Orange County Income Charts

This section shows the Orange County New York economy using the most recent economic analysis from the 2019 Census Bureau. Starting with Figure 1 which shows the median earnings per worker, Orange County shows it has a median earnings per worker of $55,188 which is less than most other counties in the metropolitan area. The county with the highest median earnings per worker in the area is Putnam County which depicts a median earnings of $65,908 (19.4% larger). Comparing median earnings per worker to the United States average of $47,712, Orange County is 15.7% larger. Also, measured against the state of New York, median earnings per worker of $nan, Orange County is very much bigger.

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 $76,716 which is less than most other counties in the local area. The county with the highest median household income in the area is Putnam County which indicates a median income of $102,186 (33.2% larger). Comparing median household income to the United States average of $60,293, Orange County is 27.2% larger. Also, in comparison with the state of New York, median household income of $nan, Orange County is markedly bigger.

The next section examines a variety of different income statistics for the Orange County metropolitan area. In Figure 3 we see that it has the percentage of earnings of $100,000 more less than most other counties in the local area at 13.8% 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 38.6 which is the second most average hours of all the counties in the greater Orange County region. The county with the highest average hours in the area is Bergen County which indicates an average hours of 38.8 ( about the same size). 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 $27.50 which is less than most other counties in the area. The county with the highest average hourly earnings in the area is Putnam County which shows an average hourly earnings of $33.01 (20.0% larger). Comparing average hourly earnings to the United States average of $23.71, Orange County is 16.0% larger. Also, benchmarked against the state of New York, average hourly earnings of $nan, Orange County is considerably bigger.

Figure 7 examines the number of self employed people in the Orange County metro area based on the number of people who reported any self employment income. Orange County depicts it has a percentage of people self employed of 8.5% which is the second smallest as measured by percentage of people self employed of all the other counties in the local area. The county with the highest percentage of people self employed in the area is Putnam County which shows a percentage self employed of 12.5% (46.7% larger).

Turning our attention to Figure 8, the median household income by age group, has the percentage of median income-under 25 years less than most other counties in the metro area at $31,696 of the total. Second, it has less than most other counties in the greater region in terms of median income-25 to 44 years at $77,839 of the total. Third, it has less than most other counties in the area when sorted by median income-45 to 64 years at $96,114 of the total. Also, it has less than most other counties in the greater region when ranked by median income-65 years and over at $51,177 of the total.

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 21.8% which is in the mid range of other counties in the area. The county with the highest households with retirement income in the area is Putnam County which depicts a households with retirement income of 25.0% (14.5% larger).

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 less than most other counties in the greater region at $93,694 of the total. Second, it has less than most other counties in the metro area in terms of white family income at $99,381 of the total. Third, it has less than most other counties in the local area in terms of black family income at $75,080 of the total. Also, it has one of the largest proportions of american indian family income at $75,652 of the total and is ranked #3. Only #2 Bergen County ($84,167), and #1 Rockland County ($137,426) are larger. In addition, it has less than most other counties in the metro area as measured by asian family income at $110,399 of the total. Furthermore, it has in the mid range of other counties in the metro area when ranked by hispanic family income at $75,233 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. Orange County depicts it has the hightest cost of 125.8 for the cost of housing category.

Orange County 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 depicts that from January 2010 to before the Coronavirus Pandemic the monthly unemployment rate went from 8.7% to 4.1% in March 2020. This represents a decrease in the monthly unemployment rate of 52.9%. Since that time, the monthly unemployment rate has gone to 6.4% This represents an increase in the monthly unemployment rate of 56.1%. 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 shows that from January 2010 to before the disasterous Covid-19 virus Pandemic the monthly labor force participation went from 179,603 to 183,813 in March 2020. This represents an increase in the monthly labor force participation of 2.3%. Since that time, the monthly labor force participation has gone to 176,509 This represents a decrease in the monthly labor force participation of 4.0%.

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 Orange County shows it has an unemployment rate of 3.1% which is the second smallest as measured by unemployment rate of all the other counties in the metro area. The county with the highest unemployment rate in the area is Sullivan County which depicts a rate of 4.5% (45.5% larger). Figure 17 shows the labor force participation using the estimated percentage of people either working or actively looking for work. Orange County depicts it has a participation rate of 64.1% which is less than most other counties in the local area.

The percentage of full-time workers are compared to the number of part-time workers in Figure 19. Orange County shows full time employees approximately 3.3 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 Orange County area. Orange County depicts it has a families with a single earner of 32.0% which is the second most families with a single earner of all the counties in the greater Orange County region. The county with the highest families with a single earner in the area is Rockland County which shows a single earners rate of 32.2% ( about the same size). The percentage of families with no one working is depicted in Figure 22. Orange County shows it has a families with no one working of 12.8% which is less than most other counties in the metro area. The county with the highest families with no one working in the area is Sullivan County which shows a families with no worker of 20.0% (56.4% larger).

Orange County Poverty Charts

The next section details economy analysis about poverty for residents of the Orange 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. Orange County shows it has a total people earning less than the poverty level of 43,543 which is in the mid range of other counties in the local area. The county with the highest total people earning less than the poverty level in the area is Passaic County which depicts a total people earning less than the poverty level of 82,823 (about twice as large).

