Data Scientists in Northeastern Wisconsin nonmetropolitan area: wage guide
Use the local pay range, same-source bench marks, job scale, price level, and survey care marks as separate facts. This guide stays tied to SOC 15-2051 and BLS area 5500002.
Questions, answered
Data Scientists pay in Northeastern Wisconsin nonmetropolitan area: common questions
What is the median wage for Data Scientists in Northeastern Wisconsin nonmetropolitan area?
The May 2025 BLS OEWS release published a median of $101,580 per year for Data Scientists in Northeastern Wisconsin nonmetropolitan area. This describes an occupation-area estimate, not a promised offer or an individual's pay.
Is Data Scientists pay higher in Northeastern Wisconsin nonmetropolitan area than nationally?
Northeastern Wisconsin nonmetropolitan area's published median was 15.5% below the U.S. median for the same occupation and release.
Does the wage estimate adjust for cost of living in Northeastern Wisconsin nonmetropolitan area?
No. The BLS wage is nominal, and WageScope has no exact current BEA Regional Price Parity row for this BLS area. It does not substitute a nearby place or invent an adjustment.
How many Data Scientists jobs does BLS estimate in Northeastern Wisconsin nonmetropolitan area?
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$126,800/year
262,440
1.1%
Northeastern Wisconsin nonmetropolitan area was 15.5% below the U.S. median for Data Scientists. It ranked 13 of 78 nonmetro areas with a published annual median. Neither comparison adjusts for cost of living, benefits, experience, employer mix, or hours.
What the Data Scientists median says in Northeastern Wisconsin nonmetropolitan area
The May 2025 BLS OEWS estimate puts the Data Scientists median in Northeastern Wisconsin nonmetropolitan area at $101,580 per year. Median means the middle of the published wage spread. It is not one worker's pay. It is not a job offer. The row is tied to SOC 15-2051 and BLS area 5500002.
BLS lists 210 wage and salary jobs for this exact role-place row. That is a survey estimate. It is not a count of open posts. The local mean is $110,050 per year. Mean uses all wage values behind the estimate, so high or low values can move it away from the median.
Northeastern Wisconsin nonmetropolitan area's Data Scientists median is 15.5% below the U.S. Data Scientists median of $120,230 on the same published median. The comparison uses the same SOC code and source period. It does not add price levels, taxes, benefits, hours, or a person's work history.
This page exists because the BLS artifact has one row for SOC 15-2051 and area 5500002. SOC 15-2051 names Data Scientists. Area 5500002 names Northeastern Wisconsin nonmetropolitan area. Both keys must match before WageScope can show or index this answer.
The 15-2051/5500002 row reports 210 wage and salary jobs, 1.06 jobs per 1,000 local jobs, and a 0.63 location quotient. Each value stays under the same two source keys.
For 15-2051/5500002, the annual median is $101,580 per year, while the matching mean is $110,050 per year. The row is published with annual and hourly fields. WageScope does not switch units to fill a blank.
15-2051/5500002 10th percentile: $77,460 per year.
15-2051/5500002 25th percentile: $85,170 per year.
15-2051/5500002 median: $101,580 per year.
15-2051/5500002 75th percentile: $124,010 per year.
15-2051/5500002 90th percentile: $156,390 per year.
BLS area 5500002 facts behind this Data Scientists page
Area 5500002 reports 196,170 wage and salary jobs across all covered occupations. Its annual mean is $57,150. Its annual median is $47,510. The employment RSE is 0%. The mean-wage RSE is 0.3%. These are facts for the whole area. They do not replace the 15-2051 row.
The all-jobs wage ladder in Northeastern Wisconsin nonmetropolitan area runs from $28,650 at the 10th percentile to $94,660 at the 90th percentile. The 25th percentile is $36,230. The median is $47,510. The 75th percentile is $64,080. This is a place check, not a pay range for Data Scientists.
The source rows below are the six largest detailed roles in the bounded area file. Each keeps its own SOC code. They help a reader spot-check area 5500002. They do not show related skills or a path into Data Scientists.
