November Job Openings

8/20/2019 November Job Openings

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JOB OPENINGS

Online job openings totaled 15,901 open and available positions in November 2015. Openings were lower by 4.7 percent (-

783) from the prior month and 21.8 percent lower (-4,423) than one year ago.

Of the 22 non-military major occupational groups, Healthcare Practitioners and Technical reported the largest number of job

openings with 2,042, followed by Sales and Related with 1,797 and Office and Administrative Support with 1,594. Two otheroccupational groups also reported job opening counts greater than 1,000 (Management; Food Preparation and Serving

Related).

Three of 22 non-military major occupational groups reported over-the-year gains in job openings; one occupational group,

Healthcare Practitioners and Technical, reported an over-the-year gain of 100 or more job openings. The occupational

group reporting the largest over-the-year decline was Transportation and Material Moving (-995).

Of the twenty-four counties reporting an over-the-year increase in the number of job openings, Ramsey County reported the

largest increase (+76), followed by Grand Forks (+67) and Sioux (+62). Twenty-five of 53 counties reported over-the-year

decreases led by Williams (-994). Four counties reported no over-the-year change in job openings.

ACTIVE RESUMÉS

Active resumés totaled 9,440 in November 2015. Active resumés were lower by 0.8 percent (-77) from the prior month but

9.7 percent higher (+836) than one year ago. There were a total of 8,216 in-state active resumés and 1,224 out-of-state

active resumés.

Of the 22 non-military major occupational groups, Office and Administrative Support reported the largest number of active

resumés with 2,019, followed by Construction and Extraction with 1,261 and Transportation and Material Moving with 937.

Fifteen of 22 non-military major occupational groups reported over-the-year gains in active resumés. Construction and

Extraction reported the largest over-the-year increase in active resumés (+190); Life, Physical, and Social Science reported

the largest over-the-year decrease in active resumés (-20).

SUPPLY/DEMAND RATES

North Dakota’s rate of active resumés per job opening was 0.5 in November 2015. One year ago it was 0.4. Nineteen of 22

non-military major occupational groups reported rates of less than 1.0, while one year ago all twenty-two occupational

groups reported rates less than 1.0. A rate less than 1.0 indicates more job openings than in-state active resumés. Two of

22 non-military major occupational groups reported a rate decrease from the prior year.

North Dakota’s job openings rate was 3.5 percent in October 2015, the latest month for which data are available. One year

prior, North Dakota’s rate was 4.2. The U.S. rate for October was not available at the time of publication, but a September

2015 comparison showed North Dakota at 3.6 percent versus the U.S. rate of 3.7 percent. The job openings rate is the

percentage of all jobs in the economy open and available.

North Dakota’s rate of unemployed persons per job opening was 0.5 in October 2015, the latest month for which data are

available. One year prior, North Dakota’s rate was 0.4. Again, the U.S. rate was not available at the time of publication, but

a September 2015 comparison showed North Dakota at 0.5 unemployed persons per job opening versus the U.S. rate of

1.4. Twenty-two North Dakota counties reported unemployed-per-opening rates of less than 1.0, which indicates more job

openings than resident labor supply. One year ago, twenty-three counties reported rates of less than 1.0.

NOVEMBER 2015 ONLINE JOB OPENINGS REPORT



NOVEMBER 2015 ONLINE JOB OPENINGS RE

JOB OPENINGS DATA

JOB OPENINGS--TOTAL

JOB OPENINGS--OVER-THE-YEAR PERCENT CHANGE

NOV 2014 20,324 -430 -2.1 3,920 23.9 19,205 2,913 17.

DEC 2014 19,033 -1,291 -6.4 4,050 27.0 19,542 3,327 20.

JAN 2015 16,616 -2,417 -12.7 3,111 23.0 19,805 3,702 23.

FEB 2015 17,675 1,059 6.4 1,381 8.5 19,916 3,704 22.

MAR 2015 19,544 1,869 10.6 1,146 6.2 20,011 3,496 21.

APR 2015 21,448 1,904 9.7 482 2.3 20,054 3,126 18.

MAY 2015 21,044 -404 -1.9 -1,019 -4.6 19,969 2,639 15.

JUN 2015 19,680 -1,364 -6.5 -1,035 -5.0 19,883 2,276 12.

JUL 2015 19,173 -507 -2.6 267 1.4 19,905 2,088 11.

AUG 2015 17,483 -1,690 -8.8 -4,635 -21.0 19,516 1,315 7.

SEP 2015 17,420 -63 -0.4 -4,004 -18.7 19,184 759 4.

OCT 2015 16,684 -736 -4.2 -4,070 -19.6 18,845 -35 -0.

NOV 2015 15,901 -783 -4.7 -4,423 -21.8 18,475 -730 -3.

OVER-THE-MONTH

NUMERIC

CHANGE CHANGE

PERCENT

CHANGE

OVER-THE-YEAR

NUMERIC

AVERAGECHANGE

PERCENT

12-MONTH

MOVING

OVER-THE-YEAR

NUMERIC

CHANGE CHAN

PERCE

MOST

RECENT

13 MONTHS

TOTAL

0

5,000

10,000

15,000

20,000

25,000

'10

NOV

'11

NOV

'12

NOV

'13

NOV

'14

NOV

'1

NO

-40%

-20%

0%

20%

40%

60%

80%

100%

120%

FIVE-YEAR TREND

LABOR MARKET INFORMATION CENTER 2 JOB SERVICE NORTH DAK




JOB OPENINGS DATA

SOC CODE/OCCUPATIONAL GROUP

11 Management 1,479 1,029 1,021 -8 -0.8 -458 -31

13 Business and Financial Operations 644 409 329 -80 -19.6 -315 -4815 Computer and Mathematical 728 275 298 23 8.4 -430 -59

17 Architecture and Engineering 661 615 470 -145 -23.6 -191 -28

19 Life, Physical, and Social Science 111 81 101 20 24.7 -10 -9

21 Community and Social Service 161 195 214 19 9.7 53 32

23 Legal 40 29 30 1 3.4 -10 -25

25 Education, Training, and Library 316 289 291 2 0.7 -25 -7

27 Arts, Design, Entertainment, Sports, and Media 266 228 228 0 0.0 -38 -14

29 Healthcare Practitioners and Technical 1,597 1,749 2,042 293 16.8 445 27

31 Healthcare Support 391 483 389 -94 -19.5 -2 -0

33 Protective Service 164 162 147 -15 -9.3 -17 -10

35 Food Preparation and Serving Related 1,338 1,367 1,378 11 0.8 40 3

37 Building and Grounds Cleaning and Maintenance 433 271 256 -15 -5.5 -177 -4039 Personal Care and Service 378 354 378 24 6.8 0 0

