Table 14-4 TOC
General Statistics, for All Manufacturing Industries, by Metropolitan Statistical Area (MSA) and Selected Cities, 1987 and 1992.
  Establishments[1] Employees Production Workers        
 
       
 
Total
(N)		 20 or
more
Empl.
(N)
N
(1,000s)
Payroll
($mill.)
N
(1,000s)
Hrs
(mill.)
Wages
($mill.)		 Value
Added
by
Manf. [2]
($mill.)		 Materials
Cost[3]
($mill.)		 Shipment
Value[3]
($mill.)		 New
Capital
Expend.
($mill.)
  1987
 
Boise MSA 284 73 11.1 293.3 6.1 12 117.5 633.7 850.1 1,473.70 48.4
Blackfoot 12 5 0.9 20 0.7 1.4 12.2 78.2 60.9 138.3 W
Boise (city) 189 41 8.8 247.9 4.4 8.6 89.9 523.5 453.2 978.2 41.8
Buhl 7 4 D D D D D D D D D
Burley 14 8 D D D D D D D D D
Caldwell 36 12 1.6 29.5 1.1 2.2 15.1 62.3 193 251.4 2.8
Coeur d'Alene 60 15 2.1 34.6 1.7 2.9 23.4 79.5 81.9 160.7 D
Emmett 7 4 D D D D D D D D D
Heyburn 1 1 D D D D D D D D D
Idaho Falls (city)[E1] 54 17 2.5 78.5 1.5 2.7 37 178.2 60.2 239.5 D
Jerome (city) 6 3 D D D D D D D D D
Lewiston[E2] 40 7 D D D D D D D D D
Nampa[E1] 47 18 2.4 41 1.6 3.1 24.7 173 113.8 287.2 8.7
Pocatello 45 10 D D D D D D D D D
Post Falls[E1] 32 9 D D D D D D D D D
Rexburg 8 5 D D D D D D D D D
St. Maries 16 4 D D D D D D D D D
Sandpoint[E1] 39 9 0.5 9 0.3 0.7 5.9 21.3 70.4 90.9 2.1
Shelley 4 1 D D D D D D D D D
Twin Falls 49 12 1.7 29 1.4 2.4 19.9 85.8 116.2 199.7 D
 
  1992
 
Boise MSA 492 144 27.6 785.8 16.6 33.8 370.1 1,736 2,959.80 4,626.80 167.5
Blackfoot 19 5 1 29.2 0.7 1.4 14.2 110.6 84.4 197.1 6
Boise City 206 57 15.9 541 7.4 15.9 209.5 1,035.70 1,599.10 2,577.90 113
Buhl 8 3 D D D D D D D D D
Burley 17 9 D D D D D D D D D
Caldwell 49 18 1.5 27.8 1.2 2.3 19.1 52.9 137.6 192.8 D
Coeur d'Alene[E1] 68 14 1.4 34.7 0.9 1.7 19.2 94.5 95 188.5 5
Garden City[E2] 52 10 0.7 15.3 0.5 0.8 7.7 27.9 24.2 51.6 1.5
Hayburn 2 1 D D D D D D D D D
Idaho Falls 68 22 3.9 131.5 2.9 5.7 87.8 367.2 115.6 480 4
Lewiston 48 10 D D D D D D D D 3.3
Meridian 34 11 0.9 19.1 0.7 1.3 11.8 45.3 85.1 133.5 1.2
Nampa[E1] 37 16 2.6 57.3 2 3.8 39.6 252.8 164.8 415.9 20.2
Payette 8 3 D D D D D D D D D
Pocatello 46 13 3 64 1.5 2.5 29.5 207.8 142.2 349.7 D
Post Falls 31 9 0.7 15.7 0.6 1 12.1 29.5 51.6 81.6 2.4
Rexburg 18 7 0.9 13.1 0.7 1.2 7.6 32.5 25 56.7 D
Shelley 8 2 D D D D D D D D D
Twin Falls 60 18 2.4 45.5 1.9 3.3 29.9 107.9 183.8 291.6 11.8
Source: U.S. Bureau of the Census, [year] Census of Manufactures, Geographic Area Series, MC[yr]-A-13, 1987, 1992
Notes: Includes operating manufacturing establishments and auxiliaries. Includes places with 450 (1987) or 500 (1992), manufacturing employees or more.
  Payroll, employment, and sales data for some small single-unit companies with up to 20 employees were obtained from administrative records of other government agencies rather than from census report forms. These data were then used in conjunction with industry averages to estimate the items shown for these small establishments. This technique was also used for other establishments whose reports were not received at time data were tabulated. See notes below for meaning of symbols where estimated data account for 10 percent or more of figures shown.
D Withheld to avoid disclosing individual company confidential data.
Z Represents a number or percent that rounds to less than half the unit of notation shown.
[1] Includes establishments with payroll at any time during the year.
[2] Value added by manufacture is computed using inventory data reported at cost or market prior to any adjustment to LIFO cost. This uniform instruction is a change from prior years (before 1982), in which respondents were permitted to value their inventories using any generally accepted accounting method. Consequently, 1982 data for value added by manufacture are not comparable to prior year data.
[3] Aggregate of cost of materials and value of shipments includes extensive duplication since products of some industries are used as materials by others.
 
[E1] 10-19% [E2] 20-29% [E3] 30-39% [E4] 40-49% [E5] 50-59%
[E6] 60-69% [E7] 70-79% [E8] 80-89% [E9] 90% or more  

Originally compiled by: Bill Clark and Barbara Greever
Updated by: Lily Wai
Data input assisted by: Michal McRenolds
Contact: Lily Wai