Moose Pass CDP Alaska Income Charts

This section shows the Moose Pass CDP Alaska economy using the most recent economic analysis from the 2022 Census Bureau. Starting with Figure 1 which shows the median earnings per worker, Moose Pass CDP shows it has a Median earnings of $62,772 which is the third most of all other places in the greater region. The place with the highest median earnings per worker in the area is Hope CDP which depicts a median earnings of $93,125 (48.4% larger). Comparing median earnings per worker to the United States average of $53,269, Moose Pass CDP is 17.8% larger. Also, benchmarked against the state of Alaska, median earnings per worker of $60,695, Moose Pass CDP is only about 3.4% 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 $84,148 which is the second most median income of all the places in the greater Moose Pass CDP region. The place with the highest median household income in the area is Cooper Landing CDP which shows a median income of $109,107 (29.7% larger). Comparing median household income to the United States average of $69,021, Moose Pass CDP is 21.9% larger. Also, benchmarked against the state of Alaska, median household income of $80,287, Moose Pass CDP is only about 4.8% larger.

The next section examines a variety of different income statistics for the Moose Pass CDP metropolitan area. In Figure 3 we see that it it has the largest proportion of earnings less than $10,000 at 9.3% of the total and is ranked #1. Second, it has one of the largest proportions of earnings between $15,000 and $19,999 at 44.1% of the total and is ranked #2. The only larger place being Primrose CDP with 78.3%.

Figure 5 has the Average number of hours worked in a typical work week during the year, it has a Avg Hours Worked of 33.9 which is in the middle range of other places in the area. The place with the highest average hours in the area is Seward which depicts an average hours of 42.1 (24.2% larger). Dividing median annual worker earnings by the average number of hours worked in a year in Figure 6 shows that it has a Avg Hrly Earnings of $35.61 which is more than all other places in the greater Moose Pass CDP region. Comparing average hourly earnings to the United States average of $26.40, Moose Pass CDP is 34.9% larger. Also, in comparison with the state of Alaska, average hourly earnings of $28.26, Moose Pass CDP is 26.0% larger.

Figure 7 examines the number of self employed people in the Moose Pass CDP metro area based on the number of people who reported any self employment income. Moose Pass CDP depicts it has a Self Employed of 36.9% which is ranked #1 of all places in the greater Moose Pass CDP region.

Turning our attention to Figure 8, the median household income by age group, it has one of the largest proportions of median income-25 to 44 years at $83,977 of the total and is ranked #2. The only larger place being Bear Creek CDP with $84,054.

Figure 9 breaks down the source of income and Moose Pass CDP has one of the largest proportions of self employment income at 31.3% of the total and is ranked #2. The only larger place being Cooper Landing CDP with 61.9%.

The next chart (Figure 11) shows the percentage of households that had retirement income over the last 12 months and it has a With Retirement Income of 60.4% which is the largest of all places in the greater Moose Pass CDP region.

In the next chart, Figure 12, the median family income is shown for families broken down by racial group and it has one of the largest proportions of overall family income at $83,977 of the total and is ranked #3. Only #2 Bear Creek CDP ($109,583), and #1 Cooper Landing CDP ($112,857) are larger.

Figure 13 shows the cost of living and other consumer spending categories for a variety of cost components from the Bureau of Labor Statistics. Moose Pass CDP shows it has the hightest cost of 135.7 for the cost of healthcare classification.

Moose Pass CDP Alaska Labor Force Charts

The next two charts look at 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 2022, the Covid 19 recession occurred and affects this metric. The monthly unemployment rate depicts that from February 2017 to before the COVID-19 Pandemic it went from 6.3% to 4.8% in December 2019. This represents a decrease in the monthly unemployment rate of 23.8%. Since that time, the monthly unemployment rate has gone to 4.8%. 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. The monthly labor force participation depicts that from January 2017 to before the disasterous Covid-19 virus Pandemic it went from 154,379 to 148,116 in November 2019. This represents a decrease in the monthly labor force participation of 4.1%. Since that time, the monthly labor force participation has gone to 148,116. This represents an increase in the monthly labor force participation of very little. Figure 17 shows the labor force participation using the estimated percentage of people either working or actively looking for work. Moose Pass CDP shows it has a Labor Force Participation of 85.7% which is more than all other places in the 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). Moose Pass CDP has the smallest proportion of unemployed at 14.3% of the total.

The percentage of full-time workers are compared to the number of part-time workers in Figure 19. Moose Pass CDP indicates full time employees about 14.3% smaller 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 Moose Pass CDP area. Moose Pass CDP depicts it has a Single Earner Families of 29.7% which is the second most of all the places in the area. The place with the highest families with a single earner in the area is Hope CDP which depicts a single earners rate of 65.2% (about twice as large).

Moose Pass CDP Alaska Poverty Charts

Figure 31 shows the "Gini Index of Income Inequality" with a range from zero (perfect equality) to one (perfect inequality). Moose Pass CDP depicts it has a Gini Index of 18.1% which is the second smallest as measured by the gini index of all the other places in the surrounding region.

Moose Pass CDP Alaska Work Commute Charts

Figure 33 shows a more detailed view of how the population commutes to work for (for example to downtown Moose Pass CDP or elsewhere.) Moose Pass CDP has the percentage of people who drove alone the second smallest as measured by people who drove alone of all the other places in the metro area at 37% of the total. Second, it has the largest proportion of people who carpooled at 42% of the total and is ranked #1.

In Figure 35 is shown a frequency distribution of the time that people leave for work. Moose Pass CDP has the largest proportion of people who leave for work between 530 am to 6am at 26% of the total and is ranked #1. Second, it has the largest proportion of people who leave for work between 630 am to 7am at 27% of the total and is ranked #1. Third, it has the largest proportion of people who leave for work between 730 am to 8am at 11% of the total and is ranked #1. Also, it has the largest proportion of people who leave for work between 9am to 10am at 23% 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. Moose Pass CDP has the percentage of people with commute time of less than 5 minutesutes in the middle range of other places in the greater region at 14% of the total. Second, it has one of the largest proportions of people with commute time between 10 to 14 minutes at 24% of the total and is ranked #2. The only larger place being Hope CDP with 33%. Third, it has one of the largest proportions of people with commute time between 40 to 44 minutes at 36% of the total and is ranked #2. The only larger place being Hope CDP with 67%. Also, it has the largest proportion of people with commute time between 45 to 59 minutes at 26% of the total and is ranked #1. Figure 40 shows the total number of vehicles available for transportation and Moose Pass CDP has one of the largest proportions of 1 vehicle available at 81% of the total and is ranked #3. Only #2 Cooper Landing CDP (100%), and #1 Crown Point CDP (100%) are larger. Second, it has the largest proportion of 2 vehicles available at 19% of the total and is ranked #1. Figure 41 shows the percentage of people who both work and live in the same city (town or place.) Moose Pass CDP depicts it has a Work in city or place where live of 20% which is the second smallest as measured by people who both work and live in the same city of all the other places in the greater region. The place with the highest people who both work and live in the same city in the area is Seward which shows a people who both work and live in the same city of 79% (approximately 3.9 times bigger). Comparing people who both work and live in the same city to the United States average of 44%, Moose Pass CDP is approximately half the size. Also, benchmarked against the state of Alaska, people who both work and live in the same city of 72%, Moose Pass CDP is approximately a third the size.

Moose Pass CDP Alaska Jobs Charts

The table in Figure 48, shows Moose Pass CDP employment data in terms of job categories and salary data.