FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION

TITLE: COUNTY BOUNDARIES IN FLORIDA (WITH SELECTED FIELDS FROM THE 2014-2018 AMERICAN COMMUNITY SURVEY)

Geodataset Name:       CNTDEM_ACS_2018
Geodataset Type:       SHAPEFILE
Geodataset Feature:    Polygon
Feature Count:         67
GENERAL DESCRIPTION:
This dataset contains the State of Florida county boundaries with selected fields from the 2014-2018 American Community Survey (ACS). Some of the fields included in this dataset are total population, education, and housing and economic characteristics.
DATA SOURCE(S):                    U.S. Census Bureau
SCALE OF ORIGINAL SOURCE MAPS:     1:100,000
GEODATASET EXTENT:                 State of Florida
PUBLICATION DATE: 201912 TIME PERIOD OF CONTENT: Begin Date: 2014 End Date: 2018 DOWNLOAD LINK: http://www.fgdl.org/metadataexplorer/explorer.jsp

FEATURE ATTRIBUTE TABLES:

Datafile Name: CNTDEM_ACS_2018
ITEM NAME WIDTH TYPE N. DECIMAL DEGREES
FID
4 OID ---
TIGERNAME
100 String ---
NAME
32 String ---
FGDLCODE
32 String ---
FIPS
3 String ---
COASTAL
1 String ---
SHAPE
0 Geometry ---
GEOID10
12 String ---
LOGRECNO
10 Number ---
ACRES
19 Number 8
TOTALPOP
10 Number ---
HOUSEHOLDS
10 Number ---
MALE
10 Number ---
FEMALE
10 Number ---
WHITE
10 Number ---
BLACK
10 Number ---
AMERI_ES
10 Number ---
ASIAN
10 Number ---
HAWN_PI
10 Number ---
OTHER
10 Number ---
MULT_RACE
10 Number ---
HISPANIC
10 Number ---
WHITE_NH
10 Number ---
AVE_HH_SZ
19 Number 8
PH_TOTAL
10 Number ---
PH_FAM
10 Number ---
PH_NONFAM
10 Number ---
FAM_HH
10 Number ---
AVE_FAM_SZ
19 Number 8
AGE_UNDER5
10 Number ---
AGE_5_17
10 Number ---
AGE_18_21
10 Number ---
AGE_22_29
10 Number ---
AGE_30_39
10 Number ---
AGE_40_49
10 Number ---
AGE_50_64
10 Number ---
AGE_65_UP
10 Number ---
AGE_65_74
10 Number ---
AGE_75_84
10 Number ---
AGE_85_UP
10 Number ---
MED_AGE
19 Number 8
HABVBELOW
10 Number ---
HBELOW_POV
10 Number ---
HABOVE_POV
10 Number ---
ABVE_BELW
10 Number ---
ABOVE_POV
10 Number ---
BELOW_POV
10 Number ---
ED_TOTAL
10 Number ---
ED_LESS9TH
10 Number ---
ED_12NODIP
10 Number ---
HSGRAD
10 Number ---
ED_SOMECOL
10 Number ---
ED_COLLEGE
10 Number ---
BACHELORS
10 Number ---
HSE_UNITS
10 Number ---
HS_PER_AC
19 Number 8
VACANT
10 Number ---
TRAN_TOTAL
10 Number ---
TRAN_CAR
10 Number ---
TRAN_MOTO
10 Number ---
TRAN_BIKE
10 Number ---
TRAN_PUB
10 Number ---
TRAN_WALK
10 Number ---
TRAN_OTHER
10 Number ---
TRAN_HOME
10 Number ---
ENROLLED
10 Number ---
NOT_ENROLD
10 Number ---
LESS_10K
10 Number ---
I10K_14K
10 Number ---
I15K_19K
10 Number ---
I20K_24K
10 Number ---
I25K_29K
10 Number ---
I30K_34K
10 Number ---
I35K_39K
10 Number ---
I40K_44K
10 Number ---
I45K_49K
10 Number ---
I50K_59K
10 Number ---
I60K_74K
10 Number ---
I75K_99K
10 Number ---
I100K_124K
10 Number ---
I125K_149K
10 Number ---
I150K_199K
10 Number ---
I200KMORE
10 Number ---
MEDHHINC
