Checkbook NYC 2.0 provides unprecedented access to view and track how New York City government spends its nearly $70 billion annual budget.

This dataset provides detailed air quality index (AQI) measurements for various pollutants across different regions in New York. It is designed to support environmental research, urban planning, and machine learning projects focused on understanding and mitigating air pollution's impact.

Number of NYC taxi passengers 🚕, where the five anomalies occur during the NYC marathon, Thanksgiving, Christmas, New Years day, and a snow storm. The raw data is from the NYC Taxi and Limousine Commission. The data file included here consists of aggregating the total number of taxi passengers into 30 minute buckets.

The data can be used for analysis, anomaly detection or any relevant study.

Don't forget to upvote 👍 if you like the dataset!

This dataset identifies property managed partially or solely by NYC Parks. This data has been produced in whole or part using secondary data. Data accuracy is limited by the scale and accuracy of the original sources. Site-specific conditions should be field-verified.

Records are added as more land is designated under NYC Parks’ jurisdiction. Each record represents an acquisition.

User Guide: https://docs.google.com/document/d/1NExNJF5YKID04oOopi0fHainRuGG3Pz_jKSrMujPsPk/edit?usp=sharing

Data Dictionary: https://docs.google.com/spreadsheets/d/1Q4DBWu7riNFxWvy1vnTJHoOI3r2L9oW6eCN56jCNyCw/edit?usp=sharing

This list contains information on approved event applications from 2008. Please note that Permitted Film Events only reflect those permits which will impact one or more streets for at least five days.

For a current list of events, please refer to NYC Permitted Event Information dataset at https://data.cityofnewyork.us/City-Government/NYC-Permitted-Event-Information/tvpp-9vvx

An index of pedestrian volumes tracking the long-term trends of neighborhood commercial corridors. Data is collected at 114 locations, including 100 on-street locations (primarily retail corridors), 13 East River and Harlem River bridge locations, and the Hudson River Greenway. Screenline sampling is conducted during May and September on the sidewalk, mid-block (or mid-bridge) on both sides of street where applicable. Pedestrian volumes at 50 sample locations around the City are combined to create the Pedestrian Volume Index for the Mayor’s Management Report.

Click here for metadata - http://www.nyc.gov/html/dot/downloads/pdf/bi-annual-ped-count-readme.pdf

New York City Population By Community Districts

The data was collected from Census Bureaus' Decennial data dissemination (SF1) for the years 1970, 1980, 1990, 2000 and 2010.

Compiled by the Population Division – New York City Department of City Planning

Content

Directory of food and beverage venues in the Times Square area

Context

This is a dataset hosted by the City of New York. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York City using Kaggle and all of the data sources available through the City of New York organization page!

• Update Frequency: This dataset is updated quarterly.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by Mike Enerio on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

New driver application status check. For historical data, please see- https://data.cityofnewyork.us/Transportation/Historical-Driver-Application-Status/p32s-yqxq

Data dictionary available here: https://data.cityofnewyork.us/api/views/dpec-ucu7/files/6cd40752-22c4-4c56-ba39-dfa51cc6e14c?download=true&filename=NewDriverAppStatusLookupLegend.pdf

Graph and download economic data for Burdened Households (5-year estimate) in New York County, NY (DP04ACS036061) from 2010 to 2024 about New York County, NY; burdened; New York; NY; households; 5-year; and USA.

This dataset contains the data presented in the paper GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems. Code: https://github.com/w11wo/GenUP

The historical dataset of private schools in New York County, New York, is provided by PrivateSchoolReview and contain statistics on metrics:Trends in Total Number of Private Schools,Trends in the Average Number of Students Per Private School,Student-Teacher Ratio Trends (2015-2025),Trends in Average Number of AP Courses Offered,Class Size Trends (2015-2025),ACT Score Trends (2016-2025),SAT Score Trends (2015-2025),Acceptance Rate Trends (2015-2025),Tuition Cost Trends (2015-2025),Endowment Trends (2017-2025),Financial Aid Grant Trends (2015-2025),Summer Program Cost Trends (2018-2025),Percent on Financial Aid Trends (2015-2025),Percentage of Students of Color Trends (2015-2025),Percentage of Faculty With Advanced Degrees Trends (2015-2025),Diversity Score Trends,Asian Student Percentage Trends,Hispanic Student Percentage Trends,Black Student Percentage Trends,White Student Percentage Trends,Other Races Student Percentage Trends

Context

Welcome to New York City (NYC), one of the most-visited cities in the world. As a result, Since 2008 to 2019 there are many Airbnb listings to meet the high demand for temporary lodging for anywhere between a few nights to many months, guests and hosts have used Airbnb to expand on traveling possibilities and present more unique, personalized way of experiencing the world.

