How much do retail salespersons make?

What the national Retail Salespersons median says

The May 2025 BLS OEWS estimate puts the U.S. median for Retail Salespersons at $35,410 per year. Median means the middle. Half of the wage values used for this estimate fall below that point. Half fall above it. The median is not one worker's pay. It is not a job offer. It is one clear mark for the middle of a broad national pay range.

BLS also lists 3,897,860 wage and salary jobs for Retail Salespersons. That count covers jobs in the survey's scope. It does not count open job ads. It also leaves out people who work for themselves. The wage and job counts share the same May 2025 reference point, so they can be read together without mixing time periods.

The Retail Salespersons mean of $37,310 per year is 5.4% above the $35,410 median on the same published median. Mean means BLS adds the wage values and divides the total by the number of jobs behind the estimate. A gap between mean and median shows that the shape is not even. It does not explain the cause of the gap.

The fields that make SOC 41-2031 its own page

BLS names this record Retail Salespersons and gives it SOC 41-2031. The two-part code is the stable key for this page. A role with a close name keeps a different code, wage row, job count, and area pattern. WageScope never joins two SOC records because their words sound alike.

For SOC 41-2031, the U.S. row reports 3,897,860 wage and salary jobs. Its annual median is $35,410 per year. Its matching mean is $37,310 per year. These facts come from one national row and one May 2025 release.

SOC 41-2031 appears in 54 state or territory rows. It also has 393 metro rows and 137 nonmetro rows. A missing local row stays missing. We do not fill it with U.S. data or data for a similar job code.

• SOC 41-2031 10th percentile: $27,210 per year.
• SOC 41-2031 25th percentile: $29,900 per year.
• SOC 41-2031 median: $35,410 per year.
• SOC 41-2031 75th percentile: $38,670 per year.
• SOC 41-2031 90th percentile: $47,890 per year.
• SOC 41-2031 employment RSE: 0.3%. Mean-wage RSE: 0.2%.
• SOC 41-2031 has no national suppression mark in the fields shown on this page.

Read the Retail Salespersons wage ladder from low to high

The 10th percentile is $27,210 per year. The 25th percentile is $29,900 per year. The median is $35,410 per year. The 75th percentile is $38,670 per year. The 90th percentile is $47,890 per year. Each point marks a place in the same national wage spread.

A percentile is a rank point. It is not a career step. For example, the 10th percentile means 10% of wage values are at or below that mark. It does not mean a new worker starts there. The 90th percentile means 90% are at or below that mark. It does not mean a worker can reach it after a set number of years.

The middle half runs from $29,900 to $38,670 per year. That span is $8,770. The full 10th-to-90th span is $20,680. These spans show why one median cannot stand in for every Retail Salespersons job.

What the gaps around the Retail Salespersons median show

The median is 30.1% above the 10th percentile. The 90th percentile is 35.2% above the median. The two sides do not have to match. A wider upper side can pull the mean up. A wider lower side can pull it down. The data shows the shape, but not the reason for that shape.

The 25th-to-median step is $5,510 per year. The median-to-75th step is $3,260 per year. These two steps give a closer look at the middle half. They are often more useful than a single top-to-bottom gap because they keep the center in view.

Use this ladder as a fact check when you read a job post. A posted range can sit below, near, or above these BLS marks. That does not make the post wrong. A job may differ by place, hours, level, field, employer, or work rules. Keep the posted range tied to that listing. Keep the BLS range tied to the whole occupation.

Metro areas with the highest published Retail Salespersons medians

WageScope found 393 metro rows with the same published annual median for Retail Salespersons. It sorts only those rows. It does not fill a blank row. It does not turn a blank into zero. The first six rows below have the highest published medians in this release. The list is a wage rank, not a rank of places to live or work.

The first row is San Jose-Sunnyvale-Santa Clara, CA, at $44,220 per year. The middle metro row by published pay is Topeka, KS, at $32,820 per year. That middle metro mark gives one more check on how far the top rows sit from a common place in the set.