41 Sales and Related 2,096 1,748 1,797 49 2.8 -299 -14

43 Office and Administrative Support 2,267 1,683 1,594 -89 -5.3 -673 -29

45 Farming, Fishing, and Forestry 233 200 209 9 4.5 -24 -10

47 Construction and Extraction 808 741 472 -269 -36.3 -336 -41

49 Installation, Maintenance, and Repair 991 759 700 -59 -7.8 -291 -29

51 Production 933 747 656 -91 -12.2 -277 -29

53 Transportation and Material Moving 1,862 1,201 867 -334 -27.8 -995 -53

55 Military Specific 5 8 19 11 137.5 14 280

Not Classified 2,422 2,061 2,015 -46 -2.2 -407 -16

TOTAL, ALL JOB OPENINGS 20,324 16,684 15,901 -783 -4.7 -4,423 -21

PCT CHG

NOV

2014

OVER-THE-YEA

NUM CHG PCT C

OVER-THE-MONTH

NUM CHGSOC CODE/OCCUPATIONAL GROUP

NOV

20152015

OCT

0

500

1,000

1,500

2,000

2,500

11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 5

One Year Ago Curren t Month




Dunn-39

Ward

-975

Cass-535

McLean-2

Grant+4

McKenzie-130

Morton-101

Williams-994

Stark-947

Stutsman+23

Wells-8

Kidder +7

Slope0

Barnes-27

Walsh+61

McHenry

+8Mountrail

-105

Divide-47

Sioux+62

Burleigh-826

Burke-4

Benson+44

Cavalier +9

Emmons0

Bottineau+50

Traill-31

Pierce

+5

Dickey+15

Richland-5

Ramsey

+76

Mercer -112

Logan+5

Billings0

Nelson-11

Towner +8

Adams-7

Bowman+8

Rolette+8

LaMoure-18

Pembina-4

Eddy+3

Oliver 0

Hettinger +21

Grand Forks+67

Steele-6

Sheridan+1

Sargent-4

Renville+14

McIntosh+14

Griggs-23

Ransom-19

Foster +33

GoldenValley

+11

NORTH DAKOTA COUNTY JOB OPENINGS

North Dakota Over-The-Year Numeric Change: -4,423

Source: Labor Market Information Center, Job Service North Dakota, Online Job Openings Report

COUNTY OVER-THE-YEAR NUMERIC CHANGE (NOVEMBER 2015)

Y/Y Decrease No Change +1 - +19 +20 - +49 +50 - +99 Y/Y Increase > 99

[Map Creation Date: November 18, 2015 Author: Labor Market Information Center, Job Service North Dakota]

Over-The-Year Numeric Change




JOB OPENINGS DATA

Adams 32 26 25 -1 -3.8 -7 -21

Barnes 249 273 222 -51 -18.7 -27 -10

Benson 14 69 58 -11 -15.9 44 314

Billings 1 0 1 1 --- 0 0

Bottineau 63 62 113 51 82.3 50 79

Bowman 20 19 28 9 47.4 8 40Burke 19 9 15 6 66.7 -4 -21

Burleigh 3,412 2,739 2,586 -153 -5.6 -826 -24

Cass 5,396 4,979 4,861 -118 -2.4 -535 -9

Cavalier 11 8 20 12 150.0 9 81

Dickey 82 74 97 23 31.1 15 18

Divide 51 11 4 -7 -63.6 -47 -92

Dunn 76 26 37 11 42.3 -39 -51

Eddy 11 8 14 6 75.0 3 27

Emmons 24 27 24 -3 -11.1 0 0

Foster 52 73 85 12 16.4 33 63

Golden Valley 5 15 16 1 6.7 11 220

Grand Forks 1,953 2,160 2,020 -140 -6.5 67 3Grant 5 6 9 3 50.0 4 80

Griggs 34 8 11 3 37.5 -23 -67

Hettinger 20 39 41 2 5.1 21 105

Kidder 0 2 7 5 250.0 7 -

LaMoure 43 19 25 6 31.6 -18 -41

Logan 16 11 21 10 90.9 5 31

McHenry 20 27 28 1 3.7 8 40

McIntosh 9 17 23 6 35.3 14 155

McKenzie 320 216 190 -26 -12.0 -130 -40

McLean 55 47 53 6 12.8 -2 -3

Mercer 234 171 122 -49 -28.7 -112 -47

Morton 321 271 220 -51 -18.8 -101 -31Mountrail 264 208 159 -49 -23.6 -105 -39

Nelson 27 11 16 5 45.5 -11 -40

Oliver 11 37 11 -26 -70.3 0 0

Pembina 70 50 66 16 32.0 -4 -5

Pierce 38 49 43 -6 -12.2 5 13

Ramsey 269 299 345 46 15.4 76 28

Ransom 59 49 40 -9 -18.4 -19 -32

Renville 13 15 27 12 80.0 14 107

Richland 222 259 217 -42 -16.2 -5 -2

Rolette 57 54 65 11 20.4 8 14

Sargent 33 41 29 -12 -29.3 -4 -12

Sheridan 2 0 3 3 --- 1 50Sioux 24 75 86 11 14.7 62 258

Slope 1 2 1 -1 -50.0 0 0

Stark 1,716 823 769 -54 -6.6 -947 -55

Steele 19 13 13 0 0.0 -6 -31

Stutsman 512 596 535 -61 -10.2 23 4

Towner 10 11 18 7 63.6 8 80

Traill 111 70 80 10 14.3 -31 -27

Walsh 154 175 215 40 22.9 61 39

Ward 2,248 1,434 1,273 -161 -11.2 -975 -43

Wells 44 40 36 -4 -10.0 -8 -18

Williams 1,872 961 878 -83 -8.6 -994 -53

NUM CHG

OCT NOV OVER-THE-MONTHNOV OVER-THE-YEA

PCT CCOUNTY NAME

20152015 NUM CHG PCT CHG2014





ACTIVE RESUMÉS DATA

ACTIVE RESUMÉS--TOTAL

ACTIVE RESUMÉS--OVER-THE-YEAR PERCENT CHANGE

NOV 2014 8,604 63 0.7 -765 -8.2 8,935 -1,990 -18.

DEC 2014 8,635 31 0.4 -328 -3.7 8,912 -1,853 -17.

JAN 2015 8,272 -363 -4.2 -347 -4.0 8,881 -1,707 -16.

FEB 2015 8,871 599 7.2 33 0.4 8,883 -1,502 -14.

MAR 2015 9,482 611 6.9 287 3.1 8,907 -1,290 -12.

APR 2015 10,515 1,033 10.9 730 7.5 8,968 -1,054 -10.

MAY 2015 10,487 -28 -0.3 876 9.1 9,041 -827 -8.

JUN 2015 10,159 -328 -3.1 963 10.5 9,119 -611 -6.

JUL 2015 9,736 -423 -4.2 964 11.0 9,202 -319 -3.

AUG 2015 9,476 -260 -2.7 893 10.4 9,278 -30 -0.

