Methodology for the Freight
Analysis Framework-2:
Forecasts of Inter-regional Commodity Flows
5. Data Classification Mapping
This section documents the relationships developed and used between industry, commodity and geographic regional data dimensions as referenced in prior sections as well as the industry sector variables for the alternative scenarios.
5A. NAICS to SCTG Relationships
Other relationships that were also estimated:
NAICS 211111 
45% to SCTG16 & 55% to SCTG19
NAICS 324110 26% to SCTG17, 25%t to SCTG18 & 50% to SCTG19
NAICS to SCTG
Range From: |
Range To: |
Correspondence: |
|---|---|---|
naics='111000' |
|
sctg=3; |
naics='112000' |
|
sctg=1; |
naics='113310' |
|
sctg=25; |
naics='114111' |
naics='114112' |
sctg=5; |
naics='211112' |
|
sctg=20; |
naics='212111' |
naics='212113' |
sctg=15; |
naics='212210' |
naics='212299' |
sctg=14; |
naics='212311' |
|
sctg=10; |
naics='212319' |
|
sctg=12; |
naics='212322' |
|
sctg=11; |
naics='212324' |
naics='212325' |
sctg=13; |
naics='212391' |
|
sctg=22; |
naics='212392' |
naics='212393' |
sctg=13; |
naics='311111' |
naics='311211' |
sctg=4; |
naics='311212' |
|
sctg=2; |
naics='311213' |
|
sctg=6; |
naics='311221' |
|
sctg=4; |
naics='311222' |
|
sctg=7; |
naics='311223' |
|
sctg=3; |
naics='311230' |
|
sctg=6; |
naics='311312' |
|
sctg=4; |
naics='311320' |
naics='311340' |
sctg=7; |
naics='311411' |
|
sctg=4; |
naics='311421' |
naics='311520' |
sctg=7; |
naics='311611' |
naics='311613' |
sctg=4; |
naics='311615' |
|
sctg=5; |
naics='311711' |
|
sctg=7; |
naics='311812' |
naics='311823' |
sctg=6; |
naics='311911' |
|
sctg=3; |
naics='311919' |
|
sctg=7; |
naics='311920' |
|
sctg=3; |
naics='311942' |
|
sctg=23; |
naics='312111' |
naics='312113' |
sctg=7; |
naics='312130' |
|
sctg=8; |
naics='312210' |
naics='312229' |
sctg=9; |
naics='313111' |
|
sctg=3; |
naics='313113' |
naics='313312' |
sctg=30; |
naics='313320' |
|
sctg=24; |
naics='314110' |
naics='314992' |
sctg=30; |
naics='314999' |
|
sctg=34; |
naics='315211' |
|
sctg=24; |
naics='315212' |
|
sctg=30; |
naics='316110' |
|
sctg=34; |
naics='316211' |
naics='316991' |
sctg=30; |
naics='316992' |
|
sctg=24; |
naics='321113' |
|
sctg=26; |
naics='321114' |
|
sctg=25; |
naics='321211' |
naics='321920' |
sctg=26; |
naics='321991' |
|
sctg=36; |
naics='321992' |
|
sctg=40; |
naics='322110' |
naics='322130' |
sctg=27; |
naics='322211' |
|
sctg=24; |
naics='322212' |
naics='322215' |
sctg=28; |
naics='322222' |
|
sctg=27; |
naics='322223' |
|
sctg=24; |
naics='322224' |
|
sctg=28; |
naics='322225' |
|
sctg=32; |
naics='322226' |
naics='322233' |
sctg=28; |
naics='322291' |
|
sctg=34; |
naics='323110' |
|
sctg=29; |
naics='323113' |
|
sctg=39; |
naics='323122' |
|
sctg=34; |
naics='324121' |
|
sctg=19; |
naics='324122' |
|
sctg=31; |
naics='324199' |
|
sctg=19; |
naics='325110' |
naics='325182' |
sctg=20; |
naics='325191' |
|
sctg=23; |
naics='325211' |
naics='325212' |
sctg=24; |
naics='325311' |
|
sctg=22; |
