In this blog post, we will explore neighborhoods in New York City using the Foursquare API. We will get the most common venue categories in each neighborhood, and then using the k-means clustering algorithm, group the neighborhoods into clusters.
import numpy as np # library to handle data in a vectorized manner
import pandas as pd # library for data analysis
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
import json # library to handle JSON files
# !conda install -c conda-forge geopy --yes
from geopy.geocoders import Nominatim # convert an address into latitude and longitude values
import requests # library to handle requests
from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe
# Matplotlib and associated plotting modules
import matplotlib.cm as cm
import matplotlib.colors as colors
# import k-means from clustering stage
from sklearn.cluster import KMeans
# !conda install -c conda-forge folium=0.5.0 --yes
import folium # map rendering library
print('Libraries imported.')Libraries imported.Explore the data
# download the data from a server
!wget -q -O 'newyork_data.json' https://cocl.us/new_york_dataset
print('Data downloaded.')Data downloaded.# load the data
with open('newyork_data.json') as json_data:
newyork_data = json.load(json_data)#collapse-output
# explore the data
newyork_data{'bbox': [-74.2492599487305,
40.5033187866211,
-73.7061614990234,
40.9105606079102],
'crs': {'properties': {'name': 'urn:ogc:def:crs:EPSG::4326'}, 'type': 'name'},
'features': [{'geometry': {'coordinates': [-73.84720052054902,
40.89470517661],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.1',
'properties': {'annoangle': 0.0,
'annoline1': 'Wakefield',
'annoline2': None,
'annoline3': None,
'bbox': [-73.84720052054902,
40.89470517661,
-73.84720052054902,
40.89470517661],
'borough': 'Bronx',
'name': 'Wakefield',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.82993910812398, 40.87429419303012],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.2',
'properties': {'annoangle': 0.0,
'annoline1': 'Co-op',
'annoline2': 'City',
'annoline3': None,
'bbox': [-73.82993910812398,
40.87429419303012,
-73.82993910812398,
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'borough': 'Bronx',
'name': 'Co-op City',
'stacked': 2},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.82780644716412, 40.887555677350775],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.3',
'properties': {'annoangle': 0.0,
'annoline1': 'Eastchester',
'annoline2': None,
'annoline3': None,
'bbox': [-73.82780644716412,
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-73.82780644716412,
40.887555677350775],
'borough': 'Bronx',
'name': 'Eastchester',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.90564259591682, 40.89543742690383],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.4',
'properties': {'annoangle': 0.0,
'annoline1': 'Fieldston',
'annoline2': None,
'annoline3': None,
'bbox': [-73.90564259591682,
40.89543742690383,
-73.90564259591682,
40.89543742690383],
'borough': 'Bronx',
'name': 'Fieldston',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.9125854610857, 40.890834493891305],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.5',
'properties': {'annoangle': 0.0,
'annoline1': 'Riverdale',
'annoline2': None,
'annoline3': None,
'bbox': [-73.9125854610857,
40.890834493891305,
-73.9125854610857,
40.890834493891305],
'borough': 'Bronx',
'name': 'Riverdale',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.90281798724604, 40.88168737120521],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.6',
'properties': {'annoangle': 0.0,
'annoline1': 'Kingsbridge',
'annoline2': None,
'annoline3': None,
'bbox': [-73.90281798724604,
40.88168737120521,
-73.90281798724604,
40.88168737120521],
'borough': 'Bronx',
'name': 'Kingsbridge',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.91065965862981, 40.87655077879964],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.7',
'properties': {'annoangle': 0.0,
'annoline1': 'Marble',
'annoline2': 'Hill',
'annoline3': None,
'bbox': [-73.91065965862981,
40.87655077879964,
-73.91065965862981,
40.87655077879964],
'borough': 'Manhattan',
'name': 'Marble Hill',
'stacked': 2},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.86731496814176, 40.89827261213805],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.8',
'properties': {'annoangle': 0.0,
'annoline1': 'Woodlawn',
'annoline2': None,
'annoline3': None,
'bbox': [-73.86731496814176,
40.89827261213805,
-73.86731496814176,
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'borough': 'Bronx',
'name': 'Woodlawn',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.8793907395681, 40.87722415599446],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.9',
'properties': {'annoangle': 0.0,
'annoline1': 'Norwood',
'annoline2': None,
'annoline3': None,
'bbox': [-73.8793907395681,
40.87722415599446,
-73.8793907395681,
40.87722415599446],
'borough': 'Bronx',
'name': 'Norwood',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.85744642974207, 40.88103887819211],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.10',
'properties': {'annoangle': 0.0,
'annoline1': 'Williamsbridge',
'annoline2': None,
'annoline3': None,
'bbox': [-73.85744642974207,
40.88103887819211,
-73.85744642974207,
40.88103887819211],
'borough': 'Bronx',
'name': 'Williamsbridge',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.83579759808117, 40.866858107252696],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.11',
'properties': {'annoangle': 0.0,
'annoline1': 'Baychester',
'annoline2': None,
'annoline3': None,
'bbox': [-73.83579759808117,
40.866858107252696,
-73.83579759808117,
40.866858107252696],
'borough': 'Bronx',
'name': 'Baychester',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.85475564017999, 40.85741349808865],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.12',
'properties': {'annoangle': 0.0,
'annoline1': 'Pelham Parkway',
'annoline2': None,
'annoline3': None,
'bbox': [-73.85475564017999,
40.85741349808865,
-73.85475564017999,
40.85741349808865],
'borough': 'Bronx',
'name': 'Pelham Parkway',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.78648845267413, 40.84724670491813],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.13',
'properties': {'annoangle': 0.0,
'annoline1': 'City',
'annoline2': 'Island',
'annoline3': None,
'bbox': [-73.78648845267413,
40.84724670491813,
-73.78648845267413,
40.84724670491813],
'borough': 'Bronx',
'name': 'City Island',
'stacked': 2},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.8855121841913, 40.870185164975325],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.14',
'properties': {'annoangle': 0.0,
'annoline1': 'Bedford',
'annoline2': 'Park',
'annoline3': None,
'bbox': [-73.8855121841913,
40.870185164975325,
-73.8855121841913,
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'borough': 'Bronx',
'name': 'Bedford Park',
'stacked': 2},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.9104159619131, 40.85572707719664],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.15',
'properties': {'annoangle': 0.0,
'annoline1': 'University',
'annoline2': 'Heights',
'annoline3': None,
'bbox': [-73.9104159619131,
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-73.9104159619131,
40.85572707719664],
'borough': 'Bronx',
'name': 'University Heights',
'stacked': 2},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.91967159119565, 40.84789792606271],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.16',
'properties': {'annoangle': 0.0,
'annoline1': 'Morris',
'annoline2': 'Heights',
'annoline3': None,
'bbox': [-73.91967159119565,
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'borough': 'Bronx',
'name': 'Morris Heights',
'stacked': 2},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.89642655981623, 40.86099679638654],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.17',
'properties': {'annoangle': 0.0,
'annoline1': 'Fordham',
'annoline2': None,
'annoline3': None,
'bbox': [-73.89642655981623,
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-73.89642655981623,
40.86099679638654],
'borough': 'Bronx',
'name': 'Fordham',
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'type': 'Feature'},
{'geometry': {'coordinates': [-73.88735617532338, 40.84269615786053],
'type': 'Point'},
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'properties': {'annoangle': 0.0,
'annoline1': 'East',
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'bbox': [-73.88735617532338,
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'borough': 'Bronx',
'name': 'East Tremont',
'stacked': 2},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.87774474910545, 40.83947505672653],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.19',
'properties': {'annoangle': 0.0,
'annoline1': 'West',
'annoline2': 'Farms',
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'bbox': [-73.87774474910545,
40.83947505672653,
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'borough': 'Bronx',
'name': 'West Farms',
'stacked': 2},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.9261020935813, 40.836623010706056],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.20',
'properties': {'annoangle': 0.0,
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'type': 'Feature'},
{'geometry': {'coordinates': [-73.90942160757436, 40.819754370594936],
'type': 'Point'},
'geometry_name': 'geom',
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'annoline3': None,
'bbox': [-73.90942160757436,
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'borough': 'Bronx',
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'type': 'Feature'},
{'geometry': {'coordinates': [-73.91609987487575, 40.80623874935177],
'type': 'Point'},
'geometry_name': 'geom',
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'properties': {'annoangle': 0.0,
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'type': 'Feature'},
{'geometry': {'coordinates': [-73.91322139386135, 40.801663627756206],
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'type': 'Feature'},
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'type': 'Feature'},
{'geometry': {'coordinates': [-73.81388514428619, 40.821986118163494],
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'annoline2': 'Valley',
'annoline3': None,
'bbox': [-74.22957080626941,
40.51954145748909,
-74.22957080626941,
40.51954145748909],
'borough': 'Staten Island',
'name': 'Richmond Valley',
'stacked': 2},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.82667757138641, 40.79060155670148],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.295',
'properties': {'annoangle': 0.0,
'annoline1': 'Malba',
'annoline2': None,
'annoline3': None,
'bbox': [-73.82667757138641,
40.79060155670148,
-73.82667757138641,
40.79060155670148],
'borough': 'Queens',
'name': 'Malba',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.890345709872, 40.6819989345173],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.296',
'properties': {'annoangle': 0.0,
'annoline1': 'Highland',
'annoline2': 'Park',
'annoline3': None,
'bbox': [-73.890345709872,
40.6819989345173,
-73.890345709872,
40.6819989345173],
'borough': 'Brooklyn',
'name': 'Highland Park',
'stacked': 2},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.94841515328893, 40.60937770113766],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.297',
'properties': {'annoangle': 0.0,
'annoline1': 'Madison',
'annoline2': None,
'annoline3': None,
'bbox': [-73.94841515328893,
40.60937770113766,
-73.94841515328893,
40.60937770113766],
'borough': 'Brooklyn',
'name': 'Madison',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.86172577555115, 40.85272297633017],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.298',
'properties': {'annoangle': 0.0,
'annoline1': 'Bronxdale',
'annoline2': None,
'annoline3': None,
'bbox': [-73.86172577555115,
40.85272297633017,
-73.86172577555115,
40.85272297633017],
'borough': 'Bronx',
'name': 'Bronxdale',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.85931863221647, 40.86578787802982],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.299',
'properties': {'annoangle': 0.0,
'annoline1': 'Allerton',
'annoline2': None,
'annoline3': None,
'bbox': [-73.85931863221647,
40.86578787802982,
-73.85931863221647,
40.86578787802982],
'borough': 'Bronx',
'name': 'Allerton',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.90152264513144, 40.8703923914147],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.300',
'properties': {'annoangle': 0.0,
'annoline1': 'Kingsbridge',
'annoline2': 'Heights',
'annoline3': None,
'bbox': [-73.90152264513144,
40.8703923914147,
-73.90152264513144,
40.8703923914147],
'borough': 'Bronx',
'name': 'Kingsbridge Heights',
'stacked': 2},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.94817709920184, 40.64692606658579],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.301',
'properties': {'annoangle': 0.0,
'annoline1': 'Erasmus',
'annoline2': None,
'annoline3': None,
'bbox': [-73.94817709920184,
40.64692606658579,
-73.94817709920184,
40.64692606658579],
'borough': 'Brooklyn',
'name': 'Erasmus',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-74.00011136202637, 40.75665808227519],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.302',
'properties': {'annoangle': 0.0,
'annoline1': 'Hudson',
'annoline2': 'Yards',
'annoline3': None,
'bbox': [-74.00011136202637,
40.75665808227519,
-74.00011136202637,
40.75665808227519],
'borough': 'Manhattan',
'name': 'Hudson Yards',
'stacked': 2},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.80553002968718, 40.58733774018741],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.303',
'properties': {'annoangle': 0.0,
'annoline1': 'Hammels',
'annoline2': None,
'annoline3': None,
'bbox': [-73.80553002968718,
40.58733774018741,
-73.80553002968718,
40.58733774018741],
'borough': 'Queens',
'name': 'Hammels',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.76596781445627, 40.611321691283834],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.304',
'properties': {'annoangle': 0.0,
'annoline1': 'Bayswater',
'annoline2': None,
'annoline3': None,
'bbox': [-73.76596781445627,
40.611321691283834,
-73.76596781445627,
40.611321691283834],
'borough': 'Queens',
'name': 'Bayswater',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-73.94563070334091, 40.756091297094706],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.305',
'properties': {'annoangle': 0.0,
'annoline1': 'Queensbridge',
'annoline2': None,
'annoline3': None,
'bbox': [-73.94563070334091,
40.756091297094706,
-73.94563070334091,
40.756091297094706],
'borough': 'Queens',
'name': 'Queensbridge',
'stacked': 1},
'type': 'Feature'},
{'geometry': {'coordinates': [-74.08173992211962, 40.61731079252983],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.306',
'properties': {'annoangle': 0.0,
'annoline1': 'Fox',
'annoline2': 'Hills',
'annoline3': None,
'bbox': [-74.08173992211962,
40.61731079252983,
-74.08173992211962,
40.61731079252983],
'borough': 'Staten Island',
'name': 'Fox Hills',
'stacked': 2},
'type': 'Feature'}],
'totalFeatures': 306,
'type': 'FeatureCollection'}All the relevant data is in the features key, which is basically a list of the neighborhoods.
Let’s define a new variable that includes this data.
neighborhoods_data = newyork_data['features']Let’s check the first item in the list.
neighborhoods_data[0]{'geometry': {'coordinates': [-73.84720052054902, 40.89470517661],
'type': 'Point'},
'geometry_name': 'geom',
'id': 'nyu_2451_34572.1',
'properties': {'annoangle': 0.0,
'annoline1': 'Wakefield',
'annoline2': None,
'annoline3': None,
'bbox': [-73.84720052054902,
40.89470517661,
-73.84720052054902,
40.89470517661],
'borough': 'Bronx',
'name': 'Wakefield',
'stacked': 1},
'type': 'Feature'}Transform the data into a pandas dataframe
We will essentially be transforming this data of nested Python dictionaries into a pandas dataframe.
Let’s start by creating an empty dataframe.