These are nominal wages. Nominal means the dollar amount shown in the source. This list does not adjust for local price levels. It also does not tell us how many openings an area has now. Use a local page to see price-level context when an exact BEA row exists. Use the separate job block to inspect current employer-title matches.

• 1. San Jose-Sunnyvale-Santa Clara, CA has a Retail Salespersons median of $44,220 per year, or $8,810 above the U.S. Retail Salespersons median. BLS lists 18,340 jobs there, against 3,897,860 across the U.S. The local location quotient is 0.64.
• 2. San Francisco-Oakland-Fremont, CA has a Retail Salespersons median of $43,850 per year, or $8,440 above the U.S. Retail Salespersons median. BLS lists 39,460 jobs there, against 3,897,860 across the U.S. The local location quotient is 0.66.
• 3. Seattle-Tacoma-Bellevue, WA has a Retail Salespersons median of $42,080 per year, or $6,670 above the U.S. Retail Salespersons median. BLS lists 46,620 jobs there, against 3,897,860 across the U.S. The local location quotient is 0.89.
• 4. Napa, CA has a Retail Salespersons median of $40,780 per year, or $5,370 above the U.S. Retail Salespersons median. BLS lists 2,150 jobs there, against 3,897,860 across the U.S. The local location quotient is 1.1.
• 5. Kahului-Wailuku, HI has a Retail Salespersons median of $39,630 per year, or $4,220 above the U.S. Retail Salespersons median. BLS lists 2,510 jobs there, against 3,897,860 across the U.S. The local location quotient is 1.36.
• 6. Santa Rosa-Petaluma, CA has a Retail Salespersons median of $39,570 per year, or $4,160 above the U.S. Retail Salespersons median. BLS lists 5,720 jobs there, against 3,897,860 across the U.S. The local location quotient is 1.11.

Metro areas with the largest Retail Salespersons job estimates

A large wage can appear in a small job market. A large job market can have a lower wage. That is why WageScope keeps pay and job count in separate views. The six rows below have the largest published employment estimates for Retail Salespersons among metro rows in this release. Employment means the number of wage and salary jobs in scope. It does not mean open roles.

New York-Newark-Jersey City, NY-NJ has the largest listed metro estimate in this set, at 202,080 jobs. Its median is $38,280 per year. Compare that with San Jose-Sunnyvale-Santa Clara, CA, which leads the published median list. The leaders may match, or they may not. Each list answers a different question.

Job count can help you see the scale of a local labor market. It cannot show churn, new hiring, job quality, remote work, or the chance that one person will get hired. Current listings add a second view, but they are a dated sample of posts. WageScope never turns the listing count into a demand score.

• 1. New York-Newark-Jersey City, NY-NJ has 202,080 estimated Retail Salespersons jobs. That is 5.2% of the U.S. estimate of 3,897,860 jobs. Its median is $38,280 per year, or $2,870 above the U.S. Retail Salespersons median. Its location quotient is 0.85.
• 2. Los Angeles-Long Beach-Anaheim, CA has 130,650 estimated Retail Salespersons jobs. That is 3.4% of the U.S. estimate of 3,897,860 jobs. Its median is $37,700 per year, or $2,290 above the U.S. Retail Salespersons median. Its location quotient is 0.83.
• 3. Dallas-Fort Worth-Arlington, TX has 100,340 estimated Retail Salespersons jobs. That is 2.6% of the U.S. estimate of 3,897,860 jobs. Its median is $33,400 per year, or $2,010 below the U.S. Retail Salespersons median. Its location quotient is 0.99.
• 4. Chicago-Naperville-Elgin, IL-IN has 96,950 estimated Retail Salespersons jobs. That is 2.5% of the U.S. estimate of 3,897,860 jobs. Its median is $35,820 per year, or $410 above the U.S. Retail Salespersons median. Its location quotient is 0.86.
• 5. Miami-Fort Lauderdale-West Palm Beach, FL has 91,370 estimated Retail Salespersons jobs. That is 2.3% of the U.S. estimate of 3,897,860 jobs. Its median is $34,330 per year, or $1,080 below the U.S. Retail Salespersons median. Its location quotient is 1.29.
• 6. Atlanta-Sandy Springs-Roswell, GA has 84,970 estimated Retail Salespersons jobs. That is 2.2% of the U.S. estimate of 3,897,860 jobs. Its median is $32,850 per year, or $2,560 below the U.S. Retail Salespersons median. Its location quotient is 1.17.

