FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION

TITLE: US CENSUS BLOCK GROUPS - 2000 (2009 SPATIAL UPDATE)

Geodataset Name:       BLKGRP2000_MAY09
Geodataset Type:       SHAPEFILE
Geodataset Feature:    Polygon
Feature Count:         9112
GENERAL DESCRIPTION:
This dataset contains 2000 Census Block Groups as they are defined by the Bureau of the Census. The data contains selected fields from the Summary 3 file that includes information on total population, race, sex, age, and economic and housing characteristics. This data is compiled from a sample of approximately 19 million housing units (about 1 in 6 households) that received the Census 2000 long-form questionnaire. Census Block Groups are geographic entities made up of Census Blocks and that are contained within the same Census Tract. Block Groups generally contain between 600 and 3,000 people, with an optimum size of 1,500 people. This layer is an update to the existing 2000 Block Groups, the record count and attribute information are the same, but the linework has been updated as part of the U.S. Census Bureau's MAF/TIGER Accuracy Improvement Project.
DATA SOURCE(S):                    U.S. Census Bureau
SCALE OF ORIGINAL SOURCE MAPS:     Unknown
GEODATASET EXTENT:                 State of Florida
PUBLICATION DATE: 2009 TIME PERIOD OF CONTENT: Begin Date: 200901 End Date: 200905 DOWNLOAD LINK: http://www.fgdl.org/metadataexplorer/explorer.jsp

FEATURE ATTRIBUTE TABLES:

Datafile Name: BLKGRP2000_MAY09
ITEM NAME WIDTH TYPE
OBJECTID
4 OID
Shape
4 Geometry
MTFCC00
5 String
FUNCSTAT00
1 String
ALAND00
8 Double
AWATER00
8 Double
INTPTLAT00
11 String
INTPTLON00
12 String
FIPSSTCO
5 String
TRACT
6 String
GROUP_
1 String
STFID
12 String
STATE
2 String
COUNTY
3 String
WHITE
4 Integer
BLACK
4 Integer
AMERI_ES
4 Integer
ASIAN
4 Integer
HAWN_PI
4 Integer
OTHER
4 Integer
MULT_RACE
4 Integer
HISPANIC
4 Integer
AGE_UNDER5
4 Integer
AGE_5_17
4 Integer
AGE_18_21
4 Integer
AGE_22_29
4 Integer
AGE_30_39
4 Integer
AGE_40_49
4 Integer
AGE_50_64
4 Integer
AGE_65_UP
4 Integer
AVE_HH_SZ
8 Double
FAMILIES
4 Integer
AVE_FAM_SZ
8 Double
DISABLED
4 Integer
TOTAL_INC
4 Integer
LESS_10K
4 Integer
I10K_14K
4 Integer
I15K_19K
4 Integer
I20K_24K
4 Integer
I25K_29K
4 Integer
I30K_34K
4 Integer
I35K_39K
4 Integer
I40K_44K
4 Integer
I45K_49K
4 Integer
I50K_59K
4 Integer
I60K_74K
4 Integer
I75K_99K
4 Integer
I100K_124K
4 Integer
I125K_149K
4 Integer
I150K_199K
4 Integer
I200KMORE
4 Integer
ABVE_BELW
4 Integer
BELOW_POV
4 Integer
ABOVE_POV
4 Integer
OCCUPIED
4 Integer
VACANT
4 Integer
TOTALHOUSE
4 Integer
H1DETACH
4 Integer
H1ATTACH
4 Integer
H2UNIT
4 Integer
H3_4UNIT
4 Integer
H5_9UNIT
4 Integer
H10_19UNIT
4 Integer
H20_49UNIT
4 Integer
H50MORE
4 Integer
MOBILE
4 Integer
OTHERHOUSE
4 Integer
B99_00
4 Integer
B95_98
4 Integer
B90_94
4 Integer
B80_89
4 Integer
B70_79
4 Integer
B60_69
4 Integer
B50_59
4 Integer
B40_49
4 Integer
BEFORE39
4 Integer
OWNER
4 Integer
RENTER
4 Integer
ENROLLED
4 Integer
NOT_ENROLD
4 Integer
LABORERS
4 Integer
M99_00
4 Integer
M95_98
4 Integer
M90_94
4 Integer
M80_89
4 Integer
M70_79
4 Integer
M69BEFORE
4 Integer
CNT_NAME
32 String
MEDFINCOME
4 Integer
S_TOTAL
4 Integer
S_ENGLISH
4 Integer
S_SPANISH
4 Integer
S_EUROPE
4 Integer
S_ASIAN
4 Integer
S_OTHER
4 Integer
S_VERYWELL
4 Integer
S_WELL
4 Integer
S_NOTWELL
4 Integer
S_NOTATALL
4 Integer
PCT_NOTWEL
4 Single
PCT_NOTATA
4 Single
POP25
4 Integer
BACHELORS
4 Integer
PCT_BACHLR
4 Single
PCT_POV
4 Single
WITH_DIS
4 Integer
NO_DIS
4 Integer
PCT_DIS
4 Single
ACRES
8 Double
TOTAL_POP
4 Integer
SAMPLE_POP
4 Integer
POP2000
4 Integer
LOGRECNO
8 Double
LABOR_E
4 Integer
LABOR_UE
4 Integer
DEN_NOTWEL
8 Double
DEN_NOATAL
8 Double
DEN_DIS
8 Double
DEN_WHITE
8 Double
DEN_BLACK
8 Double
DEN_AMERI
8 Double
DEN_ASIAN
8 Double
DEN_HAWN
8 Double
DEN_OTHER
8 Double
DEN_MULTI
8 Double
DEN_HISP
8 Double
PCT_WHITE
8 Double
PCT_BLACK
8 Double
PCT_AMERI
8 Double
PCT_ASIAN
8 Double
PCT_HAWN
8 Double
PCT_OTHER
8 Double
PCT_MULTI
8 Double
PCT_HISP
8 Double
VEHICLE_T
4 Integer
VEHICLE_0
4 Integer
VEHICLE_1
4 Integer
VEHICLE_2
4 Integer
VEHICLE_3
4 Integer
VEHICLE_4
4 Integer
VEHICLE5GR
4 Integer
WHITE_NH
4 Integer
MINORITY
4 Integer
PCTMNRTY
8 Double
POV_THRESH
4 Integer
POV_INDX
8 Double
HSGRAD
4 Integer
MEDHHINC
4 Integer
HH_PUBA
4 Integer
HH_NOPUBA
4 Integer
B40_59
4 Integer
B60_79
4 Integer
B80_00
4 Integer
BEFORE60
4 Integer
TRAN_TOTAL
4 Integer
TRAN_CAR
4 Integer
TRAN_PUB
4 Integer
TRAN_MOTO
4 Integer
TRAN_BIKE
4 Integer
TRAN_WALK
4 Integer
TRAN_OTHER
4 Integer
TRAN_HOME
4 Integer
MEDOOHVAL
4 Integer
OWN95_00
4 Integer
RENT95_00
4 Integer
HS_PER_AC
8 Double
H_MF
4 Integer
H_SF
4 Integer
B90_00
4 Integer
PCT_OWN5
8 Double
PCT_RENT5
8 Double
DESCRIPT
4 Integer
FGDLAQDATE
36 Date
AUTOID
8 Double
SHAPE.AREA
0 Double
SHAPE.LEN
0 Double

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item
Item Description
OBJECTID Internal feature number.

Shape Feature geometry.

MTFCC00 MAF/TIGER feature class code
G5030 = Block Group


FUNCSTAT00 Census 2000 functional status
S = Statistical entity


ALAND00 Census 2000 land area

AWATER00 Census 2000 water area

INTPTLAT00 Census 2000 latitude of the internal point

INTPTLON00 Census 2000 longitude of the internal point

FIPSSTCO State and County identification code.

