Name: ESRI Demographics 2017 - Countywide Stat. Areas (centroid)
Display Field: CITY_TYPE
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: This layer was generated by the Department of Regional Planning and looks at various ESRI 2017 Demographics data. This was used for a project for Equity Development Tools, but was shared with the Enterprise Group who may also find this information useful. Below are a list of attributes that were used, and below that list is a definition of the Countywide Statistical Areas from eGIS. For more information about ESRI 2017 Demographics, click here.UPDATE HISTORY:4/18/18 - layer createdDEMOGRAPHIC DATA INCLUDED:2017 Total Population (Esri)2017 Total Population Density (Esri)2017 Average Household Size (Esri)2017 Median Household Income (Esri)2017 Average Household Income (Esri)2017 Total Housing Units (Esri)2017 Owner Occupied Housing Units (Esri)2017 Renter Occupied Housing Units (Esri)2017 Vacant Housing Units (Esri)2017 Employed Civilian Population Age 16+ (Esri)2017 Unemployed Population Age 16+ (Esri)2017 Unemployment Rate (Esri)2017 White Non-Hispanic Population (Esri)2017 Black/African American Non-Hispanic Population (Esri)2017 American Indian/Alaska Native Non-Hispanic Population (Esri)2017 Asian Non-Hispanic Population (Esri)2017 Pacific Islander Non-Hispanic Population (Esri)2017 Other Race Non-Hispanic Population (Esri)2017 Multiple Races Non-Hispanic Population (Esri)2017 Minority Population (Esri)2017 Minority Population (Esri) - Percentage2017 Diversity Index (Esri)2017 Education: < 9th Grade2017 Education: High School/No Diploma2017 Education: High School Diploma2017 Education: GED2017 Education: Some College/No Degree2017 Education: Associate's Degree2017 Education: Bachelor's Degree2017 Education: Grad/Professional Degree2017 Educational Attainment BaseThe CSA project was developed to provide a common geographic boundary for reporting departmental statistics for unincorporated areas to the Board of Supervisors. The CIO and the LA County Enterprise GIS group worked with the Los Angeles County Board of Supervisors Unincorporated Area and Field Deputies to establish names that reflect as best as possible the general name preferences of residents and historical names of areas. A Board Motion will establish these area names as “Board Approved.” CSAs differ from the more informal “Community” geographies because:They are primarily focused on broad statistics and reporting, not mapping of communities.They represent board approved geographies comprised of Census block groups split by cities.They must cover the entire unincorporated CountyThere can be no holes or overlapping areasThe CSAs were created using Census Block Groups split by cities (e.g. "Split Block Groups") as a geographic building block. This allows users to leverage the rich information provided by the US Census Bureau to better report statistics, including rates from the decennial census and population estimates. Population estimates are included in the POPULATION field. These values represent the most recently available population estimate information for the year 2016.In the City of Los Angeles, the LA City Neighborhood file was overlaid on the Block Groups and boundaries assigned using the centroid of the block group - therefore, while the names of the CSAs in LA City match the neighborhood file, the boundaries are not the same.Additionally, CSAs are to be named according to the following recommended naming conventions:All names will be assumed to begin with “Unincorporated” (e.g. Unincorporated El Camino Village). They will not be part of the Statistical Geography Name (so the name of the Statistical Area would be “El Camino Village”).Names will not contain “Island” – beginning each name with “Unincorporated” will distinguish an area from any surrounding cities. There may be one or more exceptions for certain small areas (e.g. “Bandini Islands”)A forward slash implies an undetermined boundary between two areas within a statistical geography (e.g. Westfield/Academy Hills or View Park/Windsor Hills)Certain established names may include hyphens (e.g. Florence-Firestone)Aliases may be defined in parentheses (e.g. Unincorporated Long Beach (Bonner/Carson Park))
Copyright Text: Los Angeles County, US Census Bureau, ESRI
Default Visibility: true
MaxRecordCount: 3000
Supported Query Formats: JSON, geoJSON
Min Scale: 1155582
Max Scale: 577792
Supports Advanced Queries: true
Supports Statistics: true
Has Labels: false
Can Modify Layer: true
Can Scale Symbols: false
Use Standardized Queries: true
Supports Datum Transformation: true
Extent:
XMin: 6312924.854017302
