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TwitterA list of all datasets that were identified for publication on NYC Open Data and their current release status. For comprehensive information on each dataset currently on NYC Open Data, please refer to Local Law 251 of 2017: Published Data Asset Inventory.
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TwitterOpen Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
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Dive into the rich dataset of New York City's yellow taxis, a treasure trove for any data scientist. This dataset is a detailed chronicle of urban mobility, capturing intricate details of each taxi trip. From temporal data points like pickup and drop-off times to spatial dimensions involving locations, this data offers a granular view of urban transit patterns. It also includes quantitative metrics like trip distance, fare composition, payment methods, and passenger counts. Provided by tech companies under the TPEP/LPEP initiatives, this data is a goldmine for analyzing urban transportation trends, fare dynamics, and passenger behavior. It's not just about taxis and their routes; it's a window into the lifeblood of the city, offering endless possibilities for data-driven insights and urban planning
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TwitterNYC REMSCO maintains a registry of AED locations required in NYC by New York State Public Health Law (namely, PAD: https://newyork.public.law/laws/n.y._public_health_law_section_3000-b). This dataset is also supplemented by AED locations throughout the NYC public school system, as documented by the NYC Department of Education (DOE). The data are collected as part of New York State mandated responsibilities for NYC REMSCO. The NYC Health Department publishes these data under local law 91 of 2023: https://intro.nyc/local-laws/2023-91
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TwitterThis dataset includes structures within NYC Parks properties. Structures are broadly defined as "an assembly of materials forming construction for occupancy or use." One line of data is a structure. The dataset contains fields that are maintained by multiple agencies including NYC Parks, NYC DoITT, and NYC Planning. Where possible, updated values are pulled from authoritative sources and updated weekly - for more details about specific fields and where they come from please see https://github.com/NYCParks-data/Structures/wiki The System ID and BIN (Building Identification Number) are both required fields. A known limitation to this dataset is that functions other than 'public restroom' and 'recreation center' can and should be attributed to many of the structures. This information will eventually live and be maintained in a related table where all the functions of individual structures can be seen. Data Dictionary here: https://docs.google.com/spreadsheets/d/17ptFZkuhrquuvSfEb2dum3Q6jNbVT98WohR-pl646o4/edit?usp=sharing
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TwitterNew 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
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TwitterA brief history of water consumption in the New York City Water Supply System (Based on New York City Census population)
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for New York County, NY (DISCONTINUED) (NETMIGNACS036061) from 2009 to 2020 about New York County, NY; migration; flow; New York; NY; Net; 5-year; and population.
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TwitterMIT Licensehttps://opensource.org/licenses/MIT
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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.
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TwitterPopulation Numbers By New York City Neighborhood Tabulation Areas The data was collected from Census Bureaus' Decennial data dissemination (SF1). Neighborhood Tabulation Areas (NTAs), are aggregations of census tracts that are subsets of New York City's 55 Public Use Microdata Areas (PUMAs). Primarily due to these constraints, NTA boundaries and their associated names may not definitively represent neighborhoods. This report shows change in population from 2000 to 2010 for each NTA. Compiled by the Population Division – New York City Department of City Planning.
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Twitterhttps://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS
A dataset listing the richest zip codes in New York per the most current US Census data, including information on rank and average income.
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TwitterThis dataset contains a dataset of dog bites in New York between 2015 and 2021 with metadata.
There is also a separate csv file attached with dog licenses. All dog owners residing in NYC are required by law to license their dogs. The data is sourced from the DOHMH Dog Licensing System (https://a816-healthpsi.nyc.gov/DogLicense), where owners can apply for and renew dog licenses. Each record represents a unique dog license that was active during the year, but not necessarily a unique record per dog, since a license that is renewed during the year results in a separate record of an active license period. Dog owners can purchase a license that is valid for one year or up to five years. The cost of the license depends on its length and whether the dog is spayed/neutered. For more information visit https://www1.nyc.gov/site/doh/services/dog-licenses.page
Foto von Kobi Kadosh auf Unsplash
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TwitterThe dataset contains a hierarchal listing of New York State counties, cities, towns, and villages, as well as official locality websites
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the New York population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of New York across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2023, the population of New York was 8.26 million, a 0.93% decrease year-by-year from 2022. Previously, in 2022, New York population was 8.34 million, a decline of 1.49% compared to a population of 8.46 million in 2021. Over the last 20 plus years, between 2000 and 2023, population of New York increased by 242,826. In this period, the peak population was 8.74 million in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
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 New York Population by Year. You can refer the same here
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Graph and download economic data for Civilian Labor Force in New York County, NY (NYNEWY1LFN) from Jan 1990 to Sep 2025 about New York County, NY; New York; civilian; NY; labor force; labor; and USA.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Do you want to know what it's like to stay in an Airbnb listing in New York City? Do you want to hear about people's first-hand experiences with specific listings? If so, then this dataset is perfect for you!