naics='325312' |
naics='325411' |
sctg=20; |
naics='325412' |
|
sctg=6; |
naics='325414' |
|
sctg=21; |
naics='325510' |
|
sctg=23; |
naics='325520' |
|
sctg=6; |
naics='325611' |
|
sctg=20; |
naics='325612' |
|
sctg=23; |
naics='325613' |
|
sctg=7; |
naics='325998 |
|
sctg=23; |
naics='326113' |
naics='326220' |
sctg=24; |
naics='327111' |
|
sctg=31; |
naics='327112' |
naics='327113' |
sctg=35; |
naics='327121' |
naics='327211' |
sctg=31; |
naics='327212' |
|
sctg=39; |
naics='327213' |
naics='327310' |
sctg=31; |
naics=327320' |
|
sctg=23; |
naics='327331' |
naics='327332' |
sctg=31; |
naics='327410' |
|
sctg=13; |
naics='327910' |
|
sctg=20; |
naics='327991' |
naics='327999' |
sctg=31; |
naics='331111' |
naics='331112' |
sctg=32; |
naics='331222' |
|
sctg=33; |
naics='331312' |
naics='331315' |
sctg=32; |
naics='331316' |
|
sctg=33; |
naics='331319' |
|
sctg=32; |
naics='331411' |
|
sctg=41; |
naics='331421' |
|
sctg=33; |
naics='331491' |
|
sctg=32; |
naics='331511' |
naics='332211' |
sctg=33; |
naics='332212' |
|
sctg=34; |
naics='332213' |
|
sctg=33; |
naics='332214' |
naics='332311' |
sctg=40; |
naics='332312' |
naics='332321' |
sctg=33; |
naics='332313' |
|
sctg=37; |
naics='332321' |
naics='332323' |
sctg=33; |
naics='332410' |
|
sctg=34; |
naics='332431' |
|
sctg=33; |
naics='332439' |
|
sctg=34; |
naics='332611' |
|
sctg=33; |
naics='332710' |
|
sctg=34; |
naics='332722' |
|
sctg=33; |
naics='332912' |
|
sctg=37; |
naics='332913' |
naics='332919' |
sctg=33; |
naics='332991' |
|
sctg=34; |
naics='332992' |
|
sctg=40; |
naics='332994' |
|
sctg=38; |
naics='332995' |
|
sctg=40; |
naics='332997' |
|
sctg=34; |
naics='332998' |
|
sctg=33; |
naics='333314' |
|
sctg=38; |
naics='333319' |
|
sctg=41; |
naics='333120' |
naics='333311' |
sctg=34; |
naics='333313' |
|
sctg=35; |
naics='333411' |
naics='333611' |
sctg=34; |
naics='333612' |
|
sctg=35; |
naics='333613' |
naics='333618' |
sctg=34; |
naics='333911' |
|
sctg=37; |
naics='333912' |
naics='333923' |
sctg=34; |
naics='333924' |
|
sctg=36; |
naics='333991' |
naics='333992' |
sctg=33; |
naics='333993' |
naics='333997' |
sctg=34; |
naics='334111' |
naics='334220' |
sctg=35; |
naics='334290' |
|
sctg=37; |
naics='334310' |
naics='334417' |
sctg=35; |
naics='334510' |
|
sctg=38; |
naics='334511' |
|
sctg=35; |
naics='334512' |
naics='334514' |
sctg=38; |
naics='334516' |
|
sctg=34; |
naics='334517' |
|
sctg=38; |
naics='334518' |
|
sctg=40; |
naics='334612' |
naics='335110' |
sctg=35; |
naics='335129' |
|
sctg=33; |
naics='335212' |
naics='335221' |
sctg=35; |
naics='335222' |
naics='335224' |
sctg=34; |
naics='335311' |
naics='335999' |
sctg=35; |
naics='336111' |
|
sctg=36; |
naics='336211' |
|
sctg=34; |
naics='336212' |
naics='336214' |
sctg=36; |
naics='336321' |
naics='336322' |
sctg=35; |
naics='336370' |
|
sctg=36; |
naics='336411' |
|
sctg=37; |
naics='336412' |
|
sctg=34; |
naics='336414' |
|
sctg=37; |
naics='336415' |
|
sctg=34; |
naics='336611' |