Where Retail Salespersons has a larger share of local jobs

Location quotient is a share check. A value of 1 means the role has the same share of local jobs as it has across the nation. A value above 1 means the local share is larger. A value below 1 means the local share is smaller. It is not a count. It is not a wage. It does not say that a place is growing.

Arecibo, PR has the highest published location quotient in this bounded metro set, at 2.59. The same row lists 2,260 jobs and a median of $22,390 per year. Reading all three values keeps a high share from being mistaken for a large market or high pay.

A small area can have a high location quotient because the role makes up a large part of a small local job base. A large area can have many workers and a lower quotient. Use the quotient to ask where the role is common in the mix. Use employment to ask how many jobs BLS estimated. Use the wage fields to ask what the published pay range looks like.

• 1. Arecibo, PR has a Retail Salespersons location quotient of 2.59. BLS lists 2,260 jobs and a median of $22,390 per year, or $13,020 below the U.S. Retail Salespersons median. The U.S. job estimate is 3,897,860.
• 2. Ponce, PR has a Retail Salespersons location quotient of 2.25. BLS lists 3,580 jobs and a median of $22,030 per year, or $13,380 below the U.S. Retail Salespersons median. The U.S. job estimate is 3,897,860.
• 3. Aguadilla, PR has a Retail Salespersons location quotient of 2.17. BLS lists 2,660 jobs and a median of $21,950 per year, or $13,460 below the U.S. Retail Salespersons median. The U.S. job estimate is 3,897,860.
• 4. Myrtle Beach-Conway-North Myrtle Beach, SC has a Retail Salespersons location quotient of 2.12. BLS lists 7,780 jobs and a median of $29,320 per year, or $6,090 below the U.S. Retail Salespersons median. The U.S. job estimate is 3,897,860.
• 5. Guayama, PR has a Retail Salespersons location quotient of 2.09. BLS lists 650 jobs and a median of $22,190 per year, or $13,220 below the U.S. Retail Salespersons median. The U.S. job estimate is 3,897,860.
• 6. Daphne-Fairhope-Foley, AL has a Retail Salespersons location quotient of 2.08. BLS lists 4,550 jobs and a median of $29,600 per year, or $5,810 below the U.S. Retail Salespersons median. The U.S. job estimate is 3,897,860.

How Retail Salespersons sits in Sales and Related

Retail Salespersons is SOC 41-2031. BLS places it in the Sales and Related major group. Among 22 detailed roles in that group with a published annual median, Retail Salespersons ranks 21 of 22 by median. This is a pay rank inside one source family. It is not a rank of skill, value, status, or career fit.

The closest same-family medians help set a fair peer frame. They do not claim that the work is the same. Official SOC titles can cover different tasks and settings. WageScope uses the family only because BLS publishes that link. It does not infer a career move, a skill match, or a hiring path from the wage gap.

Use these peer rows to spot whether the $35,410 median sits near many family roles or far from them. Then open a role's own page before using its number. Each role has a different code, job count, wage spread, and place pattern. One family label does not erase those facts.