SEP 2015 9,394 -82 -0.9 875 10.3 9,349 215 2.

OCT 2015 9,517 123 1.3 976 11.4 9,430 430 4.

NOV 2015 9,440 -77 -0.8 836 9.7 9,499 564 6.

CHANGE CHANCHANGE CHANGE CHANGE CHANGE AVERAGE

PERCENT MOVING NUMERIC PERCE

12-MONTHOVER-THE-YEAR OVER-THE-YEAR

NUMERIC

MOST

RECENT

13 MONTHS

OVER-THE-MONTH

TOTAL NUMERIC PERCENT

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

'10

NOV

'11

NOV

'12

NOV

'13

NOV

'14

NOV

'1

NO

Out-of-State Active Resumés In-State Active Resumés

-30%

-20%

-10%

0%

10%

20%

30%

FIVE-YEAR TREND





ACTIVE RESUMÉS DATA ALL ACTIVE RESUMSOC CODE/OCCUPATIONAL GROUP

11 Management 782 931 906 -25 -2.7 124 15

13 Business and Financial Operations 282 260 264 4 1.5 -18 -615 Computer and Mathematical 174 141 157 16 11.3 -17 -9

17 Architecture and Engineering 156 160 159 -1 -0.6 3 1


21 Community and Social Service 118 139 123 -16 -11.5 5 4

23 Legal 22 32 28 -4 -12.5 6 27

25 Education, Training, and Library 113 123 100 -23 -18.7 -13 -11

27 Arts, Design, Entertainment, Sports, and Media 98 111 105 -6 -5.4 7 7

29 Healthcare Practitioners and Technical 175 173 182 9 5.2 7 4

31 Healthcare Support 275 288 277 -11 -3.8 2 0

33 Protective Service 122 100 114 14 14.0 -8 -6

35 Food Preparation and Serving Related 278 327 302 -25 -7.6 24 8

37 Building and Grounds Cleaning and Maintenance 190 228 230 2 0.9 40 2139 Personal Care and Service 135 139 135 -4 -2.9 0 0

41 Sales and Related 605 682 644 -38 -5.6 39 6

43 Office and Administrative Support 1,906 2,076 2,019 -57 -2.7 113 5

45 Farming, Fishing, and Forestry 71 73 69 -4 -5.5 -2 -2

47 Construction and Extraction 1,071 1,235 1,261 26 2.1 190 17

49 Installation, Maintenance, and Repair 354 429 469 40 9.3 115 32

51 Production 726 849 856 7 0.8 130 17

53 Transportation and Material Moving 807 920 937 17 1.8 130 16

55 Military Specific 16 10 13 3 30.0 -3 -18

Not Classified 31 15 13 -2 -13.3 -18 -58

TOTAL, ALL ACTIVE RESUMÉS 8,604 9,517 9,440 -77 -0.8 836 9

OVER-THE-YEA

20152015

OCTSOC CODE/OCCUPATIONAL GROUP

NOV OVER-THE-MONTHNOV

NUM CHG PCT CHG2014 NUM CHG PCT C

0

500

1,000

1,500

2,000

2,500

11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 5






ACTIVE RESUMÉS DATA IN-STATE ACTIVE RESUMSOC CODE/OCCUPATIONAL GROUP

11 Management 638 795 776 -19 -2.4 138 21

13 Business and Financial Operations 218 220 222 2 0.9 4 115 Computer and Mathematical 125 115 129 14 12.2 4 3

17 Architecture and Engineering 104 119 123 4 3.4 19 18

19 Life, Physical, and Social Science 78 64 63 -1 -1.6 -15 -19


23 Legal 16 30 24 -6 -20.0 8 50


27 Arts, Design, Entertainment, Sports, and Media 89 94 88 -6 -6.4 -1 -1

29 Healthcare Practitioners and Technical 142 150 152 2 1.3 10 7


33 Protective Service 103 93 103 10 10.8 0 0

35 Food Preparation and Serving Related 247 303 278 -25 -8.3 31 12

37 Building and Grounds Cleaning and Maintenance 181 216 217 1 0.5 36 1939 Personal Care and Service 124 126 121 -5 -4.0 -3 -2