10 Number ---
MEDFINCOME
10 Number ---
HH_NOPUBA
10 Number ---
HH_PUBA
10 Number ---
MEDOOHVAL
10 Number ---
H1ATTACH
10 Number ---
H1DETACH
10 Number ---
H2UNIT
10 Number ---
H3_4UNIT
10 Number ---
H5_9UNIT
10 Number ---
H10_19UNIT
10 Number ---
H20_49UNIT
10 Number ---
H50MORE
10 Number ---
MOBILE
10 Number ---
OTHERHOUSE
10 Number ---
H_SF
10 Number ---
H_MF
10 Number ---
OWNER
10 Number ---
RENTER
10 Number ---
OWN_17
10 Number ---
RENT_17
10 Number ---
B14
10 Number ---
B10_13
10 Number ---
B00_09
10 Number ---
B90_99
10 Number ---
B80_89
10 Number ---
B70_79
10 Number ---
B60_69
10 Number ---
B50_59
10 Number ---
B40_49
10 Number ---
BEFORE39
10 Number ---
M17
10 Number ---
M15_16
10 Number ---
M10_14
10 Number ---
M00_09
10 Number ---
M90_99
10 Number ---
M89BEFORE
10 Number ---
MO_17
10 Number ---
MO_15_16
10 Number ---
MO_10_14
10 Number ---
MO_00_09
10 Number ---
MO_90_99
10 Number ---
MO89BEFORE
10 Number ---
MR_17
10 Number ---
MR_15_16
10 Number ---
MR_10_14
10 Number ---
MR_00_09
10 Number ---
MR_90_99
10 Number ---
MR89BEFORE
10 Number ---
MYTOTAL
10 Number ---
MYOWNER
10 Number ---
MYRENTER
10 Number ---
VEHICLE_0
10 Number ---
VEHICLE_1
10 Number ---
VEHICLE_2
10 Number ---
VEHICLE_3
10 Number ---
VEHICLE_4
10 Number ---
VEHICLE5G
10 Number ---
S_TOTAL
10 Number ---
S_VERYWELL
10 Number ---
S_WELL
10 Number ---
S_NOTWELL
10 Number ---
S_NOTATALL
10 Number ---
S_ENGLISH
10 Number ---
S_SPANISH
10 Number ---
S_EUROPE
10 Number ---
S_ASIAN
10 Number ---
S_OTHER
10 Number ---
HL_TOTAL
10 Number ---
HL_ENGLISH
10 Number ---
HL_SPAN_L
10 Number ---
HL_EURO_L
10 Number ---
HL_ASIAN_L
10 Number ---
HL_OTHER_L
10 Number ---
LABOR_CIV
10 Number ---
RTOTAL
10 Number ---
RU50
10 Number ---
R50_99
10 Number ---
R1_124
10 Number ---
R125ABV
10 Number ---
RU1
10 Number ---
DIS_TOTAL
10 Number ---
DIS_2064
10 Number ---
NO_DIS2064
10 Number ---
GMTOT
10 Number ---
GMSAME
10 Number ---
GMDIFF
10 Number ---
GMABROAD
10 Number ---
PCT_NOTWEL
19 Number 8
PCT_NOTATA
19 Number 8
DEN_NOTWEL
19 Number 8
DEN_NOTATA
19 Number 8
PCT_BACHLR
19 Number 8
PCT_POV
19 Number 8
PCT_RU50
19 Number 8
PCT_R50_9
19 Number 8
PCT_R125AB
19 Number 8
PCT_RU1
19 Number 8
DEN_POP
19 Number 8
MINORITY
10 Number ---
DEN_WHITE
19 Number 8
DEN_BLACK
19 Number 8
DEN_AMERI
19 Number 8
DEN_ASIAN
19 Number 8
DEN_HAWN
19 Number 8
DEN_OTHER
19 Number 8
DEN_MULTI
19 Number 8
DEN_HISP
19 Number 8
DEN_DIS20
19 Number 8
PCT_WHITE
19 Number 8
PCT_BLACK
19 Number 8
PCT_AMERI
19 Number 8
PCT_ASIAN
19 Number 8
PCT_HAWN
19 Number 8
PCT_OTHER
19 Number 8
PCT_MULTI
19 Number 8
PCT_HISP
19 Number 8
PCT_DIS20
19 Number 8
DESCRIPT
12 String ---
FGDLAQDATE
8 Date ---
TIGERYEAR
25 String ---
DATAYEAR
25 String ---
AUTOID
10 Number ---
SHAPE_AREA
19 Float 11
SHAPE_LEN
19 Float 11

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item
Item Description
FID Internal feature number.