naics='336612' |
sctg=37; |
naics='336991' |
|
sctg=29; |
naics='336992' |
|
sctg=36; |
naics='337110' |
naics='337127' |
sctg=39; |
naics='337129' |
|
sctg=34; |
naics='337214' |
|
sctg=33; |
naics='337920' |
|
sctg=33; |
naics='339113' |
|
sctg=38; |
naics='339114' |
|
sctg=21; |
naics='339911' |
|
sctg=40; |
naics='339914' |
|
sctg=31; |
naics='339920' |
|
sctg=24; |
naics='339931' |
naics='339943' |
sctg=40; |
naics='339944' |
|
sctg=27; |
naics='339991' |
|
sctg=24; |
naics='339992' |
|
sctg=33; |
naics='339993' |
|
sctg=34; |
naics='339994' |
|
sctg=40; |
naics='511110' |
naics='511130' |
sctg=29; |
NAICS 211111 45% to SCTG16 & 55% to SCTG19
NAICS 324110 26% to SCTG17, 25%t to SCTG18 & 50% to SCTG19
5B. World Trade Model to SCTG Commodity Mapping
WTM Code |
Commodity Name |
SCTG CODE |
|---|---|---|
C1I |
Other Agriculture |
1 |
C1A |
Grain |
2 |
C1C |
Vegetables, Fruits and Eggs - requiring Refrigeration |
3 |
C1D |
Vegetables and Fruits - non-Refrigerated |
3 |
C1G |
Cotton |
3 |
C311D |
Animal Feed |
4 |
C311A |
Meat/Dairy/Fish Requiring Refrigeration |
5 |
C311B |
Other Meat/Dairy/Fish/Fruit/Vegetables |
5 |
C311F |
Other Food |
6 |
C1B |
Oil Seeds |
7 |
C311C |
Sugar |
7 |
C311E |
Animal and Vegetable Oils |
7 |
C313 |
Beverages |
8 |
C314 |
Tobacco |
9 |
C2A |
Stone, Clay and Other Crude Minerals |
11 |
C369 |
Non-Metallic Products, nec. |
13 |
C2C |
Ores |
14 |
C371 |
Iron and Steel |
14 |
C2D |
Coal and Coke |
15 |
C2E |
Crude Petroleum |
16 |
C353 |
Petroleum Refineries |
17 |
C2F |
Natural Gas |
19 |
C354A |
Briquettes, Lignite, Peat and Coke |
19 |
C354B |
Residual Petroleum Products |
19 |
C3511A |
Organic Chemicals |
20 |
C3511B |
Inorganic Chemicals |
20 |
C3522 |
Drugs and Medicines |
21 |
C3523 |
Soap and Cleaning Preparations |
21 |
C2B |
Crude Fertilizers |
22 |
C3512 |
Fertilizers and Pesticides |
22 |
C3513 |
Synthetic Resins |
23 |
C3521 |
Paint, Varnishes and Lacquers |
23 |
C3529 |
Chemical Products, nec. |
23 |
C1F |
Natural Rubber |
24 |
C355 |
Rubber Products |
24 |
C356 |
Plastic Products, nec. |
24 |
C1E |
Cork and Wood |
25 |
C331 |
Wood Products |
26 |
C341B |
Pulp |
27 |
C341A |
Waste Paper |
28 |
C341C |
Paper and Paperboard and Products |
28 |
C342 |
Printing and Publishing |
29 |
C1H |
Other Raw Textile Materials |
30 |
C321 |
Textiles |
30 |
C322 |
Wearing Apparel |
30 |
C323 |
Leather and Products |
30 |
C324 |
Footwear |
30 |
C361 |
Pottery, China etc. |
31 |
C362 |
Glass and Products |
31 |
C372 |
Non-Ferrous Metals |
32 |
C381 |
Metal Products |
33 |
C3822 |
Agricultural Machinery |
34 |
C3823 |
Metal and Wood Working Machinery |
34 |
C3824 |
Special Industrial Machinery |
34 |
C3829 |
Machinery and Equipment, nec. |
34 |
C3831 |
Electrical Industrial Machinery |
34 |
C3821 |
Engines and Turbines |
35 |
C3825 |
Office and Computing Machinery |
35 |
C3843A |
Motor Vehicles |
36 |
C3843B |
Parts of Motor Vehicles |
36 |
C3844 |
Motorcycles and Bicycles |
36 |
C3841 |
