20260310
12315900
1.0
FALSE
Flood_Zones_Single_Dissolve
650000.000000
990000.000000
650000.000000
990000.000000
1
002
0.000
Projected
GCS_North_American_1983_HARN
Linear Unit: Foot_US (0.304801)
NAD_1983_HARN_StatePlane_Florida_East_FIPS_0901_Feet
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.6.0'><WKT>PROJCS["NAD_1983_HARN_StatePlane_Florida_East_FIPS_0901_Feet",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",656166.6666666665],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-81.0],PARAMETER["Scale_Factor",0.9999411764705882],PARAMETER["Latitude_Of_Origin",24.33333333333333],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2881]]</WKT><XOrigin>-17791300</XOrigin><YOrigin>-41645400</YOrigin><XYScale>3048.0060960121918</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2881</WKID><LatestWKID>2881</LatestWKID></ProjectedCoordinateSystem>
20260310
12261900
20260310
12261900
FGDC
Daryle L. Fontenot, PE, CFM
AECOM
Project Manager
6201 Fairview Road, Suite 400
Charlotte
NC
28210
US
daryle.fontenot@aecom.com
20260310
ArcGIS Metadata
1.0
GIS Service Bureau
FEMA, Map Service Center
1-877-336-2627
P.O. Box 3617
Oakton
Virginia
22124
US
GIS-Services@pbcgov.org
Data requests must include the full name of the community or county and the FIRM panel number(s) or the 7.5- minute series quadrangle sheet area(s) covered by the request.
Contact Distributor
MapInfo Interchange file (MIF)
http://hazards.fema.gov
http://hazards.fema.gov
http://hazards.fema.gov
http://hazards.fema.gov
0.000
File Geodatabase Feature Class
Flood_Zones_Single_Dissolve
2017-10-05
Federal Emergency Management Agency
Washington, DC
Federal Emergency Management Agency
FEMA-DFIRM-Final
FEMA CASE 08-04-6530S
The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).
The objective of the Floodplain Mapping/Redelineation data submission is to archive the flood boundary and redelineation data for a study in a database such that it can be revised and used with minimum effort in future flood insurance studies or map revisions. This digital data is produced for the purposes of updating/creating a DFIRM database.
Federal Emergency Management Agency
500 C Street, S.W.
Washington
District of Columbia
20472
US
miphelp@riskmapcds.com
COMMUNITY CITY OF SOUTH BAY
COMMUNITY TOWN OF MANGONIA PARK
FEMA-CID 120221
COMMUNITY TOWN OF MANALAPAN
FEMA-CID 120198
FEMA-CID 125102
COMMUNITY CITY OF PAHOKEE
COMMUNITY TOWN OF CLOUD LAKE
FEMA-CID 120228
FEMA-CID 120208
COMMUNITY PALM BEACH COUNTY AND INCORPORATED AREAS
FEMA-CID 120207
COMMUNITY TOWN OF HAVERHILL
COMMUNITY TOWN OF PALM BEACH
COMMUNITY TOWN OF LANTANA
FEMA-CID 125120
FEMA-CID 120216
FEMA-CID 125111
COMMUNITY CITY OF WEST PALM BEACH
FEMA-CID 120223
COMMUNITY CITY OF PALM BEACH GARDENS
FEMA-CID 120217
REGION 04
FEMA-CID 120201
COMMUNITY TOWN OF JUPITER
FEMA-CID 125109
COMMUNITY TOWN OF LAKE PARK
COMMUNITY TOWN OF GULF STREAM
COMMUNITY TOWN OF SOUTH PALM BEACH
FEMA-CID 120192
COMMUNITY TOWN OF JUNO BEACH
FEMA-CID 120219
COMMUNITY TOWN OF LOXAHATCHEE GROVES
COMMUNITY TOWN OF JUPITER INLET COLONY
STATE FL
COMMUNITY CITY OF BELLE GLADE
COMMUNITY VILLAGE OF TEQUESTA
COMMUNITY TOWN OF OCEAN RIDGE
FEMA-CID 120197
COMMUNITY CITY OF GREENACRES
COMMUNITY TOWN OF HYPOLUXO
FEMA-CID 120205
COMMUNITY TOWN OF GLEN RIDGE
FEMA-CID 120195
FEMA-CID 120213
FEMA-CID 125142
COMMUNITY CITY OF ATLANTIS
FEMA-CID 120194
FEMA-CID 125119
FEMA-CID 125137
FEMA-CID 125134
FEMA-CID 120211
COMMUNITY VILLAGE OF GOLF
COMMUNITY VILLAGE OF ROYAL PALM BEACH
FEMA-CID 125157
COMMUNITY TOWN OF LAKE CLARKE SHORES
COUNTY-FIPS 099
COMMUNITY CITY DELRAY BEACH
COMMUNITY CITY OF LAKE WORTH
COMMUNITY VILLAGE OF WELLINGTON