41 Sales and Related 543 636 606 -30 -4.7 63 11

43 Office and Administrative Support 1,734 1,923 1,881 -42 -2.2 147 8

45 Farming, Fishing, and Forestry 57 60 57 -3 -5.0 0 0

47 Construction and Extraction 753 983 977 -6 -0.6 224 29

49 Installation, Maintenance, and Repair 276 352 396 44 12.5 120 43

51 Production 588 741 741 0 0.0 153 26

53 Transportation and Material Moving 618 767 778 11 1.4 160 25

55 Military Specific 14 10 12 2 20.0 -2 -14

Not Classified 28 14 13 -1 -7.1 -15 -53

TOTAL, IN-STATE ACTIVE RESUMÉS 7,132 8,313 8,216 -97 -1.2 1,084 15

PCT CHG NUM CHG PCT CSOC CODE/OCCUPATIONAL GROUP

NOV OCT NOV OVER-THE-MONTH OVER-THE-YEA

2014 2015 2015 NUM CHG

0

200

400

600

800

1,000

1,200

1,400

1,600

1,800

2,000

11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 5

One Year Ago Curr ent Mo nth





ACTIVE RESUMÉS DATA OUT-OF-STATE ACTIVE RESUMSOC CODE/OCCUPATIONAL GROUP

11 Management 144 136 130 -6 -4.4 -14 -9

13 Business and Financial Operations 64 40 42 2 5.0 -22 -3415 Computer and Mathematical 49 26 28 2 7.7 -21 -42

17 Architecture and Engineering 52 41 36 -5 -12.2 -16 -30



23 Legal 6 2 4 2 100.0 -2 -33


27 Arts, Design, Entertainment, Sports, and Media 9 17 17 0 0.0 8 88

29 Healthcare Practitioners and Technical 33 23 30 7 30.4 -3 -9


33 Protective Service 19 7 11 4 57.1 -8 -42

35 Food Preparation and Serving Related 31 24 24 0 0.0 -7 -22

37 Building and Grounds Cleaning and Maintenance 9 12 13 1 8.3 4 4439 Personal Care and Service 11 13 14 1 7.7 3 27

41 Sales and Related 62 46 38 -8 -17.4 -24 -38

43 Office and Administrative Support 172 153 138 -15 -9.8 -34 -19

45 Farming, Fishing, and Forestry 14 13 12 -1 -7.7 -2 -14

47 Construction and Extraction 318 252 284 32 12.7 -34 -10

49 Installation, Maintenance, and Repair 78 77 73 -4 -5.2 -5 -6

51 Production 138 108 115 7 6.5 -23 -16

53 Transportation and Material Moving 189 153 159 6 3.9 -30 -15

55 Military Specific 2 0 1 1 --- -1 -50

Not Classified 3 1 0 -1 -100.0 -3 -100

TOTAL, OUT-OF-STATE ACTIVE RESUMÉS 1,472 1,204 1,224 20 1.7 -248 -16

PCT CHG NUM CHG PCT CSOC CODE/OCCUPATIONAL GROUP


2014 2015 2015 NUM CHG

0

50

100

150

200

250

300

350

11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 5






ACTIVE RESUMÉS DATA IN-STATE ACTIVE RESUM

Adams 12 6 6 0 0.0 -6 -50

Barnes 134 136 126 -10 -7.4 -8 -6

Benson 51 37 40 3 8.1 -11 -21

Billings 5 3 3 0 0.0 -2 -40

Bottineau 19 39 46 7 17.9 27 142

Bowman 5 13 15 2 15.4 10 200Burke 16 15 15 0 0.0 -1 -6

Burleigh 901 997 1,008 11 1.1 107 11

Cass 1,395 1,615 1,527 -88 -5.4 132 9

Cavalier 8 8 8 0 0.0 0 0

Dickey 18 25 23 -2 -8.0 5 27

Divide 6 14 14 0 0.0 8 133

Dunn 19 56 47 -9 -16.1 28 147

Eddy 11 11 9 -2 -18.2 -2 -18

Emmons 26 8 9 1 12.5 -17 -65

Foster 9 9 9 0 0.0 0 0

Golden Valley 9 15 15 0 0.0 6 66

Grand Forks 475 487 488 1 0.2 13 2Grant 5 6 9 3 50.0 4 80

Griggs 4 6 5 -1 -16.7 1 25

Hettinger 20 19 21 2 10.5 1 5

Kidder 15 11 10 -1 -9.1 -5 -33

LaMoure 19 13 14 1 7.7 -5 -26

Logan 5 2 3 1 50.0 -2 -40

McHenry 57 71 75 4 5.6 18 31

McIntosh 5 3 3 0 0.0 -2 -40

McKenzie 65 155 134 -21 -13.5 69 106

McLean 41 51 52 1 2.0 11 26

Mercer 143 140 148 8 5.7 5 3

Morton 320 314 322 8 2.5 2 0Mountrail 71 92 77 -15 -16.3 6 8

Nelson 12 15 11 -4 -26.7 -1 -8

Oliver 16 17 15 -2 -11.8 -1 -6

Pembina 20 35 36 1 2.9 16 80

Pierce 9 9 11 2 22.2 2 22

Ramsey 134 136 114 -22 -16.2 -20 -14

Ransom 13 16 15 -1 -6.3 2 15

Renville 20 24 24 0 0.0 4 20

Richland 144 142 136 -6 -4.2 -8 -5

Rolette 218 252 291 39 15.5 73 33

Sargent 9 9 9 0 0.0 0 0

Sheridan 2 6 7 1 16.7 5 250Sioux 19 18 24 6 33.3 5 26

Slope 1 1 1 0 0.0 0 0

Stark 528 731 772 41 5.6 244 46

Steele 5 8 6 -2 -25.0 1 20

Stutsman 193 189 183 -6 -3.2 -10 -5

Towner 10 16 15 -1 -6.3 5 50

Traill 26 28 25 -3 -10.7 -1 -3

Walsh 74 67 64 -3 -4.5 -10 -13

Ward 1,064 1,319 1,324 5 0.4 260 24

Wells 26 16 16 0 0.0 -10 -38

Williams 700 882 836 -46 -5.2 136 19

PCT CCOUNTY NAME


2014 2015 2015 NUM CHG PCT CHG NUM CHG





SUPPLY/DEMAND RATES

JOB OPENINGS RATE (%)

NORTH DAKOTA 4.2 4.3 4.0 4.0 3.7 3.6 3

UNITED STATES 3.5 3.7 3.6 4.2 3.8 3.7 -

UNEMPLOYED PER JOB OPENING

NORTH DAKOTA 0.4 0.6 0.7 0.6 0.6 0.5 0

UNITED STATES 1.7 1.5 1.6 1.4 1.5 1.4 -

2015 20

2015 2015 20

AUG SEP OC

2015

OCT MAY JUN JUL

2014 2015 2015 2015

The job openings rate is simply the percentage of all jobs in the economy open and available and is calculated by taking the number of job openings divided by total nonfarm

employment (filled jobs) from the Current Employment Statistics (CES) program plus job openings (unfilled jobs). A higher rate is an indicator of increased job opportunities f

seekers. This supply/demand rate includes those working more than one job and commuting from out of state. The latest month for which North Dakota employment data are

available is October 2015. The latest month for which U.S. job openings data are available is September 2015. U.S. data taken from the U.S. Bureau of Labor Statistics.

Unemployed per job opening is a supply/demand rate calculated by taking the number of unemployed persons from the Local Area Unemployment Statistics (LAUS) program

dividing by job openings. A result less than 1 indicates more job openings than potential resident labor supply while a result greater than 1 indicates more potential resident l

supply than job openings. The latest month for which North Dakota unemployment data are available is October 2015. The latest month for which U.S. job openings data are

available is September 2015. U.S. data taken from the U.S. Bureau of Labor Statistics.

OCT MAY JUN JUL AUG SEP OC

2014 2015 2015 2015

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

3.0%

3.5%

4.0%

4.5%

5.0%

'10

OCT

'11

OCT

'12

OCT

'13

OCT

'14

OCT

'1

OC

US ND

0.0

1.0

2.0

3.0

4.0

5.0

6.0

'10

OCT

'11

OCT

'12

OCT

'13

OCT

'14

OCT

'1

O

US ND

FIVE-YEAR TREND

FIVE-YEAR TREND




Dunn2.6

Ward

0.6

Cass0.3

Billings

McLean2.4

Grant5.2

McKenzie0.9

Morton1.2

Williams0.7

Stark0.6

Stutsman0.3

Wells1.3

Sheridan

Kidder 16.5

Slope4.5

Barnes0.4

Walsh0.8

McHenry

3.1

Mountrail

0.7

Divide2.2

Sioux0.5

Burleigh0.3

Burke4.0

Benson1.1

Cavalier 4.9

Emmons2.0

Bottineau1.8

Traill1.2

Pierce

1.0

Dickey0.6

Richland0.6

Ramsey0.4

Mercer 0.8

Logan1.7

Nelson3.5

Towner 2.2

Adams0.9

Bowman1.4

Rolette5.4

LaMoure1.8

Pembina2.3

Eddy4.9

Oliver 0.9

Hettinger 0.8

Grand Forks0.3

Steele1.2

Sargent0.7

Renville2.6

McIntosh1.5

Griggs2.4

Ransom0.8

Foster 0.4

GoldenValley

1.1

NORTH DAKOTA COUNTY SUPPLY/DEMAND RATES

North Dakota Supply/Demand Rate (Not Seasonally Adjusted): 0.5

Source: Labor Market Information Center, Job Service North Dakota, Online Job Openings Report

