Translator Salaries: Top Translator Salaries by Language and Where You Should Live to Make the Most Money Translating

This article is all about translator salaries and after reading this, you should have a good answer to the question, “how much do translators make.”

But first.

You probably have one of two motivations for becoming a translator:

It’s likely that you enjoy languages I’d guess you also want to make some money in exchange for you knowledge of those languages

Doing translation work fills the first need; becoming a successful professional translator fulfills the second. Of course, first you have to decide if becoming a translator is worth it.

That’s what this post is about.

Maximizing your potential for making money as a translator or language professional.

First, let’s talk about translation languages.

One of the most important factors determining how much money you make as a translator is your decision about which language(s) you should learn and translate to/from.

Let me be honest here.

In general, language combination affects translation salaries.

If you choose a poor language combination, you won’t be making as much as you could had you chosen a better language pair.

Translation Employment Outlook

Before getting into specific languages, though, let’s look at the general job prospects for translators in the United States as a whole.

According to the Bureau of Labor Statistics Occupational Outlook Handbook, 2014-2015 Edition, over 60,000 people in the U.S. were employed as translators or interpreters in the 2012.

According to the report, this number is currently set to grow 46% by 2020, when the projected employment for translators and interpreters will get to just under 93,000.

The average projected growth for all jobs is only 11%, so the 46% projected growth for the language field bodes well for translators and interpreters.

Translator Salaries

It’s one thing to know about projected growth in the industry which points to more job opportunities for beginning translators and interpreters. However, it doesn’t say anything about the kind of money translators and interpreters can make.

For that we can look at the Bureau of Labor Statistics Occupational Employment Statistics which was published in May 2014. These statistics provide a more complete breakdown of the translation and interpretation industry in the United States, complete with salary data.

First, look at the annual mean wage of translators and interpreters by state in May 2014:

Annual Mean Wage of Translators and Interpreters by State, May 2014

The darker shade of blue, the higher the annual mean wage. The five highest states, with their annual mean wages for translators and interpreters, are the following:

Top Five States With Highest Mean Wage for Translators and Interpreters

One thing to notice about this data is that the states with the highest annual mean wage are not necessarily the states with the highest population, which you might expect at first.

In fact, this is most definitely not the case. Check out the graphic below:

Employment of Interpreters and Translators by State, May 2014

The top 5 states with the highest employment of translators and interpreters are the following:

Top 5 States With Highest Number of Translators and Interpreters, May 2014

Out of the top 5 states in each category above, Virginia is the only state that has one of top 5 annual mean salaries as well as with one of the top employment numbers.

This is all fine and good to know, especially for in-house translators. In looking at the fine print of this data, we read the following:

Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.

It makes sense that if you’re an in-house translator, you will probably find higher employment numbers and higher mean wages in states that hire increased numbers of translators for both federal and state governments.

But what if you don’t want to be an in-house translator tied to a specific location and would rather work for yourself as a freelance translator?

Well, freelance translation, by its very nature, allows people to live where they want and then work globally. If that’s what you want, then, it shouldn’t matter where you live. You could live in a cabin in the woods of Montana or in the heart of New York City. If your clients are remote, they don’t care where you live, either.

Translator Salaries by Language

If your marketing is good and you can approach clients and sell your services well, and don’t forget the three lies about becoming a translator, one of the most important factors that will affect translation salaries is your language combination.

Choose wisely.

Here’s why.

Not all language combinations are created equally.

Some combinations earn more than others. Some can even earn up to $0.10 a word more than others. That’s a big difference in translation salaries over the long run and can really add up.

Take a 3,000 word document. If you’re earning $0.10 a word, you’ll earn $300. However, if you’re making $0.20 a word, you just doubled your earnings on that same document, bringing in $600.

Of course, translation salaries don’t always work like this.

Earning money from translation depends on two things:

Supply of translators with your language combination It’s simple economics. The more translators there are for your language combination, the less those translators (and you) will typically earn. The scarcer your language combination is, the more you can charge per word. Demand of your language combination Being able to translate from Xhosa into Uyghur might enable you to command a high price per word; however, there probably aren’t that many clients out there needing documents translated between those languages.

Less work usually means less money.

Take a look at this awesome graph I drew up in 13 seconds:

Competition and Demand for Translators

Guess where you want to be as a translator?

Yep, one of the top two sections:

a) High Demand + Low Competition

b) High Demand + High Competition

But first, let’s talk about the lower two sections.

Without demand for a given language combination, you are not going to make any money as a translator for those languages.

The Xhosa – Uyghur example previously mentioned would fit into the Low Demand + Low Competition category. Despite there being no competition, there is also no demand. You’re not going to get rich.