COMMUNITY TOWN OF BRINY BREEZES
FEMA-CID 12099C
COMMUNITY CITY OF BOYNTON BEACH
FEMA-CID 120193
FEMA-CID 120220
COMMUNITY CITY OF BOCA RATON
FEMA-CID 120214
COUNTY PALM BEACH
FEMA-CID 120226
FEMA-CID 120196
COMMUNITY TOWN OF PALM BEACH SHORES
FEMA-CID 120200
FEMA-CID 120229
FEMA-CID 120203
FEMA-CID 120225
FEMA-CID 120309
COMMUNITY TOWN OF HIGHLAND BEACH
FEMA-CID 120212
COMMUNITY VILLAGE OF NORTH PALM BEACH
FEMA-CID 120215
COMMUNITY CITY OF RIVIERA BEACH
FEMA-CID 120227
COMMUNITY VILLAGE OF PALM SPRINGS
CBRS
Coastal Barrier Resources System
FEMA Flood Hazard Zone
Flood Insurance Rate Map
Floodway
Digital Flood Insurance Rate Map
Base Flood Elevation
FIRM
Riverine Flooding
Floodplain Mapping
DFIRM Database
Special Flood Hazard Area
SFHA
NFIP
Coastal Flooding
DFIRM
FEMA NFIP Topic Category
environment
hydrology
inlandWaters
ISO 19115 Topic Category
CBRS
COMMUNITY CITY OF SOUTH BAY
Coastal Barrier Resources System
COMMUNITY TOWN OF MANGONIA PARK
FEMA-CID 120221
COMMUNITY TOWN OF MANALAPAN
FEMA-CID 120198
FEMA-CID 125102
COMMUNITY CITY OF PAHOKEE
COMMUNITY TOWN OF CLOUD LAKE
FEMA Flood Hazard Zone
FEMA-CID 120228
FEMA-CID 120208
COMMUNITY PALM BEACH COUNTY AND INCORPORATED AREAS
FEMA-CID 120207
COMMUNITY TOWN OF HAVERHILL
COMMUNITY TOWN OF PALM BEACH
COMMUNITY TOWN OF LANTANA
FEMA-CID 125120
FEMA-CID 120216
environment
FEMA-CID 125111
COMMUNITY CITY OF WEST PALM BEACH
Flood Insurance Rate Map
FEMA-CID 120223
COMMUNITY CITY OF PALM BEACH GARDENS
FEMA-CID 120217
REGION 04
FEMA-CID 120201
COMMUNITY TOWN OF JUPITER
FEMA-CID 125109
Floodway
COMMUNITY TOWN OF LAKE PARK
COMMUNITY TOWN OF GULF STREAM
Digital Flood Insurance Rate Map
COMMUNITY TOWN OF SOUTH PALM BEACH
FEMA-CID 120192
COMMUNITY TOWN OF JUNO BEACH
Base Flood Elevation
FIRM
FEMA-CID 120219
Riverine Flooding
COMMUNITY TOWN OF LOXAHATCHEE GROVES
COMMUNITY TOWN OF JUPITER INLET COLONY
STATE FL
COMMUNITY CITY OF BELLE GLADE
COMMUNITY VILLAGE OF TEQUESTA
COMMUNITY TOWN OF OCEAN RIDGE
FEMA-CID 120197
COMMUNITY CITY OF GREENACRES
COMMUNITY TOWN OF HYPOLUXO
FEMA-CID 120205
Floodplain Mapping
COMMUNITY TOWN OF GLEN RIDGE
DFIRM Database
FEMA-CID 120195
Special Flood Hazard Area
FEMA-CID 120213
SFHA
FEMA-CID 125142
COMMUNITY CITY OF ATLANTIS
FEMA-CID 120194
FEMA-CID 125119
FEMA-CID 125137
FEMA-CID 125134
NFIP
FEMA-CID 120211
COMMUNITY VILLAGE OF GOLF
COMMUNITY VILLAGE OF ROYAL PALM BEACH
Coastal Flooding
FEMA-CID 125157
COMMUNITY TOWN OF LAKE CLARKE SHORES
COUNTY-FIPS 099
COMMUNITY CITY DELRAY BEACH
hydrology
COMMUNITY CITY OF LAKE WORTH
COMMUNITY VILLAGE OF WELLINGTON
COMMUNITY TOWN OF BRINY BREEZES
FEMA-CID 12099C
DFIRM
COMMUNITY CITY OF BOYNTON BEACH
FEMA-CID 120193
FEMA-CID 120220
COMMUNITY CITY OF BOCA RATON
FEMA-CID 120214
COUNTY PALM BEACH
FEMA-CID 120226
FEMA-CID 120196
COMMUNITY TOWN OF PALM BEACH SHORES
FEMA-CID 120200
FEMA-CID 120229
FEMA-CID 120203
FEMA-CID 120225
inlandWaters
FEMA-CID 120309
COMMUNITY TOWN OF HIGHLAND BEACH
FEMA-CID 120212
COMMUNITY VILLAGE OF NORTH PALM BEACH
FEMA-CID 120215
COMMUNITY CITY OF RIVIERA BEACH
FEMA-CID 120227
COMMUNITY VILLAGE OF PALM SPRINGS
No warranty expressed or implied is made by FEMA regarding the utility of the data on any other system nor shall the act of distribution constitute any such warranty. FEMA will warrant the delivery of this product in a computer-readable format, and will offer appropriate adjustment of credit when the product is determined unreadable by correctly adjusted computer input peripherals, or when the physical medium is delivered in damaged condition. Requests for adjustment of credit must be made within 90 days from the date of this shipment from the ordering site.