In Figure 24 the percentage of people earning less than the poverty level is shown and compared across the group of places. Orange County depicts it has a percent of people earning less than the poverty level of 11.8% which is in the center range of other counties in the surrounding region. The county with the highest percent of people earning less than the poverty level in the area is Passaic County which shows a percent of people in poverty of 16.7% (41.2% larger).

In Figure 25 people who are in poverty are broken out by age group. Orange County has one of the largest proportions of person in poverty under 12 years at 29% of the total and is ranked #2. The only larger county being Rockland County with 36%. Second, it has the second smallest in order of person in poverty under 12 years of all the other counties in the greater region as measured by person in poverty 35 to 54 years at 19% of the total.

The next chart, Figure 26, shows the percentage of people in poverty by racial group. Orange County has the percentage of american indian poverty rate the second smallest as measured by white poverty rate of all the other counties in the metropolitan area at 12% of the total. Second, it has one of the largest proportions of hawaiian poverty rate at 38% of the total and is ranked #2. The only larger county being Putnam County with 100%.

Figure 27 shows key poverty statistics for groups based on marriage status. Orange County has one of the largest proportions of unmarried with children and in poverty at 34% of the total and is ranked #3. Only #2 Sullivan County (36%), and #1 Passaic County (43%) are larger. Second, it has one of the largest proportions of unmarried female with children and in poverty at 41% of the total and is ranked #3. Only #2 Sullivan County (41%), and #1 Passaic County (47%) are larger. Third, it has the second smallest when sorted by married with children and in poverty of all the other counties in the metro area when ranked by unmarried male with children and in poverty at 8% 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.) Orange County depicts it has a households with public assistance of 10.7% which is in the mid range of other counties in the local area. The county with the highest households with public assistance in the area is Passaic County which shows a households with public assistance of 20.0% (about twice as large).

Figure 31 shows the "Gini Index of Income Inequality" with a range from zero (perfect equality) to one (perfect inequality). Orange County depicts it has a the gini index of 43.8% which is less than most other counties in the surrounding region.

Orange County 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 Orange 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.) Orange County has the largest proportion of people who bicycle or walk to work at 4% 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 Orange County or elsewhere.) Orange County has the largest proportion of people who walked at 4% of the total and is ranked #1. Second, it has the largest proportion of people who took a taxicab, motorcycle or other 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. Orange County has one of the largest proportions of people who leave for work between 12am to 5am at 5% of the total and is ranked #2. The only larger county being Sullivan County with 6%. Second, it has the smallest proportion of people who leave for work between 830 am to 9am at 6% of the total.

The next graph in Figure 36 shows the average number of minutes that it takes for people to commute to work. Orange County has one of the largest proportions of people with commute time between 5 to 9 minutes at 10% of the total and is ranked #2. The only larger county being Sullivan County with 11%. Second, it has the largest proportion of people with commute time between 10 to 14 minutes at 14% of the total and is ranked #1. Third, it has the smallest proportion of people with commute time between 30 to 34 minutes at 10% of the total. Also, it has one of the largest proportions of people with commute time of 90 or more minutesutes at 9% of the total and is ranked #2. The only larger county being Putnam County with 9%.

The average commute time is shown in Figure 37. Orange County shows it has an average commute time of 33 which is the third most average commute time of all other counties in the greater Orange County region. Figure 38 shows the difference between male versus female commuting time. Orange County shows average commute time in minutes for men 46.1% larger as the average commute time in minutes for women. Figure 41 shows the percentage of people who both work and live in the same city (town or place.) Orange County shows it has a people who both work and live in the same city of 21% which is the third most people who both work and live in the same city of all other counties in the greater Orange County region. The county with the highest people who both work and live in the same city in the area is Sullivan County which depicts a people who both work and live in the same city of 28% (31.5% larger). Comparing people who both work and live in the same city to the United States average of 42%, Orange County is approximately half the size. Also, benchmarked against the state of New York, people who both work and live in the same city of nan%, Orange County is about the same size.

Orange County 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. Orange County shows it has the hightest median earnings of $97,420 for the earnings-healthcare practitioners and tech occupations group. Similarly, Figure 47 shows the median earnings of women for the job categories and Orange County shows it has the hightest median earnings of $75,402 for the earnings-protective service occupations category. The table in Figure 48, shows Orange County employment data in terms of job categories and salary data.

Orange County 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. Orange County shows it has the hightest entrepreneurs of 49% for the self employed management, business, science, and arts businesses grouping.

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. Orange County shows it has the hightest entrepreneurs of 20% for the self employed in professional, scientific, management, administrative services category.

In Figure 51 the average annual self employment/entrepreneur income is shown. Orange County shows it has an average annual self employment income of $42,954 which is in the middle range of other counties in the metro area. The county with the highest average annual self employment income in the area is Putnam County which shows an average annual self employment income of $59,014 (37.4% larger). Comparing average annual self employment income to the United States average of $37,819, Orange County is 13.6% larger. Also, compared with the state of New York, average annual self employment income of $nan, Orange County is appreciably bigger.

Figure 52 shows the difference between the number of self employed men and self employed women (i.e. entrepreneurs.) Orange County shows total number of self-employed men 61.8% larger as the total number of self-employed women.