# define the dataframe columns
column_names = ['Borough', 'Neighborhood', 'Latitude', 'Longitude']
# instantiate the dataframe
neighborhoods = pd.DataFrame(columns=column_names)# empty dataframe
neighborhoods| Borough | Neighborhood | Latitude | Longitude |
|---|
Let’s loop through the data and fill the dataframe one row at a time.
for data in neighborhoods_data:
borough = neighborhood_name = data['properties']['borough']
neighborhood_name = data['properties']['name']
neighborhood_latlon = data['geometry']['coordinates']
neighborhood_lat = neighborhood_latlon[1]
neighborhood_lon = neighborhood_latlon[0]
neighborhoods = neighborhoods.append({'Borough': borough,
'Neighborhood': neighborhood_name,
'Latitude': neighborhood_lat,
'Longitude': neighborhood_lon}, ignore_index=True)# examine the dataframe
neighborhoods.head()| Borough | Neighborhood | Latitude | Longitude | |
|---|---|---|---|---|
| 0 | Bronx | Wakefield | 40.894705 | -73.847201 |
| 1 | Bronx | Co-op City | 40.874294 | -73.829939 |
| 2 | Bronx | Eastchester | 40.887556 | -73.827806 |
| 3 | Bronx | Fieldston | 40.895437 | -73.905643 |
| 4 | Bronx | Riverdale | 40.890834 | -73.912585 |
# check whether the dataframe has all 5 boroughs and 306 neighborhoods
print('The dataframe has {} boroughs and {} neighborhoods.'.format(
len(neighborhoods['Borough'].unique()), neighborhoods.shape[0]))The dataframe has 5 boroughs and 306 neighborhoods.Visualize the data
We will use the geopy library to get the latitude and longitude values of New York City.
In order to define an instance of the geocoder, we need to define a user_agent.
address = 'New York City, NY'
geolocator = Nominatim(user_agent='ny_explorer')
location = geolocator.geocode(address)
latitude = location.latitude
longitude = location.longitude
print('The geographical coordinates of New York City are {}, {}.'.format(latitude, longitude))The geographical coordinates of New York City are 40.7127281, -74.0060152.Let’s create a map of New York with the neighborhoods superimposed on top.
# create map of New York using latitude and longitude values
map_newyork = folium.Map(location=[latitude, longitude], zoom_start=11)
# add markers to map
for lat, lng, borough, neighborhood in zip(neighborhoods['Latitude'], neighborhoods['Longitude'], neighborhoods['Borough'], neighborhoods['Neighborhood']):
label = '{}, {}'.format(neighborhood, borough)
label = folium.Popup(label, parse_html=True)
folium.CircleMarker(
[lat, lng],
radius=5,
popup=label,
color='blue',
fill=True,
fill_color='#3186cc',
fill_opacity=0.7,
parse_html=False).add_to(map_newyork)
map_newyork[]nyc_map1.jpg
You can zoom into the above map, and click on each circle mark to reveal the name of the neighborhood and its respective borough.
Let’s simplify the above map, and segment and cluster only the neighborhoods in Manhattan. We will slice the original dataframe and create a new dataframe of the Manhattan data.
manhattan_data = neighborhoods[neighborhoods['Borough'] == 'Manhattan'].reset_index(drop=True)
manhattan_data.head()| Borough | Neighborhood | Latitude | Longitude | |
|---|---|---|---|---|
| 0 | Manhattan | Marble Hill | 40.876551 | -73.910660 |
| 1 | Manhattan | Chinatown | 40.715618 | -73.994279 |
| 2 | Manhattan | Washington Heights | 40.851903 | -73.936900 |
| 3 | Manhattan | Inwood | 40.867684 | -73.921210 |
| 4 | Manhattan | Hamilton Heights | 40.823604 | -73.949688 |
Let’s get the geographiical coordinates of Manhattan.
address = 'Manhattan, NY'
geolocator = Nominatim(user_agent='ny_explorer')
location = geolocator.geocode(address)
latitude = location.latitude
longitude = location.longitude
print('The geographical coordinates of Manhattan are {}, {}.'.format(latitude, longitude))The geographical coordinates of Manhattan are 40.7896239, -73.9598939.Let’s visualize the neighborhoods in Manhattan.
# create a map of Manhattan using latitude and longitude values
map_manhattan = folium.Map(location=[latitude, longitude], zoom_start=12)
# add markers to map
for lat, lng, label in zip(manhattan_data['Latitude'], manhattan_data['Longitude'], manhattan_data['Neighborhood']):
label = folium.Popup(label, parse_html=True)
folium.CircleMarker(
[lat, lng],
radius=5,
popup=label,
color='blue',
fill=True,
fill_color='#3186cc',
fill_opacity=0.7,
parse_html=False).add_to(map_manhattan)
map_manhattan
Explore the neighborhoods in Manhattan
We will utilize the Foursquare API to explore the neighborhoods and segment them.
# define Foursquare Credentials
CLIENT_ID = 'B50RYBOWHJ3ZMRVEFTLHJCXGOYNCXGI13VDT5FMYTUQSUTQC'
CLIENT_SECRET = 'ST2IN4ZGOQ3BXEWJ2HW1LKUML2BBGK1JX1QD2WKEPET31W4W'
VERSION = '20191219'Explore the first neighborhood in our dataframe.
# get the neighborhood's name
manhattan_data.loc[0, 'Neighborhood']'Marble Hill'# get the neighborhood's latitude and longitude values
neighborhood_latitude = manhattan_data.loc[0, 'Latitude'] # neighborhood latitude value
neighborhood_longitude = manhattan_data.loc[0,'Longitude'] #neighborhood longitude value
neighborhood_name = manhattan_data.loc[0, 'Neighborhood'] # neighborhood name
print('The geographical coordinates of {} are {}, {}.'.format(neighborhood_name, neighborhood_latitude, neighborhood_longitude))The geographical coordinates of Marble Hill are 40.87655077879964, -73.91065965862981.Let’s get the top 100 venues that are in Marble Hill within a radius of 500 meters.
First, create the GET request URL.
# limit the number of venues returned by the foursquare API
LIMIT = 100
# define radius
radius = 500
# Create URL
url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(
CLIENT_ID, CLIENT_SECRET, VERSION, neighborhood_latitude, neighborhood_longitude, radius, LIMIT)
# display URL
url'https://api.foursquare.com/v2/venues/explore?&client_id=B50RYBOWHJ3ZMRVEFTLHJCXGOYNCXGI13VDT5FMYTUQSUTQC&client_secret=ST2IN4ZGOQ3BXEWJ2HW1LKUML2BBGK1JX1QD2WKEPET31W4W&v=20191219&ll=40.87655077879964,-73.91065965862981&radius=500&limit=100'Send the GET request and examine the results.
#collapse-output
results = requests.get(url).json()
results{'meta': {'code': 200, 'requestId': '5e68ce37618f43001c2e7a8e'},
'response': {'groups': [{'items': [{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4b4429abf964a52037f225e3-0',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/pizza_',
'suffix': '.png'},
'id': '4bf58dd8d48988d1ca941735',
'name': 'Pizza Place',
'pluralName': 'Pizza Places',
'primary': True,
'shortName': 'Pizza'}],
'delivery': {'id': '72548',
'provider': {'icon': {'name': '/delivery_provider_seamless_20180129.png',
'prefix': 'https://fastly.4sqi.net/img/general/cap/',
'sizes': [40, 50]},
'name': 'seamless'},
'url': 'https://www.seamless.com/menu/arturos-pizza-5189-broadway-ave-new-york/72548?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=72548'},
'id': '4b4429abf964a52037f225e3',
'location': {'address': '5198 Broadway',
'cc': 'US',
'city': 'New York',
'country': 'United States',
'crossStreet': 'at 225th St.',
'distance': 240,
'formattedAddress': ['5198 Broadway (at 225th St.)',
'New York, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.87441177110231,
'lng': -73.91027100981574}],
'lat': 40.87441177110231,
'lng': -73.91027100981574,
'postalCode': '10463',
'state': 'NY'},
'name': "Arturo's",
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4baf59e8f964a520a6f93be3-1',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/gym_yogastudio_',
'suffix': '.png'},
'id': '4bf58dd8d48988d102941735',
'name': 'Yoga Studio',
'pluralName': 'Yoga Studios',
'primary': True,
'shortName': 'Yoga Studio'}],
'id': '4baf59e8f964a520a6f93be3',
'location': {'address': '5500 Broadway',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'crossStreet': '230th Street',
'distance': 376,
'formattedAddress': ['5500 Broadway (230th Street)',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.876843690797934,
'lng': -73.90620384419528}],
'lat': 40.876843690797934,
'lng': -73.90620384419528,
'postalCode': '10463',
'state': 'NY'},
'name': 'Bikram Yoga',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4b79cc46f964a520c5122fe3-2',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/diner_',
'suffix': '.png'},
'id': '4bf58dd8d48988d147941735',
'name': 'Diner',
'pluralName': 'Diners',
'primary': True,
'shortName': 'Diner'}],
'id': '4b79cc46f964a520c5122fe3',
'location': {'address': '3033 Tibbett Ave',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'crossStreet': 'btwn 230th & 231st',
'distance': 452,
'formattedAddress': ['3033 Tibbett Ave (btwn 230th & 231st)',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.8804044222466,
'lng': -73.90893738006402}],
'lat': 40.8804044222466,
'lng': -73.90893738006402,
'postalCode': '10463',
'state': 'NY'},
'name': 'Tibbett Diner',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4b5357adf964a520319827e3-3',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/donuts_',
'suffix': '.png'},
'id': '4bf58dd8d48988d148941735',
'name': 'Donut Shop',
'pluralName': 'Donut Shops',
'primary': True,
'shortName': 'Donuts'}],
'id': '4b5357adf964a520319827e3',
'location': {'address': '5501 Broadway',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'crossStreet': 'W 230th St',
'distance': 342,
'formattedAddress': ['5501 Broadway (W 230th St)',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.87713584201589,
'lng': -73.90666550701411}],
'lat': 40.87713584201589,
'lng': -73.90666550701411,
'postalCode': '10463',
'state': 'NY'},
'name': "Dunkin'",
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-55f81cd2498ee903149fcc64-4',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_',
'suffix': '.png'},
'id': '4bf58dd8d48988d1e0931735',
'name': 'Coffee Shop',
'pluralName': 'Coffee Shops',
'primary': True,
'shortName': 'Coffee Shop'}],
'id': '55f81cd2498ee903149fcc64',
'location': {'address': '171 W 230th St',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'crossStreet': 'Kimberly Pl',
'distance': 441,
'formattedAddress': ['171 W 230th St (Kimberly Pl)',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.87753134921497,
'lng': -73.90558216359267}],
'lat': 40.87753134921497,
'lng': -73.90558216359267,
'postalCode': '10463',
'state': 'NY'},
'name': 'Starbucks',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4cf6ae55d3a8a1cd71a9d243-5',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',
'suffix': '.png'},
'id': '4bf58dd8d48988d176941735',
'name': 'Gym',
'pluralName': 'Gyms',
'primary': True,
'shortName': 'Gym'}],
'id': '4cf6ae55d3a8a1cd71a9d243',
'location': {'address': '5500 Broadway',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'crossStreet': '230th St',
'distance': 361,
'formattedAddress': ['5500 Broadway (230th St)',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.87670526507199,
'lng': -73.90637207670373}],
'lat': 40.87670526507199,
'lng': -73.90637207670373,
'postalCode': '10463',
'state': 'NY'},
'name': 'Astral Fitness & Wellness Center',
'photos': {'count': 0, 'groups': []},
'venuePage': {'id': '75803748'}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-55f751ca498eacc0307d1cfe-6',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',
'suffix': '.png'},
'id': '4bf58dd8d48988d176941735',
'name': 'Gym',
'pluralName': 'Gyms',
'primary': True,
'shortName': 'Gym'}],
'id': '55f751ca498eacc0307d1cfe',
'location': {'address': '5520 Broadway',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'crossStreet': 'at W 230th St',
'distance': 433,
'formattedAddress': ['5520 Broadway (at W 230th St)',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.877271495944626,
'lng': -73.90559491338075}],
'lat': 40.877271495944626,
'lng': -73.90559491338075,
'neighborhood': 'Kingsbridge',
'postalCode': '10463',
'state': 'NY'},
'name': 'Blink Fitness',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-546d31ca498e561c698a0320-7',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/departmentstore_',
'suffix': '.png'},
'id': '4bf58dd8d48988d1f6941735',
'name': 'Department Store',
'pluralName': 'Department Stores',
'primary': True,
'shortName': 'Department Store'}],
'id': '546d31ca498e561c698a0320',
'location': {'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'distance': 478,
'formattedAddress': ['Bronx, NY', 'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.87723198343352,
'lng': -73.90504239962168}],
'lat': 40.87723198343352,
'lng': -73.90504239962168,
'state': 'NY'},
'name': 'T.J. Maxx',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4b9c9c6af964a520b27236e3-8',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/seafood_',
'suffix': '.png'},
'id': '4bf58dd8d48988d1ce941735',
'name': 'Seafood Restaurant',
'pluralName': 'Seafood Restaurants',
'primary': True,
'shortName': 'Seafood'}],
'delivery': {'id': '277380',
'provider': {'icon': {'name': '/delivery_provider_seamless_20180129.png',
'prefix': 'https://fastly.4sqi.net/img/general/cap/',
'sizes': [40, 50]},
'name': 'seamless'},