The hardcopy FIRM and DFIRM and the accompanying FISs are the official designation of SFHAs and Base Flood Elevations (BFEs) for the NFIP. For the purposes of the NFIP, changes to the flood risk information published by FEMA may only be performed by FEMA and through the mechanisms established in the NFIP regulations (44 CFR Parts 59-78). These digital data are produced in conjunction with the hardcopy FIRMs and generally match the hardcopy map exactly. However the hardcopy flood maps and flood profiles are the authoritative documents for the NFIP. Acknowledgement of FEMA would be appreciated in products derived from these data.
Flood Insurance Rate Map, Palm Beach County, FL and Incorporated Areas.
2017-10-05
Federal Emergency Management Agency
Federal Emergency Management Agency
Washington, DC
map
http://msc.fema.gov/
FEMA CASE 08-04-6530S
2017-10-05
Federal Emergency Management Agency
Esri ArcGIS 13.6.0.59527
FIRM and FIS Effective Date
2017-10-05
-81.018948
-79.974321
26.11832
27.057299
1
-81.018948
-79.974321
27.057299
26.118320
When FEMA revises an FIS, adjacent studies are checked to ensure agreement between flood elevations at the boundaries. Likewise flood elevations at the confluence of streams studied independently are checked to ensure agreement at the confluence. The FIRM and the FIS are developed together and care is taken to ensure that the elevations and other features shown on the flood profiles in the FIS agree with the information shown on the FIRM. However, the elevations as shown on the FIRM are rounded whole-foot elevations. They must be shown so that a profile recreated from the elevations on the FIRM will match the FIS profiles within one half of one foot.
Data contained in the DFIRM Database files reflect the content of the source materials. Features may have been eliminated or generalized on the source graphic, due to scale and legibility constraints. With new mapping, FEMA plans to maintain full detail in the spatial data it produces. However, older information is often transferred from existing maps where some generalization has taken place. Flood risk data are developed for communities participating in the NFIP for use in insurance rating and for floodplain management. Flood hazard areas are determined using statistical analyses of records of river flow, storm tides, and rainfall; information obtained through consultation with the communities; floodplain topographic surveys; and hydrological and hydraulic analysis. Both detailed and approximate analyses are employed. Generally, detailed analyses are used to generate flood risk data only for developed or developing areas of communities. For areas where little or no development is expected to occur, FEMA uses approximate analyses to generate flood risk data. Typically, only drainage areas that are greater than one square mile are studied.
The DFIRM Database consists of community based vector files and associated attributes produced in conjunction with the hard copy FEMA FIRM. The published effective FIRM and DFIRM maps are issued as the official designation of the SFHAs. As such they are adopted by local communities and form the basis for administration of the NFIP. For these purposes they are authoritative. Provisions exist in the regulations for public review, appeals and corrections of the flood risk information shown to better match real world conditions. As with any engineering analysis of this type, variation from the estimated flood heights and floodplain boundaries is possible. Details of FEMA's requirements for the FISs and flood mapping process that produces these data are available in the Guidelines and Specifications for Flood Hazard Mapping Partners. Attribute accuracy was tested by manual comparison of source graphics with hardcopy plots and a symbolized display on an interactive computer graphic system. Independent quality control testing of FEMA's DFIRM database was also performed. To obtain more detailed information in areas where Base Flood Elevations (BFEs) and/or floodways have been determined, users are encouraged to consult the Flood Profiles and Floodway Data and/or Summary of Stillwater Elevations tables contained within the FIS report that accompanies this DFIRM database. Users should be aware that BFEs shown in the S_BFE table represent rounded whole-foot elevations. These BFEs are intended for flood insurance rating purposes only and should not be used as the sole source of flood elevation information. Accordingly, flood elevation data presented in the FIS report must be used in conjunction with the FIRM for purposes of construction and/or floodplain management. The 1-percent-annual-chance water-surface elevations shown in the S_XS table match the regulatory elevations shown in the FIS report.
