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Layer: Wards/Districts (ID: 1)

View In:   ArcGIS Online Map Viewer

Name: Wards/Districts

Display Field: WARD

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Source Data are 1:1250 orthophoto base data, including parcel boundaries, road centerlines, and other features. Attribute Ward (integer) is the Ward Number (1-8). Attribute District (Character) is the District Name (East, Central, South, and North). Residential growth in the New North End large;y ended by the year 2000. However accelerated growth in the rest of the City increased the 1993 Overall Plan Deviation to 41.5% by 2010. Rather than remove a councilor from the NNE, an eighth ward was added in the UVM/Champlain College area, which minimized ward boundary changes for most of the City. Not wanting to increase the City Council to 16, ward pairs were combined into 4 Districts, with each of the wards and districts electing one councilor.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>

Service Item Id: bd88bf7f23ac46b99605dcbb89866160

Copyright Text: Jay Appleton 2013-12-01 Senior Programmer/Analyst

Default Visibility: true

MaxRecordCount: 5000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports ValidateSQL: true

Supports Calculate: true

Supports Datum Transformation: true

Extent:
Drawing Info: Advanced Query Capabilities:
HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: WARD

Fields: Types:
Capabilities: Query

Sync Can Return Changes: false

Is Data Versioned: false

Supports Rollback On Failure: true

Supports ApplyEdits With Global Ids: false

Supports Query With Historic Moment: false

Supports Coordinates Quantization: true

Supported Operations:   Query   Query Analytic   Calculate   Validate SQL   Generate Renderer   Return Updates   Iteminfo   Thumbnail   Metadata