Paid dataset with city names, coordinates, regions, and administrative divisions of World Cities. Available in Excel (.xlsx), CSV, JSON, XML, and SQL formats after purchase.
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
Paid dataset with city names, coordinates, regions, and administrative divisions of United States Minor Outlying Islands. Available in Excel (.xlsx), CSV, JSON, XML, and SQL formats after purchase.
Paid dataset with city names, coordinates, regions, and administrative divisions of Ireland. Available in Excel (.xlsx), CSV, JSON, XML, and SQL formats after purchase.
The purpose of the repository French zip-code is to keep a list as up-to-date as possible of French regions, departments, towns and villages in Metropole, Department and Overseas Region (DROM) and Overseas Communities (COM).
The data used comes from the INSEE website: — Metropolis and DROM: — 2018-03-28 — Regions — 2018-03-28 — Departments — 2018-03-28 — Cities — COM: — 2017-03-01 — Regions, Departments, Cities
If you wish you can participate in this project on Github: French zip-code
The data is provided in 3 formats (csv, json and sql) so that the maximum number of people can use them. The available files use a link system to easily navigate between lists using the INSEE codes of the target element. GitHub — Releases
Paid dataset with city names, coordinates, regions, and administrative divisions of Estonia. Available in Excel (.xlsx), CSV, JSON, XML, and SQL formats after purchase.
https://www.icpsr.umich.edu/web/ICPSR/studies/39411/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/39411/terms
The World Cities Culture Forum, established in 2012, is a leading global network of civic leaders from over 40 creative cities across six continents, representing a combined population of over 245 million. The forum fosters collaborations to place culture at the core of urban development, addressing 21st-century challenges such as climate change, affordable workspaces, cultural tourism, and diversity in public spaces. Through its Global Summit, partnerships, and programs like the Leadership Exchange Programme and Digital Dialogue Masterclasses, the forum promotes cultural integration in city planning. The World Cities Culture Report 2022 provides comprehensive open-source data on culture, including over 60 datasets from 40 cities. Contextual Data: Includes demographics such as characteristics of the overall and working-age populations (including percent who were foreign born) and of the geographical area, such as the percentage of national population living in the city and the percentage of the area devoted to parks and other public green spaces. Cultural Infrastructure: Provides counts (and rates) of various facilities and venues, including art galleries, artists' studios, rehearsal spaces, bars, bookshops, cinemas, community centers, concert halls, museums, nightclubs, libraries, video game arcades, and theatres. Participation and Tourism: Focuses on cultural participation metrics, such as cinema and theatre admissions, festival attendance, museum visits, average daily attendance at the top five art exhibits, and international tourist numbers. Creative Economy: Encompasses data on book publishing, creative industries employment, film festivals, restaurant ratings, and performances. Education: Includes statistics on public library book loans, higher education levels, international student enrollment, and specialist institutes in art and design education. The source for each number is identified within the dataset. Data users can freely download selected datasets as .csv files.
Geospatial data about US Major Cities (State). Export to CAD, GIS, PDF, CSV and access via API.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Update Frequency: Daily
For up to date information on service requests please visit, https://city.milwaukee.gov/ucc .
A log of the Unified Call Center's service requests.
From potholes, abandoned vehicles, high weeds on vacant lots, and curbside trash to faulty traffic signals, the City of Milwaukee's Unified Call Center (UCC) makes it easy to submit service requests to solve problems. The UCC also allows you to track your service requests. Each time you complete a service request online, you will be assigned a tracking number that you can use to see when a City of Milwaukee representative expects to investigate or take care of your request.
To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page.
Paid dataset with city names, coordinates, regions, and administrative divisions of Costa Rica. Available in Excel (.xlsx), CSV, JSON, XML, and SQL formats after purchase.
Open Jackson is the City of Jackson's open data portal to find facts, figures, and maps related to our lives within the city. We are working to make this the default technology platform to support the publication of the City's public information, in the form of data, and to make this information easy to find, access, and use by a broad audience. The release of Open Jackson marks the culminating point of our efforts to transition to a transparent government. We will continue our work to curate high-quality and up-to-date datasets and develop a platform that is widely accessible. If you have feedback, please contact [email protected]. In 2015, a new law created the online open data portal to increase transparency and accountability in Jackson by making key information easily accessible and usable to both city officials and citizens. Click here to view the Jackson Open Data Policy. You may use the search bar at the top of the page to find data. Once you find a dataset you would like to download, select the data and view the available download options. Datasets can also be filtered to display only the features of the dataset that you are interested in for download. Data is offered for download in several formats. Spatial and tabular data formats (CSV, KML, shapefile, and JSON) are available for use in GIS and other applications. Mobile users may require additional software to view downloaded data. To edit a shapefile on an iOS device, users will need to unzip the file with an app such as iZip and then open the file in a viewer/editor such as iGIS. By using data made available through this site, the user agrees to all the conditions stated in the following paragraphs as well as the terms and conditions described under the City of Jackson homepage. The data made available has been modified for use from its original source, which is the City of Jackson. The City of Jackson makes no claims as to the completeness, accuracy, timeliness, or content of any data contained in this application; makes no representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the site is being used at one's own risk. The City of Jackson reserves the right to discontinue providing any or all of the data feeds at any time and to require the termination of any and all displaying, distributing or otherwise using any or all of the data for any reason including, without limitation, your violation of any provision of these Terms of Use. If you have questions, suggestions, requests or any other feedback, please contact or email at [email protected]
This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.