TIGERNAME County name taken from TIGER data.

NAME County Name

FGDLCODE County Code used by FGDL (coincides with alphabetical order)

FIPS FIPS Code

COASTAL If the county is coastal

SHAPE Feature geometry.

GEOID10 Block identifier; a concatenation of 2010 Census state Federal Information Processing Standards (FIPS) code, county FIPS code, census tract code, census block group code

LOGRECNO Unique ID used to join ACS 2010-2014 data to proper Block Group

ACRES Acres

TOTALPOP Total Population - [B01003_001]

HOUSEHOLDS Total: Households - [B11001_001]

MALE Population Male - [B01001_002]

FEMALE Population Female - [B01001_026]

WHITE Population White alone - [B02001_002]

BLACK Population Black or African American alone - [B02001_003]

AMERI_ES Population American Indian and Alaska Native alone - [B02001_004]

ASIAN Population Asian alone - [B02001_005]

HAWN_PI Population Native Hawaiian and Other Pacific Islander alone - [B02001_006]

OTHER Population Some other race alone - [B02001_007]

MULT_RACE Population Two or more races - [B02001_008]

HISPANIC Population Hispanic or Latino by Race - [B03002_012]

WHITE_NH Not Hispanic or Latino:White alone - [B03002_003]

AVE_HH_SZ Average household size Total: Average Household Size of Occupied Housing Units by Tenure - [B25010_001]

PH_TOTAL Total: Household Type by Relatives and Nonrelatives for Population in Households - [B11002_001]

PH_FAM Population in family households - [B11002_002]

PH_NONFAM Population in nonfamily households - [B11002_012]

FAM_HH Family households - [B11001_002]

AVE_FAM_SZ Average family size (Total Population In family households/Family households) - [PH_FAM]/[FAM_HH]

AGE_UNDER5 Population Under 5 years - [B01001_003] + [B01001_027]

AGE_5_17 Population 5 to 17 years - [B01001_004] + [B01001_028] + [B01001_005] + [B01001_029] + [B01001_006] + [B01001_030]

AGE_18_21 Population 18 to 21 years - [B01001_007] + [B01001_031] + [B01001_008] + [B01001_032] + [B01001_009] + [B01001_033]

AGE_22_29 Population 22 to 29 years - [B01001_010] + [B01001_034] + [B01001_011] + [B01001_035]

AGE_30_39 Population 30 to 39 years - [B01001_012] + [B01001_036] + [B01001_013] + [B01001_037]

AGE_40_49 Population 40 to 49 years - [B01001_014] + [B01001_038] + [B01001_015] + [B01001_039]

AGE_50_64 Population 50 to 64 years - [B01001_016] + [B01001_040] + [B01001_017] + [B01001_041] + [B01001_018] + [B01001_042] + [B01001_019] + [B01001_043]

AGE_65_UP Population 65 and up - [B01001_020] + [B01001_044] + [B01001_021] + [B01001_045] + [B01001_022] + [B01001_046] + [B01001_023] + [B01001_047] + [B01001_024] + [B01001_048] + [B01001_025] + [B01001_049]

AGE_65_74 Population 65 to 74 years - [B01001_020] + [B01001_044] + [B01001_021] + [B01001_045] + [B01001_022] + [B01001_046]

AGE_75_84 Population 75 to 84 years - [B01001_023] + [B01001_047] + [B01001_024] + [B01001_048]

AGE_85_UP Population 85 years and over - [B01001_025] + [B01001_049]

MED_AGE Median age for population - [B01002_001]

HABVBELOW Households Total: households for poverty status in the past 12 months by household type by age of householder - [B17017_001]

HBELOW_POV Households with income in the past 12 months below poverty level - [B17017_002]

HABOVE_POV Households with income in the past 12 months at or above poverty level - [B17017_031]