COUNTY SUPPLY/DEMAND RATES (OCTOBER 2015)

< 1.0 1.0 - 2.4 2.5 - 4.9 5.0 - 9.9 > 9.9

[Map Creation Date: November 23, 2015 Author: Labor Market Information Center, Job Service North Dakota]

Unemployed Per Job Opening

A supply/demand rate could not be calculated for counties shaded in gray because zero job openings were reported in the reference period




SUPPLY/DEMAND RATES

UNEMPLOYED PER JOB OPENING

Adams 0.8 0.7 1.1 0.8 0.4 0.4 0

Barnes 0.5 0.5 0.7 1.1 0.7 0.5 0

Benson 1.4 1.1 0.9 1.0 1.3 1.3 1

Billings 10.0 3.8 4.0 1.9 1.2 1.6 -Bottineau 1.6 2.2 3.5 2.5 2.4 2.4 1

Bowman 1.1 0.6 0.8 0.8 2.1 1.6 1

Burke 1.3 1.8 1.9 1.3 2.5 3.0 4

Burleigh 0.3 0.4 0.4 0.3 0.3 0.3 0

Cass 0.3 0.3 0.4 0.4 0.4 0.3 0

Cavalier 2.2 0.8 0.8 0.8 2.1 2.0 4

Dickey 0.5 0.5 0.6 0.5 0.6 0.5 0

Divide 0.4 0.9 1.4 1.1 2.6 10.0 2

Dunn 0.4 1.3 2.3 1.6 1.9 2.0 2

Eddy 3.6 4.4 3.1 3.6 8.0 8.4 4

Emmons 2.9 1.1 1.4 1.1 1.4 1.7 2

Foster 0.6 0.7 0.6 0.5 0.5 0.6 0

Golden Valley 1.2 1.3 0.7 0.5 1.0 1.4 1

Grand Forks 0.4 0.5 0.6 0.5 0.4 0.4 0

Grant 13.0 3.2 5.8 2.2 3.6 6.4 5

Griggs 0.7 3.1 1.4 0.8 1.6 2.4 2

Hettinger 1.8 1.1 1.4 1.1 1.2 1.2 0

Kidder 5.8 1.5 7.0 3.8 14.3 5.5 16

LaMoure 0.8 1.5 1.1 1.3 1.5 1.4 1

Logan 1.1 1.7 2.2 2.0 2.8 3.5 1

McHenry 3.0 2.6 4.4 2.9 4.4 6.0 3

McIntosh 2.4 1.4 1.7 1.7 2.0 2.0 1

McKenzie 0.4 0.6 0.8 0.7 0.8 0.8 0

McLean 2.4 1.3 3.3 2.8 2.6 2.7 2

Mercer 0.6 0.6 1.3 1.1 1.2 0.7 0Morton 0.9 1.0 1.6 1.1 1.1 1.1 1

Mountrail 0.4 0.5 0.6 0.6 0.6 0.5 0

Nelson 1.3 0.7 1.4 1.0 2.6 3.2 3

Oliver 2.6 1.2 2.1 1.6 6.0 0.9 0

Pembina 0.9 1.6 1.7 1.4 3.5 1.0 2

Pierce 1.1 1.1 1.8 1.1 1.6 1.0 1

Ramsey 0.4 0.5 0.7 0.6 0.4 0.4 0

Ransom 1.0 1.1 1.6 1.0 1.4 1.1 0

Renville 1.9 1.0 2.0 2.1 2.3 3.1 2

Richland 0.7 0.8 0.8 0.7 0.5 0.6 0

Rolette 5.0 5.3 8.5 6.9 10.7 6.0 5

Sargent 1.0 0.8 1.1 0.5 0.9 1.0 0

Sheridan 8.0 16.0 16.5 6.0 8.0 7.7 -

Sioux 1.1 1.1 1.5 0.7 1.3 0.7 0

Slope 9.0 14.0 19.0 --- --- 10.0 4

Stark 0.2 0.5 0.6 0.4 0.5 0.5 0

Steele 2.2 1.7 1.4 1.4 1.9 2.3 1

Stutsman 0.4 0.5 0.6 0.5 0.5 0.3 0

Towner 3.4 2.1 1.7 0.9 0.9 1.6 2

Traill 1.0 1.4 1.6 1.0 1.5 1.0 1

Walsh 0.7 1.1 1.8 1.2 1.1 0.9 0

Ward 0.3 0.5 0.6 0.5 0.6 0.6 0

Wells 1.3 3.0 3.8 1.9 2.2 1.4 1

Williams 0.2 0.5 0.6 0.4 0.6 0.5 0

Less than 1 indicates more job openings than potential resident labor supply while greater than 1 indicates more potential resident labor supply than job openings. The lates

month for which North Dakota unemployment data are available is October 2015.

SEP OC

2015 2015 202015

MAY JUN JUL AUG

2015COUNTY NAME

OCT

2014 2015





SUPPLY/DEMAND RATES IN-STATE ACTIVE RESUMACTIVE RESUMÉS PER JOB OPENING

11 Management 0.4 0.4 0.5 0.6 0.7 0.8 013 Business and Financial Operations 0.3 0.6 0.5 0.5 0.5 0.5 0

15 Computer and Mathematical 0.2 0.3 0.3 0.4 0.4 0.4 0

17 Architecture and Engineering 0.2 0.2 0.2 0.2 0.2 0.2 0

19 Life, Physical, and Social Science 0.7 0.5 0.6 0.6 1.0 0.8 0

21 Community and Social Service 0.7 0.7 0.7 0.7 0.5 0.6 0

23 Legal 0.4 0.9 0.4 0.7 0.9 1.0 0

25 Education, Training, and Library 0.3 0.2 0.3 0.3 0.4 0.4 0

27 Arts, Design, Entertainment, Sports, and Media 0.3 0.3 0.3 0.3 0.3 0.4 0

29 Healthcare Practitioners and Technical 0.1 0.1 0.1 0.1 0.1 0.1 0

31 Healthcare Support 0.7 0.6 0.5 0.5 0.6 0.6 0

33 Protective Service 0.6 0.4 0.3 0.5 0.4 0.6 0

35 Food Preparation and Serving Related 0.2 0.4 0.4 0.4 0.2 0.2 0

37 Building and Grounds Cleaning and Maintenance 0.4 0.5 0.5 0.5 0.6 0.8 0

39 Personal Care and Service 0.3 0.3 0.4 0.4 0.3 0.4 0

41 Sales and Related 0.3 0.3 0.3 0.4 0.4 0.4 0

43 Office and Administrative Support 0.8 1.2 1.1 1.2 1.2 1.1 1

45 Farming, Fishing, and Forestry 0.2 0.2 0.3 0.2 0.4 0.3 0

47 Construction and Extraction 0.9 0.8 0.9 0.9 0.9 1.3 2

49 Installation, Maintenance, and Repair 0.3 0.4 0.4 0.4 0.4 0.5 0

51 Production 0.6 1.0 1.0 0.9 0.8 1.0 1

53 Transportation and Material Moving 0.3 0.6 0.5 0.5 0.5 0.6 0

NORTH DAKOTA 0.4 0.4 0.4 0.5 0.5 0.5 0

Active resumés per job opening is a supply/demand rate that uses active online resumés as the supply input and is the most timely of the supply/demand rates. For this mea

only local active online resumés (i.e. resumés tied to an in-state North Dakota address) were used in the calculation in order to get a more accurate measure of the local sup

situation. Out-of-state resumés were excluded from this calculation. A result less than 1 indicates more job openings than local active resumés, while a result greater than 1

indicates more local active resumés than job openings. Also, this is the only supply/demand rate that can generate results at the occupational group level.