TRACT 2000 Census Tract

GROUP_ 2000 Block Group

STFID State + County + Tract + Block FIPS

STATE State

COUNTY County

WHITE White alone (P006002)

BLACK Black or african american alone (P006003)

AMERI_ES American indian and alaska native alone (P006004)

ASIAN Asian alone (P006005)

HAWN_PI Native hawaiian and other pacific islander alone (P006006)

OTHER Some other race alone (P006007)

MULT_RACE 2 or more races (P006008)

HISPANIC People who are hispanic or latino (P007010)

AGE_UNDER5 Male and female under 5 ([P008003] + [P008004] + [P008005] + [P008006] + [P008007] + [P008042] + [P008043] + [P008044] + [P008045] + [P008046])

AGE_5_17 Male and female 5 to 17 yrs ([P008008] + [P008009] + [P008010] + [P008011] + [P008012] + [P008013] + [P008014] + [P008015] + [P008016] + [P008017] + [P008018] + [P008019] + [P008020] + [P008047] + [P008048] + [P008049] + [P008050] + [P008051] + [P008052] + [P008053] + [P008054] + [P008055] + [P008056] + [P008057] + [P008058] + [P008059])

AGE_18_21 Male and female 18 to 21 yrs ([P008021] + [P008022] + [P008023] + [P008024] + [P008060] + [P008061] + [P008062] + [P008063])

AGE_22_29 Male and female 22 to 29 yrs ([P008025] + [P008026] + [P008064] + [P008065])

AGE_30_39 Male and female 30 to 39 yrs ([P008027] + [P008028] + [P008066] + [P008067])

AGE_40_49 Male and female 40 to 49 yrs ([P008029] + [P008030] + [P008068] + [P008069])

AGE_50_64 Male and female 50 to 64 yrs ([P008031] + [P008032] + [P008033] + [P008034] + [P008070] + [P008071] + [P008072] + [P008073])

AGE_65_UP Male and female 65 yrs and over ([P008035] + [P008036] + [P008037] + [P008038] + [P008039] + [P008040]+ [P008074] + [P008075] + [P008076] + [P008077] + [P008078] + [P008079])

AVE_HH_SZ Average household size ([P009002]/[P010001])

FAMILIES Families (P010006)

AVE_FAM_SZ Average family size ([P009003]/[P010006])

DISABLED Universe: Total disabilities (P041001)

TOTAL_INC Total: Income (P052001)

LESS_10K Less than $10,000 (P052002)

I10K_14K $10,000 to $14,999 (P052003)

I15K_19K $15,000 to $19,999 (P052004)

I20K_24K $20,000 to $24,999 (P052005)

I25K_29K $25,000 to $29,999 (P052006)

I30K_34K $30,000 to $34,999 (P052007)

I35K_39K $35,000 to $39,999 (P052008)

I40K_44K $40,000 to $44,999 (P052009)

I45K_49K $45,000 to $49,999 (P052010)

I50K_59K $50,000 to $59,999 (P052011)

I60K_74K $60,000 to $74,999 (P052012)

I75K_99K $75,000 to $99,999 (P052013)

I100K_124K $100,000 to $124,999 (P052014)

I125K_149K $125,000 to $149,999 (P052015)

I150K_199K $150,000 to $199,999 (P052016)

I200KMORE $200,000 or more (P052017)

ABVE_BELW Population for whom poverty status is determined Total: (P087001)

BELOW_POV Below poverty status (P087002)

ABOVE_POV Above poverty status (P087010)

OCCUPIED Occupied (H002002)

VACANT Vacant (H002003)

TOTALHOUSE Universe: Housing units Total (H030001)

H1DETACH 1 detached unit (H030002)

H1ATTACH 1 attached unit (H030003)

H2UNIT 2 units (H030004)

H3_4UNIT 3 or 4 units (H030005)

H5_9UNIT 5 to 9 units (H030006)

H10_19UNIT 10 to 19 units (H030007)

H20_49UNIT 20 to 49 units (H030008)

H50MORE 50 or more units (H030009)

MOBILE Mobile home (H030010)

OTHERHOUSE Boat RV van etc. (H030011)

B99_00 Built 1999 to March 2000 (H034002)

B95_98 Built 1995 to 1998 (H034003)

B90_94 Built 1990 to 1994 (H034004)

B80_89 Built 1980 to 1989 (H034005)

B70_79 Built 1970 to 1979 (H034006)

B60_69 Built 1960 to 1969 (H034007)

B50_59 Built 1950 to 1959 (H034008)

B40_49 Built 1940 to 1949 (H034009)

BEFORE39 Built 1939 or earlier (H034010)

OWNER Owner occupied: (H038002)

RENTER Renter occupied: (H038009)

ENROLLED Total Enrolled in school (above 3 years of age) ((P036002 + P036025) - (P036047 + P036024))

NOT_ENROLD Total Not Enrolled in school (above 3 years of age) (P036047 + P036024)