1. Area 5500002, SOC 53-3032, Heavy and Tractor-Trailer Truck Drivers: 6,270 jobs, $56,000 annual median, 31.98 jobs per 1,000, and 2.41 location quotient.
2. Area 5500002, SOC 41-2011, Cashiers: 6,110 jobs, $29,930 annual median, 31.15 jobs per 1,000, and 1.57 location quotient.
3. Area 5500002, SOC 35-3023, Fast Food and Counter Workers: 5,290 jobs, $27,800 annual median, 26.96 jobs per 1,000, and 1.09 location quotient.
Pay range
Read the Northeastern Wisconsin nonmetropolitan area wage ladder for Data Scientists
The 10th percentile is $77,460 per year. The 25th percentile is $85,170 per year. The median is $101,580 per year. The 75th percentile is $124,010 per year. The 90th percentile is $156,390 per year.
A percentile is a rank point, not a career stage. The 10th percentile does not mean new-worker pay. The 90th percentile does not mean a wage that comes after a set number of years. The points show how the wage values spread in the source. They do not say why one job sits at one point.
The middle half runs from $85,170 per year to $124,010 per year. The 10th-to-90th span is $78,930. Use the full ladder when a job post sits far from the median.
Compare Northeastern Wisconsin nonmetropolitan area with its state and the U.S.
Northeastern Wisconsin nonmetropolitan area has a annual median of $101,580 per year. Wisconsin has $106,680 per year. The U.S. row has $120,230 per year. WageScope keeps annual and hourly values apart.
Northeastern Wisconsin nonmetropolitan area is 4.8% below Wisconsin on the same published median. Northeastern Wisconsin nonmetropolitan area is 15.5% below the United States on the same published median. A gap can reflect many things that are not in this row. WageScope reports the gap but does not name a cause.
The state and U.S. rows are bench marks, not replacements. They do not fill missing local facts. A state can hold many local labor markets. A national row can hold many states. Read the local row first, then use the broader rows to see scale.
Where Northeastern Wisconsin nonmetropolitan area sits for Data Scientists
Northeastern Wisconsin nonmetropolitan area ranks 13 of 78 among nonmetro areas with a published annual median for Data Scientists. The list keeps one SOC code, one map type, one wage metric, and one BLS release. It skips rows without the matching median.
Rank 13 of 78 is not a place score. A small wage gap can move a row several spots. The rank does not add local prices, job count, concentration, commute, taxes, or work rules. Use it only to find where the published median falls inside this like-for-like set.
The nearby rows below are the closest ranks, not chosen cities. Their pay, job counts, and local shares can differ. Open a peer page before making a deeper comparison. A title and one number are not enough for a move or pay choice.
10. Coastal Plains Region of Texas nonmetropolitan area has a Data Scientists median of $104,980 per year, 50 estimated jobs, and a location quotient of 0.21.
11. Eastern North Carolina nonmetropolitan area has a Data Scientists median of $102,790 per year, 130 estimated jobs, and a location quotient of 0.3.
12. Northern New Hampshire nonmetropolitan area has a Data Scientists median of $102,150 per year, 80 estimated jobs, and a location quotient of 0.56.
Pay leaders
Where Data Scientists medians lead among nonmetro areas
The rows below use the same SOC 15-2051, the same annual median, the same May 2025 BLS release, and the same nonmetro map type. Western Washington nonmetropolitan area has the highest published median in this set, at $126,340 per year. Northeastern Wisconsin nonmetropolitan area sits at $101,580 per year.
A pay lead is one fact. It does not show the size of the job base. It does not show how common Data Scientists is in the local mix. It also does not add local prices. The bullets keep the median, job count, and location quotient together so a high wage is not read as a full market score.
Use this list to choose a deeper pair, not to choose a place. Open the two local pages. Check the full wage ladder, the job scale, the survey care marks, and the exact BEA price row when present. A missing median stays out of this rank instead of becoming zero.