'url': 'https://www.seamless.com/menu/land--sea-restaurant-5535-broadway-ave-bronx/277380?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=277380'},
'id': '4b9c9c6af964a520b27236e3',
'location': {'address': '5535 Broadway',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'crossStreet': '231st St',
'distance': 429,
'formattedAddress': ['5535 Broadway (231st St)',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.87788463309788,
'lng': -73.90587282193539}],
'lat': 40.87788463309788,
'lng': -73.90587282193539,
'postalCode': '10463',
'state': 'NY'},
'name': 'Land & Sea Restaurant',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4a725fa1f964a520f6da1fe3-9',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/arts_entertainment/stadium_tennis_',
'suffix': '.png'},
'id': '4e39a891bd410d7aed40cbc2',
'name': 'Tennis Stadium',
'pluralName': 'Tennis Stadiums',
'primary': True,
'shortName': 'Tennis'}],
'id': '4a725fa1f964a520f6da1fe3',
'location': {'address': '2600 Netherland Ave',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'distance': 402,
'formattedAddress': ['2600 Netherland Ave',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.8786283,
'lng': -73.9145678}],
'lat': 40.8786283,
'lng': -73.9145678,
'postalCode': '10463',
'state': 'NY'},
'name': 'TCR The Club of Riverdale',
'photos': {'count': 0, 'groups': []},
'venuePage': {'id': '40358759'}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4b88e053f964a5208a1132e3-10',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/pharmacy_',
'suffix': '.png'},
'id': '4bf58dd8d48988d10f951735',
'name': 'Pharmacy',
'pluralName': 'Pharmacies',
'primary': True,
'shortName': 'Pharmacy'}],
'id': '4b88e053f964a5208a1132e3',
'location': {'address': '5237 Broadway',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'crossStreet': '228th Street',
'distance': 190,
'formattedAddress': ['5237 Broadway (228th Street)',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.875466574434704,
'lng': -73.90890629016033}],
'lat': 40.875466574434704,
'lng': -73.90890629016033,
'postalCode': '10463',
'state': 'NY'},
'name': 'Rite Aid',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-57655be738faa66160da7527-11',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_',
'suffix': '.png'},
'id': '4bf58dd8d48988d1e0931735',
'name': 'Coffee Shop',
'pluralName': 'Coffee Shops',
'primary': True,
'shortName': 'Coffee Shop'}],
'id': '57655be738faa66160da7527',
'location': {'address': '50 W 225th St',
'cc': 'US',
'city': 'New York',
'country': 'United States',
'distance': 355,
'formattedAddress': ['50 W 225th St',
'New York, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.873754554218515,
'lng': -73.90861305343668}],
'lat': 40.873754554218515,
'lng': -73.90861305343668,
'postalCode': '10463',
'state': 'NY'},
'name': 'Starbucks',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4b9c9c43f964a520ac7236e3-12',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/discountstore_',
'suffix': '.png'},
'id': '52dea92d3cf9994f4e043dbb',
'name': 'Discount Store',
'pluralName': 'Discount Stores',
'primary': True,
'shortName': 'Discount Store'}],
'id': '4b9c9c43f964a520ac7236e3',
'location': {'address': '5545 Broadway',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'crossStreet': '231st St',
'distance': 492,
'formattedAddress': ['5545 Broadway (231st St)',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.878270422202085,
'lng': -73.9052646742604}],
'lat': 40.878270422202085,
'lng': -73.9052646742604,
'postalCode': '10463',
'state': 'NY'},
'name': 'Lot Less Closeouts',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-5631194e498e2de074de661c-13',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/education/lab_',
'suffix': '.png'},
'id': '5744ccdfe4b0c0459246b4cd',
'name': 'Supplement Shop',
'pluralName': 'Supplement Shops',
'primary': True,
'shortName': 'Supplement Shop'}],
'id': '5631194e498e2de074de661c',
'location': {'address': '5510 Broadway',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'distance': 428,
'formattedAddress': ['5510 Broadway',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.87716,
'lng': -73.905632}],
'lat': 40.87716,
'lng': -73.905632,
'postalCode': '10463',
'state': 'NY'},
'name': 'Vitamin Shoppe',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4e4e4517bd4101d0d7a67568-14',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/icecream_',
'suffix': '.png'},
'id': '4bf58dd8d48988d1c9941735',
'name': 'Ice Cream Shop',
'pluralName': 'Ice Cream Shops',
'primary': True,
'shortName': 'Ice Cream'}],
'id': '4e4e4517bd4101d0d7a67568',
'location': {'address': '5501 Broadway',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'distance': 343,
'formattedAddress': ['5501 Broadway',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.87714929478882,
'lng': -73.90665810372622}],
'lat': 40.87714929478882,
'lng': -73.90665810372622,
'postalCode': '10463',
'state': 'NY'},
'name': 'Baskin-Robbins',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-56229ff8498e2abb44b6f12b-15',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/default_',
'suffix': '.png'},
'id': '4bf58dd8d48988d1ff941735',
'name': 'Miscellaneous Shop',
'pluralName': 'Miscellaneous Shops',
'primary': True,
'shortName': 'Shop'}],
'id': '56229ff8498e2abb44b6f12b',
'location': {'address': '171 W 230th St',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'distance': 487,
'formattedAddress': ['171 W 230th St',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.8772564,
'lng': -73.9049384}],
'lat': 40.8772564,
'lng': -73.9049384,
'postalCode': '10463',
'state': 'NY'},
'name': 'Five Below',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-585c205665e7c70a2f1055ea-16',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/default_',
'suffix': '.png'},
'id': '4bf58dd8d48988d14e941735',
'name': 'American Restaurant',
'pluralName': 'American Restaurants',
'primary': True,
'shortName': 'American'}],
'delivery': {'id': '1436334',
'provider': {'icon': {'name': '/delivery_provider_seamless_20180129.png',
'prefix': 'https://fastly.4sqi.net/img/general/cap/',
'sizes': [40, 50]},
'name': 'seamless'},
'url': 'https://www.seamless.com/menu/boston-market-5520-broadway-bronx/1436334?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=1436334'},
'id': '585c205665e7c70a2f1055ea',
'location': {'address': '5520 Broadway',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'distance': 452,
'formattedAddress': ['5520 Broadway',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.87743,
'lng': -73.9054121}],
'lat': 40.87743,
'lng': -73.9054121,
'postalCode': '10463',
'state': 'NY'},
'name': 'Boston Market',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4e4ce4debd413c4cc66d05d0-17',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/deli_',
'suffix': '.png'},
'id': '4bf58dd8d48988d1c5941735',
'name': 'Sandwich Place',
'pluralName': 'Sandwich Places',
'primary': True,
'shortName': 'Sandwiches'}],
'delivery': {'id': '774886',
'provider': {'icon': {'name': '/delivery_provider_seamless_20180129.png',
'prefix': 'https://fastly.4sqi.net/img/general/cap/',
'sizes': [40, 50]},
'name': 'seamless'},
'url': 'https://www.seamless.com/menu/subway-5549-broadway-bronx/774886?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=774886'},
'id': '4e4ce4debd413c4cc66d05d0',
'location': {'address': '5549 Broadway',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'distance': 482,
'formattedAddress': ['5549 Broadway',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.878464979323944,
'lng': -73.9055176422437}],
'lat': 40.878464979323944,
'lng': -73.9055176422437,
'postalCode': '10463',
'state': 'NY'},
'name': 'SUBWAY',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4ec68016cc21b428e1d2060a-18',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/financial_',
'suffix': '.png'},
'id': '4bf58dd8d48988d10a951735',
'name': 'Bank',
'pluralName': 'Banks',
'primary': True,
'shortName': 'Bank'}],
'id': '4ec68016cc21b428e1d2060a',
'location': {'address': '281 W 230th St',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'distance': 347,
'formattedAddress': ['281 W 230th St',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.8794958,
'lng': -73.9092856}],
'lat': 40.8794958,
'lng': -73.9092856,
'postalCode': '10463',
'state': 'NY'},
'name': 'TD Bank',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4dfe40df8877333e195b68fc-19',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/steakhouse_',
'suffix': '.png'},
'id': '4bf58dd8d48988d1cc941735',
'name': 'Steakhouse',
'pluralName': 'Steakhouses',
'primary': True,
'shortName': 'Steakhouse'}],
'delivery': {'id': '330981',
'provider': {'icon': {'name': '/delivery_provider_seamless_20180129.png',
'prefix': 'https://fastly.4sqi.net/img/general/cap/',
'sizes': [40, 50]},
'name': 'seamless'},
'url': 'https://www.seamless.com/menu/parrilla-latina-5523-broadway-bronx/330981?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=330981'},
'id': '4dfe40df8877333e195b68fc',
'location': {'address': '230th St & Broadway',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'distance': 399,
'formattedAddress': ['230th St & Broadway',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.87747294351472,
'lng': -73.90607346968568}],
'lat': 40.87747294351472,
'lng': -73.90607346968568,
'postalCode': '10463',
'state': 'NY'},
'name': 'Parrilla Latina',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4c852173dc018cfa2bc3e56c-20',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/apparel_kids_',
'suffix': '.png'},
'id': '4bf58dd8d48988d105951735',
'name': 'Kids Store',
'pluralName': 'Kids Stores',
'primary': True,
'shortName': 'Kids Store'}],
'id': '4c852173dc018cfa2bc3e56c',
'location': {'address': '44 W 225th St',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'distance': 383,
'formattedAddress': ['44 W 225th St',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.873671591133125,
'lng': -73.90815619608166}],
'lat': 40.873671591133125,
'lng': -73.90815619608166,
'postalCode': '10463',
'state': 'NY'},
'name': "The Children's Place",
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-53319bb511d2ef06787f02b4-21',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/mall_',
'suffix': '.png'},
'id': '4bf58dd8d48988d1fd941735',
'name': 'Shopping Mall',
'pluralName': 'Shopping Malls',
'primary': True,
'shortName': 'Mall'}],
'id': '53319bb511d2ef06787f02b4',
'location': {'address': '171 W 231st St',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'distance': 456,
'formattedAddress': ['171 W 231st St',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.87753906779665,
'lng': -73.90539578168178}],
'lat': 40.87753906779665,
'lng': -73.90539578168178,
'postalCode': '10463',
'state': 'NY'},
'name': 'Broadway Plaza',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4d0a529133d6b60cf4cf9985-22',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/deli_',
'suffix': '.png'},
'id': '4bf58dd8d48988d1c5941735',
'name': 'Sandwich Place',
'pluralName': 'Sandwich Places',
'primary': True,
'shortName': 'Sandwiches'}],
'id': '4d0a529133d6b60cf4cf9985',
'location': {'address': '5209 Broadway',
'cc': 'US',
'city': 'Bronx',
'country': 'United States',
'distance': 463,
'formattedAddress': ['5209 Broadway',
'Bronx, NY 10463',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.877720351115315,
'lng': -73.90537973066263}],
'lat': 40.877720351115315,
'lng': -73.90537973066263,
'postalCode': '10463',
'state': 'NY'},
'name': 'Subway',
'photos': {'count': 0, 'groups': []}}},
{'reasons': {'count': 0,
'items': [{'reasonName': 'globalInteractionReason',
'summary': 'This spot is popular',
'type': 'general'}]},
'referralId': 'e-0-4ed7956b8b81b2bf28adc714-23',
'venue': {'categories': [{'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/deli_',
'suffix': '.png'},
'id': '4bf58dd8d48988d146941735',
'name': 'Deli / Bodega',
'pluralName': 'Delis / Bodegas',
'primary': True,
'shortName': 'Deli / Bodega'}],
'id': '4ed7956b8b81b2bf28adc714',
'location': {'address': '135 Terrace View Ave.',
'cc': 'US',
'city': 'New York',
'country': 'United States',
'distance': 218,
'formattedAddress': ['135 Terrace View Ave.',
'New York, NY 10034',
'United States'],
'labeledLatLngs': [{'label': 'display',
'lat': 40.875995,
'lng': -73.913151}],
'lat': 40.875995,
'lng': -73.913151,
'postalCode': '10034',
'state': 'NY'},
'name': 'Terrace View Delicatessen',
'photos': {'count': 0, 'groups': []}}}],
'name': 'recommended',
'type': 'Recommended Places'}],
'headerFullLocation': 'Marble Hill, New York',
'headerLocation': 'Marble Hill',
'headerLocationGranularity': 'neighborhood',
'suggestedBounds': {'ne': {'lat': 40.88105078329964,
'lng': -73.90471933917806},
'sw': {'lat': 40.87205077429964, 'lng': -73.91659997808156}},
'suggestedFilters': {'filters': [{'key': 'openNow', 'name': 'Open now'}],
'header': 'Tap to show:'},
'totalResults': 24}}All the information is in the items key.
Let’s borrow the get_category_type function from the Foursquare lab.
