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 |
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GENERAL DESCRIPTION:
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DATA SOURCE(S): U.S. Census Bureau SCALE OF ORIGINAL SOURCE MAPS: Unknown GEODATASET EXTENT: State of Florida |
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. |
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Shape |
Feature geometry. |
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MTFCC00 |
MAF/TIGER feature class code
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FUNCSTAT00 |
Census 2000 functional status
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ALAND00 |
Census 2000 land area |
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AWATER00 |
Census 2000 water area |
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INTPTLAT00 |
Census 2000 latitude of the internal point |
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INTPTLON00 |
Census 2000 longitude of the internal point |
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FIPSSTCO |
State and County identification code. |
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TRACT |
2000 Census Tract |
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GROUP_ |
2000 Block Group |
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STFID |
State + County + Tract + Block FIPS |
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STATE |
State |
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COUNTY |
County |
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WHITE |
White alone (P006002) |
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BLACK |
Black or african american alone (P006003) |
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AMERI_ES |
American indian and alaska native alone (P006004) |
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ASIAN |
Asian alone (P006005) |
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HAWN_PI |
Native hawaiian and other pacific islander alone (P006006) |
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OTHER |
Some other race alone (P006007) |
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MULT_RACE |
2 or more races (P006008) |
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HISPANIC |
People who are hispanic or latino (P007010) |
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AGE_UNDER5 |
Male and female under 5 ([P008003] + [P008004] + [P008005] + [P008006] + [P008007] + [P008042] + [P008043] + [P008044] + [P008045] + [P008046]) |
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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]) |
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AGE_18_21 |
Male and female 18 to 21 yrs ([P008021] + [P008022] + [P008023] + [P008024] + [P008060] + [P008061] + [P008062] + [P008063]) |
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AGE_22_29 |
Male and female 22 to 29 yrs ([P008025] + [P008026] + [P008064] + [P008065]) |
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AGE_30_39 |
Male and female 30 to 39 yrs ([P008027] + [P008028] + [P008066] + [P008067]) |
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AGE_40_49 |
Male and female 40 to 49 yrs ([P008029] + [P008030] + [P008068] + [P008069]) |
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AGE_50_64 |
Male and female 50 to 64 yrs ([P008031] + [P008032] + [P008033] + [P008034] + [P008070] + [P008071] + [P008072] + [P008073]) |
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AGE_65_UP |
Male and female 65 yrs and over ([P008035] + [P008036] + [P008037] + [P008038] + [P008039] + [P008040]+ [P008074] + [P008075] + [P008076] + [P008077] + [P008078] + [P008079]) |
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AVE_HH_SZ |
Average household size ([P009002]/[P010001]) |
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FAMILIES |
Families (P010006) |
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AVE_FAM_SZ |
Average family size ([P009003]/[P010006]) |
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DISABLED |
Universe: Total disabilities (P041001) |
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TOTAL_INC |
Total: Income (P052001) |
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LESS_10K |
Less than $10,000 (P052002) |
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I10K_14K |
$10,000 to $14,999 (P052003) |
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I15K_19K |
$15,000 to $19,999 (P052004) |
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I20K_24K |
$20,000 to $24,999 (P052005) |
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I25K_29K |
$25,000 to $29,999 (P052006) |
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I30K_34K |
$30,000 to $34,999 (P052007) |
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I35K_39K |
$35,000 to $39,999 (P052008) |
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I40K_44K |
$40,000 to $44,999 (P052009) |
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I45K_49K |
$45,000 to $49,999 (P052010) |
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I50K_59K |
$50,000 to $59,999 (P052011) |
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I60K_74K |
$60,000 to $74,999 (P052012) |
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I75K_99K |
$75,000 to $99,999 (P052013) |
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I100K_124K |
$100,000 to $124,999 (P052014) |
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I125K_149K |
$125,000 to $149,999 (P052015) |
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I150K_199K |
$150,000 to $199,999 (P052016) |
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I200KMORE |
$200,000 or more (P052017) |
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ABVE_BELW |
Population for whom poverty status is determined Total: (P087001) |
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BELOW_POV |
Below poverty status (P087002) |
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ABOVE_POV |
Above poverty status (P087010) |
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OCCUPIED |
Occupied (H002002) |