The DFIRM Database consists of community based vector files and associated attributes produced in conjunction with the hardcopy FEMA FIRM. The published effective FIRM and DFIRM are issued as the official designation of the SFHAs. As such they are adopted by local communities and form the basis for administration of the NFIP. For these purposes they are authoritative. Provisions exist in the regulations for public review, appeals and corrections of the flood risk information shown to better match real world conditions. As with any engineering analysis of this type, variation from the estimated flood heights and floodplain boundaries is possible. Details of FEMA's requirements for the FISs and flood mapping process that produces these data are available in the Guidelines and Specifications for Flood Hazard Mapping Partners. Horizontal accuracy was tested by manual comparison of source graphics with hardcopy plots and a symbolized display on an interactive computer graphic system. Independent quality control testing of FEMA's DFIRM database was also performed.
The DFIRM Database consists of community based vector files and associated attributes produced in conjunction with the hardcopy FEMA FIRM. The published effective FIRM and DFIRM maps are issued as the official designation of the SFHAs. As such they are adopted by local communities and form the basis for administration of the NFIP. For these purposes they are authoritative. Provisions exist in the regulations for public review, appeals and corrections of the flood risk information shown to better match real world conditions. As with any engineering analysis of this type, variation from the estimated flood heights and floodplain boundaries is possible. Details of FEMA's requirements for the FISs and flood mapping process that produces these data are available in the Guidelines and Specifications for Flood Hazard Mapping Partners. Vertical accuracy was tested by manual comparison of source graphics with hardcopy plots and a symbolized display on an interactive computer graphic system. Independent quality control testing of FEMA's DFIRM database was also performed.
Floodplain Mapping and Redelineation datasets are compiled in conjunction with the hardcopy FIRM and the final FIS report. The specifics of the hydrologic and hydraulic analyses performed are detailed in the FIS report. The results of these studies are submitted in digital format to FEMA. These data and unrevised data from effective FIRMs are compiled onto the base map used for DFIRM publication and checked for accuracy and compliance with FEMA standards.
2014-08-18
Hydrology
Hydrology
BASE5
2008-09-24
USGS
publication date
2008-09-24
S_BFE, S_Fld_Haz_Ln, S_Fld_Haz_Ar, and S_Wtr_Ln
E-2E/E-3/E-4 Basin FLOOD STUDY City of Boca Raton, Palm Beach County, Florida
STUDY2
2014-01-01
Tomasello Consulting Engineers, Inc.
publication date
2014-01-01
USGS Quad Index
USGS Quad Index
BASE1
2002-01-01
USGS
publication date
2002-01-01
Transportation
Transportation
BASE4
2000-01-01
ESRI Tiger Data
publication date
2000-01-01
Benchmarks
Benchmarks
BASE2
2004-01-01
NOAA, NGS
publication date
2004-01-01
S_Fld_Haz_Ln and S_Fld_Haz_Ar
C51 Basin FLOOD STUDY Palm Beach County and Incorporated Areas, Florida
STUDY3
2014-01-01
South Florida Water Management District
publication date
2014-01-01
PLSS Grid
Public Land Survey System
BASE7
2004-06-03
USGS
publication date
2004-06-03
S_Fld_Haz_Ln and S_Fld_Haz_Ar
FLOOD STUDY Palm Beach County and Incorporated Areas, Florida
STUDY4
2014-01-01
South Florida Water Management District
publication date
2014-01-01
Political Boundaries
Political Boundaries
BASE3
2006-11-01
Palm Beach Zoning Board
publication date
2006-11-01
Ortho Imagery Base Index
Ortho Imagery Base Index
BASE6
2009-01-09
Palm Beach County
publication date
2009-01-09
Palm Beach County FIS
Flood Insurance Study, Palm Beach County, Florida and Incorporated Areas
STUDY1
2017-10-05
Federal Emergency Management Agency
This FIS was prepared to include the incorporated communities within, Palm Beach County
publication date
2017-10-05
0
Flood_Zones_Single_Dissolve
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
FLD_ZONE
FLD_ZONE
String
55
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
The DFIRM Database is made up of several data themes containing both spatial and attribute information. These data together represent the current flood risk for the subject area as identified by FEMA. The attribute tables include SFHA locations, flood zone designations, BFEs, political entities, cross-section locations, FIRM panel information, and other data related to the NFIP.
dataset
EPSG
6.3(9.0.0)
Simple
FALSE
0
TRUE
FALSE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