FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION TITLE: Smart Location Database of Census Block Groups in the State of Florida - 2013 Geodataset Name: EPA_SLD_JUL13 Geodataset Type: SHAPEFILE Geodataset Feature: Polygon Feature Count: 11442 |
|
GENERAL DESCRIPTION:
|
|
DATA SOURCE(S): U.S. Environmental Protection Agency SCALE OF ORIGINAL SOURCE MAPS: NA GEODATASET EXTENT: State of Florida |
FEATURE ATTRIBUTE TABLES:
Datafile Name: EPA_SLD_JUL13.DBF
ITEM NAME | WIDTH | TYPE |
OBJECTID
|
4 | OID |
Shape
|
4 | Geometry |
GEOID10
|
12 | String |
SFIPS
|
254 | String |
CFIPS
|
254 | String |
TRFIPS
|
254 | String |
CSA
|
254 | String |
CSA_Name
|
254 | String |
CBSA
|
8 | Double |
CBSA_Name
|
254 | String |
CBSA_EMP
|
8 | Double |
CBSA_POP
|
8 | Double |
CBSA_WRK
|
8 | Double |
COUNTHU10
|
8 | Double |
TOTPOP10
|
8 | Double |
HH
|
8 | Double |
P_WrkAge
|
8 | Double |
AutoOwn0
|
8 | Double |
Pct_AO0
|
8 | Double |
AutoOwn1
|
8 | Double |
Pct_AO1
|
8 | Double |
AutoOwn2p
|
8 | Double |
Pct_AO2p
|
8 | Double |
Workers
|
8 | Double |
R_LOWWAGEW
|
8 | Double |
R_MEDWAGEW
|
8 | Double |
R_HiWageWk
|
8 | Double |
R_PCTLOWWA
|
8 | Double |
EMPTOT
|
8 | Double |
E5_Ret10
|
8 | Double |
E5_Off10
|
8 | Double |
E5_Ind10
|
8 | Double |
E5_Svc10
|
8 | Double |
E5_Ent10
|
8 | Double |
E8_Ret10
|
8 | Double |
E8_Off10
|
8 | Double |
E8_Ind10
|
8 | Double |
E8_Svc10
|
8 | Double |
E8_Ent10
|
8 | Double |
E8_Ed10
|
8 | Double |
E8_Hlth10
|
8 | Double |
E8_Pub10
|
8 | Double |
E_FEDT10
|
8 | Double |
E_FEDRET10
|
8 | Double |
E_FEDOFF10
|
8 | Double |
E_FEDIND10
|
8 | Double |
E_FEDSVC10
|
8 | Double |
E_FEDENT10
|
8 | Double |
E_LOWWAGEW
|
8 | Double |
E_MEDWAGEW
|
8 | Double |
E_HiWageWk
|
8 | Double |
E_PCTLOWWA
|
8 | Double |
Ac_tot
|
8 | Double |
AC_WATER
|
8 | Double |
Ac_Unpr
|
8 | Double |
Ac_Land
|
8 | Double |
D1a
|
8 | Double |
D1b
|
8 | Double |
D1c
|
8 | Double |
D1C5_Ret10
|
8 | Double |
D1c5_Off10
|
8 | Double |
D1C5_Ind10
|
8 | Double |
D1c8_Off10
|
8 | Double |
D1C5_Ent10
|
8 | Double |
D1C8_Ret10
|
8 | Double |
D1c5_Svc10
|
8 | Double |
D1C8_Ind10
|
8 | Double |
D1c8_Svc10
|
8 | Double |
D1C8_Ent10
|
8 | Double |
D1c8_Ed10
|
8 | Double |
D1C8_Hlth1
|
8 | Double |
D1c8_Pub10
|
8 | Double |
D1d
|
8 | Double |
D1_flag
|
2 | SmallInteger |
D2a_JpHH
|
8 | Double |
D2b_E5Mix
|
8 | Double |
D2B_E5MIXA
|
8 | Double |
D2b_E8Mix
|
8 | Double |
D2b_E8MixA
|
8 | Double |
D2a_EpHHm
|
8 | Double |
D2c_TrpMx1
|
8 | Double |
D2c_TrpMx2
|
8 | Double |
D2c_TripEq
|
8 | Double |
D2r_JobPop
|
8 | Double |
D2a_WrkEmp
|
8 | Double |
D2r_WrkEmp
|
8 | Double |
D2c_WrEmix
|
8 | Double |
D3a
|
8 | Double |
D3aao
|
8 | Double |
D3amm
|
8 | Double |
D3apo
|
8 | Double |
D3b
|
8 | Double |
D3bao
|
8 | Double |
D3bmm3
|
8 | Double |
D3bmm4
|
8 | Double |
D3bpo3
|
8 | Double |
D3bpo4
|
8 | Double |
D4a
|
8 | Double |
D4b025
|
8 | Double |
D4b050
|
8 | Double |
D4c
|
8 | Double |
D4d
|
8 | Double |
D5ar
|
8 | Double |
D5ae
|
8 | Double |
D5br
|
8 | Double |
D5br_Flag
|
4 | Integer |
D5be
|
8 | Double |
D5be_Flag
|
4 | Integer |
D5cr
|
8 | Double |
D5cri
|
8 | Double |
D5ce
|
8 | Double |
D5cei
|
8 | Double |
D5dr
|
8 | Double |
D5dri
|
8 | Double |
D5de
|
8 | Double |
D5dei
|
8 | Double |
DESCRIPT
|
15 | String |
FGDLAQDATE
|
36 | Date |
AUTOID
|
4 | Integer |
SHAPE.AREA
|
0 | Double |
SHAPE.LEN
|
0 | Double |
FEATURE ATTRIBUTE TABLES CODES AND VALUES:
Item | Item Description | |
OBJECTID |
Internal feature number. |
|
Shape |
Feature geometry. |
|
GEOID10 |
Unique 12-digit block group identification string (FIPS code) |
|
SFIPS |
State 2-digit FIPS code |
|
CFIPS |
County 3-digit FIPS code |
|
TRFIPS |
Census tract FIPS code in which CBG resides |
|
CSA |
FIPS for Combined Statistical Area in which CBG resides |
|
CSA_Name |
Name of CSA in which CBG resides |
|
CBSA |
FIPS for core based statistical area (CBSA) in which CBG resides |
|
CBSA_Name |
Name of CBSA in which CBG resides |
|
CBSA_EMP |
Total employment in CBSA |
|
CBSA_POP |