# function that extracts the category of the venue
def get_category_type(row):
try:
categories_list = row['categories']
except:
categories_list = row['venue.categories']
if len(categories_list) == 0:
return None
else:
return categories_list[0]['name']Clean the json and structure it into a pandas dataframe.
venues = results['response']['groups'][0]['items']
nearby_venues = json_normalize(venues) # flatten JSON
# filter columns
filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']
nearby_venues = nearby_venues.loc[:, filtered_columns]
# filter the category for each row
nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)
# clean columns
nearby_venues.columns = [col.split(".")[-1] for col in nearby_venues.columns]
nearby_venues.head()| name | categories | lat | lng | |
|---|---|---|---|---|
| 0 | Arturo’s | Pizza Place | 40.874412 | -73.910271 |
| 1 | Bikram Yoga | Yoga Studio | 40.876844 | -73.906204 |
| 2 | Tibbett Diner | Diner | 40.880404 | -73.908937 |
| 3 | Dunkin’ | Donut Shop | 40.877136 | -73.906666 |
| 4 | Starbucks | Coffee Shop | 40.877531 | -73.905582 |
print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))24 venues were returned by Foursquare.Explore all neighborhoods in Manhattan
Let’s create a function to repeat the same process for all the neighborhoods in Manhattan.
def getNearbyVenues(names, latitudes, longitudes, radius=500):
venues_list=[]
for name, lat, lng in zip(names, latitudes, longitudes):
print(name)
# create the API request URL
url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(
CLIENT_ID,
CLIENT_SECRET,
VERSION,
lat,
lng,
radius,
LIMIT)
# make the GET request
results = requests.get(url).json()["response"]['groups'][0]['items']
# return only relevant information for each nearby venue
venues_list.append([(
name,
lat,
lng,
v['venue']['name'],
v['venue']['location']['lat'],
v['venue']['location']['lng'],
v['venue']['categories'][0]['name']) for v in results])
nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])
nearby_venues.columns = ['Neighborhood',
'Neighborhood Latitude',
'Neighborhood Longitude',
'Venue',
'Venue Latitude',
'Venue Longitude',
'Venue Category']
return(nearby_venues)Run the above function on each neighborhood and create a new dataframe.
manhattan_venues = getNearbyVenues(names=manhattan_data['Neighborhood'],
latitudes=manhattan_data['Latitude'],
longitudes=manhattan_data['Longitude'])Marble Hill
Chinatown
Washington Heights
Inwood
Hamilton Heights
Manhattanville
Central Harlem
East Harlem
Upper East Side
Yorkville
Lenox Hill
Roosevelt Island
Upper West Side
Lincoln Square
Clinton
Midtown
Murray Hill
Chelsea
Greenwich Village
East Village
Lower East Side
Tribeca
Little Italy
Soho
West Village
Manhattan Valley
Morningside Heights
Gramercy
Battery Park City
Financial District
Carnegie Hill
Noho
Civic Center
Midtown South
Sutton Place
Turtle Bay
Tudor City
Stuyvesant Town
Flatiron
Hudson YardsLet’s check the size of the resulting dataframe.
print(manhattan_venues.shape)
manhattan_venues.head()(3313, 7)| Neighborhood | Neighborhood Latitude | Neighborhood Longitude | Venue | Venue Latitude | Venue Longitude | Venue Category | |
|---|---|---|---|---|---|---|---|
| 0 | Marble Hill | 40.876551 | -73.91066 | Arturo’s | 40.874412 | -73.910271 | Pizza Place |
| 1 | Marble Hill | 40.876551 | -73.91066 | Bikram Yoga | 40.876844 | -73.906204 | Yoga Studio |
| 2 | Marble Hill | 40.876551 | -73.91066 | Tibbett Diner | 40.880404 | -73.908937 | Diner |
| 3 | Marble Hill | 40.876551 | -73.91066 | Dunkin’ | 40.877136 | -73.906666 | Donut Shop |
| 4 | Marble Hill | 40.876551 | -73.91066 | Starbucks | 40.877531 | -73.905582 | Coffee Shop |
Let’s check how many venues were returned for each neighborhood.
manhattan_venues.groupby('Neighborhood').count()| Neighborhood Latitude | Neighborhood Longitude | Venue | Venue Latitude | Venue Longitude | Venue Category | |
|---|---|---|---|---|---|---|
| Neighborhood | ||||||
| Battery Park City | 95 | 95 | 95 | 95 | 95 | 95 |
| Carnegie Hill | 100 | 100 | 100 | 100 | 100 | 100 |
| Central Harlem | 46 | 46 | 46 | 46 | 46 | 46 |
| Chelsea | 100 | 100 | 100 | 100 | 100 | 100 |
| Chinatown | 100 | 100 | 100 | 100 | 100 | 100 |
| Civic Center | 100 | 100 | 100 | 100 | 100 | 100 |
| Clinton | 100 | 100 | 100 | 100 | 100 | 100 |
| East Harlem | 41 | 41 | 41 | 41 | 41 | 41 |
| East Village | 100 | 100 | 100 | 100 | 100 | 100 |
| Financial District | 100 | 100 | 100 | 100 | 100 | 100 |
| Flatiron | 100 | 100 | 100 | 100 | 100 | 100 |
| Gramercy | 100 | 100 | 100 | 100 | 100 | 100 |
| Greenwich Village | 100 | 100 | 100 | 100 | 100 | 100 |
| Hamilton Heights | 61 | 61 | 61 | 61 | 61 | 61 |
| Hudson Yards | 84 | 84 | 84 | 84 | 84 | 84 |
| Inwood | 56 | 56 | 56 | 56 | 56 | 56 |
| Lenox Hill | 100 | 100 | 100 | 100 | 100 | 100 |
| Lincoln Square | 100 | 100 | 100 | 100 | 100 | 100 |
| Little Italy | 100 | 100 | 100 | 100 | 100 | 100 |
| Lower East Side | 56 | 56 | 56 | 56 | 56 | 56 |
| Manhattan Valley | 51 | 51 | 51 | 51 | 51 | 51 |
| Manhattanville | 42 | 42 | 42 | 42 | 42 | 42 |
| Marble Hill | 24 | 24 | 24 | 24 | 24 | 24 |
| Midtown | 100 | 100 | 100 | 100 | 100 | 100 |
| Midtown South | 100 | 100 | 100 | 100 | 100 | 100 |
| Morningside Heights | 42 | 42 | 42 | 42 | 42 | 42 |
| Murray Hill | 100 | 100 | 100 | 100 | 100 | 100 |
| Noho | 100 | 100 | 100 | 100 | 100 | 100 |
| Roosevelt Island | 30 | 30 | 30 | 30 | 30 | 30 |
| Soho | 100 | 100 | 100 | 100 | 100 | 100 |
| Stuyvesant Town | 16 | 16 | 16 | 16 | 16 | 16 |
| Sutton Place | 100 | 100 | 100 | 100 | 100 | 100 |
| Tribeca | 100 | 100 | 100 | 100 | 100 | 100 |
| Tudor City | 79 | 79 | 79 | 79 | 79 | 79 |
| Turtle Bay | 100 | 100 | 100 | 100 | 100 | 100 |
| Upper East Side | 100 | 100 | 100 | 100 | 100 | 100 |
| Upper West Side | 100 | 100 | 100 | 100 | 100 | 100 |
| Washington Heights | 90 | 90 | 90 | 90 | 90 | 90 |
| West Village | 100 | 100 | 100 | 100 | 100 | 100 |
| Yorkville | 100 | 100 | 100 | 100 | 100 | 100 |
How many unique categories can be curated from all the returned venues?
print('There are {} unique categories'.format(len(manhattan_venues['Venue Category'].unique())))There are 343 unique categoriesAnalyze each neighborhood
# one hot encoding
manhattan_onehot = pd.get_dummies(manhattan_venues[['Venue Category']], prefix='', prefix_sep='')
# add neighborhood column back to the dataframe
manhattan_onehot['Neighborhood'] = manhattan_venues['Neighborhood']
# move neighborhood column to the first column
fixed_columns = [manhattan_onehot.columns[-1]] + list(manhattan_onehot.columns[:-1])
manhattan_onehot = manhattan_onehot[fixed_columns]
manhattan_onehot.head()| Neighborhood | Accessories Store | Adult Boutique | Afghan Restaurant | African Restaurant | American Restaurant | Antique Shop | Arcade | Arepa Restaurant | Argentinian Restaurant | Art Gallery | Art Museum | Arts & Crafts Store | Asian Restaurant | Athletics & Sports | Auditorium | Australian Restaurant | Austrian Restaurant | BBQ Joint | Baby Store | Bagel Shop | Bakery | Bank | Bar | Baseball Field | Basketball Court | Bed & Breakfast | Beer Bar | Beer Garden | Beer Store | Big Box Store | Bike Rental / Bike Share | Bike Shop | Bike Trail | Bistro | Board Shop | Boat or Ferry | Bookstore | Boutique | Boxing Gym | Brazilian Restaurant | Breakfast Spot | Bridal Shop | Bridge | Bubble Tea Shop | Building | Burger Joint | Burrito Place | Bus Line | Bus Station | Bus Stop | Butcher | Cafeteria | Café | Cajun / Creole Restaurant | Cambodian Restaurant | Camera Store | Candy Store | Caribbean Restaurant | Caucasian Restaurant | Cheese Shop | Chinese Restaurant | Chocolate Shop | Circus | Climbing Gym | Clothing Store | Club House | Cocktail Bar | Coffee Shop | College Academic Building | College Arts Building | College Bookstore | College Cafeteria | College Gym | College Theater | Comedy Club | Comfort Food Restaurant | Community Center | Concert Hall | Convenience Store | Cooking School | Cosmetics Shop | Coworking Space | Creperie | Cuban Restaurant | Cultural Center | Cupcake Shop | Cycle Studio | Czech Restaurant | Dance Studio | Daycare | Deli / Bodega | Department Store | Design Studio | Dessert Shop | Dim Sum Restaurant | Diner | Discount Store | Dive Bar | Doctor’s Office | Dog Run | Donut Shop | Drugstore | Dry Cleaner | Dumpling Restaurant | Duty-free Shop | Eastern European Restaurant | Electronics Store | Empanada Restaurant | English Restaurant | Ethiopian Restaurant | Event Space | Exhibit | Falafel Restaurant | Farmers Market | Fast Food Restaurant | Filipino Restaurant | Fish Market | Flea Market | Flower Shop | Food & Drink Shop | Food Court | Food Stand | Food Truck | Fountain | French Restaurant | Fried Chicken Joint | Frozen Yogurt Shop | Furniture / Home Store | Gaming Cafe | Garden | Garden Center | Gas Station | Gastropub | Gay Bar | General College & University | General Entertainment | German Restaurant | Gift Shop | Golf Course | Gourmet Shop | Greek Restaurant | Grocery Store | Gym | Gym / Fitness Center | Gym Pool | Gymnastics Gym | Harbor / Marina | Hardware Store | Hawaiian Restaurant | Health & Beauty Service | Health Food Store | Heliport | High School | Himalayan Restaurant | Historic Site | History Museum | Hobby Shop | Hookah Bar | Hostel | Hot Dog Joint | Hotel | Hotel Bar | Hotpot Restaurant | Ice Cream Shop | Indian Restaurant | Indie Movie Theater | Indie Theater | Intersection | Irish Pub | Israeli Restaurant | Italian Restaurant | Japanese Curry Restaurant | Japanese Restaurant | Jazz Club | Jewelry Store | Jewish Restaurant | Juice Bar | Karaoke Bar | Kebab Restaurant | Kids Store | Kitchen Supply Store | Korean Restaurant | Kosher Restaurant | Latin American Restaurant | Laundry Service | Leather Goods Store | Lebanese Restaurant | Library | Lingerie Store | Liquor Store | Lounge | Malay Restaurant | Market | Martial Arts Dojo | Massage Studio | Medical Center | Mediterranean Restaurant | Memorial Site | Men’s Store | Metro Station | Mexican Restaurant | Middle Eastern Restaurant | Mini Golf | Miscellaneous Shop | Mobile Phone Shop | Modern European Restaurant | Molecular Gastronomy Restaurant | Monument / Landmark | Moroccan Restaurant | Movie Theater | Museum | Music School | Music Venue | Nail Salon | New American Restaurant | Newsstand | Nightclub | Non-Profit | Noodle House | North Indian Restaurant | Office | Opera House | Optical Shop | Organic Grocery | Other Great Outdoors | Outdoor Sculpture | Outdoor Supply Store | Outdoors & Recreation | Paella Restaurant | Pakistani Restaurant | Paper / Office Supplies Store | Park | Pastry Shop | Pedestrian Plaza | Performing Arts Venue | Persian Restaurant | Peruvian Restaurant | Pet Café | Pet Service | Pet Store | Pharmacy | Photography Studio | Physical Therapist | Piano Bar | Pie Shop | Pilates Studio | Pizza Place | Playground | Plaza | Poke Place | Pool | Pop-Up Shop | Pub | Public Art | Ramen Restaurant | Record Shop | Recording Studio | Recreation Center | Rental Car Location | Residential Building (Apartment / Condo) | Resort | Rest Area | Restaurant | Rock Climbing Spot | Rock Club | Roof Deck | Russian Restaurant | Sake Bar | Salad Place | Salon / Barbershop | Sandwich Place | Scandinavian Restaurant | Scenic Lookout | School | Sculpture Garden | Seafood Restaurant | Shanghai Restaurant | Shipping Store | Shoe Store | Shopping Mall | Skate Park | Skating Rink | Smoke Shop | Smoothie Shop | Snack Place | Soba Restaurant | Soccer Field | Social Club | Soup Place | South American Restaurant | South Indian Restaurant | Southern / Soul Food Restaurant | Spa | Spanish Restaurant | Speakeasy | Spiritual Center | Sporting Goods Shop | Sports Bar | Sports Club | Stables | Steakhouse | Street Art | Strip Club | Supermarket | Supplement Shop | Sushi Restaurant | Swiss Restaurant | Szechuan Restaurant | Taco Place | Tailor Shop | Taiwanese Restaurant | Tapas Restaurant | Tattoo Parlor | Tea Room | Tennis Court | Tennis Stadium | Thai Restaurant | Theater | Theme Park Ride / Attraction | Thrift / Vintage Store | Tiki Bar | Tourist Information Center | Toy / Game Store | Trail | Tree | Turkish Restaurant | Udon Restaurant | Used Bookstore | Vegetarian / Vegan Restaurant | Venezuelan Restaurant | Veterinarian | Video Game Store | Video Store | Vietnamese Restaurant | Volleyball Court | Waterfront | Weight Loss Center | Whisky Bar | Wine Bar | Wine Shop | Wings Joint | Women’s Store | Yoga Studio | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Marble Hill | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | Marble Hill | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 2 | Marble Hill | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3 | Marble Hill | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 4 | Marble Hill | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
# examine the new dataframe size
manhattan_onehot.shape(3313, 344)Let’s group rows by neighborhood and by taking the mean of the frequency of occurrence of each category.