2015 20152014 2015 2015 2015

SEP OCT NOSOC CODE/OCCUPATIONAL GROUP

NOV JUN JUL AUG

20

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

'10

NOV

'11

NOV

'12

NOV

'13

NOV

'14

NOV

'1

N

FIVE-YEAR TREND





SUPPLY/DEMAND RATES IN-STATE ACTIVE RESUMACTIVE RESUMÉS PER JOB OPENING

Less than 1 indicates more job openings than local active resumés, while a result greater than 1 indicates more local active resumés than job openings.

Adams 0.4 0.3 0.3 0.1 0.2 0.2 0

Barnes 0.5 0.5 0.5 0.5 0.5 0.5 0

Benson 3.6 0.3 0.3 0.5 0.6 0.5 0

Billings 5.0 1.5 0.9 0.5 0.4 --- 3

Bottineau 0.3 0.8 0.6 0.6 0.8 0.6 0

Bowman 0.3 0.3 0.3 1.0 1.0 0.7 0

Burke 0.8 0.5 0.3 1.3 1.7 1.7 1

Burleigh 0.3 0.3 0.4 0.4 0.4 0.4 0

Cass 0.3 0.3 0.3 0.3 0.3 0.3 0

Cavalier 0.7 0.1 0.1 0.4 0.3 1.0 0

Dickey 0.2 0.3 0.2 0.2 0.2 0.3 0

Divide 0.1 0.5 0.5 1.0 4.7 1.3 3

Dunn 0.3 1.1 1.0 1.2 1.7 2.2 1

Eddy 1.0 0.3 0.4 1.5 2.0 1.4 0

Emmons 1.1 0.4 0.2 0.3 0.2 0.3 0

Foster 0.2 0.1 0.1 0.2 0.2 0.1 0

Golden Valley 1.8 0.5 0.3 0.4 1.1 1.0 0

Grand Forks 0.2 0.3 0.3 0.3 0.2 0.2 0

Grant 1.0 0.3 0.3 0.6 1.6 1.0 1

Griggs 0.1 0.4 0.4 0.5 0.9 0.8 0

Hettinger 1.0 0.7 0.8 0.8 0.7 0.5 0

Kidder --- 0.9 0.5 3.0 1.8 5.5 1

LaMoure 0.4 0.2 0.3 0.4 0.5 0.7 0

Logan 0.3 0.1 0.2 0.4 0.3 0.2 0

McHenry 2.9 2.2 2.1 3.2 4.8 2.6 2

McIntosh 0.6 0.2 0.3 0.3 0.3 0.2 0

McKenzie 0.2 0.5 0.6 0.7 0.6 0.7 0

McLean 0.7 0.8 0.8 0.7 0.7 1.1 1

Mercer 0.6 1.0 0.8 0.9 0.7 0.8 1Morton 1.0 1.1 0.9 0.9 1.0 1.2 1

Mountrail 0.3 0.3 0.3 0.3 0.4 0.4 0

Nelson 0.4 0.2 0.2 0.8 1.2 1.4 0

Oliver 1.5 0.6 0.4 1.7 0.2 0.5 1

Pembina 0.3 0.3 0.2 0.3 0.3 0.7 0

Pierce 0.2 0.2 0.2 0.3 0.2 0.2 0

Ramsey 0.5 0.5 0.4 0.3 0.4 0.5 0

Ransom 0.2 0.5 0.4 0.5 0.4 0.3 0

Renville 1.5 1.1 1.2 1.3 2.1 1.6 0

Richland 0.6 0.5 0.5 0.4 0.5 0.5 0

Rolette 3.8 3.3 3.1 4.9 5.7 4.7 4

Sargent 0.3 0.2 0.1 0.2 0.2 0.2 0

Sheridan 1.0 2.0 1.8 2.3 2.3 --- 2

Sioux 0.8 0.3 0.2 0.4 0.2 0.2 0

Slope 1.0 1.0 --- --- 1.0 0.5 1

Stark 0.3 0.6 0.6 0.6 0.7 0.9 1

Steele 0.3 0.3 0.4 0.6 1.1 0.6 0

Stutsman 0.4 0.4 0.4 0.4 0.3 0.3 0

Towner 1.0 0.4 0.4 0.4 0.8 1.5 0

Traill 0.2 0.5 0.3 0.4 0.3 0.4 0

Walsh 0.5 0.5 0.4 0.4 0.4 0.4 0

Ward 0.5 0.6 0.7 0.8 0.8 0.9 1

Wells 0.6 0.8 0.5 0.6 0.5 0.4 0

Williams 0.4 0.6 0.6 0.8 0.7 0.9 1

OCT NO

2014 2015 2015 2015 2015 2015 20

SEPCOUNTY NAME

NOV JUN JUL AUG




SOC CODE AND OCCUPATIONAL GROUP STRUCTURE

2014 ND

AVG HRLY SOC CODE/OCCUPATIONAL GROUP

WAGE ($) [Sample Occupations]

46.79 11 MANAGEMENT

[Managers, Education Administrators, Farmers and Ranchers, Human Resource Managers]

27.19 13 BUSINESS AND FINANCIAL OPERATIONS

[Accountants, Auditors, Loan Officers, Tax Preparers]

29.67 15 COMPUTER AND MATHEMATICAL

[Computer Programmers, Computer and Network Administrators, Web Developers, Statisticians]

31.64 17 ARCHITECTURE AND ENGINEERING

[Engineers, Drafters, Architects, Surveyors]

27.93 19 LIFE, PHYSICAL, AND SOCIAL SCIENCE

[Biologists, Chemists, Economists]

21.66 21 COMMUNITY AND SOCIAL SERVICE

[Social Workers, Clergy, Counselors, Social and Human Service Assistants]

33.98 23 LEGAL

[Lawyers, Court Reporters, Judges, Magistrate Judges, Magistrates, Paralegal and Legal Assistants]

