| Manufacturing vs. Administrative and Waste Services
Average Earnings Per Job Structure and Growth by County
Minnesota, 2001-2022 | | | | | | Manufacturing vs. Administrative and Waste Services
Minnesota Average Earnings Per Job Distribution by County: Percent of Overall County Average, 2022 | More
than
220% | 220%
to
200% | 200%
to
180% | 180%
to
160% | 160%
to
140% | 140%
to
120% | 120%
or
Below | Suppressed
or
Undefined | Total | Manufacturing | 4 | 1 | 1 | 12 | 24 | 21 | 19 | 5 | 87 | Administrative and Waste Services | 0 | 0 | 0 | 0 | 0 | 1 | 63 | 23 | 87 |
| | | | | |
| | | | | | Manufacturing vs. Administrative and Waste Services
Average Earnings Per Job Structure by County:
Minnesota, 2022 | | Manufacturing | | Administrative and Waste Services | | | | | | | | | | | | | | 64,361 | 145.9 | 64.8 | 65.2 | | S | S | S | S | | | 102,368 | 160.0 | 103.1 | 103.6 | | 47,331 | 74.0 | 85.8 | 89.3 | | | 66,084 | 128.1 | 66.6 | 66.9 | | 29,576 | 57.3 | 53.6 | 55.8 | | | 63,258 | 115.2 | 63.7 | 64.0 | | S | S | S | S | | | 69,846 | 121.2 | 70.4 | 70.7 | | 46,047 | 79.9 | 83.5 | 86.9 | | | S | S | S | S | | 26,873 | 40.5 | 48.7 | 50.7 | | | 95,348 | 159.2 | 96.0 | 96.5 | | 41,532 | 69.3 | 75.3 | 78.4 | | | 87,652 | 140.6 | 88.3 | 88.7 | | 23,297 | 37.4 | 42.2 | 44.0 | | | 94,791 | 167.8 | 95.5 | 96.0 | | S | S | S | S | | | 105,538 | 160.5 | 106.3 | 106.8 | | 55,163 | 83.9 | 100.0 | 104.1 | | | 60,376 | 144.2 | 60.8 | 61.1 | | 34,957 | 83.5 | 63.4 | 66.0 | | | 70,461 | 121.9 | 71.0 | 71.3 | | 32,341 | 55.9 | 58.6 | 61.0 | | | 69,813 | 128.6 | 70.3 | 70.7 | | S | S | S | S | | | 104,278 | 189.4 | 105.0 | 105.6 | | S | S | S | S | | | 83,129 | 166.6 | 83.7 | 84.2 | | 22,459 | 45.0 | 40.7 | 42.4 | | | 49,696 | 112.0 | 50.1 | 50.3 | | 34,133 | 76.9 | 61.9 | 64.4 | | | 58,614 | 90.8 | 59.0 | 59.3 | | 44,428 | 68.8 | 80.6 | 83.9 | | | 63,459 | 120.4 | 63.9 | 64.2 | | 33,341 | 63.3 | 60.5 | 62.9 | | | 113,953 | 159.2 | 114.8 | 115.4 | | 51,014 | 71.2 | 92.5 | 96.3 | | | 83,317 | 138.2 | 83.9 | 84.3 | | 28,665 | 47.5 | 52.0 | 54.1 | | | 87,233 | 150.2 | 87.9 | 88.3 | | 32,072 | 55.2 | 58.2 | 60.5 | | | 73,464 | 120.8 | 74.0 | 74.4 | | 37,987 | 62.5 | 68.9 | 71.7 | | | 70,125 | 151.6 | 70.6 | 71.0 | | 40,569 | 87.7 | 73.6 | 76.6 | | | 69,866 | 123.3 | 70.4 | 70.7 | | 38,673 | 68.2 | 70.1 | 73.0 | | | 108,890 | 164.0 | 109.7 | 110.2 | | 50,298 | 75.8 | 91.2 | 94.9 | | | 65,793 | 109.7 | 66.3 | 66.6 | | S | S | S | S | | | 110,100 | 119.8 | 110.9 | 111.5 | | 64,573 | 70.3 | 117.1 | 121.9 | | | 58,036 | 128.9 | 58.5 | 58.7 | | 39,976 | 88.8 | 72.5 | 75.5 | | | 250,529 | 374.5 | 252.4 | 253.6 | | 22,309 | 33.3 | 40.5 | 42.1 | | | 69,876 | 145.8 | 70.4 | 70.7 | | 55,281 | 115.4 | 100.3 | 104.4 | | | 89,318 | 163.9 | 90.0 | 90.4 | | 37,643 | 69.1 | 68.3 | 71.1 | | | 80,009 | 130.7 | 80.6 | 81.0 | | S | S | S | S | | | 52,918 | 106.3 | 53.3 | 53.6 | | 26,529 | 53.3 | 48.1 | 50.1 | | | 99,435 | 166.1 | 100.2 | 100.7 | | 54,947 | 91.8 | 99.6 | 103.7 | | | 68,931 | 112.4 | 69.4 | 69.8 | | S | S | S | S | | | S | S | S | S | | 19,737 | 34.2 | 35.8 | 37.3 | | | 85,730 | 139.2 | 86.4 | 86.8 | | 19,180 | 31.1 | 34.8 | 36.2 | | | 91,347 | 169.7 | 92.0 | 92.5 | | 23,567 | 43.8 | 42.7 | 44.5 | | | S | S | S | S | | 31,725 | 67.3 | 57.5 | 59.9 | | | 85,464 | 160.8 | 86.1 | 86.5 | | S | S | S | S | | | 79,135 | 148.3 | 79.7 | 80.1 | | S | S | S | S | | | 74,590 | 117.3 | 75.1 | 75.5 | | 37,017 | 58.2 | 67.1 | 69.9 | | | 89,328 | 148.6 | 90.0 | 90.4 | | 44,055 | 73.3 | 79.9 | 83.2 | | | S | S | S | S | | S | S | S | S | | | 83,730 | 109.5 | 84.3 | 84.8 | | S | S | S | S | | | 73,092 | 120.0 | 73.6 | 74.0 | | 36,958 | 60.7 | 67.0 | 69.8 | | | 75,993 | 142.6 | 76.5 | 76.9 | | S | S | S | S | | | 59,086 | 124.2 | 59.5 | 59.8 | | 41,500 | 87.3 | 75.3 | 78.3 | | | 64,061 | 127.6 | 64.5 | 64.8 | | 41,726 | 83.1 | 75.7 | 78.8 | | | 68,880 | 107.2 | 69.4 | 69.7 | | 42,236 | 65.8 | 76.6 | 79.7 | | | 55,015 | 93.3 | 55.4 | 55.7 | | 26,851 | 45.5 | 48.7 | 50.7 | | | 70,143 | 119.1 | 70.7 | 71.0 | | 47,875 | 81.3 | 86.8 | 90.4 | | | 87,251 | 129.8 | 87.9 | 88.3 | | 84,738 | 126.1 | 153.7 | 160.0 | | | 51,034 | 89.0 | 51.4 | 51.7 | | S | S | S | S | | | 121,776 | 156.7 | 122.7 | 123.3 | | 71,796 | 92.4 | 130.2 | 135.5 | | | 74,063 | 142.5 | 74.6 | 75.0 | | 43,980 | 84.6 | 79.8 | 83.0 | | | 76,301 | 119.2 | 76.9 | 77.2 | | 28,833 | 45.1 | 52.3 | 54.4 | | | 52,853 | 122.3 | 53.2 | 53.5 | | 26,607 | 61.6 | 48.3 | 50.2 | | | 118,084 | 169.7 | 118.9 | 119.5 | | 72,337 | 103.9 | 131.2 | 136.5 | | | 81,453 | 142.1 | 82.1 | 82.5 | | S | S | S | S | | | 79,154 | 137.1 | 79.7 | 80.1 | | 19,090 | 33.1 | 34.6 | 36.0 | | | 118,282 | 152.7 | 119.1 | 119.7 | | 54,345 | 70.2 | 98.6 | 102.6 | | | S | S | S | S | | S | S | S | S | | | 150,496 | 172.3 | 151.6 | 152.3 | | 56,064 | 64.2 | 101.7 | 105.8 | | | 88,024 | 131.1 | 88.7 | 89.1 | | 25,207 | 37.6 | 45.7 | 47.6 | | | 91,297 | 160.8 | 92.0 | 92.4 | | 35,641 | 62.8 | 64.6 | 67.3 | | | 58,551 | 90.6 | 59.0 | 59.3 | | 27,673 | 42.8 | 50.2 | 52.2 | | | 88,999 | 140.8 | 89.7 | 90.1 | | S | S | S | S | | | 73,768 | 118.0 | 74.3 | 74.7 | | 42,483 | 67.9 | 77.0 | 80.2 | | | 154,088 | 234.7 | 155.2 | 156.0 | | 68,863 | 104.9 | 124.9 | 130.0 | | | 78,920 | 143.1 | 79.5 | 79.9 | | 39,187 | 71.0 | 71.1 | 74.0 | | | 81,862 | 149.1 | 82.5 | 82.9 | | 39,563 | 72.0 | 71.7 | 74.7 | | | 76,673 | 117.5 | 77.2 | 77.6 | | 43,154 | 66.1 | 78.3 | 81.5 | | | 77,955 | 128.2 | 78.5 | 78.9 | | 38,967 | 64.1 | 70.7 | 73.6 | | | 99,579 | 138.5 | 100.3 | 100.8 | | S | S | S | S | | | 119,283 | 153.0 | 120.2 | 120.7 | | 