manhattan_grouped = manhattan_onehot.groupby('Neighborhood').mean().reset_index()
manhattan_grouped| Neighborhood | Accessories Store | Adult Boutique | Afghan Restaurant | African Restaurant | American Restaurant | Antique Shop | Arcade | Arepa Restaurant | Argentinian Restaurant | Art Gallery | Art Museum | Arts & Crafts Store | Asian Restaurant | Athletics & Sports | Auditorium | Australian Restaurant | Austrian Restaurant | BBQ Joint | Baby Store | Bagel Shop | Bakery | Bank | Bar | Baseball Field | Basketball Court | Bed & Breakfast | Beer Bar | Beer Garden | Beer Store | Big Box Store | Bike Rental / Bike Share | Bike Shop | Bike Trail | Bistro | Board Shop | Boat or Ferry | Bookstore | Boutique | Boxing Gym | Brazilian Restaurant | Breakfast Spot | Bridal Shop | Bridge | Bubble Tea Shop | Building | Burger Joint | Burrito Place | Bus Line | Bus Station | Bus Stop | Butcher | Cafeteria | Café | Cajun / Creole Restaurant | Cambodian Restaurant | Camera Store | Candy Store | Caribbean Restaurant | Caucasian Restaurant | Cheese Shop | Chinese Restaurant | Chocolate Shop | Circus | Climbing Gym | Clothing Store | Club House | Cocktail Bar | Coffee Shop | College Academic Building | College Arts Building | College Bookstore | College Cafeteria | College Gym | College Theater | Comedy Club | Comfort Food Restaurant | Community Center | Concert Hall | Convenience Store | Cooking School | Cosmetics Shop | Coworking Space | Creperie | Cuban Restaurant | Cultural Center | Cupcake Shop | Cycle Studio | Czech Restaurant | Dance Studio | Daycare | Deli / Bodega | Department Store | Design Studio | Dessert Shop | Dim Sum Restaurant | Diner | Discount Store | Dive Bar | Doctor’s Office | Dog Run | Donut Shop | Drugstore | Dry Cleaner | Dumpling Restaurant | Duty-free Shop | Eastern European Restaurant | Electronics Store | Empanada Restaurant | English Restaurant | Ethiopian Restaurant | Event Space | Exhibit | Falafel Restaurant | Farmers Market | Fast Food Restaurant | Filipino Restaurant | Fish Market | Flea Market | Flower Shop | Food & Drink Shop | Food Court | Food Stand | Food Truck | Fountain | French Restaurant | Fried Chicken Joint | Frozen Yogurt Shop | Furniture / Home Store | Gaming Cafe | Garden | Garden Center | Gas Station | Gastropub | Gay Bar | General College & University | General Entertainment | German Restaurant | Gift Shop | Golf Course | Gourmet Shop | Greek Restaurant | Grocery Store | Gym | Gym / Fitness Center | Gym Pool | Gymnastics Gym | Harbor / Marina | Hardware Store | Hawaiian Restaurant | Health & Beauty Service | Health Food Store | Heliport | High School | Himalayan Restaurant | Historic Site | History Museum | Hobby Shop | Hookah Bar | Hostel | Hot Dog Joint | Hotel | Hotel Bar | Hotpot Restaurant | Ice Cream Shop | Indian Restaurant | Indie Movie Theater | Indie Theater | Intersection | Irish Pub | Israeli Restaurant | Italian Restaurant | Japanese Curry Restaurant | Japanese Restaurant | Jazz Club | Jewelry Store | Jewish Restaurant | Juice Bar | Karaoke Bar | Kebab Restaurant | Kids Store | Kitchen Supply Store | Korean Restaurant | Kosher Restaurant | Latin American Restaurant | Laundry Service | Leather Goods Store | Lebanese Restaurant | Library | Lingerie Store | Liquor Store | Lounge | Malay Restaurant | Market | Martial Arts Dojo | Massage Studio | Medical Center | Mediterranean Restaurant | Memorial Site | Men’s Store | Metro Station | Mexican Restaurant | Middle Eastern Restaurant | Mini Golf | Miscellaneous Shop | Mobile Phone Shop | Modern European Restaurant | Molecular Gastronomy Restaurant | Monument / Landmark | Moroccan Restaurant | Movie Theater | Museum | Music School | Music Venue | Nail Salon | New American Restaurant | Newsstand | Nightclub | Non-Profit | Noodle House | North Indian Restaurant | Office | Opera House | Optical Shop | Organic Grocery | Other Great Outdoors | Outdoor Sculpture | Outdoor Supply Store | Outdoors & Recreation | Paella Restaurant | Pakistani Restaurant | Paper / Office Supplies Store | Park | Pastry Shop | Pedestrian Plaza | Performing Arts Venue | Persian Restaurant | Peruvian Restaurant | Pet Café | Pet Service | Pet Store | Pharmacy | Photography Studio | Physical Therapist | Piano Bar | Pie Shop | Pilates Studio | Pizza Place | Playground | Plaza | Poke Place | Pool | Pop-Up Shop | Pub | Public Art | Ramen Restaurant | Record Shop | Recording Studio | Recreation Center | Rental Car Location | Residential Building (Apartment / Condo) | Resort | Rest Area | Restaurant | Rock Climbing Spot | Rock Club | Roof Deck | Russian Restaurant | Sake Bar | Salad Place | Salon / Barbershop | Sandwich Place | Scandinavian Restaurant | Scenic Lookout | School | Sculpture Garden | Seafood Restaurant | Shanghai Restaurant | Shipping Store | Shoe Store | Shopping Mall | Skate Park | Skating Rink | Smoke Shop | Smoothie Shop | Snack Place | Soba Restaurant | Soccer Field | Social Club | Soup Place | South American Restaurant | South Indian Restaurant | Southern / Soul Food Restaurant | Spa | Spanish Restaurant | Speakeasy | Spiritual Center | Sporting Goods Shop | Sports Bar | Sports Club | Stables | Steakhouse | Street Art | Strip Club | Supermarket | Supplement Shop | Sushi Restaurant | Swiss Restaurant | Szechuan Restaurant | Taco Place | Tailor Shop | Taiwanese Restaurant | Tapas Restaurant | Tattoo Parlor | Tea Room | Tennis Court | Tennis Stadium | Thai Restaurant | Theater | Theme Park Ride / Attraction | Thrift / Vintage Store | Tiki Bar | Tourist Information Center | Toy / Game Store | Trail | Tree | Turkish Restaurant | Udon Restaurant | Used Bookstore | Vegetarian / Vegan Restaurant | Venezuelan Restaurant | Veterinarian | Video Game Store | Video Store | Vietnamese Restaurant | Volleyball Court | Waterfront | Weight Loss Center | Whisky Bar | Wine Bar | Wine Shop | Wings Joint | Women’s Store | Yoga Studio | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Battery Park City | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.010526 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010526 | 0.010526 | 0.00 | 0.00 | 0.021053 | 0.00 | 0.000000 | 0.010526 | 0.000000 | 0.000000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.010526 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.010526 | 0.00 | 0.021053 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010526 | 0.010526 | 0.010526 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.010526 | 0.000000 | 0.000000 | 0.00 | 0.010526 | 0.00 | 0.00 | 0.00000 | 0.021053 | 0.00 | 0.000000 | 0.063158 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.010526 | 0.010526 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.010526 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010526 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.010526 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.021053 | 0.00 | 0.010526 | 0.0000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010526 | 0.00 | 0.00000 | 0.010526 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.021053 | 0.000000 | 0.021053 | 0.031579 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010526 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.052632 | 0.010526 | 0.00 | 0.021053 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.021053 | 0.00000 | 0.000000 | 0.000000 | 0.010526 | 0.000000 | 0.010526 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010526 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010526 | 0.031579 | 0.021053 | 0.000000 | 0.010526 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010526 | 0.00 | 0.010526 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.073684 | 0.00 | 0.000000 | 0.010526 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.010526 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.021053 | 0.010526 | 0.021053 | 0.00 | 0.000000 | 0.00 | 0.010526 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010526 | 0.000000 | 0.021053 | 0.00 | 0.010526 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.031579 | 0.00 | 0.00 | 0.010526 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.010526 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.010526 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010526 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.031579 | 0.000000 | 0.031579 | 0.000000 |
| 1 | Carnegie Hill | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.030000 | 0.000000 | 0.020000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.030000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.050000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.00000 | 0.010000 | 0.00 | 0.020000 | 0.060000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.010000 | 0.000000 | 0.000000 | 0.030000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.010000 | 0.0000 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.010000 | 0.000000 | 0.030000 | 0.030000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.020000 | 0.00000 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.060000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.010000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.030000 | 0.000000 | 0.010000 | 0.030000 |
| 2 | Central Harlem | 0.000000 | 0.00 | 0.00 | 0.065217 | 0.043478 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.021739 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.021739 | 0.00 | 0.021739 | 0.000000 | 0.000000 | 0.043478 | 0.0000 | 0.00 | 0.00 | 0.021739 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.021739 | 0.021739 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.021739 | 0.021739 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.021739 | 0.000000 | 0.00 | 0.043478 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.021739 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.043478 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.021739 | 0.00 | 0.000000 | 0.00 | 0.021739 | 0.000000 | 0.00 | 0.021739 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.021739 | 0.021739 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.043478 | 0.043478 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.021739 | 0.021739 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.021739 | 0.000000 | 0.000000 | 0.021739 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.021739 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.021739 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.021739 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.021739 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.021739 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.021739 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.021739 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.043478 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.021739 | 0.021739 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.021739 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 3 | Chelsea | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.050000 | 0.000000 | 0.010000 | 0.0000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.010000 | 0.00 | 0.00 | 0.00000 | 0.010000 | 0.00 | 0.020000 | 0.060000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.01 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.00000 | 0.00 | 0.020000 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.01 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.010000 | 0.000000 | 0.010000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.030000 | 0.000000 | 0.00 | 0.030000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.050000 | 0.00000 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.010000 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.020000 | 0.00 | 0.01 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.010000 | 0.000000 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.030000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.030000 | 0.000000 | 0.010000 | 0.000000 |
| 4 | Chinatown | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.040000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.00 | 0.000000 | 0.030000 | 0.000000 | 0.020000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.090000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.050000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.020000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.02000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.01 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.03 | 0.020000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.02 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.000000 | 0.010000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.02 | 0.00 | 0.000000 | 0.00 | 0.03 | 0.01 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.01 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.00 | 0.01 | 0.000000 | 0.030000 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.030000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.040000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.010000 |
| 5 | Civic Center | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.030000 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.01 | 0.010000 | 0.030000 | 0.000000 | 0.010000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.010000 | 0.010000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.020000 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.010000 | 0.00 | 0.030000 | 0.060000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.01000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.040000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.020000 | 0.050000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.040000 | 0.020000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.020000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.02 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.010000 | 0.00 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.01 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.030000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.030000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.030000 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.01 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.020000 | 0.020000 | 0.010000 | 0.000000 | 0.030000 |
| 6 | Clinton | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.040000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.010000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.020000 | 0.040000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.010000 | 0.000000 | 0.01 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.020000 | 0.00 | 0.000000 | 0.0000 | 0.010000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.020000 | 0.050000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.030000 | 0.010000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.050000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.010000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.010000 | 0.01 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.030000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.030000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.01 | 0.00 | 0.000000 | 0.010000 | 0.00000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.010000 | 0.000000 | 0.000000 | 0.090000 | 0.00 | 0.00000 | 0.01 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.020000 | 0.030000 | 0.000000 | 0.000000 | 0.000000 |
| 7 | East Harlem | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.097561 | 0.000000 | 0.000000 | 0.0000 | 0.00 | 0.00 | 0.024390 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.024390 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.024390 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.024390 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.02439 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.024390 | 0.00 | 0.048780 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.024390 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.024390 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.02439 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.024390 | 0.024390 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.024390 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.073171 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.024390 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.121951 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.024390 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.024390 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.024390 | 0.024390 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.024390 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.024390 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.024390 | 0.024390 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.024390 | 0.02439 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.024390 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.073171 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 8 | East Village | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.010000 | 0.010000 | 0.010000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.020000 | 0.020000 | 0.000000 | 0.070000 | 0.0000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.01 | 0.040000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.040000 | 0.020000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.010000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.050000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.030000 | 0.00000 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.030000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.040000 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.01 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.040000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.030000 | 0.01 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.01 | 0.03 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.050000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 |
| 9 | Financial District | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.050000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.050000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.030000 | 0.090000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.01000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.030000 | 0.00 | 0.020000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.010000 | 0.00 | 0.030000 | 0.0000 | 0.010000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.010000 | 0.010000 | 0.040000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.030000 | 0.000000 | 0.00 | 0.010000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.020000 | 0.01000 | 0.010000 | 0.000000 | 0.020000 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.020000 | 0.00 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.040000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.030000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.030000 | 0.000000 | 0.010000 | 0.000000 |
| 10 | Flatiron | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.040000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.040000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.010000 | 0.01 | 0.00 | 0.00000 | 0.030000 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.030000 | 0.00 | 0.00 | 0.01000 | 0.00 | 0.000000 | 0.030000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.010000 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.010000 | 0.000000 | 0.010000 | 0.020000 | 0.040000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.020000 | 0.00000 | 0.040000 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.01 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.030000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.01 | 0.01 | 0.00 | 0.010000 | 0.030000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.030000 | 0.000000 | 0.010000 | 0.00 | 0.010000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.02 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.02 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.010000 | 0.040000 |
| 11 | Gramercy | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.030000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.040000 | 0.010000 | 0.000000 | 0.050000 | 0.0000 | 0.00 | 0.01 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.030000 | 0.030000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.020000 | 0.01 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.030000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.010000 | 0.0000 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.030000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.030000 | 0.000000 | 0.00 | 0.030000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.050000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.040000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.040000 | 0.020000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.01 | 0.000000 | 0.030000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.030000 | 0.000000 | 0.00 | 0.03000 | 0.01 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.010000 |
| 12 | Greenwich Village | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.010000 | 0.0000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.040000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.00 | 0.00000 | 0.060000 | 0.00 | 0.020000 | 0.020000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.01 | 0.01000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.01 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.020000 | 0.0000 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.020000 | 0.030000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.130000 | 0.00000 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.01 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.010000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.01 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.030000 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.040000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.010000 |
| 13 | Hamilton Heights | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.032787 | 0.016393 | 0.016393 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.016393 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.065574 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.032787 | 0.000000 | 0.00 | 0.032787 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.032787 | 0.065574 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.016393 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.065574 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.016393 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.016393 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.016393 | 0.0000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.016393 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.016393 | 0.000000 | 0.00 | 0.016393 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.032787 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.016393 | 0.00000 | 0.016393 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.016393 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.016393 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.016393 | 0.000000 | 0.000000 | 0.016393 | 0.049180 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.032787 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.098361 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.016393 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.032787 | 0.00 | 0.000000 | 0.032787 | 0.00 | 0.016393 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.016393 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.032787 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.016393 | 0.000000 | 0.000000 | 0.000000 | 0.032787 |
| 14 | Hudson Yards | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.059524 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.023810 | 0.00 | 0.000000 | 0.011905 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.011905 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.023810 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.011905 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.011905 | 0.011905 | 0.000000 | 0.000000 | 0.011905 | 0.000000 | 0.00 | 0.000000 | 0.035714 | 0.00 | 0.00 | 0.011905 | 0.000000 | 0.000000 | 0.011905 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.011905 | 0.047619 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.011905 | 0.00 | 0.00 | 0.011905 | 0.000000 | 0.000000 | 0.011905 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.011905 | 0.00 | 0.000000 | 0.00 | 0.011905 | 0.011905 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.023810 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.011905 | 0.00 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.000000 | 0.011905 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.011905 | 0.011905 | 0.000000 | 0.023810 | 0.047619 | 0.00 | 0.00 | 0.011905 | 0.000000 | 0.000000 | 0.00 | 0.011905 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.047619 | 0.011905 | 0.00 | 0.011905 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.047619 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.011905 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.011905 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.011905 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.011905 | 0.000000 | 0.023810 | 0.00 | 0.011905 | 0.011905 | 0.00 | 0.011905 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.011905 | 0.011905 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.011905 | 0.00 | 0.000000 | 0.023810 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.011905 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.011905 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.011905 | 0.023810 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.011905 | 0.011905 | 0.00000 | 0.00 | 0.011905 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.011905 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.035714 | 0.011905 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.011905 | 0.011905 | 0.000000 | 0.000000 | 0.000000 |
| 15 | Inwood | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.035714 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.035714 | 0.000000 | 0.017857 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.017857 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.017857 | 0.000000 | 0.00 | 0.000000 | 0.053571 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.017857 | 0.000000 | 0.00 | 0.035714 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.017857 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.017857 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.035714 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.017857 | 0.000000 | 0.00 | 0.00 | 0.017857 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.017857 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.017857 | 0.017857 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.035714 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.017857 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.017857 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.017857 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.017857 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.071429 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.071429 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.035714 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.017857 | 0.017857 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.053571 | 0.017857 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.053571 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.017857 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.035714 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.017857 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.017857 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.035714 | 0.017857 | 0.000000 | 0.000000 | 0.017857 |
| 16 | Lenox Hill | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.00 | 0.010000 | 0.020000 | 0.000000 | 0.010000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.000000 | 0.010000 | 0.000000 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.00000 | 0.010000 | 0.01 | 0.040000 | 0.060000 | 0.01 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.01000 | 0.00 | 0.000000 | 0.020000 | 0.01 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.010000 | 0.010000 | 0.010000 | 0.030000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.070000 | 0.00000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.020000 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.050000 | 0.020000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.020000 | 0.020000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.050000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.020000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.020000 | 0.000000 | 0.010000 | 0.000000 |
| 17 | Lincoln Square | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.020000 | 0.000000 | 0.010000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.050000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.01000 | 0.010000 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.01 | 0.01 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.040000 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.020000 | 0.0100 | 0.020000 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.010000 | 0.020000 | 0.020000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.03 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.050000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.02 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.030000 | 0.00 | 0.000000 | 0.040000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.010000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.060000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.050000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.020000 | 0.020000 | 0.000000 | 0.000000 | 0.010000 |
