This city boundary shapefile was extracted from Esri Data and Maps for ArcGIS 2014 - U.S. Populated Place Areas. This shapefile can be joined to 500 Cities city-level Data (GIS Friendly Format) in a geographic information system (GIS) to make city-level maps.
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City Building Locations and Use
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name
This dataset tracks real-time progress toward a comprehensive City Data Inventory.
This is a graphical point dataset depicting the location of the San Antonio City Hall is situated in the center of Military Plaza (Plaza de Armas) established in 1722 by the Spanish settlers of Texas who earlier had established a garrison on San Pedro Creek which runs along the western border of the plaza.
2002-03 to 2019-20 City Financial Transactions Report - Expenditures, for the finance application.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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A. SUMMARY
This data represents the boundaries of City-owned lands maintained in the City's Facility System of Record (FSR).
Note: Not all lands are within the City and County proper. The City owns properties outside of its boundaries, including lands managed by SF Recreation and Parks, SF Public Utilities Commission, and other agencies.
Certain lands are managed by following agencies which are not directly part of the City and County of San Francisco, but are included here for reference: San Francisco Housing Authority (SFHA), San Francisco Office of Community Investment and Infrastructure (OCII), and City College of San Francisco.
B. HOW THE DATASET IS CREATED The Enterprise GIS program in the Department of Technology is the technical custodian of the FSR. This team creates and maintains this dataset in conjunction with the Real Estate Division and the Capital Planning Program of the City Administrator’s Office, who act as the primary business data stewards for this data.
C. UPDATE PROCESS There are a handful of events that may trigger changes to this dataset: 1. The sale of a property 2. The leasing of a property 3. The purchase of a property 4. The change in jurisdiction of a property (e.g. from MTA to DPW) 5. The removal or improvement of the property Each of these changes triggers a workflow that updates the FSR. The Real Estate Division and Capital Planning make updates on an ongoing basis. The full dataset is reviewed quarterly to ensure nothing is missing or needs to be corrected. Updates to the data, once approved, are immediately reflected in the internal system and are updated here in the open dataset on a monthly basis.
D. HOW TO USE THIS DATASET See here for an interactive map of all the City lands in this dataset. To track the facilities on City lands, join this dataset to the City Facilities dataset using the land_id field. If you see an error in the data, you can submit a change request with the relevant information to dtis.helpdesk@sfgov.org. Please be as specific about the error as you can (including relevant land_id(s)).
E. RELATED DATASETS City Facilities
The World Council on City Data (WCCD) awarded the City of Melbourne a platinum designation for its compliance with ISO 37120 (http://www.iso.org/iso/catalogue_detail?csnumber=62436), the world’s first international standard for city indicators. Reporting to the standard allows cities to compare their service delivery and quality of life to other cities globally. The City of Melbourne was one on 20 cities to, globally to help pilot this program and is one of sixteen cities to receive the highest level of accreditation (platinum). \r
Having an international standard methodology to measure city performance allows the City of Melbourne to share data about practices in service delivery, learn from other global cities, rank its results relative to those cities, and address common challenges through more informed decision making. \r
Indicators include: Fire and emergency response; Governance; Health; Recreation; Safety; Shelter; Solid Waste; Telecommunications and Innovation; Transportation; Urban Planning; Wastewater; Water and Sanitation; Economy; Education; Energy; Environment; and Finance.\r
City of Melbourne also submitted an application for accreditation, on behalf of ‘Greater Melbourne’, to the World Council on City Data and this resulted in an ‘Aspirational’ accreditation awarded to wider Melbourne. \r
A summary of Melbourne's results is available here (http://open.dataforcities.org/). Visit the World Council on City Data’s Open Data Portal to compare our results to other cities from around the world.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Public art projects in the City of Pittsburgh, including type of art, artist's name, and location.
NOTE: The data in this dataset has not updated since 2021 because of a broken data feed. We're working to fix it.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Tower City by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Tower City. The dataset can be utilized to understand the population distribution of Tower City by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Tower City. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Tower City.
Key observations
Largest age group (population): Male # 45-49 years (90) | Female # 85+ years (85). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Tower City Population by Gender. You can refer the same here
City Facility data pulled from the Operations Management System for the Department of Public Works
As of 2024, Seattle was rated the best prepared city in the United States for a smart city future, with an index score of ****. Miami and Austin followed, with **** and ****, respectively. All the top three cities ranked best in their connectivity and infrastructure preparedness.
2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level.
This dataset contains polygon features of city limits
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
This map layer contains residential neighborhood areas within the City of Bloomington. Primarily it contains areas that have neigbhorhood or homeowner associations or organizations that are registered with the City of Bloomington Housing and Neighborhood Development Department (HAND). It does not contain all neighborhood areas. It may contain areas outside the city limits if part of the neighborhood area is also within the City.
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
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The Cleveland City Planning Commission Zoning Lookup Tool is the official Cleveland City Planning public map for users to see effective zoning and related geospatial data for the City of Cleveland.For full legal descriptions of each zoning code, please see Part IIIB of the official City of Cleveland Code of Ordinances.Parcel information is provided through Cuyahoga County GIS.InstructionsClicking on specific zoning districts or parcels prompts a pop-up description which provides additional information about the selected feature, including links to PDFs of the effective ordinance that established the feature.Layers may be turned on and off using the layer widget in the top-right corner. Update FrequencyMonthlyThis app uses the following dataset(s):Cleveland City Planning Zoning & Administrative Layers (please note, this is a snapshot for data users, use the viewer application for most recent information)ContactsXavier Bay, Cleveland Planning Commission, xbay@clevelandohio.gov
Providers that have contracts with the City to deliver social services.
This dataset contains environmental holds placed by the Department of Environment (DOE) up to December 31, 2011 and by the Department of Public Health (CDPH) post December 31, 2011 on construction-related permits issued by the City of Chicago. On January 1, 2012, the DOE was disbanded and all its inspection, permitting, and enforcement authorities were transferred to the CDPH. This dataset also contains No Further Remediation Letters (NFRs) received by the DOE or the CDPH for properties that have been cleaned up under the Illinois Environmental Protections Agency’s (IEPA) Leaking Underground Storage Tank (LUST) program. Throrium holds in this dataset ends November 15, 2016.
Small Area plan polygons as determined by the planning department of the City of Alexandria. Small Area Plans are the 18 geographic planning areas within the City that together create the City Master Plan. These master plans are guiding documents that provide community-based long-range planning and analysis regarding the physical development and appearance of neighborhoods across the City. Overlay plans are Supplemental plans and amendments to existing Small Area Plans that provide greater standards or regulations. Properties located within the boundaries are subject to the requirements and regulations per the overlay plan in addition to other City standards and policies. If the overlay plan is silent to or does not address a specific issue or topic, the underlying Small Area Plan applies.
City of Salem, Oregon City Council Ward Boundaries. Included is the Councilor and their contact information. These boundaries are maintained and edited by Salem Public Works GIS.
This city boundary shapefile was extracted from Esri Data and Maps for ArcGIS 2014 - U.S. Populated Place Areas. This shapefile can be joined to 500 Cities city-level Data (GIS Friendly Format) in a geographic information system (GIS) to make city-level maps.