27,718 | 35.6 | 50.3 | 52.3 | | | 201,932 | 294.7 | 203.4 | 204.4 | | 28,641 | 41.8 | 51.9 | 54.1 | | | 95,685 | 114.7 | 96.4 | 96.9 | | S | S | S | S | | | 69,711 | 138.3 | 70.2 | 70.6 | | S | S | S | S | | | 70,171 | 142.3 | 70.7 | 71.0 | | 14,254 | 28.9 | 25.8 | 26.9 | | | 134,145 | 207.8 | 135.1 | 135.8 | | S | S | S | S | | | 95,118 | 159.4 | 95.8 | 96.3 | | 55,453 | 92.9 | 100.6 | 104.7 | | | 62,865 | 105.8 | 63.3 | 63.6 | | 41,892 | 70.5 | 76.0 | 79.1 | | | 131,204 | 153.3 | 132.2 | 132.8 | | S | S | S | S | | | 84,562 | 151.4 | 85.2 | 85.6 | | 33,038 | 59.1 | 59.9 | 62.4 | | | 84,330 | 156.5 | 84.9 | 85.4 | | 46,753 | 86.8 | 84.8 | 88.3 | | | 181,977 | 300.9 | 183.3 | 184.2 | | S | S | S | S | | | | | | | | | | | | | | 99,273 | 135.8 | 100.0 | 100.5 | | 55,143 | 75.4 | 100.0 | 104.1 | | | 103,851 | 135.6 | 104.6 | 105.1 | | 57,554 | 75.2 | 104.4 | 108.6 | | | 86,985 | 148.1 | 87.6 | 88.1 | | 37,948 | 64.6 | 68.8 | 71.6 | | | | | | | | | | | | | | 98,786 | 138.0 | | 100.0 | | 52,976 | 74.0 | | 100.0 | | | 103,588 | 140.3 | | 104.9 | | 54,359 | 73.6 | | 102.6 | | | 78,138 | 144.8 | | 79.1 | | 36,950 | 68.5 | | 69.7 |
Source: Calculations by the Minnesota Regional Economic Analysis Project (MN-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis November 2023 REAP_PI_CA1700N_510500_511400_SA | | | | | |
| | | | | | Manufacturing vs. Administrative and Waste Services
Average Earnings Per Job Structure by Region:
Minnesota, 2022 | | Manufacturing | | Administrative and Waste Services | Metropolitan Statistical Areas | | | | | | | | | | | | | 81,122 | 132.7 | 81.7 | 82.1 | | S | S | S | S | | | 86,272 | 132.2 | 86.9 | 87.3 | | S | S | S | S | | | 76,553 | 124.1 | 77.1 | 77.5 | | S | S | S | S | | | 81,810 | 131.4 | 82.4 | 82.8 | | 48,018 | 77.1 | 87.1 | 90.6 | | | 83,600 | 140.2 | 84.2 | 84.6 | | 43,582 | 73.1 | 79.0 | 82.3 | | | 106,574 | 135.4 | 107.4 | 107.9 | | 58,398 | 74.2 | 105.9 | 110.2 | | | 104,288 | 143.5 | 105.1 | 105.6 | | S | S | S | S | | | 75,070 | 117.5 | 75.6 | 76.0 | | 43,776 | 68.5 | 79.4 | 82.6 | | | S | S | S | S | | 48,017 | 66.4 | 87.1 | 90.6 | | | | | | | | | | | | | | 99,273 | 135.8 | 100.0 | 100.5 | | 55,143 | 75.4 | 100.0 | 104.1 | | | 103,851 | 135.6 | 104.6 | 105.1 | | 57,554 | 75.2 | 104.4 | 108.6 | | | 86,985 | 148.1 | 87.6 | 88.1 | | 37,948 | 64.6 | 68.8 | 71.6 | | | | | | | | | | | | | | 98,786 | 138.0 | | 100.0 | | 52,976 | 74.0 | | 100.0 | | | 103,588 | 140.3 | | 104.9 | | 54,359 | 73.6 | | 102.6 | | | 78,138 | 144.8 | | 79.1 | | 36,950 | 68.5 | | 69.7 |
Source: Calculations by the Minnesota Regional Economic Analysis Project (MN-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis November 2023 REAP_PI_CA1700N_510500_511400_SB | | | | | |
| | | | | | Manufacturing vs. Administrative and Waste Services
