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Florida State University 
Department of Urban and Regional Planning
Planning Methods III: Forecasting 





Example
Calculating
Local Emp.
Shares
Calculating WA
State's Industry
Growth Rates
Projecting King
County's 2025
Employment
Example
Results
Discussion
Questions
 

CONSTANT SHARE EXAMPLE: KING COUNTY AND WASHINGTON STATE

Example

Using the following employment data for King County and Washington State in 1993 and 2025, we can utilize the Constant Share technique to project industry employment for the County in the year 2025. As with our previous examples, this example uses a very coarse set of data to keep the exercise simple.
Table 1: Employment Data for King County and Washington State, 1993, 2025
Industrial Sector
King Co. Employment
1993
State Employment
1993
State Projected Employment
2025
Agricultural services
7,942
51,000
88,900
Mining
673
4,700
4,900
Construction
48,185
167,400
242,900
Manufacturing
143,222
360,800
392,600
Transport. & utilities
63,113
129,300
183,500
Wholesale trade
74,647
150,200
213,100
Retail trade
158,875
501,400
745,400
F.I.R.E.
69,969
221,600
307,000
Services
267,512
813,300
1,504,900
TOTAL
834,138
2,399,700
3,683,200
The first task is to calculate the local employment share for each industrial sector. This share can provide immediate insights into the relative importance of King County in the State's economy, particularly for certain industries.

Table 2: Calculation of Local Employment Shares

Industrial Sector
King Co. Employment
1993
State Employment,
1993
Local Employment Share, 1993
Agricultural services
7,942
51,000
0.1557
Mining
673
4,700
0.1432
Construction
48,185
167,400
0.2878
Manufacturing
143,222
360,800
0.3970
Transport. & utilities
63,113
129,300
0.4881
Wholesale trade
74,647
150,200
0.4970
Retail trade
158,875
501,400
0.3169
F.I.R.E.
69,969
221,600
0.3157
Services
267,512
813,300
0.3289
The calculation of an industry employment share is simply:
Local Employment 1993
State Employment 1993
So, the Services sector in King County has a 1993 employment share of:
267,512 / 813,300 = 0.3289
What do these employment shares tell us? Let's look at the Services Local Employment Share: 0.3289. This figure tells us that in 1993 King County had a 32.89% share of the State's services employment. The Constant Share technique assumes that this will remain constant between 1993 and the year 2025.
In what industrial sectors does King County appear to be particularly important to the State economy?
To project employment figures for King County in 2025, a Reference Region Growth Rate must be calculated for each industry. This is done in Table 3.

Table 3: Calculating Washington State's Industry Growth Rates

Industrial Sector
State Employment 1993
Projected State Employment 2025
Industry Growth Rates
Agricultural services
51,000
88,900
0.7431
Mining
4,700
4,900
0.0426
Construction
167,400
242,900
0.4510
Manufacturing
360,800
392,600
0.0881
Transport. & utilities
129,300
183,500
0.4192
Wholesale trade
150,200
213,100
0.4188
Retail trade
501,400
745,400
0.4866
F.I.R.E.
221,600
307,000
0.3854
Services
813,300
1,504,900
0.8504
TOTAL
2,399,700
3,683,200
 
Before we turn to calculating King County's projected 2025 employment, let's take a moment to examine these industry growth rates. The above numbers suggest that Washington State can expect to grow most in certain industrial sectors. Clearly the Service sector will experience by far the greatest growth, with a projected increase of .8504, or over 85%, expected.
Is this finding surprising? What other industrial sectors show evidence of significant growth between 1993 and 2025?
In Table 4 we can apply the Con-Share projection formula to calculate King Counties projected employment in the year 2025.

Table 4: Calculating King County's 2025 Projected Employment**

Industrial Sector
WA State Industry Growth Rates, 1993-2025
King Co. Employment 1993
King Co. Projected Employment, 2025
Agricultural services
0.7431
7,942
13,844
Mining
0.0426
673
702
Construction
0.4510
48,185
69,917
Manufacturing
0.0881
143,222
155,845
Transport. & utilities
0.4192
63,113
89,569
Wholesale trade
0.4188
74,647
105,907
Retail trade
0.4866
158,875
236,190
F.I.R.E.
0.3854
69,969
96,934
Services
0.8504
267,512
494,994
TOTAL
 
3,683,200
1,263,901
**Note that there are some differences due to the rounding of the Growth Rates.**
Again taking the Services sector for our example, the Projected King County employment can be calculated (using the Con-Share Projection Formula) as:
(1+ 0.8504) X 267,512= 494,994

Example Results

  • Using the Constant Share technique, we have estimated King County's 2025 employment to total 1,263,901. These almost 430,000 new jobs represent a 51.52% increase over the 1993 employment totals. You also have generated employment projections by major industrial sector.
  • What does this large number of jobs tell you, the local planner? Well, quite simply, all of those new employees are going to need homes, demand services (like Fire and Police), their children will need schools, and they will have a myriad of other effects. The usefulness of projections, in part, provides some idea as to the demand for housing, services, etc. of the future residents of your analysis area.
  • The breakdown of jobs by industry also provides some insight into the infrastructure demands of the economy in 2025. For example, where are all those new manufacturing jobs going to be located? What are their land and infrastructure needs?
  • As is hopefully clear by now, the employment figures generated by the Constant Share technique should serve as a reference point for other employment projections. For example, what happens if we assume that the State of Washington will grow at a faster rate than the above figure suggest? How can we fit that into our projections?

Discussion Questions

  • What problems/limitations do you see with this technique?
  • Is it reasonable to assume that King County will have a constant local share of the major industrial sectors between 1993 and 2025? Why or why not?
  • How would the above totals change if we used two or three digit data in our calculations?
  • Would the results be affected if we used a different reference region, say the United States? Do you see any similarities between the Constant Share Method and the Location Quotient Method here?
  • How might a range of projections be generated using the Constant Share technique? (Relate this question to the comment above on the State's economy growing at a slower or faster rate than expected.) Why might this be a useful modification to the Constant Share technique?
  • How would the calculations have been affected if we had local employment figures for 1995 instead of 1993?
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