Total population in CBSA |
|
CBSA_WRK |
Total number of workers that live in CBSA |
|
COUNTHU10 |
Housing units, 2010 |
|
TOTPOP10 |
Population, 2010 |
|
HH |
Households (occupied housing units), 2010 |
|
P_WrkAge |
Percent of population that is working-aged, 2010 |
|
AutoOwn0 |
Numer of households in CBG that own zero automobiles, 2010 |
|
Pct_AO0 |
Percent of households with zero automobiles, 2010. |
|
AutoOwn1 |
Number of households in CBG that own one automobile, 2010. |
|
Pct_AO1 |
Percentage of households with one automobile, 2010 |
|
AutoOwn2p |
Number of households that own 2 or more automobiles, 2010 |
|
Pct_AO2p |
Percentage of of households with 2 or more automobiles, 2010 |
|
Workers |
Number of workers in CBG (home location), 2010 |
|
R_LOWWAGEW |
Number of workers earning $1250/month or less (home location), 2010 |
|
R_MEDWAGEW |
Number of workers earning more than $1250/month but less than $3333/month (home location), 2010 |
|
R_HiWageWk |
Number of workers earning greater than $3333/month (home location), 2010 |
|
R_PCTLOWWA |
Percent of LowWageWk of total number workers in a CBG (home location), 2010 |
|
EMPTOT |
Total employment, 2010 |
|
E5_Ret10 |
Retail jobs within a 5-tier employment classification scheme (LEHD: CNS07) |
|
E5_Off10 |
Office jobs within a 5-tier employment classification scheme (LEHD: CNS09 + CNS10 + CNS11 + CNS13 + CNS20) |
|
E5_Ind10 |
Industrial jobs within a 5-tier employment classification scheme (LEHD: CNS01 + CNS02 + CNS03 + CNS04 + CNS05 + CNS06 + CNS08) |
|
E5_Svc10 |
Service jobs within a 5-tier employment classification scheme (LEHD: CNS12 + CNS14 + CNS15 + CNS16 + CNS19) |
|
E5_Ent10 |
Entertainment jobs within a 5-tier employment classification scheme (LEHD: CNS17 + CNS18) |
|
E8_Ret10 |
Retail jobs within a 8-tier employment classification scheme (LEHD: CNS07) |
|
E8_Off10 |
Office jobs within a 8-tier employment classification scheme (LEHD: CNS09 + CNS10 + CNS11 + CNS13) |
|
E8_Ind10 |
Industrial jobs within a 8-tier employment classification scheme (LEHD: CNS01 + CNS02 + CNS03 + CNS04 + CNS05 + CNS06 + CNS08) |
|
E8_Svc10 |
Service jobs within a 8-tier employment classification scheme (LEHD: CNS12 + CNS14 + CNS19) |
|
E8_Ent10 |
Entertainment jobs within a 8-tier employment classification scheme (LEHD: CNS17 + CNS18) |
|
E8_Ed10 |
Education jobs within a 8-tier employment classification scheme (LEHD: CNS15) |
|
E8_Hlth10 |
Health care jobs within a 8-tier employment classification scheme (LEHD: CNS16) |
|
E8_Pub10 |
Public administration jobs within a 8-tier employment classification scheme (LEHD: CNS20) |
|
E_FEDT10 |
Federal employment (total). |
|
E_FEDRET10 |
Federal retail employment |
|
E_FEDOFF10 |
Federal office employment |
|
E_FEDIND10 |
Federal Industrial Employment |
|
E_FEDSVC10 |
Federal Service Employment |
|
E_FEDENT10 |
Federal Entertainment Employment |
|
E_LOWWAGEW |
Number of workers earning $1250/month or less (work location), 2010 |
|
E_MEDWAGEW |
Number of workers earning more than $1250/month but less than $3333/month (work location), 2010 |
|
E_HiWageWk |
Number of workers earning greater than $3333/month (work location), 2010 |
|
E_PCTLOWWA |
Percent of LowWageWk of total number workers in a CBG (work location), 2010 |
|
Ac_tot |
Total geometric area of the CBG (in acres) |
|
AC_WATER |
Total water area in acres |
|
Ac_Unpr |
Acres of land area that is not protected from development (i.e., not a park or conservation area) |
|
Ac_Land |
Block group area that is land (in acres) |
|
D1a |
Gross residential density (HU/acre) on unprotected land, 2010 |
|
D1b |
Gross population density (people/acre) on unprocted land, 2010 |
|
D1c |
Gross employment density (jobs/acre) on unprotected land, 2010 |
|
D1C5_Ret10 |
Gross retail (5-tier) employment density (jobs/acre) on unprotected land |
|
D1c5_Off10 |
Gross office (5-tier) employment density (jobs/acre) on unprotected land, 2010 |
|
D1C5_Ind10 |
Gross industrial (5-tier) employment density (jobs/acre) on unprotected land |