1. Western Washington nonmetropolitan area has a Data Scientists median of $126,340 per year, or $24,760 above Northeastern Wisconsin nonmetropolitan area. BLS lists 40 jobs there, compared with 210 in Northeastern Wisconsin nonmetropolitan area. The location quotient is 0.19.
2. Southeast Minnesota nonmetropolitan area has a Data Scientists median of $124,400 per year, or $22,820 above Northeastern Wisconsin nonmetropolitan area. BLS lists 70 jobs there, compared with 210 in Northeastern Wisconsin nonmetropolitan area. The location quotient is 0.27.
Job-base leaders
Where BLS counts the most Data Scientists jobs
Northeast Oklahoma nonmetropolitan area has the largest published nonmetro job estimate for Data Scientists in this same-source set, at 220 jobs. Northeastern Wisconsin nonmetropolitan area has 210. The count shows covered job scale, not open posts.
A large job base can have a lower median than a smaller one. It can also have a location quotient near or below 1. That is why WageScope does not blend job count, pay, and local share. Each field keeps its name and unit. The rows below let you compare all three without making one score.
Current MeritLog listings can add a dated view of employer-title matches. They do not change this May 2025 order. A place with few current cards can still have a large BLS job estimate. A place with several cards can still have a smaller estimate. The sources use different clocks and scopes.
1. Northeast Oklahoma nonmetropolitan area has 220 estimated Data Scientists jobs, a gap of 10 jobs from Northeastern Wisconsin nonmetropolitan area. Its median is $68,580 per year, or $33,000 below Northeastern Wisconsin nonmetropolitan area. Its location quotient is 1.13.
2. Northeastern Wisconsin nonmetropolitan area has 210 estimated Data Scientists jobs, a gap of 0 jobs from Northeastern Wisconsin nonmetropolitan area. Its median is $101,580 per year, or $0 above Northeastern Wisconsin nonmetropolitan area. Its location quotient is 0.63.
Local-share leaders
Where Data Scientists takes the largest share of local jobs
Northeast Oklahoma nonmetropolitan area has the highest published location quotient in this nonmetro set, at 1.13. Northeastern Wisconsin nonmetropolitan area has 0.63. A value above 1 means the role's local job share is larger than its national share.
A high quotient can come from a small local job base. It does not prove more jobs, more posts, faster growth, or higher pay. The bullets keep each quotient beside its BLS job count and median. This lets a reader see when the three measures point in different ways.
Use this list to ask where Data Scientists is a large part of the local mix. Use the employment list to ask where BLS counts the most jobs. Use the pay list to ask where the median is highest. None of those lists decides where a person should work.
1. Northeast Oklahoma nonmetropolitan area has a location quotient of 1.13, a gap of 0.50 from Northeastern Wisconsin nonmetropolitan area. BLS lists 220 Data Scientists jobs and a median of $68,580 per year, or $33,000 below Northeastern Wisconsin nonmetropolitan area.
2. Central New Hampshire nonmetropolitan area has a location quotient of 0.74, a gap of 0.11 from Northeastern Wisconsin nonmetropolitan area. BLS lists 130 Data Scientists jobs and a median of $97,740 per year, or $3,840 below Northeastern Wisconsin nonmetropolitan area.
Job scale and share
How common Data Scientists is in Northeastern Wisconsin nonmetropolitan area
BLS lists 210 Data Scientists jobs in Northeastern Wisconsin nonmetropolitan area. It also lists 1.06 jobs per 1,000 local jobs. Jobs per 1,000 turns the count into a rate. It helps compare places of different size. It does not show open posts or hiring speed.
The location quotient is 0.63. A value of 1 means Data Scientists has the same share of local jobs as it has across the nation. This row is lower than 1. The quotient is a share check, not a wage or a growth measure.
Read the three values as separate facts. Employment asks how many covered jobs BLS estimated. Jobs per 1,000 asks how much of the local job base the role takes. Location quotient asks how that share compares with the national share. None of them tells you how many posts are open today.
Data Scientists beside other roles in Northeastern Wisconsin nonmetropolitan area
The all-occupations median in Northeastern Wisconsin nonmetropolitan area is $47,510 per year. The Data Scientists median is $101,580 per year. Data Scientists is 113.8% above the local all-occupations median on the same published median. This compares one role with the full covered job mix.