YMin: 1412689.046619311
XMax: 6651213.999944225
YMax: 2113699.448073387
Spatial Reference: 102645
(2229)
Drawing Info:
Renderer:
Simple Renderer:
Symbol: Style: esriSMSCircle
Color: [104, 0, 133, 255]
Size: 4.0
Angle: 0.0
XOffset: 0
YOffset: 0
Outline:
Label:
Description:
Transparency: 0
Labeling Info:
Advanced Query Capabilities:
Supports Statistics: true
Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false
HasZ: false
HasM: false
Has Attachments: false
HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText
Type ID Field: null
Fields:
-
OBJECTID
(
type: esriFieldTypeOID, alias: OBJECTID
)
-
CITY_TYPE
(
type: esriFieldTypeString, alias: CITY_TYPE, length: 25
)
-
LCITY
(
type: esriFieldTypeString, alias: LCITY, length: 25
)
-
COMMUNITY
(
type: esriFieldTypeString, alias: COMMUNITY, length: 40
)
-
LABEL
(
type: esriFieldTypeString, alias: LABEL, length: 75
)
-
SOURCE
(
type: esriFieldTypeString, alias: SOURCE, length: 16
)
-
ID
(
type: esriFieldTypeString, alias: ID, length: 256
)
-
sourceCountry
(
type: esriFieldTypeString, alias: sourceCountry, length: 256
)
-
ORIG_ID
(
type: esriFieldTypeInteger, alias: ORIG_ID
)
-
aggregationMethod
(
type: esriFieldTypeString, alias: aggregationMethod, length: 256
)
-
HasData
(
type: esriFieldTypeInteger, alias: HasData
)
-
TOTPOP_CY
(
type: esriFieldTypeDouble, alias: 2017 Total Population
)
-
POPDENS_CY
(
type: esriFieldTypeDouble, alias: 2017 Population Density
)
-
TOTPOP10
(
type: esriFieldTypeDouble, alias: 2010 Total Population
)
-
POPDENS10
(
type: esriFieldTypeDouble, alias: 2010 Population Density
)
-
HISPPOP_CY
(
type: esriFieldTypeDouble, alias: 2017 Hispanic Population
)
-
NHSPWHT_CY
(
type: esriFieldTypeDouble, alias: 2017 Non-Hispanic White Pop
)
-
NHSPBLK_CY
(
type: esriFieldTypeDouble, alias: 2017 Non-Hispanic Black Pop
)
-
NHSPAI_CY
(
type: esriFieldTypeDouble, alias: 2017 Non-Hispanic American Indian Pop
)
-
NHSPASN_CY
(
type: esriFieldTypeDouble, alias: 2017 Non-Hispanic Asian Pop
)
-
NHSPPI_CY
(
type: esriFieldTypeDouble, alias: 2017 Non-Hispanic Pacific Islander Pop
)
-
NHSPOTH_CY
(
type: esriFieldTypeDouble, alias: 2017 Non-Hispanic Other Race Pop
)
-
NHSPMLT_CY
(
type: esriFieldTypeDouble, alias: 2017 Non-Hispanic Multiple Race Pop
)
-
MINORITYCY
(
type: esriFieldTypeDouble, alias: 2017 Non-Hispanic Pop of 2+ Races
)
-
DIVINDX_CY
(
type: esriFieldTypeDouble, alias: 2017 Diversity Index
)
-
RACEBASECY
(
type: esriFieldTypeDouble, alias: 2017 Population by Race Base
)
-
MEDVAL_CY
(
type: esriFieldTypeDouble, alias: 2017 Median Home Value
)
-
CIVLBFR_CY
(
type: esriFieldTypeDouble, alias: 2017 Civ Pop 16+/Labor Force
)
-
EMP_CY
(
type: esriFieldTypeDouble, alias: 2017 Employed Civilian Pop 16+
)
-
INDBASE_CY
(
type: esriFieldTypeDouble, alias: 2017 Emp 16+ by Industry Base
)
-
UNEMP_CY
(
type: esriFieldTypeDouble, alias: 2017 Unemployed Population 16+
)
-
UNEMPRT_CY
(
type: esriFieldTypeDouble, alias: 2017 Unemployment Rate
)
-
NOHS_CY
(
type: esriFieldTypeDouble, alias: 2017 Education: < 9th Grade
)
-
SOMEHS_CY
(
type: esriFieldTypeDouble, alias: 2017 Education: High School/No Diploma
)
-
HSGRAD_CY
(
type: esriFieldTypeDouble, alias: 2017 Education: High School Diploma
)
-
GED_CY
(
type: esriFieldTypeDouble, alias: 2017 Education: GED
)
-
SMCOLL_CY
(
type: esriFieldTypeDouble, alias: 2017 Education: Some College/No Degree
)
-
ASSCDEG_CY
(
type: esriFieldTypeDouble, alias: 2017 Education: Associate's Degree
)
-
BACHDEG_CY
(
type: esriFieldTypeDouble, alias: 2017 Education: Bachelor's Degree
)
-
GRADDEG_CY
(
type: esriFieldTypeDouble, alias: 2017 Education: Grad/Professional Degree
)
-
EDUCBASECY
(
type: esriFieldTypeDouble, alias: 2017 Educational Attainment Base
)
-
TOTHU_CY
(
type: esriFieldTypeDouble, alias: 2017 Total Housing Units
)
-
OWNER_CY
(
type: esriFieldTypeDouble, alias: 2017 Owner Occupied HUs
)
-
RENTER_CY
(
type: esriFieldTypeDouble, alias: 2017 Renter Occupied HUs
)
-
VACANT_CY
(
type: esriFieldTypeDouble, alias: 2017 Vacant Housing Units
)
-
TOTHH_CY
(
type: esriFieldTypeDouble, alias: 2017 Total Households
)
-
MEDHINC_CY
(
type: esriFieldTypeDouble, alias: 2017 Median Household Income
)
-
ORIG_FID
(
type: esriFieldTypeInteger, alias: ORIG_FID
)
-
Shape
(
type: esriFieldTypeGeometry, alias: Shape
)
-
LT_HS_CY
(
type: esriFieldTypeDouble, alias: LT_HS_CY
)
-
PCT_MINORITY_POP_WholeNum
(
type: esriFieldTypeDouble, alias: 2017 Minority Population - pct. (whole num)
)
-
HS_OR_LESS_CY_PCT
(
type: esriFieldTypeDouble, alias: 2017 Education: High School or less (pct.)
)
-
NHSPWHT_CY_PCT
(
type: esriFieldTypeDouble, alias: NHSPWHT_CY_PCT
)
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