LABORERS Total in labor force - Civilian (Employed and Unemployed) and Armed Forces (P043003 + P043010)

M99_00 Renter & Owner Moved in 1999 to March 2000 (H038003 + H038010)

M95_98 Renter & Owner Moved in 1995 to 1998 (H038004 + H038011)

M90_94 Renter & Owner Moved in 1990 to 1994 (H038005 + H038012)

M80_89 Renter & Owner Moved in 1980 to 1989 (H038006 + H038013)

M70_79 Renter & Owner Moved in 1970 to 1979 (H038007 + H038014)

M69BEFORE Renter & Owner Moved in 1969 or earlier (H038008 + H038015)

CNT_NAME County Name

MEDFINCOME Median family income in 1999 (P077001)

S_TOTAL Total all ages (P019002 + P019024 + P019046 )

S_ENGLISH Speak only English (P019003 + P019025 + P019047 )

S_SPANISH Speak Spanish: (P019004 + P019026 + P019048 )

S_EUROPE Speak other Indo-European languages: (P019009 + P019031 + P019053 )

S_ASIAN Speak Asian and Pacific Island languages: (P019014 + P019036 + P019058 )

S_OTHER Speak other languages: (P019019 + P019041 + P019063 )

S_VERYWELL Speak English "very well" (P019005 + P019027 + P019049 + P019010 + P019032 + P019054 + P019015 + P019037 + P019059 + P019020 + P019042 + P019064 )

S_WELL Speak English "well" (P019006 + P019028 + P019050 + P019011 + P019033 + P019055 + P019016 + P019038 + P019060 + P019021 + P019043 + P019065 )

S_NOTWELL Speak English "not well" (P019007 + P019029 + P019051 + P019012 + P019034 + P019056 + P019017 + P019039 + P019061 + P019022 + P019044 + P019066 )

S_NOTATALL Speak English "not at all" (P019008 + P019030 + P019052 + P019013 + P019035 + P019057 + P019018 + P019040 + P019062 + P019023 + P019045 + P019067 )

PCT_NOTWEL Percent that speak english "not well" ((s_notwell/s_toal) * 100)

PCT_NOTATA Percent that speak english "not at all" ((s_notatall/s_total) * 100)

POP25 Total: Population over 25 (P037001)

BACHELORS Male and Femal Bachelor's degree (P037015 + P037032)

PCT_BACHLR Percent over 25 with Bachelor's degree ((bachelors/pop25) * 100)

PCT_POV Percent below poverty ([below_pov]/[abve_belw] * 100)

WITH_DIS Civilian noninstitutionalized population 5 years and over that have a disablity. ([P042007] + [P042031] + [P042014] + [P042038] + [P042004] + [P042028] + [P042021] + [P042045] + [P042024] + [P042048])

NO_DIS Civilian noninstitutionalized population 5 years and over that do NOT have a disability. ([P042010] + [P042034] + [P042017] + [P042041] + [P042005] + [P042029] + [P042022] + [P042046] + [P042025] + [P042049])

PCT_DIS Percent with disability ([with_dis]/[no_dis] * 100)

ACRES Acreage of Block Group

TOTAL_POP TOTAL POPULATION (with built-in error for SF3: use this field when working with this dataset) (P001001)

SAMPLE_POP UNWEIGHTED SAMPLE COUNT OF THE POPULATION (P002001)

POP2000 Universe: Total population (P003001)

LOGRECNO Census SF3 unique identifier

LABOR_E Civilians in Labor force that are EMPLOYED (POPULATION 16 YEARS AND OVER) ([P043006] + [P043013] )

LABOR_UE Civilians in Labor force that are UNEMPLOYED (POPULATION 16 YEARS AND OVER) ([P043007] + [P043014] )

DEN_NOTWEL density of people per acre that speak english "not well" ([s_notwell]/[acres])

DEN_NOATAL density of people per acre that speak english "not at all" ([s_notatall]/[acres])

DEN_DIS density of people per acre with a dissibility ([with_dis]/[acres])

DEN_WHITE density of White population per acre ([WHITE]/[ACRES])

DEN_BLACK density of Black or african american population per acre ([BLACK]/[ACRES])

DEN_AMERI density of American indian and alaska native population per acre ([AMERI_ES]/[ACRES] )

