Search Results for: map chenango county

It’s Monday – Let’s go chase that ducking money 💵

I mean Dan Halloran wasn’t wrong. Sometimes you got to swim in the mud and muck in the Cesspool of New York State to pay for the days riding Blackie through the cow shit and horse manure of Schuyler County. Those ten days went by so quickly and I’m back in Albany with the rain falling down doing my morning. The first day back is always the hardest, especially on such a dreary day but those eighteen flights of stairs must be climbed even with the door to door service of the local.

Good morning! Monday’s come back around again. Time for the morning walk and that old John Prine record. And maybe Paul Simon. 🎶 Rain I know I’m shocked and 65 degrees for the morning walk in Delmar, NY. ☁ There is a south-southeast breeze at 5 mph. 🍃. The dew point is 60 degrees. The skies will clear tomorrow around 9 am.

Out walking this morning 🚶 in the rain like so many days lately back in the Albany. The weather was so unbelievably nice out in the Finger Lakes. 📻 But it also was nice camping 🏕 somewhere without cell service 🔕 and no radio – avoiding the shit known as the news, all bad and useless crap – and the even worse social media. I heard that Florida Man got indicted for even more felonies over the past week and might soon be subject to a protective order. Good for him and I do think his cases will ultimately for first amendment law ⚖ and restorative justice. I mean he will likely be the first felon ever to be a major presidential party candidate. 👩🏻‍⚖️Maybe he’s bad for our country but he’s a good force for it’s laws. Crises are often best the time for reform. I’m excited about some of the second amendment cases in front of the Supreme Court in the coming year. 🔫 Whatever you think it Florida man, be has been a voice for change in the justice system – many times unintentionally.

Not to be overally negative after vacation, but I know I wouldn’t return to Albany if I didn’t like playing in the shit of the Cesspool, 💩 and making that big boy money 💵 from my corner office that overlooks the Capitol, Empire State Plaza and also the Hudson River and Dunn landfill that is when the caustic smoke from the Canada wildfires doesn’t drown out the skyline. I mean I wouldn’t listen to Paul Simon’s Duncan if I didn’t like that song. Like so many things in this world. It’s so hard to get up and going after 10 days of pure delight out in the Finger Lakes. I wish I could live every day out in the woods, in the country. 🚜 But alas, I’m back in the city, back taking the local bus downtown to work. I know it’s going to be a great week, 😀 I have good healthy food to eat,

Today will have showers and thunderstorms before 10am, then showers likely and possibly a thunderstorm between 10am and noon, then a chance of showers and thunderstorms after noon. Some of the storms could produce gusty winds and heavy rain. 🌧 High of 75 degrees at 4pm. Six degrees below normal, which is similar to a typical day around September 8th. Maximum dew point of 71 at 3pm. 🏖️ Southeast wind 8 to 11 mph. Chance of precipitation is 80%. New not rainfall amounts between a half and three quarters of an inch possible. A year ago, we had cloudy skies. It became very sticky as the day progressed. The high last year was 91 degrees. The record high of 102 was set in 1918.

Pots of red kidney beans, brown rice with red lentils and split peas are cooking down this morning on the stove. 🧑‍🍳 Good carbs cooking down to be the basis of many meals this week. I double checked to make sure they were properly refrigerated or frozen and the stove off before leaving for work on the local bus 🚍. I was hoping to ride to work today 🚲 but the weather is not cooperating and I wasn’t running early enough to catch the express after all that cooking and breakfast to say nothing about the morning walk. Oatmeal pancakes 🥞 for breakfast with some chia seeds mixed in and topped with frozen peaches, strawberries, mango and whatever else was in the blend with a little sugar free maple syrup.

I ended up spending a shocking 🤯 $120 in food this week at Hannaford, I fully admit I should have gone to Wally World last night but I was tired and my pantry was bare. I did end up rugged getting a lot of things, many things like the 5 lb bag of brown rice should last a few weeks. They didn’t have store brand only 5 lb of Carolina brown rice but the price was reasonable for a bag that size. They also had non-fat plain Greek yogurt actually in stock at Hannaford so I ended up buying 2 large containers as it can be hard to get locally. Unopened Greek yogurt has a shelf life of about two months refrigerated and two years frozen, which I was reading how good it freezes. Not that it would ever last that long because that’s how I get my dairy fix 🐮 these days, though I try to eat in moderation st least when I’m not on vacation. 🍋 I also bought big bags of red and Vidalia onions 🧅and lemons because I enjoyed such things a lot on vacation. Both can be used in so many meals, plus I’m hooked on fresh squeezed stevia lemonade especially on a hot summer evenings. There is worse things to be hooked on.

