New Orleans City Council Districts, effective May 5, 2014 Voters placed in the districts displayed on January 1, 2014 for all future elections. Council districts are based upon the 2010 census and redistricting. Precincts are drawn according to the New Orleans Home Rule Charter. Precinct boundaries were updated September 25, 2015, in order to satisfy population changes discovered by the Orleans Registrar of Voters Office. The changes have been made by the City of New Orleans and verified by the Louisiana Secretary of State's Office.

Table of Census Demographics represented at the NYC City Council district level

City of Long Beach council district boundaries.

The City Council District boundaries for New York City clipped to the shoreline. The City Council redistricting process takes place every ten years to reflect population changes reported in the US Census by the New York City Council Redistricting Commission. These district boundaries represent the redistricting as of the US Census 2010.

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

GIS Web Map Application of the 10 City Council Voter Districts

The approved and adopted 2022 City Council Districts were created in response to the population shifts shown in the 2020 Census. Each council district has been redesigned to be as equal as possible in total population, be compact and be contiguous. Three options were presented to City Council who voted for and selected option 1. This option along with requested supplemental data was sent to the Attorney General’s Office and approved on April 11, 2022.The supplemental demographic data shown is calculated using table P2 from the 2020 Census. Hispanic total is calculated using PL Item P0020002, Non-Hispanic White uses P0020005, Non-Hispanic Black uses P0020006 & P0020013, and Non-Hispanic Asian uses P0020008 and P0020015. These groupings were used based on the Office of Management and Budget’s guidance on how to combine multi-race variables, which is the format the Department of Justice follows.For more information please visit the City Council website.

Following each census, Detroit City Council is required by the 2012 Detroit City Charter to redraw the boundaries of the City's seven non at-large districts to be "as nearly of equal population as practicable, contiguous, compact and in accordance with any other criteria permitted by law" (Sec. 3-108). After considering six district boundary proposals meant to meet these criteria, City Council selected the boundaries described in this document by an 8-1 vote on February 6, 2024. These boundaries will be used to determine resident districts when voting in 2025 municipal elections, and will officially take effect January 1, 2026.

Note: This council district layer goes into effect on January 1, 2026. The council district layer in effect until December 31st, 2025 can be found here

This Council Districts map is for illustrative purposes only and the City of Detroit makes no representations as to its accuracy. For the official geographic boundaries, please refer to the geographical boundaries formally approved by the Detroit City Council on February 6, 2024. For convenience, a link to the formally approved boundaries may be found here. The reapportioned City Council District boundaries take effect on January 1, 2026.

Following each census, Detroit City Council is required by the 2012 Detroit City Charter to redraw the boundaries of the City's seven non at-large districts to be "as nearly of equal population as practicable, contiguous, compact and in accordance with any other criteria permitted by law" (Sec. 3-108).City Council selected the boundaries illustrated here by an 8-1 vote on February 6, 2024. These boundaries will be used to determine resident districts when voting in 2025 municipal elections, and will officially take effect January 1, 2026.

This data set is a polygon layer denoting the five City Council districts for the City of Greensboro, NC. District boundaries are derived from census data to determine fair council district boundaries based on reasonable geographic area, population, demographics. City Council districts are updated at least every decennial census, though they are also updated as City annexations occur or when population shifts necessitate redistricting. Attribute data is updated after each Municipal General Election held during odd-numbered years. (Last updated November 2013)

This dataset contains the Census 2020 Block Populations with the Council Districts appended to them. The Council Districts were joined to the Census blocks based on the center point of the census block polygon.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

This dataset represents the local legislative boundaries of the Lexington-Fayette Urban County Council. The Council districts are determined by the Fayette County Board of Election's voting precinct boundaries and 2020 Census demographic data. Voting precincts are grouped together to create the districts. Updates are made by Lexington-Fayette Urban County Government ordinance approximately every 10 years as new Census data is released in an attempt for population equality in the districts. The districts in this dataset were defined during a series of public meetings held by a Redistricting Committee consisting of 15 appointed members (one community member appointed by each sitting Council Member) and assisted by Lexington-Fayette Urban County Government GIS, Council, and Planning staff as well as the Fayette County Board of Elections. The ordinance for the Council Districts in this dataset received second reading by the Urban County Council on December 7, 2021.

The Tacoma City Council is comprised of the Mayor and eight Council Members. Five of the Council Members are elected from each of the city's five councilmanic districts. The Mayor and three additional Council Members are elected to city-wide, or at-large, positions.Federal law PL94-171 requires cities, counties, and states to reassess voting districts to account for population shifts every 10 years following the US Census. This process ensures effective and fair citizen representation. The 2022 councilmanic boundary reassessed the voting districts approved in 2012. As a result, the new councilmanic boundary was adopted in 2022.The 2022 councilmanic boundary ensures an equal number of Tacoma residents across its five districts to ensure equal representation by the City Council, using data from the 2020 census. The modeling required careful balancing of population numbers with other key factors such as physical boundaries, traffic arterials and parks, community hubs, business centers, and natural boundaries such as waterways and hills. The 2022 Councilmanic boundary maintains existing communities' continuity wherever possible. It minimizes shifting people into different districts to keep communities intact. As a part of this process, it was important to carefully consider communities that share common social or economic interests that should be included within a single district for effective representation.More information: https://www.cityoftacoma.org/government/city_council

Philadelphia Council District Health Dashboard - Dataset and Codebook

Description

This dataset supports the Philadelphia Council District Health Dashboard, an interactive web application that visualizes health disparities and social determinants of health across Philadelphia's 10 City Council Districts. The dashboard provides district-level insights to guide equitable policy and investment decisions by City Council members and the public.