Minnesota Real* Average Earnings Per Job Growth Distribution by County: Growth Rates, 2022 | More
than
5% | 5%
to
4% | 4%
to
3% | 3%
to
2% | 2%
to
1% | 1%
to
0% | 0%
or
Below | Suppressed
or
Undefined | Total | Manufacturing | 19 | 3 | 3 | 2 | 10 | 5 | 39 | 6 | 87 | Administrative and Waste Services | 8 | 1 | 3 | 1 | 6 | 6 | 33 | 29 | 87 |
| | | | | |
| | | | | | Manufacturing vs. Administrative and Waste Services
Real* Average Earnings Per Job Growth by County:
Minnesota, 2022 | | Manufacturing | | Administrative and Waste Services | | | | | | | | | | | | 1.3 | 3.8 | 2.7 | | N | N | N | | | -10.1 | -7.6 | -8.7 | | -5.2 | -5.9 | -4.2 | | | -8.2 | -5.7 | -6.9 | | 1.2 | 0.5 | 2.2 | | | -4.0 | -1.5 | -2.6 | | N | N | N | | | -4.3 | -1.9 | -3.0 | | 4.7 | 4.1 | 5.8 | | | N | N | N | | -4.1 | -4.8 | -3.1 | | | 4.1 | 6.6 | 5.5 | | -3.2 | -3.8 | -2.1 | | | 5.2 | 7.7 | 6.6 | | N | N | N | | | -2.9 | -0.4 | -1.5 | | N | N | N | | | -1.6 | 0.9 | -0.2 | | 1.7 | 1.1 | 2.8 | | | 1.2 | 3.7 | 2.6 | | -15.6 | -16.3 | -14.6 | | | 1.2 | 3.7 | 2.6 | | N | N | N | | | -0.3 | 2.1 | 1.0 | | N | N | N | | | 4.6 | 7.1 | 6.0 | | N | N | N | | | -3.6 | -1.2 | -2.3 | | -2.7 | -3.4 | -1.7 | | | N | N | N | | -0.8 | -1.5 | 0.2 | | | -9.2 | -6.7 | -7.8 | | 2.3 | 1.6 | 3.3 | | | -2.2 | 0.3 | -0.8 | | -5.9 | -6.5 | -4.9 | | | 5.7 | 8.2 | 7.1 | | -6.4 | -7.1 | -5.4 | | | -2.4 | 0.1 | -1.0 | | N | N | N | | | 1.6 | 4.1 | 3.0 | | 1.4 | 0.8 | 2.5 | | | 2.1 | 4.6 | 3.5 | | 22.6 | 21.9 | 23.6 | | | 8.0 | 10.4 | 9.3 | | 13.3 | 12.6 | 14.3 | | | 1.0 | 3.5 | 2.4 | | -1.7 | -2.4 | -0.7 | | | 7.7 | 10.1 | 9.0 | | -7.2 | -7.8 | -6.1 | | | -5.3 | -2.9 | -4.0 | | N | N | N | | | -3.7 | -1.3 | -2.4 | | -0.7 | -1.4 | 0.3 | | | 6.4 | 8.9 | 7.8 | | 5.8 | 5.2 | 6.8 | | | 11.8 | 14.2 | 13.1 | | N | N | N | | | -4.3 | -1.8 | -2.9 | | -1.8 | -2.4 | -0.7 | | | 5.7 | 8.1 | 7.0 | | 3.7 | 3.0 | 4.7 | | | -4.4 | -1.9 | -3.0 | | N | N | N | | | -3.8 | -1.3 | -2.4 | | 7.7 | 7.1 | 8.7 | | | 8.2 | 10.6 | 9.5 | | 19.3 | 18.7 | 20.4 | | | 6.5 | 8.9 | 7.8 | | N | N | N | | | N | N | N | | 0.4 | -0.3 | 1.4 | | | 10.7 | 13.2 | 12.0 | | -17.5 | -18.1 | -16.4 | | | -3.7 | -1.2 | -2.3 | | -13.4 | -14.1 | -12.4 | | | N | N | N | | -18.5 | -19.2 | -17.5 | | | 4.2 | 6.7 | 5.6 | | N | N | N | | | 10.4 | 12.9 | 11.8 | | N | N | N | | | -0.5 | 2.0 | 0.9 | | 0.3 | -0.4 | 1.3 | | | -1.1 | 1.3 | 0.2 | | 1.8 | 1.1 | 2.8 | | | N | N | N | | N | N | N | | | -2.6 | -0.1 | -1.3 | | N | N | N | | | -0.7 | 1.7 | 0.6 | | 0.2 | -0.4 | 1.3 | | | -0.4 | 2.0 | 0.9 | | N | N | N | | | -3.1 | -0.6 | -1.7 | | -50.6 | -51.3 | -49.6 | | | -4.3 | -1.8 | -2.9 | | N | N | N | | | -2.2 | 0.3 | -0.8 | | -1.6 | -2.3 | -0.6 | | | -3.4 | -0.9 | -2.0 | | -3.9 | -4.6 | -2.9 | | | 0.0 | 2.5 | 1.4 | | 25.2 | 24.5 | 26.2 | | | 1.8 | 4.2 | 3.1 | | 