Every career site publishes "fastest growing jobs" lists. They pull from the BLS Employment Projections and rank by projected growth rate. But they almost never answer the follow-up question: can you afford to live on that salary in the city where those jobs actually exist?
We paired the growth projections with actual wage data and affordability numbers. Here's what the combination reveals.
1. Nurse Practitioners — projected growth: 40%
The headline salary is excellent: $126,260 median nationally. But NP jobs cluster in healthcare hubs. The top five metros by NP employment are New York, Los Angeles, Chicago, Dallas, and Houston.
In New York, the NP median is $128,500 — but after New York State income tax and $2,400/month in rent, your monthly disposable income is $4,820. In Houston, the NP median is $118,600 (lower) — but after zero state tax and $1,280 rent, your disposable income is $5,690. Houston NPs take home $870 more per month on a salary that's $10K less.
2. Data Scientists — projected growth: 36%
Median salary: $108,020. But the concentration of data science jobs in high-cost metros is extreme. San Francisco, Seattle, New York, and Boston account for a disproportionate share. These are all RPP 115+ cities.
A data scientist earning $120K in Seattle keeps about $5,070/month after rent. The same role at $95K in Raleigh (RPP 100.1, rent $1,420) leaves $4,590. The gap is only $480/month despite a $25K salary difference. And Raleigh is growing its tech sector fast enough that data science opportunities are expanding there too.
3. Information Security Analysts — projected growth: 33%
Median: $120,360. Cybersecurity has a well-documented labor shortage, and the job is highly remote-friendly. That changes the affordability calculation entirely — you can earn a Washington, D.C., salary while living in a 92 RPP city.
A security analyst earning the national median while living in Indianapolis ($1,150 rent, RPP 92.6) keeps roughly $6,100/month in disposable income. That same salary in the D.C. metro ($2,200 rent, RPP 115) leaves $4,200. Remote work turns cybersecurity into one of the best purchasing-power careers in the country.
4. Home Health and Personal Care Aides — projected growth: 33%
Here's the uncomfortable truth about fast-growing career lists. This role is projected to add 684,600 jobs — the most of any occupation in absolute numbers. But the median salary is $33,530. That's $16.12/hour.
In no major metro does this salary cover a 1-bedroom apartment at less than 40% of take-home pay. This is an essential career growing for demographic reasons (aging population), but the compensation doesn't reflect that importance. If you're considering this field, the wage data is something to look at with clear eyes.
5. Wind Turbine Service Technicians — projected growth: 60%
The fastest percentage growth in the BLS projections. Median salary: $61,770. The catch: the jobs are where the wind farms are — rural West Texas, Iowa, Oklahoma, Kansas, and the Dakotas. These are low-cost-of-living areas.
A wind tech earning $62K in rural Iowa (RPP ~88, rent $900/month) has $3,350/month in disposable income that buys like $3,800 at national prices. That's more real purchasing power than many $80K jobs in metro areas. The trade-off is lifestyle — you're living in a small town near a wind farm.
Where the growing jobs actually are (and can you afford to live there?)
Growth projections are national averages. But jobs don't exist nationally — they exist in specific cities with specific costs. Here's where the demand concentrates for each of these five careers, and whether the salary works in those places.
Nurse practitioners are most in demand in rural and underserved areas, where the NP often functions as the primary care provider. The irony: the highest NP salaries are in California ($145K median) and New York ($130K), but the cost of living eats most of the premium. Rural NPs in states like Mississippi ($105K) and Alabama ($108K) earn less on paper but keep significantly more after rent and local prices. An NP making $108K in Birmingham, AL takes home more disposable income than one making $135K in Los Angeles.
Data scientists cluster heavily in tech hubs: San Francisco, Seattle, New York, Austin, and Boston. Median pay in SF ($155K) sounds extraordinary until you subtract California taxes, $2,600/month rent, and a 127 RPP. The purchasing power of a $155K data scientist in SF is roughly equivalent to a $105K data scientist in Raleigh or Austin. If you can find a remote data science role at a coastal salary while living in a lower-cost metro, the purchasing power advantage is massive — potentially $20,000-$30,000/year in real spending capability.
Information security analysts have more geographic flexibility than most tech roles because the work is inherently remote-friendly. The cities with the highest concentration of infosec jobs are Washington DC (government/defense contractors), Dallas, and Atlanta — all offering better affordability than the SF/NYC defaults.
Home health aides face a brutal paradox: the fastest-growing occupation by volume, but one of the lowest-paid. At $33K national median, a home health aide in Miami (RPP 112.5) takes home about $2,300/month after taxes and spends $1,900 on a 2-bedroom. That leaves $400/month for everything else. The growth projection doesn't matter if the salary can't sustain a life in the cities where the demand is highest.
Wind turbine technicians are concentrated in the Great Plains and Texas — areas with the best wind resources. The good news: these tend to be low-cost-of-living areas. A wind tech making $61K in Lubbock, TX (RPP ~88) has purchasing power equivalent to about $69K at the national average. The bad: the jobs are often in remote locations, and the work involves climbing 300-foot towers in variable weather.
What the growth rate doesn't tell you
There's a reason we included home health aides on this list alongside nurse practitioners and data scientists. The BLS growth projections measure expected job openings — how many more positions the economy will need in 10 years. They don't weigh whether those positions pay a livable wage, require years of expensive education, or exist in places people actually want to live.
This creates a misleading picture. A career article that lists "Home Health Aide — 33% growth!" next to "Nurse Practitioner — 40% growth!" implies they're comparably promising. They're not. One pays $126K. The other pays $33K. The growth rate gives them similar billing.
The better framework: look at growth rate, absolute salary, education cost and time, geographic concentration, and cost of living in the places where the jobs exist. That five-factor view tells you whether a growing career is actually a good bet for you specifically — not just for the labor market in aggregate.
Here's how those five factors interact for each career:
| Career | Growth | Median pay | Education | Where the jobs are | Affordable? |
|---|---|---|---|---|---|
| Nurse Practitioner | 40% | $126K | MSN (2-3 yr post-BSN) | Metro healthcare hubs | Depends on city |
| Data Scientist | 36% | $108K | Master's typical | High-cost tech metros | Tight unless remote |
| Info Security Analyst | 33% | $120K | Bachelor's + certs | Remote-friendly | Excellent if remote |
| Home Health Aide | 33% | $34K | HS diploma + training | Everywhere | No, in most cities |
| Wind Turbine Tech | 60% | $62K | Trade school / apprentice | Rural plains states | Yes, very affordable |
The security analyst and wind tech — two careers nobody would group together — actually share the same structural advantage: the salary-to-cost-of-living ratio is favorable because the work happens (or can happen) in low-cost areas. The nurse practitioner and data scientist, by contrast, are concentrated in expensive metros where the impressive-looking salary gets eaten by rent and prices.
Growth rate tells you there will be demand. The affordability analysis tells you whether that demand translates into a life you can actually afford.
The takeaway
Growth rate alone is a terrible way to choose a career. It tells you there will be jobs. It doesn't tell you whether those jobs pay enough to live where they exist. Pair the growth projections with actual salary data and local affordability — that's what tells you whether a "hot career" actually works for your life.
Browse all 800+ careers on AffordMap to see the full picture.
Growth projections from BLS Employment Projections 2022-2032. Salary data from BLS OES. Rent from HUD FMR. Full methodology.