The nearby role medians below come from the bounded detailed-role table for Northeastern Wisconsin nonmetropolitan area. They are close by wage, not by task. A small wage gap does not mean two jobs need the same skill or lead to the same career. Official titles keep their own SOC codes and source rows.
Use the list to spot the local wage mix around Data Scientists. Then open the role page you mean. A role can have a similar median and a very different job count or local share. The pay number alone cannot show fit, demand, or a path between jobs.
1. General and Operations Managers, SOC 11-1021, has a Northeastern Wisconsin nonmetropolitan area median of $101,860 per year. BLS lists 2,180 jobs and a location quotient of 0.49.
2. Registered Nurses, SOC 29-1141, has a Northeastern Wisconsin nonmetropolitan area median of $84,320 per year. BLS lists 3,500 jobs and a location quotient of 0.82.
Area job mix
The largest detailed roles in Northeastern Wisconsin nonmetropolitan area
Heavy and Tractor-Trailer Truck Drivers is the largest detailed occupation in the bounded Northeastern Wisconsin nonmetropolitan area table, at 6,270 jobs. Data Scientists has 210 jobs in its exact role-place row. The two counts show where this role sits beside other large parts of the local job base.
The all-occupations job count is 196,170. The detailed list below is only a bounded view of that larger mix. It does not sum to every local job. It does not include a blank role as zero. It helps explain why one role's wage and job count should not stand in for the whole area.
A large role can have a lower median. A smaller role can have a higher one. Job count does not show current posts, job quality, or growth. Use the list to see local scale. Then keep Data Scientists's own median, spread, and share in their own fields.
1. Heavy and Tractor-Trailer Truck Drivers has 6,270 jobs in Northeastern Wisconsin nonmetropolitan area, a gap of 6,060 from Data Scientists. Its median is $56,000 per year, or $45,580 below Data Scientists. Its location quotient is 2.41.
2. Cashiers has 6,110 jobs in Northeastern Wisconsin nonmetropolitan area, a gap of 5,900 from Data Scientists. Its median is $29,930 per year, or $71,650 below Data Scientists. Its location quotient is 1.57.
Area pay mix
Published role medians around Northeastern Wisconsin nonmetropolitan area
General and Operations Managers has the highest published median in the bounded Northeastern Wisconsin nonmetropolitan area role table, at $101,860 per year. Data Scientists has $101,580 per year. This puts the role beside a local pay range without blending the source rows.
The local all-occupations median is $47,510 per year. A role above that mark is not better. A role below it is not worse. The mark only shows where the role's published median sits against the full covered job mix. Job tasks, level, hours, and work setting are separate facts.
The bullets keep each SOC title, job count, median, and local share together. Use them to find a role page worth opening. Do not use a close median as proof that two roles share skills or that one is a path to the other.
1. General and Operations Managers has a median of $101,860 per year in Northeastern Wisconsin nonmetropolitan area, or $280 above Data Scientists. BLS lists 2,180 jobs, compared with 210 for Data Scientists. Its location quotient is 0.49.
2. Registered Nurses has a median of $84,320 per year in Northeastern Wisconsin nonmetropolitan area, or $17,260 below Data Scientists. BLS lists 3,500 jobs, compared with 210 for Data Scientists. Its location quotient is 0.82.
Area role shares
Roles with the largest local share in Northeastern Wisconsin nonmetropolitan area
Bartenders has the highest location quotient in the bounded Northeastern Wisconsin nonmetropolitan area role table, at 2.77. Data Scientists has 0.63. Both values compare a local job share with the matching national share.
A quotient above 1 means the role takes a larger share of local jobs than it does across the nation. It does not mean more jobs than every other role. It does not mean open posts, growth, or high pay. The job count and median beside each row answer those other narrow questions.
The local role-share mix can differ a lot from the pay mix. Read both lists. Then compare Data Scientists with the same SOC code in another place. This keeps a broad area pattern from replacing the exact role-place row.