3.7 | 3.0 | 4.7 | | | -1.8 | 0.6 | -0.5 | | N | N | N | | | -2.5 | 0.0 | -1.2 | | -2.6 | -3.3 | -1.6 | | | 1.9 | 4.3 | 3.2 | | 0.9 | 0.3 | 2.0 | | | 1.3 | 3.7 | 2.6 | | -4.1 | -4.8 | -3.1 | | | 0.3 | 2.7 | 1.6 | | -7.3 | -7.9 | -6.2 | | | 8.5 | 10.9 | 9.8 | | 9.5 | 8.8 | 10.5 | | | 2.1 | 4.6 | 3.5 | | N | N | N | | | 1.3 | 3.8 | 2.7 | | -7.8 | -8.4 | -6.7 | | | -2.2 | 0.2 | -0.9 | | 0.6 | 0.0 | 1.7 | | | N | N | N | | N | N | N | | | 10.1 | 12.6 | 11.5 | | -4.8 | -5.5 | -3.8 | | | -1.0 | 1.4 | 0.3 | | -15.1 | -15.8 | -14.1 | | | 3.6 | 6.0 | 4.9 | | -3.4 | -4.0 | -2.3 | | | 1.1 | 3.6 | 2.5 | | N | N | N | | | -4.7 | -2.2 | -3.3 | | N | N | N | | | -5.4 | -2.9 | -4.0 | | -3.4 | -4.0 | -2.3 | | | 10.9 | 13.4 | 12.2 | | -4.7 | -5.3 | -3.6 | | | -2.9 | -0.4 | -1.5 | | 1.9 | 1.2 | 2.9 | | | 3.5 | 6.0 | 4.9 | | -6.1 | -6.8 | -5.1 | | | 0.2 | 2.7 | 1.6 | | 3.3 | 2.6 | 4.3 | | | -1.7 | 0.8 | -0.3 | | 14.3 | 13.7 | 15.4 | | | 10.6 | 13.0 | 11.9 | | N | N | N | | | -0.9 | 1.5 | 0.4 | | -7.0 | -7.7 | -6.0 | | | 4.0 | 6.4 | 5.3 | | -1.5 | -2.2 | -0.5 | | | 18.3 | 20.8 | 19.7 | | N | N | N | | | -2.2 | 0.3 | -0.8 | | N | N | N | | | -0.5 | 2.0 | 0.9 | | -21.4 | -22.1 | -20.4 | | | 10.0 | 12.4 | 11.3 | | N | N | N | | | -2.8 | -0.3 | -1.4 | | -2.5 | -3.1 | -1.4 | | | 8.9 | 11.3 | 10.2 | | 1.9 | 1.2 | 2.9 | | | 20.6 | 23.0 | 21.9 | | N | N | N | | | -2.3 | 0.2 | -1.0 | | 0.6 | 0.0 | 1.7 | | | 0.5 | 3.0 | 1.9 | | -7.9 | -8.5 | -6.8 | | | 0.2 | 2.7 | 1.6 | | N | N | N | | | | | | | | | | | | -1.3 | 1.1 | 0.0 | | -1.0 | -1.7 | 0.0 | | | -2.2 | 0.2 | -0.9 | | -1.6 | -2.2 | -0.6 | | | 1.4 | 3.8 | 2.7 | | 1.1 | 0.5 | 2.2 | | | | | | | | | | | | -2.5 | 0.0 | | | 0.7 | 0.0 | | | | -2.9 | -0.5 | | | 0.6 | -0.1 | | | | 0.2 | 2.6 | | | 1.3 | 0.6 | |
Source: Calculations by the Minnesota Regional Economic Analysis Project (MN-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis November 2023 REAP_PI_CA1700N_510500_511400_GA | | | | | |
| | | | | | Manufacturing vs. Administrative and Waste Services
Real* Average Earnings Per Job Growth by Region:
Minnesota, 2022 | | Manufacturing | | Administrative and Waste Services | Metropolitan Statistical Areas | | | | | | | | | | | -4.3 | -1.8 | -2.9 | | N | N | N | | | -4.1 | -1.6 | -2.7 | | N | N | N | | | -0.2 | 2.3 | 1.2 | | N | N | N | | | -3.3 | -0.9 | -2.0 | | 0.7 | 0.0 | 1.7 | | | 2.4 | 4.8 | 3.7 | | 5.3 | 4.7 | 6.4 | | | -2.5 | -0.1 | -1.2 | | N | N | N | | | -2.0 | 0.5 | -0.6 | | N | N | N | | | -0.8 | 1.7 | 0.5 | | 3.7 | 3.0 | 4.7 | | | N | N | N | | -4.0 | -4.7 | -3.0 | | | | | | | | | | | | -1.3 | 1.1 | 0.0 | | -1.0 | -1.7 | 0.0 | | | -2.2 | 0.2 | -0.9 | | -1.6 | -2.2 | -0.6 | | | 1.4 | 3.8 | 2.7 | | 1.1 | 0.5 | 2.2 | | | | | | | | | | | | -2.5 | 0.0 | | | 0.7 | 0.0 | | | | -2.9 | -0.5 | | | 0.6 | -0.1 | | | | 0.2 | 2.6 | | | 1.3 | 0.6 | |
