who leave for work between 12am to 5am at 4% of the total and is ranked #1. Second, it has the largest proportion of people who leave for work between 530 am to 6am at 5% of the total and is ranked #1. Third, it has the largest proportion of people who leave for work between 10am to 11am at 5% of the total and is ranked #1.

The next graph in Figure 36 shows the average number of minutes that it takes for people to commute to work. Brown Deer-Milwaukee County has the largest proportion of people with commute time of less than 5 minutesutes at 3% of the total and is ranked #1. Second, it has one of the largest proportions of people with commute time between 5 to 9 minutes at 14% of the total and is ranked #3. Only #2 Fox Point (15%), and #1 Glendale (15%) are larger.

The average commute time is shown in Figure 37. Brown Deer-Milwaukee County depicts it has an average commute time of 21 which is less than most other places in the local area. Figure 38 shows the difference between male versus female commuting time. Brown Deer-Milwaukee County shows average commute time in minutes for men 21.5% larger as the average commute time in minutes for women. Figure 40 shows the total number of vehicles available for transportation and Brown Deer-Milwaukee County has the largest proportion of 1 vehicle available at 22% of the total and is ranked #1. Second, it has in the mid range of other places in the surrounding region in order of 4 vehicles available at 6% of the total. Figure 41 shows the percentage of people who both work and live in the same city (town or place.) Brown Deer-Milwaukee County depicts it has a people who both work and live in the same city of 18% which is the third most people who both work and live in the same city of all other places in the greater Brown Deer-Milwaukee County region. The city with the highest people who both work and live in the same city in the area is Mequon which shows a people who both work and live in the same city of 26% (48.1% larger). Comparing people who both work and live in the same city to the United States average of 42%, Brown Deer-Milwaukee County is approximately half the size. Also, measured against the state of Wisconsin, people who both work and live in the same city of 40%, Brown Deer-Milwaukee County is approximately half the size.

Brown Deer-Milwaukee County Wisconsin Jobs Charts

The next to charts break out the median earnings for major job categories for men and women. Figure 46 shows the median earnings of men for the job categories. Brown Deer-Milwaukee County shows it has the hightest median earnings of $70,858 for the earnings-protective service occupations group. Similarly, Figure 47 shows the median earnings of women for the job categories and Brown Deer-Milwaukee County shows it has the hightest median earnings of $77,589 for the earnings-healthcare practitioners and tech occupations classification. The table in Figure 48, shows Brown Deer-Milwaukee County employment data in terms of job categories and salary data.

Brown Deer-Milwaukee County Wisconsin Self Employment Charts

Figure 49 shows economic activity in terms of the number of people who are self employed in incorporated local business by industry. Brown Deer-Milwaukee County depicts it has the hightest entrepreneurs of 48% for the self employed management, business, science, and arts businesses category.

Similar to the last chart is Figure 50 which shows the number of people who are self employed but in more detailed industry categories such as manufacturing, retail sales, residential real estate, commercial real estate, health care, exports/imports, and advanced industries, etc. Brown Deer-Milwaukee County depicts it has the hightest entrepreneurs of 45% for the self employed in professional, scientific, management, administrative services grouping.

In Figure 51 the average annual self employment/entrepreneur income is shown. Brown Deer-Milwaukee County depicts it has an average annual self employment income of $30,285 which is the second smallest when ranked by average annual self employment income of all the other places in the metro area. The city with the highest average annual self employment income in the area is River Hills which shows an average annual self employment income of $133,397 (approximately 4.4 times bigger). Comparing average annual self employment income to the United States average of $37,819, Brown Deer-Milwaukee County is about 24.9% smaller. Also, compared to the state of Wisconsin, average annual self employment income of $32,970, Brown Deer-Milwaukee County is about 8.9% smaller.

Figure 52 shows the difference between the number of self employed men and self employed women (i.e. entrepreneurs.) Brown Deer-Milwaukee County shows total number of self-employed men 73.7% larger as the total number of self-employed women.