ABVE_BELW Population Total: Poverty Status of Individuals in the Past 12 Months by Living Arrangement - [B17021_001]

ABOVE_POV Population with income in the past 12 months at or above poverty level - [B17021_019]

BELOW_POV Population with income in the past 12 months below poverty level - [B17021_002]

ED_TOTAL Population Total: Sex by Educational Attainment for the Population 25 Years and over - [B15002_001]

ED_LESS9TH Educational Attainment for the Population 25 Years and over No schooling completed, Nursery to 4th grade, 5th and 6th grade, 7th and 8th grade - [B15002_003] + [B15002_020] + [B15002_004] + [B15002_021] + [B15002_005] + [B15002_022] + [B15002_006] + [B15002_023]

ED_12NODIP Educational Attainment for the Population 25 Years and over 9th grade, 10th grade, 11th grade, 12th grade, no diploma - [B15002_007] + [B15002_024] + [B15002_008] + [B15002_025] + [B15002_009] + [B15002_026] + [B15002_010] + [B15002_027]

HSGRAD Educational Attainment for the Population 25 Years and over High school graduate, GED (includes equivalency) - [B15002_011] + [B15002_028] + [B15002_012] + [B15002_029] + [B15002_013] + [B15002_030] + [B15002_014] + [B15002_031] + [B15002_015] + [B15002_032] + [B15002_016] + [B15002_033] + [B15002_017] + [B15002_034] + [B15002_018] + [B15002_035]

ED_SOMECOL Educational Attainment for the Population 25 Years and over Some college - less than 1 year, Some college - 1 or more years no degree, Associate's degree - [B15002_012] + [B15002_029] + [B15002_013] + [B15002_030] + [B15002_014] + [B15002_031]

ED_COLLEGE Educational Attainment for the Population 25 Years and over Bachelor's degree, Master's degree, Professional school degree, Doctorate degree - [B15002_015] + [B15002_032] + [B15002_016] + [B15002_033] + [B15002_017] + [B15002_034] + [B15002_018] + [B15002_035]

BACHELORS Educational Attainment for the Population 25 Years and over Bachelor's degree only - [B15002_015] + [B15002_032]

HSE_UNITS Total Housing Units - [B25001_001]

HS_PER_AC Housing units per acre - [HSE_UNITS]/[ACRES]

VACANT Total Vacant housing units - [B25004_001]

TRAN_TOTAL Means of Transportation to Work Total, workers 16 years and over - [B08301_001]

TRAN_CAR Means of Transportation to Work Car, truck, or van - [B08301_002]

TRAN_MOTO Means of Transportation to Work Motorcycle - [B08301_017]

TRAN_BIKE Means of Transportation to Work Bicycle - [B08301_018]

TRAN_PUB Means of Transportation to Work Public transportation (excluding taxicab) - [B08301_010]

TRAN_WALK Means of Transportation to Work Walked - [B08301_019]

TRAN_OTHER Means of Transportation to Work Other means - [B08301_020]

TRAN_HOME Means of Transportation to Work Worked at home - [B08301_021]

ENROLLED Population 3 Years And Over Enrolled In School - [B14002_003] + [B14002_027]

NOT_ENROLD Population 3 Years And Over Not enrolled in school - [B14002_025] + [B14002_049]

LESS_10K Number of Households with Household Income in The Past 12 Months Less than $10,000 (in 2018 Inflation-Adjusted Dollars) - [B19001_002]

I10K_14K Number of Households with Household Income in The Past 12 Months $10,000 to $14,999 (in 2018 Inflation-Adjusted Dollars) - [B19001_003]

I15K_19K Number of Households with Household Income in The Past 12 Months $15,000 to $19,999 (in 2018 Inflation-Adjusted Dollars) - [B19001_004]

I20K_24K Number of Households with Household Income in The Past 12 Months $20,000 to $24,999 (in 2018 Inflation-Adjusted Dollars) - [B19001_005]

I25K_29K Number of Households with Household Income in The Past 12 Months $25,000 to $29,999 (in 2018 Inflation-Adjusted Dollars) - [B19001_006]

I30K_34K Number of Households with Household Income in The Past 12 Months $30,000 to $34,999 (in 2018 Inflation-Adjusted Dollars) - [B19001_007]