DEN_ASIAN density of Asian population per acre ([ASIAN]/[ACRES])

DEN_HAWN density of Native hawaiian and other pacific islander population per acre ([HAWN_PI]/[ACRES])

DEN_OTHER density of Some other race population per acre ([OTHER]/[ACRES])

DEN_MULTI density of 2 or more races population per acre ([MULT_RACE]/[ACRES])

DEN_HISP density of Hispanic or latino population per acre ([HISPANIC]/[ACRES] )

PCT_WHITE White percentage of total population (([WHITE] /[total_pop]) *100 )

PCT_BLACK Black or african american percentage of total population (([BLACK] /[total_pop]) *100)

PCT_AMERI American indian and alaska native percentage of total population (([AMERI_ES] /[total_pop]) *100)

PCT_ASIAN Asian percentage of total population (([ASIAN] /[total_pop]) *100)

PCT_HAWN Native hawaiian and other pacific islander percentage of total population (([HAWN_PI] /[total_pop]) *100 )

PCT_OTHER Some other race percentage of total population (([OTHER] /[total_pop]) *100)

PCT_MULTI 2 or more races percentage of total population (([MULT_RACE] /[total_pop]) *100)

PCT_HISP Hispanic or latino percentage of total population (([HISPANIC] /[total_pop]) *100)

VEHICLE_T Total occupied Housing units ([H044001])

VEHICLE_0 Housing units with No vehicle available ([H044003] + [H044010])

VEHICLE_1 Housing units with 1 vehicle available ([H044004] + [H044011])

VEHICLE_2 Housing units with 2 vehicles available ([H044005] + [H044012])

VEHICLE_3 Housing units with 3 vehicles available ([H044006] + [H044013])

VEHICLE_4 Housing units with 4 vehicles available ([H044007] + [H044014])

VEHICLE5GR Housing units with 5 or more vehicles available ([H044008] + [H044015])

WHITE_NH Population not hispanic white alone ([P007003])

MINORITY "Minority Population" or Population that is not white (note: Minority is not a Census Bureau term ([total_pop] - [white_nh])

PCTMNRTY Percent minority (([minority]/[total_pop])* 100)

POV_THRESH Poverty Threshold Value - The threshold values are based on how many people make up a family. This is the number that determines if a family and all of its members are above the Poverty Line. In this case the the Average Family Size [Ave_fam_sz]was rounded to nearest whole number then the corresponding Poverty Threshold Value was assigned to the Block Group.

POV_INDX Poverty index ([Medfincome]/[Pov_thresh])

HSGRAD Persons that are a High school graduate (includes equivalency) or higher for the population 25 years and over ([P037011] + [P037012] + [P037013] + [P037014] + [P037015] + [P037016] + [P037017] + [P037018] + [P037028] + [P037029] + [P037030] + [P037031] + [P037032] + [P037033] + [P037034] + [P037035])

MEDHHINC Median household income in 1999 (DOLLARS) [P053001]

HH_PUBA Households with public assistance income [P064002]

HH_NOPUBA Households with no public assistance income [P064003]

B40_59 Built 1940 to 1959 [B40_49] + [B50_59]

B60_79 Built 1960 to 1979 [B60_69] + [B70_79]

B80_00 Built 1980 to March 2000 [B80_89] + [B90_94] + [B95_98] + [B99_00]

BEFORE60 Built 1959 or earlier [B50_59] + [B40_49] + [Before39]

TRAN_TOTAL Total People calculated for means of transportation to work for workers 16 years and over [16]

TRAN_CAR Means of transportation to work: car, truck, or van [P030002]

TRAN_PUB Means of transportation to work: public transportation [P030005]

TRAN_MOTO Means of transportation to work: motorcycle [P030012]

TRAN_BIKE Means of transportation to work: bicycle [P030013]

TRAN_WALK Means of transportation to work: walked [P030014]

TRAN_OTHER Means of transportation to work: other [P030015]

TRAN_HOME Means of transportation to work: worked at home [P030016]

MEDOOHVAL Median Value (dollars) for all owner-occupied housing units [H085001]

OWN95_00 Owner Moved in 1995 to March 2000 ([H038003] + [H038004])

RENT95_00 Renter Moved in 1995 to March 2000 ([H038010] + [H038011])