23.50 25 EDUCATION, TRAINING, AND LIBRARY

[Elementary School Teachers, Secondary School Teachers, Special Education Teachers, Librarians]

17.75 27 ARTS, DESIGN, ENTERTAINMENT, SPORTS, AND MEDIA

[Musicians and Singers, Photographers, Reporters and Correspondents, Umpires, Referees]

31.22 29 HEALTHCARE PRACTITIONERS AND TECHNICAL

[Physicians and Surgeons, Dentists, Pharmacists, Registered Nurses, EMTs and Paramedics, Chiropractors]

14.60 31 HEALTHCARE SUPPORT

[Home Health Aides, Medical Assistants, Medical Transcriptionists, Nursing Aides and Orderlies]

19.46 33 PROTECTIVE SERVICE

[Correctional Officers, Firefighters, Police and Sheriff's Patrol Officers, Lifeguards]

10.76 35 FOOD PREPARATION AND SERVING RELATED

[Cooks, Bartenders, Waiters and Waitresses, Counter Attendants, Dishwashers]

12.96 37 BUILDING AND GROUNDS CLEANING AND MAINTENANCE

[Janitors and Cleaners, Landscaping and Groundskeeping Workers, Maids and Housekeeping Cleaners]

12.74 39 PERSONAL CARE AND SERVICE

[Childcare Workers, Hairdressers, Hairstylists, Fitness Trainers, Personal and Home Care Aides]

17.54 41 SALES AND RELATED

[Cashiers, Retail Salespersons, Insurance Sales Agents, Telemarketers]

16.24 43 OFFICE AND ADMINISTRATIVE SUPPORT

[Secretaries and Administrative Assistants, Office Clerks, Receptionists, Tellers]

16.15 45 FARMING, FISHING, AND FORESTRY

[Farmworkers and Laborers, Graders and Sorters of Agricultural Products, Hunters and Trappers]

24.35 47 CONSTRUCTION AND EXTRACTION

[Carpenters, Electricians, Plumbers, Roofers, Oil and Gas Roustabouts]

24.15 49 INSTALLATION, MAINTENANCE, AND REPAIR

[Automotive Body Repairers, Mechanics, Electrical Power-Line Installers, Wind Turbine Service Technicians]

19.81 51 PRODUCTION

[Assemblers and Fabricators, Machinists, Tool and Die Makers, Welders, Cutters, Solderers, Brazers]

20.52 53 TRANSPORTATION AND MATERIAL MOVING

[Airline Pilots, Bus Drivers, Truck Drivers, Industrial Truck and Tractor Operators, Packers and Packagers]

--- 55 MILITARY SPECIFIC OCCUPATIONS

[Aircrew Officers, Infantry, Radar and Sonar Technicians, Special Forces]




ONLINE JOB OPENINGS REPORT NOTES

BACKGROUND

The Online Job Openings Report (OJOR) is the earliest monthly indicator of North Dakota’s labor market activity and provides a

timely overview of the current supply/demand dynamic. The OJOR is generally published the first working Wednesday of the month

following the reference month (i.e. January data published the first working Wednesday in February), though exceptions may occur.

The report involves the monthly collection, processing, and dissemination of online job openings posted by employers and online

resumé activities of job seekers. Both job openings and active resumés are published for major occupational groups at statewide and

regional levels. Data for counties are only available at a total aggregate level.

Various supply/demand rates are calculated for major occupational groups and select geographies. Job openings and active resumés

data are used to calculate the rate of active resumés per job opening. Unemployment data from the Local Area Unemployment

Statistics (LAUS) program is used to calculate the rate of unemployed persons per job opening and employment data from the

Current Employment Statistics (CES) program is used to calculate the job openings rate. All these supply/demand rates provide users

with alternate views of the local labor supply/demand situation. For comparability, national level job openings data from the U.S.

Bureau of Labor Statistics (BLS) are extracted from the Job Openings and Labor Turnover Survey (JOLTS) and featured in the report.

For a detailed description of the various supply/demand rates, see the ‘Terms and Concepts’ section.

METHODOLOGY AND COVERAGE

The OJOR is essentially a universe count of all North Dakota worksites with online advertised jobs posted either directly with Job

Service North Dakota or indirectly through other online job sites. It should be stressed that coverage is limited to jobs posted online.Job vacancies advertised strictly through word-of-mouth, local print-only newspapers, outdoor signage, or any other non-online

means are not counted.

The database from the Job Service North Dakota online labor exchange system is the underlying source for the OJOR and its

corresponding time series. The data are a combination of local openings brought into the system either internally or externally. An

internal job opening is submitted directly to the labor exchange system by either local office staff or authorized local employers. An

external job opening is "spidered" into the system from outside online job sites including corporate, educational institution, newspaper

government, private job board, and recruiter sites. Keep in mind, almost all of the online job openings and active resumés data are

self-reported by the employer and job seeker, respectively, so accuracy cannot necessarily be guaranteed though system checks are

in place to flag potential errors. Every effort is made to ensure the report is constructed using deduplicated data. The deduplication

process involves the systematic analysis of key fields of each opening, such as company name, job title/description, and location,

against all openings, flagging potential duplicate matches. Active resumés are deduplicated against the user name and occupational

code fields. An analyst reviews and eliminates legitimate duplicates.

The OJOR is not subject to the typical sampling error and non-response error components associated with most statistical surveys.

Non-sampling error sources would include population under-coverage due to missing a portion of the targeted population (e.g. a large

Internet job board), and over-coverage due to the inability to fully eliminate duplicate job openings. Additional potential sources of

non-sampling error would include occupational and/or geographic coding errors which could affect the proper classification of

individual job openings.

Occupational coding is done at the 6-digit 2010 Standard Occupational Classification (SOC) level. The SOC coding used in the OJOR

is the same definitional coding used for federal employment and unemployment statistics. It should be noted that are no changes at

the major occupational group level between the 2000 and 2010 SOC structures, though the detailed composition of the groups may

have changed but not enough to be significant at the group level.

The geographic coding for an internal opening is determined by information submitted directly to the labor exchange system by either

local office staff or authorized local employers. An external opening is coded against location information from the original posting.

Data are not seasonally adjusted and subject to revision. Dashes (---) indicate data not available.

TERMS AND CONCEPTS

DATA REFERENCE PERIOD. The OJOR collects data using a mid-month reference period (the week that includes the 12th of the month),

which is standard for most BLS programs and provides a more accurate comparison for measures using data from those sources.

JOB OPENINGS. Job openings include all open and available online openings during the reference period. This figure may include

openings posted no more than 90 days prior but still active during the reference period, as well as new openings.





ACTIVE RESUMÉS. Active resumés are all online resumés that have been created or otherwise modified during the reference period.

This figure may include resumés posted no more than 90 days prior but still active during the reference period, as well as new

resumés. Active resumés may include those created by out-of-state candidates. Candidates may post multiple online resumés so

active resumés should not be interpreted as an individual candidate count. Active resumés are not necessarily an indicator of

unemployment since candidates posting resumés may or may not be unemployed.