I35K_39K Number of Households with Household Income in The Past 12 Months $35,000 to $39,999 (in 2018 Inflation-Adjusted Dollars) - [B19001_008]

I40K_44K Number of Households with Household Income in The Past 12 Months $40,000 to $44,999 (in 2018 Inflation-Adjusted Dollars) - [B19001_009]

I45K_49K Number of Households with Household Income in The Past 12 Months $45,000 to $49,999 (in 2018 Inflation-Adjusted Dollars) - [B19001_010]

I50K_59K Number of Households with Household Income in The Past 12 Months $50,000 to $59,999 (in 2018 Inflation-Adjusted Dollars) - [B19001_011]

I60K_74K Number of Households with Household Income in The Past 12 Months $60,000 to $74,999 (in 2018 Inflation-Adjusted Dollars) - [B19001_012]

I75K_99K Number of Households with Household Income in The Past 12 Months $75,000 to $99,999 (in 2018 Inflation-Adjusted Dollars) - [B19001_013]

I100K_124K Number of Households with Household Income in The Past 12 Months $100,000 to $124,999 (in 2018 Inflation-Adjusted Dollars) - [B19001_014]

I125K_149K Number of Households with Household Income in The Past 12 Months $125,000 to $149,999 (in 2018 Inflation-Adjusted Dollars) - [B19001_015]

I150K_199K Number of Households with Household Income in The Past 12 Months $150,000 to $199,999 (in 2018 Inflation-Adjusted Dollars) - [B19001_016]

I200KMORE Number of Households with Household Income in The Past 12 Months $200,000 or more (in 2018 Inflation-Adjusted Dollars) - [B19001_017]

MEDHHINC Median household income in the past 12 months (in 2018 inflation-adjusted dollars) - [B19013_001]

MEDFINCOME Median family income in the past 12 months (in 2018 inflation-adjusted dollars) - [B19113_001]

HH_NOPUBA Households with No public assistance income - [B19057_003]

HH_PUBA Households with public assistance income - [B19057_002]

MEDOOHVAL Median value (dollars) Owner-occupied housing units - [B25077_001]

H1ATTACH Housing Units in Structure 1, attached - [B25024_003]

H1DETACH Housing Units in Structure 1, detached - [B25024_002]

H2UNIT Housing Units in Structure 2 - [B25024_004]

H3_4UNIT Housing Units in Structure 3 or 4 - [B25024_005]

H5_9UNIT Housing Units in Structure 5 to 9 - [B25024_006]

H10_19UNIT Housing Units in Structure 10 to 19 - [B25024_007]

H20_49UNIT Housing Units in Structure 20 to 49 - [B25024_008]

H50MORE Housing Units in Structure 50 or more - [B25024_009]

MOBILE Housing Units in Structure Mobile home - [B25024_010]

OTHERHOUSE Housing Units in Structure Boat, RV, van, etc. - [B25024_011]

H_SF Single Family - [H1ATTACH]+ [H1DETACH]

H_MF Mulit Family - [H2UNIT] + [H3_4UNIT] + [H5_9UNIT] + [H10_19UNIT] + [H20_49UNIT] + [H50MORE]

OWNER Owner occupied housing units - [B25038_002]

RENTER Renter occupied housing units - [B25038_009]

OWN_17 Owner occupied housing units Moved in 2017 or later - [B25038_003]

RENT_17 Renter occupied housing units Moved in 2017 or later - [B25038_010]

B14 Housing Units Built 2014 or later - [B25034_002]

B10_13 Housing Units Built 2010 to 2013 - [B25034_003]

B00_09 Housing Units Built 2000 to 2009 - [B25034_004]

B90_99 Housing Units Built 1990 to 1999 - [B25034_005]

B80_89 Housing Units Built 1980 to 1989 - [B25034_006]

B70_79 Housing Units Built 1970 to 1979 - [B25034_007]

B60_69 Housing Units Built 1960 to 1969 - [B25034_008]

B50_59 Housing Units Built 1950 to 1959 - [B25034_009]

B40_49 Housing Units Built 1940 to 1949 - [B25034_010]

BEFORE39 Housing Units Built 1939 or earlier - [B25034_011]