HS_PER_AC Housing Units Per Acre ([TOTALHOUSE] / [ACRES])

H_MF Multi Family (2 or more units) ([H2UNIT] + [H3_4UNIT] + [H5_9UNIT] + [H10_19UNIT] + [H20_49UNIT] + [H50MORE])

H_SF Single Family (1 detached or 1 attached unit - does not include mobile homes) [H1DETACH] + [H1ATTACH]

B90_00 Built 1990 to March 2000 ([B99_00] + [B95_98] + [B90_94])

PCT_OWN5 Percent Owner Moved in 1995 to March 2000 ([Own95_00] / [OWNER] * 100)

PCT_RENT5 Percent Renter Moved in 1995 to March 2000 ([Rent95_00] / [RENTER] * 100)

DESCRIPT GeoPlan added field based on Total Population

FGDLAQDATE Date GeoPlan acquired data from source

AUTOID Unique ID added by GeoPlan

SHAPE.AREA Area in meters

SHAPE.LEN Perimeter in meters


USER NOTES:
The Census Bureau performed automated tests to ensure logical consistency and 
limits of shapefiles.  Segments making up the outer and inner boundaries of a 
polygon tie end-to-end to completely enclose the area.  All polygons are tested for 
closure.
The Census Bureau uses its internally developed geographic update system to 
enhance and modify spatial and attribute data in the Census MAF/TIGER 
database.  Standard geographic codes, such as FIPS codes for states, counties, 
municipalities, county subdivisions, places, American Indian/Alaska Native/Native 
Hawaiian areas, and congressional districts are used when encoding spatial 
entities.  The Census Bureau performed spatial data tests for logical consistency of 
the codes during the compilation of the original Census MAF/TIGER database 
files.  Most of the codes for geographic entities except states, counties, urban 
areas, Core Based Statistical Areas (CBSAs), American Indian Areas (AIAs), and 
congressional districts were provided to the Census Bureau by the USGS, the 
agency responsible for maintaining FIPS 55.  Feature attribute information has 
been examined but has not been fully tested for consistency.
For the TIGER/Line Shapefiles, the Point and Vector Object Count for the 
G-polygon SDTS Point and Vector Object Type reflects the number of records in 
the shapefile attribute table.  For multi-polygon features, only one attribute record 
exists for each multi-polygon rather than one attribute record per individual 
G-polygon component of the multi-polygon feature.  TIGER/Line Shapefile 
multi-polygons are an exception to the G-polygon object type classification.  
Therefore, when multi-polygons exist in a shapefile, the object count will be less 
than the actual number of G-polygons.
Data completeness of the TIGER/Line Shapefiles reflects the contents of the 
Census MAF/TIGER database at the time the TIGER/Line Shapefiles were 
created.
GeoPlan relied on the integrity of the attribute information within
the original data.

In order for others to use the information in the Census MAF/TIGER database in a 
geographic information system (GIS) or for other geographic applications, the 
Census Bureau releases to the public extracts of the database in the form of 
TIGER/Line Shapefiles.

This data is provided 'as is' and its horizontal positional accuracy
has not been verified by GeoPlan

This data is provided 'as is' and its vertical positional accuracy
has not been verified by GeoPlan

The TIGER/Line Shapefile products are not copyrighted however TIGER/Line 
and Census TIGER are registered trademarks of the U.S. Census Bureau.  These 
products are free to use in a product or publication, however acknowledgement 
must be given to the U.S. Census Bureau as the source.
The boundary information in the TIGER/Line Shapefiles are for statistical data 
collection and tabulation purposes only; their depiction and designation for 
statistical purposes does not constitute a determination of jurisdictional authority or 
rights of ownership or entitlement and they are not legal land 
descriptions. Coordinates in the TIGER/Line shapefiles have six implied decimal 
places, but the positional accuracy of these coordinates is not as great as the six 
decimal places suggest.

The Florida Geographic Data Library is a collection of Geospatial Data
compiled by the University of Florida GeoPlan Center with support from
the Florida Department of Transportation. GIS data available in FGDL is
collected from various state, federal, and other agencies (data sources)
who are data stewards, producers, or publishers. The data available in
FGDL may not be the most current version of the data offered by the
data source. University of Florida GeoPlan Center makes no guarantees
about the currentness of the data and suggests that data users check
with the data source to see if more recent versions of the data exist.