|
D1c8_Off10 |
Gross office (8-tier) employment density (jobs/acre) on unprotected land, 2010 |
|
D1C5_Ent10 |
Gross entertainment (5-tier) employment density (jobs/acre) on unprotected land |
|
D1C8_Ret10 |
Gross retail (8-tier) employment density (jobs/acre) on unprotected land |
|
D1c5_Svc10 |
Gross service (5-tier) employment density (jobs/acre) on unprotected land, 2010 |
|
D1C8_Ind10 |
Gross industrial (8-tier) employment density (jobs/acre) on unprotected land |
|
D1c8_Svc10 |
Gross service (8-tier) employment density (jobs/acre) on unprotected land, 2010 |
|
D1C8_Ent10 |
Gross entertainment (8-tier) employment density (jobs/acre) on unprotected land |
|
D1c8_Ed10 |
Gross education (8-tier) employment density (jobs/acre) on unprotected land, 2010 |
|
D1C8_Hlth1 |
Gross health care (8-tier) employment density (jobs/acre) on unprotected land |
|
D1c8_Pub10 |
Gross public sector (8-tier) employment density (jobs/acre) on unprotected land, 2010 |
|
D1d |
Gross activity density (HU + employment / acre) on unprotected land, 2010 |
|
D1_flag |
Flag to indicate D1 density metrics use land area rather than unprotected land area in denominator. |
|
D2a_JpHH |
Jobs per housing unit |
|
D2b_E5Mix |
5-tier employment entropy |
|
D2B_E5MIXA |
5-tier employment entropy (denominator set to the static 5 employment types in the CBG) |
|
D2b_E8Mix |
8-tier employment entropy |
|
D2b_E8MixA |
8-tier employment entropy, denominator set to the static 8 eployment types in the CBG |
|
D2a_EpHHm |
5-tier employment and household entropy |
|
D2c_TrpMx1 |
5-tier employment and household entropy, based on vehicle trip production and trip attractions |
|
D2c_TrpMx2 |
Employment and household entropy (excluding industrial jobs), based on trip production and attraction |
|
D2c_TripEq |
Trip production and trip attractions equilibrium index (closer to 1 = more balance) |
|
D2r_JobPop |
Deviation of CBG jobs/population ratio from regional average jobs/pop ratio |
|
D2a_WrkEmp |
Household workers per job |
|
D2r_WrkEmp |
Deviation of CBG ratio of household workers/job from regional average ratio of household workers/ob |
|
D2c_WrEmix |
Household worker per job equilibrium index (closer to one = more balanced) |
|
D3a |
Total road network density (facility-miles per square mile) |
|
D3aao |
Road network density in terms of facility miles of auto-oriented links per square mile |
|
D3amm |
Road network density in terms of facility miles of multi-model links per square mile |
|
D3apo |
Street network density in terms of facility miles of pedestrian oriented links per square mile |
|
D3b |
Weighted intersection density per square mile (auto-oriented intersections excluded) |
|
D3bao |
Intersection density in terms of auto-oriented intersections per square mile |
|
D3bmm3 |
Intersection density in terms of multi-model intersections having three legs per square mile |
|
D3bmm4 |
Intersection density in terms of multi-model intersections having four or more legs per square mile |
|
D3bpo3 |
Intersection density in terms of pedestrian-oriented intersections having three legs per square mile |
|
D3bpo4 |
Intersection density in terms of pedestrian-oriented intersections having four or more legs per square mile |
|
D4a |
Distance from population weighted centroid to nearest transit stop, meters |
|
D4b025 |
Proportion of CBG employment within 1/4 mile of fixed guideway transit stop |
|
D4b050 |
Proportion of CBG employment within 1/2 mile of fixed guideway transit stop |
|
D4c |
Aggregate frequency of transit service within 0.25 miles of block group boundary per hour during evening peak period |
|
D4d |
Peak pm transit departure within 0.25 miles of CBG, per square mile |
|
D5ar |
Jobs within a 45 minute drive (weighted) |
|
D5ae |
Working-age population within 45 min. drive (weighted) |
|
D5br |
Jobs within 45 min. transit commute (weighted) |
|
D5br_Flag |
Transit accessibility score reflects reverse accessibility to account for direction transit service. |