Data fields requiring description are detailed below.
APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.
LICENSE STATUS: 'AAI' means the license was issued.
Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.
Data Owner: Business Affairs and Consumer Protection
Time Period: Current
Frequency: Data is updated daily
Summary data for each of several data sources can be downloaded in CSV and JSON formats. The data sources include: arrests, bail, case length, case outcomes, charges, future years of incarceration imposed, future years of supervision imposed, summary offense arrests, summary offense case length, summary office case outcomes, and summary charges. The data can be grouped by day, month, or year and filtered based on a date range. It can also be downloaded as a city-wide dataset or grouped by police district, zipcode, or census tract. The data is updated daily.
This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that have occurred in the City of Chicago over the past year, minus the most recent seven days of data. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://bit.ly/rk5Tpc.
Paid dataset with city names, coordinates, regions, and administrative divisions of Tanzania. Available in Excel (.xlsx), CSV, JSON, XML, and SQL formats after purchase.
Learn the step-by-step process to start downloading the open data of the City of Mendoza. To access and download the open data of the City of Mendoza, you do not need to register or create a user account. Access to the repository is free, and all datasets can be downloaded free of charge and without restrictions. The homepage has access buttons to 14 data categories and a search engine where you can directly enter the topic you want to access. Each data category refers to a section of the platform where you will find the various datasets available, grouped by theme. As an example, if we enter the Security section, we find different datasets within. Once you enter the dataset, you will find a list of resources. Each of these resources is a file that contains the data. For example, the dataset Security Dependencies includes specific information about each of the dependencies and allows you to access the information published in different formats and download it. In this case, if you want to open the file with the Excel program, you must click on the download button of the second resource that specifies that the format is CSV. Likewise, in other sections, there are datasets with information in various formats, such as XLS and KMZ. Each of the datasets also contains a file with additional information where you can see the last update date, the update frequency, and which government area is generating this information, among other things. To access and download the open data of the City of Mendoza, you do not need to register or create a user account. Access to the repository is free, and all datasets can be downloaded free of charge and without restrictions. The homepage has access buttons to 14 data categories and a search engine where you can directly enter the topic you want to access. Each data category refers to a section of the platform where you will find the various datasets available, grouped by theme. As an example, if we enter the Security section, we find different datasets within. Once you enter the dataset, you will find a list of resources. Each of these resources is a file that contains the data. For example, the dataset Security Dependencies includes specific information about each of the dependencies and allows you to access the information published in different formats and download it. In this case, if you want to open the file with the Excel program, you must click on the download button of the second resource that specifies that the format is CSV. Likewise, in other sections, there are datasets with information in various formats, such as XLS and KMZ. Each of the datasets also contains a file with additional information where you can see the last update date, the update frequency, and which government area is generating this information, among other things. Translated from Spanish Original Text: Conocé el paso a paso para empezar a descargar los datos abiertos de la Ciudad de Mendoza. Para acceder y descargar los datos abiertos de la Ciudad de Mendoza, no necesitás realizar ningún tipo de registro ni crear un usuario. El acceso al repositorio es libre y todos los datasets se pueden descargar de manera gratuita y sin restricciones. La página de inicio cuenta con botones de acceso a 14 categorías de datos y un buscador en donde podés ingresar directamente al tema al que quieras acceder. Cada categoría de datos, refiere a una sección de la plataforma en donde vas a encontrar los distintos datasets disponibles agrupados por temática. A modo de ejemplo, si ingresamos en la sección Seguridad, dentro encontramos diferentes datasets. Una vez que ingresas al dataset, encontrarás una lista de recursos. Cada uno de estos recursos es un archivo que contiene los datos. Por ejemplo, el dataset Dependencias de Seguridad incluye información específica sobre cada una de las dependencias y te permite acceder a la información publicada en distintos formatos y descargarla. En este caso, si quieres abrir el archivo con el programa Excel deberás hacer clic sobre el botón descargar del segundo recurso que especifica que el formato es CSV. Así como también, en otras secciones hay datasets con la información en diversos formatos, como XLS y KMZ Cada uno de los datasets, contiene además una ficha con información adicional en donde podés ver la última fecha de actualización, la frecuencia de actualización y qué área de gobierno es la generadora de esta información, entre otros. Para acceder y descargar los datos abiertos de la Ciudad de Mendoza, no necesitás realizar ningún tipo de registro ni crear un usuario. El acceso al repositorio es libre y todos los datasets se pueden descargar de manera gratuita y sin restricciones. La página de inicio cuenta con botones de acceso a 14 categorías de datos y un buscador en donde podés ingresar directamente al tema al que quieras acceder. Cada categoría de datos, refiere a una sección de la plataforma en donde vas a encontrar los distintos datasets disponibles agrupados por temática. A modo de ejemplo, si ingresamos en la sección Seguridad, dentro encontramos diferentes datasets. Una vez que ingresas al dataset, encontrarás una lista de recursos. Cada uno de estos recursos es un archivo que contiene los datos. Por ejemplo, el dataset Dependencias de Seguridad incluye información específica sobre cada una de las dependencias y te permite acceder a la información publicada en distintos formatos y descargarla. En este caso, si quieres abrir el archivo con el programa Excel deberás hacer clic sobre el botón descargar del segundo recurso que especifica que el formato es CSV. Así como también, en otras secciones hay datasets con la información en diversos formatos, como XLS y KMZ Cada uno de los datasets, contiene además una ficha con información adicional en donde podés ver la última fecha de actualización, la frecuencia de actualización y qué área de gobierno es la generadora de esta información, entre otros.
