NYC Collaboration with OpenStreetMap
The OpenStreetMap (OSM) community is adding vital NYC OpenData to the OSM database.
While New York City is among the nation’s most dense cities, the Department of City Planning's Projected Population 2000 - 2030 dataset, available on the NYC Open Data portal, provides borough population projections that demonstrate how density differs across the five boroughs.
This graphic shows the approximate population per square mile in each borough in 2000, as well as 2030 projected population per square mile.
Independently designed and launched by Microsoft Research’s Future Social Experiences Labs’ Kati London, HereHere playfully integrates NYC Open Data offering a new perspective on NYC 311 Service Request data. HereHere aggregates non-emergency 311 requests received by phone, web, text and mobile app, into neighborhoods and departs from purely data-based visualizations by assigning a human-reaction to the top service requests. Users can click on a neighborhood to see the current status based on recent complaints as well as the top complaint from the prior year.
For example, the High Bridge neighborhood summed up recent 311 requests saying, “I feel frustrated. Ack! It’s been a while since this has come up, a few reports of wildlife sightings and a few dog off leash reports. More than I’ve seen of this in a while, and a few concerns about a restaurant.”
Each neighborhood also has a Twitter feed and a daily email summary for those who would like the information delivered. Next, Kati and her team plan to add a location-finder, so users can identify which of the 42 neighborhoods they belong to by zip code.
Follow a neighborhood by email or Twitter via the links below:
New York City is going global (and local!); in 2011, 15 New Yorkers were named Brooklyn, 15 were named Dakota, 10 were named Kenya, and 129 were named London. Though none of these names made the top twenty for either boys or girls, this graphic shows the baby names that dominated both the City and New York State.
Data for the most popular New York City names comes from the Department of Health and Mental Hygiene’s "Most Popular Baby Names by Sex and Mother’s Ethnicity" dataset, available on the NYC Open Data Portal, while data on New York State names is available on the New York State Open NY website.
The NYC Property Tax Explorer combines the Department of City Planning’s MapPLUTO data, available on NYC OpenData, with information on estimated market value, assessed value, building type, tax rate, and annual tax from NYC property tax bills.
DoITT recently updated and automated a number of datasets, including the Department of Health and Mental Health’s flu vaccine locations and farmers market locations, the Department of Sanitation’s monthly tonnages and graffiti removal, and the Taxi and Limousine Commission’s lost property and active drivers, among others. The real time information in these datasets begins to tell the story of our city – from over 2,000 medical providers participating in NYC REACH, to over 51,000 active medallion taxi drivers, and the 140 farmers markets located across the city.
Monthly Tonnages, Department of Sanitation
Graffiti Information, Department of Sanitation
Lost Property Contact Information, Taxi and Limousine Commission
Active Medallion Drivers, Taxi and Limousine Commission
Authorized Medallion Vehicles, Taxi and Limousine Commission
Seasonal Flu Vaccine Locations, Department of Health and Mental Hygiene
Farmers Markets, Department of Health and Mental Hygiene
NYC REACH (Regional Electronic Adoption Center for Health) Participants, Department of Health & Mental Hygiene
Visit the NYC OpenData portal at nyc.gov/data to access these new datasets and much more.
Photo credit: littleny
How NYC is using data to fight fires
The Wall Street Journal recently featured the New York City Fire Department’s work to reduce fires by developing targeted inspection criteria. The new predictive model synthesizes roughly 60 factors that are correlated with deadly fires, including the age of a building, electrical issues, the number of sprinklers, and the presence of elevators, and builds an algorithm that assigns each building with a risk score. Using those scores, the City is able to target inspections to buildings with the highest risk. Read the full article: ”How New York’s Fire Department Uses Data Mining”
Image: NYC fire incidents within commercial and high-rise buildings via FDNY Analytics.