| 18 | Little Italy | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.050000 | 0.000000 | 0.000000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.040000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.060000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.01 | 0.00 | 0.00000 | 0.020000 | 0.00 | 0.030000 | 0.020000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.01000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.010000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.010000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.010000 | 0.02 | 0.020000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.030000 | 0.00000 | 0.020000 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.01 | 0.00 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.01 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.030000 | 0.030000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.010000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.01 | 0.02 | 0.000000 | 0.000000 | 0.020000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.020000 | 0.010000 | 0.000000 | 0.020000 | 0.020000 |
| 19 | Lower East Side | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.017857 | 0.053571 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.017857 | 0.035714 | 0.000000 | 0.000000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.017857 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.017857 | 0.00 | 0.000000 | 0.053571 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.035714 | 0.00 | 0.00 | 0.00000 | 0.017857 | 0.00 | 0.035714 | 0.053571 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.017857 | 0.00 | 0.000000 | 0.017857 | 0.00 | 0.017857 | 0.017857 | 0.017857 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.017857 | 0.000000 | 0.017857 | 0.00 | 0.00 | 0.017857 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.017857 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.017857 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.017857 | 0.00000 | 0.035714 | 0.000000 | 0.000000 | 0.000000 | 0.017857 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.017857 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.017857 | 0.000000 | 0.000000 | 0.000000 | 0.017857 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.017857 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.017857 | 0.00 | 0.000000 | 0.017857 | 0.00 | 0.000000 | 0.017857 | 0.0000 | 0.000000 | 0.017857 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.053571 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.035714 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.017857 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.017857 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.017857 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.017857 | 0.000000 | 0.017857 | 0.017857 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.017857 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.017857 | 0.017857 |
| 20 | Manhattan Valley | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.019608 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.019608 | 0.000000 | 0.058824 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.019608 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.019608 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.019608 | 0.000000 | 0.00 | 0.019608 | 0.00 | 0.00 | 0.00000 | 0.019608 | 0.00 | 0.000000 | 0.039216 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.019608 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.039216 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.019608 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.019608 | 0.000000 | 0.00 | 0.019608 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.000000 | 0.019608 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.019608 | 0.000000 | 0.019608 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.019608 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.019608 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.019608 | 0.058824 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.019608 | 0.00000 | 0.019608 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.019608 | 0.000000 | 0.019608 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.039216 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.019608 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.019608 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.058824 | 0.039216 | 0.019608 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.019608 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.019608 | 0.00 | 0.019608 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.039216 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.019608 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.019608 | 0.019608 | 0.000000 | 0.039216 |
| 21 | Manhattanville | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.023810 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.023810 | 0.00 | 0.000000 | 0.023810 | 0.023810 | 0.023810 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.02381 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.023810 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.023810 | 0.000000 | 0.00 | 0.000000 | 0.023810 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.023810 | 0.00 | 0.00 | 0.02381 | 0.000000 | 0.00 | 0.000000 | 0.071429 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.023810 | 0.00 | 0.00 | 0.02381 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.047619 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.023810 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.02381 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.023810 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.02381 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.000000 | 0.023810 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.023810 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.023810 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.047619 | 0.02381 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.023810 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.023810 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.047619 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.023810 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.047619 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.023810 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.047619 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.023810 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.023810 | 0.000000 | 0.023810 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.02381 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 22 | Marble Hill | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.041667 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.041667 | 0.000000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.083333 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.041667 | 0.041667 | 0.00 | 0.000000 | 0.000000 | 0.041667 | 0.041667 | 0.00 | 0.00 | 0.000000 | 0.041667 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.083333 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.041667 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.041667 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.041667 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.041667 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.041667 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.083333 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.041667 | 0.000000 | 0.000000 | 0.000000 | 0.041667 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.041667 | 0.00000 | 0.00 | 0.000000 | 0.041667 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.041667 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.041667 |
| 23 | Midtown | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.030000 | 0.000000 | 0.010000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.030000 | 0.000000 | 0.010000 | 0.01 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.00000 | 0.040000 | 0.00 | 0.030000 | 0.040000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.01000 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.010000 | 0.01 | 0.010000 | 0.0000 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.010000 | 0.010000 | 0.020000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.070000 | 0.000000 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.010000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.01 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.030000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.010000 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.030000 | 0.01 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.010000 |
| 24 | Midtown South | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.010000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.010000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.020000 | 0.00 | 0.020000 | 0.030000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.030000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.040000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.020000 | 0.00000 | 0.010000 | 0.00 | 0.000000 | 0.0000 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.020000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.010000 | 0.010000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.050000 | 0.050000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.020000 | 0.00000 | 0.050000 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.150000 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.02 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.010000 |
| 25 | Morningside Heights | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.071429 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.071429 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.047619 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.023810 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.071429 | 0.00 | 0.00 | 0.00 | 0.02381 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.047619 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.023810 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.023810 | 0.000000 | 0.00 | 0.000000 | 0.023810 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.023810 | 0.0000 | 0.000000 | 0.000000 | 0.023810 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.023810 | 0.023810 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.023810 | 0.023810 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.023810 | 0.000000 | 0.000000 | 0.000000 | 0.023810 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.023810 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.02381 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.023810 | 0.071429 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.023810 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.023810 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.023810 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.023810 | 0.000000 | 0.047619 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.023810 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.023810 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.023810 | 0.000000 | 0.000000 | 0.023810 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 26 | Murray Hill | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.040000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.020000 | 0.010000 | 0.000000 | 0.010000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.020000 | 0.050000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.02000 | 0.01 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.020000 | 0.010000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.030000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.040000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.030000 | 0.00000 | 0.040000 | 0.010000 | 0.000000 | 0.020000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.010000 | 0.00 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.01 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.0000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.050000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.010000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.010000 | 0.010000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 27 | Noho | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.030000 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.0000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.020000 | 0.020000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.01 | 0.040000 | 0.030000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.050000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.03 | 0.00 | 0.010000 | 0.010000 | 0.030000 | 0.010000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.040000 | 0.010000 | 0.00 | 0.020000 | 0.010000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.050000 | 0.00000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.030000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.030000 | 0.00 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.01000 | 0.00 | 0.000000 | 0.000000 | 0.030000 | 0.00 | 0.000000 | 0.010000 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.010000 | 0.010000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.020000 | 0.020000 | 0.000000 | 0.000000 | 0.020000 |
| 28 | Roosevelt Island | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.033333 | 0.000000 | 0.000000 | 0.000000 | 0.033333 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.033333 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.066667 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.033333 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.033333 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.033333 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.033333 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.033333 | 0.000000 | 0.033333 | 0.033333 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.033333 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.033333 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.033333 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.033333 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.033333 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.033333 | 0.00 | 0.000000 | 0.000000 | 0.066667 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.033333 | 0.033333 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.033333 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.066667 | 0.00 | 0.033333 | 0.033333 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.033333 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.033333 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.033333 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 29 | Soho | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.040000 | 0.01 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.030000 | 0.000000 | 0.000000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.060000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.100000 | 0.00 | 0.010000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.010000 | 0.010000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.010000 | 0.0000 | 0.020000 | 0.000000 | 0.000000 | 0.030000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.020000 | 0.00000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.030000 | 0.000000 | 0.030000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.020000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.040000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.010000 | 0.000000 | 0.00 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.01 | 0.01 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.02 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.040000 | 0.020000 |
| 30 | Stuyvesant Town | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.125000 | 0.0625 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.062500 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.062500 | 0.062500 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.062500 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0625 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.06250 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.062500 | 0.00 | 0.00 | 0.062500 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.062500 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.125000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0625 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.062500 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 31 | Sutton Place | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.020000 | 0.010000 | 0.010000 | 0.0000 | 0.00 | 0.00 | 0.020000 | 0.020000 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.030000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.010000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.020000 | 0.01 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.010000 | 0.00 | 0.000000 | 0.0000 | 0.020000 | 0.000000 | 0.000000 | 0.040000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.010000 | 0.020000 | 0.040000 | 0.060000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.02 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.020000 | 0.030000 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.040000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.01 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.02 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.01 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.00000 | 0.01 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.010000 | 0.000000 | 0.000000 | 0.020000 |
| 32 | Tribeca | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.050000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.010000 | 0.0000 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.030000 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.040000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.00000 | 0.010000 | 0.00 | 0.020000 | 0.030000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.030000 | 0.000000 | 0.010000 | 0.010000 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.01 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.050000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.050000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.010000 | 0.020000 | 0.000000 | 0.02 | 0.000000 | 0.01 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.040000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.01 | 0.000000 | 0.00 | 0.01 | 0.030000 | 0.030000 | 0.000000 | 0.000000 | 0.010000 |
| 33 | Tudor City | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.012658 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.025316 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.012658 | 0.000000 | 0.012658 | 0.012658 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.012658 | 0.00 | 0.000000 | 0.00 | 0.012658 | 0.000000 | 0.000000 | 0.012658 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.063291 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.037975 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.012658 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.037975 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.037975 | 0.000000 | 0.00 | 0.00 | 0.025316 | 0.012658 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.012658 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.025316 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.037975 | 0.000000 | 0.025316 | 0.012658 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.012658 | 0.00 | 0.000000 | 0.012658 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.012658 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.012658 | 0.00000 | 0.012658 | 0.000000 | 0.000000 | 0.012658 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.012658 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.012658 | 0.012658 | 0.012658 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.063291 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.012658 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.063291 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.012658 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.037975 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.012658 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.012658 | 0.012658 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.012658 | 0.012658 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.012658 | 0.025316 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.025316 | 0.00 | 0.000000 | 0.012658 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.012658 | 0.000000 | 0.025316 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.012658 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.025316 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.012658 |
| 34 | Turtle Bay | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.010000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.010000 | 0.050000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.010000 | 0.0000 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.01 | 0.01 | 0.00 | 0.000000 | 0.020000 | 0.010000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.030000 | 0.000000 | 0.00 | 0.000000 | 0.030000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.070000 | 0.01000 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.02 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.01 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.030000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.030000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.01 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.050000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.050000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.01 | 0.00 | 0.010000 | 0.000000 | 0.02 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.040000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 35 | Upper East Side | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.060000 | 0.02 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.050000 | 0.000000 | 0.010000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.020000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.01 | 0.00 | 0.00000 | 0.010000 | 0.00 | 0.020000 | 0.050000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.06 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.010000 | 0.000000 | 0.020000 | 0.000000 | 0.040000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.030000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.060000 | 0.00000 | 0.010000 | 0.010000 | 0.000000 | 0.000000 | 0.040000 | 0.00 | 0.00 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.030000 | 0.010000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.010000 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.010000 | 0.020000 |
| 36 | Upper West Side | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.030000 | 0.000000 | 0.040000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.040000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.040000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.01 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.01000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.010000 | 0.010000 | 0.020000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.020000 | 0.030000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.060000 | 0.00000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.02 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.01 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.020000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.01 | 0.010000 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.01 | 0.00 | 0.000000 | 0.000000 | 0.01000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.000000 | 0.00 | 0.00000 | 0.01 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.02 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.040000 | 0.010000 | 0.000000 | 0.000000 | 0.020000 |
| 37 | Washington Heights | 0.011111 | 0.00 | 0.00 | 0.000000 | 0.011111 | 0.00 | 0.00 | 0.011111 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.044444 | 0.011111 | 0.011111 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.011111 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.011111 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.055556 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.011111 | 0.000000 | 0.00 | 0.022222 | 0.00 | 0.00 | 0.00000 | 0.011111 | 0.00 | 0.011111 | 0.022222 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.022222 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.011111 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.022222 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.011111 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.044444 | 0.022222 | 0.011111 | 0.00 | 0.00 | 0.000000 | 0.011111 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.011111 | 0.011111 | 0.00 | 0.000000 | 0.011111 | 0.00 | 0.00 | 0.011111 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.011111 | 0.00 | 0.000000 | 0.000000 | 0.022222 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.011111 | 0.011111 | 0.00 | 0.011111 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.022222 | 0.00 | 0.00 | 0.000000 | 0.033333 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.022222 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.011111 | 0.022222 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.011111 | 0.0000 | 0.011111 | 0.011111 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.022222 | 0.000000 | 0.011111 | 0.00 | 0.011111 | 0.00 | 0.000000 | 0.000000 | 0.011111 | 0.00 | 0.00 | 0.00 | 0.011111 | 0.000000 | 0.00 | 0.011111 | 0.011111 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.011111 | 0.000000 | 0.022222 | 0.00 | 0.011111 | 0.000000 | 0.00 | 0.011111 | 0.000000 | 0.011111 | 0.011111 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.022222 | 0.000000 | 0.00 | 0.011111 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.022222 | 0.022222 | 0.011111 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.022222 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.011111 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.011111 | 0.022222 | 0.000000 | 0.011111 | 0.000000 |
| 38 | West Village | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.050000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.00 | 0.000000 | 0.030000 | 0.000000 | 0.000000 | 0.0000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.010000 | 0.01 | 0.000000 | 0.010000 | 0.010000 | 0.000000 | 0.01 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.040000 | 0.030000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.050000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.01000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.020000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.00000 | 0.010000 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.030000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.090000 | 0.00000 | 0.020000 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.060000 | 0.01 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.01 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.040000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.0000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.010000 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.010000 | 0.000000 | 0.010000 | 0.00 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.000000 | 0.030000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.040000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 |
| 39 | Yorkville | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.010000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.020000 | 0.010000 | 0.010000 | 0.050000 | 0.0000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.010000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.060000 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.01 | 0.040000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.030000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.00 | 0.000000 | 0.00000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00000 | 0.000000 | 0.00 | 0.000000 | 0.0000 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.060000 | 0.010000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.01 | 0.000000 | 0.000000 | 0.00 | 0.020000 | 0.010000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.070000 | 0.00000 | 0.030000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.010000 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.000000 | 0.030000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00000 | 0.00 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.000000 | 0.0000 | 0.000000 | 0.010000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.040000 | 0.000000 | 0.000000 | 0.00 | 0.010000 | 0.00 | 0.010000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.010000 | 0.020000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.020000 | 0.000000 | 0.000000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.00000 | 0.00 | 0.000000 | 0.000000 | 0.040000 | 0.00 | 0.000000 | 0.000000 | 0.00 | 0.00 | 0.000000 | 0.00 | 0.01 | 0.000000 | 0.000000 | 0.010000 | 0.000000 | 0.00 | 0.00000 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.000000 | 0.000000 | 0.01 | 0.020000 | 0.00 | 0.000000 | 0.00 | 0.00 | 0.010000 | 0.030000 | 0.000000 | 0.000000 | 0.000000 |
# confirm the new size
manhattan_grouped.shape(40, 344)Let’s print the top 5 most common venues for each neighborhood.