I do wish I had stopped at that farm stand I passed in Chenango County to get zucchini and more sweet corn 🌽 🍆 but summer isn’t over and I should be able to get both at the farmers market at the Plaza this week. I forgot how wonderful zucchini I when I got some and chopped it up and fried it. I was tired 😴 and just kind of focused on getting home yesterday after vacation then stopping at farm stands. 🤷 I also would like to get more peaches 🍑 from the farm market, as they are so much better then the store-bought ones that are rock-hard and less tasty. Yesterday, I got plums 🫐 at the grocery store and they are pretty good. They are supposed to make your skin really shinny. Good after that sun tan I got last week. Trying to try new fruits when in season to learn new tastes, and maximize the health benefits of variety. Changes it up from apples and bananas 🍌 🍏 every week, though I still keep both of them in my office and like to have those for snacking.

Solar noon 🌞 is at 1:02 pm with sun having an altitude of 63.9° from the due south horizon (-7° vs. 6/21). A six foot person will cast a 2.9 foot shadow today compared to 2.2 feet on the first day of summer. The golden hour 🏅 starts at 7:30 pm with the sun in the west-northwest (287°). 📸 The sunset is in the west-northwest (294°) with the sun dropping below the horizon at 8:10 pm after setting for 3 minutes and 9 seconds with dusk around 8:40 pm, which is one minute and 18 seconds earlier than yesterday. 🌇 The best time to look at the stars is after 9:20 pm. At sunset, look for rain 🌧 and thunderstorms 🌩 and temperatures around 73 degrees. The dew point will be 70 degrees. There will be a south-southeast breeze at 10 mph. Today will have 14 hours and 18 minutes of daytime, a decrease of 2 minutes and 22 seconds over yesterday.

More rain quite possibly tonight. They’re calling for a chance of showers and thunderstorms to start out the evening, then showers likely and possibly a thunderstorm after 10pm. Some of the storms could produce gusty winds and heavy rain. 🌩 Cloudy, with a low around 68. South wind 9 to 13 mph. Chance of precipitation is 70%. New rainfall amounts between a quarter and half of an inch possible. 💦 I have to say I’m glad I’m not camping this week at least not in the Albany-area. 🏘 The Finger Lakes have been much drier then locally. I guess there isn’t much of a fire danger locally at this point. 🚒 But I’m still hopeful to get out for my evening walk 🚶‍♀️ after my dinner of salmon, rice, spinach, onions and any other thing that wets my appetite.  🐟 😋

That said, we do have more good weather to look forward to come this weekend. 😎 Saturday, a chance of showers and thunderstorms. Mostly sunny, with a high near 83. Chance of precipitation is 30%. Maximum dew point of 66 at 1pm. Sunday, 😂a chance of showers. Partly sunny, with a high near 80. Chance of precipitation is 40%. Maximum dew point of 68 at 11am. Typical average high for the weekend is 83 degrees. Just kind of a chance of thunderstorms, but that’s to be expected on a summer weekend. The plans for the weekend are to be decided, but it seems so nice. 🦷 I have my dental cleaning on Friday, so I have to take off the first part of the morning for that but it could also be jumping off start to the weekend. Schoharie? Potholers? Adirondacks? So many options, though it seems like lately I’m always on the road burning up increasingly expensive gasoline. ⛽ If the forecast slides downhill, I’m thinking of doing some mountain biking in the Albany Pine Bush, and getting some watermelon at Market 32 🍉 which apparently is on sale this week. I do dig the sweetness of watermelon like that one I chomped on summer vacation.

Looking ahead, there are 2 weeks until World Mosquito Day 🐞 when the sun will be setting at 7:50 pm with dusk at 8:18 pm. On that day in 2022, we had hot weather partly sunny skies and temperatures between 88 and 70 degrees. Typically, the high temperature is 82 degrees. We hit a record high of 98 back in 1916.

Forked Lake

Sister Counties

Sister counties — these are counties that have most similar land cover by percentage, i.e. similar amounts of urbanization, crop land, hay fields, trees. Often, but not always these counties border each other. Sometimes this is true in both directions but not always. Fun with R.
 