1. Bartenders has a location quotient of 2.77 in Northeastern Wisconsin nonmetropolitan area, a gap of 2.14 from Data Scientists. BLS lists 2,650 jobs and a median of $22,820 per year, or $78,760 below Data Scientists.
2. Heavy and Tractor-Trailer Truck Drivers has a location quotient of 2.41 in Northeastern Wisconsin nonmetropolitan area, a gap of 1.78 from Data Scientists. BLS lists 6,270 jobs and a median of $56,000 per year, or $45,580 below Data Scientists.
Price-level view
What $101,580 may mean after the Northeastern Wisconsin nonmetropolitan area price level
WageScope has no exact approved 2024 BEA price row for Northeastern Wisconsin nonmetropolitan area. It does not use a nearby place or a broad state value as a stand-in. The $101,580 BLS median stays a nominal wage.
No price row means no national-price-dollar proxy. It does not mean prices match the U.S. level. It does not say whether a wage goes far or not. The source is missing for this exact map key, so the price answer stays open.
You can still compare Data Scientists with the U.S. or with like nonmetro areas on the same BLS metric. Keep that as a nominal wage comparison. Add price-level context only when an exact reviewed row exists.
How much care to use with the Northeastern Wisconsin nonmetropolitan area row
The employment RSE for this Data Scientists row is 9.5%. The mean-wage RSE is 7.5%. RSE means relative standard error. It is a survey precision flag. A smaller value often means less sampling uncertainty. It is not the chance that one person's pay is right or wrong.
The employment RSE belongs to the 210 job estimate. The mean-wage RSE belongs to the $110,050 mean. BLS does not give the same RSE field for the median or every percentile. WageScope does not move an RSE from one field to another.
A local row can change in a new release. A small role-place sample can also have more survey uncertainty than a broad national row. Keep the May 2025 date next to the value. Do not mix a newer job post with the BLS date as if both facts came from one clock.
Use Northeastern Wisconsin nonmetropolitan area wage data before you tailor
The job block looks for strict employer-title matches to Data Scientists. It uses a Northeastern Wisconsin nonmetropolitan area place filter only when the public place list has an exact approved match. If that match is not safe, the page says the jobs are not narrowed to this place. A false negative is safer than showing a different role.
Each card keeps its employer, place, source, and seen date. Listings can change between visits while the survey figures stay tied to their release date. A listing range does not replace the $101,580 BLS median. The listing and survey answer different questions.
Open one listing. Check its level, work place, pay range, and needs. Then tailor with work facts you can support. Do not turn a wage, job count, rank, or price proxy into a résumé claim. The public page is read only. It does not save a job or start a draft on load.
What the Data Scientists row for Northeastern Wisconsin nonmetropolitan area does not claim
The row does not say what one person earns. It does not promise a job, offer, raise, or move result. It does not say why the local median differs from the U.S. row. It does not add tips, bonus pay, stock, benefits, taxes, or work hours unless those items are in the BLS wage measure.
The 210 job estimate is not a live opening count. The location quotient of 0.63 is not a growth score. Rank 13 of 78 is not a place score. A missing price index is not a personal budget.
Use the row for one clear task. Read the May 2025 wage spread for SOC 15-2051 in BLS area 5500002. Compare the same metric with the state and U.S. rows. Add the separate 2024 price level when present. Inspect a dated job match. Then use confirmed work facts for a résumé.
BLS published an employment estimate of 210 wage and salary jobs for this exact row. It is a survey estimate, not a current opening count or forecast.
Are the current job listings included in the BLS wage calculation?
No. MeritLog shows eligible live public-catalog listings separately, with their own source and observation date. Posted pay never changes the official BLS distribution.
4. Area 5500002, SOC 41-2031, Retail Salespersons: 4,900 jobs, $34,720 annual median, 24.99 jobs per 1,000, and 1 location quotient.
5. Area 5500002, SOC 31-1120, Home Health and Personal Care Aides: 4,660 jobs, $35,560 annual median, 23.73 jobs per 1,000, and 0.86 location quotient.