Source: Calculations by the Minnesota Regional Economic Analysis Project (MN-REAP)
with data provided by the U.S. Department of Commerce, Bureau of Economic Analysis November 2023 REAP_PI_CA1700N_510500_511400_GB | | | | | |
Additional Notes on Interpreting
Average Earnings Per Job for Minnesota Average Earnings Per Job Average Earnings Per Job are computed by dividing BEA industry earnings estimate by BEA total full- and part-time jobs estimates. No convenient or adequate means exist at the county or regional level for converting the job estimates to a full-time equivalent measure. So, interpret the average earnings per job estimates with caution in consideration of the following issues: - Average earnings per job within industries involving more part-time work is lower than industries involving more full-time work, although there could be little difference in the underlying wage of full-time workers. Such differences could also prevail between counties and regions. An increase in the proportion of part-time jobs over time may erode average earnings per job estimates, although full-time earnings per worker may have remained unchanged.
- As with per capita income, average earnings per job may be subject to extreme short-run variation, especially in smaller counties. Unusual conditions such as droughts, hurricanes and bumper crops give rise to wide variations in average earnings per job. Also, major construction projects relating to building dams, nuclear power plants, and private plant construction projects have caused extreme fluctuations in many smaller counties. Such changes typify both small and large agriculture-dependent counties owing to the extreme annual variations in farm incomes.
- Since average earnings per job are just a simple average, it does not account for variations in the distribution of earnings among high- vs. low-wage jobs.
- The earnings by major industry estimates compiled by the Bureau of Economic Analysis (BEA) are by place-of-work are the sum of wage and salary dibursements (payrolls), supplements to wages and salaries, and proprietors' income. The earnings by industry data are in expressed in thousands of current dollars ($1,000s). Unlike wage and salary disbursement, it should be noted that proprietors' income may be reported as negative for those years in which the net income of sole proprietors and partnerships are in the red for a particular sector. This is not an especially unusual occurrence in some relatively small economies where farm proprietorships are dominant. However, this may yield some somewhat unconventional results, such as an industry recording a negative share of total earnings or a location quotient that is negative.
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