#collapse-output
num_top_venues = 5
for hood in manhattan_grouped['Neighborhood']:
print('----' + hood + '----')
temp = manhattan_grouped[manhattan_grouped['Neighborhood'] == hood].T.reset_index()
temp.columns = ['venue', 'freq']
temp = temp.iloc[1:]
temp['freq'] = temp['freq'].astype(float)
temp = temp.round({'freq': 2})
print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))
print('\n')----Battery Park City----
venue freq
0 Park 0.07
1 Coffee Shop 0.06
2 Hotel 0.05
3 Shopping Mall 0.03
4 Women's Store 0.03
----Carnegie Hill----
venue freq
0 Coffee Shop 0.06
1 Pizza Place 0.06
2 Café 0.05
3 Gym / Fitness Center 0.03
4 Cosmetics Shop 0.03
----Central Harlem----
venue freq
0 African Restaurant 0.07
1 Bar 0.04
2 Seafood Restaurant 0.04
3 French Restaurant 0.04
4 Cosmetics Shop 0.04
----Chelsea----
venue freq
0 Coffee Shop 0.06
1 Italian Restaurant 0.05
2 Bakery 0.05
3 Hotel 0.03
4 Theater 0.03
----Chinatown----
venue freq
0 Chinese Restaurant 0.09
1 Cocktail Bar 0.05
2 Vietnamese Restaurant 0.04
3 American Restaurant 0.04
4 Bakery 0.03
----Civic Center----
venue freq
0 Coffee Shop 0.06
1 Gym / Fitness Center 0.05
2 Hotel 0.04
3 French Restaurant 0.04
4 Yoga Studio 0.03
----Clinton----
venue freq
0 Theater 0.09
1 Italian Restaurant 0.05
2 Gym / Fitness Center 0.05
3 American Restaurant 0.04
4 Coffee Shop 0.04
----East Harlem----
venue freq
0 Mexican Restaurant 0.12
1 Bakery 0.10
2 Thai Restaurant 0.07
3 Latin American Restaurant 0.07
4 Deli / Bodega 0.05
----East Village----
venue freq
0 Bar 0.07
1 Ice Cream Shop 0.05
2 Wine Bar 0.05
3 Mexican Restaurant 0.04
4 Cocktail Bar 0.04
----Financial District----
venue freq
0 Coffee Shop 0.09
1 Bar 0.05
2 American Restaurant 0.05
3 Pizza Place 0.04
4 Gym 0.04
----Flatiron----
venue freq
0 Yoga Studio 0.04
1 Café 0.04
2 Japanese Restaurant 0.04
3 American Restaurant 0.04
4 Gym / Fitness Center 0.04
----Gramercy----
venue freq
0 Bar 0.05
1 Italian Restaurant 0.05
2 Bagel Shop 0.04
3 Mexican Restaurant 0.04
4 Pizza Place 0.04
----Greenwich Village----
venue freq
0 Italian Restaurant 0.13
1 Clothing Store 0.06
2 Café 0.04
3 Sushi Restaurant 0.04
4 French Restaurant 0.03
----Hamilton Heights----
venue freq
0 Pizza Place 0.10
1 Deli / Bodega 0.07
2 Coffee Shop 0.07
3 Café 0.07
4 Mexican Restaurant 0.05
----Hudson Yards----
venue freq
0 American Restaurant 0.06
1 Gym / Fitness Center 0.05
2 Coffee Shop 0.05
3 Hotel 0.05
4 Italian Restaurant 0.05
----Inwood----
venue freq
0 Lounge 0.07
1 Mexican Restaurant 0.07
2 Pizza Place 0.05
3 Café 0.05
4 Restaurant 0.05
----Lenox Hill----
venue freq
0 Italian Restaurant 0.07
1 Coffee Shop 0.06
2 Sushi Restaurant 0.05
3 Pizza Place 0.05
4 Cocktail Bar 0.04
----Lincoln Square----
venue freq
0 Plaza 0.06
1 Café 0.05
2 Theater 0.05
3 Italian Restaurant 0.05
4 Performing Arts Venue 0.04
----Little Italy----
venue freq
0 Café 0.06
1 Bakery 0.05
2 Bubble Tea Shop 0.04
3 Mediterranean Restaurant 0.03
4 Italian Restaurant 0.03
----Lower East Side----
venue freq
0 Pizza Place 0.05
1 Coffee Shop 0.05
2 Art Gallery 0.05
3 Café 0.05
4 Japanese Restaurant 0.04
----Manhattan Valley----
venue freq
0 Pizza Place 0.06
1 Bar 0.06
2 Indian Restaurant 0.06
3 Playground 0.04
4 Thai Restaurant 0.04
----Manhattanville----
venue freq
0 Coffee Shop 0.07
1 Park 0.05
2 Mexican Restaurant 0.05
3 Deli / Bodega 0.05
4 Seafood Restaurant 0.05
----Marble Hill----
venue freq
0 Gym 0.08
1 Sandwich Place 0.08
2 Coffee Shop 0.08
3 Yoga Studio 0.04
4 Seafood Restaurant 0.04
----Midtown----
venue freq
0 Hotel 0.07
1 Coffee Shop 0.04
2 Clothing Store 0.04
3 Cocktail Bar 0.03
4 Sporting Goods Shop 0.03
----Midtown South----
venue freq
0 Korean Restaurant 0.15
1 Japanese Restaurant 0.05
2 Hotel Bar 0.05
3 Hotel 0.05
4 Dessert Shop 0.04
----Morningside Heights----
venue freq
0 American Restaurant 0.07
1 Park 0.07
2 Bookstore 0.07
3 Coffee Shop 0.07
4 Sandwich Place 0.05
----Murray Hill----
venue freq
0 Coffee Shop 0.05
1 Sandwich Place 0.05
2 American Restaurant 0.04
3 Japanese Restaurant 0.04
4 Hotel 0.04
----Noho----
venue freq
0 French Restaurant 0.05
1 Italian Restaurant 0.05
2 Cocktail Bar 0.04
3 Hotel 0.04
4 Rock Club 0.03
----Roosevelt Island----
venue freq
0 Coffee Shop 0.07
1 Sandwich Place 0.07
2 Park 0.07
3 Residential Building (Apartment / Condo) 0.03
4 Gym 0.03
----Soho----
venue freq
0 Clothing Store 0.10
1 Boutique 0.06
2 Women's Store 0.04
3 Shoe Store 0.04
4 Art Gallery 0.04
----Stuyvesant Town----
venue freq
0 Bar 0.12
1 Park 0.12
2 Farmers Market 0.06
3 Gym / Fitness Center 0.06
4 Heliport 0.06
----Sutton Place----
venue freq
0 Gym / Fitness Center 0.06
1 Italian Restaurant 0.04
2 Furniture / Home Store 0.04
3 Gym 0.04
4 Indian Restaurant 0.03
----Tribeca----
venue freq
0 Park 0.05
1 American Restaurant 0.05
2 Italian Restaurant 0.05
3 Café 0.04
4 Spa 0.04
----Tudor City----
venue freq
0 Park 0.06
1 Café 0.06
2 Mexican Restaurant 0.06
3 Coffee Shop 0.04
4 Diner 0.04
----Turtle Bay----
venue freq
0 Italian Restaurant 0.07
1 Sushi Restaurant 0.05
2 Coffee Shop 0.05
3 Steakhouse 0.05
4 Wine Bar 0.04
----Upper East Side----
venue freq
0 Exhibit 0.06
1 Art Gallery 0.06
2 Italian Restaurant 0.06
3 Coffee Shop 0.05
4 Bakery 0.05
----Upper West Side----
venue freq
0 Italian Restaurant 0.06
1 Coffee Shop 0.04
2 Bar 0.04
3 Wine Bar 0.04
4 Café 0.04
----Washington Heights----
venue freq
0 Café 0.06
1 Grocery Store 0.04
2 Bakery 0.04
3 Mobile Phone Shop 0.03
4 Supplement Shop 0.02
----West Village----
venue freq
0 Italian Restaurant 0.09
1 New American Restaurant 0.06
2 Cosmetics Shop 0.05
3 American Restaurant 0.05
4 Wine Bar 0.04
----Yorkville----
venue freq
0 Italian Restaurant 0.07
1 Coffee Shop 0.06
2 Gym 0.06
3 Bar 0.05
4 Pizza Place 0.04Let’s put that into a pandas dataframe.
# funciton to sort the venues in descending order
def return_most_common_venues(row, num_top_venues):
row_categories = row.iloc[1:]
row_categories_sorted = row_categories.sort_values(ascending=False)
return row_categories_sorted.index.values[0:num_top_venues]Let’s create the new dataframe and display the top 10 venues for each neighborhood.
num_top_venues = 10
indicators = ['st', 'nd', 'rd']
# create columns according to number of top venues
columns = ['Neighborhood']
for ind in np.arange(num_top_venues):
try:
columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))
except:
columns.append('{}th Most Common Venue'.format(ind+1))
# create a new dataframe
neighborhoods_venues_sorted = pd.DataFrame(columns=columns)
neighborhoods_venues_sorted['Neighborhood'] = manhattan_grouped['Neighborhood']
for ind in np.arange(manhattan_grouped.shape[0]):
neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(manhattan_grouped.iloc[ind, :], num_top_venues)
neighborhoods_venues_sorted.head()| Neighborhood | 1st Most Common Venue | 2nd Most Common Venue | 3rd Most Common Venue | 4th Most Common Venue | 5th Most Common Venue | 6th Most Common Venue | 7th Most Common Venue | 8th Most Common Venue | 9th Most Common Venue | 10th Most Common Venue | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Battery Park City | Park | Coffee Shop | Hotel | Women’s Store | Memorial Site | Shopping Mall | Gym | Wine Shop | Boat or Ferry | Food Court |
| 1 | Carnegie Hill | Pizza Place | Coffee Shop | Café | Bookstore | Cosmetics Shop | Grocery Store | Gym | Gym / Fitness Center | Bakery | Japanese Restaurant |
| 2 | Central Harlem | African Restaurant | Fried Chicken Joint | French Restaurant | American Restaurant | Chinese Restaurant | Cosmetics Shop | Seafood Restaurant | Bar | Metro Station | Southern / Soul Food Restaurant |
| 3 | Chelsea | Coffee Shop | Italian Restaurant | Bakery | Wine Shop | American Restaurant | Ice Cream Shop | Theater | Hotel | Sushi Restaurant | Cupcake Shop |
| 4 | Chinatown | Chinese Restaurant | Cocktail Bar | American Restaurant | Vietnamese Restaurant | Hotpot Restaurant | Optical Shop | Spa | Bakery | Salon / Barbershop | Bar |
Cluster the neighborhoods
Run the k-means algorithm to cluster the neighborhood into 5 clusters.