Albany – Schenectady
Allegany – Cattaraugus
Bronx – Queens
Broome – Tioga
Cattaraugus – Allegany
Cayuga – Seneca
Chautauqua – Oswego
Chemung – Chenango
Chenango – Otsego
Clinton – Fulton
Columbia – Cortland
Cortland – Columbia
Delaware – Cattaraugus
Dutchess – Orange
Erie – Onondaga
Essex – Warren
Franklin – Lewis
Fulton – Clinton
Genesee – Seneca
Greene – Sullivan
Hamilton – Herkimer
Herkimer – St. Lawrence
Jefferson – Chautauqua
Kings – New York
Lewis – St. Lawrence
Livingston – Wyoming
Madison – Oneida
Monroe – Niagara
Montgomery – Tompkins
Nassau – Richmond
New York – Kings
Niagara – Wayne
Oneida – Madison
Onondaga – Ontario
Ontario – Livingston
Orange – Dutchess
Orleans – Niagara
Oswego – Chautauqua
Otsego – Chenango
Putnam – Dutchess
Queens – Bronx
Rensselaer – Schoharie
Richmond – Nassau
Rockland – Westchester
Saratoga – Fulton
Schenectady – Albany
Schoharie – Tioga
Schuyler – Steuben
Seneca – Cayuga
St. Lawrence – Lewis
Steuben – Schuyler
Suffolk – Monroe
Sullivan – Greene
Tioga – Broome
Tompkins – Schuyler
Ulster – Greene
Warren – Essex
Washington – Oneida
Wayne – Niagara
Westchester – Rockland
Wyoming – Livingston
Yates – Livingston
 
 
The Zonal Histogram was created in QGIS using the NLCD ’19 data. Here is the R script:
library(tidyverse)
rm(list=ls())

# read exported zonal histogram
hist <- read_csv('Desktop/county.csv') 

# calculate rowwise percentages of land use
hist <- hist %>% rowwise() %>% mutate(total = sum(across(contains('HISTO_')))) %>%
  mutate(across(contains('HISTO_'), ~(./total)*100 )) 

# include only relevant rows -- those in the histogram
hist <- hist %>% select(NAME10, contains('HISTO_'))


# go through each county
for (county in sort(hist$NAME10)) {
  searchCounty <- hist %>% filter(NAME10 == county)
  
  
  # calculate distance between search county and others
  # make our searchCounty dataframe the same size as the histogram table
  # subtract from histogram dataframe, taking absolute value 
  # sum rows to calculate the distance from the county
  # bind to histogram dataframe
  # better explanation: https://stackoverflow.com/questions/55681573/how-can-i-find-the-record-from-a-data-set-that-is-most-similar-to-a-test-record
  
  bd <- cbind(hist, dist=rowSums(abs(hist[,-1] - searchCounty[rep(1, nrow(hist)), -1]))) %>%
    arrange(dist)

  print(paste(county,'-',bd[2,1]))
}

My First Camping Trip of 2015

In 2015, my first camping trip ⛺ of the year was out to Chenango County at Balsam Swamp State Forest. It’s spring, it was rainy and muddy, as witnessed by truck.

Big Red is muddy... Just from dirt on rural Schoharie County

I visited the Berry Hill Firetower, 🗼which is now gated part way up.

Foggy afternoon

I camped at Balsam Swamp State Forest Camping-area.

Camp

Cleared out a bit 🌤 as the afternoon progressed.

Starting to clear

Before sunset.

Before Sunset

As the sun set, fog set in over the lake.

Bar the annoying hum of the neighbors generator it was a beautiful evening

Here’s a map. 🗺

Balsam Swamp State Forest

I am thinking about taking the first week of November off from work ⛺

I am thinking about taking the first week of November off from work ⛺

I’ve been doing a lot of study of the maps of the Loyalstock State Forest in the Endless Mountains Country of Pennsylvania, namely World’s End State Park. I could get a permit for a back country site – it’s certainly easy enough with the DCNR online website. That wouldn’t be too far compared to West Virginia and I’ve only briefly stopped at World’s End once coming back from Pennsylvania. There are some interesting looking trails and vista’s out that way. That said, this time of year I have to worry about snow and ice and there might be a fire ban in the forest as there often is seasonally in Pennsylvania.