Shipbuilding and Repairing |
37 |
C3842 |
Railroad Equipment |
37 |
C3845 |
Aircraft |
37 |
C3849 |
Transport Equipment, nec. |
37 |
C3832A |
Radio and TV |
38 |
C3832B |
Semi-Conductors |
38 |
C3832C |
Other Communications Equipment |
38 |
C3833 |
Electrical Appliances and Housewares |
38 |
C3839 |
Electrical Apparatus, nec. |
38 |
C3851 |
Professional Equipment |
38 |
C3852 |
Photographic and Optical Goods |
38 |
C3853 |
Watches and Clocks |
38 |
C332 |
Furniture and Fixtures |
39 |
C390 |
Other Manufacturing, nec. |
40 |
C2G |
Scrap |
41 |
C399 |
Miscellaneous, nec. |
43 |
5C. World Trade Model to FAF2 Geographic Region Mapping
WTM Region |
FAF # |
Regions |
|---|---|---|
Gulf |
1 |
Birmingham-Hoover-Cullman, AL CSA |
Gulf |
2 |
Remainder of Alabama |
North Pacific |
3 |
Alaska |
South Pacific |
4 |
Phoenix-Mesa-Scottsdale, AZ MeSA |
South Pacific |
5 |
Tucson, AZ MeSA |
South Pacific |
6 |
Remainder of Arizona |
Gulf |
7 |
Arkansas |
South Pacific |
8 |
Los Angeles-Long Beach-Riverside, CA CSA |
South Pacific |
9 |
San Diego-Carlsbad-San Marcos, CA MeSA |
South Pacific |
10 |
Sacramento--Arden-Arcade--Truckee, CA-NV CSA (CA Part) |
South Pacific |
11 |
San Jose-San Francisco-Oakland, CA CSA |
South Pacific |
12 |
Remainder of California |
Great Lakes |
13 |
Denver-Aurora-Boulder, CO CSA |
Great Lakes |
14 |
Remainder of Colorado |
North Atlantic |
15 |
New York-Newark-Bridgeport, NY-NJ-CT-PA CSA (CT Part) |
North Atlantic |
16 |
Remainder of Connecticut |
North Atlantic |
17 |
Delaware |
North Atlantic |
18 |
Washington-Arlington-Alexandria, DC-VA-MD-WV MeSA (DC Part) |
South Atlantic |
19 |
Jacksonville, FL MeSA |
South Atlantic |
20 |
Miami-Fort Lauderdale-Miami Beach, FL MeSA |
South Atlantic |
21 |
Orlando-The Villages, FL CSA |
South Atlantic |
22 |
Tampa-St Petersburg-Clearwater, FL MeSA |
South Atlantic |
23 |
Remainder of Florida |
South Atlantic |
24 |
Atlanta-Sandy Springs-Gainesville, GA-AL CSA (GA Part) |
South Atlantic |
25 |
Remainder of Georgia |
South Pacific |
26 |
Honolulu, HI MeSA |
South Pacific |
27 |
Remainder of Hawaii |
Great Lakes |
28 |
Idaho |
Great Lakes |
29 |
Chicago-Naperville-Michigan City, IL-IN-WI CSA (IL Part) |
Great Lakes |
30 |
St Louis, MO-IL MeSA (IL Part) |
Great Lakes |
31 |
Remainder of Illinois |
Great Lakes |
32 |
Chicago-Naperville-Michigan City, IL-IN-WI CSA (IN Part) |
Great Lakes |
33 |
Indianapolis-Anderson-Columbus, IN CSA |
Great Lakes |
34 |
Remainder of Indiana |
Great Lakes |
35 |
Iowa |
Great Lakes |
36 |
Kansas City, MO-KS MeSA (KS Part) |
Great Lakes |
37 |
Remainder of Kansas |
Great Lakes |
38 |
Louisville-Elizabethtown-Scottsburg, KY-IN CSA (KY Part) |
Great Lakes |
39 |
Remainder of Kentucky |
Gulf |
40 |
New Orleans-Metairie-Bogalusa, LA CSA |
Gulf |
41 |
Remainder of Louisiana |
North Atlantic |
42 |
Maine |
North Atlantic |
43 |
Baltimore-Towson, MD MeSA |
North Atlantic |
44 |
Washington-Arlington-Alexandria, DC-VA-MD-WV MeSA (MD Part) |
North Atlantic |