M17 Occupied housing units moved in 2017 or later - [B25038_003] + [B25038_010]

M15_16 Occupied housing units Moved in 2015 to 2016 - [B25038_004] + [B25038_011]

M10_14 Occupied housing units Moved in 2010 to 2014 - [B25038_005] + [B25038_012]

M00_09 Occupied housing units Moved in 2000 to 2009 - [B25038_006] + [B25038_013]

M90_99 Occupied housing units Moved in 1990 to 1999 - [B25038_007] + [B25038_014]

M89BEFORE Occupied housing units Moved in 1989 or earlier - [B25038_008] + [B25038_015]

MO_17 Owner Occupied housing units moved in 2017 or later - [B25038_003]

MO_15_16 Owner Occupied housing units Moved in 2015 to 2016 - [B25038_004]

MO_10_14 Owner Occupied housing units Moved in 2010 to 2014 - [B25038_005]

MO_00_09 Owner Occupied housing units Moved in 2000 to 2009 - [B25038_006]

MO_90_99 Owner Occupied housing units Moved in 1990 to 1999 - [B25038_007]

MO89BEFORE Owner Occupied housing units Moved in 1989 or earlier - [B25038_008]

MR_17 Renter Occupied housing units moved in 2017 or later - [B25038_010]

MR_15_16 Renter Occupied housing units Moved in 2015 to 2016 - [B25038_011]

MR_10_14 Renter Occupied housing units Moved in 2010 to 2014 - [B25038_012]

MR_00_09 Renter Occupied housing units Moved in 2000 to 2009 - [B25038_013]

MR_90_99 Renter Occupied housing units Moved in 1990 to 1999 - [B25038_014]

MR89BEFORE Renter Occupied housing units Moved in 1989 or earlier - [B25038_015]

MYTOTAL Median year householder moved into unit - Occupied Housing Units Total - [B25039_001]

MYOWNER Median year householder moved into unit - Occupied Housing Units Owner - [B25039_002]

MYRENTER Median year householder moved into unit - Occupied Housing Units Renter - [B25039_003]

VEHICLE_0 Occupied Housing Units with No vehicle available - [B25044_003] + [B25044_010]

VEHICLE_1 Occupied Housing Units with 1 vehicle available - [B25044_004] + [B25044_011]

VEHICLE_2 Occupied Housing Units with 2 vehicles available - [B25044_005] + [B25044_012]

VEHICLE_3 Occupied Housing Units with 3 vehicles available - [B25044_006] + [B25044_013]

VEHICLE_4 Occupied Housing Units with 4 vehicles available - [B25044_007] + [B25044_014]

VEHICLE5G Occupied Housing Units with 5 or more vehicles available - [B25044_008] + [B25044_015]

S_TOTAL Ability to Speak English for the Population 5+ Yrs Total - [B16004_001]

S_VERYWELL Ability to Speak English for the Population 5+ Yrs Speak English 'very well' - [B16004_005] + [B16004_010] + [B16004_015] + [B16004_020] + [B16004_027] + [B16004_032] + [B16004_037] + [B16004_042] + [B16004_049] + [B16004_054] + [B16004_059] + [B16004_064]

S_WELL Ability to Speak English for the Population 5+ Yrs Speak English 'well' - [B16004_006] + [B16004_011] + [B16004_016] + [B16004_021] + [B16004_028] + [B16004_033] + [B16004_038] + [B16004_043] + [B16004_050] + [B16004_055] + [B16004_060] + [B16004_065]

S_NOTWELL Ability to Speak English for the Population 5+ Yrs Speak English 'not well' - [B16004_007] + [B16004_012] + [B16004_017] + [B16004_022] + [B16004_029] + [B16004_034] + [B16004_039] + [B16004_044] + [B16004_051] + [B16004_056] + [B16004_061] + [B16004_066]

S_NOTATALL Ability to Speak English for the Population 5+ Yrs Speak English 'not at all' - [B16004_008] + [B16004_013] + [B16004_018] + [B16004_023] + [B16004_030] + [B16004_035] + [B16004_040] + [B16004_045] + [B16004_052] + [B16004_057] + [B16004_062] + [B16004_067]

S_ENGLISH Ability to Speak English for the Population 5+ Yrs Speak only English - [B16004_003] + [B16004_025] + [B16004_047]