Another option I’ve been considering is getting a permit for Hicks Run and camping down at Elk State Forest to hear the buggle of the elk and watch the elk graze. I might also stay a night or two at the Austin Dam primative campground which is a ten dollar donation to the not for profit that runs it. Might even be even more remote country than Loyalstock. Then there always is the possibility of a night or two at Asaph Run which is ten bucks and kind of too smushed together for my liking but is nice being close to the Pine Creek Valley Rail Trail.

Truth be told it’s been two years since I’ve been to Pennsylvania and I’d like to get back. I like seeing the Pennsylvania hick towns and the wild country boys that live out there. Everything in Pennsylvania has a very different land ethic – its about working the land and conserving it for generations to come. Plus I like seeing the all the burn barrels, burb piles and all the redneck shit only legal in Pennsylvania. Life just is wilder in the back roads of PA in the hills and the hollows, between the gob piles and abandoned old towns.

But that’s only one option. I kind of don’t want to go too far. Gas prices are kind of high and while I’m paranoid about my increasingly loud tires and that bad shock bushing, both which I will replace soon. Plus if I stay in New York State I can strap on my back tag, put on my shotgun and go for a walk in the woods. I still want to get out to Cazenovia but unless I get a camping permit, that’s only three nights. Plus I’m not big into campground camping. I like to have big fires, burn things, drink beer and listen to music good and loud. Not behave neighborly like one should in a campground.

For that I kind of like the Finger Lakes National Forest. I know you say not again! But I like how you don’t need a permit so no planning for stays up to two weeks. There are many fields and forest to wander around in and if it snows the roads are plowed. I like being able to set up camp and stay in the same place for a full week. I wouldn’t mind checking out the Western Finger Lakes but then the issue becomes where to camp, unless I want to go down to Allegany County. Or I guess Sugar Hill could split the dime – maybe some of the more westerly forests.

I’ve also thought about Cazenovia or Brookfield and then heading down to Chenango County to Balasm Pond in Pharsalia and then maybe to Long Pond in Greene. Some nice rural country out that way and it’s been a long time since I’ve been out that way. 2014 probably.

Mom suggested that I consider New Hampshire but that state kind of gives me bad vibes. I just don’t think of it being on vacation to drive around, searching for a spot to park my big jacked up truck and then navigate through crowds of people all wearing cashmere LL Bean sweaters to climb a mountain. Or camping in some crowded campground with a shit ton of rules. I’d rather just have my space to do my thing. If my choice is New Hampshire or staying home, might just stay home and save the money.

I don’t know, I should probably take off that first week of November before it gets too cold. Otherwise I’m going to loose a bunch of time at the end of the year. I certainly do want to do a few more trips though before the end of the year. But I don’t know – my truck is falling apart, my budget is broke and I’m not doing well emotionally. I want to get away, but every day becomes such a struggle. Maybe though some quiet time in the woods will do me some good and get me out of the rut I’m in, struggling every day to just keep my head above water.

Most Popular Makes of Auto in NY State

This shows the percentage of automobiles registered by the ten most popular makes of automobile in New York State. Chevrolet is by far the most popular in the state, although foreigns are more popular downstate.

