1993 Flood Damage Summary Data Tables GIFs
Welcome to our GIFs of summary tables of the damages from the 1993 flood of the Mississippi and Missouri Rivers and their tributaries! We have tables for the states flooded and tables for the Corps Districts flooded. The data in these tables reflect a few changes made to the records after the maps were produced and any differences noted should be decided in favor of the tables. Following the table references, there is a detailed description of the damage categories.
State Tables
Residential, Commercial/Industrial, Public, and Transportation Dollar Damages
Utilities, Agricultural, Emergency, Other, and Total Dollar Damages
Residential, Commercial/Industrial, Public, and Transportation Non-Dollar Damages
Corps District Tables
Residential, Commercial/Industrial, Public, and Transportation Dollar Damages
Utilities, Agricultural, Emergency, Other, and Total Dollar Damages
Residential, Commercial/Industrial, Public, and Transportation Non-Dollar Damages
The data behind these tables and the associated maps may be downloaded. These data are in a dBASE III/IV file called cntys.dbf and similar data for some cities in the affected area are in a file called citys.dbf. Mosaic users should remember to set "load to disk" on under "options" if they wish to capture these files. Netscape users should move the mouse pointer to the link, hold down the right mouse button, and select the "Save Link As" option.
Data were collected for seven specific areas of damages and costs and for one general area. The specific areas collected were residential, commercial/industrial, public facilities, transportation, utilities, agriculture and emergency services. The general area was an attempt to cover what might be thought of as secondary costs of the flooding. These were the costs of buyout, mitigation, mission, unemployment assistance and crisis counseling. The detailed categories may be found in the Data Dictionary Appendix to this report. For all categories of damges which included structures, the attempt was made to get numbers of structures damaged, extent of that damage, and the extent of damage to any contents. For the revenue-generating activites, an attempt was made to find the extent of revenues lost. Within agriculture, the acres damaged for various crops were sought. For the transportation sector, miles of roads and railroads damaged were sought.
The residential data gathered were numbers of residences damaged, structure damage and content damage. The one major data problem with damages within this category is that the Federal Emergency Management Administration (FEMA) residential damage figures include both structure and content unseparated. This figure was separated by using the proportions found in the Small Business Administration (SBA) data for the same area.
Though the database originally provided separate fields for commercial and industrial losses, the figures were generally not separable. The industrial numbers and damages were in all cases summed into the commercial equivalents in the final database file and the industrial variables were eliminated from that file. The commercial variable will include all commercial and industrial damages for the particular area. The figures for all parts of the commercial/industrial damages were derived from FEMA, SBA, and state and local sources.
The equipment damages for both commercial and industrial are found in the commercial equipment damages variable. These estimates come from FEMA, SBA and local sources.
Commercial and industrial revenues lost were grouped under the commercial variable. These estimates come from SBA and local sources.
FEMA Damage Survey Reports (DSRs) and local sources were used for the various categories of damage to public facilities. The variables included under this category were number of and damages to public structures, public equipment damage, costs of public restoration and debris clearance, damages to parks and recreation facilities, and damages to water control facilities. The latter variable was drawn from U.S. Department of Agriculture and Corps sources as well as those sources used for the other public variables.
No damage information was provided for public equipment in the three Districts covered by HDR Engineering, Inc.
Variables for railroad damages were miles of lines flooded, amount of damages, and revenues lost. These were determined by contacting the private railroad companies, local officials, and the Federal Railroad Administration. The revenues lost depended upon the cooperation of the railroad companies and that was not always forthcoming.
Variables for trucking damages were the number of trucking companies experiencing damage, the amount of damages, and revenues lost. Damages were determined by contact with the companies involved. Only in Kansas City and St. Louis Districts were damages in this category reported.
Damages to airports included numbers of airports damaged, amounts of that damage, and revenues lost by airports. These variables were acquired from the Federal Aviation Administration and local officials.
Transportation damages were also acquired on miles of roads flooded, traffic rerouting costs, and damages to roads and bridges. Information was gathered from local and state officials and from the FEMA DSRs.
The utilities damages covered water, sewer, electric and general utilities. Data were sought for the utilities damage questions from state departments of natural resources or environmental protection, the FEMA DSRs, local officials. Very few answers were obtained as to numbers of water facilities damaged. Names of some water facilities, evidently those that suffered some damage, are included in the records. Numbers of water customers affected and dollar amount of water facilities damage were more frequently reported. Very few areas reported water revenue lost.
More information is available on sewerage systems. Both the numbers damaged and the dollar amount of that damage are available. No information was provided for numbers of sewerage facilities damaged in the three Districts covered by HDR Engineering, Inc.
Flood damages to the electrical power distribution system were collected through discussions with local, regional and state officials, the FEMA DSRs, and oofficials of the involved electric companies. Variables are presented for number of companies affected, number of customers affected, dollar damages to the companies, and revenues lost. No damage information was provided for counties in the Omaha District.
The final utilities variable, utility systems - general, was a catch-all variable but was specifically used in the St. Louis District counties to report gas utility company damages. That information was obtained from gas company officials. Otherwise, the FEMA DSRs were the primary sources for utility damages not specifically assignable.
Agricultural damages were estimated through contacts with Agricultural Stabilization and Conservation Service officials, Cooperative Extension officials, and the National Agricultural Statistics Service data. Agricultural damages collected were acreages damaged for cotton, soybeans, corn, sorghum, and wheat; an estimate of total dollars of crop damages; number of farm buildings damaged and dollar amounts of that damage; miles of farm ditches damaged and costs of restoring them; dollar costs of farmland restoration; and value of the farmland lost. No cotton acres were reported damaged in the flood; otherwise, all the variables are reported in all the Districts.
The two emergency cost variables are the emergency preparedness and response costs and the evacuation costs. The former was primarily derived from the FEMA DSRs, with supplemental data coming from some local and regional officials. The latter variable came from those sources and the Red Cross and FEMA Disaster Field Offices. No evacuation costs data are available for the Kansas City District counties.
Buyout and relocation costs were typically received from local officials. Very few counties in any District have this variable reported. These costs are typically include in the mitigation costs rather than presented separately.
Mitigation costs were derived from the FEMA DSRs, from SBA reports, and from Housing and Urban Development (HUD) officials. In most cases, the mitigation costs include monies that went for buyouts. Mitigation costs are well reported.
Mission costs are derived from FEMA. These costs too are well reported. These data are not available for the Kansas City District counties.
Unemployment costs were derived from FEMA and USDA reports. The variable includes both unemployment and food aid assistance costs. These data are not available for the Kansas City District counties.
The final variable, crisis counseling, was derived from FEMA reports and state sources. These data are not available for the Kansas City District counties.