S_SPANISH Ability to Speak English for the Population 5+ Yrs Speak Spanish - [B16004_004] + [B16004_026] + [B16004_048]

S_EUROPE Ability to Speak English for the Population 5+ Yrs Speak other Indo-European languages - [B16004_009] + [B16004_031] + [B16004_053]

S_ASIAN Ability to Speak English for the Population 5+ Yrs Speak Asian and Pacific Island languages - [B16004_014] + [B16004_036] + [B16004_058]

S_OTHER Ability to Speak English for the Population 5+ Yrs Speak other languages - [B16004_019] + [B16004_041] + [B16004_063]

HL_TOTAL Total Households by Household Language by Household Limited English Speaking Status - [C16002_001]

HL_ENGLISH Households that speak English. This includes households that are English only, or that speak other languages but are not a limited English speaking household. - [C16002_002] + [C16002_005]+ [C16002_008]+ [C16002_011]+ [C16002_014]

HL_SPAN_L Households that speak Spanish: Limited English speaking household - [C16002_004]

HL_EURO_L Households that speak Other Indo-European languages: Limited English speaking household - [C16002_007]

HL_ASIAN_L Households that speak Asian and Pacific Island languages: Limited English speaking household - [C16002_010]

HL_OTHER_L Households that speak Other languages: Limited English speaking household - [C16002_013]

LABOR_CIV Civilian Employed Population 16 Years And Over Total - [C24010_001]

RTOTAL Ratio of Income to Poverty Level in the Past 12 Months. Total population for whom Poverty Status is Determined - [C17002_001]

RU50 Ratio of Income to Poverty Level in the Past 12 Months Under .50 - [C17002_002]

R50_99 Ratio of Income to Poverty Level in the Past 12 Months .50 to .99 - [C17002_003]

R1_124 Ratio of Income to Poverty Level in the Past 12 Months 1.00 to 1.24 - [C17002_004]

R125ABV Ratio of Income to Poverty Level in the Past 12 Months 1.25 and over - [C17002_005] + [C17002_006] + [C17002_007] + [C17002_008]

RU1 Ratio of Income to Poverty Level in the Past 12 Months under 1 - [RU50] + [R50_99]

DIS_TOTAL Population by Poverty Status in the Past 12 Months by Disability Status by Employment Status for the Population 20 to 64 Years Total - [B23024_001]

DIS_2064 Population 20 to 64 Years with Income in the past 12 months below and above poverty level with a disability - [B23024_003] + [B23024_018]

NO_DIS2064 Population 20 to 64 Years with Income in the past 12 months below and above poverty level with No disability - [B23024_010] + [B23024_025]

GMTOT Geographical Mobility in the Past Year for Current Residence Population 1 Year And Over Living in and out of Metropolitan Statistical Areas or Micropolitan Statistical Areas In The United States: Total - [B07201_001] + [B07202_001] + [B07203_001]

GMSAME Geographical Mobility in the Past Year for Current Residence Population 1 Year And Over Living in and out of Metropolitan Statistical Areas or Micropolitan Statistical Areas In The United States: Same house 1 year ago - [B07201_002] + [B07202_002] + [B07203_002]

GMDIFF Geographical Mobility in the Past Year for Current Residence Population 1 Year And Over Living in and out of Metropolitan Statistical Areas or Micropolitan Statistical Areas In The United States: Different house in United States 1 year ago - [B07201_003] + [B07202_003] + [B07203_003]

GMABROAD Geographical Mobility in the Past Year for Current Residence Population 1 Year And Over Living in and out of Metropolitan Statistical Areas or Micropolitan Statistical Areas In The United States: Abroad 1 year ago - [B07201_014] + [B07202_014] + [B07203_011]

PCT_NOTWEL Percent Ability to Speak English for the Population 5+ Yrs Speak English 'not well' - ([S_NOTWELL]/[S_TOTAL] * 100)

PCT_NOTATA Percent Ability to Speak English for the Population 5+ Yrs Speak English 'not at all' - ([S_NOTATALL]/[S_TOTAL] * 100)

