1. 1 How ARMS Data is Used: An Illinois Perspective Gary Schnitkey University of Illinois

2. 2 ARMS data already used extensively  Research (primarily in finance group)  State-level data will enhance ARMS use and usefulness

3. 3 Linkages between ARMS and already existing data  Data already created at state, university, commodity group, other level –Budgets –State income estimates –Farm financial databases  Example: Illinois Farm Business Farm Management (FBFM)

4. 4 Costs per acre, corn, 2002 ARMS------ Illinois FBFM ------ Heartland North Central South Seed $32 $35 $34 $35 Fertilizer 39 51 55 54 Chemicals 26 34 34 31 Power 89 113 106 101 Land 104 121 130 70 Labor 25 35 37 40 Other 12 22 20 19 Total $327 $411 $416 $350 Yield/acre 142 154 152 97

5. 5 Income estimates USDA FBFM ($ million) * NFI ** 1997 2,109$50,200 1998 1,425 13,800 1999 1,081 31,200 2999 1,569 54,100 2001 1,664 30,900 2002 642 27,100 2003E 51,800 * USDA estimates of aggregate Illinois net farm income ** FBFM estimate of net income per grain farm

6. 6 USDA and FBFM: Trends over time FBFM USDA

7. 7 Combinations between ARMS and existing data likely to be highly useful ARMS random sample, national coverage “State” detailed information about production processes, longitudinal

8. 8 Additional information  Cropping practices * Household income  Costs and returns