SUPPLY/DEMAND RATES. Supply/demand rates, as outlined below, only provide a measure of relative slack of the labor market and

whether a potential imbalance exists, but does not suggest that the qualifications of the job seekers directly align with the

requirements of the advertised vacancies. Over time, these rates tend to trend closely with the general economic cycle, specifically

labor market contractions/expansions.

JOB OPENINGS RATE. The job openings rate is simply the percentage of all jobs in the economy open and available and is calculated

by taking the number of job openings divided by total nonfarm employment (filled jobs) from the CES program plus job openings

(unfilled jobs). The number of unfilled jobs is an important measure of the unmet demand for labor. With that statistic, it is possible to

paint a more complete picture of the state's labor market than by looking solely at the unemployment rate, a measure of the excess

supply of labor. A higher rate is an indicator of increased job opportunities for seekers. This supply/demand rate includes those

working more than one job and commuting from out of state. Calculations for the U.S. job openings rate use data from the JOLTS.

Due to timing issues, supplemental data used to calculate this rate typically lag one month, therefore the most recent published rate

will lag one month in the latest published report. The U.S. data typically lag two months.

ACTIVE RESUMÉS PER JOB OPENING. Active resumés per job opening is a supply/demand rate that uses active online resumés as thesupply input and is the most timely of the supply/demand rates. For this measure, only local active online resumés (i.e. resumés tied

to an in-state North Dakota address) were used in the calculation in order to get a more accurate measure of the local supply

situation. Out-of-state resumés are excluded from this calculation. A result less than 1 indicates more job openings than local active

resumés, while a result greater than 1 indicates more local active resumés than job openings. Also, this is the only supply/demand

rate that generates results at the occupational group level.

UNEMPLOYED PER JOB OPENING. Unemployed per job opening is a supply/demand rate calculated by taking the number of unemployed

persons from the LAUS program and dividing by job openings. A result less than 1 indicates more job openings than potential

resident labor supply, while a result greater than 1 indicates more potential resident labor supply than job openings. Calculations for

the U.S. rate of unemployed persons per job opening are based on data from the JOLTS and the Current Population Survey (CPS)

from the BLS. Due to timing issues, supplemental data used to calculate this rate typically lag one month, therefore the most recent

published rate will lag one month in the latest published report. The U.S. data typically lag two months.

OCCUPATIONAL DATA. Occupational groups are based on the 2010 SOC coding system. Openings and resumés are coded to the 6-

digit SOC level whenever possible. Data are aggregated to the major occupational group level.

UNEMPLOYMENT DATA. The unemployment data used in this report come from the CPS and the LAUS programs. Both programs

provide timely and accurate data on the unemployed and are used to calculate supply/demand rates of unemployed per job opening.

The unemployed are defined as those 16 years of age and older who were unemployed but actively seeking and available for work

within the last month.

REGIONAL DATA. The eight North Dakota regions were established in 1968 are made up of groupings of counties around a regional

city center providing a majority of the services and exhibiting the greatest economic influence. Openings data are coded based on

worksite location. Resumés data are coded based on the current residential address of the job seeker. While the regional reports are

not as comprehensive as the statewide report, they do provide some local detail and comparisons not otherwise available.

WAGE DATA. The average hourly wage data are the latest available from the Occupational Employment Statistics (OES) program.

OES wage data provide an accurate, comprehensive, point-in-time snapshot of wage levels of currently employed workers across all

800 SOC occupations. These wage data should not be interpreted as an advertised wage for openings in that occupational group.

Occupational wage data specific to the OJOR regions are not available, instead, state-level North Dakota occupational wages are

provided as a general guide.

DATA INTERPRETATION

The OJOR contains a lot of data and information. For many, the issue becomes how to interpret it. While the top-line numbers get the

most attention, the emphasis in interpreting the data should focus on the trend over time. Since the time series is not seasonally

adjusted, the most appropriate comparison for any month should be the same month one year earlier.





Job openings data reflect a relative demand for labor. Job openings include all open and available online openings. It should not be

assumed that the published job openings number is the entirety of the job openings market. There is a segment of the job openings

market that relies solely on means other than online to recruit workers. Those openings aren’t captured in the OJOR.

Active resumés data reflect a relative supply of labor. Active resumés include all online resumés that have been created or otherwise

modified by job seekers with a desire to work in North Dakota. Therefore, a segment of active resumés belong to out-of-state

candidates. Candidates may post multiple online resumés so active resumés should not be interpreted as an individual candidate

count. Active resumés are not necessarily an indicator of unemployment since candidates posting resumés may or may not be

unemployed. It should not be assumed that the published active resumés number is the entirety of the potential labor supply market.

For example, those unemployed who haven’t created an online resumé are not counted in the active resumé total. Similarly, “casual”

job seekers who may peruse job openings but not create an online resumé are not included in the count.

Supply/demand rates are a calculation used to reconcile the relationship between labor market demand (e.g. job openings) and labor

market supply (e.g. active resumés, unemployed). The resulting ratios highlight the relative slack of the labor market for occupational

groups and select geographies. Generally, supply/demand rates (e.g. active resumés per job opening, unemployed persons per job

opening) below 1 indicate a greater need for workers in an occupational group or area. In other words, there’s not enough supply

(workers) to keep up with demand (job openings). Generally, the opposite is true when supply/demand rates exceed 1. Of course,

such an analysis only provides a general idea of where excess demand exists; it does not necessarily indicate a match if a candidate

doesn’t have the individual education, skills, or experience to get hired. Caution should be exercised when interpreting

supply/demand rates. Occupational groups and geographies with a small number of openings exhibit much more volatility and may

skew a user’s interpretation of an area’s labor market situation. It’s important to reference the number of openings for an occupationalgroup or geography in order to add context to any supply/demand analysis (high/low rates may mask a relatively small labor market

demand and/or supply).This is especially true for geographies with small populations and labor forces.

Career planning and exploration is an integral component to a successful work life. Students are increasingly being introduced to

career planning and exploration activities early on in their academic life. In conjunction with other pieces of labor market information

(e.g. projections, wages, skill requirements, etc.), the supply/demand data can alert students, educators, and counselors to excess

supply or higher demand in certain occupational groups or geographies. For job seekers, the OJOR data can help focus job searches

and highlight occupational groups and/or geographic areas with the greatest opportunities or toughest competition. The business

community, economic developers, and policy makers use supply/demand data to track trends in the labor market. OJOR data can

potentially highlight labor imbalances. This can be especially helpful if a business is looking to expand or relocate, therefore needing a

supply of available workers. Economic developers and policy makers use the data to gauge the general health of the economy and

look for opportunities to maximize labor supply and demand.

November Job Openings

Documents

Transcript of November Job Openings