Furthermore, the GIS data available in the FGDL are provided 'as is'.
The University of Florida GeoPlan Center makes no warranties, guaranties
or representations as to the truth, accuracy or completeness of the data
provided by the data sources. The University of Florida GeoPlan Center
makes no representations or warranties about the quality or suitability
of the materials, either expressly or implied, including but not limited
to any implied warranties of merchantability, fitness for a particular
purpose, or non-infringement. The University of Florida GeoPlan Center
shall not be liable for any damages suffered as a result of using,
modifying, contributing or distributing the materials.

A note about data scale: 

Scale is an important factor in data usage.  Certain scale datasets
are not suitable for some project, analysis, or modeling purposes.
Please be sure you are using the best available data. 

1:24000 scale datasets are recommended for projects that are at the
county level.
1:24000 data should NOT be used for high accuracy base mapping such
as property parcel boundaries.
1:100000 scale datasets are recommended for projects that are at the
multi-county or regional level.
1:125000 scale datasets are recommended for projects that are at the
regional or state level or larger.

Vector datasets with no defined scale or accuracy should be
considered suspect. Make sure you are familiar with your data
before using it for projects or analysis. Every effort has been
made to supply the user with data documentation. For additional
information, see the References section and the Data Source Contact
section of this documentation. For more information regarding
scale and accuracy, see our webpage at:
http://geoplan.ufl.edu/education.html

REFERENCES:


DATA LINEAGE SUMMARY:
TIGER/Line Shapefiles are extracted from the Census MAF/TIGER database by 
nation, state, county, and entity.  Census MAF/TIGER data for the nation, state, 
county, and entity are then distributed among 58 shapefiles each containing 
attributes for line, polygon, or landmark geographic data.
Process Date: 2009

The spatial portion of this data set was downloaded in November 2010. The data was downloaded in shapefile format from the following website: http://www2.census.gov/cgi-bin/shapefiles2009/state-files?state=12 The shapefile was in Decimal Degrees Nad 83 and was projected to Albers HPGN. The attribute table from the existing FGDL layer was then joined to this shapefile based on BLKGRPCE00 and STFID fields. The following fields were deleted because they were redundant: STATEFP00 COUNTYFP00 TRACTCE00 BLKGRPCE00 BKGPIDFP00 NAMELSAD00 The following fields were added with the new data when compared to the existing FGDL Block Group layer, they appear at the beginning of the attribute table (far left): MTFCC00 FUNCSTAT00 ALAND00 AWATER00 INTPTLAT00 INTPTLON00 -Name was changed from tl_2009_12_bg00 to blkgrp2000_may09 -Added FGDLAQDATE based on date data downloaded from source. Process Date: 20101122
Data imported to ArcSDE and exported as a shapefile. Process Date: 20101206
MAP PROJECTION PARAMETERS:

Projection                          ALBERS
Datum                               HPGN
Units                               METERS
Spheroid                            GRS1980
1st Standard Parallel               24  0  0.000
2nd Standard Parallel               31 30  0.000
Central Meridian                   -84 00  0.000
Latitude of Projection's Origin     24  0  0.000
False Easting (meters)              400000.00000
False Northing (meters)             0.00000

DATA SOURCE CONTACT (S):

Name:
Abbr. Name:
Address:


Phone:

Web site:
E-mail:
Contact Person:
         Phone:
        E-mail:
U.S. Census Bureau
USCB
4600 Silver Hill Road, Stop 7400
Washington, DC
20233-7400
301-763-1128

http://www.census.gov/geo/www/tiger geo.tiger@census.gov

FGDL CONTACT:
Name:                   FLORIDA GEOGRAPHIC DATA LIBRARY
Abbr. Name:             FGDL
Address:                Florida Geographic Data Library
                        431 Architecture Building
                        PO Box 115706
                        Gainesville, FL  32611-5706
Web site:               http://www.fgdl.org

Contact FGDL: 

      Technical Support:	        http://www.fgdl.org/fgdlfeed.html
      FGDL Frequently Asked Questions:  http://www.fgdl.org/fgdlfaq.html
      FGDL Mailing Lists:		http://www.fgdl.org/fgdl-l.html
      For FGDL Software:                http://www.fgdl.org/software.html