45 |
Remainder of Maryland |
North Atlantic |
46 |
Boston-Worcester-Manchester, MA-NH CSA (MA Part) |
North Atlantic |
47 |
Remainder of Massachusetts |
Great Lakes |
48 |
Detroit-Warren-Flint, MI CSA |
Great Lakes |
49 |
Grand Rapids-Wyoming-Holland, MI CSA |
Great Lakes |
50 |
Remainder of Michigan |
Great Lakes |
51 |
Minneapolis-St Paul-St Cloud, MN-WI CSA (MN Part) |
Great Lakes |
52 |
Remainder of Minnesota |
Gulf |
53 |
Mississippi |
Great Lakes |
54 |
Kansas City, MO-KS MeSA (MO Part) |
Great Lakes |
55 |
St Louis-St Charles-Farmington, MO-IL CSA (MO Part) |
Great Lakes |
56 |
Remainder of Missouri |
Great Lakes |
57 |
Montana |
Great Lakes |
58 |
Nebraska |
South Pacific |
59 |
Las Vegas-Paradise-Pahrump, NV CSA |
South Pacific |
60 |
Remainder of Nevada |
North Atlantic |
61 |
New Hampshire |
North Atlantic |
62 |
New York-Newark-Bridgeport, NY-NJ-CT-PA CSA (NJ Part) |
North Atlantic |
63 |
Philadelphia-Camden-Vineland, PA-NJ-DE-MD CSA (NJ Part) |
North Atlantic |
64 |
Remainder of New Jersey |
Gulf |
65 |
New Mexico |
North Atlantic |
66 |
Albany-Schenectady-Amsterdam, NY CSA |
Great Lakes |
67 |
Buffalo-Cheektowaga-Tonawanda, NY MeSA |
North Atlantic |
68 |
New York-Newark-Bridgeport, NY-NJ-CT-PA CSA (NY Part) |
Great Lakes |
69 |
Rochester-Batavia-Seneca Falls, NY CSA |
North Atlantic |
70 |
Remainder of New York |
South Atlantic |
71 |
Charlotte-Gastonia-Salisbury, NC-SC CSA (NC Part) |
South Atlantic |
72 |
Greensboro--Winston-Salem--High Point, NC CSA |
South Atlantic |
73 |
Raleigh-Durham-Cary, NC CSA |
South Atlantic |
74 |
Remainder of North Carolina |
Great Lakes |
75 |
North Dakota |
Great Lakes |
76 |
Cincinnati-Middletown-Wilmington, OH-KY-IN CSA (OH Part) |
Great Lakes |
77 |
Cleveland-Akron-Elyria, OH CSA |
Great Lakes |
78 |
Columbus-Marion-Chillicothe, OH CSA |
Great Lakes |
79 |
Dayton-Springfield-Greenville, OH CSA |
Great Lakes |
80 |
Remainder of Ohio |
Great Lakes |
81 |
Oklahoma City-Shawnee, OK CSA |
Great Lakes |
82 |
Tulsa-Bartlesville, OK CSA |
Great Lakes |
83 |
Remainder of Oklahoma |
North Pacific |
84 |
Portland-Vancouver-Beaverton, OR-WA MeSA (OR Part) |
North Pacific |
85 |
Remainder of Oregon |
North Atlantic |
86 |
Philadelphia-Camden-Vineland, PA-NJ-DE-MD CSA (PA Part) |
North Atlantic |
87 |
Pittsburgh-New Castle, PA CSA |
North Atlantic |
88 |
Remainder of Pennsylvania |
North Atlantic |
89 |
Rhode Island |
South Atlantic |
90 |
Greenville-Anderson-Seneca, SC CSA |
South Atlantic |
91 |
Spartanburg-Gaffney-Union, SC CSA |
South Atlantic |
92 |
Remainder of South Carolina |
Great Lakes |
93 |
South Dakota |
Gulf |
94 |
Memphis, TN-MS-AR MeSA (TN Part) |
Gulf |
95 |
Nashville-Davidson--Murfreesboro--Columbia, TN CSA |
Gulf |
96 |
Remainder of Tennessee |
Gulf |
97 |
Austin-Round Rock, TX MeSA |
Gulf |
98 |
Dallas-Fort Worth, TX CSA |
Gulf |
99 |
Houston-Baytown-Huntsville, TX CSA |
Gulf |
100 |
San Antonio, TX MeSA |
Gulf |
101 |
Remainder of Texas |
Great Lakes |