6. Area 5500002, SOC 53-7062, Laborers and Freight, Stock, and Material Movers, Hand: 4,170 jobs, $40,010 annual median, 21.27 jobs per 1,000, and 1.12 location quotient.
14. Hill Country Region of Texas nonmetropolitan area has a Data Scientists median of $101,260 per year, 80 estimated jobs, and a location quotient of 0.23.
15. Southside Virginia nonmetropolitan area has a Data Scientists median of $100,950 per year, 30 estimated jobs, and a location quotient of 0.19.
16. Northwest Colorado nonmetropolitan area has a Data Scientists median of $99,980 per year, 50 estimated jobs, and a location quotient of 0.21.
3. South Central Wisconsin nonmetropolitan area has a Data Scientists median of $115,910 per year, or $14,330 above Northeastern Wisconsin nonmetropolitan area. BLS lists 100 jobs there, compared with 210 in Northeastern Wisconsin nonmetropolitan area. The location quotient is 0.29.
4. Northeastern South Carolina nonmetropolitan area has a Data Scientists median of $114,300 per year, or $12,720 above Northeastern Wisconsin nonmetropolitan area. BLS lists 60 jobs there, compared with 210 in Northeastern Wisconsin nonmetropolitan area. The location quotient is 0.48.
5. Wasatch Front Fringe Utah nonmetropolitan area has a Data Scientists median of $111,180 per year, or $9,600 above Northeastern Wisconsin nonmetropolitan area. BLS lists 40 jobs there, compared with 210 in Northeastern Wisconsin nonmetropolitan area. The location quotient is 0.37.
6. Northern Vermont nonmetropolitan area has a Data Scientists median of $109,850 per year, or $8,270 above Northeastern Wisconsin nonmetropolitan area. BLS lists 60 jobs there, compared with 210 in Northeastern Wisconsin nonmetropolitan area. The location quotient is 0.42.
7. Massachusetts nonmetropolitan area has a Data Scientists median of $106,230 per year, or $4,650 above Northeastern Wisconsin nonmetropolitan area. BLS lists 30 jobs there, compared with 210 in Northeastern Wisconsin nonmetropolitan area. The location quotient is 0.45.
8. Northwestern South Carolina nonmetropolitan area has a Data Scientists median of $106,160 per year, or $4,580 above Northeastern Wisconsin nonmetropolitan area. BLS lists 60 jobs there, compared with 210 in Northeastern Wisconsin nonmetropolitan area. The location quotient is 0.39.
3. Western North Carolina nonmetropolitan area has 170 estimated Data Scientists jobs, a gap of 40 jobs from Northeastern Wisconsin nonmetropolitan area. Its median is $81,880 per year, or $19,700 below Northeastern Wisconsin nonmetropolitan area. Its location quotient is 0.39.
4. Central Kentucky nonmetropolitan area has 140 estimated Data Scientists jobs, a gap of 70 jobs from Northeastern Wisconsin nonmetropolitan area. Its median is $82,920 per year, or $18,660 below Northeastern Wisconsin nonmetropolitan area. Its location quotient is 0.48.
5. Southwest Maine nonmetropolitan area has 140 estimated Data Scientists jobs, a gap of 70 jobs from Northeastern Wisconsin nonmetropolitan area. Its median is $90,440 per year, or $11,140 below Northeastern Wisconsin nonmetropolitan area. Its location quotient is 0.59.
6. Central New Hampshire nonmetropolitan area has 130 estimated Data Scientists jobs, a gap of 80 jobs from Northeastern Wisconsin nonmetropolitan area. Its median is $97,740 per year, or $3,840 below Northeastern Wisconsin nonmetropolitan area. Its location quotient is 0.74.
7. Eastern North Carolina nonmetropolitan area has 130 estimated Data Scientists jobs, a gap of 80 jobs from Northeastern Wisconsin nonmetropolitan area. Its median is $102,790 per year, or $1,210 above Northeastern Wisconsin nonmetropolitan area. Its location quotient is 0.3.