This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.
Data fields requiring description are detailed below.
APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.
LICENSE STATUS: 'AAI' means the license was issued.
Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.
Data Owner: Business Affairs and Consumer Protection
Time Period: Current
Frequency: Data is updated daily
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The YJMob100K human mobility datasets (YJMob100K_dataset1.csv.gz and YJMob100K_dataset1.csv.gz) contain the movement of a total of 100,000 individuals across a 75 day period, discretized into 30-minute intervals and 500 meter grid cells. The first dataset contains the movement of 80,000 individuals across a 75-day business-as-usual period, while the second dataset contains the movement of 20,000 individuals across a 75-day period (including the last 15 days during an emergency) with unusual behavior.
While the name or location of the city is not disclosed, the participants are provided with points-of-interest (POIs; e.g., restaurants, parks) data for each grid cell (~85 dimensional vector) as supplementary information (cell_POIcat.csv.gz).
For details of the dataset, see arXiv preprint https://arxiv.org/abs/2307.03401
Researchers may use this dataset for publications and reports, as long as: 1) Users shall not carry out activities that involve unethical usage of the data, including attempts at re-identifying data subjects, harming individuals, or damaging companies, and 2) The Data Descriptor paper (https://arxiv.org/abs/2307.03401; citation below) needs to be cited when using the data for research and/or commercial purposes. Downloading this dataset implies agreement with the above two conditions.
--- Details about the Human Mobility Prediction Challenge 2023 (ended November 13, 2023) ---
The challenge takes place in a mid-sized and highly populated metropolitan area, somewhere in Japan. The area is divided into 500 meters x 500 meters grid cells, resulting in a 200 x 200 grid cell space.
The human mobility datasets (task1_dataset.csv.gz and task2_dataset.csv.gz) contain the movement of a total of 100,000 individuals across a 90 day period, discretized into 30-minute intervals and 500 meter grid cells. The first dataset contains the movement of a 75 day business-as-usual period, while the second dataset contains the movement of a 75 day period during an emergency with unusual behavior.
There are 2 tasks in the Human Mobility Prediction Challenge.
In task 1, participants are provided with the full time series data (75 days) for 80,000 individuals, and partial (only 60 days) time series movement data for the remaining 20,000 individuals (task1_dataset.csv.gz). Given the provided data, Task 1 of the challenge is to predict the movement patterns of the individuals in the 20,000 individuals during days 60-74. Task 2 is similar task but uses a smaller dataset of 25,000 individuals in total, 2,500 of which have the locations during days 60-74 masked and need to be predicted (task2_dataset.csv.gz).
While the name or location of the city is not disclosed, the participants are provided with points-of-interest (POIs; e.g., restaurants, parks) data for each grid cell (~85 dimensional vector) as supplementary information (which is optional for use in the challenge) (cell_POIcat.csv.gz).
For more details, see https://connection.mit.edu/humob-challenge-2023
You may use the search bar at the top of the page to find data. Once you find a dataset you would like to download, select the data and view the available download options. Datasets can also be filtered to display only the features of the dataset that you are interested in for download. Data is offered for download in several formats. Spatial and tabular data formats (CSV, KML, shapefile, and JSON) are available for use in GIS and other applications. Mobile users may require additional software to view downloaded data. To edit a shapefile on an iOS device, users will need to unzip the file with an app such as iZip and then open the file in a viewer/editor such as iGIS. If you need a quick primer on City of Denton Open Data platform, watch this intro video By using data made available through this site, the user agrees to all the conditions stated in the following paragraphs as well as the terms and conditions described under the City of Denton homepage. The data made available has been modified for use from its original source, which is the City of Denton. The City of Denton makes no claims as to the completeness, accuracy, timeliness, or content of any data contained in this application; makes no representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the site is being used at one's own risk. The City of Denton reserves the right to discontinue providing any or all of the data feeds at any time and to require the termination of any and all displaying, distributing or otherwise using any or all of the data for any reason including, without limitation, your violation of any provision of these Terms of Use. If you have questions, suggestions, requests or any other feedback, please contact or email at [email protected]
To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page.
Paid dataset with city names, coordinates, regions, and administrative divisions of World Cities. Available in Excel (.xlsx), CSV, JSON, XML, and SQL formats after purchase.