Make CHEVR FORD TOYOT HONDA JEEP NISSA SUBAR DODGE GMC HYUND
County
ALBANY 11.3 11.1 10.1 12.7 4.3 5.6 5.3 2.7 2.0 3.1
ALLEGANY 20.4 17.8 5.5 3.4 5.5 3.4 3.0 7.6 5.4 1.4
BRONX 5.0 7.1 17.0 17.9 4.3 8.4 2.3 2.4 1.2 3.9
BROOME 14.1 10.7 15.1 8.7 3.8 5.8 4.3 3.6 3.1 4.6
CATTARAUGUS 20.4 16.5 6.4 3.6 6.3 3.0 3.3 6.1 5.5 1.7
CAYUGA 21.6 13.1 7.6 6.9 5.4 4.9 4.6 4.3 3.7 1.9
CHAUTAUQUA 17.8 17.0 7.6 6.0 5.9 3.6 4.9 5.6 3.4 2.6
CHEMUNG 15.3 13.1 8.9 6.8 4.6 9.5 4.0 5.1 4.2 3.8
CHENANGO 18.2 16.7 7.6 5.3 5.3 4.0 6.2 5.3 4.5 2.6
CLINTON 13.7 14.9 9.1 8.3 4.6 4.2 5.1 3.8 4.6 4.7
COLUMBIA 12.1 12.3 14.0 7.9 4.4 3.7 8.0 3.3 3.7 2.2
CORTLAND 19.3 13.8 6.5 5.5 5.2 6.5 6.5 4.9 3.3 2.7
DELAWARE 15.9 13.0 8.5 6.8 5.4 4.4 7.0 5.2 4.6 2.6
DUTCHESS 9.4 9.4 10.2 13.9 4.8 5.4 7.7 2.8 2.3 4.0
ERIE 17.4 14.5 9.1 6.4 6.1 4.2 4.1 3.3 3.1 3.1
ESSEX 15.5 15.9 9.3 6.5 5.8 3.0 6.2 4.0 4.3 2.2
FRANKLIN 17.2 16.5 7.5 5.3 5.0 2.6 4.8 5.1 5.8 2.6
FULTON 18.1 14.3 8.5 6.4 5.9 6.5 3.0 5.1 2.8 2.1
GENESEE 24.5 13.5 8.9 4.2 5.3 2.7 2.6 4.9 4.4 1.7
GREENE 14.0 13.6 7.4 7.1 4.9 3.9 8.8 3.7 4.8 2.7
HAMILTON 15.6 13.7 10.9 6.4 5.4 3.2 5.3 3.7 4.5 1.9
HERKIMER 16.9 15.0 7.6 7.0 5.4 4.0 4.5 4.4 3.8 2.7
JEFFERSON 14.2 16.5 8.4 7.2 5.8 3.6 3.9 5.1 3.2 2.5
KINGS 4.1 6.5 16.3 14.2 3.6 9.1 3.0 1.8 1.1 3.6
LEWIS 16.4 20.9 5.8 8.6 5.1 2.2 2.9 4.8 4.9 1.5
LIVINGSTON 21.0 15.7 7.2 6.2 5.6 3.1 3.7 5.5 3.7 2.0
MADISON 17.9 13.6 9.3 5.3 5.7 3.1 5.3 4.6 3.9 2.2
MONROE 16.6 10.2 10.5 10.3 4.3 5.7 4.7 2.8 3.1 3.2
MONTGOMERY 17.4 14.4 6.9 8.9 5.9 5.6 3.2 4.8 3.1 2.5
NASSAU 6.2 7.6 11.4 12.3 6.3 7.7 3.3 2.1 1.8 4.2
NEW YORK 3.9 7.4 11.9 11.3 4.3 4.6 4.1 1.6 1.0 2.3
NIAGARA 23.7 13.7 7.0 5.2 5.8 3.4 2.2 4.0 4.3 2.4
ONEIDA 13.5 13.3 10.1 8.4 5.2 4.7 4.8 3.6 3.8 2.9
ONONDAGA 14.9 10.1 10.3 8.0 5.9 4.8 6.0 3.6 2.5 3.2
ONTARIO 16.2 14.1 9.7 7.7 4.7 4.0 5.5 3.4 3.7 3.2
ORANGE 8.5 10.8 12.1 12.3 5.3 6.2 5.2 3.2 2.0 4.7
ORLEANS 27.5 15.5 5.3 4.6 4.7 2.4 2.4 5.3 5.2 1.7
OSWEGO 21.4 13.9 5.8 4.3 6.5 4.3 3.6 5.2 3.2 2.0
OTSEGO 13.9 14.6 9.6 8.9 4.9 5.2 7.2 4.9 3.7 2.5
OUT-OF-STATE 15.7 17.8 8.7 2.0 3.8 10.2 2.3 3.1 2.1 4.0
PUTNAM 8.4 8.6 10.1 13.9 5.9 4.2 9.3 2.5 2.5 3.9
QUEENS 4.8 7.3 16.6 15.0 4.1 9.8 2.7 1.9 1.2 3.7
RENSSELAER 12.9 12.5 9.2 12.0 4.9 5.1 6.0 3.0 2.9 2.9
RICHMOND 5.5 8.1 11.5 12.0 5.7 9.5 2.6 2.2 1.8 5.8
ROCKLAND 5.0 8.8 16.3 15.9 4.5 6.3 5.5 1.7 1.3 4.2
SARATOGA 10.2 11.0 11.1 13.8 5.0 4.9 5.4 2.6 2.8 3.0
SCHENECTADY 10.5 10.4 9.7 14.8 4.6 6.2 4.8 2.9 2.7 3.5
SCHOHARIE 16.8 13.8 7.1 8.1 5.6 3.8 5.7 4.8 4.2 2.4
SCHUYLER 14.8 15.8 8.1 5.5 5.6 5.6 6.0 6.3 3.6 2.3
SENECA 18.4 17.9 7.4 5.4 4.9 5.2 3.3 5.2 3.1 2.8
ST LAWRENCE 20.5 15.4 8.1 4.8 5.6 2.2 3.9 5.9 4.6 1.5
STEUBEN 17.0 15.4 6.7 4.7 6.1 5.5 4.2 6.6 4.3 2.5
SUFFOLK 8.9 10.3 10.8 11.2 6.9 7.0 3.2 2.9 2.0 4.7
SULLIVAN 11.7 12.6 9.9 7.8 5.9 5.0 5.2 4.6 3.0 4.1
TIOGA 15.3 14.3 10.7 7.6 4.6 5.8 4.8 5.2 4.2 3.1
TOMPKINS 11.5 9.8 14.0 12.1 3.7 5.2 9.1 3.2 2.1 2.8
ULSTER 8.9 10.0 11.1 10.4 5.3 6.2 7.9 3.8 3.1 3.8
WARREN 12.5 12.4 9.8 10.9 5.4 4.0 6.2 3.2 3.2 4.7
WASHINGTON 15.3 14.9 8.3 8.8 5.3 4.0 5.3 4.6 3.6 3.7
WAYNE 21.2 15.1 6.6 6.2 5.0 4.1 3.8 4.5 4.1 2.3
WESTCHESTER 6.0 7.2 11.1 14.7 5.7 5.0 6.5 1.6 1.6 2.9
WYOMING 22.8 17.4 6.2 3.5 6.3 2.4 2.9 5.4 4.1 1.5
YATES 19.3 16.3 7.7 5.1 5.3 3.4 4.7 5.3 4.7 2.3
import pandas as pd
import seaborn as sns

