NYC Open Data

Close
Author
NYC OpenData
Description
Storefront Reported as Leased or Not Leased. </p> The dataset was created to comply with Local Law 157 of 2019 (November 2019). Data is collected using an online portal which allows owners to provide information about ground and second floor storefronts on their properties. </p> Each row shows a ground floor or second floor storefront that was registered with the department as being leased or not leased as of December 31 of the reporting year and as of June 30 or date sold if earlier of the calendar year immediately following the reporting year. Each row contains the property's borough, block and lot number and the storefront's street address (and zip code), either field can be used to search for individual storefronts.
Rating
Current value: 0 out of 5
Data Provided By
Department of Finance (DOF)
This view cannot be displayed
This view is currently private. You can preview it, but you will need to make it public before people will be able to see it.
Size
  • 500x425

  • 760x646

  • 950x808

Custom Size

425x425 is the minimum size

The Socrata Open Data API (SODA) provides programmatic access to this dataset including the ability to filter, query, and aggregate data. For more more information, view the API docs for this dataset or visit our developer portal

API Endpoint:

Field Names:

BOROUGH-BLOCK-LOT
borough_block_lot
PROPERTY STREET ADDRESS OR STOREFRONT ADDRESS
property_street_address_or
BOROUGH
borough
ZIP CODE
zip_code
SOLD DATE
sold_date
LEASED ON 12/31
leased_on_12_31
LEASED ON 6/30 OR DATE SOLD IF EARLIER
leased_on_6_30_or_date_sold
PRIMARY BUSINESS ACTIVITY
primary_business_activity

Use OData to open the dataset in tools like Excel or Tableau. This provides a direct connection to the data that can be refreshed on-demand within the connected application.

Socrata OData documentation

Tableau users should select the OData v2 endpoint option.

OData V4 Endpoint:

OData V2 Endpoint:

You are viewing a mobile version of this dataset. To access the full dataset, tap here.