Background

Philadelphia residents experience drastically different health outcomes across the city – differences shaped by federal, state, and local policies rather than individual choices alone. This project maps key health indicators across all 10 Philadelphia City Council Districts to show how politics and geography intersect to shape Philadelphian health.

Data Sources

• US Census Bureau American Community Survey (ACS) 5-year estimates (2018-2022)
• Open Data Philly (2015-2024)

Data aggregated from original geographic units to City Council District boundaries using population-weighted methods.

Dataset Contents

Files:

• data_v1.csv - Main dataset containing health indicators by Philadelphia City Council District
• codebook_v1.csv - Complete metadata and variable documentation

Methodology

• Population-weighted aggregation for demographic/socioeconomic variables
• Area-weighted aggregation for environmental variables
• Count aggregation for incident data
• City averages calculated as population-weighted across districts

Geographic Coverage

• Unit: Philadelphia City Council Districts (n=10)
• Period: 2018-2022 (ACS), 2015-2024 (Open Data Philly)

Applications

Supports policy analysis, community advocacy, academic research, and public health planning at the district level.

Contact

Authors

Amber Bolli, Tamara Rushovich, Ran Li, Stephanie Hernandez, Alina Schnake-Mahl

Funding

Transform Academia for Equity grant from Robert Wood Johnson Foundation

Keywords

Philadelphia, City Council, Health Disparities, Social Determinants, Urban Health, Public Policy, Geospatial Analysis

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau to show demographic, economic, housing, and social change from 2000 to 2017 by Atlanta City Council Districts in the Atlanta region. The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website. Naming conventions: Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)Suffixes:NoneChange over two periods_eEstimate from most recent ACS_mMargin of Error from most recent ACS_00Decennial 2000 Attributes:Attributes and definitions available below under "Attributes" section and in Infrastructure Manifest (due to text box constraints, attributes cannot be displayed here). Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2000-2017 For additional information, please visit the Census ACS website.

Large Dallas city council district 13 detailed map. The information represented are (total population, total district area, trail milage, park acreage, and household income.)

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

Field aliases for the dataset are below. Data drawn from ESRI's Enrich tool and are current as of 2024. NAME

GEOTYPE

TotalPop

MedianAge

MalePop

MalePopPct

Male_0_4

Male_0_4Pct

Male_5_9

Male_5_9Pct

Male_10_14

Male_10_14Pct

Male_15_19

Male_15_19Pct

Male_20_24

Male_20_24Pct

Male_25_29

Male_25_29Pct

Male_30_34

Male_30_34Pct

Male_35_39

Male_35_39Pct

Male_40_44

Male_40_44Pct

Male_45_49

Male_45_49Pct

Male_50_54

Male_50_54Pct

Male_55_59

Male_55_59Pct

Male_60_

Male_60_Pct

FemalePop

FemalePopPct

Female_0_4

Female_0_4Pct

Female_5_9

Female_5_9Pct

Female_10_14

Female_10_14Pct

Female_15_19

Female_15_19Pct

Female_20_24

Female_20_24Pct

Female_25_29

Female_25_29Pct

Female_30_34

Female_30_34Pct

Female_35_39

Female_35_39Pct

Female_40_44

Female_40_44Pct

Female_45_49

Female_45_49Pct

Female_50_54

Female_50_54Pct

Female_55_59

Female_55_59Pct

Female_60_

Female_60_Pct

TotalHH

OwnerOccupy

OwnerOccupyPct

RenterOccupy

RenterOccupyPct

TotalHU

VacantHU

VacantHUPct

WhitePop

WhitePopPct

BlackPop

BlackPopPct

AsianPop

AsianPopPct

IndianPop

IndianPopPct

PacificPop

PacificPopPct

OtherRace

OtherRactPct

HispanicPop

HispanicPopPct

Edu_HS_NoDiploma

Edu_HS_Diploma

Edu_GED

Edu_College_NoDegree

Edu_AssociateDegree

Edu_BachelorDegree

Edu_GraduateDegree

AverageHHSize

HHBelowPovery

MedianHHIncome

MedianHValue

MedianAge_1

HU_50_

HU_50_Pct

HU_20_49

HU_20_49Pct

HU_10_19

HU_10_19Pct

HU_5_9

HU_5_9Pct

HU_3_4

HU_3_4Pct

HU_2

HU_2Pct

HU_1_Attached

HU_1_AttachedPct

HU_1_Detached

HU_1_DetachedPct

WorkHome

OtherMeans

Walked

Bicycle

PublicTrans

DroveAlone

Carpooled

Shape_Length

Shape_Area

This report provides information about the demographics of children and parents at steps in the child welfare system. It is produced in compliance with Local Law 132 of 2022.

Feature layer generated from running the Enrich layer solution. NYC_City_Council_Districts were enriched