url='/media/hd2/auto/autoreg.csv.zip'
df=pd.read_csv(url)

sf=df[((df['Record Type']=='VEH'))].groupby(['County','Make']).count()['VIN'].unstack().T
sf=(sf/sf.sum()*100).fillna(0).T
tb=sf[ sf.sum().sort_values(ascending=False).index[:10]]
tb

cm =sns.color_palette("Spectral_r", as_cmap=True)
html=tb.style.background_gradient(cmap=cm,axis=1).render()

with open('/tmp/auto.html', 'w') as f:
    f.write(html)

Deepest Snow Recorded in NY State as of December 6, 2020

There locations have the deepest snow in New York State, per National Weather Service.

1) Lewis County, West Turin town, Highmarket (HGHN6)
4 inches ❄️❄️❄️❄️❄️ 6am

2) Schuyler County, Hector town, Smith Valley 1.9 SE (NY-SY-1)
One inch ❄️ 7am

3) Schuyler County, Hector town, Mecklenburg 4 SW (MECN6)
One inch ❄️ 7am

4) Cayuga County, Ledyard town, Aurora Research Farm (AURN6)
One inch ❄️ 7am

5) Tompkins County, Dryden town, Ithaca 6.4 E (NY-TM-42)
0.5 inches ❄️❄️ 7am

6) Oneida County, Lee town, Point Rock 0.6 SE (NY-OD-2)
0.5 inches ❄️❄️ 7am

7) Madison County, Nelson town, Cazenovia 2.9 SE (NY-MD-10)
0.5 inches ❄️❄️ 7am

8) Franklin County, Brighton town, Gabriels 1.3 SE (NY-FK-9)
0.5 inches ❄️❄️ 7am

9) Essex County, Schroon town, Olmstedville 4.6 NNE (NY-ES-6)
0.5 inches ❄️❄️ 8am

10) Delaware County, Stamford town, Hobart 4.8 ESE (NY-DL-25)
0.5 inches ❄️❄️ 7am

11) Cortland County, Freetown town, Freetown 1.0 NE (NY-CR-1)
0.5 inches ❄️❄️ 7am