|
D5be |
Working-age population within 45 min. transit commute (weighted) |
|
D5be_Flag |
Transit accessibility score reflects reverse accessibility to account for direction transit service |
|
D5cr |
Job accessibility (D5ar) as proportion of total regional job accessibility |
|
D5cri |
Regional centrality index (auto) - D5cr divided by max D5cr in metro region (CBSA) |
|
D5ce |
Accessibility to working-age populatin (D5ae) as proportion of total regional accessibility |
|
D5cei |
Regional centrality index (auto) - D5ce divided by max D5ce in metro region (CBSA) |
|
D5dr |
Job accessibility by transit (D5br) as proportion of total regional job accessibility by transit |
|
D5dri |
Regional centrality index (transit) - D5dr divided by max D5dr in metro region (CBSA) |
|
D5de |
Accessibility to working-age populatin by transit (D5be) as proportion of total regional accessibility |
|
D5dei |
Regional centrality index (transit) - D5de divided by max D5de in metro region (CBSA) |
|
DESCRIPT |
Based on field GEOID10. |
|
FGDLAQDATE |
The date FGDL acquired the data from the Source. |
|
AUTOID |
Unique ID added by GeoPlan |
|
SHAPE.AREA |
Area in meters |
|
SHAPE.LEN |
Perimeter in meters |
Attribute descriptions and data sources available in the SLD Guidebook. https://edg.epa.gov/data/Public/OP/SLD/SLD_UserGuide.pdf |
Attribute value ranges were tested for validity. See report for full discussion of corrective measures taken. |
See report for full discussion of data completeness. |
GeoPlan relied on the integrity of the attribute information within the original data. |
http://www.epa.gov/smartgrowth/smartlocationdatabase.htm Sample Variables Included in the Smart Location Database For full descriptions of the variables, see the Smart Location Database User Guide (PDF) (35 pp, 1.22MB, About PDF). Category Density Gross residential density (housing units per acre) on unprotected land Gross population density (people per acre) on unprotected acre Gross employment density (jobs per acre) on unprotected acre Diversity of land use Jobs per housing unit Employment entropy (a measure of employment diversity) Employment and housing entropy Urban design Street intersections per square mile High-speed road network density Transit service Aggregate transit service frequency, afternoon peak period Transit service density, afternoon peak period Distance to nearest transit stop Destination accessibility by transit Jobs within a 45-minute transit commute Working-age population within a 45-minute transit commute Destination accessibility by car Jobs within a 45-minute drive Working-age population within a 45-minute drive Demographics Percentage of households with no car, 1 car, or 2 or more cars Percentage of workers that are low, medium, or high wage (by home and work locations) Employment Employment totals broken down by 5-tier classification scheme Employment totals broken down by 8-tier classification scheme ------------------------------------ Uses of the Smart Location Database Accessing and comparing neighborhood conditions Users can browse a simple interactive map Link to EPA's External Link Disclaimer to assess and compare conditions across different neighborhoods in their communities. Developing indicators of location efficiency EPA is using the Smart Location Database to develop simple indicators of location efficiency. For instance, EPA is working with the U.S. General Services Administration to develop a Smart Location Index that scores census block groups based on their built environment and accessibility characteristics. Block groups that are associated with reduced vehicle miles traveled receive higher scores compared to other block groups within the same metropolitan region. Advanced users could create similar composite indicators to compare walk ability, compact design, or other built environment characteristics. EPA hopes to include additional indicators of location