Compare Occupations

	Cutters and Trimmers, Hand	Fabric and Apparel Patternmakers	Stone Cutters and Carvers, Manufacturing	Carpet Installers	Shoe and Leather Workers and Repairers	Tailors, Dressmakers, and Custom Sewers
SUMMARY	79% High Risk	53% Moderate Risk	65% High Risk	61% High Risk	69% High Risk	57% Moderate Risk
JOB SCORE	1.1/10	3.2/10	4.6/10	3.8/10	1.4/10	2.0/10
POLLING	59% (Moderate Risk, Based on 20 votes)	There hasn't been enough votes on this occupation yet	There hasn't been enough votes on this occupation yet	36% (Low Risk, Based on 54 votes)	51% (Moderate Risk, Based on 36 votes)	50% (Moderate Risk, Based on 130 votes)
GROWTH by year 2034	-18.1%	-10.2%	6.2%	-9.6%	-3.8%	-4.5%
WAGES	$38,800 or $18.65 per hour	$67,670 or $32.53 per hour	$45,690 or $21.96 per hour	$49,850 or $23.96 per hour	$35,950 or $17.28 per hour	$40,860 or $19.64 per hour
VOLUME as of 2024	7,070	2,860	34,750	14,980	7,640	16,290
SNOWFLAKE [?] 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.
DESCRIPTION	Use hand tools or hand-held power tools to cut and trim a variety of manufactured items, such as carpet, fabric, stone, glass, or rubber.	Draw and construct sets of precision master fabric patterns or layouts. May also mark and cut fabrics and apparel.	Cut or carve stone according to diagrams and patterns.	Lay and install carpet from rolls or blocks on floors. Install padding and trim flooring materials.	Construct, decorate, or repair leather and leather-like products, such as luggage, shoes, and saddles. May use hand tools.	Design, make, alter, repair, or fit garments.

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Automation Risk

Each occupation shows a probability of automation. A higher score means machines and algorithms are more likely to take over the role in the future.

Job Score

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Polling Data

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Growth & Wages

See how fast each occupation is projected to grow and what people earn on average. High wages don’t always mean high security — automation risk still matters.

Volume of Workers

Explore how many people currently work in each occupation and in which year the data was recorded. Popularity can affect how disruptive automation will be for the wider economy.

The Snowflake Diagram

Each snowflake visualises the balance between automation risk, wages, growth, and job volume. Bigger and greener areas mean stronger performance in that dimension.

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