Annual Electric Usage By Block for New York City

The map represents the total annual building energy consumption at the block level (zoom levels 11-15) and at the taxlot level (zoom levels 16-18) for New York City, and is expressed in kilowatt hours (k Wh) per square meter of land area. The data comes from a mathematical model based on statistics, not private information from utilities, to estimate the annual energy consumption values of buildings throughout the five boroughs. To see the break down of the type of energy being used, for which purpose and in what quantity, hover over or click on a block or taxlot.


All Of NYC's Affordable Housing through the Furman Center's Data Search Tool

Search all of New York City's affordable housing by name, owner, year built, location, financing or physical information (for example by # of building violations in 2010).  Or, you can research all sorts of demographic information from Crime to Education to employment to health to all sorts of housing informtion, to property tax to population, ethnic demographics and transportation.

Online Marketing Group Affordable Housing

The Furman Center for Real Estate and Urban Policy collects a broad array of data on demographics, neighborhood conditions, transportation, housing stock and other aspects of the New York City real estate market. We make our data directly available to the public through our new Data Search Tool, and publish comprehensive analyses of these data in our periodic reports.

The Data Search Tool is a new online application that provides direct access to New York City data collected by the Furman Center. Users can select from a range of variables to create customized maps, download tables, and track trends over time. Users are able to overlay never-before available information on privately-owned, publicly -subsidized housing programs collected through the Furman Center’s Subsidized Housing Information Project (SHIP). Information about how to use the Data Search Tool is available in our online guide.

Online Marketing Group Affordable Housing

From the Furman Center

Stunning Interactive Visualization of Migrant New Yorkers

via MapYourMoves


Map your moves – A visual exploration of where New Yorkers moved in the last decade


This map distills more than 4000 moves from over 1700 people, collected in an informal survey by WNYC, a New York based public radio station.

For generating the geo–coordinates from the entered ZIP codes, I used the free bulk geocoder at I did not check every single data row in detail, so a few of the moves might be misrepresented.


As most moves occurred from, to or within the New York area, this area displayed enlarged in the white circle at the center of the graphic. The rest of the world is mapped with a damped distance function, in order to fit everything into one screen without losing too to white-space.


Visual markers

Each circle corresponds to one zip code area. Its size indicates the number of moves to or from the area. legend colors Actually, it is consists of two overlaid circles: a red one for people moving out of the area, and a blue one for people moving to the area. So, a small purple circle with a thick blue outline indicates a place where people tend to move and stay, whereas a red outline indicates a less attractive place.


Click one of the circles to inspect only moves to or from this area. Or, to inspect a whole cluster of areas, drag to create a radial selection bubble. To clear your selection, click on the background. Moves to a selected place are indicated with a blue line, wheres moves from a selected place are drawn in red.



On the right, you can find some statistics on why and when people moved to the selected areas. legend bars You can directly compare the lengths of the red (for people moving away from the selected areas) and blue (for people moving to the selected areas) bars to spot trends and peculiarities. Moreover, you can compare these values to the baseline (overlaid in grey), which indicates the relative proportion when we consider at all moves. If, for instance, the blue bar for "landlord issues" is smaller than the red bar, this means that the selected area has a relatively low fraction of people moving away because of landlord issues.

Qwiki Alpha Launch - Tigho

I just was invited to Qwiki Alpha, the interactive, "information experience' platform that creates multimedia-rich wikis algorithmically out of data sets, instead of by user input and peer review!

Despite simply being fascinating and amazingly cool, Qwiki has profound implications upon the future of search and data organization.

Please note that according to Qwiki:

1. This experience was not generated by humans. It was generated by machines.

2. This experience is completely curated.

3. The experience is completely interactive

I had written about how exited I was about the possibilities of Qwiki a few weeks ago, but apparently they have now launched the Alpha version to select users. Also on Friday, Qwiki also announced a round of funding from tech-celebs Eduardo Saverin (Facebook co-founder) and Jawed-Karim (YouTube co-founder).

I cannot wait to test this out more, but see below for an entirely computer generated entry about the word "Wiki."