• 1. Telemarketers, SOC 41-9041, has a U.S. median of $35,450 per year. Its gap from Retail Salespersons is $40 per year.
• 2. Gambling Change Persons and Booth Cashiers, SOC 41-2012, has a U.S. median of $36,220 per year. Its gap from Retail Salespersons is $810 per year.
• 3. Cashiers, SOC 41-2011, has a U.S. median of $32,880 per year. Its gap from Retail Salespersons is $2,530 per year.
• 4. Parts Salespersons, SOC 41-2022, has a U.S. median of $38,630 per year. Its gap from Retail Salespersons is $3,220 per year.
• 5. Demonstrators and Product Promoters, SOC 41-9011, has a U.S. median of $39,320 per year. Its gap from Retail Salespersons is $3,910 per year.
• 6. Counter and Rental Clerks, SOC 41-2021, has a U.S. median of $41,300 per year. Its gap from Retail Salespersons is $5,890 per year.

How much care to use with the Retail Salespersons estimate

The relative standard error for the job count is 0.3%. For the mean wage it is 0.2%. This measure, called RSE, shows survey precision. A smaller RSE often means less uncertainty from the sample. It does not tell you whether one person's pay is right or wrong.

The employment RSE applies to the 3,897,860 job estimate. The mean-wage RSE applies to the published mean of $37,310 per year. These fields do not give a matching RSE for the median or each percentile. WageScope shows the fields BLS published and does not move one RSE to another measure.

Survey values can change when BLS changes its methods, sample, models, or source year. That is why we show May 2025 on this page. Before we use a new release, we check its files, rows, and pages. A changed number is only a correction if the source calls it one.

A simple way to compare Retail Salespersons across places

First, compare the same wage metric. Use annual with annual or hourly with hourly. Next, check the source date. Keep May 2025 BLS rows together. Then read employment and location quotient beside pay. This stops a high median from standing in for market size or local share. Last, add BEA price-level context only when the exact place has an approved row.

A state, metro, and nonmetro area are not the same kind of map. Do not rank them in one list without saying so. WageScope groups like with like. It also keeps a national row as a broad bench mark. A local page can show the local row, its state row when that link is exact, and the U.S. row without blending them.

If a value is blank, keep it blank. If BLS marks a top code, read it as a lower bound. Do not fill a blank from a nearby place. Do not turn a wage gap into a claim about taxes, hours, benefits, work rules, or a household budget. Those facts are not in the OEWS row.

Move from Retail Salespersons wage data to one real listing

The job block on this page uses a strict employer-title match for Retail Salespersons. It may show fewer rows than the full MeritLog job search. That is on purpose. A false negative is safer here than a job card for a different role. Each card keeps its employer, place, source, and seen date. The cards do not change the BLS wage data.

Open one listing and read its own pay, work place, level, and needs. Compare its posted range with the BLS spread only as context. A posted range is set by an employer for one role. The BLS range is a survey view across many jobs. Neither source proves that a person is fit for the work.

When you tailor a résumé, use work facts you can back up. Do not turn $35,410 into a skill or result. Do not copy a BLS job count into your work history. MeritLog can help shape confirmed experience for a chosen listing. The wage page stays public and read only. It does not save a job or create a résumé on page load.

What this Retail Salespersons page does not claim

This page does not say what one Retail Salespersons worker earns. It does not promise that a job pays the median. It does not state a starting wage. It does not explain why the mean and median differ. It does not add benefits, tips, stock, bonus pay, taxes, or work hours unless BLS includes them in the published wage measure.

The page does not count people who work for themselves. It does not turn 3,897,860 into current openings. It does not read private MeritLog jobs or Career Memory. MeritLog does not use the page to build a private career profile. While public analytics are on, GA4, Ahrefs, and Meta may get this page's URL. Use Your Privacy Choices or Global Privacy Control to turn that off. The page does not send its text to a model.

The best use is narrow and clear. Read the May 2025 BLS wage range. Check how the role changes by place. Add the separate 2024 BEA price level when an exact row exists. Inspect a dated employer-title match. Then make a résumé choice from facts you have confirmed. Keep each source tied to the question it can answer.