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VACANT |
Vacant (H002003) |
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TOTALHOUSE |
Universe: Housing units Total (H030001) |
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H1DETACH |
1 detached unit (H030002) |
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H1ATTACH |
1 attached unit (H030003) |
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H2UNIT |
2 units (H030004) |
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H3_4UNIT |
3 or 4 units (H030005) |
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H5_9UNIT |
5 to 9 units (H030006) |
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H10_19UNIT |
10 to 19 units (H030007) |
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H20_49UNIT |
20 to 49 units (H030008) |
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H50MORE |
50 or more units (H030009) |
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MOBILE |
Mobile home (H030010) |
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OTHERHOUSE |
Boat RV van etc. (H030011) |
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B99_00 |
Built 1999 to March 2000 (H034002) |
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B95_98 |
Built 1995 to 1998 (H034003) |
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B90_94 |
Built 1990 to 1994 (H034004) |
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B80_89 |
Built 1980 to 1989 (H034005) |
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B70_79 |
Built 1970 to 1979 (H034006) |
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B60_69 |
Built 1960 to 1969 (H034007) |
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B50_59 |
Built 1950 to 1959 (H034008) |
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B40_49 |
Built 1940 to 1949 (H034009) |
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BEFORE39 |
Built 1939 or earlier (H034010) |
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OWNER |
Owner occupied: (H038002) |
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RENTER |
Renter occupied: (H038009) |
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ENROLLED |
Total Enrolled in school (above 3 years of age) ((P036002 + P036025) - (P036047 + P036024)) |
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NOT_ENROLD |
Total Not Enrolled in school (above 3 years of age) (P036047 + P036024) |
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LABORERS |
Total in labor force - Civilian (Employed and Unemployed) and Armed Forces (P043003 + P043010) |
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M99_00 |
Renter & Owner Moved in 1999 to March 2000 (H038003 + H038010) |
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M95_98 |
Renter & Owner Moved in 1995 to 1998 (H038004 + H038011) |
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M90_94 |
Renter & Owner Moved in 1990 to 1994 (H038005 + H038012) |
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M80_89 |
Renter & Owner Moved in 1980 to 1989 (H038006 + H038013) |
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M70_79 |
Renter & Owner Moved in 1970 to 1979 (H038007 + H038014) |
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M69BEFORE |
Renter & Owner Moved in 1969 or earlier (H038008 + H038015) |
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CNT_NAME |
County Name |
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MEDFINCOME |
Median family income in 1999 (P077001) |
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S_TOTAL |
Total all ages (P019002 + P019024 + P019046 ) |
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S_ENGLISH |
Speak only English (P019003 + P019025 + P019047 ) |
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S_SPANISH |
Speak Spanish: (P019004 + P019026 + P019048 ) |
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S_EUROPE |
Speak other Indo-European languages: (P019009 + P019031 + P019053 ) |
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S_ASIAN |
Speak Asian and Pacific Island languages: (P019014 + P019036 + P019058 ) |
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S_OTHER |
Speak other languages: (P019019 + P019041 + P019063 ) |
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S_VERYWELL |
Speak English "very well" (P019005 + P019027 + P019049 + P019010 + P019032 + P019054 + P019015 + P019037 + P019059 + P019020 + P019042 + P019064 ) |
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S_WELL |
Speak English "well" (P019006 + P019028 + P019050 + P019011 + P019033 + P019055 + P019016 + P019038 + P019060 + P019021 + P019043 + P019065 ) |
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S_NOTWELL |
Speak English "not well" (P019007 + P019029 + P019051 + P019012 + P019034 + P019056 + P019017 + P019039 + P019061 + P019022 + P019044 + P019066 ) |
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S_NOTATALL |
Speak English "not at all" (P019008 + P019030 + P019052 + P019013 + P019035 + P019057 + P019018 + P019040 + P019062 + P019023 + P019045 + P019067 ) |
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PCT_NOTWEL |
Percent that speak english "not well" ((s_notwell/s_toal) * 100) |
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PCT_NOTATA |
Percent that speak english "not at all" ((s_notatall/s_total) * 100) |
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POP25 |
Total: Population over 25 (P037001) |
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BACHELORS |
Male and Femal Bachelor's degree (P037015 + P037032) |
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PCT_BACHLR |
Percent over 25 with Bachelor's degree ((bachelors/pop25) * 100) |
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PCT_POV |
Percent below poverty ([below_pov]/[abve_belw] * 100) |
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WITH_DIS |
Civilian noninstitutionalized population 5 years and over that have a disablity. ([P042007] + [P042031] + [P042014] + [P042038] + [P042004] + [P042028] + [P042021] + [P042045] + [P042024] + [P042048]) |
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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]) |