Content

This data file includes all needed information from guests name, id, date, neighborhood name and it's listing price to rooms and its type, using dataset you can perform and apply various data cleaning techniques and also to make predictions

You can find complete tutorial about this dataset in this notebook: https://www.kaggle.com/code/ebrahimelgazar/exploring-nyc-airbnb-market

You can find full notebook documentation on this GitHub link: https://github.com/EbGazar/Exploring-NYC-Airbnb-Market

Inspiration

• What is the average price, per night, of an Airbnb listing in NYC?
• How does the average price of an Airbnb listing, per month, compare to the private rental market?
• How many adverts are for private rooms?
• How do Airbnb listing prices compare across the five NYC boroughs?

The provided dataset offers comprehensive insights into various job postings within different governmental agencies in New York City. Ranging from administrative roles to specialized technical positions, each entry outlines essential details such as job titles, agency affiliations, qualifications, and application procedures.

https://media.giphy.com/media/v1.Y2lkPTc5MGI3NjExdHN5ZGZ4dzd2cHlhOWp5bzZndXNjYjdyMDkxMTZsNmEwcGdjcTZkcyZlcD12MV9naWZzX3NlYXJjaCZjdD1n/jTvp1Ck02UeAt0ZfSf/giphy.gif" alt="">

With a focus on roles within departments like the Department of Environmental Protection, Bronx District Attorney's Office, Office of Criminal Justice, and Department of Design & Construction, this dataset provides a valuable resource for individuals seeking employment opportunities in public service.

https://media.giphy.com/media/FOV9923exXGM78DoSZ/giphy.gif?cid=790b7611tsydfxw7vpya9jyo6guscb7r09116l6a0pgcq6ds&ep=v1_gifs_search&rid=giphy.gif&ct=g" alt="">

Through detailed descriptions of job responsibilities, qualifications, and application processes, this dataset serves as a guide for both prospective applicants and organizational recruiters, facilitating informed decision-making and efficient recruitment processes within the New York City governmental sector.

https://media.giphy.com/media/ccWnirowyT2U9wdBdI/giphy.gif?cid=790b7611tsydfxw7vpya9jyo6guscb7r09116l6a0pgcq6ds&ep=v1_gifs_search&rid=giphy.gif&ct=g" alt="">

Job ID: Unique identifier for each job posting.

Agency: Governmental organization or department responsible for the job posting.

Posting Type: Indicates whether the posting is internal or external.

# Of Positions: Number of vacancies available for the position.

Business Title: Job title used within the agency.

Civil Service Title: Official civil service title assigned to the position.

Title Classification: Classification level of the title (e.g., Competitive, Non-Competitive).

Title Code No: Code assigned to the title for organizational purposes.

Level: Level of the position within the organizational hierarchy.

Job Category: Category or field of work the position falls under.

Full-Time/Part-Time Indicator: Indicates whether the position is full-time or part-time.

Career Level: Indicates the career level or experience required for the position.

Salary Range From: Starting salary range for the position.

Salary Range To: Ending salary range for the position.

Salary Frequency: Frequency at which the salary is paid (e.g., Annual, Hourly).

Work Location: Location where the job will be based.

Division/Work Unit: Specific division or unit within the agency where the position is located.

Job Description: Description of the duties and responsibilities associated with the position.

Minimum Qual Requirements: Minimum qualifications required for the position.

Preferred Skills: Skills or qualifications preferred but not required for the position.

Additional Information: Any additional information provided about the job posting.

To Apply: Instructions on how to apply for the position.

Posting Date: Date when the job posting was initially posted.

Post Until: Date until which the job posting is active.

Posting Updated: Date when the job posting information was last updated.

Process Date: Date related to the processing of the job posting (if available).

Planimetric basemap layer containing median features, which includes medians, traffic islands, "Jersey Barriers", and painted areas that are used to separate traffic flow.

Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-planimetrics/blob/master/Capture_Rules.md.

The dataset contains a hierarchal listing of New York State counties, cities, towns, and villages, as well as official locality websites

Inmate admissions with attributes (race, gender, legal status, top charge). This data set excludes Sealed Cases. Resulting summaries may differ slightly from other published statistics.

View American Paper Newyork Corp import export trade data, including shipment records, HS codes, top buyers, suppliers, trade values, and global market insights.

This table is the primary table for information about work orders, and contains general information - including a description of the work, assigned title, request date and completion date - about each work order. Each row represents a single work order. The primary key field is EVT_CODE. The EVT_OBJECT field can be joined to the Assets table on OBJ_CODE to know which asset the work order was for.

For the User Guide, please follow this link For the Data Dictionary, please follow this link

NOTE: To review the latest plan, make sure to filter the "Report Year" column to the latest year.

Data on public websites maintained by or on behalf of the city agencies.