102 |
Salt Lake City-Ogden-Clearfield, UT CSA |
Great Lakes |
103 |
Remainder of Utah |
North Atlantic |
104 |
Vermont |
North Atlantic |
105 |
Richmond, VA MeSA |
North Atlantic |
106 |
Virginia Beach-Norfolk-Newport News, VA-NC MeSA (VA Part) |
North Atlantic |
107 |
Washington-Baltimore-Northern Virginia, DC-MD-VA-WV CSA (VA Part) |
North Atlantic |
108 |
Remainder of Virginia |
North Pacific |
109 |
Seattle-Tacoma-Olympia, WA CSA |
North Pacific |
110 |
Remainder of Washington |
Great Lakes |
111 |
West Virginia |
Great Lakes |
112 |
Milwaukee-Racine-Waukesha, WI CSA |
Great Lakes |
113 |
Remainder of Wisconsin |
Great Lakes |
114 |
Wyoming |
North Pacific |
115 |
Anchorage, AK |
North Pacific |
116 |
Blaine, WA |
Great Lakes |
117 |
International Falls, MN |
Great Lakes |
118 |
Alexandria Bay, NY |
Great Lakes |
119 |
Champlain/Rouses Point, NY |
North Atlantic |
120 |
Portland, ME |
South Atlantic |
121 |
Charleston, SC |
South Atlantic |
122 |
Savannah, GA |
Gulf |
123 |
Mobile, AL |
Gulf |
124 |
Baton Rouge, LA |
Gulf |
125 |
Morgan City, LA |
Gulf |
126 |
Lake Charles, LA |
Gulf |
127 |
Beaumont, TX |
Gulf |
128 |
Corpus Christi, TX |
Gulf |
129 |
Brownsville/Hidalgo, TX |
Gulf |
130 |
Laredo, TX |
Gulf |
131 |
El Paso, TX |
5D. Economic Variables for High & Low Growth Scenarios
The differences from the baseline values for the high and low growth scenarios are listed in the table below for the industry sectors used in the forecasts for the example years of 2010 and 2035.
Category Description |
2010 Low |
2010 High |
2035 Low |
2035 High |
|---|---|---|---|---|
Crop Farming |
88.11% |
109.79% |
76.40% |
122.70% |
Animal Production |
88.11% |
109.79% |
76.40% |
122.70% |
Forestry |
88.11% |
109.79% |
76.40% |
122.70% |
Fishing, Hunting and Trapping |
88.11% |
109.79% |
76.40% |
122.70% |
Support Activities for Farming, Forestry, Fishing |
88.11% |
109.79% |
76.40% |
122.70% |
Crude Petroleum and Natural Gas Extraction |
94.00% |
100.81% |
82.54% |
97.84% |
Mining |
94.00% |
100.81% |
82.54% |
97.84% |
Support Activities for Mining |
94.00% |
100.81% |
82.54% |
97.84% |
Utilities |
94.91% |
103.48% |
86.82% |
110.76% |
Mining |
93.65% |
108.19% |
85.01% |
119.26% |
Building Construction |
93.65% |
108.19% |
85.01% |
119.26% |
Heavy and Civil Engineering Construction |
93.65% |
108.19% |
85.01% |
119.26% |
Specialty Trade Contractors |
90.76% |
116.62% |
58.53% |
141.32% |
Wood Product Manufacturing |
97.12% |
109.94% |
86.44% |
120.84% |
Nonmetallic Mineral Product Manufacturing |
94.21% |
101.99% |
75.73% |
156.15% |
Primary Metal Product Manufacturing |
96.62% |
106.37% |
76.12% |
121.17% |
Fabricated Metal Product Manufacturing |
95.86% |
102.30% |
74.83% |
143.85% |
Machinery Manufacturing |
85.31% |
97.63% |
80.23% |
106.71% |
Computer & Electronic Product Manufacturing |
98.47% |
103.52% |
80.33% |
139.70% |
Electrical Equipment & Appliance Manufacturing |
95.85% |
101.29% |
75.98% |
128.23% |