12) Delaware County, Walton town, Walton 2 (WALN6)
Dusting 🌨 5am

13) Madison County, Oneida city, Oneida 0.4 NW (NY-MD-22)
Dusting 🌨 7am

14) Chenango County, Norwich town, Norwich (NRWN6)
Dusting 🌨 6am

15) Warren County, Chester town, North Creek 5 SE (NCKN6)
Dusting 🌨 7am

16) Franklin County, Malone town, Malone (MALN6)
Dusting 🌨 7am

17) Lewis County, Lowville town, Lowville (LOWN6)
Dusting 🌨 7am

18) Steuben County, Corning town, Corning (CORN6)
Dusting 🌨 7am

19) Allegany County, Alfred town, Alfred (ALFN6)
Dusting 🌨 7am

20) Tioga County, Berkshire town, Berkshire 2.0 N (NY-TG-5)
Dusting 🌨 8am

21) Tioga County, Candor town, Candor 0.7 NW (NY-TG-26)
Dusting 🌨 8am

22) Schuyler County, Hector town, Dundee 6.2 E (NY-SY-11)
Dusting 🌨 7am

23) Delaware County, Franklin town, Delhi 6.6 Wnw (NY-DL-32)
Dusting 🌨 7am

24) Delaware County, Hancock town, Long Eddy 6.5 NNE (NY-DL-23)
Dusting 🌨 8am

25) Chenango County, Preston town, Norwich 5.4 W (NY-CN-9)
Dusting 🌨 7am

 Hells Gate at Schodack Landing

Deepest Snow Recorded in NY State as of January 30, 2020

There locations have the deepest snow in New York State, per National Weather Service.

1) Essex County, North Elba town, Lake Placid 2 S (LPLN6)
12 inches 7am

2) Essex County, Schroon town, Olmstedville 4.6 NNE (NY-ES-6)
11.5 inches 8am

3) Essex County, Wilmington town, Wilmington 2W (WHFN6)
11 inches 8am

4) Franklin County, Brighton town, Gabriels 1.3 SE (NY-FK-9)
11 inches 7am

5) Essex County, Newcomb town, Newcomb (NCBN6)
11 inches 7am

6) Hamilton County, Indian Lake town, Indian Lake (INDN6)
10 inches 9am

7) Franklin County, Malone town, Malone (MALN6)
9 inches 7am

8) Lewis County, West Turin town, Highmarket (HGHN6)
9 inches 6am

9) Lewis County, Osceola town, Osceola (OCON6)
8 inches 7am

10) Madison County, Nelson town, Cazenovia 2.9 SE (NY-MD-10)
8 inches 7am

11) Warren County, Chester town, North Creek 5 SE (NCKN6)
8 inches 7am

12) Oneida County, Boonville town, Boonville 4 SSW (BOON6)
8 inches 7am

13) Franklin County, Tupper Lake town, Tupper Lake Sunmount (TOPN6)
6 inches 7am

14) Fulton County, Bleecker town, Gloversville 7NW (Peck Lake) (PEKN6)
6 inches 8am

15) Warren County, Warrensburg town, Warrensburg 2.1 Wnw (NY-WR-10)
5 inches 8am

16) Chenango County, Preston town, Norwich 5.4 W (NY-CN-9)
5 inches 7am

17) St. Lawrence County, Gouverneur town, Gouverneur 3 NW (GOVN6)
5 inches 7am

18) Lewis County, Watson town, Chase Lake (GFDN6)
5 inches 6am

19) Cortland County, Marathon town, Marathon 1.0 NW (NY-CR-5)
4.5 inches ❄️❄️❄️❄️❄️ 7am

20) Essex County, Chesterfield town, Keeseville 0.8 SE (NY-ES-7)
4 inches ❄️❄️❄️❄️❄️ 7am

21) Delaware County, Franklin town, Delhi 6.6 Wnw (NY-DL-32)
4 inches ❄️❄️❄️❄️❄️ 7am

22) Cortland County, Freetown town, Freetown 1.0 NE (NY-CR-1)
4 inches ❄️❄️❄️❄️❄️ 7am

23) Broome County, Barker town, Whitney Point 1.7 SSE (NY-BM-14)
4 inches ❄️❄️❄️❄️❄️ 7am

24) Lewis County, Lowville town, Lowville (LOWN6)
4 inches ❄️❄️❄️❄️❄️ 7am

25) Otsego County, Otsego town, Cooperstown (COPN6)
4 inches ❄️❄️❄️❄️❄️ 12am

Horseshoe Clove and Settles Hill