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PCT_DIS |
Percent with disability ([with_dis]/[no_dis] * 100) |
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ACRES |
Acreage of Block Group |
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TOTAL_POP |
TOTAL POPULATION (with built-in error for SF3: use this field when working with this dataset) (P001001) |
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SAMPLE_POP |
UNWEIGHTED SAMPLE COUNT OF THE POPULATION (P002001) |
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POP2000 |
Universe: Total population (P003001) |
|
LOGRECNO |
Census SF3 unique identifier |
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LABOR_E |
Civilians in Labor force that are EMPLOYED (POPULATION 16 YEARS AND OVER) ([P043006] + [P043013] ) |
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LABOR_UE |
Civilians in Labor force that are UNEMPLOYED (POPULATION 16 YEARS AND OVER) ([P043007] + [P043014] ) |
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DEN_NOTWEL |
density of people per acre that speak english "not well" ([s_notwell]/[acres]) |
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DEN_NOATAL |
density of people per acre that speak english "not at all" ([s_notatall]/[acres]) |
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DEN_DIS |
density of people per acre with a dissibility ([with_dis]/[acres]) |
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DEN_WHITE |
density of White population per acre ([WHITE]/[ACRES]) |
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DEN_BLACK |
density of Black or african american population per acre ([BLACK]/[ACRES]) |
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DEN_AMERI |
density of American indian and alaska native population per acre ([AMERI_ES]/[ACRES] ) |
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DEN_ASIAN |
density of Asian population per acre ([ASIAN]/[ACRES]) |
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DEN_HAWN |
density of Native hawaiian and other pacific islander population per acre ([HAWN_PI]/[ACRES]) |
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DEN_OTHER |
density of Some other race population per acre ([OTHER]/[ACRES]) |
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DEN_MULTI |
density of 2 or more races population per acre ([MULT_RACE]/[ACRES]) |
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DEN_HISP |
density of Hispanic or latino population per acre ([HISPANIC]/[ACRES] ) |
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PCT_WHITE |
White percentage of total population (([WHITE] /[total_pop]) *100 ) |
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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) |
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PCT_ASIAN |
Asian percentage of total population (([ASIAN] /[total_pop]) *100) |
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PCT_HAWN |
Native hawaiian and other pacific islander percentage of total population (([HAWN_PI] /[total_pop]) *100 ) |
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PCT_OTHER |
Some other race percentage of total population (([OTHER] /[total_pop]) *100) |
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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]) |
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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. |
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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] |
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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] |
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TRAN_WALK |
Means of transportation to work: walked [P030014] |
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TRAN_OTHER |
Means of transportation to work: other [P030015] |
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TRAN_HOME |
Means of transportation to work: worked at home [P030016] |
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MEDOOHVAL |
Median Value (dollars) for all owner-occupied housing units [H085001] |
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OWN95_00 |
Owner Moved in 1995 to March 2000 ([H038003] + [H038004]) |
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RENT95_00 |
Renter Moved in 1995 to March 2000 ([H038010] + [H038011]) |
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HS_PER_AC |
Housing Units Per Acre ([TOTALHOUSE] / [ACRES]) |
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H_MF |
Multi Family (2 or more units) ([H2UNIT] + [H3_4UNIT] + [H5_9UNIT] + [H10_19UNIT] + [H20_49UNIT] + [H50MORE]) |
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H_SF |
Single Family (1 detached or 1 attached unit - does not include mobile homes) [H1DETACH] + [H1ATTACH] |
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B90_00 |
Built 1990 to March 2000 ([B99_00] + [B95_98] + [B90_94]) |
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PCT_OWN5 |
Percent Owner Moved in 1995 to March 2000 ([Own95_00] / [OWNER] * 100) |
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PCT_RENT5 |
Percent Renter Moved in 1995 to March 2000 ([Rent95_00] / [RENTER] * 100) |
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DESCRIPT |
GeoPlan added field based on Total Population |
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FGDLAQDATE |
Date GeoPlan acquired data from source |
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AUTOID |
Unique ID added by GeoPlan |
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SHAPE.AREA |
Area in meters |
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SHAPE.LEN |
Perimeter in meters |
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. |
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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 |
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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 |
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 |
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