OK, so as a person thinking about learning a language and becoming a translator, you’re going to want to be in one of the top two quadrants, but preferably the top left one with high demand and low competition.

The question then becomes how to figure out which languages are going to be located in this quadrant.

Unfortunately, there isn’t that much data out there for you to figure out how to logically choose the best language for earning the most money.

Luckily, though, there are some metrics we can use to make some discoveries.

This is where oDesk comes in.

For those unaware, oDesk is a platform like eLance, where skill providers can bid on potential jobs posted by clients. While these types of websites aren’t ideal for translators (they stink, actually), they can provide some metrics in determining which languages are more in demand and which languages have more or less translators. (This definitely affects translation salaries.)

So here’s what I did. I took the top 9 most used languages (along with Swedish) on the Internet globally (Internet users by language), and then did a quick search to see how many jobs were needed for those languages.

Then I did a quick search to see how many translator providers there were for those languages.

Here were the results:

Languages (+English) # of Jobs # of Translators Chinese 411 4,647 Spanish 716 21,941 Japanese 285 4,067 Portuguese 240 6,374 German 484 10,407 Arabic 369 9,406 French 585 19,777 Russian 312 9,810 Korean 134 1,869 Swedish 109 2,137

I then normalized the numbers so they would be weighted equally and plotted them on a graph, overlaid on the demand and competition graph from above.

Here were the results:

Graph of Top Ten Internet Languages Correlated to Translation Demand and Competition

As you can see, Spanish and French top the list of the languages with the most competition but also the highest demand. At the other end of the spectrum, you have Korean and Swedish with lower demand but also with lower competition among translators. The sweet spot between all ten languages seems to be Chinese and Japanese.

Of course, it’s important to remember that these results come from a single data source and only include nine languages.

In addition, the data source is not one that is used by most successful translators. Most professionals that are pulling in good translator salaries are either doing in-house translation work or are working with direct clients.

Very few are bidding for jobs using online job boards.

But this metric can be useful. If you interested in becoming a translator but aren’t quite sure which language to pick, looking at this graph could help you decide where you want to place your efforts.

Are you OK with more competition but more demand? Choose Spanish and French.

Don’t want to fight over translation jobs? Japanese or maybe even Korean might be better suited for you.

ATA Language & Translation Data

Another source to look at when it comes to figuring out which language combinations command the highest return is a survey by the American Translators Association that it conducted in 2008.

ATA sent out an email survey to 8,700 ATA members and nonmembers in 2007. There was an %11 response rate, with ATA receiving back 979 completed surveys.

The survey attempted to extract demographic and translation-related information from the participants. One piece of information is especially relevant to this discussion.

Here is the paragraph from the report:

At an average of $0.19 per word, the language combinations commanding the highest rate per word were English into Arabic and English into Danish. At an average of $0.12 per word, the language combinations commanding the lowest rate were English into Italian and English into Portuguese. The highest average hourly rates by language combination were English into Chinese ($74.92) and Chinese into English ($65.79).

Both Arabic and Chinese are on the high end of translator salaries spectrum while Romance languages Portuguese and Italian were on the low end.

Of course, different translators have different experiences and there are plenty of anecdotal stories from translators claiming that one language combination is better paying than some other language combination.

The Effect of Specialization on Translation Salaries

OK, so we’ve talked about locations in the United States and corresponding translator salaries. We’ve realized that location can be important, but is not as important as language combination.

However, there’s one more thing to consider when trying to decide which language pair to learn (in order to maximize translator salaries), and that would be your area of specialization.

While having a language combination in the upper quadrants is a must for any freelance translator trying to make significant money, another important thing you can do is choose an area of specialization that is in high demand.

And what are those specializations, you might ask? Well, going back to the ATA compensations survey, we read that out of the nearly 1,000 survey respondents:

The most common areas of specialization reported were business/finance (57%), law (55%), medicine (47%), and industry and technology (38%). Uncommon areas of specialization included entertainment (18%), natural sciences (16%), and pure sciences (8%).

No surprisingly, this is also where the biggest demand for translators lies. If your area of specialization falls within the categories of business/finance, medicine, or industry and technology, you will be much better off than someone who either a) has an area of specialization so focused that there is no demand for it, or b) has no area of specialization at all and only focus on general translations.

Of course, it would be nice to have access to the raw data to do some additional queries. For example, do most Japanese/English translators work in a certain specialization? Drilling down to that level of granularity could give us even more information when choosing not only a language combination, but also an area to focus on.

P.S. Making an informed decision on language and specialization choice is the first step. Implementing a viable translation business is the next. For that, read about what you need to succeed as a freelance translator.

Share Instantly! Twitter

