Laborers and Freight, Stock, and Material Movers, Hand

Imminent Risk
88%

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Vote Comments (3)
AUTOMATION RISK
CALCULATED
100%
(Imminent Risk)
POLLING
77%
(High Risk, Based on 80 votes)
Average: 88%
LABOR DEMAND
GROWTH
4.2%
by year 2033
WAGES
$37,660
or $18.10 per hour
Volume
3,008,300
as of 2023
SUMMARY
What does this snowflake show?
The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes.
JOB SCORE
2.7/10
What's this?
Job Score (higher is better):

We rate jobs using four factors. These are:

- Chance of being automated
- Job growth
- Wages
- Volume of available positions

These are some key things to think about when job hunting.

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Calculated automation risk

100% (Imminent Risk)

Imminent Risk (81-100%): Occupations in this level have an extremely high likelihood of being automated in the near future. These jobs consist primarily of repetitive, predictable tasks with little need for human judgment.

More information on what this score is, and how it is calculated is available here.

Some quite important qualities of the job are difficult to automate:

  • Manual Dexterity

User poll

77% chance of full automation within the next two decades

Our visitors have voted that it's probable this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 100% chance of automation.

What do you think the risk of automation is?

What is the likelihood that Laborers and Freight, Stock, and Material Movers, Hand will be replaced by robots or artificial intelligence within the next 20 years?

Sentiment

The following graph is shown where there are enough votes to produce meaningful data. It displays user poll results over time, providing a clear indication of sentiment trends.

Sentiment over time (yearly)

Growth

Moderate growth relative to other professions

The number of 'Laborers and Freight, Stock, and Material Movers, Hand' job openings is expected to rise 4.2% by 2033

Total employment, and estimated job openings

* Data from the Bureau of Labor Statistics for the period between 2023 and 2033
Updated projections are due 09-2025.

Wages

Very low paid relative to other professions

In 2023, the median annual wage for 'Laborers and Freight, Stock, and Material Movers, Hand' was 37.660 $, or 18 $ per hour

'Laborers and Freight, Stock, and Material Movers, Hand' were paid 21.6% lower than the national median wage, which stood at 48.060 $

Wages over time

* Data from the Bureau of Labor Statistics

Volume

Significantly greater range of job opportunities compared to other professions

As of 2023 there were 3,008,300 people employed as 'Laborers and Freight, Stock, and Material Movers, Hand' within the United States.

This represents around 2.0% of the employed workforce across the country

Put another way, around 1 in 50 people are employed as 'Laborers and Freight, Stock, and Material Movers, Hand'.

Job description

Manually move freight, stock, luggage, or other materials, or perform other general labor. Includes all manual laborers not elsewhere classified.

SOC Code: 53-7062.00

Comments (3)

Joe
08 Mar 2023 05:22
The only warehouse job that's somewhat difficult to automate is picking. Every other job can be automated. It's just a matter of time.
Joe
02 Feb 2023 11:24
Amazon can literally use robots to automate their entire warehouse. The only thing robots somewhat struggle with is picking, but they improved dramatically over a few years. The only thing that can stop warehouses from becoming completely automated would be the cost of the robotics and the maintenance costs.
Sebastian Aguilar (Uncertain)
13 Sep 2019 17:56
With the industry, it could go either way since there will be the need to understand when physical eyes will need to be present to analyze the workplace. No majority of a population is going to change their career to engineering to be able to program every individual machine to perfection and eliminate that situation of environmental disaster.
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