efficiency in forthcoming updates to the Smart Location Database. Scenario planning and travel demand modeling Planners can use the Smart Location Database as baseline data in scenario planning, sketch planning, and travel demand studies when more detailed or consistent local data are unavailable. Analysts can also use elasticities found in the research literature6 to adjust outputs of travel or activity models that are otherwise insensitive to variation in the built environment. Conducting nationwide research studies and developing tools Building on previous research, EPA is conducting a nationwide modeling study to predict employee commute travel (e.g., average trip distances, mode share, vehicle miles traveled, etc.) based on workplace neighborhood characteristics. If successful, this study will produce equations for refining travel demand models. This study and others like it also make it possible to create simple online tools to help more communities analyze the potential outcomes of proposed land use development. Comparing urban form among metropolitan regions Researchers can use the Smart Location Database in nationwide studies that compare metropolitan regions based on urban form characteristics. For instance, analysts could determine the percentage of residents that live in walkable or transit-rich neighborhoods. EPA s 2012 study Residential Construction Trends in America s Metropolitan Regions used the Smart Location Database in conjunction with data from the National Land Cover Database and the American Community Survey to measure and compare infill housing development. Modeling impervious surface growth EPA analyzed variables in a previous version of the Smart Location Database and the National Land Cover Database to create a model and simple spreadsheet tool for estimating new impervious surface growth associated with land use development scenarios. This model is sensitive not only to density of development but also to its relative centrality within the surrounding metropolitan region. For details, see EPA s Impervious Surface Growth Model. For questions about the Smart Location Database and associated projects, please contact Kevin Ramsey (202-566-1153, ramsey.kevin@epa.gov). |
The Smart Location Database (SLD) enables the consistent comparison of different locations across the U.S. in terms of their land use characteristics, infrastructure, and accessibility to nearby destinations. SLD attributes were selected for their utility in travel demand modeling studies. However they may also be relevant to land use scenario planning, community development, and public health studies particularly when obtaining local data is not possible or practical. Planned updates to the SLD will summarize these environment and accessibility characteristics in the form of a Smart Location Index that represents a block group s relative location efficiency when compared to other block groups within the same metropolitan region. |
Data were collected using methods that have unknown accuracy (EPA National Geospatial Data Policy [NGDP] Accuracy Tier 10). For more information, please see EPA's NGDP at http://epa.gov/geospatial/policies.html |
This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan |
None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated. |
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 |
Smart Location Database http://www.epa.gov/dced/smartlocationdatabase.htm SLD Version 2.0 User Guide https://edg.epa.gov/data/Public/OP/SLD/SLD_UserGuide.pdf |
See report for full description of processing steps. Smart Location Database Version 2.0 User Guide https://edg.epa.gov/data/Public/OP/SLD/SLD_UserGuide.pdf Process Date: July 2013 |
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. Environmental Protection Agency, Office of Policy, Office of Sustainable Communities USEPA 1200 Pennsylvania Avenue, NW (MC 1807T) Washington, DC 20460 (202) 566-1153 |
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