This dataset contains user reviews for Airbnb listings in New York City. These reviews provide valuable insights into what it's actually like to stay in one of these listings. Through reading these reviews, you can get a sense of the strengths and weaknesses of each listing, as well as what type of travelers would enjoy staying there.
So whether you're looking for somewhere to stay on your next trip to New York City, or just curious about what others think of Airbnb listings there, this dataset is sure to be helpful!
User reviews are a valuable source of information for research purposes as they provide first-hand accounts of people's experiences with a given product or service. In this case, the product is an Airbnb listing in New York City.
The dataset contains reviews for Airbnb listings in NYC. Each row corresponds to a review, and each column corresponds to an attribute of the review (e.g., the date it was posted, the listing URL, etc.).
To get started with this dataset, you may want to explore some of the following questions: - What are people saying about Airbnb listings in NYC? - Are there any common themes or topics that come up in the reviews? - Do certain listings have more positive or negative reviews than others?
- User reviews can be used to study customer satisfaction with Airbnb listings in New York City.
- User reviews can be used to study customer expectations of Airbnb listings in New York City.
- User reviews can be used to study the most popular features of Airbnb listings in New York City
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
File: NYC_2021_airbnb_reviews_data1.csv | Column name | Description | |:-----------------------|:--------------------------------------------------| | url | The URL of the Airbnb listing. (String) | | review_posted_date | The date on which the review was posted. (String) |
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Graph and download economic data for Unemployment Rate in New York County, NY (NYNEWY1URN) from Jan 1990 to Sep 2025 about New York County, NY; New York; NY; unemployment; rate; and USA.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Directory of food and beverage venues in the Times Square area
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!
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.
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TwitterCheckbook NYC 2.0 provides unprecedented access to view and track how New York City government spends its nearly $70 billion annual budget.
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TwitterThis dataset includes information on the number of positive tests of individuals for COVID-19 infection performed in New York State beginning March 1, 2020, when the first case of COVID-19 was identified in the state. The primary goal of publishing this dataset is to provide users timely information about local disease spread and reporting of positive cases. The data will be updated daily, reflecting tests reported by 12:00 am (midnight) three days prior. Data are published on a three-day lag in order to allow all test results to be reported.
Reporting of SARS-CoV2 laboratory testing results is mandated under Part 2 of the New York State Sanitary Code. Clinical laboratories, as defined in Public Health Law (PHL) § 571 electronically report test results to the New York State Department of Health (DOH) via the Electronic Clinical Laboratory Reporting System (ECLRS). The DOH Division of Epidemiology’s Bureau of Surveillance and Data System (BSDS) monitors ECLRS reporting and ensures that all results are accurate.
Test counts are based on specimen collection date. A person may have multiple specimens tested on one day, these would be counted one time, i.e., if two specimens are collected from an individual at the same time and then evaluated, the outcome of the evaluation of those two samples to diagnose the individual is counted as a single test of one person, even though the specimens may be tested separately. All positive test results that are at least 90 days apart are counted as cases/new positives.
New positive test counts are assigned to a county based on this order of preference: 1) the patient’s address, 2) the ordering healthcare provider/campus address, or 3) the ordering facility/campus address.
Archived versions of the reinfections dataset are also available: First infections - https://health.data.ny.gov/d/xdss-u53e Reinfections - https://health.data.ny.gov/d/7aaj-cdtu
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset was created by Silvester Opondo
Released under CC0: Public Domain
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TwitterA list of all datasets that were identified for publication on NYC Open Data and their current release status. For comprehensive information on each dataset currently on NYC Open Data, please refer to Local Law 251 of 2017: Published Data Asset Inventory.