DEN_NOTWEL No description

DEN_NOTATA No description

PCT_BACHLR Percent Educational Attainment for the Population 25 Years and over Bachelor's degree only - ([BACHELORS]/[TOTALPOP] * 100)

PCT_POV Percent Population with income in the past 12 months below poverty level - ([BELOW_POV]/[ABVE_BELW] * 100)

PCT_RU50 Percent Ratio of Income to Poverty Level in the Past 12 Months Under .50 - ([RU50]/[RTOTAL] * 100)

PCT_R50_9 RPercent atio of Income to Poverty Level in the Past 12 Months .50 to .99 - ([R50_99]/[RTOTAL] * 100)

PCT_R125AB Percent Ratio of Income to Poverty Level in the Past 12 Months 1.25 and over - ([R125ABV]/[RTOTAL] * 100)

PCT_RU1 Percent Ratio of Income to Poverty Level in the Past 12 Months under 1 - ([RU1]/[RTOTAL] * 100)

DEN_POP Population per acre - [TOTALPOP]/[ACRES]

MINORITY "Minority Population" is the population that lists their racial status as a race other than white alone and-or lists their ethnicity as Hispanic or Latino. That is, all people other than non-Hispanic white-alone individuals. The word "alone" in this case indicates that the person is of a single race, not multiracial - [TOTALPOP] - [WHITE_NH] - [TOTALPOP] - [WHITE_NH]

DEN_WHITE No description

DEN_BLACK No description

DEN_AMERI No description

DEN_ASIAN No description

DEN_HAWN No description

DEN_OTHER No description

DEN_MULTI No description

DEN_HISP No description

DEN_DIS20 No description

PCT_WHITE Percent of Persons White alone - ([WHITE] /[TOTALPOP] *100)

PCT_BLACK Percent of Persons Black or African American alone - ([BLACK] /[TOTALPOP] *100)

PCT_AMERI Percent of Persons American Indian and Alaska Native alone - ([AMERI_ES] /[TOTALPOP] *100)

PCT_ASIAN Percent of Persons Asian alone - ([ASIAN] /[TOTALPOP] *100)

PCT_HAWN Percent of Persons Native Hawaiian and Other Pacific Islander alone - ([HAWN_PI] /[TOTALPOP] *100)

PCT_OTHER Percent of Persons Some other race alone - ([OTHER] /[TOTALPOP] *100)

PCT_MULTI Percent of Persons Two or more races - ([MULT_RACE] /[TOTALPOP] *100)

PCT_HISP Percent of Persons Hispanic or Latino - ([HISPANIC] /[TOTALPOP] *100)

PCT_DIS20 Percent Population 20 To 64 Years With a disability - ([DIS_2064]/[DIS_TOTAL] * 100)

DESCRIPT GeoPlan added field based on GEOID10

FGDLAQDATE Date ACS data was downloaded from U.S. Census Bureau

TIGERYEAR Source date for Tiger data (spatial portion of this layer)

DATAYEAR Source Date of ACS data

AUTOID Unique added by GeoPlan

SHAPE_AREA Area of feature in internal units squared.

SHAPE_LEN Length


USER NOTES:
This data is provided 'as is'. GeoPlan relied on the integrity
of the original data layer's topology
This data is provided 'as is' by GeoPlan and is complete to our
knowledge.
GeoPlan relied on the integrity of the attribute information within
the original data.

A variety of planning purposes.

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

NONE

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:
2012-2016 ACS Summary File Tech Document: 
https://www2.census.gov/programs-surveys/acs/summary_file/2016/documentation/tech_docs/2016_SummaryFile_Tech_Doc.pdf

DATA LINEAGE SUMMARY:
The FGDL layer CNTBND_SEP15 represents the spatial portion of this data.

The American Community Survey data was downloaded 
from the Census Bureau in .csv format from:
https://www2.census.gov/programs-surveys/acs/summary_file/2017/data/5_year_by_state/
date downloaded: 1/8/20


A variety of GIS techniques including python scripting were used to parse, 
aggregate, and join the tabular demographic data to the spatial data. The result is a 
feature class with logically named fields that are made up of one or more census 
fields.
Process Date: 20200128

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. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch
U.S. Census Bureau
4600 Silver Hill Road, Stop 7400
Washington, DC
20233-7400
301-763-1128

www.census.gov 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