8. Southeast Iowa nonmetropolitan area has 130 estimated Data Scientists jobs, a gap of 80 jobs from Northeastern Wisconsin nonmetropolitan area. Its median is $84,040 per year, or $17,540 below Northeastern Wisconsin nonmetropolitan area. Its location quotient is 0.37.
3. Southwestern New Hampshire nonmetropolitan area has a location quotient of 0.68, a gap of 0.05 from Northeastern Wisconsin nonmetropolitan area. BLS lists 50 Data Scientists jobs and a median of $95,970 per year, or $5,610 below Northeastern Wisconsin nonmetropolitan area.
4. Northeastern Wisconsin nonmetropolitan area has a location quotient of 0.63, a gap of 0.00 from Northeastern Wisconsin nonmetropolitan area. BLS lists 210 Data Scientists jobs and a median of $101,580 per year, or $0 above Northeastern Wisconsin nonmetropolitan area.
5. Northeast Virginia nonmetropolitan area has a location quotient of 0.61, a gap of 0.02 from Northeastern Wisconsin nonmetropolitan area. BLS lists 60 Data Scientists jobs and a median of $95,700 per year, or $5,880 below Northeastern Wisconsin nonmetropolitan area.
6. Southwest Maine nonmetropolitan area has a location quotient of 0.59, a gap of 0.04 from Northeastern Wisconsin nonmetropolitan area. BLS lists 140 Data Scientists jobs and a median of $90,440 per year, or $11,140 below Northeastern Wisconsin nonmetropolitan area.
7. Northern New Hampshire nonmetropolitan area has a location quotient of 0.56, a gap of 0.07 from Northeastern Wisconsin nonmetropolitan area. BLS lists 80 Data Scientists jobs and a median of $102,150 per year, or $570 above Northeastern Wisconsin nonmetropolitan area.
8. Arizona nonmetropolitan area has a location quotient of 0.52, a gap of 0.11 from Northeastern Wisconsin nonmetropolitan area. BLS lists 90 Data Scientists jobs and a median of $80,820 per year, or $20,760 below Northeastern Wisconsin nonmetropolitan area.
3. First-Line Supervisors of Production and Operating Workers, SOC 51-1011, has a Northeastern Wisconsin nonmetropolitan area median of $69,990 per year. BLS lists 1,900 jobs and a location quotient of 2.24.
4. Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products, SOC 41-4012, has a Northeastern Wisconsin nonmetropolitan area median of $62,140 per year. BLS lists 1,580 jobs and a location quotient of 1.01.
5. Secondary School Teachers, Except Special and Career/Technical Education, SOC 25-2031, has a Northeastern Wisconsin nonmetropolitan area median of $61,620 per year. BLS lists 1,790 jobs and a location quotient of 1.34.
6. Elementary School Teachers, Except Special Education, SOC 25-2021, has a Northeastern Wisconsin nonmetropolitan area median of $61,160 per year. BLS lists 1,680 jobs and a location quotient of 0.96.
7. Heavy and Tractor-Trailer Truck Drivers, SOC 53-3032, has a Northeastern Wisconsin nonmetropolitan area median of $56,000 per year. BLS lists 6,270 jobs and a location quotient of 2.41.
8. Construction Laborers, SOC 47-2061, has a Northeastern Wisconsin nonmetropolitan area median of $53,020 per year. BLS lists 1,810 jobs and a location quotient of 1.31.
3. Fast Food and Counter Workers has 5,290 jobs in Northeastern Wisconsin nonmetropolitan area, a gap of 5,080 from Data Scientists. Its median is $27,800 per year, or $73,780 below Data Scientists. Its location quotient is 1.09.
4. Retail Salespersons has 4,900 jobs in Northeastern Wisconsin nonmetropolitan area, a gap of 4,690 from Data Scientists. Its median is $34,720 per year, or $66,860 below Data Scientists. Its location quotient is 1.
5. Home Health and Personal Care Aides has 4,660 jobs in Northeastern Wisconsin nonmetropolitan area, a gap of 4,450 from Data Scientists. Its median is $35,560 per year, or $66,020 below Data Scientists. Its location quotient is 0.86.