Transportation Equipment Manufacturing |
95.28% |
108.94% |
94.29% |
134.16% |
Furniture & Related Product Manufacturing |
96.87% |
98.05% |
52.86% |
199.34% |
Miscellaneous Manufacturing |
97.40% |
99.82% |
88.83% |
106.21% |
Food Manufacturing |
95.49% |
100.45% |
93.12% |
129.50% |
Beverages & Tobacco Products |
97.55% |
100.39% |
100.71% |
108.90% |
Textile Mills |
98.35% |
104.55% |
82.87% |
145.05% |
Textile Product Manufacturing |
98.29% |
103.70% |
95.52% |
107.68% |
Apparel |
98.72% |
103.83% |
96.80% |
110.40% |
Leather & Allied Product Manufacturing |
96.57% |
100.90% |
89.44% |
184.36% |
Paper & Paper Product Manufacturing |
99.12% |
100.75% |
85.42% |
114.17% |
Printing & Related Support Activities |
92.64% |
94.79% |
108.24% |
102.09% |
Petroleum & Coal Products |
96.64% |
102.00% |
89.51% |
116.06% |
Chemical Product and Preparation Manufacturing |
96.98% |
103.00% |
88.53% |
139.22% |
Plastics & Rubber Product Manufacturing |
94.76% |
107.82% |
80.52% |
115.29% |
Durable Goods Merchant Wholesalers |
94.76% |
107.82% |
80.52% |
115.29% |
Nondurable Goods Merchant Wholesalers |
94.76% |
107.82% |
80.52% |
115.29% |
Wholesale Trade Agents, Brokers, Electronic Markets |
95.17% |
103.98% |
85.76% |
108.66% |
Motor Vehicles & Parts Stores |
95.17% |
103.98% |
85.76% |
108.66% |
Home Furnishings Stores |
95.17% |
103.98% |
85.76% |
108.66% |
Consumer Electronics & Appliance Stores |
95.17% |
103.98% |
85.76% |
108.66% |
Building Materials, Nurseries, and Farm Supply Stores |
88.11% |
109.79% |
76.40% |
122.70% |
Food & Beverage Stores |
95.17% |
103.98% |
85.76% |
108.66% |
Drug, Health and Personal Care Stores |
95.17% |
103.98% |
85.76% |
108.66% |
Gasoline Stations |
95.17% |
103.98% |
85.76% |
108.66% |
Clothing, Shoe, Jewelry Stores |
95.17% |
103.98% |
85.76% |
108.66% |
Sporting, Toy, Hobby, Book, Sewing Stores |
95.17% |
103.98% |
85.76% |
108.66% |
Department, General Merchandise Stores |
95.17% |
103.98% |
85.76% |
108.66% |
Miscellaneous Store Retailers |
95.17% |
103.98% |
85.76% |
108.66% |
Other Direct Selling Establishments |
95.17% |
103.98% |
85.76% |
108.66% |
Air Transportation |
95.37% |
108.99% |
86.28% |
172.56% |
Railroad Transportation |
95.37% |
108.99% |
86.28% |
172.56% |
Water Transportation |
95.37% |
108.99% |
86.28% |
172.56% |
Truck Transportation |
95.37% |
108.99% |
86.28% |
172.56% |
Transit and Ground Passenger Transportation |
95.37% |
108.99% |
86.28% |
172.56% |
Pipeline Transportation |
95.37% |
108.99% |
86.28% |
172.56% |
Scenic and Sightseeing Transportation |
95.37% |
108.99% |
86.28% |
172.56% |
Air Traffic Control and Airport Operations |
95.37% |
108.99% |
86.28% |
172.56% |
Postal Service |
95.37% |
108.99% |
86.28% |
172.56% |
Couriers, Messengers and Local Delivery |
95.37% |
108.99% |
86.28% |
172.56% |
Warehousing and Storage |
95.37% |
108.99% |
86.28% |
172.56% |
Publishers |
98.35% |
107.18% |
89.52% |
177.39% |
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