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2016 Occupational Projections. General Methodology. Forecast employment for 855 Industry/Region combinations Evaluate industry forecasts Use staffing patterns to convert to occupational forecasts. Industry Forecasts. Preliminary Forecasts started in July 2007 - PowerPoint PPT Presentation
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2016 Occupational
Projections
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General Methodology
• Forecast employment for 855 Industry/Region combinations
• Evaluate industry forecasts
• Use staffing patterns to convert to occupational forecasts
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Industry Forecasts
• Preliminary Forecasts started in July 2007– Using the Micro Matrix System developed by
the State of Utah
• Secondary review in May/June 2009– Adds 2007 and 2008 data– Incorporates latest Louisiana developments– Incorporates comments of business and civic
leaders– Led to 177 modifications of 855 forecasts
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Negative Trend, Population overestimated, one fewer riverboat
RLMA 1 Amusement, Gambling and Recreation
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Lower Population Effect
RLMA 1 Nursing and Residential Care Facilities
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Reduction in Force at General Motors.
RLMA 7 Transportation Equipment Manufacturing
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Over Estimated Go Zone Effect
RLMA 2 Professional, Scientific and Technical
Services
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Union Tank Car
RLMA 6 Transportation Equipment Manufacturing
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New Shaw Nuclear Reactor Parts Manufacturing
RLMA 5 Fabricated Metal Product Manufacturing
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RLMA# RLMA Name 2006 Preliminary % Final % Change
1 New Orleans 439,291 579,600 31.9% 552,976 25.9% (26,624)
2 Baton Rouge 405,750 482,669 19.0% 477,017 17.6% (5,652)
3 Houma 95,252 119,732 25.7% 121,360 27.4% 1,628
4 Lafayette 264,385 315,274 19.2% 307,947 16.5% (7,327)
5 Lake Charles 113,080 131,954 16.7% 133,125 17.7% 1,171
6 Alexandria 107,311 121,655 13.4% 127,058 18.4% 5,403
7 Shreveport 234,762 266,926 13.7% 266,858 13.7% (68)
8 Monroe 113,919 124,885 9.6% 124,824 9.6% (61)
0 State 1,772,574 2,142,700 20.9% 2,119,208 19.6% (23,492)
2016 Industry Projections
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Industry Staffing Patterns