6. Laborers and Freight, Stock, and Material Movers, Hand has 4,170 jobs in Northeastern Wisconsin nonmetropolitan area, a gap of 3,960 from Data Scientists. Its median is $40,010 per year, or $61,570 below Data Scientists. Its location quotient is 1.12.
7. Office Clerks, General has 3,840 jobs in Northeastern Wisconsin nonmetropolitan area, a gap of 3,630 from Data Scientists. Its median is $43,630 per year, or $57,950 below Data Scientists. Its location quotient is 1.23.
8. Registered Nurses has 3,500 jobs in Northeastern Wisconsin nonmetropolitan area, a gap of 3,290 from Data Scientists. Its median is $84,320 per year, or $17,260 below Data Scientists. Its location quotient is 0.82.
3. First-Line Supervisors of Production and Operating Workers has a median of $69,990 per year in Northeastern Wisconsin nonmetropolitan area, or $31,590 below Data Scientists. BLS lists 1,900 jobs, compared with 210 for Data Scientists. Its location quotient is 2.24.
4. Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products has a median of $62,140 per year in Northeastern Wisconsin nonmetropolitan area, or $39,440 below Data Scientists. BLS lists 1,580 jobs, compared with 210 for Data Scientists. Its location quotient is 1.01.
5. Secondary School Teachers, Except Special and Career/Technical Education has a median of $61,620 per year in Northeastern Wisconsin nonmetropolitan area, or $39,960 below Data Scientists. BLS lists 1,790 jobs, compared with 210 for Data Scientists. Its location quotient is 1.34.
6. Elementary School Teachers, Except Special Education has a median of $61,160 per year in Northeastern Wisconsin nonmetropolitan area, or $40,420 below Data Scientists. BLS lists 1,680 jobs, compared with 210 for Data Scientists. Its location quotient is 0.96.
7. Heavy and Tractor-Trailer Truck Drivers has a median of $56,000 per year in Northeastern Wisconsin nonmetropolitan area, or $45,580 below Data Scientists. BLS lists 6,270 jobs, compared with 210 for Data Scientists. Its location quotient is 2.41.
8. Construction Laborers has a median of $53,020 per year in Northeastern Wisconsin nonmetropolitan area, or $48,560 below Data Scientists. BLS lists 1,810 jobs, compared with 210 for Data Scientists. Its location quotient is 1.31.
3. First-Line Supervisors of Production and Operating Workers has a location quotient of 2.24 in Northeastern Wisconsin nonmetropolitan area, a gap of 1.61 from Data Scientists. BLS lists 1,900 jobs and a median of $69,990 per year, or $31,590 below Data Scientists.
4. Miscellaneous Assemblers and Fabricators has a location quotient of 1.88 in Northeastern Wisconsin nonmetropolitan area, a gap of 1.25 from Data Scientists. BLS lists 3,340 jobs and a median of $44,000 per year, or $57,580 below Data Scientists.
5. Receptionists and Information Clerks has a location quotient of 1.88 in Northeastern Wisconsin nonmetropolitan area, a gap of 1.25 from Data Scientists. BLS lists 2,160 jobs and a median of $40,260 per year, or $61,320 below Data Scientists.
6. Cashiers has a location quotient of 1.57 in Northeastern Wisconsin nonmetropolitan area, a gap of 0.94 from Data Scientists. BLS lists 6,110 jobs and a median of $29,930 per year, or $71,650 below Data Scientists.
7. Maids and Housekeeping Cleaners has a location quotient of 1.46 in Northeastern Wisconsin nonmetropolitan area, a gap of 0.83 from Data Scientists. BLS lists 1,580 jobs and a median of $34,720 per year, or $66,860 below Data Scientists.
8. Landscaping and Groundskeeping Workers has a location quotient of 1.45 in Northeastern Wisconsin nonmetropolitan area, a gap of 0.82 from Data Scientists. BLS lists 1,740 jobs and a median of $39,880 per year, or $61,700 below Data Scientists.
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