# set the number of clusters
kclusters = 5
manhattan_grouped_clustering = manhattan_grouped.drop('Neighborhood', 1)
# run k-means clustering
kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(manhattan_grouped_clustering)
# check cluster labels generated for each row in the dataframe
kmeans.labels_[0:10]array([1, 0, 1, 1, 1, 1, 1, 3, 0, 0], dtype=int32)Let’s create a new dataframe that includes the cluster as well as the top 10 venues for each neighborhood.
# add clustering labels
neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)
manhattan_merged = manhattan_data
# merge manhattan_grouped with manhattan_data to add latitude/longitude for each neighborhood
manhattan_merged = manhattan_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')
manhattan_merged.head()| Borough | Neighborhood | Latitude | Longitude | Cluster Labels | 1st Most Common Venue | 2nd Most Common Venue | 3rd Most Common Venue | 4th Most Common Venue | 5th Most Common Venue | 6th Most Common Venue | 7th Most Common Venue | 8th Most Common Venue | 9th Most Common Venue | 10th Most Common Venue | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Manhattan | Marble Hill | 40.876551 | -73.910660 | 4 | Coffee Shop | Gym | Sandwich Place | Yoga Studio | Tennis Stadium | Supplement Shop | Donut Shop | Miscellaneous Shop | Steakhouse | Discount Store |
| 1 | Manhattan | Chinatown | 40.715618 | -73.994279 | 1 | Chinese Restaurant | Cocktail Bar | American Restaurant | Vietnamese Restaurant | Hotpot Restaurant | Optical Shop | Spa | Bakery | Salon / Barbershop | Bar |
| 2 | Manhattan | Washington Heights | 40.851903 | -73.936900 | 3 | Café | Grocery Store | Bakery | Mobile Phone Shop | Pizza Place | Chinese Restaurant | Tapas Restaurant | Mexican Restaurant | Coffee Shop | Supplement Shop |
| 3 | Manhattan | Inwood | 40.867684 | -73.921210 | 3 | Mexican Restaurant | Lounge | Pizza Place | Restaurant | Café | Spanish Restaurant | Bakery | Park | Chinese Restaurant | Frozen Yogurt Shop |
| 4 | Manhattan | Hamilton Heights | 40.823604 | -73.949688 | 3 | Pizza Place | Café | Coffee Shop | Deli / Bodega | Mexican Restaurant | Yoga Studio | Sushi Restaurant | Caribbean Restaurant | Chinese Restaurant | School |
Let’s visualize the clusters.
# create map
map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)
# set color scheme for the clusters
x = np.arange(kclusters)
ys = [i + x + (i*x)**2 for i in range(kclusters)]
colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))
rainbow = [colors.rgb2hex(i) for i in colors_array]
# add markers to the map
markers_colors = []
for lat, lon, poi, cluster in zip(manhattan_merged['Latitude'], manhattan_merged['Longitude'], manhattan_merged['Neighborhood'], manhattan_merged['Cluster Labels']):
label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)
folium.CircleMarker(
[lat, lon],
radius=5,
popup=label,
color=rainbow[cluster-1],
fill=True,
fill_color=rainbow[cluster-1],
fill_opacity=0.7).add_to(map_clusters)
map_clusters
Examine the clusters
You can examine and determine the discriminating venue categories that distinguish each cluster. Based on the defining categories, you can assign a name to each cluster.
Cluster 1
manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 0, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]| Neighborhood | 1st Most Common Venue | 2nd Most Common Venue | 3rd Most Common Venue | 4th Most Common Venue | 5th Most Common Venue | 6th Most Common Venue | 7th Most Common Venue | 8th Most Common Venue | 9th Most Common Venue | 10th Most Common Venue | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | Yorkville | Italian Restaurant | Coffee Shop | Gym | Bar | Pizza Place | Deli / Bodega | Sushi Restaurant | Wine Shop | Mexican Restaurant | Japanese Restaurant |
| 10 | Lenox Hill | Italian Restaurant | Coffee Shop | Sushi Restaurant | Pizza Place | Cocktail Bar | Burger Joint | Gym / Fitness Center | Café | Gym | Sporting Goods Shop |
| 12 | Upper West Side | Italian Restaurant | Wine Bar | Bar | Café | Coffee Shop | Mediterranean Restaurant | Bakery | Indian Restaurant | Yoga Studio | Dessert Shop |
| 13 | Lincoln Square | Plaza | Café | Theater | Italian Restaurant | Concert Hall | Performing Arts Venue | Indie Movie Theater | American Restaurant | Gym / Fitness Center | Park |
| 18 | Greenwich Village | Italian Restaurant | Clothing Store | Sushi Restaurant | Café | Seafood Restaurant | Indian Restaurant | French Restaurant | Cosmetics Shop | Gourmet Shop | Boutique |
| 19 | East Village | Bar | Wine Bar | Ice Cream Shop | Pizza Place | Mexican Restaurant | Chinese Restaurant | Cocktail Bar | Ramen Restaurant | Italian Restaurant | Japanese Restaurant |
| 25 | Manhattan Valley | Pizza Place | Indian Restaurant | Bar | Yoga Studio | Coffee Shop | Mexican Restaurant | Deli / Bodega | Thai Restaurant | Playground | Park |
| 29 | Financial District | Coffee Shop | American Restaurant | Bar | Gym | Pizza Place | Gym / Fitness Center | Hotel | Steakhouse | Food Truck | Event Space |
| 30 | Carnegie Hill | Pizza Place | Coffee Shop | Café | Bookstore | Cosmetics Shop | Grocery Store | Gym | Gym / Fitness Center | Bakery | Japanese Restaurant |
| 33 | Midtown South | Korean Restaurant | Hotel | Hotel Bar | Japanese Restaurant | Dessert Shop | Gym / Fitness Center | Coffee Shop | Cosmetics Shop | American Restaurant | Fried Chicken Joint |
| 34 | Sutton Place | Gym / Fitness Center | Furniture / Home Store | Italian Restaurant | Gym | Coffee Shop | Indian Restaurant | Yoga Studio | Chinese Restaurant | Sushi Restaurant | Pilates Studio |
| 35 | Turtle Bay | Italian Restaurant | Coffee Shop | Sushi Restaurant | Steakhouse | Wine Bar | Park | Ramen Restaurant | Hotel | Indian Restaurant | Café |
| 38 | Flatiron | Yoga Studio | American Restaurant | Gym / Fitness Center | Café | Japanese Restaurant | Spa | Mediterranean Restaurant | Cycle Studio | Cosmetics Shop | New American Restaurant |
| 39 | Hudson Yards | American Restaurant | Hotel | Gym / Fitness Center | Coffee Shop | Italian Restaurant | Café | Thai Restaurant | Park | Art Gallery | Spanish Restaurant |
Cluster 2
manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 1, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]| Neighborhood | 1st Most Common Venue | 2nd Most Common Venue | 3rd Most Common Venue | 4th Most Common Venue | 5th Most Common Venue | 6th Most Common Venue | 7th Most Common Venue | 8th Most Common Venue | 9th Most Common Venue | 10th Most Common Venue | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Chinatown | Chinese Restaurant | Cocktail Bar | American Restaurant | Vietnamese Restaurant | Hotpot Restaurant | Optical Shop | Spa | Bakery | Salon / Barbershop | Bar |
| 6 | Central Harlem | African Restaurant | Fried Chicken Joint | French Restaurant | American Restaurant | Chinese Restaurant | Cosmetics Shop | Seafood Restaurant | Bar | Metro Station | Southern / Soul Food Restaurant |
| 8 | Upper East Side | Art Gallery | Italian Restaurant | Exhibit | Coffee Shop | Bakery | Juice Bar | Gym / Fitness Center | French Restaurant | Hotel | Pizza Place |
| 14 | Clinton | Theater | Italian Restaurant | Gym / Fitness Center | American Restaurant | Coffee Shop | Sandwich Place | Wine Shop | Spa | Hotel | Lounge |
| 15 | Midtown | Hotel | Coffee Shop | Clothing Store | Bakery | Steakhouse | French Restaurant | Café | Theater | Sporting Goods Shop | Cocktail Bar |
| 16 | Murray Hill | Coffee Shop | Sandwich Place | Japanese Restaurant | American Restaurant | Hotel | Gym | Italian Restaurant | Gym / Fitness Center | Mediterranean Restaurant | Bagel Shop |
| 17 | Chelsea | Coffee Shop | Italian Restaurant | Bakery | Wine Shop | American Restaurant | Ice Cream Shop | Theater | Hotel | Sushi Restaurant | Cupcake Shop |
| 20 | Lower East Side | Pizza Place | Coffee Shop | Café | Art Gallery | Japanese Restaurant | Ramen Restaurant | Chinese Restaurant | Cocktail Bar | Bakery | Filipino Restaurant |
| 21 | Tribeca | Park | American Restaurant | Italian Restaurant | Spa | Café | Wine Shop | Wine Bar | Boutique | Coffee Shop | Greek Restaurant |
| 22 | Little Italy | Café | Bakery | Bubble Tea Shop | Sandwich Place | Salon / Barbershop | Italian Restaurant | Mediterranean Restaurant | Cocktail Bar | Yoga Studio | Women’s Store |
| 23 | Soho | Clothing Store | Boutique | Art Gallery | Shoe Store | Women’s Store | Bakery | Furniture / Home Store | Sporting Goods Shop | Mediterranean Restaurant | Men’s Store |
| 24 | West Village | Italian Restaurant | New American Restaurant | American Restaurant | Cosmetics Shop | Park | Wine Bar | Cocktail Bar | Coffee Shop | Theater | Bakery |
| 27 | Gramercy | Bar | Italian Restaurant | Mexican Restaurant | Pizza Place | Bagel Shop | Thai Restaurant | Thrift / Vintage Store | Coffee Shop | Diner | Cocktail Bar |
| 28 | Battery Park City | Park | Coffee Shop | Hotel | Women’s Store | Memorial Site | Shopping Mall | Gym | Wine Shop | Boat or Ferry | Food Court |
| 31 | Noho | Italian Restaurant | French Restaurant | Cocktail Bar | Hotel | Grocery Store | Art Gallery | Pizza Place | Coffee Shop | Mexican Restaurant | American Restaurant |
| 32 | Civic Center | Coffee Shop | Gym / Fitness Center | Hotel | French Restaurant | Yoga Studio | Spa | Park | American Restaurant | Bakery | Sandwich Place |
Cluster 3
manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 2, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]| Neighborhood | 1st Most Common Venue | 2nd Most Common Venue | 3rd Most Common Venue | 4th Most Common Venue | 5th Most Common Venue | 6th Most Common Venue | 7th Most Common Venue | 8th Most Common Venue | 9th Most Common Venue | 10th Most Common Venue | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 37 | Stuyvesant Town | Park | Bar | Baseball Field | Pet Service | Gas Station | Boat or Ferry | Farmers Market | Gym / Fitness Center | Cocktail Bar | Harbor / Marina |
Cluster 4
manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 3, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]| Neighborhood | 1st Most Common Venue | 2nd Most Common Venue | 3rd Most Common Venue | 4th Most Common Venue | 5th Most Common Venue | 6th Most Common Venue | 7th Most Common Venue | 8th Most Common Venue | 9th Most Common Venue | 10th Most Common Venue | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | Washington Heights | Café | Grocery Store | Bakery | Mobile Phone Shop | Pizza Place | Chinese Restaurant | Tapas Restaurant | Mexican Restaurant | Coffee Shop | Supplement Shop |
| 3 | Inwood | Mexican Restaurant | Lounge | Pizza Place | Restaurant | Café | Spanish Restaurant | Bakery | Park | Chinese Restaurant | Frozen Yogurt Shop |
| 4 | Hamilton Heights | Pizza Place | Café | Coffee Shop | Deli / Bodega | Mexican Restaurant | Yoga Studio | Sushi Restaurant | Caribbean Restaurant | Chinese Restaurant | School |
| 5 | Manhattanville | Coffee Shop | Deli / Bodega | Italian Restaurant | Mexican Restaurant | Seafood Restaurant | Park | Indian Restaurant | Supermarket | Boutique | Spanish Restaurant |
| 7 | East Harlem | Mexican Restaurant | Bakery | Latin American Restaurant | Thai Restaurant | Deli / Bodega | French Restaurant | Spa | Liquor Store | Taco Place | Gas Station |
| 11 | Roosevelt Island | Park | Coffee Shop | Sandwich Place | Kosher Restaurant | Gym / Fitness Center | Gym | Greek Restaurant | Dry Cleaner | Outdoors & Recreation | Playground |
| 26 | Morningside Heights | Bookstore | Park | American Restaurant | Coffee Shop | Burger Joint | Sandwich Place | Deli / Bodega | Café | Seafood Restaurant | Salad Place |
| 36 | Tudor City | Park | Mexican Restaurant | Café | Deli / Bodega | Diner | Pizza Place | Coffee Shop | Greek Restaurant | Dog Run | Thai Restaurant |
Cluster 5
manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 4, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]| Neighborhood | 1st Most Common Venue | 2nd Most Common Venue | 3rd Most Common Venue | 4th Most Common Venue | 5th Most Common Venue | 6th Most Common Venue | 7th Most Common Venue | 8th Most Common Venue | 9th Most Common Venue | 10th Most Common Venue | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Marble Hill | Coffee Shop | Gym | Sandwich Place | Yoga Studio | Tennis Stadium | Supplement Shop | Donut Shop | Miscellaneous Shop | Steakhouse | Discount Store |
Cluster 2 is the biggest. Cluster 3 and 5 have only one neighborhood each.